检索结果-内蒙古大学图书馆

Consumer Communications and Networking Conference, CCNC IEEE

作者： Ines Brosso Graca Bressan Wilson V. Ruggiero College of Computation and Informatics Mackenzie Presbyterian University Sao Paulo Brazil Laboratory of Computer Architecture and Networks Department of Computer and Digital System Engineering Polytechnic of São Paulo University Brazil

This paper presents KUCAS (Known User Continuous Authentication system), a work-in-progress security system, that has a continuous authentication mechanism of users/consumers. The KUCAS system makes use of environmental context information, users behavior analysis, the behavior theories of Skinner and the Mathematical Confidence of Dempster-Shafer Evidences Theory, that establishes trust levels to authenticate the user by his behavior analysis, during an application software, in a specific domain of the computer networks, in a period of time. The dynamics of enclosed management in this system compares the current behavior with the user's previous behaviors description and with the trust restrictions. In case of indications of changes in the user's behavior, the system provides the behavior analysis of the user using database restrictions information. If there are uncertainties and divergences, mechanisms of security and alert signals are triggered.

关键词： Authentication Application software Information security Information analysis Data security computer security Humans computer networks Peer to peer computing History

来源：评论

学校读者我要写书评

暂无评论

Automatic detection and classification algorithm of thyroid nodules in CT images based on YOLOv5s 9

Automatic detection and classification algorithm of thyroid ...

引用

9th International Conference on computer and Communications, ICCC 2023

作者： Guo, Ruifeng Xu, Lei Guo, Jiahui Wang, Hongliang Shenyang Institute of Computing Technology Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Shenyang China Liaoning Prov. Human-Computer Interaction System Engineering Research Center Based on Digital Twin Shenyang China The First Hospital of China Medical University Department of Endocrinology and Metabolism Shenyang China

ISBN: (纸本)9798350317251

Thyroid nodular lesions are one of the most common diseases in the population. As the number of patients increases, it is clinically important to provide physicians with an accurate early aid to determine the benignity and malignancy of thyroid nodules in order to avoid unnecessary surgery and reduce patient burden. In this paper, we propose an improved Yolov5s-based target detection algorithm for benign and malignant thyroid nodules for thyroid nodule classification and identification. Replacing the backbone network of Yolov5s with ResNet18 to reduce the complexity of the model and the number of parameters;introducing the CBAM attention mechanism into the Yolov5s algorithm to improve the ability to extract features;Modify the spatial pyramid pooling module SPP to SimSPPF to improve the training speed of the algorithm;replace GIoU Loss with CIoU-Focal Loss as the loss function of the algorithm to improve the localization accuracy while increasing the regression rate of the bounding box. The experimental results show that the improved Yolov5s achieved an average accuracy of 92.9%, which is 2.9 percentage points higher than the average accuracy of the original algorithm, and can effectively improve the accuracy and efficiency of nodule detection. © 2023 IEEE.

关键词： computerized tomography

来源：评论

学校读者我要写书评

暂无评论

Rotation Invariant Multiple Face-detection Architecture for Smart TV

引用

IERI Procedia 2014年 6卷 33-38页

作者： Jeahoon Choi Seong Joon Yoo Sung Wook Baik Ho Chul Shin Dongil Han Depertment of Computer Engineering Sejong University Seoul Korea Digital Contents Research Institute Sejong University Seoul Korea Robot Cognitive System Research Department Electronics and Telecommunications Research Institute (ETRI) Daejeon Korea

This paper suggests a design of high quality real-time rotation face detection architecture for gesture recognition of smart TV. For high performance rotated face detection, the multiple-MCT(Modified Census Transform) architecture, which is robust against lighting change, was used. The Adaboost learning algorithm was used for creating optimized learning data. The proposed hardware structure was composed of Color Space Converter, Image Resizer, Noise Filter, Memory Controller Interface, Image Rotator, Image Scaler, MCT Generator, Candidate Detector, Confidence Switch, Confidence Mapper, Position Resizer, Data Grouper, Overlay Processor and Color Overlay Processer. As a result, suggested face detection device can conduct real-time processing at speed of at least 30 frames per second.

关键词： MCT Adaboost FPGA Face detection Rotation Inariance

来源：评论

学校读者我要写书评

暂无评论

Rotation Invariant Multiple Face-Detection Architecture for Smart TV

Rotation Invariant Multiple Face-Detection Architecture for ...

