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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： ZhengXiao He Minghong Cai Letian Li Siyuan Tian Ren-Jie Dai College of Electronic and Information Engineering Tongji University Shanghai China School of Software Engineering Tongji University Shanghai China Department of Computer Science and Engineering Shanghai Jiao Tong University

ISBN: (数字)9798350386226

ISBN: (纸本)9798350386233

Motor pattern recognition paradigms are the main forms of Brain-computer Interfaces(BCI) aimed at motor function rehabilitation and are the most easily promoted applications. In recent years, many researchers have suggested encouraging patients to perform real motor control execution simultaneously in MI-based BCI rehabilitation training systems. Electromyography (EMG) signals are the most direct physiological signals that can assess the execution of movements. Multimodal signal fusion is practically significant for decoding motor patterns. Therefore, we introduce a multimodal motion pattern recognition algorithm for EEG and EMG signals: EEG-EMG FAConformer, a method with several attention modules correlated with temporal and frequency information for motor pattern recognition. We especially devise a frequency band attention module to encode EEG information accurately and efficiently. What’s more, modules like Multi-Scale Fusion Module, Independent ChannelSpecific Convolution Module(ICSCM), and Fuse Module which can effectively eliminate irrelevant information in EEG and EMG signals and fully exploit hidden dynamics are developed and show great effects. Extensive experiments show that EEGEMG FAConformer surpasses existing methods on Jeong2020 dataset, showcasing outstanding performance, high robustness and impressive stability.

关键词： Training Motor drives Fuses Convolution Motors Electromyography Electroencephalography Robustness Stability analysis Physiology

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Parallel simulation of the N-body problem using quad-tree HLPC 30

Parallel simulation of the N-body problem using quad-tree HL...

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30th European Modeling and Simulation Symposium, EMSS 2018

作者： Rossainz-López, M. Capel, Manuel I. Álvarez Martínez, E. Pineda Torres, I. Faculty of Computer Science Autonomous University of Puebla San Claudio Avenue and South 14th Street San Manuel Puebla Puebla72000 Mexico Software Engineering Department College of Informatics and Telecommunications ETSIIT University of Granada Daniel Saucedo Aranda s/n Granada18071 Spain

ISBN: (纸本)9788885741065

This work proposes the use of Parallel Objects using the model of High Level Parallel Compositions (HLPC) to implement a proposal for parallel simulation of the N-body Problem using the communication pattern between processes N-Tree under the HLPC Model. Particularly the implementation of the partitioning strategy divide and conquer as part of HLPC using the object orientation paradigm is shown. A HLPC comes from the composition of a set three object types: An object manager that represents the HLPC itself and makes an encapsulated abstraction out of it that hides the internal structure. The object manager controls a set of objects references, which address the object Collector and several Stage objects and represent the HLPC components whose parallel execution is coordinated by the object manager. With the strategy divide and conquer as HLPC the parallel processing technique N-Tree is used to parallelize sequential code that solve problems that can be partitioned by divide and conquer a N-ary Tree such the N-body problem that concerns with determining the effects of forces between "bodies". A case study of the N-body problem in terms of particles charged according to Coloumb's electrostatic law is shown, which is solved with the implementation of a new HLPC: the Quad-Tree HLPC. Finally the performance analysis of this implementation is shown comparing them with its corresponding sequential implementations to demonstrate their usefulness: programmability and performance. © Institute of Information science. All rights reserved.

关键词： Parallel programming

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Using pipeline and binary-tree as cpans for solving the sorting problem. A comparative study 28

Using pipeline and binary-tree as cpans for solving the sort...

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28th European Modeling and Simulation Symposium, EMSS 2016

作者： Rossainz-López, M. Capel, Manuel I. Carrasco-Limón, O. Sánchez-Rinza, B. Faculty of Computer Science Autonomous University of Puebla San Claudio Avenue and South 14th Street San Manuel Puebla Puebla72000 Mexico Software Engineering Department College of Informatics and Telecommunications ETSIIT University of Granada Daniel Saucedo Aranda s/n Granada18071 Spain

ISBN: (纸本)9788897999683

This paper proposes the model of the High Level Parallel Compositions or CPANS (Acronym in Spanish) to communication patterns/interaction Pipeline and Binary Tree for implementing a sorting algorithm by Structured Parallel Programming approach based on the concept of Parallel Objects. The CPANS Pipeline and TreeDV are displayed using the paradigm of object orientation and sorting problem is solved using two different algorithms;it is using a pipeline process to sort a dataset in disordered (CPAN Pipe) and one that by quick sort uses a binary tree for the ordering of the same dataset disordered by divide and conquer technique (CPAN TreeDVQS). Each proposal of CPAN contains a predefined set of restrictions of synchronization between processes (maximum parallelism, mutual exclusion and synchronization of producer-consumer type), and the use of synchronous, asynchronous and asynchronous future communication modes. Sorting algorithms, their design and implementation as CPANs and comparative performance metrics on a parallel machine 64 processors are shown.

