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Non-sequential striping encoder from replication to erasure coding for distributed storage system

Frontiers of Computer Science 2019年第6期13卷 1356-1358页

作者： Yanwen XIE Dan FENG Fang WANG Lingling ZHANG Wuhan National Laboratory for Optoelectronics School of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhan 430074China Key Laboratory of Information Storage System Engineering Research Center of Data Storage Systems and TechnologyMinistry of Education of ChinaWuhan 430074China

1 Introduction and main contributions As so many machines are clustered in datacenters,failures occur frequently[1,2].Redundancy schemes,like replication and erasure coding,are deployed to store redundant data to tolerate *** distributed systems with these two redundancy schemes,new data are hot in replication,and usually turn cold as time goes *** encoder performing the conversion can cause large overheads on network and put data in low reliability when the encoder is not well designed.

关键词： strip redundant store

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Advances in anode interfacial materials for organic solar cells

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Aggregate 2024年第4期5卷 74-95页

作者： Menglan Lv Junhua Huang Xuanyan Luo Shan Yu Xu Wang Zhuo Wang Fei Pan Bin Zhang Liming Ding Engineering Research Center for Energy Conversion and Storage Technology of Guizhou School of Chemistry and Chemical EngineeringGuizhou UniversityGuiyangChina College of Big Data and Information Engineering Guizhou UniversityGuiyangChina School of Chemical Engineering Guizhou Institute of TechnologyGuiyangChina Center for Excellence in Nanoscience(CAS) Key Laboratory of Nanosystem and Hierarchical Fabrication(CAS)National Center for Nanoscience and TechnologyBeijingChina

Organic solar cells(OSCs)have attracted much interest in the past few decades because of their advantages,such as being lightweight,low cost,simple preparation process,and environmental *** researchers have made significant progress on the active layer materials of OSCs,the interface engineering is another entry point for upgrading the photovoltaic performance of ***,the interface modification materials,including anode interfacial materials and cathode interfacial materials,are two essential parts of interfacial layers for OSCs,in which the excellent interfacial materials can realize the very high-performance photovoltaic *** these interfacial materials,the anode interfacial layers(AILs)play a crucial role in improving photovoltaic *** review expresses a detailed conclusion of the development of anode interfacial materials and an outlook on future trends for OSCs.

关键词： anode interfacial materials organic solar cells power conversion efficiency

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Hotspots and frontiers of the relationship between gastric cancer and depression:A bibliometric study

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World Journal of Gastroenterology 2023年第46期29卷 6076-6088页

作者： Jia-Yu Liu Ji-Qi Zheng Cheng-Liang Yin Wen-Pei Tang Jian-Ning Zhang Department of Neurosurgery The First Medical CentreChinese PLA General HospitalBeijing 100853China School of Health Humanities Peking UniversityBeijing 100191China Medical Big Data Research Center Medical Innovation Research Division of Chinese PLA General HospitalBeijing 100853China National Engineering Research Center for Medical Big Data Application Technology Chinese PLA General HospitalBeijing 100853China

BACKGROUND A significant relationship between gastric cancer(GC)and depression has been found in the last 20 ***,there is no comprehensive information that helps researchers find popular and potential research directions on GC and *** To determine the research status and hotspots by bibliometric analysis of relevant publications on the relationship between GC and *** We used the Web of Science Core Collection to search and collate the literature on GC and depression from 2000 to 2022 on 31 May,***,visualization analysis was performed using VOSviewer software(version 1.6.19)and the Bibliometrix package in R *** We retrieved 153 pertinent publications from 2000 to *** annual publication count showed an overall upward *** had the most prominent publications and significant contributions to this field(n=64,41.83%).Before 2020,most studies focused on“the effect of GC on the development and progression of depression in patients.”The latest research trends indicate that“the effect of depression on the occurrence and development of GC and its mechanism”will receive more attention in the *** The study of“the effect of depression on the occurrence and development of GC and its mechanism”has emerged as a novel research theme over the past two years,which may become a research hotspot in this *** study provides new insights into the hotpots and frontiers of the relationship between GC and depression,potentially guiding researchers toward hot research topics in the future.

