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检索条件"任意字段=Conference on Internet Quality and Performance and Control of Network Systems"

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IoT Intervention in the monitoring of aquaponics metrics and control of input schedule

IoT Intervention in the monitoring of aquaponics metrics and...

引用

2024 International conference on Smart Devices, ICSD 2024

作者： Malik, Pooja Malik, Praveen Kumar Ranjith Kumar, Gotte Bali, Jyoti S. Mahajan, Anshul Muhsen Hassan, M. Lovely Professional University School of Electronics and Electrical Engineering Punjab Phagwara India SR University School of Computer Science & Artificial Intelligence Warangal India Dept of Robotics and Automation Pune India The Islamic University Najaf Iraq

ISBN: (纸本)9798350394412

The extensive use of technology across several Modern civilization is clearly impacted by technology, with cutting-edge techniques and tools playing critical roles in sectors including healthcare, business, agriculture, and education. Processes have been transformed by these improvements, which have increased their dependability and efficiency. With the incorporation of technology, agriculture has made enormous strides, with techniques like aquaponics developing as extremely effective and sustainable systems. Aquaponics is a novel farming method that combines hydroponics (soilless plant cultivation) and aquaculture (fish farming) to grow vegetables and fish at the same time. But the performance of this incorporated system relies upon on careful observation of a number of vital elements, such as water high-quality, pH tiers, temperature, and dissolved oxygen levels. To keep the health and growth of both fish and flora in an aquaponics device, it's miles critical to hold perfect situations. This highlights the significance of technological intervention, especially via the integration of internet of Things (IoT) era, and calls for precision in regulating the input time table for fish feed and plant vitamins. © 2024 IEEE.

关键词： Fish

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A Survey on Affordable internet of Things (IoT) Enabled Healthcare systems 13

A Survey on Affordable Internet of Things (IoT) Enabled Heal...

引用

13th International conference on Advances in Computing, control, and Telecommunication Technologies, ACT 2022

作者： Marada, Rajeev Anant, Edidi Sai Vadivukkarasi, K. SRM Institute of Science and Technology Kattankulathur Chennai India

ISBN: (纸本)9781713857938

internet of Things (IoT) started as a concept to connect sim- ple devices which would enable them to communicate with each other without any human intervention. IoT has become ubiquitous in various technologies and networking ecosystems which has evolved. With the advent of IoT, these systems have been elevated into "Smart systems". The healthcare sector is ever-evolving that is making the dream of curing in- curable diseases a reality, due to these advancements there is an adverse effect on the cost and accessibility of the services. With the integration of IoT in this field, the concept of the internet of Medical Things (IoMT) has come into existence. IoMT creates a network of smart healthcare de- vices that can provide cost-effective services along with the transmission of the medical data, making the prospect of remote monitoring a reality and improving the quality of life. The survey provides an insight into some inexpensive IoMT devices that utilize simple system architectures and networking models. This paper discusses the prospect of using microcontrollers interfaced with various sensors that record and transmit the data through the aggregator using networking protocols that can help in creating cost-effective and efficient healthcare devices. © Grenze Scientific Society, 2022.

关键词： internet of things

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12th International conference on Recent Trends in Computing, ICRTC 2024

12th International Conference on Recent Trends in Computing,...

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12th International conference on Recent Trends in Computing, ICRTC 2024

ISBN: (纸本)9789819788354

The proceedings contain 34 papers. The special focus in this conference is on Recent Trends in Computing. The topics include: Deep Learning-Based Prediction of Human Ageing Related Proteins;the Insight of Clustering Algorithms for Emerging networking Paradigms;Revolutionizing Cardiovascular Health: Exploring the Potential of AI-Driven Approaches in Diagnosing Arrhythmia Disorders;humor Detection in Telugu Social Media Text Using Cost-Sensitive Learning and Indian Language Embeddings;empirical Comparison of Sleep Disorder Prediction Using Machine Learning Techniques;securing Smart Grids: Decentralized Anomaly Detection Using Federated Learning and Recurrent Neural networks;machine Learning-Powered Intrusion Detection for network Security;secure Chat System: Harnessing the Power of Hybrid Encryption for Enhanced Security and Confidentiality;deep Neural networks for Early Diabetes Mellitus Prediction;advancements in Image Deblurring and performance Metrics Using Deep Learning Technique;emotion-Levitating Music Recommendation System Through Real-Time Facial Recognition;smartVoice TrashMate: The Intelligent Voice-controlled Trash Bin;an Innovative Image Enhancement Algorithm for Color Filter Array Images: A Novel Approach;Enhancing Secure and Efficient Communication in Free-Space Optical networks Using Spectral Amplitude Coding - OCDMA Technology;enhancing Citrus Fruit Classification and quality Assessment Through Advanced Machine Learning Techniques;connecting Health for a Better Tomorrow Through internet of Medical Things;image Processing in Retail Marketing: Innovations for Customer Engagement, Sales, and Operational Efficiency;Leaf Checker: AI-Based Plant Diagnostic Tool Using Alexnet and Mobilenet;ioT-Supported Indoor Navigation System Using Machine Learning Technique;a Customizable Virtual Assistant Enhanced with Vision and Speech Capabilities;An Unequal Cluster-Based Routing Mechanism Using Lyrebird Optimization Algorithm to Achieve network Longevity in WSNs.

