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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 3247 条记录，以下是191-200 订阅

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Aquaculture Water Quality Monitoring System

Aquaculture Water Quality Monitoring System

引用

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

作者： Jayandan, S.A. Prathibanandhi, K. Sahana, A. Agilesh, M.B. Dhanush Moorthy, R. Sri Sai Ram Engineering College Incubation Chennai India Sri Sai Ram Engineering College Eee Department Chennai India

ISBN: (纸本)9798350394580

Aquaculture plays a pivotal role in meeting the growing global demand for seafood, but its sustainability is contingent upon maintaining optimal water quality conditions. This paper presents the design and implementation of an advanced Aquaculture Water Quality Monitoring System (AWQMS) that leverages sensor technologies, data analytics, and real-time communication to ensure the continuous assessment and management of water quality parameters in aquaculture facilities. The AWQMS incorporates a network of sensors to measure crucial parameters such as dissolved oxygen (DO), pH, temperature, ammonia, nitrate, and turbidity. These sensors provide real-time data, which is processed and analyzed using machine learning algorithms to detect deviations from ideal water quality conditions. © 2023 IEEE.

关键词： Arduino. Sensors Raspberry pi

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Remindify: A Seamless Automation for Daily Tasks

Remindify: A Seamless Automation for Daily Tasks

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

作者： Devi, A. Sangeerani Akilaandeswari, K. Bhavantee, C. Shali, A. Kavitha, D. Sri Sairam Engineering College Department of Computer Science and Engineering Tamilnadu Chennai India

ISBN: (纸本)9798350394580

In today's fast paced world, managing daily tasks can be difficult. In order to avoid this challenge, the concept of reminder system is used in homes to remind the people about their day to day regular activities. The paper mainly focusses on old age people in reminding them to take their pills regularly at the stimulated time. The system is implemented by installing google assistant on raspberry pi and configured with a customized AI speaker. Rasa is used for text and voice based interactions and it is integrated with the speaker. The system also reminds to switch off the fan, light when not in use and also help us to complete the task which is not done. © 2023 IEEE.

关键词： Google Assistant IOT Rasa Raspberry Pi

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Zahira the Thief

Zahira the Thief

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

作者： Kalapana, R.A. Kumar, V. M. Senthil Kamalraj, M. Sri Sai Ram Engineering College Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350394580

Accounts on social networks are tracked and found. If a hacker assaults a legitimate user, our system permits the attacker to keep going until our system has all the necessary data on the attacker. Based on the information provided by the user, we create Honeywords, and the original secret key is transformed into another format and saved with the Honeywords. We set up an intermediate server, a shopping server for online shopping, and a cloud server to keep track of user account information. Attackers with access to the original user's email account can quickly change the cloud server's password. In order to identify the attacker quickly, he is invited to conduct an attack in this project. The attacker now logs in to the purchase site, where he is inadvertently tracked and is permitted to make purchases. The server recognizes the attacker, notifies the original owner of the information, and prevents the attacker from carrying out any transactions from his original account. © 2023 IEEE.

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Convenient Way of Accessing Multimedia Functions Using Ml and Open CV

Convenient Way of Accessing Multimedia Functions Using Ml an...

引用

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

作者： Hemavathi, C. Vivekanandhan, G. Cibi, C. Abhinav Krishna, R. Velmurugan, K.Jayasakthi Kavitha, D. Sri Sairam Engineering College Cse Department India Saveetha School Cse Department India

ISBN: (纸本)9798350394580

In current world, most of the activities are machine-used and the existing systems to human computer interaction is not sufficient or efficient. So this paper demonstrates the idea to facilitate the interaction by using hand movement with help of Arduino sensor. This innovative approach harnesses the power of gesture recognition, enabling users to control and manipulate digital interfaces effortlessly. By bridging the physical and virtual realms, this technology opens new avenues for creative expression, efficient task execution, and enhanced user experiences. This paper delves into the realm of human-computer interaction through Arduino sensor-based hand movement, exploring the underlying principles, applications across various domains, and the potential to reshape the way we interact with computers. © 2023 IEEE.

关键词： Arduino sensor Gesture recognition

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IOT Based Optimized Load Scheduling and Automation on Charging EV

IOT Based Optimized Load Scheduling and Automation on Chargi...

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

作者： Maheswari, E. Balaji, V. Ezhilarasi, G. Lakshmi, D. Srikanth, R. Goakul, B. Sri Sai Ram Instiute of Technology Department of Eee Chennai India MAI-NEFHI College of Engineering and Technology Department of Electrical Engg. Eritrea Amet Deemed to Be University Department of Eee Chennai India Mu Sigma Business Solutions Pvt. Ltd Chennai India Tata Consultancy Services Chennai India

ISBN: (纸本)9798350394580

To ensure the safety of vehicles and riders, researchers are still working on accurate monitoring, estimation of State of Charge (SOC), State of Health (SOH), and early detection of rechargeable battery failures in electric cars. The locally optimum scheduling strategy is robust against the dynamic arrival of EVs and scalable to a large EV population. In order to successfully flatten the demand profile of the electric system, an intelligent scheduling technique may be used to schedule EV charging patterns. This will reduce operating costs and potential capital expenditures. An increasingly important stage in the adoption of smart grids is intelligent scheduling for EV charging and discharging. © 2023 IEEE.

