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Publisher: Inderscience Publishers   (Total: 427 journals)

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Showing 1 - 200 of 427 Journals sorted alphabetically
African J. of Accounting, Auditing and Finance     Hybrid Journal   (Followers: 12)
African J. of Economic and Sustainable Development     Hybrid Journal   (Followers: 12)
Afro-Asian J. of Finance and Accounting     Hybrid Journal   (Followers: 7, SJR: 0.205, h-index: 3)
American J. of Finance and Accounting     Hybrid Journal   (Followers: 19)
Asian J. of Management Science and Applications     Hybrid Journal   (Followers: 4)
Atoms for Peace: an Intl. J.     Hybrid Journal   (Followers: 3, SJR: 0.103, h-index: 1)
Electronic Government, an Intl. J.     Hybrid Journal   (Followers: 15, SJR: 0.185, h-index: 23)
EuroMed J. of Management     Hybrid Journal  
European J. of Cross-Cultural Competence and Management     Hybrid Journal   (Followers: 7)
European J. of Industrial Engineering     Hybrid Journal   (Followers: 8, SJR: 0.987, h-index: 16)
European J. of Intl. Management     Hybrid Journal   (Followers: 1, SJR: 0.258, h-index: 10)
Global Business and Economics Review     Hybrid Journal   (Followers: 1, SJR: 0.13, h-index: 7)
Interdisciplinary Environmental Review     Hybrid Journal   (Followers: 3)
Intl. J. of Abrasive Technology     Hybrid Journal   (Followers: 2, SJR: 0.207, h-index: 10)
Intl. J. of Accounting and Finance     Hybrid Journal   (Followers: 13)
Intl. J. of Accounting, Auditing and Performance Evaluation     Hybrid Journal   (Followers: 13, SJR: 0.143, h-index: 9)
Intl. J. of Ad Hoc and Ubiquitous Computing     Hybrid Journal   (Followers: 9, SJR: 0.245, h-index: 13)
Intl. J. of Adaptive and Innovative Systems     Hybrid Journal   (Followers: 1)
Intl. J. of Additive and Subtractive Materials Manufacturing     Hybrid Journal   (Followers: 1)
Intl. J. of Advanced Intelligence Paradigms     Hybrid Journal   (Followers: 3, SJR: 0.39, h-index: 5)
Intl. J. of Advanced Mechatronic Systems     Hybrid Journal   (Followers: 2, SJR: 0.212, h-index: 7)
Intl. J. of Advanced Media and Communication     Hybrid Journal   (Followers: 23, SJR: 0.103, h-index: 9)
Intl. J. of Advanced Operations Management     Hybrid Journal   (Followers: 7, SJR: 0.24, h-index: 4)
Intl. J. of Aerodynamics     Hybrid Journal   (Followers: 20)
Intl. J. of Agent-Oriented Software Engineering     Hybrid Journal   (Followers: 4)
Intl. J. of Agile and Extreme Software Development     Hybrid Journal   (Followers: 4)
Intl. J. of Agile Systems and Management     Hybrid Journal   (Followers: 7, SJR: 0.212, h-index: 8)
Intl. J. of Agricultural Resources, Governance and Ecology     Hybrid Journal   (Followers: 2, SJR: 0.125, h-index: 17)
Intl. J. of Alternative Propulsion     Hybrid Journal   (Followers: 6, SJR: 0.103, h-index: 9)
Intl. J. of Applied Cryptography     Hybrid Journal   (Followers: 12, SJR: 0.401, h-index: 9)
Intl. J. of Applied Decision Sciences     Hybrid Journal   (Followers: 4, SJR: 0.455, h-index: 11)
Intl. J. of Applied Management Science     Hybrid Journal   (Followers: 5, SJR: 0.369, h-index: 10)
Intl. J. of Applied Nonlinear Science     Hybrid Journal   (Followers: 1)
Intl. J. of Applied Pattern Recognition     Hybrid Journal   (Followers: 3)
Intl. J. of Applied Systemic Studies     Hybrid Journal   (SJR: 0.138, h-index: 5)
Intl. J. of Arab Culture, Management and Sustainable Development     Hybrid Journal   (Followers: 8)
Intl. J. of Artificial Intelligence and Soft Computing     Hybrid Journal   (Followers: 9)
Intl. J. of Arts and Technology     Hybrid Journal   (Followers: 6, SJR: 0.114, h-index: 10)
Intl. J. of Auditing Technology     Hybrid Journal   (Followers: 5)
Intl. J. of Automation and Control     Hybrid Journal   (Followers: 9, SJR: 0.297, h-index: 7)
Intl. J. of Automation and Logistics     Hybrid Journal   (Followers: 5)
Intl. J. of Automotive Composites     Hybrid Journal   (Followers: 2)
Intl. J. of Automotive Technology and Management     Hybrid Journal   (Followers: 6, SJR: 0.356, h-index: 15)
Intl. J. of Autonomic Computing     Hybrid Journal   (Followers: 1)
Intl. J. of Autonomous and Adaptive Communications Systems     Hybrid Journal   (Followers: 4, SJR: 0.125, h-index: 10)
Intl. J. of Aviation Management     Hybrid Journal   (Followers: 4)
Intl. J. of Banking, Accounting and Finance     Hybrid Journal   (Followers: 12, SJR: 0.153, h-index: 5)
Intl. J. of Behavioural Accounting and Finance     Hybrid Journal   (Followers: 7)
Intl. J. of Behavioural and Healthcare Research     Hybrid Journal   (Followers: 7)
Intl. J. of Bibliometrics in Business and Management     Hybrid Journal   (Followers: 1)
Intl. J. of Big Data Intelligence     Hybrid Journal   (Followers: 13)
Intl. J. of Bio-Inspired Computation     Hybrid Journal   (Followers: 1, SJR: 0.77, h-index: 25)
Intl. J. of Bioinformatics Research and Applications     Hybrid Journal   (Followers: 15, SJR: 0.231, h-index: 13)
Intl. J. of Biomechatronics and Biomedical Robotics     Hybrid Journal   (Followers: 4)
Intl. J. of Biomedical Engineering and Technology     Hybrid Journal   (Followers: 4, SJR: 0.213, h-index: 10)
Intl. J. of Biomedical Nanoscience and Nanotechnology     Hybrid Journal   (Followers: 6)
Intl. J. of Biometrics     Hybrid Journal   (Followers: 4, SJR: 0.244, h-index: 10)
Intl. J. of Biotechnology     Hybrid Journal   (Followers: 5, SJR: 0.128, h-index: 15)
Intl. J. of Bonds and Derivatives     Hybrid Journal   (Followers: 1)
Intl. J. of Business and Emerging Markets     Hybrid Journal   (Followers: 3)
Intl. J. of Business and Globalisation     Hybrid Journal   (Followers: 1, SJR: 0.21, h-index: 7)
Intl. J. of Business and Systems Research     Hybrid Journal   (Followers: 1, SJR: 0.205, h-index: 11)
Intl. J. of Business Competition and Growth     Hybrid Journal   (Followers: 6)
Intl. J. of Business Continuity and Risk Management     Hybrid Journal   (Followers: 14)
Intl. J. of Business Environment     Hybrid Journal   (Followers: 3)
Intl. J. of Business Excellence     Hybrid Journal   (Followers: 3, SJR: 0.333, h-index: 12)
