Publisher: Inderscience Publishers   (Total: 449 journals)

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Showing 201 - 400 of 449 Journals sorted alphabetically
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: 3)
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: 16, SJR: 0.141, CiteScore: 0)
Intl. J. of Information and Decision Sciences     Hybrid Journal   (Followers: 10, SJR: 0.233, CiteScore: 1)
Intl. J. of Information and Operations Management Education     Hybrid Journal   (Followers: 8)
Intl. J. of Information Privacy, Security and Integrity     Hybrid Journal   (Followers: 27)
Intl. J. of Information Quality     Hybrid Journal   (Followers: 3, SJR: 0.111, CiteScore: 0)
Intl. J. of Information Systems and Change Management     Hybrid Journal   (Followers: 12, SJR: 0.141, CiteScore: 0)
Intl. J. of Information Systems and Management     Hybrid Journal   (Followers: 4)
Intl. J. of Information Technology and Management     Hybrid Journal   (Followers: 12, SJR: 0.12, CiteScore: 0)
Intl. J. of Information Technology, Communications and Convergence     Hybrid Journal   (Followers: 16)
Intl. J. of Innovation and Learning     Hybrid Journal   (Followers: 25, SJR: 0.26, CiteScore: 1)
Intl. J. of Innovation and Regional Development     Hybrid Journal   (Followers: 8)
Intl. J. of Innovation and Sustainable Development     Hybrid Journal   (Followers: 11, SJR: 0.271, CiteScore: 1)
Intl. J. of Innovation in Education     Hybrid Journal   (Followers: 9)
Intl. J. of Innovative Computing and Applications     Hybrid Journal   (Followers: 3, SJR: 0.144, CiteScore: 1)
Intl. J. of Instrumentation Technology     Hybrid Journal   (Followers: 6)
Intl. J. of Integrated Supply Management     Hybrid Journal   (Followers: 4, SJR: 0.263, CiteScore: 1)
Intl. J. of Intellectual Property Management     Hybrid Journal   (Followers: 30, SJR: 0.101, CiteScore: 0)
Intl. J. of Intelligence and Sustainable Computing     Hybrid Journal   (Followers: 3)
Intl. J. of Intelligent Defence Support Systems     Hybrid Journal   (Followers: 5)
Intl. J. of Intelligent Engineering Informatics     Hybrid Journal  
Intl. J. of Intelligent Enterprise     Hybrid Journal   (Followers: 1, SJR: 0.138, CiteScore: 0)
Intl. J. of Intelligent Information and Database Systems     Hybrid Journal   (Followers: 4, SJR: 0.11, CiteScore: 0)
Intl. J. of Intelligent Internet of Things Computing     Hybrid Journal   (Followers: 3)
Intl. J. of Intelligent Machines and Robotics     Hybrid Journal   (Followers: 1)
Intl. J. of Intelligent Systems Design and Computing     Hybrid Journal  
Intl. J. of Intelligent Systems Technologies and Applications     Hybrid Journal   (Followers: 2, SJR: 0.152, CiteScore: 0)
Intl. J. of Intercultural Information Management     Hybrid Journal   (Followers: 12)
Intl. J. of Internet and Enterprise Management     Hybrid Journal   (Followers: 1)
Intl. J. of Internet Manufacturing and Services     Hybrid Journal   (Followers: 1, SJR: 0.118, CiteScore: 0)
Intl. J. of Internet Marketing and Advertising     Hybrid Journal   (Followers: 21, SJR: 0.223, CiteScore: 1)
Intl. J. of Internet of Things and Cyber-Assurance     Hybrid Journal  
Intl. J. of Internet Protocol Technology     Hybrid Journal   (Followers: 2, SJR: 0.139, CiteScore: 1)
Intl. J. of Internet Technology and Secured Transactions     Hybrid Journal   (Followers: 8, SJR: 0.217, CiteScore: 0)
Intl. J. of Inventory Research     Hybrid Journal   (Followers: 2)
Intl. J. of Islamic Marketing and Branding     Hybrid Journal   (Followers: 6)
Intl. J. of Knowledge and Learning     Hybrid Journal   (Followers: 4, SJR: 0.103, CiteScore: 0)
Intl. J. of Knowledge and Web Intelligence     Hybrid Journal   (Followers: 41)
Intl. J. of Knowledge Engineering and Data Mining     Hybrid Journal   (Followers: 41)
Intl. J. of Knowledge Engineering and Soft Data Paradigms     Hybrid Journal   (Followers: 2)
Intl. J. of Knowledge Management in Tourism and Hospitality     Hybrid Journal   (Followers: 3)
Intl. J. of Knowledge Management Studies     Hybrid Journal   (Followers: 33, SJR: 0.111, CiteScore: 0)
Intl. J. of Knowledge-Based Development     Hybrid Journal   (Followers: 5, SJR: 0.278, CiteScore: 1)
Intl. J. of Lean Enterprise Research     Hybrid Journal   (Followers: 2)
Intl. J. of Learning and Change     Hybrid Journal   (Followers: 14, SJR: 0.189, CiteScore: 0)
Intl. J. of Learning and Intellectual Capital     Hybrid Journal   (Followers: 2, SJR: 0.228, CiteScore: 1)
Intl. J. of Learning Technology     Hybrid Journal   (Followers: 9, SJR: 0.184, CiteScore: 1)
Intl. J. of Leisure and Tourism Marketing     Hybrid Journal   (Followers: 20)
Intl. J. of Liability and Scientific Enquiry     Hybrid Journal   (Followers: 1)
Intl. J. of Lifecycle Performance Engineering     Hybrid Journal   (Followers: 1)
Intl. J. of Logistics Economics and Globalisation     Hybrid Journal   (Followers: 6)
Intl. J. of Logistics Systems and Management     Hybrid Journal   (Followers: 13, SJR: 0.371, CiteScore: 1)
Intl. J. of Low Radiation     Hybrid Journal   (Followers: 1, SJR: 0.115, CiteScore: 0)
Intl. J. of Machine Intelligence and Sensory Signal Processing     Hybrid Journal   (Followers: 5)
Intl. J. of Machining and Machinability of Materials     Hybrid Journal   (Followers: 6, SJR: 0.408, CiteScore: 1)
Intl. J. of Management and Decision Making     Hybrid Journal   (Followers: 7, SJR: 0.233, CiteScore: 1)
Intl. J. of Management and Enterprise Development     Hybrid Journal   (SJR: 0.164, CiteScore: 0)
Intl. J. of Management and Network Economics     Hybrid Journal  
Intl. J. of Management Concepts and Philosophy     Hybrid Journal   (Followers: 3)
Intl. J. of Management Development     Hybrid Journal   (Followers: 13)
Intl. J. of Management in Education     Hybrid Journal   (Followers: 8, SJR: 0.209, CiteScore: 0)
Intl. J. of Management Practice     Hybrid Journal   (Followers: 4, SJR: 0.127, CiteScore: 0)
Intl. J. of Managerial and Financial Accounting     Hybrid Journal   (Followers: 9, SJR: 0.195, CiteScore: 1)
Intl. J. of Manufacturing Research     Hybrid Journal   (Followers: 8, SJR: 0.411, CiteScore: 1)
Intl. J. of Manufacturing Technology and Management     Hybrid Journal   (Followers: 9, SJR: 0.159, CiteScore: 0)
Intl. J. of Markets and Business Systems     Hybrid Journal  
Intl. J. of Masonry Research and Innovation     Hybrid Journal   (Followers: 1)
Intl. J. of Mass Customisation     Hybrid Journal  
Intl. J. of Materials and Product Technology     Hybrid Journal   (Followers: 3, SJR: 0.23, CiteScore: 1)
Intl. J. of Materials and Structural Integrity     Hybrid Journal   (Followers: 8, SJR: 0.369, CiteScore: 0)
Intl. J. of Materials Engineering Innovation     Hybrid Journal   (Followers: 2, SJR: 0.178, CiteScore: 0)
Intl. J. of Mathematical Modelling and Numerical Optimisation     Hybrid Journal   (Followers: 6, SJR: 0.157, CiteScore: 0)
Intl. J. of Mathematics in Operational Research     Hybrid Journal   (Followers: 2, SJR: 0.322, CiteScore: 1)
Intl. J. of Mechanisms and Robotic Systems     Hybrid Journal   (Followers: 2)
Intl. J. of Mechatronics and Automation     Hybrid Journal   (Followers: 6, SJR: 0.129, CiteScore: 1)
Intl. J. of Mechatronics and Manufacturing Systems     Hybrid Journal   (Followers: 2, SJR: 0.199, CiteScore: 0)
Intl. J. of Medical Engineering and Informatics     Hybrid Journal   (Followers: 4, SJR: 0.181, CiteScore: 0)
Intl. J. of Metadata, Semantics and Ontologies     Hybrid Journal   (Followers: 11, SJR: 0.173, CiteScore: 1)
Intl. J. of Metaheuristics     Hybrid Journal   (Followers: 1)
Intl. J. of Microstructure and Materials Properties     Hybrid Journal   (Followers: 8, SJR: 0.148, CiteScore: 0)
Intl. J. of Migration and Border Studies     Hybrid Journal   (Followers: 17)
Intl. J. of Migration and Residential Mobility     Hybrid Journal   (Followers: 10)
Intl. J. of Mining and Mineral Engineering     Hybrid Journal   (Followers: 8, SJR: 0.232, CiteScore: 1)
Intl. J. of Mobile Communications     Hybrid Journal   (Followers: 9, SJR: 0.665, CiteScore: 2)
Intl. J. of Mobile Learning and Organisation     Hybrid Journal   (Followers: 18, SJR: 0.85, CiteScore: 2)
Intl. J. of Mobile Network Design and Innovation     Hybrid Journal   (Followers: 2, SJR: 0.123, CiteScore: 1)
Intl. J. of Modelling in Operations Management     Hybrid Journal   (Followers: 4)
Intl. J. of Modelling, Identification and Control     Hybrid Journal   (Followers: 1, SJR: 0.401, CiteScore: 2)
Intl. J. of Monetary Economics and Finance     Hybrid Journal   (Followers: 9, SJR: 0.237, CiteScore: 1)
Intl. J. of Multicriteria Decision Making     Hybrid Journal   (Followers: 8, SJR: 0.181, CiteScore: 0)
Intl. J. of Multimedia Intelligence and Security     Hybrid Journal   (Followers: 9)
Intl. J. of Multinational Corporation Strategy     Hybrid Journal  
Intl. J. of Multivariate Data Analysis     Hybrid Journal   (Followers: 2)
