检索结果-内蒙古大学图书馆

Annual Conference of Industrial Electronics Society

作者： Hengsi Qin Jonathan W. Kimball Ganesh K. Venayagamoorthy Department of Electrical and Computer Engineering Missouri University of Science and Technology Rolla MO USA Real-Time Power and Intelligent Systems Laboratory Missouri University of Science and Technology Rolla MO USA

A high frequency transformer is a critical component in a dual active bridge converter (DAB) used in a power electronics-based solid state transformer. Operation of a DAB converter requires its transformer to have a specific amount of winding leakage inductance. The demand for high efficiency requires minimization of transformer copper loss and core loss. Furthermore, available window area limits the winding arrangement of transformer. A hybrid of particle swarm optimization (PSO) and differential evolution (DE) is proposed to solve this multi-objective problem with constraints. DE provides diversity to pbest of each particle, which is missing in standard PSO. The differential evolution particle swarm optimization (DEPSO) algorithm is applied to find optimal transformer designs for DAB converters. Results show the DEPSO method is a generic effective way to find optimal high frequency transformer design.

关键词： Windings Inductance Magnetic cores Converters Resistance Particle swarm optimization Optimization

来源：评论

学校读者我要写书评

暂无评论

Leukemia cancer classification based on support vector machine

Leukemia cancer classification based on support vector machi...

引用

8th IEEE International Conference on Industrial Informatics, INDIN 2010

作者： Hsieh, Sung-Huai Wang, Zhenyu Cheng, Po-Hsun Lee, I-Shun Hsieh, Sheau-Ling Lai, Feipei Department of Computer Science and Information Engineering Providence University Taiwan Computing Laboratory Oxford University Oxford United Kingdom Department of Software Engineering National Kaohsiung Normal University Taiwan Department of Computer Science and Information Engineering National Taiwan University Taiwan Department of Electrical Engineering National Taiwan University Taipei Taiwan Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taiwan Network and Computer Centre National Chiao Tung University Hsin Chu Taiwan

ISBN: (纸本)9781424473007

In the paper, we classify cancer with the Leukemia cancer of medical diagnostic data. Information gain has been adapted for feature selections. A Leukemia cnacer model that utilizes Information Gain based on Support Vector Machines (IG-SVM) techniques and enhancements to evaluate, interpret the cacer classification. The experimental results indicate that the SVM model illustrates the highest accuracy of classifications for Leukemia cancer. © 2010 IEEE.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

STLF using Neural Networks and Fuzzy for anomalous load scenarios - A case study for Hajj

STLF using Neural Networks and Fuzzy for anomalous load scen...

引用

International Conference on electrical and computer engineering (ICECE)

作者： Suman Ahmmed Mohammad Asif Ashraf Khan Md. Khairul Hasan Ahmed Yousuf Saber Mohammad Nurul Huda Mohammad Zahidur Rahman Department of Computer Science and Engineering United International University Dhaka Bangladesh Department of Computer Science and Engineering Ahsanullah University of Science and Technology Bangladesh Real-Time Power and Intelligent Systems Laboratory Missouri University of Science and Technology USA Department of Computer Science and Engineering Jahangir Nagar University Dhaka Bangladesh

Load Forecasting has an important role in load generation, scheduling, planning etc. in power system. Different computational intelligent techniques are used in Short Term Load Forecasting (STLF) to make it more effective. Neural Networks (NN) is an effective mapping algorithm that can map complex input-output relationships, which is an important technique to do STLF having existing dataset. Usually a proper NN is sufficient to achieve accepted level of performance. But different load dataset may bear some irregular nature of load demand scenario due to having special events, where accuracy of NN suffers significantly. To enhance the performance for those situations, the authors propose a hybrid STLF approach-Neural Networks and Fuzzy (NNF) method. The authors first try to select the best possible trained NN and do STLF. Considering historical data trend and of existing errors of NN solution, for those special days, NNF determine the Load Change trend. Fuzzy Inference Rules (FIR) have been developed to further improvement by fuzzy method. In fuzzy part the NNF apply FIR on two inputs: STLF of NN and Load Change trend, to enhance the performance of STLF for special events. To evaluate the proposed method it is applied on the dataset of Regional Power Control Center of Saudi Electricity Company, Western Operation Area (SEC-WOA). Since the authors deal with the daily load dataset of Saudia Arabia of Hijri years (Arabian years), Hajj has been chosen as one of the anomalous load scenario. Empirical results show that for Hajj event of Hijri 1428 year, the accuracy of STLF by NN is approximately 6.37%, whereas proposed NNF can decline the error at only 1.92%.

