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Higher Reconstruction Performance with Dual Deep Neural Networks for Wireless sensor Networks Compressed Temporal Signals 12

Higher Reconstruction Performance with Dual Deep Neural Netw...

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12th IEEE International conference on Intelligent Data Acquisition and advanced Computing systems: Technology and applications, IDAACS 2023

作者： Rousseau, Sebastien Negrier, Romain Courreges, Fabien Engoti, Frank Itoua Quere, Raymond University of Limoges Xlim Institute Brive-la-Gaillarde19100 France NAIoBEE Company Brive-la-Gaillarde19100 France

ISBN: (纸本)9798350358056

In many applications using wireless sensor networks, the reliability of monitored data is crucial to analyze situations and take decisions. Compressed sensing methods are effective to ensure durability of a wireless sensor network installation and to overcome communication failures by drastically lowering the amount of data to transmit. The method proposed in this paper aims to perform an abstraction of the signals sparsity model required by compressed sensing in order to use a deep learning-based approach. This method is designed to be effective for all kinds of transient or temporally dynamic signals sufficiently regular to be predictable, that is to say signals that can be implicitly modelled by a sparse representation. Through the collaboration of two recurrent neural networks and signal processing algorithms, our temporal method outperforms, in terms of accuracy, state-of-art methods, including distributed compressed sensing, time series imputation and forecasting deep learning methods. Thus, high compression rates up to 95% can be reached while leading to an error of less than 0.5°C in reconstructing temperature signals. © 2023 IEEE.

关键词： compressed sensing deep learning recurrent neural networks signal processing algorithms wireless sensor networks

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Temperature-controlled laser hyperthermia using a custom designed 808-nm diode laser system integrated with an infrared array sensor 3

Temperature-controlled laser hyperthermia using a custom des...

引用

conference on Biomedical Spectroscopy, Microscopy, and Imaging iii

作者： Dizman, Batuhan Ruhi, Mustafa Kemal Bogazici Univ Inst Biomed Engn Istanbul Turkiye

ISBN: (纸本)9781510673311;9781510673304

Laser-induced hyperthermia (LH) is a treatment technique researched in multiple medical applications, including the treatment of warts and malignant tumors. Optimal laser energy delivery to target tissue is important to achieve an effective LH with minimal damage to healthy tissue. However, this can be challenging because optical properties may vary depending on tissue type and environmental factors. Therefore, real-time measurement of temperature is as important as dosimetry for a successful and safe LH application. In addition, the temperature measurement must be non-contact to minimize the risk of microbial contamination. In this study, we developed a temperature-controlled 808 nm diode-laser system that eliminates the risk of thermal damage and contamination by performing non-contact, real-time temperature measurements of the irradiated surface. The system is composed of an 808 nm c-mount diode laser, an infrared (IR) array sensor for temperature measurement, a PC, and an electronic control unit (ECU). The system was tested on phantoms and ex vivo tissues. According to the results, the temperature-controlled 808 nm diode-laser system could maintain the surface temperature of samples at the target temperature value.

关键词： Laser-induced hyperthermia temperature-controlled laser systems infrared array sensors

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A Self-Assembled Flexible Strain and Temperature sensor based on the Microstructure of Pyramids with High Elasticity, Temperature Sensitivity and Wide Range 38

A Self-Assembled Flexible Strain and Temperature Sensor base...

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38th IEEE International conference on Micro Electro Mechanical systems, MEMS 2025

作者： Yu, Yangtao Yan, Bo Cui, Wenbo Li, Mengqiu Li, Chenyuan Zang, Faheng Yang, Zhuoqing Shanghai Jiao Tong University National Key Laboratory of Advanced Micro and Nano Manufacture Technology Shanghai China Shanghai Jiao Tong University School of Electronic Information and Electrical Engineering Department of Micro/Nano Electronics Shanghai China Harbin Institute of Technology School of Electronics and Information Engineering Harbin China

