CA Prashant Jain

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Financial Markets & Instruments: Factoring and Forfeiting

The main problem nowadays when trading with foreign countries is to obtain payments from importers. This paper focuses on how the two major innovative tools of financing viz: Factoring and Forfeiting helps the Financing companies to offer financial support to traders in exchange for fees, and guarantees and the problems they faced. For the exporter, both of these methods maximize cash flow, reduce transaction risks, and may enhance competitiveness by offering flexible payment terms to the buyer.

Commercialization of Microfinance in India

Microfinance is gathering momentum to become a significant force in India. This paper discusses the growth, transformation and commercialization of microfinance organizations (MFO) in India. The basic argument is that most of the early microfinance in India happened through donor and philanthropic funds. These funds came into not-for-profit organizations. However as the activities scaled up, it was imperative to move to a commercial format. The aim is to examine the growth imperatives and the transformation process of Indian MFOs.

FDI in Indian Retail Sector: Good or Bad

Retailing is the interface between the producer and the individual consumer buying for personal consumption. The retail industry in India is of late often being hailed as one of the sunrise sectors in the economy. The recent clamor about opening up the retail sector to Foreign Direct Investment (FDI) becomes a very sensitive issue, with arguments to support both sides of the debate. It is widely acknowledged that FDI can have some positive results on the economy, triggering a series of reactions that in the long run can lead to greater efficiency and improvement of living standards, apart from greater integration into the global economy. By infusion of FDI in retail trade the consumer will be benefited by both price reductions and improved selection, brought about by the technology and know-how of foreign players in the market. This in turn can lead to greater output and domestic consumption. But the most important factor against FDI driven “modern retailing” is that it is labor displacing to the extent that it can only expand by destroying the traditional retail sector. This paper tries to throw light on the positive and negative effects of FDI in Indian Retail industry.

6 An Empirical Study of Non-Linear Relationship between World Oil Price & Indian Stock Exchange

The research paper aim to formulate econometric model to investigate the relationship between the world oil price changes & stock exchange returns in India in the presence of regime switching dynamic. Two regimes is the multivariate Markov Switching vector auto regression (MS-VAR) model with regime shifts in both the mean and the variance is used to extract common regime switching behaviors from the price index series it has been interpret that the stock return series evidence of relationship exists among the series. The study interacts with the oil price changes and the economic measure parameter has received considerable attention from policymakers. The estimated MS-VAR model reveal that as the oil price increase it will follow by the rises of stock price index. the MS-VAR model is a good option for estimating the Non-Linear relationship between the World Oil Price & Indian Stock Exchange.

An Enhanced Congestion Control Mechanism for Mobile Ad-Hoc Network

The very dynamic nature of mobile ad-hoc network creates great challenges for routing protocols. Transmission control protocol (TCP) provides connection oriented, reliable end to end mechanism. TCP congestion control mechanism is not directly suitable for wireless networks. Many TCP congestion control mechanisms have been presented for improvement. But these schemes are not sufficient in controlling congestion. In this paper, an improved mechanism for TCP congestion control is presented. Proposed scheme calculate sending window after each transmission, according to number of destroyed or corrupted packet. It results in less packet drop in transmission. The comparative study of Enhanced TCP (ETCP) with other TCP variants also presented with variation in speed of node, pause time and number of nodes in network. Implementation and analysis of proposed mechanism generated fewer overheads and improved reliability with small variances of throughput and delay. Implementations and Simulations were performed in QualNet 5.0 simulator.

Hold your Session: An attack on JAVA Session- ID Genration

HTTP session-id’s take an important role in almost any web Site today. This paper presents a cryptanalysis of Java Servlet 128-bit Session-id and an efficient practical prediction algorithm. Using this attack an adversary may impersonate a legitimate client. Through the analysis we also present a novel, general space-time tradeoff for secure Pseudo random number generator attacks.

