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Approximate Maximum Common Sub-graph Isomorphism Based on Discrete-Time Quantum Walk

Approximate Maximum Common Sub-graph Isomorphism Based on Di...

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international conference on Pattern Recognition

作者： Kai Lu Yi Zhang Kai Xu Yinghui Gao Richard C. Wilson Science and Technology on Parallel and Distributed Processing Laboratory and College of Computer National University of Defense Technology Changsha P.R. China College of Electronic Science and Engineering National University of Defense Technology Changsha P.R. China Department of Computer Science University of York York UK

Maximum common sub-graph isomorphism (MCS) is a famous NP-hard problem in graph processing. The problem has found application in many areas where the similarity of graphs is important, for example in scene matching, video indexing, chemical similarity and shape analysis. In this paper, a novel algorithm Qwalk is proposed for approximate MCS, utilizing the discrete-time quantum walk. Based on the new observation that isomorphic neighborhood group matches can be detected quickly and conveniently by the destructive interference of a quantum walk, the new algorithm locates an approximate solution via merging neighborhood groups. Experiments show that Qwalk has better accuracy, universality and robustness compared with the state-of-the-art approximate MCS methods. Meanwhile, Qwalk is a general algorithm to solve the MCS problem approximately while having modest time complexity.

关键词： Approximation algorithms Interference Algorithm design and analysis Accuracy Time complexity Quantum computing Noise

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A Self-Organizing Search Engine for RSS Syndicated Web Contents

A Self-Organizing Search Engine for RSS Syndicated Web Conte...

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international conference on Data Engineering Workshops

作者： Ying Zhou Xin Chen Chen Wang School of Information Technologies University of Sydney Australia

The exponentially growing information published on the Web relies largely on a few major search engines like Google to be brought to the public nowadays. This raises issues such as: 1. how many percents of coverage do these search engines provide for the whole shared contents over the Internet? 2. how easy is it to find less popular contents from the Web through the page ranking system of these search engines? In fact, the increasing dynamics of the information distributed on the Internet challenge the flexibility of these centralized search engines. With the amount of structured and semi-structured data increase on the Internet, self-organizing search engines that are capable of providing sufficient coverage for data that follow certain structures get more and more attractive. In this paper, we propose a self-organizing search engine soSpace for RSS syndicated web data. soSpace is built on structured peer-to-peer technology. It enables indexing and searching of frequently updated web information described by RSS feed. Our experiment results show that it has good scalability as the contents increase. The recall and precision rate of the result are satisfactory as well.

关键词： Search engines Internet Web pages Feeds Scalability Web search Peer to peer computing Indexing Buildings Information technology

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An Efficient Spectrum Sharing Approach for Cognitive radio enabled Vehicular Cloud

An Efficient Spectrum Sharing Approach for Cognitive radio e...

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international conference on Computer and Information Technology (ICCIT)

作者： Mohammad Mamun Elahi Md. Mahbubur Rahman Department of CSE United International University Dhaka Bangladesh Department of CSE Military Institute of Science and Technology Dhaka Bangladesh

ISBN: (数字)9781728158426

ISBN: (纸本)9781728158433

Vehicular ad hoc networks (VANETs) is an active area of research that enables road safety and infotainment applications for vehicular users. Although a significant amount of efforts is given in the literature, many non-trivial problems and challenges are still to be solved due to the inherent characteristics of vehicular networks like high mobility and dynamic topology change. Cognitive radio (CR) and cloud computing (CC) are two of the latest technologies used in vehicular networks to address those challenges. CR enables VANETs to deal with opportunistic spectrum management for utilizing the unused spectrum of licensed users by secondary users to solve the scarcity of spectrum. Vehicular cloud (VC) uses cloud computing to enable vehicles with excess storage or bandwidth to share the resources with other vehicles, who are willing to use that extra resource at some pre-determined rate of price. One of the main challenges of cognitive radio-enabled vehicular ad hoc networks (CR-VANETs) is efficiently assigning wireless channels to the secondary users (vehicles) on demand so that maximum vehicles can communicate with the available spectrum without interference. Many approaches have already been proposed in the literature. Centralized algorithms suffer from lack of scalability and utilization of resources. On the other hand, distributed approaches need coordination and coverage issue. In this paper, we have developed a Cognitive Radio-enabled Vehicular Cloud networking (CR-VCN) framework to assign channels in a distributed way to the vehicular cloud members to maximize efficiency in terms of overall network throughput and minimize interferences among the users. Extensive simulation and analysis shows the effectiveness of the approach in terms of some performance measures.

