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检索条件"任意字段=International Conference on Sensor Technologies and Applications, SensorComm"

共 9413 条记录，以下是4921-4930 订阅

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Dependability in sensor, Cloud, and Big Data Systems and applications 1

引用

丛书名： Communications in Computer and Information Science

1000年

作者： Guojun Wang Md Zakirul Alam Bhuiyan Sabrina De Capitani di Vimercati Yizhi Ren

ISBN: (数字)9789811513046

ISBN: (纸本)9789811513039

This book constitutes the refereed proceedings of the 5th international conference on Dependability in sensor, Cloud, and Big Data Systems and applications, DependSys, held in Guangzhou, China, in November 2019.;The volume presents 39 full papers, which were carefully reviewed and selected from 112 submissions. The papers are organized in topical sections on dependability and security fundamentals and technologies; dependable and secure systems; dependable and secure applications; dependability and security measures and assessments; explainable artificial inteligence for cyberspace.

关键词： Systems and Data Security Computer Communication Networks Special Purpose and Application-Based Systems Computer System Implementation Coding and Information Theory Database Management

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An improved DV-hop localization algorithm based on centroid multilateration 19

An improved DV-hop localization algorithm based on centroid ...

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2019 ACM Turing Celebration conference - China, ACM TURC 2019

作者： Wang, Jing Hou, Anqi Tu, Yuanfei Department of Computer Science and Technology Nanjing Tech University Nanjing China

ISBN: (纸本)9781450371582

Localization has been a fundamental service for Wireless sensor Network (WSN) based applications. Among all localization technologies, the Distance Vector-Hop (DV-Hop) algorithm is one of the most popular algorithm because it is easy to implement. It simply utilizes the hop counts as connectivity measurements, but this often brings big errors. In this paper, we propose an improved DV-Hop scheme in which a centroid multilateration method is presented to solve the inconsistent problem of multilateration in the original DV-Hop localization scheme. Our algorithm can effectively improve the accuracy while maintaining low computational complexity. Experiments are conducted on two different network topologies and the simulation results show that our scheme out-performs related algorithms in accuracy and communicational cost. © 2019 Copyright is held by the owner/author(s).

关键词： Wireless sensor networks

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An energy optimized unequal clustering routing protocol in wireless sensor networks

An energy optimized unequal clustering routing protocol in w...

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7th international conference on Ubiquitous Information technologies and applications, CUTE 2012

作者： Nurhayati, Nurhayati Bayar, Gan Lee, KyoungOh #100 Galsanli Tangjeongmyun Asansi ChungNam Korea Republic of

ISBN: (纸本)9789400758568

Energy conservation of sensors in wireless network is very important since the battery of a sensor node cannot be replaced. In this paper, we propose an energy efficient base station assisted routing protocol in wireless sensor network, named EOUCR, which uses the base station to control the overhead of sensor nodes and create clusters of sensors. Main idea of BSAH is based on the concept of UCR, which groups the nodes into clusters of unequal sizes. Cluster heads closer to the base station have smaller cluster sizes than those farther from the base station, thus they can reserve some energy for the inter-cluster data forwarding. EOUCR combines the benefit of several clustering schemes to maximize the lifetime of sensor nodes and introduces several new features to enhance the performance of sensors. We compare the performance of BSAH with HEED, BCDCP and UCR and the simulation results show that EOUCR achieves a good improvement on network lifetime. © 2013 Springer Science+Business Media.

关键词： Routing protocols

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5th international Middleware conference, Middleware 2004

5th International Middleware Conference, Middleware 2004

引用

5th international Middleware conference, Middleware 2004

ISBN: (纸本)3540234284

The proceedings contain 26 papers. The special focus in this conference is on Peer-to-Peer Computing, Routing Protocols, Overlays, Middleware for Replication, Transactions and Middleware for Mobility. The topics include: A content model for evaluating peer-to-peer searching techniques;guiding queries to information sources with InfoBeacons;directed flood-routing framework for wireless sensor networks;on exploring performance optimizations in web service composition;scalable replication for transactional web applications;alternative edge-server architectures for enterprise JavaBeans applications;an ontology-based publish/subscribe system;subscription propagation in highly-available publish/subscribe middleware;composition of coordinated web services;adaptive resource sharing in a web services environment;interoperability among independently evolving web services;a middleware testbed for collaborative applications over small heterogeneous devices and data stores;dynamically programmable and reconfigurable middleware services;a game theoretic approach for power aware middleware;developing and managing software components in an ontology-based application server and portable and efficient distributed threads for java.

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Automatic and Fast Extraction of 3D Hand Measurements using a Deep Neural Network

Automatic and Fast Extraction of 3D Hand Measurements using ...