Timely Computing Base Transaction in DBMS

Current database systems are very often based on large scale, unpredictable and unreliable infrastructures. On-time data management is becoming a key difficulty faced by the information infrastructure of most organizations. In fact, database applications for critical areas are increasingly giving more importance to the timely execution of transactions. Database applications with timeliness requirements have to deal with the possible occurrence of timing failures, when the operations specified in the transaction do not complete within the expected deadlines. In spite of the importance of timeliness requirements in database applications, typical commercial DBMS do not assure any temporal properties, not even the detection of the cases when the transaction takes longer than the expected/desired time. In this paper, we propose an architectural construct and programming model, which address this problem. We assume the existence of a component that is capable of executing timely functions, however asynchronous the rest of the system may be also we discusses the problem of timing failure detection in database applications and proposes a transaction programming approach to help developers in programming database applications with time constraints.

Computational Intelligence: Study of Specialized Methodologies of Soft Computing in Bioinformatics

Soft Computing, the study of specialized methodologies, has broad area in bioinformatics now a day. The study for soft computing has many standard methodologies than bioinformatics but none of them provides best method aspect. This leads to study of specialized methodologies of soft computing in bioinformatics. This paper provides a process to massively integrate the aspects and experiences in the different core subjects such as biology, medicine, computer science, engineering, chemistry, physics, and mathematics. Recently the use of soft computing tools for solving bioinformatics problems have been gaining the attention of researchers because of their ability to handle imprecision, uncertainty in large and complex search spaces.

Save-Energy VoIP over Wireless LANs

The key idea of saving energy of the wireless interface is to allow it to sleep as much as possible reducing the time spent in idle state. There is typically about one order of magnitude difference between the power consumption in the idle and sleep states. This is a difficult problem since the radio may not know when exactly it has to wake up to receive incoming packets and will lose them if it stays in the sleep state. A standardized solution to this issue is the Power Save Mode (PSM) which was introduced in the IEEE 802.11 standard for infrastructure WLANs. Emerging dual-mode phones incorporate a Wireless LAN (WLAN) interface along with the traditional cellular interface. The additional benefits of the WLAN interface are, however, likely to be outweighed by its greater rate of energy consumption. This is especially of concern when real-time applications that result in continuous traffic, are involved. WLAN radios typically conserve energy by staying in sleep mode. With real-time applications like Voice over Internet Protocol (VoIP), this can be challenging since packets delayed above a threshold are lost. Moreover, the continuous nature of traffic makes it difficult for the radio to stay in the lower power sleep mode enough to reduce energy consumption significantly. In this work, we propose the Green Call algorithm to derive sleep/ wake-up schedules for the WLAN radio to save energy during VoIP calls while ensuring that application quality is preserved within acceptable levels of users. We evaluate Green Call on commodity hardware and study its performance over diverse network paths and describe our experiences in the process. We further extensively investigate the effect of different application parameters on possible energy savings through trace-based simulations. We show that, in spite of the interactive, real-time nature of voice, energy consumption during calls can be reduced by close to 80 percent in most instances. Index Terms—Voice over IP (VoIP), wireless LANs, energy consumption, portable communication devices, Internet.

Intrusion Detection using k-mean Algorithm via Support Vector Machine

It is unrealistic to prevent security breaches completely using the existing security technologies. The intrusion detection plays an important role in network security. However, many current intrusion detection systems (IDSs) are signature-based systems. The signature based IDS also known as misuse detection looks for a specific signature to match, signaling an intrusion. Provided with the signatures or patterns, they can detect many or all known attack patterns, but they are of little use for as yet unknown attack methods. The rate of false positives is small to nil but these types of systems are poor at detecting new attacks, variations of known attacks or attacks that can be masked as normal behavior. Statistical-Based Intrusion Detection Systems (SBIDS) can alleviate many of the aforementioned pitfalls of a Signature Based IDS. Statistical-Based IDS perform better than signature based IDS for novelty detection. Novelty detection i.e. detection of new attack is very important for intrusion detection system. Researchers have evaluated various classification techniques for intrusion detection. This work evaluates support vector machine (SVM) based classifier over benchmark dataset. This dissertation explores non linear SVM both binary and multiclass over KDD 1999 dataset. The non linear SVM maps input feature to the feature space by using kernel function. In this dissertation the performance of SVM is evaluated using different kernel functions. This work also tries to find optimal kernel function using kernel width delimiter.

