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Secure Environmental Monitoring for Industrial Internet of Things: from Framework to Live Implementation 9

Secure Environmental Monitoring for Industrial Internet of T...

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9th international conference on Localization and GNSS (ICL-GNSS)

作者： Bezzateev, Sergey Voloshina, Natalia Zhidanov, Konstantin Ometov, Aleksandr SUAI Univ St Petersburg Russia ITMO Univ St Petersburg Russia Tampere Univ Tampere Finland

ISBN: (纸本)9781728124452

Worldwide changes in climate and increasing pollution level are tremendously affecting the need for environmental monitoring solutions. Recent activities in wireless sensor networks (WSNs) together with Cloud computing paradigm brought an entirely new perspective on monitoring as part of the Industrial Internet of Things (HoT). However, most of the systems developed today are still facing lack of flexibility and security. This work presents the results of prototyping the HoT wireless environmental monitoring system from both hardware and software sides. The developed mechanisms enable connectivity in infrastructure and mesh-like modes, where each sensor could act as relay allowing for improved node-failure resistance and scalability. Next, the authentication mechanism is proposed to enable transparent migration of any node between different network segments while keeping the overall operation secure. Finally, proof of the concept prototype deployment in real-life conditions shows the potential of metropolitan-scale utilization of the developed system.

关键词： prototype environmental monitoring HoT authentication security sensor network

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Embedded Deep Inference in Practice: Case for Model Partitioning 1

Embedded Deep Inference in Practice: Case for Model Partitio...

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1st ACM/ieee international Workshop on Machine Learning on Edge in sensor systems (SenSys-ML) / 2nd Workshop on Blockchain-Enabled Networked sensor systems (BlockSys)

作者： Dey, Swarnava Mukherjee, Arijit Pal, Arpan Balamuralidhar, P. TCS Res & Innovat Kolkata W Bengal India TCS Res & Innovat Bangalore Karnataka India

ISBN: (纸本)9781450370110

With increased focus on in situ analytics, artificial intelligence (AI) algorithms are getting deployed on embedded devices at the network edge. Growing popularity of Deep Learning (DL) and inference largely due to minimization of feature engineering, availability of pre-trained models and fine-tunable datasets especially in image and video analytics, have made these de-facto standard. However, the embedded systems employing these models are often resource constrained and fail to handle scenarios where arrival rate and input data volume increase over a given time period. This has a direct effect on the storage and network usage of such devices, rendering the traditional strategies of input buffering and network offloading ineffective. This paper investigates the use of dynamic layer-wise partitioning and partial execution of DL inference phase to enable inelastic embedded systems to support varying sensing rates and large data volume. The proposed partial execution scheme and partitioning algorithm perform better than standard frame-wise inference methods, when evaluated using workloads of few popular CNNs used in standard object detection models.

关键词： CNN distributed Edge Fog Cloud elastic convolution DAG

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Textile based ferroelectret for foot pressure sensor 1

Textile based ferroelectret for foot pressure sensor

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1st ieee international conference on Flexible and Printable sensors and systems (ieee FLEPS)

作者： Shi, Junjie Beeby, steve Univ Southampton Dept Elect & Comp Sci SEMS Grp Southampton Hants England

