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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91-100 订阅

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Sustainable Cultivation of Algae for Renewable Fuel Using IOT

Sustainable Cultivation of Algae for Renewable Fuel Using IO...

引用

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

作者： Shivaanivarsha, N. Sriram, A. Saravaanan, S. Rajesh, V. Sri Sairam Engineering College Department of Electronics and Communication Engineering Chennai India

ISBN: (纸本)9798350394580

Biofuels are the alternate type of fuel and which completely carbon neutral fuel. The fuel produced from the algae are the Third-generation fuel. The proposed process involves the cultivation of algae in a sustainable manner. The process involves separation of biomass from the cultivated algae, dried and extracting oils and lipids for fuel production using chemical/physical methods. The Bagasse (i.e., the dried material after extracting the oil from the algae biomass) can be used as a manure as it has high nitrogen and protein content. The system monitors the growth of the algae with various sensors, it monitors the CO2, Light intensity, Optical Density, Humidity and Temperature of the Bioreactor. These data are collected and processed with the help of IOT. © 2023 IEEE.

关键词： Algae Biofuel Bioreactor IOT

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IoT Based Anti-Theft Detection System

IoT Based Anti-Theft Detection System

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

作者： Arun, G. Ajay, B. Valarmathi, R. Sri Sairam Engineering College Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350394580

This abstract presents an IoT-based anti-theft detection system using Arduino, designed to enhance security systems in personal and commercial This system combines sensor technology, Arduino microcontrollers, and cloud connectivity to create an edge a strong anti-theft remedy. Sensors such as motion detectors, door/window contact sensors, vibration sensors, etc. are strategically placed in the target area to detect unauthorized activities. Users have instant access to information on their mobile devices, allowing them to take action faster. The cloud-based architecture not only facilitates remote monitoring but also enables data storage and analysis for further security enhancements. The proposed IoT-based anti-theftdetection system provides an effective and scalable solution to reduce theft risk and ensure the security of valuable assets. © 2023 IEEE.

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Biometric MFA in Smart Automobiles

Biometric MFA in Smart Automobiles

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

作者： Ganesan, J. Prathipa, S. Anantha Kirishnan, S. Sri Sairam Engineering College Department of Computer Science Chennai India

ISBN: (纸本)9798350394580

For use in autonomous vehicles, researchers are developing biometric multi-factor authentication (MFA). Transmitters are now often used as vehicle keys because to the ubiquitous nature of automobiles as a mode of mobility. Yet, there is always the risk that this method might be hacked or stolen from. It is suggested that we use biometric identification tools like iris and facial scanning software to solve this problem. If you don't want to utilize fingerprints or facial recognition, the app also supports MFA with a password or PIN. SHA hashing is used to encrypt data in transit to protect customer privacy. Data is never at risk because the system can function independently of the cloud. The primary purpose of the project is to improve the safety of smart car unlocking systems, with the secondary objectives of decreasing vehicle theft and increasing user security as a close second and third. © 2023 IEEE.

关键词： biometrics cloud-based services data encryption facial recognition fingerprint scanning iris recognition multi-factor authentication password pin-based authentication security SHA hashing smart automobiles

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Density-based Traffic control and Stolen Vehicle Detection Using Arduino and RFID

Density-based Traffic Control and Stolen Vehicle Detection U...

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

作者： Chithra, V. Akash, A. Nitish Rao, K. Sivaram, V. Tharun, D. Naveen, B.M. Sri Sairam Engineering College Department of Electrical and Electronics Engineering Chennai India

ISBN: (纸本)9798350394580

In India, traffic problems are a major concern, especially for people residing in major cities and sub-urban areas where traffic must be monitored and cleared manually by traffic police due to the sheer population of the nation which can lead to people being stuck in traffic for hours on end. Addressing this problem, we have proposed a solution involving density-based traffic management which also includes a stolen vehicle detection system, identifying red light-violating vehicles, stolen vehicle detection, and emergency vehicle detection for free flow of traffic for emergency vehicles using Arduino, GSM module and RFID. © 2023 IEEE.

关键词： Arduino Density-Based traffic control GSM module RFID Stolen vehicle detection

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Empowering Deaf and Mute Children through Computer Vision

Empowering Deaf and Mute Children through Computer Vision

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

作者： Lakshmi, G. Pranav, S. Sathya Prakash, S. Deepak, S. Sri Sairam Engineering College Electronics and Communication Engineering Chennai India

ISBN: (纸本)9798350394580

Through the use of deep learning algorithms, this project aims to create a real-time video-based interactive sign language translation education system for people who are deaf or hard of hearing and have trouble learning how to communicate with others. The Flask framework and a pre-trained model for classification are part of the system to improve understanding and communication with sign language. In the future, the project proposes employing python libraries and tensor flow for image input prediction, which can effectively solve many communication problems. The proposed system presents an innovative and engaging approach to teaching and boosting communication abilities in deaf and dumb children. This paper highlights the proposed system's methodology, implementation, and results, demonstrating its effectiveness and potential for further development. © 2023 IEEE.

关键词： Classification module Flask framework Hand detector Open cv Sign language Tensor flow

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Design of Piezoelectric-Enabled Wireless Sensor Nodes: Self-Powered Solutions

Design of Piezoelectric-Enabled Wireless Sensor Nodes: Self-...

