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Air Quality Prediction and Monitoring using Machine Learning Algorithm based IoT sensor- A researcher's perspective 6

Air Quality Prediction and Monitoring using Machine Learning...

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6th IEEE International conference on Communication and Electronics systems, ICCES 2021

作者： Kalaivani, G. Mayilvahanan, P. Vels Institute of Science Technology and Advanced Studies Department of Computer Science

ISBN: (纸本)9781665435871

Air Pollution (AP) is one of the serious and major environmental problem worldwide. Many researchers have drawn attention and have focused about these problems keeping in mind human health. Air quality prediction information is one of the better ways through which people can be informed to be more vigilant about serious health issues and protect human health caused by air pollution. In many metropolitan cities air pollution is a major challenging environmental issue. To analyze the present traffic condition of the city, local authorities can be enabled by real time monitoring of pollution data which makes appropriate decisions. Hence an early system is required for monitoring and calculating the level of AP using Air Quality (AQ) which is essential for predicting exactly the pollutant concentrations. The prediction of AQ can be improved by deploying Internet of Things (IoT) based sensor which are considerably changing the prediction of AQ dynamically. The prediction of AP discussed and estimated using many existing techniques are very expensive and have very low accuracy. The technological advancement of Machine Learning (ML) algorithm can be very fast increasing and searching almost all fields and applications whereas AP prediction has not prohibited from those fields. This paper describes about various studies of ML algorithm relating to AP prediction and monitoring based on the IoT sensor data in the context of various cities. This paper also summaries real time and historical data based on the AQ prediction models tools and techniques and describes about recent research methodologies merits and demerits of AQ prediction, along with the challenges based on real time monitoring and prediction of AQ. © 2021 IEEE.

关键词： Internet of things

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Development of an Efficient Charging Control System for Pico-Hydro Power Generation Utilizing Multiple Impact Water Wheel (MIWW) with MPPT Control

Development of an Efficient Charging Control System for Pico...

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International conference on Renewable Energy Research and applications (ICRERA)

作者： Yusuke Asami Hiroshi Takami Fuminori Ishibashi Shota Kawate Hidemi Kurita Masaki Shimizu Graduate School of Electrical Eng. and Computer Science Shibaura Institute of Technology Tokyo Japan Dept. of Electrical Eng. and Robotics Course College of Engineering Shibaura Institute of Technology Tokyo Japan Dept. of Electrical Eng. Faculty of Engineering Shibaura Institute of Technology Tokyo Japan Koa Electronics Co. Ltd. Nagano Japan Harmony with Nature Technology Laboratory Nagano Japan Souken Group Nagano Japan

ISBN: (数字)9798350375589

ISBN: (纸本)9798350375596

This paper introduces an advanced charging control system for a Multiple Impact Water Wheel (MIWW) used in pico-hydropower generation. The control system maximizes energy conversion efficiency by employing a Maximum Power Point Tracking (MPPT) algorithm, which dynamically adjusts the system's operation based on real-time voltage and current measurements. Unlike traditional methods that rely on monitoring rotational speed, this approach simplifies the system by eliminating the need for speed sensors, thereby reducing costs and enhancing reliability. The control system is structured into four main operational phases: the water turbine acceleration phase, optimal control (MPPT) phase, drooping characteristic suppression phase, and overvoltage protection phase. Each phase is designed to optimize distinct aspects of system performance, ensuring stable and efficient power generation under varying water flow conditions. Experimental validation was conducted by subjecting the system to three different water pressure levels (0.036 MPa, 0.048 MPa, and 0.042 MPa). The results demonstrate that the system successfully maintained stable voltage and current, even during rapid fluctuations in water pressure, confirming the effectiveness of the proposed MPPT algorithm. By addressing the challenges of droop characteristics and overvoltage conditions, the control system ensures the reliability and efficiency of pico-hydropower systems. This research contributes to the development of cost-effective, efficient, and sustainable energy solutions, especially in regions lacking conventional power infrastructure.

关键词： Maximum power point trackers Water Fluctuations Heuristic algorithms Velocity control Wheels sensor systems Voltage control Power generation Turbines

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National Virtual conference on advanced Informatics, Electronics and Vision 2021, NCAIEV 2021

National Virtual Conference on Advanced Informatics, Electro...

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National Virtual conference on advanced Informatics, Electronics and Vision 2021, NCAIEV 2021

The proceedings contain 30 papers. The topics discussed include: time borrowing flip-flop architecture for error masking in near threshold voltage regime;performance analysis of deep learning architectures for super resolution;compactible level measurement and forewarning in petrol station;secure and efficient fire-fly data routing algorithm for wireless sensor networks in IoT monitoring systems;non – clinical pain assessment system – a pilot study;a comprehensive analysis of multimodal speech emotion recognition;low power and efficient floating-point architecture for division and square root;performance analysis of InP based composite channel e-mode HEMT device for high frequency applications;razor flip-flop based detector/corrector system for correcting timing violations in digital circuits;and infant action database: a benchmark for infant action recognition in uncontrolled condition.

