for Journals by Title or ISSN
for Articles by Keywords
  Subjects -> COMPUTER SCIENCE (Total: 2050 journals)
    - ANIMATION AND SIMULATION (30 journals)
    - AUTOMATION AND ROBOTICS (100 journals)
    - COMPUTER ARCHITECTURE (9 journals)
    - COMPUTER ENGINEERING (10 journals)
    - COMPUTER GAMES (16 journals)
    - COMPUTER PROGRAMMING (27 journals)
    - COMPUTER SCIENCE (1196 journals)
    - COMPUTER SECURITY (46 journals)
    - DATA BASE MANAGEMENT (14 journals)
    - DATA MINING (32 journals)
    - E-BUSINESS (22 journals)
    - E-LEARNING (28 journals)
    - IMAGE AND VIDEO PROCESSING (39 journals)
    - INFORMATION SYSTEMS (109 journals)
    - INTERNET (94 journals)
    - SOCIAL WEB (51 journals)
    - SOFTWARE (34 journals)
    - THEORY OF COMPUTING (8 journals)

COMPUTER SCIENCE (1196 journals)                  1 2 3 4 5 6 | Last

Showing 1 - 200 of 872 Journals sorted alphabetically
3D Printing and Additive Manufacturing     Full-text available via subscription   (Followers: 20)
Abakós     Open Access   (Followers: 4)
ACM Computing Surveys     Hybrid Journal   (Followers: 22)
ACM Journal on Computing and Cultural Heritage     Hybrid Journal   (Followers: 8)
ACM Journal on Emerging Technologies in Computing Systems     Hybrid Journal   (Followers: 11)
ACM Transactions on Accessible Computing (TACCESS)     Hybrid Journal   (Followers: 3)
ACM Transactions on Algorithms (TALG)     Hybrid Journal   (Followers: 15)
ACM Transactions on Applied Perception (TAP)     Hybrid Journal   (Followers: 5)
ACM Transactions on Architecture and Code Optimization (TACO)     Hybrid Journal   (Followers: 9)
ACM Transactions on Autonomous and Adaptive Systems (TAAS)     Hybrid Journal   (Followers: 7)
ACM Transactions on Computation Theory (TOCT)     Hybrid Journal   (Followers: 12)
ACM Transactions on Computational Logic (TOCL)     Hybrid Journal   (Followers: 3)
ACM Transactions on Computer Systems (TOCS)     Hybrid Journal   (Followers: 17)
ACM Transactions on Computer-Human Interaction     Hybrid Journal   (Followers: 14)
ACM Transactions on Computing Education (TOCE)     Hybrid Journal   (Followers: 5)
ACM Transactions on Design Automation of Electronic Systems (TODAES)     Hybrid Journal   (Followers: 3)
ACM Transactions on Economics and Computation     Hybrid Journal  
ACM Transactions on Embedded Computing Systems (TECS)     Hybrid Journal   (Followers: 3)
ACM Transactions on Information Systems (TOIS)     Hybrid Journal   (Followers: 19)
ACM Transactions on Intelligent Systems and Technology (TIST)     Hybrid Journal   (Followers: 7)
ACM Transactions on Interactive Intelligent Systems (TiiS)     Hybrid Journal   (Followers: 3)
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)     Hybrid Journal   (Followers: 9)
ACM Transactions on Reconfigurable Technology and Systems (TRETS)     Hybrid Journal   (Followers: 6)
ACM Transactions on Sensor Networks (TOSN)     Hybrid Journal   (Followers: 7)
ACM Transactions on Speech and Language Processing (TSLP)     Hybrid Journal   (Followers: 8)
ACM Transactions on Storage     Hybrid Journal  
ACS Applied Materials & Interfaces     Full-text available via subscription   (Followers: 27)
Acta Automatica Sinica     Full-text available via subscription   (Followers: 2)
Acta Universitatis Cibiniensis. Technical Series     Open Access  
Ad Hoc Networks     Hybrid Journal   (Followers: 11)
Adaptive Behavior     Hybrid Journal   (Followers: 11)
Advanced Engineering Materials     Hybrid Journal   (Followers: 28)
Advanced Science Letters     Full-text available via subscription   (Followers: 9)
Advances in Adaptive Data Analysis     Hybrid Journal   (Followers: 7)
Advances in Artificial Intelligence     Open Access   (Followers: 15)
Advances in Calculus of Variations     Hybrid Journal   (Followers: 2)
Advances in Catalysis     Full-text available via subscription   (Followers: 5)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 18)
Advances in Computer Science : an International Journal     Open Access   (Followers: 15)
Advances in Computing     Open Access   (Followers: 2)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 51)
Advances in Engineering Software     Hybrid Journal   (Followers: 27)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 13)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 23)
Advances in Human-Computer Interaction     Open Access   (Followers: 19)
Advances in Materials Sciences     Open Access   (Followers: 14)
Advances in Operations Research     Open Access   (Followers: 12)
Advances in Parallel Computing     Full-text available via subscription   (Followers: 6)
