检索结果-内蒙古大学图书馆

2023 IEEE/CVF Conference on computer Vision and Pattern Recognition Workshops, CVPRW 2023

作者： Li, Yawei Zhang, Yulun Timofte, Radu Van Gool, Luc Yu, Lei Li, Youwei Li, Xinpeng Jiang, Ting Wu, Qi Han, Mingyan Lin, Wenjie Jiang, Chengzhi Luo, Jinting Fan, Haoqiang Liu, Shuaicheng Wang, Yucong Cai, Minjie Li, Mingxi Zhang, Yuhang Fan, Xian-Jun Sheng, Yankai Mao, Yanyu Zhang, Nihao Wang, Qian Zheng, Mingjun Sun, Long Pan, Jinshan Dong, Jiangxin Tang, Jinhui Yang, Zhongbao Wang, Yan Pan, Erlin Cai, Qixuan Dai, Xinan Zhussip, Magauiya Kalyazin, Nikolay Vyal, Dmitry Zou, Xueyi Yan, Youliang Chung, Heaseo Zhang, Jin Yu, Gaocheng Zhang, Feng Wang, Hongbin Liao, Bohao Du, Zhibo Wu, Yu-Liang Shi, Gege Peng, Long Wang, Yang Cao, Yang Zha, Zhengjun Huang, Zhi-Kai Chen, Yi-Chung Chiang, Yuan-Chun Yang, Hao-Hsiang Chen, Wei-Ting Chang, Hua-En Chen, I-Hsiang Hsieh, Chia-Hsuan Kuo, Sy-Yen Liu, Xin Pan, Jiahao Yu, Hongyuan Yu, Weichen Ge, Lin Dong, Jiahua Zou, Yajun Wu, Zhuoyuan Han, Binnan Zhang, Xiaolin Zhang, Heng Yin, Xuanwu Zuo, Kunlong Deng, Weijian Yuan, Hongjie Lu, Zengtong Ouyang, Mingyu Ma, Wenzhuo Liu, Nian Zheng, Hanyou Zhang, Yuantong Zhang, Junxi Chen, Zhenzhong Gendy, Garas Sabor, Nabil Hou, Jingchao He, Guanghui Zhu, Yurui Wang, Xi Fu, Xueyang Zha, Zheng-Jun Yin, Daheng Liu, Mengyang Chen, Baijun Li, Ao Luo, Lei Jin, Kangjun Zhu, Ce Zhang, Xiaoming Xie, Chengxing Li, Linze Meng, Haiteng Zhang, Tianlin Li, Tianrui Zhao, Xiaole Zhang, Zhao Li, Baiang Zheng, Huan Zhao, Suiyi Gao, Yangcheng Ren, Jiahuan Hu, Kang Shi, Jingpeng Wu, Zhijian Huang, Dingjiang Zhu, Jinchen Li, Hui Xv, Qianru Liu, Tianle Weng, Shizhuang Wu, Gang Jiang, Junpeng Liu, Xianming Jiang, Junjun Zhang, Mingjian Hu, Jing Wu, Chengxu Fan, Qinrui Feng, Chengming Luo, Ziwei Hu, Shu Lyu, Siwei Wu, Xi Wang, Xin Computer Vision Lab ETH Zurich Switzerland Computer Vision Lab University of Würzburg Germany Megvii Technology China MicroBT China College of Computer Science and Electronic Engineering Hunan University China Attrsense Xian University of Posts and Telecommunications Xi'an China National Engineering Laboratory for Cyber Event Warning and Control Technologies China Nanjing University of Science and Technology China Nankai University China University of Electronic Science and Technology of China China Tianjin University China Noah's Ark Lab Huawei Technologies McMaster University Canada Espresomedia Korea Republic of AntGroup China University of Science and Technology of China China Department of Electrical Engineering National Taiwan University Taiwan Graduate Institute of Communication Engineering National Taiwan University Taiwan Graduate Institute of Electronics Engineering National Taiwan University Taiwan ServiceNow United States China Mobile Research Institute China Chongqing University of Technology China Multimedia Department Xiaomi Inc. China Institute of Automation Chinese Academy of Sciences China Shenyang Institute of Automation Chinese Academy of Sciences China School of Information and Communication Engineering Communication University of China China Smart Classroom Division Ruijie Networks Co. Ltd. China School of Remote Sensing and Information Engineering Wuhan University China Micro-Nano Electronics Department Shanghai Jiao Tong University Shanghai200240 China Electrical Engineering Department Faculty of Engineering Assiut University Assiut71516 Egypt Southeast University China University of Electronic Science and Technology of China Chengdu China Chongqing University of Posts and Telecommunications Chongqing China Information Technology Co. Ltd Hangzhou China Southwest Jiaotong University China National Space Science Center Chinese Academy of Science China Hefei University of Technology Hefei China Anhui University China Fried Ric

