检索结果-南通市图书馆

Success Rate Queue-Based Relocation Algorithm of Sensory Network to Overcome Non-Uniformly Distributed Obstacles

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2020年第11期65卷 1181-1201页

作者： Sooyeon Park moonseong kim Woochan Lee Department of Electrical Engineering Incheon National UniversityIncheon22012Korea Department of Liberal Arts Seoul Theological UniversityBucheon14754Korea

With the recent development of big data technology that collects and analyzes various data,the technology that continuously collects and analyzes the observed data is also drawing ***,its importance is growing in data collection in areas where people cannot *** general,it is not easy to properly deploy IoT wireless devices for data collection in these areas,and it is also inappropriate to use general wheel-based mobile devices for ***,researches have been actively carried out on hopping moving models in place of wheel-based movement for the inaccessible *** majority of studies,however,so far have unrealistic assumptions that all IoT devices know the overall state of the network and the current state of each ***,various physical terrain environments,such as coarse gravel and sand,can change from time to time,and it is impossible for all devices to recognize these changes in *** this paper,with the migration success rate of IoT hopping devices being relocated,the method of estimating the varying environment is *** method can actively reflect the changing environment in real-time and is a realistic distributed environment-based relocation protocol on behalf of non-realistic,theory-based relocation ***,one of the significant contributions of this paper is to evaluate its performance using the OMNeT++simulation tool for the first time in the world to reflect actual physical environmental *** to previous studies,the proposed protocol was able to actively reflect the state of the surrounding environment,which resulted in improved migration success rates and higher energy efficiency.

关键词： Mobile IoT hopping sensor sensory data networking relocation protocol simulation

Hopping-Aware Cluster Header Capability for Sensor Relocation in Mobile IoT Networks

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Intelligent Automation & Soft Computing 2023年第5期36卷 1613-1625页

作者： moonseong kim Jaeyoung Park Young-Joon kim Woochan Lee Department of IT Convergence Software Seoul Theological UniversityBucheon14754Korea Department of Computer Engineering Hongik UniversitySeoul04066Korea Department of Electronic Engineering Gachon UniversitySeongnam13120Korea Department of Electrical Engineering Incheon National UniversityIncheon22012Korea

Mobile sensor nodes such as hopping sensors are of critical importance in data ***,the occurrence of sensing holes is unavoidable due to the energy limitation of the ***,it is evident that the relocation of mobile sensors is the most desirable method to recover the sensing *** previous research conducted by the authors so far demonstrated the most realistic hopping sensor relocation scheme,which is suitable for the distributed *** previous studies,the cluster header plays an essential role in detecting the sensing hole and requesting the neighboring cluster to recover the sensing hole that occurred in the sensor ***,the limitations of the cluster header in the previously proposed relocation protocol are not fully *** the cluster header jumps more frequently than non-header nodes,its energy con-sumption is relatively high compared to other ***,it is most likely to lead to header node failure and can lead to data loss on the *** this paper,the jumping ability and energy consumption of the cluster header are seriously *** ability to replace cluster headers in case of failure is also *** results show that the data collection time can be further increased,which demonstrates the validity of the proposed algorithms.

关键词： Hopping sensor mobileinternetofthings relocationprotocol header node numericalsimulation

Parallel Iterative FEM Solver with Initial Guess for Frequency Domain Electromagnetic Analysis

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Intelligent Automation & Soft Computing 2023年第5期36卷 1585-1602页

作者： Woochan Lee Woobin Park Jaeyoung Park Young-Joon kim moonseong kim Department of Electrical Engineering Incheon National UniversityIncheon22012Korea Department of Computer Engineering Hongik UniversitySeoul04066Korea Department of Electronic Engineering Gachon UniversitySeongnam13120Korea Department of IT Convergence Software Seoul Theological UniversityBucheon14754Korea

