bluuebunny/crossref_metadata_2025 huggingface dataset:
ISSURES OF TEXTILE EXPORTERS IN THE CONTEXT OF PAK-INDIA TRADE
Authors: Muhammad Shaikh Faiz , Ali Shah G.Syed Dr.Anwar , Hussain kazi Zahid
Published: February 2019

This research investigates the issues of Textile exporters in the context of PAK-India trade relation. Data were collected from 100 exporters by using simple random technique. Data were analyzed by using SPSS-20 version, A structural questionnaire was developed for the reliability and validity of the data. It was revealed that respondents regard governmental regulations, customs procedure and licensing, technical standards and health regulations, sanitary and phytosanitary measures and certification as the major barriers to export. The anti-dumping and tariff barrier are not the major barriers but tends to be the major ones. The tariff barrier may be low due to several rounds of GATT and WTo. It was further revealed that the respondents regard the market access problems and labeling and packaging as the major barriers to export. Although not the major barriers but cultural one, the currency exchange rate and informational barrier tend to be the major barriers to export. The Legal and Political barriers, Languages and Customs, demand of the product, working structure / schedule of the targeting country, business environment are not regarded as barriers to export.
Packaging -An Innovative source of Impulsive and Abrupt Buying Action
Authors: Nayyar Er.Varun
Published: February 2019

Good packaging and eminence product that matches the price over and over again calls for recurring patronage from consumers which allow the firm to hang about in business. Attractive packaging of products creates voluntarily available market for the firm and may reduce on advertising cost. This study examines the result of good packaging of products on consumers buying alternative as well as on impulse buying. Data were obtained from the supervision of 100 copies of a structured questionnaire to consumers who come for shopping at market places, supermarkets and high traffic points across the Punjab using deliberate sampling technique. The test results revealed that 79 and 81% of consumers decision to purchase a particular product as well as impulse buying was accounted for by the packaging approach of the product, while the chi-square results indicated that attractive packaging inclined consumers buying choice and impulse buying (p>0.05).
Stock Market Integration in South Asia
Authors: Kharka Damber S , Turan M.S , Kaushik K.P
Published: February 2019

While the topic of stock market integration has been one of the highly researched area in the literature but focus had mostly been on the stock markets of developed economies.  Few have focused on analyzing market integration in South Asian region and no inclusion of Bhutanese stock has been found in the literature in any of the earlier studies. The objective of this paper is to analyze market integration between Bhutanese, Indian and other indices in the region. We also analyzed whether other indices in the region are co-integrated with Indian stock market, as Indian market is more proficient in the region and can be believed to have influences on others. We analyzed all indices in the region on one to one basis (using pairwise co-integration test). We used weekly data from January 2006 to December 2011 period from the stock exchanges of (Bhutan, India, Nepal, Bangladesh, and Pakistan). Applying, Dickey-Fuller method, we tested unit root for each stock indices and used Johansen co-integration approach pairwise to test the long-term relationship between stock indices and multivariate approach to test market integration as a whole. We found that all indices are stationary at I(1) and confirmed no long-term relationship between Bhutanese stock with Indian and other regional stock markets. In fact we find no market integration either on one to one basis or for the south Asian market as a whole. Information on market integration should help market players in managing their investments in capital markets in a sustainable manner.
360 Degree Feedback Appraisals- An Innovative Approach of Performance Management System
Authors: Kandpal Jyoti , Baroda Dr. Satyawan , Sharma Chhavi
Published: February 2019

360-degree feedback systems are typically introduced as part of individual or organisational development activities. However, 360-degree feedback is increasingly used as an integral part of performance appraisal, relating to administrative decisions such as promotions, terminations and pay (Fletcher & Baldry, 1999; Fletcher, 2001). There has been vigorous debate among practitioners and academics concerning the role of 360-degree feedback in the HR function (Bracken et al., 1997; Garavan et al., 1997; Handley, 2001). The use of such systems for developmental purposes only is based on the argument that their application for other uses (e.g. linking them to pay or performance appraisal) lessens the impact and outcome from the process (Alimo-Metcalfe, 1998). The concept of 360 degree feedback makes a lot of sense and, if used well, should have a great deal to offer.  It seems to suit the move towards the less hierarchical, more flexibly-structured and knowledge based organisations of the future Professor Clive Fletcher Goldsmiths College, University of London, in today changing and volatile world organisations are continually looking for ways to improve performance, and satisfy the demands of all stakeholders. Achieving this almost inevitably involves change, which then becomes the pivotal dynamic for success.
Internet Banking Need of Current Scenario
Authors: Singh Jaspreet , Brar Neena
Published: February 2019

