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检索条件"任意字段=International Conference on Sensor Technologies and Applications, SensorComm"

共 9412 条记录，以下是301-310 订阅

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A Computational Intelligence Inspired Framework for Intrusion Detection in WSN

A Computational Intelligence Inspired Framework for Intrusio...

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2024 international conference on Decision Aid Sciences and applications, DASA 2024

作者： Pandey, Vivek Kumar Prakash, Shiv Gupta, Tarun Kumar Yang, Tiansheng Singh, Abhishek Rathore, Rajkumar Singh University of Allahabad Department of Electronics and Communication Prayagraj India University of Delhi Department of Computer Science Miranda House Delhi India University of South Wales Faculty of Business and Creative Industries Pontypridd United Kingdom Institute of Engineering & Technology Department of Computer Science & Engineering Dr. A.P. J. Abdul Kalam Technical University Lucknow India Cardiff School of Technologies Cardiff Metropolitan University Cardiff United Kingdom

ISBN: (纸本)9798350369106

In this growing world of technology, the wide range of uses of wireless sensor networks (WSNs), such as tracking the environment and keeping an eye on the military, makes them indispensable in many applications. However, due to their open nature and limited resources, WSNs have become an easy target for different security threats, like intrusion attempts. Intrusion detection systems (IDSs) protect WSNs from these threats. This research examines the intrusion detection methods for WSNs and focuses on those that use computational intelligence. This review explores the usefulness of different computational intelligence methods in detecting intrusions in WSNs. It also suggests areas where more research is needed and offers possible directions for further exploration. © 2024 IEEE.

关键词： Network intrusion

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Modeling Quadcopter Stabilization 2nd

Modeling Quadcopter Stabilization

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2nd international conference on Information technologies and Their applications

作者： Pashayev, Adalat Sabziev, Elkhan Inst Control Syst AZ-1141 Baku Azerbaijan

ISBN: (纸本)9783031734168;9783031734175

Problems of control of unmanned aerial vehicles (UAVs) are investigated. The problem of developing an automatic controller to maintain the spatial position of UAVs is addressed. The spatial position here is altitude, yaw, roll and pitch angles. It is assumed that the initial information comes from the MPU6000 type sensors. An approach to solving the problem of signal denoising and tuning is proposed. sensors of this type output loads (accelerometers) and angular velocities. To calculate the current angle, it is necessary to integrate the angular velocities. In doing so, it becomes necessary to solve two problems. First, angular velocities are measured in the local coordinate system, while the spatial position of the UAV is calculated relative to the global coordinate system. Second, when integrating angular velocities, the effect of error accumulation occurs. The possibilities of refining gyroscope readings based on accelerometer readings are investigated. A simulation program is developed on the basis of a mathematical model of quadcopter motion. The source of forces and torques acting on the system is the Earth's gravity, the thrust force and torques generated by the motors, and the drag force. Numerical methods are used to solve the system of equations. A PD controller is proposed to maintain the spatial position of the quadcopter. The coefficients are found experimentally. The proposed approach is verified in a computer simulation program.

关键词： UAV PD controller MPU6000 flight stabilization orientation angles sensor data processing regulator filter

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10th international conference on New technologies, Development and applications, NT 2024

10th International Conference on New Technologies, Developme...

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10th international conference on New technologies, Development and applications, NT 2024

ISBN: (纸本)9783031662706

The proceedings contain 151 papers. The special focus in this conference is on New technologies, Development and applications. The topics include: Developing 3D Welding Process with SIEMENS NX and KUKA Robot Manipulator;comparison of Two Control Strategies for a Quarter Drone System;deviation Analysis of Upper Leg Angle Measurements: Insights into Inertial sensor Placement Strategies;a Dynamic Study on the Key Aspects of a Helicopter Main Transmission System;Efficient 3D Alignment of Physical Structures with CAD Model Nominals in Manufacturing: A Genetic Algorithm Approach;Effect of Infill Struktureon Mechanical Parameters of FDM 3D Printed PLA and PLA+CF Materials: Characterization and Comparative Analysis;Experimental Study of Tensile Mechanical Properties of FDM 3D Printed Material and Techno-Economic Analysis Using Definitive Screening Design;Properties and Application of Wood-Plasticcomposites Obtained by FDM 3D Printing;3D Printed Toy Watch with Mechanical Iris;analytical Investigation of the Tapered Thread Helix Angle;analysis of the Calibration of Different Types of Incubators and Their Calibration Deviations;investigation of Conditions of Directed Thermal Influence on Changes of Physical and Mechanical Properties of Diamond Grains in a Grinding Wheels;a Contribution to Theoretical-Experimental Research of Transverse Vibrations of the Axle Spindle Lever of a Commercial Motor Vehicle;dynamical Behavior of the Glycolysis Model Involving the Fractional Caputo Derivative;functionality-Related Performance of Surface Microrelief Evaluation in Ultrasonically and Shot Peened Inconel 718 Alloy Manufactured by Laser Powder Bed Fusion Process;on the Design of Experiments Methodology for the Optimal Design of a New Machinery;frequency Constraints in Optimization of Structures.