Intl. J. of Nano and Biomaterials     Hybrid Journal   (Followers: 9, SJR: 0.111, CiteScore: 0)
Intl. J. of Nanomanufacturing     Hybrid Journal   (SJR: 0.17, CiteScore: 0)
Intl. J. of Nanoparticles     Hybrid Journal   (Followers: 1, SJR: 0.167, CiteScore: 1)
Intl. J. of Nanotechnology     Hybrid Journal   (Followers: 8, SJR: 0.202, CiteScore: 0)
Intl. J. of Network Science     Hybrid Journal   (Followers: 3)
Intl. J. of Networking and Virtual Organisations     Hybrid Journal   (Followers: 14, SJR: 0.163, CiteScore: 0)
Intl. J. of Nonlinear Dynamics and Control     Hybrid Journal   (Followers: 5)
Intl. J. of Nuclear Desalination     Hybrid Journal   (Followers: 1)
Intl. J. of Nuclear Energy Science and Technology     Hybrid Journal   (Followers: 5, SJR: 0.246, CiteScore: 0)
Intl. J. of Nuclear Governance, Economy and Ecology     Hybrid Journal   (Followers: 1)
Intl. J. of Nuclear Hydrogen Production and Applications     Hybrid Journal   (Followers: 1)
Intl. J. of Nuclear Knowledge Management     Hybrid Journal   (Followers: 1)
Intl. J. of Nuclear Law     Hybrid Journal   (Followers: 5)
Intl. J. of Nuclear Safety and Security     Hybrid Journal   (Followers: 1)
Intl. J. of Ocean Systems Management     Hybrid Journal   (Followers: 3)
Intl. J. of Oil, Gas and Coal Technology     Hybrid Journal   (Followers: 9, SJR: 0.265, CiteScore: 1)
Intl. J. of Operational Research     Hybrid Journal   (Followers: 3, SJR: 0.467, CiteScore: 1)
Intl. J. of Organisational Design and Engineering     Hybrid Journal   (Followers: 5)
Intl. J. of Petroleum Engineering     Hybrid Journal   (Followers: 2)
Intl. J. of Planning and Scheduling     Hybrid Journal   (Followers: 3)
Intl. J. of Pluralism and Economics Education     Hybrid Journal  
Intl. J. of Portfolio Analysis and Management     Hybrid Journal   (Followers: 4)
Intl. J. of Postharvest Technology and Innovation     Hybrid Journal   (Followers: 3, SJR: 0.144, CiteScore: 0)
Intl. J. of Power and Energy Conversion     Hybrid Journal   (Followers: 3, SJR: 0.132, CiteScore: 0)
Intl. J. of Power Electronics     Hybrid Journal   (Followers: 25, SJR: 0.233, CiteScore: 1)
Intl. J. of Powertrains     Hybrid Journal   (Followers: 2)
Intl. J. of Precision Technology     Hybrid Journal   (Followers: 1)
Intl. J. of Private Law     Hybrid Journal   (Followers: 10, SJR: 0.101, CiteScore: 0)
Intl. J. of Process Management and Benchmarking     Hybrid Journal   (Followers: 2, SJR: 0.314, CiteScore: 1)
Intl. J. of Process Systems Engineering     Hybrid Journal   (Followers: 2)
Intl. J. of Procurement Management     Hybrid Journal   (Followers: 12, SJR: 0.331, CiteScore: 1)
Intl. J. of Product Development     Hybrid Journal   (Followers: 1, SJR: 0.209, CiteScore: 1)
Intl. J. of Product Lifecycle Management     Hybrid Journal   (Followers: 1, SJR: 0.328, CiteScore: 1)
Intl. J. of Productivity and Quality Management     Hybrid Journal   (Followers: 7, SJR: 0.352, CiteScore: 1)
Intl. J. of Project Organisation and Management     Hybrid Journal   (Followers: 19, SJR: 0.273, CiteScore: 1)
Intl. J. of Public Law and Policy     Hybrid Journal   (Followers: 12, SJR: 0.108, CiteScore: 0)
Intl. J. of Public Policy     Hybrid Journal   (Followers: 4, SJR: 0.128, CiteScore: 0)
Intl. J. of Public Sector Performance Management     Hybrid Journal   (Followers: 11, SJR: 0.142, CiteScore: 0)
Intl. J. of Qualitative Research in Services     Hybrid Journal   (Followers: 4)
Intl. J. of Quality and Innovation     Hybrid Journal   (Followers: 6)
Intl. J. of Quality Engineering and Technology     Hybrid Journal   (Followers: 4, SJR: 0.134, CiteScore: 0)
Intl. J. of Quantitative Research in Education     Hybrid Journal   (Followers: 5)
Intl. J. of Radio Frequency Identification Technology and Applications     Hybrid Journal   (Followers: 5)
Intl. J. of Rapid Manufacturing     Hybrid Journal   (Followers: 3)
Intl. J. of Reasoning-based Intelligent Systems     Hybrid Journal   (SJR: 0.126, CiteScore: 0)
Intl. J. of Reliability and Safety     Hybrid Journal   (Followers: 12, SJR: 0.201, CiteScore: 0)
Intl. J. of Renewable Energy Technology     Hybrid Journal   (Followers: 10)
Intl. J. of Research, Innovation and Commercialisation     Hybrid Journal  
Intl. J. of Revenue Management     Hybrid Journal   (Followers: 2, SJR: 0.154, CiteScore: 0)
Intl. J. of Risk Assessment and Management     Hybrid Journal   (Followers: 15, SJR: 0.142, CiteScore: 0)
Intl. J. of Satellite Communications Policy and Management     Hybrid Journal   (Followers: 12)
Intl. J. of Security and Networks     Hybrid Journal   (Followers: 11, SJR: 0.212, CiteScore: 1)
Intl. J. of Sensor Networks     Hybrid Journal   (Followers: 4, SJR: 0.25, CiteScore: 1)
Intl. J. of Service and Computing Oriented Manufacturing     Hybrid Journal   (Followers: 2)
Intl. J. of Services and Operations Management     Hybrid Journal   (Followers: 5, SJR: 0.288, CiteScore: 1)
Intl. J. of Services and Standards     Hybrid Journal   (Followers: 1, SJR: 0.13, CiteScore: 0)
Intl. J. of Services Operations and Informatics     Hybrid Journal   (Followers: 1, SJR: 0.106, CiteScore: 0)
Intl. J. of Services Sciences     Hybrid Journal  
Intl. J. of Services Technology and Management     Hybrid Journal   (Followers: 1, SJR: 0.129, CiteScore: 0)
Intl. J. of Services, Economics and Management     Hybrid Journal   (SJR: 0.118, CiteScore: 0)
Intl. J. of Shipping and Transport Logistics     Hybrid Journal   (Followers: 6, SJR: 0.416, CiteScore: 1)
Intl. J. of Signal and Imaging Systems Engineering     Hybrid Journal   (SJR: 0.179, CiteScore: 1)
Intl. J. of Simulation and Process Modelling     Hybrid Journal   (Followers: 5, SJR: 0.259, CiteScore: 1)
Intl. J. of Six Sigma and Competitive Advantage     Hybrid Journal   (Followers: 3, SJR: 0.161, CiteScore: 0)
Intl. J. of Smart Grid and Green Communications     Hybrid Journal   (Followers: 1)
Intl. J. of Smart Technology and Learning     Hybrid Journal   (Followers: 3)
Intl. J. of Social and Humanistic Computing     Hybrid Journal   (Followers: 1)
Intl. J. of Social Computing and Cyber-Physical Systems     Hybrid Journal   (Followers: 1)
Intl. J. of Social Entrepreneurship and Innovation     Hybrid Journal   (Followers: 22)
Intl. J. of Social Media and Interactive Learning Environments     Hybrid Journal   (Followers: 16)
Intl. J. of Social Network Mining     Hybrid Journal   (Followers: 2)
Intl. J. of Society Systems Science     Hybrid Journal  
Intl. J. of Soft Computing and Networking     Hybrid Journal   (Followers: 1)
Intl. J. of Software Engineering, Technology and Applications     Hybrid Journal   (Followers: 4)
Intl. J. of Space Science and Engineering     Hybrid Journal   (Followers: 10)
Intl. J. of Space-Based and Situated Computing     Hybrid Journal   (Followers: 2)
Intl. J. of Spatial, Temporal and Multimedia Information Systems     Hybrid Journal   (Followers: 1)
Intl. J. of Spatio-Temporal Data Science     Hybrid Journal  
Intl. J. of Sport Management and Marketing     Hybrid Journal   (Followers: 10, SJR: 0.377, CiteScore: 1)
Intl. J. of Strategic Business Alliances     Hybrid Journal   (Followers: 3)
Intl. J. of Strategic Change Management     Hybrid Journal   (Followers: 12)
Intl. J. of Strategic Engineering Asset Management     Hybrid Journal   (Followers: 5)
Intl. J. of Structural Engineering     Hybrid Journal   (Followers: 12, SJR: 0.326, CiteScore: 1)
Intl. J. of Supply Chain and Inventory Management     Hybrid Journal   (Followers: 14)
Intl. J. of Supply Chain and Operations Resilience     Hybrid Journal   (Followers: 7)
Intl. J. of Surface Science and Engineering     Hybrid Journal   (Followers: 8, SJR: 0.412, CiteScore: 1)
Intl. J. of Sustainable Agricultural Management and Informatics     Hybrid Journal   (Followers: 1)
Intl. J. of Sustainable Aviation     Hybrid Journal   (Followers: 4)
Intl. J. of Sustainable Design     Hybrid Journal   (Followers: 9)
Intl. J. of Sustainable Development     Hybrid Journal   (Followers: 16, SJR: 0.2, CiteScore: 0)
Intl. J. of Sustainable Economy     Hybrid Journal   (Followers: 1)
Intl. J. of Sustainable Manufacturing     Hybrid Journal   (Followers: 4)
Intl. J. of Sustainable Materials and Structural Systems     Hybrid Journal   (Followers: 3)
Intl. J. of Sustainable Real Estate and Construction Economics     Hybrid Journal   (Followers: 2)
Intl. J. of Sustainable Society     Hybrid Journal   (Followers: 3, SJR: 0.297, CiteScore: 1)
Intl. J. of Sustainable Strategic Management     Hybrid Journal   (Followers: 4)
Intl. J. of Swarm Intelligence     Hybrid Journal   (Followers: 2)
Intl. J. of System Control and Information Processing     Hybrid Journal   (Followers: 3)
Intl. J. of System of Systems Engineering     Hybrid Journal   (Followers: 2, SJR: 0.212, CiteScore: 0)
Intl. J. of Systems, Control and Communications     Hybrid Journal   (Followers: 4, SJR: 0.142, CiteScore: 0)
Intl. J. of Teaching and Case Studies     Hybrid Journal   (Followers: 5)

