ದಾಳಿಂಬೆ ಸಂಶೋಧನೆ | Pomegrante Research

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Code for Fire Protection of Historic Structures

July 31, 2023
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Rodeo

July 31, 2023
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American Federation for Children

July 31, 2023
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Motif and Hypergraph Correlation Clustering

July 30, 2023
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Partial map of the Internet based on the January 15, 2005 data found on opte.org.

 

Motif and Hypergraph Correlation Clustering

Pan Li – Olgica Milenkovic

University of Illinois at Urbana–Champaign

Gregory J. Pule

Auburn University

 

Abstract:  Motivated by applications in social and biological network analysis we introduce a new form of agnostic clustering termed motif correlation clustering, which aims to minimize the cost of clustering errors associated with both edges and higher-order network structures. The problem may be succinctly described as follows:

Given a complete graph G , partition the vertices of the graph so that certain predetermined “important” subgraphs mostly lie within the same cluster, while “less relevant” subgraphs are allowed to lie across clusters. Our contributions are as follows: We first introduce several variants of motif correlation clustering and then show that these clustering problems are NP-hard.

We then proceed to describe polynomial-time clustering algorithms that provide constant approximation guarantees for the problems at hand. Despite following the frequently used LP relaxation and rounding procedure, the algorithms involve a sophisticated and carefully designed neighborhood growing step that combines information about both edges and motifs. We conclude with several examples illustrating the performance of the developed algorithms on synthetic and real networks.

CLICK HERE for complete paper

Design Optimisation of Wind- PV-Microhydro-Multi-Energy Storage System

July 29, 2023
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Design Optimisation of Wind- PV-Microhydro-Multi-Energy Storage System for a Net-zero: Campus Case of University of Aberdeen Old Aberdeen Campus

Aerk Dimri, et. al

School of Engineering University of Aberdeen

Abstract:  Combined Heat and Power (CHP) units supply around two-thirds of the electricity that is consumed in the University of Aberdeen, s Old Aberdeen campus. As the CHP unit nears the end of its designed life., this paper explores the most cost-effective Hybrid Renewable Energy System (HRES) configuration that can replace the CHP and achieve the university , s emission reduction target. This paper first analyses the current CHP and grid energy system and presents the electricity demand and the equivalent carbon emissions of the Old Aberdeen campus. Then the potential for renewable electricity generation is explored which includes an assessment of the wind energy resources, solar irradiance, potential locations for solar panel installation on the University property, and the potential of micro-hydro installations on the river Don. The electricity demand and the renewable energy data are then used to find the most cost-effective HRES configurations for multiple energy scenarios using MOHRES software. The most cost-effective HRES solution in the context of the Old Aberdeen campus achieves net-zero electricity at an investment cost of 7.1 M£ which is paid back in 25 years with an overall energy cost of 0.18 £/kWh. This cost is 14.3% lower than the current cost of electricity supplied by the grid. The annual cost of carbon offsets that need to be paid between 2040 to 2045 to balance emissions from grid electricity using the recommended solution is projected to be around £35.,000.

IEEE Education and Healthcare Facilities Committee

 

What to Eat for Breakfast | Jia Yuan Canteen

July 28, 2023
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中文版

July 28, 2023
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