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3rd ieee 2022 international conference on computing, Communication, and Intelligent systems, ICCCIS 2022

3rd IEEE 2022 International Conference on Computing, Communi...

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3rd ieee international conference on computing, Communication, and Intelligent systems, ICCCIS 2022

ISBN: (纸本)9781665462006

The proceedings contain 168 papers. The topics discussed include: communication induced checkpointing based fault tolerance mechanism – a review and CIAC-FTM framework in IoT environment;a semantic review on challenges, trends towards defensive ids in Internet of things;semantic segmentation in medical image based on hybrid Dlinknet and UNet;smart car - one stop for all automobile needs;hybrid cryptography algorithm for the internet of things based plant information security;5G network: architecture, protocols, challenges and opportunities;fiber Bragg grating temperature sensor and calibration scheme in high magnetic field environment : an application for aluminum electrolysis cell in potline;federated learning with blockchain: a study of the latest decentralized couple;an enhanced copy-deterrence scheme for secure image outsourcing in cloud;decentralized data privacy protection and cloud auditing security management;land registry and title management using blockchain and smart contracts;breast cancer modeling and prediction combining machine learning and artificial neural network approaches;and confluence of artificial intelligence and blockchain powered smart contract in finance system.

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Optimizing Indoor Air Quality with IoT and sensor-Based Solutions: A Case Study of Office Buildings 3

Optimizing Indoor Air Quality with IoT and Sensor-Based Solu...

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3rd ieee international conference on Automation and Computation, AUTOCOM 2025

作者： Seth, Kanika Sandeep, V. Manisha Chaudhary, Pavan Arora, Mithhil Thatoi, Dhirendra Nath Chitkara University Chitkara Centre for Research and Development Himachal Pradesh Baddi174103 India Karnataka Bangalore India Sathyabama Institute of Science and Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140417 India Department of Mechanical Engineering Odisha Bhubaneswar India

ISBN: (纸本)9798331542375

The stall of indoor air can affect people's health, productivity, and overall well-being. In office buildings through IAQ, health consequences can include the onset of respiratory problems, fatigue, and higher rates of sick leave. Today, publics use a considerable quantity of their stage in these indoor surroundings. Workplaces have seen an increasing demand for IAQ optimization over the years a Case Study Demonstrating How IoT and sensor-Based Solutions Bring IAQ into Focus in Office Buildings Open Access. MDPI The study took place at a large commercial office building with poor IAQ resulting from improper ventilation and air filtration. The building has a network of air quality sensors that monitor and record various factors, including temperature, humidity, CO2 levels, and particulate matter. The central control system received this data in real time and interpreted it to adjust the building's ventilation and filtration systems. Results of the study confirmed a remarkable enhancement in IAQ, a decrease in CO2 levels, and a reduction in the concentration of particulate matter, followed by an increase in overall air quality. Alternatively, it improved the energy efficiency of the building as HVAC systems could also operate more effectively, saving money for the maintenance of the host building. © 2025 ieee.

关键词： Air Filtration Indoor Environments Reduction Respiratory Problems Saving Money

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IoT and sensor-Enabled Waste Management: Towards Smart and Sustainable Cities 3

IoT and Sensor-Enabled Waste Management: Towards Smart and S...

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3rd ieee international conference on Automation and Computation, AUTOCOM 2025

作者： Srikantha, H. Gomathi, T. Mishra, Awakash Gupta, Mohit Chinmay, Ayes Swarup, Lakshya Karnataka Bangalore India Sathyabama Institute of Science and Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140417 India Centre for Cyber Security Odisha Bhubaneswar India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh Baddi174103 India

