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检索条件"任意字段=Proceedings - 3rd International Conference on Distributed Computing Systems."

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proceedings of the 3rd international conference on Inventive Computation Technologies, ICICT 2018

Proceedings of the 3rd International Conference on Inventive...

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3rd international conference on Inventive Computation Technologies, ICICT 2018

ISBN: (纸本)9781538649855

The proceedings contain 96 papers. The topics discussed include: bike security with theft prevention;audio hiding in an image using steganographic methods;automated api testing;extended kalman filter based distributed state estimation algorithm for cyber physical systems.review on application of machine learning algorithm for data science;a review of data mining & machine learning approaches for identifying risk factor contributing to likelihood of cardiovascular diseases;offloading with QOS in the mobile cloud computing environment;application of IoT in monitoring patient's health ward relevant parameters;hybrid solar and wind powered electric vehicle using sepic converter;design of MEMS sensor for the detection of diabetes;and hard and soft decision decoding using Viterbi algorithm.

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Design of a cost-effective deep convolutional neural network-based scheme for diagnosing faults in smart grids 18

Design of a cost-effective deep convolutional neural network...

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18th IEEE international conference on Machine Learning and Applications, ICMLA 2019

作者： Hassani, Hossein Farajzadeh-Zanjani, Maryam Razavi-Far, Roozbeh Saif, Mehrdad Palade, Vasile Department of Electrical and Computer Engineering University of Windsor 401 Sunset Avenue WindsorN9B 3P4 Canada Faculty of Engineering and Computing Coventry University Priory Street Coventry United Kingdom

ISBN: (纸本)9781728145495

There has been a growing interest in using smart grids due to their capability in delivering automated and distributed energy level to the consumption units. However, in order to guarantee the safe and reliable delivery of the high-quality power from the generation units to the consumers, smart grids need to be equipped with diagnostic systems. This paper presents an efficient data-driven scheme for diagnosing faults in smart grids. In order to reduce the computational burden and monitor the state of the system with a lower number of smart meters, a method based on the affinity propagation clustering algorithm is suggested for the placement of meters, that makes use of the graph-based representation of the system. The collected voltage data measurements from the installed meters are then decomposed by matching pursuit decomposition in order to generate informative features. Extracted features are then used to train a convolutional neural network, and the constructed deep learning model is then tested using unseen samples of normal and faulty conditions. Simulation results based on the IEEE 39-Bus System demonstrate the effectiveness of the proposed data-driven fault diagnostic system. © 2019 IEEE.

关键词： Smart power grids

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Software engineering approach to bug prediction models using machine learning as a service (MLaaS) 13

Software engineering approach to bug prediction models using...

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13th international conference on Software Technologies, ICSOFT 2018

作者： Subbiah, Uma Ramachandran, Muthu Mahmood, Zaigham Computer Science and Engineering Amrita School of Engineering Amritanagar Ettimadai CoimbatoreTamil Nadu641112 India School of Computing Creative Technologies and Engineering Leeds Beckett University Headingley Campus Churchwood Ave LeedsLS6 3QS United Kingdom Computing Research University of Derby Kedleston Rd Ilkeston DerbyDE22 1GB United Kingdom

ISBN: (纸本)9789897583209

The presence of bugs in a software release has become inevitable. The loss incurred by a company due to the presence of bugs in a software release is phenomenal. Modern methods of testing and debugging have shifted focus from "detecting" to "predicting" bugs in the code. The existing models of bug prediction have not been optimized for commercial use. Moreover, the scalability of these models has not been discussed in depth yet. Taking into account the varying costs of fixing bugs, depending on which stage of the software development cycle the bug is detected in, this paper uses two approaches - one model which can be employed when the 'cost of changing code' curve is exponential and the other model can be used otherwise. The cases where each model is best suited are discussed. This paper proposes a model that can be deployed on a cloud platform for software development companies to use. The model in this paper aims to predict the presence or absence of a bug in the code, using machine learning classification models. Using Microsoft Azure's machine learning platform this model can be distributed as a web service worldwide, thus providing Bug Prediction as a Service (BPaaS). Copyright © 2018 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved

关键词： Machine learning

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3rd international Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2019

3rd International Symposium on Cyber Security Cryptography a...

