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Publisher: Inderscience Publishers   (Total: 436 journals)

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Showing 1 - 200 of 436 Journals sorted alphabetically
African J. of Accounting, Auditing and Finance     Hybrid Journal   (Followers: 12)
African J. of Economic and Sustainable Development     Hybrid Journal   (Followers: 14)
Afro-Asian J. of Finance and Accounting     Hybrid Journal   (Followers: 8, SJR: 0.195, CiteScore: 0)
American J. of Finance and Accounting     Hybrid Journal   (Followers: 21)
Asian J. of Management Science and Applications     Hybrid Journal   (Followers: 4)
Atoms for Peace: an Intl. J.     Hybrid Journal   (Followers: 3)
Electronic Government, an Intl. J.     Hybrid Journal   (Followers: 16, SJR: 0.424, CiteScore: 1)
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: 10, SJR: 0.595, CiteScore: 1)
European J. of Intl. Management     Hybrid Journal   (Followers: 1, SJR: 0.3, CiteScore: 1)
Global Business and Economics Review     Hybrid Journal   (Followers: 1, SJR: 0.154, CiteScore: 0)
Interdisciplinary Environmental Review     Hybrid Journal   (Followers: 3)
Intl. J. of Abrasive Technology     Hybrid Journal   (Followers: 2, SJR: 0.279, CiteScore: 0)
Intl. J. of Accounting and Finance     Hybrid Journal   (Followers: 15)
Intl. J. of Accounting, Auditing and Performance Evaluation     Hybrid Journal   (Followers: 14, SJR: 0.14, CiteScore: 0)
Intl. J. of Ad Hoc and Ubiquitous Computing     Hybrid Journal   (Followers: 8, SJR: 0.21, CiteScore: 1)
Intl. J. of Adaptive and Innovative Systems     Hybrid Journal   (Followers: 1)
Intl. J. of Additive and Subtractive Materials Manufacturing     Hybrid Journal   (Followers: 5)
Intl. J. of Advanced Intelligence Paradigms     Hybrid Journal   (Followers: 4, SJR: 0.144, CiteScore: 1)
Intl. J. of Advanced Mechatronic Systems     Hybrid Journal   (Followers: 3, SJR: 0.132, CiteScore: 0)
Intl. J. of Advanced Media and Communication     Hybrid Journal   (Followers: 22, SJR: 0.124, CiteScore: 0)
Intl. J. of Advanced Operations Management     Hybrid Journal   (Followers: 8, SJR: 0.163, CiteScore: 0)
Intl. J. of Aerodynamics     Hybrid Journal   (Followers: 31)
Intl. J. of Agent-Oriented Software Engineering     Hybrid Journal   (Followers: 3)
Intl. J. of Agile and Extreme Software Development     Hybrid Journal   (Followers: 6)
Intl. J. of Agile Systems and Management     Hybrid Journal   (Followers: 6, SJR: 0.878, CiteScore: 3)
Intl. J. of Agricultural Resources, Governance and Ecology     Hybrid Journal   (Followers: 2, SJR: 0.152, CiteScore: 0)
Intl. J. of Alternative Propulsion     Hybrid Journal   (Followers: 12)
Intl. J. of Applied Cryptography     Hybrid Journal   (Followers: 10, SJR: 0.455, CiteScore: 3)
Intl. J. of Applied Decision Sciences     Hybrid Journal   (Followers: 1, SJR: 0.275, CiteScore: 1)
Intl. J. of Applied Management Science     Hybrid Journal   (Followers: 4, SJR: 0.229, CiteScore: 0)
Intl. J. of Applied Nonlinear Science     Hybrid Journal   (Followers: 1)
Intl. J. of Applied Pattern Recognition     Hybrid Journal   (Followers: 5)
Intl. J. of Applied Systemic Studies     Hybrid Journal   (SJR: 0.129, CiteScore: 0)
Intl. J. of Arab Culture, Management and Sustainable Development     Hybrid Journal   (Followers: 7)
Intl. J. of Artificial Intelligence and Soft Computing     Hybrid Journal   (Followers: 10)
Intl. J. of Arts and Technology     Hybrid Journal   (Followers: 6, SJR: 0.225, CiteScore: 1)
Intl. J. of Auditing Technology     Hybrid Journal   (Followers: 5)
Intl. J. of Automation and Control     Hybrid Journal   (Followers: 9, SJR: 0.189, CiteScore: 1)
Intl. J. of Automation and Logistics     Hybrid Journal   (Followers: 5)
Intl. J. of Automotive Composites     Hybrid Journal   (Followers: 3)
Intl. J. of Automotive Technology and Management     Hybrid Journal   (Followers: 6, SJR: 0.374, CiteScore: 1)
Intl. J. of Autonomic Computing     Hybrid Journal   (Followers: 2)
Intl. J. of Autonomous and Adaptive Communications Systems     Hybrid Journal   (Followers: 3, SJR: 0.128, CiteScore: 0)
Intl. J. of Aviation Management     Hybrid Journal   (Followers: 5)
Intl. J. of Banking, Accounting and Finance     Hybrid Journal   (Followers: 14, SJR: 0.137, CiteScore: 0)
Intl. J. of Behavioural Accounting and Finance     Hybrid Journal   (Followers: 9)
Intl. J. of Behavioural and Healthcare Research     Hybrid Journal   (Followers: 8)
Intl. J. of Bibliometrics in Business and Management     Hybrid Journal   (Followers: 2)
Intl. J. of Big Data Intelligence     Hybrid Journal   (Followers: 19)
Intl. J. of Bio-Inspired Computation     Hybrid Journal   (Followers: 1, SJR: 0.721, CiteScore: 4)
Intl. J. of Bioinformatics Research and Applications     Hybrid Journal   (Followers: 14, SJR: 0.157, CiteScore: 0)
Intl. J. of Biomechatronics and Biomedical Robotics     Hybrid Journal   (Followers: 4)
Intl. J. of Biomedical Engineering and Technology     Hybrid Journal   (Followers: 4, SJR: 0.205, CiteScore: 1)
Intl. J. of Biomedical Nanoscience and Nanotechnology     Hybrid Journal   (Followers: 6)
Intl. J. of Biometrics     Hybrid Journal   (Followers: 4, SJR: 0.155, CiteScore: 0)
Intl. J. of Biotechnology     Hybrid Journal   (Followers: 5, SJR: 0.269, CiteScore: 1)
Intl. J. of Bonds and Derivatives     Hybrid Journal   (Followers: 1)
Intl. J. of Business and Emerging Markets     Hybrid Journal   (Followers: 2)
Intl. J. of Business and Globalisation     Hybrid Journal   (Followers: 2, SJR: 0.263, CiteScore: 1)
Intl. J. of Business and Systems Research     Hybrid Journal   (Followers: 1, SJR: 0.104, CiteScore: 0)
Intl. J. of Business Competition and Growth     Hybrid Journal   (Followers: 4)
Intl. J. of Business Continuity and Risk Management     Hybrid Journal   (Followers: 14)
Intl. J. of Business Environment     Hybrid Journal   (Followers: 2)
Intl. J. of Business Excellence     Hybrid Journal   (Followers: 3, SJR: 0.274, CiteScore: 1)
Intl. J. of Business Forecasting and Marketing Intelligence     Hybrid Journal   (Followers: 6)
Intl. J. of Business Governance and Ethics     Hybrid Journal   (Followers: 4, SJR: 0.171, CiteScore: 0)
Intl. J. of Business Information Systems     Hybrid Journal   (Followers: 15, SJR: 0.266, CiteScore: 1)
Intl. J. of Business Innovation and Research     Hybrid Journal   (Followers: 10, SJR: 0.28, CiteScore: 1)
Intl. J. of Business Intelligence and Data Mining     Hybrid Journal   (Followers: 30, SJR: 0.249, CiteScore: 2)
Intl. J. of Business Intelligence and Systems Engineering     Hybrid Journal  
Intl. J. of Business Performance and Supply Chain Modelling     Hybrid Journal   (Followers: 17, SJR: 0.18, CiteScore: 0)
Intl. J. of Business Performance Management     Hybrid Journal   (Followers: 7, SJR: 0.197, CiteScore: 1)
Intl. J. of Business Process Integration and Management     Hybrid Journal   (Followers: 12, SJR: 0.149, CiteScore: 1)
Intl. J. of Chinese Culture and Management     Hybrid Journal   (Followers: 4)
Intl. J. of Circuits and Architecture Design     Hybrid Journal   (Followers: 6)
Intl. J. of Cloud Computing     Hybrid Journal   (Followers: 25)
Intl. J. of Cognitive Biometrics     Hybrid Journal   (Followers: 3)
Intl. J. of Cognitive Performance Support     Hybrid Journal   (Followers: 4)
Intl. J. of Collaborative Engineering     Hybrid Journal   (Followers: 1)
Intl. J. of Collaborative Enterprise     Hybrid Journal   (Followers: 1)
Intl. J. of Collaborative Intelligence     Hybrid Journal   (Followers: 2)
Intl. J. of Communication Networks and Distributed Systems     Hybrid Journal   (Followers: 7, SJR: 0.177, CiteScore: 1)
Intl. J. of Comparative Management     Hybrid Journal  
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: 28)
Intl. J. of Computational Biology and Drug Design     Hybrid Journal   (Followers: 1, SJR: 0.231, CiteScore: 1)
Intl. J. of Computational Complexity and Intelligent Algorithms     Hybrid Journal   (Followers: 2)
Intl. J. of Computational Economics and Econometrics     Hybrid Journal   (Followers: 3)
Intl. J. of Computational Intelligence in Bioinformatics and Systems Biology     Hybrid Journal   (Followers: 10)
Intl. J. of Computational Intelligence Studies     Hybrid Journal   (Followers: 3)
Intl. J. of Computational Materials Science and Surface Engineering     Hybrid Journal   (Followers: 6, SJR: 0.135, CiteScore: 0)
Intl. J. of Computational Science and Engineering     Hybrid Journal   (Followers: 2, SJR: 0.373, CiteScore: 1)
Intl. J. of Computational Systems Engineering     Hybrid Journal   (Followers: 1)
Intl. J. of Computational Vision and Robotics     Hybrid Journal   (Followers: 6, SJR: 0.129, CiteScore: 0)
Intl. J. of Computer Aided Engineering and Technology     Hybrid Journal   (Followers: 3, SJR: 0.131, CiteScore: 0)