Advances in Porous Media     Full-text available via subscription   (Followers: 5)
Advances in Remote Sensing     Open Access   (Followers: 43)
Advances in Science and Research (ASR)     Open Access   (Followers: 4)
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: 4)
AI EDAM     Hybrid Journal  
Air, Soil & Water Research     Open Access   (Followers: 11)
AIS Transactions on Human-Computer Interaction     Open Access   (Followers: 5)
Algebras and Representation Theory     Hybrid Journal   (Followers: 1)
Algorithms     Open Access   (Followers: 11)
American Journal of Computational and Applied Mathematics     Open Access   (Followers: 5)
American Journal of Computational Mathematics     Open Access   (Followers: 4)
American Journal of Information Systems     Open Access   (Followers: 5)
American Journal of Sensor Technology     Open Access   (Followers: 4)
Anais da Academia Brasileira de Ciências     Open Access   (Followers: 2)
Analog Integrated Circuits and Signal Processing     Hybrid Journal   (Followers: 7)
Analysis in Theory and Applications     Hybrid Journal   (Followers: 1)
Animation Practice, Process & Production     Hybrid Journal   (Followers: 5)
Annals of Combinatorics     Hybrid Journal   (Followers: 3)
Annals of Data Science     Hybrid Journal   (Followers: 11)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 12)
Annals of Pure and Applied Logic     Open Access   (Followers: 2)
Annals of Software Engineering     Hybrid Journal   (Followers: 13)
Annual Reviews in Control     Hybrid Journal   (Followers: 6)
Anuario Americanista Europeo     Open Access  
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 2)
Applied and Computational Harmonic Analysis     Full-text available via subscription   (Followers: 1)
Applied Artificial Intelligence: An International Journal     Hybrid Journal   (Followers: 13)
Applied Categorical Structures     Hybrid Journal   (Followers: 2)
Applied Clinical Informatics     Hybrid Journal   (Followers: 2)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 11)
Applied Computer Systems     Open Access   (Followers: 2)
Applied Informatics     Open Access  
Applied Mathematics and Computation     Hybrid Journal   (Followers: 33)
Applied Medical Informatics     Open Access   (Followers: 10)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 5)
Applied Soft Computing     Hybrid Journal   (Followers: 16)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 4)
Applied System Innovation     Open Access  
Architectural Theory Review     Hybrid Journal   (Followers: 3)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 5)
Archive of Numerical Software     Open Access  
Archives and Museum Informatics     Hybrid Journal   (Followers: 129)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 5)
arq: Architectural Research Quarterly     Hybrid Journal   (Followers: 7)
Artifact     Hybrid Journal   (Followers: 2)
Artificial Life     Hybrid Journal   (Followers: 7)
Asia Pacific Journal on Computational Engineering     Open Access  
Asia-Pacific Journal of Information Technology and Multimedia     Open Access   (Followers: 1)
Asian Journal of Computer Science and Information Technology     Open Access  
Asian Journal of Control     Hybrid Journal  
Assembly Automation     Hybrid Journal   (Followers: 2)
at - Automatisierungstechnik     Hybrid Journal   (Followers: 1)
Australian Educational Computing     Open Access   (Followers: 1)
Automatic Control and Computer Sciences     Hybrid Journal   (Followers: 4)
Automatic Documentation and Mathematical Linguistics     Hybrid Journal   (Followers: 5)
Automatica     Hybrid Journal   (Followers: 11)
Automation in Construction     Hybrid Journal   (Followers: 6)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 9)
Basin Research     Hybrid Journal   (Followers: 5)
Behaviour & Information Technology     Hybrid Journal   (Followers: 52)
Big Data and Cognitive Computing     Open Access   (Followers: 2)
Biodiversity Information Science and Standards     Open Access  
Bioinformatics     Hybrid Journal   (Followers: 281)
Biomedical Engineering     Hybrid Journal   (Followers: 15)
Biomedical Engineering and Computational Biology     Open Access   (Followers: 13)
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 19)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 35)
Briefings in Bioinformatics     Hybrid Journal   (Followers: 43)
British Journal of Educational Technology     Hybrid Journal   (Followers: 141)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 10)
c't Magazin fuer Computertechnik     Full-text available via subscription   (Followers: 1)
CALCOLO     Hybrid Journal  
Calphad     Hybrid Journal  
