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International conference on Energy, Power and Environment: Towards Sustainable Growth (ICEPE)

作者： Abhishek Chaudhary Koshal Nikita Rana Mohd Arman Electrical Engineering Department Delhi Technological University DTU New Delhi India

ISBN: (数字)9798350379297

ISBN: (纸本)9798350379303

This project aims to develop an advanced and cost-effective solution to enhance safety in various environments by preventing collisions between objects. Employing Arduino microcontrollers and a range of sensors, the system operates in real-time to identify obstacles and take immediate corrective actions. Key components include ultrasonic sensors for accurate distance measurement, an Arduino microcontroller for data processing, and actuators such as motors or servos for executing avoidance maneuvers. By analyzing sensor data, the Arduino assesses obstacle proximity and triggers suitable responses to avoid collisions. The project introduces a flexible and scalable framework suitable for integration into different applications, including robotics, autonomous vehicles, and smart environments. Moreover, emphasis is placed on user-friendly customization, allowing end-users to adjust system parameters and behaviors according to specific requirements. Addressing the growing need for safety solutions in autonomous systems, robotics, and IoT applications, the Collision Avoidance System represents a significant advancement in reliable collision avoidance technologies. By providing an accessible and adaptable platform, the project facilitates the development of technologies that can reduce accidents, enhance operational efficiency, and promote the widespread adoption of autonomous systems across various domains.

关键词： Microcontrollers Decision making Robot sensing systems Real-time systems sensor systems Energy efficiency Distance measurement

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Evaluating the Performance of IEEE 802.15.4g for Smart City applications

Evaluating the Performance of IEEE 802.15.4g for Smart City ...

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2025 IEEE International conference on Consumer Electronics, ICCE 2025

作者： Arcot, Pavithra Dhivya, G. Inti, Kartheek Kumar, Nalla Kranthi Krishna, Konisetti Murali V. Babu, Karuturi Gopal Dennis Joshua, D. Poonguzhali, P. IoE & Embedded Systems Group Centre for Development of Advanced Computing Chennai India Department of ECE Amrita Vishwa Vidyapeetham Chennai India

ISBN: (纸本)9798331521165

The demand for Low Power Wide Area Network (LPWAN) solutions stems from the need for low data rate, long-range, and energy-efficient connectivity. LPWAN technologies are ideally suited for Smart City applications, where small amounts of data are transmitted infrequently over extended distances. Proprietary LPWAN technologies like LoRa, Sigfox, and Ingenu often require dependence on a specific company's infrastructure and ecosystem. In contrast, open LPWAN standards offer significant benefits, including enhanced interoperability, cost savings, flexibility, and innovation. They foster market competition, reduce reliance on individual vendors, and support the development of a diverse, compatible ecosystem of IoT devices and services. IEEE 802.15.4g is an open LPWAN standard that provides several advantages over proprietary LPWAN technologies. This paper provides a performance analysis of IEEE 802.15.4g in outdoor environments. The study assesses the performance by measuring the packet error rate (PER) in various outdoor conditions. The results of the PER measurements are used to establish the maximum communication range between the transmitter and receiver. © 2025 IEEE.

关键词： IEEE 802.15.4g Low Power Wide Area Network (LPWAN) Packet Error Rate (PER)

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Integrating Photonics and Fiber Bragg Grating sensors with Deep Reinforcement Learning for advanced Robotic systems

Integrating Photonics and Fiber Bragg Grating Sensors with D...

