Interconnection Networks Embeddings and Efficient Parallel Computations.

To obtain a greater performance, many processors are allowed to cooperate to solve a single problem. These processors communicate via an interconnection network or a bus. The most essential function of the underlying interconnection network is the efficient interchanging of messages between processes in different processors. Parallel machines based on the hypercube topology have gained a great respect in parallel computation because of its many attractive properties. Many versions of the hypercube have been introduced by many researchers mainly to enhance communications. The twisted hypercube is one of the most attractive versions of the hypercube. It preserves the important features of the hypercube and reduces its diameter by a factor of two. This dissertation investigates relations and transformations between various interconnection networks and the twisted hypercube and explore its efficiency in parallel computation. The capability of the twisted hypercube to simulate complete binary trees, complete quad trees, and rings is demonstrated and compared with the hypercube. Finally, the fault-tolerance of the twisted hypercube is investigated. We present optimal algorithms to simulate rings in a faulty twisted hypercube environment and compare that with the hypercube

Scenario Aggregation-Based Grid-Connected Photovoltaic Plant Design

As the global population continues to increase and living standards in developing countries continue to improve, the demand for energy is surging. This is also coupled with technological advances, which are leading to the increased electrification of transportation, manufacturing, and home appliance. Classical fossil fuel-based energy generation is unsustainable and a significant cause of air pollution. Therefore, clean, local, and sustainable sources of energy, such as solar energy, have recently been receiving more attention. In this paper, a complete design approach for grid-connected photovoltaic (PV) plants is developed. Jordan University of Science and Technology (JUST) is presented as a case study. The design is formulated as an optimization problem to find the optimal PV plant size needed to minimize the system cost and meet the design constraints. The uncertainties of solar radiation and temperature are considered using appropriate stochastic models. The optimization problem is solved using the Scenario Aggregation technique. The results show the financial and environmental feasibility of the proposed system. The optimal PV plant size which meets the annual demand of JUST is found and the financial and environmental benefits derived from executing the proposed system are emphasized

Embedding Rings into Faulty Twisted Hypercubes

The hypercube is emerging as one of the most effective and popular network architectures for large scale parallel machines. Hypercube based machines are becoming more popular due to many of their attractive features in parallel computing. An attractive version of the hypercube is the twisted hypercube. It preserves many properties of the hypercube and most importantly reduces the diameter by a factor of two. In this paper we present optimal embeddings of rings into faulty twisted hypercubes with up to 2n-3 faulty processes

An improved binary African vultures optimization approach to solve the UC problem for power systems

Unit commitment (UC) is one of the most crucial problems in electrical power systems. It concerns finding the optimal schedule for generating units such that the production cost is minimized over a given period. This paper aims to solve the unit commitment problem by proposing a binary version of a recent metaheuristic algorithm, the African Vultures Optimization Algorithm (AVOA), which is a nature-inspired metaheuristic algorithm that mimics the hunting mechanism and behavior of African vultures. This algorithm has the advantage of creating various phase shift approaches to avoid premature convergence and local optimum trapping. AVOA uses two mechanisms for the exploration phase and four for the exploitation phase that ensure the algorithm's ability to diversify and intensify. The AVOA is a continuous algorithm that cannot tackle the mixed-integer nature of the UC. In this paper, a sigmoid transfer function is used to convert the algorithm into a binary algorithm to decide the on/off status of the generating units. To further enhance the performance of the proposed algorithm, new values of the controlling parameters are proposed. Finally, the performance of the proposed algorithm is tested on IEEE 30-, 14-, and 57-bus systems. The proposed Binary AVOA (BAVOA) has superiority over the other algorithms given in the case study. In addition, results revealed that the BAVOA gives better results in the discrete search space (DSS) compared to the continuous search space (CSS). For instance, the operation cost of an IEEE 30-bus system in the DSS is 12,768 dollars which is 7% less than the CSS

A Tourism e-Guide System Using Mobile Integration

This paper presents a tourism e-guide system via mobile integration using offloading while enjoying mobility. A user can search for new mobile services available on the website to use either remotely on the server where the services resides, or locally after downloading them to his/her mobile device and work offline without a mobile connection. Jordan Tourism e-Guide System (JTeGS) aims to help the user/tourist accessing the tourism information directly from his/her smart device, anytime and anywhere using offloading. JTeGS is a web-based electronic guide that provides the user with appropriate tourism information about Jordan and guides him/her to find the best places to party, eat out, and enjoy culture events. The system architecture and the main components of the proposed services were presented and discussed. The system has been prototyped and validated in a real-time mobile internet application scenario. The system also has been evaluated through simulations in mobile network environment. Both experimental and simulation results demonstrated the effectiveness and efficiency of the proposed system