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Review and application of Edge AI solutions for mobile collaborative robotic platforms 55

Review and application of Edge AI solutions for mobile colla...

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55th CIRP conference on Manufacturing systems, CIRP CMS 2022

作者： Ramasubramanian, Aswin K. Mathew, Robins Preet, Inder Papakostas, Nikolaos Laboratory for Advanced Manufacturing Simulation and Robotics School of Mechanical and Materials Engineering University College Dublin Ireland CeADAR-Ireland's Center for Applied AI University College Dublin Ireland

Edge AI technologies have emerged as a powerful solution for gathering and processing data in real-time, supporting the development of advanced applications for process monitoring, planning and control. Edge AI devices coupled with different sensory systems can be used for facilitating the synergetic human-robot collaboration at the shop floor level. This paper reviews edge AI devices and solutions that may potentially support the operation of cells or workstations comprising human operators and mobile robotic platforms. The use of edge AI-capable devices for operator tracking in real-world applications and the potential of edge AI technologies towards developing and deploying process digital twins are discussed. The main goal is to investigate how edge AI solutions may improve the performance of processes where a collaborative mobile manipulator works alongside a human operator in a safe and reliable manner. Lastly, the use of advanced communication frameworks, such as the Robot Operating System (ROS), is discussed in the context of supporting the seamless interaction between a collaborative mobile platform and Edge AI devices. © 2022 The Authors. Published by Elsevier B.V.

关键词： Collaborative Manipulators Control Robot sensor

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advanced GPS Tracking System for Pets

Advanced GPS Tracking System for Pets

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Smart systems for applications in Electrical Sciences (ICSSES), International conference on

作者： Sayujaya Sharma Amit Kumar Aryal Aanchal Singh Sweata Kumari Rauniyar Babasaheb Satpute Department of Computer Science and Engineering Jain (Deemed-to-be University) Bengaluru India

ISBN: (数字)9798350364040

ISBN: (纸本)9798350364057

In today’s perceptive, pets have become a valuable member of a family. However, the prevalence of pet lost poses a significant risk, often attributed to carelessness of parents/owners. To address this, a proposed system utilizing a microcontroller (Arduino), a GPS (Geo Positioning System) Module, a GSM Module and a Pulse (Heart beat) sensor aims to augment safety for both pets and parents/owners. The system’s core relies on the GPS module’s capability to detect the location of pets when it is lost or escaped. If the pet escapes beyond the geo-fencing area, it collects the location (in the form of latitude and longitude) and pulse (heart beat) rate with the help of GPS module and Pulse sensor respectively and sends those details to the owner with help of GSM module, later on the owner map those co-ordinates into real time map. This innovative approach seeks to proactively address the problem of losing pets, mitigating pet losing/dying risks and fostering a secure and healthy pet. Its implementation holds promise in significantly reducing pet losing problem, ensuring safer and healthier pet keeping and adoption.

关键词： GSM Tracking Heart beat Animals Real-time systems Safety Biomedical monitoring

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Two stage lock in amplification for improving magnetic data acquisition systems using Quantum Well Hall Effect sensors 60

Two stage lock in amplification for improving magnetic data ...

引用

60th Annual conference of the British Institute of Non-Destructive Testing, NDT 2023

作者： Murshudov, Ruslan Sexton, James Lindley, Alexander Missous, Mohamed Advanced Hall Sensors Ltd Manchester Greater ManchesterM17 1RW United Kingdom School of Engineering University of Manchester United Kingdom

ISBN: (纸本)9781713874836

Quantum Well Hall Effect (QWHE) sensors are a type of magnetic field sensor with previously demonstrated applications in NDT imaging systems. These sensors are typically biased in the 10-100kHz frequency range to avoid both 1/f noise and magnetic pickup. The signal is then further amplitude modulated by the measured magnetic field. Traditionally, this magnetic signal's amplitude is then extracted through Fast Fourier Transforms (FFT). With this traditional method however, most of the measured signal consists of unwanted pick up, and large unchanging offset values resulting from both the circuit and any measurements, with the actual measured signal making up less than 1% of the ADC dynamic range. By designing a two-stage lock in amplifier, the signal is demodulated with respect to both the biasing signal and the AC magnetic signal, leaving only the DC component corresponding to the amplitude of the magnetic signal. The offset from this can then be subtracted, and further gain can be applied, allowing the full dynamic range of the measurement ADC to be utilised, while only measuring the changes in magnetic field strength resulting from the presence of any flaws in the measurement sample. This theoretically allows for smaller signals to be measured than is possible with the FFT method, provided that the signals are not lower than the noise floor of the measurement circuitry. An example of both FFT and early prototype lock in amplifier demodulation is demonstrated in this work. This method of signal demodulation also has the added benefit of decoupling the measurement parameters from the frequencies used in the biasing and magnetic signals, allowing for arbitrarily slow sample rates to be used in measurement. © 60th Annual conference of the British Institute of Non-Destructive Testing, NDT 2023.

