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检索条件"任意字段=IEEE International Conference on Distributed Computing in Sensor Systems"

共 30781 条记录，以下是4631-4640 订阅

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Physical Fingerprinting of Ultrasonic sensors and Applications to sensor Security 6

Physical Fingerprinting of Ultrasonic Sensors and Applicatio...

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6th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Application, DependSys 2020

作者： Cheek, Eric Khuttan, Dhimant Changalvala, Raghu Malik, Hafiz School of Electrical and Computer Engineering University of Michigan-Dearborn DearbornMI United States

ISBN: (纸本)9781728176512

As the market for autonomous vehicles advances, a need for robust safety protocols also increases. Autonomous vehicles rely on sensors to understand their operating environment. Active sensors such as camera, LiDAR, ultrasonic, and radar are vulnerable to physical channel attacks. One way to counter these attacks is to pattern match the sensor data with its own unique physical distortions, commonly referred to as a fingerprint. This fingerprint exists because of how the sensor was manufactured, and it can be used to determine the transmitting sensor from the received waveform. In this paper, using an ultrasonic sensor, we establish that there exists a specific distortion profile in the transmitted waveform called physical fingerprint that can be attributed to their intrinsic characteristics. We propose a joint time-frequency analysis-based framework for ultrasonic sensor fingerprint extraction and use it as a feature to train a Naive Bayes classifier. The trained model is used for transmitter identification from the received physical waveform. © 2020 ieee.

关键词： Autonomous vehicles

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Proceedings - 2020 ieee 22nd international conference on High Performance computing and Communications, ieee 18th international conference on Smart City and ieee 6th international conference on Data Science and systems, HPCC-SmartCity-DSS 2020

Proceedings - 2020 IEEE 22nd International Conference on Hig...

引用

22nd ieee international conference on High Performance computing and Communications, 18th ieee international conference on Smart City and 6th ieee international conference on Data Science and systems, HPCC-SmartCity-DSS 2020

ISBN: (纸本)9781728176499

The proceedings contain 183 papers. The topics discussed include: design of direct read from sparse segments in MPI-IO;descriptive and predictive analysis of aggregating functions in serverless clouds: the case of video streaming;a proactive uncertainty driven model for data synopses management in pervasive applications;on-line traffic scheduling optimization in ieee 802.1Qch based time-sensitive networks;multi-layer and heterogeneous resource management in SDN-based space-terrestrial integrated networks;structure preserved graph reordering for fast graph processing without the pain;an efficient approach to vectorize the hybrid breadth-first search;a novel developer portrait model based on Bert-capsule network;job placement strategy with opportunistic resource sharing for distributed deep learning clusters;and batched pattern-aware cache management strategy for astronomical time series sub-images retrieval.

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Research on fault detection of nonlinear DCS sensor of aero-engine based on T-S Fuzzy Model

Research on fault detection of nonlinear DCS Sensor of aero-...

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2020 international conference on Engineering Management of Communication and Technology, EMCTECH 2020

作者： Jiang, Zi-Han Wang, Zhuo-Jian Li, Ding-Zhe Zhao, Ze-Ping Aeronautical Engineering College Air Force Engineering University Xi'an China

ISBN: (纸本)9781665404488

The aero-engine distributed control system has the advantages of light weight, strong scalability, and high reliability. It will be the future development direction of the engine control system. sensor failure detection is of great significance for the safe and reliable operation of the distributed control system. This paper studies the problem of sensor fault detection for aero-engine nonlinear distributed control system based on T-S fuzzy model. Based on the division of the flight envelope, a T-S fuzzy model of the distributed control system in a certain working state is established, and the unknown time delay is converted into the generalized fault vector of the system. On this basis, the T-S fuzzy observer is designed, the linear matrix inequality is derived by means of the regional stability conditions of the error system and the requirement of the robustness index, and the correctness and effectiveness of the model are verified by an example. © 2020 ieee.

关键词： distributed parameter control systems

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Improving Energy Conservation Level in WSNs by Modifying CH Node Location 5

Improving Energy Conservation Level in WSNs by Modifying CH ...