Canadian Journal of Electrical and Computer Engineering     Full-text available via subscription   (Followers: 14)
Capturing Intelligence     Full-text available via subscription  
Catalysis in Industry     Hybrid Journal   (Followers: 1)
CEAS Space Journal     Hybrid Journal   (Followers: 2)
Cell Communication and Signaling     Open Access   (Followers: 2)
Central European Journal of Computer Science     Hybrid Journal   (Followers: 5)
CERN IdeaSquare Journal of Experimental Innovation     Open Access   (Followers: 2)
Chaos, Solitons & Fractals     Hybrid Journal   (Followers: 3)
Chemometrics and Intelligent Laboratory Systems     Hybrid Journal   (Followers: 14)
ChemSusChem     Hybrid Journal   (Followers: 7)
China Communications     Full-text available via subscription   (Followers: 7)
Chinese Journal of Catalysis     Full-text available via subscription   (Followers: 2)
CIN Computers Informatics Nursing     Full-text available via subscription   (Followers: 11)
Circuits and Systems     Open Access   (Followers: 15)
Clean Air Journal     Full-text available via subscription   (Followers: 1)
CLEI Electronic Journal     Open Access  
Clin-Alert     Hybrid Journal   (Followers: 1)
Cluster Computing     Hybrid Journal   (Followers: 1)
Cognitive Computation     Hybrid Journal   (Followers: 4)
COMBINATORICA     Hybrid Journal  
Combinatorics, Probability and Computing     Hybrid Journal   (Followers: 4)
Combustion Theory and Modelling     Hybrid Journal   (Followers: 14)
Communication Methods and Measures     Hybrid Journal   (Followers: 12)
Communication Theory     Hybrid Journal   (Followers: 20)
Communications Engineer     Hybrid Journal   (Followers: 1)
Communications in Algebra     Hybrid Journal   (Followers: 3)
Communications in Computational Physics     Full-text available via subscription   (Followers: 2)
Communications in Partial Differential Equations     Hybrid Journal   (Followers: 3)
Communications of the ACM     Full-text available via subscription   (Followers: 52)
Communications of the Association for Information Systems     Open Access   (Followers: 16)
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering     Hybrid Journal   (Followers: 3)
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: 6)
Complexus     Full-text available via subscription  
Composite Materials Series     Full-text available via subscription   (Followers: 8)
Computación y Sistemas     Open Access  
Computation     Open Access  
Computational and Applied Mathematics     Hybrid Journal   (Followers: 2)
Computational and Mathematical Methods in Medicine     Open Access   (Followers: 2)
Computational and Mathematical Organization Theory     Hybrid Journal   (Followers: 2)
Computational and Structural Biotechnology Journal     Open Access   (Followers: 2)
Computational and Theoretical Chemistry     Hybrid Journal   (Followers: 9)
Computational Astrophysics and Cosmology     Open Access   (Followers: 1)
Computational Biology and Chemistry     Hybrid Journal   (Followers: 11)
Computational Chemistry     Open Access   (Followers: 2)
Computational Cognitive Science     Open Access   (Followers: 2)
Computational Complexity     Hybrid Journal   (Followers: 4)
Computational Condensed Matter     Open Access  
Computational Ecology and Software     Open Access   (Followers: 9)
Computational Economics     Hybrid Journal   (Followers: 9)
Computational Geosciences     Hybrid Journal   (Followers: 15)
Computational Linguistics     Open Access   (Followers: 23)
Computational Management Science     Hybrid Journal  
Computational Mathematics and Modeling     Hybrid Journal   (Followers: 8)
Computational Mechanics     Hybrid Journal   (Followers: 5)
Computational Methods and Function Theory     Hybrid Journal  
Computational Molecular Bioscience     Open Access   (Followers: 2)
Computational Optimization and Applications     Hybrid Journal   (Followers: 7)
Computational Particle Mechanics     Hybrid Journal   (Followers: 1)
Computational Research     Open Access   (Followers: 1)
Computational Science and Discovery     Full-text available via subscription   (Followers: 2)
Computational Science and Techniques     Open Access  
Computational Statistics     Hybrid Journal   (Followers: 14)
Computational Statistics & Data Analysis     Hybrid Journal   (Followers: 30)
Computer     Full-text available via subscription   (Followers: 94)
Computer Aided Surgery     Hybrid Journal   (Followers: 6)
Computer Applications in Engineering Education     Hybrid Journal   (Followers: 8)
Computer Communications     Hybrid Journal   (Followers: 10)
Computer Engineering and Applications Journal     Open Access   (Followers: 5)
