With the advent of globalisation, the world has become a global village. In other words, traveling to other countries has become easy since the travel industry has facilitated economic growth, world trade, international investment and tourism. This paper addresses the future of air travel due to the adoption of an open sky policy by some of the developing countries who are somehow forced to do so as other airlines become too competitive. The first and foremost purpose of this dissertation is to assess the impacts and benefits of regulation and liberalisation on developing countries with a special consideration for the small island developing states (SIDS). Mauritius is a classic example of one such state that has favoured free enterprise for its economic development and has had to give up the quasi-monopoly of its flag carrier. Moreover, the purpose of this paper is to exhibit the benefits of an open sky policy for the government and the consumer. Furthermore the paper also aims at explaining the potential threats that a flag carrier like may face with the advent of an open sky policy. Another objective of this project has been to devise a policy theory that could help airlines of SIDS to develop further strategies within a framework where deregulation and liberalization are bound to become a necessity and inevitable development to reckon with.

The aim of this study was to provide an analytical tool to evaluate and select the best supplier(s)/vendor(s) in fuzzy environment for Television (TV) manufacturing organization. A hierarchy through which decision makers can bring about a comparison among the suppliers was worked out and software for the same was developed. The methodology for selection was based upon multiple criteria decision making/multiple attribute decision making (MCDM/MADM) method using technique for order preference by similarity to ideal solution (TOPSIS). MCDM approach and application of TOPSIS proved to be a powerful technique for rapid, performance evaluation, comparative assessment and selection of supplier(s). Biasness in decision making process was avoided using weights for DM’s based on their proficiency in the problem under consideration. The suppliers were evaluated and selected on the basis of criteria/attributes (quality, delivery, price, and suggestion acceptance) and weights were assigned (0.5, 0.3, 0.1, and 0.1) to them. The ranking/selection order of ten suppliers (alternatives) was determined as C4, C5, C10, C7, C2, C6, C1, C8, C9, and C3. Although the study concentrates on TV manufacturing organization, however the methodology can be adopted by any organization if the criteria and alternatives are clearly defined. Results have provided valuable suggestions to suppliers on how to improve each criterion so that they could bridge the gap between actual and aspired performance values in the future. The decision-aiding software was implemented in C language to automate the supplier(s) selection process.

In the present paper, we obtain three new finite integral formulas. These formulas involve the product of a general class of polynomials and the generalized Meliin- Barnes type of contour integrals. Mainly we are using series representation of the H-function given by Agarwal [14], Agarwal and Jain [13]. These integral formulas are unified in nature and act as the key formulas from which we can obtain as their special cases. By giving suitable values to the parameters, our main integral formulas are reduces to the Fox H-function, the G-function and generalized wright hypergeometric function.

Wireless Mobile Ad Hoc Networks are particularly vulnerable due to their fundamental characteristics such as an open medium, dynamic topology, distributed cooperation, Vehicle - to - vehicle / vehicle - to - infrastructure (V2X) communication systems are envisioned to greatly improve road safety, traffic efficiency, and driver convenience. However, many V2X applications rely on continuous and detailed location information, which raises location privacy concerns. A multitude of privacy protection mechanisms have been proposed in recent years. However, few efforts have been made to develop privacy metrics, which can provide a rigorous way to assess the privacy risk, evaluate the effectiveness of a given mechanism, and exploit the full possibilities of protection methods in V2X systems. Therefore, in this paper we present a trip-based location privacy metric for measuring user location privacy in V2X systems. The most distinguishable aspect of the metric is to take into account the accumulated information, which is the privacyrelated information acquired by an adversary for an extended period of time, e.g., days or weeks.

We study the long-time dynamics of classical solutions to an initial-boundary value problem for modeling equations of a two-component mixture. Time asymptotically, it is shown that classical solutions converge exponentially to constant equilibrium states as time goes to infinity for large initial data, due to diffusion and boundary effects.

