Subjects -> COMPUTER SCIENCE (Total: 2313 journals)
    - ANIMATION AND SIMULATION (33 journals)
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    - COMPUTER ARCHITECTURE (11 journals)
    - COMPUTER ENGINEERING (12 journals)
    - COMPUTER GAMES (23 journals)
    - COMPUTER PROGRAMMING (25 journals)
    - COMPUTER SCIENCE (1305 journals)
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    - THEORY OF COMPUTING (10 journals)

COMPUTER SCIENCE (1305 journals)                  1 2 3 4 5 6 7 | Last

Showing 1 - 200 of 872 Journals sorted alphabetically
3D Printing and Additive Manufacturing     Full-text available via subscription   (Followers: 27)
Abakós     Open Access   (Followers: 3)
ACM Computing Surveys     Hybrid Journal   (Followers: 29)
ACM Inroads     Full-text available via subscription   (Followers: 1)
ACM Journal of Computer Documentation     Free   (Followers: 4)
ACM Journal on Computing and Cultural Heritage     Hybrid Journal   (Followers: 5)
ACM Journal on Emerging Technologies in Computing Systems     Hybrid Journal   (Followers: 12)
ACM SIGACCESS Accessibility and Computing     Free   (Followers: 2)
ACM SIGAPP Applied Computing Review     Full-text available via subscription  
ACM SIGBioinformatics Record     Full-text available via subscription  
ACM SIGEVOlution     Full-text available via subscription  
ACM SIGHIT Record     Full-text available via subscription  
ACM SIGHPC Connect     Full-text available via subscription  
ACM SIGITE Newsletter     Open Access   (Followers: 1)
ACM SIGMIS Database: the DATABASE for Advances in Information Systems     Hybrid Journal  
ACM SIGUCCS plugged in     Full-text available via subscription  
ACM SIGWEB Newsletter     Full-text available via subscription   (Followers: 3)
ACM Transactions on Accessible Computing (TACCESS)     Hybrid Journal   (Followers: 3)
ACM Transactions on Algorithms (TALG)     Hybrid Journal   (Followers: 13)
ACM Transactions on Applied Perception (TAP)     Hybrid Journal   (Followers: 3)
ACM Transactions on Architecture and Code Optimization (TACO)     Hybrid Journal   (Followers: 9)
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)     Hybrid Journal  
ACM Transactions on Autonomous and Adaptive Systems (TAAS)     Hybrid Journal   (Followers: 10)
ACM Transactions on Computation Theory (TOCT)     Hybrid Journal   (Followers: 11)
ACM Transactions on Computational Logic (TOCL)     Hybrid Journal   (Followers: 5)
ACM Transactions on Computer Systems (TOCS)     Hybrid Journal   (Followers: 19)
ACM Transactions on Computer-Human Interaction     Hybrid Journal   (Followers: 15)
ACM Transactions on Computing Education (TOCE)     Hybrid Journal   (Followers: 9)
ACM Transactions on Computing for Healthcare     Hybrid Journal  
ACM Transactions on Cyber-Physical Systems (TCPS)     Hybrid Journal   (Followers: 1)
ACM Transactions on Design Automation of Electronic Systems (TODAES)     Hybrid Journal   (Followers: 5)
ACM Transactions on Economics and Computation     Hybrid Journal  
ACM Transactions on Embedded Computing Systems (TECS)     Hybrid Journal   (Followers: 4)
ACM Transactions on Information Systems (TOIS)     Hybrid Journal   (Followers: 18)
ACM Transactions on Intelligent Systems and Technology (TIST)     Hybrid Journal   (Followers: 11)
ACM Transactions on Interactive Intelligent Systems (TiiS)     Hybrid Journal   (Followers: 6)
ACM Transactions on Internet of Things     Hybrid Journal   (Followers: 2)
ACM Transactions on Modeling and Performance Evaluation of Computing Systems (ToMPECS)     Hybrid Journal  
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)     Hybrid Journal   (Followers: 10)
ACM Transactions on Parallel Computing     Full-text available via subscription  
ACM Transactions on Reconfigurable Technology and Systems (TRETS)     Hybrid Journal   (Followers: 6)
ACM Transactions on Sensor Networks (TOSN)     Hybrid Journal   (Followers: 9)
ACM Transactions on Social Computing     Hybrid Journal  
ACM Transactions on Spatial Algorithms and Systems (TSAS)     Hybrid Journal   (Followers: 1)
ACM Transactions on Speech and Language Processing (TSLP)     Hybrid Journal   (Followers: 11)
ACM Transactions on Storage     Hybrid Journal  
ACS Applied Materials & Interfaces     Hybrid Journal   (Followers: 41)
Acta Informatica Malaysia     Open Access  
Acta Universitatis Cibiniensis. Technical Series     Open Access   (Followers: 1)
Ad Hoc Networks     Hybrid Journal   (Followers: 12)
Adaptive Behavior     Hybrid Journal   (Followers: 8)
Additive Manufacturing Letters     Open Access   (Followers: 3)
Advanced Engineering Materials     Hybrid Journal   (Followers: 32)
Advanced Science Letters     Full-text available via subscription   (Followers: 9)
Advances in Adaptive Data Analysis     Hybrid Journal   (Followers: 9)
Advances in Artificial Intelligence     Open Access   (Followers: 33)
Advances in Catalysis     Full-text available via subscription   (Followers: 7)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 20)
Advances in Computer Engineering     Open Access   (Followers: 13)
Advances in Computer Science : an International Journal     Open Access   (Followers: 19)
Advances in Computing     Open Access   (Followers: 3)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 52)
Advances in Engineering Software     Hybrid Journal   (Followers: 27)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 19)
Advances in Human-Computer Interaction     Open Access   (Followers: 19)
Advances in Image and Video Processing     Open Access   (Followers: 20)
Advances in Materials Science     Open Access   (Followers: 20)
Advances in Multimedia     Open Access   (Followers: 1)
Advances in Operations Research     Open Access   (Followers: 13)
Advances in Remote Sensing     Open Access   (Followers: 59)
Advances in Science and Research (ASR)     Open Access   (Followers: 8)
Advances in Technology Innovation     Open Access   (Followers: 5)
AEU - International Journal of Electronics and Communications     Hybrid Journal   (Followers: 8)
African Journal of Information and Communication     Open Access   (Followers: 6)
African Journal of Mathematics and Computer Science Research     Open Access   (Followers: 5)
AI EDAM     Hybrid Journal   (Followers: 2)
Air, Soil & Water Research     Open Access   (Followers: 6)
AIS Transactions on Human-Computer Interaction     Open Access   (Followers: 5)
Al-Qadisiyah Journal for Computer Science and Mathematics     Open Access   (Followers: 2)
AL-Rafidain Journal of Computer Sciences and Mathematics     Open Access   (Followers: 3)
Algebras and Representation Theory     Hybrid Journal  
Algorithms     Open Access   (Followers: 13)
American Journal of Computational and Applied Mathematics     Open Access   (Followers: 8)
American Journal of Computational Mathematics     Open Access   (Followers: 6)
American Journal of Information Systems     Open Access   (Followers: 4)
American Journal of Sensor Technology     Open Access   (Followers: 2)
Analog Integrated Circuits and Signal Processing     Hybrid Journal   (Followers: 15)
Animation Practice, Process & Production     Hybrid Journal   (Followers: 4)
Annals of Combinatorics     Hybrid Journal   (Followers: 3)
Annals of Data Science     Hybrid Journal   (Followers: 14)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 16)
Annals of Pure and Applied Logic     Open Access   (Followers: 4)
Annals of Software Engineering     Hybrid Journal   (Followers: 12)
Annual Reviews in Control     Hybrid Journal   (Followers: 7)
Anuario Americanista Europeo     Open Access  
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 3)
Applied and Computational Harmonic Analysis     Full-text available via subscription  
Applied Artificial Intelligence: An International Journal     Hybrid Journal   (Followers: 17)
Applied Categorical Structures     Hybrid Journal   (Followers: 4)
Applied Clinical Informatics     Hybrid Journal   (Followers: 4)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 16)
Applied Computer Systems     Open Access   (Followers: 6)
Applied Computing and Geosciences     Open Access   (Followers: 3)
Applied Mathematics and Computation     Hybrid Journal   (Followers: 31)
Applied Medical Informatics     Open Access   (Followers: 11)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 4)
Applied Soft Computing     Hybrid Journal   (Followers: 13)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 5)
Applied System Innovation     Open Access   (Followers: 1)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 4)
Archive of Numerical Software     Open Access  
Archives and Museum Informatics     Hybrid Journal   (Followers: 97)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 5)
arq: Architectural Research Quarterly     Hybrid Journal   (Followers: 7)
Array     Open Access   (Followers: 1)
Artifact : Journal of Design Practice     Open Access   (Followers: 8)
Artificial Life     Hybrid Journal   (Followers: 7)
Asian Journal of Computer Science and Information Technology     Open Access   (Followers: 3)
Asian Journal of Control     Hybrid Journal  
Asian Journal of Research in Computer Science     Open Access   (Followers: 4)
Assembly Automation     Hybrid Journal   (Followers: 2)
Automatic Control and Computer Sciences     Hybrid Journal   (Followers: 6)
Automatic Documentation and Mathematical Linguistics     Hybrid Journal   (Followers: 5)
Automatica     Hybrid Journal   (Followers: 13)
Automatika : Journal for Control, Measurement, Electronics, Computing and Communications     Open Access  
Automation in Construction     Hybrid Journal   (Followers: 8)
Balkan Journal of Electrical and Computer Engineering     Open Access  
Basin Research     Hybrid Journal   (Followers: 7)
Behaviour & Information Technology     Hybrid Journal   (Followers: 32)
BenchCouncil Transactions on Benchmarks, Standards, and Evaluations     Open Access   (Followers: 7)
Big Data and Cognitive Computing     Open Access   (Followers: 5)
Big Data Mining and Analytics     Open Access   (Followers: 10)
Biodiversity Information Science and Standards     Open Access   (Followers: 2)
Bioinformatics     Hybrid Journal   (Followers: 226)
Bioinformatics Advances : Journal of the International Society for Computational Biology     Open Access   (Followers: 1)
Biomedical Engineering     Hybrid Journal   (Followers: 11)
Biomedical Engineering and Computational Biology     Open Access   (Followers: 11)
Briefings in Bioinformatics     Hybrid Journal   (Followers: 43)
British Journal of Educational Technology     Hybrid Journal   (Followers: 96)
Bulletin of Taras Shevchenko National University of Kyiv. Series: Physics and Mathematics     Open Access  
c't Magazin fuer Computertechnik     Full-text available via subscription   (Followers: 1)
Cadernos do IME : Série Informática     Open Access  
CALCOLO     Hybrid Journal  
CALICO Journal     Full-text available via subscription   (Followers: 3)
Calphad     Hybrid Journal  
Canadian Journal of Electrical and Computer Engineering     Full-text available via subscription   (Followers: 14)
Catalysis in Industry     Hybrid Journal  
CCF Transactions on High Performance Computing     Hybrid Journal  
CCF Transactions on Pervasive Computing and Interaction     Hybrid Journal  
CEAS Space Journal     Hybrid Journal   (Followers: 6)
Cell Communication and Signaling     Open Access   (Followers: 3)
Central European Journal of Computer Science     Hybrid Journal   (Followers: 5)
CERN IdeaSquare Journal of Experimental Innovation     Open Access  
Chaos, Solitons & Fractals     Hybrid Journal   (Followers: 1)
Chaos, Solitons & Fractals : X     Open Access   (Followers: 1)
Chemometrics and Intelligent Laboratory Systems     Hybrid Journal   (Followers: 13)
ChemSusChem     Hybrid Journal   (Followers: 7)
China Communications     Full-text available via subscription   (Followers: 8)
Chinese Journal of Catalysis     Full-text available via subscription   (Followers: 2)
Chip     Full-text available via subscription   (Followers: 5)
Ciencia     Open Access  
CIN : Computers Informatics Nursing     Hybrid Journal   (Followers: 11)
Circuits and Systems     Open Access   (Followers: 16)
CLEI Electronic Journal     Open Access  
Clin-Alert     Hybrid Journal   (Followers: 1)
Clinical eHealth     Open Access  
Cluster Computing     Hybrid Journal   (Followers: 1)
Cognitive Computation     Hybrid Journal   (Followers: 2)
Cognitive Computation and Systems     Open Access  
COMBINATORICA     Hybrid Journal  
Combinatorics, Probability and Computing     Hybrid Journal   (Followers: 4)
Combustion Theory and Modelling     Hybrid Journal   (Followers: 18)
Communication Methods and Measures     Hybrid Journal   (Followers: 12)
Communication Theory     Hybrid Journal   (Followers: 29)
Communications in Algebra     Hybrid Journal   (Followers: 1)
Communications in Partial Differential Equations     Hybrid Journal   (Followers: 2)
Communications of the ACM     Full-text available via subscription   (Followers: 59)
Communications of the Association for Information Systems     Open Access   (Followers: 15)
Communications on Applied Mathematics and Computation     Hybrid Journal   (Followers: 1)
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering     Hybrid Journal   (Followers: 4)
Complex & Intelligent Systems     Open Access   (Followers: 1)
Complex Adaptive Systems Modeling     Open Access  
Complex Analysis and Operator Theory     Hybrid Journal   (Followers: 2)
Complexity     Hybrid Journal   (Followers: 8)
Computación y Sistemas     Open Access  
Computation     Open Access   (Followers: 1)
Computational and Applied Mathematics     Hybrid Journal   (Followers: 3)
Computational and Mathematical Methods     Hybrid Journal  
Computational and Mathematical Methods in Medicine     Open Access   (Followers: 2)
Computational and Mathematical Organization Theory     Hybrid Journal   (Followers: 1)
Computational and Structural Biotechnology Journal     Open Access   (Followers: 1)
Computational and Theoretical Chemistry     Hybrid Journal   (Followers: 11)
Computational Astrophysics and Cosmology     Open Access   (Followers: 7)
Computational Biology and Chemistry     Hybrid Journal   (Followers: 13)
Computational Biology Journal     Open Access   (Followers: 6)
Computational Brain & Behavior     Hybrid Journal   (Followers: 1)
Computational Chemistry     Open Access   (Followers: 3)
Computational Communication Research     Open Access   (Followers: 1)
Computational Complexity     Hybrid Journal   (Followers: 5)
Computational Condensed Matter     Open Access   (Followers: 1)

