The study analyzes that how information systems facilitate football clubs. To fulfill these purposes this study adopts a design strategy which contains theoretical and empirical parts. It gives a way how to operate and improve works to solve and avoid problems in various sectors in order to facilitate football clubs. This study chooses a suitable information system development methodology and designs a general football club information system model. In the empirical study a questionnaire survey is made to check and complete a general football club information system model. This study proves that information systems can facilitate football clubs in business processes and operations, internal communication and decision-making; furthermore, it supports football club business strategies and helps establish a powerful human resource management project. / Program: Magisterutbildning i informatik

O modelo do sistema térmico do corpo humano consegue representar as respostas térmicas e fisiológicas do corpo a diferentes condições ambientais. Diversos modelos foram propostos por pesquisadores durante algumas décadas. E mesmo os modelos mais utilizados e de pesquisadores conceituados não são robustos o suficiente para apresentar boas respostas para condições ambientais extremas. No presente trabalho, foram introduzidas melhorias no modelo disponível para que este possa melhor representar as reações do corpo em condições de climas tanto rigorosas quanto amenas. Dentre as principais modificações implementadas estão o detalhamento dos membros superiores do corpo, aplicação do efeito q10 e inclusão do modelo de duração da termogênese ativa. Deve-se ressaltar que o modelo é aplicável tanto para climas frios ou quentes. As melhorias devido às modificações aplicadas foram mais notáveis em condições de ambientes frios. As temperaturas das extremidades dos membros superiores tendem a se aproximar da temperatura ambiente. Esse comportamento térmico do corpo também é observado através dos dados experimentais disponíveis na literatura. / The thermal system model of human body is capable to estimate physical and physiological response of body at different environmental conditions. Several models were proposed by some researchers over the last 80 years. Most models are not robust, despite at current developments and studies in the area. In the present work, improvements were applied in the available model, this upgrade allows the human thermal system model respond better at both environmental conditions rigorous and moderate. Detailing the upper limbs vascular system, finger representation, q10 effect on metabolism rate and shivering endurance are among the major changes. The model works well for both environmental conditions, hot and cold. The difference between the proposed model and the available one is most notable at cold environmental condition. The temperature of fingers and hands tend to approach the environment temperature. This thermal behavior of human body is also observable in the experimental data of literature.

This dissertation aims to better understand how various climate modeling approaches affect the fidelity of the North American Monsoon (NAM), as well as the sensitivity of the future state of the NAM under a global warming scenario. Here, we improved over current fully-coupled general circulation models (GCM), which struggle to fully resolve the controlling dynamics responsible for the development and maintenance of the NAM. To accomplish this, we dynamically downscaled a GCM with a regional climate model (RCM). The advantage here being a higher model resolution that improves the representation of processes on scales beyond that which GCMs can resolve. However, as all RCM applications are subject to the transference of biases inherent to the parent GCM, this study developed and evaluated a process to reduce these biases. Pertaining to both precipitation and the various controlling dynamics of the NAM, we found simulations driven by these bias-corrected forcing conditions performed moderately better across a 32-year historical climatology than simulations driven by the original GCM data. Current GCM consensus suggests future tropospheric warming associated with increased radiative forcing as greenhouse gas concentrations increase will suppress the NAM convective environment through greater atmospheric stability. This mechanism yields later onset dates and a generally drier season, but a slight increase to the intensity during July-August. After comparing downscaled simulations forced with original and corrected forcing conditions, we argue that the role of unresolved GCM surface features such as changes to the Gulf of California evaporation lead to a more convective environment. Even when downscaling the original GCM data with known biases, the inclusion of these surface features altered and in some cases reversed GCM trends throughout the southwest United States. This reversal towards a wetter NAM is further magnified in future bias-corrected simulations, which suggest (1) fewer average number of dry days by the end of the 21st century (2) onset occurring up to two to three weeks earlier than the historical average, and (3) more extreme daily precipitation values. However, consistent across each GCM and RCM model is the increase in inter-annual variability, suggesting greater susceptibility to drought conditions in the future.

<p>Certification of energy wheel effectiveness by a selected international laboratory for many types and sizes of wheel produced by each manufacturer has proven to be very expensive and has been prone to large uncertainties. This research uses a new, low-cost, transient method to predict the effectiveness using only data obtained from transient measurements.</p><p>In this thesis, an analytical model is presented for predicting the effectiveness of rotating energy wheels using only the characteristics measured on the same non-rotating wheels exposed to a step change in temperature and humidity. A relationship between the step response and the periodic response of an energy wheel is developed using first order linear system design theory. This allows the effectiveness of an energy wheel to be predicted when the characteristics of a step response are known. The effectiveness correlations and uncertainty bounds for sensible and latent effectiveness of energy wheels determined from transient measurements are thus presented.</p><p>The experimental transient testing method and experimental verification of the effectiveness model for several different wheels are also presented in this thesis. The results obtained from the new effectiveness model are shown to agree, within uncertainty bounds, with the results obtained from the standard steady state experimental testing method and numerical simulations.</p>