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A Fully-Integrated Wireless Ingestible Drug Delivery Chip with Electrochemical Energy Harvesting and pH-Based MPPT

A Fully-Integrated Wireless Ingestible Drug Delivery Chip wi...

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Custom Integrated Circuits conference (CICC)

作者： So-Yoon Yang Deniz Umut Yildirim Saransh Sharma Donghyeon Han Rishabh Mittal Husna Ellis Jaehong Jung Eunseok Lee Yubin Cai Giovanni Traverso Anantha P. Chandrakasan Massachusetts Institute of Technology USA Chung-ang University Republic of Korea MediaTek USA

ISBN: (数字)9798331517458

ISBN: (纸本)9798331517465

Advances in personalized medicine are spurring the development of ingestible electronics for controlled, on-demand drug delivery in the gastrointestinal (GI) tract, enhancing therapeutic efficacy further beyond traditional oral pills. These systems rely on electronically controlled drug release actuation mechanisms, like micropumps [1] and reservoir-based designs [2], for precision dosing [3], [4]. However, they often require substantial energy and space [5]. While conventional batteries have powered ingestible electronics, they pose challenges due to their bulkiness, limited energy density, and safety risks associated with toxic materials [6], [7]. Consequently, battery-free energy harvesting solutions and energy-efficient drug delivery actuation mechanisms are crucial for progress in this field. Among other energy-harvesting methods, such as thermal or vibrational energy harvesters, a galvanic cell (GC), which converts chemical energy from acidic GI fluid, is particularly well-suited for high-power applications like drug delivery [6]. However, the maximum power point (MPP) of GC is a nonlinear function of pH and opencircuit voltage [2], necessitating the sampling of real-time pH data of the GI fluid to perform maximum power point tracking (MPPT) for efficient energy harvesting. For drug delivery, a reservoir-based system sealed with an electrochemically dissolvable metal membrane offers a compact design and protection of sensitive payloads such as unstable drugs from the harsh environment of the GI tract [2], [8]. However, the activation voltage for dissolving the metal membrane of the reservoirbased systems also varies with pH, further highlighting the need to sample the GI pH in real-time [9].

关键词： Maximum power point trackers Drugs Wireless communication Wireless sensor networks Fluids Metals Voltage Drug delivery Real-time systems Energy harvesting

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Artificial Intelligence Techniques for the wireless wearable Smart Healthcare Prediction System applications

Artificial Intelligence Techniques for the wireless wearable...

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Electronics and Renewable systems (ICEARS), International conference on

作者： Padma A. Gaddam Venkat Reddy G. Ramachandran Department of Mathematics Chaitanya Bharathi Institute of Technology Hyderabad Telangana India JIGJIGA JIGJIGA University Ethiopia Vinay aka Mission’s Kirup Ananda Variy ar Engineering College Vinayaka Mission’s Research Foundation (Deemed to be University) Salem

The use of AI technology is crucial for creating efficient healthcare apps. The development of the healthcare prediction process can be aided by the specification of numerous efficient software programmers. When creating intelligent healthcare applications, machine learning and cloud computing are crucial components. Various health care data can be gathered and analyzed to help with timely answers. In the process of identifying and forecasting diseases, AI is also very important. This efficient intelligent method can aid in the precise disease detection. Utilizing AI and ML Techniques to Transform the Healthcare System. Artificial intelligence (AI) has quickly advanced in the present in terms of the demands of computerised methodology, hardware implementations, and approaches in many *** Wireless wearable sensors can be used to monitor each person's behaviour. Through the use of neural networks, body sensors can assist in the detection of motions and facial expressions. It also includes a variety of technological advancements that are used to develop the computing and data mining processes. This study primarily examines how well different effective technologies perform when used to create healthcare prediction systems. AI makes use of many sensors to increase the effectiveness of healthcare. The health care system is significantly impacted by another research theme. Machine learning can assist in supplying modeling techniques to ascertain the biomedical products' flaws. Wireless sensors offer the ability to monitor behavior by gathering up-to-date environmental information

关键词： Wireless communication Wireless sensor networks Medical services Transforms Artificial intelligence Biomedical monitoring Intelligent sensors

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Routing Protocols in Wireless sensor Networks: A Comprehensive Review and Future Perspectives

Routing Protocols in Wireless Sensor Networks: A Comprehensi...

