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检索条件"任意字段=3rd IEEE International Conference on Distributed Computing in Sensor Systems"

共 5118 条记录，以下是81-90 订阅

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Developing a Hybrid Machine Learning System for Parkinson's Disease Detection Using a Combination of Freezing of Gait Video and Inertial sensor Data 3

Developing a Hybrid Machine Learning System for Parkinson's ...

引用

3rd international conference on computing and Machine Intelligence (ICMI)

作者： Zhou, Caroline Harker Sch San Jose CA 95129 USA

ISBN: (纸本)9798350372977;9798350372984

Detection of Parkinson's disease remains challenging due to the complexity and cost of diagnosis. Recently, different machine learning models have been proposed to detect Parkinson's. This paper proposes a novel hybrid machine learning detection system to detect Parkinson's disease using a combination of both videos of freezing of gait and numerical sensor data. Three machine learning models (sensor model, video model, and a hybrid model using a combination of the data) have been developed and evaluated. Four machine learning algorithms were used for model development, which were Logistic Regression, K-neighbors, Bayesian Regression, and Random Forest. All the models were evaluated using standard performance metrics of accuracy and precision based on the prediction of 12 commonly used Parkinson's rating scales (Mini-Mental, NFo-GQ, H&Y, UPDRS-II, UPDRS-III, PIGD, Dyskinesia, HADS, HADS-A, HADS-D, FES-I, mini-BESTest). This is the first time to use all 12 rating scales as output of a machine learning model for Parkinson's disease detection. The results indicate that the hybrid model has a significantly better performance than the video or sensor models. The hybrid model achieved an average accuracy of approximately 94% for all twelve rating scales, while the sensor model had an accuracy of approximately 91% and the video model had an accuracy of approximately 89%. This research indicates that the hybrid model is accurate and reliable because of its ability to fully use two sets of clinical data to make a final decision.

关键词： Parkinson's disease machine learning model hybrid turning-in-place inertial sensor freezing of gait

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The Wireless sensor Networks with Overlapping Multihop Clustering 3

The Wireless Sensor Networks with Overlapping Multihop Clust...

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3rd international conference on Smart Generation computing, Communication and Networking, SMART GENCON 2023

作者： Faiz, Ayaan Centre for Interdisciplinary Research in Business and Technology Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798350319125

Clustering is often utilised in wireless sensor networks to offer efficient and scalable operation. Typically, the goal of a clustering method is to produce a set of distinct groups that all meet a certain set of requirements. In this study, we introduce a new clustering problem with the goal of producing multi-hop clusters that overlap with one another. Inter-cluster routing, node location, and time synchronisation protocols are just a few examples of where overlapping clusters become valuable in sensor networks. We also present a multi-hop clustering method (MHC) that uses randomization and distributed computing to address the overlapping clustering issue. The goal of MHC is to produce linked overlapping clusters that, on average, overlap the whole sensor network. We analyse and simulate many scenarios to demonstrate how to optimise the clustering process's parameters. In addition, the findings demonstrate that MHC generates clusters of about similar sizes, which facilitates load distribution among clusters. In addition, despite the scope of the network, MHC's clustering creation ceases after a certain length of time. © 2023 ieee.

关键词： Clustering multi-hop clustering overlapping sensor networks

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A Hybrid Optimization Strategy for k-Coverage Maximization in Wireless sensor and IoT Networks 3

A Hybrid Optimization Strategy for k-Coverage Maximization i...

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3rd international conference on Intelligent systems, Advanced computing, and Communication, ISACC 2025

作者： Manna, Prithwish Majumder, Sudipta Singh, N. Hemarjit Dibrugarh University Dept. of CSE DUIET Assam Dibrugarh India Dibrugarh University Dept. of ECE DUIET Assam Dibrugarh India

ISBN: (纸本)9798331523893

In this paper, we propose a combination of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) to create a hybrid optimization technique which meets k-coverage criteria in Wireless sensor Network (WSN) and Internet of Things (IoT). The goal of this approach is to increase the coverage area alongside minimizing the deployment cost of the sensors. Another aim is to reduce the power consumption. This technique is helpful to determine the optimal position of the sensors. It helps to ensure that each target point in the network is getting the coverage of at least k sensors. In this way we can enhance the reliability and robustness of the network. From experimental results, we can conclude that with optimal sensor utilization and minimized redundancy, our proposed approach achieves 97.14% coverage ratio with k-coverage equals 3. According to performance metrics, it is clear that there is consistent energy efficiency through the cycles. The approach converges in less than 3 second. So, this approach is applicable for real time applications. It is a hybrid metaheuristic approach which is very efficient in managing various challenges associated with sensor deployment. From this approach we can get solutions of coverage enhancement, energy efficiency and improved sensor utilization. © 2025 ieee.

