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

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Blockchain-based distributed platform for accountable medical data sharing 21

Blockchain-based distributed platform for accountable medica...

引用

Proceedings of the 14th ieee/ACM international conference on Utility and Cloud computing Companion

作者： Azam Khan Ashiq Anjum University of Leicester Leicester UK

ISBN: (纸本)9781450391634

In the recent years, blockchain has been widely studied and applied as a solution to address various healthcare challenges associated with the legacy systems. Availability of a trusted healthcare ecosystem for accountable medical data sharing still remains a problem. This paper discusses the potential applications of blockchain in healthcare and proposes a blockchain-based framework to facilitate health data availability and sharing. It identifies the implementation challenges of such a system and discusses their relationship with blockchain's intrinsic design and characteristics. In the end, this paper delineates the future research directions required to overcome the challenges in realizing a blockchain-based platform for accountable medical data management and sharing.

关键词： data sharing blockchain health care

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Live Forensics for HPC systems: A Case Study on distributed Storage systems

Live Forensics for HPC Systems: A Case Study on Distributed ...

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international conference on High Performance computing, Networking, Storage and Analysis (SC)

作者： Jha, Saurabh Cui, Shengkun Banerjee, Subho S. Xu, Tianyin Enos, Jeremy Showerman, Mike Kalbarczyk, Zbigniew T. Iyer, Ravishankar K. Univ Illinois Urbana IL 61801 USA Natl Ctr Supercomp Applicat Urbana IL 61801 USA

ISBN: (纸本)9781728199986

Large-scale high-performance computing systems frequently experience a wide range of failure modes, such as reliability failures (e.g., hang or crash), and resource overload-related failures (e.g., congestion collapse), impacting systems and applications. Despite the adverse effects of these failures, current systems do not provide methodologies for proactively detecting, localizing, and diagnosing failures. We present Kaleidoscope, a near real-time failure detection and diagnosis framework, consisting of of hierarchical domain-guided machine learning models that identify the failing components, the corresponding failure mode, and point to the most likely cause indicative of the failure in near real-time (within one minute of failure occurrence). Kaleidoscope has been deployed on Blue Waters supercomputer and evaluated with more than two years of production telemetry data. Our evaluation shows that Kaleidoscope successfully localized 99.3% and pinpointed the root causes of 95.8% of 843 real-world production issues, with less than 0.01% runtime overhead.

关键词： Supercomputers

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Online Pattern Recognition of Time-series Gas sensor Data with Adaptive 2D-CNN Ensemble

Online Pattern Recognition of Time-series Gas Sensor Data wi...

引用

ieee international Workshop on Intelligent Data Acquisition and Advanced computing systems: Technology and Applications

作者： Vishakha Pareek Santanu Chaudhury Sanjay Singh CSIR - Central Electronics Engineering Research Institute Pilani India Academy of Scientific and Innovative Research (AcSIR) Ghaziabad India Indian Institute of Technology Delhi India

ISBN: (纸本)9781665426060

Intelligent sensor system design demands the efficient pattern recognition method that uses raw time-series sensor data to identify the target gas with fast and accurate results. The presented work uses gas sensor array response (open sampling setting) for 10 bio-marker gases. The responses are obtained at different concentrations. We propose a 2D convolution neural network (2D-CNN) based adaptive ensemble network for gas identification. The Spatio-temporal correlation of sensor array responses inspired us to design deep-learning-based gas identification networks. The network uses raw time-series gas sensor array data and identifies the target gas mixtures with improved accuracy despite sensor drift. Experimental results show that the proposed methods are an effective technique with identification accuracy approximately 91% for identifying gas mixture for smart sensor system application. The proposed method outperforms and provides higher identification accuracy than comparable various machine learning and deep learning methods.

关键词： Deep learning Gases Adaptive systems Neural networks Data acquisition Pattern recognition Gas detectors

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Data Augmentation of IMU Signals and Evaluation via a Semi-Supervised Classification of Driving Behavior 23

Data Augmentation of IMU Signals and Evaluation via a Semi-S...