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International conference on Contemporary Computing and Informatics (IC3I)

作者： Puneet Kaur Kiranbir Kaur Deepak Kumar Verma Kuldeep Singh Keshav Kaushik Vineeta Singh Department of Computer Engineering & Technology Guru Nanak Dev University Amritsar Punjab India Department of Computer Science and Engineering School of Engineering and Technology (Formerly known as UIET Kanpur) Chhatrapati Shahu Ji Maharaj University Kalyanpur Uttar Pradesh India Department of Electronics Technology Guru Nanak Dev University Amritsar Punjab India Amity School of Engineering and Technology Amity University Mohali Punjab India

ISBN: (数字)9798350350067

ISBN: (纸本)9798350350074

Wireless sensor Networks (WSNs) have significantly transformed diverse domains such as industrial automation, healthcare, disaster management, and environmental monitoring. The complex interaction of routing protocols, essential for enabling smooth data transport despite the specific difficulties in WSN environments, is the core of their success. The objective of this study is to get a accurate understanding of routing algorithms specifically projected for wireless sensor networks. Expanding upon the essential features and significant disputes faced in WSN systems, admitting limited energy resources, bandwidth constraints, and node processing capabilities, the discussion accentuates the significance of effective routing protocols. Furthermore, it thoroughly analyzes many forms of routing protocols, including basic hierarchical and flat schemes, as well as advanced location-based and data-centric protocols. The protocol category is thoroughly examined, uncovering its unique benefits, limitations, and suitability for various WSN applications. Furthermore, the review reveals the latest developments and upcoming trends in WSN routing protocols, brooding areas such as energy efficiency, dependability, scalability, and adaptive resilience to changing network considerations. In conclusion, the evaluation furnishes a forward-looking view by outlining potential research areas and possible pathways for meliorating the designs of WSN routing protocols. The main goal is to heighten the efficacy and practicality of WSNs. In this work, we examined a number of routing algorithms according to important criteria including mobility, scalability, energy efficiency, and Quality of Service (QoS). We looked at how each method handles node mobility, performs as the network expands, guarantees dependable data transmission, and optimizes energy use. We also looked at ways for choosing the cluster head (CH), energy-saving data aggregation strategies, redundancy-reduction mechanisms, and the

关键词： Wireless sensor networks Reviews Scalability Clustering algorithms Quality of service Medical services Routing Routing protocols Energy efficiency Resilience

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Intelligent Car Parking System Using WSN

Intelligent Car Parking System Using WSN

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Wireless and Optical Technologies (GCWOT), 2020 Global conference on

作者： Steve Azarsh Ratti Nasrullah Pirzada Syed Mohammad Ali Shah Anjum Naveed Department of Telecommunication Engineering Mehran University of Engineering & Technology Jamshro Hyderabad Pakistan Dept. Department of Telecommunication Engineering Mehran University of Engineering & Technology Hyderabad Pakistan Mehran University of Engineering & Technology Hyderabad Pakistan Dept. Of Computer Science & Technology Hazara University Mansehra Mansehra Pakistan

Numerous technologies are constantly being created due to the rapid rise in the standardization and automation of operational and management systems. It simplifies procedures and allows microelectronics technology to advance more often. It was managed by an Android app and controlled by sensor networks and parking systems. The wireless sensor network manages parking spot management, parking lot reservations, vehicle navigation, and other complex circumstances. This study suggests a wireless sensor network-based and android app-based intelligent parking system. sensors installed beneath enable the cutting-edge parking system to function. The research suggests an intelligent parking system that uses wireless sensor networks and IR, magnetic, and light sensors. The ground-level sensors used by the advanced parking system function. The base station receives the node/slot information, and the base station delivers data to FTP. At the user’s request, FTP transmits details about nodes and spaces to mobile devices. The idea came from using an IoT application to control the automobile parking system, which is crucial to our daily lives. For this purpose, a mobile application for Android called Smart Parker was developed. It provides information about a parking lot, such as available or reserved spaces. sensors at the base station will send information about parking spaces to the FTP server. The user of the innovative payment system is required to pay to park the car. Cash is first collected using cash counters, but maintaining them is challenging. Later, different methods are employed to collect the payment. The payment is made by an Automated Vehicle Identification (AVI) tag using RFID technologies. Smart, debit, and credit cards are contact methods, whereas RFID technology and mobile devices are contactless alternatives. The smart parking system on FPGA (Finite State Machine Modeling) works on two main modules, i.e., the identification module and slot checking module. The

关键词： Wireless communication Space vehicles Wireless sensor networks Base stations Aerospace electronics Mobile applications Automobiles

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2nd International conference on Agricultural-Centric Computation, ICA 2024

2nd International Conference on Agricultural-Centric Computa...

