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Multi-thread Concurrent Compression Algorithm for Genomic Big Data

Multi-Thread Concurrent Compression Algorithm for Genomic Bi...

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IEEE international conference on Parallel and distributed computing, Applications and Technologies (PDCAT)

作者： Yimu Ji Shuai Chen Haichang Yao Houzhi Fang Kui Li Shangdong Liu Zhengyuan Xie Kairui Wang School of Computer Science Nanjing University of Posts and Telecommunications Institute of High Performance Computing and Big Data Nanjing University of Posts and Telecommunications Nanjing Center of HPC China Jiangsu HPC and Intelligent Processing Engineer Research Center Nanjing China School of Computer Science Nanjing University of Posts and Telecommunications Nanjing China School of Computer Science Nanjing University of Posts and Telecommunications School of Computer and Software Nanjing Institute of Industry Technology Nanjing China University of Toronto Toronto Canada BSc Mathematics with Finance University of Liverpool Liverpool United Kingdom

ISBN: (数字)9781728126166

ISBN: (纸本)9781728126173

At present, there are many excellent genome compression algorithms with high genome compression ratio. However, there is a lack of highly efficient compression algorithms for simultaneous compression of a large number of genomes. this manuscript presents an algorithm, which is called FastLNGC, for simultaneous compression of a large amount of genome data based on multi-thread concurrency. this algorithm is based on the LNGC (Large Number of Genomes Compressor) algorithm, and adopts multi-thread technology to achieve concurrent processing of genome data compression. A large number of experiments show that FastLNGC has better performance on compression of a large number of genes. the source code of FastLNGC is available at https://***/APandathief/FastLNGC.

关键词： Bioinformatics Genomics Compression algorithms Instruction sets Telecommunications Computer science Concurrent computing

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Realizing Large-scale Street Games using Heterogeneous Future Internet Technologies

Realizing Large-scale Street Games using Heterogeneous Futur...

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international conference on intelligent Environments

作者： Orestis Akribopoulos Marios Logaras Georgios Mylonas Ioannis Chatzigiannakis Irene Mavrommati Research Unit 1 Computer Technology Institute and Press Hellenic Open University (HOU)

ISBN: (纸本)9781479907458

A collection of pervasive street games is presented in this paper, that constitute a new social form of play taking place in public spaces, such as city parks, public spaces and streets. the main characteristic of these games is the ability to scale to a large number of players (in some cases involving more than 40 players) and can engage players located simultaneously in dispersed areas. Players interact with each other using a wide range of hardware devices that are either generic (such as smart phones) or specific (such as wireless sensor devices). We discuss a set of fundamental issues related to game design emphasizing on the one hand the interaction of the players with the ubiquitous computing environment and on the other hand the embedding of the game rules within the environment. the games are developed using open source technologies and evaluated in a series of events such as the Athens Plaython 2012 festival. the feedback received from the players indicates that this new form of gaming is indeed very promising.

关键词： Pervasive multiplayer street games Interactive installations Public exhibition Evaluation Smartphones Wireless sensor devices

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Online multi-criterion optimization for dynamic power-aware camera configuration in distributed embedded surveillance clusters

Online multi-criterion optimization for dynamic power-aware ...

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international conference on Advanced Information Networking and Applications (AINA)

作者： A. Maier B. Rinner W. Schriebl H. Schwabach Institute for Technical Informatics Graz University of Technology Graz Austria Video and Safety Technology ARC Seibersdorf Research GmbH Seibersdorf Austria

intelligent video surveillance (IVS) systems are based on the recent development of so called embedded smart cameras. Delivering a good service quality in IVS usually results in a higher level of computing activity and therefore in increased power consumption. this paper presents PoQoS, a novel approach that aims in maximizing the service quality (i.e., the number of IVS-services and their QoS) while minimizing the system's power consumption. PoQoS enables power-aware reconfiguration of services and hardware resources in distributed logical clusters of embedded smart cameras. In order to find optimal camera configurations during operation, PoQoS integrates PoSeGA, an online genetic multi-criterion optimization algorithm. A configuration manager properly selects among optimized camera configurations and consequently initializes intra-camera or intra-cluster power-aware reconfiguration with respect to application- and situation-specific context. the evaluation of PoQoS on the PoQoCam, a power-efficient embedded smart camera platform, shows the feasibility of the presented approach.

关键词： Smart cameras Energy consumption Quality of service Video compression Genetic algorithms Video surveillance Vehicle detection Informatics Safety Hardware

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An SoS Architecture and intelligent Airfield Isomer Robot for WIG Effect Aircraft Carrier Based on Cloud Sea computing in 5G OGCE

An SoS Architecture and Intelligent Airfield Isomer Robot fo...

