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FLEPS 2019 - ieee international conference on Flexible and Printable sensors and systems, Proceedings

FLEPS 2019 - IEEE International Conference on Flexible and P...

引用

1st ieee international conference on Flexible and Printable sensors and systems, FLEPS 2019

ISBN: (纸本)9781538693049

The proceedings contain 91 papers. The topics discussed include: textile based ferroelectret for foot pressure sensor;active-matrix IGZO array with printed thermistor for large-area thermal imaging;flexible capacitive UV sensor for future wearables;nanojet printed coplanar waveguides on flexible polyimide substrate up to 24 GHz;UV cured PVP gate dielectric for flexible organic field effect transistors;3D printed interconnects on bendable substrates for 3D circuits;laser-assisted fabrication of flexible micro-structured pressure sensor for low pressure applications;printable piezoresistive carbon formulation for stretch and flex sensors in e-textile applications;and microdroplet based organic vapor sensor on a disposable GO-chitosan flexible substrate.

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Black SDN for WSN 1

Black SDN for WSN

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1st international conference on Smart systems and Data Science, ICSSD 2019

作者： El Yazidi, Abdelaziz El Kamili, Mohamed Hasnaoui, My Lahcen Moulay Ismail University of Meknes Morocco Hassan II University of Casablanca Higher School of Technology Morocco

ISBN: (纸本)9781728143682

In this article, we present Black SDN, a Software Defined Networking (SDN) architecture for networking and secure communications in wireless sensor networks (WSN). SDN architectures have been developed to improve the routing and networking performance of broadband networks by separating simple controls from data. This basic SDN concept is compatible with WSN networks;However, common SDN implementations for wired networks do not lend themselves directly to distributed mesh networks. SDN promises to improve the lifespan and performance of WSN networks. However, the SDN architecture modifies the WSN network communication schemes, allowing new types of attacks and requiring a new approach to securing the WSN network. Black SDN is a new secure SDN-based network architecture that secures metadata and payload within each layer of a WSN communication packet while using the SDN centralized controller as a trusted third party for secure routing and optimized management of system performance. © 2019 ieee.

关键词： Wireless sensor networks

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Radio-Mechanical Model of Epidermal Antenna stretching during Human Gestures 1

Radio-Mechanical Model of Epidermal Antenna Stretching durin...

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

作者： Diotallevi, G. Miozzi, C. Cirelli, M. Valentini, P. P. Marrocco, G. Univ Roma Tor Vergata Via Politecn 1 I-00133 Rome Italy

ISBN: (纸本)9781538693049

Recent developments in Materials and Radiofrequency Identification (RFID) technologies are currently stimulating the development of new class of flexible epidermal devices for the wireless remote monitoring of biophysical parameters. The natural movements and gestures of the human body will not only produce mechanical stretching of skin antennas but they could also affect their communication performance. In this contribution we evaluate the degradation of the radiation gain of on-skin UHF antennas in common gestures by a combined mechanical-electromagnetic model. The deformation of the skin is firstly quantified by using a 3D scanner and hence the communication impact is evaluated with reference to a typical 867 MHz thin wire split-ring epidermal antenna. Preliminary numerical simulations and experimentations demonstrated that the behavior of the antenna is modified with a maximum 30% degradation of the read distance for the strain orientation producing the minimum mechanical stiffness.

关键词： Epidermal Electronics Radiofrequency Identification

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Challenges of the digital transformation: The role of sensors, sensor networks, IoT-devices, and 5G 1

Challenges of the digital transformation: The role of sensor...

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1st international conference on Societal Automation (SA)

作者： Ahrend, Ulf Aleksy, Markus Berning, Matthias Gebhardt, Joerg Mendoza, Francisco Schulz, Dirk ABB Corp Res Ctr Automat & Grid Technol Ladenburg Germany ABB Corp Res Ctr Software Technol & Applicat Ladenburg Germany

ISBN: (纸本)9781728133454

We describe the importance of sensors and sensing concepts for digitalization of large automation systems. Process industries have been adopted as a starting point. Two recent developments in temperature sensing are given as examples for sensor innovations with a potentially strong impact. Non-invasive and model-based sensing have been identified as trends. Advanced concepts for power supply and communication of sensors are discussed. An attempt is made to identify and interpret recent component developments, standards and systematic ideas, which may be relevant for large sensor systems in many areas.