        1 2 3 4 5 6 7 | Last

Similar Journals
Journal Cover
Applied System Innovation
Number of Followers: 1  

  This is an Open Access Journal Open Access journal
ISSN (Online) 2571-5577
Published by MDPI Homepage  [84 journals]
  • ASI, Vol. 5, Pages 59: Coordinating Production and Delivery Schedule of
           Multi-Product and Multi-Customer through Mathematical Programming

    • Authors: The Jin Ai, Ririn Diar Astanti
      First page: 59
      Abstract: Due to the shortage and high cost of shipping containers, manufacturers that distribute products for worldwide customers must optimize their delivery. Commonly, they complete their delivery schedule first before creating the production schedule. This article tries to address the scheduling problem arising in the process of creating the production schedule to meet the delivery schedule. The complexity of the situation is increased since there is concern about producing as few product types as possible in a single period and having a balance of production load over multiple periods. A mathematical programming model for addressing this production scheduling problem is proposed in the form of integer programming. This model can be solved using LINGO, a commercial mathematical programming software. Microsoft Excel® spreadsheets are used to store both the data input and the output of the mathematical programming model. The advantages of using Excel are its easy-to-read format and familiarity with most users in various companies. Computational experiments in several cases show that the proposed method is effective to create the production and delivery schedule in various problem settings as expected.
      Citation: Applied System Innovation
      PubDate: 2022-06-22
      DOI: 10.3390/asi5040059
      Issue No: Vol. 5, No. 4 (2022)
  • ASI, Vol. 5, Pages 60: Application of Tungsten-Oxide-Based Electrochromic
           Devices for Supercapacitors

    • Authors: Muyun Li, Haoyang Yan, Honglong Ning, Xinglin Li, Jinyao Zhong, Xiao Fu, Tian Qiu, Dongxiang Luo, Rihui Yao, Junbiao Peng
      First page: 60
      Abstract: For making full use of the discoloration function of electrochromic (EC) devices and better show the charge and discharge states of supercapacitors (SCs), electrochromic supercapacitors (ECSCs) have attracted much attention and expectations in recent years. The research progress of tungsten-oxide-based electrochromic supercapacitors (ECSCs) in recent years is reviewed in this paper. Nanostructured tungsten oxide is widely used to facilitate ion implantation/extraction and increase the porosity of the electrode. The low-dimensional nanostructured tungsten oxide was compared in four respects: material scale, electrode life, coloring efficiency, and specific capacitance. Due to the mechanics and ductility of nano-tungsten oxide electrodes, they are very suitable for the preparation of flexible ECSCs. With the application of an organic protective layer and metal nanowire conductive electrode, the device has higher coloring efficiency and a lower activation voltage. Finally, this paper indicates that in the future, WO3-based ECSCs will develop in the direction of self-supporting power supply to meet the needs of use.
      Citation: Applied System Innovation
      PubDate: 2022-06-23
      DOI: 10.3390/asi5040060
      Issue No: Vol. 5, No. 4 (2022)
  • ASI, Vol. 5, Pages 61: The Dichotomy of Neural Networks and Cryptography:
           War and Peace

    • Authors: Behrouz Zolfaghari, Takeshi Koshiba
      First page: 61
      Abstract: In recent years, neural networks and cryptographic schemes have come together in war and peace; a cross-impact that forms a dichotomy deserving a comprehensive review study. Neural networks can be used against cryptosystems; they can play roles in cryptanalysis and attacks against encryption algorithms and encrypted data. This side of the dichotomy can be interpreted as a war declared by neural networks. On the other hand, neural networks and cryptographic algorithms can mutually support each other. Neural networks can help improve the performance and the security of cryptosystems, and encryption techniques can support the confidentiality of neural networks. The latter side of the dichotomy can be referred to as the peace. There are, to the best of our knowledge, no current surveys that take a comprehensive look at the many ways neural networks are currently interacting with cryptography. This survey aims to fill that niche by providing an overview on the state of the cross-impact between neural networks and cryptography systems. To this end, this paper will highlight the current areas where progress is being made as well as the aspects where there is room for future research to be conducted.
      Citation: Applied System Innovation
      PubDate: 2022-06-24
      DOI: 10.3390/asi5040061
      Issue No: Vol. 5, No. 4 (2022)
  • ASI, Vol. 5, Pages 62: Determinants of Remanufacturing Adoption for
           Circular Economy: A Causal Relationship Evaluation Framework

    • Authors: Shahbaz Khan, Sadia Samar Ali, Rubee Singh
      First page: 62
      Abstract: Organizations are transforming their linear models into circular models in order to become more sustainable. Remanufacturing is an essential element of the circular model; thus, there is an urgent need to adopt remanufacturing. It can offer organizations economic and environmental advantages and facilitate the transition to a circular economy (CE). Several aspects are crucial to the use of remanufacturing methods in order to transition to the CE. Therefore, in this study, we aimed to develop a framework for investigating the causal relationship among determinants of adopting remanufacturing processes for the circular economy. Through an integrated approach comprising a literature review and the Modified Delphi Method, we identified ten remanufacturing adoption determinants. The causal relationship among these determinants was established using the DEMATEL method. Furthermore, we classified these determinants into cause and effect groups. Five determinants, “consumer preferences”, “remanufacturing adoption framework”, “market opportunities”, “management commitment”, and “preferential tax policies”, belong to the cause group, and the remaining five belong to the effect group based on the effect score. To implement remanufacturing processes and transition to a circular economy, it is necessary to pay greater attention to these identified determinants, especially those that belong to the cause group. The outcomes of this study may aid management and policy makers in formulating strategies for effectively implementing remanufacturing methods within their organizations.
      Citation: Applied System Innovation
      PubDate: 2022-06-24
      DOI: 10.3390/asi5040062
      Issue No: Vol. 5, No. 4 (2022)
  • ASI, Vol. 5, Pages 44: The Use of Mixed, Augmented and Virtual Reality in
           History of Art Teaching: A Case Study

    • Authors: Julio Cabero-Almenara, Carmen Llorente-Cejudo, Rosabel Martinez-Roig
      First page: 44
      Abstract: The incorporation of mixed, virtual, and augmented reality into the educational context takes place in this study through the development of a 3D object shaped by the artistic expressions of the Church of the Annunciation in Seville. In a study of an experimental and exploratory nature with a single group, we worked with a total of 20 students enrolled in a Master’s degree, taught at Seville University, under the title of “Arte: idea y producción” (Art: idea and production). A questionnaire based on the “Technology Acceptance Model” (TAM) was used to ascertain the degree of acceptance that the utilized technology had created among students after their participation in the experience. Likewise, the questionnaire permitted understanding of the assessment made by students concerning the presented objects. Among the results obtained, it is noticeable that the participating students show a high level of acceptance of augmented and virtual reality technologies, alongside favorable attitudes towards their utilization and the intention to use them. It is worth highlighting as a significant conclusion that the exploratory study was performed within a real classroom situation, suggesting that both technologies can be applied in formal training environments.
      Citation: Applied System Innovation
      PubDate: 2022-04-20
      DOI: 10.3390/asi5030044
      Issue No: Vol. 5, No. 3 (2022)
  • ASI, Vol. 5, Pages 45: A New Hybrid Dynamic FMECA with Decision-Making
           Methodology: A Case Study in An Agri-Food Company

    • Authors: Mario Di Nardo, Teresa Murino, Gianluca Osteria, Liberatina Carmela Santillo
      First page: 45
      Abstract: The Failure Mode and Effect Analysis (FMEA) is often used to improve a system’s reliability. This paper proposes a new approach that aims to overcome the most critical defects of the traditional FMEA. This new methodology combines the Entropy and Best Worst Method (BWM) methodology with the EDAS and System Dynamics, FMECA: The EN-B-ED Dynamic FMECA. The main innovation point of the proposed work is the presence of an unknown factor (Cost) that allows to obtain an objective weighted factor, a risk index when a machine failure occurs. The criticality analysis has been carried out using software (Vensim PLE x64) to simulate System Dynamics models to identify corrective actions and evaluate the possible implementation of these actions. The methodology proposed is applied to a case study in a relevant Italian company in the agri-food sector.
      Citation: Applied System Innovation
      PubDate: 2022-04-24
      DOI: 10.3390/asi5030045
      Issue No: Vol. 5, No. 3 (2022)
  • ASI, Vol. 5, Pages 46: Photovoltaic Roundabouts for Enhancement of
           Self-Sufficiency and Resiliency