关键词： Gastric cancer Depression Bibliometric analysis Visualization Web of Science

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A Multi-Dimensional Assessment Model and Its Application in E-learning Courses of Computer Science 20

A Multi-Dimensional Assessment Model and Its Application in ...

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21st Annual Conference of the Special Interest Group in Information technology Education, SIGITE 2020

作者： Luo, Jiwen Lu, Feng Wang, Tao Key Lab. of Parallel and Distributed Computing College of Computer National University of Defense Technology Changsha China National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781450370455

Computer science is a practical discipline. It is always a great challenge to evaluate students' computer practice using computer-aided means for large scale students. We always need to address problems such as suspected plagiarism and deviation of the overall difficulty factor. In this paper, a multi-dimensional assessment model is designed for CS courses based on the detailed practice processing data in an E-learning system. The model comprehensively evaluates the students' learning process and results in three aspects of correctness, originality, and quality detection. Besides, the teacher can easily participate in the assessment according to their needs. The correctness is an essential requirement, and the originality is based on the clustering results of students' behaviors after clone detection to curb homework plagiarism. SonarQube is used to detect code quality and put forward higher requirements for codes. Manual participation intelligence has improved the flexibility and applicability of the model to a certain extent. We applied this model on the EduCoder online education platform and carried out a comprehensive analysis of 485 students in the Parallel Programming Principles and Practice Class of Huazhong University of Science and technology. Experiment results confirm the distinction, rationality, and fairness of the model in assessing student performance. It not only gives students a credible, comprehensive score in large-scale online practical programming courses but also gives teachers and students corresponding suggestions based on the evaluation results. Furthermore, the model can be extended to other online education platforms. © 2020 ACM.

关键词： Students

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FedRKG: A Privacy-Preserving Federated Recommendation Framework via Knowledge Graph Enhancement 18th

FedRKG: A Privacy-Preserving Federated Recommendation Framew...

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18th International Conference on Green, Pervasive, and Cloud Computing, GPC 2023

作者： Yao, Dezhong Liu, Tongtong Cao, Qi Jin, Hai National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China School of Computing Science University of Glasgow Glasgow United Kingdom

ISBN: (纸本)9789819998951

Federated Learning (FL) has emerged as a promising approach for preserving data privacy in recommendation systems by training models locally. Recently, Graph Neural Networks (GNN) have gained popularity in recommendation tasks due to their ability to capture high-order interactions between users and items. However, privacy concerns prevent the global sharing of the entire user-item graph. To address this limitation, some methods create pseudo-interacted items or users in the graph to compensate for missing information for each client. Unfortunately, these methods introduce random noise and raise privacy concerns. In this paper, we propose FedRKG, a novel federated recommendation system, where a global knowledge graph (KG) is constructed and maintained on the server using publicly available item information, enabling higher-order user-item interactions. On the client side, a relation-aware GNN model leverages diverse KG relationships. To protect local interaction items and obscure gradients, we employ pseudo-labeling and Local Differential Privacy (LDP). Extensive experiments conducted on three real-world datasets demonstrate the competitive performance of our approach compared to centralized algorithms while ensuring privacy preservation. Moreover, FedRKG achieves an average accuracy improvement of 4% compared to existing federated learning baselines. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Recommender systems

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LSGraph: A Locality-centric High-performance Streaming Graph Engine 24

LSGraph: A Locality-centric High-performance Streaming Graph...

