检索结果-内蒙古大学图书馆

20th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2021

作者： Kinsner, Witold Zhu, Haibin Baciu, George Luo, Guiming Rubio, Fernando Sui, Jie Huang, Runhe Hiraishi, Hironori Peng, Jun Chen, Liang Univ. of Manitoba FI2CICC Dept of ECE Winnipeg Canada Nipissing University FI2CICC ON Canada Hong Kong Polytechnic University FI2CICC Dept. of Computing Hong Kong Tsinghua University FI2CICC Software Institute Beijing China Complutense Univ. of Madrid FI2CICC Dept. of Computer Systems and Computation Spain Aberdeen University FI2CICC Aberdeen United Kingdom Hosei University FI2CICC Faculty of Computer and Information Sciences Japan Ashikaga University Faculty of Engineering Tochigi326-8558 Japan Chongqing Univ. of Science and Technology FI2CICC School of AI Chongqing China Univ. of Northern British Columbia Dept. of Computer Science BC Canada

ISBN: (纸本)9781665421195

Cognitive Computing (CC) is a contemporary field of fundamental intelligence theories and general AI technologies triggered by the transdisciplinary development in intelligence, computer, brain, knowledge, cognitive, robotic, and cybernetic sciences for engineering implementations. This paper presents a summary of the plenary panel (Part II) on the theoretical foundations of CI/CC and recent breakthroughs in AI engineering reported in the 20th IEEE International ICCI*CC Conference (ICCI*CC'21). The latest advances in CI and CC towards general AI are presented by twenty-Two distinguished panelists. Strategic AI engineering applications in CI, CC, and cognitive systems are elaborated for abstract intelligence, cognitive robots, autonomous systems, intelligent vehicles, and safety-And-mission-critical systems. © 2021 IEEE.

关键词： Cognitive systems

来源：评论

学校读者我要写书评

暂无评论

The current research of IoT security 4

The current research of IoT security

引用

4th IEEE International Conference on Data science in Cyberspace, DSC 2019

作者： Zhang, Jian Chen, Huaijian Gong, Liangyi Cao, Jing Gu, Zhaojun School of Computer Science and Engineering Tianjin University of Technology Tianjin China School of Software and BNRist Tsinghua University Beijing China Tianjin Information System Security and Confidentiality Evaluation Center Tianjin China Information Security Evaluation Center of Civil Aviation Civil Aviation University of China Tianjin China

ISBN: (纸本)9781728145280

In recent years, the development of the Internet of Things technology has been very rapid. However, with the explosive growth of IoT devices, the challenges facing the IoT environment are becoming more and more serious. How to ensure the security of the IoT becomes a key issue. The primary purpose of IoT security is to protect private data and ensure the security of IoT users, infrastructure, data and devices. This paper reviews the threat challenges and IoT security models at each level of the Internet of Things in recent years and discusses some of the past and future solutions. At first, the IoT security threats are systematically introduced from the perspectives of physics, network and data. In addition, the mainstream IoT security model is introduced. Then we introduce solutions to IoT threats from three perspectives, including IoT access control, intrusion detection and distribution methods. In the end, the paper introduces the current IoT security model has not formed a unified standard and expresses a future expectation for the development of future security model. © 2019 IEEE.

关键词： Network security

来源：评论

学校读者我要写书评

暂无评论

A survey: Cloud data security based on blockchain technology 4

A survey: Cloud data security based on blockchain technology

引用

4th IEEE International Conference on Data science in Cyberspace, DSC 2019

作者： Xu, Hang Cao, Jing Zhang, Jian Gong, Liangyi Gu, Zhaojun School of Computer Science and Engineering Tianjin University of Technology Tianjin China Tianjin Information System Security and Confidentiality Evaluation Center Tianjin China School of Software and BNRist Tsinghua University Beijing China Information Security Evaluation Center of Civil Aviation Civil Aviation University of China Tianjin China