Intl. J. of Business Forecasting and Marketing Intelligence     Hybrid Journal   (Followers: 6)
Intl. J. of Business Governance and Ethics     Hybrid Journal   (Followers: 4, SJR: 0.222, h-index: 8)
Intl. J. of Business Information Systems     Hybrid Journal   (Followers: 17, SJR: 0.264, h-index: 18)
Intl. J. of Business Innovation and Research     Hybrid Journal   (Followers: 9, SJR: 0.273, h-index: 13)
Intl. J. of Business Intelligence and Data Mining     Hybrid Journal   (Followers: 31, SJR: 0.196, h-index: 13)
Intl. J. of Business Intelligence and Systems Engineering     Hybrid Journal  
Intl. J. of Business Performance and Supply Chain Modelling     Hybrid Journal   (Followers: 14)
Intl. J. of Business Performance Management     Hybrid Journal   (Followers: 8, SJR: 0.194, h-index: 15)
Intl. J. of Business Process Integration and Management     Hybrid Journal   (Followers: 13, SJR: 0.172, h-index: 15)
Intl. J. of Chinese Culture and Management     Hybrid Journal   (Followers: 5)
Intl. J. of Circuits and Architecture Design     Hybrid Journal   (Followers: 6)
Intl. J. of Cloud Computing     Hybrid Journal   (Followers: 26)
Intl. J. of Cognitive Biometrics     Hybrid Journal   (Followers: 2)
Intl. J. of Cognitive Performance Support     Hybrid Journal   (Followers: 4)
Intl. J. of Collaborative Engineering     Hybrid Journal  
Intl. J. of Collaborative Enterprise     Hybrid Journal  
Intl. J. of Collaborative Intelligence     Hybrid Journal   (Followers: 1)
Intl. J. of Communication Networks and Distributed Systems     Hybrid Journal   (Followers: 7, SJR: 0.262, h-index: 9)
Intl. J. of Competitiveness     Hybrid Journal   (Followers: 2)
Intl. J. of Complexity in Applied Science and Technology     Hybrid Journal  
Intl. J. of Complexity in Leadership and Management     Hybrid Journal   (Followers: 25)
Intl. J. of Computational Biology and Drug Design     Hybrid Journal   (Followers: 1, SJR: 0.272, h-index: 8)
Intl. J. of Computational Complexity and Intelligent Algorithms     Hybrid Journal   (Followers: 1)
Intl. J. of Computational Economics and Econometrics     Hybrid Journal   (Followers: 5)
Intl. J. of Computational Intelligence in Bioinformatics and Systems Biology     Hybrid Journal   (Followers: 10)
Intl. J. of Computational Intelligence Studies     Hybrid Journal   (Followers: 2)
Intl. J. of Computational Materials Science and Surface Engineering     Hybrid Journal   (Followers: 6, SJR: 0.159, h-index: 6)
Intl. J. of Computational Science and Engineering     Hybrid Journal   (Followers: 2, SJR: 0.34, h-index: 12)
Intl. J. of Computational Systems Engineering     Hybrid Journal  
Intl. J. of Computational Vision and Robotics     Hybrid Journal   (Followers: 4, SJR: 0.123, h-index: 4)
Intl. J. of Computer Aided Engineering and Technology     Hybrid Journal   (Followers: 2, SJR: 0.112, h-index: 7)
Intl. J. of Computer Applications in Technology     Hybrid Journal   (Followers: 3, SJR: 0.309, h-index: 20)
Intl. J. of Computers in Healthcare     Hybrid Journal   (Followers: 2)
Intl. J. of Computing Science and Mathematics     Hybrid Journal   (Followers: 2, SJR: 0.385, h-index: 10)
Intl. J. of Continuing Engineering Education and Life-Long Learning     Hybrid Journal   (Followers: 3, SJR: 0.217, h-index: 16)
Intl. J. of Convergence Computing     Hybrid Journal   (Followers: 1)
Intl. J. of Corporate Governance     Hybrid Journal   (Followers: 4)
Intl. J. of Corporate Strategy and Social Responsibility     Hybrid Journal   (Followers: 3)
Intl. J. of Creative Computing     Hybrid Journal   (Followers: 1)
Intl. J. of Critical Accounting     Hybrid Journal   (Followers: 3)
Intl. J. of Critical Computer-Based Systems     Hybrid Journal   (SJR: 0.22, h-index: 6)
Intl. J. of Critical Infrastructures     Hybrid Journal   (Followers: 3, SJR: 0.277, h-index: 18)
Intl. J. of Data Analysis Techniques and Strategies     Hybrid Journal   (Followers: 5, SJR: 0.381, h-index: 10)
Intl. J. of Data Mining and Bioinformatics     Hybrid Journal   (Followers: 17, SJR: 0.289, h-index: 13)
Intl. J. of Data Mining, Modelling and Management     Hybrid Journal   (Followers: 14, SJR: 0.152, h-index: 8)
Intl. J. of Data Science     Hybrid Journal   (Followers: 8)
Intl. J. of Decision Sciences, Risk and Management     Hybrid Journal   (Followers: 8)
Intl. J. of Decision Support Systems     Hybrid Journal  
Intl. J. of Design Engineering     Hybrid Journal   (Followers: 14)
Intl. J. of Digital Culture and Electronic Tourism     Hybrid Journal   (Followers: 7)
Intl. J. of Diplomacy and Economy     Hybrid Journal   (Followers: 5)
Intl. J. of Dynamical Systems and Differential Equations     Hybrid Journal   (Followers: 1, SJR: 0.173, h-index: 9)
Intl. J. of Earthquake and Impact Engineering     Hybrid Journal   (Followers: 2)
Intl. J. of Economic Policy in Emerging Economies     Hybrid Journal   (Followers: 3, SJR: 0.228, h-index: 5)
Intl. J. of Economics and Accounting     Hybrid Journal   (Followers: 1)
Intl. J. of Economics and Business Research     Hybrid Journal   (Followers: 5, SJR: 0.102, h-index: 1)
Intl. J. of Education Economics and Development     Hybrid Journal   (Followers: 3, SJR: 0.193, h-index: 2)
Intl. J. of Electric and Hybrid Vehicles     Hybrid Journal   (Followers: 9, SJR: 0.234, h-index: 9)
Intl. J. of Electronic Banking     Hybrid Journal   (Followers: 5)
Intl. J. of Electronic Business     Hybrid Journal   (Followers: 1)
Intl. J. of Electronic Customer Relationship Management     Hybrid Journal   (Followers: 2, SJR: 0.192, h-index: 8)
Intl. J. of Electronic Democracy     Hybrid Journal   (Followers: 1)
Intl. J. of Electronic Finance     Hybrid Journal   (Followers: 4, SJR: 0.2, h-index: 1)
Intl. J. of Electronic Governance     Hybrid Journal   (Followers: 1, SJR: 0.383, h-index: 9)
Intl. J. of Electronic Healthcare     Hybrid Journal   (Followers: 3, SJR: 0.195, h-index: 18)
Intl. J. of Electronic Marketing and Retailing     Hybrid Journal   (Followers: 7, SJR: 0.148, h-index: 7)
Intl. J. of Electronic Security and Digital Forensics     Hybrid Journal   (Followers: 10, SJR: 0.221, h-index: 8)
Intl. J. of Embedded Systems     Hybrid Journal   (Followers: 5, SJR: 0.252, h-index: 9)
