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ENGINEERING (1326 journals)                  1 2 3 4 5 6 7 | Last

Showing 1 - 200 of 1205 Journals sorted alphabetically
3 Biotech     Open Access   (Followers: 8)
3D Research     Hybrid Journal   (Followers: 21)
AAPG Bulletin     Hybrid Journal   (Followers: 8)
AASRI Procedia     Open Access   (Followers: 15)
Abstract and Applied Analysis     Open Access   (Followers: 3)
Aceh International Journal of Science and Technology     Open Access   (Followers: 7)
ACS Nano     Hybrid Journal   (Followers: 316)
Acta Geotechnica     Hybrid Journal   (Followers: 7)
Acta Metallurgica Sinica (English Letters)     Hybrid Journal   (Followers: 7)
Acta Polytechnica : Journal of Advanced Engineering     Open Access   (Followers: 3)
Acta Scientiarum. Technology     Open Access   (Followers: 3)
Acta Universitatis Cibiniensis. Technical Series     Open Access  
Active and Passive Electronic Components     Open Access   (Followers: 7)
Adaptive Behavior     Hybrid Journal   (Followers: 10)
Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi     Open Access  
Adsorption     Hybrid Journal   (Followers: 4)
Advanced Engineering Forum     Full-text available via subscription   (Followers: 9)
Advanced Journal of Graduate Research     Open Access  
Advanced Nonlinear Studies     Hybrid Journal  
Advanced Science     Open Access   (Followers: 6)
Advanced Science Focus     Free   (Followers: 5)
Advanced Science Letters     Full-text available via subscription   (Followers: 11)
Advanced Science, Engineering and Medicine     Partially Free   (Followers: 7)
Advanced Synthesis & Catalysis     Hybrid Journal   (Followers: 17)
Advances in Calculus of Variations     Hybrid Journal   (Followers: 6)
Advances in Catalysis     Full-text available via subscription   (Followers: 5)
Advances in Complex Systems     Hybrid Journal   (Followers: 10)
Advances in Engineering Software     Hybrid Journal   (Followers: 28)
Advances in Fuel Cells     Full-text available via subscription   (Followers: 16)
Advances in Fuzzy Systems     Open Access   (Followers: 5)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 14)
Advances in Heat Transfer     Full-text available via subscription   (Followers: 24)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 23)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 8)
Advances in Natural Sciences: Nanoscience and Nanotechnology     Open Access   (Followers: 29)
Advances in Nonlinear Analysis     Hybrid Journal  
Advances in Operations Research     Open Access   (Followers: 12)
Advances in OptoElectronics     Open Access   (Followers: 6)
Advances in Physics Theories and Applications     Open Access   (Followers: 16)
Advances in Polymer Science     Hybrid Journal   (Followers: 45)
Advances in Porous Media     Full-text available via subscription   (Followers: 5)
Advances in Remote Sensing     Open Access   (Followers: 51)
Advances in Science and Research (ASR)     Open Access   (Followers: 6)
Aerobiologia     Hybrid Journal   (Followers: 3)
African Journal of Science, Technology, Innovation and Development     Hybrid Journal   (Followers: 6)
AIChE Journal     Hybrid Journal   (Followers: 35)
Ain Shams Engineering Journal     Open Access   (Followers: 5)
Akademik Platform Mühendislik ve Fen Bilimleri Dergisi     Open Access   (Followers: 1)
Al-Nahrain Journal for Engineering Sciences     Open Access  
Alexandria Engineering Journal     Open Access   (Followers: 1)
AMB Express     Open Access   (Followers: 1)
American Journal of Applied Sciences     Open Access   (Followers: 27)
American Journal of Engineering and Applied Sciences     Open Access   (Followers: 10)
American Journal of Engineering Education     Open Access   (Followers: 12)
American Journal of Environmental Engineering     Open Access   (Followers: 16)
American Journal of Industrial and Business Management     Open Access   (Followers: 25)
Anadolu University Journal of Science and Technology A : Applied Sciences and Engineering     Open Access  
Annals of Combinatorics     Hybrid Journal   (Followers: 4)
Annals of Pure and Applied Logic     Open Access   (Followers: 3)
Annals of Regional Science     Hybrid Journal   (Followers: 8)
Annals of Science     Hybrid Journal   (Followers: 7)
Antarctic Science     Hybrid Journal   (Followers: 1)
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 2)
Applicable Analysis: An International Journal     Hybrid Journal   (Followers: 1)
Applied Catalysis A: General     Hybrid Journal   (Followers: 7)
Applied Catalysis B: Environmental     Hybrid Journal   (Followers: 20)
Applied Clay Science     Hybrid Journal   (Followers: 6)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 14)
Applied Magnetic Resonance     Hybrid Journal   (Followers: 4)
Applied Nanoscience     Open Access   (Followers: 8)
Applied Network Science     Open Access   (Followers: 3)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 5)
Applied Physics Research     Open Access   (Followers: 6)
Applied Sciences     Open Access   (Followers: 4)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 7)
Arab Journal of Basic and Applied Sciences     Open Access  
Arabian Journal for Science and Engineering     Hybrid Journal   (Followers: 5)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 6)
Archives of Foundry Engineering     Open Access  
Archives of Thermodynamics     Open Access   (Followers: 9)
Arid Zone Journal of Engineering, Technology and Environment     Open Access   (Followers: 2)
Arkiv för Matematik     Hybrid Journal   (Followers: 2)
ASEE Prism     Full-text available via subscription   (Followers: 3)
Asia-Pacific Journal of Science and Technology     Open Access  
Asian Engineering Review     Open Access  
Asian Journal of Applied Science and Engineering     Open Access   (Followers: 2)
Asian Journal of Applied Sciences     Open Access   (Followers: 2)
Asian Journal of Biotechnology     Open Access   (Followers: 9)
Asian Journal of Control     Hybrid Journal  
Asian Journal of Technology Innovation     Hybrid Journal   (Followers: 8)
Assembly Automation     Hybrid Journal   (Followers: 2)
at - Automatisierungstechnik     Hybrid Journal   (Followers: 1)
ATZagenda     Hybrid Journal  
ATZextra worldwide     Hybrid Journal  
AURUM : Mühendislik Sistemleri ve Mimarlık Dergisi = Aurum Journal of Engineering Systems and Architecture     Open Access  
Australasian Physical & Engineering Sciences in Medicine     Hybrid Journal   (Followers: 1)
Australian Journal of Multi-Disciplinary Engineering     Full-text available via subscription   (Followers: 2)
Automotive Experiences     Open Access  
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 8)
Avances en Ciencias e Ingeniería     Open Access  
Balkan Region Conference on Engineering and Business Education     Open Access   (Followers: 1)
