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检索条件"任意字段=3rd IEEE International Conference on Distributed Computing in Sensor Systems"

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IoT and sensor-based Water Quality Monitoring for Sustainable Management of Water Resources 3

IoT and Sensor-based Water Quality Monitoring for Sustainabl...

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

作者： Sidhu, Amritpal Bahri, Dimple Poornapushpakala, S. Agarwal, Trapty Ahluwalia, Gunveen Chatterjee, Pubali 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 Centre for Cyber Security Odisha Bhubaneswar India

ISBN: (纸本)9798331542375

we are now moving into an era where the Iota and sensor-based technologies can monitor many parameters, including water quality. Since fresh, potable water is becoming increasingly scarce in many parts of the globe, maintaining a clean and sustainable source for consumption remains one of our biggest challenges today. This challenge can be addressed by leveraging IoT and sensor-based systems that accumulate data from several devices plus study it toward make insight designed meant for better executive. Most available IoT and sensor-based water quality monitoring systems use a network of devices, generally called sensors or data loggers that are connected to take in the multiple variables related to parameters like pH levels, dissolved oxygen placeholders d, and pollutants. This data is subsequently integrated with scientific algorithms and machine learning, which helps to determine water quality fluctuations in near real-time. These systems can be combined with geographic information systems, illuminating the data and making it mappable so that problem areas will likely emerge. IoT and sensor-based water quality monitoring are advantageous against conventional methods in terms of better accuracy, increased efficiency, cost-effectiveness to monitor long term, and the ability to demonstrate effective real-time information about water fettle. Information like this can be critical for managing water resources, as it can identify potential problems such as contamination or water running out. It optimizes these technologies to monitor remote locations, decreasing human labor requirements and enabling real-time decision-making in sustainable water resource management. © 2025 ieee.

关键词： Water management

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Proceedings of IPDRM 2019: 3rd Annual Workshop on Emerging Parallel and distributed Runtime systems and Middleware - Held in conjunction with SC 2019: The international conference for High Performance computing, Networking, Storage and Analysis

Proceedings of IPDRM 2019: 3rd Annual Workshop on Emerging P...

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3rd ieee/ACM Annual Workshop on Emerging Parallel and distributed Runtime systems and Middleware, IPDRM 2019

ISBN: (纸本)9781728159935

The proceedings contain 6 papers. The topics discussed include: assessing the performance impact of using an active global address space in HPX: a case for AGAS;sequential codelet model of program execution - a super-codelet model based on the hierarchical turing machine;ADVERT: an asynchronous runtime for fine-grained network systems;design and evaluation of shared memory communication benchmarks on emerging architectures using MVAPICH2;characterizing the performance of executing many-tasks on summit;and leveraging network-level parallelism with multiple process-endpoints for MPI broadcast.

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Tool Condition Prediction in High-Speed Milling Using Deep Q-Networks (DQN) and sensor Fusion Data 3

Tool Condition Prediction in High-Speed Milling Using Deep Q...

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

作者： Dilli Ganesh, V. Duklan, Nitin Alabdeli, Haider Johri, Prashant Mohanraj, T. Venkatesh, R. Department of Mechanical Engineering Chennai India Uttaranchal University Dehradun India College of Technical engineering The Islamic University Department of Computers Techniques Engineering Najaf Iraq School of Computing Science and Engineering Galgotias University Greater Noida India Karpagam Academy of Higher Education Department of Computer Science Engineering Coimbatore India Department of Physics Dindigul India

ISBN: (纸本)9798331542375

Highly effective and reliable high-speed milling depends on the timely tool condition monitoring (TCM) check. In this paper, we propose a novel approach for tool condition prediction based on DQN with sensor fusion data. Both contact and non-contact sensors such as, vibrational, force, and acoustic emission sensors are utilized to gather data in real time during milling. The information collected by these sensors are integrated into a number of important features to be used in DQN model to learn the prediction of tool wear and possible failure. The DQN model is built to learn from the response of the milling environment characterized by tool condition in terms of wear and the remaining useful life (RUL). The results derived from experiments tend to show that the utilised DQNbased model has better quantitative values for accuracy, precision, recall, and F1-score than classical machine learning models like artificial neural networks (ANN), support vector regression (SVR), decision trees and etc. The integration of the sensor data enhances the overall prediction reliability, a factor which is highly achieved from the fusion of the data received from the vibration, force and acoustic emission sensors. The overall system proposed has significant application for real time implementation and demonstrates relatively short prediction time and is less sensitive to changes in the machining conditions. This proposed methodology is a feasible approach for improving tool life and reducing time needed for high speed milling applications. © 2025 ieee.

关键词： Milling (machining)

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A Unified IoT-based Smart Home System: Integration of Security and Convenience Features for Consumer 3

A Unified IoT-based Smart Home System: Integration of Securi...