Intl. J. of Computer Applications in Technology     Hybrid Journal   (Followers: 1, SJR: 0.225, CiteScore: 1)
Intl. J. of Computers in Healthcare     Hybrid Journal   (Followers: 3)
Intl. J. of Computing Science and Mathematics     Hybrid Journal   (Followers: 1, SJR: 0.299, CiteScore: 1)
Intl. J. of Continuing Engineering Education and Life-Long Learning     Hybrid Journal   (Followers: 4, SJR: 0.196, CiteScore: 0)
Intl. J. of Convergence Computing     Hybrid Journal   (Followers: 2)
Intl. J. of Corporate Governance     Hybrid Journal   (Followers: 4)
Intl. J. of Corporate Strategy and Social Responsibility     Hybrid Journal   (Followers: 4)
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   (Followers: 1, SJR: 0.127, CiteScore: 0)
Intl. J. of Critical Infrastructures     Hybrid Journal   (Followers: 2, SJR: 0.173, CiteScore: 1)
Intl. J. of Data Analysis Techniques and Strategies     Hybrid Journal   (Followers: 3, SJR: 0.23, CiteScore: 0)
Intl. J. of Data Mining and Bioinformatics     Hybrid Journal   (Followers: 16, SJR: 0.217, CiteScore: 1)
Intl. J. of Data Mining, Modelling and Management     Hybrid Journal   (Followers: 13, SJR: 0.209, CiteScore: 0)
Intl. J. of Data Science     Hybrid Journal   (Followers: 9)
Intl. J. of Decision Sciences, Risk and Management     Hybrid Journal   (Followers: 10)
Intl. J. of Decision Support Systems     Hybrid Journal   (Followers: 1)
Intl. J. of Design Engineering     Hybrid Journal   (Followers: 12)
Intl. J. of Digital Culture and Electronic Tourism     Hybrid Journal   (Followers: 6)
Intl. J. of Digital Enterprise Technology     Hybrid Journal   (Followers: 1)
Intl. J. of Digital Signals and Smart Systems     Hybrid Journal   (Followers: 1)
Intl. J. of Diplomacy and Economy     Hybrid Journal   (Followers: 5)
Intl. J. of Dynamical Systems and Differential Equations     Hybrid Journal   (Followers: 1, SJR: 0.184, CiteScore: 0)
Intl. J. of Earthquake and Impact Engineering     Hybrid Journal   (Followers: 4)
Intl. J. of Economic Policy in Emerging Economies     Hybrid Journal   (Followers: 2, SJR: 0.134, CiteScore: 1)
Intl. J. of Economics and Accounting     Hybrid Journal   (Followers: 1)
Intl. J. of Economics and Business Research     Hybrid Journal   (Followers: 4, SJR: 0.129, CiteScore: 0)
Intl. J. of Education Economics and Development     Hybrid Journal   (Followers: 5, SJR: 0.156, CiteScore: 0)
Intl. J. of Electric and Hybrid Vehicles     Hybrid Journal   (Followers: 9, SJR: 0.225, CiteScore: 1)
Intl. J. of Electronic Banking     Hybrid Journal   (Followers: 5)
Intl. J. of Electronic Business     Hybrid Journal   (Followers: 1, SJR: 0.24, CiteScore: 0)
Intl. J. of Electronic Customer Relationship Management     Hybrid Journal   (Followers: 2, SJR: 0.148, CiteScore: 0)
Intl. J. of Electronic Democracy     Hybrid Journal   (Followers: 1)
Intl. J. of Electronic Finance     Hybrid Journal   (Followers: 4, SJR: 0.155, CiteScore: 0)
Intl. J. of Electronic Governance     Hybrid Journal   (SJR: 0.142, CiteScore: 1)
Intl. J. of Electronic Healthcare     Hybrid Journal   (Followers: 2, SJR: 0.254, CiteScore: 1)
Intl. J. of Electronic Marketing and Retailing     Hybrid Journal   (Followers: 7, SJR: 0.249, CiteScore: 1)
Intl. J. of Electronic Security and Digital Forensics     Hybrid Journal   (Followers: 9, SJR: 0.137, CiteScore: 0)
Intl. J. of Electronic Transport     Hybrid Journal   (Followers: 7)
Intl. J. of Embedded Systems     Hybrid Journal   (Followers: 5, SJR: 0.48, CiteScore: 1)
Intl. J. of Emergency Management     Hybrid Journal   (Followers: 11, SJR: 0.185, CiteScore: 0)
Intl. J. of Energy Technology and Policy     Hybrid Journal   (Followers: 7, SJR: 0.224, CiteScore: 0)
Intl. J. of Engineering Management and Economics     Hybrid Journal   (Followers: 4)
Intl. J. of Engineering Systems Modelling and Simulation     Hybrid Journal   (Followers: 8, SJR: 0.175, CiteScore: 0)
Intl. J. of Enterprise Network Management     Hybrid Journal   (SJR: 0.118, CiteScore: 0)
Intl. J. of Entrepreneurial Venturing     Hybrid Journal   (Followers: 1, SJR: 0.308, CiteScore: 1)
Intl. J. of Entrepreneurship and Innovation Management     Hybrid Journal   (Followers: 27, SJR: 0.255, CiteScore: 1)
Intl. J. of Entrepreneurship and Small Business     Hybrid Journal   (Followers: 27, SJR: 0.401, CiteScore: 1)
Intl. J. of Environment and Health     Hybrid Journal   (Followers: 5, SJR: 0.181, CiteScore: 0)
Intl. J. of Environment and Pollution     Hybrid Journal   (Followers: 2, SJR: 0.215, CiteScore: 1)
Intl. J. of Environment and Sustainable Development     Hybrid Journal   (Followers: 16, SJR: 0.132, CiteScore: 0)
Intl. J. of Environment and Waste Management     Hybrid Journal   (Followers: 4, SJR: 0.175, CiteScore: 0)
Intl. J. of Environment, Workplace and Employment     Hybrid Journal   (Followers: 5, SJR: 0.117, CiteScore: 0)
Intl. J. of Environmental Engineering     Hybrid Journal   (Followers: 6)
Intl. J. of Environmental Policy and Decision Making     Hybrid Journal   (Followers: 3)
Intl. J. of Environmental Technology and Management     Hybrid Journal   (Followers: 1, SJR: 0.141, CiteScore: 0)
Intl. J. of Exergy     Hybrid Journal   (Followers: 2, SJR: 0.396, CiteScore: 1)
Intl. J. of Experimental and Computational Biomechanics     Hybrid Journal   (Followers: 8)
Intl. J. of Experimental Design and Process Optimisation     Hybrid Journal   (Followers: 6)
Intl. J. of Export Marketing     Hybrid Journal   (Followers: 3)
Intl. J. of Financial Engineering and Risk Management     Hybrid Journal   (Followers: 4)
Intl. J. of Financial Innovation in Banking     Hybrid Journal   (Followers: 3)
Intl. J. of Financial Markets and Derivatives     Hybrid Journal   (Followers: 4)
Intl. J. of Financial Services Management     Hybrid Journal   (Followers: 1)
Intl. J. of Food Safety, Nutrition and Public Health     Hybrid Journal   (Followers: 18)
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: 5, SJR: 0.115, CiteScore: 0)
Intl. J. of Functional Informatics and Personalised Medicine     Hybrid Journal   (Followers: 4)
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: 9, SJR: 0.199, CiteScore: 0)
Intl. J. of Global Environmental Issues     Hybrid Journal   (Followers: 3, SJR: 0.153, CiteScore: 0)
Intl. J. of Global Warming     Hybrid Journal   (Followers: 2, SJR: 0.259, CiteScore: 1)
Intl. J. of Globalisation and Small Business     Hybrid Journal   (Followers: 12, SJR: 0.233, CiteScore: 1)
Intl. J. of Governance and Financial Intermediation     Hybrid Journal  
Intl. J. of Granular Computing, Rough Sets and Intelligent Systems     Hybrid Journal   (Followers: 2)
Intl. J. of Green Economics     Hybrid Journal   (Followers: 4, SJR: 0.209, CiteScore: 0)
Intl. J. of Grid and Utility Computing     Hybrid Journal   (SJR: 0.341, CiteScore: 2)
Intl. J. of Happiness and Development     Hybrid Journal   (Followers: 7)
Intl. J. of Healthcare Technology and Management     Hybrid Journal   (Followers: 7, SJR: 0.139, CiteScore: 0)
Intl. J. of Heavy Vehicle Systems     Hybrid Journal   (Followers: 7, SJR: 0.23, CiteScore: 0)
Intl. J. of High Performance Computing and Networking     Hybrid Journal   (Followers: 4, SJR: 0.428, CiteScore: 1)
Intl. J. of High Performance Systems Architecture     Hybrid Journal   (Followers: 6, SJR: 0.116, CiteScore: 0)
Intl. J. of Higher Education and Sustainability     Hybrid Journal   (Followers: 5)
Intl. J. of Hospitality and Event Management     Hybrid Journal   (Followers: 4)
Intl. J. of Human Factors and Ergonomics     Hybrid Journal   (Followers: 18, SJR: 0.117, CiteScore: 0)
Intl. J. of Human Factors Modelling and Simulation     Hybrid Journal   (Followers: 15)
Intl. J. of Human Resources Development and Management     Hybrid Journal   (Followers: 26, SJR: 0.162, CiteScore: 0)
Intl. J. of Human Rights and Constitutional Studies     Hybrid Journal   (Followers: 14)
Intl. J. of Humanitarian Technology     Hybrid Journal  
Intl. J. of Hydrology Science and Technology     Hybrid Journal   (Followers: 6, SJR: 0.43, CiteScore: 2)
Intl. J. of Hydromechatronics     Hybrid Journal  
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  
Intl. J. of Industrial and Systems Engineering     Hybrid Journal   (Followers: 11, SJR: 0.34, CiteScore: 1)
Intl. J. of Industrial Electronics and Drives     Hybrid Journal   (Followers: 3)
Intl. J. of Information and Coding Theory     Hybrid Journal   (Followers: 6)
Intl. J. of Information and Communication Technology     Hybrid Journal   (Followers: 8, SJR: 0.13, CiteScore: 0)
Intl. J. of Information and Computer Security     Hybrid Journal   (Followers: 17, SJR: 0.141, CiteScore: 0)
Intl. J. of Information and Decision Sciences     Hybrid Journal   (Followers: 10, SJR: 0.233, CiteScore: 1)

