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检索条件"任意字段=2023 Intelligent Computing and Control for Engineering and Business Systems, ICCEBS 2023"

共 3241 条记录，以下是201-210 订阅

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Role of Internet of Things in Renewable Energy Sources: A Review

Role of Internet of Things in Renewable Energy Sources: A Re...

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2023 intelligent computing and control for engineering and business systems, iccebs 2023

作者： Saravanakumar, L. Arunprasad, S. Yoghamithra, R. Meganathan, D. Priyanka, A.N. Vetrivel, A. Sri Sai Ram Engineering College Department of Mechanical Engineering Tamil Nadu Chennai India Department of Production Engineering Sri Sai Ram Engineering College Tamil Nadu Chennai India

ISBN: (纸本)9798350394580

Recent advancements have involved the use of intelligent, digitally based control systems to convert energy into finished goods. In today's businesses, everything is managed and observed by computerized systems because of the quick and high-quality production methods. Automation has grown important in industries because it incorporates a large number of sensors and controls due to its integration into systems. Furthermore, with the help of these ancillaries and the internet, all the data has been transmitted and recorded. When the internet of things is used, the performance of the sensors and controllers is more accurate and efficient. But with real-time decision-making, IoT-enabled renewable energy solutions guarantee productivity, controls, optimal output, and lower costs. This work's goal was to examine how the Internet of Things (IoT) is used in the renewable energy industry, a topic that has been extensively covered in the literature. © 2023 IEEE.

关键词： controls Internet of Things Renewable energy sensors

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A Systematic Approach on Waste Water Treatment Using Predictive Analysis

A Systematic Approach on Waste Water Treatment Using Predict...

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2023 intelligent computing and control for engineering and business systems, iccebs 2023

作者： Renganathan, K. Srividya, K. Rani, N. Nithya Yogabhuvaneswari, U. Bhaskar, Vidhyacharan Vishnuvardhan, J. Department of Electronics and Instrumentation Engineering West Tambaram Chennai India San Francisco State University Department of Electrical and Computer Engineering San FranciscoCA94132 United States Crion Technologies Tamilnadu Chennai India

ISBN: (纸本)9798350394580

Wastewater treatment is essential for maintaining public health and safeguarding water supplies. By removing dangerous bacteria from sewage, it helps to keep people healthy. In order to improve the efficiency of wastewater treatment, our study offers a systematic methodology that applies machine learning to a non-intrusive prediction model. The optimisation of control systems and of treatment processes like membrane filtration and chemical precipitation are crucial. We create predictive models to foresee changes in wastewater parameters, assisting with treatment optimisation and evaluating system performance. © 2023 IEEE.

关键词： Machinelearning MATLAB NARXmodel Preprocessing Timeseriesprediction

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Automatic Accident Detection System

Automatic Accident Detection System

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2023 intelligent computing and control for engineering and business systems, iccebs 2023

作者： Sreeraman, R. Thrinam Vishwakumaar, M.E. Muralidharan, J. Devibalan, K. Sri Sairam Engineering College Department of Electronics & Communication Engineering Chennai India

ISBN: (纸本)9798350394580

Efficient and timely accident detection systems are imperative due to the rising global incidence of road accidents. Conventional approaches rely on eyewitness reports or calls to emergency services, leading to delayed responses and inaccurate information. The critical period immediately following a traumatic injury, often referred to as the 'golden hour,' underscores the importance of swift medical attention, with the highest likelihood of saving a patient's life within the first 60 minutes. Beyond this timeframe, mortality rates significantly rise. Presently, the delays in notifying local hospitals contribute to increased mortality rates. Hence, the primary objective of the project is to mitigate these adverse outcomes and eliminate delays in conveying information to nearby hospitals. Upon project implementation, the accident site will be promptly communicated to the hospitals. Currently, individuals at the scene of an accident are not required to notify hospitals, leading to potential delays. The proposed model integrates an Arduino UNO microcontroller, GPS, GSM module, and a buzzer. The GPS determines the accident's coordinates, while the GSM module sends SMS notifications, including accident type and location via Google Maps. A MEMS accelerometer sensor detects the accident occurrence. This system ensures that not only hospitals but also the victim's family is promptly informed, potentially saving crucial minutes that can make a difference in saving a life. © 2023 IEEE.

