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

共 30781 条记录，以下是961-970 订阅

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Custom Accessors: Enabling Scalable Data Ingestion, (Re-)Organization, and Analysis on distributed systems

Custom Accessors: Enabling Scalable Data Ingestion, (Re-)Org...

引用

2024 ieee international conference on Big Data, BigData 2024

作者： Castellana, Vito Giovanni Mutlu, Burcu O. Dio Lavore, Ian Di Firoz, Jesun Wolf, Katherine Minutoli, Marco Feo, John Pacific Northwest National Laboratory RichlandWA United States Politecnico di Milano Milano Italy

ISBN: (纸本)9798350362480

The emerging class of high velocity and high volume data analytic workflows comprise interwoven data ingestion, organization, and processing stages, with ingestion and organization steps often contributing comparable or even higher computational costs than actual processing steps. Since complex workflows consist of a variety of phases that view and use data differently, being able to construct efficient, scalable, distributed data structures (arrays, vectors, sets, maps, and multi-maps) is essential and requires custom methods to extend and shrink containers, analyze and position data, and, maintain globally-consistent meta-data. In this paper, we propose a novel data-structure access paradigm based on the concept of Accessors. At a high level, accessors are customizable callable objects that can modify the behavior of insert, read, update, and delete operations for distributed containers while preserving atomicity guarantees. Accessors provide a very clean and natural way to implement a variety of programming patterns, e.g., conditional insertion/deletion and cascading computations, which would be otherwise hard (or even impossible) to express in parallel and distributed settings without using locks. We demonstrate the practicality and usefulness of our approach with two representative use cases and study the performance of these applications on a distributed High-Performance computing system. Our analysis highlights that our proposed abstraction allows for an effective overlapping and concurrent execution of different workflow steps (e.g., data ingestion and analysis), which in a conventional analytics pipeline would execute sequentially, contributing cumulatively to the overall latency. © 2024 ieee.

关键词： C++ (programming language)

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E-KYC Based on Blockchain Technology 2

E-KYC Based on Blockchain Technology

引用

2nd ieee international conference on Data Science and Network Security, ICDSNS 2024

作者： Kavitha, H. Darshan, Y.R. Joshi, Subramanya Nandeesh, S.V. Hegde, Swastik Siddaganga Institute of Technology Department of Information Science and Engineering Karnataka Tumakuru India

ISBN: (纸本)9798350373110

As cloud computing becomes increasingly prevalent, the security and privacy of e-KYC (Electronic Know Your Customer) documents stored in the cloud have become critical concerns. Traditional e-KYC systems rely on centralized databases and cloud storage, posing risks of cyber-attacks and data breaches. This project proposes a blockchain-based e-KYC system for digital identity verification, offering a secure, efficient, and reliable solution. Our system ensures data integrity through a distributed ledger, with encryption adding an extra layer of protection against unauthorized access and cyber threats. Incorporating a fingerprint mechanism and batch verification enhances security and efficiency. The decentralized nature of blockchain reduces reliance on central authorities, streamlining the verification process and minimizing operational costs. Leveraging blockchain's core attributes-decentralization, immutability, and transparency-this e-KYC framework provides a robust solution tailored for banking, telecommunications, and government services, ensuring a secure, efficient, and reliable identity verification process. © 2024 ieee.

关键词： distributed ledger

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Leveraging Ultra-Law-Power Wearables Using distributed Neural Networks 20

Leveraging Ultra-Law-Power Wearables Using Distributed Neura...

引用

20th ieee international conference on Body sensor Networks, BSN 2024

作者： Chowdhury, Meghna Roy Ghosh, Archisman Bari, Md Faizul Sen, Shreyas

ISBN: (纸本)9798331530143

Traditional deep learning models incur high computational overhead (approximately 1-30W) and are unsuitable for Ultra-Low-Power (ULP) wearable systems like smart glasses. In contrast, TinyML architectures are power-efficient but less accurate. We propose distributing a neural network (NN) between a ULP wearable node and a resource-rich hub to maintain high accuracy and low power consumption for applications like human-machine vision. Output features from the node are transmitted to the hub via low-power communication, where the remaining network runs on traditional GPUs. We introduce a Figure of Merit (FoM) to determine the optimal NN distribution point and a customized multiplier unit for ULP operation. Achieving ULP of 284μW and 9mW for different Autoencoder (AE) networks, our approach is 700× lower in power consumption compared to traditional GPU implementation. © 2024 ieee.

关键词： Autoencoder GPU Neural Network power-efficient MAC tinyML ultra-low power wearables

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CACam: Consecutive Angular Measurements with Camera on Smartphone for Distance Estimation 28

CACam: Consecutive Angular Measurements with Camera on Smart...

