检索结果-内蒙古大学图书馆

3rd International Conference on Artificial Intelligence and intelligent Information Processing, AIIIP 2024

作者： Li, Heng Wu, Xinyi Ren, Wenkai Innovation Center for GPU and Intelligent Computing System Wuhan Digital Engineering Institute Hubei Wuhan China

ISBN: (纸本)9798400707308

Aiming the needs of non-contact convenient interaction in applications, we proposed a 3D gesture pose estimation and interaction feedback method. The accuracy of gesture posture estimation is improved by a cascade gesture posture estimation network based on DeepPrior++ and the Kalman filter. We also design a 3D gesture interaction modal. The recognized gestures and estimated gesture poses are transformed into operation commands through a gesture understanding engine, and the interaction feedback is updated based on the operation commands. Thus, non-contact interaction can be achieved in a convenient manner, to provide convenient and practical 3D gesture interaction tools. © 2024 Copyright held by the owner/author(s).

关键词： Kalman filters

来源：评论

学校读者我要写书评

暂无评论

Edge-Cloud Cooperation-Driven intelligent Sustainability Evaluation Strategy Based on IoT and CPS for Energy-Intensive Manufacturing Industries

引用

IEEE Internet of Things Journal 2025年第9期12卷 12287-12297页

作者： Ma, Shuaiyin Huang, Yuming Chen, Yanping Xiao, Qinge Xu, Jun Leng, Jiewu Xi’an University of Posts and Telecommunications Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Xi’an Key Laboratory of Big Data and Intelligent Computing School of Computer Science and Technology Xi’an710121 China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China Xidian University Advanced Manufacturing Technology Innovation Center Guangzhou Institute of Technology Guangzhou510555 China Guangdong University of Technology Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing System State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment Guangzhou510006 China

The advancement of the Industry 5.0 in information technology has led to increased interest in integrating edge-cloud cooperation with Internet of Things (IoT) and cyber-physical system (CPS) designs. This integration effectively reduces service delays and provides real-time analysis feedback to physical spaces, attracting attention from both academia and industry. These advanced technologies enhance production system intelligence, their alignment with circular economy principles for promoting sustainability has been overlooked. To address this gap, this article proposes an intelligent sustainability evaluation strategy driven by edge-cloud cooperation, IoT, and CPS. The proposed approach aims to enhance production sustainability and intelligence through circular economy perspectives. It introduces improved gray relation analysis and deep clustering network techniques to extract meaningful insights from diverse indicators within the evaluation system. By analyzing relationships between different equipment and workshops, it provides an analytical method that enhances production efficiency while reducing energy consumption and resource waste. To further validate the proposed method, an illustrative example using a partner company’s production data demonstrates its accuracy. © 2014 IEEE.

关键词： Circular economy

来源：评论

学校读者我要写书评

暂无评论

A Multi-Stage Deep Learning Pipeline for Crack Detection and Segmentation in High-Speed Rail Brake Discs

A Multi-Stage Deep Learning Pipeline for Crack Detection and...

引用

Consumer Technology (ICCT-Pacific), International Conference on

作者： Ching-Heng Cheng Yu-Fan Lin Chia-Ming Lee Chih-Chung Hsu Yu-Lin Shih Ting Chin Department of Statistics Institute of Data Science National Cheng Kung Univ. Tainan Taiwan Department of Intelligent Technology Systems Institute of Miin Wu School of Computing National Cheng Kung Univ Tainan Taiwan Institute of Intelligent Systems College of Artificial Intelligence National Yang Ming Chiao Tung Univ. Hsinchu Taiwan Innovation Logistics System Technology Dept. Smart Logistics & Supply Chain Integration Service Division Service Systems Technology Center Industrial Technology Research Institute Hsinchu Taiwan