关键词： Artificial neural networks Data structures Boolean functions Load forecasting Finite impulse response filter Forecasting Load modeling

来源：评论

学校读者我要写书评

暂无评论

Stretchable Solar Cells: Stretchable GaAs Photovoltaics with Designs That Enable High Areal Coverage (Adv. Mater. 8/2011)

引用

Advanced Materials 2011年第8期23卷

作者： Jongho Lee Jian Wu Mingxing Shi Jongseung Yoon Sang‐Il Park Ming Li Zhuangjian Liu Yonggang Huang John A. Rogers Department of Materials Science and Engineering Frederick Seitz Materials Research Laboratory University of Illinois at Urbana‐Champaign Urbana Illinois 61801 USA Department of Civil and Environmental Engineering Northwestern University Evanston IL 60208 USA Institute of High Performance Computing Singapore 138631 Singapore Department of Engineering Mechanics Dalian University of Technology Dalian 116024 China Departments of Civil and Environmental Engineering and Mechanical Engineering Northwestern University Evanston Illinois 60208 USA Department of Materials Science and Engineering Chemistry Mechanical Science and Engineering Electrical and Computer Engineering Beckman Institute for Advanced Science and Technology and Frederick Seitz Materials Research Laboratory University of Illinois at Urbana‐Champaign Urbana Illinois 61801 USA

来源：评论

学校读者我要写书评

暂无评论

Effects of variable solar irradiance on the reactive power compensation for large solar farm

Effects of variable solar irradiance on the reactive power c...

引用

iREP Symposium on Bulk Power System Dynamics and Control

作者： Dustin F. Howard Ronald G. Harley Jiaqi Liang Ganesh K. Venayagamoorthy School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Real-Time Power and Intelligent Systems Laboratory Missouri University of Science and Technology Rolla MO USA

Dish-Stirling systems are a form of concentrating solar power (CSP) emerging as an efficient and reliable source of renewable energy. Various technical hurdles are involved in the grid interconnection of dish-Stirling systems, particularly with issues related to power factor correction, low voltage ride-through capability, and reactive power planning. While there are no grid-interconnection requirements specific to dish-Stirling technology, the requirements currently established for wind farms are used as a starting point due to the similar design and operating characteristics between wind farms and dish-Stirling solar farms. A dish-Stirling solar farm requires external reactive power compensation to meet the power factor requirements presently set for wind farms. The following paper provides a brief overview of dish-Stirling technology, along with an analysis of methods for meeting power factor grid interconnection requirements and maintaining necessary voltage levels under varying irradiance conditions due to cloud cover. Simulation results for voltage and power factor of the solar farm are provided for both steady state and cloud transient conditions within a 12-bus network.

关键词： Reactive power Stirling engines Generators Induction machines Space heating

来源：评论

学校读者我要写书评

暂无评论

Studying the impact of synchronization frequency on scheduling tasks with dependencies in heterogeneous systems

Studying the impact of synchronization frequency on scheduli...

引用

作者： Andronikos, Theodore Ciorba, Florina M. Riakiotakis, Ioannis Papakonstantinou, George Chronopoulos, Anthony T. Department of Informatics Ionian University Corfu Greece Computing Systems Laboratory Department of Electrical and Computer Engineering National Technical University of Athens Greece Center for Advanced Vehicular Systems Mississippi State University MS United States Department of Computer Science University of Texas at San Antonio 6900 N. Loop 1604 West San Antonio TX 78249 United States

In this work, we develop and evaluate a theoretical model, which we then use to study the impact of the synchronization frequency on the performance of dynamic self-scheduling algorithms. These algorithms are used to parallelize loops with data dependencies on heterogeneous systems. The proposed model uses a formula to estimate the parallel time as a function of the synchronization frequency. Inter-node communication has been proven to be the dominant factor for the performance degradation of applications containing loops with data dependencies. The synchronization mechanism therefore requires careful fine-tuning in order to give the best possible performance. The proposed model determines the optimal synchronization frequency that results in the minimum parallel time. We use this model to study the impact of the synchronization frequency on the parallel execution of a computational kernel from image processing. For this kernel, the synchronization frequency giving the minimum parallel time predicted by our theoretical model was very close to the synchronization frequency giving the least parallel time in practice. We validate our model by extensive comparisons of the theoretically predicted parallel time and synchronization frequency against those obtained from practical experiments. The comparisons show that the proposed model is highly accurate, its predictions for the optimal synchronization frequency being within 0.0250% of the experimentally optimal synchronization frequency in the best case, and within 0.1750% of the experimentally optimal synchronization frequency in the worst case. Finally, the comparisons show that the proposed model improves on a previously existing model in heterogeneous systems, whereas it gives similar results in homogeneous systems. © 2010 Elsevier B.V. All rights reserved.

关键词： Synchronization

来源：评论

学校读者我要写书评

暂无评论

Proximity user identification using correlogram

引用

作者： Shahidi, Shervin Mazrooei, Parisa Esfahani, Navid Nasr Saraee, Mohammad Intelligent Databases Data Mining and Bioinformatics Research Laboratory Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan 84156-83111 Iran Isfahan Mathematics House Isfahan 81645-356 Iran School of Computing Science and Engineering University of Salford Greater Manchester United Kingdom

ISBN: (纸本)3642163262

This paper represents a technique, applying user action patterns in order to distinguish between users and identify them. In this method, users' actions sequences are mapped to numerical sequences and each user's profile is generated using autocorrelation values. Next, cross-correlation is used to compare user profiles with a test data. To evaluate our proposed method, a dataset known as Greenberg's dataset is used. The presented approach is succeeded to detect the correct user with as high as 82.3% accuracy over a set of 52 users. In comparison to the existing methods based on Hidden Markov Model or Neural Networks, our method needs less computation time and space. In addition, it has the ability of getting updated iteratively which is a main factor to facilitate transferability. © 2010 IFIP.

