发布求助
文献互助 智能选刊 最新文献

CCECE 2010最新文献

筛选
英文 中文
Reconstruction of effective wind speed for fixed-speed wind turbines based on frequency data fusion 基于频率数据融合的定速风力机有效风速重构
CCECE 2010 Pub Date : 2010-05-02 DOI: 10.1109/CCECE.2010.5575115
Zhiqiang Xu, M. Ehsani
{"title":"Reconstruction of effective wind speed for fixed-speed wind turbines based on frequency data fusion","authors":"Zhiqiang Xu, M. Ehsani","doi":"10.1109/CCECE.2010.5575115","DOIUrl":"https://doi.org/10.1109/CCECE.2010.5575115","url":null,"abstract":"The rotator of the wind turbine is subject to a spatially and temporally distributed wind field, the wind speed will vary significantly at different point over the blades plane. This makes a direct measurement of effective wind speed impossible. This paper analyzes the spectrum of the measurement of the anemometer and generator power of a wind turbine, and points out that the characteristics of these two signals are complementary in the frequency domain. An observer for effective wind speed has been proposed based on frequency-domain data fusion theory. The observer design is formulated as an mixed-sensitivity problem with LMIs. Simulations were carried out to assess the performance under a realistic wind speed profile. The simulation results show that the observer can not only guarantee the static accuracy, but also to improve the dynamic accuracy of the measurements of effective wind.","PeriodicalId":325063,"journal":{"name":"CCECE 2010","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127116037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Two dimensional analytic wavelet thresholding and its application to ultrasonic pulse-echo B-scan denoising 二维解析小波阈值法及其在超声脉冲回波b扫描去噪中的应用
CCECE 2010 Pub Date : 2010-05-02 DOI: 10.1109/CCECE.2010.5575123
Mohammad R. Hoseini, M. Zuo, Xiaodong Wang
{"title":"Two dimensional analytic wavelet thresholding and its application to ultrasonic pulse-echo B-scan denoising","authors":"Mohammad R. Hoseini, M. Zuo, Xiaodong Wang","doi":"10.1109/CCECE.2010.5575123","DOIUrl":"https://doi.org/10.1109/CCECE.2010.5575123","url":null,"abstract":"Ultrasonic signals acquired from field experiments are often noisy. In pulse-echo setup, the wedge echo is also present which corrupts the received signal further. In this paper, we use the two-dimensional stationary wavelet transform and analytic thresholding for removing the random noise and the wedge noise. In order to apply the analytic thresholding, we need to calculate 2D analytic signal. Since there is no regular generalization of the analytic signal to two dimensions, we address this problem for the case of the ultrasonic pulse echo setup. We utilize a simulated signal and an experimental signal to evaluate the performance of the proposed denoising method. The experimental results show that the proposed method is able to reveal the signature of a crack as small as 0.1mm.","PeriodicalId":325063,"journal":{"name":"CCECE 2010","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124877904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Parametric THz frequency multiplication using CMOS technology 采用CMOS技术的参数太赫兹倍频
CCECE 2010 Pub Date : 2010-05-02 DOI: 10.1109/CCECE.2010.5575203
Zhixing Zhao, Jean-François Bousquet, S. Magierowski
{"title":"Parametric THz frequency multiplication using CMOS technology","authors":"Zhixing Zhao, Jean-François Bousquet, S. Magierowski","doi":"10.1109/CCECE.2010.5575203","DOIUrl":"https://doi.org/10.1109/CCECE.2010.5575203","url":null,"abstract":"Accumulation-mode MOS varactors (AMOSVs) are considered for use in THz frequency multipliers. The superior modulation ratios and lower series loss relative to silicon Schottky diodes for a 130-nm CMOS technology are highlighted. Dynamic cutoff frequencies in excess of 1-THz are predicted. AMOSV potential for 10-dB loss, 600-GHz doublers is discussed as is an integrated 100-GHz doubler design.","PeriodicalId":325063,"journal":{"name":"CCECE 2010","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125058674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
A new Bulk Built-In Current Sensing circuit for single-event transient detection 一种用于单事件瞬态检测的新型内置电流传感电路
CCECE 2010 Pub Date : 2010-05-02 DOI: 10.1109/CCECE.2010.5575124
Zhichao Zhang, Tao Wang, Li Chen, Jinsheng Yang