    • Authors: Salvatore Leonardi, Giuseppe Marco Tina, Natalia Distefano
      First page: 46
      Abstract: Roundabouts have become a common type of intersection design in many countries. The area of the center island can be used to install a photovoltaic system to power local loads such as lighting systems. The objective of this study is to evaluate the degree of self-sufficiency that a roundabout can achieve depending on the availability of the area for the installation of a photovoltaic system and the energy demand for lighting. The methodology is divided into five steps aimed at calculating the parameters required to characterize the roundabouts from the point of view of the electricity that can be generated by the photovoltaic systems installed, and then to evaluate the energy consumption required to operate the different system solutions for lighting. The mini roundabouts are not considered as a location for the photovoltaic system; in fact, the minimum diameter must be between 29 and 34 m. Considering the available irradiance in Italy, systems with monocrystalline silicon modules are sufficient to ensure energy self-sufficiency at diameters of 24 m or more. Systems with polycrystalline silicon modules are suitable to ensure energy self-sufficiency at diameters of 25/26 m or more. Photovoltaic (PV) technology continues to make progress in increasing efficiency, such as bifacial PV modules. This means that even smaller roundabouts could be eligible for a PV system sized to meet local electricity needs.
      Citation: Applied System Innovation
      PubDate: 2022-04-29
      DOI: 10.3390/asi5030046
      Issue No: Vol. 5, No. 3 (2022)
  • ASI, Vol. 5, Pages 47: Components and Indicators of the Robot Programming
           Skill Assessment Based on Higher Order Thinking

    • Authors: Chacharin Lertyosbordin, Sorakrich Maneewan, Matt Easter
      First page: 47
      Abstract: Robot programming skill classes are becoming more popular. Higher order thinking, on the other hand, is an important issue in developing the skills of 21st-century learners. Truth be told, those two abilities are consistent subjects that are trending in academics. The purpose of this study is to design the components and indicators of a robot programming skill assessment based on higher order thinking. The methodology is divided into two phases: (1) qualitative research: a review of the literature on the issues for the synthesis of components and indicators of the robot programming skill assessment based on higher order thinking; and (2) quantitative research: to test the validity of the robot programming skill assessment by the content validity index test (CVI) with seven experts and the reliability with Cronbach’s alpha statistic test with the questionnaire results from 50 participants. The results show that the synthesized robot programming skill assessment consists of three components with 16 indicators, all of which are accepted for their agreed content validity index assessment (CVI = 1.00), and the internal consistency calculation results for the reliability test are found to have an acceptable reliability (α = 0.747).
      Citation: Applied System Innovation
      PubDate: 2022-04-30
      DOI: 10.3390/asi5030047
      Issue No: Vol. 5, No. 3 (2022)
  • ASI, Vol. 5, Pages 48: Augmented Reality-Based Framework Supporting Visual
           Inspection for Automotive Industry

    • Authors: Amal Chouchene, Adriana Ventura Carvalho, Fernando Charrua-Santos, Walid Barhoumi
      First page: 48
      Abstract: Visual inspection, inside an industrial environment, has attracted considerable research attention, in terms of its relation to improving productivity and its impact on building the Industry 4.0. One of the pillars of Industry 4.0 is the Augmented Reality (AR) technology, given its beneficiary for several tasks such as maintenance, assembly, and inspection. Nevertheless, such a data presenter tool essentially relies on the data collected from other modules. A keynote technology for data collecting, storing, and exploitation is the Industrial Internet of Things (IIoT) platform. In this context, this paper proposes an innovative framework in a real case-study industry. The proposed solution supports visual inspection, relying on AR to present the data and IIoT to collect it from the production line. User acceptance tests and feedback reflect the accuracy and effectiveness of the proposed system, especially when using Hand-Held Devices (HHD).
      Citation: Applied System Innovation
      PubDate: 2022-05-06
      DOI: 10.3390/asi5030048
      Issue No: Vol. 5, No. 3 (2022)
  • ASI, Vol. 5, Pages 49: Framing Algorithm-Driven Development of Sets of
           Objectives Using Elementary Interactions

    • Authors: Heinrich Söbke, Andrea Lück
      First page: 49
      Abstract: Multi-criteria decision analysis (MCDA) is an established methodology to support the decision-making of multi-objective problems. For conducting an MCDA, in most cases, a set of objectives (SOO) is required, which consists of a hierarchical structure comprised of objectives, criteria, and indicators. The development of an SOO is usually based on moderated development processes requiring high organizational and cognitive effort from all stakeholders involved. This article proposes elementary interactions as a key paradigm of an algorithm-driven development process for an SOO that requires little moderation efforts. Elementary interactions are self-contained information requests that may be answered with little cognitive effort. The pairwise comparison of elements in the well-known analytical hierarchical process (AHP) is an example of an elementary interaction. Each elementary interaction in the development process presented contributes to the stepwise development of an SOO. Based on the hypothesis that an SOO may be developed exclusively using elementary interactions (EIs), a concept for a multi-user platform is proposed. Essential components of the platform are a Model Aggregator, an Elementary Interaction Stream Generator, a Participant Manager, and a Discussion Forum. While the latter component serves the professional exchange of the participants, the first three components are intended to be automatable by algorithms. The platform concept proposed has been evaluated partly in an explorative validation study demonstrating the general functionality of the algorithms outlined. In summary, the platform concept suggested demonstrates the potential to ease SOO development processes as the platform concept does not restrict the application domain; it is intended to work with little administration moderation efforts, and it supports the further development of an existing SOO in the event of changes in external conditions. The algorithm-driven development of SOOs proposed in this article may ease the development of MCDA applications and, thus, may have a positive effect on the spread of MCDA applications.
      Citation: Applied System Innovation
      PubDate: 2022-05-09
      DOI: 10.3390/asi5030049
      Issue No: Vol. 5, No. 3 (2022)
  • ASI, Vol. 5, Pages 50: Heat and Flow Study of the Internally Finned Tubes
           with Different Fin Geometries

    • Authors: Evangelos Bellos, Panagiotis Lykas, Christos Tzivanidis
      First page: 50
      Abstract: Heat and flow enhancement is a critical weapon for the design of highly efficient, compact, and cost-effective devices. The objective of this analysis is the detailed examination of the implementation of different fin shapes on the internal side of a tube aiming the heat and flow enhancement. The reference empty tube is examined, while the use of circular, rectangular, and triangular fins is also studied. Different simulations were conducted with a developed computational fluid dynamic model, and the results were expressed in heat and flow terms. The developed model was validated by comparing the results with the theoretical expressions for the Nusselt number, as well as for the friction factor. The obtained results were evaluated by calculating the heat convection coefficient, the pressure drop, the Nusselt number, the friction factor, the pump work, the mean wall temperature, and the Bejan number. According to the calculations, the use of rectangular fins is the best solution; the use of triangular fins is the second choice, while the less efficient improvement method is the use of circular internal fins. Regarding the heat transfer enhancement, the rectangular fins lead to 36% enhancement, circular fins to 25%, and triangular fins to 23% compared to the reference tube.
      Citation: Applied System Innovation
      PubDate: 2022-05-23
      DOI: 10.3390/asi5030050
      Issue No: Vol. 5, No. 3 (2022)
  • ASI, Vol. 5, Pages 51: Smart Home Technology Solutions for Cardiovascular
           Diseases: A Systematic Review

    • Authors: Jeban Chandir Moses, Sasan Adibi, Maia Angelova, Sheikh Mohammed Shariful Islam
      First page: 51
      Abstract: Cardiovascular diseases (CVD) are the leading cause of mortality globally. Despite improvement in therapies, people with CVD lack support for monitoring and managing their condition at home and out of hospital settings. Smart Home Technologies have potential to monitor health status and support people with CVD in their homes. We explored the Smart Home Technologies available for CVD monitoring and management in people with CVD and acceptance of the available technologies to end-users. We systematically searched four databases, namely Medline, Web of Science, Embase, and IEEE, from 1990 to 2020 (search date 18 March 2020). “Smart-Home” was defined as a system using integrated sensor technologies. We included studies using sensors, such as wearable and non-wearable devices, to capture vital signs relevant to CVD at home settings and to transfer the data using communication systems, including the gateway. We categorised the articles for parameters monitored, communication systems and data sharing, end-user applications, regulations, and user acceptance. The initial search yielded 2462 articles, and the elimination of duplicates resulted in 1760 articles. Of the 36 articles eligible for full-text screening, we selected five Smart Home Technology studies for CVD management with sensor devices connected to a gateway and having a web-based user interface. We observed that the participants of all the studies were people with heart failure. A total of three main categories—Smart Home Technology for CVD management, user acceptance, and the role of regulatory agencies—were developed and discussed. There is an imperative need to monitor CVD patients’ vital parameters regularly. However, limited Smart Home Technology is available to address CVD patients’ needs and monitor health risks. Our review suggests the need to develop and test Smart Home Technology for people with CVD. Our findings provide insights and guidelines into critical issues, including Smart Home Technology for CVD management, user acceptance, and regulatory agency’s role to be followed when designing, developing, and deploying Smart Home Technology for CVD.
      Citation: Applied System Innovation
      PubDate: 2022-05-27
      DOI: 10.3390/asi5030051
      Issue No: Vol. 5, No. 3 (2022)
  • ASI, Vol. 5, Pages 52: An Overview of the Practical Use of the CCTV System
           in a Simple Assembly in a Flexible Manufacturing System

    • Authors: Peter Kostal, Vanessa Prajova, Stefan Vaclav, Sergiu-Dan Stan
      First page: 52
      Abstract: In this article, experiments are realized in the flexible manufacturing system ICIM 3000 (FESTO, Germany), and its assembly system, located at the Institute of production technologies, Faculty of Material Sciences and Technologies, Slovak University of Technology. The assembly system is the final product assembled, and this process consists of five components. Unwanted inaccuracies in the assembly process of the elements, such as the insertion of thermometers and hygrometers into the base plate, usually arise. Based on these inaccuracies, we realize some experiments by the camera system SBOC-Q-R3-WB. This deals with the method of image processing. The camera system parameters are set-up. At the end of this contribution, a base of evaluated results is suggested and some minor design changes are realized in the assembly station. The goal of these changes is the higher reliability of the assembly process.
      Citation: Applied System Innovation
      PubDate: 2022-05-31
      DOI: 10.3390/asi5030052
      Issue No: Vol. 5, No. 3 (2022)
  • ASI, Vol. 5, Pages 53: WOJR: A Recommendation System for Providing Similar
           Problems to Programming Assignments

