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Low-Brightness Object Recognition Based on Deep Learning

Computers, Materials & Continua 2024年第5期79卷 1757-1773页

作者： Shu-Yin Chiang ting-yu lin Department of Information and Telecommunications Engineering Ming Chuan UniversityTaoyuan City333Taiwan

This research focuses on addressing the challenges associated with image detection in low-light environments,particularly by applying artificial intelligence techniques to machine vision and object recognition *** primary goal is to tackle issues related to recognizing objects with low brightness *** this study,the Intel RealSense Lidar Camera L515 is used to simultaneously capture color information and 16-bit depth information *** detection scenarios are categorized into normal brightness and low brightness *** the system determines a normal brightness environment,normal brightness images are recognized using deep learning *** low-brightness situations,three methods are proposed for *** first method is the SegmentationwithDepth image(SD)methodwhich involves segmenting the depth image,creating amask from the segmented depth image,mapping the obtained mask onto the true color(RGB)image to obtain a backgroundreduced RGB image,and recognizing the segmented *** second method is theHDVmethod(hue,depth,value)which combines RGB images converted to HSV images(hue,saturation,value)with depth images D to form HDV images for *** third method is the HSD(hue,saturation,depth)method which similarly combines RGB images converted to HSV images with depth images D to form HSD images for *** experimental results,in normal brightness environments,the average recognition rate obtained using image recognition methods is 91%.For low-brightness environments,using the SD method with original images for training and segmented images for recognition achieves an average recognition rate of over 82%.TheHDVmethod achieves an average recognition rate of over 70%,while the HSD method achieves an average recognition rate of over 84%.The HSD method allows for a quick and convenient low-light object recognition *** research outcome can be applied to nighttime surveillance systems or nighttime road safety systems

关键词： Low-brightness depth image image segmentation image recognition HDV HSD

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The research of enterprise knowledge workers＇ active work stress management

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Journal of Zhouyi Research 2014年第6期 50-52页

作者： Wang Rong yu ting Chen lin Shanghai University of Engineering Science Shanghai China

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The research of enterprise knowledge workers＇ active work stress management

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International English Education Research 2015年第3期 50-52页

作者： Wang Rong yu ting Chen lin Shanghai University of Engineering Science Shanghai China

With the advent of the knowledge economy era, the modem enterprise desires to maintain sustainable development, the key is to find the best ways of knowledge creation, dissemination and use through the management. Knowledge workers are the main force of economic construction. They play a more important role in the development of enterprises and society, while facing greater pressure. This paper describes the status of work stress management study in China and abroad. Then analyze the source of the knowledge workers working pressure and Working pressure mechanism on job performance. Eventually, the paper proposes active management strategies of enterprise knowledge workers working stress.

关键词： knowledge workers work stress stressors management strategies

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An Efficient Information Hiding Scheme Based on Closest Paired Tree Structure Vector Quantization

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Journal of Electronic Science and Technology 2013年第1期11卷 15-19页

作者： Zhi-Hui Wang Chin-Chen Chang ting-yu lin the School of Software Dalian University of Technology the Department of Information Engineering and Computer Science Feng Chia University the Department of Computer Science and Information Engineering Asia University the Department of Computer Science and Information Engineering National Chung Cheng University

Information hiding schemes based on vector quantization （VQ） usually require lengthy VQ encoding and decoding processes. In this paper, we propose an efficient information hiding method based on closest paired tree structure vector quantization （CPTSVQ）. The simulation result shows that the execution time of the proposed scheme is much shorter than that attained by previous approaches.

关键词： Digital image information hiding tree structure vector quantization vector quantization.