关键词： sensors sensing concepts model-based no-ninvasive digitalization Industrie 4.0 connectivity pervasive sensing 5G

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System Implementation and Preliminary Results of a Community Battery Energy storage System 1

System Implementation and Preliminary Results of a Community...

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

作者： Armenakis, Andreas Chatzigeorgiou, Nikolas Afxenti, stavros Panagiotou, Konstantina Efthymiou, Venizelos Georghiou, George E. Elect Author Cyprus CY-2025 Nicosia Cyprus Univ Cyprus Dept Elect & Comp Engn FOSS Res Ctr Sustainable Energy PV Technol Lab CY-2109 Nicosia Cyprus

ISBN: (纸本)9781728130873

All power systems have some inherent level of flexibility as loads change over time and sometimes in unpredictable ways. In addition, as renewable energy sources (RES) are intermittent in nature (this is more common to wind systems and less for PV systems) increasing their share in the energy mix means the demand/supply balance will be even harder to achieve through the existing inflexible conventional power plans. Battery energy storage systems (BESS) are a promising technology that can provide flexibility, reliability, and resilience to the power grid. This paper focuses on the analysis of the first-ever community BESS installed in Cyprus, in terms of system integration, control strategies, and overall system operation. At the end of the paper, recommendations for further exploitation of the community BESS are given, such as the possibility of providing ancillary services to the distribution grid.

关键词： battery energy storage system distributed storage frequency stability voltage stability reactive power control grid integration logic control battery modelling

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Data Fusion Analysis with Optimal Weight in Smart Grid 1

Data Fusion Analysis with Optimal Weight in Smart Grid

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1st international conference on Artificial Intelligence in Information and Communication (ICAIIC)

作者： Zhu, Dengjun Yuan, Haiwei Yan, Jinlong Qing, Yanping Yang, Weijie State Grid Xuchang Elect Power Supply Co Xuchang Henan Peoples R China Xuchang Water Conservancy Planning & Design Inst Xuchang Henan Peoples R China Fudan Univ Shanghai Peoples R China Shanghai Inst Intelligent Elect & Syst Shanghai Peoples R China

ISBN: (纸本)9781538678220

In recent years, Wireless sensor Network (WSN) have been widely used in the Industrial Internet of Things (IIOT), especially in smart grid. The sensors not only extract the key attributes of the basic data onto operating state of various underground cables, but also remove the redundant description of the data onto the data systems. Further, the sensors can also deal with inconsistent information about the data systems. In order to ensure the reliable fusion data containing all the key information of the basic data and meeting the standard requirements of underground cable, we could overlap the sensing areas of the sensor nodes with each other. The deployment often has the problems of weak expansion ability, network delay and uneven energy consumption of nodes. Therefore, this paper focuses on the optimal weight data fusion analysis to improve the current situation. This method is more efficient for data fusion processing and data extraction.

关键词： Wireless sensor network Optimal weight Data fusion Smart grid

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Mobile-based Intelligent Skin Diseases Diagnosis System 1

Mobile-based Intelligent Skin Diseases Diagnosis System

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1st international conference of Intelligent computing and Engineering, ICOICE 2019

作者： Sallam, Amer Ba Alawi, Abdulfattah E. Al-Saced Faculty of Engineering IT Taiz University Computer Networks and Distributed Systems Dept Taiz Yemen Al-Saecd Faculty of Engineering IT Taiz University Software Engineering Dept Taiz Yemen

ISBN: (纸本)9781728144870

Skin diseases are the most common diseases in humans. The inherent variability in the appearance of skin diseases makes it hard even for medical experts to detect disease type from dermoscopic images. Recent advances in image processing using the Convolution Neural Networks have led to better results in diagnosing systems. We aim to develop an advanced diagnostic system in a manner that meets the requirements of real-Time and extensibility of medical services for skin disease detection. The proposed system provides offline diagnosis for the users who have not Internet connection or online diagnosing uses on-cloud service. The user captures the affected area and get the offline immediate report. The schema offers the users a communication window with dermatologists to get medical recommendations in addition to an online accurate diagnosis service. The new images that are labeled by dermatologists are used to retrain the model to enhance model accuracy. To maximize the number of users, the system is implemented in a mobile-based environment. With the growing numbers of portable apps, it becomes easy for people to obtain up-To-date data. Users are familiar with looking for answers from the virtual globe including health issues. The following experimental results demonstrate the feasibility of the proposed method. The average obtained accuracy is 83% in testing cases. © 2019 ieee.