Intl. J. of Emergency Management     Hybrid Journal   (Followers: 12, SJR: 0.492, h-index: 17)
Intl. J. of Energy Technology and Policy     Hybrid Journal   (Followers: 7, SJR: 0.131, h-index: 11)
Intl. J. of Engineering Management and Economics     Hybrid Journal   (Followers: 4)
Intl. J. of Engineering Systems Modelling and Simulation     Hybrid Journal   (Followers: 10, SJR: 0.192, h-index: 9)
Intl. J. of Enterprise Network Management     Hybrid Journal   (SJR: 0.118, h-index: 6)
Intl. J. of Entrepreneurial Venturing     Hybrid Journal   (Followers: 1, SJR: 0.213, h-index: 7)
Intl. J. of Entrepreneurship and Innovation Management     Hybrid Journal   (Followers: 26, SJR: 0.238, h-index: 15)
Intl. J. of Entrepreneurship and Small Business     Hybrid Journal   (Followers: 23, SJR: 0.294, h-index: 16)
Intl. J. of Environment and Health     Hybrid Journal   (Followers: 9, SJR: 0.147, h-index: 10)
Intl. J. of Environment and Pollution     Hybrid Journal   (Followers: 6, SJR: 0.241, h-index: 35)
Intl. J. of Environment and Sustainable Development     Hybrid Journal   (Followers: 17, SJR: 0.142, h-index: 14)
Intl. J. of Environment and Waste Management     Hybrid Journal   (Followers: 7, SJR: 0.142, h-index: 11)
Intl. J. of Environment, Workplace and Employment     Hybrid Journal   (Followers: 4)
Intl. J. of Environmental Engineering     Hybrid Journal   (Followers: 6)
Intl. J. of Environmental Policy and Decision Making     Hybrid Journal   (Followers: 8)
Intl. J. of Environmental Technology and Management     Hybrid Journal   (Followers: 1, SJR: 0.13, h-index: 15)
Intl. J. of Exergy     Hybrid Journal   (Followers: 3, SJR: 0.667, h-index: 20)
Intl. J. of Experimental and Computational Biomechanics     Hybrid Journal   (Followers: 8)
Intl. J. of Experimental Design and Process Optimisation     Hybrid Journal   (Followers: 5)
Intl. J. of Export Marketing     Hybrid Journal  
Intl. J. of Financial Engineering and Risk Management     Hybrid Journal   (Followers: 3)
Intl. J. of Financial Innovation in Banking     Hybrid Journal   (Followers: 3)
Intl. J. of Financial Markets and Derivatives     Hybrid Journal   (Followers: 3)
Intl. J. of Financial Services Management     Hybrid Journal   (Followers: 2)
Intl. J. of Food Safety, Nutrition and Public Health     Hybrid Journal   (Followers: 16)
Intl. J. of Forensic Engineering     Hybrid Journal   (Followers: 2)
Intl. J. of Forensic Engineering and Management     Hybrid Journal   (Followers: 3)
Intl. J. of Foresight and Innovation Policy     Hybrid Journal   (Followers: 6, SJR: 0.219, h-index: 14)
Intl. J. of Functional Informatics and Personalised Medicine     Hybrid Journal   (Followers: 5, SJR: 0.101, h-index: 7)
Intl. J. of Fuzzy Computation and Modelling     Hybrid Journal   (Followers: 2)
Intl. J. of Gender Studies in Developing Societies     Hybrid Journal   (Followers: 4)
Intl. J. of Global Energy Issues     Hybrid Journal   (Followers: 8, SJR: 0.18, h-index: 19)
Intl. J. of Global Environmental Issues     Hybrid Journal   (Followers: 3, SJR: 0.149, h-index: 15)
Intl. J. of Global Warming     Hybrid Journal   (Followers: 1, SJR: 0.431, h-index: 10)
Intl. J. of Globalisation and Small Business     Hybrid Journal   (Followers: 11, SJR: 0.293, h-index: 9)
Intl. J. of Granular Computing, Rough Sets and Intelligent Systems     Hybrid Journal   (Followers: 2)
Intl. J. of Green Economics     Hybrid Journal   (Followers: 4, SJR: 0.148, h-index: 10)
Intl. J. of Grid and Utility Computing     Hybrid Journal   (SJR: 0.235, h-index: 8)
Intl. J. of Happiness and Development     Hybrid Journal   (Followers: 6)
Intl. J. of Healthcare Technology and Management     Hybrid Journal   (Followers: 7, SJR: 0.155, h-index: 13)
Intl. J. of Heavy Vehicle Systems     Hybrid Journal   (Followers: 6, SJR: 0.154, h-index: 15)
Intl. J. of High Performance Computing and Networking     Hybrid Journal   (Followers: 4, SJR: 0.362, h-index: 10)
Intl. J. of High Performance Systems Architecture     Hybrid Journal   (Followers: 6, SJR: 0.301, h-index: 7)
Intl. J. of Higher Education and Sustainability     Hybrid Journal   (Followers: 4)
Intl. J. of Hospitality and Event Management     Hybrid Journal   (Followers: 3)
Intl. J. of Human Factors and Ergonomics     Hybrid Journal   (Followers: 17)
Intl. J. of Human Factors Modelling and Simulation     Hybrid Journal   (Followers: 16)
Intl. J. of Human Resources Development and Management     Hybrid Journal   (Followers: 23, SJR: 0.148, h-index: 11)
Intl. J. of Human Rights and Constitutional Studies     Hybrid Journal   (Followers: 12)
Intl. J. of Hydrology Science and Technology     Hybrid Journal   (Followers: 5, SJR: 0.181, h-index: 3)
Intl. J. of Image Mining     Hybrid Journal   (Followers: 1)
Intl. J. of Immunological Studies     Hybrid Journal   (Followers: 1)
Intl. J. of Indian Culture and Business Management     Hybrid Journal   (Followers: 1)
Intl. J. of Industrial and Systems Engineering     Hybrid Journal   (Followers: 9, SJR: 0.433, h-index: 19)
Intl. J. of Industrial Electronics and Drives     Hybrid Journal   (Followers: 4)
Intl. J. of Information and Coding Theory     Hybrid Journal   (Followers: 6)
Intl. J. of Information and Communication Technology     Hybrid Journal   (Followers: 8, SJR: 0.144, h-index: 5)
Intl. J. of Information and Computer Security     Hybrid Journal   (Followers: 19, SJR: 0.134, h-index: 8)
Intl. J. of Information and Decision Sciences     Hybrid Journal   (Followers: 18, SJR: 0.323, h-index: 10)
Intl. J. of Information and Operations Management Education     Hybrid Journal   (Followers: 9)
Intl. J. of Information Privacy, Security and Integrity     Hybrid Journal   (Followers: 29)
Intl. J. of Information Quality     Hybrid Journal   (Followers: 5, SJR: 0.103, h-index: 8)
Intl. J. of Information Systems and Change Management     Hybrid Journal   (Followers: 9, SJR: 0.112, h-index: 8)
Intl. J. of Information Systems and Management     Hybrid Journal   (Followers: 2)
Intl. J. of Information Technology and Management     Hybrid Journal   (Followers: 15, SJR: 0.128, h-index: 11)
Intl. J. of Information Technology, Communications and Convergence     Hybrid Journal   (Followers: 19)