Bangladesh Journal of Scientific and Industrial Research     Open Access  
Basin Research     Hybrid Journal   (Followers: 5)
Batteries     Open Access   (Followers: 6)
Bautechnik     Hybrid Journal   (Followers: 2)
Bell Labs Technical Journal     Hybrid Journal   (Followers: 28)
Beni-Suef University Journal of Basic and Applied Sciences     Open Access   (Followers: 4)
BER : Manufacturing Survey : Full Survey     Full-text available via subscription   (Followers: 1)
BER : Motor Trade Survey     Full-text available via subscription  
BER : Retail Sector Survey     Full-text available via subscription   (Followers: 1)
BER : Retail Survey : Full Survey     Full-text available via subscription   (Followers: 1)
BER : Survey of Business Conditions in Manufacturing : An Executive Summary     Full-text available via subscription   (Followers: 3)
BER : Survey of Business Conditions in Retail : An Executive Summary     Full-text available via subscription   (Followers: 3)
Beyond : Undergraduate Research Journal     Open Access  
Bhakti Persada : Jurnal Aplikasi IPTEKS     Open Access  
Bharatiya Vaigyanik evam Audyogik Anusandhan Patrika (BVAAP)     Open Access   (Followers: 1)
Bilge International Journal of Science and Technology Research     Open Access  
Biofuels Engineering     Open Access   (Followers: 1)
Biointerphases     Open Access   (Followers: 1)
Biomaterials Science     Full-text available via subscription   (Followers: 12)
Biomedical Engineering     Hybrid Journal   (Followers: 16)
Biomedical Engineering     Hybrid Journal   (Followers: 2)
Biomedical Engineering and Computational Biology     Open Access   (Followers: 13)
Biomedical Engineering Letters     Hybrid Journal   (Followers: 5)
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 19)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 35)
Biomedical Engineering: Applications, Basis and Communications     Hybrid Journal   (Followers: 5)
Biomedical Microdevices     Hybrid Journal   (Followers: 8)
Biomedical Science and Engineering     Open Access   (Followers: 4)
Biomicrofluidics     Open Access   (Followers: 5)
BioNanoMaterials     Open Access   (Followers: 2)
Biotechnology Progress     Hybrid Journal   (Followers: 40)
Bitlis Eren University Journal of Science and Technology     Open Access  
Black Sea Journal of Engineering and Science     Open Access  
Boletin Cientifico Tecnico INIMET     Open Access  
Botswana Journal of Technology     Full-text available via subscription   (Followers: 1)
Boundary Value Problems     Open Access   (Followers: 1)
Brazilian Journal of Science and Technology     Open Access   (Followers: 2)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 12)
Bulletin of Canadian Petroleum Geology     Full-text available via subscription   (Followers: 13)
Bulletin of Engineering Geology and the Environment     Hybrid Journal   (Followers: 14)
Bulletin of the Crimean Astrophysical Observatory     Hybrid Journal  
Cahiers Droit, Sciences & Technologies     Open Access  
Calphad     Hybrid Journal   (Followers: 2)
Canadian Geotechnical Journal     Hybrid Journal   (Followers: 32)
Canadian Journal of Remote Sensing     Full-text available via subscription   (Followers: 44)
Carbon Resources Conversion     Open Access   (Followers: 1)
Case Studies in Engineering Failure Analysis     Open Access   (Followers: 6)
Case Studies in Thermal Engineering     Open Access   (Followers: 6)
Catalysis Communications     Hybrid Journal   (Followers: 6)
Catalysis Letters     Hybrid Journal   (Followers: 2)
Catalysis Reviews: Science and Engineering     Hybrid Journal   (Followers: 8)
Catalysis Science and Technology     Hybrid Journal   (Followers: 9)
Catalysis Surveys from Asia     Hybrid Journal   (Followers: 3)
Catalysis Today     Hybrid Journal   (Followers: 7)
CEAS Space Journal     Hybrid Journal   (Followers: 2)
Cellular and Molecular Neurobiology     Hybrid Journal   (Followers: 3)
Central European Journal of Engineering     Hybrid Journal  
Chaos : An Interdisciplinary Journal of Nonlinear Science     Hybrid Journal   (Followers: 3)
Chaos, Solitons & Fractals     Hybrid Journal   (Followers: 3)
Chinese Journal of Catalysis     Full-text available via subscription   (Followers: 2)
Chinese Journal of Engineering     Open Access   (Followers: 2)
Chinese Science Bulletin     Open Access   (Followers: 1)
Ciencia e Ingenieria Neogranadina     Open Access  
Ciencia en su PC     Open Access   (Followers: 1)
Ciencia y Tecnología     Open Access  
Ciencias Holguin     Open Access   (Followers: 3)
CienciaUAT     Open Access   (Followers: 1)
Cientifica     Open Access  
CIRP Annals - Manufacturing Technology     Full-text available via subscription   (Followers: 11)
CIRP Journal of Manufacturing Science and Technology     Full-text available via subscription   (Followers: 13)
City, Culture and Society     Hybrid Journal   (Followers: 23)
Clean Air Journal     Full-text available via subscription   (Followers: 1)
Clinical Science     Hybrid Journal   (Followers: 8)
Coal Science and Technology     Full-text available via subscription   (Followers: 3)
Coastal Engineering     Hybrid Journal   (Followers: 11)
Coastal Engineering Journal     Hybrid Journal   (Followers: 6)
Coatings     Open Access   (Followers: 4)
Cogent Engineering     Open Access   (Followers: 3)
Cognitive Computation     Hybrid Journal   (Followers: 4)
Color Research & Application     Hybrid Journal   (Followers: 3)
COMBINATORICA     Hybrid Journal  
Combustion Theory and Modelling     Hybrid Journal   (Followers: 14)
Combustion, Explosion, and Shock Waves     Hybrid Journal   (Followers: 15)
Communications Engineer     Hybrid Journal   (Followers: 1)
Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering     Open Access  
Communications in Information Science and Management Engineering     Open Access   (Followers: 4)
Communications in Numerical Methods in Engineering     Hybrid Journal   (Followers: 2)
Components, Packaging and Manufacturing Technology, IEEE Transactions on     Hybrid Journal   (Followers: 29)
Composite Interfaces     Hybrid Journal   (Followers: 7)
Composite Structures     Hybrid Journal   (Followers: 293)
Composites Part A : Applied Science and Manufacturing     Hybrid Journal   (Followers: 229)
Composites Part B : Engineering     Hybrid Journal   (Followers: 271)
Composites Science and Technology     Hybrid Journal   (Followers: 204)
Comptes Rendus Mécanique     Full-text available via subscription   (Followers: 2)
Computation     Open Access   (Followers: 1)
Computational Geosciences     Hybrid Journal   (Followers: 17)
Computational Optimization and Applications     Hybrid Journal   (Followers: 8)
Computational Science and Discovery     Full-text available via subscription   (Followers: 2)
Computer Applications in Engineering Education     Hybrid Journal   (Followers: 8)