{"title":"A new Bulk Built-In Current Sensing circuit for single-event transient detection","authors":"Zhichao Zhang, Tao Wang, Li Chen, Jinsheng Yang","doi":"10.1109/CCECE.2010.5575124","DOIUrl":"https://doi.org/10.1109/CCECE.2010.5575124","url":null,"abstract":"This paper introduces a new design for the Bulk Built-In Current Sensor (BICS) capable of detecting the single-event transients (SET) due to a particle strike in the integrated circuits. An 4-bit multiplier is used as a case study. The simulation results indicate that efficiency and applicability of the Bulk-BICS of this work improves while the power consumption and area overhead reduce greatly.","PeriodicalId":325063,"journal":{"name":"CCECE 2010","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116117119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 35
Spectral verification of an experimentally derived acoustical impulse response function of a music performance hall 光谱验证的实验推导声脉冲响应函数的音乐表演大厅
CCECE 2010 Pub Date : 2010-05-02 DOI: 10.1109/CCECE.2010.5575251
D. Frey, V. A. Coelho, R. Rangayyan
{"title":"Spectral verification of an experimentally derived acoustical impulse response function of a music performance hall","authors":"D. Frey, V. A. Coelho, R. Rangayyan","doi":"10.1109/CCECE.2010.5575251","DOIUrl":"https://doi.org/10.1109/CCECE.2010.5575251","url":null,"abstract":"Spectral analysis may be used to monitor process measurement accuracy and provide verification of an experimentally derived acoustical impulse response function (AIRF) of a music performance hall. First, it is necessary to derive a transducer system inverse filter in order to remove the residual effects of the measurement hardware from the AIRF. Second, through the use of a test signal, spectral analysis of the AIRF of the actual hall may be performed and compared with that of the experimentally derived AIRF. In this manner, the present work illustrates how power spectral density analysis may be used for the numerical quantification and verification of the measured AIRF of a music performance hall.","PeriodicalId":325063,"journal":{"name":"CCECE 2010","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122343593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Super-resolution video reconstruction based on both local and global information 基于局部和全局信息的超分辨率视频重建
CCECE 2010 Pub Date : 2010-05-02 DOI: 10.1109/CCECE.2010.5575208
I-Hsien Lee, S. Tseng, N. Bose
{"title":"Super-resolution video reconstruction based on both local and global information","authors":"I-Hsien Lee, S. Tseng, N. Bose","doi":"10.1109/CCECE.2010.5575208","DOIUrl":"https://doi.org/10.1109/CCECE.2010.5575208","url":null,"abstract":"Although super-resolution (SR) methods have been successfully used to improve the resolution of video content, these methods estimate high resolution (HR) frames without explicitly use local information. Instead, they minimize the sum of difference between acquired low resolution (LR) images and observation model. On the contrary, adaptive kernel regression estimates each pixel of HR frames independently. It does not consider global optimum while estimating HR frames. In this paper, we proposed an idea of employing adaptive kernel regression on SR methods to improve the quality of super-resolved video frames. It is shown that the proposed idea can provide results with better visual quality and Peak Signal-to-Noise Ratio (PSNR).","PeriodicalId":325063,"journal":{"name":"CCECE 2010","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122354539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A scalability study of fractional motion estimation for H.264 encoding H.264编码下分数阶运动估计的可扩展性研究
CCECE 2010 Pub Date : 2010-05-02 DOI: 10.1109/CCECE.2010.5575117
Jasmina Vasiljevic, A. Ye
{"title":"A scalability study of fractional motion estimation for H.264 encoding","authors":"Jasmina Vasiljevic, A. Ye","doi":"10.1109/CCECE.2010.5575117","DOIUrl":"https://doi.org/10.1109/CCECE.2010.5575117","url":null,"abstract":"Fractional motion estimation (FME) is an important part of the H.264/AVC video encoding standard. The algorithm can significantly increase the compression ratio of video encoders while at the same time improve video quality. The FME algorithm, however, is also computationally expensive and can consist of over 45% of the total motion estimation process. To maximize the performance and efficiency of the FME implementations on Field-Programmable Gate Arrays (FPGAs), one needs to effectively exploit the inherent parallelism in the algorithm. In this work, we define two scalability approaches in order to intelligently parallelize the computing hardware. We implemented five scaled FME designs on a Xilinx XC5VLX330T (Virtex-5) FPGA. We found that scaling vertically with an 4×4 subblock is more efficient than scaling horizontally across several subblocks. It is shown that the best vertically scaled design can achieve 128 fps when encoding full 1920×1088 progressive HDTV video with only 20.7K LUTS and 23.4K registers.","PeriodicalId":325063,"journal":{"name":"CCECE 2010","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128962098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Automated synthesis of feature functions for pattern detection 用于模式检测的特征函数的自动合成
