International Journal of Enterprise Network Management (29 papers in press)
Labor productivity improvement using hybrid Maynard Operation Sequence Technique and Ergonomic assessment
by Medha LNU, Sharath Kumar Reddy, Vimal KEK, Aravind Raj Sakthivel, Jayakrishna Kandasamy
Abstract: Productivity measures how efficiently productions inputs, such as labor and capital, are being used in an economy to produce a given level of output. With growing competition across the globe, contemporary organizations are under pressure to exploit the untapped potential of the labour. Maynard Operation Sequence Technique (MOST) is a work measurement system that can be easily implemented and practically maintained. The basic ergonomic analysis was also conducted for understanding the interactions among the labour and other elements of a system to optimize human well-being and overall system performance. In this article, MOST is used for time measurement study and minimization of fatigue among the operators by using ergonomics in a stamping unit. The primary objective of this review was to reduce the motion of a task in order to reduce the effort and time to perform the task to achieve higher production and better service level by the ergonomic approach. Ergonomics accounts the user's capabilities and limitations to ensure that tasks, functions, information, and environment suit each operator in any organization. Scoring sheets approach was used in conducting ergonomics study to decide the fitness of any unit on the basis safety and posture analysis of the operator. The hybrid approach (MOST-Ergo) can be used to improve the productivity of any organization by reducing the time and fatigue consumed by the operator during the operation.
Keywords: maynard operation sequence technique; MOST; time study; standard time; productivity; ergonomic work posture analysis.
Context-sensitive contrastive feature-based opinion summarization of online reviews
by Lavanya Sk, Parvatha Varthini
Abstract: Online reviews discuss one product at a time. It becomes a time consuming process for a user to compare and contrast two or more products. Contrastive Opinion Summarization was introduced to help users by producing a useful contrastive summary. A new COS approach called Context-Sensitive Contrastive Opinion Summarization is introduced in this paper. This method extracts feature and opinions of a product based on context term in a sentence and compare them with opinions of another product to develop a brief summary comprising of contrastive feature-opinion pair. Traditional COS methods rely on content similarity and contrastive similarity functions based on simple semantic term matching using WordNet. To perform in-depth semantic analysis, more advanced similarity functions are needed. A clustering algorithm is proposed which adds context- similarity into PLSA model in semantic term matching by incorporating context priors from Conceptnet. In addition the algorithm attempts to align contrastive feature-opinion pair in each cluster to generate a contrastive summary about different products. Compared to previous methods, the proposed model can integrate context sensitivity and better align the contrastive opinion pair for producing better arguments summary. Experimental were conducted over the benchmark UCI Machine Learning Repository Car Data Sets and the results exhibit the usefulness of the context- similarity over the baseline content similarity and contrastive similarity measures.
Keywords: Feature based Opinion Summarization; Contrastive summary; Contrastiveness; Representativeness;Context-aware sentiment analysis.
Owner-managers perceptions of corporate social responsibility practices within small and medium-sized accounting firms - an Australian study
by Sujana Adapa, Josie Fisher
Abstract: This article explores conceptualisations of Corporate Social Responsibility (CSR); perceptions of its importance; and practices implemented by owner-managers of Small and Medium Sized Enterprises (SMEs) in Australia. Qualitative in-depth interview data was obtained from 17 owner-managers of small and medium-sized accounting firms operating in Sydney. Inductive content analysis was conducted by the researchers to identify the concepts and themes of importance by using Leximancer qualitative text analytical software. The results revealed that the owner-managers of these firms were aware of the basics of social responsibility and recognised that the adoption of responsible business practices contributes to business success. The owner-managers perceptions of the practices of CSR varied based on the firm size that resulted in the emergence of an additional category of family-owned firms. Additionally, a subset of small micro-sized firms also emerged on the basis of their CSR practices and unique orientations towards the concept of CSR as highlighted by the owner-managers of the accounting firms in Sydney. As outlined by the owner-managers of the small and medium-sized firms in the study, retaining market position seemed to be critical in the adoption of CSR practices in accounting firms. Thus, a majority of the small and medium-sized accounting firms included in the study sample seemed to adopt reactive CSR practices to retain their market position, although very few engaged in following proactive CSR practices.