ISBN: (纸本)9798331542375

IoT and sensor-based waste management exist as priority solutions for the problems from an urban perspective. Urban areas keep on rising in population, with a developing measure of waste created yearly that can put immense strain on conventional Waste Management systems. This is where forward-thinking technologies like IoT and sensors are introduced into waste management services to be more resourceful, cost-effective, and eco-friendly. A network of connected devices, sensors, and data analytics to collect real-time data is made possible because of this IoT technology. IoT can be used to check and track bin & container waste levels and disposal routing scheduling needs. It enables information transfer among recycling service providers and residents. This can also include sensors in waste bins that allow real-time data on the composition of discarded materials to be gathered and help spot improvements. IoT and sensor technology in waste management help to reduce costs of waste collection & disposal and more effective sorting of recyclable materials, which can be what we need for a long time while caring about the environment. Moreover, the live data it provides helps make effective and well-planned decisions for waste management strategies in the future. All told, combining IoT with sensor-based waste management stands to revolutionize our great cities into intelligent and sustainable places, instigating better disposal habits conducive to people's health. © 2025 ieee.

关键词： Wastewater disposal

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3rd ieee international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2024

3rd IEEE International Conference on Distributed Computing a...

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3rd ieee international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2024

ISBN: (纸本)9798350318609

The proceedings contain 299 papers. The topics discussed include: time series modelling approach for predictive analytics;research on the recognition of accounting information distortion by random forest algorithm;reconstruction and update of 3D model of mechanical products based on 3D point cloud data;prediction of soil organic carbon content using machine learning based fuzzy C-means clustering;fault detection and classification in power transmission lines using discrete wavelet transform-based swish recurrent neural network;immersive dramatic space 3D layout using panoramic image reconstruction algorithm;multi-objective optimization of noise in a high-speed railway by a hybrid algorithm;new energy vehicle customer mining model based on machine learning algorithm;and robotization of agriculture using image processing techniques.

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Healthcare System Using IoT and Health Monitor Website

Healthcare System Using IoT and Health Monitor Website

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Industrial Electronics: Developments & Applications (ICIDeA), ieee international conference on-

作者： Priyanka Vijay Tandalekar Khushi Avinash Kokane Shruti Devendra Gokulpure Aditi Prashant Deshmukh Rashmi Panherkar Amruta Udapurkar Department of Electrical Engineering JSPM's Rajarshi Shahu College of Engineering Pune India

ISBN: (数字)9798331533205

ISBN: (纸本)9798331533212

Technological advancements and the miniaturization of sensors have prompted initiatives to implement these innovations in diverse fields, aiming to enhance the standard of living for individuals. A notable domain that has adopted this technology is the healthcare industry. Individuals requiring healthcare services often encounter high costs, a situation that is especially prevalent in developing nations. Consequently, the project aims to address a pressing healthcare issue that societies are currently facing, with the primary goal of developing a remote healthcare system. By analyzing data via a website, healthcare professionals or guardians can monitor a patient's health status from outside the hospital environment. In this initiative, we have designed a tailored Internet of Things (IoT) framework specifically aimed at healthcare applications. The project's aim was to establish a Health Analyzing System that employs locally sourced sensors, ensuring its cost-effectiveness for potential large-scale production. The suggested model gets the sensor data via the Arduino Nano microcontroller and sends the data to the cloud for processing and analysis., thereby facilitating remote access. The feedback actions derived from the analyzed data can be viewed on the website associated with the device.

关键词： Temperature sensors Temperature measurement Cloud computing Hospitals Medical services sensor systems Real-time systems sensors Internet of Things Monitoring

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Design and Computational Study of a Two Dimensional Photonic Crystal Based Ethanol sensor

Design and Computational Study of a Two Dimensional Photonic...