关键词： Particle swarm optimization (PSO)

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Design of analog pressure transmitter (4-20 mA) for fast reactors 3

Design of analog pressure transmitter (4-20 mA) for fast rea...

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3rd international conference on Advances in Electrical, computing, Communication and Sustainable Technologies, ICAECT 2023

作者： Shri Vidhatri, M.M. Sivaramakrishna, M. Chitrakkumar, S. IIIT-H Hyderabad India Innovative Sensor Section IGCAR Kalpakkam India

ISBN: (纸本)9781665494007

Pressure transmitters, directly or indirectly, play a key role in many systems in nuclear reactors and industries worldwide. The Innovative sensor section(ISS) in Indira Gandhi Center for Atomic Research(IGCAR) developed a pressure transmitter with a simple circuit to reduce complexity and signal-to-noise ratio. This pressure transmitter utilises a completely analog circuit to convert the change in pressure into changing current in the 4-20 mA range. The circuit also provides the output as changing frequency with changing pressure for IoT module compatibility. © 2023 ieee.

关键词： Transmitters

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Integrating Emerging Technologies with Infrastructure as Code in distributed Environments 3

Integrating Emerging Technologies with Infrastructure as Cod...

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3rd international conference on Applied Artificial Intelligence and computing, ICAAIC 2024

作者： Abbas, Syed Imran Garg, Ankit Chandigarh University Apex& Cse Punjab Mohali India

ISBN: (纸本)9798350375190

Manual provisioning of infrastructure limited flexibility, scalability, and stability in distributed environments. The adoption of Infrastructure as Code (IaC) principles has dramatically enhanced deployment agility, reducing infrastructure change implementation to mere minutes. Automation facilitated dynamic scaling, optimizing resource utilization and cost efficiency. By standardizing configurations as code, IaC improved consistency and reliability, mitigating the risks associated with configuration drift and security vulnerabilities. This shift significantly reduced operational overhead, allowing IT teams to concentrate on strategic initiatives. Uniform and auditable configurations strengthened security and compliance, ensuring adherence to regulatory standards. The integration of IaC with emerging technologies has revolutionized organizational operations, enabling enterprises to navigate complex digital landscapes with increased agility and resilience. Through automation and standardization, organizations are now better positioned for sustained success and competitiveness in the evolving digital era. © 2024 ieee.

关键词： Scalability

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Blockchain based Secure Data Management for Healthcare Applications 3

Blockchain based Secure Data Management for Healthcare Appli...

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3rd international conference on Communication, computing and Digital systems, C-CODE 2023

作者： Khan, Muhammad Zalkifal Nadeem, Maham Kaleem, Mohammad Nazir, Sajid Comsats University Department of Electrical and Computer Engineering Islamabad Pakistan Glasgow Caledonian University Department of Computing Glasgow United Kingdom

ISBN: (纸本)9798350332391

Blockchain technology is poised to transform the data storage and data interchange models. A blockchain is a distributed ledger of transactions stored across a network of nodes. This decentralized model provides immutability and traceability of the records and is known as distributed Ledger Technology (DLT). In the implemented healthcare system, we used a decentralized blockchain based peer to peer architecture ensuring data security, availability, and reliability. We leverage the Substrate framework, part of Polkadot ecosystem for building blockchains. Once the patient logs into their profile, they are able to view their medical history along with any doctor's prescriptions and laboratory reports. When the doctor accesses a patient's profile, they can make new entries to the medical records and prescriptions. In addition, we show that a tamper-proof record of the healthcare assets can be securely maintained, and accessible to the authorized entities. © 2023 ieee.

关键词： distributed ledger

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MEMS Electric Field sensor Based on Piezoelectric Driving and Electrostatic Induction 3

MEMS Electric Field Sensor Based on Piezoelectric Driving an...