Keywords: corporate social responsibility; small and medium-sized firms; owner-managers; stakeholders; firm size; accounting.
MAXIMISING THE EFFICIENCY OF KEYWORD ANALYTICS FRAMEWORK IN WIRELESS MOBILE NETWORK MANAGEMENT
by Geetha Kannan, Kannan A
Abstract: Nowadays, data analytics in spatial database objects are associated with keywords. In the past decade, searching the keyword was a major focusing and active area to the researchers within the database server and information Retrieval community in various applications. In recent years, the maximizing the availability and ranking the most frequent keyword items evaluation in the spatial database are used to make the decision better. This motivates to carry out research towards of closest Keyword Cover Search. Which, is also known as Fine Tuned keyword cover search methodology, it considers both inter-object distance and keyword ranking of items in the spatial environment. Baseline algorithm derived in this area has its own drawbacks. While searching the keyword increases, the query result performance can be minimized gradually by generating the candidate keyword cover. To resolve this problem a new scalable methodology can be proposed in this paper.
Keywords: Information retrieval; Keyword searching; Nearest Neighbor; Point of Interest; Spatial database.
IMPROVING MECHANICAL STRENGTH ON WELDED JOINTS BY USING OPTIMIZATION TECHNIQUE
by Pandiyarajan R
Abstract: The welding process is an important component in many industrial operations. Welding input parameters play a very significant role in determining the quality of a weld joint. The joint quality can be defined in terms of properties such as weld-bead geometry, mechanical properties, and distortion. Generally, all welding processes are used with the aim of obtaining a welded joint with the desired weld-bead parameters, excellent mechanical properties with minimum distortion. So that in this paper presents find the suitable input parameter in welded joints and then find the full penetration of the material. By using on design of experiment (DOE), Genetic Algorithm algorithms and computational network are widely used to develop a mathematical relationship between the welding process input parameters and the output variables of the weld joint in order to determine the welding input parameters that lead to the desired weld quality of the welded material.
Keywords: Welding; DOE; Parameter Optimization; GA; Regression Equation.
A Study on the Impact of Psychological Empowerment on Motivation and Satisfaction among the Faculty Working in the Technical Educational Institutions in India based on Age and Work Experience difference
by Prabha Mariappan, Punniyamoorthy Murugesan, Nivethitha Santhanam
Abstract: The purpose of this study is to investigate how the impact of PE on motivation and satisfaction varies according to the faculty members age and work experience. Data were collected from 402 faculty members employed at technical institutions across India. From the results of the study, it is evident that faculty members with above average age exhibited higher PE, motivation, and satisfaction. Subsequently, faculty members with above average experience possessed a higher level of PE and satisfaction. Further, the implication of these findings suggests that the proposed framework will act as a benchmarking tool to measure the psychological empowerment among the faculty members.
Keywords: Psychological Empowerment; Age; Work experience; Faculty.
A Study on the Impact of Macroeconomic Indicators on the Stock Price by relaxing the Assumptions of Stationary in Time series Data in a General Linear Model
by M.I. Nafeesathul Basariya, Punniyamoorthy Murugesan
Abstract: A model has been evolved by keeping the stock index as dependable variable and Gross Domestic product, Consumption and Consumer Price Index as independent variables. The assumptions to arrive the model are tested. The behavior of the model is studied by including and relaxing the important assumption of stationarity in the economic data. It was finally found that the model becomes significant if we violate the stationary assumption for both dependent variable stock price and independent variable Consumer Price index, Consumption and Gross Domestic Product. This is evidenced by demonstrating the model by using the data related to the macroeconomic variables of Developed countries USA, UK, Emerging countries India and Brazil, Frontier Countries Latvia and Estonia.
Keywords: Consumer Price Index; Consumption; Gross Domestic Product; Stock Prices; Stationarity.