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Integrated Circuits and Communication systems (ICICACS), ieee international conference on

作者： D Sreekanth Savita Soma Mahesh V Sonth Guru Nanak Dev Engineering College Bidar Visvesvaraya Technological University Belagavi Karnataka India CMR Technical Campus Hyderabad Department of ECE Guru Nanak Dev Engineering College Bidar Department of E&TC SECS JSPM University Pune

ISBN: (数字)9798331508456

ISBN: (纸本)9798331508463

This research article provides a computational study of light interaction with two dimensional photonic crystal (PhC) structure. This PhC structure is used to measure ethanol percentage in liquid water by identifying and computing mid gap wavelength shift. Analysis of the Maxwell's equations that govern the photon behaviour in the periodic structure is discussed in detail for PhC structures. The photonic band gap (PBG) which prohibits the photon momentum in certain directions in the crystal is computed using plane wave expansion (PWE) method by deriving solutions to the eigenvalue equation. A two dimensional (2D) PhC structure is designed by taking 18 × 17 number of holes on a dielectric slab. This holes on the dielectric configuration is used to sense the ethanol level in liquid water. The PBG width for the design in transverse electric mode is [ωa/2πc] ranging from 0.3841 to 0.4428. The band gap size Δλ 480 nm and mid gap wavelength λ c = 2391.2 nm is achieved from the structure. The sensor achieves a sensitivity of 10645.24 nm/RIU and a transmission ratio more than 94%. This structure is a suitable candidate for ethanol sensing applications as it offers a wide bandgap for light propagation.

关键词： Sensitivity Liquids Photonic band gap Ethanol Wavelength measurement Lattices Dielectrics Optical sensors Maxwell equations Photonics

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Comparative Methods for Flexibility Estimation and Load/Loss Analysis in TSO/DSO Coordination with DERs

Comparative Methods for Flexibility Estimation and Load/Loss...

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

作者： T Koteswara Rao Neeraj Singh Ankur Singh Rana Department of EEE National Institute of Technology Tiruchirappalli Tamil Nadu India

ISBN: (数字)9798331507671

ISBN: (纸本)9798331507688

The modern power system is undergoing vast transformation due to the growing penetration of of distributed Energy Resources (DERs) such as Solar, Wind and other DGs within distribution networks. This paradigm shift asks for coordinated efforts between Transmission System Operators (TSOs) and Distribution System Operators (DSOs) to maintain grid stability and resilience. This paper compares the Linear DistFlow and Forward-Backward Sweep methods for estimating flexibility at the Transmission System Operator - Distribution System Operator (TSO-DSO) interface in an ieee 33-bus distribution system. Using Monte Carlo simulations over 10,000 scenarios, both methods evaluate flexibility potential with distributed energy resources (DERs) such as Diesel Generators (DGs), Wind, and Photovoltaics (PV). Results indicate distinct performances in terms of load and loss reduction, flexibility range, and computational efficiency, offering insights into each method's effectiveness in modern distribution systems.

关键词： Wind energy generation Wind Accuracy Monte Carlo methods Estimation Power system stability Real-time systems distributed power generation Planning Computational efficiency

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Implementing an Intelligent Irrigation System in Oman Using Machine Learning Technique

Implementing an Intelligent Irrigation System in Oman Using ...

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Device Intelligence, computing and Communication Technologies, (DICCT), international conference on

作者： Vimal Kumar Stephen Sanjiv Sharma Zaina Rashid Salim Al-Jufaili Senthil Jayapal College of Computing and Information Sciences University of Technology And Applied Sciences Ibra Oman

ISBN: (数字)9798331543358

ISBN: (纸本)9798331543365

In this study, machine-learning technique is used to collect environmental data in real time and measures other aspects like soil moisture, temperature, water level, humidity. Water use efficiency has recently increased because to new agricultural techniques, sophisticated sensors as Micro Controller, and Wireless sensor Network (WSN). Irrigation Fault Detection method based on XGBoost (IFD-XGBoost) Algorithm used as proposed method as robust to missing values imputing them naturally during tree splitting. The Suggested method is optimized for speed, using parallel and distributed computing to make predictions faster compare to other Regression Algorithm and avoid over fitting. Using Min-Max Normalization, features with different sizes and units can affect the efficacy of several machine learning algorithms. By warping the statistical relationship between features, removal of noisy data and error detection can reduce the machine learning models' efficiency. Lasso Regression is a linear model that combines regularization and feature selection. Additionally, less data will be kept in the centralized cloud as a result. Using the IFD-XGBoost Algorithm's ability to handle missing data, learn from past errors, and adjust parameters, our proposed approach would be the best model to implement. It outperform from other algorithm in Predictive accuracy, making it reliable for calculating water needs and forecasting weather. Investigating the implementation of several machine learning models that can offer the best real-world irrigation decision management is the main goal of this article. The comparative analysis to evaluate the IFD-XGBoost method yielded a minimum RMSE of 0.3524, MAE of 0.1832, MAPE of 4.24 with the highest accuracy of 99.2%, precision of 96.2% and AUC-ROC of 95%, indicates when combined, these metrics provide insightful data about each model's ability to anticipate future developments in irrigation systems.

