检索结果-内蒙古大学图书馆

9th EAI International Conference on Bio-Inspired Information and Communications Technologies, BICT 2015

作者： Choi, Hyun-Ho Lee, Jung-Ryun Roh, Bongsoo Hoh, Mijeong Choi, HyungSeok Dept. of Electrical Electronic and Control Engineering Hankyong National University Anseong17579 Korea Republic of School of Electrical Engineering Chung-Ang University Seoul06974 Korea Republic of Agency for Defense Development Daejeon34188 Korea Republic of

Bio-inspired routing protocols use the principle of swarm intelligence, which nds the optimal path to the destination in a distributed and autonomous way in dynamically changing environments;therefore, they can maximize the routing performance, reduce the control overhead, and re- cover a path failure quickly according to the change in the network topology. In this paper, we propose a bio-inspired routing protocol for mobile ad hoc networks. The proposed protocol uses a technique of overhearing for obtaining routing information without additional overhead. Through over- hearing, a pheromone is diffused around the shortest path between the source and the destination. On the basis of this diffused pheromone, a probabilistic path exploration is executed and the useful alternative routes between the source and the destination are collected. Therefore, the proposed routing protocol can gather up-To-date effective routing in- formation while reducing the control overhead. The simulation results show that the proposed routing protocol outper- forms the typical ad hoc on-demand distance vector (AODV) and AntHocNet protocols in terms of the delivery ratio and the end-To-end delay and significantly decreases the routing overhead against AntHocNet. © 2016 ICST.

关键词： Routing protocols

来源：评论

学校读者我要写书评

暂无评论

Grid-based output control for wind farm using PSO

引用

Transactions of the Korean Institute of Electrical Engineers 2014年第8期63卷 1092-1097页

作者： Moon, I.L. Kwon Joo, Young Hoon Dept. of Control and Robot Engineering Kunsan National University Korea Republic of

In this paper, we propose the grid-based output control method for wind farm. To do this, we propose the output control method using the PSO(Particle Swarm Optimization) algorithm. Secondly, we propose the method for detecting the harmonics using STFT(Short-Time Fourier Transform) algorithm. And last, we propose the method for compensating the harmonics using neural network. Finally, we show the effectiveness and feasibility of the proposed method though some simulations.

关键词： Particle swarm optimization (PSO)

来源：评论

学校读者我要写书评

暂无评论

Localization using Fuzzy-Extended Kalman Filter

引用

Transactions of the Korean Institute of Electrical Engineers 2014年第2期63卷 277-283页

作者： Park, Sung-Yong Park, Jong-Hun Wang, Hai-Yun No, Jin-Hong Huh, Uk-Youl Dept. of Electronic Engineering INHA Univerity Korea Republic of Dept. of Robot Engineering INHA Univerity Korea Republic of

This paper proposes robot localization using Fuzzy-Extended Kalman Filter algorithm of the mobile robots equipped with least sensors. In order to improve the accuracy of the localization, we usually add the sensors or equipment. However, it increases the simulation time and expenses. This paper solves this problem using only the odometer and ultrasonic sensors to get the localization with the Fuzzy-Extended Kalman Filter algorithm method. By inputting the robot's angular velocity, sensor data variation, and residual errors into the fuzzy algorithm, we get the sensor weight factor to decide the sensor's importance. The performance of the designed method shows by the simulation and Pioneer 3-DX mobile robot test in the indoor environment.

关键词： Mobile robots

来源：评论

学校读者我要写书评

暂无评论

An Energy-Efficient Cooperative Strategy for Secondary Users in Cognitive Radio Networks

An Energy-Efficient Cooperative Strategy for Secondary Users...

引用

IEEE Global Communications Conference

作者： Jianqing Liu Hao Yue Haichuan Ding Pengbo Si Yuguang Fang Dept. of Electrical and Computer Engineering University of Florida College of Electronic Information and Control Engineering Beijing University of Technology

ISBN: (纸本)9781479959532

In cognitive radio networks, primary users (PUs) can leverage secondary users (SUs) as cooperative relays to increase their transmission rates, and SUs will in turn obtain more spectrum access opportunities. While most existing works assume that SUs are passively selected by PUs regardless of SUs' willingness, in this paper, we propose a cooperative strategy for SUs to actively decide whether to cooperate or not. Basically, due to PUs' time-varying traffic demands, it is essential for SUs to firstly observe the channels and then select a specific PU to cooperate with in order to save the energy. In our paper, this decision related problem is formulated based on optimal stopping theory where SUs observe PUs in time sequence and then make decisions whether to stop observation and cooperate right away or wait till next time slot to repeat the same process. We address this problem by using backward induction and derive the energy-efficient strategy for SUs. To validate the feasibility of our proposed scheme, extensive simulations are conducted to show the impact of PUs' traffic demands on SUs' decisions. The results also reveal that the proposed optimal rule outperforms the greedy selection strategy and is thus more energy-efficient to be applied to the cooperative cognitive radio networks.