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Similar Journals
Journal Cover
International Journal of Intelligent Enterprise
Journal Prestige (SJR): 0.138
Number of Followers: 1  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1745-3232 - ISSN (Online) 1745-3240
Published by Inderscience Publishers Homepage  [449 journals]
  • Rapid retrieval of secured data from the sensor cloud using a relative
           record index and energy management of sensors
    • Authors: S. Geetha, P. Deepalakshmi
      Pages: 3 - 14
      Abstract: A massive amount of data is produced by sensors. These data finds a place in the cloud through a base station. Occasionally, the data collection process is disrupted as a result of the energy level of the sensor network due to voids. Void sensors do not propagate messages intended for the destination. We have addressed the issue of voids in sensors with the dynamic void removal algorithm. Retrieval of data from cloud is performed by relative record index associated with a security mechanism. Authenticated customers are given a secret key to rapidly retrieve data from the cloud. Meanwhile sensor networks require a secure mutual authentication scheme in an anxious network environment; our etiquette can handle all problems thrown up by the former schemes. Therefore, our protocol is more suited to an open and higher-security Sensor Network environment despite greater computation cost and energy.
      Keywords: wireless sensor network; WSN; sensor cloud; void sensors; dynamic void removal algorithm; DVRA; relative record index; RRI
      Citation: International Journal of Intelligent Enterprise, Vol. 7, No. 1/2/3 (2020) pp. 3 - 14
      PubDate: 2020-01-27T23:20:50-05:00
      DOI: 10.1504/IJIE.2020.104641
      Issue No: Vol. 7, No. 1/2/3 (2020)
       