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Journal Cover
International Journal of Heavy Vehicle Systems
Journal Prestige (SJR): 0.23
Number of Followers: 7  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1744-232X - ISSN (Online) 1741-5152
Published by Inderscience Publishers Homepage  [436 journals]
  • An investigation on the fatigue performance of austempered ductile iron
           steering knuckle
    • Authors: S. Madhusudhanan, I. Rajendran
      Pages: 249 - 257
      Abstract: Steering knuckles are the important components that connect the wheel in a car to the steering system subjected to time varying load during their life leading to fatigue failure. The study reports on the fatigue performance of the austempered ductile iron (ADI). SG iron can be made up of three compositions: without alloying elements (X), SG + 0.22% (X<SUB align="right">1) and SG + 0.34% (X<SUB align="right">2) of nickel. Three sets of knuckles were heat treated and specimens were cut from steering arm and converted into test sample (tensile and fatigue) form. The tensile test and fatigue test were done using 250 kN universal testing machine (UTM) and axial fatigue machine at constant load condition for different loads, respectively. The corresponding cycle stresses were recorded and S-N curve drawn. The same composition of steering knuckle was used for component level fatigue test at a load of ±4.7 kN constant amplitude mode up to 1 × 10<SUP align="right">7</SUP> cycles, but no damage was found.
      Keywords: steering knuckle; austempering; austempered ductile iron; ADI; SG iron; fatigue
      Citation: International Journal of Heavy Vehicle Systems, Vol. 25, No. 3/4 (2018) pp. 249 - 257
      PubDate: 2018-09-24T23:20:50-05:00
      DOI: 10.1504/IJHVS.2018.094822
      Issue No: Vol. 25, No. 3/4 (2018)
       