        1 2 3 4 5 6 7 | Last

Journal Cover
American Journal of Engineering and Applied Sciences
Number of Followers: 10  

  This is an Open Access Journal Open Access journal
ISSN (Print) 1941-7020 - ISSN (Online) 1941-7039
Published by Science Publications Homepage  [31 journals]
  • Dynamic Control Allocation through Kalman Filtering

    • Abstract: Control Allocation (CA) in aviation is the problem of distributing the commands among the available actuation means, in order to ensure the achievements of the moments requested by the flight control laws. CA plays a key role in fault-tolerant control systems since it gives robust performances and stability also in presence of faults to one or more aircraft actuators. In this study, a new algorithm is proposed for Control Allocation under both static and dynamic constraints. The proposed algorithm aims at overcoming the most common limitations of the existing algorithms, most of which do not account for actuator dynamics (i.e. they compute a control command that might not be compatible with aircraft performance limitations) and rely on iterative methods. The proposed approach does not need an iterative procedure because it rearranges the CA as a state observer problem in which observer states are the actual commands to actuators and observer measurements are the requested moments by the flight control laws. The observer is implemented through a Kalman Filter (KF), with the actuator dynamics as process model and the algebraic relationships between moments and commands as measurement model. The effectiveness of the proposed CA strategy has been shown through a numerical analysis. The numerical simulations showed that the control commands computed by Control Allocation algorithms guarantee moments that match the ones requested by the attitude control laws. This has been verified in nominal conditions (i.e. no actuator faults) but also in faulty ones, where one or more actuators are subject to malfunctioning and, furthermore, in simulations scenarios in which aggressive maneuvers led to the saturation of one or more control surfaces.
  • Examination of Preservation, Maintenance and Prevention from Corrosion in
           Water Cylinders

