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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 3237 条记录，以下是101-110 订阅

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Core Concepts of engineering in Augmented Reality

Core Concepts of Engineering in Augmented Reality

引用

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

作者： Sathya, T. Ajai, K. Suretha, S. Dhamotharakkannan, M. Vidhusha, M. Sri Sairam Engineering College Computer Science & Business Systems Chennai India

ISBN: (纸本)9798350394580

Augmented Reality (AR) is an emerging technological advancement that facilitates immersive and interactive experiences within the context of the real-world environment. The main goal of this project is to lead the way in creating a cutting-edge educational platform based on 3D Augmented Reality. This platform is designed to replace long-standing conventional two-dimensional (2D) educational approaches. The limitations of 2D education in terms of lacking immersive qualities and interactivity have rendered them increasingly ineffective in engaging students. The proposed remedy involves the creation of comprehensive 3D educational models and components, integrated with AR technology. This AR application presents a considerably more appealing and engaging alternative for students to elucidate abstract concepts. This research paper is meticulously designed to explore the applications of AR within the sphere of education, with a particular focus on its relevance in clarifying fundamental engineering concepts, including but not limited to Finite Automata, Data Structures, Operating systems, and Database Management systems. © 2023 IEEE.

关键词： Application Augmented Reality Education fundamental engineering concepts interactive

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Tech-Enabled Elderly Care: The MDVMD's Approach to Medication Adherence and Health Monitoring

Tech-Enabled Elderly Care: The MDVMD's Approach to Medicatio...

引用

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

作者： Periasamy, J.K. Raagavi, K. Sangamithra, N. Shweta Darshini, P. Sri Sairam Engineering College Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350394580

The aging population asserts a growing need for innovative technologies to improve the quality and ease of elderly care. This paper explains the development of a multifunctional medicine dispenser to meet the unique challenges faced by the elderly. This device integrates the features of medication management, vital sign monitoring, and caregiver notification systems to ensure extensive support for medication adherence of the elderly. Our system is encompassed with user-centric design principles, innovation, and health experts in order to create a reliable and user-friendly device. This pill dispenser includes a compartmentalized system with a scheduled pill dispensing mechanism, alarms, and an intelligent feedback system. Real-time vital monitoring, such as spO2, BPM is seamlessly integrated into the device to detect anomalies. A secure database wireless connectivity will make the device record medication information and transmit it to a companion app, providing both users and caregivers with insights into various medicine routines. © 2023 IEEE.

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Development of Smart Energy Meter Based on IoT

Development of Smart Energy Meter Based on IoT

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

作者： Nithya Rani, N. Renganathan, K. Jyolsna, M. Gayathri Varshini, M. Vidhula, R. Sruthee, S. Sri Sairam Engineering College Department of Electronics and Instrumentation Engineering Chennai India

ISBN: (纸本)9798350394580

Technology advancements have increased our dependency on electrical and technological equipment, emphasising how crucial power is to leading a pleasant existence. However, the widespread problem of power theft poses a serious risk to grid infrastructure, particularly in nations like India. The use of Smart Energy Metres (SEMs) is suggested as a defence against this. SEMs employ wireless communication to identify and stop power theft by keeping an eye on trends of energy usage. The system described in this article provides a versatile solution for both postpaid and prepaid billing by utilising SEMs for power theft detection and automatic invoicing. By substituting automated solutions for manual metres, we improve energy management, provide ongoing oversight, and help to spot metre manipulation and electricity theft. © 2023 IEEE.

关键词： Android GSM GSM Smart billing system Tamper notification Web development

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Smart Dosing: Harnessing AI for Alum dosage Predictions in Water Treatment

Smart Dosing: Harnessing AI for Alum dosage Predictions in W...

