检索结果-内蒙古大学图书馆

7th IEEE International Conference on Smart Cloud, SmartCloud 2022

作者： Chen, Lin Yu, Qingchun Liang, Wei Cai, Jiahong Zhu, Hangyu Xie, Songyou Hunan University of Science and Technology Hunan Key Laboratory for Service computing and Novel Software Technology School of Computer Science and Engineering Xiangtan China Shenzhen Research Institute Sun Yat-sen University and Novel Software Technology ShenZhen China Hunan University College of Computer Science and Electronic Engineering Changsha China

ISBN: (数字)9781665451796

ISBN: (纸本)9781665451796

With the increasing growth of electronic medical data, the difficulties of data sharing among medical institutions and the leakage of data privacy have become the focus of the public and medical workers. The blockchain has the characteristics of decentralization, traceability, and immutability, which can provide new ideas for fine-grained secure access to medical research. This article first introduces blockchain and blockchain-based privacy protection technology;then analyzes the advantages and disadvantages of electronic medical records, and introduces the current development status of electronic medical records based on blockchain technology;then from data encryption, access the three aspects of control and transaction anonymity introduce the medical data privacy protection method based on blockchain technology;finally, the full text is summarized and prospected. © 2022 IEEE.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

OSRE: Object-to-Spot Rotation Estimation for Bike Parking Assessment

arXiv

引用

arXiv 2023年

作者： Alfasly, Saghir Al-Huda, Zaid Bello, Saifullah Elazab, Ahmed Lu, Jian Xu, Chen Shenzhen Key Laboratory of Advanced Machine Learning and Applications Shenzhen University China Guangdong Key Laboratory of Intelligent Information Processing China School of Computing and Artificial Intelligent Southwest Jiaotong University China School of Biomedical Engineering Shenzhen University China

Current deep models provide remarkable object detection in terms of object classification and localization. However, estimating object rotation with respect to other visual objects in the visual context of an input image still lacks deep studies due to the unavailability of object datasets with rotation annotations. This paper tackles these two challenges to solve the rotation estimation of a parked bike with respect to its parking area. First, we leverage the power of 3D graphics to build a camera-agnostic well-annotated Synthetic Bike Rotation Dataset (SynthBRSet). Then, we propose an object-to-spot rotation estimator (OSRE) by extending the object detection task to further regress the bike rotations in two axes. Since our model is purely trained on synthetic data, we adopt image smoothing techniques when deploying it on real-world images. The proposed OSRE is evaluated on synthetic and real-world data providing promising results. Our data and code are available at https://***/OSRE/. © 2023, CC BY.

关键词： Rotation

来源：评论

学校读者我要写书评

暂无评论

Energy-Efficient In-Memory Paging for Smartphones

Energy-Efficient In-Memory Paging for Smartphones

引用

作者： Zhong, Kan Liu, Duo Liang, Liang Zhu, Xiao Long, Linbo Wang, Yi Sha, Edwin Hsing-Mean College of Computer Science Chongqing University Chongqing400044 China Key Laboratory of Dependable Service Computing in Cyber Physical Society Chongqing University Ministry of Education Chongqing400044 China College of Communication Engineering Chongqing University Chongqing400044 China College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China

Smartphones are becoming increasingly energy-hungry to support feature-rich applications, posing a lot of pressure on battery lifetime and making energy consumption a non-negligible issue. In particular, dynamic random access memory (DRAM)-based main memory subsystem is a major contributor to the energy consumption of mobile devices. In this paper, we propose direct read (DR). Swap, an energy-efficient in-memory paging design to reduce energy consumption in smartphones. In DR. Swap, we adopt emerging energy-efficient nonvolatile memory (NVM) and use it as the swap area. Utilizing NVMs byte-addressability, we propose DR which guarantees zero memory copy for read-only requests when accessing a page in swap area. To better understand the energy consumption of swapping, we build an energy model to analyze the energy consumption of different paging architectures. We evaluate DR. Swap based on the Google Nexus 5 smartphone, experimental results show that our technique can reduce more than 50% energy consumption compared to DRAM backed swapping. © 2015 IEEE.

