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2017 IEEE International Conference on Industrial Technology, ICIT 2017

作者： Chuang, Ying-Chun Chuang, Hung-Shiang Yang, Chun-Hsiang Chen, Tien-Chi Department of Electrical Engineering Kun Shan University No. 195 Kun-Da Road Yong-Kang District Tainan City71003 Taiwan Guangdong-Taiwan College of Industrial Science and Technology Dongguan University of Technology No. 251 Xueyuan Road Guancheng District Dongguan Guangdong Province China Mechanical and System Research Laboratories Industrial Technology Research Institute No. 195 Sec. 4 Chung Hsing Road Chutung Hsinchu31040 Taiwan Department of Computer and Communication Kun Shan University No. 195 Kun-Da Road Yong-Kang District Tainan City71003 Taiwan

ISBN: (纸本)9781509053209

This work develops a novel single-switch current-fed series-parallel resonant converter for use in direct current (DC) energy conversion systems. The converter comprises a class-E inverter and a series-parallel resonant tank with a bridge rectifier. It uses a single active power switch to reduce the cost of the energy conversion system and control circuits. With a simple circuit configuration and few components, a highly efficient circuit is realized. Experimental data were obtained using a laboratory prototype with an input voltage of 30 V, an output voltage of 16.5 V, an output power of 15.13 W, and a switching frequency of 60 kHz. The measured prototype efficiency was 93.3 % under a full load. Accordingly, the novel converter has great potential for use in low-power DC energy conversion systems. © 2017 IEEE.

关键词： Energy conversion

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Salience-Default Mode Functional Network Connectivity Linked to Positive and Negative Symptoms of Schizophrenia (vol 45, pg 892, 2018)

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SCHIZOPHRENIA BULLETIN 2019年第6期45卷 1382-1382页

作者： Hare, Stephanie M. Neuroscience Institute Georgia State University Atlanta GA To whom correspondence should be addressed Neuroscience Institute Georgia State University PO Box 5030 Atlanta GA 30302-5030 USA tel: 262-364-7427 fax: 404-413-5446 e-mail: share1@student.gsu.edu Psychiatry Service San Francisco VA Medical Center San Francisco CA Department of Psychiatry University of California San Francisco CA Psychiatry Service San Francisco VA Medical Center San Francisco CA Department of Psychiatry University of California San Francisco CA The Mind Research Network Albuquerque NM Department of Psychiatry and Behavioral Sciences The University of New Mexico Albuquerque NM Department of Psychiatry University of North Carolina at Chapel Hill Chapel Hill NC Division of Computer Science and Engineering CAIIT Chonbuk National University Jeonju Republic of Korea Department of Psychiatry University of Minnesota Minneapolis MN Department of Psychiatry University of Minnesota Minneapolis MN Geriatric Research Education and Clinical Center (GRECC) Minneapolis VA Health Care System Minneapolis MN Department of Psychiatry School of Medicine University of California San Diego San Diego CA Department of Psychiatry and Human Behavior University of California Irvine Irvine CA Department of Psychiatry and Human Behavior University of California Irvine Irvine CA Department of Psychiatry and Human Behavior University of California Irvine Irvine CA The Mind Research Network Albuquerque NM Department of Electrical and Computer Engineering University of New Mexico Albuquerque NM Neuroscience Institute Georgia State University Atlanta GA The Mind Research Network Albuquerque NM Department of Psychology Georgia State University Atlanta GA

Schizophrenia is a complex, debilitating mental disorder characterized by wide-ranging symptoms including delusions, hallucinations (so-called positive symptoms), and impaired motor and speech/language production (so-called negative symptoms). Salience-monitoring theorists propose that abnormal functional communication between the salience network (SN) and default mode network (DMN) begets positive and negative symptoms of schizophrenia, yet prior studies have predominately reported links between disrupted SN/DMN functional communication and positive symptoms. It remains unclear whether disrupted SN/DMN functional communication explains (1) solely positive symptoms or (2) both positive and negative symptoms of schizophrenia. To address this question, we incorporate time-lag-shifted functional network connectivity (FNC) analyses that explored coherence of the resting-state functional magnetic resonance imaging signal of 3 networks (anterior DMN, posterior DMN, and SN) with fixed time lags introduced between network time series (1 TR = 2 s; 2 TR = 4 s). Multivariate linear regression analysis revealed that severity of disordered thought and attentional deficits were negatively associated with 2 TR-shifted FNC between anterior DMN and posterior DMN. Meanwhile, severity of flat affect and bizarre behavior were positively associated with 1 TR-shifted FNC between anterior DMN and SN. These results provide support favoring the hypothesis that lagged SN/DMN functional communication is associated with both positive and negative symptoms of schizophrenia.