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

作者： Mohanraj, K. Madhumita, S. Harini, M. Rohind Praveen Raj, S. Balaji, N. Jayanthi, G. Sri Sai Ram Engineering College Department of Instrumentation and Control Engineering Chennai India

ISBN: (纸本)9798350394580

Water treatment methods, such as coagulation, flocculation, and sedimentation, play a crucial role in maintaining water quality. However, these methods encounter limitations due to the increasing pollution stemming from household, agricultural, and industrial waste. In response to this issue, our study delves into the exploration of advanced machine learning algorithms (SVM, MLR, RFR) for a comprehensive analysis of water. The findings from our research contribute to the development of an innovative laboratory treatment plant designed to mitigate the environmental impact caused by water pollution. © 2023 IEEE.

关键词： agricultural waste coagulation environmental impact flocculation household waste industrial waste laboratory treatment plant machine learning algorithms MLR pollution RFR sedimentation SVM water treatment

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An Electric Vehicle Solar PV Case Studies Based Demand Response Modernization

An Electric Vehicle Solar PV Case Studies Based Demand Respo...

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

作者： Saravanan, D. Nayanatara, C. Rajkumar, K. Aishwarya, S. Ambika, A. Sri Sairam Engineering College Department of Electrical and Electronics Engineering Chennai India

ISBN: (纸本)9798350394580

View of recent times, there has been an increasing trend focus on renewable energy sources (RESs), like solar photovoltaic systems owing to the significant increase in energy consumption, concerns about the exhaustion of fossil fuels used to generate electricity, and environmental effects from greenhouse gas emissions. The forthcoming stage of electric power generation and distribution will be influenced by the swift advancement of eco-friendly technologies, including renewable energy (RE) combined with plug-in electric vehicles (EV). This paper conducts a comprehensive examination of past and present research concerning PV Utilizing EV and demand response management (DRM), considering a range of DR applications, smart technologies, and load schedule controllers. It delves into the intriguing and swiftly evolving research area that explores the intersection of renewable energy, grid management, and the transition toward electrifying transportation. © 2023 IEEE.

关键词： demand response (DR) Demand Side Management (DSM) Electric Vehicle (EV) Solar PV

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Alcohol Detection and Theft Alert System for Vehicles

Alcohol Detection and Theft Alert System for Vehicles

引用

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

作者： Myvizhi Selvi, V. Sakthivelu, S. Gokula Krishnan, R. Sriganesh, N. Sri Sairam Engineering College Department of Electronics and Communication Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350394580

Our project deals with two major problems that are facing vehicle users right now. One is Vehicle theft. It has rapidly increased in our country. Another problem is drunken driving. Drunken driving is the major cause of road accidents because driving under the influence of alcohol reduces the driver's perception and vehicle control. Manual checking of alcohol using a breathalyzer is done by the police to reduce the problem. However, this method has very little effect as it is not possible to check if every driver is under the influence of alcohol. Another aspect of this project is theft detection. Once the vehicle is stolen, the owner cannot track the vehicle. They do not know where to find the vehicle and the chances of getting their vehicle back are very low. It is so hard to track the vehicle when there is no evidence. This system will keep tabs on and track the whereabouts of the vehicle. © 2023 IEEE.

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Detection of Lung Cancer Using Watershed Algorithm and CNN

Detection of Lung Cancer Using Watershed Algorithm and CNN

引用

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

作者： Vasanthi, A. Pramith Kiran, G.B. Tharun, B. Sri Sairam Engineering College Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350394580

Lung cancer is a serious public health issue that requires better early detection. To establish a novel framework for lung cancer detection, we combine the Watershed Algorithm for feature extraction with the VGG-16 Convolutional Neural Network (CNN) architecture. This comprehensive system has the potential to improve diagnosis accuracy. An advanced feature extraction method, the Watershed Algorithm, segments lung areas while maintaining small features, reducing data loss during preprocessing. These segments are fed into the CNN VGG-16, which is well-known for recognizing complex patterns. To detect small lung anomalies, we fine-tune and train it using a huge dataset of lung CT scans. Our method, which incorporates the Watershed Algorithm and CNN VGG-16, provides a realistic way for early lung cancer diagnosis. © 2023 IEEE.