Writing Good Software Engineering Research Papers

Software engineering researchers solve problems of several different kinds. To do so, they produce several different kinds of results, and they should develop appropriate evidence to validate these results. They often report their research in conference papers. I analyzed the Abstracts of research papers submitted to ICSE 2002 in order to identify the types of research reported in the submitted and accepted papers, and I observed the program committee discussions about which papers to accept. This report presents the research paradigms of the papers, common concerns of the program committee, and statistics on success rates. This information should help researchers design better research projects and write papers that present their results to best advantage.

Re- Joining to Internet Analysis of User by Markov Chain Model

The need of internet is widely spread throughout the world. A large number of people are joining the user group everyday. Places where broadband facilities are not available, people are using dial-up based connectivity, especially in rural areas. This suffers from troubles of frequent non-connectivity and call-disconnectivity. A user leaves the computer terminal after multiple failure attempts of non-connectivity. Some hard-core and dedicated users of dial-up based connection re-join the attempt process after being away for time being. If re-joining has some probability then this needs to study intensively. This paper is an attempt to analyze the rejoining probability by using a Markov chain model over consumer behavior and internet traffic sharing.

Security Based Comparison of Relational and Object Oriented Distributed Database Model

In today environment Distributed database is mainly used by large organization for there striking features. When we develop a distributed database there are many features which may concern but the Security concerns is the main feature. When choosing between the object oriented Model and the relational model, many factors should be considered. The most important of these factors are single level and multilevel access controls, protection against inference, and maintenance of integrity etc. When determining which distributed database model will be more secure for a particular application, the decision should not be made purely on the basis of available security features. One should also question the efficiency of the delivery of these features. Do the features provided by the database model provide adequate security for the Intended application? Does the implementation of the security controls add an unacceptable amount of Computational overhead? In this paper, the security strengths and weaknesses of both database models and the Special problems found in the distributed environment are discussed.

Knowledge from the Web, Using Web Usage Mining

Web usage mining differs from collaborative filtering in the fact that we are not interested in explicitly discovering user profiles but rather usage profiles. When preprocessing a log file we do not concentrate on efficient identification of unique users but rather try to identify separate user sessions. Web usage mining is used to try to extract knowledge from the raw data available on the Web by organizing web pages in well defined structures or by looking into patterns of activities of Web users. Web usage mining can be used to support dynamic structural changes of a Web site in order to suit the active user to extract the knowledge from the web.

Knowledge from the Web, Using Web Usage Mining

Web usage mining differs from collaborative filtering in the fact that we are not interested in explicitly discovering user profiles but rather usage profiles. When preprocessing a log file we do not concentrate on efficient identification of unique users but rather try to identify separate user sessions. Web usage mining is used to try to extract knowledge from the raw data available on the Web by organizing web pages in well defined structures or by looking into patterns of activities of Web users. Web usage mining can be used to support dynamic structural changes of a Web site in order to suit the active user to extract the knowledge from the web.

E-Business Practices of Leading Company (Nestle)