关键词： ICA salience network default mode network positive symptoms negative symptoms resting-state fMRI

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Pmate: Pay More Attention to Edge Points in 3d Roof Wireframe Reconstruction

SSRN

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SSRN 2024年

作者： Hao, Qiaoqiao Liu, Yujun Huang, Shangfeng Han, Ting Zhu, Duxin Su, Jinhe Wu, Yundong Cai, Guorong Li, Jonathan School of Computer Engineering Jimei University Xiamen361000 China School of Geospatial Engineering and Science Sun Yat-Sen University Zhuhai519082 China School of Geospatial Engineering and Science University of Calgary CalgaryABT2N1N4 Canada The Department of Geography and Environmental Management University of Waterloo WaterlooONN2L 3G1 Canada Department of System Design Engineering University of Waterloo WaterlooONN2L 3G1 Canada

The reconstruction of 3D Roof Wireframe from airborne LiDAR point clouds have attracted increasing attention in 3D vision and photogrammetry. Despite the advancements of deep learning-based methods in reconstructing roof wireframes, existing methods lead to subpar corner recall and incomplete results due to the difficulty of fully harness spatial structural information. An important structural characteristic of wireframes is that corner points are highly likely to be situated within the convex hull formed by the edge points. Meanwhile, the edges themselves are essentially confined within this convex hull. This structural information has not been fully exploited. In this paper, we propose to pays more attention to the edge points (Pmate) in 3D Roof Wireframe Reconstruction. Specifically, we utilize the Spatial Structure Generation module to generate an edge-weight attention for each point, representing the proximity of the point to the edge. Moreover, we develop a hybrid edge detection module based on edge point, which enhanced the accuracy of edge detection. Extensive experiments on the Building3D dataset demonstrate the effectiveness of Pmate, which improves edge recall by 10% compared to previous state-of-the-art methods with comparable edge precision. The source code of our approach are publicly available in https://***/onescholar/Pmate. © 2024, The Authors. All rights reserved.

关键词： Roofs

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A new combination of message passing techniques for receiver design in MIMO-OFDM systems

arXiv

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arXiv 2017年

作者： Zhang, Chuanzong Yuan, Zhengdao Wang, Zhongyong Guo, Qinghua School of Information Engineering Zhengzhou University Zhengzhou450001 China Department of Electronic Systems Aalborg University Aalborg9220 Denmark National Digital Switching System Engineering and Technological Research and Development Center Zhengzhou Institute of Information Science and Technology Zhengzhou450001 China School of Information Engineering Zhengzhou University Zhengzhou450001 China School of Electrical Computer and Telecommunications Engineering University of Wollongong WollongongNSW2522 Australia School of Electrical Electronic and Computer Engineering University of Western Australia CrawleyWA6009 Australia

In this paper, we propose a new combined message passing algorithm which allows belief propagation (BP) and mean filed (MF) applied on a same factor node, so that MF can be applied to hard constraint factors. Based on the proposed message passing algorithm, a iterative receiver is designed for MIMO-OFDM systems. Both BP and MF are exploited to deal with the hard constraint factor nodes involving the multiplication of channel coefficients and data symbols to reduce the complexity of the only BP used. The numerical results show that the BER performance of the proposed low complexity receiver closely approach that of the state-of-the-art receiver, where only BP is used to handled the hard constraint factors, in the high SNRs. Copyright © 2017, The Authors. All rights reserved.

关键词： Belief propagation

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Preprocessing Techniques for Enhancing Vision-Based Detection system for Tire Sidewall Extraction

Preprocessing Techniques for Enhancing Vision-Based Detectio...

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International Seminar on Research of Information Technology and Intelligent systems (ISRITI)

作者： Jia Hao Loo Veronica Lestari Jauw Chin Seong Lim Khairul-Rijal Sarmin Nunung Nurul Qomariyah Ahmad Nurul Fajar Department of Mechanical Materials and Manufacturing Engineering University of Nottingham Malaysia Malaysia Continental Tyre Technology Centre Malaysia Petaling Jaya Malaysia Computer Science Department School of Computing and Creative Arts Bina Nusantara University Jakarta Indonesia Information System Management Department BINUS Graduate Program-Master Information Systems Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798331519643

