The System Architecture for Tracking Individuals (SAFTI) is an indoor person location tracking system designed for use in the field of pervasive computing. SAFTI provides location tracking in environments where cameras are too privacy invasive, where tracking devices are too costly, insecure or inconvenient, and where usability is a high priority. While many location tracking systems satisfy each of these constraints individually, SAFTI satisfies all three constraints simultaneously. Upon entering and exiting SAFTI buildings, users submit identification credentials. Once inside the building, using SAFTI is effortless - simply passing through doorways is sufficient for supplying SAFTI with the information it needs to perform location tracking. An integral part of SAFTI is the Weakly Identifying System for Doorway Monitoring (WISDOM). These instrumented doorways contain a variety of infrared, ultrasonic and pressure sensors that detect the direction of passage and measure each user's body size and shape. We quantify the measurement and identification accuracy of WISDOM by analyzing data collected from a user study containing 530 passes through a WISDOM prototype from 10 different subjects. We combine the results from WISDOM with large publicly available anthropometric databases to evaluate how accurately SAFTI performs location tracking with respect to building size, density of occupants, and matching algorithm used. / Dissertation

The purpose of this paper to discuss the monopoly and duopoly firm¡¦s pricing model and the optimal location choice in the Barbell Model. In this study, the first part of this article is that the assumption of market for a barbell market, the monopolist in the face of symmetric and asymmetric barbell market, firm in considering the case of the transportation costs to adopt a different pricing strategy to its optimal location choice. The latter part of this article is to consider if the same circumstances, to a duopoly market, the Cournot and Bertrand competition, the two plants how to choose the most suitable location choice. Also, we discuss the social welfare analysis under different circumstances and when it will reach the principle of minimum differential, or the principle of maximum differential.

This dissertation is focused on investigating the integration of inventory and facility location decisions in different supply chain settings. Facility location and inventory decisions are interdependent due to the economies of scale that are inherent in transportation and replenishment costs. The facility location decisions have an impact on the transportation and replenishment costs which, in turn, affect the optimal inventory policy. On the other hand, the inventory policy dictates the frequency of shipments to replenish inventory which, in turn, affects the number of deliveries, and, hence, the transportation costs, between the facilities. Therefore, our main research objectives are to: • compare the optimal facility location, determined by minimizing total transportation costs, to the one determined by the models that also consider the timing and quantity of inventory replenishments and corresponding costs, • investigate the effect of facility location decisions on optimal inventory decisions, and • measure the impact of integrated decision-making on overall supply chain cost performance. Placing a special emphasis on the explicit modeling of transportation costs, we develop several novel models in mixed integer linear and nonlinear optimization programming. Based on how the underlying facility location problem is modeled, these models fall into two main groups: 1) continuous facility location problems, and 2) discrete facility location problems. For the stylistic models, the focus is on the development of analytical solutions. For the more general models, the focus is on the development of efficient algorithms. Our results demonstrate • the impact of explicit transportation costs on integrated decisions, • the impact of different transportation cost functions on integrated decisions in the context of continuous facility location problems of interest, • the value of integrated decision-making in different supply chain settings, and • the performance of solution methods that jointly optimize facility location and inventory decisions.

Through the use of a stochastic simulation model this project analyzes both the impacts of the expanding biofuels sector on water demand in selected regions of the United States and variations in the profitability of ethanol production due to location differences. Changes in consumptive water use in the Texas High Plains, Southern Minnesota, and the Central Valley of California, as impacted by current and proposed grain-based ethanol plants were addressed. In addition, this research assesses the potential impacts of technologies to reduce consumptive water use in the production of ethanol in terms of water usage and the economic viability of each ethanol facility. This research quantifies the role of corn ethanol production on water resource availability and identifies the alternative water pricing schemes at which ethanol production is no longer profitable. The results of this research show that the expansion of regional ethanol production and the resulting changes in the regional agricultural landscapes do relatively little to change consumptive water usage in each location. The California Central Valley has the highest potential for increased water usage with annual water usage in 2017 at levels 15% higher than historical estimates, whereas Southern Minnesota and the Texas High Plains are predicted to have increases of less than 5% during the same time period. Although water use by ethanol plants is extremely minor relative to consumptive regional agricultural water usage, technological adaptations by ethanol facilities have the potential to slightly reduce water usage and prove to be economically beneficial adaptations to make. The sensitivity of net present value (NPV) with respect to changes in water price is shown to be extremely inelastic, indicating that ethanol producers have the ability to pay significantly more for their fresh water with little impact on their 10 year economic performance.