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International conference on Computing for Sustainable Global Development (INDIACom)

作者： T Subaranjani R Jaideep C Manjula V Seema Dept. of Artificial Intelligence and Machine Learning The Oxford College of Engineering Bangalore India Dept. of Mechatronics Engineering The Oxford College of Engineering Bangalore India

This research introduces the Photonics-Enhanced Embedded Robotic Intelligence Model (PEERIM), an innovative approach that integrates fiber Bragg grating (FBG) sensors with photonics and deep reinforcement learning (DRL) for advanced robotics applications. Addressing the limitations of current AI models in dynamic and complex environments, PEERIM leverages the rapid data transmission capabilities of photonics to process high-frequency sensor data, enabling real-time decision-making and enhanced automation. The methodology encompasses the development and integration of a variant of the Proximal Policy Optimization (PPO) algorithm, tailored to manage the continuous data stream and execute precise, adaptive control. The proposed model has been empirically evaluated, demonstrating a significant improvement in handling real-time sensor data with an average reward of 99.02 and a low average loss of 0.099, indicating robust performance and learning stability. These findings suggest that PEERIM provides a substantial advantage over existing AI-driven robotic systems, offering a scalable solution for a variety of challenging applications. The study’s contributions lay the groundwork for future advancements in autonomous systems, promising a new era of precision and reliability in robotics.

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Preface: The 1^st International conference on advanced Computing, systems and applications (InCASA 2023)

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AIP conference Proceedings 2024年第1期3135卷 010001-010001页

作者： Ku Azir, Ku Nurul Fazira

Preface: The 1st International conference on advanced Computing, systems and applications (InCASA 2023), AIP conference Proceedings, Volume 3135, Issue 1,

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Ultra-sensitivity in reconstructed exceptional systems

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National Science Review 2024年第12期11卷 142-149页

作者： Tian Chen Deyuan Zou Zilong Zhou Ruiguo Wang Yue Feng Houjun Sun xiangdong Zhang Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements of Ministry of Education Beijing Key Laboratory of Nanophotonics &Ultrafine Optoelectronic Systems and School of Physics Beijing Institute of Technology School of Mechatronical Engineering Beijing Institute of Technology Beijing Key Laboratory of Millimeter Wave and Terahertz Techniques and School of Information and Electronics Beijing Institute of Technology

sensors are of fundamental importance and widely used in modern society, such as in industry and environmental monitoring, biomedical sample ingredient analysis and wireless networks. Although numerous sensors have been developed, there is a continuous demand for sensors with increased sensitivity,to detect signals that were previously undetectable. Recently, non-Hermitian degeneracies, also known as exceptional points(EPs), have attracted attention as a way of improving the responsiveness of sensors. In contrast to previous investigations, here we present a new approach to achieving ultra-sensitivity by reconstructing exceptional systems. In the reconstruction process, some eigenstates near the previous EPs are utilized, and non-reciprocal long-range couplings are introduced. The sensitivities of our reconstructed systems have improved by several orders of magnitude compared to those based on EPs. Furthermore, we design and fabricate corresponding integrated circuit sensors to demonstrate the scheme. Our work paves the way for the development of highly sensitive sensors, which have a wide range of applications in various fields.

关键词： ultra-sensitivity sensor non-Hermitian reconstructed exceptional system long-range coupling circuit network

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Wearable sensors for Remote Health Monitoring: Potential applications for Early Diagnosis of Covid-19

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advanced MATERIALS TECHNOLOGIES 2022年第1期7卷 2100545页

作者： Mirjalali, Sheyda Peng, Shuhua Fang, Zhijian Wang, Chun-Hui Wu, Shuying Macquarie Univ Sydney Sch Engn Sydney NSW 2109 Australia Univ New South Wales Sch Mech & Mfg Engn Sydney NSW 2052 Australia Santevat Pty Ltd Melbourne Vic 3204 Australia

Wearable sensors are emerging as a new technology to detect physiological and biochemical markers for remote health monitoring. By measuring vital signs such as respiratory rate, body temperature, and blood oxygen level, wearable sensors offer tremendous potential for the noninvasive and early diagnosis of numerous diseases such as Covid-19. Over the past decade, significant progress has been made to develop wearable sensors with high sensitivity, accuracy, flexibility, and stretchability, bringing to reality a new paradigm of remote health monitoring. In this review paper, the latest advances in wearable sensor systems that can measure vital signs at an accuracy level matching those of point-of-care tests are presented. In particular, the focus of this review is placed on wearable sensors for measuring respiratory behavior, body temperature, and blood oxygen level, which are identified as the critical signals for diagnosing and monitoring Covid-19. Various designs based on different materials and working mechanisms are summarized. This review is concluded by identifying the remaining challenges and future opportunities for this emerging field.