Banking in India originated in the last decades of the 18th century. The IT revolution influenced the Indian banking system a lot. The use of computers had led to existence of online banking in India. The use of modern innovation and computerisation of the banking sector of India has increased many folds after the economic liberalisation of 1991 as the country's banking sector has been exposed to the world's market. The Indian banks were finding it hard to compete with the international banks in terms of the customer service without the use of the information technology and computers. Internet banking as a medium of delivery of banking services and as a strategic tool for business development, has gained wide acceptance internationally and is fast catching up in India with more and more banks entering the fray. In the light of this background, the objective of this paper is to study the perceived usefulness of Internet Banking. This paper tries to know the level of awareness among customers. This paper also tries to check the perception of risks closely connected with Internet Banking and study the scope of Internet Banking, so that companies can fulfill their duty in an appropriate and suitable manner.
Analysis of Nifty Movement on Share Prices of Selected Construction Companies
Authors: Gomathi M. , Nirmala Dr.S.
Published: February 2019

This study aims at analyzing and predicting the price movements of construction companies stocks contributing to the NIFTY50 Index. To analyze the volatility of telecom stock and understand the behavior of stock prices in construction sector stocks i.e. (JP ASSOCIATES LIMITED, DLF LIMITED, GAMMON INDIA LIMITED, PUNJ LLOYD LIMITED, HCC LIMITED). The data for these stocks are collected from magazines, newspaper and websites. The stocks are analyzed by monitoring their respective price movements using technical tools. The technical tools used in this study are Exponential moving average, Relative strength index, Rate of change, MACD. Using these tools the trend over the recent past was deciphered. The expected trend in the immediate future was also predicted. Technical Analysis studies the price and volume movement in the market and predicts the future. It helps in identifying that the best time to buy and sell equity. Technical Analysis is a method of evaluating equities by analyzing the statistics generated by market activity, such as past prices and volume.
Impact of the Customer Relationship Management on the Performance of the Institutions of Microfinance in Cameroon: The Case of the CAMCCUL Network
Authors: Marie Antoinette Simonet , David Kamdem , Christian Nguefack
Published: February 2019

The objective of this contribution is to work out the customer relationship management and the commercial performance of the institutions of microfinance (IMF) in Cameroon in order to show its impacts on the performance indicators of the latter. To achieve this goal, we have simultaneously applied the nonparametric method of the Data Envelopment Analysis (DEA) and the censored Tobit model on a sample of 60 IMF belonging to the Cameroon Cooperative Credit Union League (CAMCCUL) network. The different statistical tests carried out have first of all permitted us to estimate the IMF performance levels and then to assess the different factors which influence the commercial performance of the IMF, taking into account the indicators obtained from the literature review. As a general rule, we have realized from our results that the IMF of the CAMCCUL network are globally inefficient as regards the commercial performance, the women influence on the scores of performance being very significant, insofar as the IMF which are in majority made up of women have relatively been more impressive compared to those which are in majority made up of men. Among the factors influencing the performance, we have noted that the computerized management of the customer relationship and the proximity (closeness) of the social contacts exert a positive influence on the performance, while the satisfaction towards the past experiences with the IMF exerts a negative and very significant influence on this one.
Microarray Gene Expression Data Clustering Using Red Black Tree Based K-Means Algorithm
Authors: Jasila E K , Nazeer K A Abdul
Published: February 2019

The need of high quality clustering is very important in the modern era of information processing. Clustering is one of the most important data analysis methods and the k-means clustering is commonly used for diverse applications. Despite its simplicity and ease of implementation, the k-means algorithm is computationally expensive and the quality of clusters is determined by the random choice of initial centroids. Different methods were proposed for improving the accuracy and efficiency of the k-means algorithm. In this paper, we propose a new approach that improves the accuracy of clustering microarray based gene expression data sets. In the proposed method, the initial centroids are determined by using the Red Black Tree and an improved heuristic approach is used to assign the data items to the nearest centroids. Experimental results show that the proposed algorithm performs better than other existing algorithms.
Transforming ABC Co- Through Lean Management & Agile Manufacturing
Authors: Singh Hari
Published: February 2019