    • Abstract: Reduction of water constructions and installations problems, improvement of construction life, provision, transference, distribution, purification and reservation of water are of the most important matters in urban culture due to the importance of drinkable water supply for cities and villages of the country, considering the increase of need in consumption of water supply. One of the basic troubles of industries and consumers in the whole country is the maintenance of water infrastructure and constructions which cost a fortune to construct and utilize. Through the stage of utilization, preservation of the facility is very important. Through this presentation, we take a look at the subject of corrosion in Water cylinders made of metal, concrete or mixed materials considering past experience. Corrosion is mostly due to an unsuitable environment. Such soluble compounds as sulfur, hydrogen, carbon dioxide etc. in the water accelerates the process of corrosion greatly.
  • Blockchain: Methods, Applications and Technology Progress

    • Abstract: Blockchain is gaining great attentions in various applications. Blockchain is a shared ledger concept which is highly secure due to the nature of its construction. It is immutable, needs a consensus to add a block to the chain, is held secure by a hash function and is visible to all participants within the blockchain. The methods, impacts and benefits of blockchain are introduced. The applications and the technology progress of the blockchain technology are presented, which include applications and progress in Internet of Things (IoT) and cloud, medical applications and healthcare, supply chain security and management in identity, resources, ownership, mobility and keys for heterogeneous vehicular network.
  • Evaluation of the Impact of Obstacles on the Capacity of a LTE Network in
           Urban Area in the Uplink

    • Abstract: Power control is a major issue in the deployment of 4G mobile networks. Indeed, environmental constraints (relief, Air, noise,...) affect the propagation channels of mobile network systems. The new multimedia services, which consume large amounts of radio resources (frequencies), then lead to an optimization of power control in the cellular coverage in the uplink direction. The aim is to optimize the capacity of radio resources in the cellular coverage based on a COST-231 Walfisch-Ikegami semi-empirical propagation model for power control in the upward direction. It is a question of studying the signal quality between a mobile station and the base station under the constraint of obstacles (Buildings) in order to evaluate the effect of propagation losses on the transmission power in Uplink using different frequencies of the network. Results show that the transmission power is strongly influenced by the path losses that depend on the carrier frequency. Higher the transmission frequency, the less the wave propagates due to propagation and penetration losses due to different barriers.
  • Design and Testing of Screw Turbines for Flat Flow with Uneven Blade

    • Abstract: It is an innovative thing to design turbines that are compatible with flat-flow water energy. The turbine that was chosen is a turbine screw model with a non-uniform blade slope. The turbine made with a stator consists of a collector pipe and a quick pipe as a nozzle and a screw-shaped rotor with varying blade spacing. The results of the design are two screw parallel with each consisting of five blades which are installed at 45°, 55°, 65°, 75° and 80° angles. The research methodology used is experimental through theoretical design and practical testing. Tests are carried out in uniform blade angles and compared with combination blade angles. The test results show that the turbine with a combination blade angle has a rotational speed lower than the maximum rotational speed (i.e., at 60° blade angle) but has better rotational stability against load changes. Turbines still have good efficiency even though the rotating speed drops to 60% due to loading.
  • Efficient Pose Tracking based on Line Segment Matching

    • Abstract: Pose tracking is a crucial issue for many applications such as robotic tasks and facility operations. Vision-based approaches with non-contact properties are appropriate choices for these tasks. However, vision-based approaches are not sufficiently robust and fast. In this work, we propose a vision-based pose tracking to deal with these problems. We estimate poses using Lie group and Lie algebra representation theory. Such operation is performed in a linearized space, therefore it is convenient for pose estimation. To provide reliable visual information for our pose estimation, we detect line segments. Our detection of line segment depends on semi-global image information. We describe all line segments and match those detected in consecutive frames. Our line segment detector and matching descriptor are good at discarding ambiguous line segments and finding real ones in noisy situations. The integration of group theory and line segment detection and matching plays an important role for developing a robust vision-based pose tracking system. Our system proves to be efficient and robust.
  • Identification of Cancer: Mesothelioma’s Disease Using Logistic
           Regression and Association Rule