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19th European Conference on Computer systems, EuroSys 2024

作者： Qi, Hao Wu, Yiyang He, Ligang Zhang, Yu Luo, Kang Cai, Minzhi Jin, Hai Zhang, Zhan Zhao, Jin National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology China Department of Computer Science University of Warwick United Kingdom Zhejiang Lab China

ISBN: (纸本)9798400704376

Streaming graph has been broadly employed across various application domains. It involves updating edges to the graph and then performing analytics on the updated graph. However, existing solutions either suffer from poor data locality and high computation complexity for streaming graph analytics, or need high overhead to search and move graph data to ensure ordered neighbors during streaming graph update. This paper presents a novel locality-centric streaming graph engine, called LSGraph, to enable efficient both graph analytics and graph update. The main novelty of this engine is a differentiated hierarchical indexed streaming graph representation approach to achieve efficient data search and movement for graph update and also maintain data locality and ordered neighbors for efficient graph analytics simultaneously. Besides, a locality-aware streaming graph data update mechanism is also proposed to efficiently regulate the distance of data movement, minimizing the overhead of memory access during graph update. We have implemented LSGraph and conducted a systematic evaluation on both real-world and synthetic datasets. Compared with three cutting-edge streaming graph engines, i.e., Terrace, Aspen, and PaC-tree, LSGraph achieves 2.98×-81.08×, 1.46×-12.56×, and 1.26×-10.31× speedups during graph update, while obtaining 1.02×-4.28×, 1.58×-3.55×, and 1.20×-2.72× speedups during graph analytics, respectively. © 2024 Owner/Author.

关键词： Engines

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Design and application of intelligent inspection system based on micro inertial navigation technology 4

Design and application of intelligent inspection system base...

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4th International Conference on Smart City engineering and Public Transportation, SCEPT 2024

作者： Li, Shuangpin Li, Yonghua Pei, Zhuoyan Liu, Zuqiang Chen, Yuanzhu Shi, Bo Zhang, Bin Zhen, Ming Chen, Yiming Changjiang Spatial Information Technology Engineering Co. Ltd Wuhan China Hubei Water Conservancy Information Perception and Big Data Engineering Technology Research Center Wuhan China National Dam Safety Engineering Technology Research Center Wuhan China

ISBN: (数字)9781510679825

ISBN: (纸本)9781510679818

Inspection is an important means of managing the safety of water projects and an important task for ensuring the safe operation of dams. In response to issues such as scattered inspection data, severe information islands, insufficient visualization, inadequate information management, and poor timeliness in traditional manual patrol inspections, this paper has developed an intelligent safety monitoring and inspection system based on micro inertial navigation technology. The system integrates "inertial navigation + internet of things + digital map"technology, which can accurately locate the patrol route based on indoor inertial navigation positioning or outdoor GNSS positioning. Through multimedia methods such as intelligent terminals taking photos and videos, the system records inspection data and generates inspection results based on the patrol route and inspection data. This effectively improves the intelligence level of safety monitoring and patrol inspection work. engineering applications have shown that this system is worth promoting in other projects. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Inspection

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Harmonic attentive multimodal neural network for movie recommendation 4

Harmonic attentive multimodal neural network for movie recom...

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2020 4th International Workshop on Advanced Algorithms and Control engineering, IWAACE 2020

作者： Wang, J.X. Guo, Y. Qi, T.M. Tang, Q.F. Department of Computer Science and Engineering East China University of Science and Technology Shanghai200237 China Business Intelligence and Visualization Research Center National Engineering Laboratory for Big Data Distribution and Exchange Technologies Shanghai200436 China Shanghai Engineering Research Center of Big Data and Internet Audience Shanghai200072 China

A multimodal neural network based on harmonic self-attention was proposed for movie recommendation. This method can deal with the multi-source data and learn representations of users and items well. The multimodal neural network mainly consists of three sub-networks, ResNet, Bert, and LSTM. In addition, the harmonic self-attention mechanism can explore the user's preference from the perspective of time. Experimental results show that compared with other three latest recommendation methods, HSMNN shows better performance in terms of HR and NDCG. © Published under licence by IOP Publishing Ltd.