ISBN: (纸本)9798350302493

This paper reviews the NTIRE 2023 challenge on efficient single-image super-resolution with a focus on the proposed solutions and results. The aim of this challenge is to devise a network that reduces one or several aspects such as runtime, parameters, FLOPs, activations, memory footprint, and depth of RFDN while at least maintaining the PSNR of 29.00dB on DIV2K validation datasets. The challenge had 272 registered participants, and 35 teams made valid submissions. They gauge the state-of-the-art for efficient single-image super-resolution. © 2023 IEEE.

关键词： Optical resolving power

来源：评论

学校读者我要写书评

暂无评论

Adapting a Self-Supervised Speech Representation for Noisy Speech Emotion Recognition by Using Contrastive Teacher-Student Learning

Adapting a Self-Supervised Speech Representation for Noisy S...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Seong-Gyun Leem Daniel Fulford Jukka-Pekka Onnela David Gard Carlos Busso Department of Electrical and Computer Engineering The University of Texas at Dallas Occupational Therapy and Psychological & Brain Sciences Boston University Department of Biostatistics Harvard T.H. Chan School of Public Health Harvard University Psychology Department San Francisco State University

Studies have shown high performance in the speech emotion recognition (SER) task by fine-tuning a self-supervised speech representation model. Although this model can provide emotionally discriminative embedding in clean conditions, adapting it to a noisy target environment is still required when deployed on real-world applications. For adaptation, it is essential to balance between acquiring new knowledge from noisy speech and keeping the previous knowledge acquired during the pre-training and fine-tuning of the model. Therefore, we propose a contrastive teacher-student learning framework to retrain a self-supervised speech representation model for noisy SER. To keep the knowledge of the original model, we minimize the root mean square error between the clean embeddings from the original SER model and the noisy embeddings from the retrained model. To acquire the discriminative knowledge in the target noisy condition, we also minimize the InfoNCE loss by selecting the corresponding clean embedding as a positive sample and other noisy embeddings with different emotional labels as negative samples. Our experiment with the clean and noisy version of the MSP-Podcast corpus demonstrates that the contrastive teacher-student learning framework can significantly improve the performance of the model only trained with the clean speech in the target noisy condition for all the emotional attributes.

关键词： Adaptation models Emotion recognition Transfer learning Speech recognition Recording Noise measurement Speech processing

来源：评论

学校读者我要写书评

暂无评论

Dynamic Load Frequency Control for Small Signal Stability Analysis in Steam Plant with Reheater

Dynamic Load Frequency Control for Small Signal Stability An...

引用

International Symposium on Intelligent Systems and Informatics (SISY)

作者： Ghazanfar Shahgholian Arman Fathollahi Amirhosein Mosavi Smart Microgrid Research Center Najafabad Branch Islamic Azad University Najafabad Iran Department of Electrical and Computer Engineering Aarhus University Aarhus Denmark John von Neumann Faculty of Informatics Budapest Hungary Ludovika University of Public Service Budapest Hungary

Steam energy plants are the fundamental source of electricity in the world, which has a large share of renewable energy. Load changes impact the frequency of electrical networks. Frequency stabilization is very important based on the boosting influence of renewable power sources in energy systems. The main task of load frequency control is to keep the system frequency according to the determined nominal value and to maintain the correct amount of exchange energy between the control areas. Maintaining the output power and actual frequency of the interconnected energy system and controlling the variation in power along the connection link between control areas are the central objectives of load frequency control (LFC). In this work, the purpose is to analyze and investigate load frequency control in a two-area energy system. Each area contains a steam turbine with a reheater. The system equations are expressed in state space and analyzed in MATLAB software. The simulation outcomes demonstrate the impact of changes in the gain parameters of the equivalent power system model and high-pressure coefficient in an area.