ISBN: (纸本)9798331508890

Polymers have been extensively studied in the field of flexible sensors for wearable electronics. However, polymer-based flexible sensors still face great challenges in terms of sensitivity, sensing range and stretchable properties. This paper reports a novel self-assembled flexible strain and temperature sensor, constructed from NiO molecular spheres assembled between MXene flakes. This sensor exhibits exceptional temperature sensitivity, with a sensitivity up to -15.11%°C-1. It operates a broad temperature range(-20~60°C) and boasts a high measurement gauge factor(GF) of 6.57, along with a significant elongation at break exceeding 572%. Additionally, the sensor demonstrates an ultrahigh tensile strength of over 45 MPa. The microstructure of the sensor, featuring pyramidal formations, facilitates rapid testing capabilities. Furtherly, breathing cycle test under 0°C was performed, showing robust reliability. Furthermore, an array sensing circuit has been developed and designed to precisely measure spatial temperature distributions, enhancing utility of the sensor in various applications. © 2025 IEEE.

关键词： Tensile testing

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Soft Normal and Shear Force sensor for Underwater Robotic applications 5

Soft Normal and Shear Force Sensor for Underwater Robotic Ap...

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5th IEEE International conference on Flexible and Printable sensors and systems, FLEPS 2023

作者： Kamp, David Subad, Rafsan Al Shafatul Islam Park, Kihan University of Massachusetts Dartmouth Department of Mechanical Engineering DartmouthMA02747 United States

ISBN: (纸本)9781665457330

Tactile perception is a fundamental requirement to perceive and control the manipulation of an object via physical interaction. However, contemporary sensing technologies have some shortcomings in terms of directional force recognition such as inflexibility, intricate design, expensive fabrication methodology, and most importantly incompatibility with underwater applications. In this work, we report a facile and cost-effective methodology to build a soft and multi-directional force sensor especially focusing on its applicability in the underwater environment. The sensor consists of a silicone cover, a 3D printed pyramidal shape, piezo-resistive sensor nodes, and a silicone base. Whenever there is any force applied normal to the sensor, the pyramid shape would distribute the force equally to all the nodes and provide similar outputs from them whereas any other directional force would result in putting differential forces on the nodes and generate distinctive output patterns. The developed sensor was characterized experimentally and tested successfully for underwater demonstrations. © 2023 IEEE.

关键词： Silicones

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Interfacing and Testing High-Resolution, Video-Based Avionics and Mission systems that Use ARINC 818-3 42

Interfacing and Testing High-Resolution, Video-Based Avionic...

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IEEE/AIAA 42nd Digital Avionics systems conference (DASC)

作者： Keller, Tim Great River Technol Albuquerque NM 87113 USA

ISBN: (纸本)9798350333572

The complexity of modern mission and sensor systems continues to increase as the applications for video-based sensors become more demanding. Real-time, man-in-the-loop missions require higher levels of precision than previous class systems. This higher precision is achieved via higher-resolution, low-latency stereoscopic sensors and displays for better 3D performance. The new class of systems also sets the stage for removing the man-in-the-loop in favor of autonomous systems, for: aerial refueling;automatic targeting and tracking;and EO/IR ISR applications. The requirements of this new class of mission and sensor systems line up well with inherent features of the ARINC 818-3 (Avionics Digital Video Bus) protocol. Although some of these features have been defined in the specification for more than a decade, newer systems are just being developed that tap into some of the more advanced ARINC 818-3 features for the first time. For example: center dot 64B/66B encoding using new control characters and ensuring interoperability between independently developed systems center dot Video concentration and de-concentration of multiple sensors onto a single link, while maintaining frame synchronous timing center dot Support for 4K+ stereo displays, including robustness testing capabilities and considerations for channel skew center dot Support for new pixel modes, including YCbCr and Bayer encoding. center dot Stringent Stereo Display timing This paper provides lessons learned which highlight the tools and new test capabilities needed to develop and validate complex mission and video systems using multiple, high-speed EO/IR sensors and displays.

关键词： ARINC 818 avionics mission systems sensors displays data transfer switching video concentration video deconcentration

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Explaining, Analyzing, and Probing Representations of Self-Supervised Learning Models for sensor-based Human Activity Recognition

Explaining, Analyzing, and Probing Representations of Self-S...