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5th international conference on Fog and Mobile Edge computing (FMEC)

作者： Khalifeh, Ala' Abid, Husam Darabkh, Khalid A. German Jordanian Univ Elect & Commun Engn Dept Amman Jordan Univ Jordan Comp Engn Dept Amman Jordan

ISBN: (纸本)9781728172163

Wireless sensor Networks (WSNs) consist of a large number of small size, limited energy nodes distributed over an Area of Interest (AoI), in order to perform sensing and monitoring operations. Due to their limited energy sources, it is of utmost importance to optimize the nodes' energy consumption thus prolonging the sensors' lifetime. In this paper, an optimization problem is formulated and solved to find the optimal location of the Cluster Head (CH) node with respect to the other nodes such that the communication path loss of the nodes with respect to the CH is minimized. Simulation results have shown that the proposed Cluster Head Positioning Optimization (CHPO) mechanism has proven its effectiveness when compared with the literature work, in reducing the nodes' energy consumption, thus increasing the network lifetime.

关键词： WSNs LEACH CHs Mobile sensor node

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Automated Extraction of ABAC Policies from Natural-Language Documents in Healthcare systems

Automated Extraction of ABAC Policies from Natural-Language ...

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ieee international conference on Bioinformatics and Biomedicine (BIBM)

作者： Yutang Xia Shengfang Zhai Qinting Wang Huiting Hou Zhonghai Wu Qingni Shen School of Software and Microelectronics Peking University Beijing China National Engineering Research Center for Software Engineering Peking University Beijing China PKU-OCTA Laboratory for Blockchain and Privacy Computing Peking University Beijing China

ISBN: (数字)9781665468190

ISBN: (纸本)9781665468206

The healthcare system is a distributed collaborative system and the sensitivity of the medical data is one of the most important requirements. Preventing unauthorized access to healthcare information and data sharing security in the healthcare environment are critical processes that affect the credibility of the system. To achieve this goal and to meet the requirements of the healthcare system, access control is an important measure to realize the safe sharing of resources. The attribute-based access control (ABAC) model meets the complex security requirements of large and complex systems and provides a dynamic, flexible and scalable solution. The main obstacle to deploying ABAC is the precise development of ABAC policies. Manually developing access control policies is tedious, time-consuming and error prone. Most systems have high-level requirement specifications, which are written in natural language. These natural language (NL) documents have the intended access control policies for the systems. In this paper, we propose a new approach towards extracting policies from natural language documents. By fully taking advantage of Bidirectional Encoder Representations from Transformers (BERT) and Semantic role labeling (SRL), we are able to correctly identify access control policy (ACP) sentences with an average F1 score of 85% and correctly extract rules with an average F1 score of 72%, which outperforms the state-of-the-art and leads to a performance improvement of 7% and 2% respectively over the previously reported results.

关键词： Access control Sensitivity Semantics Natural languages Bit error rate distributed databases Medical services

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A Novel Weighted Relaying Algorithm for Opportunistic Mobile Sensing System Applications 10

A Novel Weighted Relaying Algorithm for Opportunistic Mobile...

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10th international conference on Cloud computing, Data Science and Engineering (Confluence)

作者： Shah, Mehul B. GH Patel Coll Engn & Technol Elect & Commun Engn Dept Vallabh Vidhyanagar 388120 India

ISBN: (纸本)9781728127910

Novel mobile information systems are being developed with the use of smartphones. The traditional applications of wireless sensor networks such as environmental monitoring, health care, and transportation are being realized by many mobile social network applications. Smartphones forward various onboard sensor data using a store-carry-forward way to the central repositories over the internet. In this paper, inter contact time distribution of each smartphone user with other users is utilized for efficient sensor data routing. A novel threshold-based approach is used to estimate future interconnection times. Human mobility based Weighted Relaying Algorithm (Hm-WRA) is proposed for routing in opportunistic mobile sensing systems. The proposed protocol performs almost 15% to 20% better compared to an intercontact time based shortest path routing algorithm named CHARON in terms of the data delivery ratio with proper selection of threshold value at each node.

关键词： Internet of Things Opportunistic Routing Opportunistic Mobile Social Networks Mobile Wireless sensor Network Monitoring Applications

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AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban sensor Value Forecasting 20

AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Net...

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20th ieee international conference on Data Mining (ICDM)

作者： Lu, Yi-Ju Li, Cheng-Te Natl Cheng Kung Univ Dept Stat Tainan Taiwan Natl Cheng Kung Univ Inst Data Sci Tainan Taiwan

ISBN: (纸本)9781728183169

Forecasting spatio-temporal correlated time series of sensor values is crucial in urban applications, such as air pollution alert, biking resource management, and intelligent transportation systems. While recent advances exploit graph neural networks (GNN) to better learn spatial and temporal dependencies between sensors, they cannot model time-evolving spatio-temporal correlation (STC) between sensors, and require pre-defined graphs, which are neither always available nor totally reliable, and target at only a specific type of sensor data at one time. Moreover, since the form of time-series fluctuation is varied across sensors, a model needs to learn fluctuation modulation. To tackle these issues, in this work, we propose a novel GNN-based model, Attention-adjusted Graph Spatio-Temporal Network (AGSTN). In AGSTN, multi-graph convolution with sequential learning is developed to learn time-evolving STC. Fluctuation modulation is realized by a proposed attention adjustment mechanism. Experiments on three sensor data, air quality, bike demand, and traffic flow, exhibit that AGSTN outperforms the state-of-the-art methods.

