检索结果-内蒙古大学图书馆

International Conference on Display Technology, 2024

作者： Tang, Shu Tuen Chiu, Hon Wah Tseng, Man Chun Kwok, Hoi Sing State Key Laboratory on Advanced Displays and Optoelectronics Technologies Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Kowloon Hong Kong

Vertically Aligned LCD is one of the most widely used optical modes in LCD TV and mobile devices. It is also a very important category of passive LC displays used in Automobiles. It has the advantages of perfect dark state and very high contrast ratio for normal viewing. However, single domain VA LCD has the intrinsic issue of dead zone (contrast vanishing zone) in certain viewing direction in the voltage-on state, which seriously limits its viewing angle performance. Recently, the State Key laboratory on Advanced Displays and Optoelectronics Technologies of the Hong Kong University of science and Technology has developed an easy-to-apply multi-domain VA LCD technology that can be readily implemented in LCD factories without major investment and change in current production process. © 2024 John Wiley and Sons Inc. All rights reserved.

关键词： Azo dyes

来源：评论

学校读者我要写书评

暂无评论

Prediction of compressive strength of high-performance concrete using optimization machine learning approaches with SHAP analysis

引用

Journal of Building Pathology and Rehabilitation 2024年第2期9卷 1-20页

作者： Islam, Md Mahamodul Das, Pobithra Rahman, Md Mahbubur Naz, Fasiha Kashem, Abul Nishat, Mosaraf Hosan Tabassum, Nujhat Department of Informatics University of Oslo Oslo Norway Department of Civil Engineering Leading University Sylhet Bangladesh Department of Industrial and Systems Engineering Lamar University Beaumont United States Department of Computer Science University of Agriculture Faisalabad Faisalabad Pakistan Department of Civil and Environmental Engineering Shahjalal University of Science & amp Technology Sylhet Bangladesh Department of Civil and Environmental Engineering Islamic University Of Technology -IUT(OIC) Gazipur Bangladesh Department of Electrical and Computer Engineering North South University Dhaka Bangladesh

Forecasting the compressive strength of high-performance concrete (HPC) is crucial for its practical applications. However, conducting experimental tests for this purpose demands significant resources and time. In recent times, data-driven modeling, particularly machine learning, has become prominent in this field. Thus, this study employed machine learning methods, including Gradient Boosting, Random Forest, and CatBoost algorithms, to predict the compressive strength of high-performance concrete (HPC). Furthermore, interpretable algorithms like SHapley Additive exPlanations (SHAP) were utilized in this study to assess the contribution of input variables to predictions. The dataset includes parameters such as cement, blast furnace slag, fly ash, water, coarse aggregate, sand, and age as input variables, with compressive strength as the output variable for models development. The CatBoost model performance was superior to GBM and RF models, with R² values of 0.979 for the training stage and 0.959 for the testing stage. Moreover, it demonstrated minimal mean absolute errors (MAE) of 2.37 MPa and 3 MPa for compressive strength prediction in the training and testing stages, respectively. Furthermore, the SHAP analysis revealed that age, cement, and superplasticizer are the primary influencers in determining compressive strength. The machine learning models presented in this study exhibit promising potential for practical implementation in different engineering applications. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

关键词： Compressive strength High-performance concrete Machine learning SHAP analysis

来源：评论

学校读者我要写书评

暂无评论

Decentralized Optimal Energy Dispatch of Multiple Park-Level Integrated Energy Systems 25

Decentralized Optimal Energy Dispatch of Multiple Park-Level...