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Transparent Network Protocol Testing and Evaluation

Transparent Network Protocol Testing and Evaluation

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international conference on Computer Communications and Networks (ICCCN)

作者： Xiaoshuang Wang Sunil Agham Vikram Munishwar Vaibhav Nipunage Shailendra Singh Kartik Gopalan Computer Science Binghamton University Binghamton NY USA

Network protocol developers typically go through a tedious and error-prone process of testing and debugging their protocol implementation for various settings. They perform a number of tasks manually such as configuration of numerous network settings, controlled reproduction of unexpected protocol behavior, and traffic capture and analysis. We present a Protocol Testing and Evaluation System (PTES) to assist developers in transparently testing their protocol implementations. PTES enables a protocol developer to construct and execute various controlled and repeatable testing scenarios. The developer can use simple iptables- like rules to specify various local and distributed network events and actions. During protocol execution, PTES triggers these events and actions in a coordinated manner and records the protocol responses to these events which can later be examined by the developer. We present the design and implementation of three variants of PTES for native, simulated, and emulated platforms for both wired and wireless networks. We demonstrate the utility of PTES by automating the testing of TCP/IP and Optimized Link State Routing (OLSR) protocols.

关键词： Protocols Peer-to-peer computing Testing Delays Emulation IP networks Kernel

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Current Advances on Cloud-Based distributed computing for Forest Monitoring 22nd

Current Advances on Cloud-Based Distributed Computing for Fo...

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22nd international Scientific and Practical conference Information and Communication Technologies and Sustainable Development, ICT and SD 2022

作者： Shelestov, Andrii Salii, Yevhenii Hordiiko, Nataliia Yailymova, Hanna National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" Beresteiskyi Ave. 37 Kyiv03056 Ukraine Space Research Institute National Academy of Sciences of Ukraine and State Space Agency of Ukraine Glushkov Ave. 40 Kyiv03187 Ukraine

ISBN: (纸本)9783031468797

One of the most important tasks related to environmental protection is forests monitoring. Meanwhile, specialists deal with the problem of big data and the need to utilize powerful computing resources that are not always available. Cloud solutions (CREODIAS, Google Earth Engine, etc.) provide instant satellite data access and the ability to quickly and conveniently process geospatial data in the cloud and use it to search for information products. Forest monitoring is supported by the European Commission (EU project SWIFTT), the World Wildlife Fund and others. This work analyzes Sentinel-2 satellite spectral channels, which distribution of pixel values was constructed for diseased and healthy forests, and the possibility of separating these two classes was analyzed based on the Bhattacharya distance. The informativeness of time series application of the normalized difference vegetation index (ndVI) was analyzed. The assumption that the average value of ndVI decreases and the standard deviation increases when the forest changes is confirmed. Getting results for large areas will lead to a big data problem. Therefore, the structure of the pilot information system is proposed as the basis for a further cloud solution with the development of a machine (deep) learning model for forest monitoring in any territory (including Ukraine). This system allows monitoring forests dynamics based on time series of satellite data at the country level and worldwide. This will be an important step for Ukraine as a potential member of the EU in the field of providing information services and monitoring the most sensitive natural resources. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Big data

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A Practical and Privacy-Preserving Vehicular Data Sharing Framework by Using Blockchain

A Practical and Privacy-Preserving Vehicular Data Sharing Fr...

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IEEE international conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Xu Yang Ao Wang Qiuhao Wang Saiyu Qi Yong Qi School of Computer Science and Technology Xi’an Jiaotong University Xi’an China

ISBN: (数字)9798350381993

ISBN: (纸本)9798350382006

As the integration of the Internet of Vehicles and social networks, vehicular social networks (VSNs) are promising to boost the realization of intelligent transportation system. Recently, vehicular data privacy has been paid increasing attention in data sharing. Searchable encryption as a promising cryptographic primitive can be utilized to ensure vehicular data confidentiality without sacrificing data searchability. However, most vehicular data sharing schemes rely on centralized cloud servers, which are vulnerable to the single point of failure and distributed denial of service (DDoS) attacks. In this paper, we propose VehShare, a decentralized framework for privacy-preserving vehicular data sharing. We resort to the smart contract to implement a trusted platform for vehicles to share their encrypted vehicular data. To provide efficient access control, we design an authorization-based on-chain access control scheme with a lightweight cryptographic primitive. Moreover, we design a time synchronization-based non-interactive search token generation scheme to achieve efficient privacy-preserving search queries, while satisfying forward and backward security. We formally analyze the security of VehShare and extensive experiments demonstrate the efficiency of VehShare.

关键词： Data privacy Social networking (online) Smart contracts Denial-of-service attack Blockchains Encryption Servers

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Experimental and Theoretical Analysis of Deep Residual Time-Delay Reservoir computing Based on Clipping Algorithm

Experimental and Theoretical Analysis of Deep Residual Time-...

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international conference on Optical Communications and Networks (ICOCN)

作者： Changdi Zhou Nianqiang Li School of Optoelectronic Science and Engineering & Collaborative Innovation Center of Suzhou Nano Science and Technology Soochow University Suzhou China Key Lab of Advanced Optical Manufacturing Technologies of Jiangsu Province & Key Lab of Modern Optical Technologies of Education Ministry of China Soochow University Suzhou China

ISBN: (数字)9798350367652

ISBN: (纸本)9798350367669

Photonic reservoir computing (RC), as a crucial variant of recurrent neural networks, has boasted substantial potential owing to its straightforward training processes and facile hardware integration. In this work, we introduce and validate both experimentally and numerically a novel post-processing technique, referred to as the clipping algorithm (CA), utilized on the high-performance deep residual time-delay RC (DR-TDRC). The proof-of-concept model, i.e., a four-layer DR-TDRC, comprises 960 interrelated neurons (240 neurons per layer) based on four injection-locked distributed feedback lasers. Our results demonstrate that the implementation of the CA can effectively mitigate issues associated with the redundant layers and improve the performance of deep architectures.