引用

ieee 28th international conference on Parallel and distributed systems (ieee ICPADS)

作者： Zhu, Yifan Zhu, Xiaojun Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing Peoples R China Nanjing Univ State Key Lab Novel Software Technol Nanjing Peoples R China

ISBN: (纸本)9781665473156

To estimate the distance between a user and the target object for personal interest or for subsequent actions, the commonly used method is to search the target in the map application. However this is limited by GPS signal status under different environments and incomplete information on the map application of smartphones. This paper introduces a ranging method, CACam, which utilizes consecutive angle measurement based on camera of smartphone. Geometric model and ranging process are proposed to calculate the distance. When the user aligns the target from different position points, we record readings from the gyroscope sensor during every rotation in the procedure. The camera is used for aligning the target to build geometric model. Vector mapping of angular readings and data processing of intermediate points are used to get more accurate angles, which is suitable for the situation that the smartphone could not be strictly rotated in perpendicular to the plane of the gravity. The effectiveness of our ranging method is verified through experiments in outdoor environments.

关键词： ranging camera sensor outdoor

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Prototyping of Low-Cost Configurable Sparse Neural Processing Unit with Buffer and Mixed-Precision Reshapeable MAC Array 28

Prototyping of Low-Cost Configurable Sparse Neural Processin...

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ieee 28th international conference on Parallel and distributed systems (ieee ICPADS)

作者： Wu, Binyi Furtner, Wolfgang Waschneck, Bernd Mayr, Christian Tech Univ Dresden Fac Elect & Comp Engn Dresden Germany Infineon Technol Div Power & Sensor Syst Munich Germany Tech Univ Dresden Ctr Tactile Internet Human In The Loop CeTI Dresden Germany

ISBN: (纸本)9781665473156

More recently, it has become possible to run deep learning algorithms on edge devices such as microcontrollers due to continuous improvements in neural network optimization algorithms such as quantization and neural architecture search. Nonetheless, most of the embedded hardware available today still falls short of the requirements of running deep neural networks. As a result, specialized processors have emerged to improve the inference efficiency of deep learning algorithms. However, most are not for edge applications that require efficient and low-cost hardware. Therefore, we design and prototype a low-cost configurable sparse Neural Processing Unit (NPU). The NPU has a built-in buffer and a reshapable mixed-precision multiply-accumulator (MAC) array. The computing and memory resources of the NPU are parameterized, and different NPUs can be derived. Besides, users can also configure the NPU at runtime to fully utilize the resources. In our experiments, the 200MHz NPU with only 32 MACs is more than 32 times faster than the 400MHz STM32H7 when inferring MobileNet-V1. Besides, the yielded NPUs can achieve roofline or even beyond roofline performance. The buffer and reshapeable MAC array push the NPU's attainable performance to the roofline, while the feature of supporting sparsity allows the NPU to obtain performance beyond the roofline.

关键词： low-cost configurable neural processing unit mixed-precision sparsity

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FedCLAR: Federated Clustering for Personalized sensor-Based Human Activity Recognition 20

FedCLAR: Federated Clustering for Personalized Sensor-Based ...

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20th ieee international conference on Pervasive computing and Communications (ieee PerCom)

作者： Presotto, Riccardo Civitarese, Gabriele Bettini, Claudio Univ Milan Dept Comp Sci Milan Italy

ISBN: (纸本)9781665416436

sensor-based Human Activity Recognition (HAR) has been a hot topic in pervasive computing for several years mainly due to its applications in healthcare and well-being. Centralized supervised approaches reach very high recognition rates, but they incur privacy and scalability issues. Federated Learning (FL) has been recently proposed to mitigate these issues. Each subject only shares the weights of a personal model trained locally, instead of sharing data. A cloud server is in charge of aggregating the weights to generate a global model. However, since activity data is non-independently and identically distributed (non-IID), a single model may not be sufficiently accurate for a large number of diverse users. In this work, we propose FedCLAR, a novel federated clustering method for HAR. Based on the similarity of the local model updates, the cloud server in FedCLAR derives groups of users that exhibit similar ways of performing activities. For each group, FedCLAR uses a specialized global model to mitigate the non-IID problem. We evaluated FedCLAR on two well-known public datasets, showing that it outperforms state-of-the-art FL solutions.

关键词： human activity recognition federated learning clustering

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Accelerating 6TiSCH Network Formation 17

Accelerating 6TiSCH Network Formation

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17th Annual ieee international conference on distributed computing in sensor systems (ieee DCOSS)

作者： Tanaka, Yasuyuki Minet, Pascale Watteyne, Thomas Teraoka, Fumio Toshiba Co Ltd Corp R&D Ctr Kawasaki Kanagawa Japan INRIA EVA Team Paris France Keio Univ Fac Sci & Technol Yokohama Kanagawa Japan

ISBN: (纸本)9781665439299

Wireless sensor networking is a key enabler of Industrial IoT. IETF (Internet Engineering Task Force) has standardized a protocol suite called 6TiSCH (IPv6 over the TSCH mode of ieee802.15.4e). 6TiSCH builds an IPv6 multi-hop wireless network with the ieee802.15.4 radio, which achieves low energy consumption and high reliability. Although network formation time is one of key performance indicators of wireless sensor networks, it has not been studied well with 6TiSCH standard protocols such as MSF (6TiSCH Minimal Scheduling Function) and CoJP (Constrained Join Protocol). In this paper, we propose a scheduling function called SF-Fastboot which shortens network formation time of 6TiSCH. We evaluate SF-Fastboot by simulation comparing with MSF, the state-of-the-art scheduling function. The simulation shows SF-Fastboot reduces network formation time by 41 % - 80 %.