Computer Journal     Hybrid Journal   (Followers: 9)
Computer Methods in Applied Mechanics and Engineering     Hybrid Journal   (Followers: 23)
Computer Methods in Biomechanics and Biomedical Engineering     Hybrid Journal   (Followers: 12)
Computer Methods in the Geosciences     Full-text available via subscription   (Followers: 2)
Computer Music Journal     Hybrid Journal   (Followers: 19)

        1 2 3 4 5 6 | Last

Journal Cover Cluster Computing
  [SJR: 0.605]   [H-I: 24]   [1 followers]  Follow
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 1573-7543 - ISSN (Online) 1386-7857
   Published by Springer-Verlag Homepage  [2351 journals]
  • Research on the evaluation index system of college students’ class
           teaching quality based on association algorithm
    • Authors: ZhiChao Wang; Qing Tian; Xinxing Duan
      Abstract: Nowadays, the universal application and development of computer technology make data mining play an extremely crucial role in students’ English education. In this paper, students’ English learning is taken as an entry point, and Apriori algorithm is used to analyze English majors’ education technical to train data mining. In this paper, the introduction of lift-measure interest independent is used to explore the rules that can arouse our own interest. Taking the mutual exclusion of mining data into account, optimize and improve the classic Apriori algorithm, it improves the efficiency of mining frequent item sets effectively. After optimization, AD-apriori algorithm can make the reduction in complexity of time and space in mining process.
      PubDate: 2018-02-27
      DOI: 10.1007/s10586-018-2100-8
  • Research on semantic association vector MSAV feature selection based on
           Sal-F algorithm
    • Authors: Jing Yan; Liguo Li
      Abstract: The traditional way of lexical interpretation is to use some words to explain other words. These semantic information cannot be used to solve the problem of natural language processing oriented to the physical situation. Based on this, this paper proposes a new method based on the feature vector Word semantic representation model and its corresponding learning algorithm Sal-F. This algorithm applies the idea of cross-scenario learning to the alignment of “word-shape features” and uses the result of feature selection under MSAV to construct a visual semantic model Lsm-G, A semantic dictionary based on graph features is constructed. Using machine-oriented evaluation method, the average selection accuracy of this algorithm is about 70%, and the accuracy of sentence selection is up to 16%.
      PubDate: 2018-02-27
      DOI: 10.1007/s10586-018-2081-7
  • Numerical simulation of twin-barge float-over installation on AQWA
    • Authors: Aixia Cao; Song Sang; Jing Sheng; Shuainan Yu; Guomeng Zhang; Xiao Shi
      Abstract: Float-over installation for the deep water platform is widely used all over the world. As one of float-over installation methods, twin-barge float-over installation has become a hot topic for offshore platform installation for it’s being unlimited by size of platform opening and draught as well as being capable for installation of larger topsides. By using AQWA software according to characteristics of weight loading transfer during installation of topsides by means of twin-barge float-over and taking the model of Cell Spar applicable for reference establishes a hydrodynamic model of objective platform on different stages during the installation process. By two connection methods of rigid and hinge connection by using the AQWA-Drift software simulates the movement response of float-over barge, topsides and platform in an ocean environment. Movement characteristics of upper modules of Spar platform is analyzed in installation of twin-barge float-over by different connection methods on four aspects of contrast of relative motion between barge and platform, contrast of single floating body motion response upon rigid and hinge connection, contrast of stress status of joint touch point and contrast in stress of mooring rope. The conclusion is that when the environmental loading incidence is transverse, the relative motion between barge and platform is most intense during the upper loading of float-over barge’s transferring to main body of the platform by 50%. And it is obvious that two connection methods of rigid and hinge connection have a certain influence on roll motion response of barges. Meanwhile, the support reverses force and cable tension upon rigid connection is significantly greater than the ones upon hinge connection.