关键词： Sus Cognitive radio Energy efficiency Radio networks Hematocrit Pus

来源：评论

学校读者我要写书评

暂无评论

Phase current reconstruction method of 2-phase induction motor using leg-shunt resistors

引用

Transactions of the Korean Institute of Electrical Engineers 2015年第8期64卷 1186-1192页

作者： Kim, Dong-Ki Yoon, Duck-Yong Dept. of Electrical Electronic and Control Engineering Kongju National University Korea Republic of Engineer in Discrete Automation and Motion of ABB Korea Republic of

This paper proposes an economical method that the phase currents can be measured and reconstructed by means of the leg-shunt resistors in the 3-leg 2-phase vector-controlled inverter for 2-phase induction motor. In general, the phase currents of 2-phase induction motor have been measured using two Hall current sensors. However, because Hall current sensors are expensive, economically disadvantageous to apply in low power applications. The proposed method is verified by computer simulations and experiments to show the good performance of the vector control. Copyright © The Korean Institute of Electrical Engineers.

关键词： Resistors

来源：评论

学校读者我要写书评

暂无评论

Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge

arXiv

引用

arXiv 2018年

作者： Bakas, Spyridon Reyes, Mauricio Jakab, Andras Bauer, Stefan Rempfler, Markus Crimi, Alessandro Shinohara, Russell Takeshi Berger, Christoph Ha, Sung Min Rozycki, Martin Prastawa, Marcel Alberts, Esther Lipkova, Jana Freymann, John Kirby, Justin Bilello, Michel Fathallah-Shaykh, Hassan M. Wiest, Roland Kirschke, Jan Wiestler, Benedikt Colen, Rivka Kotrotsou, Aikaterini Lamontagne, Pamela Marcus, Daniel Milchenko, Mikhail Nazeri, Arash Weber, Marc-Andr Mahajan, Abhishek Baid, Ujjwal Gerstner, Elizabeth Kwon, Dongjin Acharya, Gagan Agarwal, Manu Alam, Mahbubul Albiol, Alberto Albiol, Antonio Albiol, Francisco J. Alex, Varghese Allinson, Nigel Amorim, Pedro H.A. Amrutkar, Abhijit Anand, Ganesh Andermatt, Simon Arbel, Tal Arbelaez, Pablo Avery, Aaron Azmat, Muneeza Pranjal, B. Bai, Wenjia Banerjee, Subhashis Barth, Bill Batchelder, Thomas Batmanghelich, Kayhan Battistella, Enzo Beers, Andrew Belyaev, Mikhail Bendszus, Martin Benson, Eze Bernal, Jose Bharath, Halandur Nagaraja Biros, George Bisdas, Sotirios Brown, James Cabezas, Mariano Cao, Shilei Cardoso, Jorge M. Carver, Eric N. Casamitjana, Adri Castillo, Laura Silvana Cat, Marcel Cattin, Philippe Cérigues, Albert Chagas, Vinicius S. Chandra, Siddhartha Chang, Yi-Ju Chang, Shiyu Chang, Ken Chazalon, Joseph Chen, Shengcong Chen, Wei Chen, Jefferson W. Chen, Zhaolin Cheng, Kun Choudhury, Ahana Roy Chylla, Roger Clrigues, Albert Colleman, Steven Colmeiro, Ramiro German Rodriguez Combalia, Marc Costa, Anthony Cui, Xiaomeng Dai, Zhenzhen Dai, Lutao Daza, Laura Alexandra Deutsch, Eric Ding, Changxing Dong, Chao Dong, Shidu Dudzik, Wojciech Eaton-Rosen, Zach Egan, Gary Escudero, Guilherme Estienne, Tho Everson, Richard Fabrizio, Jonathan Fan, Yong Fang, Longwei Feng, Xue Ferrante, Enzo Fidon, Lucas Fischer, Martin French, Andrew P. Fridman, Naomi Fu, Huan Fuentes, David Gao, Yaozong Gates, Evan Gering, David Gholami, Amir Gierke, Willi Glocker, Ben Gong, Mingming Gonzlez-Vill, Sandra Grosges, T. Guan, Yuanfang Guo, Sheng Gupta, Sudeep Han, Woo-Sup Han, Il Song Harmuth, Ko Center for Biomedical Image Computing and Analytics University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Institute for Surgical Technology and Biomechanics University of Bern Bern Switzerland Center for MR-Research University Children's Hospital Zurich Zurich Switzerland Support Centre for Advanced Neuroimaging Inselspital Institute for Diagnostic and Interventional Neuroradiology Bern University Hospital Bern Switzerland University Hospital of Zurich Zurich Switzerland Center for Clinical Epidemiology and Biostatistics University of Pennsylvania Philadelphia United States Image-Based Biomedical Modeling Group Technical University of Munich Munich Germany Icahn School of Medicine Mount Sinai Health System New YorkNY United States Leidos Biomedical Research Inc. Frederick National Laboratory for Cancer Research FrederickMD21701 United States Cancer Imaging Program National Cancer Institute National Institutes of Health BethesdaMD20814 United States Department of Neurology University of Alabama at Birmingham BirminghamAL United States Department of Diagnostic Radiology University of Texas MD Anderson Cancer Center HoustonTX United States Department of Psychology Washington University St. LouisMO United States Neuroimaging Informatics and Analysis Center Washington University St. LouisMO United States Department of Radiology Washington University St. LouisMO United States Institute of Diagnostic and Interventional Radiology Pediatric Radiology and Neuroradiology University Medical Center Rostock Ernst-Heydemann-Str. 6 Rostock18057 Germany Tata Memorial Centre Homi Bhabha National Institute Mumbai India Shri Guru Gobind Singhji Institute of Engineering and Technology Nanded India NVIDIA Santa Clara

Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invaded tissue, necrotic core, active and non-enhancing core. This intrinsic heterogeneity is also portrayed in their radio-phenotype, as their sub-regions are depicted by varying intensity profiles disseminated across multi-parametric magnetic resonance imaging (mpMRI) scans, reflecting varying biological properties. Their heterogeneous shape, extent, and location are some of the factors that make these tumors difficult to resect, and in some cases inoperable. The amount of resected tumor is a factor also considered in longitudinal scans, when evaluating the apparent tumor for potential diagnosis of progression. Furthermore, there is mounting evidence that accurate segmentation of the various tumor sub-regions can offer the basis for quantitative image analysis towards prediction of patient overall survival. This study assesses the state-of-the-art machine learning (ML) methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018. Specifically, we focus on i) evaluating segmentations of the various glioma sub-regions in pre-operative mpMRI scans, ii) assessing potential tumor progression by virtue of longitudinal growth of tumor sub-regions, beyond use of the RECIST/RANO criteria, and iii) predicting the overall survival from pre-operative mpMRI scans of patients that underwent gross total resection. Finally, we investigate the challenge of identifying the best ML algorithms for each of these tasks, considering that apart from being diverse on each instance of the challenge, the multi-institutional mpMRI BraTS dataset has also been a continuously evolving/growing dataset. Copyright © 2018, The Authors. All rights reserved.

关键词： Tumors

来源：评论

学校读者我要写书评

暂无评论

An improved DTC controller for DFIG-based wind generation system

An improved DTC controller for DFIG-based wind generation sy...

引用

International Conference on Power electronics and Motion control (IPEMC)

作者： Yungui Li Lijun Hang Guojie Li Yajuan Guo Yunfeng Zou Jinming Chen Jun Li Jian Zhuang Siwei Li Ministry of Education Key Laboratory of Control of Power Transmission and Conversion (Shanghai Jiao Tong University) Dept. of Electrical and Electronic Engineering Shanghai Jiao Tong University Shanghai China State Grid Jiangsu Electric Power Company Electric Research Institute Zhejiang Jiaxing Electricity Bureau Jiaxing China State Grid Tianjin Electric Power Corporation Beijing China Beijing Guodiantong Network Technology Co. Ltd Beijing China

ISBN: (纸本)9781509012114

This paper presents an improved direct torque control (DTC) method for the wind power generation system based on the doubly-fed induction generator (DFIG). The basic principle of direct torque control based on DFIG system is analyzed. An improved strategy is presented by increasing the division accuracy of rotor flux position and the number of basic voltage vectors. The proposed method improves the performances of the system and reduces the rotor and torque ripples. By comparing the simulation results of the conventional and the improved DTC method applied in DFIG-based wind power generation system, the effectiveness of the proposed control method is validated.

