International Journal of Enterprise Network Management (21 papers in press)
Design and Analysis of Compact T Shape Slotted Patch Antenna for 4G WiMAX Applications
by Sreeja T.K, Jayakumari J
Abstract: A novel single band microstrip patch antenna design is introduced for WiMAX/LTE applications. The proposed antenna has a compact size of 2.7
Keywords: 4G Antenna; Microstrip Antenna (MSA); ADS; WiMAX; LTE.
FROM A LITERATURE REVIEW TO A CONCEPTUAL FRAMEWORK FOR AFFORDABLE QUALITY HEALTHCARE SERVICE USING INTERNET OF THINGS (IOT) NETWORK
by Sanjana Mohapatra, Ajit Kumar, Sanjay Mohapatra
Abstract: There has been significant interest in integration of Internet Of Things (IOT) and healthcare both in academic and corporate world. This can be seen from the fact that number of conferences held and number of special issues in journals that have been published. To establish further in this domain, the purpose of this research is two folds. First it does literature review in healthcare and IOT from 151 papers published from 1998 to 2016. Second, it summarizes findings from literature review in two parts. In the first part, it identifies the antecedents that impact both affordable quality healthcare and developing an enterprise network for IOT. In the second part, it integrates factors that affect both affordable healthcare with IOT. The results of this research will be useful for both practitioners and academicians as the paper discusses how to design a IOT based healthcare network that will reduce cost of healthcare while preventing chronic diseases. The paper also shows the limitations of the present research while describing stimuli for further research.
Keywords: Internet of Things; IOT; Affordable healthcare; Conceptual Framework.
Improving operational efficiency in utility sector through technology intervention
by Sanjay Mohapatra, Subhradeep Mohanty
Abstract: The purpose of this paper is to perform an empirical study of factors which determine the improvement of operational efficiency in utility sector. The data was collected from various stakeholders of utilities sector viz. domestic rural consumers, domestic urban consumers, government employees, non-government employees and experts. The data was collected from 15 villages and three urban areas. Data from 222 respondents was collected, out of which 52 respondents were domestic rural consumers, 50 respondents were domestic urban consumers, 50 respondents were non-government employees, 60 of the respondents were government employees and ten respondents were expert to the utility. It was found out that process reengineering and reducing AT&C losses are the most important factors that determine operational efficiency. Results from the research can be used in other utilities sectors in other geographies.
Keywords: operational efficiency; domestic rural consumers; domestic urban consumers; government employees; non-government employees; experts; exploratory factor analysis; EFA; structural equation modelling; SEM; confirmatory factor analysis; CFA.
Power quality improvement in microgrid using custom power devices
by Prajith Prabhakar, H. Vennila
Abstract: Power quality may be caused when maximum AC loads consume reactive power. Distribution STATCOM is a custom power device (CPD) which is used to control the flow of reactive power in the microgrid. Compensation of reactive power and the other power quality issues are being analysed with the help of model predictive control (MPC) algorithm. The detailed modelling and simulations of MPC with DSTATCOM are presented and implemented along with necessary equations in the MATLAB simulink using the Simpower systems tool boxes.
Keywords: power quality; reactive power control; microgrid; predictive control; distribution static compensator; DSTATCOM.
Multi-objective optimisation of Mahua oil transesterification using response surface methodology and grey relational analysis
by R.R. Neela Rajan, R. Rajesh
Abstract: A mathematical model for the transesterification of Mahua oil was developed at five different process parametres such as catalyst concentration, methanol to oil ratio, reaction time, stirrer speed and extraction temperature. A three-level-five factorial Box-behnken-response surface methodology (RSM) was employed to design the experiment. Analysis of variance (ANOVA) of experimental results at 95% confidence level showed that catalyst concentration and methanol to oil ratio were significant process parametres in the transesterification process and the predicted values were quite close to the experimental values, thus, validating the credibility of the model. The grey relational analysis (GRA) was employed to optimise the process parametres for minimising the viscosity of transesterified Mahua oil and maximising the yield of Mahua oil biodiesel.
Keywords: mathematical model; transesterification; mahua oil; process parametres; Box-Behnken-response surface methodology; RSM; analysis of variance; ANOVA; grey relational analysis; GRA; yield and viscosity.