Mechanical Integrity of PEEK Bone Plate in Internal Fixation of Femur: Experimental and Finite Element Analysis Towards Performance Measurement
by Navid M.P.Davani.K, ELANGO NATARAJAN, Balaji Raghavendaran Hanumandarao, Sivakumar Paramasivam
Abstract: Internal fixation is a surgical method used to stabilize the fractured bone in order for a proper callus formation. Many materials, including stainless steel and titanium, have been used in prosthetic plates. The studies show problems associated with the use of metals plates due to mismatch of stiffness of the bone and prosthetic plate. The effect of this phenomenon, called stress shielding could be seen not only at the healing region but also in the entire bone itself. Therefore, modern materials, especially polymers, with a stiffness close to the human bone have been devised to transfer more compressive stress to the bone. Of the existing biomaterials, PEEK (poly-ether-ether-ketone), has become an excellent alternative to metal plates. The aim of this research is to investigate the effectiveness of PEEK plate in stress transformation into the fractured bone and to conduct performance measurement between PEEK and Steel. Uniaxial tensile test and fatigue tests are conducted as per ASTM standards to measure mechanical properties such as tensile strength, modulus of elasticity and fatigue strength. The measured mechanical properties of PEEK are further applied in finite element analysis to measure the stress transformation between plate and femur bone. Fatigue analysis is also carried and the simulation results reveal that PEEK plate is more desirable in terms of reducing stress shielding in the femur than that of stainless steel. Taguchis single response analysis is used to optimize the process parameter and material selection. The weight reduction and cost reduction are also observed. It is perceived from the Taguchi analysis that the PEEK is the best appropriate selection than SS316L for stress transformation in to the fractured bone in inducement of principal stress and shear stress point of view. A graph between principal/shear stresses and material/distances are plotted to verify the input dependency. It is evident from the plots that the PEEK performs well at initial and decreases at later, which is due to more negative stress.
Keywords: femur; stress shielding; prosthetic plate; internal fixation; biocompatible; fractured bone; thermoplastic; internal fixation.
A literature review on the anomalies observed in the newsvendor ordering behaviour
by S. Yamini
Abstract: In a classical newsvendor setting, the retailer places an optimal order quantity by finding a trade-off between overstocking and understocking of products. However, it has been observed that the managers do not always order an optimal quantity while making inventory decisions, due to influence of various behavioural biases. Infact, the evidences say the experienced managers also exhibit this tendency. In the early 2000s, researchers in the area of behavioral economics have taken roots to analyse the behavioral dynamics influencing the inventory ordering decisions in newsvendor settings. Later, a large number of research studies has focused its attention on understanding the cognitive biases and heuristics involved in the process of inventory decisions. The research has then progressed in the direction of understanding the role of learning dimensions and information acquisition in making better inventory decisions. Further, researchers have also found if the individual heterogeneity such as gender differences, cultural differences, and hierarchical differences influence the ordering pattern of individuals. Infact, few research studies focus on the impact of cognitive reflection and other individual traits on the stocking decisions of the newsvendor. Another class of literature looks at the anomalies observed in various non-conventional newsvendor settings such as newsvendor ordering multiple items, simultaneously setting the price while ordering and placing order when the competition prevails. This article provides a detailed summary of the research progress in the behavioural newsvendor problem. It also provides a framework of the existing literature and identifies the research gaps to point to future research possibilities and priorities. The framework gives a systematic approach to confirm the existence of a substantial scope of research opportunities and points to specific areas for further research.
Keywords: Behavioural Economics; Behavioural Operations; Experimental Economics; Newsvendor ordering; Bounded Rationality; Cognitive biases and heuristics.
A development in the existing Non-Linear model and to study its impact on the Nash equilibrium in a two-person non-zero sum game
by Sarin Abraham, Punniyamoorthy M
Abstract: A non-zero sum two-person game can be formulated as a non-linear program problem for finding the Nash equilibrium. Although intensive research has been done in developing methods for solving such non-linear problems, very less work has been done in modifying the existing model in order to generate a more refined Nash solution. The study focuses on modifying the nonlinear programming model by incorporating some additional constraints and analyzing if the altered model would generate a better result. The utility of the additional constraints is discussed, in terms of the payoff received by either of the players, for different problem situations.
Keywords: Non-Linear Programming; Nash Equilibrium; Optimality; Feasible Solution Space.