    • Authors: Ryoya Yoshimura, Kazunori Sakamoto, Hironori Washizaki, Yoshiaki Fukazawa
      First page: 53
      Abstract: Programming education for beginners often employs online judges. Although this helps improve coding skills, students may not obtain sufficient educational effects if the assignment is too difficult. Instead of presenting a model answer to an assignment, this paper proposes an approach to provide students with problems that have content and answer source code similar to the assignment. The effectiveness of our approach is evaluated via an intervention experiment in a university lecture course. The improvement in the number of correct answers is statistically significant compared to the same course offered in a different year without the proposed system. Therefore, the proposed approach should aid in the understanding of an assignment and enhance the educational effect.
      Citation: Applied System Innovation
      PubDate: 2022-05-31
      DOI: 10.3390/asi5030053
      Issue No: Vol. 5, No. 3 (2022)
  • ASI, Vol. 5, Pages 54: Special Issue “Fuzzy Decision Making and Soft
           Computing Applications”

    • Authors: Giuseppe De Pietro, Marco Pota
      First page: 54
      Abstract: Research on fuzzy logic [1] and soft computing for decision making has a long history. In many fields of application, rule-based fuzzy systems have been employed [2–4] for their unique properties in solving modelling problems[...]
      Citation: Applied System Innovation
      PubDate: 2022-06-10
      DOI: 10.3390/asi5030054
      Issue No: Vol. 5, No. 3 (2022)
  • ASI, Vol. 5, Pages 55: Improved DeepSORT Algorithm Based on Multi-Feature

    • Authors: Haiying Liu, Yuncheng Pei, Qiancheng Bei, Lixia Deng
      First page: 55
      Abstract: At present, the detection-based pedestrian multi-target tracking algorithm is widely used in artificial intelligence, unmanned driving cars, virtual reality and other fields, and has achieved good tracking results. The traditional DeepSORT algorithm mainly tracks multiple pedestrian targets continuously, and can keep the ID unchanged. The applicability and tracking accuracy of the algorithm need to be further improved during tracking. In order to improve the tracking accuracy of the DeepSORT method, we propose a novel algorithm by revising the IOU distance metric in the matching process and integrating Feature Pyramid Network (FPN) and multi-layer pedestrian appearance features. The improved algorithm is verified on the public MOT-16 dataset, and the tracking accuracy of the algorithm is improved by 4.1%.
      Citation: Applied System Innovation
      PubDate: 2022-06-13
      DOI: 10.3390/asi5030055
      Issue No: Vol. 5, No. 3 (2022)
  • ASI, Vol. 5, Pages 56: A Comprehensive Survey of Digital Twins and
           Federated Learning for Industrial Internet of Things (IIoT), Internet of
           Vehicles (IoV) and Internet of Drones (IoD)

    • Authors: Sonain Jamil, MuhibUr Rahman, Fawad
      First page: 56
      Abstract: As a result of the advancement in the fourth industrial revolution and communication technology, the use of digital twins (DT) and federated learning (FL) in the industrial Internet of Things (IIoT), the Internet of Vehicles (IoV), and the Internet of Drones (IoD) is increasing. However, the deployment of DT and FL for IoV is challenging. In this survey, we focus on DT and FL for IIoT, IoV, and IoD. Initially, we analyzed the existing surveys. In this paper, we present the applications of DT and FL in IIoT, IoV, and IoD. We also present the open research issues and future directions.
      Citation: Applied System Innovation
      PubDate: 2022-06-13
      DOI: 10.3390/asi5030056
      Issue No: Vol. 5, No. 3 (2022)
  • ASI, Vol. 5, Pages 57: Chaotic Image Encryption: State-of-the-Art,
           Ecosystem, and Future Roadmap

    • Authors: Behrouz Zolfaghari, Takeshi Koshiba
      First page: 57
      Abstract: Recently, many researchers have been interested in the application of chaos in cryptography. Specifically, numerous research works have been focusing on chaotic image encryption. A comprehensive survey can highlight existing trends and shed light on less-studied topics in the area of chaotic image encryption. In addition to such a survey, this paper studies the main challenges in this field, establishes an ecosystem for chaotic image encryption, and develops a future roadmap for further research in this area.
      Citation: Applied System Innovation
      PubDate: 2022-06-13
      DOI: 10.3390/asi5030057
      Issue No: Vol. 5, No. 3 (2022)
  • ASI, Vol. 5, Pages 58: Determination of Point-to-Point 3D Routing
           Algorithm Using LiDAR Data for Noise Prediction

    • Authors: Shruti Bharadwaj, Rakesh Dubey, Md Iltaf Zafar, Rashid Faridi, Debashish Jena, Susham Biswas
      First page: 58
      Abstract: Urban planning, noise propagation modelling, viewshed analysis, etc., require determination of routes or supply lines for propagation. A point-to-point routing algorithm is required to determine the best routes for the propagation of noise levels from source to destination. Various optimization algorithms are present in the literature to determine the shortest route, e.g., Dijkstra, Ant-Colony algorithms, etc. However, these algorithms primarily work over 2D maps and multiple routes. The shortest route determination in 3D from unlabeled data (e.g., precise LiDAR terrain point cloud) is very challenging. The prediction of noise data for a place necessitates extraction of all possible principal routes between every source of noise and its destination, e.g., direct route, the route over the top of the building (or obstruction), routes around the sides of the building, and the reflected routes. It is thus required to develop an algorithm that will determine all the possible routes for propagation, using LiDAR data. The algorithm uses the novel cutting plane technique customized to work with LiDAR data to extract all the principal routes between every pair of noise source and destination. Terrain parameters are determined from routes for modeling. The terrain parameters, and noise data when integrated with a sophisticated noise model give an accurate prediction of noise for a place. The novel point-to-point routing algorithm is developed using LiDAR data of the RGIPT campus. All the shortest routes were tested for their spatial accuracy and efficacy to predict the noise levels accurately. Various routes are found to be accurate within ±9 cm, while predicted noise levels are found to be accurate within ±6 dBA at an instantaneous scale. The novel accurate 3D routing algorithm can improve the other urban applications too.
      Citation: Applied System Innovation
      PubDate: 2022-06-16
      DOI: 10.3390/asi5030058
      Issue No: Vol. 5, No. 3 (2022)
  • ASI, Vol. 5, Pages 29: The 3D Product Model Research Evolution and Future
           Trends: A Systematic Literature Review

    • Authors: Carl Kirpes, Guiping Hu, Dave Sly
      First page: 29
      Abstract: The 3D product model has long been a tool used by engineers to design and plan for the physical creation of a 3D object. The way in which the 3D product model has been applied to production and assembly processes has evolved over time, yet the current body of knowledge does not document that evolution. The purpose of this article is to collect and structure the evolution of 3D product model research, categorizing the ways in which the body of knowledge has evolved over time, while also providing a look into projected applications and research focuses of the 3D product model. The result of this article is the development of sixteen 3D product model research themes and the categorization of the body of knowledge within those themes, establishing a basis for 3D product model research ontology. Then, the paper explores where the evolution of the 3D product model is trending based on discussions with industry experts. The authors aim to provide a foundation for a comprehensive and interdisciplinary discussion amongst academia and industry about the current state and future trends of research on the 3D product model and its application in production and assembly processes.
      Citation: Applied System Innovation
      PubDate: 2022-02-22
      DOI: 10.3390/asi5020029
      Issue No: Vol. 5, No. 2 (2022)
  • ASI, Vol. 5, Pages 30: A Novel Method to Determine the Optimal Location
           for a Cellular Tower by Using LiDAR Data

    • Authors: Shruti Bharadwaj, Rakesh Dubey, Md Iltaf Zafar, Saurabh Kr Tiwary, Rashid Aziz Faridi, Susham Biswas
      First page: 30
      Abstract: The cellular industry faces challenges in controlling the quality of signals for all users, given its meteoric growth in the last few years. The service providers are required to place cellular towers at the optimal location for providing a strong cellular network in a particular region. However, due to buildings, roads, open spaces, etc., of varying topography in 3D (obstructing the signals) and varying densities of settlements, finding the optimal location for the tower becomes challenging. Further, in a bigger area, it is required to determine the optimum number and locations for setting up cellular towers to ensure improved quality. The determination of optimum solutions requires a signal strength prediction model that needs to integrate terrain data, information of cellular tower with users’ locations, along with tower signal strengths for predictions. Existing modeling practices face limitations in terms of the usage of 2D data, rough terrain inputs, and the inability to provide detailed shapefiles to GIS. The estimation of optimum distribution of cellular towers necessitates the determination of a model for the prediction of signal strength at users’ locations accurately. Better modeling is only possible with detailed and precise data in 3D. Considering the above needs, a LIDAR data-based cellular tower distribution modeling is attempted in this article. The locations chosen for this research are RGIPT, UP (45 Acre), and Shahganj, Agra, UP, India (6 km2). LiDAR data and google images for the project sites were classified as buildings and features. The edges of overground objects were extracted and used to determine the routes for transmission of a signal from the tower to user locations. The terrain parameters and transmission losses for every route are determined to model the signal strength for a user’s location. The ground strength of signals is measured over 1000 points in 3D at project sites to compare with modeled signal strengths (an RMSE error 3.45). The accurate model is then used to determine the optimum number and locations of cellular towers for each site. Modeled optimum solutions are compared with existing tower locations to estimate % over design or under design and the scope of improvement (80% users below −80 dB m improves to 70% users above −75 dB m).
      Citation: Applied System Innovation
      PubDate: 2022-02-23
      DOI: 10.3390/asi5020030
      Issue No: Vol. 5, No. 2 (2022)
  • ASI, Vol. 5, Pages 31: Design and Fabrication of Broad-Beam Microstrip
           Antenna Using Parasitic Patches and Cavity-Backed Slot Coupling

    • Authors: Thana Puklibmoung, Worawat Sa-Ngiamvibool
      First page: 31
      Abstract: The adjusting parasitic patch size technique for the broad-beam microstrip antenna array using the cavity-backed slot coupling is presented. The phase of each element of the microstrip array has been designed to emulate the reflection of waves on the surface of parabolic backscattering. In order to increase the efficiency of this array antenna, the back-slot cavity with an exciting probe will be employed for coupling the electromagnetic waves to the back of this array. The proper sizes and locations of patches and the optimized position of the cavity have been investigated by the Computer Science Technology (CST) Microwave Studio. The gain, the radiation pattern, the bandwidth, and the return loss are extensively analyzed. The fabricated antenna has the return loss of −22.39 dB, the bandwidth of 47 MHz (4.975–5.022 GHz), and the maximum directive gain of 5.6 dB at 5 GHz, and it can produce a wide beam width (half-power beam width around 130°). The antenna could be applied for wide applications in the wireless communications system. In particular, this realizing antenna covers the low earth orbit (LEO) satellite beam.
      Citation: Applied System Innovation
      PubDate: 2022-02-24
      DOI: 10.3390/asi5020031
      Issue No: Vol. 5, No. 2 (2022)
  • ASI, Vol. 5, Pages 32: A New TPACK Training Model for Tackling the Ongoing
           Challenges of COVID-19