ABC co. was established in Delhi in 1980, which produced electrical switchgears & appliances. The company had manual operations initially; quality was not a thrust area having about 16% process rejections. The demand for electrical appliances/switchgears was rising with increase in urbanization/ construction activities. The warranty return was as high as 6% and more competitors entered in the market making it difficult to improve sales. After brainstorming session, management implemented various techniques of TQM tools (5S, SQC, TPM, etc.). Investment in new technology including installation of few new machines and few low cost automation of equipment was made.ABC co. expected the payback period of three years for the new installed capacity. The internal rejections came down and as also cost and thereby market demand rose significantly. The major contribution was: a) Improving quality, b) Inventory reductions, c) BOM cost reduction, d) reduced order to supply time.
Data Ownership: Who Owns 'My Data'?
Authors: Al-Khouri Ali M.
Published: February 2019

The amount of data in our world today is substantially mammoth. Many of the personal and non-personal aspects of our day to day activities are aggregated and stored as data by both businesses and governments. The increasing data captured through multimedia, social media, and the Internet of Things is a phenomenon that needs to be properly examined. In this article, we explore this topic, and analyse the term data ownership. We aim to raise awareness and trigger debate for policy makers around data ownership and the need to improve existing data protection and privacy laws and legislation at both national and international levels.
Efficient Montgomery Modular Multiplication by using Residue Number System
Authors: Khani Elham
Published: February 2019

Residue number system is a carry free system that performs arithmetic operation on residues instead of the weighted binary number. By applying Residue Number System (RNS) to Montgomery modular multiplication the delay of modular multiplication will be decreased. Modular multiplication over large number is frequently used in some application such as Elliptic Curve Cryptography, digital signal processing, and etc.By choosing appropriate RNS moduli sets the time consuming operation of multiplication can be replaced by smaller operations.  In addition because of the property of RNS, arithmetic operations are done over smaller numbers called residues. In this paper by choosing appropriate moduli sets the efficiency of conversion from RNS to RNS that is the most time consuming part of the Montgomery modular multiplication will be increased.
A Quality Outcome Assessment of Learning Discrete Mathematics Course The Case of University Students
Authors: Shing Marn-Ling , Shing Chen-Chi , Shing Lee-Pin , Shing Lee-Hur
Published: February 2019

Teaching a mathematics foundation course such as Discrete Mathematics for an information technology curriculum is always a challenge. The challenge may be identifying students  mathematical backgrounds early and then using different teaching techniques in the classroom. An even bigger challenge is that many topics have to be covered effectively in a short semester course. This paper provides a standard quantitative methodology for conducting an outcome assessment using Discrete Mathematics as a case study. It starts with creating an ABET accredited course outcome based on different learning levels. And then it shows how to design assessment instruments, how to determine the sample size, how to collect data and how to analyze and validate the data.
Nurses in Australian acute care settings: experiences with and outcomes of e-health. An integrative review.
Authors: Mills Jane , Chamberlain-Salaun Jennifer , Henry Renee , Sando Jenny , Summers Glynda
Published: February 2019

The World Health Organization (WHO) defines e-health as the use of information and communication technology for health [1]. The use of e-health, including electronic medical records (EMR), is a growing trend. This integrative review of the literature examines nurses experiences of e-health in Australian acute care settings. A search of the literature identified 21 papers for inclusion in this review. Two discernable themes in the literature are apparent. Research to date largely focuses on nurses experiences of e-health, including its usefulness in their work. Findings indicate that nurses attitudes to e-health and computer usage are positive, however there are indications that nurses currently using e-health in practice are often dissatisfied with the implementation of new e-health systems in their workplace and that there are a number of barriers to its successful implementation. Secondly, a discernable gap in the literature regarding the impact of e-health, and in particular EMRs, on nursing outcomes is identified with research to date limited to findings related to nursing documentation and multi-disciplinary discharge planning. Future research that considers nurse experiences in implementing e-health and applies focused strategies across a range of health settings, both in Australia and around the world, can influence successful adoption and implementation of e-health.
Performance Evaluation of Pattern Storage Network of Associative memory with Sub-optimal GA for Hand written Hindi SWARS
Authors: Lavania Rajesh , Singh Manu Pratap
Published: February 2019