关键词： Rotors Torque Wind power generation Hysteresis Torque control Power electronics Conferences

来源：评论

学校读者我要写书评

暂无评论

Optimal charging strategy for plug-in electric taxi with time-varying profits

Optimal charging strategy for plug-in electric taxi with tim...

引用

IEEE General Meeting Power& Energy Society

作者： Zaiyue Yang Lihao Sun Min Ke Zhiguo Shi Jiming Chen Zhejiang University Hangzhou Zhejiang CN Dept. of Control Zhejiang Univ. Dept of Mathematics Zhejiang Univ. Dept. of Information Science and Electronic Engineering Zhejiang Univ.

ISBN: (纸本)9781467380416

This paper studies the optimal charging problem for future plug-in electric taxi (PET) with time-varying profits, i.e., time-varying service incomes and charging costs. Aiming at maximizing the average profit of a PET in long term under the constraint of state of charge (SoC) dynamics of PET battery, this problem is formulated as a constrained binary programming problem in infinite time horizon. The main contribution of this paper consists of three parts. First, because the original infinite binary programming problem cannot be directly solved, it is divided into a series of periodic subproblems. Each of the subproblems is in finite time horizon and much easier to solve, which is also proven rigorously to be equivalent to the original one. Second, an efficient and optimal algorithm is proposed to solve the finite time constrained binary programming subproblem, which also yields the optimal initial SoC of PET. Third, a transient control strategy is proposed to transfer the any initial SoC to the optimal one, if they are not identical. The performance of the proposed method is verified by numerical results.

关键词： Positron emission tomography System-on-chip Programming Public transportation Information science Dynamic programming

来源：评论

学校读者我要写书评

暂无评论

A landmark based localization system using a kinect sensor

引用

Transactions of the Korean Institute of Electrical Engineers 2014年第1期63卷 99-107页

作者： Park, Kwiwoo Chae, JeongGeun Moon, Sang-Ho Park, Chansik Dept. of Control and Robot Engineering Chungbuk National University Korea Republic of Division of Computer Technology Yeungnam College of Scienceand Technology Korea Republic of

In this paper, a landmark based localization system using a Kinect sensor is proposed and evaluated with the implemented system for precise and autonomous navigation of low cost robots. The proposed localization method finds the positions of landmark on the image plane and the dept. value using color and dept. images. The coordinates transforms are defined using the dept. value. Using coordinate transformation, the position in the image plane is transformed to the position in the body frame. The ranges between the landmarks and the Kinect sensor are the norm of the landmark positions in body frame. The Kinect sensor position is computed using the tri-lateral whose inputs are the ranges and the known landmark positions. In addition, a new matching method using the pin hole model is proposed to reduce the mismatch between dept. and color images. Furthermore, a height error compensation method using the relationship between the body frame and real world coordinates is proposed to reduce the effect of wrong leveling. The error analysis are also given to find out the effect of focal length, principal point and dept. value to the range. The experiments using 2D bar code with the implemented system show that the position with less than 3cm error is obtained in enclosed space(3,500mm *3,000mm*2,500m).

关键词： Error compensation

来源：评论

学校读者我要写书评

暂无评论

Decentralised Intermittent control

Decentralised Intermittent Control

引用

Conference on control Applications

作者： Peter Gawthrop Liuping Wang Erik Weyer Dept. of Electrical and Electronic Engineering The University of Melbourne VIC 3010 Australia Discipline of Electrical Energy and Control Systems School of Electrical and Computer Engineering RMIT University Melbourne Victoria 3000 Australia

ISBN: (纸本)9781479977970

Intermittent control uses open-loop control punctuated with feedback at times determined by error-driven events. The open-loop trajectories are based on an underlying closed-loop strategy and are generated by a system-matched hold. The single-loop event-driven intermittent control method is extended to the multi-loop decentralised control situation. This decentralised intermittent controller is based on an underlying continuous-time decentralised design which is suitable for systems with both input and state interactions. This extension is achieved by using local models of the remote interacting subsystems. These models are used for control signal generation and they are only updated with remote information at discrete event-driven sample times thus reducing information flow. The approach is illustrated using a simulation of a live-pool irrigation channel model previously examined in the literature.

关键词： generated system-matched literature

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：