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IEEE International Joint conference on Biometrics (IJCB)

作者： Khaertdinov, Bulat Asteriadis, Stylianos Maastricht Univ Maastricht Netherlands

ISBN: (纸本)9798350337266

In recent years, self-supervised learning (SSL) frameworks have been extensively applied to sensor-based Human Activity Recognition (HAR) in order to learn deep representations without data annotations. While SSL frameworks reach performance almost comparable to supervised models, studies on interpreting representations learnt by SSL models are limited. Nevertheless, modern explainability methods could help to unravel the differences between SSL and supervised representations: how they are being learnt, what properties of input data they preserve, and when SSL can be chosen over supervised training. In this paper, we aim to analyze deep representations of two recent SSL frameworks, namely SimCLR and VICReg. Specifically, the emphasis is made on (i) comparing the robustness of supervised and SSL models to corruptions in input data;(ii) explaining predictions of deep learning models using saliency maps and highlighting what input channels are mostly used for predicting various activities;(iii) exploring properties encoded in SSL and supervised representations using probing. Extensive experiments on two single-device datasets (MobiAct and UCI-HAR) have shown that self-supervised learning representations are significantly more robust to noise in unseen data compared to supervised models. In contrast, features learnt by the supervised approaches are more homogeneous across subjects and better encode the nature of activities.

关键词： Supervised learning

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Quantum-Enhanced AI Robotics for Sustainable Agriculture: Pioneering Autonomous systems in Precision Farming

Quantum-Enhanced AI Robotics for Sustainable Agriculture: Pi...

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2024 International conference on Artificial Intelligence and Quantum Computation-Based sensor applications, ICAIQSA 2024

作者： Khobragade, Prashant Dhankar, Praveen Kumar Titarmare, Abhijit Dhone, Mrunali Thakur, Shruti Saraf, Pranay G H Raisoni College of Engineering Dept of Computer Science and Engineering Nagpur India Pune India G H Raisoni College of Engineering Dept of Electronic and Telecommunication Engineering Nagpur India G H Raisoni College of Engineering Dept of DIC Nagpur India

ISBN: (纸本)9798331517953

Quantum computing, artificial intelligence (AI), and robots are all coming together to make sustainable agriculture possible by making it possible to build advanced self-driving systems for precision farming. This paper looks at how quantum-enhanced AI might be able to make farming much more productive, use resources more efficiently, and protect the environment. In traditional farming, old techniques are often still used, which can waste resources and hurt the environment. By combining quantum computing with AI and robotics, we can use the power of quantum algorithms to process huge amounts of agricultural data faster than with traditional systems. This makes it possible to create smart decision-making tools that increase crop yields while lowering costs and damage to the environment. Quantum computing has unmatched computer power, which makes it possible to analyze large files from a variety of sources, such as earth monitors, weather forecasts, and satellite images. Because of this feature, complex prediction models can be made that can accurately predict how crops will do in different situations. The paper study used suggested model along with AI to handle important farming jobs like planting, watering, and gathering by using robots with advanced sensors and machine learning algorithms. With the use of self-driving robots in farming not only makes operations more efficient, but it also cuts down on the need for physical labor, which helps the agricultural sector deal with its lack of workers. © 2024 IEEE.

关键词： Smart agriculture

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A Context-Aware Framework for sensor Placement Using PSO and Voronoi in Dynamic Scenarios 3

A Context-Aware Framework for Sensor Placement Using PSO and...