The finite element method is a key player in computational electromag-netics for designing RF(Radio Frequency)components such as *** frequency-domain analysis is fundamental to identify the characteristics of the *** the conventional frequency-domain electromagnetic analysis using FEM(Finite Element Method),the system matrix is complex-numbered as well as indeﬁ*** iterative solvers can be faster than the direct solver when the solver convergence is guaranteed and done in a few ***,such complex-numbered and indeﬁnite systems are hard to exploit the merit of the iterative *** is also hard to beneﬁt from matrix factorization techniques due to varying system matrix parts according to ***,it is hard to adopt conventional iterative solvers even though the system matrix is sparse.A new parallel iterative FEM solver for frequency domain analysis is implemented for inhomogeneous waveguide structures in this *** this implementation,the previous solution of the iterative solver of Matlab(Matrix Laboratory)employ-ing the preconditioner is used for the initial guess for the next step’s solution *** overlapped parallel stage using Matlab’s Parallel Computing Toolbox is also proposed to alleviate the cold starting,which ruins the convergence of early steps in each parallel *** experiments based on waveguide structures have demonstrated the accuracy and efﬁciency of the proposed scheme.

关键词： Computational electromagnetics numerical simulation ﬁnite element method parallel processing iterative solvers

ROAD+:Route Optimization with Additional Destination-Information and Its Mobility Management in Mobile Networks

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Computer Science & Technology 2010年第2期25卷 298-312页

作者： moonseong kim Matt W. Mutka Member, ACM Senior Member Jeonghoon Park Hyunseung Choo Department of Computer Science and Engineering Michigan State University East Lansing MI 48824 U.S.A. Digital Media and Communication Business Samsung Electronics Korea School of Information and Communication Engineering Sungkyunkwan University 440-746 Korea

In the NEtwork MObility （NEMO） environment, mobile networks can form a nested structure. In nested mobile networks that use the NEMO Basic Support （NBS） protocol, pinball routing problems occur because packets are routed to all the home agents of the mobile routers using nested tunneling. In addition, the nodes in the same mobile networks can communicate with each other regardless of Internet connectivity. However, the nodes in some mobile networks that are based on NBS cannot communicate when the network is disconnected from the Internet. In this paper, we propose a route optimization scheme to solve these problems. We introduce a new IPv6 routing header named ＂destination-information header＂（DH）, which uses DH instead of routing header type 2 to optimize the route in the nested mobile network. The proposed scheme shows at least 30% better performance than ROTIO and similar performance improvement as DBU in inter-route optimization. With respect to intra-route optimization, the proposed scheme always uses the optimal routing path. In addition, the handover mechanism in ROAD＋ outperforms existing schemes and is less sensitive to network size than other existing schemes.

关键词： NEtwork MObility (NEMO) route optimization (RO) NEMO basic support (NBS) pinball routing problem mobile network nested mobile network

Predicting the impacts of climate change on nonpoint source pollutant loads from agricultural small watershed using artificial neural network

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Journal of Environmental Sciences 2010年第6期22卷 840-845页

作者： Eunjeong Lee Chounghyun Seong Hakkwan kim Seungwoo Park moonseong Kang Department of Landscape Architecture and Rural Systems Engineering Research Institute for Agricultural & Life Sciences Seoul National University

This study described the development and validation of an artificial neural network （ANN） for the purpose of analyzing the effects of climate change on nonpoint source （NPS） pollutant loads from agricultural small watershed. The runoff discharge was estimated using ANN algorithm. The performance of ANN model was examined using observed data from study watershed. The simulation results agreed well with observed values during calibration and validation periods. NPS pollutant loads were calculated from load-discharge relationship driven by long-term monitoring data. LARS-WG （Long Ashton Research Station-Weather Generator） model was used to generate rainfall data. The calibrated ANN model and load-discharge relationship with the generated data from LARS-WG were applied to analyze the effects of climate change on NPS pollutant loads from the agricultural small watershed. The results showed that the ANN model provided valuable approach in estimating future runoff discharge, and the NPS pollutant loads.

关键词： artificial neural network climate change LARS-WG nonpoint source pollution runoff