关键词： accident detection alerting family member Arduino UNO GPS module GSM module rescue of the person

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Review on Microaneurysms Detection Using Image Processing

Review on Microaneurysms Detection Using Image Processing

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2023 intelligent computing and control for engineering and business systems, iccebs 2023

作者： Srividya, K. Nagaraj, S. Gayathiri, R. Meha, S. Yogabhuvaneswari, U. Sri Sairam Engineering College Department of Electronics and Instrumentation Engineering Chennai India P.B College of Engineering Department of Electrical and Electronics Engineering Chennai India

ISBN: (纸本)9798350394580

It has been very challenging to forecast the residing microaneurysms in fundus images and recognize diabetic retinopathy in its early stages for a very long time. Long-term high blood glucose levels cause diabetic retinopathy (DR), which has irreversible microvascular consequences of loss of vision. Since microaneurysms (MAs) are thought to be the first lesions in diabetic retinopathy, their detection is crucial for the diagnosis of the condition. Recently, a variety of machine-learning methods for MA identification have been developed. Typically, these candidates' features are extracted after MA candidates have been discovered, the necessity for early detection of the most typical signs is stronger than ever due to the high incidence of diabetes mellitus and its effects. The presence of microaneurysms in the fundus pictures is one of the initial symptoms. The identification of red lesions in colored retinal imaging represents a indispensable first step in preventing the progression of sight impairment and visual loss brought on by DR. This makes their detection necessary for DR mass screening. This article presents a brand-new, comprehensive method that considers both pathological risk factors and the turnover of MAs when diagnosing the development of DR. In particular, one method obtains MAs turnover by following the conventional image analysis-based road map. © 2023 IEEE.

关键词： Diabetic retinopathy Image processing Microaneurysms

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Eight-Legged Spider Bionic Robot

Eight-Legged Spider Bionic Robot

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2023 intelligent computing and control for engineering and business systems, iccebs 2023

作者： Bhagyalakshmi, G.D.K. Rithika, S.R. Meena, P. Rajalakshmi, B. Sri Sairam Engineering College Department of Electronics & Communication Engineering Chennai India

ISBN: (纸本)9798350394580

The innate human drive to venture into uncharted territories, uncover new realms, and continuously surpass scientific and technological limits is an irresistible force. However, this thrilling endeavor often carries inherent dangers and risks. Nonetheless, exploring the unknown remains imperative for the progress and safety of our society and the world at large. Robotic systems present an ideal solution for venturing into these hazardous environments, eliminating the need for human presence in potentially perilous areas. Our spider bot embodies this concept, incorporating an array of sensors and leveraging reinforcement learning an artificial intelligence technique that emulates the movement of spiders. The spider robot utilizes kinematic motion, powered by Theo Jansen linkages, and its operations are controlled through the Arduino IDE. © 2023 IEEE.

关键词： Arduino IDE kinematic motion Reinforcement learning Robotic system sensors

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Submersible Water Pump with Sand and Sediment Filter

Submersible Water Pump with Sand and Sediment Filter

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2023 intelligent computing and control for engineering and business systems, iccebs 2023

作者： Prathibanandhi, K. Harish, T. Sriram, T. Govardhan, M.S. Gokulakrisnan, S.R. Yaashuwanth, C. Sri Sai Ram Engineering College Department of Electrical and Electronics Engineering Chennai India Sri Venkateswara College of Engineering Department of Information Technology Chennai India

ISBN: (纸本)9798350394580

Submersible pumps along the world are used for various purposes, some of them include domestic, Industrial and Agricultural applications. Most of the farmers rely on submersible pumps for irrigation. But due to unavoidable mechanical, heat losses and contaminants present in water results in decreased efficiency and expected lifespan of the motor will be reduced. In this presentation development of an efficient motor with sediment filter will be presented, which is expected to have a higher life expectancy than other submersible pumps available on market © 2023 IEEE.

关键词： active Carbon Filter Ceramic Filter composite magnetic Soft

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Improving the Accuracy for Predicting Solar Power Using the Novel Gradient Boosting Regressor Algorithm in Comparison With the RANSAC Regressor Algorithm

Improving the Accuracy for Predicting Solar Power Using the ...

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2023 intelligent computing and control for engineering and business systems, iccebs 2023

作者： Kumar, D. Sumith Bhavani, N.P.G. Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Electronics and Communication Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350394580

The aim of the research work objective is to predict solar power generation using the Novel Gradient Boosting Regressor algorithm compared to the RANSAC Regressor algorithm to improve accuracy. Materials and methods: The sample size for the two groups in this study is 60 samples were collected for SPSS study to assess, contrast, and comprehend the efficiency of suggested algorithms. In group 1 there are 30 samples taken from Novel Gradient Boosting Regressor algorithm and in group 2 there are 30 samples taken from RANSAC Regressor algorithm and the G-power analysis was conducted with 80 % power. Results and discussion: From the obtained results, it is observed that is based on independent sample t-test statistically significant difference p = 0.001 (p © 2023 IEEE.

