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NIWO Partners Inc. and Dr. Chong Liu Drive ICT Innovations for Enhanced Daily Life

NIWO Partners Inc. and Dr. Chong Liu Drive ICT Innovations for Enhanced Daily Life
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New Jersey , United States , New York , Stevens Institute Of Technology , Chong Liu , Hermannj Helgert , Optical Data Center Network , Renewable Energy Generation , Software Development Life Cycle , Partners Inc , George Washington University , Shanghai Huixi International Limited Company , Optical Data Center Networking , International Journal On Advances In Internet , Optical Data Center Network Architecture , Network Technologies , Vehicle Social Networks , Student Research Exhibition , Hubei University , 5g Cellular Networks , Communication Technology , Stevens Institute , Electrical Engineering , Telecommunication Engineering , Best Paper Prize , Future Wirelessindoor ,

Computational complexity of texture encoding

Most standard texture compression formats use a type of algorithmic vector quantization (meaning that instead of storing an explicit codebook of possible blocks, the codebook entries are determined by an algorithm that uses the encoded block as an input). This is the case for all the BCn formats, ETC/EAC, and ASTC, but not PVRTC, where… ....

Integer Least , Integer Least Squares , Integer Linear Programming ,

"Optimal planning of municipal-scale distributed rooftop photovoltaic s" by Haoshan Ren, Zhenjun Ma et al.

Deployment planning of distributed rooftop photovoltaic (PV) systems remains a critical challenge for high-density cities, due to complex shading effects and diversified rooftop availabilities. Furthermore, such planning for large-scale systems could be extremely complex due to high dimensionality caused by the enormous number of buildings. To tackle the challenge, this study proposed an optimal planning strategy for municipal-scale distributed rooftop PV systems in high-density cities. The optimization problem was solved by integer learning programming, based on high-accuracy solar energy potentials characterization. By selecting proper rooftops for PV, the electricity generation was maximized, considering the conflicting budget and peak-export-power constraints. A Hong Kong-based case study (including 582 real building rooftops) was conducted. The effectiveness of the proposed strategy was verified by comparing with 5,000,000 Monte-Carlo-generated alternatives. The strategy more effe ....

Hong Kong Based , Building Shading Effect , Distributed Rooftop Pv , High Density City , Integer Linear Programming , Optimal Planning , Ooftop Availability ,

"Energy Efficient Virtual Network Embedding in Virtualized Wireless Sen" by Vahid Maleki Raee, Amin Ebrahimzadeh et al.

In traditional Wireless Sensor Networks (WSNs) the applications are embedded in sensor nodes, making them application-oriented, domain-specific devices. Virtualization is a promising approach to allow several applications to use the physical resources of the same deployed WSN. Given that WSN sensor nodes hold limited available energy, efficient allocation and utilization of resources become important. In this paper, we study the problem of virtual network embedding in virtualized WSNs in a static setting. Our objective is to minimize the overall energy consumption by embedding the application virtual network requests onto the physical WSN substrate network. We formulate the problem as an Integer Linear Programming (ILP), accounting for latency as the service-level agreement (SLA). We then propose our so-called E2NE heuristic to achieve a near-optimal solution in a computationally efficient manner. Our results show that embedding virtual sensor networks in a virtualized WSN leads to mor ....

Wireless Sensor Networks Wsns , Wireless Sensor Networks , Integer Linear Programming , Internet Of Things , Resource Allocation , Irtual Network Embedding , Wireless Sensor Networks ,

Focused on Fairness: Collaborative Research Leads to Two Algorithmic Approaches to Political Redistricting

Focused on Fairness: Collaborative Research Leads to Two Algorithmic Approaches to Political Redistricting ....

United States , University Of Illinois , Douglasm King , Sheldon Jacobson , Ian Ludden Sheldon Jacobson , Rahul Swamy , Ian Ludden , Institute For Computational Redistricting , Operations Research , University Of Illinois Urbana Champaign , Illinois Computer Science Phd , Enterprise Systems , Bisection Protocol , Political Redistricting , Objective Optimization , Politically Fair Districting , Scalable Multilevel Approach , Computational Redistricting , Illinois Urbana Champaign , Integer Linear Programming ,