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

共 4395 条记录，以下是771-780 订阅

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Edge Replication Strategies for Wide-Area distributed Processing 3

Edge Replication Strategies for Wide-Area Distributed Proces...

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3rd ACM international Workshop on Edge systems. Analytics and Networking (EdgeSys)

作者： Semmler, Niklas Rost, Matthias Smaragdakis, Georgios Feldmann, Anja SAP SE Walldorf Germany TU Berlin Berlin Germany Max Planck Inst Informat Saarbrucken Germany

ISBN: (纸本)9781450371322

The rapid digitalization across industries comes with many challenges. One key problem is how the ever-growing and volatile data generated at distributed locations can be efficiently processed to inform decision making and improve products. Unfortunately, wide-area network capacity cannot cope with the growth of the data at the network edges. Thus, it is imperative to decide which data should be processed in-situ at the edge and which should be transferred and analyzed in data centers. In this paper, we study two families of proactive online data replication strategies, namely ski-rental and machine learning algorithms, to decide which data is processed at the edge, close to where it is generated, and which is transferred to a data center. Our analysis using real query traces from a Global 2000 company shows that such online replication strategies can significantly reduce data transfer volume-in many cases up to 50% compared to naive approaches-and achieve close to optimal performance. After analyzing their shortcomings for ease of use and performance, we propose a hybrid strategy that combines the advantages of both competitive and machine learning algorithms.

关键词： data replication distributed systems edge computing

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3rd KES international Symposium on Smart Transportation systems. KES-STS 2020

3rd KES International Symposium on Smart Transportation Syst...

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3rd KES international Symposium on Smart Transportation systems. KES-STS 2020

ISBN: (纸本)9789811552694

The proceedings contain 18 papers. The special focus in this conference is on Smart Transportation systems. The topics include: Traffic Safety Assessment of Deceleration Function Area Based on TTC Model;Realistic 5.9 GHz DSRC Vehicle-to-Vehicle Wireless Communication Protocols for Cooperative Collision Warning in Underground Mining;real-Time Data Processing in Autonomous Vehicles Based on distributed Architecture: A Case Study;injury Severity Analysis of Secondary Incidents;Communication and Localization Techniques in VANET Network for Intelligent Traffic System in Smart Cities: A Review;modelling the Relationships Between Headway and Speed in Saturation Flow of Signalised Intersections;shore Power Price Competition Between Ports;emission Evaluation of Marine Traffic;existing and Future Investigation of Charging Technology for Electric Bus;vehicle Scheduling Model for an Electric Bus Line;how to Model the Influence of In-vehicle Crowding on Travel Behavior: A Comparison Among Moderation, Independent Variable and Interaction;accessing the Influences of Weather and Environment Factors on Traffic Speed of Freeway;multivariate Time Series Analysis Using Recurrent Neural Network to Predict Bike-Sharing Demand;influencing Factor Analysis of Logistics Service Satisfaction in China: A Binary Logit Model Approach;to Investigate the Hidden Gap between Traffic Flow Fundamental Diagrams and the Derived Microscopic Car Following Models: A Theoretical Analysis;a Leader-Based Vehicle Platoon Control Strategy at Signalized Intersections Considering Efficiency.

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Microscheduling and Randomization Strategies in distributed and Cloud computing 3

Microscheduling and Randomization Strategies in Distributed ...

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3rd international Science and Technology conference "Modern Network Technologies 2020", MoNeTeC 2020

作者： Toporkov, Victor Yemelyanov, Dmitry National Research University MPEI Computer Science Department Moscow Russia

ISBN: (纸本)9781728182681

In this work, we study heuristic and randomized approaches for parallel jobs execution in high performance computing environments with heterogeneous resources. Traditional process of a job-flow scheduling implies many requirements for jobs execution criteria and priority and, thus, usually cannot be changed. However, special microscheduling heuristics may be used in such scenarios as a secondary optimization based on the primary scheduling procedure. Coordinated and randomized microscheduling approaches simulate different strategies for the whole job queue scheduling in order to select the most resource-efficient scenarios. Based on a conservative backfilling scheduling procedure we study how different resources allocation heuristics affect integral job-flow scheduling characteristics in a dedicated simulation environment. © 2020 IEEE.

关键词： Job shop scheduling

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3rd international Workshop on Vehicular Ad-hoc Networks for Smart Cities, IWVSC 2019

3rd International Workshop on Vehicular Ad-hoc Networks for ...