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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 Bose, Rajesh DUIET Dibrugarh University Dept. of CSE Assam Dibrugarh India DUIET Dibrugarh University Dept. of ECE Assam Dibrugarh India JIS University Dept. of CSE West Bengal India

ISBN: (纸本)9798331523893

When we deploy sensors, we face severe problems to achieve resilience and robust coverage. It happens more in stochastic and dynamic environments. In this paper, we propose a hybrid framework which is a combination of Particle Swarm Optimization (PSO) and Voronoi Diagram method with context aware adaptation to fix the challenges. The proposed framework balances initial distribution of sensors and iterative optimization to enhance coverage, maintain k-coverage (k=3) and adapt to evolving scenarios even under critical situations like sensor failures. Experimental results highlight the performance of the proposed framework across the key scenarios: comparing coverage with or without context aware optimization quantifying the impact of random node failures, tracking cumulative recovery attempts and evaluating final coverage percentage. The results reveal that this hybrid framework maximizes the coverage and provides resilience to sensor failures. It also reallocates resources dynamically to maintain optimal deployment. This framework is suitable for getting more efficiency and minimal iterations of recovery while enhancing the robustness of the network. It also enlightens the adaptability in sensor performance and becomes very popular in modern applications. © 2025 IEEE.

关键词： Particle swarm optimization (PSO)

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Energy Efficient Cognitive Wireless sensor Network for Loud Noise Detection 17

Energy Efficient Cognitive Wireless Sensor Network for Loud ...

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17th IEEE International conference on advanced Trends in Radioelectronics, Telecommunications and Computer Engineering, TCSET 2024

作者： Yatsenko, Anastasiia Parkhomenko, Anzhelika Tulenkov, Artem Wolff, Carsten Parkhomenko, Illia Pozdnyakov, Oleg National University «Zaporizhzhia Polytechnic» Software Tools Department Zaporizhzhia Ukraine Institute for the Digital Transformation of Application and Living Domains University of Applied Sciences and Arts Dortmund Germany

ISBN: (纸本)9798331520564

The development of small, autonomous sensor devices and their integration into wireless sensor networks has resulted in robust, easy-to-deploy and easy-to-operate systems that are used in a wide range of applications. However, despite the obvious advantages, a number of problems need to be solved to ensure their long-term and uninterrupted operation. One of them is energy efficiency and uniform distribution of energy between the network nodes. Studies have shown that cognitive wireless sensor networks are able to adapt to the state and conditions of networks, take into account aspects such as nodes energy levels, and act accordingly. Among the adaptive protocols, LEACH is considered to be quite effective as it helps to reduce the energy consumption of the network, however, the cluster head selection is based on random approach, which may not be the most efficient way. This paper proposes a modification of the cluster head selection method that allows taking into account the energy of each network node. This approach will help to equalize the energy consumption of nodes and optimize the network workflow as a whole, increasing its reliability and service life. © 2024 IEEE.

关键词： sensor nodes

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Innovating Smart Buildings and Cities Through Agent-Based Modeling, Discrete Event Simulation and sensor-Based Data Analytics 12

Innovating Smart Buildings and Cities Through Agent-Based Mo...

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12th IEEE International conference on Intelligent Data Acquisition and advanced Computing systems: Technology and applications, IDAACS 2023

作者： Lopinski, Juliane Sachweh, Sabine Muller, Claudia IDiAL Institute University of Applied Sciences and Arts Dortmund Dortmund Germany University Siegen Siegen Germany

ISBN: (纸本)9798350358056

The paper emphasizes the significance of sensor-based data analytics (SBDA) for modeling and simulation in a smart city, using the methods discrete event simulation (DES) and agent-based modeling (ABM). Moreover, the project reviewing paper presents several selected project examples, such as CitySim, AIRE, Smart Grid, and the Gotland project that demonstrate the potential of SBDA in smart buildings and urban systems and analyse possible advantages of the application of the SBDA method. Furthermore, the result table demonstrates the possibilities of using SBDA in ABM and DES in other sectors, thus obtaining accurate results in a modeling system in the future. These findings have significant implications for policymakers, urban planners, and stakeholders in smart city development who seek to enhance the quality of life for urban citizens. The paper contributes to a better understanding of advantages of using sensor-based data analysis in ABM and DES and the method's potential benefit for other sectors. It provides a basis for analysis on some methodologies in the field of smart cities and buildings. It is intended to serve as an overview for future researchers and to contribute to the understanding of general concepts of research institutions. © 2023 IEEE.

关键词： efficiency modelling simulation smart city systems

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