关键词： Charging Unit Cloud Server EV battery Internet of things Microcontroller Node MCU

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Location Based Disaster Report

Location Based Disaster Report

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

作者： Fathima Mubarakkaa, M. Anish, T.P. Balasubramaniyan, N. Selvakumar, C. Balamurugan, S. Sri Sairam Engineering College Tamilnadu Chennai India R M K College of Engineering and Technology Tamilnadu Chennai India

ISBN: (纸本)9798350394580

Disasters of various types and magnitudes afflict regions worldwide, necessitating a comprehensive understanding of their causes, characteristics, and impacts. Preparedness measures are paramount in mitigating the fear and losses that accompany such events. This research addresses the imperative for disaster preparedness by developing a novel informatics approacha region-wise repository and prediction web application. The primary objective of this project is to lower the risk of disaster impact by creating a repository that not only catalogs the types of disasters but also recommends necessary precautions, contingent upon the user's location. Each geographical region's susceptibility to specific disasters is unveiled, facilitating informed decisions regarding housing construction and disaster resilience. Furthermore, this paper emphasizes the colossal human and economic toll of disasters and highlights the pivotal role of the web application in constructing a region-wise disaster repository. By favor of web scraping techniques and machine learning algorithms, this application generates detailed predictions and offers needed precautionary guidance. This research represents a significant advancement in disaster preparedness, empowering individuals and communities to proactively safeguard against the catastrophic consequences of unforeseen events. © 2023 IEEE.

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An Analysis of the Strategic Approach to Utilizing Deep Learning for the Purpose of Predicting Stock Prices

An Analysis of the Strategic Approach to Utilizing Deep Lear...

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

作者： Venkatesh, P. Ilakkiya, T. Ramu, M. Manikandan, M. Senthilnathan, C.R. Sri Sairam Engineering College Department of Management Studies Chennai India Sri Sairam Institute of Technology Chennai India Sri Sairam Engineering College Chennai India

ISBN: (纸本)9798350394580

Stock price forecasting for extended periods of time is notoriously challenging, so it pays to create a solid algorithmic groundwork before delving in. Due to the interconnected nature of stock prices imposed by market dynamics, accurate price forecasting is difficult. The suggested method employs artificial intelligence techniques like recurrent neural networks and Long Short Term Memory to anticipate the share price based on market data. The system's visualizations can now be informed by the training and validation outcomes obtained across several dimensions of input data. The results are promising, suggesting that an LSTM model can be used to forecast the stock market. © 2023 IEEE.

关键词： Long & Short term memory Machine Learning Price forecasting Risk Stock Market prediction

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Image-Based Plant Disease Detection Using Deep Learning

Image-Based Plant Disease Detection Using Deep Learning

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

作者： Gayathri, S. Pradeep, S. Aziz, Azrina Abd Sri Sairam Engineering College Department of Electronics and Communication Engineering India Universiti Teknologi Petronas Department of Electrical and Electronics Engineering Malaysia

ISBN: (纸本)9798350394580

Due to the nation's rapid population expansion and rising food consumption, agriculture is essential to India's economy and people. Consequently, agricultural yields need to rise. Crops produce so little as a result of diseases brought on by bacteria, viruses, and fungi. Adopt techniques for identifying plant diseases to stop it. To diagnose diseases since they lay a high emphasis on the data themselves and provide significance to the results of certain tasks using algorithms. Here, a method for employing CNN to find plant diseases has been proposed. To ascertain the size of the sick area and the time complexity, simulation studies and analyses are conducted on sample photos. It is accomplished using image processing methods. There are 32 different classes, including three courses focused on plants (apple, potato, and tomato), have been fed to the model. The total number of sick plant leaves is 24, including those that are impacted by diseases like Apple Rust and others. Different performance matrices are built and jointly trained using the ResNet architecture to categorize the images of sick and healthy leaves for the same produced datasets of leaves. When compared to other models like the Random Forest and SVM, the model's output exhibits superior accuracy, which is 99.2%. © 2023 IEEE.

关键词： Accuracy Convolutional Neural Network Diseased and Healthy leaf ResNet

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Cybug - The Malicious File Detecting Software

Cybug - The Malicious File Detecting Software

引用

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

作者： Saradha, K.R. Kavin, T. Udayakumar, G. Abdul Kalam, K.U.A. Gayathri, S. MacRiga, G. Adiline Sri Sairam Engineering College Department of Information Technology Chennai India

ISBN: (纸本)9798350394580

The most significant fact of ages is that when we install Antivirus software, our system is safe from viruses. But what if we prove it wrong, The most classic and effective way to hack or spread viruses into systems is by malicious files. These are done by sending an infected file to the user and this file bypasses the antivirus software using its blind spots to its advantage to evade the software. When you just click on it the virus file also runs in the background and the system's security is being compromised. So, We have planned to build full-fledged software that will be going to detect these infected files. © 2023 IEEE.

关键词： File Malicious Software Virus

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Prediction of Depression using the KNeighbors-Classifier Algorithm Compared for Improved Accuracy with Support Vector Machine

Prediction of Depression using the KNeighbors-Classifier Alg...

引用

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

作者： Mahesh, Biyyapu Amanullah, M. Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Computer Science and Engineering Tamilnadu India

ISBN: (纸本)9798350394580

The intention of the research is to regulate the level of precision via comparing the Support-Vector-Machine(S-V-M) algorithm and KNeighbors Classifier for predicting Depression. The proposed machine learning method aims to enhance the accuracy of depression prediction using the S-V-M algorithm, in evaluation with the Novel KNeighbors Classifier. The training dataset comprises two groups, with 10 individuals in each group. The example size calculation conducted via a pretest control of 80%, a significance level of 0.05%, then a 95% sureness interval. When associated to the current system, which has an accurateness of only 84%, it remained originate that the future method attained 95% accuracy. Here exists no consequence amid the S-V-M Model then KNeighbors Classifier Prototypical grounded on a example T-test through the p value is 0.000 (p © 2023 IEEE.

关键词： Depression Machine Learning Mental Health Novel KNeighbors Classifier Prediction S-V-M

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