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3rd international Workshop on Vehicular Ad-hoc Networks for Smart Cities, IWVSC 2019

ISBN: (纸本)9789811537493

The proceedings contain 9 papers. The special focus in this conference is on Vehicular Ad-hoc Networks for Smart Cities. The topics include: Performance Evaluation of Speed Platoon Splitting Algorithm;AVEC: A Statistical Framework for Adaptive Vehicular Edge Data Cleaning;software-Defined Networking for Emergency Traffic Management in Smart Cities;Towards a Reliable Machine Learning-Based Global Misbehavior Detection in C–ITS: Model Evaluation Approach;A RINA-Based Security Architecture for Vehicular Networks;networks of Trusted Execution Environments for Data Protection in Cooperative Vehicular systems.Vehicular Ad Hoc Networks Security for Smart Cities Based on 2D ZCC/MD Optical CDMA Code.

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An Exploration of distributed Access Control Mechanism Using BlockChain 3rd

An Exploration of Distributed Access Control Mechanism Using...

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3rd international conference on Smart computing and Informatics (SCI)

作者： Swapna, D. Praveen, S. Phani PVPSIT Dept Comp Sci & Engn Vijayawada India

ISBN: (纸本)9789813296909;9789813296893

To adequately take an interest in the current coordinated partnerships, associate companies ought to have the capacity to impart computerized resources to different collaborators, while guaranteeing their advanced resources is shielded from unseemly access. In the current literature, a significant measure of research on unified access control with regards to one company has been completed. Be that as it may, investigation on decentralized access control in a shared domain is rare. A model of a decentralized access control framework is implemented, which strengthens auditability, unchanging nature, and uniformity in a cooperation domain utilizing the multi-chain blockchain. The model was created to assess two essential measurements: throughput and response. To accomplish this, various analyses have been performed to quantify the two measurements on Amazon Web Services.

关键词： Blockchain Throughput Response time

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Activity Recognition for Indoor Fall Detection in 360-Degree Videos Using Deep Learning Techniques 3rd

Activity Recognition for Indoor Fall Detection in 360-Degree...

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3rd international conference on Computer Vision and Image Processing (CVIP)

作者： Dhiraj Manekar, Raunak Saurav, Sumeet Maiti, Somsukla Singh, Sanjay Chaudhury, Santanu Neeraj Kumar, Ravi Chaudhary, Kamal Cent Elect Engn Res Inst CSIR Pilani Rajasthan India Samsung Res India New Delhi India

ISBN: (纸本)9789813292918;9789813292901

Human activity recognition (HAR) targets the methodologies to recognize the different actions from a sequence of observations. Vision-based activity recognition is among the most popular unobtrusive technique for activity recognition. Caring for the elderly who are living alone from a remote location is one of the biggest challenges of modern human society and is an area of active research. The usage of smart homes with an increasing number of cameras in our daily environment provides the platform to use that technology for activity recognition also. The omnidirectional cameras can be utilized for fall detection activity which minimizes the requirement of multiple cameras for fall detection in an indoor living scenario. Consequently, two vision-based solutions have been proposed: one using convolutional neural networks in 3D-mode and another using a hybrid approach by combining convolutional neural networks and long short-term memory networks using 360-degree videos for human fall detection. An omnidirectional video dataset has been generated by recording a set of activities performed by different people as no such 360-degree video dataset is available in the public domain for human activity recognition. Both, the models provide fall detection accuracy of more than 90% for omnidirectional videos and can be used for developing a fall detection system for indoor health care.

关键词： Activity recognition Omnidirectional video 3D convolutional networks Long short-term memory networks Fall activity Daily activity

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A Deep Learning Framework Supporting Model Ownership Protection and Traitor Tracing 26

A Deep Learning Framework Supporting Model Ownership Protect...

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26th IEEE international conference on Parallel and distributed systems.(IEEE ICPADS)

作者： Xu, Guowen Li, Hongwei Zhang, Yuan Lin, Xiaodong Deng, Robert H. Shen, Xuemin Univ Elect Sci & Technol China Chengdu 611731 Peoples R China Univ Guelph 50 Stone Rd E Guelph ON N1G 2W1 Canada Singapore Management Univ Singapore 178902 Singapore Univ Waterloo Waterloo ON N2L 3G1 Canada

ISBN: (纸本)9781728190747

Cloud-based deep learning (DL) solutions have been widely used in applications ranging from image recognition to speech recognition. Meanwhile, as commercial software and services, such solutions have raised the need for intellectual property rights protection of the underlying DL models. Water-marking is the mainstream of existing solutions to address this concern, by primarily embedding pre-defined secrets in a model's training process. However, existing efforts almost exclusively focus on detecting whether a target model is pirated, without considering traitor tracing. In this paper, we present SecureMark_DL, which enables a model owner to embed a unique fingerprint for every customer within parameters of a DL model, extract and verify the fingerprint from a pirated model, and hence trace the rogue customer who illegally distributed his model for profits. We demonstrate that SecureMark_DL is robust against various attacks including fingerprints collusion and network transformation (e.g., model compression and model fine-tuning) Extensive experiments conducted on MNIST and CIFAR10 datasets, as well as various types of deep neural network show the superiority of SecureMark_DL in terms of training accuracy and robustness against various types of attacks.