关键词： Long short-term memory

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Deployment optimization for target perpetual coverage in energy harvesting wireless sensor network

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Digital Communications and Networks 2024年第2期10卷 498-508页

作者： Zhenkun Jin Yixuan Geng Chenlu Zhu Yunzhi Xia Xianjun Deng Lingzhi Yi Xianlan Wang Wuhan Business University 430056China Wuhan Research Institute of Post and Telecommunication Wuhan430074China Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data SecuritySchool of Cyber Science and EngineeringHuazhong University of Science and TechnologyWuhan430074China Hubei Chutian Expressway Digital Technology Co.Ltd Wuhan430074China School of Information and Safety Engineering Zhongnan University of Economics and LawWuhan430073China

Energy limitation of traditional Wireless Sensor Networks(WSNs)greatly confines the network lifetime due to generating and processing massive sensing data with a limited *** energy harvesting WSN is a novel network architecture to address the limitation of traditional ***,existing coverage and deployment schemes neglect the environmental correlation of sensor nodes and external energy with respect to physical *** considering the spatial correlation of the environment and the uneven distribution of energy in energy harvesting WSN,we investigate how to deploy a collection of sensor nodes to save the deployment cost while ensuring the target perpetual *** Confident Information Coverage(CIC)model is adopted to formulate the CIC Minimum Deployment Cost Target Perpetual Coverage(CICMTP)problem to minimize the deployed sensor *** the CICMTP is NP-hard,we devise two approximation algorithms named Local Greedy Threshold Algorithm based on CIC(LGTA-CIC)and Overall Greedy Search Algorithm based on CIC(OGSA-CIC).The LGTA-CIC has a low time complexity and the OGSA-CIC has a better approximation *** simulation results demonstrate that the OGSA-CIC is able to achieve lower deployment cost and the performance of the proposed algorithms outperforms GRNP,TPNP and EENP algorithms.

关键词： Energy harvesting WSN Deployment optimization Confident information coverage(CIC) Target perpetual coverage

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Learning Human-Written Commit Messages to Document Code Changes

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Journal of Computer Science & technology 2020年第6期35卷 1258-1277页

作者： Yuan Huang Nan Jia Hao-Jie Zhou Xiang-Ping Chen Zi-Bin Zheng Ming-Dong Tang National Engineering Research Center of Digital Life School of Data and Computer ScienceSun Yat-sen University Guangzhou 510006China School of Information Engineering Hebei GEO UniversityShijiazhuang 050031China Guangdong Key Laboratory for Big Data Analysis and Simulation of Public Opinion School of Communication and DesignSun Yat-sen UniversityGuangzhou 510006China School of Information Science and Technology Guangdong University of Foreign StudiesGuangzhou 510006China Guangdong Key Laboratory of Big Data Analysis and Processing Guangzhou 510006China

Commit messages are important complementary information used in understanding code changes. To address message scarcity, some work is proposed for automatically generating commit messages. However, most of these approaches focus on generating summary of the changed software entities at the superficial level, without considering the intent behind the code changes (e.g., the existing approaches cannot generate such message:"fixing 'null' pointer exception"). Considering developers often describe the intent behind the code change when writing the messages, we propose ChangeDoc, an approach to reuse existing messages in version control systems for automatical commit message generation. Our approach includes syntax, semantic, pre-syntax, and pre-semantic similarities. For a given commit without messages, it is able to discover its most similar past commit from a large commit repository, and recommend its message as the message of the given commit. Our repository contains half a million commits that were collected from SourceForge. We evaluate our approach on the commits from 10 projects. The results show that 21.5% of the recommended messages by ChangeDoc can be directly used without modification, and 62.8% require minor modifications. In order to evaluate the quality of the commit messages recommended by ChangeDoc, we performed two empirical studies involving a total of 40 participants (10 professional developers and 30 students). The results indicate that the recommended messages are very good approximations of the ones written by developers and often include important intent information that is not included in the messages generated by other tools.

关键词： commit message recommendation code syntax similarity code semantic similarity code change comprehension

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