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New Method for Constructing Comparison Matrix Based on the Proportion Scales in the AHP

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Journal of Systems engineer.ng and Electronics 2003年第3期14卷 8-13页

作者： huang decai & Shen Lia{2.zho{2. {2. of informaton engineer.ng, zhejiang university of technology, hangzhou 310032. P. R. China college of informaton {2. Zhejiang University of Technology Hangzhou 310032 P. R. China

The main faults existing in current scale methods are that the scales do not represent the real importance of alternatives and their relations. This paper presents a proportion judgment scale and introduces a new method based on the proportion scale for construction comparison matrix in the analytic hierarchy process (AHP). The proportion judgment scales do not have the faults existing in current scale methods and the comparison matrix constructed by the new scale

关键词： AHP Judgment scales Comparison matrix Consistency checking.

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易于维护和升级的应用程序研究

计算机工程 2001年第12期27卷 170-171页

作者：朱艺华黄德才浙江工业大学信息智能与决策优化研究所杭州310014 浙江工业大学信息学院杭州310014

该文提出了编写易于维护和升级的应用程序的方案,并且给出了用Powerbuilder开发工具的实现方法。

关键词：程序可维护性程序可升级性 PowerBuilder 面向对象应用程序

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基于随机光栅的掺铥光纤随机激光器研究

中国激光 2023年第2期50卷 9-14页

作者：胡耀宗朱德才黄昌清董新永广东工业大学信息工程学院广东广州510006 广东省信息光子技术重点实验室广东广州510006 中国计量大学光学与电子科技学院浙江杭州310018

采用能增强瑞利散射效率的光纤随机光栅作为掺铥光纤随机激光器的随机分布反馈介质,光纤环镜下激光器形成半开腔结构,在793nm半导体激光器泵浦下,实现了波长为1951nm的单波长随机激光输出。激光器的泵浦阈值功率为2.1W,比已报道的相同... 详细信息

采用能增强瑞利散射效率的光纤随机光栅作为掺铥光纤随机激光器的随机分布反馈介质,光纤环镜下激光器形成半开腔结构,在793nm半导体激光器泵浦下,实现了波长为1951nm的单波长随机激光输出。激光器的泵浦阈值功率为2.1W,比已报道的相同泵浦波长的掺铥光纤随机激光器的阈值低40%。在泵浦功率为6W时,获得的激光输出功率为142.9mW,边模抑制比为43dB,输出激光在1h内的波长偏移量小于0.1nm,功率波动小于3.7mW,具有良好的稳定性。

关键词：激光器随机激光器瑞利散射掺铥光纤激光器光纤随机光栅光纤环镜

Insight in obsessive-compulsive disorder:conception,clinical characteristics,neuroimaging,and treatment

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Psychoradiology 2023年第1期3卷 107-117页

作者： Yueqi huang Yazhu Weng Lan Lan Cheng Zhu Ting Shen Wenxin Tang Hsin-Yi Lai Department of Psychiatry Affiliated Mental Health Center and Hangzhou Seventh People’s HospitalZhejiang University School of MedicineHangzhou 310007China Fourth Clinical School of zhejiang Chinese Medical university Hangzhou 310053China Department of Psychology and Behavior Science Zhejiang UniversityHangzhou 310058China Frontotemporal Degener ation Center Department of NeurologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphia 19104PAUSA Department of Neurology of the Second Affiliated Hospital Interdisciplinary Institute of Neuroscience and TechnologyKey Laboratory of Medical Neurobiology of Zhejiang Pro vinceZhejiang University School of MedicineHangzhou 310029China MOE Frontier Science Center for Brain Science and Brain-Machine Integration State Key Laboratory of Brain-machine IntelligenceSchool of Brain Science and Brain MedicineZhejiang UniversityHangzhou 311121China college of Biomedical engineer.ng and Instrument Science Zhejiang UniversityHangzhou 310027China

Obsessive-compulsive disorder(OCD)is a chronic disabling disease with often unsatisfactory therapeutic *** fifth edition of the Diagnostic and Statistical Manual of Mental Disorders(DSM-5)has broadened the diagnostic criteria for OCD,acknowledging that some OCD patients may lack insight into their *** studies have demonstrated that insight can impact therapeutic efficacy and prognosis,underscoring its importance in the treatment of mental disorders,including *** recent years,there has been a growing interest in understanding the influence of insight on mental disorders,leading to advancements in related ***,to the best of our knowledge,there is dearth of comprehensive reviews on the topic of insight in *** this review article,we aim to fill this gap by providing a concise overview of the concept of insight and its multifaceted role in clinical characteristics,neuroimaging mechanisms,and treatment for OCD.