关键词：

来源：评论

学校读者我要写书评

暂无评论

High-Resolution Hydrogen Molecule Detection Utilizing a Nanocandle-Based Optical Sensor

High-Resolution Hydrogen Molecule Detection Utilizing a Nano...

引用

Pacific Rim Conference on Lasers and Electro-Optics (CLEO/Pacific Rim)

作者： Nu-Ri Park Min-Joong Kim Jongsu Lee Minah Seo Yong-Sang Ryu Myung-Ki Kim KU-KIST Graduate School of Converging Science and Technology Korea University Seoul Republic of Korea Sensor System Research Center Korea Institute of Science and Technology Seoul Republic of Korea Department of Electrical Engineering and Computer Science Northwestern University Evanston IL USA School of Biomedical Engineering Korea University Seoul Republic of Korea Interdisciplinary Program in Precision Public Health Korea University Seoul Republic of Korea

Our research introduces a novel method for safe hydrogen detection. We've developed an advanced nano-candle sensor, combining Pd with nano-candles, enabling accurate detection of low-concentration hydrogen (<3%... 详细信息

ISBN: (数字)9798350372076

ISBN: (纸本)9798350372083

关键词： Electric potential Accuracy Hydrogen Lasers and electrooptics Optical sensors Electro-optical waveguides

来源：评论

学校读者我要写书评

暂无评论

Design and Implementation of Charging Circuit for Energy Storage System in Multi-Input Non-Isolated Converter with High Gain

Design and Implementation of Charging Circuit for Energy Sto...

引用

IEEE International Conference on Intelligent engineering Systems (INES)

作者： Donya Taheri Ghazanfar Shahgholian Mohammad Mehdi Mirtalaei Amirhosein Mosavi Arman Fathollahi Annamaria Varkonyi-Koczy Department of Electrical Engineering Najafabad Branch Islamic Azad University Najafabad Iran Smart Microgrid Research Center Najafabad Branch Islamic Azad University Najafabad Iran John von Neumann Faculty of Informatics Budapest Hungary University of Public Service Budapest Hungary Department of Electrical and Computer Engineering Aarhus University Aarhus Denmark John von Neumann Faculty of Informatics Obuda University Budapest Hungary

In this study, the topology of a multi-input high-gain non-isolated power converter is suggested. Within this converter, techniques involving voltage multiplier cells and a coupling inductor are utilized. It is possible to use switches that have low voltage stress and, as a result, low conductivity by combining these two methodologies. For applications dealing with clean energy, like green electrical power for public hospitals and etc., that consider a specific type of energy storage system, this particular configuration is an excellent choice. First, the charging performance of the energy storage system is explained, and then, for the design of the multi-input non-isolated power converter with a high voltage gain, the configuration and functionality of the proposed converter are fully investigated. This is accomplished so that the multi-input non-isolated converter can have high voltage gain. The correct operation of the converter is demonstrated through the presentation of a detailed design method, and numerical outcomes are shown for a variety of modes in which the converter can operate effectively. Eventually, to guarantee that the simulation outcomes are accurate, an experimental prototype of the proposed converter has been produced in a laboratory, and the results of the simulation have been validated with those obtained in practice.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Diversifying Transmission Planning of Wind-Heavy Systems by Incorporating Dynamic Line Rating

Diversifying Transmission Planning of Wind-Heavy Systems by ...

引用

Annual North-American Power Symposium

作者： Sarangan Rajendrane Amirthagunaraj Yogarathnam Tianqiao Zhao Satoshi Endo Visvakumar Aravinthan Al Tamimi Charles R. Yokley Meng Yue Interdisciplinary Science Department Brookhaven National Laboratory Upton NY USA Department of Electrical and Computer Engineering Wichita State University Wichita KS USA Environmental and Climate Sciences Department Brookhaven National Laboratory Upton NY USA Transmission Planning and Policy Sunflower Electric Power Corporation Wichita KS USA