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3rd international conference on Intelligent systems, Advanced computing, and Communication, ISACC 2025

作者： Oeishee, Moslema Hoque Ahammad Muyeed, Munyem Alvi, Mishkat Mehedi, Rejoan Shariar Emon Shaikat, M. Molla, Md Nayan Brac University Electrical and Electronic Engineering Department Dhaka Bangladesh United International University Computer Science and Engineering Department Dhaka Bangladesh Brac University Computer Science and Engineering Department Dhaka Bangladesh

ISBN: (纸本)9798331523893

Home automation is growing rapidly in the Fourth Industrial Revolution (4IR), providing users with unwavering convenience and enhanced security. This paper presents a comprehensive Internet of Things (IoT) smart home automation solution with a focus on energy management, user-friendliness, and security. Our system includes real-time integrated dashboards accessible via web and mobile interfaces, smart irrigation for indoor gardening, passkeys for door security, voice commands, fingerprint access, night security lighting, and morning alarms. The hardware consists of an Arduino MEGA microcontroller, various sensors (smoke, temperature, humidity, and soil), an ESP Wi-Fi module for connectivity, and additional components. The system demonstrated a satisfactory effectiveness level with an accuracy of 78% based on various tests. The voice assistant bot and accessible dashboard significantly improve user experience. Despite the complexity of home automation processes, increased affordability and accessibility are the aims of this paper. Future work will focus on enhancing real-time capabilities, integrated circuits, data security, and web-based functionalities to improve system performance, scalability, and user accessibility. © 2025 ieee.

关键词： data security home appliances control IoT sensor integration smart home user-friendly dashboard

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Security and Privacy Challenges in IoT and sensor Networks: A Review of Current Solutions 3

Security and Privacy Challenges in IoT and Sensor Networks: ...

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

作者： Sonti, V.J.K. Kishore Singh, Daljeet Pal Sood, Gourav Maheshwari, Bharat Vashisht, Nitish Manu, S.E. 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 Karnataka Bangalore India

ISBN: (纸本)9798331542375

Storage capacity is not a concern. sensor networks and IoT have transformed storage the way data is stored in multiple ventures. However, this increase in connected devices has also led to various security and privacy questions. This abstract aims to provide an insightful summary of some existing solutions to these pain points. They provided effective messages on device networks vulnerable to intrusion and were able to broadcast full security into IoT with sensor vulnerabilities. It may allow attackers to steal data, manipulate systems, or access them using fake credentials. Intrusion detection systems were created to solve the problems with many threats, such as secure protocols and authentication mechanisms. Another important aspect is privacy since these devices collect a large amount of data that can be used to infer potentially sensitive personal information. Some solutions to protect privacy in IoT and sensor networks have been suggested, such as encryption methods, data anonymization algorithms, or access control mechanisms. In addition, scalability, energy-efficient design, and cost are key challenges in devising such security and privacy solutions. To that end, research is being conducted to enhance existing solutions and develop new methods and technologies for tackling these challenges. To sum up, IoT and sensor networks are inherently rewarding technologies whose benefits far outweigh their drawbacks, but justifiably, many threats must be cleared to gain those attributes at the expense of reasonable security and privacy potentials. The current solutions are baseline, but they need continuous upgradation to ensure the safety and privacy of users in such a fast-moving technology world. © 2025 ieee.

关键词： Authentication

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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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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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Enabling Smart Farming with IoT and sensor Networks: Case Studies from Developing Countries 3

Enabling Smart Farming with IoT and Sensor Networks: Case St...

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

作者： Garg, Mohan Parui, Souvik Kumar Kandhari, Harsimrat David, Roshita Lakshmi, S. Naval, Preeti 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 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

ISBN: (纸本)9798331542375

Smart Farming with IOT and sensor Networks is an advanced technology that enables traditional farmers to reduce waste and introduce intelligence in measuring the productivity of crops. The papers show how deploying IOT and sensor networks has contributed to enhancing productivity, reducing costs, and sustainability through a few successful case studies spanning regions under development. IOT and sensor Networks for Agriculture: Low-cost sensors and communication devices with data analytics help collect and analyze real-time information from farms. Along with weather forecasts, soil analysis, and other useful insights, it helps farmers take technocratic actions, eventually allowing them to use their resources better. IOT and sensor networks are particularly useful in developing countries, where small-scale farmers often cannot access modern technologies and information. Farmers using IOT systems for drip irrigation can use their mobile phones to control watering remotely and thus increase water efficiency significantly, as was the case in India. Leveraging sensor networks to advance precision farming has successfully grown crops with higher yields and less fertilizer use in Africa. Using IOT and sensor networks in the application layer can significantly enhance food security, diminish ecological footprint, and foster sustainable agricultural practices, particularly in developing countries. The world has a later taste of the benefits that would eventuate in one dark-haired roommate becoming somewhat more bearded and less university student-like than ever before;there is still much research to come on this technology, which could change the face (not beard)of global agriculture - improving livelihoods for millions upon million small-scale farmers. © 2025 ieee.

关键词： Crops

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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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