<p>Certification of energy wheel effectiveness by a selected international laboratory for many types and sizes of wheel produced by each manufacturer has proven to be very expensive and has been prone to large uncertainties. This research uses a new, low-cost, transient method to predict the effectiveness using only data obtained from transient measurements.</p><p>In this thesis, an analytical model is presented for predicting the effectiveness of rotating energy wheels using only the characteristics measured on the same non-rotating wheels exposed to a step change in temperature and humidity. A relationship between the step response and the periodic response of an energy wheel is developed using first order linear system design theory. This allows the effectiveness of an energy wheel to be predicted when the characteristics of a step response are known. The effectiveness correlations and uncertainty bounds for sensible and latent effectiveness of energy wheels determined from transient measurements are thus presented.</p><p>The experimental transient testing method and experimental verification of the effectiveness model for several different wheels are also presented in this thesis. The results obtained from the new effectiveness model are shown to agree, within uncertainty bounds, with the results obtained from the standard steady state experimental testing method and numerical simulations.</p>

After the National Communications Commission lifted the ban on cross-industry, the boundaries of cable television and telecommunication services become increasingly blurred. Thereafter, cable business owners in network operations management area are facing the telecommunication industry with fierce competition. They also need to overcome the high morphological variable services with the impacting of increasingly complex processes. The Information communications in business organizations have generated problems of the information exchanging fault and the recognition process management gap. Therefore, the operational mechanism on cable network management systems becomes very important and meaningful. This study is based on system architecture and logic rule to use the structure-behavior coalescence (SBC) architecture description language (ADL). Through the design-based research (DBR) methodology, it integrates the concepts of information systems and business management, and develops a proprietary architecture tools by innovating cable televisions with architecture-oriented cable network management system model (AOCNMSM). This study also uses logical classification rules to verify the following purposes: (1) Building the network management systems model to meet the business integrated operations. (2) Combining of network management system and organizational information flow to avoid information exchange faults. (3) Excluding the potential barriers on the network management system to avoid the recognition gap of organizational management. By introducing the AOCNMSM, we allow cable business owners to view their online network easier on most environmental management issues. They shall truly achieve the integration of information systems and organizational management and enhance the service quality of cable television to create a more flawless business performance.

The electric arc furnace steelmakers produce steel across wide ranging sizes and different quality levels. The method of using electric arc for melting is an important process to produce steel from iron or scraps. The diversity of products and markets makes the steelmakers to operate within a large number of constraints of limited enterprise resources, so the electric arc furnace manufacturing system faces problems to integrate the enterprise resource planning system with the manufacturing execution system. The international automation society has come out a solution with an international standard, also known as ISA-95 aimed to help manufacturing industries such as electric arc furnace steelmakers, for the integration of enterprises and control systems. However, ISA-95 only emphasizes on the integration of enterprises and control systems, but does not provide a whole picture of the entire system. This research utilizes the tool of system architecture to develop the architecture-oriented electric arc furnace manufacturing system model, abbreviated as AOEAFMSM, to illustrate coherently the structure view and the behavior view of the electric arc furnace manufacturing system. Furthermore, AOEAFFMSM is able to fully describe many other views of the electric arc furnace manufacturing system. This capability satisfies everybody¡¦s need for capturing different views of the system. Consequentially, AOEAFFMSM simplifies the software development and reduces many communication difficulties among system developers and customers. In modeling the electric arc furnace manufacturing system model, AOEAFFMSM is superior to ISA-95.

Only after information system implementation it is possible to ensure effective and save computerisation and automation for smart house, which gives possibilities for remote devices or subsystems manage. Information system must ensure effective information collection, processing, monitoring or presentation measures. Changeable functional and information requirements are intrinsic for smart house information systems. Such a system must be flexible for new objects or systems integration. The flexible structure provides the rapid adaptation of the system to the control object directly. There was analysed smart house CIS development methods, smart house peculiarities and described systems integration problems in this job. Also presented objective model for smart house CIS and it main principals. According to analysed problems it was made model verification during experimental phase. The result - offered flexible smart house CIS model that allows save new objects implementation and olds modification.

As the most destructive forest disturbance in British Columbia, wildfire becomes more worrisome for increasing uncertainty due to climate change. The current study investigates the potential to predict wildfire occurrence using climate indexes and quantify its marginal prices for property values at the municipal level, so as to provide a quantitative indicator for decision making in regard to influences of wildfire occurrence in the near future. First, significant correlations between monthly temperature and precipitation and large fire occurrence with distinctions in terms of distances to municipalities are proved by statistical analysis. Monthly wildfire occurrence are then statistically estimated with the four-month lags of the El Niño index and predicted using count models with regional differences. At last, the hedonic pricing model shows distance based positive impact of fire frequency and negative impact of fire size in neighbouring areas on property values. / Graduate / 0366 / 0478 / 0463 / zach_xu@hotmail.com

As the most destructive forest disturbance in British Columbia, wildfire becomes more worrisome for increasing uncertainty due to climate change. The current study investigates the potential to predict wildfire occurrence using climate indexes and quantify its marginal prices for property values at the municipal level, so as to provide a quantitative indicator for decision making in regard to influences of wildfire occurrence in the near future. First, significant correlations between monthly temperature and precipitation and large fire occurrence with distinctions in terms of distances to municipalities are proved by statistical analysis. Monthly wildfire occurrence are then statistically estimated with the four-month lags of the El Niño index and predicted using count models with regional differences. At last, the hedonic pricing model shows distance based positive impact of fire frequency and negative impact of fire size in neighbouring areas on property values. / Graduate / 0366 / 0478 / 0463 / zach_xu@hotmail.com