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3rd international Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2019

ISBN: (纸本)9783030209506

The proceedings contain 28 papers. The special focus in this conference is on Cyber Security Cryptography and Machine Learning. The topics include: The advantage of truncated permutations;reconstructing C2 servers for remote access trojans with symbolic execution;generating a random string with a fixed weight;an access control model for data security in online social networks based on role and user credibility;enhancing image steganalysis with adversarially generated examples;controllable privacy preserving blockchain: Fiatchain: distributed privacy preserving cryptocurrency with law enforcement capabilities;a relay attack on a tamper detection system;amended cross-entropy cost: An approach for encouraging diversity in classification ensemble;governance and regulations implications on machine learning;linear cryptanalysis reduced round of piccolo-80;simulating homomorphic evaluation of deep learning predictions;Everything is in the name – a URL based approach for phishing detection;network cloudification;new goal recognition algorithms using attack graphs;peerClear: Peer-to-peer bot-net detection;Rethinking identification protocols from the point of view of the GDPR;Temporal pattern-based malicious activity detection in SCADA systems.anonymous deniable identification in ephemeral setup and leakage scenarios;randomized and set-system based collusion resistant key predistribution schemes;continuous key agreement with reduced bandwidth;Covert channel cyber-attack over video stream DCT payload: (Copyright protection algorithm for video and audio streams);Effects of weather on drone to IoT QKD;malware classification using image representation;MLDStore: DNNs as similitude models for sharing big data;cyber attack localization in smart grids by graph modulation;Beyond replications in blockchain: on/off-blockchain IDA for storage efficiency and confidentiality.

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A Selective Write Strategy for the Elimination of Write Disturb Errors on Nonvolatile Memory Caches 8

A Selective Write Strategy for the Elimination of Write Dist...

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8th international conference on Innovation, Communication and Engineering, ICICE 2019

作者： Hsieh, Yun-Shan Chen, Yi-Hua Tang, Yu-Ping Huang, Po-Chun National Tsing Hua University No. 101 Section 2 Kuang-Fu Road Hsinchu Taiwan Yuan Ze University No. 135 Yuan-Tung Road Chung-Li Taiwan National Taipei University of Technology No. 1 Sec. 3 Zhongxiao E. Rd. Taipei10608 Taiwan

ISBN: (纸本)9781728158396

Recently, the rapid development of modern nonvolatile memories (NVMs) have renovated the designs of computing systems. However, the unique characteristics of NVMs often degrade the performance, reliability, or lifetime of existing designs of the memory-storage subsystem. In particular, the slow write performance and high write energy of many NVMs inspired many research proposals that aim to reduce the NVM write traffic, such as the differential write technique. On the other hand, some NVMs have write disturbance problem, and an NVM cell might be erroneously changed when its neighboring NVM cells are programmed. Although the differential write technique is proven effective in reducing the NVM write traffic, the write disturbance problem might be considerably exacerbated due to the selective random updates to the cells in a machine word, thereby affecting the reliability of data. In this work, we discuss the potential techniques that alleviate write disturbance problem while still providing good perfor-mance/energy of write operations to an NVM-based buffer cache. © 2019 IEEE.

关键词： Nonvolatile storage

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An architectural proposal for an automatic vacant parking detection system 3

An architectural proposal for an automatic vacant parking de...

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3rd international conference on Information systems.and Computer Science (INCISCOS)

作者： Ordonez-Camacho, Diego Gomez, Estevan Avalos, Hector Univ UTE Grp Invest Informat GrIInf Quito Ecuador

ISBN: (纸本)9781538676127

Finding free parking space is a common problem in cities nowadays, both in streets and parking lots. This problem causes traffic congestion and influence in the delay of people to get to their jobs. With the advent of smart cities and buildings, research in this area is increasingly relevant. This work proposes a distributed architecture of a real time system for the detection of vacant space in parking lots, using computerized vision and machine learning. The proposed architecture seeks to minimize the search time for a parking space, as well as reduce the congestion resulting from having to maneuver in small spaces with pedestrians. The expected benefits are mainly the reduction of delays in reaching the position of work and study, and the risk reduction of pedestrians circulating in the parking areas, all this with a minimum investment.

关键词： intelligent parking architectural proposal distributed system free parking slots computerized vision

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3D PRINTING OF POLYMERIC OPTICAL COMPONENTS BY TWO-PHOTON POLYMERIZATION 3

3D PRINTING OF POLYMERIC OPTICAL COMPONENTS BY TWO-PHOTON PO...