关键词： obsessive-compulsive disorder insight mental health neuroimaging

Chip-scale broadband spectroscopic chemical sensing using an integrated supercontinuum source in a chalcogenide glass waveguide

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Photonics Research 2018年第6期6卷 506-510页

作者： QIngYAng DU ZHEngQIAN LUO HUIKAI ZHOng YIFEI ZHAng YIZHOng huang TUANJIE DU WEI ZHAng TIAN GU JUEJUN HU Department of Materials Science and engineer.ng Massachusetts Institute of Technology Department of Electronic engineer.ng Xiamen University college of infor.ation Science and Electronic {2. Zhejiang University Key Laboratory of Photoelectric Materials and Devices of zhejiang Province Ningbo University

On-chip spectroscopic sensors have attracted increasing attention for portable and field-deployable chemical detection applications. So far, these sensors largely rely on benchtop tunable lasers for spectroscopic interrogation. Large footprint and mechanical fragility of the sources, however, preclude compact sensing system integration. In this paper, we address the challenge through demonstrating, for the first time to our knowledge, a supercontinuum source integrated on-chip spectroscopic sensor, where we leverage nonlinear Ge_(2.)Sb_(18)Se_(60) chalcogenide glass waveguides as a unified platform for both broadband supercontinuum generation and chemical detection. A home-built, palm-sized femtosecond laser centering at 1560 nm wavelength was used as the pumping source. Sensing capability of the system was validated through quantifying the optical absorption of chloroform solutions at 1695 nm. This work represents an important step towards realizing a miniaturized spectroscopic sensing system based on photonic chips.

关键词： Sensors Supercontinuum generation.

核密度估计算法结合近红外光谱技术鉴别三叶青产地

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光谱学与光谱分析 2018年第3期38卷 794-799页

作者：赖添悦蔡逢煌彭昕柴琴琴李玉榕王武福州大学电气工程与自动化学院福建福州350116 浙江医药高等专科学校制药工程学院浙江宁波315100 福建省医疗器械和医药技术重点实验室福建福州350116

三叶青是我国珍稀中药材,具有多种疗效,但不同产地的三叶青有效成分含量差异悬殊,为防止三叶青以次充好,其产地鉴别尤为重要。以浙江、云南、安徽、广西和湖北五个产地的三叶青为研究对象,利用傅里叶变换近红外光谱分析仪(Fourier trans... 详细信息

三叶青是我国珍稀中药材,具有多种疗效,但不同产地的三叶青有效成分含量差异悬殊,为防止三叶青以次充好,其产地鉴别尤为重要。以浙江、云南、安徽、广西和湖北五个产地的三叶青为研究对象,利用傅里叶变换近红外光谱分析仪(Fourier transform near infrared spectroscopy,FT-NIR)收集4 000~10 000cm-1范围内的近红外光谱,由于三叶青近红外光谱数据还未完善,因此在其产地鉴别上,应对鉴别算法提出更高的要求,即在实现三叶产地鉴别的同时,还要能够有效地识别出其他或未知新产地的三叶青。针对这一问题,本文结合三叶青近红外光谱数据的特点,对算法共做了三方面改进:(1)从距离的角度估计样本的概率密度;(2.以训练样本可信度的方式计算带宽参数;(3)在未知新产地的识别上,提出一种基于训练集样本的概率密度函数的识别方法。结果表明,该算法对训练集样本的识别精度达到了100%,且在140组预测集样本中,只有3组样本识别出错,并能够100%地识别出未知新产地的三叶青,说明基于核密度估计的改进算法在三叶青产地鉴别上,不仅鉴别精度高,且能够有效识别出其他或未知新产地的三叶青。

关键词：三叶青产地鉴别核密度估计未知新产地近红外光谱