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IEEE international conference of intelligent Robotic and Control Engineering (IRCE)

作者： Zhi Lv Zhongfeng Wang Yi Lv Mingzhe Yuan School of IT and Engineering Tianjin University of Technology and Education Tianjin China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China

Based on the fifth and/or sixth generation of mobile communication(5G/6G), and cloud sea computing (CSC) in 5G open grid computing environment (OGCE), a model of wing-in-ground (WIG) effect aircraft carrier (EAC) based on model of manta ray and an intelligent airfield isomer robot (IAIR) are presented by this paper. the structure of the WIG EAC consists of a multi-hull ship model and a center-body of a blended wing body (BWB) configuration of commercial aircraft framework, which is based on the reconfiguring tube-and-(sweptback) wing (TAW) (e.g., Airbus A380, Boeing 777X), the combinatorial structure of a center-body can be configured by intersecting and overlapping framework variant (IOFV) of two aircraft (2A) (IOFV-2A) with the TAW configuration, or, IOFV of three aircraft (IOFV-3A) with the TAW configuration. this IAIR is composed of a takeoff-landing (runway) working deck platform (TOLWDP, or WDP) robot and a three-overlapping Venus flytrap Nelumbo lutea (hand type) robot (TO-VFNL-R), a telescopic positioning grip hand (grab-hook) type robot (TPGHTR), and its other robots. A TOLWDP (WDP) robot can bear the weight of the heaviest fighter jet, which is able to take off and land on the WIG EAC, such as Shenyang J-15, J-16D, J-35, and Sukhoi Su-35, Su-57, and also can take off and land and catapult the unmanned aerial vehicle (UAV). this WIG EAC has a large hangar that used for sea rescue and support, and when supported by carrier-based aircraft and underwater robots, can intercept the aircraft carrier fleets and submarine fleets and unmanned submarine. Under the support of the CSC in 5G OGCE, the aircraft can safely be berthed and docked and land on the TOLWDP under the command and control (C2) of the distributed control cloud, to realize the various tasks of air-sea WIG EAC based on CSC in 5G OGCE.

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Attention-Based Supply-Demand Prediction for Autonomous Vehicles

Attention-Based Supply-Demand Prediction for Autonomous Vehi...

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IEEE international conference on Parallel and distributed computing, Applications and Technologies (PDCAT)

作者： Zikai Zhang Hairong Dong Yidong Li Yizhe You Fengping Zhao School of Electronic and Information Engineering Beijing Jiaotong University Beijing China School of Computer and Information Technology Beijing Jiaotong University Beijing China

ISBN: (数字)9781728126166

ISBN: (纸本)9781728126173

As one of the important functions of the intelligent transportation system (ITS), supply-demand prediction for autonomous vehicles provides a decision basis for its control. In this paper, we present two prediction models (i.e. ARLP model and Advanced ARLP model) based on two system environments that only the current day's historical data is available or several days' historical data are available. these two models jointly consider the spatial, temporal, and semantic relations. Spatial dependency is captured with residual network and dimension reduction. Short term temporal dependency is captured with LSTM. Long term temporal dependency and temporal shifting are captured with LSTM and attention mechanism. Semantic dependency is captured with multi-attention mechanism. Extensive experiments show that our frameworks provide more accurate prediction results than the existing methods.

关键词： Semantics Predictive models Data models Autonomous vehicles White noise Dimensionality reduction

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the Data Protection of intelligent Connected Vehicles Cloud Control Framework Using Fully Homomorphic Encryption

The Data Protection of Intelligent Connected Vehicles Cloud ...

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conference on Vehicle Control and Intelligence (CVCI)

作者： Yan Cui Siqi Li Yue Wang Bolin Gao School of Vehicle and Mobility Tsinghua University Beijing CN

ISBN: (数字)9781728184975

ISBN: (纸本)9781728184982

With the development of intelligent Connected Vehicles (ICVs), Cloud Control Platform is becoming an important part to compute driving strategies. However, when strategies are put to cloud, some of vehicle manufacturers' private data must be sent to the cloud, like Engine Map, which are core data for vehicle manufactures. How to protect these data has been the largest obstacle for the ICVs. thus, this paper proposes a new framework in which Fully Homomorphic Encryption (FHE) and Blockchain technology are combined to compute encryption data on the cloud and record trails of cloud request. In this framework, private data can be protected, the scope of data usage will be limited, and at the same time, the execution of specific type of computations with encryption data on the cloud are fulfilled. In the end, with the help of Simple Encrypted Arithmetic Library (SEAL) developed by Microsoft Research, and IBM blockchain framework Hyperledger Fabric, this framework is verified to be feasible to build a trustworthy ICVs cloud computing system.

关键词： Cloud computing distributed ledger Blockchain Seals Libraries Fabrics Encryption

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distributed knowledge by explanation networks

Distributed knowledge by explanation networks

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Annual Hawaii international conference on System Sciences (HICSS)

作者： Y. Waern R. Ramberg Department of Communication Studies Linköping University Linkoping Sweden Department of Computer and Systems Science Stockholm University and Royal Institute of Technology Kista Sweden

A knowledge based system may be considered as knowledge, distributed between one or several experts and the system users. Explanations in such a system provide for a more intensive interaction between the system and the user. We construct an explanation network by defining relationships between various knowledge fragments. Knowledge fragments on varying levels are formulated using the Qualitative Process theory. the relationships are defined by links, compatible with Rhetorical Structure theory. Different knowledge elements are combined into an explanation path by using Toulmin's argumentation theory. the feasibility of this approach is investigated. We show the following: By representing relations in a concept hierarchy as well as representing the relationships between elements in a rule of a knowledge base, both problem solving inferences and explanations can be generated. At the moment, the derivation of explanations cannot be performed automatically, but ready-made explanations may be stored and presented in a useful way. the explanation network idea has great knowledge acquisition power. An empirical study with users showed that different paths within the explanation net are useful for users with different prior knowledge. To conclude, the idea of distributing knowledge by support from an explanation network is fruitful and feasible.