  • Parametric analysis of axial flux HUB motor for the electric vehicle in
           rural areas
    • Authors: J. Jency Joseph, T. Aruldoss Albert Victoire, F.T. Josh
      Pages: 258 - 270
      Abstract: Heavy vehicle transportation in rural areas decreases the load factor and the transportation efficiency because of the size of the vehicle. Transportation efficiency in rural areas can be improved by reducing the size of the propulsion system in the electric vehicle. A pancake-shaped axial flux permanent magnet brushless DC motor is proposed here which has the compact size. The finite element method (FEM) and the Matlab/Simulink models have been developed to analyse its performance. A 2.75 kW motor has been designed using Ansys Maxwell to extract the machine parameters such as armature resistance, armature inductance, weight of the stator, rotor and density. The torque-speed characteristics of the motor have been analysed by varying the motor parameters, snubber parameters and load. Optimum performance of the AFPM motor has been obtained at the value of 2.4 Ω of armature resistance and the moment of inertia of 20.8 e<SUP align="right">-3</SUP> kg m<SUP align="right">2</SUP>.
      Keywords: axial flux permanent magnet motor; armature inductance; snubber resistance; electric vehicle
      Citation: International Journal of Heavy Vehicle Systems, Vol. 25, No. 3/4 (2018) pp. 258 - 270
      PubDate: 2018-09-24T23:20:50-05:00
      DOI: 10.1504/IJHVS.2018.094823
      Issue No: Vol. 25, No. 3/4 (2018)
       