ISBN: (数字)9798331504120

ISBN: (纸本)9798331504137

The braking system of high-speed rail (HSR) is critical for passenger safety, but prolonged use of brake discs can lead to cracks, posing significant risks. Traditional manual inspection methods are time-consuming and labor-intensive. To address these challenges, we propose a multi-stage crack detection and segmentation system, a cascade mode to progressively identify cracks, leveraging deep learning techniques. The system includes automated circle detection, region cropping, and crack detection and segmentation to accurately identify cracks. Using a real-world dataset collected from HSR brake discs, our approach significantly improves data preprocessing efficiency and model performance. Furthermore, we evaluate the performance on un-seen data and compare our crack detection framework with other deep learning models. The experimental results demonstrate the system's effectiveness which is superior to other deep learning models, highlighting its potential for real-world deployment in HSR maintenance.

关键词： Deep learning Image segmentation Motion segmentation Computational modeling Pipelines Rail transportation Data models Maintenance Safety Brakes

来源：评论

学校读者我要写书评

暂无评论

A Virtual Cryptographic Card Resource Sharing Method Based on Lottery Scheduling Optimization Algorithm 6

A Virtual Cryptographic Card Resource Sharing Method Based o...

引用

6th International Conference on Next Generation Data-Driven Networks, NGDN 2024

作者： Gao, Yi Wang, Daoyu Xia, Jing Fu, Xixi Wuhan Digital Engineering Institution Information and Electronics Department Wuhan China Wuhan Digital Engineering Institution Innovation Center for Gpu and Intelligent Computing System Technology Wuhan China

ISBN: (纸本)9798350388374

Given the pressing demands for high concurrency and throughput in secure business operations within cloud computing virtual environments, traditional I/O virtualization methods often lack the necessary latency guarantees for user cryptographic card computation tasks. Therefore, this paper explores a virtual cryptographic card resource sharing approach based on a lottery scheduling optimization algorithm, enabling multi-machine sharing and flexible allocation of crypto graphic cards. The study employs randomized scheduling based on the volume and waiting time of cryptographic computation tasks. By proportionally dividing cryptographic card resources, it enhances the timely responsiveness of virtual cryptographic computation tasks and reduces the uncertainty in resource allocation caused by the randomness of traditional lottery scheduling algorithms, thus balancing the computational requirements of different tasks for cryptographic computations. © 2024 IEEE.

关键词： Scheduling algorithms

来源：评论

学校读者我要写书评

暂无评论

Reconfigurable logic circuits and rectifier based on two-terminal ionic homojunctions

引用

Device 2025年第5期3卷

作者： Zhong, Zhipeng Cheng, Xin Song, Wenqing Yang, Qianyi Li, Xiang Wang, Yuyang Wang, Wan Zhuang, Yezhao Chen, Yan Shi, Wu Lin, Tie Meng, Xiangjian Huang, Hai Wang, Jianlu Chu, Junhao State Key Laboratory of Photovoltaic Science and Technology Shanghai Frontiers Science Research Base of Intelligent Optoelectronic and Perception Institute of Optoelectronics and Department of Material Science Fudan University Shanghai 200433 China Zhangjiang Fudan International Innovation Center Fudan University Shanghai 201210 China State Key Laboratory of Surface Physics and Institute for Nanoelectronic Devices and Quantum Computing Fudan University Shanghai 200433 China State Key Laboratory of Infrared Physics Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai 200083 China Frontier Institute of Chip and System Fudan University Shanghai 200433 China

Reconfigurable logic devices that can perform multiple functions with fewer components offer a solution for increasing data processing demands. Achieving reconfigurability without complex designs, however, remains challenging. In this study, we present a two-terminal reconfigurable homojunction device based on ionic-conducting CuInP₂S₆ (CIPS). The device achieves tunable and reversible rectification by controlling Cu migration under an electric field. The homojunction is formed by modulating the contact potential of the CIPS channel, resulting in an asymmetric contact barrier. The resulting device has a rectification ratio of up to 4 × 10⁴, an ultra-low leakage current (∼100 fA), and a high breakdown voltage of 170 V, maintaining read stability over 3,000 cycles. It operates at frequencies up to 10 kHz and can be reconfigured as OR and AND logic states depending on the Cu migration direction of the CIPS homojunction. © 2025 The Author(s)