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Journal Cover International Journal of Computational Science and Engineering
  [SJR: 0.34]   [H-I: 12]   [2 followers]  Follow
    
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 1742-7185 - ISSN (Online) 1742-7193
   Published by Inderscience Publishers Homepage  [427 journals]
  • Variable penalty factors: a new GEP automatic clustering algorithm
    • Authors: Yan Chen, Kangshun Li, Haohua Huang
      Pages: 3 - 11
      Abstract: The clustering algorithm is considered as an important and basic method in the field of data mining on interdisciplinary researches. Various problems such as sensitive selection of initial clustering centre, easy to fall into local optimal solution, poor universal search capacity and requiring prior knowledge for determining numbers of clusters still exist in the traditional clustering algorithm. A gene expression programming (GEP) automatic clustering algorithm with variable penalty factors is adopted in this paper, featuring combination of penalty factors and GEP clustering algorithm, no requirements for prior knowledge on the data set, automatic division of clusters and better solution for the impact of isolated points and noise points. The simulation experiment makes further proof of the effectiveness of the algorithm in this paper.
      Keywords: variable penalty factor; gene expression programming; GEP; clustering algorithm
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 1/2 (2017) pp. 3 - 11
      PubDate: 2017-08-21T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.085971
      Issue No: Vol. 15, No. 1/2 (2017)
       