  • Automated multimodal background detection and shadow removal process using
           robust principal fuzzy gradient partial equation methods in intelligent
           transportation systems
    • Authors: P. Mohammed Shakeel, N. Arunkumar, Enas Abdulhay
      Pages: 271 - 285
      Abstract: The continuous developments of the computer technologies in the intelligent transportation systems (ITS) place an important role in the various applications such as vehicle detection, traffic control detection and so on. Hence, in this paper we use the robust principal fuzzy subtraction method and gradient partial equation method (RPFGPE) for investigating the multi-modal background detection-subtraction with illumination changes and cast shadow removal method to effectively recognise the vehicle from the video footage. These methods analyse each and every pixel present in the video frame images while analysing the background as well as cast shadow. The effectiveness of the proposed system is evaluated with the help of the experimental results which is compared with the other methods for background subtraction, cast shadow removal with different illumination changes.
      Keywords: ITS; intelligent transportation system; multimodal background subtraction; cast shadow removal; illumination changes; robust principal fuzzy subtraction method; gradient partial equation method
      Citation: International Journal of Heavy Vehicle Systems, Vol. 25, No. 3/4 (2018) pp. 271 - 285
      PubDate: 2018-09-24T23:20:50-05:00
      DOI: 10.1504/IJHVS.2018.094824
      Issue No: Vol. 25, No. 3/4 (2018)
       
  • Anomalies detection from video surveillance using support vector trained
           deep neural network classifier
    • Authors: S. Giriprasad, S. Mohan, S. Gokul
      Pages: 286 - 307
      Abstract: Intelligent video surveillance plays a crucial role in various applications for detecting the abnormal activities. The surveillance system uses many significant technologies for detecting the anomalies in different applications but it fails to manage the accuracy while detecting the anomalies from huge crowd. This paper introduces an effective image processing technology-based classifier for recognising and detecting the abnormality from the crowd effectively. Initially, the videos are captured using the surveillance camera, and the background has been subtracted by the robust background principal analysis method. After extracting the background from the image, the different principal bow sift descriptors are extracted. Subsequently the similar descriptors are grouped using the bee-based collaborative filtering approach. Finally, the anomaly classification is done by support vector machine training-based deep neural networks. Then the excellence of the system is evaluated by using the implementation results and the obtained results are compared with the traditional classifiers.
      Keywords: intelligent video surveillance; robust background principal analysis; principal bow sift descriptors; bee-based collaborative filtering approach; support vector machine training-based deep neural network
      Citation: International Journal of Heavy Vehicle Systems, Vol. 25, No. 3/4 (2018) pp. 286 - 307
      PubDate: 2018-09-24T23:20:50-05:00
      DOI: 10.1504/IJHVS.2018.094825
      Issue No: Vol. 25, No. 3/4 (2018)
       
  • Evaluation of outlier detection algorithms for traffic congestion
           assessment in smart city traffic data from vehicle sensors
    • Authors: Ramona Ruiz Blázquez, Mario Muñoz Organero, Luis Sánchez Fernández
      Pages: 308 - 321
      Abstract: On-board sensors in vehicles are able to capture real-time data representations of variables conditioning the traffic flow. Extracting knowledge by combining data from different vehicles, together with machine learning algorithms, will help both to optimise transportation systems and to maximise the drivers' and passengers' comfort. This paper provides a summary of the most common multivariate outlier detection methods and applies them to data captured from sensor vehicles with the aim to find and identify different abnormal driving conditions like traffic jams. Outlier detection represents an important task in discovering useful and valuable information, as has been proven in numerous researches. This study is based on the combination of outlier detection mechanisms together with data classification methods. The output of the outlier detection phase will then be fed into several classifiers, which have been implemented to assess if the multivariate outliers correspond with traffic congestion situations or not.
      Keywords: multivariate outliers; traffic jams; outlier detection methods; vehicles telemetry; machine learning
      Citation: International Journal of Heavy Vehicle Systems, Vol. 25, No. 3/4 (2018) pp. 308 - 321
      PubDate: 2018-09-24T23:20:50-05:00
      DOI: 10.1504/IJHVS.2018.094826
      Issue No: Vol. 25, No. 3/4 (2018)
       
