This book constitutes the refereed proceedings of the 5th internationalconference on Dependability in sensor, Cloud, and Big Data Systems and applications, DependSys, held in Guangzhou, China, in November 2019.;...
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ISBN:
(数字)9789811513046
ISBN:
(纸本)9789811513039
This book constitutes the refereed proceedings of the 5th internationalconference 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.
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 be...
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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 wirel...
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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 inclu...
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.
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 o...
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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.
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...
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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.
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...
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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.
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-semicon...
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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.
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 n...
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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...
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