检索结果-内蒙古大学图书馆

A Survey of artificial intelligence for Industrial Detection

Annals of data science 2025年第2期12卷 799-827页

作者： Li, Jun Hai, YiFei Yin, SongJia Artificial Intelligence Security Innovation Team Beijing Information Science and Technology University Beijing100192 China School of Information Management Beijing Information Science and Technology University Beijing100192 China

In the past decade, deep learning has greatly increased the complexity of industrial production intelligence by virtue of its powerful learning capability. At the same time, it has also brought security challenges to the field of industrial production information networks, mainly in two aspects: production safety and network information security. The former is mainly focused on ensuring the safety of personnel behavior in the production environment, including two different categories: detection of dangerous targets and identification of dangerous behaviors. The latter focuses on the safety of industrial information systems, especially networks. In recent years, deep learning-based detection techniques have made great strides in addressing these dual problems. Therefore, this paper presents an exhaustive study on the development of deep learning-based detection methods for industrial production safety analysis and information network security problem detection. The paper presents a comprehensive taxonomy for classifying production environments and production network information, classifying and clustering prevalent industrial security challenges, with a special emphasis on the role of deep learning in insecure behavior identification and information security risk *** provides an in-depth analysis of the advantages, limitations, and suitable application scenarios of these two approaches. In addition, the paper provides insights into contemporary challenges and future trends in this field and concludes with a discussion of prospects for future research. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Accident prevention

来源：评论

学校读者我要写书评

暂无评论

Blockchain Implementation for Visual Art Copyright Protection 24

Blockchain Implementation for Visual Art Copyright Protectio...

引用

24th IEEE International Conference on Software Quality, Reliability and Security Companion, QRS-C 2024

作者： Zhou, Huang Chen, Yongqiang Zhou, Jiangchen Wang, Wenxuan School of Computer Science and Artificial Intelligence Wuhan Textile University Wuhan China

ISBN: (纸本)9798350365658

As digitization continues to grow, the distribution of creative work has become more widespread. However, this has also led to an increase in copyright infringement, which poses a significant threat to rights holders. Traditional copyright exchange platforms face various challenges, such as inefficiencies, high transaction costs, compromised personal privacy, and safety risks regarding data. To address these issues, we propose a new system for protecting the copyright of visual artwork using Hyperledger technology. Our approach involves using the SIFT algorithm to compute feature vectors from visuals. If the similarity exceeds specified thresholds, the system flags the infringements and initiates punitive measures. On the other hand, if the similarity falls below the threshold, the system saves an imperceptible watermark embedded within the visual on IPFS as a safeguard against plagiarism. Our system benefits from blockchain's unique attributes, such as scalability, storage efficacy, and quick transmission. This strengthens the system's defenses against potential vulnera-bilities. Empirical studies confirm our system's effectiveness in recognizing similarities and defending copyrights. Further-more, the blockchain-backed copyright registration process ensures the portability and traceability of copyright data, providing a secure and effective solution for protecting visual artwork copyrights. © 2024 IEEE.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

Task Offloading Optimization in Vehicular Edge Computing with Meta-Policy Models 4

Task Offloading Optimization in Vehicular Edge Computing wit...

引用

4th International Symposium on artificial intelligence and Intelligent Manufacturing, AIIM 2024

作者： Zuo, Jinhui Shao, Caixing Yang, Yang Ma, Yin School of Computer Science and Artificial Intelligence Southwest Minzu University Chengdu China

ISBN: (纸本)9798331541729

With the rapid development of mobile communication and Internet technology, the Internet of Vehicle (IoV) is becoming a key development direction in the future transportation field. Vehicle applications are generating more and more data. Offloading computational tasks to traditional cloud platforms often results in high task latency. To address these challenges, Vehicular Edge Computing (VEC) has become a promising solution, enabling the execution of complex computational tasks on edge servers deployed within roadside units (RSUs). By reducing data transmission delays and providing localized computing capabilities, VEC significantly enhances the performance of IoV systems. In this paper, we propose an intelligent task offloading algorithm based on a meta-reinforcement learning framework. Our approach models vehicle applications as directed acyclic graphs (DAGs), representing intricate dependencies among computational tasks. Using recurrent neural networks (RNNs), our algorithm learns optimized offloading strategies through training, dynamically adapting to varying task demands and network conditions. The experimental results indicate that the vehicle task offloading strategy obtained using this method can achieve low energy consumption while ensuring low latency. And this method leverages the computational capabilities of edge servers to enable efficient resource allocation and optimized scheduling. © 2024 IEEE.