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Cross-Scale Object Detection for Large-Scale Images in Real-Time 5

Cross-Scale Object Detection for Large-Scale Images in Real-...

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5th IEEE International conference on Civil Aviation Safety and Information Technology, ICCASIT 2023

作者： Zhu, Zhiqiang Chen, Fu Li, Jing Chengdu Civil Aviation Air Traffic Control Science & Technology Co. Ltd The Second Research Institute of Caac Chengdu China

ISBN: (纸本)9798350310603

The remote digital tower offers advantages over traditional physical towers, while accurately locating objects in panoramic images presents challenges due to large variations in object scale and potential image quality issues. This paper proposes a simple yet effective cross-scale object detection method for panoramic images in the context of remote tower systems for air traffic control. Our approach focuses on adaptive feature adjustments to enhance small object representation and explores higher computational efficiency in convolutional layers for improved network inference. Additionally, we utilize TensorRT for inference, optimizing the network structure and employing GPU hardware acceleration. Results show that the proposed method can significantly enhance cross-scale object detection performance, contributing to the advancement of remote tower systems. © 2023 IEEE.

关键词： Object detection

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7th International conference on Artificial Intelligence in Renewable Energetic systems, IC-AIRES 2023

7th International Conference on Artificial Intelligence in R...

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7th International conference on Artificial Intelligence in Renewable Energetic systems, IC-AIRES 2023

ISBN: (纸本)9783031606311

The proceedings contain 48 papers. The special focus in this conference is on Artificial Intelligence in Renewable Energetic systems. The topics include: Attacks and Countermeasures in Wireless Sensor networks;A System for Monitoring Hydroponic Plants in Greenhouse Using WSN, IoT and RnE;implementation of Smart Parking Using an IoT Based System;Dynamic Load Balancing in Cloud-IoT Based on Neural network Classification and GGA Optimization;blockchain-Based Identity Management;application of Machine Learning Forecasting Model for Renewable Generations of Adrar’s Power System;Using the PSO Algorithm to Optimize a Self-tuning PID-Type Fuzzy controller for Indoor Temperature;Kalman MPPT controller for Home Turbine Connected to the Utility Grid;Variation of the Speed of a DC Motor Powered by the Photovoltaic Generator Using MPPT control;MOTH-FLAME-MPPT Algorithms of PV Panels Under PSC;Improving Wind Turbine performance in Residential Grid-Connected System Operating at Variable Wind Conditions with WOA-MPPT Based Strategy;Improved Power quality with Active Shunt Power Filter Based on MPPT Firefly controller of a Wind Turbine;Optimal Design of an Off-Grid Photovoltaic-Battery System for UAV Charging in Wildlife Monitoring;Efficient Solar Energy Harvesting and Power Management for Electric Vehicles Using MPPT Under Partial Shading Conditions and Battery/Super-Capacitor Integration;New Hybrid Optimized MPPT Technique for PV systems Under Partial Shadow Conditions;frequency Characterization of Water Solutions Used in Electrolysis for Production of H2;the Traction Chain of an Electric Vehicle;A Comparative Study of Speed control Strategies for In-Wheel Direct Current Machines in Electric Vehicles: PI, Fuzzy Logic, and Artificial Neural networks.

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12th International conference on Recent Trends in Computing, ICRTC 2024

12th International Conference on Recent Trends in Computing,...

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12th International conference on Recent Trends in Computing, ICRTC 2024

ISBN: (纸本)9789819789450

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Research and implementation of network service quality monitoring and multi-authority message warning based on IPv6

Research and implementation of network service quality monit...