引用

25th IEEE International Conference on Industrial Technology, ICIT 2024

作者： Du, Can Hua, Haochen Wu, Xingchen Su, Yuxin Jia, Yunsi Chen, Xingying Naidoo, Pathmanathan Tavares, Maria Cristina College Of Energy And Electrical Engineering Hohai University Nanjing China University Of Johannesburg Department Of Mechanical Engineering Science Johannesburg South Africa School Of Electrical And Computer Engineering University Of Campinas São Paulo Campinas Brazil

ISBN: (纸本)9798350340266

The interconnection of park-level integrated energy systems (PLIES) can effectively realize the integration of various energy sources and improve the efficiency of energy utilization. However, due to the diversity of PLIES's types and the complex coupling characteristics among multiple energy sources within each PLIES, it is rather challenging to collaborate the energy interaction between each PLIES to achieve the overall optimal scheduling. To tackle with this issue, a distributed optimal scheduling strategy for multiple PLIESs is proposed in this paper. Firstly, the PLIESs operation architecture considering demand response and energy interaction is constructed. Then, with the aim of minimizing the operation cost, the economic dispatch model is established. Finally, the dispatch process has been migrated to the proposed distributed framework, where only a limited set of information is shared among participants, and the inexact generalized alternating direction method of multipliers with indefinite proximal term (IGADMM-IPT) is adopted to obtain the optimal energy dispatch strategy. The simulation results show that the proposed method can reduce the operating cost compared with the PLIESs without interconnection, and the solution time can be reduced by 20.14% compared with the traditional ADMM, so as to obtain the optimal strategy. © 2024 IEEE.

关键词： Parks

来源：评论

学校读者我要写书评

暂无评论

Democratizing the Federation in Federated Learning

Democratizing the Federation in Federated Learning

引用

IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems (MASS)

作者： Ningxin Su Baochun Li Bo Li Department of Electrical and Computer Engineering University of Toronto Department of Computer Science Hong Kong University of Science and Technology

ISBN: (数字)9798350363999

ISBN: (纸本)9798350364002

Federated learning (FL) is a widely acknowledged distributed training paradigm that preserves the privacy of data on participating clients, and has become the de facto standard for distributed machine learning across a large number of edge devices. Conventional FL, however, has a rather rigid design, where the server is the dominant player that selects a subset of its clients to participate in each communication round, and clients are merely followers, and are not offered the freedom to accept or decline invitations from the server to participate. In addition, clients may become unavailable or very slow due to a wide variety of reasons, yet it may take an excessive amount of time for a conventional FL server to recognize that a particular client is unavailable. In this paper, we advocate for a more pragmatic paradigm in federated learning, called democratic federated learning, to offer more freedom to both servers and clients with respect to the ability to accept or decline requests, and to explicitly request to participate. In contrast to conventional federated learning, our paradigm allows (1) both the server and clients to participate and withdraw from the federated learning process at any time; (2) the server to decide whether to reject clients' updates based on the current model convergence steps, i.e., after satisfying the minimum required clients' updates received; and (3) the clients to adjust the local epochs based on their own training and communication time. Our experimental results on a variety of datasets and models have confirmed that democratic federated learning not only accelerates the convergence process but also improves the accuracy of converged models, and serves as a foundation for future explorations into client-centric models within the FL ecosystem.

关键词： Training Data privacy Federated learning Ecosystems Distributed databases Smart systems Servers Standards Convergence Pragmatics

来源：评论

学校读者我要写书评

暂无评论

Heterogeneity-Aware Federated Deep Multi-View Clustering towards Diverse Feature Representations 24

Heterogeneity-Aware Federated Deep Multi-View Clustering tow...

引用

32nd ACM International Conference on Multimedia, MM 2024

作者： Jiang, Xiaorui Ma, Zhongyi Fu, Yulin Liao, Yong Zhou, Pengyuan Cccd Key Lab of Ministry of Culture and Tourism University of Science and Technology of China Hefei China Department of Electrical and Computer Engineering Aarhus University Aarhus Denmark