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IEEE international Instrumentation and Measurement Technology conference (I2MTC)

作者： Kaashki, Nastaran Nourbakhsh Dai, Xinxin Gyarmathy, Timea Hu, Pengpeng Iancu, Bogdan Munteanu, Adrian Vrije Univ Brussel Dept Elect & Informat Brussels Belgium Tech Univ Cluj Napoca Comp Sci Dept Cluj Napoca Romania

ISBN: (纸本)9781665483605

Recent advancements in 3D scanning technologies enable us to acquire the hand geometry represented as a three-dimensional point cloud. Providing accurate 3D hand scanning and accurately extracting its biometrics are of crucial importance for a number of applications in medical sciences, fashion industry, augmented and virtual reality (AR/VR). Traditional methods for hand measurement extraction require manual intervention using a measuring tape, which is time-consuming and highly dependent on the operator's expertise. In this paper, we propose, to the best of our knowledge, the first deep neural network for automatic hand measurement extraction from a single 3D scan (H-Net). The proposed network follows an encoder-decoder architecture design, taking a point cloud of the hand as input and outputting the reconstructed hand mesh as well as the corresponding measurement values. In order to train the proposed deep model, a novel synthetic dataset of hands in various shapes and poses and their corresponding measurements is proposed. Experimental results on both synthetic data and real scans captured by Occipital Mark I structure sensor demonstrate that the proposed method outperforms the state-of-the-art methods in terms of accuracy and speed.

关键词： hand measurement extraction template fitting deep learning point cloud 3D scanning structure sensor Mark I

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28nm 0.3V 1W2R Sub-Threshold FIFO Memory for Multi-sensor IoT applications 32

28nm 0.3V 1W2R Sub-Threshold FIFO Memory for Multi-Sensor Io...

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32nd IEEE international System-on-Chip conference (IEEE SOCC)

作者： Tseng, Huan-Jan Huang, Po-Tsang Wu, Shang-Lin Lung, Sheng-Chi Wang, Wei-Chang Hwang, Wei Chuang, Ching-Te Natl Chiao Tung Univ Dept Elect Engn Hsinchu Taiwan Natl Chiao Tung Univ Int Coll Semicond Technol Hsinchu Taiwan Faraday Technol Inc Hsinchu Taiwan

ISBN: (纸本)9781728134826

For energy-constrained multi-sensing IoT devices, ultra-low-power queueing is one of the critical event-driven design challenges to capture low-speed sensing data with various sampling frequencies. In this paper, 0.3V 1W2R sub-threshold FIFO memory is proposed for ultra-low-voltage operations using Schmitt-Trigger (ST) 12.5T SRAM bit-cell, ripple bitline structure and cross-point data-aware write wordline scheme. The ST 123T memory bit-cell not only increases hold static noise margin (HSNM) but also eliminates write half-select disturbance for robust sub-threshold operation. Secondly, an adaptive timing tracing circuitry and negative bit-line circuits are employed in the design for PVT variation-tolerant read operation and write ability enhancement. Thirdly, the proposed ripple bitline structure divides the bitline into several segments for ultra-low-voltage operations. Thus, the access time can be reduced apparently. Finally, a 4kb sub-threshold FIFO memory with the proposed multi-port ST 12.5T bit-cells is implemented by UMC 28nm IIKMG technology. The proposed FIFO memory can execute one write and two read operations simultaneously for multi-sensor IoT applications. The average power and maximum write frequency are 4.01 mu W and 780kHz at 0.3V, respectively.

关键词： FIFO memory Schmitt Trigger sub-threshold SRAM multi-port SRAM

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Real-Time Carbon Dioxide Monitoring Based on IoT & Cloud technologies 19

Real-Time Carbon Dioxide Monitoring Based on IoT & Cloud Tec...

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8th international conference on Software and Computer applications (ICSCA)

作者： Ming, Fan Xiu Habeeb, Riyaz Ahamed Ariyaluran Nasaruddin, Fariza Hanum Binti Md Bin Gani, Abdullah Int Univ Malaya Wales Fac Sci Technol Engn & Math Kuala Lumpur Malaysia Univ Malaya Fac Comp Sci Informat Technol Kuala Lumpur Malaysia

ISBN: (纸本)9781450365734

In recent years, environment monitoring are of greater importance towards the area of climate monitoring, analysis, agricultural productivity management, quality assurance of water, air, alongside with other potential factors that are closely connected to industrial development and convenience of living. This research is motivated by creating awareness of smart home residents on indoor air quality, as well as providing insight of carbon dioxide emissions for industries and environmental organizations. This paper proposes an efficient solution towards environment monitoring of carbon dioxide integrated with Internet of Things capability and cloud computing technology. Aforementioned techniques will deliver highly accessible and real-time data visualization which would be greatly beneficial for Smart Homes efficiency of analysis actualization and counter-measures deployment. A monitoring architecture was developed to generate, accumulate, store and visualize carbon dioxide concentration using MQ135 carbon dioxide sensor, ESP8266 Wi-Fi module, Firebase Cloud Storage Service and Android mobile application Carbon Insight for data visualization. 2880 data points in the time frame of 10 days with a 30-second interval was collected, stored and visualized with the application of this system.

