Diagnosis of Demand Response Participants: Detection of Defaulting Participants by Sparse Reconstruction

extremal region detection guided by maxima of gradient magnitude

a problem of computer vision applications is to detect regions of interest under dif- ferent imaging conditions. the state-of-the-art maximally stable extremal regions (mser) detects affine covariant regions by applying all possible thresholds on the input image, and through three main steps including: 1) making a component tree of extremal regions’ evolution (enumeration), 2) obtaining region ...

Compensating Demand Response Participants Via Their Shapley Values

Designing fair compensation mechanisms for demand response (DR) is challenging. This paper models the problem in a game theoretic setting and designs a payment distribution mechanism based on the Shapley Value. As exact computation of the Shapley Value is in general intractable, we propose estimating it using a reinforcement learning algorithm that approximates optimal stratified sampling. We a...

Perceptions of Secondary School Students towards Natural Resources Management: Case Study of Participants in FoF and Non-Participants

Integrating natural resources management in the secondary school curriculum in Kenya has received a lot of talk without adequate practical activities. The Farmers of the Future Programme under the World Agroforestry Centre, formally the International Centre for Research in Agroforestry (ICRAF), initiated a practical approach to integration of natural resources management in the secondary school...

the comparison of quality of life between participants and non-participants in sport for all

the purpose of this study was to compare the quality of life in participants and non-participants who took part in sport for all in ardabill city. 226 active subjects (72 women and 152 men) in sport for all stations and 539 non-participants (208 women and 331 men) were selected as the sample of the study. the quality of life (qlq) questionnaire included 72 questions which measured 6 factors of ...

Participants