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5R generation 1

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Recover 1

Recycle 1

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evaluation of hypothesis 1

high flux electronics 1

induction logic of Carnap 1

induction logic of L. J. Cohen 1

knowledge discovery based on knowledge base 1

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System-level Pareto frontiers for on-chip thermoelectric coolers

FISH, Zhi YANG, Nicholas BALDASARO, Philip BARLETTA, Avram BAR-COHEN, Bao YANG

Frontiers in Energy 2018, Volume 12, Issue 1,   Pages 109-120 doi: 10.1007/s11708-018-0540-8

Abstract: The continuous rise in heat dissipation of integrated circuits necessitates advanced thermal solutions to ensure system reliability and efficiency. Thermoelectric coolers are among the most promising techniques for dealing with localized on-chip hot spots. This study focuses on establishing a holistic optimization methodology for such thermoelectric coolers, in which a thermoelectric element’s thickness and the electrical current are optimized to minimize source temperature with respect to ambient, when the thermal and electrical parasitic effects are considered. It is found that when element thickness and electrical current are optimized for a given system architecture, a “heat flux vs. temperature difference” Pareto frontier curve is obtained, indicating that there is an optimum thickness and a corresponding optimum current that maximize the achievable temperature reduction while removing a particular heat flux. This methodology also provides the possible system level Δ ’s that can be achieved for a range of heat fluxes, defining the upper limits of thermoelectric cooling for that architecture. In this study, use was made of an extensive analytical model, which was verified using commercially available finite element analysis software. Through the optimization process, 3 pairs of master curves were generated, which were then used to compose the Pareto frontier for any given system architecture. Finally, a case study was performed to provide an in-depth demonstration of the optimization procedure for an example application.

Keywords: thermoelectric cooling     thermal management     optimization     high flux electronics    

Novel perspective for urban water resource management:

Hongwu Wang, Zhiqiang Zhang, Jian Zhang, Hongbin Chen, Xuejun Bi, Xiaohu Dai, Siqing Xia, Lisa Alvarez-Cohen

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 1, doi: 10.1007/s11783-020-1308-z

Abstract: Abstract • 5R (Recover, Reduce, Recycle, Resource and Reuse) approaches to manage urban water. • 5R harvests storm water, gray water and black water in several forms. • 5R offers promise for moving solutions for urban water scarcity in practice. Demand for water is expanding with increases in population, particularly in urban areas in developing countries. Additionally, urban water system needs a novel perspective for upgradation with urbanization. This perspective presents a novel 5R approach for managing urban water resources: Recover (storm water), Reduce (toilet flushing water), Recycle (gray water), Resource (black water), and Reuse (advanced-treated wastewater). The 5R generation incorporates the latest ideas for harvesting storm water, gray water, and black water in its several forms. This paper has briefly demonstrated each R of 5R generation for water treatment and reuse. China has the chance to upgrade its urban water systems according to 5R principles. Already, a demonstration project of 5R generation has been installed in Qingdao International Horticultural Exposition, and Dalian International Convention Center (China) has applied 5R, achieving over 70% water saving. The 5R offers promise for moving solutions for urban water scarcity from “hoped for in the future” to “realistic today”.

Keywords: 5R generation     Recover     Reduce     Recycle     Resource     Reuse    

Impact of Low-Impact Development Technologies from an Ecological Perspective in Different Residential Zones of the City of Atlanta, Georgia Article

Cohen, Marc J. Weissburg, Bert Bras

Engineering 2018, Volume 4, Issue 2,   Pages 194-199 doi: 10.1016/j.eng.2018.03.005

Abstract:

Low-impact development (LID) technologies have a great potential to reduce water usage and stormwater runoff and are therefore seen as sustainable improvements that can be made to traditional water infrastructure. These technologies include bioretention areas, rainwater capturing, and xeriscaping, all of which can be used in residential zones. Within the City of Atlanta, residential water usage accounts for 53% of the total water consumption; therefore, residential zones offer significant impact potential for the implementation of LID. This study analyzes the use of LID strategies within the different residential zones of the City of Atlanta from an ecological perspective by drawing analogies to natural ecosystems. The analysis shows that these technologies, especially with the addition of a graywater system, work to improve the conventional residential water network based upon these ecological metrics. The higher metric values suggest greater parity with healthy, natural ecosystems.

Keywords: Low-impact development     Ecological network analysis     Residential water consumption    

Research on the Structure Model and Mining Algorithm for Knowledge Discovery Based on Knowledge Base (KDK)

Yang Bingru,Shen Jiangtao,Chen Hongjie

Strategic Study of CAE 2003, Volume 5, Issue 6,   Pages 49-54

Abstract:

Knowledge discovery in knowledge base (KDK) is a brand-new task. Its success will directly act on the construction of large knowledge base, and, at present, it is important to the solving of the bottleneck of machine study—discovering knowledge. The main work of this paper is: The inductive structure of KDK based on the facts in knowledge base, and its algorithm and experimental verification; The inductive structure algorithm of KDK for the rules in knowledge base and its experimental verification.

Keywords: Cohen     evaluation of hypothesis    

Title Author Date Type Operation

System-level Pareto frontiers for on-chip thermoelectric coolers

FISH, Zhi YANG, Nicholas BALDASARO, Philip BARLETTA, Avram BAR-COHEN, Bao YANG

Journal Article

Novel perspective for urban water resource management:

Hongwu Wang, Zhiqiang Zhang, Jian Zhang, Hongbin Chen, Xuejun Bi, Xiaohu Dai, Siqing Xia, Lisa Alvarez-Cohen

Journal Article

Impact of Low-Impact Development Technologies from an Ecological Perspective in Different Residential Zones of the City of Atlanta, Georgia

Cohen, Marc J. Weissburg, Bert Bras

Journal Article

Research on the Structure Model and Mining Algorithm for Knowledge Discovery Based on Knowledge Base (KDK)

Yang Bingru,Shen Jiangtao,Chen Hongjie

Journal Article