关键词： Semiconductor quantum wells

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

ISBN: (数字)9781837242863

Smart sensors and medical health technologies are becoming increasingly popular due to their potential for real-time, non-invasive 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.

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Quantitative Analysis and Optimization of sensor Deployment for Enhanced Activity Recognition in Smart Home Environments: A Multidimensional Approach to Data-Driven Intelligence and Efficiency in Universal Computing Spaces

Quantitative Analysis and Optimization of Sensor Deployment ...

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Advancements in Power, Communication and Intelligent systems (APCI), International conference on

作者： Khalid Aziz Sakshi Dua Prabal Gupta Lovely Professional University Phagwara Punjab India

ISBN: (数字)9798350363289

ISBN: (纸本)9798350363296

This paper presents a comprehensive study on the enhancement of smart home automation and monitoring systems through the application of advanced activity recognition algorithms and sensor deployment optimization. We start by taking a CASAS dataset capturing a wide range of daily living activities, detected through an array of environmental sensors. This study conducts an in-depth analysis of activity recognition performance, leveraging precision, recall, and f1score metrics to identify areas for improvement in existing machine learning models. Further, we investigate sensor activation data to propose optimizations in sensor deployment, aimed at increasing the accuracy of activity recognition while reducing unnecessary sensor data processing. Through temporal analysis of activity patterns, we develop predictive models that forecast future activities with significant accuracy, facilitating smarter resource management and personalized automation strategies. This paper also explores the implications of our findings on user experience enhancement. Our methodology showcases the integration of machine learning techniques, statistical analysis, and practical considerations for deploying smart home technologies. The results indicate a promising avenue for future research and development in smart environments, with potential applications extending beyond residential settings to include healthcare facilities and office spaces. The findings underscore the importance of adaptive and intelligent systems in enhancing the quality of life through technology.

关键词： Adaptation models Automation Adaptive systems Statistical analysis Smart homes Machine learning Activity recognition

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Smart Agriculture Using Modern Technologies

Smart Agriculture Using Modern Technologies

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International conference on advanced Computing and Communication systems (ICACCS)

作者： N Shanmugasundaram G Santhip Kumar S Sankaralingam S Vishal N Kamaleswaran Department of Electronics and Communication Engineering Sri Eshwar College of Engineering Coimbatore India

Agriculture is a critical resource for survival of all living things on earth. Agriculture also provides most of the food and fabrics to the world. Environmental changes have impacted today’s agriculture and it has slowed down the productivity of crops. Shortage of water and pests are the major issue that mitigates the yield in agriculture. To sort out these issues, experts and researchers have proposed new processes and adoption of new technologies like Internet of Things (IoT), Smart sensors, Wireless sensor Networks (WSN), Image processing, Data analytics, Artificial Intelligence (AI) and Machine learning (ML) in agriculture in the last decade to make agriculture smart, easy and maximize the production with minimum resources. This paper studies the impact of new technologies and its applications in modern agriculture.

关键词： Smart agriculture Productivity Wireless sensor networks Image processing Process control Machine learning Agriculture

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HT-IDS:A Hybrid Trust Based Intrusion Detection System for Wireless sensor Networks

HT-IDS:A Hybrid Trust Based Intrusion Detection System for W...

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International conference on advanced Electrical Engineering (ICAEE)

作者： Ahmed Saidi Department of Mathematics and Computer Science Faculty of Exact Science University of Ghardaia Ghardaia Algeria

ISBN: (数字)9798350349351

ISBN: (纸本)9798350349368

Wireless sensor networks (WSN) are a continuously developing area of research with numerous applications. Despite their benefits, these networks present several challenges, including security problems. The trust factor is an effective strategy for securing the network against internal attacks and misbehaviour nodes. While several intrusion detection systems (IDSs) have been proposed, most of them consider either trust technique or anomaly detection technique. In this research, we suggested a hybrid intrusion detection system that takes anomaly detection techniques and trust factors into account. First, we proposed several criteria to model nodes' behaviours using multiple trust features. Then, we used the Support Vector Machine (SVM) algorithm to classify their behaviour in the network. Our simulation results demonstrate that our approach can effectively detect malicious nodes in the network.