引用

2013 International Conference on Future Software engineering and Multimedia engineering(ICFM 2013)

作者： Jeahoon Choi Seong Joon Yoo Sung Wook Baik Ho Chul Shin Dongil Han Depertment of Computer Engineering Sejong University Digital Contents Research Institute Sejong University Robot Cognitive System Research DepartmentElectronics and Telecommunications Research Institute(ETRI)

关键词： MCT Adaboost FPGA Face detection Rotation Inariance

来源：评论

学校读者我要写书评

暂无评论

The Design of HD Image Rectification Architecture Using Floating Point IP

引用

IERI Procedia 2014年 6卷 39-44页

作者： Dongil Han Jeahoon Choi Seong Joon Yoo Sung Wook Baik Ho Chul Shin Depertment of Computer Engineering Sejong University Seoul Korea Digital Contents Research Institute Sejong University Seoul Korea Robot Cognitive System Research Department Electronics and Telecommunications Research Institute (ETRI) Daejeon Korea

This paper proposes a real-time HD stereo images rectification hardware design architecture in order to remove vertical parallax of images caused by distortion within the cameras and alignment between them. After calculating calibration parameters of images using Matlab Toolbox designed by J.Y Bouguet as a prior step for the above purpose, the researcher designed rectification hardware based on the algorithms of Heikkilä and Silven. When stereo cameras are installed, it becomes difficult to find corresponding points owing to geometric errors between the cameras. However, in case corresponding points are located in the same line in two images, corresponding points can be found only in the line and therefore calculation becomes simple and errors are reduced. The line where the corresponding points are situated is called an epipolar line. In order to make the lines become an epipolar line, geometric image transformation technique called rectification should be used. Here, in order to heighten precision of result images, the researcher employed a floating point calculator generated using a core generator of Xilinx. Through this, it was verified that rectification hardware which has higher precision than other rectification hardware designed using a look-up table and which operates on a real-time basis may be designed.

关键词： Rectification Stereo-matching FPGA Real-time implementation Epipolar geometry

来源：评论

学校读者我要写书评

暂无评论

Inter-Channel Interference Cancellation Technique for Cdma Mobile/personal Communication Base Stations

Inter-Channel Interference Cancellation Technique for Cdma M...

引用

IEEE International Symposium on Spread Spectrum Techniques and Applications

作者： S. Kubota S. Kato K. Feher NTT Radio Communication System Laboratories Yokosuka Japan Digital Communication Laboratory Department of Electrical and Computer Engineering University of California슠Davis Davis CA USA

来源：评论

学校读者我要写书评

暂无评论

The Design of HD Image Rectification Architecture Using Floating Point IP

The Design of HD Image Rectification Architecture Using Floa...

引用

2013 International Conference on Future Software engineering and Multimedia engineering(ICFM 2013)

作者： Dongil Han Jeahoon Choi Seong Joon Yoo Sung Wook Baik Ho Chul Shin Depertment of Computer Engineering Sejong University Digital Contents Research Institute Sejong University Robot Cognitive System Research DepartmentElectronics and Telecommunications Research Institute(ETRI)

This paper proposes a real-time HD stereo images rectification hardware design architecture in order to remove vertical parallax of images caused by distortion within the cameras and alignment between them. After calculating calibration parameters of images using Matlab Toolbox designed by J.Y Bouguet as a prior step for the above purpose, the researcher designed rectification hardware based on the algorithms of Heikkil? and Silven. When stereo cameras are installed, it becomes difficult to find corresponding points owing to geometric errors between the cameras. However, in case corresponding points are located in the same line in two images, corresponding points can be found only in the line and therefore calculation becomes simple and errors are reduced. The line where the corresponding points are situated is called an epipolar line. In order to make the lines become an epipolar line, geometric image transformation technique called rectification should be used. Here, in order to heighten precision of result images, the researcher employed a floating point calculator generated using a core generator of Xilinx. Through this, it was verified that rectification hardware which has higher precision than other rectification hardware designed using a look-up table and which operates on a real-time basis may be designed.

关键词： Rectification Stereo-matching FPGA Real-time implementation Epipolar geometry

来源：评论

学校读者我要写书评

暂无评论

Telecom Fraud Detection via Imbalanced Graph Learning

Telecom Fraud Detection via Imbalanced Graph Learning

引用

International Conference on Communication Technology (ICCT)

作者： Xinxin Hu Haotian Chen Hongchang Chen Shibo Zhang Shuxin Liu Xing Li National Digital Switching System Engineering and Technological Research Center Zhengzhou China The Edward S. Rogers Sr. Department of Electrical & Computer Engineering University of Toronto Toronto Canada

In recent years, an increasing number of telecom frauds have caused huge losses to people around the world. Graph neural network(GNN) brings new possibilities for telecom fraud detection. However, due to the existence of the imbalance problem in the graph, it is difficult for general GNN models to detect a small number of positive samples. To address this problem, we design a new GNN-based fraud detector. First, we transform the node features with a multilayer perceptron. Subsequently, a reinforcement learning-based neighbor sampling strategy is designed to balance different classes of node neighbors. Then the node features are aggregated using GNN, while the focal loss function is used to measure the model error. We conducted experiments on two real-world telecom fraud datasets, and the results show that the proposed method does have competitive performance, especially for the graph imbalance problem.