关键词： copper indium thiophosphate DTI-2: Explore ionic conductor photovoltaic reconfigurable homojunction

来源：评论

学校读者我要写书评

暂无评论

All-Optically Modulated In-Sensor computing Device Based on Ionic-Conducting CuInP₂Se₆

引用

Advanced Materials 2025年 e2502254页

作者： Yang, Qianyi Zhuang, Yezhao Zhong, Zhipeng Cheng, Xin Li, Xiang Meng, Xiangjian Shi, Wu Huang, Hai Wang, Jianlu Chu, Junhao State Key Laboratory of Photovoltaic Science and Technology Shanghai Frontiers Science Research Base of Intelligent Optoelectronic and Perception Institute of Optoelectronic and Department of Materials Science Fudan University Shanghai 200433 China Zhangjiang Fudan International Innovation Center Fudan University Shanghai 201210 China State Key Laboratory of Infrared Physics Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai 200083 China State Key Laboratory of Surface Physics and Institute for Nanoelectronic Devices and Quantum Computing Fudan University Shanghai 200433 China State Key Laboratory of Integrated Chips and Systems Frontier Institute of Chip and System Fudan University Shanghai 201210 China

Inspired by the human visual system, in-sensor computing has emerged as a promising approach to address growing demands for real-time image processing while overcoming constraints in computational resources. However, existing in-sensor computing optoelectronic devices still face challenges such as complex heterostructures or limited optical modulation for operational efficiency, restricting their practical use. Here, a simple two-terminal optoelectronic device has been fabricated using the 2D material CuInP₂Se₆, achieving neuromorphic functionalities through all-optical modulation. The device exhibits a tunable photoresponse across the visible spectrum (400 to 700 nm) and enables bidirectional conductance modulation in response to light stimuli, driven by the interaction between Cu⁺ ions and photogenerated electrons. It shows high linearity with 300 discrete conductance states under red, green, and blue light, enabling color-specific image feature extraction, processing, and recognition across three channels. This approach significantly enhances color image recognition accuracy by 4.6% when integrated with a three-channel convolutional neural network. Additionally, the bidirectional photoresponse allows for efficient noise suppression during color image preprocessing, leading to a 490% improvement in signal-to-noise ratio. These findings highlight the potential of CuInP₂Se₆-based architecture for robust performance, paving the way for in-sensor neuromorphic vision systems in artificial intelligence and biomimetic computing. © 2025 Wiley-VCH GmbH.

关键词： All-optical modulation In-sensor computing Ion-conducting Optoelectronics Synaptic devices

来源：评论

学校读者我要写书评

暂无评论

Research on human-computer interaction portability evaluation model in complex environment 5

Research on human-computer interaction portability evaluatio...

引用

5th International Conference on Computer Science and Artificial Intelligence, CSAI 2021

作者： Xue, Zhuxin Bai, Yang Wang, Haixin He, Chenyu Tan, Jian Innovation Center for Intelligent System on Recognition and Decision Beijing Jinghang Research Institute of Computing and Communication China School of Digital Media and Art Design Beijing University of Posts and Telecommunications China

ISBN: (纸本)9781450384155

Human-computer interaction is a technology to study the relationship between users and systems. Good user experience can greatly enhance user stickiness. With the development of Internet technology, users begin to face a variety of systems, but the interaction methods involved are different. Learning new interaction means an increase in user learning costs. As a part of product design, the design of interaction also needs to cover special user groups as much as possible, such as blind people. Thus, it is necessary to study whether different ways of interaction can migrate to each other. Traditional research on user experience mainly focuses on qualitative aspects, such as questionnaire survey. In this paper, we propose a quantitative model to evaluate the portability of interaction. For software interaction design, the macro concept of user experience is quantified by different dimensions, and a unified index model and calculation method are output to guide and evaluate the portability of different software interactions. © 2021 ACM.