ISBN: (纸本)9781538693049

sensors based on piezoelectric materials like ZnO, lead zirconate titanate (PZT), MoS 2 , poly (vinylidene fluoride) (PVDF) and its similar copolymer p(vdf-TrFE) have exhibit excellent through converting mechanical signal into electrical output [1] – [3] . For these conventional piezoelectric materials: PZT and PVDF, PZT possesses excellent dielectric and piezoelectric properties, but is a rigid ceramic with a very high Young’s modulus (63 GPa). In contrast, PVDF is a soft polymer with low Young’s modulus (2.9 GPa), but its piezoelectric charge coefficient d 33 is an order of magnitude lower than of PZT (20 pC/N), which are making they unsuitable for wearable application [4] – [5] . Therefore, there is the need to develop a piezoelectric material with high piezoelectric activity, low Young’s modulus and the ability to stretch and conform for wearable sensing. Ferroelectret is a thin film of polymer foam that can generate electrical signal under mechanical force, which is similar to piezoelectric materials. The typical internal structure of a ferroelectret foam is randomly arranged cellular voids with positive and negative charges stored separately on each surface of the void. Due to the material of the polymer and its cellular structure, the elastic modulus of the ferroelectret is low. The ferroelectret is readily compressible and will undergo large deformation when under a compressive force, which results in a strong piezoelectric effect. Due to its advanced piezoelectric properties in comparison with other piezoelectric materials, numerous applications have been proposed, such as acoustic transducers, high frequency loudspeakers, ultrasonic transmitters and receivers, hydrophones and accelerometers [6] . The soft, flexible nature of the polymer ferroelectret makes it highly suitable for use in wearable sensing applications.

关键词： Textiles Films Fabrication Voltage measurement Pressure sensors Polymers

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Computer Vision and Smoke sensor Based Fire Detection System 1

Computer Vision and Smoke Sensor Based Fire Detection System

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1st international conference on Advances in Science, Engineering and Robotics Technology, ICASERT 2019

作者： Chowdhury, Nahid Mushfiq, Dewan Ruhul Chowdhury, A.Z.M. Ehtesham American International University - Bangladesh Department of Computer Science Dhaka Bangladesh

ISBN: (纸本)9781728134451

Unwanted fire causes many disasters. Thus, fire detection has been an important phenomenon to save human life. In this paper, we proposed a hybrid model that incorporates computer vision and smoke sensor-based fire detection into a single system to devise a more accurate and smart fire detection system. Our vision-based fire detection model utilizes color and motion attributes of fire combustion. Rule-based color segmentation is performed for classifying fire color regions and a modified image difference technique is used for detecting the motion of fire regions in consecutive frames. The proposed dynamic threshold technique is used for mitigating the false positive rate of the vision-based model. After performing a vision-based analysis, the proposed algorithm uses the MQ-2 smoke sensor to detect environment smoke and gas caused by fire combustion. Our implemented system raises a fire alarm in the form of remote notification after analyzing vision and smoke sensor-based model data. Real life experimental data shows that our system can detect fire with 86.67% of accuracy. In addition, the proposed system can be incorporated in existing surveillance systems at an adequately low extra expense. © 2019 ieee.

关键词： Fires

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Multi-sensor-Fusion System for People Counting Applications 1

Multi-Sensor-Fusion System for People Counting Applications

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1st international conference on Societal Automation (SA)

作者： stec, Michal Herrmann, Viktor stabernack, Benno Fraunhofer Heinrich Hertz Inst HHI Embedded Syst Grp Berlin Germany Univ Potsdam Embedded Syst Architectures Signal Proc Potsdam Germany

ISBN: (纸本)9781728133454

For economical as well as environmental reasons, logistical planning and efficient assignment of transport vehicles in public transportation need a precise knowledge of passenger utilization. To provide reliable figures sophisticated counting methods are demanded. Previously developed systems, mostly using a single 2D image sensor or a 3D depth sensor, can not fully achieve the required accuracy. In this paper, we present a robust people counting algorithm, based on multi sensor data fusion. Our solution runs on embedded systems with reasonable requirements with respect to computational power. 3D distance information, obtained from the ToF system, is used to perform the basic detection of objects. Once detected, the objects get additional classification features exploiting the data provided by a RGB camera and an IR thermal sensor. We describe the current state of fusing and processing of the collected data including the detection, classification (vital, non-vital), as well as sequential tracking and counting. We provide current counting results along with insights to future development concepts to improve the stated algorithms especially in terms of vital, nonvital classification and object recognition.