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Unripe Fruit Extracts of <i>Mangifera indica L.</i>Protect against AGEs Formation, Melanogenesis and UVA-Induced Cell Damage

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Food and Nutrition Sciences 2019年第2期10卷 188-197页

作者： Chin-Hsiu yu yu-ting lin Hsiang-ling Su Kai-Wen Kan Fu-Chen Liu Shan-yu lin yu-Ming Chung Hsin-Fen Hsu yung-Hsiang lin TCI Research and Design Center TCI Co. Ltd. Taiwan

In this study, we explored the effects of unripe fruit extracts of Mangifera indica L. on the anti-aging activity in skin cells. Mangifera indica L. is a popular economical and medicinal plant with numerous health-beneficial properties. The aqueous extracts of unripe fruit of Mangifera indica L. were obtained and subjected to HPLC and NMR analyses for the identification of bioactive compounds. The anti-glycation effect of Mango unripe fruit extracts was monitored by in vitro model system of AGEs (Advanced glycation end products) formation. Mango unripe fruit extracts significantly inhibited the AGEs formation in a dose-dependent manner. Meanwhile, Mango unripe fruit extracts possessed a comparable efficiency to commercialized Kojic acids in the inhibition of melanogenesis in B16-F10 melanoma cells. The UVA-induced cell damages can be prevented and repaired by Mango unripe fruit extracts in skin fibroblast CCD-966SK. Compared to the untreated control, Mango unripe fruit extracts significantly increased the cell viability while being applied before (36%) or after (43%) UVA irradiation. These results verified the potential application of Mango unripe fruit extracts in the skin protection and recovery from UVA irradiation, as well as the suppression of AGEs formation and melanogenesis.

关键词： Mangifera indica L. Anti-Glycation Melanogenesis UVA-Induced Cell Damage

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A swarm intelligence design based on a workshop of meta-synthetic engineering

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Frontiers of Information Technology & Electronic Engineering 2017年第1期18卷 149-152页

作者： Bo-hu LI Hui-yang QU ting-yu lin Bao-cun HOU Xiang ZHAI Guo-qiang SHI Jun-hua ZHOU Chao RUAN The Second Academy of China Aerospace Science and Technology Corporation The State Key Laboratory of Intelligent Manufacturing System for Complex Products Beijing Aerospace Intelligent Manufacturing Technology Development Co. Ltd.

In this paper, we present a swarm intelligence design technology based on a workshop of meta-synthetic engineering, including the architecture, the decision-making process of swarm intelligence design based on a meta-synthetic workshop, and the design resource delivery technology involved in the design. We conclude the paper with a discussion of future research.

关键词： Meta-synthetic engineering Swarm intelligence Design resources delivery

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胃肠道微生态系统与胃食管反流病关系的研究进展

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胃肠病学 2017年第4期22卷 245-248页

作者：沈小雪俞汀林琳南京医科大学第一附属医院消化科 210029

胃肠道中存在着人体内最复杂的微生态系统,其微生态平衡对人体健康具有重要作用。胃食管反流病(GERD)的发生、发展与食管、胃、肠微生态密切相关,胃肠道微生态系统的变化可能通过多种途径参与诱导食管黏膜炎症反应和下食管括约肌(LES)... 详细信息

胃肠道中存在着人体内最复杂的微生态系统,其微生态平衡对人体健康具有重要作用。胃食管反流病(GERD)的发生、发展与食管、胃、肠微生态密切相关,胃肠道微生态系统的变化可能通过多种途径参与诱导食管黏膜炎症反应和下食管括约肌(LES)松弛、增加胃内压力、延迟胃排空,最终引发或加重胃食管反流。本文就胃肠道微生态系统与GERD关系的研究进展作一综述。

关键词：微生物群落胃肠道胃食管反流病炎症自主神经系统有益菌种

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胃肠道微生态如何影响慢性便秘以及指导临床治疗

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胃肠病学 2017年第5期22卷 308-311页

作者：沈小雪俞汀林琳南京医科大学第一附属医院消化科 210029

胃肠道微生态在多种疾病中具有特征性改变,并参与疾病的发生、发展。研究表明慢性便秘患者肠道微生物的生态多样性发生明显变化,而微生态制剂对慢性便秘具有治疗作用。本文通过总结慢性便秘的肠道微生态改变、微生态异常影响肠动力的机... 详细信息