  • Robust detection and recognition of traffic signs on road panels
    • Authors: S. Gokul, S. Suresh Kumar, S. Giriprasad
      Pages: 322 - 343
      Abstract: Traffic panels provide vital information on roads with the aid of iconic symbols and text strings. Recognising these signs accurately at the right time is crucial for car drivers to ensure safe journey. The automatic visual recognition and classification of the information contained in the panel could be very useful for driver assistance application. In this paper, a method is proposed to identify and to recognise the information contained in the traffic panels, as an application utilising colour space conversion for image acquisition then the colour decomposition and shape model generation using active appearance model (AAM). The traffic panel is detected using character descriptor-based adaptive fuzzy clustering (AFC). Multiframe detection strategy is a simple way of using precision and recall. Finally the prediction accuracy is computed by using massive training artificial neural network (MTANN). The efficiency of the system is evaluated with the help of the MATLAB-based experimental results which are compared with the bag of visual words for text geolocation and recognising symbols and texts (BTG & ST) method and shape and colour (SC)-based traffic sign detection methods in terms of the sensitivity, specificity and recognition rate.
      Keywords: traffic panel; iconic symbols; AAM; active appearance model AFC; adaptive fuzzy clustering; MTANN; massive training artificial neural network
      Citation: International Journal of Heavy Vehicle Systems, Vol. 25, No. 3/4 (2018) pp. 322 - 343
      PubDate: 2018-09-24T23:20:50-05:00
      DOI: 10.1504/IJHVS.2018.094827
      Issue No: Vol. 25, No. 3/4 (2018)
       
  • Mapping the structure and evolution of heavy vehicle research: a
           scientometric analysis and visualisation
    • Authors: V. Venkatraman, N. Arunkumar, Angela Chantre-Astaiza, Ana Isabel Muñoz-Mazón, Laura Fuentes-Moraleda, Mohammed Shahriar Khan
      Pages: 344 - 368
      Abstract: In recent decades the research of heavy vehicles has taken great importance for the development of multiple industries at a commercial level. From the scientific point of view, this led to the need for various studies on this field. This paper analyses the field of heavy vehicles from 1912 to the first quarter of 2017 identifying the patterns from the publications, including the most important authors and institutions; high-frequency categories and keywords; journal and author contributions; most important research topics and evolution of the field based on cluster analysis. A scientometric approach based on bibliometric analysis is employed. Records from WOS and Scopus have been gathered using two bibliometric tools CiteSpace and SciMAT.
      Keywords: heavy vehicles; WOS; web of science; Scopus; co-citation; CiteSpace; SciMAT; visualisation research; research trends; bibliometric; review
      Citation: International Journal of Heavy Vehicle Systems, Vol. 25, No. 3/4 (2018) pp. 344 - 368
      PubDate: 2018-09-24T23:20:50-05:00
      DOI: 10.1504/IJHVS.2018.094829
      Issue No: Vol. 25, No. 3/4 (2018)
       
  • Location optimisation for road side unit deployment and maximising
           communication probability in multilane highway
    • Authors: J. Naskath, B. Paramasivan
      Pages: 369 - 390
      Abstract: Quick advancements in wireless and mobile communications have made an outlook change in human life styles. Vehicular ad hoc network (VANET) is an emerging and challenging technology in mobile communication. Vehicle to infrastructure communication is a cornerstone for providing a wide plethora of VANET. To offer an acceptable quality of service, this work considers placing the road side unit (RSU) appropriately for efficient communication. This paper proposes to provide the desired geometry based coverage strategy using Voronoi sweep line algorithm for partitioning the target area and uses the genetic approach for optimal location identification for successful deployment of RSU. The proposed work will further extend to enabling the better connectivity using some handoff mechanisms. Simulation results illustrate that the proposed coverage protocol works surpass in highway vehicular networks.
      Keywords: VANET; vehicular ad hoc network; deployment; RSU; road side unit; Voronoi sweep line algorithm; genetic algorithm; smart PC; LORDMC
      Citation: International Journal of Heavy Vehicle Systems, Vol. 25, No. 3/4 (2018) pp. 369 - 390
      PubDate: 2018-09-24T23:20:50-05:00
      DOI: 10.1504/IJHVS.2018.094828
      Issue No: Vol. 25, No. 3/4 (2018)
       
  • Adaptive mobility-based intelligent decision-making system for driver
           behaviour prediction with motion nano sensor in VANET
    • Authors: S. Cloudin, P. Mohan Kumar
      Pages: 391 - 405
      Abstract: Vehicular ad-hoc network (VANET) offers a dedicated short-range wireless communication among vehicles on the road and to the road side unit. This paper contributes towards an intelligent decision-making system based on the driver behaviour under normal, reckless, fatigue and drunken conditions, and in developing a mobility model to adapt these support vector machine (SVM) classifier behaviours. Attributes such as speed, accelerometer, alcohol and eye blink values are fed to the mega trend diffusion (MTD) function and the attributes are merged and they are classified using SVM. The basic decisions are made by fuzzy interference system (FIS) which is used to find the driver behaviour and is predicted and appropriate decision will be taken for SVM classification. According to the behaviour of the driver, the speed and direction of the vehicle will be affected and it will be reflected in the mobility pattern of other vehicles. In this work, motion nano sensor was used to sense the values to control the driver behaviour.
      Keywords: VANET; driver behaviour; SVM; support vector machine; MTD; mega trend diffusion; FIS; fuzzy interference system; motion nano sensor
      Citation: International Journal of Heavy Vehicle Systems, Vol. 25, No. 3/4 (2018) pp. 391 - 405
      PubDate: 2018-09-24T23:20:50-05:00
      DOI: 10.1504/IJHVS.2018.094830
      Issue No: Vol. 25, No. 3/4 (2018)
       