  • A new group search optimiser integrating multiply strategies
    • Authors: Chengwang Xie, Wenjing Chen, Weiwei Yu
      Pages: 12 - 20
      Abstract: Group search optimiser (GSO) is a recently developed heuristic inspired by biological group search resources behaviour. However, it still has some defects such as slow convergence speed and poor accuracy of solution. In order to improve the performance of GSO in solving complex optimisation problems, an opposition-based learning (OBL) and a differential evolution (DE) are integrated into GSO to form a hybrid GSO. In this paper, the strategy of OBL is used to enlarge the search region to facilitate jumping out of the local optimal trap, and the approach of DE is utilised to enhance local search and then improve the accuracy of solution. Comparison experiments based on 13 benchmark test functions have demonstrated that our hybrid GSO performed advantages over the other peer optimisers.
      Keywords: group search optimiser; GSO; opposition-based learning; OBL; differential evolution; hybrid group search optimiser
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 1/2 (2017) pp. 12 - 20
      PubDate: 2017-08-21T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.085973
      Issue No: Vol. 15, No. 1/2 (2017)
       
  • A dynamic search space strategy for swarm intelligence
    • Authors: Shui-ping Zhang, Bi Wang, Xue-jiao Wang
      Pages: 21 - 31
      Abstract: As an appendix which is designed to embed in one of complete swarm intelligence algorithms, a novel strategy named dynamic-search-spaces (DS) is proposed to deal with the premature convergence of those algorithms. For realising the decrement of search space, the differences or the distances between individuals and the global performance are to form a threshold for building the self-adaption system. When the value calculating the rate of those individuals sitting near the global performance reaches a stated percentage, the system is working to readjust the borders of search space by the site of the global performance. The search space will be compressed to close the global performance as the centre. After each readjustment, the re-initialisation to distribute individuals in the whole search space should be achieved to enhance individuals' vitality which moves away from the premature convergence and improves the performance of each individual. Meanwhile, the simpler verifications are provided. The improvements of results are exhibited embedding in the genetic algorithm, the particle swarm optimisation and the differential evolution. Thus, this dynamic search space scheme can be embedded in most swarm intelligence algorithms easily.
      Keywords: swarm intelligence; self-adaption; search space; particle swarm optimisation; PSO
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 1/2 (2017) pp. 21 - 31
      PubDate: 2017-08-21T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.085974
      Issue No: Vol. 15, No. 1/2 (2017)
       
  • Complex splitting of context-aware recommendations
    • Authors: Shuxin Yang, Qiuying Peng, Le Chen
      Pages: 32 - 40
      Abstract: Item splitting is an effective approach to improve the prediction accuracy of contextual recommendations. In this approach, an item is split into two items under two alternative contextual conditions, respectively. In this work, complex splitting is proposed to get more specialised rating data and further improve the accuracy of the recommendations. The key to the approach is to select multiple contextual conditions for splitting the user or item. We translate this into a contextual conditions combinatorial optimisation problem based on a discrete binary particle swarm optimisation algorithm. The item or user is split into two different items or users according to those contextual conditions in optimal combination: one is rated in a context that meets all the contextual conditions of the best combination, and the other one is rated in a context that does not. In this way, more specialised rating data can be obtained, which results in a more accurate recommendation when the data is input into the recommendation algorithm. We evaluate our algorithm using a real-world dataset and the resulting experimental results demonstrate its validity and reliability.
      Keywords: context-aware recommendation; complex splitting; particle swarm optimisation; collaborative filtering
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 1/2 (2017) pp. 32 - 40
      PubDate: 2017-08-21T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.085976
      Issue No: Vol. 15, No. 1/2 (2017)
       