关键词： graph neural network spatio-temporial correlation time series attention adjustment urban computing air quality traffic flow bike demand

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Metrological Characteristics Analysis of Measuring Means for distributed Mobile Measuring System on the Base of Reference Model of an Object 23

Metrological Characteristics Analysis of Measuring Means for...

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23rd international conference on Soft computing and Measurements, SCM 2020

作者： Alekseev, Vladimir V. Korolev, Pavel G. Orlova, Natalya V. Pimenov, Dmitry V. St. Petersburg Russia

ISBN: (纸本)9781728196923

The paper considers metrological characteristics of distributed mobile measuring systems used for characteristics control of objects distributed in space. Mobile measuring systems travel along the prescribed routes and make physical values measurements in prescribed points and at prescribed time. In the course of time both metrological characteristics of measuring means and the values of controlled parameters change. The methods of determination of measuring means metrological characteristic magnitudes variations and controlled physical value magnitudes variations are considered, the deviations of measurement results value relatively reference value are analyzed. In order to raise the accuracy and truthfulness of measurements the algorithms of their analysis are considered. © 2020 ieee.

关键词： distributed mobile measuring systems metrological characteristics analysis reference model

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Versatile Software Framework for the Monitoring and Control of distributed computing systems 2

Versatile Software Framework for the Monitoring and Control ...

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2nd international conference on Embedded and distributed systems, EDiS 2020

作者： Di Gregorio, Francesco Dupuis, Etienne Castelltort, Arnaud Sassatelli, Gilles Gamatie, Abdoulaye Montpellier France

ISBN: (纸本)9781728175034

This paper presents the development of a versatile software framework enabling the multiform and seamless evaluation of distributed systems: from fast and flexible simulation to actual system execution. The OpenStack datacenter resource management infrastructure is considered as the main entry point of the proposed framework. Since the technological bridge between OpenStack and systems in production already exists, we propose a similar bridge to the popular SimGrid distributed system simulator. This way, actual system resources, and abstract SimGrid system models can be managed uniformly from the OpenStack environment. This paves the way to the multiform design exploration of distributed systems. © 2020 ieee.

关键词： Computer software

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Efficient Implementation of Kyber on Mobile Devices 27

Efficient Implementation of Kyber on Mobile Devices

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27th ieee international conference on Parallel and distributed systems, ICPADS 2021

作者： Zhao, Lirui Zhang, Jipeng Huang, Junhao Liu, Zhe Hancke, Gerhard Nanjing University of Aeronautics and Astronautics Jiangsu China Beijing Normal University-Hong Kong Baptist University United International College Guangdong China State Key Laboratory of Cryptology Beijing100878 China City University of Hong Kong Hong Kong Hong Kong

ISBN: (纸本)9781665408783

Kyber, an IND-CCA-secure key encapsulation mechanism (KEM) based on the MLWE problem, has been shortlisted for the third round evaluation of the NIST Post-Quantum Cryptography Standardization. In this paper, we explored the optimizations of Kyber in high-performance processors from the ARM Cortex-A series, which are widely used in mainstream mobile phones. To improve the performance of Kyber, we utilized the powerful SIMD instruction set NEON in an ARMv8-A to parallelize the core modules of Kyber, i.e., modular reduction and NTT. Specifically, we specially designed the optimized implementation based on the characteristic of the NEON instruction set for the Barrett and Montgomery reduction algorithms. To make full use of the computing power of NEON instructions, we proposed a novel strategy for computing the 16-bit Barrett reduction without handling the 32-bit intermediate result. Our Barrett and Montgomery reduction showed 8.52 and 8.89 times faster than the reference implementation. As for NTT/INTT, we adopted the 2+5 layer merging strategy on an ARMv8-A to implement NTT/INTT after carefully analyzing the register occupancy of various layer merging techniques. Thanks to the selected layer merging strategy, our NTT and INTT achieved 11.89 and 13.45 times speedups compared with the reference implementation. Our optimized software achieved 1.77×, 1.85×, and 2.16× speedups for key generation, encapsulation, and decapsulation compared with Kyber's reference implementation. © 2021 ieee.

关键词： Neon

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