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A long lifetime,low error rate RRAM design with self-repair module

Journal of Semiconductors 2016年第11期37卷 94-98页

作者：尤志强胡飞黄黎明刘鹏邝继顺李实英 Key Laboratory for Embedded and Network Computing of Hunan Province College of Computer Science and Electronic EngineeringHunan University

Resistive random access memory （RRAM） is one of the promising candidates for future universal memory. However, it suffers from serious error rate and endurance problems. Therefore, exploring a technical solution is greatly demanded to enhance endurance and reduce error rate. In this paper, we propose a reliable RRAM architecture that includes two reliability modules： error correction code （ECC） and self-repair modules. The ECC module is used to detect errors and decrease error rate. The self-repair module, which is proposed for the first time for RRAM, can get the information of error bits and repair wear-out cells by a repair voltage. Simulation results show that the proposed architecture can achieve lowest error rate and longest lifetime compared to previous reliable designs.

关键词： self-repair ECC RRAM memristor

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Delay-derivative-dependent Stability Conditions for Uncertain T-S Fuzzy Systems with Interval Time-varying Delay

Delay-derivative-dependent Stability Conditions for Uncertai...

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第三十二届中国控制会议

作者： AN Ji-yao XIA Xian-zhong LI Ren-fa College of Information Science and Engineering Hunan University Key Laboratory of Embedded and Network Computing of Hunan Province Hunan University

ISBN: (纸本)9781479900305

This paper considers the problem of stability analysis of uncertain T-S fuzzy systems with interval time-varying delay. The system uncertainties are assumed to be time-varying and *** new delay-derivative-dependent stability conditions are derived by constructing a novel delay-dependent Lyapunov-Krasovskii functional and estimating a tighter upper bound of its time derivative without ignoring some useful terms and involving any direct *** proposed approach leads to some less conservative LMI conditions as shown through some numerical examples.

关键词： Uncertain systems T-S fuzzy systems Stability Lyapunov-Krasovskii Functional(LKF) LMI

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Reliability-driven real-time task replication for fault tolerance in hierarchical scheduling multiprocessor systems

Reliability-driven real-time task replication for fault tole...

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IET International Conference on Information and Communications Technologies, IETICT 2013

作者： Liu, Lin Li, Renfa Li, Rui Xie, Yong Zeng, Qingguang Key Laboratory for Embedded and Network Computing of Hunan Province Hunan University Changsha China

ISBN: (纸本)9781849196536

The increasing complexity of systems poses a big challenge to design systems with fault-tolerant capability. The aim of this study was to establish fault-tolerant system for multiprocessor platform with the help of hierarchical scheduling framework. A mathematical fault and reliability model for hierarchical scheduling framework was proposed firstly, and then a heuristic algorithm by exploiting the difference of task resource overhead and the probability of task failures was presented and a task replication scheme was given lastly. The experimental results demonstrated the proposed scheme could effectively guarantee reliability goal and reduce resource consumption simultaneously.

关键词： Fault tolerance

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An Efficient Three-Factor Privacy-Preserving Authentication and key Agreement Protocol for Vehicular Ad-Hoc network

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China Communications 2021年第12期18卷 315-331页

作者： Tao Xu Cheng Xu Zisang Xu School of Electronic Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China Key Laboratory for Embedded and Network Computing of Hunan Province Changsha 410082China

As an indispensable part of the Intelli-gent Transportation System(ITS),the vehicular ad-hoc network(VANET)has attracted widespread atten-tion from academia and *** order to ensure the security of VANET,vehicles need to be authen-ticated before accessing the *** existing authentication protocols in VANET adopt the Trusted Authority(TA)with centralized structure which is re-sponsible for the authentication tasks of all ***,the large-scale network consume a lot of computing resources,which leads to unacceptable de-lay in message transmission in *** reducing the computational cost of TA,an efficient three-factor privacy-preserving authentication and key agreement protocol was proposed in our *** from before,the RoadSide Unit(RSU)no longer acts as an intermediate node but is responsible for assisting user authentication,which lead to the computational cost of TA is very *** formal and informal analysis,our protocol demonstrates excellent ***-pared with previous studies,our work emerges advan-tages and superiorities in the following aspects:com-putational cost,communication cost,security proper-ties and functions,message loss ratio,and message *** data and evidence indicate that our protocol is an ideal choice for large-scale VANET.