    • Abstract: Malignant Pleural Mesothelioma (MPM) or malignant mesothelioma (MM) is an atypical, aggressive tumor that matures into cancer in the pleura, a stratum of tissue bordering the lungs. Diagnosis of MPM is difficult and it accounts for about seventy-five percent of all mesothelioma diagnosed yearly in the United States of America. Being a fatal disease, early identification of MPM is crucial for patient survival. Our study implements logistic regression and develops association rules to identify early stage symptoms of MM. We retrieved medical reports generated by Dicle University and implemented logistic regression to measure the model accuracy. We conducted (a) logistic correlation, (b) Omnibus test and (c) Hosmer and Lemeshow test for model evaluation. Moreover, we also developed association rules by confidence, rule support, lift, condition support and deployability. Categorical logistic regression increases the training accuracy from 72.30% to 81.40% with a testing accuracy of 63.46%. The study also shows the top 5 symptoms that is mostly likely indicates the presence in MM. This study concludes that using predictive modeling can enhance primary presentation and diagnosis of MM.
  • Evaluating Patient Readmission Risk: A Predictive Analytics Approach

    • Abstract: With the emergence of the Hospital Readmission Reduction Program of the Center for Medicare and Medicaid Services on October 1, 2012, forecasting unplanned patient readmission risk became crucial to the healthcare domain. There are tangible works in the literature emphasizing on developing readmission risk prediction models; However, the models are not accurate enough to be deployed in an actual clinical setting. Our study considers patient readmission risk as the objective for optimization and develops a useful risk prediction model to address unplanned readmissions. Furthermore, Genetic Algorithm and Greedy Ensemble is used to optimize the developed model constraints.
  • Synthesis and Characterization of Bio-based Polyurethane Polymers

    • Abstract: This paper describes the development of new biobased Polyurethanes (PU) starting from swine manure bio-resin and diisocyanates. The bio-resin is produced from swine manure via a hydrothermal process. For sustainability, today, many PUs in new specialized applications, are biobased. In this study, different commercial diisocyanates including MDI, Desmodur W, Desmodur H and Demodur I and swine manure, which is an agricultural waste were used to make the biobased PUs. The reactions were performed at refluxing THF, or in neat form at temperatures that ranged from room temperature to 100°C. Dibutyltin dilaurate was used as catalyst for the polymerization. Composites were characterized by FTIR, GPC, ICP and Rheometry. GPC confirmed the increase in the size of the molecules consistent with the increase in the viscosity and complex modulus of the reaction mixtures as a function of reaction time. One composite reached to elastic modulus of 10 MP at the end of the reaction process, which was marked by depletion of isocyanates peak in the IR. Progress of the polymerization reaction was monitored by the disappearance of the isocyanate band in the IR at ~2274 cm-1. By monitoring the FTIR spectra of the reaction mixtures while increasing MDI dosage in a step-wise manner, the number of the molar equivalents of the functional groups active towards isocyanate (including OH, H2S, NH2 and COOH) in the bioresin was also determined.
  • About the Triton Structure

    • Abstract: To better understand the structure of matter, it is not enough to study atoms and molecules. For living matter it is necessary to study the cell, including the mitochondrial and for matter in general, it is necessary to determine the elemental elements of the atom and further those of the nucleus, how the nucleons bind to each other, forming virtually new atomic structures if they have electrons, or new ionic structures if they suffer a lack of electrons. The present study aims to explain how the three nucleons bind to a tritium nucleus (nucleus called triton), thus forming the core of the third hydrogen isotope, a positive ion, containing two neutrons and a proton, a single particle positively charged and two neutral charged nuclear particles. For this tritium independent nucleus, called triton, the main dimensions will be determined by calculating its radius R, which is not a constant dimension but a dynamic one, changing its magnitude in function to the velocity of the moving triton particle.
  • Some New Gears Aspects

    • Abstract: In today's mechanical transmissions most widely used, the gears, are spread across all industries. For this reason, their importance has become overwhelming, which is why we want to recall in this paper some important aspects regarding toothed wheels. It is the geometry, cinematic, the forces and the yields of these mechanisms, which will be presented in the work in the form of newly synthesized relations on modern bases. Another important aspect in toothed wheels is their synthesis by modern methods that avoid tooth interference during operation. To avoid the interference between teeth, we must know the minimum number of teeth of the driving wheel, in function of the pressure angle (normal on the pitch circle, alpha0), in function of the tooth inclination angle (beta) and in function of the transmission ratio (i). In optimal and high-efficiency gearing, gears require a modern design with increased coverage. These achievements can only be achieved today in the context of lowering the value of the alpha engagement angle. Through all the aspects presented, which relate to the dynamics of gears, the work can be considered among those of the optimal dynamic synthesis of the gears.
  • Dynamic Models of Rigid Memory Mechanisms

    • Abstract: Rigid memory mechanisms have played an important role in the history of mankind, contributing greatly to the industrial, economic, social changes in society, thus leading to a real evolution of mankind. Used in automated tissue wars, in cars as distribution mechanisms, automated machines, mechanical transmissions, robots and mechatronics, precision devices and medical devices, these mechanisms have been real support for mankind along the time. For this reason, I considered useful this paper, which presents some dynamic models that played an essential role in designing rigid memory mechanisms.
  • Contributions to the Stirling Engine Study