  • Corrosion, adhesion and erosion study of MZ and ML system using thermal
           plasma
    • Authors: B. Shreeram, I. Rajendran
      Pages: 406 - 418
      Abstract: Mullite processed through thermal plasma has been identified as promising material in ceramic industry for thermal barrier coating (TBC) applications. Addition of ZrO<SUB align="right">2 as impurities reduces the fracture toughness property of mullite coatings. In the current study, effort has been taken to compare the performance of La<SUB align="right">2O<SUB align="right">3 as an equivalent material to ZrO<SUB align="right">2. Here MZ (Mullite-ZrO<SUB align="right">2) and ML composites (Mullite-La<SUB align="right">2O<SUB align="right">3) have been prepared in different weight proportions of 10%, 20% and 30%. The MZ and ML composites are ball milled for 2 hr and sprayed over AISI 1045 steel specimen at 15 cm and 20 cm spray distance using 15kW thermal plasma torch. The MZ and ML coated samples were studied for SEM, XRD, adhesion test, roughness, wear, sliding test and coating thickness. Though the ML material has not been tested for exact application, but the study reveals that La<SUB align="right">2O<SUB align="right">3 can be used as cost effective material for TBC applications.
      Keywords: mullite; TBC; thermal plasma spraying; lanthanum oxide; zircon oxide
      Citation: International Journal of Heavy Vehicle Systems, Vol. 25, No. 3/4 (2018) pp. 406 - 418
      PubDate: 2018-09-24T23:20:50-05:00
      DOI: 10.1504/IJHVS.2018.094831
      Issue No: Vol. 25, No. 3/4 (2018)
       
  • Evaluation of mechanical performance of friction welded AISI304L grade
           stainless steel joints
    • Authors: K. Umanath, K. Palanikumar
      Pages: 419 - 429
      Abstract: Austenitic stainless steel (ASS) rods of AISI304L Grade when welded have the significant issue of hot breaking and loss of erosion resistance. To reduce these problems the solid state friction welding is the best way to weld the AISI304L alloy and required testing is needed for the further process. In this research work, friction welded AISI304L rods of 10 mm diameter have been used for conducting the experimental testing of tensile strength (TS), fatigue strength (FS), hardness strength and temperature transformation during the friction welding. The results obtained show that the maximum tensile strength of the friction welded joint is 532 MPa, which is equivalent to 94.16% of the base metals tensile strength. The fatigue strength of the notched specimens is lower than un-notched specimens due to the high crack propagation in notched specimens.
      Keywords: AISI304L alloys; friction welding; temperature analysis; fatigue strength; stainless steel
      Citation: International Journal of Heavy Vehicle Systems, Vol. 25, No. 3/4 (2018) pp. 419 - 429
      PubDate: 2018-09-24T23:20:50-05:00
      DOI: 10.1504/IJHVS.2018.094832
      Issue No: Vol. 25, No. 3/4 (2018)
       
  • Investigation of mechanical, morphological studies and electrochemical
           micro holing process parameters on Al6061-SiC-Gr hybrid metal matrix
           composites
    • Authors: P. Satishkumar, N. Natarajan, S. Dharmalingam, P. Pitchandi
      Pages: 430 - 441
      Abstract: This paper investigates a methodology for the optimisation of the electrochemical machining parameters on micro holing of Al6061+ (6wt % SiC + 4wt % Gr) hybrid composites. The analysis of variance and Taguchi methodology (L27 orthogonal array) are used to study the influence of ECMM machining parameters such as frequency, machining voltage, electrolyte concentration, on the MRR and OC. In this present work Al6061 is taken as main matrix material combined with silicon carbide and graphite of size 15-30 μm. Composite materials Al6061 + 6wt % SiC, Al6061+ 4wt % Gr and hybrid composite material Al6061 + (6wt % SiC + 4wt % Gr) is achieved by a stir casting method. The ductility and strength of this material was increased by using stir casting method with combined SiC. The microstructure of this system reveals the distribution of SiC and Gr in the matrix system.
      Keywords: Al6061; graphite; silicon carbide; stir casting; ECMM; electrochemical micromachining; mechanical properties; MRR; material removal rate; OC; overcut; Taguchi methodology
      Citation: International Journal of Heavy Vehicle Systems, Vol. 25, No. 3/4 (2018) pp. 430 - 441
      PubDate: 2018-09-24T23:20:50-05:00
      DOI: 10.1504/IJHVS.2018.094836
      Issue No: Vol. 25, No. 3/4 (2018)
       
  • An experimental investigation on the performance of a CI engine when using
           LTC with a blend of diesel, biodiesel and ethanol
    • Authors: R.T. Sarath Babu, M. Kannan
      Pages: 442 - 454
      Abstract: There is a rising concentration in many different countries to look for proper alternative fuels that are environment friendly. Vegetable oils are close to the properties of diesel fuels. In this study, Mahua oil (Madhuca indica) is transesterified with methanol using sodium hydroxide (NaOH) as a catalyst to obtain Mahua oil methyl ester. The level of pollutants such as NO<SUB align="right">x and particulates present in the exhaust gas of the diesel engine is high. The present study is mainly aimed at reducing emission level by way of using bio-diesel as fuel. In this study low temperature combustion method (LTC) is employed by using exhaust gas recirculation technique (EGR) and tests performed with fuels consisting of 20% biodiesel, and 5% ethanol blended with diesel. The work is carried out in two phases. One with EGR and the other without EGR. 30% of exhaust gas is used for conducting experiments. It is inferred from the study that the pollutant level in the exhaust is significantly reduced and in addition to it, the efficiency of the engine is also increased.
      Keywords: LTC; low temperature combustion; bio-diesel; EGR; exhaust gas recirculation; ethanol; Mahua oil
      Citation: International Journal of Heavy Vehicle Systems, Vol. 25, No. 3/4 (2018) pp. 442 - 454
      PubDate: 2018-09-24T23:20:50-05:00
      DOI: 10.1504/IJHVS.2018.094837
      Issue No: Vol. 25, No. 3/4 (2018)
       