关键词： Ownership Protection Traitor Tracing Water-marking Deep Learning Cloud computing

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Towards Increased Flexibility and Interoperability in distributed Process Control Applications 3

Towards Increased Flexibility and Interoperability in Distri...

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3rd IEEE conference on Industrial Cyberphysical systems. ICPS 2020

作者： Zia, Ahsan Hastbacka, David Tampere University Computing Sciences Tampere Finland

ISBN: (纸本)9781728163895

The modern process automation plants are changing into flexible designs, which raises the requirements for distributively controlled logic, a high degree of interoperability, dynamic reconfiguration and software reusability. Thus, creating an opportunity to integrate the distributed control system standards and platform independent communication protocols. In this paper, we propose the use of OPC UA to increase interoperability of communication and the utilization of Arrowhead Framework to enhance interoperable service compositions of control applications implemented in IEC 61499. The concept is outlined for the integration and modeling of a distributed control system for a FESTO laboratory batch process system. A control application example is provided to create distributed control of Cyber-Physical systems.using services that are connected using IEC 61499 in accordance to Industry 4.0 for improved interoperability and flexibility. © 2020 IEEE.

关键词： Cyber Physical System

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The Boundary Extraction and Hole Restoration Method of Point Cloud Data of 3D Laser Scanner for Mine 3

The Boundary Extraction and Hole Restoration Method of Point...

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3rd IEEE international conference on Information systems.and Computer Aided Education, ICISCAE 2020

作者： Kai, Chen Kai, Zhan Da, Zhang Chi, Zhang Beijing General Research Institute of Mining and Metallurgy Beijing China College of Mechanics Engineering Beijing University of Science and Technology Beijing China

ISBN: (纸本)9781728183039

The 3d laser scanner for mine can obtain 3d point cloud data of many areas, such as cavity, ore pass and so on, which provides the data basis for the digital mine. However, the point cloud data often exist holes and other problems, which lead to the unreality of the 3d model. In order to solve this problem, this paper proposes a method to extract boundary of point cloud data and repair the hole of point cloud data. The point cloud boundary is extracted by fitting the least square plane of point cloud data, computing the plane normal vector, and analyzing the point cloud characteristics. Then the hole is repaired according to the formation principle of point cloud and combining with the extracted point cloud boundary. In order to verify the hole boundary extraction and restoration method of point cloud data proposed in this paper, the point cloud data of cavity obtained in the mine are used for experiment. The experimental results show that this method can quickly extract the cavity point cloud boundary and repair obvious holes, achieving the expected effect. © 2020 IEEE.

关键词： Restoration

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3rd international conference on Data Management, Analytics and Innovation, ICDMAI 2019

3rd International Conference on Data Management, Analytics a...

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3rd international conference on Data Management, Analytics and Innovation, ICDMAI 2019

ISBN: (纸本)9789813299481

The proceedings contain 35 papers. The special focus in this conference is on Data Management, Analytics and Innovation. The topics include: Automated Scheduling of Hostel Room Allocation Using Genetic Algorithm;Evaluation of ASTER TIR Data-Based Lithological Indices in Parts of Madhya Pradesh and Chhattisgarh State, India;Analyzing Linear Relationships of LST with NDVI and MNDISI Using Various Resolution Levels of Landsat 8 OLI and TIRS Data;automatic Robot Processing Using Speech Recognition System;banking and FinTech (Financial Technology) Embraced with IoT Device;GRNN++: A Parallel and distributed Version of GRNN Under Apache Spark for Big Data Regression;an Entropy-Based Technique for conferences Ranking;MapReduce mRMR: Random Forests-Based Email Spam Classification in distributed Environment;the Impact of Sustainable Development Report Disclosure on Tax Planning in Thailand;ASK Approach: A Pre-migration Approach for Legacy Application Migration to Cloud;clustering and Labeling Auction Fraud Data;big Data Security Challenges and Preventive Solutions;role and Challenges of Unstructured Big Data in Healthcare;zip Zap Data—A Framework for ‘Personal Data Preservation’;a Systematic Mapping Study of Cloud Large-Scale Foundation—Big Data, IoT, and Real-Time Analytics;studies on Radar Imageries of Thundercloud by Image Processing Technique;PURAN: Word Prediction System for Punjabi Language News;Implementation of hDE-HTS Optimized T2FPID Controller in Solar-Thermal System;Design of Sigma-Delta Converter Using 65 nm CMOS Technology for Nerves Organization in Brain Machine Interface;Performance Comparison of Machine Learning Techniques for Epilepsy Classification and Detection in EEG Signal;novel Approach for Plant Disease Detection Based on Textural Feature Analysis.

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