  • Comparative study on IDS using machine learning approaches for software
           defined networks
    • Authors: K. Muthamil Sudar, P. Deepalakshmi
      Pages: 15 - 27
      Abstract: Software defined networking (SDN) is an emerging network approach that separates the data plane from control plane and enables programmable features to efficiently handle the network configuration in order to improve network performance and monitoring. Since SDN contains the logically centralised controller which controls the entire network, the attacker mainly focuses on causing vulnerability towards the controller. Hence there is a need of powerful tool called intrusion detection system (IDS) to detect and prevent the network from various intrusions. Therefore, incorporation of IDS into SDN architecture is essential one. Nowadays, machine learning (ML) approaches can provide promising solution for the prediction of attacks with more accuracy and with low error rate. In this paper, we surveyed about some machine learning techniques such as naive Bayes, decision tree, random forest, multilayer perceptron algorithms for IDS and compare their performance in terms of attack prediction accuracy and error rate. Additionally, we also discussed about the background of SDN, security issues in SDN, overview of IDS types and various machine learning approaches with the knowledge of datasets.
      Keywords: intrusion detection system; IDS; machine learning; software defined networking; SDN; naive Bayes; decision trees; random forest; multilayer perceptron; datasets
      Citation: International Journal of Intelligent Enterprise, Vol. 7, No. 1/2/3 (2020) pp. 15 - 27
      PubDate: 2020-01-27T23:20:50-05:00
      DOI: 10.1504/IJIE.2020.104642
      Issue No: Vol. 7, No. 1/2/3 (2020)
       
  • Financial access indicators of financial inclusion: a comparative
           analysis of SAARC countries
    • Authors: K. Muthamil Sudar, P. Deepalakshmi
      Pages: 28 - 36
      Abstract: Financial inclusion provides access to formal financial services at reasonable cost to the financially excluded people. Financial inclusion has been one of the most sought after topics in recent times for policy makers, researchers and academicians. Definition of financial inclusion varies from region to region. Financial inclusion is measured using different indicator. The important indicators of financial inclusion measurement include access indicators, usage indicators, quality indicators and financial education indicators. Most of the researchers use access indicators and usage indicators to measure financial inclusion. Access indicators comprise of demographic and geographic branch penetration, demographic and geographic ATM penetration and population per branch. This study focuses on comparative analysis of access indicators of financial inclusion in SAARC countries. The study is based on secondary data available in the central banks of SAARC nations, International Monetary Fund, World Bank and Asian Development Bank. The study has found and analysed about the countries which has performed well in each indicator of financial access.
      Keywords: financial access; financial inclusion; indicators; SAARC
      Citation: International Journal of Intelligent Enterprise, Vol. 7, No. 1/2/3 (2020) pp. 28 - 36
      PubDate: 2020-01-27T23:20:50-05:00
      DOI: 10.1504/IJIE.2020.104643
      Issue No: Vol. 7, No. 1/2/3 (2020)
       
  • A novel method for predicting kidney diseases using optimal artificial
           neural network in ultrasound images
    • Authors: S. Packirisamy Balamurugan, Gurusamy Arumugam
      Pages: 37 - 55
      Abstract: The main aim of this research is to design and develop an efficient approach for predicting ultrasound kidney diseases using multiple stages. Nowadays, kidney disease prediction is one of the crucial procedures in surgical and treatment planning for ultrasound images. Therefore, in this paper, we propose a novel ultrasound kidney diseases prediction using the artificial neural network (ANN). To achieve the concept, we comprise the proposed system into four modules such as preprocessing, feature extraction, feature selection using OGOA and disease prediction using ANN. Initially, we eliminate the noise present in the input image using the optimal wavelet and bilateral filter. Then, a set of GLCM features are extracted from each input image and then we select the important features using oppositional grasshopper optimisation algorithm (OGOA). To classify the image as normal or abnormal, the proposed method utilises an artificial neural network (ANN). The performance of the proposed method is evaluated using accuracy, sensitivity, and specificity. The experimentation results show that the proposed system attains the maximum accuracy of 95.83% which is high compared to existing methods.
      Keywords: ultrasound image; neural network; multi-kernel k-means clustering; GLCM features; segmentation; classification; bilateral filter; oppositional grasshopper optimisation algorithm; OGOA
      Citation: International Journal of Intelligent Enterprise, Vol. 7, No. 1/2/3 (2020) pp. 37 - 55
      PubDate: 2020-01-27T23:20:50-05:00
      DOI: 10.1504/IJIE.2020.104644
      Issue No: Vol. 7, No. 1/2/3 (2020)
       
  • Recurrent neural network-based speech recognition using MATLAB
    • Authors: Praveen Edward James, Mun Hou Kit, Chockalingam Aravind Vaithilingam, Alan Tan Wee Chiat
      Pages: 56 - 66
      Abstract: The purpose of this paper is to design an efficient recurrent neural network (RNN)-based speech recognition system using software with long short-term memory (LSTM). The design process involves speech acquisition, pre-processing, feature extraction, training and pattern recognition tasks for a spoken sentence recognition system using LSTM-RNN. There are five layers namely, an input layer, a fully connected layer, a hidden LSTM layer, SoftMax layer and a sequential output layer. A vocabulary of 80 words which constitute 20 sentences is used. The depth of the layer is chosen as 20, 42 and 60 and the accuracy of each system is determined. The results reveal that the maximum accuracy of 89% is achieved when the depth of the hidden layer is 42. Since the depth of the hidden layer is fixed for a task, increased performance can be achieved by increasing the number of hidden layers.
      Keywords: speech recognition; feature extraction; pre-processing; recurrent neural network; RNN; long short-term memory; LSTM; hidden layer; MATLAB
      Citation: International Journal of Intelligent Enterprise, Vol. 7, No. 1/2/3 (2020) pp. 56 - 66
      PubDate: 2020-01-27T23:20:50-05:00
      DOI: 10.1504/IJIE.2020.104645
      Issue No: Vol. 7, No. 1/2/3 (2020)
       
