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

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Balancing Security and Privacy with Data Usefulness and Efficiency in Wireless sensor Networks 2

Balancing Security and Privacy with Data Usefulness and Effi...

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2nd international conference on Advanced computing and Communication Technologies, ICACCTech 2024

作者： Yadav, Er. Narinder Sharma, Aditya Bharti, Kushagra Jaiswal, Krish Jhalani, Ayush Kumar, Santosh Chandigarh University Punjab Mohali India Computer Science & Engineering Chandigarh University Punjab Mohali India

ISBN: (纸本)9798331519056

Wireless Body Area Networks (WBANs) are a subcategory of WSNs that have been developed to support health care solutions such as blood pressure, heart rate, and endoscopic capsules. Such technologies have their benefits;however, they also present significant security and privacy concerns, which are a major concern when dealing with patients' data. The abuse of such information, irrespective of the fact that it has been collected with/without the consent of the individual, may discourage people from using these systems for fear of being followed or monitored by commercial or public organizations. These problems are compounded in WSNs that typically consist of a large number of resource-limited, low-cost sensor nodes. Due to the constraints on sensing, computing, and communication, it is necessary to minimize data exchange, and this can be done through data aggregation, for instance. Unfortunately, since WSNs are often deployed in remote and often dangerous environments where the data is vulnerable to tampering and eavesdropping, secure aggregation of data is essential. These problems are solved by protocols such as EESAP (Energy Efficient Secure Aggregation Protocol) and LEACH (Low-Energy Adaptive Clustering Hierarchy) that enhance security while enhancing the utilization of resources. This paper proposes a review of security and data aggregation in WSNs, and a classification of safe aggregation algorithms along with the identification of directions for future research to address the challenges of this important field. © 2024 ieee.

关键词： Differential privacy

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Determine the Number of distributed Big Data Storage Replicas 26

Determine the Number of Distributed Big Data Storage Replica...

引用

26th international conference on Soft computing and Measurements, SCM 2023

作者： Tatarnikova, Tatyana M. Arkhiptsev, Evgeny D. Saint Petersburg Electrotechnical University LETI Department of Information Systems St. Petersburg Russia

ISBN: (纸本)9798350322484

The problem of distributed storage of big data on clusters is discussed. Known methods of distributed storage are considered: fragmentation and replication. Replication schemes are considered that allow accelerating access to data: peer-to-peer and master-slave. It is shown that replication leads to data inconsistency, which in practice is a compromise formulated in the CAP theorem: out of three properties-data consistency and availability, their partition resistance -no more than two properties can be provided. A model for determining the required number of nodes in a cluster and the number of replicas based on the queuing theory is proposed. In terms of solving the fragmentation problem, a recurrent procedure and a method for choosing the optimal cluster structure are proposed. As part of solving the replication problem, a model for choosing the number of replicas in the event of a 'write-write' conflict in the 'master-slave' scheme is proposed. © 2023 ieee.

关键词： Big data

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Experimental and Theoretical Analysis of Deep Residual Time-Delay Reservoir computing Based on Clipping Algorithm 22

Experimental and Theoretical Analysis of Deep Residual Time-...

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22nd international conference on Optical Communications and Networks, ICOCN 2024

作者： Zhou, Changdi Li, Nianqiang School of Optoelectronic Science and Engineering Collaborative Innovation Center of Suzhou Nano Science and Technology Soochow University Suzhou215006 China Soochow University Key Lab of Advanced Optical Manufacturing Technologies of Jiangsu Province Key Lab of Modern Optical Technologies of Education Ministry of China Suzhou215006 China

ISBN: (纸本)9798350367652

Photonic reservoir computing (RC), as a crucial variant of recurrent neural networks, has boasted substantial potential owing to its straightforward training processes and facile hardware integration. In this work, we introduce and validate both experimentally and numerically a novel post-processing technique, referred to as the clipping algorithm (CA), utilized on the high-performance deep residual time-delay RC (DR-TDRC). The proof-of-concept model, i.e., a four-layer DR-TDRC, comprises 960 interrelated neurons (240 neurons per layer) based on four injection-locked distributed feedback lasers. Our results demonstrate that the implementation of the CA can effectively mitigate issues associated with the redundant layers and improve the performance of deep architectures. © 2024 ieee.

关键词： distributed feedback lasers

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Intelligent Sampling: A Novel Approach to Optimize Workload Scheduling in Large-Scale Heterogeneous computing Continuum 17

Intelligent Sampling: A Novel Approach to Optimize Workload ...