关键词： Smartphones

来源：评论

学校读者我要写书评

暂无评论

Risk Matrix and D-S Theory Based Trustworthiness Assessment Method for Cloud services

Risk Matrix and D-S Theory Based Trustworthiness Assessment ...

引用

IEEE International Conference on Web services (ICWS)

作者： Tilei Gao Ming Yang Rong Jiang Tao Zhang Leijin Long School of Information Yunnan Key Laboratory of Service Computing Yunnan University of Finance and Economics Kunming China Institute of Intelligence Applications Faculty of Information Engineering and Automation Yunnan Key Laboratory of Service Computing Yunnan University of Finance and Economics Kunming China School of Information Yunnan University of Finance and Economics Kunming China Yunnan Key Laboratory of Service Computing Kunming China

ISBN: (数字)9798350368550

ISBN: (纸本)9798350368567

In the context of the digital economy, cloud services have become the preferred digital solutions for enterprises. However, even cloud services guaranteed by international authoritative platforms may still have numerous trustworthiness issues. The trustworthiness of cloud services has become one of the unavoidable key issues in the digital transformation process of current enterprises. This article starts from the perspective of the risks faced by cloud services, analyzes the current situation of cloud service trustworthiness, and proposes a cloud service trustworthiness assessment method based on fuzzy analytic hierarchy process, risk matrix, and D-S theory. The method can effectively assess the trustworthiness status of cloud services. It has significant research significance and practical value for users choosing cloud services to build digital systems, and monitoring and managing the trustworthiness of currently used cloud services.

关键词： Cloud computing Accuracy Web services Digital transformation Computational modeling Analytic hierarchy process Risk management Information technology Standards Monitoring

来源：评论

学校读者我要写书评

暂无评论

Efficient cube computing on an extended multidimensional model over uncertain data

Efficient cube computing on an extended multidimensional mod...

引用

International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Chunyang Wei Hongyan Li Kai Lei Tengjiao Wang Key Laboratory of High Confidence Software Technologies Ministry of Education School of Electronics Engineering and Computer Science Peking University Beijing China The Shenzhen Key Laboratory for Cloud Computing Technology and Applications (SPCCTA) Peking University Shenzhen Graduate School Shenzhen China

Data uncertainty is an inherent property in various applications due to reasons such as measurement errors, incompleteness of data and so on. While On-Line Analytical Processing (OLAP) has been a powerful method for analyzing large data warehouse, OLAP over uncertain data has become a valuable and attractive issue because of the increasingly demand for handling uncertainty in multidimensional data. In this paper, we firstly describe our UStar-Schema model that extends the traditional OLAP model to support uncertain dimension attributes in fact table, uncertain measures in fact table and uncertainty in dimension table. Then we extend the processing model of the aggregate queries and cube computing on Ustar-Schema. Secondly, we design a novel index structure called PSI-Index on UStar-Schema to improve efficiency of OLAP quering and cube computing. Furthermore, an advanced index structure called HB-Index and an efficient algorithm are proposed to accelerate iceberg cube computing based on our model using pruning techniques to eliminate huge amounts of useless computations. Finally, extensive experiments are performed to examine the efficiency and effectiveness of our proposed techniques.

关键词： Indexes Aggregates Uncertainty Computational modeling Sensors Algorithm design and analysis

来源：评论

学校读者我要写书评

暂无评论

Holistic twig joins based on Sketch Tree

Holistic twig joins based on Sketch Tree

引用

International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： JunWen Ji Yue Wang Kai Lei Tengjiao Wang Key Laboratory of High Confidence Software Technologies Ministry of Education School of Electronics Engineering and Computer Science Peking University Beijing China The Shenzhen Key Laboratory for Cloud Computing Technology and Applications (SPCCTA) Peking University Shenzhen Graduate School Shenzhen China

Due to the wide spread of XML and its importance, twig query matching, which has been identified as a core operation in querying XML data, has become a research hotspot. Although a number of algorithms have been proposed recently to process a twig query holistically, existing algorithms can be further improved with the help of the DTD file. In this paper, we (1) proposed the Sketch Tree structure according to the DTD scheme and employed it to translate the queries; (2) proposed a new labeling scheme named Sketch Dewey on the basis of the Sketch Tree to encode not only the elements in XML data but also the query; (3) designed an efficient path matching algorithm called PathCheck and a novel holistic twig join algorithm called TJumperJoin utilizing the Sketch Dewey code. To answer a query, they only need to scan the elements of leaf nodes in the query and benefitting from the Sketch Dewey labeling scheme, they can take advantage of bitwise operation to make acceleration. At last, extensive experiments are performed to examine the efficiency and effectiveness of our proposed techniques.

