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集成电路分析-识别系统的研究
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作者 林争辉 《上海交通大学学报》 EI CAS CSCD 北大核心 1995年第1期106-111,共6页
本文提出了集成电路芯片分析-识别系统的设计思想,并详细论述了版图-电路提取软件和电路拓扑结构检查软件的功能和算法特点.
关键词 集成电路 芯片 分析-识别系统 电路提取
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Execution Time Analysis of a Gen-2 Remote Computer
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作者 Ajay Ogirala Archana Murari +1 位作者 Peter Hawrylak Marlin Mickle 《Computer Technology and Application》 2011年第2期94-101,共8页
The communication in the physical layer between an interrogator and a tag of a passive Radio Frequency Identification (RFID) system operating between 860-960 MHz is defined by the Gen 2 protocol. The tag can be cons... The communication in the physical layer between an interrogator and a tag of a passive Radio Frequency Identification (RFID) system operating between 860-960 MHz is defined by the Gen 2 protocol. The tag can be considered a remote executing unit or a computer that executes instructions from the Gen 2 protocol. The selection of the parameter and command configuration within the protocol limitations is critical especially if the time available for the memory operations in a passive RFID system is limited. An effort is made to map the operation of the tag not in its states of operation as elaborately explained in the protocol but rather in its elementary format. The research reported in this article identifies all the parameters that affect the dynamic operation of the tag. The operation is further divided into singulation, read and write; identifying the significant parameters in each case. The choices of the different commands that can be adopted to perform identical operations on the tag are analyzed. The elements to consider in selecting the optimum command configuration are described. The impact of the different parameter and command configuration on the singulation, read and write time is calculated and recorded using a tested Gen 2 simulator program. 展开更多
关键词 Radio Frequency Identification (RFID) Gen 2 Gen 2 simulator Gen 2 parameter configuration Gen 2 commandconfiguration.
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Operational Modal Analysis of a Ship Model in the Presence of Harmonic Excitation 被引量:1
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作者 Junchen Xu Ming Hong Xiaobing Liu 《Journal of Marine Science and Application》 2013年第1期38-44,共7页
A ship is operated under an extremely complex environment, and waves and winds are assumed to be the stochastic excitations. Moreover, the propeller, host and mechanical equipment can also induce the harmonic response... A ship is operated under an extremely complex environment, and waves and winds are assumed to be the stochastic excitations. Moreover, the propeller, host and mechanical equipment can also induce the harmonic responses. In order to reduce structural vibration, it is important to obtain the modal parameters information of a ship. However, the traditional modal parameter identification methods are not suitable since the excitation information is difficult to obtain. Natural excitation technique-eigensystem realization algorithm (NExT-ERA) is an operational modal identification method which abstracts modal parameters only from the response signals, and it is based on the assumption that the input to the structure is pure white noise. Hence, it is necessary to study the influence of harmonic excitations while applying the NExT-ERA method to a ship structure. The results of this research paper indicate the practical experiences under ambient excitation, ship model experiments were successfully done in the modal parameters identification only when the harmonic frequencies were not too close to the modal frequencies. 展开更多
关键词 natural excitation technique (NExT) eigensystem realization algorithm (ERA) ship structure harmonic excitation signal processing modal parameters identification ship model operational model analysis
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Prostate cancer identification: quantitative analysis of T2-weighted MR images based on a back propagation artificial neural network model 被引量:16
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作者 ZHAO Kai WANG ChengYan +6 位作者 HU Juan YANG XueDong WANG He LI FeiYu ZHANG XiaoDong ZHANG Jue WANG XiaoYing 《Science China(Life Sciences)》 SCIE CAS CSCD 2015年第7期666-673,共8页
Computer-aided diagnosis(CAD) systems have been proposed to assist radiologists in making diagnostic decisions by providing helpful information. As one of the most important sequences in prostate magnetic resonance im... Computer-aided diagnosis(CAD) systems have been proposed to assist radiologists in making diagnostic decisions by providing helpful information. As one of the most important sequences in prostate magnetic resonance imaging(MRI), image features from T2-weighted images(T2WI) were extracted and evaluated for the diagnostic performances by using CAD. We extracted 12 quantitative image features from prostate T2-weighted MR images. The importance of each feature in cancer identification was compared in the peripheral zone(PZ) and central gland(CG), respectively. The performance of the computer-aided diagnosis system supported by an artificial neural network was tested. With computer-aided analysis of T2-weighted images, many characteristic features with different diagnostic capabilities can be extracted. We discovered most of the features(10/12) had significant difference(P<0.01) between PCa and non-PCa in the PZ, while only five features(sum average, minimum value, standard deviation, 10 th percentile, and entropy) had significant difference in CG. CAD prediction by features from T2 w images can reach high accuracy and specificity while maintaining acceptable sensitivity. The outcome is convictive and helpful in medical diagnosis. 展开更多
关键词 prostate cancer magnetic resonance imaging T2WI DIAGNOSIS COMPUTER-ASSISTED
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