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

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Explosive Metal Detection using sensors and Microcontroller 2

Explosive Metal Detection using Sensors and Microcontroller

引用

2nd international conference on Sustainable Computing and Smart Systems (ICSCSS)

作者： Das, R. Mohan Raj, J. Joshua Daniel Nair, Anitha A. S. Mohan, B. S. Immanuel, J. Samson Ezhilarasan, K. New Horizon Coll Engn Dept Elect & Elect Engn Bengaluru India New Horizon Coll Engn Dept Comp Sci Engn Data Sci Bengaluru India SJB Inst Technol Dept Elect & Elect Engn Bengaluru India Karunya Univ Dept Elect & Commun Engn Coimbatore Tamil Nadu India CMR Univ Dept Elect & Commun Engn Bengaluru India

ISBN: (纸本)9798350391558;9798350379990

This research study presents the design and implementation of a Metal Detector Robot equipped with a bomb detection capability, utilizing various technologies including the Arduino development board, GSM, GPS, driver circuits, an alarm system, motors, and a metal detector. The primary objective of this project is to create a robot capable of detecting and neutralizing explosive devices, enhancing security and operational safety, particularly in military applications. The Metal Detector Robot leverages an Android-based smartphone to scan spaces for metal objects, including landmines, thus mitigating the risks associated with manual detection methods. The robot system incorporates a metal detector that employs coil induction to identify metal presence, displaying detection rates on an LCD interface. Controlled by an Arduino UNO, the robot is powered by a DC motor and emits both an audible buzzer and visual display on the LCD screen upon metal detection. Testing results indicate that the robot can be effectively controlled via an Android smartphone, ensuring efficient and precise metal detection in designated areas. This innovative approach significantly enhances security measures by providing a reliable tool for bomb detection and neutralization, reducing the potential for harm or fatalities associated with traditional landmine sweeping methods.

关键词： Metal Detection Robot Model Arduino Uno Bluetooth HC-05 Metal sensor

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Reverse Electrowetting-on-Dielectric (REWOD) Energy Harvesting Circuit Advancement for Improved Power Conversion Efficiency 67

Reverse Electrowetting-on-Dielectric (REWOD) Energy Harvesti...

引用

67th IEEE international Midwest Symposium on Circuits and Systems (MWSCAS)

作者： Sah, Pallav Kumar Alvarez, Erik Pineda Kakaraparty, Karthik Reid, Russell C. Mahbub, Ifana Univ Texas Dallas Dept Elect & Comp Engn Richardson TX 75080 USA Utah Tech Univ Dept Engn St George UT USA

ISBN: (纸本)9798350387186;9798350387179

Over the past decade, several technologies have been proposed to harvest electrical energy from mechanical energy using activities motioned at lower frequencies. However, the generated energy needs to be modulated into a suitable signal to harvest energy efficiently and use it effectively in an application. This paper presents advancements of active circuitry for the reverse electrowetting-on-dielectric (REWOD) energy harvester method. The proposed active circuitry includes a rectifier, a DC-DC converter, and a charge amplifier. The harvested energy is transformed into a DC supply using the proposed rectifier and is maintained at the required constant voltage by implementing a DC-DC converter. The REWOD-generated charge, which is typically very low, is amplified by implementing a charge amplifier improving the signal-to-noise ratio (SNR) providing a gain of 2 V/V and transmitted remotely to a digital receiver. Further, to avoid power flickering or disruption, the filter circuit of the rectifier is integrated with a super-capacitor, maintaining a constant power supply for 5 minutes with a power conversion efficiency (PCE) of more than 80% at 1 Hz. The proposed circuitry is suitable for powering small devices such as wearable body sensors for biomedical applications.

关键词： Wearable power sensor rectifier DC-DC converter charge amplifier REWOD wireless transmission super-capacitor

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IoT-Based Magnetic Field Strength Monitoring for Industrial applications 2

IoT-Based Magnetic Field Strength Monitoring for Industrial ...