Identification of influencing factors for the selection of RLSP using DEMATEL method
by S. Robin Divahar, C. Sudhahar, L.M. Karthikeyan, J. Edwin Raja Dhas
Abstract: The selection of reverse logistics service provider (RLSP) can bring economic benefits. Considering the current development of reverse logistics in manufacturing, process and domestic appliances industries, this paper proposes a set of factors influencing selection of service provider and uses a DEMATEL method to establish relation matrixes reflecting the relationships among those factors. The interaction among the criteria is analysed before arriving at a decision for the selection of RLSP. The research enables better understanding of the complex relationships of the key attribute in the decision making environment and improves the reliability of the decision making process.
Keywords: reverse logistics service provider; RLSP; decision making trail and evaluation laboratory; DEMATEL; decision making expert; DME.
Special Issue on: TAMMIE Advances in Supply Chain Operations in Emerging Economies
MODELING AND ANALYSIS OF A FOUR STAGE SUPPLY CHAIN UNDER FUZZY ENVIRONMENT
by Hemalatha Somireddi, Narayana Rao Kandukuri, Ramababu Govada, Venkata Subbaiah
Abstract: In todays competitive arena the success of supply chain depends on its managerial ability to integrate and coordinate all stages of the supply chain. The supply chain predominantly consists of four stages in a typical industry, namely: suppliers, manufacturing plants, warehouses, and retailers. Supply chain shall be viewed as multi objective decision making problem. The objectives include minimization of cost at suppliers, plants, warehouses and retailers. Fuzzy goal programming approach is useful to solve multi objective decision making problems. In this paper, the multiple objectives of the supply chain are aggregated using Werners compensation operator (γ) and compromise solutions on the decisions of the supply chain is arrived. Risk analysis is performed over the optimized model and the effect of uncertainty in terms of increase in suppliers price is studied. Fuzzy goal programming model was solved using LINGO 8 software.
Keywords: supply chain; Multi-objective programming; Fuzzy logic.
LEAN MANAGEMENT PLANNING IN INDIAN CEMENT INDUSTRIES AND ITS EFFECT ON INDUSTRIAL PSYCHOLOGY
by B.T.D. Praveen Varma, Dalveer Singh
Abstract: Cement industries are one of the growing large scale industries which play as a backbone for developing countries. This paper discuss about the analysis of losses and wastage in cement manufacturing process and its rectification using lean tools and methodology mathematically. Employees psychology varies with every new management planning, so psychology towards new lean management planning is also analysed through Questioner to correlate lean management planning satisfaction to stress, job satisfaction, and safety improvement individually using Karl Pearson correlation in SPSS software. The data has been collected from various cement industries at each stage and analysed. Lean management planning resulted in reduction of wastage in transportation of mining, over processing and increase in efficiency of separator in grinding mills, kiln quality control, packing plant efficiency improvement. The correlation analysis also resulted in stress reduction, improvement in job satisfaction and safety conditions with new lean management planning. Finally the result concludes that new lean management planning has positive correlation with the employees psychology.
Keywords: Lean tools; Karl Pearson correlation; SPSS analysis; organisational culture.
ELEMENTS OF A COMPUTER AIDED EMERGENCY MANAGEMENT SYSTEM
by N.M. Sivaram
Abstract: Past and recent disasters, both man made (technological) and natural (non-technological) have produced innumerable casualties and unimaginable harm to life and property. Though the management of factories and the authorities has responded to the challenge and introduced number of measures to minimize the hazards, the real fact is that accident cannot be completely eliminated. For this purpose, it is necessary to prepare an emergency preparedness plan for every administrative or industrial area by the competent authorities. With the help of computer simulation models, knowledge of chemicals; its behavior and availability of input data, it is possible to predict the area affected under different emergency scenarios. Keeping in view the plotting requirement along with linkages of various databases, it has been considered appropriate to use Computer Aided Emergency Management System for effective mitigation and response during an industrial disaster. This paper proposes a composition of a Computer Aided Emergency Management System.
Keywords: Industrial Disaster; Emergency Preparedness; Computer Aided Emergency Management System.
