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In this thesis, we study the broadcast scheduling algorithms in a dynamic environment with set-typed data requests. We sketch the dimensions of broadcasting paradigms and build a family of Wp

The U.S. sheep industry has been declining in size for many years. Many factors have contributed to the decline of the sheep industry including declining consumption of lamb and mutton, the growth in manmade fiber use, scarcity of labor, and predator losses. In an effort to slow the rate of decline in the U.S. sheep industry, the U.S. Congress passed the Wool Act of 1954. In 1993, Congress passed a three-year phase out of the Wool Act incentive payments with the last payments occurring in 1996. The 2002 Farm Bill included a marketing loan program for wool. The loan rates are set to $0.40 per pound for un-graded wool, $1.00 per pound for graded wool. In recent years exchange rate changes have had a large impact on the industry affecting lamb and wool trade. The U.S. is the second largest producer of mohair and Texas accounts for over 85 percent of the U.S. mohair production. Mohair also received incentive payments through the Wool Act. Mohair payments were also phased out along with the wool incentive payments. Moreover, the 2002 Farm Bill reinstated support for the industry by implementing a loan program with loan rates of $4.20 per pound of mohair. This analysis uses capital stock inventory accounting methodology to model the supply side of the sheep industry. Demand is incorporated using traditional single equations and complete demand system estimation methods. OLS, 2SLS, and 3SLS models are developed and tested for the single equations estimation methods. The OLS model is used to model the impacts of three different levels of loan rates for wool. Also, an OLS mohair model is developed and used to examine the impacts of three different levels of loan rates for mohair. Results indicate that the sheep industry will continue to decline even with the marketing loan program for wool in the 2002 Farm Bill. However, a higher loan rate for wool would reduce the decline rate of the industry. The Angora goat industry will continue to decline in size, but with a higher loan rate for mohair, the number of goats clipped would increase.

For most of organizations initiating IT projects to improve the business performance, they could possibly face an opportunities lost and spend a huge project cost resulting in losing competence in making profit simply due to IT project failure. The senior managers in the organization need fully understand what kind resources and capabilities are required for the project team to ensure the success. As value proposition addressed by ASP (application services provider), Software as a Service or on-demand application, it will allow organizations to only focus on the business needs and redesign the cross-functional and cross-organizational processes. Also the IT project could quickly show its striking value in a shorter time frame by outsourcing the technical works to application service provider. In other words, ASP business model provide customers a new choice to access the system services via the internet. These solution providers not only develop the product and upgrade roadmaps but also operate and maintain the systems on behalf of the customers. It¡¦s also a method for the customers to enjoy the latest technology and professional services in an economical way. The value of this research work is to analyze how the senior managers of the enterprise making the choices over different alternatives under the organizational constraints comprising successful stories, personal own experiences and used operational practices in the past. A case study of B2B supply chain collaboration project is used to revisit the managers¡¦ assumptions and elaborate how these organizational constraints are exercised in the project evaluation, decision and implementation cycle based on a generic evaluation and decision framework of B2B collaboration solutions. This report intends to provide some insight and suggestions for the senior managers to take advantage of the opportunities and advantage, like the Software as a Service or On-demand applications, enabled by the internet world. An optimized decision can be possibly achieved only if the managers are aware of the invisible organizational constraints.

The study divides Person-Job fit into 3 fits: Demand-Ability fit, Value-Supply fit and Self-concept-Job fit. These three fits are independent variables. Job safety, pay satisfaction and job satisfaction are dependent variables. The study tests that the impact of the three independent variables being on the three dependent variables.The results of the study are as following: 1. The correlations of variables (1)There is a significant positive relation between D-A fit and job safety (2)V-S fit has a significant positive relation among job safety, paysatisfaction and job satisfaction. (3)SC-J fit has a significant positive relation with SC-J fit, job safety,pay satisfaction and job satisfaction 2. The impact of three fits on job safety, pay satisfaction and job satisfaction (1)D-A fit has the greatest impact on job safety; the second greatest impact on job satisfaction; the least on pay satisfaction (2)V-S fit has the greatest impact on pay satisfaction; the second greatest impact on job safety; the least on job safety. (3)SC-J fit has the greatest impact on job safety; the second greatest impact on job satisfaction; the least on pay satisfaction.