ISBN: (数字)9798331521035

ISBN: (纸本)9798331521042

Expanding electric transmission capacity for renewable energy sources such as wind and solar is essential for decarbonization efforts and meeting increased load demand. This typically requires significant investments in new transmission lines or upgrades to existing ones. However, enhancing the efficiency of current infrastructure can also be highly beneficial. Recently, the use of Dynamic Line Ratings (DLR) has gained significant attention from utilities. DLR allows operators to use lines at their true capacities by considering weather conditions, which can be much higher than the conservative static line ratings. This paper presents a methodology for identifying and implementing DLR on selected lines to enhance capacity and reduce upgrade costs. Line identification is performed using power flow tracing algorithms, where lines carrying more wind power are chosen as candidates for DLR implementation. A criticality score, which is a function of the average wind power flow in the line and the worst-case loading level, is then defined to prioritize the lines that need DLR implementation. The proposed method is tested on a modified system based on the Western Kansas area, with estimated cost savings evaluated. The criticality of these transmission lines during $(n-1)$ contingencies is also evaluated. Additionally, alternative reinvestment strategies for these savings are explored, which show their potential benefits for system security and reliability.

关键词： Wind Renewable energy sources Power transmission lines Costs Wind power generation Low carbon economy Planning Security Reliability North America

来源：评论

学校读者我要写书评

暂无评论

Effective Two-Stage Double Auction for Dynamic Resource Trading in Edge Networks via Overbooking

arXiv

引用

arXiv 2025年

作者： Wu, Sicheng Liwang, Minghui Wang, Deqing Wang, Xianbin Wu, Chao Tang, Junyi Li, Li Jiao, Zhenzhen The School of Informatics Xiamen University Fujian China The Department of Control Science and Engineering The National Key Laboratory of Autonomous Intelligent Unmanned Systems Tongji University Shanghai China Frontiers Science Center for Intelligent Autonomous Systems Ministry of Education Tongji University Shanghai China The Department of Electrical and Computer Engineering Western University ON Canada The School of Public Affairs Zhejiang University Hangzhou310027 China School of Information Science and Engineering Lanzhou University Lanzhou China The iF-Labs Beijing Teleinfo Technology Co. Ltd. CAICT China

To facilitate responsive and cost-effective computing resource scheduling and service delivery over edge-assisted mobile networks, this paper investigates a novel two-stage double auction methodology via utilizing an interesting idea of resource overbooking to overcome dynamic and uncertain nature from edge servers (sellers) and demand from mobile devices (as buyers). The proposed auction integrates multiple essential factors such as social welfare maximization and decision-making latency (e.g., the time for determining winning seller-buyer pairs) reduction, by introducing a stagewise strategy: an overbooking-driven pre-double auction (OPDAuction) for determining long-term cooperations between sellers and buyers before practical resource transactions as Stage I, and a real-time backup double auction (RBDAuction) for handling residual resource demands during actual transactions. In particular, by applying a proper overbooking rate, OPDAuction helps with facilitating trading contracts between appropriate sellers and buyers as guidance for future transactions, by allowing the booked resources to exceed supply. Then, since pre-auctions may cause risks, our RBDAuction adjusts to real-time market changes, further enhancing the overall social welfare. More importantly, we offer an interesting view to show that our proposed two-stage auction can support significant design properties such as truthfulness, individual rationality, and budget balance. Through extensive experiments, we demonstrate good performance in social welfare, time efficiency, and computational scalability, outstripping conventional methods in dynamic edge computing settings. Copyright © 2025, The Authors. All rights reserved.

关键词： Budget control

来源：评论

学校读者我要写书评

暂无评论

Anticipating for Smart Healthcare System by Deep Ensemble Model Using Multi-Layer Perceptron in Early Human Facial Emotion Recognition

SSRN

引用

SSRN 2024年

作者： Riaz, Waqar Gong, Tao Ji, Jiancheng Zaman, Khalid Ullah, Inam Alwabli, Abdullah Almutairi, Sulaiman Sulmi Institute of Intelligent Manufacturing Shenzhen Polytechnic University 4089 Shahe West Road Shenzhen518055 China Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China Department of Computer Engineering Gachon University Seongnam13120 Korea Republic of Department of Electrical Engineering College of Engineering and Computing in Al-Qunfudhah Umm al-Qura University Mecca Saudi Arabia Department of Health Informatics College of Public Health and Health Informatics Qassim University Qassim51452 Saudi Arabia