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

作者： Surya, S. Yogesh, V. Varsha, S. Sandeep Krishnan, S. Madhan, H. Sri Sai Ram Engineering College Department of Electronic and Communication Engineering Tamil Nadu Chennai India Sri Sai Ram Engineering College Department of Mechanical Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350394580

This paper focuses on the implementation of WSN powered by an energy harvesting circuit. It describes potential energy extraction techniques to power a WSN effectively. Wireless Sensor Networks (WSNs) have emerged as a transformative technology in the realm of data sensing, collection, and dissemination. Piezoelectric energy is harvested using the energy harvesting circuit, converted into dc voltage and then supplied as a power source to WSN. The main goal of this paper is to self-generate energy from energy harvesting circuit while simultaneously monitoring and controlling the parameters of temperature, humidity, pressure, and air quality in real-time. © 2023 IEEE.

关键词： energy harvesting piezoelectric WSN

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Employment Forum Using Machine Learning

Employment Forum Using Machine Learning

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

作者： Vasanthan, P. Sai Vignesh, S. Saiharikrishnan, S. Sri Sairam Engineering College Department of It Chennai India

ISBN: (纸本)9798350394580

The candidate ranking problem is addressed in this work by utilizing machine learning algorithms to evaluate job candidates in online recruitment systems. Our method is put into practice as a prototype system, whose functionality is demonstrated and assessed in a real-world recruitment scenario. By performing language analysis on their blog posts, the proposed approach infers a set of objective criteria about the candidates' personalities from their profiles. Our method was found to perform consistently when compared to human recruiters;as a result, application ranking and personality mining may be automated with confidence. We examine the effects of HRM practices including recruiting and selection, career planning and development opportunities, work-life balance, etc. in the whole scheme of things. © 2023 IEEE.

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Text to Audio Listener Tool in Tamil Language for Dyslexics

Text to Audio Listener Tool in Tamil Language for Dyslexics

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

作者： Prathipa, S. Karthiga, A.V. Deepa Lakshmi, S. Nishanthi, G. Sri Sairam Engineering College Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350394580

Our project introduces customizable text-to-speech technology in Tamil to enhance literacy development for dyslexic children, addressing their phonological-core deficits. This adaptable system identifies text within PDFs and vocalizes it while allowing dyslexic users to customize word presentation. Additional modules include sound recognition, letter and object identification, and kinesthetic activities for multisensory learning. Extensive user testing with dyslexic children yielded promising results, significantly improving reading comprehension and engagement. This research contributes to education technology and learning disabilities by offering a comprehensive solution. As technology's role in education expands, tailored interventions hold transformative potential, promising inclusive and effective literacy development. © 2023 IEEE.

关键词： Dyslexia Text-to-Speech Technology Literacy Development Inclusive Education Gamification

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A Comprehensive Review of Optimization Techniques for Automatic Voltage Regulator controllers 1st

A Comprehensive Review of Optimization Techniques for Automa...

引用

1st International Conference on intelligent systems in computing and Communications, ISCComm 2023

作者： Ali, Rumana Bhat, Vinayambika S. Electronics and Communication Engineering Mangalore Institute of Technology and Engineering Moodbidri India Electrical and Electronics Engineering Adichunchanagiri Institute of Technology Chikmagalur India

ISBN: (纸本)9783031756078

The article presents a latest literature review on issues related to the automatic voltage regulators (AVR), conventional methods for voltage regulation, application, and advancement in Voltage regulation techniques. The article also includes review of optimization of the AVR with different controllers used by researchers for efficient performance of the power system. Modern-day power system networks are intricate plus prone to a number of risks. The networks are vulnerable to instability because operating a power system is complex and unreliable. One of these problems is rotor-angle instability, which, if correctly resolved, could cause system failure. AVR is vital for the operation of power systems. Automatic voltage regulators are utilised in power systems to keep an alternator's terminal voltage at a set point. AVR controls the evenness of the terminal voltage by adjusting the generator's exciter voltage. A power system stabilizer (PSS) is essentially a power oscillation damping (POD) regulator that is used to increase rotor angle stability. AVR PSSs must be properly designed, which is a difficult yet necessary process. Several approaches are put out in the literature for the effective blueprint of PSSs or POD controllers. This provision includes an up-to-date overview of the AVR and PSS as well as optimisation methods. Based on this review, it can be imparted that there is plenty of room for developing AVR and PSS furthermore in a effective and reliable way, pondering quite a lot of uncertainties that could appear while operating current power systems. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Three term control systems

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Estimation of Brain Age from MRI Images Using Convolutional Neural Network and Compared with K-Nearest Neighbor to Improve the Accuracy

Estimation of Brain Age from MRI Images Using Convolutional ...

引用

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

作者： Karthik, P. Navaprakash, N. Saveetha School of Engineering Simats Department of Electronics and Communication Engineering Chennai India

ISBN: (纸本)9798350394580

The research aims in enhancing the precision of brain age estimation from MRI scans through the application of Convolutional Neural Networks (CNN) and to conduct a comparative analysis with the K-Nearest Neighbor (KNN) method. Kagle data is used in the Convolutional neural network (CNN). The study involves a comparison between the CNN algorithm and the K-Nearest Neighbor (KNN) method. Two groups, labeled as group 1 and group 2, each comprised 20 samples. Poor estimation of data collection is improved by using CNN with KNN at the accuracy rate of 94.31% to accuracy of 93.08%. The obtained value for the independent sample t-test is 0.029 (p © 2023 IEEE.

关键词： Brain age estimation dementia classification disabilities Innovative Convolutional neural network K-Nearest Neighbor MRI images Ranking loss

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