ISBN: (纸本)9798400706868

Multi-view clustering has proven to be highly effective in exploring consistency information across multiple views/modalities when dealing with large-scale unlabeled data. However, in the real world, multi-view data is often distributed across multiple entities, and due to privacy concerns, federated multi-view clustering solutions have emerged. Existing federated multi-view clustering algorithms often result in misalignment in feature representations among clients, difficulty in integrating information across multiple views, and poor performance in heterogeneous scenarios. To address these challenges, we propose HFMVC, a heterogeneity-aware federated deep multi-view clustering method. Specifically, HFMVC adaptively perceives the degree of heterogeneity in the environment and employs contrastive learning to explore consistency and complementarity information across clients' multi-view data. Besides, we seek consensus among clients where local data originates from the same view, incorporating a contrastive loss between local models and the global model during local training to adjust consistency among local models. Furthermore, we elucidate the sample representation logic for local clustering in different heterogeneous environments, identifying the degree of heterogeneity by computing the within-cluster sum of squares (WCSS) and the average inter-cluster distance (AICD). Extensive experiments verify the superior performance of HFMVC across both IID and Non-IID settings. © 2024 ACM.

关键词： Federated learning

来源：评论

学校读者我要写书评

暂无评论

Analog parallel processor for broadband multifunctional integrated system based on silicon photonic platform

引用

Light(science & Applications) 2025年第3期14卷 746-756页

作者： Na Qian Defu Zhou Haowen Shu Ming Zhang Xingjun Wang Daoxin Dai Xiao Deng Weiwen Zou State Key Laboratory of Advanced Optical Communication Systems and Networks Intelligent Microwave Lightwave Integration Innovation Center(imLic)Department of Electronic EngineeringShanghai Jiao Tong UniversityShanghaiChina State Key Laboratory of Advanced Optical Communications System and Networks Department of ElectronicsSchool of Electronics Engineering and Computer SciencePeking UniversityBejingChina State Key Laboratory of Extreme Photonics and Instrumentation College of Optical Science and EngineeringInternational Research Center for Advanced PhotonicsZhejiang UniversityHangzhouChina

Sharing the hardware platform between diverse information systems to establish full cooperation among different functionalities has attracted substantial ***,broadband multifunctional integrated systems with large operating frequency ranges are challenging due to the bandwidth and computing speed restrictions of electronic ***,we report an analog parallel processor(APP)based on the silicon photonic platform that directly discretizes and parallelizes the broadband signal in the analog *** APP first discretizes the signal with the optical frequency comb and then adopts optical dynamic phase interference to reassign the analog signal into 2N parallel *** photonic analog parallelism,data rate and data volume in each sequence are simultaneously compressed,which mitigates the requirement on each parallel computing ***,the fusion of the outputs from each computing core is equivalent to directly processing broadband *** the proof-of-concept experiment,two-channel analog parallel processing of broadband radar signals and high-speed communication signals is implemented on the single photonic integrated *** bandwidth of broadband radar signal is 6 GHz and the range resolution of 2.69 cm is *** wireless communication rate of 8 Gbit/s is also *** the bandwidth and speed limitations of the single-computing core along with further exploring the multichannel potential of this architecture,we anticipate that the proposed APP will accelerate the development of powerful optoelectronic processors as critical support for applications such as satellite networks and intelligent driving.

关键词： analog parallel processor sharing hardware platform multifunctional integrated systems establish full cooperation different functionalities analog parallel processor app based silicon photonic platform electronic circuitryherewe broadband signal

来源：评论

学校读者我要写书评

暂无评论

The Analysis and Design of a Resonant Capacitively-Isolated Cockcroft-Walton Converter

The Analysis and Design of a Resonant Capacitively-Isolated ...

引用

Annual IEEE Conference on Applied Power Electronics Conference and Exposition (APEC)

作者： Elizabeth Rabenold Raiphy Jerez Samantha Coday Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology

ISBN: (数字)9798331516116

ISBN: (纸本)9798331516123

Capacitive isolation is a potential alternative to magnetics-based isolation in emerging applications, such as in partial power processing converter topologies, and in applications where weight and component volume are limiting factors. This work presents a capacitively-isolated Cockcroft-Walton converter capable of isolation through the flying capacitors. Generalized equations for mid-range flying capacitor voltages and switch voltages for converters of even level count are detailed. Experimental results validate the topology and analysis with a hardware prototype demonstrating 120 V input, 93.87% efficiency, and up to 60 V of isolation.