      PubDate: 2018-02-27
      DOI: 10.1007/s10586-018-1962-0
  • Iot based real time trafic control using cloud computing
    • Authors: M. Vardhana; N. Arunkumar; Enas Abdulhay; P. V. Vishnuprasad
      Abstract: The rapid increase in the number of vehicles has given rise to the traffic jam, which is a major problem these days. The effect of traffic jam also effects the operation of ambulance. To avoid the traffic jam for the ambulance, a new idea is developed. In this paper we propose a new concept to avoid traffic jam for the ambulance and thus saving the life of an individual. At first the ambulance is detected and the information about the arrival of the ambulance is sent to the next station. The ambulance will make siren only when it carries patient inside, so by detecting both the ambulance siren and the image taken from the acquisition device, the information is sent to the next point which is on the way to hospital. Announcement of the arrival of the ambulance is done. The CCTV camera is monitoring each vehicle on that road. If any vehicle doesn’t abide by the announcement done, the image of the vehicle will be captured, and then by using the acquired image the number plate will be tracked and will be detected automatically by image processing. The vehicle information is sent to the police station, to take the necessary action. Thus the traffic control can be done and the way is cleared for the ambulance and life is saved. The processing is done using MATLAB and is verified.
      PubDate: 2018-02-27
      DOI: 10.1007/s10586-018-2152-9
  • A novel short-term multi-input–multi-output prediction model of wind
           speed and wind power with LSSVM based on improved ant colony algorithm
    • Authors: Jingxian Yang
      Abstract: The intermittency and uncertainty of wind power may pose danger on the safety on the power system, thus the research of wind speed and wind power prediction methods has been widely concerned. The keys of wind power forecasting are the forecasting model selection and model optimization. In this paper, the least squares support vector machine (LSSVM) is chosen as the wind speed and wind power prediction model and improved ant colony optimization (IACO) algorithm is used to optimize the most important parameters which influence the least squares support vector machine (LSSVM) regression model. In the IACO-LSSVM method, the kernel parameter σ and regularization parameter γ were considered the position vector of ants, the improved pheromone updating method is used to effectively solve the contradiction between expanding search and finding optimal solution. A multi-input–multi-output (MIMO) short-term wind speed and wind power forecasting model is built and applied in a wind farm of Gansu province in order to predict wind speed and wind power. For comparative study, PSO-LSSVM model and SVM model are used for forecasting. Prediction analysis results show that the IACO-LSSVM model can achieve higher prediction accuracy and confirm the effectiveness and feasibility of the method.
      PubDate: 2018-02-27
      DOI: 10.1007/s10586-018-2107-1
  • The research of theoretical construction and effect of preschool wisdom
           education system in the background of big data
    • Authors: Hao Liu
      Abstract: The transition from the digital age to the mobile intelligent era has quietly triggered the profound changes in the cognitive thinking modes and learning styles of preschool education majors (preschool teachers). In this context, this paper proposes a collaborative recommendation mechanism for personalized learning path generation in the Web environment. Starting from the learner’s existing cognitive level, this paper proposes a collaborative recommendation mechanism based on learner’s actual Demand, community to achieve personalized learning resources recommended. The research builds the Collaborative recommendation model through architecture design and algorithm design, and validates its validity through a series of experiments. The results show that to some extent, the research results can recommend the ideal learning path to target users, effectively improve the accuracy of recommended teaching resources, and then improve the quality and effectiveness of kindergarten teachers’ pre-employment training and post-employment development, to help them achieve lifelong Learning and development.
      PubDate: 2018-02-27
      DOI: 10.1007/s10586-018-2102-6
  • Grid Connected Photovoltaic Power Generation Control Method Based on Swarm
           Intelligence Algorithm
    • Authors: Chen Xiaoyu; Zheng Jianyong; Mei Jun
      Abstract: Unipolar and bipolar modulations are widely used in the active power filter of photovoltaic grid-connected inverter. In this paper, the basic modulation strategy, on–off action, influence of operational mode, harmonic current and efficiency of unipolar modulation are compared with the same of bipolar modulation. On this basis, a hybrid modulation strategy integrating advantages of unipolar and bipolar modulations is obtained after analysis, of which effectiveness and feasibility is verified in experiment.
      PubDate: 2018-02-27
      DOI: 10.1007/s10586-018-2047-9
  • Research on evaluation of public sports service in stadiums based on FNN
    • Authors: Zhixiang Jin
      Abstract: In the context of globalization and informationization, stadiums city refers to a class of cities that are of great significance to regional sports. This paper studies the evaluation of urban public sports services in stadiums city under the fuzzy theory. In this paper, the fuzzy evaluation procedure and index of public sports service in stadiums are firstly selected and determined according to the weight ratio. Secondly, FNN algorithm for improving hidden nodes is introduced to solve the model based on the idea of neural network. Finally, we come to the conclusion that its public sports service quality is medium level, after taking Shenyang as an example and judging the quality of urban public sports services by using fuzzy comprehensive evaluation system.