Designing an Integrated Multi-Channel Multi Product Closed Loop Sustainable Supply Chain Network Meeting Customer Requirements
by T. Niranjan, P. Parthiban
Abstract: Indian manufacturing firms which started by focusing on offline exclusive sales (single channel), are expanding their sales to online domain (multi channel) today. They still facing lot of difficulties in interfacing various channels efficiently in their multi channel supply chain network, this integration of different channels increases its customers range to purchase and customer comfort. Consideration of green and recycling concepts in supply chain has become essential due to consumers demand for products which are eco-friendly and also strict government regulations. This paper aims to develop a multi product closed loop supply chain model for an Indian kitchen ware firm to address their integrating issues between multiple channels take into consideration the environmental and economic sustainability. IBM CPLEX optimizer is used to solve the model for minimising the transportation cost between various stages of supply chain and the emissions from plant and vehicles. To take into account the real world factors of customer behaviour, four types of customer zones are selected to accommodate different customer choices. The results show how the optimal supply chain structure is affected by these multi channel customer preferences.
Keywords: Sustainable; supply chain; multi-channel; closed loop.
Network and Government Intervention influencing Sustainability and Business Growth of SMEs: A study with Indian MSMEs
by Maitreyee Das, K. Rangarajan, Gautam Dutta
Abstract: The role of corporate sustainability in driving business performance has been well researched in the case of big corporations for developed nations. But in the case of small and medium enterprises (SME) very limited research has been conducted to explore the business benefit derived out of sustainable business practices. In spite of their contribution to the economy, most of the SMEs fail to maintain a sustainable growth path in the long run. The current paper tries to estimate how effective utilization of their business network and government intervention influences the growth of SMEs through their sustainability performance. A self-administered questionnaire was developed and responses were collected from 200 SMEs in and around Kolkata. The data was analysed using Partial Least Square techniques of Structural Equation Modeling in SPSS. Results showed that both government intervention and network utilisation positively influence business growth of SMEs through their social and environmental sustainability. Also, the size of capital investment has a moderating effect on the strength of this relationship. The practical implication of the model in the Indian context has also been discussed along with future research possibilities
Keywords: Small and Medium Enterprises; Corporate Sustainability; Sustainable Business Growth; Social and Environmental practices; business performance; Network; Collaboration; Government intervention.
Experimental Investigation on Four-Stroke Catalytic Coated Spark Ignition (SI) Engine to Promote Cleaner Environment
by Sureshbabu Yessian, Ashokavarthanan -
Abstract: In the present scenario, automobile manufacturing industries face challenges in marketing vehicles with internal combustion (IC) engine to customers due to strict government regulation on emission norms and customers expectation on better engine performance. Hence, it is very important to identify some technique to reduce the emission level and also to improve the engine performance. The catalytic coating is one of the most suitable techniques for reduction of pollution level and increasing the engine performance. In this paper, the outcomes of investigations carried out on the emission control and engine performance of catalytic coated single cylinder four- stroke spark ignition (SI) engine are discussed in detail. The engine combustion chamber and piston crown were coated with copper (catalyst). The performance parameters of catalytic coated engine such as torque, brake power at different engine speed and load conditions were measured using two-wheeler chassis dynamo meter. In this investigation, a comparative study was also done in parallel with conventional (uncoated) SI engine. The results showed that copper coated engine has significantly reduced levels of carbon monoxide (CO), hydrocarbon (HC) and carbon dioxide (CO2) emission compared to conventional engine (uncoated).
Keywords: Emission; Performance; Coating; Marketing management.
Special Issue on: BDSCC-2018 Big Data Innovation for Sustainable Intelligent Computing
A Collaborative Defense Protocol against Collaborative Attacks in Wireless Mesh Networks
by Diana Jeba Jingle, Mano Paul P
Abstract: Wireless Mesh Network is an evolving next generation multi-hop broadband wireless technology. Collaborative attacks are more severe at the transport layer of such networks where the transmission control protocol's three-way handshake process is affected with the intention to bring the network down by denying its services. In this paper, we propose a novel Collaborative Defense Protocol (CDP) which uses a handshake-based verification process and a collaborative flood detection and reaction process to effectively carry out the defense. This protocolpresentsa group of monitors that collaboratively entail in defending the attack; thus reduces the burden on a single monitor. Moreover, this paper proposes a novel transport layer Post-connection flooding attack that occurs after establishing a TCP connection and we show that CDP can detect and mitigate this attack.The CDP protocol has been implemented in Java and its performance has been evaluated using essential metrics. We show that CDP is efficient and reliable and it can identify the attack before any major damage is occurred.
