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检索条件"任意字段=5th IEEE International Conference on Distributed Computing in Sensor Systems"

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Development of a Printed Impedance Based Electrochemical sensor for E. Coli Detection 5

Development of a Printed Impedance Based Electrochemical Sen...

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5th ieee international conference on Flexible and Printable sensors and systems, FLEPS 2023

作者： Eskandari, Parinaz Adineh, Alimohammad Haji Maddipatla, Dinesh Atashbar, Massood Western Michigan University Department of Electrical and Computer Engineering Kalamazoo United States

ISBN: (纸本)9781665457330

A printed impedance based electrochemical sensor was successfully developed on a flexible substrate for detection of Escherichia coli, a common pathogen that causes wound infections. this flexible sensor was fabricated by screen printing silver/silver chloride (Ag/AgCI) ink as working and reference electrodes on polyimide (Kapton) substrate. the capability of the fabricated electrochemical sensor for detecting trace concentrations of E. coli in defibrinated sheep's blood was investigated. the electrochemical impedance spectroscopy (EIS) based response of the printed sensor revealed detection levels as low as 103 colony forming units (CFU)/mL as well as the capability of the sensor to distinguish among varying levels (103,105,107 CFU/mL) of sample. the EIS response of the developed electrochemical sensor has been analyzed and is presented in this paper. © 2023 ieee.

关键词： Escherichia coli

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Sun sensor Design for Full Field of View Coverage 5

Sun Sensor Design for Full Field of View Coverage

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5th ieee international conference on Advanced systems and Emergent Technologies (IC_ASET)

作者： Adnane, Akram Cheriet, Mohammed El-Amine Benfriha, Elhassen Bellar, Abdellatif Mohammed, Arezki Si Mohammed Kebbati, Youssef Satellite Dev Ctr Space Mech Res Dept Oran Algeria Univ Orleans Lab Phys & Chim Environ & Espace Orleans France

ISBN: (纸本)9781665427357

Sun sensors instrument measure the direction of the sun relative to the spacecraft by converting the amount of light energy into an electrical measurement. In this paper, we present a novel geometry, called 3D shape, of sun sensor array that contains three structures: pyramidal structure in the top, cube structure in the middle and inverted pyramidal structure in the bottom. In fact, our aim is to achieve the field of view of sun sensor by selecting an appropriate tilt angle of the Ambient Light sensors (ALS). To validate our 3D shape, we have developed a mathematical model allowing calculus of solar vector orientation in the sun sensor coordinates. Simulation results show the advantages of the proposed configuration compared with, well used, regular pyramidal shape.

关键词： sun sensor field of view ambient light sensor

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Comparison of Different Shapes MEMS based Piezo Electric Pressure sensor for Smart Devices 5

Comparison of Different Shapes MEMS based Piezo Electric Pre...

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5th international conference on Smart systems and Inventive Technology, ICSSIT 2023

作者： Nath, Srigitha S. Lingaraja, D. Aravind, P. thangavel, P. Kumar, P. Arun Ram, G. Dinesh Saveetha Engineering College Department of Electronics and Engineering Chennai India

ISBN: (纸本)9781665474672

this paper deals with design and comparison of different shaped MEMS pressure sensors. there are many components to note down the deflection of pressure but this research work has selected to design a piezoelectric pressure sensor in COMSOL Multi-physics software. MEMS pressure sensor is used as they are lightweight by delivering enhanced performance and reliability. the piezoelectric sensor is selected over piezoresistive sensor since it has the high threshold ratio. the piezoelectric sensor is designed in three different shapes such as square, circle and Octagon to find which is having high performance and high deflection range. this study has compared all the three shapes and the output is noted for obtaining the best results. After testing it in COMSOL, the designed piezoelectric can be applied in many fields like biomedical, automobile and smartphones. © 2023 ieee.

关键词： Pressure sensors

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A Novel Machine Learning Strategy for Anomaly Identification Scheme in Wireless sensor Networks Using Supervised Training Principles 5

A Novel Machine Learning Strategy for Anomaly Identification...