关键词： Training Recurrent neural networks Semiconductor lasers Neurons Stacking Reservoir computing distributed feedback devices

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distributed Predictive Maintenance through Edge computing

Distributed Predictive Maintenance through Edge Computing

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IEEE international conference on Industrial Informatics (IndIN)

作者： Rakiba Rayhana Hongguang Yun Teng Wang Johnson Chen Yanshuo Fan Zheng Liu Wendy Gao The University of British Columbia Kelowna B.C. Canada Machine Leaming Developer CRWN.ai Kelowna B.C. Canada

ISBN: (数字)9798331527471

ISBN: (纸本)9798331527488

This study presents a framework for distributed predictive maintenance using the BaSyx platform and edge computing devices. By integrating predictive maintenance algorithms, the system can estimate remaining useful life, detect early faults, and identify anomalies without prior failure data. The real-time processing capabilities of edge devices, combined with a local server, aid in immediate data integration and decision-making to optimize maintenance scheduling and improve operational reliability. While vehicles are used as a specific example in this research, the proposed framework is adaptable and applicable to predictive maintenance across various industrial assets. This study provides a baseline for advanced predictive maintenance strategies

关键词： Job shop scheduling Processor scheduling Image edge detection Prediction algorithms Real-time systems Maintenance Servers Informatics Predictive maintenance Edge computing

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Access control of blockchain based on dual-policy attribute-based encryption

Access control of blockchain based on dual-policy attribute-...

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IEEE international conference on High Performance computing and Communications (HPCC)

作者： Daojun Han Jinyu Chen Lei Zhang Yatian Shen Xueheng Wang Yihua Gao Institute of Data and Knowledge Engineering School of Computer and Information Engineering Henan University Kaifeng China Henan Key Laboratory of Big Data Analysis and Processing School of Computer and Information Engineering Henan University Kaifeng China

In scenarios where multiple parties such as the Internet of Things and Supply Chains participate in data sharing and computing, when accessing data, users not only need to accept the forward access control of the data owner, but also needs to perform reverse access control on the data, so as to realize two-way access control. In the traditional blockchain, all users can participate in accounting and view transaction data, and only protect user privacy through “pseudo-anonymity”. The access rights of different users cannot be distinguished, which cannot meet the user's two-way access control needs. However, most of the existing blockchain-based access control schemes are one-way access control, which cannot meet the needs of users for two-way access control in scenarios such as the Internet of Things and Supply Chains. Therefore, it is particularly important to design a two-way access control mechanism suitable for application in the blockchain. On this basis, this paper proposes a dual strategy attribute-based encryption (ABE) scheme for distributed outsourcing. This scheme combines two existing schemes, ciphertext-policy ABE and key-policy ABE, and proposes two access structures and a structure of attribute sets. The primary access structure and the secondary attributes are stored in the ciphertext, and the secondary access structure and the primary attributes are stored in the user's private key. Only when the primary attribute set satisfies the primary access structure and the secondary attribute set satisfies the secondary access structure can the user unlock the ciphertext. This scheme has no single authorization center; instead, blockchain nodes jointly participate in authorization. In addition, the proposed scheme outsources the encryption and decryption of the ciphertext to blockchain nodes to reduce the computing pressure on users and can adapt to the decentralized environment of the blockchain and provide users with two-way access control services. Finally

关键词： Authorization Data privacy High performance computing conferences Supply chains Blockchain Permission

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Research on Technologies in Data Fabric

Research on Technologies in Data Fabric

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IEEE international conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Qingyuan Hu Zheng Yin Tao Tao Jibin Wang Zhuo Chen Bohuan Ai Yu Liu Chongzhou Liu China Mobile Information Technology Center Beijing China Cloud Computing and Big Data Research Institute China Academy of Information and Communications Technology Beijing China

ISBN: (数字)9798350381993

ISBN: (纸本)9798350382006

With the continuous advancement of technologies like big data, artificial intelligence, and cloud computing, enterprises are increasingly encountering challenges related to the heterogeneity of data from various sources, difficulties in querying data assets, and understanding business insights. To address these issues, data fabric emerges as a solution that leverages distributed data management. By harnessing metadata and facilitating its activation, data fabric enables organizations to efficiently and accurately manage and locate data assets. However, it is important to note that this concept is still under development and faces obstacles such as establishing connections with additional data sources and unifying semantics. Nonetheless, overall, the concept of data fabric exhibits remarkable potential in assisting enterprises in transitioning towards becoming data-driven organizations.

关键词： Industries Cloud computing Technological innovation Soft sensors Standards organizations distributed databases Collaboration

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