In this paper we are performing the evaluation of Hopfield neural network as Associative memory for recalling of memorized patterns from the Sub-optimal genetic algorithm for Handwritten of Hindi language. In this process the genetic algorithm is employed from sub-optimal form for recalling of memorized patterns corresponding to the presented noisy prototype input patterns. The sub-optimal form of GA is considered as the non-random initial population or solution. So, rather than random start, the GA explores from the sum of correlated weight matrices for the input patterns of training set. The objective of this study is to determine the optimal weight matrix for correct recalling corresponds to approximate prototype input pattern of Hindi â€˜SW. In this study the performance of neural network is evaluated in terms of the rate of success for recalling of memorized Hindi  for presented approximate prototype input pattern with GA in two aspects. The first aspect reflects the random nature of the GA and the second one exhibit the suboptimal nature of the GA for its exploration.The simulated results demonstrate the better performance of network for recalling of the memorized Hindi SWARS using genetic algorithm to evolve the population of weights from sub-optimal weight matrix.
Determinants of technical efficiency in the Zimbabwean manufacturing industries
Authors: Munongo Simon , Chitungo Shallone. K
Published: February 2019

This study investigates the determinants efficiency of manufacturing subsectors in the Zimbabwean economy. The study applied the panel data econometrics approach in the leading manufacturing subsectors from 1980-2005. The technical efficiency estimates using SFA shows that there are varying efficiencies across sub-sectors and through time. The log-likelihood test shows that there existed technical inefficiency in the production processes in the manufacturing sector. This shows that the industries could improve their productive capacities with the same amount of inputs. The study shows that in the Zimbabwean manufacturing industries between 1980 and 2005 industries with strong the human capital development and foreign direct investment flowsÂ  had higher efficiency. The concentration of foreign owned firms in an industry and capital intensity had no effect on the efficiency of an industry.
Benchmarking Innovation: Comparison of Industrial SMEs in Argentine and France
Authors: Rey J RodrÃ­guez , D Galvez , L Morel , M Camargo , V Boly , R Forradellas
Published: February 2019

Benchmarking has become a useful tool for companies for decision-making and improvement of internal practices. Nevertheless, in innovation capabilities, benchmarking applications have been scarce. This study'smain objective was to perform a comparative analysis of the innovation potential of two groups of companies belonging to Argentine and France. Besides the potential for innovation, components of this potential were compared finding strengths and weaknesses of both groups. To do that, the methodology of Innovation Potential Index (IPI) has been used. Through a survey based on acceptance grids, collection of the particularities of both groups has been made. By means of statistical analysis the main differences and similarities have been clarified. Among the most important findings are the similarities between the groups in the classification: in both samples, 60% of cases had a low potential for innovation (passive and reactive categories). Significant differences were found in terms of innovation strategy where French companies performed better than the argentine ones. About innovation project management, Argentinian firms perform better. Human resource results barely developed in the entire sample. The similarities, due to the fact of belong to SME category, results clearly evident. Also differences in some characteristics closely related to markedly different macroeconomic environment have emerged.
Factors influencing implementation of Quality Management Systems in meat processing industry in Albania using Ordinal Logistic Regression
Authors: Kapaj Ana , Kapaj Ilir , Deci Eda , Totojani Orkida
Published: February 2019

Objective of this research is to investigate how two attitudes of meat processing enterprises in Albania; ˜Willingness to invest on ISO and ˜Perception about competition level are affected by different factors belonging to internal and external environment of the organization. Stratified random sampling was used for selecting the sample of 45 meat processing enterprises out of 54 officially registered. Face to face interview survey method was conducted. The respondents were mainly managers, owners or high level personnel of the selected meat enterprises. The model of ordinal logistic regression was used to quantify the effects of different management factors on Willingness to invest on ISO and ˜Perception about competition. As result we conclude that the more information and knowledge enterprises have about ISO standards, the more they will have the willingness to invest on these standards. The next finding is that, if companies want to operate in national markets (high competition level) it is a good choice to do a benchmark analysis, also if enterprises in meat industry want to operate in high competitive markets the have to focus on after sales services and on product delivery.
A Comprehensive Study of Online Internet Buyers Trust, Trustworthiness and Purchasing behavior in Indian Perspective
Authors: Reddy M.Sreedhar , Dr.G.V.Chalam Prof.
Published: February 2019

Electronic commerce does not only give the consumer a broader selection of business and items but it also gives information concerned companies, various products and also competitors. These consumers can then compare these to each other and find the best deals. Good quality web sites also offer useful information to the consumer. A salesperson in a store would not necessarily have access to these kinds of lists so the information he would give would only be facts about different products instead of real customers reviews. Consumers often can interact with the merchants site to create exactly .The web really enables the whole business process to be much more efficient and the consumers will get exactly what they want. This study aims to fill this void by exploring the attributes of trust, trustworthiness and purchasing behavior can be developed in online transaction. The anticipated research results thus seize the probable to make a significant role to the internet based marketing and customer overall satisfaction.
Implications of Communication in Company Management Thematic Analysis Based on Interview
Authors: Nechita Daniela , Virlanuta Florina Oana , Oprit-Maftei Carmen
Published: February 2019