关键词： Computation offloading

来源：评论

学校读者我要写书评

暂无评论

A Practical Predefined-Time Stability Criterion and Its Application to Uncertain Nonlinear Systems

引用

Journal of Systems science & Complexity 2024年第6期37卷 2556-2578页

作者： XU Hao YU Dengxiu SUI Shuai XU Bowen CHEN C.L.Philip Unmanned System Research Institute Northwestern Polytechnical UniversityXi'an 710072China College of Science Liaoning University of TechnologyJinzhou 121001China School of Artificial Intelligence Optics and ElectronicsNorthwestern Polytechnical UniversityXi'an 710072China School of Computer Science and Engineering South China University of Technology and Pazhou LabGuangzhou 510641China

In this paper,the singularity-free predefined-time fuzzy adaptive tracking control problem is studied for non-strict feedback(NSF)nonlinear systems considering mismatched external *** innovative practical predefined-time stability(PPTS)criterion is proposed to provide the theoretical basis for subsequent control *** to the existing predefined-time stability(PTS)criterion,this criterion has a broader application range and can solve the control design issues of nonlinear systems with system *** logic systems(FLSs)are employed to identify unknown nonlinear *** on the backstepping control technology,a singularity-free predefined-time control(PTC)design method is proposed,in which the hyperbolic tangent function is utilized to avoid the singular problem,and the nature of fuzzy basis function is adopted to resolve the algebraic loop *** PPTS of the closed-loop NSF nonlinear system is proven with the Lyapunov theory and the proposed PPTS ***,the efficiency of the presented PTC design method is verified by several sets of simulations on a single link manipulator system.

关键词： Fuzzy adaptive control nonlinear systems practical predefined-time stability predefinedtime control singularity-free control

来源：评论

学校读者我要写书评

暂无评论

Human activity detection algorithm based on TSACT model

Human activity detection algorithm based on TSACT model

引用

2024 China Automation Congress, CAC 2024

作者： Xia, Zhiheng Yang, Yongli School of artificial Intelligence Wuhan University of Science and Technology Wuhan China

ISBN: (纸本)9798350368604

Human activity recognition technology based on WiFi has attracted considerable attention in health monitoring and medical treatment due to its characteristics, including the absence of additional equipment, strong privacy protection, and comprehensive coverage area. However, due to the high complexity involved in WiFi signal detection and human activity, the recognition rate of human activity based on WiFi signal detection is not ideal. To effectively explore the mapping relationship between WiFi signal variations and human activity, this paper proposes a TSACT model(Combined Time and Space Domain Information for Human Activity Detection). The TSACT model recognizes that CSI signals encompass both temporal and spatial feature information, and relying on information from only one dimension may result in the omission of critical data, thereby affecting the final activity recognition rate. Therefore, TSACT integrates temporal and spatial characteristics to identify human activities. In the conclusion of the paper, the recognition rates of human activities using temporal features, spatial features, and the TSACT model are compared. The proposed scheme achieves a higher recognition rate. © 2024 IEEE.

关键词： Wi-Fi

来源：评论

学校读者我要写书评

暂无评论

Differential Scheme for Reconfigurable Intelligent Surface-Based Spatial Modulation System

引用

China Communications 2023年第10期20卷 100-108页

作者： Han Hai Si Wei Xueqin Jiang Yuyang Peng Mohsen Guizani College of Information and Science Technology Donghua UniversityShanghai 201620China School of Computer Science and Engineering Macao University of Science and TechnologyMacao 999078China Mohammad Bin Zayed University of Artificial Intelligence Abu DhabiUAE

In this paper,a differential scheme is proposed for reconfigurable intelligent surface(RIS)assisted spatial modulation,which is referred to as RISDSM,to eliminate the need for channel state information(CSI)at the *** proposed scheme is an improvement over the current differential modulation scheme used in RIS-based systems,as it avoids the high-order matrix calculation and improves the spectral efficiency.A mathematical framework is developed to determine the theoretical average bit error probability(ABEP)of the system using *** detection complexity of the proposed RIS-DSM scheme is extremely low through the ***,simulations results demonstrate that the proposed RIS-DSM scheme can deliver satisfactory error performance even in low signal-to-noise ratio environments.

关键词： reconfigurable intelligent surface(RIS) differential scheme spatial modulation(SM) detection complexity

来源：评论

学校读者我要写书评

暂无评论

Cloud datacenter Selection Using Service Broker Policies:A Survey

引用

computer Modeling in Engineering & sciences 2024年第4期139卷 1-41页

作者： Salam Al-E’mari Yousef Sanjalawe Ahmad Al-Daraiseh Mohammad Bany Taha Mohammad Aladaileh Department of Information Security Faculty of ITUniversity of PetraAmman11196Jordan Department of Cybersecurity School of ITAmerican University of Madaba(AUM)Amman11821Jordan Department of Computer Science School of ITAmerican University of Madaba(AUM)Amman11821Jordan Department of Data Science and Artificial Intelligence School of ITAmerican University of Madaba(AUM)Amman11821Jordan

Amid the landscape of Cloud Computing(CC),the Cloud datacenter(DC)stands as a conglomerate of physical servers,whose performance can be hindered by bottlenecks within the realm of proliferating CC services.A linchpin in CC’s performance,the Cloud Service Broker(CSB),orchestrates DC *** to adroitly route user requests with suitable DCs transforms the CSB into a bottleneck,endangering service *** tackle this,deploying an efficient CSB policy becomes imperative,optimizing DC selection to meet stringent Qualityof-Service(QoS)*** numerous CSB policies,their implementation grapples with challenges like costs and *** article undertakes a holistic review of diverse CSB policies,concurrently surveying the predicaments confronted by current *** foremost objective is to pinpoint research gaps and remedies to invigorate future policy ***,it extensively clarifies various DC selection methodologies employed in CC,enriching practitioners and researchers *** synthetic analysis,the article systematically assesses and compares myriad DC selection *** analytical insights equip decision-makers with a pragmatic framework to discern the apt technique for their *** summation,this discourse resoundingly underscores the paramount importance of adept CSB policies in DC selection,highlighting the imperative role of efficient CSB policies in optimizing CC *** emphasizing the significance of these policies and their modeling implications,the article contributes to both the general modeling discourse and its practical applications in the CC domain.