    • Authors: Ping-Han Cheng, José Molina, Mei-Chun Lin, Hsiang-Hu Liu, Chun-Yen Chang
      First page: 32
      Abstract: This study investigated the effects of integrating the “CloudClassRoom” (CCR) and the DEmo-CO-design/teach-feedback-DEbriefing (DECODE) model to improve pre-service teachers’ online technological pedagogical and content knowledge (TPACK). The DECODE model includes four stages: Teacher’s DEmonstrations, Students CO-train in using CloudClassRoom, Students CO-design a CloudClassRoom-integrated course, Students CO-teach, and finally DE-brief what they have learned through the stages mentioned above. This model integrates teacher-student experiences, teaching-learning processes, and technology-embedded systems to promote collaborative and active learning, information and resources sharing, and creative communication. A self-evaluating questionnaire with open-ended questions evaluated participants’ technological pedagogical and content knowledge outcomes. CloudClassRoom significantly increases technology-related knowledge considering the current social distancing measures provoked by COVID-19. The findings show that DECODE with CloudClassRoom provides an integrated process for improving pre-service teachers’ technological pedagogical and content knowledge, assisting pre-service teachers in designing educational technology-integrated courses.
      Citation: Applied System Innovation
      PubDate: 2022-02-25
      DOI: 10.3390/asi5020032
      Issue No: Vol. 5, No. 2 (2022)
  • ASI, Vol. 5, Pages 33: Implementation of Linear Programming and
           Decision-Making Model for the Improvement of Warehouse Utilization

    • Authors: Shrinath Manoharan, Denise Stilling, Golam Kabir, Sudipa Sarker
      First page: 33
      Abstract: Warehouses are used to store raw materials, finished goods, defective products, tools, machinery, and other company assets until needed. In addition, the warehouse is a staging area for the storage and packaging of products delivered to the customer for consumer industries. Ideally, storage time, storage space, and delivery lead times are minimized by improving warehouse management. This study implements an integration of linear programming (LP) and decision-making models. The LP model provides decision-makers with the optimum quantity of products that can be stored in the warehouse based on different case scenarios considered in this study. Furthermore, the criteria affecting the space utilization of warehouses at total capacity are identified. An integrated approach of rough analytical hierarchical process (AHP) and rough technique for order preference by similarity to ideal solution (TOPSIS) is utilized to determine the best pallet placement on the respective rack. Additionally, this technique identifies the storage racks that require improvements in warehouse space utilization for the products. This methodological approach will help many industries and logistics teams make optimal decisions and improve productivity.
      Citation: Applied System Innovation
      PubDate: 2022-03-02
      DOI: 10.3390/asi5020033
      Issue No: Vol. 5, No. 2 (2022)
  • ASI, Vol. 5, Pages 34: Occupational Risk Assessment of Wind Turbines in

    • Authors: Bijoy Bepary, Golam Kabir
      First page: 34
      Abstract: Wind energy is among the foremost vital renewable energy sources in the world. With the increase in its popularity and use, the requirement for safety measures regarding this type of energy is becoming more prevalent. The development and operation requirements that come with installing and running wind turbines have many risks that need managing and mitigation. This study implemented a risk evaluation method for the transportation, construction, operation, and maintenance of wind turbines, employing the fuzzy method. Fuzzy Analytical Hierarchy Process (FAHP), a multi-criteria higher cognitive process technique, was used to determine the weights of the risk parameters evaluated with the Fine–Kinney method. After that, the Fuzzy Technique for Order Performance by Similarity to Ideal Solution (FTOPSIS) was employed for ranking the hazard’s source. Using Occupational Health and Safety (OHS) consultants, this study was conducted in Bangladesh regarding its onshore turbines. Findings have revealed that the most prevalent hazards during transportation, construction, operation, and maintenance, respectively, are “Driving vehicles at night in dark weather conditions”, “Work in hot and humid conditions”, “Inclement weather”, and “Entering of unauthorized persons”. The results of this study can help the OHS department to track these risks and to control and minimize them.
      Citation: Applied System Innovation
      PubDate: 2022-03-04
      DOI: 10.3390/asi5020034
      Issue No: Vol. 5, No. 2 (2022)
  • ASI, Vol. 5, Pages 35: Technology Behavior Model—Beyond Your Sight
           with Extended Reality in Surgery

    • Authors: Xiaoxue Gong, Poh Soon JosephNg
      First page: 35
      Abstract: Extended Reality Smart Glasses is a new pattern that uses extended reality technology to present a visual environment that combines the physical and virtual worlds. However, the surgical technique using Smart Glasses implementation is still unknown, to the infancy in clinical surgery, derived to the limits of existing technology. This study researched the acceptability and possibility of XRSG for medical experts. It combines human seen behavioral control with information technology research to construct a new “Extended Reality Technology Behavior Model” using method Technology Acceptance Model and Theory of Planned Behavior. To improve the accuracy of the study, statistical analysis, exploratory analysis, and cross-sectional research triangulation were used to collect data in five hospitals in Malaysia using a convenience sampling method and a questionnaire on behavioral influences. From the collected data, PLS-SEM analysis was used to reflect the relationship between variables. The strong positive results suggest that using XRSG by medical experts helps to improve the composition, interactivity, standardization, and clarity of medical images, resulting in increased efficiency and reduced procedure time and felt the usefulness and ease of use of XRSG through their behavior, providing a basis for technology acceptance in surgery.
      Citation: Applied System Innovation
      PubDate: 2022-03-08
      DOI: 10.3390/asi5020035
      Issue No: Vol. 5, No. 2 (2022)
  • ASI, Vol. 5, Pages 36: Optimal Fuel Consumption Modelling, Simulation, and
           Analysis for Hybrid Electric Vehicles

    • Authors: Vu Trieu Minh, Reza Moezzi, Jindrich Cyrus, Jaroslav Hlava
      First page: 36
      Abstract: This paper reviews the latest studies of hybrid electric vehicles (HEVs) on modelling, controls, and energy management. HEV dynamics, formulas, calculations, and schemes of vehicle parts, such as battery, converter, electric motor, generator, and HEV Simulink models, are presented. Moreover, simulations of the propulsion operation, regenerative braking system, and vehicle dynamics are conducted. A comprehensive HEV model is built that is simulated on different driving cycles of Federal Test Procedure 75 (FTP75), New York City Cycle (NYCC), Highway Fuel Economy Test (HWFET), and Extra Urban Driving Cycle (EUDC). Data achieved from these simulations were analysed and tested with several fuel regression models to determine the best fuel regression estimation for HEV fuel consumption on the basis of their weights and tire radiuses. The best fuel regression equation is obtained with a determination coefficient R-squared greater than 99%. Lastly, the optimal model and other HEVs models are simulated on different driving cycles to prove that the fuel consumption of our best-fit regression model is the best.
      Citation: Applied System Innovation
      PubDate: 2022-03-10
      DOI: 10.3390/asi5020036
      Issue No: Vol. 5, No. 2 (2022)
  • ASI, Vol. 5, Pages 37: Provoking Actual Mobile Payment Use in the Middle

    • Authors: Poh Soon JosephNg, Mohamed Musallam Khasib Al-Rawahi, Hooi Cheng Eaw
      First page: 37
      Abstract: Monetary transactions have advanced into a portable, simple, and comfortable process. Regardless of the advantages of a versatile method of disbursement, the global take-up ratio is inadequate. Consequently, greater insight into the factors that influence acceptance by stakeholders is fundamental for industrialists and scholars. This study analyses the goals and real purpose behind portable disbursement by unifying the definition of its concept, which consolidates the “Mobile Technology Acceptance Model” and the “Theory of Planned Behaviour” as well as an updated profound variable that is more synergistic. The new framework incorporated 12 factors influenced by the user’s insight and was analysed by collecting data based on the PLS-SEM condition mix-mode. Identifying the impact of versatile methods of disbursement will shape essential business choices and the community and will change current lifestyles into contactless ones. This article demonstrates the connection between innovative factors and human preferences concerning the use of portable disbursement. Interestingly, we embrace this uniqueness for an incorporated framework that consolidates MTAM as well as the TPB.
      Citation: Applied System Innovation
      PubDate: 2022-03-29
      DOI: 10.3390/asi5020037
      Issue No: Vol. 5, No. 2 (2022)
  • ASI, Vol. 5, Pages 38: Identifying a Systems Thinker: Matching a
           Candidate’s Systems Thinking Abilities with the Job

    • Authors: Anat Nissel Miller, Sigal Kordova, Tal Grinshpoun, Shraga Shoval
      First page: 38
      Abstract: Systems thinking is an evolving field, and there is growing demand to integrate systems thinking into many fields. The goal of the present study was to develop a new tool for identifying systems thinkers. The study was conducted in two stages. The first, a qualitative stage, consisted of interviews, which were followed by a quantitative factor analysis in the second stage. We interviewed industry executives, lecturers at a technological college for practical engineers, and college students in order to identify the needs for systems thinking. We found that interviewees from different disciplines and roles defined some common requirements for systems thinking, but they also specified some different requirements according to their current professional status. The second stage of the study involved 120 participants with varied professional characteristics. The participants attended a five-hour seminar on systems thinking. After learning about systems thinking, participants answered a questionnaire designed to identify systems thinkers. Factor analysis was then used by the researchers to divide the responses to the questionnaire into five factors that represent common characteristic of systems thinking. Analyzing the responses to the questionnaire according to the five factors facilitates identifying the respondents’ knowledge of systems thinking and their ability to use it. Such information is important both for the process of hiring employees and for employee training processes.
      Citation: Applied System Innovation
      PubDate: 2022-03-31
      DOI: 10.3390/asi5020038
      Issue No: Vol. 5, No. 2 (2022)
  • ASI, Vol. 5, Pages 39: A Sustainable Location-Allocation Model for
           Solar-Powered Pest Control to Increase Rice Productivity

    • Authors: Gilang Titah Ramadhan, Wahyudi Sutopo, Muhammad Hisjam
      First page: 39
      Abstract: Insect attacks are a very complicated problem in rice cultivation that cause a decrease in rice productivity. It is very important to not use pesticides to kill pests due to environmental and health issues. This study aimed to solve the pest problem by installing solar-powered pest-control technology using waves of ultraviolet light and ultrasonic sound (UVUS, the name of the product). The development of UVUS involved not only innovation from startups but also the adaption of existing technologies such as batteries, solar panels, and sensors. A location-allocation model has been developed in accordance with a flower pollination algorithm (FPA) and sustainability considerations to solve the problem of rice productivity using the innovative technology of solar-powered pest control. The mixed-integer linear programming (MILP) approach was used to determine the number of UVUS required to minimize the areas missed by the ultraviolet light and ultrasonic sound. Numerical analysis of a case study of Delanggu Village showed that the model can be used to determine the number of UVUS required to only miss a certain minimal area. The results show that the proposed model can be applied to solve pest control and can provide promising economical, social, and environmental outcomes.
      Citation: Applied System Innovation
      PubDate: 2022-03-31
      DOI: 10.3390/asi5020039
      Issue No: Vol. 5, No. 2 (2022)
  • ASI, Vol. 5, Pages 40: Meta-Heuristic Model for Optimization of Production
           Layouts Based on Occupational Risk Assessment: Application to the
           Portuguese Wine Sector

    • Authors: António Agrela Freitas, Tânia Miranda Lima, Pedro Dinis Gaspar
      First page: 40
      Abstract: A factory layout is a decisive factor in the improvement of production levels, efficiency, and even in the sustainability of a company. Regardless of the type of layout to be implemented, they are typically designed to optimize the work conditions and provide high performance, reducing production losses. The wine sector encompasses a wide diversity of possible configurations of production layouts, from one-level designs with separate infrastructures in several buildings or centralized single facilities, or even subdivided into different levels or floors. The general purpose is to maximize energy efficiency and process performance while minimizing costs. Thus, an optimization model based on the organization of productive layouts is proposed, using a methodology based on a genetic algorithm. The obtained results reveal that the optimization model for winery layouts was successfully applied, providing feasible solutions to improve the production processes’ efficiency combined with the minimization of general and ergonomic risks.
      Citation: Applied System Innovation
      PubDate: 2022-03-31
      DOI: 10.3390/asi5020040
      Issue No: Vol. 5, No. 2 (2022)
  • ASI, Vol. 5, Pages 41: Sustainability Assessment on an Urban Scale:
           Context, Challenges, and Most Relevant Indicators