  • MEMS-based seismic intensity instrument for earthquake early warning
    • Authors: Wei Ding, Chengwang Liao, Hao Wang
      Pages: 41 - 48
      Abstract: Micro-electro-mechanical systems (MEMS)-based tri-axial seismometer can be employed to design intensity instrument and construct early warning network. Using average period τ<SUB align="right">c and peak amplitude of displacement P<SUB align="right">d methods, the estimation relationships between seismometer and magnitude can be calculated. This work outlines the algorithm and first-hand experience using low-cost MEMS-based seismometer in seismic intensity instrument. τ<SUB align="right">c and P<SUB align="right">d methods are employed to calculate magnitude estimation and STA/LTA trigger algorithm is used to identify seismic event. A set of simulated earthquake wave experiments on a horizontal vibration table are used to testify the ability of P-wave identification. The results show that the accuracy of P-wave identification and seismic intensity judgement is over 95%, which proves the usability of improving implementations for the MEMS-based seismometer in the earthquake early warning application.
      Keywords: seismic intensity instrument; early warning management; micro-electro-mechanical systems; MEMS; P-wave identification
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 1/2 (2017) pp. 41 - 48
      PubDate: 2017-08-21T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.085978
      Issue No: Vol. 15, No. 1/2 (2017)
       
  • An improved floc image segmentation algorithm based on Otsu and particle
           swarm optimisation
    • Authors: Xin Xie, Huandong Xiong, Jianbin Wang, Nan Jiang, Fengping Hu
      Pages: 49 - 56
      Abstract: Image segmentation algorithm research is of great significance in the process of flocs detection. The paper proposes an improved floc image segmentation algorithm based on particle swarm optimisation (PSO) and Otsu, which takes into account both the motion characteristics of flocs and the real-time requirements of water treatment. Our research process goes as follows. Firstly, grey stretch technique is used to enhance the contrast between the flocs and the background. Then, the segmentation threshold is obtained by using the adaption characteristics of PSO. Finally, our algorithm uses the morphological filtering including the opening and closing operation to handle the segmented flocs image. The purpose is to remove the edge fuzzy zone. Experiments show that the algorithm realises flocs image segmentation accurately and rapidly, which greatly simplifies the calculation of equivalent size and quantity of flocs.
      Keywords: Ostu; particle swarm optimisation; PSO; floc; image segmentation
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 1/2 (2017) pp. 49 - 56
      PubDate: 2017-08-21T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.085979
      Issue No: Vol. 15, No. 1/2 (2017)
       
  • Application of interactive evolutionary strategy in fault-tolerant system
           capable of online self-repairing
    • Authors: Xiaoyan Yang, Yuanxiang Li, Yala Tong
      Pages: 57 - 65
      Abstract: Evolution mechanism is widely used in triple different-structure modular redundant (D-TMR) fault tolerant system to protect different modules and realise online self-repairing. How to enhance the efficiency and diversity of the generated module by evolution strategy is among the most commonly discussed. The paper puts forward a two-stage mutation evolution strategy (TMES) based on improved virtual reconfigurable architecture platform to evolve combination logical circuit. In order to improve the scalability and increase the diversity of the generated circuit, interactive evolution strategy and heterogeneous degree evaluation are introduced, and then interactive TMES (ITMES) and improved ITMES (IITMES) are presented. The proposed schemes are tested with the evolutions of a 2-bit multiplier, a 3-bit multiplier, and a 3-bit full adder. The obtained results demonstrate that IITMES scheme has better average generation and more circuit type of generated successful individual, and has the potential to strengthen the reliability of the D-TMR system.
      Keywords: evolvable hardware; triple different-structure modular redundancy; VRA; interactive evolution strategies
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 1/2 (2017) pp. 57 - 65
      PubDate: 2017-08-21T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.085980
      Issue No: Vol. 15, No. 1/2 (2017)
       
  • Building business process ontology based on concept hierarchy model
    • Authors: Ying Huang, Xianwen He
      Pages: 66 - 73
      Abstract: The agility and efficiency of business processes have great influence on the company's competitiveness. However, current detection of business process management system reveals the problem that it does not satisfy the customer requirements, because there is a lack of sufficient semantic information between business process. This paper proposes an approach for ontology extraction on business process by incorporating concept hierarchy as background knowledge. Incorporating the background knowledge in procedure of the process ontology has two main advantages: 1) background knowledge accelerates the building process, thereby minimising the conversion cost; 2) background knowledge guides the extraction of knowledge, which hides in database. To validate the method given in this paper, we use part of the sales order processes from SAP reference process models to construct business process ontology. The gold standard experiments show using this method can correct an effective construct process ontology.
      Keywords: statistical modelling ontology; business process; concept hierarch model; process ontology
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 1/2 (2017) pp. 66 - 73
      PubDate: 2017-08-21T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.085988
      Issue No: Vol. 15, No. 1/2 (2017)
       
  • Optimised placement of wireless sensor networks by evolutionary algorithm
    • Authors: Kangshun Li, Zhichao Wen, Zhaopeng Wang, Shen Li
      Pages: 74 - 86
      Abstract: In wireless sensor networks, computing the sensor nodes collection that meets the requirements is called the problem of network coverage optimisation for wireless sensor network; also called the problem of minimum connected covering node set. The innovation points of this article are as follows: Firstly, it analyses the deficiencies of traditional evolution algorithm fitness function, puts forward an improved fitness function design scheme, and proves that it has advantage of solving problem on wireless sensor networks coverage optimisation. Secondly, it applies the method of control variables, comparison and analysis of the influence on the various operations and parameters selection in evolution algorithms on the optimisation results and performance, and then points out how to design algorithms to best optimise effect and performance.
      Keywords: wireless sensor network; WSN; evolutionary algorithm; coverage optimisation
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 1/2 (2017) pp. 74 - 86
      PubDate: 2017-08-21T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.085995
      Issue No: Vol. 15, No. 1/2 (2017)
       