    • Abstract: In the process of transforming thermal energy into mechanical work, among the known thermal machines, the Stirling engine is the one that can achieve the highest yield (theoretically up to the maximum yield of the Carnot cycle), although in practice it is reduced by the properties of gas and materials used such as friction coefficient, thermal conductivity, melting point, breaking strength, plastic deformation, etc. This type of engine can operate on the basis of a heat source irrespective of its quality, whether it is solar, chemical, nuclear, biological, etc. Unlike internal combustion engines, the Stirling engines can be economical, quieter, safer and less maintenance-free. They are preferred in specific applications where these advantages are reaped, especially if the main objective is not to minimize investment costs per unit of power (RON/kW) but to those per unit of energy (RON/kWh). Compared to internal combustion engines of a given power, the Stirling engines require higher capital expenditure, are larger and heavier, for which reason, viewed from this point of view, this technology is uncompetitive. For some applications, however, a sound analysis of the earnings-to-revenue ratio may favor Stirling engines versus internal combustion engines. More recently, Stirling's benefits have become visible compared to rising energy costs, lack of energy resources and environmental issues such as climate change. Increasing interest in Stirling engine technology has spurred research and development in this area lately. Uses a range of water pumping to astronautics and power generation based on rich sources of energy incompatible with internal combustion engines such as solar energy, or plant and animal scraps. In this respect, the four-stroke four-stroke engine type Stirling is the most advantageous, being driven continuously from the piston. For this reason, it has a stranger load feature, which is said to be inappropriate for car use (the more crankshaft driven crankshaft, although having less mechanical efficiency, have a much longer stable and respond quickly to changes in the working regimes required by a vehicle, especially due to the large inertial help of the shaft, plus the steering wheel, which are more "nerve-wise" and therefore more dynamic). This can, however, be easily corrected in Stirling engines by using multiple cylinders simultaneously, trapped on the same shaft (multi-cylinder Stirling), the shaft having a high inertia, which can be further enhanced by -a wheel. Even though the cylinders work most of the time in motor regimes, they are permanently connected to the output shaft which must have a very high inertia in construction, the movement at the output of the motor being picked from the shaft.
  • Automatic Identification of Molecules in a Thin-Film Extract Combined with

    • Abstract: This paper presents the automation of the thin-layer chromatography technique whose separation and identification of molecules present in a mixture are currently done manually and laboriously. We have therefore found an interest in automating this technique. In this part, the method implemented comprises 2 steps. First we proceeded to the segmentation of the spots obtained on the chromatographic plate. We then developed a program to identify families of molecules such as coumarins, terpenes, tannins, flavonoids, polyphenols, etc. by calculating segmentation parameters such as standard deviation, entropy, mean pixel intensity and frontal ratio from an algorithm on the matlab software. Finally our results have been compared to the results obtained by the traditional identification technique in laboratories. Some similarity between the two results obtained shows the reliability and the robustness of our technique.
  • Influence of Bitumen Addition on Sabkha Soil Shear Strength
           Characteristics under Dry and Soaked Conditions

    • Abstract: High salt content in sabkha soils means they are significantly affected by changes in water content. Dissolution of salts within sabkha soil mass decreases their shear strength upon inundation with water, resulting from the destruction of cementation bonds between soil particles. Therefore, successful improvement for these soils must be based on reducing the dissolution of sabkha salts to minimize their unfavorable properties. This paper investigated the effect of bitumen addition as a stabilizing waterproofing agent on the shear strength properties of sabkha soil. 0%, 4%, 8% and 10% bitumen and sabkha soil were mixed thoroughly. The experimental program on the bitumen-mixed sabkha soils included physical and chemical soil characterization, modified compaction tests and direct shear strength tests. The results showed that bitumen addition modified the physical properties by up to 8%. Under dry conditions, the ultimate shear strength and the horizontal shear displacement increased with bitumen addition. Under soaked conditions, the improvement in shear strength properties was pronounced. The shear strength parameters for the natural sabkha soil fell upon soaking, while the bitumen-mixed sabkha soil samples maintained their integrity. The adsorbed bitumen layer on the cemented soil lumps acted as a waterproofing agent that reduced salt dissolution and alternatively, the shear strength.
  • Chilled Water VAV System Optimization and Modeling Using Artificial Neural

    • Abstract: in 2016, It was estimated that about 40% of total U.S. energy consumption was consumed by the residential and commercial sectors. According to EIA, in 2009, the energy consumption in U.S. homes was 48% which was down from 58% in 1993 Residential Energy Consumption Survey (RECS). The development of building energy savings methods and models becomes apparently more necessary for a sustainable future. The cooling coil is an essential component of HVAC systems. The accurate prediction of a cooling coil performance is important in many energy solution applications. This paper discusses the modeling methodologies of a chilled water cooling system using artificial neural networks. The objective of this research paper is to properly develop the model to predict the cooling coil performance accurately. This study utilized data from an existing building located in North Carolina, USA. Data such as chilled water supply temperature, airflow rate, mixture and supply air temperatures and humidity ratios, etc., are collected over the course of three months for developing and testing the model. Multiple neural network structures are tested along with multiple input and output delays to determine the one yielding the optimal results. Moreover, an optimization technique is developed to select premier model that can predict results accurately validated by the actual data. The observations from this research validates the use of artificial neural network model as an accurate tool for predicting the performance of a chilled water air handling unit.
  • Conversion of a Conventional Vehicle into a Battery-Super Capacitor Hybrid