Keywords: Collaborative attack; handshake-based; request packets; regular packets; connection flooding.
Reliable Energy Preserving Cluster Based Routing Policy with Optimal Route Selection for Wireless Sensor Networks
by Yasotha S M, Gopala Krishnan V
Abstract: Wireless Sensor Networks (WSN) is one of the hottest research areas, owing to its wider applicability. Due to its effectiveness and inexpensiveness, most of the domains enjoy the benefits of WSN. However, WSN still combats with the major issue, which is energy efficiency. Though WSN is capable of performing numerous activities, the energy stringency controls the actual functionality of WSN. Energy conservation is the crucial requirement of WSN and this paper attempts to propose an energy preserving cluster based routing policy for WSN. The underlying roots of the proposed approach are clustering approach and optimal route selection. The sensor nodes are clustered and the cluster leader is selected by means of trust level of the nodes. The optimal route selection is performed by cuckoo search algorithm. The performance of the proposed routing policy is analysed and evaluated in terms of packet delivery rate, latency, energy consumption and network lifetime. The proposed approach shows better network lifetime than the existing approaches.
Keywords: Wireless Sensor Networks; network lifetime; energy conservation; routing.
An Empirical Analysis of ICT tools with Gamification for Indian School Education System
by Charvi Wadhwa, Prabu P
Abstract: Information and Communication Technologies (ICT), is used as a part of different fields, for example, training, business and health-care. The main objective of this paper is to introduce ICT as a better method to teach and test students performance so it can become a part of school curriculum and enhance learners experience. To accomplish this objective, multiple literature were studied to get insights of the factors associated with ICT and Gamification. Based on the findings, a survey was conducted on teachers to know the favorability of ICT in modern schools. Based on the response, two application prototypes are developed for students to get their performance and results that support the study. Most importantly, similar concepts were taught to students using both, traditional and ICT based approach. A test was conducted via both the methods. It was discovered that the performance of the students increased by 13 percent when the modern approach was followed to conduct the test.
Keywords: ICT; NodeJS; MongoDB; VR; virtual reality; gamification; e-learning; motivation.
IoT based Tracking Application to monitor goods carrying vehicle for Public Distribution System in India
by Sathish Kumar Ravichandran
Abstract: Designing a secured transportation system to handover food items to various fair price shops is one of the objectives of smart city development in India. In this paper, an IoT based tracking solution for moving goods carrying vehicle is proposed. A hardware prototype model is developed using different sensors with GPS/GPRS tracking module and is attached to the vehicle. An alarm is raised to make decision in case of trouble or malfunction. The data generated by the model during the movement of vehicle is encrypted using RSA algorithm and sent to cloud for monitoring by an application developed using PHP and analysis using Map Reduce programming model. Experiments are conducted to study the feasibility of the developed model during deployment. From the experiment it is observed that, the developed hardware model and the application meet the objective of monitoring vehicle, safer recovery in case of malfunction and secured delivery of items.
Keywords: Internet of Things; Vehicle Monitoring; Sensors; Hardware model; Application development.
Realignment of supply chain for profitability: overcoming the financial challenges of e-retailing in India
by Balkrishan Sangvikar, Ashutosh Kolte, Avinash Pawar, Khadke Kaustubh
Abstract: The supply chain profitability is a major concern for organizations due to cost elements involved in the supply chain functions. The financial challenges are more intense in e-retailing business than other sectors where the dependency on the supply chain is highest. The supply chain plays a crucial role in deliberating the cost of product and profitability for the manufacturers, distributors, and retailers. This paper analyzes the supply chain issues faced by e-retailers and proposes ways to save cost, improve performance, and cater to the needs of customers. This study has adopted the descriptive research design and conducted interviews of employees, warehousing staff, and delivery associates of e-retail companies (Flipkart and Amazon) to get the inferences. The outcome of the paper signifies the means for cost optimization, enhancement in operations, and improvement in the delivery performance of e-retail supply chains. It also proposes the cost management model for e-retail supply chains to operate effectively in the Indian environment.
Keywords: E-retailing Supply Chain; Supply Chain Cost; Supply Chain Optimisation; Innovation in Supply Chain; Strategic Cost Management; Supply Chain Performance.