  • Real time noisy dataset implementation of optical character identification
           using CNN
    • Authors: R. Anand, T. Shanthi, R.S. Sabeenian, S. Veni
      Pages: 67 - 80
      Abstract: Optical character recognition (OCR) is one of the major research problem in real time applications and it is used to recognise all the characters in an image. As English is a universal language, character recognition in English is a challenging task. Deep learning approach is one of the solution for the recognition of optical characters. Aim of this research work is to perform character recognition using convolutional neural network with LeNET architecture. Dataset used in this work is scanned passport dataset for generating all the characters and digits using tesseract. The dataset has training set of 60,795 and testing set of 7,767. Total samples used are 68,562 which is separated by 62 labels. Till now there is no research on predicting all 52 characters and ten digits. The algorithm used in this work is based on deep learning with appropriate some layer which shows significant improvement in accuracy and reduced the error rate. The developed model was experimented with test dataset for prediction and can produce 93.4% accuracy on training, and 86.5% accuracy on the test dataset.
      Keywords: convolutional neural networks; CNN; scanned passport; deep learning; classification; optical character recognition; OCR; discrete wavelet transform; DWT
      Citation: International Journal of Intelligent Enterprise, Vol. 7, No. 1/2/3 (2020) pp. 67 - 80
      PubDate: 2020-01-27T23:20:50-05:00
      DOI: 10.1504/IJIE.2020.104646
      Issue No: Vol. 7, No. 1/2/3 (2020)
       
  • Analysis of double chambered single and cascaded microbial fuel cells:
           characterisation study based on the enrichment of fuel
    • Authors: G. Thenmozhi, J. Sreelatha, S. Gobinaath
      Pages: 81 - 92
      Abstract: Need for green energy, depletion of fossil fuels becomes the immediate requirement for building a clean and sustainable society. Among the various sustainable energy sources, microbial fuel cell is an emerging field with vast history as it converts the naturally available materials or bio-products into electricity with the help of microbes. Hence microbial fuel cell is an energy transducer. The experimental set-up is a double chambered microbial fuel cell with four single units among which two are separate and other two single units are cascaded into one. Cow dung and sheep worm kept in the anodic chamber are used both individually and also in combination. In order to make a complete characterisation study of MFC, additives like vermicompost, curd, etc., are added and they help to promote the growth of bacteria into it. This experimental setup, clearly defines the variation of output voltage and output power for the three different samples chosen with respect to time. Also the characterisation study is made based on the implementation of MFC set up with respect to the fuel enrichment and its performance is analysed.
      Keywords: microbial fuel cell; energy transducer; cascaded MFC; double chambered microbial fuel cell; cow dung; sheep worm; vermicompost; fuel enrichment; clean energy; characterisation study
      Citation: International Journal of Intelligent Enterprise, Vol. 7, No. 1/2/3 (2020) pp. 81 - 92
      PubDate: 2020-01-27T23:20:50-05:00
      DOI: 10.1504/IJIE.2020.104649
      Issue No: Vol. 7, No. 1/2/3 (2020)
       
  • A computational perception of locating multiple longest common subsequence
           in DNA sequences
    • Authors: G. Tamilpavai, R. Sripathy Padhma, C. Vishnuppriya
      Pages: 93 - 106
      Abstract: Bioinformatics is an active research area which combines biological matter as well as computer science research. The longest common subsequence (LCS) is one of the indispensable issue to be unravelled viably in computational science. Discovering LCS is fundamental undertaking in deoxyribonucleic acid (DNA) arrangement investigation and other molecular biology. In this paper, new calculation for discovering LCS of two DNA successions and its area is proposed. The objective of this created framework is to discover the area and length of all subsequences which introduces in the two arrangements. To achieve this, DNA sequences are stored in an array and the comparison of DNA sequences are performed using matching algorithm. At the end of matching process, group of subsequence are obtained. Then the length and location of the matched subsequence are computed. After completing the matching process, longest common subsequence(s) is located. In this proposed work, maximally obtained length of LCS is 8. Finally, the computation time is calculated for locating LCS in DNA sequences. In addition to this, computation time is analysed by gradually increasing the length (in characters count) of DNA sequences from 100, 200, 300, 400 and 500. It concludes that computation time for locating LCS in various lengths of DNA sequences took few seconds difference only.
      Keywords: computational biology; deoxyribonucleic acid; DNA; longest common subsequence; LCS; matching algorithm; bioinformatics; molecular biology; NCBI; Matlab; intelligent computing
      Citation: International Journal of Intelligent Enterprise, Vol. 7, No. 1/2/3 (2020) pp. 93 - 106
      PubDate: 2020-01-27T23:20:50-05:00
      DOI: 10.1504/IJIE.2020.104648
      Issue No: Vol. 7, No. 1/2/3 (2020)
       
  • S-transform-based efficient copy-move forgery detection
           technique in digital images
    • Authors: Rajeev Rajkumar, Sudipta Roy, Khumanthem Manglem Singh
      Pages: 107 - 121
      Abstract: Copy-move forgery (CMF), which copies a part of a picture and pastes it into another location, is one of the common strategies for digital image tampering. Due to the arrival of high-performance hardware and the compact use of image processing software, empowers creating image forgeries easy that are undetectable by the naked eye. For CMF detection, we suggest an efficient and vigorous method that could take care of numerous geometric ameliorations including rotation, scaling, and blurring. In the projected CMF detection system, we use Stockwell transform (S-transform) which hybrids the advantages of both scale invariant feature transform (SIFT) and wavelet transform (WT) to extract the key points and their descriptors from the overlapped image blocks. Furthermore, Euclidean distance (ED) between the overlapped blocks are measured to detect the similarities and to identify the tampered or forged region in the image. Besides, a novel fuzzy min-max neural network-based decision tree (FMMNN-DT) classifier is used to recognise the duplicated regions in the forgery image. The proposed system is tested and validated using MICC-F220 dataset and we present comparison among the proposed outcomes with some existing ones which ensure the significance of the proposed.
      Keywords: copy-move forgery; CMF; Stockwell transform; S-transform; feature extraction; fuzzy min-max classifier; decision tree classifier
      Citation: International Journal of Intelligent Enterprise, Vol. 7, No. 1/2/3 (2020) pp. 107 - 121
      PubDate: 2020-01-27T23:20:50-05:00
      DOI: 10.1504/IJIE.2020.104647
      Issue No: Vol. 7, No. 1/2/3 (2020)
       
  • Enhanced media independent handover for vertical handover decision in
           MANET
    • Authors: Jagan Nath, Rajesh Kumar Aggarwal, Yudhvir Singh
      Pages: 122 - 136
      Abstract: In heterogeneous mobile ad hoc network (MANET), seamless connectivity of a mobile node is the important challenge. Due to the mobility of the node, it may loss seamless connection. So, vertical handover techniques were presented to solve this issue. However, communication might get cancelled when handover takes place. This results in call drop and some other issues. So as to overcome these issues, an enhanced media independent handover/IEEE802.21 (EMIH) for vertical handover decision is presented in this paper. In this standard, adaptive neuro-fuzzy inference system (ANFIS) is included to select optimal network for vertical handover. Simulation results show that performance of the proposed approach outperforms that of the existing approach in terms of handover probability, drop, etc.
      Keywords: mobile ad hoc network; MANET; vertical handover; optimal network; adaptive neuro-fuzzy inference system; ANFIS; received signal strength; RSS; average bit rate; ABR; handover probability
      Citation: International Journal of Intelligent Enterprise, Vol. 7, No. 1/2/3 (2020) pp. 122 - 136
      PubDate: 2020-01-27T23:20:50-05:00
      DOI: 10.1504/IJIE.2020.104650
      Issue No: Vol. 7, No. 1/2/3 (2020)
       