  • Research on vehicle location-distribution problem based on uncertain
           demand and low carbon emission
    • Authors: Pei Wang, Xiaodong Zhang, Han Boling, Lang Maoxiang
      Pages: 455 - 484
      Abstract: Global warming is a major problem and challenge faced with humankind in the 21st century, and CO<SUB align="right">2 produced by anthropogenic activities is the main reason for exacerbating the greenhouse effect. We take location-distribution problem as a research object in this paper. This problem should combine with uncertain demand and carbon emission to conform to reality. In this paper, a bi-objective mathematical model, including the objectives of minimum cost and carbon emission, was established. Methods for measuring carbon emission quantitatively from plants and distribution were proposed. Constraints of the model take uncertain demand into account, and scenario analysis method was used to deal with uncertain demands. Finally, the validity of the model was verified by an example. The results show that the greater the uncertainty of demand is, the more cost an enterprise should pay for resources to meet customers' needs, resulting in more carbon emission.
      Keywords: location-distribution problem; bi-objective model; uncertain demand; carbon emission; scenario analysis
      Citation: International Journal of Heavy Vehicle Systems, Vol. 25, No. 3/4 (2018) pp. 455 - 484
      PubDate: 2018-09-24T23:20:50-05:00
      DOI: 10.1504/IJHVS.2018.094834
      Issue No: Vol. 25, No. 3/4 (2018)
       
  • Secure and compact implementation of optimized Montgomery multiplier based
           elliptic curve cryptography on FPGA with road vehicular traffic collecting
           protocol for VANET application
    • Authors: S. Baskar, V.R. Sarma Dhulipala
      Pages: 485 - 497
      Abstract: Nowadays, vehicular communication plays a crucial role in vehicular adhoc networks (VANET) because it helps to gather several details such as traffic, accident, vehicle identification etc. This paper introduces the road vehicular traffic collecting (RVTC) protocol for collecting the traffic information on roadside units. The collected information is transmitted to the users via the message. The main issue present in the communication process is security which leads to reduce the entire vehicular communication process and consumes high delay, energy and time. For overcoming these issues, optimized Montgomery multiplier implemented on Elliptic Curve Cryptography (ECC) is used and transmitted information has been encrypted by adding the carry select adder (CSLA) based modular operation process in Montgomery multiplier which reduces area overhead and information confidentiality with high security by consuming low energy. The efficiency of the system is evaluated through simulation results and targeted on Altera DE-2 FPGA (field programmable gate array).
      Keywords: VANET; vehicular adhoc networks; road vehicular traffic collecting protocol; optimized Montgomery multiplier based elliptic curve cryptography; CSLA; carry select adder
      Citation: International Journal of Heavy Vehicle Systems, Vol. 25, No. 3/4 (2018) pp. 485 - 497
      PubDate: 2018-09-24T23:20:50-05:00
      DOI: 10.1504/IJHVS.2018.094835
      Issue No: Vol. 25, No. 3/4 (2018)
       
  • Investigation of energy availability for vapour absorption refrigeration
           system from engine exhaust
    • Authors: A. Balasubramanian, J. Venkatesan, G. Nagarajan, B. Gautham
      Pages: 498 - 507
      Abstract: Today, automobiles use the technology of vapour compression system to run the air conditioning system that is required to cool the passengers and keep them in an optimal temperature range. However the rising fuel cost and the load limit on the combustion engines prove to be disadvantages. Thermal efficiency of internal combustion (IC) engine is about 30-40% and exhaust gases carry a significant amount of heat as waste. If the heat carried away by the exhaust gases is trapped and converted into usable energy, the overall efficiency of an engine can be improved. The present work is aimed at recovering the waste heat which is used for running the automotive air conditioner working on vapour absorption refrigeration (VAR) system replacing the vapour compression system. The generator of VAR is made to work on heat carried away by engine exhaust which will improve the overall efficiency of the IC engine.
      Keywords: waste heat; generator; VAR; vapour absorption refrigeration; triple fluid; exhaust gas
      Citation: International Journal of Heavy Vehicle Systems, Vol. 25, No. 3/4 (2018) pp. 498 - 507
      PubDate: 2018-09-24T23:20:50-05:00
      DOI: 10.1504/IJHVS.2018.094833
      Issue No: Vol. 25, No. 3/4 (2018)
       
  • Optimal design of passive suspension system of a 6 × 6 multi-wheeled
           all-terrain vehicle using genetic algorithm
    • Authors: Mahmoud Mohsen, Hisham Kamel, Alhossein Mostafa Sharaf, Samir Mohamed El-Demerdash
      Pages: 508 - 533
      Abstract: This paper presents the optimal design of passive suspension systems of a 6 × 6 military armoured vehicle including driver seat in order to improve ride quality. Based on seven degrees of freedom half vehicle model, a genetic algorithm (GA) is applied to identify the optimal suspension design parameters. The problem is formulated and solved once as a single objective problem to find best ride comfort and another as a multi-objective one to achieve optimum ride and dynamic performance. A substantial improvement was accomplished in the vehicle's ride performance as well as dynamic tyre loads (DTLs). An innovative design tool is presented where data from the Pareto front was used in regression analysis to fit an approximate model that can predict optimum ride comfort in terms of front and rear suspension working spaces (SWSs). This simple model enables the designer to find insightful and meaningful relations.
      Keywords: vehicle dynamics; ride comfort; genetic algorithm; suspension optimisation
      Citation: International Journal of Heavy Vehicle Systems, Vol. 25, No. 3/4 (2018) pp. 508 - 533
      PubDate: 2018-09-24T23:20:50-05:00
      DOI: 10.1504/IJHVS.2018.094821
      Issue No: Vol. 25, No. 3/4 (2018)
       
 
 
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