关键词： XML Labeling Algorithm design and analysis Pattern matching Sections Databases Finite element methods

来源：评论

学校读者我要写书评

暂无评论

Toward Wisdom-Evolutionary and Primitive-Concise 6G:A New Paradigm of Semantic Communication Networks

引用

Engineering 2022年第1期8卷 60-73页

作者： Ping Zhang Wenjun Xu Hui Gao Kai Niu Xiaodong Xu Xiaoqi Qin Caixia Yuan Zhijin Qin Haitao Zhao Jibo Wei Fangwei Zhang State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China Peng Cheng Laboratory Shenzhen 518066China Key Laboratory of Universal Wireless Communications Ministry of EducationBeijing University of Posts and TelecommunicationsBeijing 100876China Key Laboratory of Trustworthy Distributed Computing and Service Ministry of EducationBeijing University of Posts and TelecommunicationsBeijing 100876China School of Artificial Intelligence Beijing University of Posts and TelecommunicationsBeijing 100876China The School of Electronic Engineering and Computer Science Queen Mary University of LondonLondon E14NSUK College of Electronic Science and Technology National University of Defense TechnologyChangsha 410073China School of Humanities Beijing University of Posts and TelecommunicationsBeijing 100876China

The sixth generation(6G)mobile networks will reshape the world by offering instant,efficient,and intelligent hyper-connectivity,as envisioned by the previously proposed Ubiquitous-X 6G *** hyper-massive and global connectivity will introduce tremendous challenges into the operation and management of 6G networks,calling for revolutionary theories and technological *** this end,we propose a new route to boost network capabilities toward a wisdom-evolutionary and primitive-concise network(WePCN)vision for the Ubiquitous-X 6G *** particular,we aim to concretize the evolution path toward the WePCN by first conceiving a new semantic representation framework,namely semantic base,and then establishing an intelligent and efficient semantic communication(IE-SC)network *** the IE-SC architecture,a semantic intelligence plane is employed to interconnect the semantic-empowered physical-bearing layer,network protocol layer,and application-intent layer via semantic information *** proposed architecture integrates artificial intelligence and network technologies to enable intelligent interactions among various communication objects in *** features a lower bandwidth requirement,less redundancy,and more accurate intent *** also present a brief review of recent advances in semantic communications and highlight potential use cases,complemented by a range of open challenges for 6G.

关键词： 6G Semantic information Semantic communication Intelligent communication

来源：评论

学校读者我要写书评

暂无评论

EPIMR:Prediction of Enhancer-Promoter Interactions by Multi-Scale ResNet on Image Representation

引用

Big Data Mining and Analytics 2024年第3期7卷 668-681页

作者： Qiaozhen Meng Yinuo Lyu Xiaoqing Peng Junhai Xu Jijun Tang Fei Guo School of Computer Science and Technology College of Intelligence and ComputingTianjin UniversityTianjin 300350China Aeronautical Information Service Center of the Civil Aviation Administration of China(AISC.ATMB.CAAC) Beijing 100015China Center for Medical Genetics&Hunan Key Laboratory of Medical Genetics School of Life SciencesCentral South UniversityChangsha 410038China Shenzhen Institute of Advanced Technology Chinese Academy of SciencesShenzhen 518000China School of Computer Science and Engineering Central South UniversityChangsha 410083China