Abstract The major economic competition is industry cluster, for example: Italy¡¦s shoemaking, North Carolina¡¦s house furnishings, Germany¡¦s chemical industry, UK¡¦s financial service industry. In Taiwan, Hsinshu Science Park and Taichung¡¦s machinery industry show strong competition. In sum, It provides access to more suppliers and customized support services, to experienced and skilled labor pools, and to the inevitable transfer of knowledge that occurs where people casually meet and talk business. Concentration, or clustering, gives businesses an advantage over more isolated competitors. Clustering enables companies to focus on what they know and do best; they need not do things they do not do well. Companies able to operate more or less as a system can use their resources more efficiently and collectively produce more than the sum of their individual outputs. Jacobs(1985) referred that the relevant geographical unit from a clustering point of view is not the nation but rather the city/region. core metropolitan areas in particular are the well-spring of economic dynamism and innovation, and exert a profound influence on the prosperity of the nations in which they are located. Wang Guo Gang (2003)also referred, there are many financial institutions and securities firms and in financial centre, it also borrowed or lent money across countries. In 21 century, global economic situation changed quickly, and Taiwan faced the challenge of Asia Pacific Zone¡¦s economic grew and integrated quickly. It is far influence to develop international commerce between Mainland China and Taiwan. The government draw up economic construction plan to make economical development breakthrough. It has the blueprint of Taipei finical centre, the fund could in-out freely, and build financial system of international standard. The study would analysis financial industry space distribution by location quotient. And it concluded eight important variable (infrastructure, human resources, knowledge resources. capital resource, market demand, group learning, related and supporting industries, government )by industry cluster theory and Asia financial centres(Singapore, Hong Kong, Shanghai). And it analysis Taipei financial industry by depth interview. Finally, it provide financial industry strategies to the government. Key Words :Industry Cluster Financial Centre Location Quotient

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Abstract This thesis summarizes some of the voltage sag indices that are currently used by the industry. Power quality monitoring results obtained at two science based industrial parks are used to estimate the voltage quality of the electricity service and make comparison with data of a foreign utility company that are available in the literature. Fault position method is used in this study to estimate the distribution of voltage sag vulnerability areas due to the network topology ok in 2005. Comparison of the exposed area is presented. An assessment is conducted for the application of fault position method to estimate the fault location by using fault simulations results and power quality monitoring data.

In view of the fact that multi-store firms have been normal in a real society, this paper is concerned with the spatial decision of a multi-store firm under price regulation. It is shown that a multi-store firm with monopoly power will select as decision variables the size of a single store and the number of stores at the same time. In the duopolistic market, the new entrant will not compete with all stores of the incumbent on the same location, because of the non-existence of positive profit for both firms in this case. The new entrant will select to locate differently to compete with the incumbent in the short term. It is shown that there exists a Nash equilibrium regardless of whether or not the new entrant sets up its stores in the two ends of the linear market area. However, in the long run, the incumbent will decide not only the size of the stores, but also the locations. Nash equilibrium is shown to exist also in the long run. Finally, some numerical simulations of price regulation on welfare are carried out in the last section. Keywords¡Glocation, multi-store firm, price competition

An electric power system consists of the generating stations, the transmission lines, and the distribution systems. Transmission lines are the connecting links between the generating stations and the distribution systems. With the rapid growth of economy and technology, the demand for large blocks of power, power quality and increased reliability suggested the interconnection of neighboring systems. Transmission lines are elements of a network which connects the generating plants to the distribution systems, and could extend hundreds of miles . Because of the long distances traversed by transmission lines over open area, they tend to fade by natural and artificial calamity imposed on the power system. It maybe easy to discover the fault with sufficient information in the populous region. When fault occurs in the remote region, it is difficult to identify the outage location. An efficient and reliable technique is thus desirable to resolve the problem. This dissertation presents the fault location for high voltage lines with Artificial Neural Network( ANN ) method. Beside the fault location, this research also improve the problem further by considering the fault resistance. The fault resistance may not remain the same due to the variation of environmental factors. The fault location may involve errors owing to the fault resistance. An algorithms has been developed in this dissertation to calculate fault resistance and revise the ANN training data for three-phase fault, double line-to-ground fault, single line-to-ground fault, and line-to-line fault. To verify the effectiveness of the method, practical transmission lines were used for tests. The results proved that the method could be used to identify the fault location effectively and help dispatchers determine a reference distance.

Resource location is a necessary operation for computer applications. In large scale peer-to-peer systems, random search is a scalable approach for locating dynamic resources. Current peer-to-peer systems can be partitioned into those which rely upon the Internet for message routing and those which utilize an overlay network. These two approaches result in different connectivity topologies. This thesis analyzes the effect of topological differences on the effectiveness of random search. After demonstrating the benefits of an overlay network, we propose a hybrid approach for resource location. Our proposed protocol provides deterministic searching capabilities which can help prevent request failures for sensitive applications.