关键词： Binary trees

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A Novel Energy-Aware Fault Tolerance Mechanism for Wireless Sensor Networks

A Novel Energy-Aware Fault Tolerance Mechanism for Wireless ...

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IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom) Green Computing and Communications (GreenCom)

作者： Meikang Qiu Jianning Liu Jiayin Li Zongming Fei Zhong Ming Edwin H.M. Sha Department of Electrical and Computer Engineering University of Kentucky Lexington KY USA Department of Computer Science University of Kentucky Lexington KY USA College of Computer Science and Software Engineering Shenzhen University Shenzhen China Department of Computer Science University of Texas at Dallas Richardson TX USA School of Information Science and Engineering Hunan University Changsha Hunan China

Sensors in a Wireless Sensor Network (WSN) are prone to failure, due to energy depletion, hardware failures, etc. Fault tolerance is one of the critical issues in WSNs. The existing fault tolerant mechanisms either consume significant extra energy to detect and recover from the failures or need to use additional hardware and software resource. In this paper, we propose a novel energy-aware fault tolerance mechanism for WSN, called Informer Homed Routing (IHR). In our IHR, the non cluster head nodes limit and select the target of their data transmission. Therefore, it consumes less energy. Our experiments show that our proposed protocol can dramatically reduce energy consumption, compared to two existing protocols, LEACH and DHR.

关键词： Wireless sensor networks Fault tolerance Fault tolerant systems Routing Energy dissipation Clustering algorithms Hardware

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A deeply protected hybrid key exchange model in wireless mesh networks

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Journal of Convergence Information Technology 2011年第5期6卷 117-126页

作者： Wei, Qian He, Jingsha Zhang, Xing Jia, Jinning College of Computer Science and Technology Beijing University of Technology Beijing 100124 China School of Software Engineering Beijing University of Technology Beijing 100124 China School of Electronics and Informatics Engineering Liaoning University of Technology Jinzhou 121001 China Department of Computer Engineering Shanxi Polytechnic College Taiyuan 030006 China

Wireless mesh networks are widely considered as a vision for the future of wireless mobile networks. In this paper, we present a deeply protected hybrid key exchange model in wireless mesh networks named DPHKE. The model uses signcryption and encryption to deeply protect the shared-key's secret material and uses keyed one-way hash function to realize key source authentication. Based on the model, we perform implementations using discrete logarithm based signcryption and elliptic curve based signcryption and show that our model can lower the computational cost and the communication overhead by at least 12.5% and 33.3%, respectively, compared to DKEUTS, SAKE and EC-SAKE.

关键词： Mesh generation

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Collaborative Multi-Agent Proximal Policy Based Resource Allocation in Clustered IoV Networks

Collaborative Multi-Agent Proximal Policy Based Resource All...

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Smart World Congress (SWC), IEEE

作者： Arif Raza Junfan Xiang Salabat Khan Shivanshu Shrivastava M. Wasim Abbas Ashraf Lu Wang College of Computer Science and Software Engineering Shenzhen University Shenzhen China College of Electronics and Information Engineering Shenzhen University Shenzhen China College of Computer and Information Engineering Qilu Institute of Technology Jinan China Department of Electrical and Electronics Engineering Rajiv Gandhi Institute of Petroleum Technology Amethi India School of Mathematics and Computer Science Hanjiang Normal University Shiyan China

ISBN: (数字)9798331520861

ISBN: (纸本)9798331520878

The Internet of Vehicles (IoV) necessitates efficient resource management to meet the growing demands for high data rates, low latency, and real-time communication in Intelligent Transportation Systems (ITS). This paper presents a novel multiagent reinforcement learning framework based on the Proximal Policy Optimization (PPO) algorithm for optimizing resource allocation in clusters of cells within IoV networks. The framework dynamically allocates transmission power and bandwidth across base stations, each acting as a collaborative agent. Extensive simulations demonstrate that the multi-agent PPO approach outperforms other reinforcement learning algorithms, including Soft Actor-Critic (SAC) and Advantage Actor-Critic (A2C), regarding throughput, power efficiency, dynamic bandwidth allocation, and overall network performance.