胃肠道微生态在多种疾病中具有特征性改变,并参与疾病的发生、发展。研究表明慢性便秘患者肠道微生物的生态多样性发生明显变化,而微生态制剂对慢性便秘具有治疗作用。本文通过总结慢性便秘的肠道微生态改变、微生态异常影响肠动力的机制以及两者间的相互作用、微生态制剂的治疗作用等方面的研究进展,阐述胃肠道微生态如何影响慢性便秘以及指导临床治疗。

关键词：微生态便秘胃肠动力短链脂肪酸小肠细菌过度生长有益菌种

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Boosting bidirectional sulfur conversion enabled by introducing boron-doped atoms and phosphorus vacancies in Ni2P for lithium-sulfur batteries

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Journal of Energy Chemistry 2025年第1期100卷 760-769页

作者： lin Peng yu Bai Hang Li Meixiu Qu Zhenhua Wang Kening Sun Advanced Research Institute of Multidisciplinary Science Beijing Institute of Technology Beijing Key Laboratory of Chemical Power Source and Green Catalysis School of Chemistry and Chemical Engineering Beijing Institute of Technology

Lithium-sulfur （Li-S） batteries have gained great attention due to the high theoretical energy density and low cost,yet their further commercialization has been obstructed by the notorious shuttle effect and sluggish redox ***,we supply a strategy to optimize the electron structure of Ni2P by concurrently introducing B-doped atoms and P vacancies in Ni2P （Vp-B-Ni2P）,thereby enhancing the bidirectional sulfur *** study indicates that the simultaneous introduction of B-doped atoms and P vacancies in Ni2P causes the redistribution of electron around Ni atoms,bringing about the upward shift of d-band center of Ni atoms and effective d-p orbital hybridization between Ni atoms and sulfur species,thus strengthening the chemical anchoring for lithium polysulfides （LiPSs） as well as expediting the bidirectional conversion kinetics of sulfur ***,theoretical calculations reveal that the incorporation of B-doped atoms and P vacancies in Ni2P selectively promotes Li2S dissolution and nucleation ***,the Li-S batteries with Vp-B-Ni2P-separators present outstanding rate ability of 777 m A h g-1at 5 C and high areal capacity of 8.03 mA h cm-2under E/S of 5μL mg-1and sulfur loading of 7.20 mg *** work elucidates that introducing heteroatom and vacancy in metal phosphide collaboratively regulates the electron structure to accelerate bidirectional sulfur conversion.

关键词： Lithium sulfur batteries

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主动配电网三相电压优化及校正控制方法

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电力自动化设备 2017年第1期37卷 35-40,46页

作者：董雷明捷蒲天骄于汀崔琳周建华华北电力大学新能源电力系统国家重点实验室北京102206 中国电力科学研究院北京100192 国网江苏省电力公司电力科学研究院江苏南京210036

研究主动配电网三相电压的优化与校正控制技术,提出了全网集中优化、局部协调校正的控制方法。在长时间尺度内,协调全网有功和无功资源,基于半定规划理论建立计及本支路相间互感的主动配电网三相电压优化的数学模型,实现全网优化控制。... 详细信息

研究主动配电网三相电压的优化与校正控制技术,提出了全网集中优化、局部协调校正的控制方法。在长时间尺度内,协调全网有功和无功资源,基于半定规划理论建立计及本支路相间互感的主动配电网三相电压优化的数学模型,实现全网优化控制。在短时间尺度内,利用电压相量对节点注入功率的三相灵敏度建立电压相量校正二次规划模型,实现电压相量校正控制。IEEE 33节点三相标准测试系统的仿真表明,全网优化控制能有效降低网损,局部校正控制能利用最小的功率调整量快速校正越限节点的电压幅值,并减少三相不平衡度。

关键词：三相电压主动配电网优化校正多时间尺度电压控制

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