关键词： Pattern recognition

来源：评论

学校读者我要写书评

暂无评论

CantorSim: Simplifying Acceleration of Micro-architecture Simulations

CantorSim: Simplifying Acceleration of Micro-architecture Si...

引用

International Symposium on Modeling, Analysis and Simulation of computer and Telecommunication Systems (MASCOTS)

作者： Zhibin Yu Hai Jin Jian Chen Lizy K. John Service Computing Technology and System Laboratory Cluster and Grid Computing Laboratory Huazhong University of Science and Technology Wuhan China Department of Electrical and Computer Engineering University of Texas Austin Austin TX USA

Many techniques have been developed to accelerate micro-architecture simulation since it is becoming increasingly urgent as the complexity of workloads and simulated processors increases. However, most of popular techniques need profiles or trial simulations to determine parameters before real simulations. When the number of dynamic instructions of workloads such as SPEC CPU2006 is huge, the profiles or trial simulations often take a long time. What's worse, any changes of benchmarks need to repeat the above work. This paper proposes a novel approach based on fractals to solve this problem. It employs the generation procedure of trisection Cantor Set, a classic fractal, to select instructions simulated in detail. We implement a simulator named CantorSim using the trisection Cantor fractal approach. The simulator is evaluated with benchmark programs from SPEC CPU2000 and SPEC CPU2006. We show that our approach is micro-architecture independent as the same parameter value for a single program yields similar results on processors with different configurations. The unified analytical model used to determine sampling parameters for different benchmarks indicates the proposed approach can save a lot of time for preparing parameters. On the other hand, for SPEC CPU2000 and SPEC CPU2006, CantorSim is slightly faster than SMARTSim. The validated average CPI relative errors of the SPEC CPU2000 and SPEC CPU2006 are 3.2% and 2.2% respectively. Therefore, our proposed approach can simplify acceleration of simulations significantly without sacrificing speed and accuracy.

关键词： Fractals Benchmark testing Acceleration Computational modeling Accuracy Predictive models Program processors

来源：评论

学校读者我要写书评

暂无评论

On the Fusion of Periocular and Iris Biometrics in Non-ideal Imagery

On the Fusion of Periocular and Iris Biometrics in Non-ideal...

引用

International Conference on Pattern Recognition

作者： Damon L. Woodard Shrinivas Pundlik Philip Miller Raghavender Jillela Arun Ross Biometrics and Pattern Recognition Laboratory School of Computing Clemson University USA Lane Department of Computer Science and Electrical Engineering West Virginia University USA

Human recognition based on the iris biometric is severely impacted when encountering non-ideal images of the eye characterized by occluded irises, motion and spatial blur, poor contrast, and illumination artifacts. This paper discusses the use of the periocular region surrounding the iris, along with the iris texture patterns, in order to improve the overall recognition performance in such images. Periocular texture is extracted from a small, fixed region of the skin surrounding the eye. Experiments on the images extracted from the Near Infra-Red (NIR) face videos of the Multi Biometric Grand Challenge (MBGC) dataset demonstrate that valuable information is contained in the periocular region and it can be fused with the iris texture to improve the overall identification accuracy in non-ideal situations.

关键词： Iris recognition Videos Pixel Skin Databases Face recognition

来源：评论

学校读者我要写书评

暂无评论

M-Polar: Channel Allocation for Throughput Maximization in SDR Mesh Networks

M-Polar: Channel Allocation for Throughput Maximization in S...

引用

2010 Proceedings IEEE INFOCOM

作者： Eugene Chai Kang G. Shin Real-Time Computing Laboratory Department of Electrical Engioneering and Computer Science The University of Michigan Ann Arbor MI 48109-2121 U.S.A.

ISBN: (纸本)9781424458363

In traditional wireless networks, nodes use only a single channel per radio interface, thus limiting the overall channel diversity of the network. This restriction is due to the inherent limitations of commercially-available RF devices. With the advent of high-bandwidth software-defined radios (SDRs), we now have the option of assigning multiple contiguous, independent channels to a single wireless interface. This new-found opportunity raises an important question: how do we assign contiguous channels to nodes in order to maximize overall network throughput? This question lies at the often-ignored intersection of single-radio-multi-channel and multi-radio-multi-channel assignment schemes. In this paper, we develop a protocol that assigns contiguous channels with the goal of evenly spreading the load across the multiple channels. Neighboring nodes greedily adjust their channel ranges according to channel conditions to achieve an overall pattern of partially-overlapping bandwidths that maximizes the network throughput. The end-result is a network that can dynamically adapt its bandwidth usage to the network load and the conditions of the different channels. The proposed protocol is evaluated with a prototype built upon the USRP as well as with detailed simulation.

关键词： Channel allocation RF Devices radio interface Ganglia Mesh networks single-channel MULTICHANNEL Network throughput SDPR gene LOAD protocols Software radio Bandwidth

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：