检索结果-内蒙古大学图书馆

Asia-Pacific Symposium on Electromagnetic Compatibility (APEMC)

作者： Yeu-Torng Yau Thanh-phu Luu Department of Ph.D. Program Prospective Technology of Electrical Engineering and Computer Science National Chin-Yi University of Technology Taichung Taiwan Department of Electrical Engineering National Chin-Yi University of Technology Taichung Taiwan

ISBN: (数字)9784885523472

ISBN: (纸本)9798350349498

AC-dC converters almost always require common-mode (CM) filters to restrict conducting their electromagnetic interference (EMI) emissions to the power grid and ensure compliance with EMI certification requirements. These CM filters, which are based on the well-known LC lowpass filter, are typically bulky and expensive. Hence, a method for passive $\mathbf{C M}$ current cancellation using a nonlinear model is proposed herein. This method is entirely composed of passive components and offers advantages in terms of cost and system reliability. Compared to conventional passive LC filters, the number of magnetic components remains unchanged. This study proposes the derivation of a nonlinear model to estimate the filter performance using measured data from an actual CM choke; however, the proposed method does not require the mathematical model of a CM choke.

关键词： Magnetic separation Electromagnetic interference Low-pass filters Electromagnetic compatibility Noise cancellation Mathematical models Power grids

来源：评论

学校读者我要写书评

暂无评论

Cuisine Image Recognition and Recommender System using Convolutional Neural Network 5

Cuisine Image Recognition and Recommender System using Convo...

引用

5th IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2023

作者： Chang, Chin-Chih Wei, Chi-Hung Wu, Kuan-Yun Kao, Hao-Xiang Hsiao, Sean Chung Hua University Department of Computer Science and Information Engineering Hsinchu Taiwan Chung Hua University Ph.D. Program in Engineering Science Hsinchu Taiwan National Kaohsiung University of Science and Technology Department of Computer Science and Information Engineering Kaohsiung Taiwan Chung Hua University Program of Applied Foreign Language and Smart Commerce Hsinchu Taiwan

ISBN: (纸本)9798350314694

The fusion of technology and culinary exploration has allowed for the emergence of advanced online customer service systems. We developed a novel approach to enhance the dining experience. We used a Cuisine Image Recognition and Recommender System (CIRRS) powered by Convolutional Neural Network (CNN) to identify and suggest diverse cuisines based on visual inputs. CIRRS swiftly identified diverse cuisines from user-captured images, offering information on origin, ingredients, and variations by crawling websites. The system enhanced dining experiences by suggesting personalized menus based on individual preferences and past selections. Extensively tested across various culinary genres, CIRRS consistently demonstrated accuracy and adaptability. User feedback validated its potential to simplify dining choices and elevate satisfaction. This innovative system enriched dining experiences as a valuable tool for culinary enthusiasts, chefs, and restaurateurs, bridging the gap between technology and gastronomy, It also offers a unique way to explore Taiwanese cuisines. © 2023 IEEE.

关键词： convolutional neural network (CNN) deep learning image recognition recommender system web crawler

来源：评论

学校读者我要写书评

暂无评论

Cost-Efficient Snubbers for Boost Converters

Cost-Efficient Snubbers for Boost Converters

引用

Asia-Pacific Symposium on Electromagnetic Compatibility (APEMC)

作者： Yeu-Torng Yau Thanh-phu. Luu Department of Ph.D. Program Prospective Technology of Electrical Engineering and Computer Science National Chin-Yi University of Technology Taichung Taiwan Department of Electrical Engineering National Chin-Yi University of Technology Taichung Taiwan

ISBN: (数字)9784885523472

ISBN: (纸本)9798350349498

Conventional boost converters operating with hard-switching result in low conversion efficiency and increased electromagnetic interference emissions. In this paper, a cost-efficient passive snubber is proposed with a few additional components: two diodes, one capacitor, and one inductor. Moreover, because these snubber components are not located on the main power processing path, they only require low ratings, resulting in improved cost-effectiveness.