Special Issue on: Digital Technologies for Enterprise Network Management
AN ENVIRONMENT-ADAPTIVE DISTRIBUTED NODE JOINING APPROACH AND A SECURE CLUSTER BASED ARCHITECTURE FOR MANET
by Serin V Simpson, Nagarajan G
Abstract: The increased popularity of mobile ad hoc networks (MANET) is only due to their unique characteristics. It requires highly efficient mechanisms, in order to cope with the dynamically changing topologies. The environmental changes in turn increase the complexities of algorithms used to maintain the topology. A keen analysis of network scenarios is required to maintain a balanced network in all aspects. A centralized monitoring system can address this issue up to a tolerable level. But, that in turn increases the risk of one point failure as well as the problems due to unavailability. The main goal of this work is to propose a secure, environment-adaptive distributed node joining approach for MANET. It uses a cluster based network model. This approach reduces the risk factors at the time of node joining as well as it can maintain the network in a balanced manner. The aim of this work is mainly focused on the problems of the MANET due to the dynamically changing topologies.
Keywords: MANET; Cluster Based architecture; EDCT; Secure Routing; Node Joining Algorithm.
Profile matching of online users across multiple social networks: A text mining approach
by Deepesh Srivastava
Abstract: Profile matching of a person using various online social networks is a non-trivial task. Major challenges in developing a reliable and scalable matching scheme include the non-availability of the required information or having contradictory information for the same user across these networks. In this study, we propose a method that utilizes the contents generated by or shared with users across their online social networks. With the help of text mining techniques, we extract the high frequency words and common high frequency words in the user's posts/tweets (content attributes). Based on experiments with real datasets, this method provides 72.5 percent accuracy in identity matching amongst users profiles. Given the data, we develop classification models, and we achieved accuracy and F1 score of 72.5 percent and 67.0 percent respectively. This study will be helpful to enhance the accuracy of the identity resolution frameworks.
Keywords: Keywords: Classification models; content attributes; identity matching; identity resolution; online social networks; text mining.
Digital Commerce in Enterprises
by Sivaram M, Porkodi V, Jayanthiladevi A
Abstract: Digital technology in digital age change the way of people live, interact and work. Digital transformation in business improves the performance, profit and customer satisfaction. Digital commerce integrates digital technology in all arenas of business which change the business operation, customer experience and agility for delivering value to customers. Digital commerce provides a global reach by increasing accuracy of business process, level of client provision , stream of belongings ,data and reduces cost of professional. Digital commerce change the way consumer makes their purchase decision. The enterprise should understand the perspective of digital commerce in business process to foresee the technological impact on integrating business function and process. Digital/Electronic commerce reduces a lot of overhead in the economy.
Keywords: Business value; Enterprise; E- Commerce; online retailing,Technology.
SWARM INTELLIGENCE BASED TASK SCHEDULING ALGORITHM FOR LOAD BALANCING IN CLOUD SYSTEM
by Komalavalli D, Padma T
Abstract: As on miniature devices to military applications, the Cloud computing plays a vital role. Building efficient cloud management systems will lead to improve extraordinary features in the applications of cloud services. In cloud atmosphere, enormous tasks are performed simultaneously; an effectual Task Scheduling is very important role to get better performance of the cloud system. An assortment of Cloud-based Task scheduling algorithms is offered that schedule the users task to resources for implementation. The innovation of Cloud Computing, conventional scheduling algorithms cannot gratify the clouds requirements, the researchers are frustrating to modify conventional algorithms that can accomplish the cloud needs similar to rapid elasticity, resource pooling and on-demand self-service. Also, the Priority becomes an important task when dealing with critical functionality systems. Real world invocations are needed to make an efficient selection in cloud services through a collection of functionally equivalent services. This research aims to detect a novel method to predict the system functionality without consuming more time and less expensive for implementation. Investigation on swarm intelligence-based task scheduling is presented. This will improve the power consumption by reducing overloads when more services opt for a single load. Experiments were carried out to test the effectiveness of the method.
Keywords: Task Scheduling; PSO; Bat algorithm; Swarm Intelligence; Cloud computing; Load balancing; low power.