关键词： Forecasting Novel Gradient Boosting Regressor Algorithm Preprocessing Ransac Regressor Algorithm Solar Power Generation Solar Power Prediction Temperature

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Smart Traffic control System with Ambulance Detection Using Image Processing

Smart Traffic Control System with Ambulance Detection Using ...

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2023 intelligent computing and control for engineering and business systems, iccebs 2023

作者： Nalini, M. Sandhya, S. Shiwani, S. Charumathi, S. Maharajothi, G. Sri Sairam Engineering College Dept of Electronics and Instrumenation Chennai India

ISBN: (纸本)9798350394580

In densely populated urban environments, the rapid and efficient passage of emergency vehicles, such as ambulances, is paramount to saving lives. This abstract introduces a cutting-edge approach to enhance traffic management and emergency response by leveraging image processing techniques for real-time ambulance detection and priority routing. The system we suggest consists of a network of sharp cameras placed at crucial crossroads and along major thoroughfares. These cameras record live video feeds of the traffic situation continuously. The video frames are processed using advanced computer vision algorithms, including object detection and tracking. Specifically, a deep neural network is employed to identify and track ambulance vehicles based on their unique visual characteristics, such as flashing lights, sirens, and distinctive vehicle markings. Upon ambulance detection, the system promptly triggers a series of actions to ensure swift and unimpeded passage. First, nearby traffic signals are dynamically adjusted to give the ambulance a green light, thereby expediting its route. Simultaneously, notifications are sent to connected vehicles via a dedicated communication network, advising them to make way for the approaching emergency vehicle. This communication can take various forms, such as in-car alerts, smartphone notifications, or even messages displayed on electronic road signs. To ensure the system's reliability and responsiveness, it operates in real-time, with minimal latency. Additionally, machine learning models are continuously trained and updated to improve ambulance detection accuracy, adapt to changing environmental conditions, and reduce false positives. By utilizing image processing and intelligent traffic management, our solution contributes to safer, more efficient urban transportation systems and ultimately plays a crucial role in saving lives during critical emergencies. © 2023 IEEE.

关键词： Deep neural networks Image processing Machine learning Real time monitoring

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Computer Aided Alzheimer's Disease Diagnosis from Brain Imaging Dataset - A Review

Computer Aided Alzheimer's Disease Diagnosis from Brain Imag...

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2023 intelligent computing and control for engineering and business systems, iccebs 2023

作者： Bharathi, U. Chitrakala, S. College of Engineering Guindy Anna University Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350394580

Alzheimer's Disease (AD) is a neurological deterio-rating condition that cannot be reversed and make distinctive by a gradual decrease in logical and analytical functions. Detecting AD in its early stages is difficult as it initiates several years prior to symptom manifestation. However, prior to the emergence of noticeable symptoms, neuroimaging has the capability to detect subtle modifications in the brain during the preclinical stages of AD. Designing a Computer Aided Alzheimer's Disease Diagnosis (CAADD) system utilizing Machine Learning (ML) and Deep Learning (DL) models presents exceptional prospects for analyzing various neuroimaging modalities. Many Researchers have been drawn to neuroimaging analyses, including Tl weighted Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), ML and DL methods, as means of automated AD diagnosis during the initial phases. In this paper we have made comprehensive survey of papers from 2017 to 2023 on CAADD that uses AI techniques. First, we investigated on ML techniques that are utilized to diagnosis AD from the neuroimaging data. Second, we performed systematic survey on DL models that are employed for AD diagnosis using neuroimaging data. This paper is concluded with the analysis on the performance metrics used in the papers under study followed by the inferences and future scope for the research in CAADD system using DL Algorithms. © 2023 IEEE.

关键词： ADNI Alzheimer's Disease ANN Brain MRI Deep Learning Machine Learning Medical Image Processing

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Hope - An Arduino Based Safety device

Hope - An Arduino Based Safety device

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2023 intelligent computing and control for engineering and business systems, iccebs 2023

作者： Savithri, C.N. Lukesh Barath, S. Poornesh, B. Velappan, Vignesh Sri Sairam Engineering College Department of Electronics and Communication Engineering Chennai India

ISBN: (纸本)9798350394580

This paper unveils a groundbreaking Arduino-based women's safety system, meticulously designed to augment emergency response and location tracking capabilities. Activating a distress signal triggers a swift and coordinated response, with the system promptly dispatching a 'Need Help' message via GSM to pre-registered contacts, accompanied by real-time GPS-derived location coordinates. The seamless synergy of Arduino technology ensures effective communication and interaction among system components, bolstering user security and expediting response times. By combining Arduino's versatility with GSM's reliable communication and GPS's precision, this innovative system presents a holistic solution to empower women in distress and significantly advance the landscape of women's safety technology. Its potential to save lives and contribute to a safer environment makes it a pivotal development in addressing the safety concerns of women. © 2023 IEEE.

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