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5th international conference on Electronics and Sustainable Communication systems, ICESC 2024

作者： Shifani, S. Agnes Mary, A. Antony Metilda, M.I. Mary Rajkumar, G. Vinoth Sutha, M.S. Maheshwari, S. Saveetha University Chennai

ISBN: (纸本)9798350379945

Anomaly detection in Wireless sensor Networks (WSN s) is critical for maintaining the integrity and reliability of various monitoring systems, especially in agricultural settings. the core of this study is the development of a hybrid anomaly detection model, SVM-RFNet, which integrates Support Vector Machines (SVM), Random Forests (RF), and Neural Networks (NN). By applying noise reduction techniques, such as smoothing algorithms, the data quality is significantly enhanced, resulting in cleaner and more stable datasets. Feature engineering, including temporal trend analysis and Principal Component Analysis (PCA), further refines the dataset by extracting and selecting the most informative features. this model combines the strengths of each method, leveraging SVM's robustness in high-dimensional data, RF's ensemble learning capabilities, and NN's ability to learn complex patterns. the SVM-RFNet model achieved an impressive accuracy of 96%, demonstrating its efficacy in real-time anomaly detection. the paper concludes with a discussion on future research directions, including the integration of advanced deep learning techniques and the development of self-healing networks, which promise to further enhance the capabilities and applications of WSN s in various domains. © 2024 ieee.

关键词： Noise abatement

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Optimizing Cluster Head Formation using Re-Election Algorithm in Wireless sensor Networks 5

Optimizing Cluster Head Formation using Re-Election Algorith...

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5th international conference on Smart systems and Inventive Technology, ICSSIT 2023

作者： Kumar, R. Vinod Babu, Kolli Ram, Kola Sri Karthikeyan, G. Saveetha Engineering College Dept. of Ece Chennai India

ISBN: (纸本)9781665474672

An energy-efficient technique is needed to enhance the lifespan of a wireless sensor network (WSN) made up of geographically separated sensor nodes. Many of the known solutions to this optimization challenge include limitations, such as an inability to adjust network architecture, which might kill sensor nodes prematurely. Re-election of cluster heads has gained popularity to increase WSN energy efficiency and longevity. To assess the algorithm's usefulness, its performance was compared to other algorithms. this Endeavour attempts to build a clustering environment and evaluate how adding nodes impacts the Cluster Head's energy usage (CH). the sensor network limits node hopping. the initiative intends to design a dynamic algorithm that re-elects CH after a set duration, decreasing energy usage. To compare the method's performance, the CH energy level graphs are also analyzed. © 2023 ieee.

关键词： sensor nodes

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Poster Abstract: A Human Body Power Transfer System to Enable Battery-Less sensor Nodes 23

Poster Abstract: A Human Body Power Transfer System to Enabl...

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8th ACM/ieee international conference on Internet of things Design and Implementation (IoTDI)

作者： Rogge, Rabea Schulthess, Lukas Vogt, Christian Magno, Michele Swiss Fed Inst Technol Dept Informat Technol & Elect Engn Zurich Switzerland

ISBN: (纸本)9798400700378

New wearable technologies come with high requirements for miniaturization and flexibility, which are usually restricted by rigid batteries. Capacitive power transfer and communication, employing the human body as a conductive medium enables energy-efficient communication and even the possibility to achieve battery-lesswearable sensors distributed on the body. this work presents as a proof-of-concept a complete system consisting of a custom-designed on-body transmitter and battery-less receiver and evaluates the power transmitted and the range achieved. We demonstrate the applicability of our prototype to a real-life scenario as a glucose level tracker even in realistic non-perfect grounding conditions. the realized design offers a power transmission of up to 2.5mW at distances of 15 cm and 5.5 mu W at 125 cm, showing the possibility of battery-less on-body edge computing applications.

关键词： Internet of things Body sensor Network Cyber-Physical systems Capacitive Power Transfer Battery-free sensors

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Research on Reactive Power Optimization for Port Area Grid Considering Charging Load of Electric Ships and Renewable Energy Generation 5

Research on Reactive Power Optimization for Port Area Grid C...

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5th international conference on Power Engineering, ICPE 2024

作者： Lin, Jingyi Cheng, Ling Lin, Yi Wu, Shaojiang Gao, Ning China Electric Power Research Institute Co. Ltd. Beijing100192 China State Grid Fujian Power Electric Co. Ltd. Fuzhou350001 China

ISBN: (纸本)9798331531140

this paper focuses on the stability and economic operation challenges faced by the port power grid after integrating distributed renewable energy and shore power systems, and conducts research on reactive power distribution optimization. First, analyzing and modelling for the various source load characteristics within the power grid in the port area are carried out. the charging load characteristics of electric ships and the operation strategy of energy storage power stations are provided too. On basis of this foundation, the traditional mayfly optimization algorithm is improved by incorporating chaotic mapping and nonlinear weights, thereby enhancing the algorithm's global search capability and convergence speed to better tackle complex reactive power optimization problems. Additionally, an optimization model for reactive power allocation in port area grids is established, with its objective function defined. Finally, through case studies, the feasibility and effectiveness of the improved algorithm are verified. the results indicate that the presented method can optimize reactive power at grid nodes, reduce system losses, and improve overall voltage stability. © 2024 ieee.