In a video-on-demand streaming system, each user watch dufferent video frame according to their arrival time. In the thesis, the concept of multi-source and the forward error correction scheme are implemented to decrease the workload bandwidth of server and reduce the packet loss probability of each peer in the peer-to-peer video-on-demand system. Here, in order to share data to some peers arrive later, each peer must cache part of video data that recently viewed. Each new arrival peer needs to contact multiple sources who have initial part of video data to get video streaming data, and each source transmits different part of video streaming. Once receiving all of these partial stream, the peer will get completely video data. Simulation shows that a suitable preserve time of peers in the system can be used. Thus, the workload bandwidth of server used and memory used by peers can be reduced, too. Furthermore, the packet loss probability is decreased by the sources diversity and the FEC recovery.

The methodology is based on an application of nonlinear ESTR ECM by Kapetanios et al. (2006) to analyze the short-run dynamic adjustment to long-run equilibrium in Taiwan money demand function. We take consideration of Taiwan as a small open economy system, the exchange rate could be included in money demand function. The result indicate that using ESTR ECM to analyze the adjustment behavior of money demand function in Taiwan is better than linear ECM. Our findings point out that the public adjusts at any time for holding money and the speed of adjustment for real balances depends on the size of deviation.

To provide interactive operations such as fast-forward, slow-forward, switch channel, and jump function for peer-to-peer on demand video streaming is a challenge. In this thesis, we proposed a vEB-tree (van Emde Boas tree) based architecture for interactive VoD services in peer-to-peer networks. The proposed architecture assumes videos can be divided into many segments, and these segments are stored in each peer. In the architecture, it includes vEB-tree based topology, procedure of demand segment search, and a distribution scheme. It not only efficiently provides interactive operations but also reduces the control messages. Additionally, each peer stores segments based on the proposed distribution scheme to reduce the server stress. Experimental results demonstrate that the proposed architecture outperforms Baton, BBTU, and VMesh in terms of jump latency, server stress, and neighbors¡¦ maintenance cost.

The employee benefit committee of the specific industry, to its planning employee benefit measure, should look over the mechanism; understand its affiliated staff's satisfaction to the current employee benefit measure, and whether staff's demand for the employee benefit measure and current employee benefit measure are different to some extent. This research is mainly directed against the leading brand K Company of manufacturing industry of domestic motorcycle, the affiliated committee's planning employee benefit measure of industrial benefit, the staff do in order to study in the measure demand of the employee benefit different from to some extent in satisfactioning. This research offers the staff of a measure of the benefit as the research object with the affiliated employee benefit committee of case company. The main purpose of this research is as follows: 1. Do not change the staff of one with demography, is it different to some extent that to the measure satisfaction of the employee benefit? 2. Does the benefit have looks relation to link up the type and employee benefit measure satisfaction? 3. Demand project to the benefit measure of affiliated staff of employee benefit committee of case company, different to some extent with measure projects of the current employee benefit? The main research conclusion is as follows: 1. Different demographic parameters will influence the measure satisfaction of the employee benefit. 2. It will influence the measure satisfaction of the employee benefit that different benefit link up the type. 3. The measure demand of employee benefit and employee benefit measure satisfaction are related.