关键词： authentication vehicular ad-hoc network security three-factor

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Personalized News Recommendation Based on the Text and Image Integration

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Computers, Materials & Continua 2020年第7期64卷 557-570页

作者： Kehua Yang Shaosong Long Wei Zhang Jiqing Yao Jing Liu College of Computer Science and Electronic Engineering and Key Laboratory for Embedded and Network Computing of Hunan Province Hunan UniversityChangsha410082China Oath Verizon Company New York10007USA

The personalized news recommendation has been very popular in the news recommendation *** most research,the picture information in the news is ignored,but the information conveyed to the users through pictures is more intuitive and more likely to affect the users’reading interests than the one in the textual ***,in this paper,a model that combines images and texts in the news is *** this model,the new tags are extracted from the images and texts in the news,and based on these new tags,an adaptive tag(AT)algorithm is *** AT algorithm selects the tags the user is interested in based on the user *** particular,the AT algorithm can predict tags that a user may be interested in with the help of the tag correlation graph without any user *** proposed AT algorithm is verified by *** experimental results verified the AT algorithm regarding three evaluation indexes F1-score(F1),area under curve(AUC)and mean reciprocal rank(MRR).The recommended effect of the proposed algorithm is found to be better than those of the various baseline algorithms on real-world datasets.

关键词： News recommendation F1 AUC MRR feedback correlation graph

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Optimized roles set algorithm in distributed parallel computing system

Optimized roles set algorithm in distributed parallel comput...

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26th International Conference on Parallel Computational Fluid Dynamics, ParCFD 2013

作者： Wu, Wenkang Tang, Zhuo Key Laboratory for Embedded and Network Computing of Hunan Province Changsha Hunan 410082 China

ISBN: (纸本)9783642539619

With the rapid development of computer technology, distributed computing and parallel computing have made great progress. Distributed parallel computing system is a combination of distributed computing and parallel computing, which can provide fast solutions to information sharing and subtasks in high-speed network environment. In this paper, we propose a new access control model-Distributed Parallel computing Role Based Access Control (DPCRBAC) Model on the basis of the traditional RBAC model. We propose a new roles set assignment algorithm-Optimized Roles Set (ORS) algorithm. According to the results of simulation, the proposed algorithm ORS can effectively improve the efficiency roles and is effective in reducing role conflicts in the process of role assignment, and ensure the safety and reliability of the distributed parallel computing system. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Distributed computer systems

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Multi-Label Learning Based on Transfer Learning and Label Correlation

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Computers, Materials & Continua 2019年第7期61卷 155-169页

作者： Kehua Yang Chaowei She Wei Zhang Jiqing Yao Shaosong Long College of Computer Science and Electronic Engineering and Key Laboratory for Embedded and Network Computing of Hunan Province Hunan UniversityChangsha410082China Oath Verizon Company ManhattanNew York10007USA

In recent years,multi-label learning has received a lot of ***,most of the existing methods only consider global label correlation or local label *** fact,on the one hand,both global and local label correlations can appear in real-world situation at same *** the other hand,we should not be limited to pairwise labels while ignoring the high-order label *** this paper,we propose a novel and effective method called GLLCBN for multi-label ***,we obtain the global label correlation by exploiting label semantic ***,we analyze the pairwise labels in the label space of the data set to acquire the local ***,we build the original version of the label dependency model by global and local label *** that,we use graph theory,probability theory and Bayesian networks to eliminate redundant dependency structure in the initial version model,so as to get the optimal label dependent ***,we obtain the feature extraction model by adjusting the Inception V3 model of convolution neural network and combine it with the GLLCBN model to achieve the multi-label *** experimental results show that our proposed model has better performance than other multi-label learning methods in performance evaluating.