      PubDate: 2018-02-27
      DOI: 10.1007/s10586-018-2105-3
  • Human behavior recognition based on multi-feature fusion of image
    • Authors: Xu Song; Hongyu Zhou; Guoying Liu
      Abstract: Human behavior recognition has become one of the most active topics in computer vision and pattern recognition, which has a wide range of promising applications. In order to overcome the deficiency of single representation feature, a new recognition algorithm of human behavior based on multi-feature fusion of image and conditional random fields (CRF) is presented in this paper. The proposed algorithm consists of three essential cascade modules. First, AE features and RNN features were obtained by extracting the behaviors of the action by the recurrent neural network (RNN) and the AutoEncoder (AE), Then, feature similarity was introduced, the AE features and RNN features were fused to form a more comprehensive and accurate AE-RNN feature by using feature similarity. Finally, the multiple features were using for recognizing the human behavior of image by conditional random fields. The experimental results show that the proposed algorithm is effective and promising and has higher accurate recognition rate which can adapt to complex background and behavioral changes.
      PubDate: 2018-02-27
      DOI: 10.1007/s10586-018-2073-7
  • A simplified method for calculating surface stress of thick walled
           cylinder based on numerical calculation method
    • Authors: Gan Lin; Lu Ming; Tao Feng-he; Men Xiang-dong
      Abstract: The maximum compound stress in the thick wall cylinder is usually the key factor that causes the thick wall cylinder to crack. The existing calculation method for stress–strain under thermo-mechanical impact in thick wall cylinder is suitable for stress analysis in the thermo-elastic range. However, the compound stress of the thick wall cylinder under the thermoplastic condition cannot be well analyzed. In this paper, a method to calculate the compound stress of the thick wall cylinder under the effect of thermal–mechanical impact is proposed, based on the finite difference method and the ideal elastic–plastic model and the Mises yield criterion. This method solves the problem of the compound stress calculation to the tube wall under the thermoplastic condition, which change as a result of the combined effect of thermo-mechanical impact. The compound stress in the wall close to the bore surface at different times during shooting is calculated, taking the firing process of a gun as an example. The calculation results well explain the cause of the formation of the crack and the distribution characteristics of the crack in the bore surface.
      PubDate: 2018-02-27
      DOI: 10.1007/s10586-018-2248-2
  • Exploring eye-tracking analyses of EFL learners’ cognitive processing of
           reduced relative clause
    • Authors: Xuesong Zhai; Yan Dong; Shengfen Wang; Li Wang; Jing Yuan
      Abstract: Eye-tracking technique is regarded as a reliable sensitive measurement to detect the regulation of eye movements, from which the objective visual data could be detected to explain invisible cognitive behavior. This paper employed eye-tracking sensors to examine how learners process reduced relative clause (RRC) sentences. The current research recruited 60 college students from a Chinese university to read three different types of RRC exemplars: left-branching, center-embodied and right-branching, and the sentences of each type were inserted frequent and/or infrequent verbs. The eye trackers were utilized to capture their eyes movements, and the instant visual data including fixation duration, fixation count as well as the scanning path were collected, compared and analysed. The results indicated that learners had the highest cognitive load when processing the center-embedded type of RRC, followed by the right-branching type and the left-branching type. Additionally, when the participant’s cognitive load is at a high level, the influence of verb frequency tends to be diminished. Besides, the results also revealed that the focus on the key areas, such as the conjunction, played a critical role in sentence processing. Furthermore, there leave several valuable practical and theoretical implications for further research. Firstly, eye-tracking technology is an adaptability for the measurement of mental process, which provide visualized evaluation of human–computer interaction. Secondly, the cognitive load theory could be extended and further studied though biofeedback data in the future.
      PubDate: 2018-02-27
      DOI: 10.1007/s10586-018-2263-3
  • Knowledge representation framework of accounting event in corpus-based
           financial report text
    • Authors: Zhuoqian Liang; Ding Pan; Ruijing Xu
      Abstract: As the financial report has entered the “era of annotation” (Fan and Zhang in Contemp Accout Res 29(1):38–42 2012), and the length of the unstructured information in the financial report has far exceeded the financial statements. In order to carry on the automatic analysis and processing to the text information in the financial report with the help of information technology, a combination of the information extraction and XBRL technology is needed to carry on the structured research to the text information in the Chinese financial report (Heidari and Felden in Proceedings of 10th international conference on DESRIST, LNCS 9073, 2015). Based on a self-built Chinese enterprise annual report corpus, this paper studies the characteristics and patterns of the disclosure language of accounting events in Chinese enterprises’ annual reports, which can be examplified in the “related transaction events”. This paper summarizes an expression framework of accounting event knowledge. The study is expected to lay the foundation for the study of annotated textual information extraction and automatic generation of XBRL financial reports, which shall be helpful to improve the quality of financial data and information sharing.