引用

2nd international conference on Smart technologies for Smart Nation, SmartTechCon 2023

作者： Raman, Ramakrishnan Meenakshi, R. Ramya, R. Kaul, Meenakshi Jayaprakash, S. Srinivasan, C. Maharashtra Pune India Department of Computer Science and Engineering Chennai Institute of Technology Tamil Nadu Chennai India Department of Computing Technologies School of Computing Faculty of Engineering and Technology SRM Institute of Science and Technology Kattankulathur Tamil Nadu Chennai India Symbiosis Law School Uttar Pradesh Noida India Maharashtra Pune India School of Electrical and Electronics Engineering Sathyabama Institute of Science and Technology Tamil Nadu Chennai India Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Tamil Nadu Chennai India

ISBN: (纸本)9798350305418

Monitoring and controlling magnetic field intensity is essential in industrial settings for the reliable and secure functioning of equipment, systems, and other components. The Internet of Things (IoT) is advancing technology solutions for industrial monitoring in magnetic fields. A Raspberry Pi works as the main processing unit of the system and is equipped with a Wi-Fi module for wireless communications. Connecting a Hall Effect sensor to the Raspberry Pi through the proper interfaces may take magnetic field measurements in real-time. The Hall Effect sensor sends its readings to the Raspberry Pi, which then processes and analyzes them. A connected display then shows the processed data, giving the users or operators rapid visual feedback. Wi-Fi allows uninterrupted data transfer to be sent to the cloud or other remote monitoring systems. Magnetic field strength measurements may be taken with great precision using the Hall Effect sensor. Regarding processing and analyzing data, the Raspberry Pi proves to be a flexible and adaptable platform. The data on the magnetic field may be seen in real-time and monitored on the screen. Wi-Fi allows users to connect from afar, share information, and use cloud-based features and storage. By facilitating continuous data gathering, remote access, and enhanced analytics, an IoT-based method improves monitoring capabilities. The technology can identify irregular magnetic field patterns, sending real-time alarms or messages to facilitate preventative maintenance and safety checks. The suggested approach provides a scalable and reasonably priced means of tracking magnetic fields in manufacturing settings. It improves manufacturing safety, efficiency, and productivity by providing users with real-time information and enabling data-driven decision-making. © 2023 IEEE.

关键词： Hall Effect sensor IoT Magnetic field monitoring Raspberry Pi Real-time

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Multi-Verse Optimization for Node Localization in Wireless sensor Networks

Multi-Verse Optimization for Node Localization in Wireless S...

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Electrical, Electronics, Information and Communication technologies (ICEEICT), international conference on

作者： B. Pitchaimanickam P. Muthuvel R. Rajasekar Department of Computational Intelligence School of Computing SRM Institute of Science and Technology Kattankulathur Tamilnadu Department of ECE Saveetha Engineering College Thandalam Chennai Department of CSE School of Computing Kalasalingam Academy of Research and Education Krishnankoil Tamilnadu India

ISBN: (数字)9798350369083

ISBN: (纸本)9798350369090

Wireless sensor Networks (WSN) are focused on increasing attention to develop their potential applications in healthcare, agriculture, object tracking, and energy management. sensor nodes are placed in random locations. The information was gathered from the unknown positions of the sensor nodes, and this information may be useless for the applications. The accurate position of the node is required for more sensitive applications of WSN. This work proposes multi-verse optimization as a method for locating unknown nodes. Particle swarm optimization and firefly algorithms are contrasted with the suggested method. The experimental findings demonstrate that, compared to alternative algorithms, the suggested technique yields superior outcomes.

关键词： Location awareness Wireless sensor networks Accuracy Medical services Agriculture Information and communication technology Object tracking Particle swarm optimization Energy management Optimization

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Design and Implementation of Scalable WSN Beyond WiFi for Precision Farming

Design and Implementation of Scalable WSN Beyond WiFi for Pr...