关键词： Product design

来源：评论

学校读者我要写书评

暂无评论

A Virtual Cryptographic Card Resource Sharing Method Based on Lottery Scheduling Optimization Algorithm

A Virtual Cryptographic Card Resource Sharing Method Based o...

引用

Next Generation Data-driven Networks (NGDN), International Conference on

作者： Yi Gao Daoyu Wang Jing Xia Xixi Fu Information and Electronics Department Wuhan Digital Engineering Institution Wuhan China Innovation Center for GPU and Intelligent Computing System Technology Wuhan Digital Engineering Institution Wuhan China

ISBN: (数字)9798350388374

ISBN: (纸本)9798350388381

关键词： Uncertainty Scheduling algorithms Pressing Dynamic scheduling Throughput Cryptography Resource management Time factors Virtualization Optimization

来源：评论

学校读者我要写书评

暂无评论

Research on Simulation Method of Visual and Auditory Multidimensional Interaction in Distributed Environment

Research on Simulation Method of Visual and Auditory Multidi...

引用

2021 International Conference on Computer Graphics, Artificial Intelligence, and Data Processing, ICCAID 2021

作者： Zhang, Tong Wang, Hai X. Zhang, Chi Zhuang, Xiao Y. Tan, Jian Innovation Center for Intelligent System on Recognition and Decision Beijing Jinghang Research Institute of Computing and Communication Beijing China School of Digital Media and Art Design Beijing University of Posts and Telecommunications Beijing China

ISBN: (数字)9781510652170

ISBN: (纸本)9781510652163

"Thin as paper and sound as chime"is the reputation of the two important characteristics of optical and acoustics of Chinese porcelain. On most online display platforms, porcelain is only displayed in two dimensions, and the sound display is relatively single. This paper studies and proposes a simulation method for visual and auditory multidimensional interaction in a distributed environment. Based on the porcelain photo acoustics of virtual simulation, in the 3D simulation porcelain model, by adjusting the intensity coefficient of the light source, the light propagation model on the surface and inside of the porcelain is established to realize the thinness and light transmittance of the porcelain. This research combines the fundamental frequency, harmonic frequency technology and volume with the 3D porcelain model, and use its structural characteristics and the principle of chime to synthesize the percussion sound of porcelain in a virtual simulation environment. The research conclusions can be applied to fields such as art online platform display. © 2022 SPIE.

关键词： Light sources

来源：评论

学校读者我要写书评

暂无评论

Distributed AI Community User Credit Evaluation Method 22

Distributed AI Community User Credit Evaluation Method

引用

2nd International Conference on Control and intelligent Robotics, ICCIR 2022

作者： Xin, Xuezhu Bai, Yang Wang, Haixin Mou, Yunzhen Ren, Yingchao Tan, Jian Innovation Center for Intelligent System on Recognition and Decision Beijing Jinghang Research Institute of Computing and Communication Beijing China School of Digital Media and Art Design Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781450397179

This research proposed a distributed AI community user credit evaluation method. The existing credibility evaluation methods based on user behavior are mainly concentrated in the financial industry and new media and self-media content industries represented by Facebook, Twitter and Zhihu(in China). There is a lack of quantitative assessment to credit value in AI models and data set community platforms. Based on the theory of social credit risk, this study firstly calculates the original credit by obtaining the direct characteristics of user credit on the community platform of the AI model and the data set, and then analyzes and decomposes the source quality of the direct characteristics of credit. The identification of credit characteristics includes obtaining all review users who have posted reviews and scores in multiple consecutive evaluation periods, and determining the trustworthiness of the review users according to the self-similar algorithm. Finally it obtains the credit that truly reflects the user's contribution in the distributed AI community. This research provides a method reference for the construction of similar communities. © 2022 ACM.

关键词： Risk assessment

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：