    • Authors: Maryam Salati, Luis Bragança, Ricardo Mateus
      First page: 41
      Abstract: The concept and practice of sustainability in urban planning have gained worldwide significance since the early 2000s and have become increasingly mainstream in the policymaking process. Adopting global frameworks, such as the United Nations Sustainable Development Goals and ISO standards, for sustainable communities provides an opportunity to build more sustainable, innovative, and equitable towns and cities, with regard to natural resources and biodiversity. However, attaining sustainability requires addressing many fundamental issues at various levels, and achieving the goals and objectives of sustainability poses a significant challenge for all segments of society. Several methods for assessing the sustainability of the urban environment have been established in recent years. Therefore, compiling a short and comprehensive list of indicators addressing the broad concept of urban sustainability issues has arisen as a significant challenge. This research reviews four urban sustainability assessment tools—BREEAM-C, LEED-ND, iiSBE SBToolPT Urban, and iiSBE SNTool—to identify a clear set of key sustainability priorities. This study aims to highlight a more consistent list of indicators that are considered the most significant aspects and priorities within the analysed sustainability methods, allowing for a common understanding of the most important principles that must be considered in the design of sustainable urban areas and are compatible with the most recent standardization and sustainability targets. The end product of this study includes a proposal for a set of sustainability indicators to assess environmental, social, and economic issues to implement in the design of sustainable urban environments, independent of the local context.
      Citation: Applied System Innovation
      PubDate: 2022-04-07
      DOI: 10.3390/asi5020041
      Issue No: Vol. 5, No. 2 (2022)
  • ASI, Vol. 5, Pages 42: Operation Analysis of Cultural Heritage Service
           Ecosystems: Empirical Study Based on Dihua Street and Guansi Shihdianzih
           Old Street in Taiwan

    • Authors: Shih-Ling Kuo, Chun-Liang Chen
      First page: 42
      Abstract: For urban development worldwide, the revitalisation of cultural heritage and historical buildings is regarded as a strategy for creating jobs, increasing residents’ access to local culture, improving their quality of life, and developing the urban economy. The key factor in the revitalisation of cultural heritage and historical buildings is a strategy for developing the urban economy. Through an exploratory study, this paper examined how the cultural service ecosystems of Dihua Street and Guansi Shihdianzih Old Street are created and operated and how actors develop cultural service ecosystems. By presenting a common value proposition, actors can benefit from interactions through an exchange of services, provide cultural services, develop cultural value, and implement full resource integration and value co-creation, thus promoting the cultural brand communication of historical blocks and the sustainability of cultural services. This study further extended the original functions of cultural heritage and analysed the operation of cultural service ecosystems for cultural heritage. The findings of this study revealed that the organisational operational effectiveness of revitalisation and cultural innovation activities in historic districts provided an innovative approach for sustainable development and the economic revival of historical blocks, which can be used as a reference for the sustainability of local culture and economy. In this perspective, this article provides some useful suggestions for stakeholders and policymakers.
      Citation: Applied System Innovation
      PubDate: 2022-04-13
      DOI: 10.3390/asi5020042
      Issue No: Vol. 5, No. 2 (2022)
  • ASI, Vol. 5, Pages 43: Credibility Analysis of User-Designed Content Using
           Machine Learning Techniques

    • Authors: Milind Gayakwad, Suhas Patil, Amol Kadam, Shashank Joshi, Ketan Kotecha, Rahul Joshi, Sharnil Pandya, Sudhanshu Gonge, Suresh Rathod, Kalyani Kadam, Maya Shelke
      First page: 43
      Abstract: Content is a user-designed form of information, for example, observation, perception, or review. This type of information is more relevant to users, as they can relate it to their experience. The research problem is to identify the credibility and the percentage of credibility as well. Assessment of such content is important to convey the right understanding of the information. Different techniques are used for content analysis, such as voting the content, Machine Learning Techniques, and manual assessment to evaluate the content and the quality of information. In this research article, content analysis is performed by collecting the Movie Review dataset from Kaggle. Features are extracted and the most relevant features are shortlisted for experimentation. The effect of these features is analyzed by using base regression algorithms, such as Linear Regression, Lasso Regression, Ridge Regression, and Decision Tree. The contribution of the research is designing a heterogeneous ensemble regression algorithm for content credibility score assessment, which combines the above baseline methods. Moreover, these factors are also toned down to obtain the values closer to Gradient Descent minimum. Different forms of Error Loss, such as Mean Absolute Error, Mean Squared Error, LogCosh, Huber, and Jacobian, and the performance is optimized by introducing the balancing bias. The accuracy of the algorithm is compared with induvial regression algorithms and ensemble regression separately; this accuracy is 96.29%.
      Citation: Applied System Innovation
      PubDate: 2022-04-14
      DOI: 10.3390/asi5020043
      Issue No: Vol. 5, No. 2 (2022)
  • ASI, Vol. 5, Pages 8: A New Integrated Multi-Criteria Decision-Making
           Model for Resilient Supplier Selection

    • Authors: Wan Yee Leong, Kuan Yew Wong, Wai Peng Wong
      First page: 8
      Abstract: Unexpected worldwide disruptions brought various challenges to supply chain management thus manipulating the research direction towards resilience. Since the supplier is one of the important supply chain elements, the challenges can be overcome through resilient supplier selection. Supplier selection is a multi-criteria decision-making problem where several criteria are involved. In this study, GRA-BWM-TOPSIS was proposed to evaluate resilient suppliers. Seven resilience criteria which were Quality, Lead Time, Cost, Flexibility, Visibility, Responsiveness and Financial Stability have been proposed and five experts were selected to provide judgments for the selection process. By using the proposed method, the criteria importance levels were obtained using GRA and the criteria weights were computed using BWM, together with a consistency test. TOPSIS was applied to evaluate the suppliers’ performances. Through a case study in a food manufacturing company, 10 suppliers were evaluated and ranked. A validation process was carried out and the managerial implications were provided to ensure the effectiveness of the proposed model. GRA-BWM-TOPSIS is suitable for resilient supplier selection when there are uncertainties and incomplete data.
      Citation: Applied System Innovation
      PubDate: 2022-01-04
      DOI: 10.3390/asi5010008
      Issue No: Vol. 5, No. 1 (2022)
  • ASI, Vol. 5, Pages 9: Offensive-Language Detection on Multi-Semantic
           Fusion Based on Data Augmentation

    • Authors: Junjie Liu, Yong Yang, Xiaochao Fan, Ge Ren, Liang Yang, Qian Ning
      First page: 9
      Abstract: The rapid identification of offensive language in social media is of great significance for preventing viral spread and reducing the spread of malicious information, such as cyberbullying and content related to self-harm. In existing research, the public datasets of offensive language are small; the label quality is uneven; and the performance of the pre-trained models is not satisfactory. To overcome these problems, we proposed a multi-semantic fusion model based on data augmentation (MSF). Data augmentation was carried out by back translation so that it reduced the impact of too-small datasets on performance. At the same time, we used a novel fusion mechanism that combines word-level semantic features and n-grams character features. The experimental results on the two datasets showed that the model proposed in this study can effectively extract the semantic information of offensive language and achieve state-of-the-art performance on both datasets.
      Citation: Applied System Innovation
      PubDate: 2022-01-04
      DOI: 10.3390/asi5010009
      Issue No: Vol. 5, No. 1 (2022)
  • ASI, Vol. 5, Pages 10: Model to Program and Blockchain Approaches for
           Business Processes and Workflows in Finance

    • Authors: Meriem Kherbouche, Galena Pisoni, Bálint Molnár
      First page: 10
      Abstract: Business process modeling and verification have become an essential way to control and assure organizational evolution. We overview the opportunities for the application of blockchain in Business Process Management and Modeling in Finance and we focus on in-depth analysis of claim process in insurance as a use case. We investigate the utilization of blockchain technology for model checking of Workflow, Business Processes to ensure consistency, integrity, and security in a dynamically changing business environment. We create a UML profile for the blockchain, then we combine it with a UML activity diagram followed by a verification using Petri nets to guarantee a distributed computing system and scalable with mutable data. Our paper creates a unified picture of the approaches towards business processes modeling used in the financial industry organized around the set of premises intending to develop a future research agenda for blockchain business process modeling, specifically for the financial industry domain.
      Citation: Applied System Innovation
      PubDate: 2022-01-04
      DOI: 10.3390/asi5010010
      Issue No: Vol. 5, No. 1 (2022)
  • ASI, Vol. 5, Pages 11: Visual SLAM Based Spatial Recognition and
           Visualization Method for Mobile AR Systems

    • Authors: Jooeun Song, Joongjin Kook
      First page: 11
      Abstract: The simultaneous localization and mapping (SLAM) market is growing rapidly with advances in Machine Learning, Drones, and Augmented Reality (AR) technologies. However, due to the absence of an open source-based SLAM library for developing AR content, most SLAM researchers are required to conduct their own research and development to customize SLAM. In this paper, we propose an open source-based Mobile Markerless AR System by building our own pipeline based on Visual SLAM. To implement the Mobile AR System of this paper, we use ORB-SLAM3 and Unity Engine and experiment with running our system in a real environment and confirming it in the Unity Engine’s Mobile Viewer. Through this experimentation, we can verify that the Unity Engine and the SLAM System are tightly integrated and communicate smoothly. In addition, we expect to accelerate the growth of SLAM technology through this research.
      Citation: Applied System Innovation
      PubDate: 2022-01-05
      DOI: 10.3390/asi5010011
      Issue No: Vol. 5, No. 1 (2022)
  • ASI, Vol. 5, Pages 12: Impacts of COVID-19 on Electric Vehicle Charging
           Behavior: Data Analytics, Visualization, and Clustering

    • Authors: Sakib Shahriar, A. R. Al-Ali
      First page: 12
      Abstract: COVID-19 pandemic has infected millions and led to a catastrophic loss of lives globally. It has also significantly disrupted the movement of people, businesses, and industries. Additionally, electric vehicle (EV) users have faced challenges in charging their vehicles in public charging locations where there is a risk of COVID-19 exposure. However, a case study of EV charging behavior and its impacts during the SARS-CoV-2 is not addressed in the existing literature. This paper investigates the impacts of COVID-19 on EV charging behavior by analyzing the charging activity during the pandemic using a dataset from a public charging facility in the USA. Data visualization of charging behavior alongside significant timelines of the pandemic was utilized for analysis. Moreover, a cluster analysis using k-means, hierarchical clustering, and Gaussian mixture models was performed to identify common groups of charging behavior based on the vehicle arrival and departure times. Although the number of vehicles using the charging station was reduced significantly due to lockdown restrictions, the charging activity started to pick up again since May 2021 due to an increase in vaccination and easing of public restrictions. However, the charging activity currently still remains around half of the activity pre-pandemic. A noticeable decline in charging session length and an increase in energy consumption can be observed as well. Clustering algorithms identified three groups of charging behavior during the pandemic and their analysis and performance comparison using internal validation measures were also presented.
      Citation: Applied System Innovation
      PubDate: 2022-01-07
      DOI: 10.3390/asi5010012
      Issue No: Vol. 5, No. 1 (2022)
  • ASI, Vol. 5, Pages 13: A Novel Machine Learning Approach for Sentiment
           Analysis on Twitter Incorporating the Universal Language Model Fine-Tuning
           and SVM