Nestlé is a 135 years old, Switzerland-based company ranked as the world’s largest food producer. In some 70 countries around the globe, 230,000 people and just under 500 factories strive to bring 8,000 products to the world’s table. Some Important products of Nestle are Nescafe instant coffee, of course, but also Perrier bottled water, breakfast cereals including Cheerios, Kit Kat bars, Stouffer’s prepared meals, Buitoni pasta and Maggi cooking sauces. From his office at the company’s headquarters in Vevey, on the shores of Lake Geneva, Nestlé’s senior vice president of group information systems and logistics, Jean Claude Dispaux, occupies a place at the cutting edge of global business. It’s a place shaped by the combination of Nestlé’s worldwide scope and CEO Peter Brabeck-Letmathe’s commitment to an "e-revolution" to boost revenues and slash $3 billion from the cost base. Dispaux’s role calls for a firm, hands-on approach, experiencing for him how NestlŽ’s far-flung operations can play their part in consolidating and standardizing the food giant’s business processes to reach Brabeck-Letmathe’s goal. In recent years Nestlé India has focused steadily on improving operational efficiencies, gaining and implementing consumer insights, and increased efforts to ensure that Nestlé products are visible and conveniently available. Recognizing the need for a more flexible sales force capable of tapping emerging opportunities, the Company had earlier in the year restructured the sales organization. While the sales structure that was put in place is now stabilizing the Company has significantly, during the past one year, increased the outlets that retail its products. About this revolution Brabeck-Letmathe’s message, “the new regime seems to have been a case of steady-as-you-go for Dispaux”. In the job for almost 11 years, he’s fiercely proud of the progress that has been made in welding Nestlé’s widely scattered forces into a coherent whole. "Ten years ago, we had every spreadsheet and word processing program you’d ever heard of? Now there’s Microsoft Office," he says. "There was a time when you couldn’t send an e-mail from the U.S. to the U.K., and now you can send an e-mail from anywhere to anywhere." When he came into the job, he adds, an informal audit showed that Nestlé had around 140 different financial systems, now it’s down to a handful, and there will ultimately be only one, SAP. Improved technology has helped in the consolidation, but so have the impact of trade liberalization and the easing of Cold War tensions. "These days, my constituency is much more homogenous than it was 10 years ago," Dispaux says. "Then, there were countries such as India and Brazil into which you couldn’t import AS/400s, and the Eastern bloc was pretty much untouchable. Now, we deal with Russia like we do with Spain." In this paper we covered impact of Information Technology over the Company, its detailed functionalities, position in the market, business strategies followed in the perspective of FMCG industries, and some of the negative aspects of this company. Lastly we concluded with the revolutionizing affects of e-business strategies taken by the company, for better marketing opportunities.

Ethical Issues in Mergers and Acquisitions-A Case Study of Arcelor Mittal

In recent years cross- border mergers and acquisitions (henceforth, M&A) have increased in importance due to globalization, liberalization, technological development and intensely competitive business environment. They are the means to enter foreign markets, secure resources and increase global outreach. This process in extensively used for restructuring the business organization. The consequences of M & A can be an important ethical issue as the employees in such organization feel ethics-related pressures at nearly double the rate of other workers. Considering the ethical call and the size of people influenced by the waves of M & A, examining M & A from an ethical perspective has become a pressing issue. As a case study, this research paper has chosen the merger of Arcelor & Mittal Steel. Mittal Steel was the biggest producer of steel in the world and had bought Arcelor which was the leading producer in Europe. This merger happened in 2005 making Arcelor Mittal as the leading company that controls the steel sector in the world.

Distributed Context Switching in Complex Adaptive Systems

This paper aims to contribute to the tactical and operational decision making process of manufacturing and logistics operations by providing distributed context switching into modeling and simulation, based on complex adaptive systems (CAS). The research approach is theoretically based on CAS with agent-based modeling (ABM) as the implementation method. A case study is presented where an agent-based model has contributed to distributed context switching to increased understanding and precision in decision making by an agent in distributed environment.

New Advancement of Intelligent Business Management System to Enhance Data Mining Facets

Data mining or knowledge discovery refers to the process of finding interesting information in large repositories of data. The term data mining also refers to the step in the knowledge discovery process in which special algorithms are employed in hopes of identifying interesting patterns in the data. These interesting patterns are then analyzed yielding knowledge. The desired outcome of data mining activities is to discover knowledge that is not explicit in the data, and to put that knowledge to use. This paper contains study about data mining algorithms as a part of intelligent business management system and we are going to refer its implementation into different applications and areas.

total: 873 | displaying: 821 - 840

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CA Prashant Jain
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