关键词： Internet of things cloud environment monitoring

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FLEXIBLE POLYMER OPTICAL WAVEGUIDES FOR INTEGRATED OPTOGENETIC BRAIN IMPLANTS 36

FLEXIBLE POLYMER OPTICAL WAVEGUIDES FOR INTEGRATED OPTOGENET...

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36th IEEE international conference on Micro Electro Mechanical Systems (MEMS)

作者： Singer, Julian A. Stramm, Till Fasel, Jens Schween, Oliver Gelaeschus, Anton Bahr, Andreas Kuhl, Matthias Hamburg Univ Technol Inst Integrated Circuits Hamburg Germany TU Dortmund Univ Chair High Frequency Technol Dortmund Germany Univ Kiel Res Grp Sensor Syst Elect Kiel Germany Univ Freiburg Lab Microelect IMTEK Freiburg Germany

ISBN: (纸本)9781665493086

This paper presents a manufacturing process for flexible optical waveguides made of biocompatible polydimethylsiloxane (PDMS) to be attached to future optogenetic implants. Based on a complementary metal-oxide-semiconductor (CMOS) application-specific integrated circuit (ASIC), the system uses integrated single photon avalanche diodes (SPADs) as sensors for fluorescence imaging (FI) and post-CMOS micro light-emitting diodes (mu LEDs) for stimulation [1]. Attaching fibers to SPADs and mu LEDs to collect and distribute light from and to deeper brain layers can unfold previously unachieved medical applications. Two technologies for biocompatible waveguide manufacturing are presented: thin-film and molding. Such a combination of integrated bidirectional implantable ASICs with custom waveguide manufacturing is not limited to medical scenarios but opens up a broad field of applications.

关键词： MEMS optogenetics waveguide polymer brain implants neural implants integrated circuits ASIC biomedical SPAD mu LED thin-film molding

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Alleviation of safety measures in underground coal mines using wireless sensor network: A survey 1st

Alleviation of safety measures in underground coal mines usi...

引用

1st international conference on Machine Learning and Information Processing, ICMLIP 2019

作者： Rout, Raghunath Pramanik, Jitendra Das, Sameer Kumar Samal, Abhaya Kumar Department of CSE DRIEMS Autonomous Engineering College Cuttack India Centurion University of Technology and Management BhubaneswarOdisha India Department of CSE Arihant Junior College Ganjam India Department of CSE Trident Academy of Technology Bhubaneswar India

ISBN: (纸本)9789811518836

Mining is one of the oldest endeavors regarded of mankind along with agriculture. To ensure personal safety of miners and maximizing the mining process improvements in safety measures is a must. Also wireless sensor networks play a vital role for monitoring the mining environment. This paper describes a survey of the improvements in safety measures in underground coal mines using the wireless sensor network finding the unexplored areas which needs improvement. To ensure quick rescue of miner’s, ground station plays a vital role. In view of all the safety measures taken together with the development of technology it is feasible to apply some of the technologies with modifications. This paper surveys the need for extended research in wireless sensor network and applications to monitor the UG mine environment effectively. © Springer Nature Singapore Pte Ltd 2020.

关键词： sensor nodes

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Based on Static And Dynamic:Fuzzy Logic-Based Clustering Optimization for Wireless sensor Networks

Based on Static And Dynamic:Fuzzy Logic-Based Clustering Opt...

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2024 international conference on Advances in Modern Age technologies for Health and Engineering Science, AMATHE 2024

作者： Ali, Adnan Hussein Kareem, Marwa Mahdi Sabbar, Bayan Mahdi Monir, Hind Q. Mohammad Ibrahim, Raed Khalid Mnati, Mohannad Jabbar Institute Of Technology Middle Technical University Electrical Techniques Department Baghdad Iraq Middle Technical University Technical Management Institute Baghdad Iraq College Of Engineering And Engineering Technologies AlMustaqbal University Iraq Al-Farahidi University Department Of Medical Instruments Engineering Techniques Baghdad Iraq

ISBN: (纸本)9798350371567

Fuzzy C-Means (FCM) clustering, a widely employed and sophisticated data analysis method, offers a robust structure for handling intricate and uncertain data patterns. Its versatility extends to numerous domains, such as data mining, pattern recognition, and image segmentation. Unlike conventional hard clustering approaches, FCM is particularly suitable for scenarios involving ambiguous and overlapping data by assigning data points to distinct clusters with varying degrees of membership. This synopsis provides a summary of FCM, with particular emphasis on its core concepts, iterative optimization process, and capability to handle complex data patterns. It also describes the practical benefits and applications of FCM, emphasizing how it can be utilized to generate flexible and nuanced cluster assignments. Despite the presence of ambiguity and insufficient memberships, FCM continues to be a valuable tool for practitioners and researchers seeking efficient methods to cluster data. © 2024 IEEE.

关键词： Pattern recognition

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