关键词： Multi sensor Fusion 3D vision

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Verifiable Smart Contract Portability 1

Verifiable Smart Contract Portability

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1st ieee international conference on Blockchain and Cryptocurrency (ieee ICBC)

作者： Westerkamp, Martin Tech Univ Berlin Telekom Innovat Labs Serv Centr Networking Berlin Germany

ISBN: (纸本)9781728113289

With the advent of blockchain technologies, the idea of decentralized applications has gained traction. Smart contracts permit the implementation of application logic to foster distributed systems that are capable of removing intermediaries. Hereby, lock in effects originating from isolated data storage and central authorities are mitigated. Yet, smart contracts deployed to a ledger generate dependencies on the underlying blockchain. Over time, requirements regarding contract execution may detach from the utilized blockchain due to contradicting incentives and security or performance issues. To avoid a novel form of lock in effect towards a host blockchain, we introduce a concept for smart contract portability that permits any user to migrate contract logic and state between blockchains in a flexible and verifiable manner. As the Ethereum Virtual Machine (EVM) is supported by a multitude of blockchain implementations, it poses a common execution environment for smart contracts. We provide a toolbox that facilitates smart contract portability between EVM-compatible blockchains without trust requirements in the entity executing the migration process. To prove the concept's soundness, we transfer token contracts based on the ERC20 standard as well as applications containing dependencies to other smart contracts. Our evaluation shows the validity of ported applications including their current states.

关键词： Blockchain distributed Ledger Technology (DLT) Smart Contract Interoperability Portability Ethereum Virtual Machine (EVM)

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Moving-Target Defense for Detecting Coordinated Cyber-Physical Attacks in Power Grids

Moving-Target Defense for Detecting Coordinated Cyber-Physic...

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ieee international conference on Communications, Control, and computing Technologies for Smart Grids (SmartGridComm)

作者： Lakshminarayana, Subhash Belmega, E. Veronica Poor, H. Vincent Univ Warwick Sch Engn Coventry W Midlands England Univ Cergy Pontoise Univ Paris Seine ETIS CNRSENSEA Cergy Pontoise France Princeton Univ Dept Elect Engn Princeton NJ 08544 USA

ISBN: (纸本)9781538680995

This work proposes a moving target defense (MTD) strategy to detect coordinated cyber-physical attacks (CCPAs) against power grids. A CCPA consists of a physical attack, such as disconnecting a transmission line, followed by a coordinated cyber attack that injects false data into the sensor measurements to mask the effects of the physical attack. Such attacks can lead to undetectable line outages and cause significant damage to the grid. The main idea of the proposed approach is to invalidate the knowledge that the attackers use to mask the effects of the physical attack by actively perturbing the grid's transmission line reactances using distributed flexible AC transmission system (D-FACTS) devices. We identify the MTD design criteria in this context to thwart CCPAs. The proposed MTD design consists of two parts. First, we identify the subset of links for D-FACTS device deployment that enables the defender to detect CCPAs against any link in the system. Then, in order to minimize the defense cost during the system's operational time, we use a game-theoretic approach to identify the best subset of links (within the D-FACTS deployment set) to perturb which will provide adequate protection. Extensive simulations performed using the MATPOWER simulator on ieee bus systems verify the effectiveness of our approach in detecting CCPAs and reducing the operator's defense cost.

关键词： Power grids Mean Temperature Difference MT1E gene Transmission Lines Attackers Security flexible AC transmission systems physical Subset

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SOC-based BESS control logic for dynamic frequency regulation in microgrids with renewables 1

SOC-based BESS control logic for dynamic frequency regulatio...

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1st conference on Energy Transition in the Mediterranean Area (SyNERGY MED)

作者： Graditi, G. Ciavarella, R. Di Somma, M. Guidi, G. Valenti, M. ENEA Kista Sweden ENEA Photovolta Syst & Smart Grid Unit Kista Sweden ENEA Solar Thermal & Smart Network Div Kista Sweden ENEA Energy Technol Dept Kista Sweden Italian Minist Def Rome Italy Univ Connecticut Dept Elect & Comp Engn Storrs CT USA Energy Technol Dept Tech Strateg Support Unit Kista Sweden Minist Econ Dev Elect Market Renewable Energy Energy Efficiency & Rome Italy Guglielmo Marconi Univ Fac Appl Sci & Technol Course Decommissioning & Radioact Waste Managemen Rome Italy Telecommun Sect Kista Sweden Themat Working Grp Kista Sweden Smart Grid & Energy Network Lab Kista Sweden