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23rd ieee international conference on Intelligent Transportation systems (ITSC)

作者： Jaafer, Amani Nilsson, Gustav Como, Giacomo Royal Inst Technol KTH Div Syst Anal & Econ Stockholm Sweden Georgia Inst Technol Sch Elect & Comp Engn Atlanta GA 30332 USA Politecn Torino Dept Math Sci Turin Italy Lund Univ Dept Automat Control Lund Sweden

ISBN: (纸本)9781728141497

Over the past years, interest in classifying drivers' behavior from data has surged. Such interest is particularly relevant for car insurance companies who, due to privacy constraints, often only have access to data from Inertial Measurement Units (IMU) or similar. In this paper, we present a semi-supervised learning solution to classify portions of trips according to whether drivers are driving aggressively or normally based on such IMU data. Since the amount of labeled IMU data is limited and costly to generate, we utilize Recurrent Conditional Generative Adversarial Networks (RCGAN) to generate more labeled data. Our results show that, by utilizing RCGAN-generated labeled data, the classification of the drivers is improved in 79% of the cases, compared to when the drivers are classified with no generated data.

关键词： IMU sensor driving behaviors data generation data evaluation

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Survey on Media Access Control Protocols in Wireless sensor Network 4

Survey on Media Access Control Protocols in Wireless Sensor ...

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4th international conference on Inventive systems and Control, ICISC 2020

作者： Roopitha, C.H. Pai, Vasudeva Nmam Institute of Technology Department of Ise Karkala India

ISBN: (纸本)9781728128139

Wireless sensor networks has been a large analysis topic over a decade. sensor networks are autonomous sensors distributed spatially to observe physical or environmental conditions. Those sensors generate record about the prevalence of an event over the network. A well-organized MAC protocol layout has a paramount significance for a sensor network to offer higher reliability and advanced lifetime. There are numerous MAC protocols multichannel that play higher than that of the single channel protocols. MAC layer coordinates the transmission between users who share a spectrum and enhances efficiency of strength and throughput. © 2020 ieee.

关键词： Wireless sensor networks

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Thermal Piloting: A Novel Approach for sensor Localization in Data Center Monitoring 15

Thermal Piloting: A Novel Approach for Sensor Localization i...

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15th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Jafarizadeh, Mehdi Tsai, Peiying J. Zheng, Rong McMaster Univ Dept Comp & Software Hamilton ON Canada McMaster Univ Dept Mech Engn CIRC Hamilton ON Canada

ISBN: (纸本)9781728105703

Monitoring ambient air temperature is one of the important operations to ensure resilience and efficiency in large-scale data centers. However, deployment of a data center monitoring system requires recording the location of thousands of sensors which is a labor-intensive task if is done manually. Since Radio-Frequency (RF) based localization solutions in literature are inadequate in the multipath rich environment of data centers, we investigated the possibility of utilizing the measurements of the sensors in localizing themselves. The idea of thermal piloting is to correlate sensor measurements with the expected temperature values at their locations. It can be treated as a classification problem, in which the feature vector is formed by the temperature values at each sensor location across different cooling configurations. The training set is provided by Computational Fluid Dynamic (CFD) simulations. Since classical supervised learning techniques fail to account for the bijective relation between sensor indices and locations, we formulated an extra step based on the Maximum Weighted Bi-partite Matching (MWBM) problem. Experimental results show that the proposed methods can achieve an average localization error of 0.64 meters.

关键词： Localization Temperature sensor CFD simulation

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Security of Data with Enhanced Technique of DiDrip Protocol for distributed systems in Mobile Wireless sensor Networks

Security of Data with Enhanced Technique of DiDrip Protocol ...

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international conference on Computation System and Information Technology for Sustainable Solutions (CSITSS)

作者： Shifana Begum Akhilraj V. Gadagkar Senthil Kumar Manohar Koli Srinivas University College of Engineering & Technology Mukka Mangalore India National Institute of Technology Karnataka Surathkal Mangalore India Karnataka University Dharwad India

ISBN: (纸本)9781665406116

Mobile Wireless sensor Network do not have any protocols, hence the protocols from MANET are chosen for MWSN. Data discovery and dissemination is to disseminate small configuration parameters, variables, queries, and commands in packets. The data gathered by the sensors should be transmitted to the base station or to any destination that requires *** systems are based on the centralized approach; where in it does not hold good for multiple owner-multiple users. These protocols have certain security issues due to which adversaries can easily hack the systems and can cause failure to the network. Many works have been proposed for the data dissemination but none of them could provide security for the *** work presented in this paper proposes the first reliable and secure protocol called DiDrip, that enables an effective data discovery and dissemination in a distributed system. The proposed protocol is robust and efficient. It allows multiple users (intermediate nodes) to get registered with network administrator and grants special privileges to the users so that users can directly disseminate data into the sensor nodes.

关键词： Wireless communication Wireless sensor networks Protocols Data security distributed databases sensor systems sensors

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An Efficient Triple-Layered and Double Secured Cryptography Technique in Wireless sensor Networks

An Efficient Triple-Layered and Double Secured Cryptography ...