ISBN: (纸本)9781728145280

The development of cloud computing technology is becoming more and more mature, but its security problems are always accompanied by it. As an emerging technology, blockchain has the characteristics of decentralization, distributed fault tolerance, and trustworthiness. Applying blockchain technology to solve cloud security problems is a very promising direction, and it is used for protecting cloud data security currently. This paper first analyzes the security threats in the cloud, then briefly introduces the blockchain technology, summarizes the classification of the current blockchain technology to solve the cloud data security problems and defects existed. Finally, a new cloud forensic storage architecture model based on blockchain technology is proposed to protect the cloud data, which lays a foundation for our future research. © 2019 IEEE.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

Overview of IoT security architecture 4

Overview of IoT security architecture

引用

4th IEEE International Conference on Data science in Cyberspace, DSC 2019

作者： Zhang, Jian Jin, Huanran Gong, Liangyi Cao, Jing Gu, Zhaojun School of Computer Science and Engineering Tianjin University of Technology Tianjin China School of Software and BNRist Tsinghua University Beijing China Tianjin Information System Security and Confidentiality Evaluation Center Tianjin China Information Security Evaluation Center of Civil Aviation Civil Aviation University of China Tianjin China

ISBN: (纸本)9781728145280

In the Internet of Things, services can be provisioned using centralized architectures, where central entities acquire, process, and provide information. Alternatively, distributed architectures, where entities at the edge of the network exchange information and collaborate with each other in a dynamic way, can also be used. In order to understand the applicability and viability of this distributed approach, it is necessary to know its advantages and disadvantages not only in terms of security and privacy challenges. The purpose of this paper is to show that IoT three-layer security logic architecture and the distributed approach has various challenges that need to be solved, but also various interesting properties and strengths. It also focuses on security issues such as privacy protection and intrusion detection, etc. We also propose a high-level security management scheme based on blockchain for different IoT devices in the full life cycle. It also summarizes the main causes of the deficiencies and security problems in existing research work. © 2019 IEEE.

关键词： Intrusion detection

来源：评论

学校读者我要写书评

暂无评论

MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results

arXiv

引用

arXiv 2022年

作者： Zhu, Yurui Wang, Xi Fu, Xueyang Hu, Xiaowei Hu, Jinfan Liu, Xina Chen, Xiangyu Dong, Chao Zhang, Dafeng Huang, Feiyu Liu, Shizhuo Wang, Xiaobing Jin, Zhezhu Jiang, Xuhao Shao, Guangqi Wang, Xiaotao Lei, Lei Zhang, Zhao Zhao, Suiyi Zheng, Huan Gao, Yangcheng Wei, Yanyan Ren, Jiahuan Huang, Tao Fang, Zhenxuan Huang, Mengluan Xu, Junwei Zhang, Yong Yang, Yuechi Shu, Qidi Yang, Zhiwen Li, Shaocong Yao, Mingde Xu, Ruikang Guan, Yuanshen Huang, Jie Xiong, Zhiwei Zhu, Hangyan Liu, Ming Liu, Shaohui Zuo, Wangmeng Jia, Zhuang Song, Binbin Song, Ziqi Mao, Guiting Hou, Ben Liu, Zhimou Ke, Yi Ouyang, Dengpei Han, Dekui Zhang, Jinghao Zhu, Qi Zheng, Naishan Zhao, Feng Jin, Wu Conde, Marcos Nathan, Sabari Timofte, Radu Xu, Tianyi Xu, Jun Hrishikesh, P.S. Puthussery, Densen Jiji, C.V. Biao, Jiang Yuhan, Ding Zhang, Li Wan Xiaoyue, Feng Sijing, Chen Tianheng, Zhong Lu, Jiyang Chen, Hongming Fan, Zhentao Chen, Xiang University of Science and Technology of China China Shanghai Ai Laboratory China Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences China University of Macau China Samsung Research China Beijing China Xiaomi Beijing China Hefei University of Technology China School of Artificial Intelligence Xidian University China School of Remote Sensing and Information Engineering Wuhan University China State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University China Harbin Institute of Technology China Changsha Research Institute of Mining and Metallurgy China Tianjin University China University of Wurzburg Computer Vision Lab Germany Couger Inc. Japan School of Statistics and Data Science Nankai University China Founding Minds Software India Department of Electronics and Communication Srm University Fudan University China Shenyang Aerospace University China Nanjing University of Science and Technology China