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3rd international conference on Progress in Additive Manufacturing (Pro-AM)

作者： Li, Shufan Jiao, Jiannan Kim, Young-Jin Nanyang Technol Univ Sch Mech & Aerosp Engn Singapore Ctr 3D Printing 50 Nanyang Ave Singapore 639798 Singapore

Femtosecond laser direct writing achieves high precision into micro-metric in additive manufacturing of customized-geometric structures and was used to fabricate the high quality micro optical lenses in various photoresist, including SU-8, by two-photon polymerization. The fabricates axicons could approximately create the Bessel beam, which has smaller beam diameter and extended depth of focus, so that widely employed in imaging systems. The axicons and any geometric micro-lenses of certain applications were designed and optimized using ZEMAX before the lenses being fabricated by femtosecond laser direct writing, and they serve as core components of imaging systems. microscopy, and other research fields.

关键词： Femtosecond Laser Direct Writing (FsLDW) Additive Manufacturing (AM) Micro-optics SU-8 Two-Photon Polymerization (TPP) Bessel beam

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Tradeoff between Storage Cost and Repair Cost for Cloud Storage 3

Tradeoff between Storage Cost and Repair Cost for Cloud Stor...

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3rd IEEE international conference on Cloud computing and Big Data Analysis (ICCCBDA)

作者： Liu, Pengfei Zheng, Lin Yu, Quan Ye, Huiying Wuhan Univ Technol Sch Informat Engn Wuhan Hubei Peoples R China Wuhan Univ Technol Minist Educ Key Lab Fiber Opt Sensing Technol & Informat Proc Wuhan Hubei Peoples R China Hubei Inland Shipping Technol Key Lab Wuhan Hubei Peoples R China

ISBN: (纸本)9781538643013

Cloud storage systems.(CSS) are heterogeneous in nature. In such a heterogeneous distributed storage system, how to identify a tradeoff between system storage cost and system repair cost is investigated by analyzing the min-cut constraints of information flow graph. Moreover, it is proved that the number of min-cut constraints can be greatly reduced such that the tradeoff curve can be established in polynomial time.

关键词： cloud storage distributed storage system data repair data retrieval

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On the Effects of Data-Aware Allocation on Fully distributed Storage systems.for Exascale 1

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23rd international conference on Parallel and distributed computing (Euro-Par)

作者： Pascual, Jose A. Concatto, Caroline Lant, Joshua Navaridas, Javier Univ Manchester Comp Sci Sch Manchester Lancs England

ISBN: (数字)9783319751788

ISBN: (纸本)9783319751788;9783319751771

The convergence between computing- and data-centric workloads and platforms is imposing new challenges on how to best use the resources of modern computing systems. In this paper we show the need of enhancing system schedulers to differentiate between compute- and data-oriented applications to minimise interferences between storage and application traffic. These interferences can be especially harmful in systems.featuring fully distributed storage systems.together with unified interconnects, such as our custom-made architecture ExaNeSt. We analyse several data-aware allocation strategies, and found that such strategies are essential to maintain performance in distributed storage systems.

关键词： Near-data computing Scheduling Resource allocation

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Semantic Querying Big and distributed rdF Data 18

Semantic Querying Big and Distributed RDF Data

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3rd international conference on Smart City Applications (SCA')

作者： Kaoutar, Lamrani Abderrahim, Ghadi Kudagba, Florent Kunale Fac Sci & Technol Tangier IT Dept Tanger Morocco

ISBN: (纸本)9781450365628

Today, the Web knows a rapid increase in data level that makes their processing and storage limited in traditional technologies. That is why future technology tries to exploit the notion of semantics and ontology by adapting them to big data technology to allow a fundamental change in the access to voluminous information in the web. That Intended to have a complete and relevant response to the user request. Our research work focuses on the semantic web. Focus exactly on the semantic search on many data expressed by rdF (Resource Description Framework) in distributed system. The semantic language proposed by W3C (World Wide Web Consortium) provides the formalism necessary for the representation of data for the Semantic Web. However, only a knowledge representation format is insufficient and we need powerful response mechanisms to manage effectively global and distributed queries across a set of stand-alone and heterogeneous rdF resources marked by the dynamic and scalable nature of their content.

关键词： Semantic web domain ontology distributed request big data Cloud computing

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