关键词： Temperature sensors Temperature measurement Irrigation Wireless sensor networks Machine learning algorithms Soil moisture Machine learning Humidity Prediction algorithms Data models

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Novel Structure of Dynamic CMOS Comparator with High Energy Efficiency

Novel Structure of Dynamic CMOS Comparator with High Energy ...

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Integrated Circuits and Communication systems (ICICACS), ieee international conference on

作者： Yafei Zhang Kangkang Sun Xiaoqi Peng Xinying Su Weijie Ge Jingjing Liu School of Electronics and Communication Engineering Sun Yat-Sen University Shenzhen China

ISBN: (数字)9798331508456

ISBN: (纸本)9798331508463

This article presents an energy-efficient dynamic CMOS comparator. By incorporating two additional NMOS transistors into the conventional Strong ARM (SA) structure, this design significantly reduces energy consumption as the differential voltage increases. Furthermore, it markedly improves key technical parameters such as precision, offset, and noise. Manufactured using a 180 nm CMOS process, the proposed comparator achieves 84 µV input-referred noise while consuming only 4.683-nW per comparison under a 1.2-V supply. This results in a figure of merit (FoM) of 0.033 nJ.µV2, representing a 53.36% reduction in power consumption compared to the conventional SA latch. These improvements are essential for energy-sensitive applications, enhancing system performance and minimizing power usage.

关键词： Performance evaluation Power demand Medical devices System performance Noise Voltage Manipulators Energy efficiency sensor systems Wearable sensors

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Beyond the Blink: IoT's Next-Gen Drowsiness Detection System for Drivers

Beyond the Blink: IoT's Next-Gen Drowsiness Detection System...

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Industrial Electronics: Developments & Applications (ICIDeA), ieee international conference on-

作者： Sidheswar Routray Nachiket Patel Dhruv Patel Jyoti Srivastava Rudra Narayan Dash Dept. of Computer Science & Engg. Pandit Deendayal Energy University Gandhinagar India Dept. of Computer Science & Engg. Indrashil University Mehsana India Dept. of Computer Engineering Ganpat University Mehsana India School of Electrical Engineering KIIT University Bhubaneswar India

ISBN: (数字)9798331533205

ISBN: (纸本)9798331533212

Drowsiness during driving includes high risks for the driver, the co-passengers, and the other people on the road. Advance Driver Assistance systems (ADAS) have been proposed to reduce these risks. This work introduces a new Internet of Things (IoT) seizure detection system to improve driver safety using Raspberry Pi, which is equipped with various sensors and utilizes machine learning for real-time monitoring and analysis. Using sensor fusion technology, including monitoring yawning and eye-closing patterns, the system aims to detect early signs of driver sleepiness. Being a low-cost, versatile, and tiny device, it becomes an ideal core processor for integration into an in-car environment. Additionally, the simplicity enables seamless communication with various sensors and facilitates effective data collection. Extensive tests and simulations were conducted to evaluate the effectiveness and reliability of the proposed system for real-world driving situations. The result outcomes prove the system's accuracy and efficiency in detecting early signs of driver fatigue to enhance driver safety. The integration of Raspberry Pi and sensor fusion technology makes it economical as well as scalable approaches supporting multiple platforms.

关键词： Sleep Roads sensor fusion sensor systems Real-time systems sensors Safety Internet of Things Reliability Vehicles

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