Multi-Objective Optimization for the Vehicle Routing Problem Using Metaheuristics
by Sonu Rajak, P. Parthiban, R. Dhanalakshmi, Sujith S
Abstract: The Capacitated Vehicle Routing Problem is a combinatorial optimization problem that determines a set of routes of minimum distance to deliver the goods, using a fleet of identical vehicles with restricted capacity. The objective of this article it to optimize the total distance required to deliver the goods and also the workload imbalance in terms of distances travelled by the vehicles and their loads. Due to the combinatorial in nature, it requires metaheuristic to solve these types of problems and this is a rapidly growing field of research. Here two metaheuristics such as Ant Colony Optimization (ACO) and Simulated Annealing (SA) are proposed and analyzed for solving this multi-objective formulation of the Vehicle Routing Problem. The results obtained from these two methods were compared and found that the ACO gives better results than the SA for the VRP.
Keywords: Vehicle Routing Problem; K-means Clustering Algorithm; Simulated Annealing; Ant Colony Optimization.
ANALYSIS OF LEAN MANUFACTURING IN AN AUTOMOBILE INDUSTRY A CASE STUDY
by Mahendran Subramanian, Senthil Kumar A, Jeyapaul R
Abstract: The automobile industries are more competitive and customer demand is volatile. The customers are willing to buy the product at low cost with high quality. So common principle is created to reduce the wastage and increase the efficiency of the industry. Lean manufacturing is the best principle to adopt the manufacturing industry. The main aim of this project is reduce the wastage, cost and increase the productivity of the industry. Using lean tools jit, kanban, value stream mapping (current and future state) and man machine chart (current and future) for reduce wastage and cost. In current state value stream map, the waste area is identified. Finally, non value added time is reduced to 28.7 %. The value added time is reduced to 27.84%. The percentage value addition is increased from 3.25% to 3.29%, the total inventory is reduced to 25.07% and man machine ratio is improved as 1.52: 1.26.
Keywords: value stream mapping; man machine chart; 5s; jit; value addition; value added time; non value added time; man machine ratio; kanban; automobile industry.
FRAME WORK OF CONCEPTUAL MODEL FOR QUALITY MANANGEMENT IN SMALL AND MEDIUM ENTERPRISES (SME)
by Gopinath S, Alagu Sundaram VR, Sheshathri R, Narashiman K
Abstract: SME are the backbone of this developing economy, a pushing force the economies all over the globe involving a large workforce. The development of SMEs in todays concept stands for the improvement in Quality. This study aims to explore the quality system adopted by some SMEs. Several studies were done on the factors acting as an obstacle or risk in implementing the quality system, which directly affect the total efficiency of the SME.The results of the study indicated few critical factors of quality which were not given importance in the organization. For sustaining their competitiveness, they have to implement some of the quality systems and embrace quality management techniques efficiently. In this paper the conceptual model is suggested to enhance the quality system in SME to improve the Gross Domestic Product.
Keywords: Quality risk; SME Small and Medium Enterprises; QM quality management; GDP Gross Domestic Product.
A Case Study on Hazard Evaluation on Catering Service in Educational Institution
by Kanaga Sundara Satishwaran K, Sivasubramanian M, Aravind Raj Sakthivel
Abstract: Hazard Evaluation plays a decisive role in the Catering Service. In order to intensify the Safety of the Catering Service, a Hazard Assessment and its Evaluation is conducted in educational institution. Safety Audit is a formal procedure for assessment of the accident potential and expected safety performance for any service or system. Safety Audit is being performed with appropriate checklists including Occupational Hygiene, Worker Safety, Storage & Handling and General working conditions. Fault Tree Analysis (FTA) is a method that directly focuses on the modes of failure. This paper presents FTA for chance of fire accident due to leakage of Liquefied Petroleum Gas (LPG) in storage yard of Catering Service. Correlation and Regression Analysis were used to get the lines of regression in order to place it in Normal Distribution. The probability of fire accident due to leakage of LPG is being calculated and substantial suggestions are provided.
Keywords: Safety Audit; Fault Tree Analysis; Catering Service; Educational Institution.
SELECTION OF SUPPLIERS USING SWARA AND COPRAS-G
by Rajesh G, Malliga P
Abstract: In order to optimize a supply chain, the effective management of suppliers plays a key role. Firms seeking competitive advantage are participating in cooperative supply chain arrangements, such as strategic partnerships, which combine their individual strengths and unique resources. Supplier selection is a multicriteria decision making problem which includes both qualitative and quantitative factors. In the present scenario environmental criteria should also be given due importance, this further increases the challenge of supplier selection. Generally, decision makers judgments are often uncertain and cannot be estimated by an exact numerical value. The grey systems theory is a powerful tool to deal with uncertain information. This paper presents a structured model for evaluation and selection of strategic supplier. Stepwise Weight Assessment Ratio Analysis (SWARA) is applied to decision making in order to calculate the relative importance of the criteria. The COmplex PRoportional ASsessment of alternatives with Grey relations (COPRAS-G) method is used for supplier evaluation and selection of strategic supplier. A case study is presented to demonstrate the applicability of the proposed model to select a strategic green supplier.