Design of an Enterprise Cloud-Based Intrusion Detection System Model, using Back Propagation Network Based on Particle Swarm Optimization Algorithm
by Nagarajan G, G.V. Sushmitha, R. Susmitha
Abstract: On this paper the IDPS utilizes a close-by computational lattice to go over malevolent practices in a genuine time way. On this paper, the machine proposes a wellbeing gadget, named the interruption location and assurance machine (IDPS for snappy) at machine name degree, which makes individual profiles for clients to save music of their usage conduct as the scientific capacities. The proposed sketches are showed up with virtual legal sciences strategy and interruption location system. The measure of hacking and interruption episodes is developing alarmingly every yr as new time takes off. in this endeavour, the apparatus planned interruption identification gadget (ids) that executes predefined calculations for distinguishing the strikes over a system. In this way, in this undertaking, a security gadget, named the inner interruption identification and insurance framework (IIDPS), is proposed to go over insider ambushes at sc degree by means of utilizing measurements mining and legal strategies. The gadget can discover a buyer's scientific abilities through examining the relating SCS to upgrade the precision of assault identification, and ready to port the IIDPS to a parallel framework to additionally abbreviate its recognition response time on this mission.
Keywords: virtual legal sciences strategy.
PERFORMANCE TESTING IN LEXICAL ANALYSIS ON LATEST TWITTER TRENDS for ENTERPRISE NETWORK USING PIG
by Desurkannadasanr Rajendran
Abstract: Twitter usage is outgrowing each day and so is the ever changing enterprise trend. The data flow keeps on increasing each day through tweets and thus analysis on the latest trends in enterprise are done by using most widely used framework for processing large datasets-Apache Hadoop. This paper presents an overview of Twitter Trend analysis using Apache PIG in Hadoop framework and it performance will be tested using lexical analysis in enterprise management. Hadoop is preferred over other frameworks due to its robustness, scalability, cost effectiveness and high speed which makes parallel processing over distributed network easy. The paper also shows results obtained through lexical analysis done on the Hadoop cluster to show efficiency of the program .
Keywords: Use Twitter; Apache; Hadoop; PIG; Lexical Analysis; Enterprise; robustness; scalability; parallel processing.
Special Issue on: Applications and Innovations of Enterprise Networking Management in Social Commerce
NEURO FUZZY COGNITIVE CONNECTION FUNCTIONAL POINT FOR ENTERPRISE NETWORK MANAGEMENT
by Frankvijay J.
Abstract: Software Effort Estimation (SEE) is one of the vital role in enterprise managment because it helps to predict amount of effort provided to particular process. This created SEE process used to minimize the incomplete data involvements, uncertainty and other mis-behaviors effectively. The SEE process consumes project plans, pricing information, investment details, budget and iteration plan as input and the SEE produces the exact effort for the particular enterprise details. During the process, the SEE may require large amount of data, which increases the efficiency of the effort estimation system. So, in this paper introduces the enterprise data analytics process by using the size and judgmental software effort estimation process. This method analyzes the effort in terms of using experts opinions, use case, functional points, and software size unit information. In addition to this, the method evaluates the neuro fuzzy cognitive connection based functional points are used to estimates the effort with effective manner. This method examines the connectivity between one requirement to another requirements and it constructs the relationship graph that eliminates the incomplete requirements and details successfully. The connectivity based functional point analyze process reduces the time for examining the software effort. Then the performance of the system is calculated with the support of experimental results such as MRE and VAF.
Keywords: Software Effort Estimation; size and judgmental software effort estimation process; enterprise in software; neuro fuzzy cognitive connection based functional points; MMRE and VAF.
CAMELS MODEL ANALYSIS FOR DISTRICT CENTRAL CO-OPERATIVE BANKING ENTERPRISES IN ANDRA PRADESH
by SATHYA V., Oliver Bright A.
Abstract: CAMELS is a perceived worldwide rating framework to evaluate the relative money related quality of banking enterprises and to propose essential procedures to enhance shortcomings of banking enterprises. In Andhra Pradesh before detachment of Telangana State, there were 22 DCCBs (District Co-operative banking enterprises) in Andhra Pradesh State Cooperative Bank. For breaking down similar execution of the DCCBs in Andhra Pradesh, CAMELS Model has been utilized for the (CAGR compound yearly development rate) of 12 years (2002-2003 to 2013-2014) and from that point, thorough rank test and factual measures have been utilized. CAMELS remain for Capital Adequacy, Asset Quality, Management Efficiency, Earnings Capacity, Liquidity, and Sensitivity. CAMELS' proportions have the imperative imperativeness to feature the sound money related position and additionally the wellbeing of the DCCBs of the co-agent DCCB through smaller scale investigation of an asset report and pay explanation things.