Developing and integrating advanced image sensors with novel algorithms in camera systems are prevalent with the increasing demand for computational photography and imaging on mobile platforms. However, the lack of high-quality data for research and the rare opportunity for in-depth exchange of views from industry and academia constrain the development of mobile intelligent photography and imaging (MIPI). To bridge the gap, we introduce the first MIPI challenge including five tracks focusing on novel image sensors and imaging algorithms. In this paper, we summarize and review the Under-Display Camera (UDC) Image Restoration track on MIPI 2022. In total, 167 participants were successfully registered, and 19 teams submitted results in the final testing phase. The developed solutions in this challenge achieved state-of-the-art performance on Under-Display Camera Image Restoration. A detailed description of all models developed in this challenge is provided in this paper. More details of this challenge and the link to the dataset can be found at https://***/mipi-challenge/MIPI2022. Copyright © 2022, The Authors. All rights reserved.

关键词： Image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Edge Caching Replacement Optimization for D2D Wireless Networks via Weighted Distributed DQN

Edge Caching Replacement Optimization for D2D Wireless Netwo...

引用

IEEE Conference on Wireless Communications and Networking

作者： Ruibin Li Yiwei Zhao Chenyang Wang Xiaofei Wang Victor C. M. Leung Xiuhua Li Tarik Taleb College of Intelligence and Computing Tianjin University Tianjin China College of Computer Science and Software Engineering Shenzhen University Shenzhen China College of Intelligence and Computing Chongqing University Chongqing China School of Electrical Engineering Aalto University Helsinki Finland

ISBN: (数字)9781728131061

ISBN: (纸本)9781728131078

Duplicated download has been a big problem that affects the users' quality of service/experience (QoS/QoE) of current mobile networks. Edge caching and Device-to-Device communication are two promising technologies to release the pressure of repeated traffic downloading from the cloud. There are many researches about the edge caching policy. However, these researches have some limitations in the real scenarios. Traditional methods are lacking the self-adaptive ability in the dynamic environment and privacy issues will occur in centralized learning methods. In this paper, based on the virtue of Deep Q-Network (DQN), we propose a weighted distributed DQN model (WDDQN) to solve the cache replacement problem. Our model enables collaboratively to learn a shared predictive model. Trace-driven simulation results show that our proposed model outperforms some classical and state-of-the-art schemes.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A comparative study of different denoising techniques in digital image processing 8

A comparative study of different denoising techniques in dig...

引用

8th International Conference on Modeling Simulation and Applied Optimization, ICMSAO 2019

作者： Ahmad, Kamran Khan, Jawad Iqbal, Muhammad Salah Ud Din School of Electronics Information and Engineering Tianjin Polytechnic University Tianjin300387 China School of NARI Electric and Automation Nanjing Normal University Nanjing210042 China School of Computer Science Bahaudin Zakariya University Multan Sub-campus Sahiwal Pakistan

ISBN: (纸本)9781538676844

The quality of image usually depends on various factors including noise, light, and temperature. Noise has a decisive role in the image as it is constantly present in different digital images. Noise implication may present during the image coding, transmission and development process. Noise removal has become an eye-catching and dynamic field in the Image processing domain. There is a significant recent advance in filtering of different kinds of noises for digital image processing. In this paper the problem of de-blurring in the presence of various noises is studied. A comparison among various filtering techniques is made in the presence of different kinds of noises. The experiments show that the Adaptive filter method performance is appealing both visually and in terms of objective quality measures that as the color peak-signal-to-noise ratio (CPSNR) and the mean square error (MSE) for Gaussian noise, Speckle noise, Poisson noise, while median filter demonstrates the visual objectives for salt and pepper noise. © 2019 IEEE.