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ieee distributed computing, VLSI, Electrical Circuits and Robotics (DISCOVER)

作者： Kolla Vivek Mastan Rao Kale Venkata Sai Krishna Thotakura K Sushma QIS Institute of Technology Ongole QIS College of Engg. & Tech. Ongole Narasaraopeta Engg. College Narasaraopeta Vignan’s Institute of Information Technology Duvvada

ISBN: (纸本)9781665429528

When implemented in a complex environment, wireless network security is the main factor, and it is the sensor networks’ primary concern. Cryptology is a vital component in wireless sensor networks to accomplish this. Many existing cryptographic techniques had not shown good and better results till now. An efficient, strong, triple phased, double secured, and integrated cryptographic approach has been introduced in this study that utilizes both secret-key and public-key methods. Rijndael Encryption Approach (REA), Horst Feistel’s Encryption Approach (HFEA), and enhanced Rivest-Shamir-Adleman (e- RSA) are employed in the propounded technique in various stages of the algorithm since secret-key based system offers a significant level of protection and enable key management through publickey based techniques. REA was used in stage 1 of the algorithm; REA+HFEA was used in stage 2, and REA+HFEA+e-RSA was used in the last stage, and all three stages were performed in parallel. Parameters like execution time and decryption time were taken into account for measuring the performance levels of the propounded approach. The propounded algorithm is differentiated from existing techniques using a single evaluation parameter i.e computation time. It is found that propounded approach gave a good performance in terms of computation time with an Average Encryption Time (AET) and Average Decryption Time (ADT) of 1.12 and 1.26 on text sizes of 6, 25, 35, 61, and 184MegaBytes (MB) respectively. The proposed hybrid model is 1.36 times faster than ECC+RSA+MD-5,3.25 times faster than AES+ECC, 2.7 times faster than AES+RSA, and 3.24 times faster than AES+ECC+RSA+MD5.

关键词： Wireless sensor networks Wireless networks conferences Public key Very large scale integration Robot sensing systems Time measurement

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A swing routing approach to improve performance of shortest geographical routing protocol for wireless sensor networks 2

A swing routing approach to improve performance of shortest ...

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2nd international conference on Information and Communications Technology, ICOIACT 2019

作者： Hadi, Novi Trisman Wibisono, Waskitho Department of Informatics Institut Teknologi Sepuluh Nopember Surabaya60111 Indonesia

ISBN: (纸本)9781728116556

The advances of the wireless sensor network (WSN) has brought the development of many applications in various fields such as environment, military, traffic monitoring systems, etc. The WSN network consists of a sink node and a vast number of sensor nodes that are spatially distributed. sensor nodes have limitations in computing and battery, so effective routing protocols are needed to extend network lifetime. One of the frequently used routing protocols in WSN is Shortest Geographical Routing (SGP). Shortest geographical routing approach employs the hop-by-hop concept by utilizing neighboring nodes to forward data to the sink node. This fact may produce unbalance network load especially to the sensor nodes around the sink node will be busier than other nodes, causing the battery node to run out faster. To address this issue, we propose the swing routing approach to balance the network load and maintain the packet delivery ratio. This development is expected to be able to carry out the routing function by selecting the right and balanced traffic at distributed sensor nodes in the network. These approach aims to increase the WSN network lifetime and packet delivery ratio, minimizing the number of dead nodes and energy consumptions. Robust experiments have been conducted to evaluate the proposed approach. The experiment results show that Swing routing get a longer average of network lifetime 5.08%, obtains a higher average of packet delivery ratio 114.4% and reduce dead nodes 7.99% and get average remaining energy 40.88% compared to the shortest geographical routing approach as the popular routing protocol applied in the WSN environments. © 2019 ieee

关键词： sensor nodes

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Towards a Platform for Smart City-Scale Cognitive Assistance Applications

Towards a Platform for Smart City-Scale Cognitive Assistance...

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Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), ieee conference on

作者： Thomas Rausch Waldemar Hummer Christian Stippel Silvio Vasiljevic Carmine Elvezio Schahram Dustdar Katharina Krösl TU Wien Columbia University VRVis Forschungs-GmbH

This position paper describes CognitiveAR, a system that seamlessly interfaces AR devices with smart city environments. Edge computing nodes distributed throughout the city enable multi-user cognitive assistance applications that require (1) real-time sensor data from the environment, such as approaching cars, and (2) computing resources for low-latency video processing. We discuss three such applications to elicit requirements for a platform to support them, and present our system design.

关键词： Three-dimensional displays Smart cities conferences distributed databases User interfaces Streaming media Real-time systems

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