Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 6 of 6
Full-Text Articles in Social and Behavioral Sciences
A Distributed Broadcast Algorithm For Duty-Cycled Networks With Physical Interference Model, Dianbo Zhao, Kwan-Wu Chin
A Distributed Broadcast Algorithm For Duty-Cycled Networks With Physical Interference Model, Dianbo Zhao, Kwan-Wu Chin
Faculty of Engineering and Information Sciences - Papers: Part A
Broadcast is a fundamental operation in multi-hop wireless networks. Given a source node with a message to broadcast, the objective is to propagate the message to all nodes in an interferencefree manner while incurring minimum latency. This problem, called Minimum-Latency Broadcast Scheduling (MLBS), has been studied extensively in wireless networks whereby nodes remain on all times and has been shown to be NP-hard. However, only a few studies have addressed this problem in the context of duty-cycled wireless networks, which unfortunately, remains NP-hard. In these networks, nodes do not wake up simultaneously, and hence, not all neighbors of a transmitting …
Evaluating Distributed Generations In Utility Operation And Planning Issues Using A Novel Fusion Pso-Sfla Algorithm, Esmaeil Mahboubi-Moghaddam, Jamshid Aghaei, Kashem M. Muttaqi, Behrouz Zoghdar-Moghadam-Shahrekohne, Mohammad Rasoul Narimani
Evaluating Distributed Generations In Utility Operation And Planning Issues Using A Novel Fusion Pso-Sfla Algorithm, Esmaeil Mahboubi-Moghaddam, Jamshid Aghaei, Kashem M. Muttaqi, Behrouz Zoghdar-Moghadam-Shahrekohne, Mohammad Rasoul Narimani
Faculty of Engineering and Information Sciences - Papers: Part A
Increasing demand of electrical energy has leaded to utilization of more and more Distributed generation (DG) sources in distribution systems. Since the locations and capacities of the DG sources connected to the distribution system profoundly impact on reducing system loss and improving system reliability, so placement and sizing indication of DGs is the most substantial process in distribution systems. By adding the reliability objective to this problem, it becomes more complicated than before and it needs to be solved with an accurate algorithm. To this reason, to solve the proposed problem a new approach based on the mixture of two …
Application Of The Largest Lyapunov Exponent Algorithm For Feature Extraction In Low Speed Slew Bearing Condition Monitoring, Wahyu Caesarendra, Prabuono Buyung Kosasih, A Kiet Tieu, Craig A. S Moodie
Application Of The Largest Lyapunov Exponent Algorithm For Feature Extraction In Low Speed Slew Bearing Condition Monitoring, Wahyu Caesarendra, Prabuono Buyung Kosasih, A Kiet Tieu, Craig A. S Moodie
Faculty of Engineering and Information Sciences - Papers: Part A
This paper presents a new application of the largest Lyapunov exponent (LLE) algorithm for feature extraction method in low speed slew bearing condition monitoring. The LLE algorithm is employed to measure the degree of non-linearity of the vibration signal which is not easily monitored by existing methods. The method is able to detect changes in the condition of the bearing and demonstrates better tracking of the progressive deterioration of the bearing during the 139 measurement days than comparable methods such as the time domain feature methods based on root mean square (RMS), skewness and kurtosis extraction from the raw vibration …
The Optimisation Of The Secondary Cooling Water Distribution With Improved Genetic Algorithm In Continuous Casting Of Steels, Yu-Chun Zhai, Ying Li, Beiyue Ma, C Yan, Zhengyi Jiang
The Optimisation Of The Secondary Cooling Water Distribution With Improved Genetic Algorithm In Continuous Casting Of Steels, Yu-Chun Zhai, Ying Li, Beiyue Ma, C Yan, Zhengyi Jiang
Faculty of Engineering and Information Sciences - Papers: Part A
An improved genetic algorithm is presented for the water consumption of the secondary cooling zone based on the heat transfer model of the off-line bloom caster. This study is to control the existing cooling systems and the steel casting practises in order to produce steel with best possible quality. The fitness function of improved genetic algorithm is founded according to the metallurgical criteria. This algorithm coupled with heat transfer model and metallurgical criteria, added dynamic coding method and self-adapting mutation on the original genetic algorithm can increase water distribution adaptively and improve the process efficiency. The simulation results of T91 …
An Effective Asexual Genetic Algorithm For Solving The Job Shop Scheduling Problem, Mehrdad Amirghasemi, Reza R. Zamani
An Effective Asexual Genetic Algorithm For Solving The Job Shop Scheduling Problem, Mehrdad Amirghasemi, Reza R. Zamani
Faculty of Engineering and Information Sciences - Papers: Part A
All rights reserved. Abstract By using the notion of elite pool, this paper presents an effective asexual genetic algorithm for solving the job shop scheduling problem. Based on mutation operations, the algorithm selectively picks the solution with the highest quality from the pool and after its modification, it can replace the solution with the lowest quality with such a modified solution. The elite pool is initially filled with a number of non-delay schedules, and then, in each iteration, the best solution of the elite pool is removed and mutated in a biased fashion through running a limited tabu search procedure. …
Target Tracking Algorithm Using Angular Point Matching Combined With Compressive Tracking, Jing Luo, Tingting Dong, Chunyuan Zi, Chunbo Xiu, Huixin Tian, Jiangtao Xi
Target Tracking Algorithm Using Angular Point Matching Combined With Compressive Tracking, Jing Luo, Tingting Dong, Chunyuan Zi, Chunbo Xiu, Huixin Tian, Jiangtao Xi
Faculty of Engineering and Information Sciences - Papers: Part A
To solve the problems of tracking errors such as target missing that emerged in compressive tracking (CT) algorithm due to factors such as pose variation, illumination change, and occlusion, a novel tracking algorithm combined angular point matching with compressive tracking (APMCCT) was proposed. A sparse measurement matrix was adopted to extract the Haar-like features. The offset of the predicted target position was integrated into the angular point matching, and the new target position was calculated. Furthermore, the updating mechanism of the template was optimized. Experiments on different video sequences have shown that the proposed APMCCT performs better than CT algorithm …