Communication is of the utmost importance in management, since understanding employees issues, social relationship sustainability, managers capacity of motivating and leading subordinates and the relationships with the external environment in which the company operates, rely heavily on the quality of communication. Basically the communication issue is in management the issue of circulating ideas and solutions oriented towards achieving the companys objectives through open channels of communication both inside and outside the company. The paper shows that the managers contribution goes beyond the economic side, equally important being the social efficiency revealed by aspects that cannot be quantified directly but with multiple consequences upon all factors involved in a companys activities and especially upon the human factor.
Business Intelligence and its role to enhance Corporate Performance Management
Authors: Nazier Mostafa Medhat , Khedr Dr. Ayman , Haggag Assoc. Prof. Mohamed
Published: February 2019

As every small or large organization requires information to promote their business by forecasting the future trends, information is now the primary tool to understand the market trends and understand their own position in the market comparison to its competitors. Business intelligence is the use of an organizations disparate data to provide meaningful information and analyses to employees, customers, suppliers, and partners for more efficient and effective decision-making. BI applications include the activities of decision support systems, query and reporting, online analytical processing (OLAP), data warehouse (DW), statistical analysis, forecasting, and data mining.
Transient Solution of an Batch arrival Queue with Two Types of Service, Multiple Vacation, Random breakdown and Restricted Admissibility
Authors: Sathiya K. , Ayyappan G.
Published: February 2019

In this paper we analyse a batch arrival queue with two types of service subject to random breakdowns having multiple server vacation. We assume that the server provides two types of service, type 1 with probability and type 2 with probability with the service times following general distribution and each arriving customer may choose either type of service. The server takes vacation each time the system becomes empty and the vacation period is assumed to be general. On returning from vacation if the server finds no customer waiting in the system, then the server again goes for vacation until he finds at least one customer in the system. The system may breakdown at random and repair time follows exponential distribution. In addition we assume restricted admissibility of arriving batches in which not all batches are allowed to join the system at all times. The time dependent probability generating functions have been obtained in terms of their Laplace transforms and the corresponding steady state results have been obtained explicitly. Average queue lenth and average system size are also computed.
Green Recruiting
Authors: Gupta Gitika , Gupta Ashutosh
Published: February 2019

Recruiting, the most important function of HR is changing its colour. Environmental sustainability & social responsibility has undoubtedly risen to the forefront of discussion. An emerging trend in recruitment is that organizations are looking for candidates with the environment-friendly bent of mind. Also, the younger generation is becoming more and more concerned about the environment and its protection. Young job seekers are savvy, smart, energy driven and wear social & environmental issues up their sleeves. The concept is not very popular; it is slowly catching up with organizations i.e. Green Recruiting. It is an innovative idea through which companies emphasize environmental protection and concern as an important strategy for recruitment. Green Recruitment means a paper-free recruitment process with a minimal environmental impact. It is sharing of the companys unswerving commitment towards the cause of environment with the candidates whom they are trying to hire. In this paper concept, importance, steps, and other areas related to green recruiting have been discussed
BST Algorithm for Duplicate Elimination in Data Warehouse
Authors: Pahwa Payal , Chhabra Rashmi
Published: February 2019

Data warehousing is an emerging technology and has proved to be very important for an organization. Today every  business organization needs accurate and large amount of information to make proper decisions. For taking the business  decisions the data should be of good quality. To improve the data quality data cleansing is needed. Data cleansing is fundamental to warehouse data reliability, and to data warehousing success. There are various methods for datacleansing. This paper addresses issues related data cleaning. We focus on the detection of duplicate records. Also anefficient algorithm for data cleaning is proposed. A review of data cleansing methods and comparison between them is presented.
Age Estimation and Gender Classification based on Face detection and feature extraction
Authors: Gurumurthy Sasikumar
Published: February 2019

Nowadays the computer systems created a various types of automated applications in personal identification like biometrics, face recognition techniques. Face verification has turn into an area of dynamic research and the applications are important in law enforcement because it can be done without involving the subject. Still, the influence of age estimation on face verification become a challenge to decide the similarity of pair images from individual faces considering very limited of data base availability. We focus on the development of image processing and face detection on face verification system by improving the quality of image quality. The main objective of the system is to compare the image with the reference images stored as templates in the database and to determine the age and gender.
Undergraduate Students Readiness in e-Learning : A Study at the Business School in a Malaysian Private University
Authors: Tang Siew Fun , Lim Chee Leong
Published: February 2019