关键词： Snubbers Electromagnetic interference Capacitors Switches Electromagnetic compatibility Inductors

来源：评论

学校读者我要写书评

暂无评论

Integration of a Microfluidics System With a U-Shaped Optical Fiber Sensor for Sensing Various Concentrations of Glucose

引用

IEEE Sensors Journal 2024年第13期24卷 20617-20628页

作者： Hsiang-Cheng Hsu Tien-Bao Tran Thi Thuy-Vy Nguyen Hoang-dang Le Chia-Chin Chiang Department of Ph.D. Program in Maritime Science and Technology College of Maritime National Kaohsiung University of Science and Technology Kaohsiung Taiwan Department of Mechanical Engineering National Kaohsiung University of Science and Technology Kaohsiung Taiwan College of Engineering Can Tho University Ninh Kieu Can Tho Vietnam

This study introduces a successfully manufactured U-shaped optical fiber sensor integrated with a microfluidics system to detect varying glucose concentrations. It outlines the fabrication process of the microfluidics system, accomplished using a CO2 laser on polymethyl methacrylate (PMMA) material. Through three cycles of experiments involving different glucose concentrations, the results indicate a consistent trend in both resonance wavelength and transmission loss, showing an increase as glucose concentration rises from 5% to 50%. The system demonstrates a high wavelength sensitivity coefficient of 0.114 nm/% with ${R}^{{2}} =0.95$ and a notable transmission loss sensitivity of 0.09 dB/% and ${R}^{{2}} =0.94$ . This advanced system proves to be effective in achieving rapid, sensitive, and cost-efficient glucose monitoring. Consequently, the microfluidics system is deemed suitable for its intended purpose.

关键词： Microfluidics Glucose Optical fiber sensors Sensors Sensitivity Claddings Viscosity

来源：评论

学校读者我要写书评

暂无评论

A High-step-down Converter with Negative Output Voltage

A High-step-down Converter with Negative Output Voltage

引用

International Conference on Power Electronics (ICPE)

作者： Yeu-Torng. Yau Thanh-phu. Luu Ph.D. Program PTOEECS National Chin-Yi University of Technology Taichung Taiwan Department of Electrical Engineering National Chin-Yuuuuuuui University of Technology Taichung Taiwan

This paper proposes a new high step-down converter with negative voltage output, which has the following advantages: (1) Compared to conventional buck-boost or SEPIC converters, the proposed converter operates with zero voltage turn-on function. (2) The voltage gain of this circuit does not contain non-linear components, and the control is simple and can be driven by existing buck control ICs. (3) due to the dC blocking capacitor between the output and input terminals, the high voltage at the input will not pass through to the output when the converter fails to be controlled. The load is protected. Finally, a prototype is completed and the proposed method is verified to be feasible.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Fog and rain water chemistry in a tea plantation of northern Taiwan

引用

Environmental Science and Pollution Research 2023年第42期30卷 96474-96485页

作者： Wang, Yi-Tzu Lin, Neng-Huei Chang, Chung-Te Huang, Jr-Chuan Lin, Teng-Chiu Department of Life Science National Taiwan Normal University Taipei11677 Taiwan Department of Atmospheric Sciences National Central University Taoyuan32001 Taiwan Center for Environmental Monitoring Technology National Central University Taoyuan32001 Taiwan –Ph.D. Program on Biodiversity Tunghai University Taichung407224 Taiwan Department of Life Science Tunghai University Taichung407224 Taiwan Department of Geography National Taiwan University Taipei10617 Taiwan