Keywords: strategic supplier selection; complex proportional assessment of alternatives with grey relations; COPRAS-G;stepwise Weight Assessment Ratio Analysis; SWARA; MCDM; Green supplier selection.
Special Issue on: Enterprise Network Management Technologies and Tools for E-commerce, Mobile Commerce and Social Commerce Frameworks
Entropy a new measure to gauge search engine optimization
by Batri Krishnan
Abstract: This article tries to analyze, and measure the uncertainty associated with the relevant document selection in web-search engines. The web-search engines process, organize the web-documents based on their index term's occurrence frequency. The number of index terms, and their occurrence frequency influences the relevance calculation. The variation in term frequency either in processed web documents or in users' query influences the relevance calculation. This leads to an uncertainty associated with the document selection, and its relevance calculation. In this article, we proposed a new measure called Entropy, to calculate the uncertainty associated with the document selection. The Entropy can be measured by varying the documents' term frequency or user's query term frequency. As the web documents can't be changed, we used variation in user's query term frequency to measure the uncertainty associated with the document selection in web-search engines. The experiments are conducted on two search engines namely 'Google', and 'Bing'. The query's term frequency is varied and given to the search engines. Based on our proposed method, the uncertainty is calculated for the search engines. The high Entropy value indicates the high uncertainty associated with the document selection. The high uncertainty gives scope for search engine optimization. From the high uncertainty search engines, we can extract more relevant documents. It can be used as a performance indicator.
Keywords: web search engines; uncertainty; entropy; document selection; Google; Bing; Search Engine optimization.
Classification Approach to Avoid Link Failures in Wireless Sensor Networks in Mobile Virtual communities and teleworking
by Manthandi Periannasamy Subramanian
Abstract: Security issues are the primary issues in Wireless Sensor Networks (WSN) due to its large network coverage and number of nodes. The attackers in WSN attack the particular node which has low energy level and converts this node into malicious node. The formation of malicious node is the primary reason for link failures between nodes. This paper proposes an efficient methodology to detect the malicious nodes in WSN using feed forward back propagation neural netwok classifier. This classifier differentiates the malicious node from trusty node based on the extracted features of the test node. The performance of the proposed malicious node detection system is analyzed interms of detection rate, Packet Delivery Ratio (PDR) and latency. The experimental results are compared with state-of-art methods
Keywords: Security; malicious nodes; features; PDR; link failures.
Wireless system for flight safety industry
by Kavitha V
Abstract: Many parameters can be measured and stored in the black box. The details stored in the black box are essential for the analysis of causes of the accident. In the formal black box, data is stored and it can be retrieved only after the identification of black box after crash. So it is very difficult to identify the exact location of the black box after a crash. Many leading officials and famous personalities died in air crashes and it takes a lot of time to identify the location of crash. It leads to wastage of money and time. Saving human life is the basic nature of humanity. In this article, black box data is transmitted to an earth station. The details are updated to the base station through wireless medium. It is transmitted to selected base stations by calculating the shortest path between them using ad hoc algorithm. Ad hoc algorithm is a multi hop network algorithm which switches to various stations by calculating its distance. Thus black box data is updated to base station wirelessly using ad hoc algorithm.
Keywords: Flight data recorder; Ad hoc algorithm; wireless communication; black box; on board data.
SaaS Multitenant Performance Testing Over Social Networks
by Parthiban M
Abstract: Recent years, cloud computing is description for facilitating suitable on-demand network access. In cloud, computing multi-tenancy plays a significant role on software as a service (SaaS). Structure of SaaS multi-tenant cloud aware applications initiates several new challenges the central one being a tenant. In cloud testing, tenant applications need to be tested in addition to performance testing be used. At the same time as numerous performance-testing techniques exist; most of them produce only fixed progressions of test configurations. This paper focuses on the challenges for Multi-tenancy testing in SaaS and analyses the configuration dynamically in which SaaS testing differs from testing conventional applications. The paper proposes performance testing and fittest function of each tenant. For fitness function, GASE algorithm is used which combines a Genetic algorithm and a Symbolic execution. This proposed algorithm uses the above performance testing values for obtaining the best of each tenant, in the form of fitness generations. A real experimentation is proposed using a multiple tenants on Open Stack cloud computing environment over Social networks.