This study investigated the factor structure of readiness constructs as expressed by undergraduate students and examined how these constructs correlated with some selected socio-demographic characteristics at the Business School of a Malaysian private university. Results were based on responses from 172 undergraduate students who were exposed to some kind of e-learning activities. The 13-item questionnaire used was adapted from The Readiness for Online Learning Survey by McVay (2001). Exploratory Factor Analysis yielded four aspects of motivation that described themes of self-study management, reflective thinking, interaction support and learning setting. The similarities and differences between this study and past researches were discussed.
An experience of integration of service repositories
Authors: Batini Carlo , Castelli Marco , Viscusi Gianluigi
Published: February 2019

In the service development life cycle it is worthwhile to distinguish between a conceptual phase, that leads to model abstract services, and a production phase that produces concrete services. Both abstract and concrete services produced by a provider organization can be organized, for reuse purposes, in structured repositories of services. As occurs in database design for conceptual schemas, in a single provider organization several repositories of services may coexist, potentially characterized by heterogeneities and conflicting representations. In this paper we present an experience of integration of repositories of abstract services, based on a methodology currently under development.
The Performance of AODV Routing Protocol Based On Dropped Packets and Throughput Metrics: A Simulation and Comparative Study for VANET
Authors: Osman Mazlan
Published: February 2019

Vehicular Ad hoc Network (VANET) is a challenging network environment in which communication between vehicles in highly fading environments, like an urban scenario, is unpredictable and difficult. In order to analyze the performance of routing protocols and applications, a few of network simulators could be applied such as GlomoSim, NS -2, OPNET, QualNet and NCTUns. In this dissertation, we study either hindering object and signal strength in VANET could affected the performance of AODV routing protocol or not and what are the other factors affect AODV performance. The performance analysis of AODV routing protocols under hindering object and signal attenuator is presented via simulation using NCTUns network simulator based on dropped packet and throughput metrics. Beside simulation, this paper also presented comparative analysis for AODV measured by throughput and end-to-end delay. Based on simulation process and comparative analysis, it is observed that the performance of AODV is affected by physical hindering objects and signal strength. It is also observed that the performance of AODV is independent from the types of network simulator used in simulation process.
P-Path Minimum Distance Connectivity from Head Quarter to the Cities
Authors: P Revathi , Babu C Suresh , S Purusotham , Murthy M Sundara
Published: February 2019

Many Combinatorial programming problems are NP-hard (Non Linear Polynomial), and we consider one of them called P path minimum distance connectivity from head quarter to the cities. Let there be n cities and the distance matrix D(i, j, k) is given from ithcity to jthcity using kthfacility. There can be an individual factor which influences the distances/cost and that factor is represented as a facility k. We consider m<n cities are in cluster and to connect all the cities in subgroup (cluster) from others by using same facility k. The problem is to find minimum distance to connect all the cities from head quarter (say 1) threw p-paths subject to the above considerations. For this problem we developed a Pattern Recognition Technique based Lexi Search Algorithm, we programmed the proposed algorithm using C. we compared with the existed models and conclude that it suggested for solving the higher dimensional problems.
Does Financing Diversification Matter? An Evaluation of the Performance of Savings and Credit Cooperative Societies; a case of Kakamega County, Kenya
Authors: Mulwa Jonathan Mwau
Published: February 2019

Financial sector liberalization in Kenya and the far world has created an enormous spectrum from which Savings and Credit Cooperative Societies (Saccos) can raise finances from. This has coincided with a period of good performances for a number of Saccos. However, there is no certain indication of a link between the good performance and the financing diversification; it is not clear whether those Saccos who have diverse financing sources perform any better than those who rely on their members savings. This paper therefore sought to establish the effect of financing diversification on the performance of Saccos by answering the question; does financing diversification affect the performance of a Sacco? The study used a descriptive correlational design with the study population being all Kenya Union of Savings and Credit Cooperatives (KUSCCO) member Saccos registered in Kakamega County. Data was collected from a key informant in every Sacco using a questionnaire and analysed using both descriptive and inferential statistics. Descriptive analysis was done to identify any trends and dispersions in the data while Karl Pearsons zero order coefficient of correlation was used to determine the nature of relationship between financing diversification and Sacco performance. Regression analysis was done to model the relationship between financing diversification and Sacco performance.Â  The study found out that financing diversification had a significant positive effect on Sacco performance. The study has, however, recommended further researches to establish the risk implications of financing diversification on Saccos.
Training Algorithms for Supervised Machine Learning: Comparative Study
Authors: Khan Dr. Rafiqul Zaman , Allamy Haider
Published: February 2019

