Abstract As the technology of Internet Things (IoT) and mobile edge computing (MEC) develops, more tasks are offloaded to servers be computed. The offloading strategy performs an essential role in progress computation offloading. In a general scenario, should consider enough factors, made as quickly possible. While most existing model only considers one or two we investigated considering three ...

Kuang-Hua Hu 1, Fu-Hsiang Chen 2,* and Gwo-Hshiung Tzeng 3 1 Department of Accounting, Nanfang College of Sun Yat-sen University, Wenquan Town, Conghua, Guangzhou 510970, China; [email protected] 2 Department and Graduate School of Accounting, Chinese Culture University, No. 55, Hwa Kang Rd., Yang Ming Shan, Taipei 11114, Taiwan 3 Graduate Institute of Urban Planning, National Taipei Universit...

Efficient fault diagnosis of power transformer can effectively ensure the safe and stable operation system. Considering that effect traditional Random Forest (RF) is seriously affected by initial parameters, this paper proposes a RF algorithm based on Grey Wolf Optimization (GWO-RF) to improve accuracy identification. The uses GWO optimize total number decision trees depth maximum tree, balanci...

Digital Learning Playground: supporting authentic learning experiences in the classroom Gwo-Dong Chen a , Nurkhamid a b , Chin-Yeh Wang c , Su-Hang Yang d , Wei-Yuan Lu e & Chih-Kai Chang f a Department of Computer Science and Information Engineering, National Central University, Jhongli City, Taiwan b Faculty of Engineering, Yogyakarta State University, Yogyakarta, Indonesia c Research Center ...

Early diagnosis of autism is extremely beneficial for patients. Traditional approaches have been unable to diagnose in a fast and accurate way; rather, there are multiple factors that can be related identifying the disorder. The gene expression (GE) individuals may one these factors, addition personal behavioral characteristics (PBC). Machine learning (ML) based on PBC GE data analytics emphasi...

This paper addresses a problem of a continuous path planning of a redundant manipulator where an end-effector needs to follow a desired path. Based on a geometrical analysis, feasible postures of a self-motion are mapped into an interval so that there will be an angle domain boundary and a redundancy resolution to track the desired path lies within this boundary. To choose a best solution among...

The use of meta-heuristic optimization methods have become quite generic in the past two decades. This paper provides a theoretical investigation to find optimum design parameters of the Stirling heat engines using a recently presented nature-inspired method namely the gray wolf optimization (GWO). This algorithm is utilized for the maximization of the output power/thermal efficiency as well as...

Efficient resource use is a very important issue in wireless sensor networks and decentralized IoT-based systems. In this context, smooth pathfinding mechanism can achieve goal. However, since problem Non-deterministic Polynomial-time (NP-hard) type, metaheuristic algorithms be used. This article proposes two new energy-efficient routing methods based on Incremental Grey Wolf Optimization (I-GW...

The nitinol-60 shape memory alloy has been rated as the most widely utilized material in real-life industrial applications, including biomedical appliances, coupling and sealing elements, activators, among others. However, less is known about its optimization characteristics while taking advantage to choose best parameter a surface integrity analysis using wire EDM process. In this research, au...

Photovoltaic (PV) systems suffer from partial shade and nonuniform irradiance conditions. Meanwhile, each PV module has a bypass shunt diode (BSD) to prevent hotspots. BSD also causes series of peak in the power-voltage characteristics array, trapping traditional maximum Power Point Tracking (MPPT) methods local peaks. This study aims address these challenges by combining cuckoo search (CS), gr...