关键词： blood oxygen level body temperature Covid-19 health monitoring respiratory rate wearable sensors

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Intelligent Multimodal sensors Based on Novel Electronic-Ionic Bi2O2Se Semiconductors 15

Intelligent Multimodal Sensors Based on Novel Electronic-Ion...

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15th IEEE International conference on ASIC, ASICON 2023

作者： Guo, xinrui xu, Lei Cai, Qifeng Liu, Shuo Liu, Junling He, Ming Peking University School of Integrated Circuits Beijing100871 China Peking University Frontiers Science Center for Nano-Optoelectronics Beijing100871 China

ISBN: (纸本)9798350312980

In light of the data surge during the Internet of Things (IoT) era, we have been developing intelligent multi-modal sensors based on the novel 2D electronic-ionic Bi2O2Se semiconductors to in-situ detect and process information in more accuracy and efficient ways. We scrutinized the physical mechanisms of multi-dimensional carrier transport within Bi2O2Se interlayers. Then we successfully fabricated high-performance thermal-bolometric multi-mode sensors tailored for intelligent sensing. Moreover, we developed an advanced signaling processing method to distinguish multi-modal outputs. We also rationally designed logic-in-sensor devices for both single-modal and multi-modal applications. © 2023 IEEE.

关键词： Bi2O2Se logic in sensor multimodal sensing

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2nd International conference on Advances in VLSI and Embedded systems, AVES 2021

2nd International Conference on Advances in VLSI and Embedde...

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2nd International conference on Advances in VLSI and Embedded systems, AVES 2021

ISBN: (纸本)9789811967795

The proceedings contain 22 papers. The special focus in this conference is on Advances in VLSI and Embedded systems. The topics include: Pneumatic Calibrator for Heterodyne Interferometer;Real-Time Object Detection and Recognition for the Visually Impaired: A YOLOv3 Approach;Design of an Autonomous Agriculture Robot for Real-Time Weed Detection Using CNN;Design and Implementation of IoT-Based System for Tracking and Monitoring of Suspected COVID-19 Patient;Ambipolarity Property in Tunnel FET to Sense High Bit Rate Signals;assessing Effect of Variability in Nano-Scale Futuristic On-Chip Interconnects;Impact of Channel Parameters on the Performance of Dielectrically Modulated JL-DG-MOSFET Biosensor;Design of a TFET-Based Temperature Invariant LDO Voltage Regulator;a Heuristic Algorithm for Module Placement in Digital Microfluidic Biochips;design of Low Power Modular (x mod p) Reduction Unit Based on Switching Activity for Data Security applications;A Comprehensive Analysis in Recent Advances in 3D VLSI Floorplan Representations;radiation sensor Design for Mitigation of Total Ionizing Dose Effects;Adaptive Memetic Algorithm on Novel CBLSP Algorithm for O-Tree Implementation;Systematic Analysis of Linearization Techniques for Wideband RF Low-Noise Amplifier;Analysis and Modification of Low Power and High Speed 9T SRAM Cell;Investigating the Impact of Schmitt Trigger on SRAM Cells at 32 nm Technology Node for Low Voltage applications;novel Approximate 4:2 Compressor for Multiplier Design;approximate Computing-Based Unsigned Multipliers for Image Processing applications;a Feed-Forward Gain Enhancement Technique in a Narrow-Band Low Noise Amplifier Using Active Inductor;A Fully On-Chip Tunable Impedance Matching Strategy for Maximum Power Transfer in RF Energy Harvesting systems.