关键词： Salt and pepper noise

来源：评论

学校读者我要写书评

暂无评论

Generalized Lag Output Synchronization of the Multiple Output Coupled Complex Dynamical Networks

Generalized Lag Output Synchronization of the Multiple Outpu...

引用

第三十八届中国控制会议

作者： Lin-Hao Zhao Shun-Yan Ren Yi-Wei Shi Ye-Peng Liu School of Computer Science and Technology Tianjin Polytechnic University School of Mechanical Engineering Tianjin Polytechnic University

The generalized lag output synchronization for a complex dynamical network with multiple output couplings is investigated in the present paper, in which the output matrix is positive definite or semi-positive definite. By selecting an appropriate controller and Lyapunov functional and employing inequality techniques, a sufficient condition is obtained to guarantee the generalized lag output synchronization of the complex network with positive definite output matrix. Moreover, we also use the similar method to study the case that output matrix is semi-positive definite. Lastly, two numerical examples are given to demonstrate the effectiveness of the proposed criteria.

关键词： Complex Networks Generalized Lag Output Synchronization Multiple Output Couplings Output Matrix

来源：评论

学校读者我要写书评

暂无评论

Adaptive Control for Passivity and Synchronization of Coupled Reaction-Diffusion Neural Networks with Multiple State Couplings

Adaptive Control for Passivity and Synchronization of Couple...

引用

第三十八届中国控制会议

作者： Lu Wang Shun-Yan Ren Yu Zhang School of Computer Science and Technology Tianjin Polytechnic University School of Mechanical Engineering Tianjin Polytechnic University

In this paper, a coupled reaction-diffusion neural networks with multiple state couplings is presented. By selecting appropriate adaptive control scheme and employing inequality techniques, several passivity conditions for the proposed network model are given. In addition, a sufficient condition for ensuring the synchronization of the proposed network model is also established by exploiting the output-strictly passivity. Finally, we give a numerical example to verify the effectiveness of the derived criteria.

关键词： Passivity Synchronization Coupled Reaction-Diffusion Neural Networks Multiple State Couplings

来源：评论

学校读者我要写书评

暂无评论

Task Offloading for Automatic Speech Recognition in Edge-Cloud Computing Based Mobile Networks

Task Offloading for Automatic Speech Recognition in Edge-Clo...

引用

IEEE Symposium on computers and Communications (ISCC)

作者： Shitong Cheng Zhenghui Xu Xiuhua Li Xiongwei Wu Qilin Fan Xiaofei Wang Victor C. M. Leung School of Big Data & Software Engineering Chongqing University Chongqing China Department of Electronic Engineering The Chinese University of Hong Kong Hong Kong SAR China College of Intelligence and Computing Tianjin University Tianjin China College of Computer Science & Software Engineering Shenzhen University Shenzhen China Dept. Electrical and Computer Engineering The University of British Columbia Vancouver Canada

ISBN: (数字)9781728180861

ISBN: (纸本)9781728180878

Explosively increasing multimedia services and applications, e.g., automatic speech recognition (ASR), have aggravated the burden on the cloud server in mobile networks. To address the challenge, mobile edge computing has emerged for partially alleviating the workload of the cloud server and enhancing the quality of service of mobile users. In this paper, we aim to employ the technique of edge-cloud computing to accelerate the processing of ASR tasks generated by users in mobile networks. Particularly, we deploy a convolutional neural network based encoder in each edge server to extract features of the audio data. Based on certain network constraints (i.e., user association and edge servers' storage/computing capacity), we propose a low-complexity and distributed iterative greedy method to address the formulated nonlinear mixed-integer nonconvex optimization problem. Simulation results demonstrate the effectiveness of the proposed scheme on reducing the total delay in the network.

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：