  • The effect of lean on job satisfaction
    • Authors: A. Varadaraj, S. Ananth
      Pages: 137 - 154
      Abstract: Lean principles and lean management are increasingly implemented in various sectors of organisations. Lean has shown visible effects in enhancing productivity, reducing wastage of time and materials while still maintaining customer satisfaction as well as employee satisfaction. Lean philosophy is about people understanding their motives and aspirations. Most of the literature works on lean say that the key driver for lean implementation is employee involvement and satisfaction with the process. Hence lean always focuses on employee motivation and their work performance. This thesis is proposed to study on the impact of lean on job satisfaction in organisations. The research data will be collected using the survey tool by distributing questionnaires to organisations that implement lean principles. The respondents who belong to the group that handles everyday work process and services will be selected to participate in the survey. The research survey data will be analysed using Microsoft Excel along with statistical tools like Correlation in order to have an in depth understanding on the findings of the research proposed through several hypothesis.
      Keywords: enhancing productivity; reducing wastage of time; limitation of materials; employee motivation
      Citation: International Journal of Intelligent Enterprise, Vol. 7, No. 1/2/3 (2020) pp. 137 - 154
      PubDate: 2020-01-27T23:20:50-05:00
      DOI: 10.1504/IJIE.2020.104651
      Issue No: Vol. 7, No. 1/2/3 (2020)
       
  • Reinforcement-based heterogeneous ensemble for anomaly detection in
           streaming environment
    • Authors: S.L. Sanjith, E. George Dharma Prakash Raj
      Pages: 155 - 165
      Abstract: Intrusion detection in networks is a challenging process, mainly due to huge amount of data and the imbalanced nature of the data. Further, the ever-changing transmission patterns introduce concept drift, which also exhibits a huge challenge. This work presents a heterogeneous ensemble based prediction model to detect anomalies in the network environment. The major goal of the proposed model is to provide faster, more efficient real-time predictions and to enhance the reliability of the model by providing an iterative mechanism to handle concept drifts. The ensemble is created using three varied base learners and the results are aggregated using a voting combiner to provide results. Decision tree, random forest, and gradient boosting trees are used as the base learners. The varied nature of the learners enables effective performances in models. Further reinforcement and an iterative training component is introduced into the model to handle concept drift. Experiments were performed on benchmark intrusion detection data and the results indicate the high performing nature of the model. Comparisons were performed with recent state-of-the-art models in literature and they indicate improved performances of the proposed model, indicating the high performing nature of the proposed ensemble model.
      Keywords: ensemble model; decision tree; random forest; gradient boosting trees; voting; anomaly detection
      Citation: International Journal of Intelligent Enterprise, Vol. 7, No. 1/2/3 (2020) pp. 155 - 165
      PubDate: 2020-01-27T23:20:50-05:00
      DOI: 10.1504/IJIE.2020.104652
      Issue No: Vol. 7, No. 1/2/3 (2020)
       
  • Using technological modality to learn vocabulary incidentally and
           intentionally for effective communication
    • Authors: B.R. Aravind, V. Rajasekaran
      Pages: 166 - 175
      Abstract: Vocabulary is the flesh of a language, which is an indispensable constituent for a language. This research highlights the role of language learners' acquisition in incidental and intentional vocabulary by using technological modality. Effective usage of vocabulary in communication and comprehension is crucial and demanding as well. English being the diplomatic language, and which is witnessed as a parameter for graduates, particularly in job acquisition. There are numerous teaching methods were followed for effective learning. In order to benefit, English as a second language (ESL) learners and English as a foreign language (EFL) learners, task-based learning (TBL) approach is observed to be an effective learning method. This paper devices to use technology, entertainment, and design (TED) talk video with subtitles in the syllabus of TBL learning for effective learning of incidental and intentional vocabulary in language and succeeded by analysing the response from the students. The study reveals the significant development and interest in learning a new word by using the authentic instructional TED talk videos for vocabulary learning and vocabulary acquisition.
      Keywords: English as a second language; ESL; English as a foreign language; EFL; task-based learning; TBL; vocabulary; English and communication
      Citation: International Journal of Intelligent Enterprise, Vol. 7, No. 1/2/3 (2020) pp. 166 - 175
      PubDate: 2020-01-27T23:20:50-05:00
      DOI: 10.1504/IJIE.2020.104653
      Issue No: Vol. 7, No. 1/2/3 (2020)
       
  • Call detail record-based traffic density analysis using global
           K-means clustering
    • Authors: Suja Chandrasekharan Nair, M. Sudheep Elayidom, Sasi Gopalan
      Pages: 176 - 187
      Abstract: With the expanding number of vehicles on the road is creating substantial traffic that is hard to control and maintain safety, particularly in extensive urban areas. To estimate the traffic density several works were carried out in the past. However, they are inappropriate and expensive due to the dynamics of traffic flow. Here we intend to use CDR to distinguish the traffic density location and to track the location of the mobile user. In our proposed method to discover the density scope of the traffic, we are using two algorithms called k-means clustering and the k nearest neighbour classification algorithms. The proposed technique will be tested among five different locations during the weekdays and the weekends, which show the noteworthiness of the proposed algorithm and show that our technique has high accuracy.
      Keywords: traffic density; call detail records; CDR; data pre-processing; global K-means clustering algorithm; K-nearest neighbour classification; cell-tower ID; behavioral patterns; disposition; monitoring; predictable
      Citation: International Journal of Intelligent Enterprise, Vol. 7, No. 1/2/3 (2020) pp. 176 - 187
      PubDate: 2020-01-27T23:20:50-05:00
      DOI: 10.1504/IJIE.2020.104654
      Issue No: Vol. 7, No. 1/2/3 (2020)
       
  • Regulations on sustainability reporting as a global force in shaping
           business enterprises: evidence from India
    • Authors: Periasamy Mathivanan, Ramaiah Kasilingam
      Pages: 188 - 202
      Abstract: McKinsey in 2010 identified the larger role of the 'state' as a business regulator as one of the five global forces that shape business enterprises. In the recent past, this was very evident in India when both the government and the stock market regulator introduced changes in business responsibility reporting of Indian enterprises. Intelligent enterprises adapt swiftly to changing regulatory mechanisms be it voluntary or mandatory. In this paper, we discuss how Indian enterprises respond to sustainability reporting requirements both in the voluntary and mandatory regimes. Among the variables identified for our study company's age, industry type, market capitalisation and listing status of the company including index type influences global sustainability reporting practices in India.
      Keywords: GRI; sustainability reporting in India; mandatory BRR; sustainability index; sustainable companies; SRTs; India
      Citation: International Journal of Intelligent Enterprise, Vol. 7, No. 1/2/3 (2020) pp. 188 - 202
      PubDate: 2020-01-27T23:20:50-05:00
      DOI: 10.1504/IJIE.2020.104655
      Issue No: Vol. 7, No. 1/2/3 (2020)
       
