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  • Open Access

    EDITORIAL

    Special Issue on Machine Learning and Data Mining for Cyber-Physical Systems

    Zheng Xu, Zhiguo Yan

    Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 517-518, 2018, DOI:10.31209/2018.100000018

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Application of Multi Agent Systems in Automation of Distributed Energy Management in Micro-grid using MACSimJX

    Leo Rajua, R. S. Miltonb, Senthilkumaran Mahadevana

    Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 483-491, 2018, DOI:10.1080/10798587.2017.1305647

    Abstract The objective of this paper is to monitor and control a micro-grid model developed in MATLABSimulink through Multi Agent System (MAS) for autonomous and distributed energy management. Since MATLAB/Simulink is not compatible with parallel operations of MAS, MAS operating in Java Agent Development Environment (JADE) is linked with MATLAB/Simulink through Multi Agent Control using Simulink with Jade extension (MACSimJX). This allows the micro-grid system designed with Simulink to be controlled by MAS for realizing the advantages of MAS in distributed and decentralized microgrid systems. JADE agents receive environmental information through Simulink and they coordinate to More >

  • Open Access

    ARTICLE

    A Clustering-based Approach for Balancing and Scheduling Bicycle-sharing Systems

    Imed Kacem, Ahmed Kadri, Pierre Laroche

    Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 421-430, 2018, DOI:10.31209/2018.100000016

    Abstract This paper addresses an inventory regulation problem in bicycle sharingsystems. The problem is to balance a network consisting of a set of stations by using a single vehicle, with the aim of minimizing the weighted sum of the waiting times during which some stations remain imbalanced. Motivated by the complexity of this problem, we propose a two-stage procedure based on decomposition. First, the network is divided into multiple zones by using two different clustering strategies. Then, the balancing problem is solved in each zone. Finally, the order in which the zones must be visited is More >

  • Open Access

    ARTICLE

    Modeling of a Fuzzy Expert System for Choosing an Appropriate Supply Chain Collaboration Strategy

    Kazim Sari

    Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 405-412, 2018, DOI:10.1080/10798587.2017.1352258

    Abstract Nowadays, there has been a great interest for business enterprises to work together or collaborate in the supply chain. It is thus possible for them to gain a competitive advantage in the marketplace. However, determining the right collaboration strategy is not an easy task. Namely, there are several factors that need to be considered at the same time. In this regard, an expert system based on fuzzy rules is proposed to choose an appropriate collaboration strategy for a given supply chain. To this end, firstly, the factors that are significant for supply chain collaboration are More >

  • Open Access

    ARTICLE

    Multi-Objective Optimization of Slow Moving Inventory System Using Cuckoo Search

    Achin Srivastav, Sunil Agrawal

    Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 343-350, 2018, DOI:10.1080/10798587.2017.1293891

    Abstract This paper focuses on the development of a multi-objective lot size–reorder point backorder inventory model for a slow moving item. The three objectives are the minimization of (1) the total annual relevant cost, (2) the expected number of stocked out units incurred annually and (3) the expected frequency of stockout occasions annually. Laplace distribution is used to model the variability of lead time demand. The multi-objective Cuckoo Search (MOCS) algorithm is proposed to solve the model. Pareto curves are generated between cost and service levels for decision-makers. A numerical problem is considered on a slow More >

  • Open Access

    ARTICLE

    Recent Advances in Mobile Grid and Cloud Computing

    Sayed Chhattan Shah

    Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 285-298, 2018, DOI:10.1080/10798587.2017.1280995

    Abstract Grid and cloud computing systems have been extensively used to solve large and complex problems in science and engineering fields. These systems include powerful computing resources that are connected through high-speed networks. Due to the recent advances in mobile computing and networking technologies, it has become feasible to integrate various mobile devices, such as robots, aerial vehicles, sensors, and smart phones, with grid and cloud computing systems. This integration enables the design and development of the next generation of applications by sharing of resources in mobile environments and introduces several challenges due to a dynamic More >

  • Open Access

    ARTICLE

    A Lightweight Approach to Access to Wireless Network without Operating System Support

    Yonghua Xionga,b,d, Jinhua Shea,b,c, Keyuan Jiangd

    Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 275-284, 2018, DOI:10.1080/10798587.2017.1280262

    Abstract Wireless network is crucial for the Mobile Transparent Computing (MTC), in which a mobile device without any Operating System (OS) support needs to load the demanded OSes and applications through accessing the wireless network connection. In this paper, a lightweight approach based on the Boot Management System (BMS) was proposed to ensure the wireless network connection before booting OS. In BMS, the Virtual File System (VFS) technology was used to drive the wireless network card and establish a stable network connection. A prototype of the BMS was tested on ARM11 hardware platform and the results More >

  • Open Access

    ARTICLE

    Gender Recognition Based on Computer Vision System

    Li-Hong Juanga, Ming-Ni Wub, Shin-An Linb

    Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 249-256, 2018, DOI:10.1080/10798587.2016.1272777

    Abstract Detecting human gender from complex background, illumination variations and objects under computer vision system is very difficult but important for an adaptive information service. In this paper, a preliminary design and some experimental results of gender recognition will be presented from the walking movement that utilizes the gait-energy image (GEI) with denoised energy image (DEI) pre-processing as a machine learning support vector machine (SVM) classifier to train and extract its characteristics. The results show that the proposed method can adopt some characteristic values and the accuracy can reach up to 100% gender recognition rate under More >

  • Open Access

    ARTICLE

    Sox Compliance with OEE, Enterprise Modeling and Temporal-ABC

    K. Donald Thama, Asad M. Madnib

    Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 17-26, 2018, DOI:10.1080/10798587.2017.1284411

    Abstract The Sarbanes-Oxley (SOX) Act 2002 resulted from the mounting accounting and corporate scandals in the late 1990s and early 2000s. Since the passage of the SOX Act, companies are facing even greater challenges to meet raised expectations to provide accurate, visible, and timely information for SOX compliance. This research puts forth a systems design framework to achieve a real time, accurate, consistently traceable and easily verifiable SOX compliant technology. Our multidisciplinary and integrative systems design incorporates Overall Equipment Effectiveness (OEE) to ensure effective business performance within a knowledge represented company modeled as Enveloped Activity Based More >

  • Open Access

    ARTICLE

    Research on Application of Location Technology in 3D Virtual Environment Modeling System for Substation Switch Indicator

    Lijuan Qina,b, Ting Wangb, Chen Yaob

    Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 115-122, 2018, DOI:10.1080/10798587.2016.1267250

    Abstract Substation inspection work plays a very important role in ensuring the normal production and the safe operation of a transformer substation. Use of a substation inspection robot can effectively solve the omission problems of a manual inspection. It can further improve the unmanned and automation of substation and improve security of station. A substation inspection system requires the establishment of a spatial position relation between the robot and the inspection object in the monitoring station. Key technology is the spatial location of the object being detected in the substation. The position of inspection object is… More >

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