关键词： 6TiSCH TSCH ieee802.15.4 Network formation Scheduling Lifetime

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Island Energy Autonomy: A Techno-Economic Assessment of a Virtual Power Plant in Bangladesh

Island Energy Autonomy: A Techno-Economic Assessment of a Vi...

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2024 international conference on Advances in computing, Communication, Electrical, and Smart systems, iCACCESS 2024

作者： Chowdhury, Prangon Yeassin, Rahbaar Tasmia, Israt Jahan Fuad, Abu M. Hasan, Mahmudul Chowdhury, Nahid-Ur-Rahman Ahsanullah University of Science and Technology Department of Electrical and Electronic Engineering Dhaka Bangladesh University of Scholars Department of Electrical and Electronic Engineering Dhaka Bangladesh Northern University Bangladesh Department of Electrical and Electronic Engineering Dhaka Bangladesh

ISBN: (纸本)9798350350289

Owing to population growth and industrialization, the need for electricity is at its apex, which creates stress on the grid due to the continuous consumption of power. To produce energy, natural resources are utilized ceaselessly, depleting the re-serve for the future. The consistent use of conventional resources is causing global warming along with several natural issues. Therefore, shifting to distributed energy resources (DERs) is a convenient solution. Although many of the developed countries have already implemented virtual power plants (VPP) and are pondering over their improvements, Bangladesh is lacking in this area. Therefore, this paper delves into existing energy scenarios and renewable energy (RE) prospects to design a VPP combining solar and wind for Hatiya Island in Bangladesh, to provide a continuous power supply to the whole region and remove the stress on the grid. The infrastructure of the whole system is developed in MATLAB/SIMULINK, and the techno-economic analysis is also carried out. The simulation outcomes illustrate that the Net Present Cost is 39550818 USD and the Levelized Cost of Energy is 0.03 USDlkWh. © 2024 ieee.

关键词： distributed power generation

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Emergent Cooperative Behavior in distributed Target Tracking with Unknown Occlusions

Emergent Cooperative Behavior in Distributed Target Tracking...

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ieee/RSJ international conference on Intelligent Robots and systems (IROS)

作者： Li, Tianqi Krakow, Lucas W. Gopalswamy, Swaminathan Texas A&M Univ Dept Mech Engn College Stn TX 77840 USA Texas A&M Univ Bush Combat Dev Complex Bryan TX 77807 USA

ISBN: (纸本)9781665491907

Tracking multiple moving objects of interest (OOI) with multiple robot systems (MRS) has been addressed by active sensing that maintains a shared belief of OOIs and plans the motion of robots to maximize the information quality. Mobility of robots enables the behavior of pursuing better visibility, which is constrained by sensor field of view (FoV) and occlusion objects. We first extend prior work to detect, maintain and share occlusion information explicitly, allowing us to generate occlusion-aware planning even if `a priori semantic occlusion information is unavailable. The efficacy of active sensing approaches is often evaluated according to estimation error and information gain metrics. However, these metrics do not directly explain the level of cooperative behavior engendered by the active sensing algorithms. Next, we extract different emergent cooperative behaviors that stem from the same underlying algorithms but manifest differently under differing scenarios. In particular, we highlight and demonstrate three emergent behavior patterns in active sensing MRS: (i) Change of tracking responsibility between agents when tracking trajectories with divergent directions or due to a re-allocation of the resource among heterogeneous agents;(ii) Awareness of occlusions to a trajectory and temporal leave-and-return of the sensing agent;(iii) Sharing of local occlusion objects in MRS that subsequently improves the awareness of occlusion.

关键词： Active Sensing Visibility Occlusion-Aware Cooperative Emergent Behavior Dynamic Occlusion Map

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HAICO: A Monitoring and Transaction Chatbot for distributed Analytics Workflows

HAICO: A Monitoring and Transaction Chatbot for Distributed ...

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2023 ieee international conference on Web Services, ICWS 2023

作者： Neumann, Alexander Welten, Sascha Kunz, Julia Klamma, Ralf Decker, Stefan Rwth Aachen University Computer Science 5 Aachen Germany

ISBN: (纸本)9798350304855

The fast-growing complexity of decentralized infrastructures outpaces end-users from acquiring the required knowledge to operate them. A possible remedy for this ever-aggravating problem might be the integration of natural-language-driven interfaces that allow end-users to interact with those systems. This work focuses on a distributed Analytics (DA) use case, which includes the challenge above. We propose a DA-tailored and module-based monitoring and transaction bot called HAICO, which assists users in keeping track of their activities. Our user study (n=50) shows that our approach indeed contributes to increased transparency and accessibility of digital assets in these ecosystems. The results show that integrating automated agents can lower the barriers for non-technology-versed users to foster efficiency and adoption time. © 2023 ieee.

关键词： chatbot distributed analytics metadata monitoring transaction

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