关键词： Bayesian networks multi-label learning global and local label correlations transfer learning

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keyphrase Generation Based on Self-Attention Mechanism

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Computers, Materials & Continua 2019年第8期61卷 569-581页

作者： Kehua Yang Yaodong Wang Wei Zhang Jiqing Yao Yuquan Le College of Computer Science and Electronic Engineering and Key Laboratory for Embedded and Network Computing of Hunan Province Hunan UniversityChangsha410082China Oath Verizon Company ManhattanNew York10007USA

keyphrase greatly provides summarized and valuable *** information can help us not only understand text semantics,but also organize and retrieve text content *** task of automatically generating it has received considerable attention in recent *** the previous studies,we can see many workable solutions for obtaining *** method is to divide the content to be summarized into multiple blocks of text,then we rank and select the most important *** disadvantage of this method is that it cannot identify keyphrase that does not include in the text,let alone get the real semantic meaning hidden in the *** approach uses recurrent neural networks to generate keyphrases from the semantic aspects of the text,but the inherently sequential nature precludes parallelization within training examples,and distances have limitations on context *** works have demonstrated the benefits of the self-attention mechanism,which can learn global text dependency features and can be *** by the above observation,we propose a keyphrase generation model,which is based entirely on the self-attention *** is an encoder-decoder model that can make up the above disadvantage *** addition,we also consider the semantic similarity between keyphrases,and add semantic similarity processing module into the *** proposed model,which is demonstrated by empirical analysis on five datasets,can achieve competitive performance compared to baseline methods.

关键词： keyphrase generation self-attention mechanism encoder-decoder framework

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An offline scheduling algorithm for certifiable mixed-critical embedded system

An offline scheduling algorithm for certifiable mixed-critic...

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26th International Conference on Parallel Computational Fluid Dynamics, ParCFD 2013

作者： Wu, Chengtao Li, Renfa Key Laboratory for Embedded and Network Computing of Hunan Province Changsha 410086 China

ISBN: (纸本)9783642539619

In modern embedded platforms, safety-critical functionalities that must be certified correctly to high level of assurance co-exist with less critical software that are not subjected to certification requirements. These caused many scheduling problems. Nowadays, many researches focused on promising techniques for meeting the following two goals: (1) being able to certify the safety-critical functionalities under very conservative assumptions, and (2) ensuring high utilization of platform resources under less pessimistic assumptions. In this paper we propose an offline scheduling algorithm called OSS for certifiable mixed-criticality systems on a uniprocessor platform. Compared to previous proposed algorithm CBEDF, OSS can supply better schedulability. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Scheduling algorithms

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The implementation of MapReduce scheduling algorithm based on priority

The implementation of MapReduce scheduling algorithm based o...

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26th International Conference on Parallel Computational Fluid Dynamics, ParCFD 2013

作者： Gu, Lianjun Tang, Zhuo Xie, Guoqi Key Laboratory for Embedded and Network Computing of Hunan Province Changsha 410082 China

ISBN: (纸本)9783642539619

Nowadays cloud computing has become a popular platform for scientific applications. Cloud computing intends to share a large scale resources and equipments of computation, storage, information and knowledge for scientific researches. Job Scheduling problem is a core and challenging research issue in the current cloud computation area, and the aim is to the reasonable control of the job execution sequence as well as the allocation of computing resources, making the job total completion time of the shortest and resources are fully utilized. Data locality is one of the main factors to influence scheduling algorithm. The paper proposed an improved scheduling algorithm based on priority, after taking full account of data locality (IPDSA), which can distinguish the user's job levels, so as to reduce the job execution time and avoid losing into locally optimal solution. The experimental results on the Hadoop platform show that the new scheduling algorithm can reduce the job average execution time, and raises the rate availability of resources. © Springer-Verlag Berlin Heidelberg 2014.

关键词： MapReduce

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