ISBN: (纸本)9798331519650

This study aims to develop a system for extracting crucial information from tire sidewalls using Optical Character Recognition (OCR). Initially, images of tire were captured manually by smartphone cameras, including Redmi 9T, iPhone 11, and Galaxy S23 Ultra. The captured images are then transferred to a computer for storage. Subsequently, these images were cropped according to the boundaries identified by Hough Circle Transform (HCT). The cropped images were then further pre-processed. During the pre-processing phase, geometrical transformation and image sharpening techniques are applied to enhance the clarity and readability of the text images. The text is then extracted using Google Vision, with the extracted text categorized by size, DOT, brand and pattern. The results indicated that the effectiveness of image pre-processing was constrained by the accuracy of circle detection, which reached a maximum rate of 87.1%. This causes parts of the text to be cut out inaccurately, leading to a suboptimal extraction accuracy of 55.65%. It is also observed that the Redmi 9T camera produced inconsistent results compared to other devices. Specifically, the iPhone 11 and Samsung Galaxy S23 Ultra demonstrated superior extraction accuracies of 69.71% and 66.37%, respectively, whereas the Redmi 9T achieved a lower extraction accuracy of 37.76%.

关键词： Accuracy Optical character recognition Text categorization Lighting Transforms US department of Transportation Cameras Tires Internet Data mining

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The 2021-2024 Winter Precipitation Ground Validation Field Campaign at The University of Connecticut

The 2021-2024 Winter Precipitation Ground Validation Field C...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Diego Cerrai Brian Filipiak Aaron Spaulding David B. Wolff Ali Tokay Charles N. Helms Adrian M. Loftus Alexey V. Chibisov Carl Schirtzinger Larry Bliven Charanjit S. Pabla Mick J. Boulanger EunYeol Kim Hein Thant Francesc Junyent Venkatachalam Chandrasekar Branislav Notaros Gustavo B. H. De Azevedo Department of Civil and Environmental Engineering University of Connecticut Eversource Energy Center University of Connecticut Department of Civil and Environmental Engineering Princeton University NASA Goddard Space Flight Center Wallops Flight Facility Wallops Island Virginia Goddard Earth Sciences Technology and Research University of Maryland Baltimore County NASA Goddard Space Flight Center Greenbelt Maryland Earth System Science Interdisciplinary Center University of Maryland Science Systems and Applications Inc. Lanham Maryland Department of Electrical and Computer Engineering Colorado State University Department of Mechanical & Aero-Space Engineering Oklahoma State University

ISBN: (数字)9798350360325

ISBN: (纸本)9798350360332

During three consecutive winter seasons, between December 2021 and April 2024, several ground-based wintry precipitation measurement instruments were deployed at the University of Connecticut’s main campus. The instruments included an assortment of K-band and W-band profiling radars and Ka-Ku band scanning radars, weighing, and tipping bucket pluviometers, laser disdrometers, high-speed and high-resolution cameras for quantitative precipitation measurement, weather stations, and an unmanned aircraft system for environmental variables. The goal of this field campaign is to provide a dataset for validating NASA Global Precipitation Measurement (GPM) products, and to examine the error characteristics of co-located ground-based instruments. In this manuscript, we present the instrument suite and discuss possible uses of this unique set of measurements for remote sensing applications.

关键词： Weight measurement Meteorological radar Precipitation Laser radar Radar measurements Instruments Airborne radar

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Multimodal Chain-of-Thought Reasoning via ChatGPT to Protect Children from Age-Inappropriate Apps

arXiv

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arXiv 2024年

作者： Hu, Chuanbo Liu, Bin Yin, Minglei Zhou, Yilu Li, Xin Department of Computer Science University at Albany 1400 Washington Ave AlbanyNY12222 United States Department of Management Information System West Virginia University 83 Beechurst Avenue MorgantownWV26506-6025 United States Lane Department of Computer Science and Electrical Engineering West Virginia University 1220 Evansdale Drive MorgantownWV26506-6025 United States Department of Information Technology and Operations Fordham University 140 W. 62nd Street New YorkNY10023 United States

Mobile applications (Apps) could expose children to inappropriate themes such as sexual content, violence, and drug use. Maturity rating offers a quick and effective method for potential users, particularly guardians, to assess the maturity levels of apps. Determining accurate maturity ratings for mobile apps is essential to protect children’s health in today’s saturated digital marketplace. Existing approaches to maturity rating are either inaccurate (e.g., self-reported rating by developers) or costly (e.g., manual examination). In the literature, there are few text-mining-based approaches to maturity rating. However, each app typically involves multiple modalities, namely app description in the text, and screenshots in the image. In this paper, we present a framework for determining app maturity levels that utilize multimodal large language models (MLLMs), specifically ChatGPT-4 Vision. Powered by Chain-of-Thought (CoT) reasoning, our framework systematically leverages ChatGPT-4 to process multimodal app data (i.e., textual descriptions and screenshots) and guide the MLLM model through a step-by-step reasoning pathway from initial content analysis to final maturity rating determination. As a result, through explicitly incorporating CoT reasoning, our framework enables ChatGPT to understand better and apply maturity policies to facilitate maturity rating. Experimental results indicate that the proposed method outperforms all baseline models and other fusion strategies. Copyright © 2024, The Authors. All rights reserved.