关键词： Knowledge based systems Cognition Knowledge acquisition Information processing intelligent systems Computer networks distributed computing Problem-solving Labeling Writing

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HIDALS: A Hybrid IoT-based Decentralized Application for Logistics and Supply Chain Management

HIDALS: A Hybrid IoT-based Decentralized Application for Log...

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international conference and Workshop on computing and Communication (IEMCON)

作者： Marcel Müller Sandro Rodriguez Garzon Martin Westerkamp Zoltan Andras Lux Service-centric Networking Telekom Innovation Laboratories Technische Universität Berlin Berlin Germany

ISBN: (纸本)9781728125312

In today's logistics processes, inter-organizational delivery services with strict end-to-end service level agreements lack transparent and trustful mechanisms to keep track of deliveries beyond organizational limits. Clearly traceable responsibility based on ownership without the possibility to circumvent penalties for violations of SLAs based on end-to end monitoring is needed. In this paper, we propose to let all organizations that are involved in the delivery of high value parcels mutually confirm handovers between organizations via a common distributed ledger. Smart sensors within parcels are used to immutably log violations of end-to-end service level agreements that are difficult to be detected by a visual check of the packaging during a handover. this concept of an inter-organizational distributed tracking system does not only increase transparency but it enables logistics organizations to rely on shared information when it comes to conflicts with respect to inter-organizational deliveries. the proposed approach offers more fine grain and holistic monitoring results than previously proposed concepts involving distributed ledgers and smart sensors.

关键词： Supply chain management distributed ledger Organizations Monitoring intelligent sensors Logistics Service level agreements

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Blockchain-based Data Traceability Platform Architecture for Supply Chain Management

Blockchain-based Data Traceability Platform Architecture for...

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IEEE international conference on Big Data Security on Cloud (BigDataSecurity), High Performance and Smart computing (HPSC) and intelligent Data and Security (IDS)

作者： Yihang Wei College of Natural Resources and Environment North West Agricultural and Forestry University Xi’an China

ISBN: (数字)9781728168739

ISBN: (纸本)9781728168746

With the rapid development of economic globalization, cooperation between countries, between enterprises, has become a key factor whether country and enterprises can make great economic progress. In these cooperation processes, it is necessary to trace the source of business data or log data for auditing and accountability. However, multi-party enterprises participating in cooperation often do not trust each other, and the separate accounting of the enterprises leads to isolated islands of information, which makes it difficult to trace the entire life cycle of the data. therefore, there is an urgent need for a mechanism that can establish distributed trustworthiness among multiparty organizations that do not trust each other, and provide a tamper-resistant data storage mechanism to achieve credible traceability of data. this work proposes a data traceability platform architecture design plan for supply chain management based on the multi-disciplinary knowledge and technology of the Fabric Alliance chain architecture, perceptual identification technology, and cryptographic knowledge. At the end of the paper, the characteristics and shortcomings of data traceability of this scheme are evaluated.

关键词： Blockchain Supply chain management Data traceability Platform Supply chain management Platform Companies traceability identification technology WELL LOGGING DATA audit Data Storage

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Privacy-Preserving Reputation Management for Blockchain-Based Mobile Crowdsensing*

Privacy-Preserving Reputation Management for Blockchain-Base...

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IEEE Communications Society conference on Sensor and Ad Hoc Communications and Networks (SECON)

作者： Wenjing Zhang Yuchuan Luo Shaojing Fu Tao Xie College of Computer National University of Defense Technology Changsha China Sate Key Laboratory of Cryptology Beijing China

ISBN: (数字)9781728166308

ISBN: (纸本)9781728166315

Mobile crowdsensing (MCS) is an emerging data acquisition technique that combines crowdsourcing with mobile devices to collect massive data in a cost-satisfactory manner. Two notable challenges of MCS are leakage of privacy and the challenge of malicious users, privacy-preserving reputation management scheme is an efficient method to tackle these challenges. However, most existing schemes rely on a semi-honest server and process data in plaintext domain without considering single point of failure and privacy of participants. In this paper we propose a reputation management scheme with blockchain to identify malicious users and protect users' privacy simultaneously in MCS scenario. the secure and open nature of blockchain are exploited to build a dependable and efficient reputation management platform. Moreover, we adopt a distributed computing algorithm, Eigentrust, to construct a distributed reputation management framework, nevertheless, it neglects to preserve users' privacy. So we leverage a verifiable secret sharing scheme into Eigentrust algorithm, which can prevent users' personal information from being disclosed. the extensive analysis and experiments performed on EOS blockchain demonstrate that our system can effectively identify malicious users while preserving privacy.

关键词： Sensors Servers Privacy Task analysis Encryption

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