In the advancement of Artificial Intelligence, this study anticipates towards smart healthcare systems by pioneering anticipation in humans (being a patient) emotions classification. Followed by the investigation delves into the challenge of accurately classifying human emotions, a critical factor in understanding patients' recent mood and situation (if critical). Integrating Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Multi-Layer Perceptron (MLP) for comprehensive facial emotion analysis. Initiated with Faster Region-Based Convolutional Neural Network (R-CNN) for face detection, the methodology extract features from three CNN models and employ advanced feature fusion techniques to combine them. These amalgamated features are then used to train an ensemble classification model. The process commences with the deployment of a Faster Region-Based Convolutional Neural Network (Faster R-CNN) for the swift and accurate identification of human’s face in real-time and recorded video feeds, including advanced feature extraction across three CNN models and innovative fusion techniques by strengthened the InceptionV3 for superior accuracy, replacing improved Faster R-CNN feature learning module. This replacement aims to enhance the accuracy and efficiency of face detection in our proposed framework. Validation on EMOTIC, CK+, FER-2013, and AffectNet confirms notable accuracy results of 98.01%, 99.53%, 99.27% and 96.81%, respectively with accuracy rates highlighting its potential to revolutionize medical environment and measures in smart healthcare systems. It is important to note that these datasets were carefully acquired in a simulated environment. © 2024, The Authors. All rights reserved.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

A Semantic Approach for Domain-Specific Design Patterns Recommendations in CMS-based Web Development

A Semantic Approach for Domain-Specific Design Patterns Reco...

引用

2020 International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2020

作者： Gkantouna, Vassiliki Papaioannou, Vaios Tzimas, Giannis Sabic, Zlatan University of Patras Department of Computer Engineering and Informatics Patras Greece University of the Peloponnese Department of Electrical and Computer Engineering Patras Greece Senior Operations Officer - Public Information Systems Specialist World Bank Group

ISBN: (纸本)9781728167992

Today's web designers are encountering multiple issues regarding website development within specific application domains. These issues can be successfully addressed using Domain-Specific Design Patterns, enhancing the final deliverable quality for the domain under consideration. Having in mind the benefits of using web design patterns, domain ontologies can also complement their identification within the context of a specific application domain. They define the underlying semantic context of a domain, by encapsulating the domain knowledge. To this end, an approach is proposed to support the automated recommendation of candidate web design patterns relying on the respective domain ontology. The website designs, occurring in a particular application domain, are automatically analyzed so that all recurrent patterns among them can be detected. These patterns are validated and matched against domain's ontology, and subsequently evaluated and categorized. Finally, the best-rated design solutions are recommended as candidate design patterns for addressing typical domain design problems. Ultimately, it becomes easier for domain designers to recognize best practices among them and thus identify domain-specific design patterns. © 2020 IEEE.

关键词： Ontology

来源：评论

学校读者我要写书评

暂无评论

CHARLIE: A Chatbot That Recommends Daily Fitness and Diet Plans

CHARLIE: A Chatbot That Recommends Daily Fitness and Diet Pl...

引用

IEEE Annual Conference on Pervasive Computing and Communications Workshops (PerCom)

作者： Deepanjali Chowdhury Ahana Roy Sreenivasan Ramasamy Ramamurthy Nirmalya Roy Department of Electrical and Computer Engineering Texas A&M University College Station United States Howard County Public School System Maryland United States Department of Computer Science Bowie State University Bowie United States Department of Information Systems University of Maryland Baltimore County Baltimore United States

Managing a work-life balance has always been challenging, especially after the recent trend of working from home, which has made maintaining one's fitness and diet regime strenuous. Failing to adhere to a fitness and diet plan has been shown to cause long-term effects on a person's health including obesity and shortened lifespans. Currently, people plan their fitness and diet plans around their schedule, but these tasks are challenging to maintain. Users tend to give up these plans due to a lack of time and planning. To help with better planning for a fitness and diet regime, we propose, CHARLIE, a chatbot that works around a user's schedule to intelligently recommend diets and fitness goals based on their calendar. CHARLIE is a recommendation system that suggests the users' a certain meal and fitness activities based on the amount of time they have left in their day and the number of calories they lose.

关键词：

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：