CCECE 2010 Pub Date : 2010-05-02 DOI: 10.1109/CCECE.2010.5575224
P. Guo, P. Bhattacharya, N. Kharma
{"title":"Automated synthesis of feature functions for pattern detection","authors":"P. Guo, P. Bhattacharya, N. Kharma","doi":"10.1109/CCECE.2010.5575224","DOIUrl":"https://doi.org/10.1109/CCECE.2010.5575224","url":null,"abstract":"In pattern detection systems, the general techniques of feature extraction and selection perform linear transformations from primitive feature vectors to new vectors of lower dimensionality. At times, new extracted features might be linear combinations of some primitive features that are not able to provide better classification accuracy. To solve this problem, we propose the integration of genetic programming and the expectation maximization algorithm (GP-EM) to automatically synthesize feature functions based on primitive input features for breast cancer detection. With the Gaussian mixture model, the proposed algorithm is able to perform nonlinear transformations of primitive feature vectors and data modeling simultaneously. Compared to the performance of other algorithms, such us the support vector machine, multi-layer perceptrons, inductive machine learning and logistic regression, which all used the entire primitive feature set, the proposed algorithm achieves a higher recognition rate by using one single synthesized feature function.","PeriodicalId":325063,"journal":{"name":"CCECE 2010","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123731892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Improved Sequential Quadratic Programming approach for optimal Distribution Generation sizing in distribution networks 配电网配电网发电规模优化的改进序贯二次规划方法
CCECE 2010 Pub Date : 2010-05-02 DOI: 10.1109/CCECE.2010.5575191
M. F. AlHajri, M. AlRashidi, M. El-Hawary
{"title":"Improved Sequential Quadratic Programming approach for optimal Distribution Generation sizing in distribution networks","authors":"M. F. AlHajri, M. AlRashidi, M. El-Hawary","doi":"10.1109/CCECE.2010.5575191","DOIUrl":"https://doi.org/10.1109/CCECE.2010.5575191","url":null,"abstract":"Integrating Distribution Generation sources (DGs) into an electric power system has an overall positive impact on the system. This impact can be enhanced via optimal DG placement and sizing. In this paper the location issue is investigated through an All Possible Combinations (APC) search approach of the distribution network. The DG rating, on the other hand, is formulated as a nonlinear optimization problem subject to highly nonlinear equality and inequality constraints. Sizing the DG optimally is performed using a conventional Sequential Quadratic Programming (SQP) method and a Fast SQP (FSQP) method. The FSQP is an improved version of the conventional SQP method that incorporates the Fast and Flexible Radial Power Flow (FFRPF) routine, which was developed by the authors in an earlier paper, to satisfy the power flow requirements. The results of this hybrid method are compared with those obtained using the conventional SQP technique, and the comparison results favor the proposed technique. This approach is designed to handle optimal single and multiple DG sizing. A 33-bus distribution network is used to investigate the performance of the proposed approach.","PeriodicalId":325063,"journal":{"name":"CCECE 2010","volume":"42 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131076107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 12
Peak power control of MC-CDMA with special classes of binary sequences 一类特殊二进制序列的MC-CDMA峰值功率控制
CCECE 2010 Pub Date : 2010-05-02 DOI: 10.1109/CCECE.2010.5575186
Xin Gao, N. Yu, Zhiwei Mao
{"title":"Peak power control of MC-CDMA with special classes of binary sequences","authors":"Xin Gao, N. Yu, Zhiwei Mao","doi":"10.1109/CCECE.2010.5575186","DOIUrl":"https://doi.org/10.1109/CCECE.2010.5575186","url":null,"abstract":"In this paper, the peak-to-average power ratio (PAPR) properties of m-sequences, 3-term, 5-term and Welch-Gong sequences are discussed as the spreading codes for downlink MC-CDMA. It is shown that for single or multiple users, the orthogonal codes generated by these sequences provide lower peak-to-mean-envelope-power ratios (PMEPR) than Walsh-Hadamard sequences. Therefore, these sequences can be considered as good alternatives to replace Walsh codes by reducing PAPRs of MC-CDMA systems.","PeriodicalId":325063,"journal":{"name":"CCECE 2010","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131125617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信