Keywords: CAMELS; Andra Pradesh; Cooperative bank; Micro Analysis.
Study and prioritizing factors of Productivity of the Employees of Steel Manufacturing Industry, Kanjikode by extended ACHIEVE Model
by Vinu V G., Oliver Bright A.
Abstract: Employee productivity is a key factor for the success of manufacturing companies. Employees are an asset that cannot be imitated by other resources, and unfortunately, they are also the hardest to control. Performance improvement initiatives with a wide range of approaches are used in an attempt to improve employee productivity. Incentives or organizational climate improvement are some examples of such programs. However, most of these studies take only one or two factor into consideration, which may not provide a comprehensive solution to the productivity problem they face in many cases. An extended ACHIEVE model by the name MACHIEVE model has been proposed to overcome this, with additional factor M - Material. Analysis of the components of labor productivity based on this new MACHIEVE model has been performed among employees in the Steel manufacturing Industry in Kanjikode. This is a Structural Equation Modelling analysis in which the sample consisting of 420 working personnel in a different workgroup in Steel manufacturing Industry in Kanjikode were selected from 1280 employees through stratified random sampling. The survey tool included labor productivity questionnaire of MACHIEVE model. The data were analyzed by AMOS-23 software and the mean scores for MACHIEVE model variables are calculated. The results indicated that the eight factors of MACHIEVE model have an impact on increasing employee productivity. The analysis also suggested that the two factors C-Clarity and H-Help had the greatest impact on labor productivity in the viewpoint of the staff.
Keywords: ACHIEVE; MACHIEVE; Productivity; Employees; Steel Manufacturing.
Special Issue on: Cloud Computing in Enterprise Network Management
An Attempt to Enhance the Time of Reply for Web Service Composition with QoS
by Karthikeyan Sivasamy, Meenakshi Devi P
Abstract: The web services are the commonly prevailing service clusters of the service oriented framework (SOA) and service related assessments. The disputes are related to the quality of service (QoS) for choosing web services freely and creating a collection of web services for carrying out trades. The ultimate aim is to choose web services based on the non functional features and quality of service (QoS) ranks. The aim is to consider that these web services holds identical features for every processes along which they hold varying non functional features and quality of service (QoS) metrics. In order to choose a web service for every process a social aspect web (SAW) scheme is employed which does not comprehensively make use of all sorts of web services. It employs the requirements of the user for ranking web service set of the applications and finally provides SAW schemes over a set of web service applicants. The mechanism helps in selecting the web services in terms of quality of services (QoS) scores and user needs. The choice of web services over varied web services based on scheme can be utilized for aggregation and organizing web services resulting in optimized time of reply to the web service actions.
Keywords: QoS; SAW; Ranks; Web Services and Non – Functional Features.
Attempting to Design Differed Service Broker Forwarding Strategy for Data Centres in Cloud Environment
by S. Prabu, S. Karthik
Abstract: The cloud computing is based on broadcasted computing resources for controlling diverse services like a server, storage and applications. The applications and models are offered in terms of pay per usage using the data centre to the users. The data centres are positioned globally and moreover, these data centres could be overloaded with the escalated number of client applications that are being serviced at the identical time and position which corrupts the comprehensive quality of service of the relayed services. Diverse user applications might need diverse customization and demands calibrating the performance of the user applications at differed resources are quite intricate. The service supplier is incapable of performing choices for the suitable set of resources. The design of differed service broker forwarding strategies is based on heuristics intended to accomplish minimal reply time based on the transmission medium, bandwidth, latencies and task size. The designed service broker strategy attempts in minimizing the overloads of the data centres by conveying the user demand to the subsequent data centres that acquire improved reply and operational time. The analysis reveals potential outcomes in terms of reply and operational time as estimated to the other exiting broker strategies.
Keywords: Service Broker; Cloud Environment; Quality of Service; Data Centres and latency.