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Prefabrication Analysis and Numerical Modeling of Freely Supported MEMS Piezoresistive Pressure sensor Employing Square Shaped Silicon Diaphragm 20

Prefabrication Analysis and Numerical Modeling of Freely Sup...

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20th IEEE India Council International conference, INDICON 2023

作者： Kanekal, Dadasikandar Jindal, Sumit Kumar Vellore Institute of Technology School of Electronics Engineering Vellore India

ISBN: (纸本)9798350305593

Micro-electromechanical systems (MEMS) based piezoresistive sensors have significant applications in the engineering world like the Internet of Things, electronics, and the industrial world like power plants. Fabrication of these sensors can prove to be a very serious undertaking and failing to notice basic engineering and mathematical flaws before the fabrication process can set back the researchers both financially and in terms of time. The proposed work aims to perform the mathematical analysis and modeling of the square shape configured piezoresistive sensor with silicon's sensing material and to achieve the best possible configuration of the sensor mentioned in a Wheatstone bridge to predict the most optimized way to fabricate the sensor. Due to their excellent signal- to-noise ratio and consistent repeatability in their fabrication structure and responses, silicon materials are useful when touch sensitivity is critical. This work analyzes the variation of deflection, stress, strain, and pressure in a square plate with a freely supported edge as a function of x and y coordinates. The proposed work analyzes the parameters for the piezoresistive material to sense the pressure accurately and precisely. The simulation of the different parameters has been done in three dimensions using MATLAB to get a clear intuition of the variation of each parameter with the coordinates of different points on the plate. Mathematical modeling of these different parameters and the differences in the quarter and half-bridge Wheatstone bridge configurations have also been done to get a clear picture before moving on to the further steps of fabrication providing high sensitivity and accuracy. © 2023 IEEE.

关键词： freely supported edge MATLAB MEMS piezoresistive pressure sensor silicon square diaphragm

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Recent advances in gas and environmental sensing: From micro/nano to the era of self-powered and artificial intelligent (AI)-enabled device

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MICROCHEMICAL JOURNAL 2022年 181卷

作者： Zhu, Jianxiong Wen, Haiying Fan, Yingjie Yang, xiuli Zhang, Hui Wu, Wenyu Zhou, Yijun Hu, Haibing Southeast Univ Sch Mech Engn Nanjing 211189 Peoples R China Yancheng Inst Technol Key Lab Adv Technol Environm Protect Jiangsu Prov Yancheng 224051 Peoples R China Minist Educ Engn Res Ctr New Light Sources Technol & Equipmen Nanjing 211189 Peoples R China Wuhan Univ Technol State Key Lab Adv Technol Mat Synth & Proc Wuhan Peoples R China Hefei Univ Technol Sch Instrument Sci & Optoelect Engn Hefei 230009 Peoples R China

Gas and environmental parameters monitoring is a hot research topic along with the technology development trends of the Internet of Things and smart systems (aiming for an early and accurate detection). To introduce next-generation gas sensors, this review paper reported gas electronics from micro/nano to the era of a self-powered and artificially intelligent system. To figure out the development trends of gas sensing, four key issues needed to be noted including micro/nanostructures, multi-functional purpose, assisted self-powered/zero power, and the machine learning-enhanced methodology. To increase sensitivity/early detection and to produce chip-level units, various micro/nanostructures manufacturing technologies were introduced to assist the sensitivity of gas sensors. Flexible 2-D materials and various mechanisms were reported to aim for the detection of extra-low concentrations and mechanically robustness for multi-functional applications. With the aid of the triboelectric/piezoelectric mechanism, the gas devices were widely adopted in environmentally friendly electronics. Moreover, facing the developmental trends in machine learning and sustainable system, smart gas detection with robustness and early/low concentration for medical and healthcare applications was the next engine trend. This review paper not only concluded the development trends of the next-generation gas sensor but also point out the era of the self-powered and artificially intelligent system in gas monitoring.

关键词： Gas sensor Flexible electronics Self-powered sensor Artificial intelligence Environmental sensing

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