Keywords: SaaS Cloud; Multi-tenant Testing; Software Testing; Performance Testing; Fitness Generations.
An Anomaly-based Network Intrusion Detection System using Ensemble Clustering
by Jackins V
Abstract: Due to the rapidly increasing use of internet services and computer applications all over the world, the numbers of hacking and intrusion incidents are increasing year on year as technology rolls out. Therefore, Intrusion Detection Systems (IDS) are the prime need in todays scenario . Misuse detection can detect previously known attacks but cannot detect new types of attacks. To overcome this limitation Anomaly detection techniques are often used and proven to be an effective method. Anomaly detection can make use of unsupervised techniques to identify new types of attacks . In this paper, an unsupervised technique is used for Anomaly detection based on hybrid clustering algorithms. The technique uses two algorithms in order to obtain accurate and high detection rate of attacks.  Incremental Support Vector Machine (ISVM) algorithm is used to preprocess the dataset. After Preprocessing, Fuzzy C Means (FCM) algorithm is adopted to detect the anomalies. FCM algorithm isolates the normal and abnormal data effectively. The processed data is fed to the DBSCAN algorithm for further detection of anomalies. The results of the detection system are communicated to the Intrusion Prevention System (IPS) which is responsible for sharing a suitable response to an anomalous request. The proposed hybrid algorithm is applied for KDD Cup 1999 dataset, Gure Kdd Cup data base (2008) and the results shows high detection rates and low false positive alarms. Further, the technique is tested with a real time data and it is observed that a high detection rate of anomalies with enhanced true positive rate.
Keywords: Intrusion Detection System (IDS); Intrusion Prevention System (IPS).
Power Efficient Digital Circuits for ECG Front End Data Acquisition Mobile System
by Sasi Kala
Abstract: The electrical motion of the heart is characterized by the ECG signal. ECG elucidation can be used to detect the heart syndrome. This technology has an efficient diagnostic tool, due to the high regard of portable electronic products, low power system has fascinated more consideration in recent years. This work presents digital ECG data acquisition system to diminish the power consumption .In the proposed work, analog block are not used, they convert the input voltage into a digital code by delay lines. This digital architecture is capable of operating with a low supply voltage such as 0.3 V and 0.1 V. In this architecture analog blocks such as low-noise amplifier (LNA) and filters are not used. A digital feedback loop is employed to cancel the impact of the dc offset on the circuit, which eliminates the requirements for coupling capacitors. The circuit is implemented in 130nm and 65nm CMOS process. The simulation results illustrate that the front-end circuit of digital architecture for 130nm consumes 18.9pW and 65nm consumes 109pW of power.
Keywords: ECG; analog; digital; acquisition; delay; offset.
IMPACT OF TALENT MANAGEMENT PRACTICES ON EMPLOYEE RETENTION AN EMPIRICAL STUDY IN SELECT IT COMPANIES WITH SPECIAL REFERENCE TO CHENNAI
by RAVISHANKAR Sathasivam, S. KUPPUSAMY
Abstract: The major worldwide corporations have been rising to the challenge that the talent management is more complicated and entangled. This study is mainly emphasized on the success of organization due to obtain talent management and also retain the talent employees in the best way of highlighting selected IT companies. The aim of this research is mainly spotlight on retain the employees by the way of managing their talent in selected IT companies. The sample size has been taken as 150 by using simple random basis. For proofing the hypotheses setting, percentage analysis, mean score analysis, Anova analysis, Chi-square analysis and Correlation analysis have been used in this research. This study also emphasized regarding the employees are benefited and more equipped with the programmes related to talent management. And also in this research, the additional calculations are revealed the understanding of the programs helps to retain the employees. The analysis mainly focused that majority of the respondents are satisfied with the result of this program. Nearly all the employees stated that the programs related to talent management are enhancing the good working output and also decrease the employee turnover in the organization. The majority of the respondents are highly satisfied towards the talent management program helps to show out the strength and weakness of the employees.
Keywords: Talent Management Practices; IT companies; Retention; Satisfaction.