      PubDate: 2018-02-27
      DOI: 10.1007/s10586-018-2153-8
  • AI-based software-defined virtual network function scheduling with delay
    • Authors: Dan Liao; Yulong Wu; Ziyang Wu; Zeyuan Zhu; Wanting Zhang; Gang Sun; Victor Chang
      Abstract: AI-based network function virtualization (NFV) is an emerging technique that separates network control functionality from dedicated hardware middleboxes and is virtualized to reduce capital and operational costs. With the advances of NFV and AI-based software-defined networks, dynamic network service demands can be flexibly and effectively accomplished by connecting multiple virtual network functions (VNFs) running on virtual machines. However, such promising technology also introduces several new research challenges. Due to resource constraints, service providers may have to deploy different service function chains (SFCs) to share the same physical resources. Such sharing inevitably forces the scheduling of the SFCs and resources, which consumes computational time and introduces problems associated with reducing the response delay. In this paper, we address this challenge by developing two dynamic priority methods for queuing AI-based VNFs/services to improve the user experience. We account for both transmission and processing delays in our proposed algorithms and achieve a new processing order (scheduler) for VNFs to minimize the overall scheduling delay. The simulation results indicate that the proposed scheme can promote the performance of AI-based VNFs/services to meet strict latency requirements.
      PubDate: 2018-02-27
      DOI: 10.1007/s10586-018-2124-0
  • Interior design and pattern innovation design study based on generic
           algorithm logistics information
    • Authors: Qi Zhu
      Abstract: Interior design takes up a very important role in art design. As one of the most important and general part of pattern design, flower pattern design has always been the theme to which people pay most attention. This article first states the adaptive genetic algorithm, and then builds curvilinear fitting method which is based on the adaptive genetic algorithm. Furthermore, the researchers did tests on the algorithm and got the result: using this method can make the initial design project vary, and offers an effective method for flower pattern innovation design. They also used fitting operation for image materials to provide the most direct linear materials for planners, and added ways to offer initial curves of pattern design.
      PubDate: 2018-02-26
      DOI: 10.1007/s10586-018-2080-8
  • Laser-based measurement for micro-unbalance of cylindrical rollers of the
           high-speed precision rolling bearings
    • Authors: Xin Sui; Chunyang Liu; Jishun Li; Yujun Xue; Yongjian Yu; Yong Cui
      Abstract: It is a stringent requirement for China to develop the technology on the measurement for the unavoidable micro residual unbalance of tiny cylindrical rollers of the high-speed precision bearings, which are widely equipped on high-end advanced equipment. During the measurement process, the vibration response excited by micro unbalance, which is easy to be messed up with background noise, is hard to be detected and a soft support mounting bracket is proposed to enhance the amplitude of vibration response, while maintaining the steady rotation of test roller. Accordingly, a dynamic model of both test roller and mounting bracket is constructed to analyze and simulate the vibration response. Furthermore, a μm level high precision laser-based non-contact measurement system consisting of a roller rotation drive system and a vibration signal acquisition system is developed to measure the synchronized vibration of the unbalance. Finally, by comparing experiment results of a standard roller with a special prepared unbalanced roller and comparing experiment results with simulated results, the validity of the proposed measurement method is verified.
      PubDate: 2018-02-26
      DOI: 10.1007/s10586-018-2095-1
  • A new framework for the complex system’s simulation and analysis
    • Authors: Yuan Gao; Qing Li
      Abstract: Statistics (or probabilistic theory) and machine learning are currently the main methods of complex system researching. In order to solve the problems of the statistics and machine learning the CUP algorithm in this paper is proposed. The paper gave the basic definition and the measure of the CUP meanwhile it provided the theoretical support for application. Fitting algorithm based on CUP system was introduced. The algorithm can output more information from the fitting process. Contract of fitting to Lorenz system between CUP algorithm and artificial neural net was displayed in the following part. The different fitting effect by different candidate coefficient set is discussed. A typical example of realistic social application and other usages are put up. The CUP algorithm provides the probability and numerical fitting conclusion CUP algorithm the same time while numerical calculation accuracy is optional for different problems.