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2nd International conference on Agricultural-Centric Computation, ICA 2024

ISBN: (纸本)9783031744396

The proceedings contain 26 papers. The special focus in this conference is on Agricultural-Centric Computation. The topics include: Enhancing Horticulture Field Security: Intruder Detection Utilizing Wi-Fi-CSI Technology with ESP32 Modules;Negative Affective State Vocalization Analysis of Dairy Cattle Using 3D MFCC Features with CNN-LSTM Model on an Edge Device;comparative Analysis of Machine Learning Based Soil pH Prediction Using Spectral Bands and Indices;Fruit Detection Using DepthAI and Convolutional Block Attention Module;KrishiAI: Architecture for Harnessing Capabilities of LLMs for Delivery of Accurate Cultivation Information to Farmers;Detection of Potato Leaf Diseases Using PSOK Image Segmentation and CNN Model;application of Industry 4.0 for Enhancing Climate Compliant Irrigation System in Agriculture;ambiTag Blue: Bluetooth Low Energy Based Environment Monitoring and Data Logging Solution;BLE Receiver Antenna Design for Monitoring and Sensing applications;digital Entomology sensor for advanced Biodiversity Monitoring and Precision Agriculture;a Novel Autonomous Bird Deterrent System for Crop Protection Using Drones;blockchain-Powered Smart Agriculture: Harnessing Cyber-Physical systems to Enhance Farmer Profits;design of IoT Enabled Smart sensor System for In-situ Black Pepper Plant Health Monitoring Using Deep Learning Model;Machine Learning Based Approach to Detect Adulteration in Turmeric Using RGB and Thermal Images;modeling and Analysis of Thermal Dynamics of Polyhouses for Precision Agriculture;ioT Enabled Irrigation for Roadside Plantation;UAV-Borne Hyperspectral Imaging Dataset of Pearl Millet Canopy Water Stress;enhancing the Explainability and Interpretability of Crop Yield Prediction Models Through Precision Agriculture;investigating the Segment Anything Model for Crop Head Counting in Cereal Crops;real Time Detection and Classification of Strawberry Developmental Stages Using Deep Learning: A Technological Approach for Precision Agriculture;a

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Radio Jamming in Vehicle-to-Everything Communication systems: Threats and Countermeasures

Radio Jamming in Vehicle-to-Everything Communication Systems...

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International conference on Transparent Optical Networks

作者： Antonio S. Da Silva João Paulo J. Da Costa Giovanni A. Santos Zohair Miri Muhammad I. B. M. Fauzi Alexey Vinel Edison P. de Freitas Kira Kastell Hamm-Lippstadt University of Applied Sciences (HSHL) Hamm Germany Graduate School for Applied Research in North Rhine-Westphalia (PK NRW) Bochum Germany Karlsruhe Institute of Technology (KIT) Karlsruhe Germany Federal University of Rio Grande do Sul (UFRGS) Porto Alegre Brazil Faculty UnB Gama University of Brasília Brazil

More than 1.35 million lives are lost due to traffic accidents, with 94% of these accidents caused by human error. In order to significantly improve the traffic safety and efficiency, automated driving systems, including advanced Driver Assistance systems (ADAS) and autonomous driving, exchanges sensor and perception data between the automated vehicle and its surrounding objects via Vehicle to Everything (V2X) communication. Although V2X technologies, such as dedicated short-range communication (DSRC) and cellular vehicle-to-everything (C-V2X), are essential for the safety in certain driving use cases, they may completely fail in the presence of radio interference. Therefore, the development of robust V2X systems to deal with radio jamming in automated driving applications is crucial. In this paper, we present scenarios of the radio jamming attacks considering traditional driving use cases of V2X systems and we propose countermeasures against these attacks. Using a simulation environment, we validate the proposed countermeasures mitigating the effects of radio jamming.

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CMOS-Compatible Time-of-Flight 3D Imaging sensors and systems 14

CMOS-Compatible Time-of-Flight 3D Imaging Sensors and System...

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14th IEEE International conference on ASIC, ASICON 2021

作者： Dai, Shun-Qi Estrada, Cristine Jin Xiong, An-Nan Xu, Chen Yuan, Jie George Chan, Mansun The Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Hong Kong Hong Kong

ISBN: (纸本)9781665411493

This paper describes the operation principle of Time-of-Flight (ToF) sensors and systems for 3D imaging. It starts with an overview of the simplest ToF sensors formed by traditional photogate and pinned photodiode pixels readily available in a standard CMOS process. The performance limitations of such pixels are explained, leading to more advanced sensor structures such as the current assisted photonic demodulator (CAPD) and gate assisted photonic demodulator (GAPD), wherein both use an electric field to guide carriers and achieve a more effective signal modulation. To overcome the tradeoff between modulation contrast and power consumption for mobile ToF applications, a junction assisted photonic demodulator (JAPD) pixel architecture is proposed and experimentally demonstrated. Finally, the design of the readout circuit of a ToF pixel is discussed. © 2021 IEEE.

关键词： Demodulators

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