  • Indexing documents with reliable indexing techniques using Apache Lucene
           in Hadoop
    • Authors: E. Laxmi Lydia, Sivakoti Satyanarayan, K. Vijaya Kumar, Dasari Ramya
      Pages: 203 - 214
      Abstract: Mostly 85% of the data is presented in the form of text, which is the human-readable format. Present educational, business, medical organisations, etc. making use of big data analytics for storage of data and processing that stored data by using information retrieval. Often time's text documents have been transferred from one system to another system without any restrictions like, structured, unstructured and semi-structured data. Systems are well performed with high speed and less complexity only when it has all the data arranged in an orderly way. This paper describes how documents of text data are being Indexed using Apache Lucene with approaches in Hadoop. Most of the applications that deal with huge data over the internet are completely lacking. Use of effective analysis and techniques allow users in resulting high-performance and a challenging option in leading big data analytics.
      Keywords: Apache Lucene; indexing; big data; indexing techniques
      Citation: International Journal of Intelligent Enterprise, Vol. 7, No. 1/2/3 (2020) pp. 203 - 214
      PubDate: 2020-01-27T23:20:50-05:00
      DOI: 10.1504/IJIE.2020.104656
      Issue No: Vol. 7, No. 1/2/3 (2020)
       
  • SMSS: does social, mobile, spatial and sensor data have high impact on
           big data analytics
    • Authors: Chemmalar Selvi Govardanan, Lakshmi Priya Gopalsamy Gnanapandithan
      Pages: 215 - 233
      Abstract: Big data refers to the huge torrent of large-scale datasets that are being generated at an exponential growth. Since we live in this digital world, the era of big data has emerged in part and parcel of our lives. The emergence of big data has reached in almost several domains like healthcare industry, telecom industry, molecular biology, biochemistry, physics, astronomy, computer science, business and others. In this paper, we have termed the types of big data by the form SMSS data which is simply meaning social, mobile, spatial and sensor data. This paper aims to provide the importance of big data analytics brought over the different types of big data extracted from heterogeneous data sources. To achieve this objective, we have made an intensive study of several literatures and considered a variety of big data applications which are being discussed to showcase its value. Also, a generic framework is proposed that can be applicable to any kind of big data types extracted from such a diverse heterogeneous data sources. Finally, a few open source tools that can be used for processing the big data are presented.
      Keywords: big data types; social data; spatial data; sensor data; mobile data
      Citation: International Journal of Intelligent Enterprise, Vol. 7, No. 1/2/3 (2020) pp. 215 - 233
      PubDate: 2020-01-27T23:20:50-05:00
      DOI: 10.1504/IJIE.2020.104657
      Issue No: Vol. 7, No. 1/2/3 (2020)
       
  • Studies on European call option of binomial option pricing model using
           Taguchi's L27 orthogonal array
    • Authors: Amir Ahmad Dar, N. Anuradha
      Pages: 234 - 249
      Abstract: There are several parameters affecting the European call option value such as strike price <i>K</i>, the price of an underlying asset <i>S</i><SUB align="right">0, volatility <i>σ</i>, time period <i>t</i> and interest rate <i>r</i>. In this paper, the binomial option pricing model is utilised to assess the estimation of a European call option. To explore the effects of input factors, Taguchi method of orthogonal L27 design experiment is carried out using an orthogonal array, analysis of variance (ANOVA), and analysis of mean (ANOM) were used. The purpose of this paper to find the best optimal combination by varying the parameters at constant interest rate <i>r</i> and the effects of parameters are discussed. The ANOM distinguishes which parameter influences higher on European call option value and furthermore, it demonstrates the best combination where the European call option will get the greatest value. The ANOVA estimates the percentage contribution of every parameter on European call option and the analysis is carried out using MINITAB software.
      Keywords: binomial model; Taguchi's method; analysis of mean; ANOM; analysis of variance; ANOVA; option
      Citation: International Journal of Intelligent Enterprise, Vol. 7, No. 1/2/3 (2020) pp. 234 - 249
      PubDate: 2020-01-27T23:20:50-05:00
      DOI: 10.1504/IJIE.2020.104663
      Issue No: Vol. 7, No. 1/2/3 (2020)
       
  • Advanced graphical-based security approach to handle hard AI problems
           based on visual security
    • Authors: T. Venkata Satya Vivek, V.N. Rajavarman, Srinivasa Rao Madala
      Pages: 250 - 266
      Abstract: Security is the main aspect to explore human data from different web oriented applications present in artificial intelligence (AI). It is very difficult to use different web applications without security to access data in various places. So that various types of security related approaches were introduced to use services in securely in outside environment, but they have some limitations to protect data from outside attackers (hackers). So that in this paper, we propose and introduce a novel and advanced security model to provide security from outside attackers in AI related web oriented applications. In this approach, we follow the basic features related to Captcha as a graphical password to enable security services in our proposed approach. Using Captcha graphical passwords in our approach, we describe pushing attacks, pass-on attacks and guessing attacks in web applications with random selection of Captcha passwords to use web services. Our experimental results show efficient security relations when compare to existing security approaches in terms of Captcha generation, time and other parameters present in web security applications.
      Keywords: Captcha; graphical password; directory-based push attacks; security attacks; visual cryptography; dictionary attacks
      Citation: International Journal of Intelligent Enterprise, Vol. 7, No. 1/2/3 (2020) pp. 250 - 266
      PubDate: 2020-01-27T23:20:50-05:00
      DOI: 10.1504/IJIE.2020.104662
      Issue No: Vol. 7, No. 1/2/3 (2020)
       
  • Intelligent systems for volumetric feature recognition from CAD mesh
           models
    • Authors: Vaibhav J. Hase, Yogesh J. Bhalerao, Saurabh Verma, G.J. Vikhe Patil
      Pages: 267 - 278
      Abstract: This paper presents an intelligent technique to recognise the volumetric features from CAD mesh models based on hybrid mesh segmentation. The hybrid approach is an intelligent blending of facet-based, vertex based, rule-based, and artificial neural network (ANN)-based techniques. Comparing with existing state-of-the-art approaches, the proposed approach does not depend on attributes like curvature, minimum feature dimension, number of clusters, number of cutting planes, the orientation of model and thickness of the slice to extract volumetric features. ANN-based intelligent threshold prediction makes hybrid mesh segmentation automatic. The proposed technique automatically extracts volumetric features like blends and intersecting holes along with their geometric parameters. The proposed approach has been extensively tested on various benchmark test cases. The proposed approach outperforms the existing techniques favourably and found to be robust and consistent with coverage of more than 95% in addressing volumetric features.
      Keywords: CAD mesh model; CMM; hybrid mesh segmentation; volumetric feature recognition
      Citation: International Journal of Intelligent Enterprise, Vol. 7, No. 1/2/3 (2020) pp. 267 - 278
      PubDate: 2020-01-27T23:20:50-05:00
      DOI: 10.1504/IJIE.2020.104661
      Issue No: Vol. 7, No. 1/2/3 (2020)
       
  • A supervised multimodal search re-ranking technique using visual
           semantics
    • Authors: Nikhila T. Bhuvan, M. Sudheep Elayidom
      Pages: 279 - 290
      Abstract: The multimedia content in a webpage is usually given least importance in webpage ranking. A better user satisfaction could be achieved if the web pages are ranked based on multiple modalities rather than just depending on the textual content. A better ranking of the web pages is proposed using natural language descriptions of images along with the textual content in a webpage is being proposed. The inter-modal correspondences between text and visual data are learned using the convolutional neural network assisted by the datasets of images and their sentence descriptors. The model is based on convolutional neural networks over images to generate the image descriptor and Dandelion API for their similarity measure with the query. The image description is algorithmically generated rather depending on the image annotations present. Finally, it has been proven that the re-ranked web pages using the generated descriptions significantly outperform the state of art retrieval models.
      Keywords: automatic image annotation; convolutional neural networks; image descriptor; multimodality search; search re ranking; semantic similarity; supervised re ranking; visual semantics
      Citation: International Journal of Intelligent Enterprise, Vol. 7, No. 1/2/3 (2020) pp. 279 - 290
      PubDate: 2020-01-27T23:20:50-05:00
      DOI: 10.1504/IJIE.2020.104660
      Issue No: Vol. 7, No. 1/2/3 (2020)
       