关键词： Cloud computing cloud service broker datacenter selection quality-of-service user request

来源：评论

学校读者我要写书评

暂无评论

A Comprehensive Survey of Image Generation Models Based on Deep Learning

引用

Annals of data science 2025年第1期12卷 141-170页

作者： Li, Jun Zhang, Chenyang Zhu, Wei Ren, Yawei Artificial Intelligence Security Innovation Team Beijing Information Science and Technology University Beijing100192 China School of Information Management Beijing Information Science and Technology University Beijing100192 China

In recent years, generative artificial intelligence has been developing rapidly. In the image domain, image generation models based on deep learning have made remarkable achievements. Early frameworks for image generation models were dominated by generative adversarial networks (GANs) and variational autoencoders (VAEs). Nowadays, large-scale generative models based on diffusion models have become mainstream, and the quality of their generated images is significantly improved. We will review the research and development of image generation models and delve into the significant progress made in the field in recent years. Initially, we revisit the development of traditional image generation models like GANs and VAEs, emphasizing their contributions and challenges. We also introduce diffusion models, which have received much attention in the field of image generation due to their unique generative process and excellent generative performance. Subsequently, we emphasized the large vision models with SAM as the focal point. We also pay special attention to large-scale generative models like Stable Diffusion, which have demonstrated unprecedented capabilities in high-quality image generation tasks. Additionally, we explore target models and respective fine-tuning methods for domain-oriented image generation tasks, predicts future directions in image generation, and proposes potential research focuses and challenges. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Decision making

来源：评论

学校读者我要写书评

暂无评论

Transfer Learning Based Yogic Posture Recognition System Using Deep Pre-trained Features

引用

SN computer science 2024年第6期5卷 746页

作者： Rajendran, Arun Kumar Sethuraman, Sibi Chakkaravarthy School of Computer Science and Engineering VIT-AP University School of Computer Science & amp Engineering and Center of Excellence Artificial Intelligence and Robotics (AIR) VIT-AP University

Yoga is a healthy exercise that focuses on physical, psychological, and divine connections. However, engaging in yoga while adopting poor postures might result in health issues like muscle discomfort and sprains. Discovering the specific posture amid an activity is still a very challenging and complicated task in artificial intelligence. With the aid of transfer learning, a model which can identify the yogic posture from images has been constructed in this work. In this approach, sixteen postures of yogic data are collected, and then pre-processing techniques are used to resize the images. This work employs the transfer learning method to extract the features from popular convolutional neural network architectures such as VGG16, VGG19, InceptionV3, Xception, MobileNet, and MobileNetV2;all are pre-trained on the ImageNet database. Extracted features are fed to machine learning models like Naive Bayes (NB), Support Vector Machine (SVM), Random Forest (RF), and Extreme Gradient Boosting (XGBoost) for classification. The linear SVM-based classifier, trained on features extracted by MobileNet, performs better than its rivals with an accuracy of 99.92%. In total, six transfer learning models are exploited in this yogic posture classification approach and yield encouraging results in terms of prediction accuracy. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024.

关键词： InceptionV3 MobileNet MobileNetV2 NB RF SVM Transfer learning VGG16 VGG19 Xception XGBoost Yoga posture classification

来源：评论

学校读者我要写书评

暂无评论

MQTT-Based Internet of Things Smart Home Linkage Control System 3

MQTT-Based Internet of Things Smart Home Linkage Control Sys...

引用

3rd International Conference on Electronics and Information technology, EIT 2024

作者： Zhao, Jiaqi Sun, Lin Fan, Haifeng Tianjin University of Science and Technology School of Artificial Intelligence Tianjin China

ISBN: (纸本)9798350369151

The core architecture of the system designed in this paper is based on STM32 micro-controller, integrated with DHT11 temperature and humidity sensor, BH1750 light intensity detector and other components, and utilizes the integrated Wi-Fi module of ESP8266 to communicate with AliCloud IoT platform. The system uses the MQTT protocol to send data to the platform, and through the developed WeChat applet, combined with AliCloud's cloud product streaming function, the data is transmitted to the mobile terminal to realize the remote data storage function. In addition, the system also embeds the SG90 servo drive unit as an analog component of the robotic arm operating system, and collaborates with the ESP32-CAM remote video monitoring device to realize all-round detection and control, providing convenience for people's lives. © 2024 IEEE.

关键词： Humidity sensors

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：