关键词： Electric potential Limiting Capacitors Prototypes Magnetic resonance Switches Hardware Power electronics Topology Power generation

来源：评论

学校读者我要写书评

暂无评论

A Hybrid Switched Capacitor Converter Enabling Capacitive-Based Wireless Power Transfer for Battery Charging Applications

A Hybrid Switched Capacitor Converter Enabling Capacitive-Ba...

引用

Annual IEEE Conference on Applied Power Electronics Conference and Exposition (APEC)

作者： Jade Sund Samantha Coday Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology

ISBN: (数字)9798331516116

ISBN: (纸本)9798331516123

This work investigates the feasibility of employing hybrid switched capacitor converters in wireless battery charging applications. A capacitively-isolated hybrid Dickson converter designed for use in low-power volume-constrained wireless power transfer applications is presented. The converter analysis, operation and design are detailed. Finally, a hardware prototype is presented and experimental results validate wireless power transfer, across varying load and gap distances.

关键词： Wireless communication Capacitors Prototypes Wireless power transfer Switches Voltage Resonant converters Hybrid power systems Hardware Batteries

来源：评论

学校读者我要写书评

暂无评论

Automatic Waterfowl and Habitat Detection using Drone Imagery and Deep Learning

Automatic Waterfowl and Habitat Detection using Drone Imager...

引用

IEEE International Conference on Consumer Electronics (ICCE)

作者： Andrew Zhao Andrea Fratila Yang Zhang Zhenduo Zhai Zhiguang Liu Yi Shang Computer Science Department University of Illinois USA Department of Electrical Engineering and Computer Science University of Missouri USA

The integration of drone technology and Artificial Intelligence (AI) has opened up new possibilities for wildlife conservation and habitat monitoring. In this paper, we present a new system for efficiently and accurately analyzing waterfowl populations and classifying their habitats over large natural areas using drone imagery and deep learning (DL). Given a sequence of drone images captured by a drone along a flight path, the system utilizes customized deep learning models for waterfowl detection and counting, Meta’s SAM for image segmentation and customized deep learning models for segment classification, and ChatGPT to generate text-based survey reports. Several image overlap detection methods were developed and compared with. Our experimental results show accurate waterfowl and habitat detection results and improvement over previous work, providing efficient and accurate data analysis for wildlife conservation efforts.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Hyperdimensional Computing Versus Convolutional Neural Network: Architecture, Performance Analysis, and Hardware Complexity

Hyperdimensional Computing Versus Convolutional Neural Netwo...

引用

2023 International Conference on Microelectronics, ICM 2023

作者： Hassan, Eman Bettayeb, Meriem Mohammad, Baker Zweiri, Yahya Saleh, Hani Lab Electrical Engineering and Computer Science Department Abu Dhabi United Arab Emirates Abu Dhabi United Arab Emirates

ISBN: (纸本)9798350380828

The interest in brain-inspired computing architectures has been growing, particularly in the context of edge devices with constrained resources for executing cognitive functions. One such approach is hyperdimensional computing (HDC), a novel concept that draws inspiration from the large representation of human neuronal activity. HDC has demonstrated effectiveness in one-dimensional tasks, like text identification and activity recognition, offering advantages in power consumption and response time over convolutional neural networks (CNNs). This paper compares HDC and CNN regarding architecture, accuracy, and hardware complexity, explicitly focusing on image classification tasks. Our findings indicate that CNNs generally outperform HDC in two-dimensional tasks but require significantly more computational resources. In contrast, HDC offers adequate results using just 16% of the data needed for training. Additionally, experiments conducted using a Raspberry Pi 4 show that HDC can enhance inference speed and energy efficiency by approximately 2.5 times relative to CNNs. © 2023 IEEE.

关键词： Convolutional neural networks

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：