Supervised machine learning is an important task for learning artificial neural networks; therefore a demand for selected supervised learning algorithms such as back propagation algorithm, decision tree learning algorithm and perceptron algorithm has been arise in order to perform the learning stage of the artificial neural networks. In this paper; a comparative study has been presented for the aforementioned algorithms to evaluate their performance within a range of specific parameters such as speed of learning, overfitting avoidance, and their accuracy. Besides these parameters we have included their benefits and limitations to unveil their hidden features and provide more details regarding their performance. We have found the decision tree algorithm is the best as compared with other algorithms that can solve the complex problems with a remarkable speed.
Aligning post-merger information systems with corporate strategies. Empirical evidence in a bank merger
Authors: Paola Dameri Renata
Published: February 2019

Information System integration is one of the most important challenges in post merger activities. The role of Information System in supporting business processes, products, customer relationships and the daily work of employees in the target company is central. For this reason, the IS rdesign in post-merger activities is both a threat and an opportunity: a threat, because to fail the IS integration could mean the failure of the merger; an opportunity, because to redesign the IS could help to better align it with the new strategic goals of the post-merger company and to gain better performance. However, merged companies generally aims especially at operational goals regarding IS integration, such as cost savings and risk reduction. They overlook the opportunity to align the target IS with M&A strategic aims. In this paper, the author studies the opportunity deriving from a M&A operation, to align IS with corporate strategies; theoretical considerations are supported by empirical evidence in a business case, regarding the most important Italian M&A in the banking sector. The paper suggests a set of business practices and assessment instruments to support management choices in post -merger IS integration and alignment.
A Survey on various image processing techinques for glaucoma diagnosis
Authors: Chauhan Mrs. Kinjan , Gulati Dr. Ravi
Published: February 2019

Glaucoma is considered to be the leading cause for blindness in patients. Intra-Ocular Pressure(IOP) is one of theprimary factors which plays an important role in the development of Glaucoma. There is a need for checking progression of Glaucoma in patients at early stage so thats progression can be controlled and/or necessary action can be taken. In this paper, we have surveyed various image processing techniques used for detection of Glaucoma in patients using various opthalmic tests.
Potentiality of the community Willingness for using desalination plants for the groundwater wells in Jericho Area Palestine
Authors: Ghanem Marwan , LÃ¼bbecke Sven , Schweder Christine
Published: February 2019

Water shortage is one of the main issues in Jericho area in Palestine, hampering further development of agriculture. A higher amount of water suitable for irrigation would render a significant growth of the agricultural market and the associated branches possible and thus be of great economical advantage. Not only is the current water shortage problematic for farmers, but it is to be expected that it will increase in near future. More water is needed, but less is available due to less rainfall. Still, additional brackish water would be available, but its usage would endanger soil quality in the long run. Desalination is a possible solution. The study presented in this contribution is consists therefore of a field survey of 25 questionnaires was carried out for the analyses for the community acceptance towards using desalination units for saline and brackish water for agricultural irrigation. The average cost of one cubic meter of the desalinized water that is accepted by the participants of the survey for agricultural use is 0.25 Euro, which is equal or less than the current pumping costs for non-desalinated water. The majority of surveyed well owners estimate that their crop productivity will be increased by 40 to 60 percent after using the units. This will increase also the annual water consumption to its one third to one half more than its usual water consumption rate (700 1200 cubic meter for each dunum per year, 1 dunum = 1000 m2). Variability in crop sorts will be added in addition to raw and cooked grown vegetables as well as of grown Palm trees. A majority of the farmers (95%) thinks that the long-term use of saline water will destroy the fertility of the soil as well as the crop agricultural cycle in the area.
A Real-Time Optimal Route Computation for Public Transport System Using Web
Authors: Nalini K. , Suneel Sai , Sridevi S. B.
Published: February 2019