关键词： Support vector machines Wireless communication Wireless sensor networks Simulation Intrusion detection Time measurement Security Communication system security Anomaly detection Standards

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The Internet of Bio-Nano Things — Smart Computing in the Human Body

The Internet of Bio-Nano Things — Smart Computing in the Hu...

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International conference on Smart Computing (SMARTCOMP)

作者： Stefan Fischer Institute of Telematics University of Lübeck Lübeck Germany

ISBN: (数字)9798350349948

ISBN: (纸本)9798350349955

The Internet of Bio-Nano Things (IoBNT) is an innovative field of research located at the intersection of nanotechnology, biotechnology and information and communication technologies. It aims to enable the seamless integration of biological and nanoscale systems into the Internet in order to develop advanced biomedical applications, environmental monitoring sensors and energy-efficient networks. At the core of IoBNT are biocompatible nanodevices that can function in living organisms to monitor or modify specific biological processes in real time. These devices communicate with each other and with the Internet to collect, process and transmit data, opening up entirely new possibilities for health monitoring, disease control, environmental protection and many other areas. By merging biology and nanotechnology, IoBNT promises to push the boundaries of what is technically possible while improving the efficiency and sustainability of technological solutions.

关键词： Merging Process control sensor systems and applications Nanoscale devices Real-time systems Organisms Internet

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Robust Flight Control Design Based on a sensor-based Backstepping Technique for Small Fixed-wing UAV

Robust Flight Control Design Based on a Sensor-based Backste...

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Artificial Intelligence, applications, Innovation and Ethics (AI2E), International conference for

作者： Mohamed Etewa Ehab Safwat Mohammed Abozied Hassan Abozied Mohamed Misbah Elkhatib Guidance Department Military Technical College Cairo Egypt Military Technological College Muscat Oman

ISBN: (数字)9798331513733

ISBN: (纸本)9798331513740

Small unmanned Aerial Vehicles (UAVs) become widely employed across various sectors, such as reconnaissance, surveillance, cargo delivery, and fire extinguishing. The effectiveness of UAV operations relies heavily on their precise and reliable flight control systems. The proposed research provides an in-depth examination of designing and implementing a flight controller for fixed-wing UAVs using the Backstepping (BKS) method. The study explores the theoretical underpinnings of BKS and its application to UAV control, focusing on overcoming the challenges associated with dynamic nonlinearities, and uncertainties inherent in UAV systems. Comprehensive simulations are performed to assess the performance of the proposed controller, showcasing its high accuracy and flexibility. The results highlight BKS's potential as an advanced nonlinear control strategy to enhance the performance and robustness of fixed-wing UAV operations in diverse applications.

关键词： Technological innovation Backstepping Uncertainty Surveillance Reliability theory Reconnaissance Autonomous aerial vehicles Robustness Vehicle dynamics Standards

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Smart Cover for Motor Vehicle with High Security System

Smart Cover for Motor Vehicle with High Security System

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Advancement in Electronics & Communication Engineering (AECE), International conference on

作者： Aman Kumar Vibha Kumari Basanta Mahato Taslima Ahmed Department of Electronics and Communication Engineering IIMT College of Engineering Greater Noida UP India

ISBN: (数字)9798350364729

ISBN: (纸本)9798350364736

The objective of a smart cover for motor vehicle with a high-security system alert is to provide comprehensive protection for the vehicle while leveraging advanced technology and innovative features. Such a car cover aims to shield the vehicle from external elements such as adverse weather conditions, dust, and potential physical damage. However, its key distinction lies in the incorporation of a high-security system, which includes features like real-time surveillance, alarm systems, and remote monitoring through mobile applications or connected devices. The primary goal is to deter theft, vandalism, and unauthorized access to the vehicle, ensuring the safety and security of the car and its contents. By combining the protective qualities of a car cover with cuttingedge security measures, this innovative solution offers peace of mind to vehicle owners and enhances the overall safety of their valuable assets.

关键词： Surveillance sensor phenomena and characterization Software sensor systems Real-time systems Security Automobiles Servers Remote monitoring Remote control

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