    • Abstract: The use of a super capacitor pack parallel with a battery pack in electric vehicles can have effects on the battery life as well as on the driving range of the vehicle. In this research a conventional IC engine vehicle was converted into a motor driven electric vehicle. The converted vehicle was tested on a drive cycle defined to match urban pattern. To extend the range of the converted vehicle, a novel battery-super capacitor system had been proposed with a novel algorithm to determine when to charge and discharge batteries and super capacitors, according to the driving conditions such as acceleration and deceleration. Software simulations were performed taking the Urban Dynamometer Drive Schedule (UDDS) as the test drive cycle. Simulations results of the proposed system and the conventional battery electric vehicle system were compared to claim the performance of the proposed algorithm. The novel system is capable of reducing the strain on the batteries while extending the range of the vehicle compared to the conventional battery electric vehicle.
  • Real-Time Data Capture Model for Accelerated Payment of Small-Scale

    • Abstract: Most developing countries especially in Africa face a number of challenges in the area of food security. These challenges include proliferation, theft, poor inventory system, poor transport and communication network. Zambia is one of the countries with these challenges and has been losing millions of dollars each year due to various challenges in managing the inventory system. In this paper, we are proposing a model for the inventory system based on Quick Response (QR) and cloud computing for real-time capture of grain bags brought in by farmers at the satellite depot. The government supplies farming input to local farmers and buys the grain back from the farmers. This study is looking at part of the buying process which requires the movement of grain from the local farmer to the government. The grain forms part of the national food storage reserve. The proposed system first requires tagging the grain bags then capture the details of the farmer and attach to the grain bags. Our proposed model based on cloud technologies is integrated with the mobile application used to read the QR code attached to the grain bags. These details are then linked to the details of the farmer in the database. These captured data regarding the farmer and grain bags supplied at the satellite depot are made available to the decision makers in real-time. Out results show that the proposed model will helps to address a number of challenges that the current system has been facing. These include accelerated process of paying the local farmers supplying grain to the government which used to take months. It will also help to give the grain stock statistics in real time per region and the country at large. This model will be very useful for most developing countries in managing their grain.
  • Healthcare Driven by Big Data Analytics

    • Abstract: Text messages and social network posts are often included in big data and are frequently invaluable sources of health data. When machine learning or data mining is used, it is important to perform an automatic process for integrating all available and related health data. Artificial Neural Network (ANN) is one of the machine learning methods flexible in using algorithms to detect complicated nonlinear relationships within huge datasets. Pharmacokinetics uses genetics to individualize drug therapy. Because genetic and pharmacological analysis often require large scale computation, Big Data analytics has shown potential in this area. Personal data from various sensors can often be used for making health and treatment recommendations, taking appropriate action for a patient’s lifestyle choices and early diagnosis vital to advancing quality of care. Big data techniques such as hadoop and spark have been used in various areas of healthcare and big data analytics has been employed in great datasets to expose hidden patterns or correlations for effective decision-making. Challenges of big data in healthcare, concerned with gathering material from multifaceted heterogonous patient sources still exist, although hadoop has been employed as the processing unit for heterogeneous data gathered from various body sensors. The most critical necessity in a healthcare big data system is the data security; however, users are continuously applying big data–driven strategies to solve the various problems and challenges.
  • Geometric-Cinematic Synthesis of Planetary Mechanisms

    • Abstract: The simple planetary mechanism is geometrically synthesized by determining the four tooth numbers of the component wheels. There are four main conditions that if not obeyed the mechanism will be blocked, will work with interruptions, or will not work at all. (a) The first condition in the geometric-kinematic synthesis of a simple planetary is the uniform loading of satellites (satellite groups) (or the simultaneous engagement condition). (b) The coaxiality condition is the second one to be observed, otherwise, the mechanism is inoperative. (c) The condition for achieving a required input-output transmission ratio is the third major condition, which results from the necessity of conceiving the mechanism according to the required operation. (d) The fourth imposed condition is that of (good) neighboring (of the satellite groups), which is necessary for the larger satellites belonging to two groups of neighboring satellites not to be touched, which is why it is necessary to introduce the additional condition, neighborhood.
  • Modeling, Simulation and Optimization of Steel Sandwich Panels under Blast