In this work describes web-map public transport enquiry system as described in this paper, gives a good example of providing bilingual information and public transport run in the form of interactive maps and texts, as well as real time derivation of optimal travelling routes for users in terms of multiple criteria, i.e., preferred mode, least changes, shortest travelling time, or lowest fare. This paper describes a research on The Flexible Bus Systems (FBS) using SMAC as a communication medium. The Flexible Bus System is a demand responsive transit (DRT) but it is more efficient and convenient in a sense that it entertains passengers demands and gives bus locations in real time. The real time synchronization of The Flexible Bus System makes it information rich and unique as compared to other DRTs. The Flexible Bus Systems is a system that can replace the Traditional Bus Systems with its flexibility and efficiency. This paper discusses the use of wireless technologies in The Flexible Bus Systems and how to make it more reliable using short range wireless technology SMAC protocol.
A Framework for Conference Management System
Authors: Gupta Bharat , Gupta OP , Sawhney B.K.
Published: February 2019

A conference management system (CMS) is becoming most powerful event manager for handling the international conferences. Several web based conference management systems have been developed in the paradigm of open source, which are used by most of the universities and colleges. All the conference management systems were built on web-servers. The organizing process consists of very time consuming and full of paper work for event handling such as Call for papers, submission of papers by authors, review process, registration process of author and general participants. So an easy to use framework of conference management system is needed to cater the need of the non technical people. The developed model is easy to handle and automates the process of the events one after the other without intervention of the editor, reviewer and author for developing ready to publish research papers for any organization.
An approach of image staganography by combine application of DNA sequence and arithmetic encoding
Authors: Chakraborty Suman , K. Bandyopadhyay Prof. Samir
Published: February 2019

In this paper an attempt has been made to hide an image with in a cover image by using DNA sequence and Arithmetic encoding.DNA sequence used to represent an image and arithmetic encoding convert this DNA sequence in decimal form within the range of 0 to 1.In this procedure encoding has been done in 2 level, 1st Secret-Image converted into decimal form and 2nd decimal form to DNA sequence. So, in this approach secret information is hidden in more depth. Increase depth provides more degree of security from external attack.
Assessment of Performance of Pharmaceutical Firms making Drugs for Specific Diseases Prevalent in India: A Data Envelopment Analysis Approach
Authors: Das Sumanta , Patel G.N
Published: February 2019

There exists a lot of diversity in Indian pharmaceutical environment in various aspects. We have applied Delphi Technique to arrive at specific prevalent diseases in India and identified 24 pharmaceutical firms making drugs for these diseases. We used data envelopment analysis (DEA) approach to find out the efficiency of firms and peers of inefficient firms. Tobit regression has been used to get the determinants of efficiency.
Financial Deepening And Economic Competitiveness In Kenya: The Strides To Being An Economic Power House
Authors: Wycliffe Muli , Jonathan Mulwa , Tabby Goko , Ruth Ngunjiri , Kitheka Samson
Published: February 2019

Economists have long held the view that financial deepening and economic development are closely intertwined. Kenyas development blue print, Vision 2030, is anchored on this belief and aims to create a vibrant, globally competitive financial sector, envisioning Kenya as a leading financial centre in Eastern and Southern Africa. Using descriptive survey design, this study investigated the state of financial deepening in Kenya and how this enhances the countrys economic competitiveness. Data was collected from a key informant in the four largest banks by asset base that have subsidiaries/branches in other East African countries using a structured questionnaire. It focused on Mobile banking, Agency banking and credit referencing as indicators of financial deepening and established that Kenya has made remarkable strides in financial deepening, which has enhanced the countrys competitiveness through wider access of financial services, reduced operation and transaction costs, product diversification, superior customer experience and reduced loan default rates.
Weather Derivatives-Are you willing to hedge the monsoon With special reference to Agriculture Sector in India
Authors: Arora Neha
Published: February 2019

With drought looming large over 14 meteorological sub-divisions, spare a thought for the planted crops that are in grave danger. For the farmers in Maharashtra, Andhra Pradesh, Karnataka and Uttrakhand this monsoon has brought everything except the much-needed moisture. "Come rainy season and nearly 59 per cent of the Indian population, the people dependent on agriculture, keep their fingers crossed. Some pray to the rain God to ensure that it does not pour so hard that their crops get destroyed. On the other hand, in some villages, the farmers tie two frogs to a pole and get them married, a superstition which is supposed to bring good rainfall, Superstitions apart, the seriousness of weather cannot be overemphasised. India, as a country, faces great variations in weather conditions due to its diverse geographical structure. While some places are hit by flood, some others by drought, rising temperatures are scaling new peaks and chilling winters are breaking old records. Such diversity in weather conditions affects the business processes of many industries directly or indirectly giving agriculture the greater break. Is weather derivates the one of the solutions to the sight for agricultural risk bearing safety? This paper aims to examine the state of risk management in agriculture of India, evaluate the effectiveness of weather derivatives as risk management tools and basic framework required to hedge them.