      PubDate: 2018-02-26
      DOI: 10.1007/s10586-018-2071-9
  • Time orient LEAD based polling point selection algorithm for efficient
           data aggregation in wireless sensor networks
    • Authors: R. Yuvaraj; A. Chandrasekar; S. Jothi
      Abstract: Data collection is a problem of which a detailed and indepth study has been made. It is known for numerous approaches and a variety of measures and methods that have the objective of validation. The efficacy of data collection still remains a baffling issue and a challenging task. Algorithms do exist in this area, but each considers only either a single feature or few thereof. This paper presents a time orient location energy availability data rate (LEAD) based scheduling algorithm for the improvements of the performance of data collection in wireless sensor networks. The salient feature of this method is its scheduling the sensors for the polling point on the basis of energy and location of the sensor. The method involves the identification of sensors of a small number of which one of which is chosen as the polling point. Computation of the LEAD weight for the sensors of any region is made and a tiny set with higher LEAD weight is selected. The mobile collector selects the polling point based on the LEAD weight and only one visit is done for the polling point when it has enough score and that too in a periodic manner. Data collection is done on a route whose selection is based on energy, hop, reliable routing. This scheme has the specific advantage of improving data aggregation and network lifetime maximization.
      PubDate: 2018-02-26
      DOI: 10.1007/s10586-018-2166-3
  • Information classification algorithm based on decision tree optimization
    • Authors: Hongbin Wang; Tong Wang; Yucai Zhou; Lianke Zhou; Huafeng Li
      Abstract: With the rapid development of information technology, the efficiency of information management has drawn increasing importance with its broadening application. Hence, a new information classification algorithm has proposed in this paper so as to improve information management of the limited resources by reducing its complexity. However, ID3 algorithm is a classical and imprecise algorithm in data mining, because traditional ID3 algorithm selects the attribute that has the maximum information gain according to the data set as that of the split node. Then the data subset is further divided according to the number of attribute values, and the information gain of each subset is calculated recursively. Decision Tree Optimization Ratio is the core approach in this algorithm, whose basic ideas have been introduced and analysed, proving to be more complex. Therefore, the authors propose a relatively precise RLBOR algorithm which takes the number of nodes in the decision tree model into consideration. The experiment show more precise of RLBOR algorithm.
      PubDate: 2018-02-26
      DOI: 10.1007/s10586-018-1989-2
  • An intelligent reversible watermarking system for authenticating medical
           images using Wavelet and PSO
    • Authors: K. Balasamy; S. Ramakrishnan
      Abstract: This paper presents a novel medical image authentication system through wavelet decomposition and particle swarm optimization (PSO). First medical image is treated with wavelet transformation and another image is treated with tent map and a hash function to further protect the secret watermark. Tent map ensures the sensitivity towards changes in the initial value which, can better protect and encrypt the original watermark. The operations performed on the binary coded image are based on the encryption sequences generated from chaotic map. Particle swarm optimization (PSO) results in producing optimal balance between embedding capacity and imperceptibility by exploiting the image pixel correlation of neighboring pixels. The novelty of the proposed technique lies in its ability to create a model that can find optimal wavelet coefficients for embedding using PSO and also acts as an absolute feature for embedding the watermark. The proposed method is thus able to embed watermark with low distortion, take out the secret information and also recovers the original image. The proposed technique is valuable with respect to robustness, capacity and imperceptibility.
      PubDate: 2018-02-26
      DOI: 10.1007/s10586-018-1991-8
  • Contrastive analysis of English literature comparative literature based on
           Bayesian clustering approach to big data
    • Authors: Jiang Li
      Abstract: One comparative analysis method of English comparative literature based on big data Bayesian method has been proposed to improve the calculation accuracy of comparative analysis process of English comparative literature. Firstly, one multilayer Bayesian classification recognition algorithm mechanism has been proposed for the problem of low accuracy and poor calculation efficiency of Bayesian classification algorithm under the big data environment; Gabor multilayer feature extraction algorithm has been proposed for multilayer Bayesian algorithm, Gabor multilayer feature extraction Bayesian algorithm has been designed and realized. Secondly, the algorithm process of comparative analysis system of English comparative literature based on this improved algorithm has been designed and the success rate of comparative analysis of English comparative literature has been improved effectively based on the features of comparative analysis of English comparative literature. Finally, the effectiveness of algorithm has been verified through experimental simulation.
      PubDate: 2018-02-26
      DOI: 10.1007/s10586-018-2123-1
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
Home (Search)
Subjects A-Z
Publishers A-Z
Your IP address:
About JournalTOCs
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-