    • Abstract: Honeycomb sandwich panels are commonly preferred in structural engineering as a design element meant to protect against blast loading, and this owes primarily to the fact that they are light in weight (due to the voids present) whilst carrying high energy absorption capacities. A widespread surge in acts of terrorism, and the resultant threat posed to structures, presents structural engineers with unique challenges pertaining to the design of blast-resistant structures that are both safe and reliable. Researchers worldwide have thus taken to closely studying the effects of sudden loads effected by detonative forces on certain elements and design concepts. To this end, an emergent design concept with proven efficacy is the honeycomb sandwich panel. Due to the practical difficulties associated with the study of explosive materials and replicating blast loads, software-based modeling and simulation may be favorable as a functional and convenient alternative. To this end, this work uses the finite element package ABAQUS® to study the behavior of hexagonal and squared honeycomb steel sandwich panels under the explosive effects of different amounts of trinitrotoluene (TNT). The results of finite element modeling of a specific honeycomb configuration are initially validated by comparing them with the experimental results from literature. Several configurations including different geometrical properties of the honeycomb wall are then investigated and the results are compared. Consequently, an optimization study is conducted with an objective to reduce the plastic strain of the back plate while the wall cell thickness is taken as a variable. Finally, the effectiveness of the core shape and wall thickness is discussed and conclusions are made.
  • Numerical Study on Coupling Beam Retrofitted Using CFRP and GFRP Sheets

    • Abstract: One of the most useful way to resist against earthquake is using coupling beam of steel shear walls. The steel shear wall’s behavior depends on several factors such as stiffness, ductility, strength and so on. But, it has the shear cracks in coupling beam. In this paper, the effect of Carbon Reinforced Fiber Polymer (CFRP) on coupling beams has been evaluated to find out the improvement in ductility, stiffness and its strength. In order to do this research, the commercial edition of ABAQUS software is used. The results show that, using CFRP sheets can improve the load capacity of coupling beams.
  • Investigating the Behavior of Steel Composite Shear Wall with Corrugated
           Plate under Lateral Load

    • Abstract: The steel shear wall system has been considered as a structural system over the past few decades. This issue deals with wind and earthquake lateral forces due to its hardness, loading capacity and plasticity. This type of the system, with the use of external hardness resulting from the geometric shape of the waves, has better buckling strength than a hardened and smooth mood. In this paper, at first, the experimental test is validated with ABAQUS software which simple rectangular steel plate was used in the shear wall so that both cyclic and monotonic loading conditions have been compared Since then the concrete shear wall behavior has been evaluated using sinusoidal steel plates with different variables such as concrete compressive strength 25 and 35 MPa thickness of corrugated plate including 0.8 and 1 mm and wave height 25 and 50 mm are considered as variables. The interaction between concrete and steel is applied using Tie and the base of the wall is fixed. Moreover, the sample is loaded in accordance with the ATC24 instruction with a displacement of 85 mm using displacement/rotation by activating U1 direction as lateral load. Generally, eight different models have been evaluated and the pushover graphs are compared based on thickness and concrete strength. The results show that increasing the thickness, the wave height and the compressive strength of the concrete leads to increased resistance and ductility.
  • A Survey on Recent Applications of Machine Learning with Big Data in
           Additive Manufacturing Industry

    • Abstract: Additive Manufacturing (AM) which is also known as 3D printing technology; is recognized as a new paradigm for manufacturing industry. Additive manufacturing is rapidly expanding across different sectors such as healthcare, electronics, automotive, science and engineering, education, dental, etc. Machine Learning and Big Data are both emerging technologies which are becoming popular and gaining more attention from the industries and academic. Machine Learning is a growing field of Artificial Intelligence (AI) that allows systems to learn from data, identify patterns and make decisions with very little human involvement. On the other hand, Big Data is referred to as datasets whose size is more than the capacity of what a conventional database software tools can capture, store, manage and analyze. Lately, Machine Learning techniques and Big Data Analytics are being applied to various applications of additive manufacturing to monitor building process and enhance decisions making using data generated through different sensors or cameras. This paper explores recent applications of Machine Learning with Big Data in the field of additive manufacturing, for instance, application of machine learning in detecting defect or anomaly during build process in additive manufacturing/3D printing machine.
  • Modeling of Reinforced Concrete Frames with Infill Walls Under Cyclic
           Loading Strengthening with CFRP

    • Abstract: Nowadays, using infill isolators in Reinforced Concrete (RC) structures is very common. In earlier research this infill isolators are usually considered as non-structural elements, but in recent researches it was demonstrated that infill has considerable effects on natural period, stiffness, strength and overall behavior of structure specially when it is subjected to seismic ground motions. In this study a one-bay two-story masonry infilled RC frame is considered for a laboratory sample and various layouts of Carbon Fiber Reinforced Polymer (CFRP) layers have been used to retrofit and strengthen of masonry infill wall. These specimens have been modeled in ABAQUS and analyzed under cyclic loading with Finite Element Method (FEM). FEM analysis have been carried out using ABAQUS/Explicit software and analysis type have been chosen dynamic explicit. Finally, results of Finite Element Analysis have been compared against the experimental results. The effect of different CFRP configurations of retrofitting on ductility, ultimate lateral load capacity, stiffness and energy dissipation capacity of specimens have been discussed. Thereupon the best configuration has been proposed in terms of cost effectiveness and ductility. The results showed that in the frame with infill wall comparing with bare frame, load capacity increased about 277.35% and by comparing infilled frame with or without CFRP, it can be concluded that using CFRP can increase lateral load capacity of masonry infilled RC frames.
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Tel: +00 44 (0)131 4513762
Fax: +00 44 (0)131 4513327
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