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An Efficient Node to Node Coverage and Connectivity with RSSI Using Grey-Wolf Prediction Optimization Algorithm in Remote Low Accessibility Area 2

An Efficient Node to Node Coverage and Connectivity with RSS...

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2nd IEEE international conference on Vision Towards Emerging Trends in Communication and Networking technologies, ViTECoN 2023

作者： Bashyam, Sean Laurel Rex Chandra, Jyotsna Renuga Devi, S. School of Electronics Engineering Vellore Institute of Technology vellore India

ISBN: (纸本)9798350347982

Wireless sensor Networks (WSN) which are specifically designed for monitoring disaster applications require precise knowledge of the location of the sensor nodes, since the nodes tend to relocate from their initial deployed position when disaster strikes. In addition, due to sensing, processing and transmission of monitored data, energy of the nodes gets depleted resulting in energy holes and might lead to partition in the network which is undesirable. In this work, Delaunay Triangulation (DT) method is used to determine the Point of Intersection (POI) between the partitioned sensor node groups. Received Signal Strength Indicator (RSSI) and Predicted Received Signal Strength Indicator (PRSSI) techniques are used to find the connectivity strength between the partitioned group nodes and the POI. Grey Wolf Optimization with Weight Prediction Algorithm (GWO-WP) is used to improve RSSI and arrive at a stronger POI. It is also shown that the use of mobile nodes to collect data from multiple POI establishes good connectivity between the partitioned groups. © 2023 IEEE.

关键词： sensor nodes

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Energy Aware Node deployment using Ant Lion optimization algorithm in underwater acoustic sensor Network 2

Energy Aware Node deployment using Ant Lion optimization alg...

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2nd international conference on Smart technologies and Systems for Next Generation Computing, ICSTSN 2023

作者： Sambath Kumar, R. Sivaradje, G. Puducherry Technological University Department of Electronics & Communication Engineering Puducherry India

ISBN: (纸本)9798350348002

underwater wireless sensor networks were created as a result of the spread of wireless sensor networks. Because of its extensive and in-the-moment applications, it has had a significant impact on research. However, there are numerous challenges to successfully implementing underwater wireless sensor networks. The issue of energy depletion in sensor nodes is the biggest concern in the underwater sensor network. In this article, the Ant Lion optimization algorithm (ALOA) is employed to extend the lifespan of the underwater wireless sensor network, collect information from inner sub-cluster sensor nodes, and shorten the relay nodes' multi-hop transmission distance. The undersea network area is modeled as a set of three-dimensional concentric cylinders with many stages. Each stage is also separated into a number of blocks, each of which represents a single cluster. The suggested algorithm operates in a bottom-up Vertical communication from the ocean floor to the surface. The communication problems caused by strong water pressure toward the sea floor are resolved by using many levels of differing heights. Simulations are run to demonstrate the effectiveness of the suggested approach, which performs better in terms of throughput of 297.99 kbps, PDR of 46.34%, energy usage of 13%, and packet loss of 165.6 kbps. © 2023 IEEE.

关键词： Optimization

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BIBLIOMETRIC REVIEW OF SMART sensor FOR HEALTH MONITORING

BIBLIOMETRIC REVIEW OF SMART SENSOR FOR HEALTH MONITORING

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international conference on Green Energy, Computing and Intelligent Technology 2024, GEn-CITy 2024

作者： Halim, Christian V. Marinah, Murti Shafira, Dinda A.I. Dwiyantara, Muhammad Y. Abadi, Imam Department of Physics Engineering Faculty of Industrial Technology and Systems Engineering Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (纸本)9781837242689

Smart sensors and medical health technologies are becoming increasingly popular due to their potential for real-time, noninvasive health monitoring and diagnostics. With the integration of Artificial Intelligence (AI), these devices can track vital signs and important biomarkers, supporting the management of chronic diseases. This study employs bibliometric analysis using tools like VOSviewer to map research trends in this domain, identifying collaborations, emerging keywords, and contributions from institutions and countries. Findings indicate a significant increase in publications and citations, especially after 2010, highlighting influential journals such as IEEE sensors Journal. The primary focus is on health monitoring applications and advancements in sensor technology, with an increasing use of terms like "machine learning" and "data analytics." These findings provide insights into future research directions and technological innovations that impact medical health applications. It is recommended that future development integrate advanced data processing techniques and apply sensors in infrastructure and smart city environments, aiming to create systems that are more responsive, efficient, and sustainable. © The Institution of Engineering & Technology 2024.

关键词： Electronic health record

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sensor-based Use Case Advancements in Smart Parking - Pioneering the Next Generation of Smart City applications Full Research Paper 44

Sensor-based Use Case Advancements in Smart Parking - Pionee...