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Aspect-Based Sentiment Analysis: An Extensive Study of Techniques, Challenges, and Applications

Aspect-Based Sentiment Analysis: An Extensive Study of Techn...

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

作者： Pavithra, S.S. Chitrakala, S. Anna University Ceg Campus Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350394580

Aspect-based Sentiment Analysis(ABSA) has gained significant attention in recent years because of its ability to provide more fine-grained insights into customer preferences. ABSA, an NLP-based data mining technique, focuses on identi-fying user sentiments related to different aspects of a product or service. This paper presents a comprehensive overview of ABSA including aspect extraction, sentiment analysis, and aspect-based summarization techniques, and discusses its challenges, applications, and future scope. In addition, the paper presents a thorough comparative analysis of deep learning-based models for ABSA and also discusses the commonly used datasets. Deep learning-based techniques have produced better outcomes than the traditional ABSA methods. © 2023 IEEE.

关键词： Artificial Intelligence Aspect extraction Aspect-based sentiment analysis Deep learning Machine learning NLP

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A Comprehensive Exploration of Noise Models, Blur Models, Filters and Restoration Techniques

A Comprehensive Exploration of Noise Models, Blur Models, Fi...

引用

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

作者： Malathy, S. Prasanna Devi, S. Rajasekar, V. Srm Institute of Science and Technology Department of Computer Science and Engineering Vadapalani India

ISBN: (纸本)9798350394580

With an objective of restoring a clear image from a distorted version, image restoration is necessary for sophisticated image processing. It employs a mathematical model to address degradation during image acquisition. Noise plays a substantial part in the deterioration of images during their prisoner or transmission. To attack this issue, there exists a wide array of algorithms and filtering ways, each carrying its own set of hypotheticals, advantages, and limitations, all depending on previous knowledge of the noise. Image smoothing is a dynamic and massively retained process in replica processing. The ideal of the conventional deed is to present a compact overview of the most efficacious restoration miniatures attainable on the inquiry. In this study, we will explore and assess the pros and cons linked to different image restoration styles. © 2023 IEEE.

关键词： Blurring Techniques Degradation model Filters Noise Models Restoration Techniques

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Distributed MPC Compensation-Based LFC for Heterogeneous Multi-area Interconnected Power systems 8th

Distributed MPC Compensation-Based LFC for Heterogeneous Mul...

引用

8th International Conference on Life System Modeling and Simulation, LSMS 2024 and 8th International Conference on intelligent computing for Sustainable Energy and Environment, ICSEE 2024

作者： Chi, Xiaobo Li, Xinyi Liu, Xiaolin Jia, Xinchun School of Automation and Software Engineering Shanxi University Taiyuan030031 China School of Mathematical Sciences Shanxi University Taiyuan030006 China The Key Laboratory of Complex Systems and Data Science Ministry of Education Taiyuan030006 China

ISBN: (纸本)9789819602247

This paper addresses the distributed load frequency control (LFC) problem for multi-area interconnected power systems (MAIPSs) with thermal and wind power generations, considering both inter-area and intra-area transmission delays and random packet losses induced by communication networks. Firstly, a heterogeneous framework of MAIPSs is constructed, where a networked distributed model predictive control (DMPC) scheme is proposed to compensate for transmission delays and random packet losses. Based on this framework, we then developed a distributed closed-loop LFC system model for heterogeneous MAIPS. Subsequently, a Luenberger observer is constructed to estimate the system state of the local area, and a networked feedback controller is designed to ensure stability with a certain H∞ performance level for the networked MAIPSs. Moreover, stability conditions and controller design criteria are provided by using the Lyapunov-Krasovskii stability theory. Finally, the control performance of the proposed method is verified through an example of a two-area interconnected power system. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Predictive control systems

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