  • Design of cost effective transistor by software simulation for profitable
           production
    • Authors: Debasis Mukherjee, B.V. Ramana Reddy
      Pages: 291 - 305
      Abstract: Reduction of process cost is the key factor for profitability in any industry. Semiconductor industry is also not an exception of this rule. In this paper, a novel transistor structure has been proposed with reduced process cost and almost same functionality compared to conventional MOSFET transistor. Details fabrication steps of the novel transistor have been proposed. Working of the proposed structure resembles conventional MOSFET, but structure wise there are many differences. Necessity of source extension and drain extension has been uninvolved, resulting less fabrication cost and higher concentration of transistors in same chip area. Another improvement is removal of gate spacer, resulting cutting down of process cost. Both the conventional MOSFET and the proposed one have been simulated by Sentaurus TCAD toolkit for 7 nm technology generation. The performance of the proposed transistor has been found satisfactory compared to the conventional MOSFET as per the guidance given in International Technology Roadmap for Semiconductors or ITRS (2013) version.
      Keywords: 7 nm; cost; CMOS; device level; fabrication; ITRS; MOSFET; process cost; production; profitability; TCAD; VLSI
      Citation: International Journal of Intelligent Enterprise, Vol. 7, No. 1/2/3 (2020) pp. 291 - 305
      PubDate: 2020-01-27T23:20:50-05:00
      DOI: 10.1504/IJIE.2020.104659
      Issue No: Vol. 7, No. 1/2/3 (2020)
       
  • Offline study for implementing human computer interface for elderly
           paralysed patients using electrooculography and neural networks
    • Authors: S. Ramkumar, K. Sathesh Kumar, K. Maheswari, P. Packia Amutha Priya, G. Emayavaramban, J. Macklin Abraham Navamani
      Pages: 306 - 321
      Abstract: Earlier day's people with disability face lot of difficulty in communication due to neuromuscular attack. They are unable to share ideas and thoughts with others so they need some assist to overcome this condition. To overcome the condition, in this paper, we discussed the capabilities of designing electrooculogram (EOG)-based human computer interface (HCI) by ten subjects using power spectral density techniques and neural network. In this study, we compare the right hander performance with left hander performance. Outcomes of the study concluded that lefthander performance was marginally appreciated compared to right hander performance in terms of classification accuracy with an average accuracy of 93.38% for all left hand subjects and 91.38% for all the right subjects using probabilistic neural network (PNN) and also we analysed that during the training left handers were interestingly participated and also they can able to perform the following eleven tasks easily compared with right handers.
      Keywords: electrooculography; EOG; periodogram; human computer interface; HCI; probabilistic neural network; PNN
      Citation: International Journal of Intelligent Enterprise, Vol. 7, No. 1/2/3 (2020) pp. 306 - 321
      PubDate: 2020-01-27T23:20:50-05:00
      DOI: 10.1504/IJIE.2020.104658
      Issue No: Vol. 7, No. 1/2/3 (2020)
       
  • Influence of human resource management practices on the organisational
           commitment with specific reference to selected hotels in Chennai
    • Authors: V.R. Dheera, Jayasree Krishnan
      Pages: 322 - 337
      Abstract: This study investigates the influence of human resource management (HRM) practices on the organisational commitment in hospitality industry. The study hypothesises that HRM practices (employee motivation, rewards and awards, grievance handling, employee engagement, performance appraisal and training and development) will be positively related to commitment to organisation and career. The study was conducted with randomly selected employees (300 numbers) of leading hotels in Chennai, Tamilnadu. The statistical results of the data collected from the employees of hotels reveal that majority of the six HRM practices have direct positive and significant relationships with commitment to organisation and career. The employees of the hotels felt that 'grievance handling' function of HRM practices has to be given more importance and 'performance appraisal system' has to be more effective in a manner to motivate employees to perform better.
      Keywords: HRM practices; motivation; rewards and awards; grievance handling; employee engagement; performance appraisal; training and development; commitment to organisation and career; hotel industry
      Citation: International Journal of Intelligent Enterprise, Vol. 7, No. 1/2/3 (2020) pp. 322 - 337
      PubDate: 2020-01-27T23:20:50-05:00
      DOI: 10.1504/IJIE.2020.104664
      Issue No: Vol. 7, No. 1/2/3 (2020)
       
  • Rendezvous agents-based routing protocol for delay sensitive data
           transmission over wireless sensor networks with mobile sink
    • Authors: V.T. Venkateswarlu, P.V. Naganjaneyulu, D.N. Rao
      Pages: 338 - 355
      Abstract: The data collected by the sensor nodes will be transferred to sink in traditional wireless sensor networks. Due to the constrained energy reserves of the sensors, a transmission route should operate with minimal energy that tends to longevities network survival. A novel routing is portrayed that partitions the network area into regions and establishes rendezvous agents for the mobile sink at all of these regions and defines a method to order the areas which is followed by the mobile sink to visit the regions. The process of ordering the regions is furbished under many quality of service objectives portrayed in this manuscript. The performance of the proposed model assessed through simulation study and the same is compared with other contemporary model having similar objectives. The energy consumption efficiency under optimal packet delivery with minimal latency is the objective considered for the performance analysis.
      Keywords: LEACH protocol; PASCCC; line-based data dissemination; rendezvous points; smoke/CO system
      Citation: International Journal of Intelligent Enterprise, Vol. 7, No. 1/2/3 (2020) pp. 338 - 355
      PubDate: 2020-01-27T23:20:50-05:00
      DOI: 10.1504/IJIE.2020.104665
      Issue No: Vol. 7, No. 1/2/3 (2020)
       
  • Design of data scoring model for big data
    • Authors: V.T. Venkateswarlu, P.V. Naganjaneyulu, D.N. Rao
      Pages: 356 - 371
      Abstract: The huge volume and variety of data stored in big data provide more accurate predictive platform for the users. However, the decision-making process becomes a tedious task due to requirement of much computational time and memory to access them. Thus, a solution to the said problem is data scoring that provides the selection of only those variables or features that impact the decision-making process to a greater extend. To cater the need of an efficient data scoring model, the work carried out in this paper proposes a new data scoring model for big data. The proposed model uses adaptive LASSO as the statistical method. The steps involved in the design of the proposed model are outlined with proper explanation. The model is trained and tested by k-fold cross validation technique. The performance of the model is measured using ROC curve. The model is simulated using R and is applied on three distinct datasets. To make a comparison with LASSO, LASSO is also applied on these datasets. The simulated results reveal that the adaptive LASSO performs better than LASSO for large-sized datasets.
      Keywords: big data; regression analysis; data scoring; receiver operating characteristic curves; discriminant analysis; decision tree; support vector machine; random forest; intelligent system
      Citation: International Journal of Intelligent Enterprise, Vol. 7, No. 1/2/3 (2020) pp. 356 - 371
      PubDate: 2020-01-27T23:20:50-05:00
      DOI: 10.1504/IJIE.2020.104666
      Issue No: Vol. 7, No. 1/2/3 (2020)
       
 
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