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44th international conference on Information Systems: Rising like a Phoenix: Emerging from the Pandemic and Reshaping Human Endeavors with Digital technologies, ICIS 2023

作者： Riehle, Dennis M. Arz von Straussenburg, Arnold F. Blazevic, Mevludin Wolters, Anna Institute for Information Systems Research University of Koblenz Koblenz Germany

ISBN: (纸本)9781713893622

Smart Cities are experiencing an increasing interest in academia and industry, underscoring the importance of efficiently utilizing sensor data to manage urban resources. The Internet of Things (IoT) is central to Smart City models, employing a variety of sensors to collect diverse data relevant to enhancing the urban living experience. Among the numerous Smart City applications, Smart Parking stands out, facilitating real-time updates about parking availability as already implemented in many cities. Still, the significant potential remains for advancing and broadening existing use cases, which is pivotal for driving innovation in the field. This paper addresses the exploration, classification, and potential enhancements of existing sensor-based use cases in the Smart City, particularly in Smart Parking applications. For this purpose, a literature review is carried out to structure existing Smart City use cases, and group brainstorming is employed to gain an understanding of innovating in the Smart Parking domain. Copyright © 2023 Dennis M. Riehle, Arnold F. Arz von Straussenburg, Mevludin Blazevic & Anna Wolters.

关键词： Internet of things

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Artificial Neural Network-Assisted Confinement Loss Prediction of D-Shaped PCF-SPR Biosensor 7

Artificial Neural Network-Assisted Confinement Loss Predicti...

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7th IEEE international Humanitarian technologies conference, IHTC 2024

作者： Islam, Nazrul Hasan, Mia Mohammad Shoaib Hasan, Md. Nahid Shibly, Imam Hossain Yousuf, Mohammad Abu Uddin, Md Zia Jahangirnagar University Institute of Information Technology Savar Dhaka1342 Bangladesh Rajshahi University of Engineering and Technology Department of EEE Rajshahi6204 Bangladesh Khulna University Computer Science and Engineering Discipline Khulna9208 Bangladesh SINTEF Digital Sustainable Communication Technologies Oslo Norway

ISBN: (纸本)9798350354645

Machine learning (ML) has become a pivotal force in enhancing the capabilities of sensing technologies across a wide range of applications, including biosensing, agriculture, industrial automation, and more. This paper presents a photonic crystal fiber (PCF)-surface plasmon resonance (SPR) biosensor with a maximum wavelength sensitivity (WS) of 41,000 nm/RIU and attains the highest resolution of 2.44 × 10-6 within an analyte refractive index (RI) of 1.39. The sensor's highest sensitivity and resolution stem from its thoughtful design and the strategic choice of gold as a plasmonic material for the PCF, enhancing light-analyte interactions. Moreover, an artificial neural network (ANN) is used to accurately predict confinement loss with high precision and refine the biosensor's design for optimal performance. Furthermore, a pivotal part of this research is to study various ML activation functions such as rectified linear activation (ReLU), hyperbolic tangent (Tanh), and Sigmoid to understand their role in accurately predicting confinement loss. Additionally, the work detects subtle changes in the RI of analytes holding various types of human cancerous cells. This advancement in SPR sensor technology heralds exciting developments in sensitive detection platforms, offering a powerful instrument for cutting-edge research. © 2024 IEEE.

关键词： Photonic crystal fibers

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2023 IEEE international conference on Agrosystem Engineering, Technology and applications, AGRETA 2023

2023 IEEE International Conference on Agrosystem Engineering...

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2023 IEEE international conference on Agrosystem Engineering, Technology and applications, AGRETA 2023

ISBN: (纸本)9798350347333

The proceedings contain 26 papers. The topics discussed include: an autonomous hybrid drone-rover vehicle for weed removal and spraying applications in agriculture;comparison of dynamic tomato growth models for optimal control in greenhouses;optimizing water efficiency in agriculture: design and evaluation of a smart crop watering system (SCWS) prototype;development of humidity sensor on interdigitated electrode (IDE) for agriculture applications;a review on the performance of passive and active direct evaporative cooling system for preservation of perishable agriculture produce;a comparative study of FLL and PLL in boost PFC converter control for smart greenhouse farming application;and adoption level of smart farming technologies (SFTs) by poultry farmers in Malaysia.

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An FPGA-Based Embedded System for Terrain Recognition Using Inertial Measurement Units 8

An FPGA-Based Embedded System for Terrain Recognition Using ...

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8th IEEE international conference on Image and Signal Processing and their applications, ISPA 2024

作者： Madaoui, Lotfi Kedir-Talha, Malika Kerdjid, Oussama University of Sciences and Technology Houari Boumedien Department of Electrical Engineering LINS Laboratory Algiers Algeria CEIT University of Dubai Dubai United Arab Emirates Center for Development of Advanced Technologies Algiers Algeria

ISBN: (纸本)9798350309249

Terrains Recognition (TR) using Inertial Measurement Units has received special attention in recent years due to the widespread availability of wearable devices. In this research, we suggested a hardware implementation of a Terrains Recognition system on a Xilinx FPGA platform. The solution employs a lone IMU sensor positioned on the shank and employs an MLP neural network classifier for the categorization of five terrains (Walking, Stair Descent/Ascent, Ramp Descent/Ascent). The hardware architecture of the suggested system underwent optimization through the utilization of parallelism optimization methods such as Unroll, Pipeline and Memory partition. This approach led to a significant improvement in performance, with faster processing speeds. © 2024 IEEE.

关键词： Pattern recognition

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