Human Rights, Local Plights: The Implications of Rights Discourses in the Struggle over Arab-Palestinian Bedouin Land in Israel

A widely diffused, engaged approach understands human rights as an opportunity to enhance moral progress. Less visible has a critical realm of research that reveals the often ambiguous social life of human rights discourses. This article draws on a specific case study from the intricate issue of how activism for Arab-Palestinian Bedouin citizens in Southern Israel engages with the global human rights discourse. It follows the implications of mobilization, focusing on events related to a campaign against house demolitions in informal,unrecognised settlements. The case shows how human rights discourses tend to silence the agency of political subjects, victimizing and patronizing those who seek emancipation. The ethnographic insights emphasize the role of a range of carnivalesque and spontaneous acts ofresistance, which subvert the patronizing implications of the human rights language.

Integrated Optimal Power Flow for Distribution Networks in Local and Urban Scales

This paper develops an integrated optimal power flow (OPF) tool for distribution networks in two spatial scales. In the local scale, the distribution network, the natural gas network, and the heat system are coordinated as a microgrid. In the urban scale, the impact of natural gas network is considered as constraints for the distribution network operation. The proposed approach incorporates unbalance three-phase electrical systems, natural gas systems, and combined cooling, heating, and power systems. The interactions among the above three energy systems are described by energy hub model combined with components capacity constraints. In order to efficiently accommodate the nonlinear constraint optimization problem, particle swarm optimization algorithm is employed to set the control variables in the OPF problem. Numerical studies indicate that by using the OPF method, the distribution network can be economically operated. Also, the tie-line power can be effectively managed.

A novel hybrid swarm based approach for curriculum based course timetabling problem

This work applies a hybrid approach in solving the university curriculum-based course timetabling problem as presented as part of the 2nd International Timetabling Competition 2007 (ITC2007). The core of the hybrid approach is based on an artificial bee colony algorithm. Past methods have applied artificial bee colony algorithms to university timetabling problems with high degrees of success. Nevertheless, there exist inefficiencies in the associated search abilities in term of exploration and exploitation. To improve the search abilities, this work introduces a hybrid approach entitled nelder-mead great deluge artificial bee colony algorithm (NMGD-ABC) where it combined additional positive elements of particle swarm optimization and great deluge algorithm. In addition, nelder-mead local search is incorporated into the great deluge algorithm to further enhance the performance of the resulting method. The proposed method is tested on curriculum-based course timetabling as presented in the ITC2007. Experimental results reveal that the proposed method is capable of producing competitive results as compared with the other approaches described in literature