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3rd international conference on Energy and Electrical Power systems (ICEEPS)

作者： Zhou, Ke Jin, Qingren Liao, Wentao Lu, Baihua Guangxi Power Grid Co Ltd Elect Power Res Inst Nanning Peoples R China

ISBN: (纸本)9798350375145;9798350375138

This paper presents a novel piezoelectrically driven, charge-sensing micro electric field sensor. The sensor operates by driving a beam that causes a shielding plate to oscillate periodically under an applied driving voltage. When the sensor is placed in an external electric field, the periodic movement of the shielding electrode induces charges on the sensing electrode. These induced charges generate a measurable induced current in an external circuit, from which the magnitude of the external electric field can be deduced. Theoretical analysis combined with finite element simulation was first used to derive the theoretical output response of the sensor. The device was then fabricated using a commercial Silicon on Insulator (SOI) process. The proposed MEMS electric field sensor features a low driving voltage, effectively reducing power consumption. It also exhibits a linear output response and excellent sensitivity, greatly simplifying the sensor's signal processing circuitry and minimizing interference. These characteristics make it well-suited for industrial electric field measurement applications.

关键词： MEMS Electric Field Measurement Piezoelectric Driving Electrostatic Induction

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Review of Non-Orthogonal Multiple Access Schemes and Challenges in Wireless Body Area Network 3

Review of Non-Orthogonal Multiple Access Schemes and Challen...

引用

3rd international conference on Advance computing and Innovative Technologies in Engineering, ICACITE 2023

作者： Pavithra, S. Chithra, S. Rajalakshmi Engineering College Department of ECE Chennai India

ISBN: (纸本)9798350399264

Wireless body area network (WBAN) is a unique technology where efficient energy operation is a key challenge in WBAN. The battery powered wireless sensor nodes are in large number that are spatially distributed nodes that finds its application in medical, non-medical, sports and entertainment. Since these nodes are battery powered, the replacement of these nodes is highly complicated and intricate. The energy consumed by these nodes should be kept as low as possible in order to extent their lifetime. In recent research work, energy efficiency of the sensor node is a key challenge. In this paper, we introduce the emerging technique called NOMA i.e., Non-Orthogonal Multiple Access to enhance the energy conservation and network lifetime. The idea of NOMA is to use superposition method of coding on the sensor nodes with successive interference cancellation (SIC) in the sink with the help of body control unit (BCU) that acts as a relay. © 2023 ieee.

关键词： sensor nodes

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Differential Protection of Active Distribution Network in the Presence of Inverter Interfaced distributed Generation 3

Differential Protection of Active Distribution Network in th...

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3rd ieee international conference on Electrical Power and Energy systems, ICEPES 2024

作者： Farook, M Ummar Aneesa Farhan, M.A. Ramadhani, Salum Mwamini National Institute of Technology Tiruchirapalli dept. Electrical and Electronics engineering Tiruchirapalli India

ISBN: (纸本)9798350390728

With the surge in distributed generation, particularly from renewable sources, Distribution System Operators (DSOs) face the challenge of evolving from traditional protection strategies to more proactive strategies. This paper addresses impedance-based differential protection in active distribution networks (ADN). The principle of operation of two buses during normal operations, external fault and internal fault. Accordingly, differential impedance and restraint impedance of the feeder are measured for various operating conditions that include both faults (external fault and internal fault), with varying fault resistance and normal operations. The fault is detected and discriminated as an internal or external fault based on the amplitude of differential and restraint impedance. The fault is regarded as an internal fault if the differential impedance is less than the restraint impedance of the feeder and vice versa. The proposed approach in this paper is validated in ieee 33 bus systems in the presence of an inverter interfaced distributed generation (IIDG). Digital simulation validates the suggested method's efficacy. © 2024 ieee.

关键词： Power distribution networks

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2024 3rd international conference on Artificial Intelligence, Internet of Things and Cloud computing Technology, AIoTC 2024

2024 3rd International Conference on Artificial Intelligence...

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3rd international conference on Artificial Intelligence, Internet of Things and Cloud computing Technology, AIoTC 2024

ISBN: (纸本)9798331530280

The proceedings contain 81 papers. The topics discussed include: research on distributed computing power scheduling based on ant path optimization;facial expression recognition in museum settings using an enhanced residual networks;LSD3K: a benchmark for smoke removal from laparoscopic surgery images;enhancing single image de-raining with a sparse spatial transformer;research on image recognition and intelligent management of accounting bills based on information technology;cloud-based flight test data management and application platform;design and simulation of biped robot based on ball screw;thinking about anti-drone strategies;RGembed: a knowledge graph embedding model integrating dual-prediction and graph attention networks;and improving the CodeGeeX model based on the relative convolutional multi-head attention method.

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