Determining Sustainable Development Density using the Urban Carrying Capacity Assessment System

Diverse urban problems in the capital region of Korea occur due to over-development and over-concentration which exceed the region’s carrying capacity. Particularly, environmental problems such as air and water pollution have become more evident and become central issues for urban planners and decision-makers. In achieving sustainable environment through resolving such problems, practical approaches to incorporate the concept of environmental sustainability into managing urban development are needed. This research aims at developing an integrated framework for assessing urban carrying capacity which can determine sustainable development density, and has yielded the following. First, seven determining factors for urban carrying capacity including energy, green areas, roads, subway systems, water supply, sewage treatment, and waste treatment were identified, and the assessment framework was developed by integrating such factors. Second, the UCCAS, a GIS-based carrying capacity assessment system was developed based upon the framework. Finally, through a case study of determining carrying capacity of an urban area, it was revealed that decision support with the UCCAS demonstrated in this research could play a pivotal role in planning and managing urban development more effectively

Cloud Computing cost and energy optimization through Federated Cloud SoS

2017 Fall.Includes bibliographical references.The two most significant differentiators amongst contemporary Cloud Computing service providers have increased green energy use and datacenter resource utilization. This work addresses these two issues from a system's architectural optimization viewpoint. The proposed approach herein, allows multiple cloud providers to utilize their individual computing resources in three ways by: (1) cutting the number of datacenters needed, (2) scheduling available datacenter grid energy via aggregators to reduce costs and power outages, and lastly by (3) utilizing, where appropriate, more renewable and carbon-free energy sources. Altogether our proposed approach creates an alternative paradigm for a Federated Cloud SoS approach. The proposed paradigm employs a novel control methodology that is tuned to obtain both financial and environmental advantages. It also supports dynamic expansion and contraction of computing capabilities for handling sudden variations in service demand as well as for maximizing usage of time varying green energy supplies. Herein we analyze the core SoS requirements, concept synthesis, and functional architecture with an eye on avoiding inadvertent cascading conditions. We suggest a physical architecture that diminishes unwanted outcomes while encouraging desirable results. Finally, in our approach, the constituent cloud services retain their independent ownership, objectives, funding, and sustainability means. This work analyzes the core SoS requirements, concept synthesis, and functional architecture. It suggests a physical structure that simulates the primary SoS emergent behavior to diminish unwanted outcomes while encouraging desirable results. The report will analyze optimal computing generation methods, optimal energy utilization for computing generation as well as a procedure for building optimal datacenters using a unique hardware computing system design based on the openCompute community as an illustrative collaboration platform. Finally, the research concludes with security features cloud federation requires to support to protect its constituents, its constituents tenants and itself from security risks

The mungbean transformation diversifying crops, defeating malnutrition: Diversifying crops, defeating malnutrition

millions fed, food security, Mungbean, AVRDC, World Vegetable Center,

Um framework para computação aproximada sensível ao contexto

Orientador: Lucas Francisco WannerDissertação (mestrado) - Universidade Estadual de Campinas, Instituto de ComputaçãoResumo: Computação aproximada pode melhorar consideravelmente a eficiência energética em aplicações onde um resultado aproximado é suficiente. Neste trabalho, construímos bibliotecas de funções padrão que incluem uma série de funções com diferentes implementações, onde cada implementação tem um resultado de precisão diferente. Desenvolvemos ainda um serviço de sistema que monitora o contexto do computador, incluindo o consumo de energia e, de acordo com esse contexto (usando regras especificadas), altera as implementações de biblioteca usadas pelos aplicativos em tempo real. Dessa forma, o aplicativo produz resultados aproximados, mas aceitáveis, ao mesmo tempo que limita o consumo de energia. O sistema desenvolvido foi testado com aplicativos que são adequados para aproximações. Para cada uma das aplicações, medimos o consumo de energia do computador quando elas são executadas usando as implementações de maior precisão da biblioteca (as implementações mais consumidoras de energia). Conhecendo esse valor, conseguimos fixar um valor de consumo de energia de meta (uma porcentagem do valor calculado anteriormente) e desenvolvemos regras em torno desse valor, aumentando ou diminuindo a precisão das implementações usadas por um aplicativo. Os resultados mostram que, em nossos estudos de caso, podemos limitar a degradação máxima de 4% na qualidade de resultados das aplicações para obter até 62% de economia no consumo de energia. Além disso, fixamos uma meta de consumo de energia para cada aplicativo, e os aplicativos foram capazes de se adaptar em tempo de execução a essa metaAbstract: Approximate computing can considerably improve energy efficiency in applications where an approximate result is enough or by relaxing the need for fully precise operations. However, approximate computing applications typically aren't able to take advantage of the computer context dynamically. By improving the computer's access to context in real-time, approximate applications can get information about the current computer power consumption, take decisions according to previously fixed rules, and use this information to produce a more suitable approximation for the current context. We built a library that includes a series of functions with different implementations wherein each implementation has a different precision result, and a system service that monitors the computer context, including energy consumption, and according to this context (using specified rules), changes the library implementations used by applications in real-time. Applications using the library can therefore save energy when necessary, without compromising quality of results. We evaluate our context-aware approximate computing library with applications that are suitable for approximations. For each of these applications, we measured the energy consumption of the computer when they are run using the highest precision implementations of the library (that most energy intensive implementations). Knowing this value, we were able to fix an goal energy consumption value (a percentage of the value previously calculated), and using rules around this value, increase or decrease the precision of the implementations used by an application. Our results show that in our case studies we are able to trade-off at most of 4% degradation in application quality for up to 62% savings in energy consumption. Furthermore, we fix an energy consumption goal for each application, and the applications were able to adapt at run-time to this goal very closelyMestradoCiência da ComputaçãoMestre em Ciência da Computaçã

Annual Report: 2006

I submit herewith the annual report from the Agricultural and Forestry Experiment Station, School of Natural Resources and Agricultural Sciences, University of Alaska Fairbanks, for the period ending December 31, 2006. This is done in accordance with an act of Congress, approved March 2, 1887, entitled, “An act to establish agricultural experiment stations, in connection with the agricultural college established in the several states under the provisions of an act approved July 2, 1862, and under the acts supplementary thereto,” and also of the act of the Alaska Territorial Legislature, approved March 12, 1935, accepting the provisions of the act of Congress. The research reports are organized according to our strategic plan, which focuses on high-latitude soils, high-latitude agriculture, natural resources use and allocation, ecosystems management, and geographic information. These areas cross department and unit lines, linking them and unifying the research. We have also included in our financial statement information on the special grants we receive. These special grants allow us to provide research and outreach that is targeted toward economic development in Alaska. Research conducted by our graduate and undergraduate students plays an important role in these grants and the impact they make on Alaska. Carol E. Lewis, Dean and DirectorFinancial statement -- Grants -- Students -- Research reports: Geographic Information, High-Latitude Agriculture, High-Latitude Soils, Management of Ecosystems, Natural Resources Use and Allocatio

Science-Technology Division

The objectives of the Science-Technology Division shall be to draw together those members of the Special Libraries Association having an interest in the role of library and information science as applied to the recording, retrieval and dissemination of knowledge and information in all areas of science and technology, and to promote and improve the communication, dissemination and use of such knowledge for the benefit of libraries and their users

Engineering Division

The objectives of the Engineering Division are to provide an association for those having an interest in library and information science as they apply to engineering and the physical sciences and to promote the use of materials and knowledge for the benefit of libraries and other educational organizations