关键词： distributed renewable energy mayfly algorithm port distribution grid reactive power optimization shore power load

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Malware Detection By distributed systems with Partial Centralization 12

Malware Detection By Distributed Systems with Partial Centra...

引用

12th ieee international conference on Intelligent Data Acquisition and Advanced computing systems: Technology and Applications, IDAACS 2023

作者： Savenko, Bohdan Kashtalian, Antonina Lysenko, Sergii Savenko, Oleg Khmelnytskyi National University Khmelnytskyi29016 Ukraine

ISBN: (纸本)9798350358056

the paper proposes approach to use new tools for malware detection in corporate networks, which are distributed systems with partial centralization. To make decision about malware presence, the components which includes specified decision-making for the system's center are defined as a decentralized subsystem. To determine the states of the system components, characteristic indicators are proposed, and generalized analytical expressions for their calculation are developed. Such calculations make it possible to assess the state of the components in the system in order to determine its further steps. As a result, the system is the basis for usage of different malware detection methods in combination with the system components as an integral sensor. To test the system, a worm-virus detection method was implemented and experiments were conducted. the results of experimental studies approved the efficiency of the proposed solution. © 2023 ieee.

关键词： distributed systems malware malware detection network security partial centralization worm-virus

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Research on Broadband Fault Detection Method for 5G Network of distributed Smart Grid Based on Deep Learning 5

Research on Broadband Fault Detection Method for 5G Network ...

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5th international Communication Engineering and Cloud computing conference, CECCC 2023

作者： Guan, Qingyong Wang, Haiyang Sun, Haipeng Su, Junhao Yu, Xiaodong Shandong Electric Power Engineering Consulting Institute Co. Ltd Jinan China

ISBN: (纸本)9798350344752

Recently, the rapid development of 5G trusted communication technology has greatly contributed to economic and social progress, greatly improving production efficiency. However, the rapidly developing 5G communication technology will inevitably add complexity to the maintenance of network lines and energy scheduling of smart grids. In order to better safeguard the operation and maintenance of 5G communication and energy scheduling of smart grids, reduce operation and maintenance costs, and better ensure the normal scheduling of smart grid systems, this paper conducts in-depth research on the distributed smart grid inspection system of automated unmanned aerial vehicles based on large-scale data and deep learning technology, and applies image super-resolution technology to the system. A real-Time fault detection method for distributed smart grid unmanned aerial vehicles based on 5G communication sites and deep learning is proposed. Specifically, the paper mainly builds a network model based on deep convolutional neural networks and attention mechanisms. the attention mechanism can effectively assign more weights to important fault features, which is beneficial for improving the performance of the model. the experimental results show that compared with existing lightweight models, the method proposed in this paper can not only improve the evaluation indicators and accurately determine whether there are faults in 5G stations and power grid dispatch systems, but also reduce the parameters and computational costs of the model. In actual deployment, the method proposed in this article can meet real-Time production needs, greatly improving the efficiency of operation and maintenance, while reducing operation and maintenance costs. © 2023 ieee.

关键词： Fault detection

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Mapping method of embedded system based on multi-sensor data fusion for unstructured terrain 5

Mapping method of embedded system based on multi-sensor data...

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5th international Academic Exchange conference on Science and Technology Innovation, IAECST 2023

作者： Wang, Yufei Wang, Zhiming Shanghai University School of Mechatronic Engineering and Automation Shanghai China

ISBN: (纸本)9798350357738

Simultaneous localization and mapping, as the basic methods for autonomous motion of mobile robots, have been widely developed and applied in conventional structured environments. But it is more difficult to collect and process data in unstructured environments. the elevation map provides an efficient, simple and powerful geometric representation of terrain for ground robots. Robots can use this information for navigation, path planning and motion control in uncertain environments. However, a single sensor provides less information about the environment. At the same time, for embedded systems with limited computational power, their real-time performance will be affected. In order to solve the above problems, this paper proposes an improved elevation mapping method based on multi-sensor data fusion. More informative elevation maps are obtained using sensor data from multiple sources, while processing is accelerated by GPU. We demonstrate the optimization performance of the proposed method with simulated data sets and real terrain experiments, and compare the reconstructed elevation map with the real ground, proving that the proposed method can be used for autonomous navigation of mobile robots. © 2023 ieee.

关键词： Embedded systems

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