关键词： Base stations Heuristic algorithms Clustering algorithms Collaboration Reinforcement learning Bandwidth Resource management Vehicle dynamics Optimization Internet of Vehicles

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TRANSREGEX: Multi-modal regular expression synthesis by generate-and-repair

arXiv

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arXiv 2020年

作者： Li, Yeting Li, Shuaimin Xu, Zhiwu Cao, Jialun Chen, Zixuan Hu, Yun Chen, Haiming Cheung, Shing-Chi State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China College of Computer Science and Software Engineering Shenzhen University Shenzhen China The Hong Kong University of Science and Technology Hong Kong Science & Technology on Integrated Infomation System Laboratory Institute of Software Chinese Academy of Sciences Beijing China

Since regular expressions (abbrev. regexes) are difficult to understand and compose, automatically generating regexes has been an important research problem. This paper introduces TRANSREGEX, for automatically constructing regexes from both natural language descriptions and examples. To the best of our knowledge, TRANSREGEX is the first to treat the NLP-and-example-based regex synthesis problem as the problem of NLP-based synthesis with regex repair. For this purpose, we present novel algorithms for both NLP-based synthesis and regex repair. We evaluate TRANSREGEX with ten relevant state-of-the-art tools on three publicly available datasets. The evaluation results demonstrate that the accuracy of our TRANSREGEX is 17.4%, 35.8% and 38.9% higher than that of NLP-based approaches on the three datasets, respectively. Furthermore, TRANSREGEX can achieve higher accuracy than the state-of-the-art multi-modal techniques with 10% to 30% higher accuracy on all three datasets. The evaluation results also indicate TRANSREGEX utilizing natural language and examples in a more effective way. © 2020, CC BY.

关键词： Natural language processing systems

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Security challenges in IoT development: A software engineering perspective 17

Security challenges in IoT development: A software engineeri...

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2017 XP Scientific Workshops, XP 2017

作者： Duc, Anh Nguyen Jabangwe, Ronald Paul, Pangkaj Abrahamsson, Pekka NTNU Trondheim Sør-TrøndelagNO-7491 Norway Lero - The Irish Software Research Centre Regulated Software Research Centre Dundalk Institute of Technology Dundalk Co.Louth Ireland Department of Business Administration and Computer Science University College of Southeast Norway Bø i Telemark Norway Software Engineering Research Lab Sweden Blekinge Institute of Technology Karlskrona Sweden STATSports International 1 Courtney Hill Newry Co. Down Ireland

ISBN: (纸本)9781450352642

The rapid growth of Internet-of-things (IoT) software applications has driven both practitioners and researchers' attention to methodological approaches for secure IoT development. Security issues for IoT is special in the way that they include not only software, but also hardware and network concerns. With the aim at proposing a methodological approach for secure IoT application development, we investigated what are security challenges in the context of IoT development. We reviewed literature and investigated two industry cases. The preliminary finding results in a list of 17 security challenges with regards to technical, organizational and methodological perspectives. Cross-case comparison provides initial explanation about the less emphasis on methodological and organizational security concerns in our cases. © 2017 ACM.

关键词： Internet of things

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Intelligent computer Mathematics 1

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丛书名： Lecture Notes in computer science

1000年

作者： Johan Jeuring John A. Campbell Jacques Carette Gabriel Reis Petr Sojka Makarius Wenzel Volker Sorge

ISBN: (数字)9783642313745

ISBN: (纸本)9783642313738

This book constitutes the joint refereed proceedings of the 11th International Conference on Artificial Intelligence and Symbolic Computation, AISC 2012, 19th Symposium on the Integration of Symbolic Computation and Mechanized Reasoning, Calculemus 2012, 5th International Workshop on Digital Mathematics Libraries, DML 2012, 11th International Conference on Mathematical Knowledge Management, MKM 2012, Systems and Projects, held in Bremen, Germany as CICM 2012, the Conferences on Intelligent computer Mathematics. The 13 revised full papers out of 19 submissions for MKM 2012, 6 revised full papers out of 9 submissions for Calculemus 2012, 6 revised full papers out of 8 submissions for AISC 2012, 2 revised full papers out of 3 submissions for DML 2012, and 11 revised full papers out of 12 submissions for Systems and Project track presented were carefully reviewed and selected, resulting in 38 papers from a total of 52 submissions.

关键词： Symbolic and Algebraic Manipulation Artificial Intelligence Math Applications in computer science Mathematical Logic and Formal Languages Logics and Meanings of Programs Information Storage and Retrieval

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Mobile data management: 4th International conference, MDM 2003 Melbourne, Australia, january 21–24, 2003 proceedings 4th

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4th International Conference on Mobile Data Management, MDM 2003

作者： Chen, Ming-Syan Chrysanthis, Panos K. Sloman, Morris Zaslavsky, Arkady National Taiwan University No. 1 Sec. 4 Roosevelt Road Taipei Taiwan University of Pittsburgh Dept. of Computer Science Sennott Square Building 210 S. Bouquet Street PittsburghPA United States Imperial College of Science Technology and Medicine Department of Computing 180 Queen’s Gate London United Kingdom Monash University School of Computer Science and Software Engineering 900 Dandenong Road Caulfield East MelbourneVIC Australia

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