    • Authors: Barakat AlBadani, Ronghua Shi, Jian Dong
      First page: 13
      Abstract: Twitter sentiment detectors (TSDs) provide a better solution to evaluate the quality of service and product than other traditional technologies. The classification accuracy and detection performance of TSDs, which are extremely reliant on the performance of the classification techniques, are used, and the quality of input features is provided. However, the time required is a big problem for the existing machine learning methods, which leads to a challenge for all enterprises that aim to transform their businesses to be processed by automated workflows. Deep learning techniques have been utilized in several real-world applications in different fields such as sentiment analysis. Deep learning approaches use different algorithms to obtain information from raw data such as texts or tweets and represent them in certain types of models. These models are used to infer information about new datasets that have not been modeled yet. We present a new effective method of sentiment analysis using deep learning architectures by combining the “universal language model fine-tuning” (ULMFiT) with support vector machine (SVM) to increase the detection efficiency and accuracy. The method introduces a new deep learning approach for Twitter sentiment analysis to detect the attitudes of people toward certain products based on their comments. The extensive results on three datasets illustrate that our model achieves the state-of-the-art results over all datasets. For example, the accuracy performance is 99.78% when it is applied on the Twitter US Airlines dataset.
      Citation: Applied System Innovation
      PubDate: 2022-01-14
      DOI: 10.3390/asi5010013
      Issue No: Vol. 5, No. 1 (2022)
  • ASI, Vol. 5, Pages 14: Estimating Weibull Parameters Using
           Mabchour’s Method (MMab) for Wind Power at RAWA City, Iraq

    • Authors: Amani I. Altmimi, Safaa J. Al-Swaiedi, Oday Ibraheem Abdullah
      First page: 14
      Abstract: Wind power is one of the most important sources of renewable energy. In this research paper, we developed an approach to select the optimum site among four different locations in Iraq (Talafar, Nasiriyah, Baghdad and RAWA) according to wind power density. Based on the optimization process, it was found that the RAWA city is the optimal site. We adopted Mabchour’s Method (MMab) to estimate the Weibull distribution parameters (c, k) for RAWA city at two heights (10 m and 50 m) for the period (2017–2019). It was found that the Mabchour technique (MMab) produced accurate results with minimum consumed time and effort. This was because the values of k and c were close to each other. Additionally, the coefficient values of the results of the Weibull measurements were very close to the average wind speeds that we measured. The values of the correlation coefficients between the Weibull scale parameters and the form were calculated and were equal to R2 = 0.9971. The minimum value of the coefficient of variation (COV) for turbulence intensity was found to be 26% in July 2018, when the wind speeds reached their maximum. The highest error of wind power density between measured data (PM) and Weibull distribution (PW) was found to be 4.48%, at a height of 50 m.
      Citation: Applied System Innovation
      PubDate: 2022-01-22
      DOI: 10.3390/asi5010014
      Issue No: Vol. 5, No. 1 (2022)
  • ASI, Vol. 5, Pages 15: Exploring the Innovation Diffusion of Big Data

    • Authors: Shuo-Chang Tsai, Chih-Hsien Chen
      First page: 15
      Abstract: The main objective of this study was to explore the current practical use of an AI robo-advisor algorithmic technique. This study utilizes Roger’s innovation diffusion theory as a basis to explore the application of robo-advisors for forecasting in the stock market by using an abductive reasoning approach. We used literature reviews and semi-structured interviews to interview representatives of fund companies to see if they had adopted AI big data forecasting models to invest in stock selection. This study summarizes the big data stock market forecasts of the literature. According to the summary, the accuracy of the prediction models of these scholars ranged from 52% to 97%, with the prediction results of the models varying significantly. Interviews with 21 representatives of these fund companies revealed that the stock market forecast model of big data robo-advisors have not become a reference basis for fund investment candidates, mainly because of the unstable model prediction rate, and the lack of apparent relative advantages and observability, as well as being too complex. Thus, from the view of innovation diffusion, there is a lack of diffusion for the robo-advisor. Knowledge occurs when an individual is exposed to the existence of innovation, and gains some understanding of how it functions. Thereby, when investors become more familiar with neural network-like stock prediction models, this novel AI stock market forecasting model is expected to become another indicator of technical analysis in the future.
      Citation: Applied System Innovation
      PubDate: 2022-01-24
      DOI: 10.3390/asi5010015
      Issue No: Vol. 5, No. 1 (2022)
  • ASI, Vol. 5, Pages 16: The Service Innovation Factor in Painting Creation
           Enterprises from the Service-Dominant Logic Perspective

    • Authors: Szu-Yao Lin
      First page: 16
      Abstract: This paper describes a study of the elements of service innovation for artistic painting creation enterprises from the service-dominant logic point of view. This research mainly aimed to (1) explore how to integrate the concepts of service innovation for companies (service provider) providing painting as their service in their business model, and (2) to explore that how consumers (service receiver) can evaluate their experience value as well as achieve value co-creation through the service process under the service innovation model. Here, a multiple case-detailed CEO-interview-based methodology was used with four corporate companies that provide artistic painting creation services. The findings showed that, as painting is the core content of the service, the process not only meets the emotional needs of consumers through its operations, but also develops innovations in the business model to solve social issues. This research applies the viewpoint of art in the service science field and combines creative and innovative thinking with business operations. The outcome has practical implications for enhancing the social value of business structures and enabling value co-creation under the development of creative industries. In conclusion, the popularity and accessibility of using painting as a service reinforces painting creation to develop internal expression channels that can be used as service innovation for the development of businesses in the creative industries.
      Citation: Applied System Innovation
      PubDate: 2022-01-24
      DOI: 10.3390/asi5010016
      Issue No: Vol. 5, No. 1 (2022)
  • ASI, Vol. 5, Pages 17: Acknowledgment to Reviewers of ASI in 2021

    • Authors: ASI Editorial Office ASI Editorial Office
      First page: 17
      Abstract: Rigorous peer-reviews are the basis of high-quality academic publishing [...]
      Citation: Applied System Innovation
      PubDate: 2022-01-25
      DOI: 10.3390/asi5010017
      Issue No: Vol. 5, No. 1 (2022)
  • ASI, Vol. 5, Pages 18: Smart Energy Management System: Design of a
           Monitoring and Peak Load Forecasting System for an Experimental Open-Pit

    • Authors: Oussama Laayati, Mostafa Bouzi, Ahmed Chebak
      First page: 18
      Abstract: Digitization in the mining industry and machine learning applications have improved the production by showing insights in different components. Energy consumption is one of the key components to improve the industry’s performance in a smart way that requires a very low investment. This study represents a new hardware, software, and data processing infrastructure for open-pit mines to overcome the energy 4.0 transition and digital transformation. The main goal of this infrastructure is adding an artificial intelligence layer to energy use in an experimental open-pit mine and giving insights on energy consumption and electrical grid quality. The achievement of these goals will ease the decision-making stage for maintenance and energy managers according to ISO 50001 standards. In order to minimize the energy consumption, which impact directly the profit and the efficiency of the industry, a design of a monitoring and peak load forecasting system was proposed and tested on the experimental open-pit mine of Benguerir. The main challenges of the application were the monitoring of typical loads machines per stage, feeding the supervisors by real time energy data on the same process SCADA view, parallel integrating hardware solutions to the same process control system, proposing a fast forest quantile regression algorithm to predict the energy demand response based on the data of different historical scenarios, finding correlations between the KPIs of energy consumption, mine production process and giving global insights on the electrical grid quality.
      Citation: Applied System Innovation
      PubDate: 2022-01-30
      DOI: 10.3390/asi5010018
      Issue No: Vol. 5, No. 1 (2022)
  • ASI, Vol. 5, Pages 19: Performance Assessment and Modeling of Routing
           Protocol in Vehicular Ad Hoc Networks Using Statistical Design of
           Experiments Methodology: A Comprehensive Study

    • Authors: Souad Ajjaj, Souad El Houssaini, Mustapha Hain, Mohammed-Alamine El Houssaini
      First page: 19
      Abstract: The performance assessment of routing protocols in vehicular ad hoc networks (VANETs) plays a critical role in testing the efficiency of the routing algorithms before deployment in real conditions. This research introduces the statistical design of experiments (DOE) methodology as an innovative alternative to the one factor at a time (OFAT) approach for the assessment and the modeling of VANET routing protocol performance. In this paper, three design of experiments methods are applied, namely the two-level full factorial method, the Plackett–Burman method and the Taguchi method, and their outcomes are comprehensively compared. The present work considers a case study involving four factors namely: node density, number of connections, black hole and worm hole attacks. Their effects on four measured outputs called responses are simultaneously evaluated: throughput, packet loss ratio, average end-to-end delay and routing overhead of the AODV routing protocol. Further, regression models using the least squares method are generated. First, we compare the main effects of factors resulted from the three DOE methods. Second, we perform analysis of variance (ANOVA) to explore the statistical significance and compare the percentage contributions of each factor. Third, the goodness of fit of regression models is assessed using the adjusted R-squared measure and the fitting plots of measured versus predicted responses. VANET simulations are implemented using the network simulator (NS-3) and the simulator of urban mobility (SUMO). The findings reveal that the design of experiments methodology offers powerful mathematical, graphical and statistical techniques for analyzing and modeling the performance of VANET routing protocols with high accuracy and low costs. The three methods give equivalent results in terms of the main effect and ANOVA analysis. Nonetheless, the Taguchi models show higher predictive accuracy.
      Citation: Applied System Innovation
      PubDate: 2022-02-02
      DOI: 10.3390/asi5010019
      Issue No: Vol. 5, No. 1 (2022)
  • ASI, Vol. 5, Pages 20: A System View to the Risks of COVID-19 Vaccination

    • Authors: Shahryar Sorooshian, Afshin Abbaspour, Ali Jahan
      First page: 20
      Abstract: The global vaccination program provides hope for ending the present worldwide pandemic. Due to the current pandemic, COVID-19 vaccines must be delivered and administered to communities once supplies are available. However, there are significant challenges in the sourcing, allocation, distribution, and uptake of vaccinations. A successful vaccination program would necessitate adequate risk management across the vaccination supply chain. This article has collected the predictable risks of the COVID-19 vaccines considered within the vaccine delivery system framework. The risks are presented based on relevant literature. Hence, this work’s framework is expected to contribute to better risk management of vaccination programs and similar future projects.
      Citation: Applied System Innovation
      PubDate: 2022-02-02
      DOI: 10.3390/asi5010020
      Issue No: Vol. 5, No. 1 (2022)
  • ASI, Vol. 5, Pages 21: Performance Efficiency Measurement Model
           Development of a Technology Transfer Office (TTO) to Accelerate Technology
           Commercialization in Universities