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2022 IEEE Asia-Pacific conference on Image Processing, Electronics and Computers, IPEC 2022

作者： Zhao, Liuyin Ke, Li Wuhan University of Technology Network Information Center Wuhan China Zhongnan University of Economics and Law Information Management Department Wuhan China

ISBN: (纸本)9781665409025

The system mainly realizes the monitoring and early warning of the network layer and application layer in the ipv6 environment, provides comprehensive network monitoring services, can monitor network performance and potential faults in real time, and ensures the stable and efficient operation of business systems in the network environment. Real-time visual monitoring is realized, allowing users to obtain complete visibility into the entire network. Innovatively integrates the intelligent power environment monitoring system of the computer room based on the internet of Things to provide protection for the external environment in which the IPv6 network system can maximize its effect, fill the current market vacancy, and has forward-looking practical significance. The network early warning information can be notified to the corresponding manager in a timely and accurate manner. It supports SMS and email warning methods. Users can choose a single warning method or a combination of multiple media for warning, which improves the success rate of website content change alarms. © 2022 IEEE.

关键词： internet of things

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Enhancing Harmonic Reduction of Grid Connected Wind-Solar PV Charging Station using Neural network controller

Enhancing Harmonic Reduction of Grid Connected Wind-Solar PV...

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2023 International conference on Sustainable Computing and Smart systems, ICSCSS 2023

作者： Penchalaiah, T. Hema Nagalatha, K. Aravind, M. Manikanta, K. Rakesh, K. Vineela, Ncs Sree Vidyanikethan Engineering College Department of Eee Tirupati India

ISBN: (纸本)9798350333602

In this study, one or more electric vehicles are linked to a conventional three-phase grid and their batteries are charged using a controlled rectifier and a DC-DC converter. Two examples of the many renewable energy sources that are interconnected with the traditional grid are Photovoltaic array (PVA) and wind farms. The battery is charged using the most amount of energy possible from the aforementioned renewable sources. The battery is charged via a three-phase grid. with the help of rectifier, when there is a lack of renewable energy. The test system's simulated energy management control structure includes a grid with home demands, an EV charging station, and renewable sources. To control the designated parameters, PI is used in the controlling topology. However, using a PI controller will result in a system with a low-speed response and strong harmonic distortions. In order to address these problems, the PI controller is swapped out with a neural network, which improves the system's speed response and lowers the harmonic distortions. Therefore, by maintaining adequate power quality, system performance can be increased. These are studied with the MATLAB simulink programme. © 2023 IEEE.

关键词： Wind power

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7th International conference on Artificial Intelligence in Renewable Energetic systems, IC-AIRES 2023

7th International Conference on Artificial Intelligence in R...

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7th International conference on Artificial Intelligence in Renewable Energetic systems, IC-AIRES 2023

ISBN: (纸本)9783031606281

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Evaluation of Failure Analysis of IoT Applications Using Edge-Cloud Architecture 16

Evaluation of Failure Analysis of IoT Applications Using Edg...

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16th Annual IEEE International systems conference (SysCon)

作者： Jassas, Mohammad S. Mahmoud, Qusay H. Ontario Tech Univ Dept Elect Comp & Software Engn Oshawa ON L1G 0C5 Canada

ISBN: (纸本)9781665439923

The most important features of the internet of Things (IoT) application architecture are connectivity, detection, scalability, intelligence and integration. IoT devices should be designed and installed so that they can be scaled up or down based on business and application requirements. Cloud computing has faced various challenges due to its rapid expansion. Due to the growing number of IoT devices and the data they generate, cloud computing cannot meet quality-of-service requirements such as low latency due to its remote geographic location. Edge computing models are urgently needed to develop IoT applications. This paper investigates the impact of combining IoT, cloud, and edge computing for failure analysis and prediction. Furthermore, based on the Edge-Cloud architecture, we offer an architecture for a highly reliable and available IoT application that can support the new paradigm of cloud-IoT applications. The proposed model can reduce the number of failed tasks for cloud-IoT applications. We have also examined how many tasks fail when different architectures are used. The evaluation results show that failed tasks and CPU usage have decreased after applying the "Edge and Cloud" architecture. Using "Edge and Cloud" architecture can also control network traffic compared to other architecture.

关键词： Cloud computing Computational modeling Scalability Failure analysis Computer architecture Telecommunication traffic internet of Things

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