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2023 IEEE international conference on Network, Multimedia and Information Technology, NMITCON 2023

作者： Vaz, Wilfred Sarvagya, Mrinal Deepak, H.A. Mohana, H.S. Navkis College of Engineering Hassan Dept. of Electronics and Communication Engineering Karnataka India School of Electronics and Communication Engineering Reva University Bengluru India

ISBN: (纸本)9798350300826

Agriculture is an important sector of Indian economy. The Indian government has initiated Digital Agriculture Mission for 2021-25 for agriculture projects based on new technologies. Wireless sensor network (WSN) architectures involve multiple sensor nodes that cover large areas. It is difficult to deploy such nodes efficiently. However, based on clustering and collaboration, WSNs can organize efficiently and prolong system lifetime. In this paper, we discuss the design and implementation of a WSN suitable for precision farming. The sensor data from each of the end nodes are transmitted using low-power, long-distance, and noise-resilient Long Range(LoRa) radio channels to their corresponding Cluster Heads(CHs), where it is first stored and then processed before transmitting further to the Gateways. The LoRa channels are tuned to the unlicensed ISM band permissible in India, whereas the gateway node uses 2.4 GHz frequency. The gateway nodes are connected through other nearby such nodes or directly to the internet and provide web services. The system is designed with two end nodes, a cluster head, and a gateway node. The proposed technique is easily scalable and can be extended to accommodate thousands of sensor nodes and these nodes can be distributed in vast geo-graphical area, a perfect requirement in precision farming. Our network ensures coverage wherever WiFi or Global System for Mobile Communication (GSM) signals are not available. Thus the designed system is suitable for agricultural applications in India. Several challenges related to hardware design and network parameters optimization to achieve energy-efficient system are presented and discussed. © 2023 IEEE.

关键词： sensor nodes

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Energy-efficient Security Technique Implementation for Selective Forwarding Attack in WSN 11

Energy-efficient Security Technique Implementation for Selec...

引用

11th international conference on Internet of Everything, Microwave Engineering, Communication and Networks, IEMECON 2023

作者： Banerjee, Hriday Yadav, Surendra Department of Computer Science and Engineering Jaipur India

ISBN: (纸本)9781665475129

Today, security threats provide the greatest challenge to sensor networks. WSNs, or wireless sensor networks, are commonly implemented in practical settings. However, WSNs are subject to a wide variety of assaults from both inside and outside the network, with insider attacks being especially difficult to detect and defend against. Most often, the clustered WSNs are at risk from an insider threat, in which the hackers pick and choose which incoming data packets to discard. Unmonitored network clusters are to blame for this predicament. Selective forwarding attacks (SFA) in WSN have the potential to cause damage to a wide variety of mission critical applications, including military surveillance and forest fire censorship. In these types of attacks, malicious nodes function like regular nodes for the majority of the time, but they may occasionally drop sensitive packets selectively, such as a packet recording the activity of a dissimilar power, which makes it more difficult to determine whether or not they have malicious intent. The focus of this research is the protective method against Selective forwarding assaults in WSN. First, this paper provides an overview of Wireless sensor networks, including their essential parts, defining features, and potential uses. Also, WSNs are becoming increasingly popular, but their architecture needs to be thoroughly comprehended before they can be used in a practical setting. This work uses the Open System Interconnection (OSI) model and several protocols to analyze WSN architecture, laying a solid groundwork for wireless sensor networks and helping readers find a convenient summary of key concepts, protocols, and challenges on the path to an appropriate design model for WSNs. The use of WSNs has expanded to encompass many different fields and functions. These networks are typically designed for a specific purpose, making it difficult to adapt them to meet the needs of emerging technologies. As a result, more and more WSNs will lik

关键词： sensor nodes

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Monitoring flash flood using Optical and Microwave sensor dataset:- A case study of Cachar district, Assam (India)

Monitoring flash flood using Optical and Microwave Sensor da...