The author suggests that a number of barriers currently exist to the wider inclusion of meditation in the business curriculum: (1) the lingering association that many people have with meditation as a strictly spiritual practice, rather than as a tool that anyone can learn and apply; (2) the concern that students will think meditation is inappropriate as part of professional training and unrelated to their future managerial role; and (3) the lack of knowledge among business professors about how to teach meditation and integrate its practice into the topics of their course. The paper addresses these concerns by reviewing the current research and popular use of meditation; presents the results our research into student attitudes towards seven statements about the value of meditation in the business curriculum; and discusses the practical issues such as when and how to introduce meditation, approaches to integrating mediation with other course topics, and effective responses to typical student concerns.

History is replete of its own repetitions and contradictions and domestic and international air transport are no exceptions. It has now become necessary for several reasons to assess how limited resources could be more wisely used for further welfare and economic growth without threatening the very existence of mankind. In other words we need to stop ‘shooting ourselves in the foot’ by playing a game of duplicity when it comes to ecology and environmental protection the paradox of economic development and industrialization. The 20th century has seen the rapid and swift development of both international and domestic air transport worldwide. Emphases then were on efficiency, speed, comfort, cabin and cargo space and load factor. In the 2nd half of the last century, more specifically in the early 70s up to the end of the century and as a result of energy crises, oil peaks and price hikes of cartels, more attention was given to fuel efficiency. Air transport being an essential service has forced most aircraft manufacturers to devote more energy, investment and time to designing better equipment. In so doing, aircraft manufacturers, airline operators and governments have all overlooked the issue of sustainability. This oversight has now become a major concern for all. Because of the global but fragmented nature of air transport, it is difficult to regulate the industry in order to establish standard policies and procedures. Attempts made by the European Union have so far produced mitigated results. In this paper, we look at the contradictions and paradoxes when nations have to make a choice between the‘now’ and the ‘future’, between the options of further economic growth and sustainability and between welfare and wealth.

The intention of this study is to examine and analyze the performance of Pakistani textile weaving industry over the last decade (2001-2010). This study is showing the overall performance of this sector that how much total assets are depending on equity and paid up capital. The study is examining that in which year sale is on its peak and how much sale is depending on total asset, bank chargers and profit after tax. On the other side how much profit after tax is depending on total asset, equity and sales. The study is informing about companies profit before tax and profit after tax, that how much companies are earning and how much they are giving in term of tax. This study is examining that in which years variables are more consistent. The study is analyzing that autocorrelation exists between variables or not. Overall study and its graphical representation are helping to come on a conclusion that this sector is flourishing or not, and sale and profit of the companies are increasing or decreasing over the last decade (2001-2010).

This paper proposes a method of dispatch strategy using a unique power injection model of UPFC demonstrating the capability of voltage stability limited power transfer and minimum transmission loss based on Modified Real Coded Genetic Algorithm Optimization . This paper also discusses the compatibility of this model for matrix converter based UPFC. To maximize the voltage stability limited power transfer, bus voltage regulation alone is not sufficient. Hence a dispatch strategy is evolved using GA so as to control the power circulation between the shunt and series end of the transmission line for the specified real and reactive power transfer at target voltage magnitude. The UPFC is operated in automatic power flow control mode at its rated capacity. The UPFC controllable parameter values are obtained from the modified GA solution.GA also offers the best location for the UPFC to be placed along with the optimum operating conditions so as to minimize the transmission losses. Voltage stability evaluation and analysis is carried out using PV analysis on the standard IEEE 14 Test Bus and the test results with and without GA are compared. It was found that GA algorithm offers the best solution to minimize the transmission losses.

Associative rule mining is defined as the task that deals with the extraction of hidden knowledge and frequent patterns from very large databases. Traditional associative mining processes are iterative, time consuming and storage expensive. To solve these processes, a way of representation that reduces this size and at the same time maintains all the important and relevant data needed to extract the desired knowledge from transaction databases is needed. This paper proposes a method that merges the transactions in the transaction database and uses FP-Growth algorithm for mining associative knowledge is presented. The experimental results in terms of compression ratio, both in terms of storage required and number of transactions, prove that the proposed algorithm is an improved version to the existing systems.