    • Authors: Wahyudi Sutopo, Nida An Khofiyah, Muhammad Hisjam, Azanizawati Ma’aram
      First page: 21
      Abstract: The purpose of this research is to develop a model for measuring the efficiency of the TTO incubation process performance to accelerate the commercialization of research results in universities. The method of analyzing the efficiency used in this research is the Data Envelopment Analysis (DEA) method based on Banker, Charnes, and Cooper (BCC), which is output-oriented. The software used in analyzing the efficiency of TTO performance is MaxDEA 8. The output of this research is a mathematical model tool for measuring the efficiency of TTO performance by DEA, which considered 17 parameters and proposed recommendations for TTO performance strategies. The limitation of this research is the object of research in one university that has succeeded in the commercialization of research. This research implies that the performance efficiency measurement model is an alternative predictive way to increase the acceleration of commercialization. The practical implications of this research are that it can evaluate performance or inefficient strategies in the incubation process of higher education research results to the Technology Transfer Office (TTO). This research also provides recommendations on strengthening the TTO function that can be used as a reference for improving performance at universities. This research measures the level of performance evaluation of TTO in the incubation process, which refers to the Death Valley framework. This incubation process is the main process accelerating the commercialization of research results in universities.
      Citation: Applied System Innovation
      PubDate: 2022-02-03
      DOI: 10.3390/asi5010021
      Issue No: Vol. 5, No. 1 (2022)
  • ASI, Vol. 5, Pages 22: Systems and Industries in Response to COVID-19
           Crisis: Closing Remarks

    • Authors: Shahryar Sorooshian
      First page: 22
      Abstract: Many industries and systems have faced consequences as a result of the COVID-19 outbreak. In this time, we are happy to had the publication of a Special Issue of Applied System Innovation titled “Systems and Industries in Response to the COVID-19 Crisis”. This editorial article contains the special issue’s closing remarks. However, while the scope of this given special issue grabbed the interest of practitioners and scholars, there is still much to be learned from COVID-19’s experience. Thus, suggestions for future special issues are included with this letter.
      Citation: Applied System Innovation
      PubDate: 2022-02-07
      DOI: 10.3390/asi5010022
      Issue No: Vol. 5, No. 1 (2022)
  • ASI, Vol. 5, Pages 23: Big Data for Traffic Estimation and Prediction: A
           Survey of Data and Tools

    • Authors: Weiwei Jiang, Jiayun Luo
      First page: 23
      Abstract: Big data have been used widely in many areas, including the transportation industry. Using various data sources, traffic states can be well estimated and further predicted to improve the overall operation efficiency. Combined with this trend, this study presents an up-to-date survey of open data and big data tools used for traffic estimation and prediction. Different data types are categorized, and off-the-shelf tools are introduced. To further promote the use of big data for traffic estimation and prediction tasks, challenges and future directions are given for future studies.
      Citation: Applied System Innovation
      PubDate: 2022-02-11
      DOI: 10.3390/asi5010023
      Issue No: Vol. 5, No. 1 (2022)
  • ASI, Vol. 5, Pages 24: Design for Adaptability (DfA)—Frameworks and
           Assessment Models for Enhanced Circularity in Buildings

    • Authors: Rand Askar, Luís Bragança, Helena Gervásio
      First page: 24
      Abstract: A growing interest has been expressed in the issue of building adaptability over the past decade, perceiving it as an intrinsic criterion for sustainability. In light of the circular economy (CE) and its application in the construction sector, more attention has been paid to buildings’ design for adaptability (DfA) towards the realization of circular buildings. DfA is considered a key enabler for other circular design strategies such as design for disassembly (DfD), multi-functionality, spatial transformability, and design reversibility. However, implementation and assessment frameworks, and design-support tools for the circular building, are still in development as the characterization of circular buildings continues with endeavors to draw a defined shape by identifying the prerequisites for circularity where the design takes an important place. For the sake of objectifying the role of DfA in circularity frameworks in buildings, this paper carries out an analytical review and discussion on two types of assessment and design-support frameworks; the first addresses adaptability criteria and considerations in assessment frameworks that handle the concept individually while the second classifies existing circularity assessment endeavors into four main categories under which multiple tools are reviewed. A reflection on the scope and objectives for both types is later performed, illustrating the state of adaptability evaluation and criteria as well as its role in circularity frameworks. Results show that the concept of building adaptability lacks quantitative methods that quantify a building’s capacity to adapt as well as empirical data that prioritize the most valuable criteria facilitating adaptations. Moreover, many circularity assessment frameworks fail to consider adaptability criteria at all hierarchal levels of a building composition. To address this shortcoming, a series of conceptual considerations and requirements is proposed towards a potential establishment of an inclusive framework of a circularity design-support tool in buildings. The study is concluded by identifying gaps and recommendations for further developments in the field.
      Citation: Applied System Innovation
      PubDate: 2022-02-15
      DOI: 10.3390/asi5010024
      Issue No: Vol. 5, No. 1 (2022)
  • ASI, Vol. 5, Pages 25: Exploring the Health Information Management System
           of Kuwait: Lessons and Opportunities

    • Authors: Maha Alnashmi, Ahmad Salman, Hanadi AlHumaidi, Maha Yunis, Naser Al-Enezi
      First page: 25
      Abstract: After studying the professional practices related to the management of medical records in Kuwaiti hospitals, it became utterly evident that there is inadequate understanding about maintaining the health information of patients. This dire situation is further compounded by the absence of official regulations established by the Ministry of Health for hospitals to effectively assess and manage medical records. Through this study, the researchers aimed to assess the medical records system in multiple healthcare settings in Kuwait, comprising government, private, and oil sectors. The study was carried out from May 2019 to July 2020 and used a self-developed, pilot-tested questionnaire measuring various aspects of the medical records management system. A total of 98 participants responded to the survey. The study results revealed that 43% of hospitals were using paper-based medical records, as compared to 53% that used both paper-based and electronic media. Moreover, 40% of hospitals in Kuwait did not adhere to the Ministry of Health policies regarding medical records disposition; instead, they developed their own hospital-based disposition policy. Moreover, the study findings showed that there were clear discrepancies in record retention policies among the participating hospitals, and the duration of record retention varied from 2 years, 5 years, 10 years, and more than 20 years across hospitals in Kuwait. In conclusion, national policies and guidelines need to be established to monitor the medical record systems in Kuwaiti hospitals to further enable better patient care and improve healthcare facilities. Furthermore, it has become indispensable to develop and maintain electronic health records as they constitute an integral part of modern healthcare.
      Citation: Applied System Innovation
      PubDate: 2022-02-15
      DOI: 10.3390/asi5010025
      Issue No: Vol. 5, No. 1 (2022)
  • ASI, Vol. 5, Pages 26: Factors Influencing Intention of Greek Consumers to
           Use Smart Home Technology

    • Authors: Panayotis Pliatsikas, Anastasios A. Economides
      First page: 26
      Abstract: New technologies’ advances offer innovative automations to people’s daily lives. More and more devices are continuously connected to the internet allowing people to control them remotely. The smart home is such a technological development. However, it is uncertain whether and to what extent the average consumer will accept smart home technology. The purpose of this study is to investigate the factors that affect the intention of Greek consumers to use smart home technology. The results of this study show that Greek consumers are beginning to have a positive attitude towards smart home technology. Important factors that contribute to their intention to use smart home technology include their perceived usefulness, compatibility, and ease of use of smart home technology. On the contrary, they do not think that they are influenced by their social environment regarding their intention to use smart home technology. Finally, they think that the major benefits of using smart home technology include the health monitoring, home security, and cost savings.
      Citation: Applied System Innovation
      PubDate: 2022-02-16
      DOI: 10.3390/asi5010026
      Issue No: Vol. 5, No. 1 (2022)
  • ASI, Vol. 5, Pages 27: State of Industry 5.0—Analysis and
           Identification of Current Research Trends

    • Authors: Aditya Akundi, Daniel Euresti, Sergio Luna, Wilma Ankobiah, Amit Lopes, Immanuel Edinbarough
      First page: 27
      Abstract: The term Industry 4.0, coined to be the fourth industrial revolution, refers to a higher level of automation for operational productivity and efficiency by connecting virtual and physical worlds in an industry. With Industry 4.0 being unable to address and meet increased drive of personalization, the term Industry 5.0 was coined for addressing personalized manufacturing and empowering humans in manufacturing processes. The onset of the term Industry 5.0 is observed to have various views of how it is defined and what constitutes the reconciliation between humans and machines. This serves as the motivation of this paper in identifying and analyzing the various themes and research trends of what Industry 5.0 is using text mining tools and techniques. Toward this, the abstracts of 196 published papers based on the keyword “Industry 5.0” search in IEEE, science direct and MDPI data bases were extracted. Data cleaning and preprocessing were performed for further analysis to apply text mining techniques of key terms extraction and frequency analysis. Further topic mining i.e., unsupervised machine learning method was used for exploring the data. It is observed that the terms artificial intelligence (AI), big data, supply chain, digital transformation, machine learning, internet of things (IoT), are among the most often used and among several enablers that have been identified by researchers to drive Industry 5.0. Five major themes of Industry 5.0 addressing, supply chain evaluation and optimization, enterprise innovation and digitization, smart and sustainable manufacturing, transformation driven by IoT, AI, and Big Data, and Human-machine connectivity were classified among the published literature, highlighting the research themes that can be further explored. It is observed that the theme of Industry 5.0 as a gateway towards human machine connectivity and co-existence is gaining more interest among the research community in the recent years.
      Citation: Applied System Innovation
      PubDate: 2022-02-17
      DOI: 10.3390/asi5010027
      Issue No: Vol. 5, No. 1 (2022)
  • ASI, Vol. 5, Pages 28: Taiwan Stock Tape Reading Periodically Using Web
           Scraping Technology with GUI

    • Authors: Chun-Feng Lin, Sheng-Chih Yang
      First page: 28
      Abstract: Stock tape reading involves surveilling stock prices once in a while and recording stock prices. The method of observing stock prices may be television or stock exchange. The time step for recoding stock prices is every stock user’s experience and their theory, perhaps 3 min or 2 h and so on. As an example, the Taiwan stock market starts at 9:00 a.m. to 13:30 p.m. It will have a 4 h operating time. Splitting the 4 h operating time for tape reading is the skill of stock users. The stock price sequence generated by tape reading can be predicted by stock users, but finally, it is the stock user’s experience. Therefore, the meaning of tape reading is to record the stock price, but its concept should have no prediction purpose. This study used thread technology and proposed a tape-reading method with web scraping. This method can periodically scrape stock prices and generate a stock price sequence to Excel file. This application can satisfy the demand of these stock users, who are called day trading users. Because these day trading users want to gain stock price sequences minute by minute, rather than the stock exchange format day by day, and also ones which are better than the those provided by the stock website service, because its stock sequence format is limited and not normalized, these day trading users think that minute-by-minute stock price sequences are very clear to forecast. This study implemented the prior scheme and designed the GUI to query a company’s stock price and its stock news, even per second, etc., and how long it took to update the stock price, and the GUI also included a time-up feature to stop scraping stock prices if users just wanted to scrape stock prices periodically.
      Citation: Applied System Innovation
      PubDate: 2022-02-18
      DOI: 10.3390/asi5010028
      Issue No: Vol. 5, No. 1 (2022)
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
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