引用

2023 IEEE international conference on Device Intelligence, Computing and Communication technologies, DICCT 2023

作者： Mehta, Akshay Rawat, Kishan Singh Geo-Informatics Civil Engineering Department Uttrakhand Dehradun248002 India

ISBN: (纸本)9781665474924

Flash flood is one of the world's most devastating and repeated natural hazards which severely damage the infrastructure and livelihood and also displaced millions of people each year. It is the most widespread hydrological hazard worldwide, impacting various ecological elements and applications associated with water management, natural resources, agriculture, human health, and economics. Flood damage assessment is crucial in gauging damage and estimating economic loss due to floods. The current practice of flood crop loss evaluation has become laborious, very generalized, and overlong due to the dependency survey-primarily based information collection. Remote sensing data availability makes expeditive flood loss assessment possible. Sentinel-1C-Band SAR (Synthetic Aperture Rader) and Sentinel 2 data collected from the ESA (European Space Agency) of the study area during the flooded period were analysed using geospatial techniques. The data sets used for the study were collected during the flood and were processed using Sentinel Toolbox in SNAP. © 2023 IEEE.

关键词： Losses

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Multi-sensor information fusion technology: principle, applications and key technologies explorations

Multi-sensor information fusion technology: principle, appli...

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2nd international conference on Mechatronic Automation and Electrical Engineering (ICMAEE 2024)

作者： Wenchen Wu Ruizhe Xu Guangdong Country Garden School Foshan 528312 People's Republic of China The Affiliated Middle School of Fujian Normal University Fuzhou 350007 People's Republic of China

ISBN: (数字)9781837242672

Multi-sensor information fusion (MSIF) has emerged as a critical technology in various fields due to the growing complexity of systems and the demand for precise information. This paper explores the fundamental principles, key technologies, and potential applications of MSIF. The paper delves into the design and implementation of MSIF systems, discussing various system architectures such as centralized, distributed, and hybrid models. Key technologies crucial to MSIF, including sensor calibration, data association, filtering methods, and fusion algorithms like Bayesian Criterion, Dempster-Shafer Evidence Theory, Fuzzy Theory, and Neural Networks, are thoroughly examined. The study highlights the importance of data preprocessing and feature extraction techniques in achieving efficient data fusion. Furthermore, the potential of MSIF in diagnosing complex systems is demonstrated through applications in industrial automation, environmental monitoring, and healthcare. MSIF also faces challenges related to data synchronization, algorithm complexity, and the integration of diverse data sources. With ongoing advancements in sensor technology and data processing, MSIF is poised to play an increasingly significant role in intelligent systems, including autonomous vehicles and smart cities.

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Silicon-On-Insulator Photonics Waveguide Design for Near-IR Evanescent Field-Based Blood sensor 4th

Silicon-On-Insulator Photonics Waveguide Design for Near-IR ...

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4th international conference on Optical and Wireless technologies (OWT)

作者： Chandra, Veer Choudhary, Neha Ranjan, Rakesh Natl Inst Technol Patna Dept Elect & Commun Engn Opt Fiber Commun & Photon Lab Patna 800005 Bihar India

ISBN: (纸本)9789811628184;9789811628177

Silicon-on-insulator-based photonics waveguides, namely Ridge, Rib, and Slot waveguides are explored for the blood sensing application in near-IR region. The absorption-based sensing principle has been adopted in the upper cladding/evanescent region of thewaveguide. The finite element method-based simulation results, obtained through the COMSOLmultiphysics software, have illustrated that the slotwaveguide has the optimum performance for the absorption-based sensor applications.

关键词： Silicon-on-insulator Photonics waveguide Evanescent field sensor

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Use of sensor Networks with Self-Organizing Algorithm to Increase the Agricultural Productivity

Use of Sensor Networks with Self-Organizing Algorithm to Inc...

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Computing, Power and Communication technologies (IC2PCT), IEEE international conference on

作者： Saurabh Lahoti Centre for Interdisciplinary Research in Business and Technology Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

Traditional farming methods are becoming incapable of keeping up with global population growth. As a result, innovative farming ideas are desperately necessary to meet the food needs of a growing population. Intelligent farming systems based on sensor networks with self-organizing algorithms have gained popularity in recent years as a means of increasing agricultural production. In this study, we will use sensor networks with self-organizing algorithms to boost agricultural productivity. Finally, the paper describes the future applications of appropriate technology in agricultural production.

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