950 resultados para Main Hall
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Edward S. Jenison, architect. Also called the Main Building; demolished 1950. On verso: G.R. Swain; 712 East University Ave.; Ann Arbor, Mich. #5712
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Edward S. Jenison, architect. Also called the Main Building; demolished 1950. George R. Swain photograph?
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Edward S. Jenison, architect. Also called the Main Building; demolished 1950.
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Jenison, Edward S., architect. Entrance to University Hall. Solitary person near doorway.
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Jordan & Anderson, architect (1863); Spier & Rohns (1898). The old Law Building was renamed Haven Hall in 1933. It became one of the main buildings for LS&A used by Departments of History, Sociology and Journalism. The old Law Library became a study hall and Bureau of Government Library. Extension Division also had offices in Haven Hall. Image badly faded.
Resumo:
Jordan & Anderson, architect (1863); Spier & Rohns (1898). The old Law Building was renamed Haven Hall in 1933. It becomes one of the main buildings for LS&A used by Departments of History, Sociology and Journalism. The old Law Library became a study hall and Bureau of Government Library. Extension Division also had offices in Haven Hall.
Resumo:
Jordan & Anderson, architect (1863); Spier & Rohns (1898). The old Law Building was renamed Haven Hall in 1933. It became one of the main buildings for LS&A used by Departments of History, Sociology and Journalism. The old Law Library became a study hall and Bureau of Government Library. Extension Division also had offices in Haven Hall.
Resumo:
Jordan & Anderson, architect (1863); Spier & Rohns (1898). The old Law Building was renamed Haven Hall in 1933. It became one of the main buildings for LS&A used by Departments of History, Sociology and Journalism. The old Law Library became a study hall and Bureau of Government Library. Extension Division also had offices in Haven Hall.
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This project proposes two possible solutions for the phasing plan of the intersection near the City Hall of Leiria and presents the calculations of the cycle length and the intersection delay for both of them. The main goal of these solutions is to optimize the global functioning of the intersection. Since the number of cars that use an intersection is will fluctuate with time, when using pre-timed traffic lights, adjustments are needed to the settings of the traffic signals, to assure the accommodation of the present traffic flows in the intersection under acceptable conditions for drivers.
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Practitioners and academics have developed numerous maturity models for many domains in order to measure competency. These initiatives have often been influenced by the Capability Maturity Model. However, an accumulative effort has not been made to generalize the phases of developing a maturity model in any domain. This paper proposes such a methodology and outlines the main phases of generic model development. The proposed methodology is illustrated with the help of examples from two advanced maturity models in the domains of Business Process Management and Knowledge Management.
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Through media such as newspapers, letterbox flyers, corporate brochures and television we are regularly confronted with descriptions for conventional (bricks 'n' mortar style) services. These representations vary in the terminology utilised, the depth of the description, the aspects of the service that are characterised and their applicability to candidate service requestors. Existing service catalogues (such as the Yellow Pages) provide little relief for service requestors from the burdensome task of discovering, comparing and substituting services. Add to this environment the rapidly evolving area of web services with its associated surfeit of standards, and the result is a considerably fragmented approach to the description of services. It leaves the reality of the Semantic Web somewhat clouded. --------- Let's consider service description briefly, before discussing our concerns with existing approaches to description. The act of describing is performed prior to advertising. This simple fact provides an interesting paradox as services cannot be described exactly before advertisement. This doesn't mean they can't be described comprehensively. By "exactly", we are referring to the fact that context provided by a service requestor (and their service needs) will alter the description of the service that is presented to the discoverer. For example, a service provider who operates a cinema wants to describe the price of their service. Let's say the advertised price is $15. They also want to state that a pensioner discount and a student discount is available which provides a 50% discount. A customer (i.e. service requestor) uses the cinema web site to purchase tickets online. They find the movie of their choice at a time that suits. However, its not until some context is provided by the requestor that the exact price is determined. The requestor might state that they are a pensioner. The same is applicable for a service requestor who purchases multiple tickets perhaps on behalf of other people. The disconnect between when the service is described and when a requestor provides context introduces challenges to the description process. A service provider would be ill-advised to offer independent descriptions that represent all the permutations possible for a single service. The descriptive effort would be prohibitive.
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The aim of this project is to develop a systematic investment decision-making framework for infrastructure asset management by incorporation economic justification, social and environmental consideration in the decision-making process. This project assesses the factors that are expected to provide significant impacts on the variability of expenditures. A procedure for assessing risk and reliability for project investment appraisals will be developed. The project investigates public perception, social and environmental impacts on road infrastructure investment. This research will contribute to the debate about how important social and environmental issues should be incorporated into the investment decision-making process for infrastructure asset management.
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The management of main material prices of provincial highway project quota has problems of lag and blindness. Framework of provincial highway project quota data MIS and main material price data warehouse were established based on WEB firstly. Then concrete processes of provincial highway project main material prices were brought forward based on BP neural network algorithmic. After that standard BP algorithmic, additional momentum modify BP network algorithmic, self-adaptive study speed improved BP network algorithmic were compared in predicting highway project main prices. The result indicated that it is feasible to predict highway main material prices using BP NN, and using self-adaptive study speed improved BP network algorithmic is the relatively best one.