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17th ieee international Congress on Intelligent and Service-Oriented systems Engineering (CISOSE)

作者： Pujol, Victor Casamayor Morichetta, Andrea Nastic, Stefan TU Wien Distributed Syst Grp Vienna Austria

ISBN: (纸本)9798350322392

Scheduling workloads on large-scale infrastructures, such as in the Edge-Cloud continuum is a challenging task. Usually, the scheduling algorithm considers only a limited sample of the infrastructure nodes, typically obtained through random sampling. The sampling reduces the number of nodes, which need to be evaluated in the scheduling pipeline, making the scheduling process more saleable. Unfortunately, current sampling approaches become largely inefficient when the infrastructure is heterogeneous and specific, scarce node characteristics are required to successfully execute a workload. computing continuum infrastructures are heterogeneous, hence, we need to re-think the sampling process to keep it viable at scale while also being able to identify and leverage the heterogeneity of the Edge-Cloud continuum resources. In this article, we present Intelligent Sampling - a novel technique for improving sampling in large-scale and heterogeneous infrastructures. We develop a model for any heterogeneous infrastructure. Based on this model, we provide a method to sample the infrastructure nodes more accurately, considering the specific task at hand. Finally, we leverage the Alibaba PAI dataset to show that our approach is 2.5x times more accurate compared with other state-of-the-art sampling mechanisms while retaining comparable performance and scalability.

关键词： computing continuum Intelligent sampling Workloads scheduling Heterogeneous infrastructure model

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IOT and Artificial Intelligence based Smart Agriculture System Using Node MCU 2

IOT and Artificial Intelligence based Smart Agriculture Syst...

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2nd ieee international conference on Trends in Quantum computing and Emerging Business Technologies, TQCEBT 2024

作者： Dhandapani, Padmapriya Kg College of Arts and Science Department of Computer Technology Saravanampatti Coimbatore641 035 India

ISBN: (纸本)9798350384277

Rural action on the cultivate requires exertion for occurrence, planting, keeping up, and collecting crops requires assets such as cash, time, vitality, and work. An counterfeit insights group created a framework that can distinguish plant infections. This analysts utilized a strategy called exchange learning to instruct the AI to recognize edit illnesses and creepy crawly *** has been affected by innovation in numerous ways, which has changed cultivating hones over time. A second obstacle to arrival will be the approximately 4% additional land under construction on the world by 2055, when the population is predicted to rise from 8.0 billion to 9.9 billion. Farming is the essential industry that makes occupations in a expansive number of countries around the world. Agriculturists will in this manner require to utilize less assets with more prominent exertion. In arrange to bolster an additional two billion individuals, nourishment yield would require to rise by 60%, concurring to the same appraise. [1]In today's world, Farming needs to keep up with innovative headway's as well. IoT is fundamental to cleverly cultivating. Web of Things (IoT) sensors grant the vital information approximately cultivate lands. The capacity to screen horticulture utilizing remote sensor systems and collect information from a few sensors that are scattered over diverse regions and transmitted through remote convention is the fundamental advantage of the Web of Things. The IoT stage that supports keen farming is called NodeMCU. In addition to the temperature, wetness, and mugginess sensors, it contains a DC engine. The degree of stickiness and moisture is started to be graded by this framework. © 2024 ieee.

关键词： sensor nodes

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Mathematical Demonstration of Node Placement using Wireless sensor Networks for Smart Cities 16

Mathematical Demonstration of Node Placement using Wireless ...

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16th ieee Malaysia international conference on Communication, MICC 2023

作者： Kadhum, Mohammad M. School of Advanced Technology Algonquin College Information and Communications Technology Security Systems & Networking Ontario Canada

ISBN: (纸本)9798350304343

Wireless sensor Network (WSN) has been used for monitoring Indoor events where distributed sensing nodes gather data and send report about conditions of the monitoring area for analysis and decision-making. The monitoring of environmental phenomena has a significant economic effect in saving human and materials resources. When sensing nodes are deployed efficiently, it would guarantee the network's connectivity and stability. In this paper, we present a mathematical modelling for indoor node deployment. It determines the number of sensing nodes needed to ensure the network's coverage and connectivity. The solution comes out of this modelling helps in reducing the number of nodes required to cover the indoor monitoring area, in contrast with the traditional sensing node deployment;thus, reducing the cost and maintenance of the indoor wireless sensor networks. © 2023 ieee.

关键词： Smart city

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IoT based Smart Assistance for Visually Impaired using Raspberry Pi 2

IoT based Smart Assistance for Visually Impaired using Raspb...

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2nd international conference on Automation, computing and Renewable systems, ICACRS 2023

作者： Rambabu, Kalathiripi Dubey, Sanjay Arjun, Dindigala Sathwik, Jennarapu Swastik, Kodi Department of Electronics and Communication Engineering B V Raju Institute of Technology Narsapur Medak502313 India

ISBN: (纸本)9798350340235

With the help of a revolutionary smart eyeglass prototype introduced in this system, visually impaired people will receive crucial support in identifying people and spotting obstacles in their environment. The prototype makes use of cutting-edge technology, such as face recognition and distance detection characteristics, to provide a thorough and simple user interaction. The Raspberry Pi 4 B serves as the prototype's primary processing unit, and it is supplemented by a Raspberry Pi 4 camera, an ultrasonic sensor for measuring distance, a 5V power supply, and a special set of glasses. These elements work together to create a seamless system that gives those who are blind or visually impaired better perception and navigational skills. Smart eyewear uses cutting-edge technology to identify individuals using face recognition features precisely. © 2023 ieee.