  • Multi-objective cluster head election in cluster-based wireless
           sensor networks
    • Authors: Xiaoyu Hong, Ming Tao
      Pages: 87 - 95
      Abstract: Owing to good coverage preservation, cluster-based wireless sensor networks (WSNs) have been widely explored in the context of various potential applications. Yet, selecting the optimal candidates as the cluster heads in clusters that require complete coverage of the monitored area over long periods of time still remains a significant challenge, and needs to be reasonably solved to operate the large-scale WSN systems in an optimal fashion. To address this issue, a multi-objective cluster head election scheme is proposed in this paper, in which, by taking the network coverage and load balance as the optimisation objectives and deducing the objective ranges, cluster head election is conducted as a problem of multi-objectives combination optimisation. And then, by introducing the Metropolis rule of simulated annealing algorithm, an improved particle swarm algorithm is developed to solve this problem, which could restrict the position change of original and new particles in the iteration process and accelerate the convergence speed of the algorithm. The simulation and analytical results are shown to demonstrate the performance on coverage optimisation, and load balance.
      Keywords: multi-objective; cluster head election; cluster; wireless sensor network; WSN
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 1/2 (2017) pp. 87 - 95
      PubDate: 2017-08-21T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.086001
      Issue No: Vol. 15, No. 1/2 (2017)
       
  • A novel chaotic key-based algorithm for still images
    • Authors: Jinglong Zuo, Guilan Yu
      Pages: 96 - 105
      Abstract: The data transmission of still images has to satisfy two objectives, namely, the limited volume reduction of the data for charging the public communication networks and the maximum safety of transmitted information. In order to satisfy the two objectives, this paper proposes a novel chaotic key-based algorithm (NCKBA). Different from recently proposed chaotic keybased algorithm (CKBA), in this algorithm, several steps were applied for enhancement: the key size was increased to 128-bits; the 1D logistic map in the original CKBA was substituted by a piecewise linear chaotic map (PWLCM) to improve the balance property of the chaotic map. Experiments are done under C++, and the results show our algorithm is efficient, secure and greatly improves the compression ratio of the image while maintaining the performance of the encryption algorithm.
      Keywords: JPEG2000; CKBA; NCKBA; still image; scalability; piecewise linear chaotic map; PWLCM; cipher-block chaining; CBC; Sp-network
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 1/2 (2017) pp. 96 - 105
      PubDate: 2017-08-21T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.086003
      Issue No: Vol. 15, No. 1/2 (2017)
       
  • An improved adaptive selection search for block motion estimation
    • Authors: Fu Mo, Dongbo Zhang, E. Liang Chen
      Pages: 106 - 111
      Abstract: Motion estimation has an important effect in H.265 video coding systems because it occupies a large amount of time in encoding system. So the quality of motion search selection affects the entire encoding efficiency directly. In this paper, a novel search algorithm which utilises an adaptive hexagon and small diamond search is proposed to overcome the drawbacks of the traditional block matching selection implemented in most current video coding standards. The adaptive search algorithm is chosen according to the motion strength of the current block. When the block is in active motion, the hexagon search provides an efficient search method; when the block is inactive, the small diamond search is adopted. Experimental simulation results showed that our adaptive search algorithm can speed up the search process with little effect on distortion performance compared with other traditional approaches.
      Keywords: adaptive hexagon search; diamond search; motion estimation; motion strength
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 1/2 (2017) pp. 106 - 111
      PubDate: 2017-08-21T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.086006
      Issue No: Vol. 15, No. 1/2 (2017)
       
  • The development and application of the ontology for tractor fault
           diagnosis
    • Authors: Chunyin Wu, Qing Ouyang, Shouhua Yu, Chengjian Deng, Xiaojuan Mao, Tiansheng Hong
      Pages: 112 - 122
      Abstract: This paper develops an ontology for tractor fault diagnosis, and designs the algorithms for reasoning and explanation; furthermore, it applies the ontology to develop an expert system for tractor fault diagnosis. First of all, the ontology is developed with the method of fault tree analysis, which supports bidirectional reasoning. Then, the algorithm of reasoning is designed based on connected tractor fault trees, which is actually a directed acyclic graph structure in this case. Meanwhile, the algorithm of explanation is designed based on backward reasoning, which could provide explanations for the deduced results. Finally, the ontology-based expert system is designed and implemented with web technologies. The expert system could provide service for tractor fault diagnosis via internet to tractor maintenance personnel and tractor drivers who locate in the wide rural areas in China.
      Keywords: ontology; expert system; tractor; fault diagnosis; fault tree analysis; FTA; web; agricultural machinery; China
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 1/2 (2017) pp. 112 - 122
      PubDate: 2017-08-21T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.086010
      Issue No: Vol. 15, No. 1/2 (2017)
       