关键词： Computational linguistics

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Free-space creation of ultralong anti-diffracting light beam with multiple energy oscillations adjusted using ‘optical pen’

arXiv

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arXiv 2017年

作者： Weng, Xiaoyu Song, Qiang Li, Xiaoming Gao, Xiumin Guo, Hanming Qu, Junle Zhuang, Songlin Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province College of Optoelectronic Engineering Shenzhen University Shenzhen518060 China Engineering Research Center of Optical Instrument and System Ministry of Education Shanghai Key Lab of Modern Optical System School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology 516 Jungong Road Shanghai200093 China Optics Department Telecom Bretagne Institut Mines-Telecom CS83818 Brest Cedex 0329238 France

A light beam propagating with an infinite anti-diffracting distance requires infinite power to preserve its shape. However, the fundamental barrier of finite power in free space has made the problem of diffraction insurmountable over the past few decades. Here, to overcome this limitation, we report an approach that employs the multiple energy oscillation mechanism, thereby permitting the creation of a light beam with an ultralong anti-diffracting distance in free space. The anti-diffracting distance is no longer restricted by finite power in free space but instead depends on the number of energy oscillations. This unprecedented propagation behavior is attributed to a new understanding of non-diffractive light beam: when an anti-diffracting light beam completely discharges its energy, it cannot recharge again. A versatile ‘optical pen’ is therefore developed to manipulate the number, amplitude, position and phase of energy oscillations for an arbitrary numerical aperture of a focusing lens so that energy recharge can occur in free space and multiple energy oscillations can be realized. A light beam with a tunable number of energy oscillations is eventually generated in free space and propagates along a wavy trajectory. This work will enable extending non-diffractive light beams to an expanded realm and facilitate extensive developments in optics and other research fields, such as electronics and acoustics. Copyright © 2017, The Authors. All rights reserved.

关键词： Lenses

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Range estimation of floating-point variables in Simulink models

Range estimation of floating-point variables in Simulink mod...

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Conference on Design and Architectures for Signal and Image Processing

作者： Alexandre Chapoutot Laurent-Stéphane Didier Fanny Villers Department of Computer Science and System Engineering ENSTA ParisTech France Laboratoire dinformatique de Paris 6 (LIP6) Université Pierre et Marie Curie France Laboratoire de probabilité et modèles aléatoires (LPMA) Université Pierre et Marie Curie France

Fixed-point arithmetic is widely used in embedded applications because it allows to build compact, fast and low-power application-specific integrated circuits designs. Practically, many of them are designed using model-based design tool such as Matlab/Simulink which allow simulations in floating-point representations. From such a high level simulable model, embedded system designers have to size the proper fixed-point representation. Thus, the challenge is to transform floating-point algorithms into numerical equivalent fixed-point programs. As software increases in complexity and both arithmetics do not have the same behaviors, designers need tools to help them in this task. In this article, we present a new statistical method based on Extreme Value Theory to estimate the dynamic range of program variables. We show that this model fits better than Gumbel model to the range estimation in digital signal processing applications both for linear and nonlinear systems. We present several experiments to illustrate the practical use of our approach. We show few simulations are required in order to estimate the bit-width of the bound of the range.

关键词： Software packages Computational modeling Estimation Numerical models Mathematical model Random variables Manganese

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A Pricing Rule for Third-Party Platoon Coordination Service Provider

A Pricing Rule for Third-Party Platoon Coordination Service ...

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Asian Control Conference

作者： Ting Bai Alexander Johansson Shaoyuan Li Karl Henrik Johansson Jonas Må rtensson Integrated Transport Research Lab Digital Futures and Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden Department of Automation Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Jiao Tong University Shanghai China

We model a platooning system including trucks and a third-party service provider that performs platoon coordination, distributes the platooning profit within platoons, and charges the trucks in exchange for its services. This paper studies one class of pricing rules, where the third-party service provider keeps part of the platooning profit each time a platoon is formed. Furthermore, we propose a platoon coordination solution based on distributed model predictive control in which the pricing rule is integrated. To evaluate the effect of the pricing on the platooning system, we perform a simulation over the Swedish road network. The simulation shows that the platooning rate and profit highly depend on the pricing. This suggests that pricing needs to be set carefully to obtain a satisfactory platooning system in the future.

关键词： Roads Pricing Predictive control

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