关键词： Pi Camera Raspberry Pi Ultrasonic sensor

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Adaptive Control and Optimization Techniques for Microgrid Energy Management 4

Adaptive Control and Optimization Techniques for Microgrid E...

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4th international conference on Advances in Electrical, computing, Communication and Sustainable Technologies, ICAECT 2024

作者： Sahu, Vishnu Kumar Singh, Mahesh Tiwari, Shruti Ralhan, Shimpy Shri Shankaracharya Technical Campus Department of Ee Chhattisgarh Bhilai India Shri Shankaracharya Technical Campus Department of Eee Chhattisgarh Bhilai India

ISBN: (纸本)9798350343670

In the era marked by rapid advancements in "green energy"and storage technologies, microgrids integrated with distributed generation principles emerge as a promising avenue for efficient power management. DC microgrids have attracted significant interest among researchers and engineers owing to the escalating adoption of renewable energy sources coupled with energy storage systems, improved utilization of DC power electronics devices, and the additional benefits of mitigating harmonics and synchronization challenges. A crucial aspect necessitates the establishment of an efficient, optimized, and dependable control system for the integrated infrastructure. This article introduces a versatile and adaptable control system for microgrid resources, aimed at fulfilling the local households' electricity demand while addressing economic considerations. The proposed approach adopts a decentralized control structure, deploying controllers in each household, leveraging open-source optimizers and cost-effective hardware. To mitigate the likelihood of failure, the authors developed a redundant solution, incorporating redundant communication channels and hot standby control devices. A comprehensive validation process was conducted via simulations on a sample microgrid encompassing diverse methods of generation and storage, ensuring robustness and reliability. © 2024 ieee.

关键词： DC microgrids distributed energy generation Green energy microgrids

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Implementation of a Smart Canteen System for a University Campus 23

Implementation of a Smart Canteen System for a University Ca...

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23rd ieee international conference on High Performance computing and Communications, 7th ieee international conference on Data Science and systems, 19th ieee international conference on Smart City and 7th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Ramiah, Jaya Laxmi Nagowah, Soulakshmee Devi University of Mauritius Software and Information Systems Department Reduit Mauritius

ISBN: (纸本)9781665494571

The emergence of the Internet of Things (IoT) in various fields has replaced the traditional methods. It has led to increased efficiency and effectiveness making tasks less cumbersome and our life much easier. Traditional canteen systems usually consist of manual tasks, involving paperwork and the need for human intervention. With the hectic lifestyle nowadays, people do not have much time to spend waiting in long queues. This paper thus presents a smart canteen system for a university campus using IoT. Usage of IoT in a smart canteen system enhances several processes. The system consists of a wireless menu ordering system using a Thin Film Transistor (TFT) screen, which can be installed at the canteen counter and which enables users to view and place their order. Radio Frequency Identification (RFID) technology is also used in the smart canteen system to provide improved access control and attendance management. Furthermore, the paper illustrates how various sensors installed in the canteen can help to detect food spoilage and gas leakage. The system also provides early warnings and alerts as a measure of providing increased safety and minimizing food wastage. A system prototype is presented in the paper. © 2021 ieee.

关键词： Wireless communication Wireless sensor networks Smart cities sensor systems Thin film transistors Safety Internet of Things

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Energy-efficient OECT sensor Data Analysis on Constrained Edge Devices 11

Energy-efficient OECT Sensor Data Analysis on Constrained Ed...

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11th ieee international conference on Cloud Engineering (IC2E)

作者： Saccani, Francesco Bettelli, Manuele Gentile, Francesco Amoretti, Michele Univ Parma Dept Engn & Architecture Parma Italy Inst Mat Elect & Magnetism IMEM CNR Parma Italy Magna Graecia Univ Catanzaro Dept Expt & Clin Med Catanzaro Italy

ISBN: (纸本)9798350343946

A new frontier in Smart Agriculture is merging nanobiotechnology with edge computing, for on-field raw data collection and processing. Smart plant sensors communicate plant chemical signals to on-field agricultural and phenotyping equipment. Particularly promising are the Organic Electrochemical Transistors (OECTs), i.e., devices that can measure the ionic content of liquid samples and biological systems. In this work, we present and evaluate several algorithms for solving a mathematical model that describes the behavior of OECT devices, in order to translate raw values like electrical currents, to meaningful information about the monitored plant stem, e.g., the concentration of ions and water saturation. Our Rust-based algorithm implementations are energy-efficient and suitable for real-time execution on constrained edge devices, as we demonstrate providing several experimental results that concern the quality of model solution, memory footprint, execution time, and the energy cost. The experiments were carried out using two different Arm Cortex-M processors, an ultra low power one and a high performance one.

关键词： Edge computing Energy Efficiency OECT Devices Neural Networks

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