Prediction of enhancer-promoter interactions(EPIs)is key to regulating gene expression and diagnosing genetic *** to limited resolution,biological experiments perform not as well as expected while precisely identifying specific interactions,giving rise to computational biology *** EPI predictors have been developed,but their prediction accuracy still needs to be ***,we design a new model named EPIMR to identify enhancer-promoter ***,Hilbert Curve is utilized to represent sequences to images to preserve the position and spatial ***,a multi-scale residual neural network(ResNet)is used to learn the distinguishing features of different abstraction ***,matching heuristics are adopted to concatenate the learned features of enhancers and promoters,which pays attention to their potential interaction *** results on six cell lines indicate that EPIMR performs better than existing methods,with higher area under the precision-recall curve(AUPR)and area under the receiver operating characteristic(AUROC)results on benchmark and under-sampling ***,our model is pre-trained on all cell lines,which improves not only the transferability of cross-cell line prediction,but also cell line-specific prediction *** conclusion,our method serves as a valuable technical tool for predicting enhancer-promoter interactions,contributing to the understanding of gene transcription *** code and results are available at https://***/guofei-tju/EPIMR.

关键词： enhancer-promoter interactions Hilbert Curve multi-scale residual neural network(ResNet)

来源：评论

学校读者我要写书评

暂无评论

Heuristic Elastic Scaling for Kubernetes Heterogeneous Microservices 21

Heuristic Elastic Scaling for Kubernetes Heterogeneous Micro...

引用

21st International Conference on Networking, Sensing and Control, ICNSC 2024

作者： Wang, Song He, Sheng Ning, Yishuang Gao, Xiang Ding, Zhijun The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai201804 China The Department of Computer Science and Technology Tongji University Shanghai201804 China Kingdee Research Kingdee International Software Group Co. Ltd Shenzhen518057 China Intelligent Computing Facility Innovation Center ZhejiangLab Hangzhou30012 China

ISBN: (纸本)9798350365221

Kubernetes has become the basic platform for building cloud native applications. However, existing horizontal scaling methods based on Kubernetes have problems with resource redundancy. Furthermore, the combined horizontal and vertical scaling based on Kubernetes takes a long time. Regarding the issue above, first, we describe the execution processes of three scaling techniques and compare them in different dimensions;second, we construct a formal elastic scaling model for expansion scenarios, with the goal of minimizing the total cost;and third, we introduce a heuristic expansion algorithm after balancing resource redundancy and execution time as the heuristic information. The experiment results show that the elastic scaling algorithm proposed in this paper achieves better performance than other algorithms. © 2024 IEEE.

关键词： Cloud platforms

来源：评论

学校读者我要写书评

暂无评论

JOINT DETECTION AND CLINICAL SCORE PREDICTION IN PARKINSON'S DISEASE VIA MULTI-MODAL SPARSE LEARNING

JOINT DETECTION AND CLINICAL SCORE PREDICTION IN PARKINSON'S...

引用

International Symposium on Biomedical Imaging

作者： Haijun Lei Jian Zhang Zhang Yang Ee-leng Tan Baiying Lei Qiuming Luo College of Computer Science and Software Engineering Shenzhen University Key Laboratory of Service Computing and Applications Guangdong Province Key Laboratory of Popular High Performance Computers School of Information Engineering Shenzhen University School of Electric and Electronic Engineering Nanyang Technological University School of Biomedical Engineering Shenzhen University Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging National-Regional Key Technology Engineering Laboratory for Medical Ultrasound

ISBN: (纸本)9781509011735

In this study, a novel feature selection framework is proposed to simultaneously perform classification and clinical scores prediction of Parkinson's disease (PD) via multi-modal neuroimaging data. Specifically, a new feature selection model is devised to capture discriminative features to train support vector regression model for clinical scores (e.g., sleep scores and olfactory scores) prediction and support vector classification model for class label identification. Our method is evaluated on a public dataset of 208 subjects including 56 normal controls (NC), 123 PD and 29 scans without evidence of dopamine deficit (SWEDD) via a 10-fold cross-validation method. The experimental results demonstrate that multimodal data can effectively improve the performance in disease status identification and clinical scores prediction compared to one single modality. Our proposed method also outperforms the related methods.

关键词： Parkinson's disease Feature selection Classification Prediction Multi-modal data

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：