Tea plantations are expanding globally and many are in mountainous areas with frequent fog but few studies have examined fog chemistry in these areas. We examined chemical composition of fog and rain water at a tea plantation in northern Taiwan. Fog water was collected using a Kroneis passive cylindrical fog-water collector and rain water was collected using a 20-cm-diameter funnel. The most abundant ions were Cl− and Na+ in both fog and rain waters due to the proximity of the site to the coast. The order of abundance of other ions was NO3− > Mg2+ > SO42− > Ca2+ > NH4+ > K+ > H+ in fog water and SO42− > K+ > NO3− > NH4+ > Ca2+ > Mg2+ > H+ in rain water. The concentration enrichment ratio (fog to rain) ranged between 2.2 (K+) and 22 (Mg2+) lying between sites near major emission sources and sites in remote areas, possibly because the immediate surrounding landscape is covered with secondary forests although it is near large cities. Factor analysis highlights the influences of sea-salt aerosols on the variation of fog and rain water chemistry. Sea-salt corrections using Na+ as the sea salt tracer led to negative concentrations of Cl− and Mg2+ suggesting that assumptions involved in sea-salt corrections were not satisfied. Agriculture influence is identified as a unique factor for explaining variance of K+, NH4+, and dissolved organic nitrogen (dON) concentrations in fog water but not rain water. Ion concentrations in fog and rain water were generally higher in the weekly samples associated with air trajectories passing through the continental East Asia than those associated with oceanic trajectories pointing to the role of regional pollution sources in affecting local fog and rain water chemistry. Our study highlights greater effects of tea agriculture on fog than rain water chemistry. © 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Ions

来源：评论

学校读者我要写书评

暂无评论

The Application of IoT Cross-Media Q&A System in an Astronomy and Art Festival

The Application of IoT Cross-Media Q&A System in an Astronom...

引用

IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Shih-Ta Liu Su-Chu Hsu International Intercollegiate Ph.D. Program National Tsing Hua University Hsinchu City Taiwan Research Center for Technology and Art National Tsing Hua University Hsinchu City Taiwan

ISBN: (数字)9798350386844

ISBN: (纸本)9798350386851

In this study, we proposed an IoT Cross-Media Q&A system based on our previous IoT R&d results and combined with social media’s motivational effect to apply to the "Cosmic Ripples of the Astronomy and Art Festival" in 2022. We organized six major themed exhibition zones and designed the exhibition content into an interactive Q&A system. Participants used their mobile phones to "scoop up" questions in each exhibition zone and answer them, and then finally "pour in" the scores into the learning achievement reward zone. We integrated Facebook into public results and gave the rewards. This learning method, which involves answering questions while observing, enhances the audience's engagement and learning outcomes at the exhibition. We found our system is well-suited for Project-Based Learning, and we not only applied it in public spaces but also stimulated the effectiveness of mass learning. In the future, we hope our system can be applied in more themed exhibition spaces.

关键词： Learning systems Art Social networking (online) Aerospace electronics Mobile handsets Astronomy Research and development

来源：评论

学校读者我要写书评

暂无评论

POST-CLASSIFICATION ENHANCEMENT IN THE RESULT OF dEEP LEARNING LANd COVER CLASSIFICATION USING VERY-HIGH RESOLUTION SATELLITE IMAGERY 44

POST-CLASSIFICATION ENHANCEMENT IN THE RESULT OF DEEP LEARNI...

引用

44th Asian Conference on Remote Sensing, ACRS 2023

作者： Hakim, Yofri Furqani Tsai, Fuan International Ph.D. Program in Environmental Science and Technology National Central University No. 300 Zhongda Rd. Zhongli District Taoyuan City32001 Taiwan Center for Space and Remote Sensing Research National Central University No. 300 Zhongda Rd. Zhongli District Taoyuan City32001 Taiwan

ISBN: (纸本)9781713893646

Land cover is one of the fundamental data utilized in spatial analysis for a range of applications, including climate, environment, natural resources, agriculture, forestry, planning, health, and even social issues. The demand for land cover data is diverse, ranging from global scale, regional scale, and detailed scale. Furthermore, data updates also become a necessity for users. The current trend is the requirement for more accurate and up-to-date land cover data. The growing demand for accurate and up-to-date land cover data is in sync with improvements in satellite imagery data acquisition technology, which now offers improved spatial resolution and more effective satellite imagery data processing. Satellite imagery data processing technology is also growing rapidly with the advance of artificial intelligence for semantic classification or segmentation. This research uses a deep learning approach to classify land cover on Pleiades very high-resolution satellite imagery. A post-classification enhancement is also carried out to improve the consistency and accuracy of the deep learning classification results. The preliminary research results show that post-classification enhancement with the algorithms proposed in this study can increase the accuracy of classification results using deep learning-based approaches by approximately 2%. The original Overall Accuracy and Kappa of the deep learning classification results were 0.84 and 0.79. After the post-classification enhancement process, the Overall Accuracy and Kappa values increased to 0.86 and 0.81. © 2023 ACRS. All Rights Reserved.