关键词： Diagnosis

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SenSys-ML 2019 - Proceedings of the 1st Workshop on Machine Learning on Edge in sensor systems, Part of SenSys 2019

SenSys-ML 2019 - Proceedings of the 1st Workshop on Machine ...

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1st ACM/ieee international Workshop on Machine Learning on Edge in sensor systems, SenSys-ML 2019, held in conjunction with the 17th ACM conference on Embedded Networked sensor systems, SenSys 2019

ISBN: (纸本)9781450370110

The proceedings contain 7 papers. The topics discussed include: emotion filtering at the edge;kingfisher: an industrial security framework based on variational autoencoders;GazeFCW: filter collision warning triggers by detecting driver's gaze area;efficient sparse processing in smart home applications;embedded deep inference in practice: case for model partitioning;skipping RNN state updates without retraining the original model;and finding dory in the crowd: detecting social interactions using multi-modal mobile sensing.

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Half-volt IGZO flexible thin-film transistors with E-beam deposited Al2O3 gate dielectric 1

Half-volt IGZO flexible thin-film transistors with E-beam de...

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

作者： Kumar, Dinesh Abdou, Aly Kettle, Jeff Bangor Univ Sch Elect Bangor LL57 1UT Gwynedd Wales

ISBN: (纸本)9781538693049

Indium-gallium-zinc-oxide thin-film transistors gated with e-beam processed, thin Al2O3 have been fabricated on a plastic substrate. The devices show a low operating voltage (VD) of less than 1 V, a high current on/off ratio >10(3), threshold voltage Vth of 0.07V, mobility mu of 145.6 cm(2)V(-1)s(-1) and a low subthreshold swing <200 mV/decade. The effects of bending on the gate dielectric in terms of important performance parameters have been studied and it is shown that the devices maintain their high performance even when flexed to a curvature radius of 15 mm. As a result, such devices possess a great potential for low-power, flexible electronics.

关键词： IGZO thin film transistor e-beam Aluminum oxide

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Fog-based Data Fusion for Heterogeneous IoT sensor Networks: A Real Implementation 15

Fog-based Data Fusion for Heterogeneous IoT Sensor Networks:...

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15th Int Conf on Network and Serv Management (CNSM) / 1st Int Workshop on Analyt for Serv and Application Management (AnServApp) / Int Workshop on High-Precision Networks Operat and Control, Segment Routing and Serv Function Chaining (HiPNet+SR/SFC)

作者： Valente, Fredy Joao Morijo, Joao Paulo Vivaldini, Kelen Cristiane T. Trevelin, Luis Carlos Fed Univ Sao Carlos UFSCAR Dept Comp Sao Carlos SP Brazil

ISBN: (纸本)9783903176249

The Internet of Things (IoT) is an environment that can be divided in three large layers: the sensor/actuator level where a wide variety of objects with different computing, sensors and communication capabilities resides, the communication layer with wireless technologies such as ZigBee, Bluetooth and emerging 6LoWPAN (e.g LoRa), and the intelligence layer, where computing analytics/decisions occur. IoT can be used for monitoring, inferring problems, decision making at a business level or actuating at the edge via IoT nodes. As the IoT sensor network grows, an enormous amount of data from multiple sources flows to the intelligence layer. In order to make decisions based on analytics over these data, the measurements need to be precise and accurate. Data fusion is an effective way to improve data quality, however, IoT environments are still evolving and the best way and location where data fusion should happen is an open problem. This paper presents one potential strategy for IoT sensor data fusion by implementing multi-sensor data fusion as microservices using a container platform built into an opensource IoT middleware based in a fog computing infrastructure which is can scale automatically as the influx of data from the IoT nodes grows. A number of data fusion tests were performed for different amounts of IoT nodes and sensor readings over ZigBee and LoRa using a specific data fusion algorithm. The results show that, the strategy can be effectively used in IoT heterogeneous environments.

关键词： IoT data fusion fog computing IoT middleware micro service container sensor network

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