关键词： Measurement uncertainty Transforms Reinforcement learning Detectors Multilayer perceptrons Graph neural networks Loss measurement

来源：评论

学校读者我要写书评

暂无评论

A Cooperative Co-Evolution Algorithm with Variable-Importance Grouping for Large-Scale Optimization 13

A Cooperative Co-Evolution Algorithm with Variable-Importanc...

引用

13th IEEE Congress on Evolutionary Computation, CEC 2024

作者： Li, Yongfeng Zhang, Yuze Ma, Lijia Ji, Junkai Liu, Dugang Leung, Victor C. M. Li, Jianqiang Shenzhen University National Engineering Laboratory for Big Data System Computing Technology Shenzhen518060 China Guangdong Laboratory of Artificial Intelligence and Digital Economy Shenzhen518123 China College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China Artificial Intelligence Research Institute Shenzhen MSU-BIT University Shenzhen518172 China The University of British Columbia Department of Electrical and Computer Engineering VancouverV6T 1Z4 Canada

ISBN: (纸本)9798350308365

Cooperative co-evolution (CC) is a promising direction in solving large-scale multiobjective optimization problems (LMOPs). However, most existing methods of grouping decision variables face some difficulties when searching in the huge search space. Specifically, the methods of grouping decision variables can be classified into two types, i.e., high-consumption grouping methods and non-consumption grouping methods. On the one hand, the former ones divide the decision variables into different groups based on the correlation analysis between variables, which consume much evaluation. This way may lead to premature convergence within limited computational resources. On the other hand, the later ones allocate the decision variables into sub-groups based on some metrics, e.g., order and size, which consume no evaluation while may cause the search fall into local optima. To alleviate the above issues, this paper proposes a CC-based algorithm with a variable-importance grouping (VIG) method, called VICCA. Firstly, the decision variables are classified into several subgroups according to their importance quantified by a meta-gene construction method. Secondly, a CC strategy is designed to simultaneously optimize all subgroups of decision variables formed by VIG using the differential evolution operator, which aims to accelerate the convergence speed. Thirdly, a global evolutionary strategy is proposed to optimize original decision variable space by the competitive swarm optimizer, aiming to maintain the diversity. Finally, the experiments demonstrate that our proposed VICCA has the significant advantage in solving LMOPs when compared with state-of-the-art evolutionary algorithms. © 2024 IEEE.

关键词： Optimization algorithms

来源：评论

学校读者我要写书评

暂无评论

The Power of Bamboo: On the Post-Compromise Security for Searchable Symmetric Encryption 30

The Power of Bamboo: On the Post-Compromise Security for Sea...

引用

30th Annual Network and Distributed system Security Symposium, NDSS 2023

作者： Chen, Tianyang Xu, Peng Picek, Stjepan Luo, Bo Susilo, Willy Jin, Hai Liang, Kaitai National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab China Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering China Cluster and Grid Computing Lab School of Computer Science and Technology China Huazhong University of Science and Technology Wuhan430074 China Digital Security Group Radboud University Nijmegen Netherlands Department of EECS Institute of Information Sciences The University of Kansas LawrenceKS United States Institute of Cybersecurity and Cryptology School of Computing and Information Technology University of Wollongong WollongongNSW2522 Australia Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft2628 CD Netherlands

ISBN: (纸本)1891562835

Dynamic searchable symmetric encryption (DSSE) enables users to delegate the keyword search over dynamically updated encrypted databases to an honest-but-curious server without losing keyword privacy. This paper studies a new and practical security risk to DSSE, namely, secret key compromise (e.g., a user’s secret key is leaked or stolen), which threatens all the security guarantees offered by existing DSSE schemes. To address this open problem, we introduce the notion of searchable encryption with key-update (SEKU) that provides users with the option of non-interactive key updates. We further define the notion of post-compromise secure with respect to leakage functions to study whether DSSE schemes can still provide data security after the client’s secret key is compromised. We demonstrate that post-compromise security is achievable with a proposed protocol called "Bamboo". Interestingly, the leakage functions of Bamboo satisfy the requirements for both forward and backward security. We conduct a performance evaluation of Bamboo using a real-world dataset and compare its runtime efficiency with the existing forward-and-backward secure DSSE schemes. The result shows that Bamboo provides strong security with better or comparable performance. © 2023 30th Annual Network and Distributed system Security Symposium, NDSS 2023. All Rights Reserved.

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：