Transportation infrastructure has long been recognized as the sine qua non of rapid economic development. As a predominantly agrarian economy with a vast and growing population spread over an extensive mass of land, India presents a veritable case of this truism, sadly by the lack of it. Notwithstanding the vagaries of development in other sectors, the transport sector in India, ironically, has received scant attention over five decades of the planning era, which has lent itself to lop-sided development in favour of the railways. Though deregulation and attendant economic reforms have augmented transport services by air and road in the last decade, the inadequacy of transport infrastructure and the acute paucity of resources to fulfil the provision of the same have been the bane of problems confronting the government. Privatization as a solution to circumvent resource constraints has raised new issues of social and environmental equity, which transcends the immediate concerns of infrastructure development. As is evident, though the solutions to the problems of the transport sector are multifarious, they emphasize the imperative need for rational and integrated transport planning and policy. A cursory look at the problems plaguing this sector also reveals that the issues and concerns cannot be dealt with in its entirety. Against this background, we confine ourselves to the study of the passenger transport sector and attempt to address an interesting and increasingly apparent phenomenon of travel behaviour, namely intermodal choice and modal substitution. The genesis of this study was an earlier work done by a research team at the Centre for Mathematical Modelling and Computer Simulation (C-MMACS), NAL, where in, a general methodology to describe the growth of the transport sector in India was developed in terms of appropriate mathematical models. Significantly most of the variables describing demand, supply and performance were found to trend exponentially. However, the models failed to reflect the trends in intermodal substitution and its significance in evaluating future transport demand. For example, the development or availability of alternative means like rail or personalized vehicles may influence the demand for bus transport. Similarly demand for air transport may be a function of comparative advantages presented by alternatives like upper class rail travel. This phenomenon is observed to be pronounced on short-haul routes characterizing inter-city travel, where such modes are extremely competitive. We consider a regional network of high-density routes in southern India, as a representation of several such transport networks across the country, to study this phenomenon and its implications for future policy. The primary objective of this study is to develop and evaluate a set of econometric models that would adequately measure the extent of intermodal substitution in passenger transport on short-haul routes (inter-city travel) and, critically evaluate the factors that affect travel choice in a multimodal environment. Toward this, the study is divided into three parts. Part one focuses on understanding broad trends in air, rail and road travel, for the routes in consideration. Suitable regressions are estimated to measure the effect of critical transport variables on route-wise travel demand. The coefficients are estimated separately for two categories of travel - First Class and Second Class. Part two of the study is based on data collected from individual travel surveys on the route network. A simplified questionnaire was used for this purpose. We use the traditional logit framework to estimate choice probabilities based on user perceptions about factors affecting their choices. As in the previous case, we estimate the logits for both classes of travel, viz. First Class and Second Class, under the equal substitutability assumption. We also estimate the logits for the general case for the sake of comparison, though not practicable. Part three involves a case-study of an alternative high-speed rail link for one of the routes in the network having the highest traffic density, to illustrate its effect on travel choice in a multimodal transport network. We also demonstrate the feasibility of the project using a benefit-cost approach. From the results, it is observed that substitution is predominantly from air to rail for "first-class" travel, and from rail to road for "second-class" travel. Besides, it is also observed that travel choice is largely influenced by non-price (fare) considerations. The value of travel time is estimated for both categories of travel, using the trade-off method and is found to be significantly different. All regressions show a high and the coefficients are significant at the 5% level. The logit analysis validates the earlier conclusion that non-price (fare) factors influence the demand for different modes. It is found that users attach considerable importance to comfort and convenience, including time of travel, while making travel choices. It is also observed that the logits vary significantly when factors are grouped, and further, between categories of travel In the case of the high-speed link, we estimate that there will be a significant shift in travel demand from air to rail and also from road to rail, given substantial travel time savings. The estimates of passenger revenue and decongestion benefits also provide a strong rationale for the implementation of the project. Sources of data include published and unpublished records of Indian Airlines, Indian Railways and State Road Transport Undertakings (SRTUs) on air, rail and road travel respectively. Data on population and other macroeconomic variables were obtained from census records and similar statistical publications. An important feature of this study is its attempt to bridge the macro and micro policy environments. It is one of the first attempts to study the dynamics of travel demand and choice behaviour in a multimodal regional transport network in India. Unlike previous studies, it transcends the realm of urban transport economics and extends its scope to the study of regional transport characteristics, where inter-city passenger travel has undergone significant changes both in environment and behaviour in the last decade. The entire study has been conceptualized in a system dynamics framework to describe its relevance to overall transport planning. It is believed that such an exercise would be a precursor for the development of a full-fledged macroeconomic model of the transport sector in India.