关键词： deep Learning Image Morphology Land Cover Classification Post-Classification Enhancement Semantic Segmentation U-Net

来源：评论

学校读者我要写书评

暂无评论

Small-Molecule Analysis Based on dNA Strand displacement Using a Bacteriorhodopsin photoelectric Transducer: Taking ATP as an Example

引用

Sensors 2023年第17期23卷 7453-7453页

作者： Chen, Hsiu-Mei Wang, Wen-Chang Chen, Hong-Ren Department of Chemical Engineering National Taiwan University of Science and Technology Taipei10607 Taiwan The Ph.D. Program for Translational Medicine College of Medical Science and Technology Taipei Medical University Taipei11031 Taiwan

A uniformly oriented purple membrane (PM) monolayer containing photoactive bacteriorhodopsin has recently been applied as a sensitive photoelectric transducer to assay color proteins and microbes quantitatively. This study extends its application to detecting small molecules, using adenosine triphosphate (ATP) as an example. A reverse detection method is used, which employs AuNPs labeling and specific dNA strand displacement. A PM monolayer-coated electrode is first covalently conjugated with an ATP-specific nucleic acid aptamer and then hybridized with another gold nanoparticle-labeled nucleic acid strand with a sequence that is partially complementary to the ATP aptamer, in order to significantly minimize the photocurrent that is generated by the PM. The resulting ATP-sensing chip restores its photocurrent production in the presence of ATP, and the photocurrent recovers more effectively as the ATP concentration increases. direct and single-step ATP detection is achieved in 15 min, with detection limits of 5 nM and a dynamic range of 5 nM–0.1 mM. The sensing chip exhibits high selectivity against other ATP analogs and is satisfactorily stable in storage. The ATP-sensing chip is used to assay bacterial populations and achieves a detection limit for Bacillus subtilis and Escherichia coli of 102 and 103 CFU/mL, respectively. The demonstration shows that a variety of small molecules can be simultaneously quantified using PM-based biosensors. © 2023 by the authors.

关键词： photocurrents

来源：评论

学校读者我要写书评

暂无评论

Colorectal Polyp detection and Classification using deep Learning Techniques

Colorectal Polyp Detection and Classification using Deep Lea...

引用

IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Yao-Tien Chen Nisar Ahmad Chi-Che Hong M. david Honesty International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City Taiwan Department of Mechanical Engineering Ming Chi University of Technology New Taipei City Taiwan

ISBN: (数字)9798350386844

ISBN: (纸本)9798350386851

According to recent studies, colorectal cancer is one of the leading causes of death these days. Colorectal polyps are irregular formation of tissues that lead to colorectal cancer. Conventional methods are not sufficient to properly detect colorectal cancer in the early stages. Therefore, an efficient method is inevitable to detect and classify colorectal polyps in the early stage. In recent years, deep learning-based methods have been proposed, but there is still a need for improvement to make these methods more efficient. In this study, we have made a detailed comparison of the latest methods based on their computations and performance to propose an efficient model for real-time polyp detection. The comparison is made between deep learning based on three computation strategies: Edge Computing, General Purpose, and High Computing, using a custom colorectal dataset from a hospital. Similarly, data augmentation is also applied to analyse the performance of the mentioned techniques. We expect this study to provide insight into selecting an efficient method that would play a significant role in real-time polyp detection and classification to ensure invaluable medical aid.

关键词： deep learning Training Learning systems Hospitals Computational modeling Colorectal cancer data augmentation

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：