ISBN: (纸本)9781728130873

In recent years, power systems have been characterized by significant changes. The shift from centralized generation to non-dispatchable distributed generation needs crucial actions to maintain the network security and stability. In such a scenario, battery energy storage systems (BESS) arc expected to have a key role for frequency restoration processes, thanks to their rapid response to frequency deviations. In this paper, an innovative control logic based on BESS management is proposed for dynamic frequency restoration in microgrids (mu Gs) with renewables. In addition to the BESS management, a new function, which is the state of Charge (SOC) Management Control (SMC), is developed. The SMC logic allows keeping the BESS SOC within the "energy restoration band" as the SOC interval where the BESS is certainly able to participate to the frequency restoration process after system imbalances. This allows ensuring the needed amount of energy restoration reserves during the mu G operation for next frequency deviation events. In simulation testing, carried out in DIgSILENT Powerfactory environment, two mu Gs in grid-connected and islanded modes are investigated. Results show that the SMC logic increases the possibility for the BESS to participate to frequency restoration processes as compared with the case without the control logic, by ensuring a higher availability of energy reserves, thus improving the mu Gs reliability for both the analyzed configurations.

关键词： Battery energy storage systems Control logic distributed generation Frequency stability Microgrid Renew ables state-of-Charge

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distributed Machine Learning over Wireless sensor Networks

Distributed Machine Learning over Wireless Sensor Networks

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ieee international conference on Pervasive computing and Communications (PerCom)

作者： Yamaguchi, Hirozumi Osaka Univ Grad Sch Informat Sci & Technol Osaka Japan

ISBN: (纸本)9781538691519

In Japan, Society 5.0 has been promoted by the government, which highly integrated cyber space and physical space to realize better and sophisticated societies, communities, industry and economy. Toward Society 5.0, ubiquitous and pervasive computing systems based on IoT technologies will play more significant roles. Especially for context/situation-awareness, wireless sensor nodes become tinier and more energy-efficient, and they will be embedded into our living space and environment. As the number of such sensors increases, the amount of information which they sense will also increase for higher level of context recognition and understanding of real-world objects and phenomena. Accordingly, the data analysis is conducted in remote locations (e.g. cloud servers) and the data collection cost might be a primary issue. In addition, data processing cost would not be ignorable as machine learning generally incurs significant workload at the cloud servers. To cope with the issue, in this talk, we introduce a unique approach to train and run neural networks inside wireless sensor networks. We conducted two experiments using real data; one is for anomaly detection of temperature in an over-1,400 square meters lounge space using 50 temperature sensors to confirm the learning capability as well as communication overhead, and another is for activity recognition using an array of thin-, energy-efficient film-type infra-red sensors with micro-processors to demonstrate our concept.

关键词： Wireless sensor networks conferences Machine learning Pervasive computing Energy efficiency Cloud computing Servers

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1st international conference on Mechanical Electronic and Biosystem Engineering, MEBSE 2018

1st International Conference on Mechanical Electronic and Bi...

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1st international conference on Mechanical Electronic and Biosystem Engineering, MEBSE 2018

The proceedings contain 88 papers. The topics discussed include: analysis of human behavior while controlling the steering wheel of a buggy electric vehicle (EV);document images binarization using hybrid combination of fuzzy C-means and Deghost method;an overview on overvoltage phenomena in power systems;selection of morphological features in classifying weedy rice and rice seed varieties using discriminant function analysis;distributed online averaged one dependence estimator (DOAODE) algorithm for multi-class classification of network anomaly detection system;enhancement of motor imagery brain computer interface performance using channel reduction method based on statistical parameters;automated chicken weighing system using wireless sensor network for poultry farmers;and high gain of directional ultra-wideband array antenna using flat reflector structure for microwave imaging.

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