  • Research on modified teaching-learning-based optimisation algorithm for
           estimating parameters of Van Genuchten equation
    • Authors: Fahui Gu, Ying Huang, Yue Liu
      Pages: 123 - 129
      Abstract: In this paper, a modified teaching-learning-based optimisation (MTLBO) algorithm is proposed for estimating parameters of Van Genuchten equation. A self-adaptive mutation strategy is used to overcome local convergence of the teaching-learning-based optimisation (TLBO). The proposed method is applied to MATLAB test system and the simulation results are compared with other algorithms which verify the superiority of the proposed method. It shows that the MTLBO algorithm is an effective method for estimating parameters of Van Genuchten equation.
      Keywords: Van Genuchten equation; VGE; modified teaching-learning-based optimisation algorithm; estimating parameters; self-adaptive mutation strategy
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 1/2 (2017) pp. 123 - 129
      PubDate: 2017-08-21T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.086011
      Issue No: Vol. 15, No. 1/2 (2017)
       
  • Temporal dynamic recommendation based on data imputation through
           association analysis
    • Authors: Yuxiang Zhang, Xiayang Wang, Chunjing Xiao, Yu Sun, Yongwei Qiao
      Pages: 130 - 137
      Abstract: As a novel method for modelling user interest drift over time, we explore the session-based temporal dynamic recommendation, in which we impute missing rating in terms of users' association. Firstly, we mine user association groups through association analysis according to users' common preferences. Secondly, the user's consumption history is divided into sessions, and we impute vacant values based on the correlation and occupation of user association groups in each session. Thirdly, we model the user interest drift over time by latent Dirichlet allocation (LDA) in each session and predict user's current interest by an exponential decay function. Finally, we predict ratings on items for active user using neighbour-based collaborative filtering (CF). Experiments on a real dataset show that the proposed framework is more effective than previous methods on several tasks.
      Keywords: recommender system; interest drift; data sparsity; data imputation; association analysis
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 1/2 (2017) pp. 130 - 137
      PubDate: 2017-08-21T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.085966
      Issue No: Vol. 15, No. 1/2 (2017)
       
  • Including category information as supplements in latent semantic analysis
           of Hindi documents
    • Authors: Karthik Krishnamurthi, Vijayapal Reddy Panuganti, Vishnu Vardhan Bulusu
      Pages: 138 - 145
      Abstract: Latent semantic analysis (LSA) is a mathematical model that is used to capture the semantic structure of documents by using the correlations between the textual elements in them. LSA captures the semantic structure very well being independent of external sources of semantics. However, the model's performance increases when it is supplemented with extra information. The work presented in this paper is to modify the model to analyse word correlations in documents by considering the document category information as supplements in the process. This enhancement is called supplemented latent semantic analysis (SLSA). SLSA's performance is empirically evaluated in a document classification application by comparing the accuracies of classification against plain LSA for various term weighting schemes. An increment of 1.14%, 1.30% and 1.63% is observed in the classification accuracies when SLSA is compared with plain LSA for tf, idf and tfidf respectively in the initial term-bydocument matrix.
      Keywords: dimensionality reduction; document classification; latent semantic analysis; LSA; semantic structure; singular value decomposition
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 1/2 (2017) pp. 138 - 145
      PubDate: 2017-08-21T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.085967
      Issue No: Vol. 15, No. 1/2 (2017)
       
  • Fuzzy time series forecasting based on information granule and neural
           network
    • Authors: Lanlan Gu, Hongyue Guo, Xiaodong Liu
      Pages: 146 - 152
      Abstract: Time series forecasting is critical for the research of a fuzzy time series. In this paper, a novel model combined information granule partitioning method with back propagation neural network (BPNN) is proposed to forecast the time series. First, the unequal-dividing method based on information granule is applied to divide the universe of discourse to form the fuzzy sets. Then, we use the fuzzy sets to fuzzify the historical data into labels. Next, a second-order fuzzy logical relationship of the labelled dataset is constructed to train a BPNN to forecast the labels. Finally, the forecasting labels are defuzzified to obtain predictions. The Taiwan Stock Exchange Capitalisation Weighted Stock Index (TAIEX) is used to verify the effectiveness of the proposed model. The results show that the proposed model performs better than existing models according to root mean-square error (RMSE).
      Keywords: fuzzy time series; forecasting; information granule; back propagation neural network; BPNN
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 1/2 (2017) pp. 146 - 152
      PubDate: 2017-08-21T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.085968
      Issue No: Vol. 15, No. 1/2 (2017)
       
  • The analysis and recognition of Chinese temporal expressions based on a
           mixtured model using statistics and rules
    • Authors: Zhao Dandan, Huang Degen, Wang Yuzhe, Wu Qiong, Zhao Ge
      Pages: 153 - 161
      Abstract: As the first step of temporal information understanding, the results of temporal expressions recognition will directly affect further usage of temporal information. For Chinese language, there are many distinct characters both in word morphology and syntax in temporal expressions compared with the Western languages. Classifications and constructions of Chinese temporal expressions were analysed, and an approach for extracting temporal expressions from Chinese texts was presented in this paper. The model comprises of a cascade of rule-based and machine-learning pattern recognition procedures. Conditional random fields (CRFs) were applied to recognise time units rather than time expressions to avoid the boundary localisation problems in Chinese temporal expressions. Rules for the temporal expressions boundary localisation were formulated based on time triggers thesaurus and time affix words thesaurus. The F-measure of temporal expressions identification was 95.93% on the temporal 2010 Chinese corpus. The experiments result showed the validity of the proposed approach.
      Keywords: temporal expressions; TEs; conditional random fields; CRFs; time units; TUs; rules; time trigger; time affix word; Chinese information processing; thesaurus; China
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 1/2 (2017) pp. 153 - 161
      PubDate: 2017-08-21T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.085969
      Issue No: Vol. 15, No. 1/2 (2017)
       
 
 
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