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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131-140 订阅

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Diabetic Care: NIG

Diabetic Care: NIG

引用

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

作者： Brindha, S. Ramanakrishnan, A. Kirthika, R. Monish Ram, V.S. Electronics and Communication Engineering Sri Sairam Engineering College Chennai India

ISBN: (纸本)9798350394580

These days, diabetes is a serious illness in our nation. A person with diabetes mellitus must constantly check their blood glucose levels to ensure optimal insulin consumption. The patient utilizes a glucometer or an invasive procedure in the lab to monitor their blood sugar levels. They must prickle their finger in order to use the glucometer, which hurts. Additionally, tissues get stiff with repeated finger pricks. We came up with the concept of a non-invasive glucometer to prevent this. We can test the glucose level by measuring the intensity received after the light has been sent, using a red laser and an ambient light sensor. They won't have to poke themselves, making it more pleasant to use. Additionally, using this gadget will be more portable. The Raman spectrograph will be used to assess the light's intensity. Accuracy will be much improved by the training and testing of the datasets. The graph of the weak will be displayed to maintain their glucose level. © 2023 IEEE.

关键词： Ambient light sensor healthcare non-invasive glucometer red laser

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Harvestgo-A Versatile Weed Identifier Using AI

Harvestgo-A Versatile Weed Identifier Using AI

引用

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

作者： Ilayaraja, R. Harini, S. Kathiravan, S. Aishwariya, A. Sri Sai Ram Engineering College Department of Instrumentation and Control Engineering Chennai India

ISBN: (纸本)9798350394580

In today's world, everywhere needs technological development so that the work can be done simultaneously to get good results. In the future, automation will dominate all areas, especially agriculture. Most problems are caused by vegetation surrounding the plants and preventing them from growing. The aim of the project is to create an artificial intelligence-supported weed detection and removal system for coconut farms. We use image processing and sensing tools to install TENSOR-FLOW-based AI models on inexpensive hardware such as Raspberry Pi. The technology instantly collects images, detects weeds growing on coconut trees, and initiates the necessary cleaning process while preserving the coconut plants. Our approach is to improve weed control strategies, increase coconut yields, and improve agricultural sustainability through agricultural automation. The report describes the process, hardware configuration, artificial intelligence model development, and live operation, demonstrating the project's efficiency and productivity potential in agriculture. © 2023 IEEE.

关键词： Raspberry Pi TensorFlow-Based Model Weed Management

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Data Leakage Vulnerability Assessment

Data Leakage Vulnerability Assessment

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

作者： Periasamy, J.K. Cindy Catherine, A. Elamathi, R. Subhiksha, S. Sri Sairam Engineering College Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350394580

Data leakage, the unauthorized transmission or exposure of sensitive information, poses a severe threat to individuals, businesses, and institutions in the digital age. As the volume and importance of data continue to surge, safeguarding against data leakage becomes an imperative. This paper presents a comprehensive exploration into data leakage analysis, aiming to enhance understanding, detection, and mitigation of data leakage risks. We delve into various aspects, including the methodologies, challenges, case studies, and emerging technologies in data leakage analysis. By scrutinizing real-world incidents and sophisticated analysis techniques, we propose strategies and best practices to fortify data security, minimize vulnerabilities, and enable proactive measures in mitigating potential data breaches. The insights presented in this paper serve as a valuable resource to empower organizations and individuals in their ongoing efforts to protect sensitive data and uphold privacy in an increasingly interconnected world. © 2023 IEEE.

关键词： Language Structure Analysis Linguistics Analysis Natural Language Processing Semantic Analysis Semantic Role Labeling

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Agriculture Land Connect: A Platform for Efficient Agricultural Land Rental and Smart Farming

Agriculture Land Connect: A Platform for Efficient Agricultu...

引用

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

作者： Rajeswari, M. Balaji, S. Tushanth, S. Sri Sairam Engineering College Department of It Chennai India

ISBN: (纸本)9798350394580

Food, as a fundamental necessity, plays a pivotal role in our lives. However, the world grapples with mounting agricultural challenges, including soaring food prices and limited access to arable land. In response to these pressing issues, Agriculture Land Connect emerges as an innovative web-based platform. It not only streamlines agricultural land rental processes and advocates sustainable farming practices but also provides guidance on optimizing farming based on soil type, climatic conditions, and seasonal variations. The platform's core objectives encompass reducing food prices, improving food accessibility, and empowering farmers with insights into soil quality and eco-friendly farming practices. Offering a comprehensive suite of features, including user management, detailed land listings, robust search capabilities, secure payments, efficient administration, and a feedback system, the platform extends its impact beyond agriculture by highlighting technology's potential to revolutionize traditional industries. As we continue to expand and accumulate data, the platform's contribution to efficient land use, enhanced yields, and responsible farming practices will become increasingly apparent. © 2023 IEEE.

关键词： Agricultural challenges Climatic conditions Food accessibility Soil quality

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AI-powered Traffic Lights

AI-powered Traffic Lights

引用

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

作者： Brihadeeswaran, N. Prathipa, S. Krishna Vamsi, K. Computer Science and Engineering Sri Sairam Engineering College Chennai India

ISBN: (纸本)9798350394580

With the ever-increasing population, automobiles production and sales have seen a massive percentage increase. With the increase in production, there has also been an increase in traffic congestion. Most of the traffic occurs because of the inefficient traffic light systems in intersections where several streams of traffic need to cross each other. Present-day traffic signals are operated in three ways, either the signals are based on timers or a manual controller who regulates the signal or an actuated signal. Traffic jams cause many environmental issues such as air pollution which leads to Global warming as well as many respiratory problems. The proposed system gives a solution to traffic congestion by using the cameras in signals, determining the traffic density in each lane, and assigning priority to each lane to be cleared. The traffic density of each lane is determined by pre-trained machine learning algorithms. This system is also cost-effective since we need not install any additional hardware technologies∗ (IR sensors, proximity sensors) instead use the existing cameras that are already installed. The system assigns lanes with emergency vehicles (Ambulances, Firetrucks, etc.) with the highest priority irrespective of the lane's traffic density. The system focuses on reducing the travel time of vehicles and optimizing traffic flow, which in turn reduces the usage of natural resources. © 2023 IEEE.

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Fake News Classification in Twitter Data Using Innovative K Nearest Neighbor Comparing Logistics Regression

Fake News Classification in Twitter Data Using Innovative K ...

引用

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

作者： Ajay Kumar, C.H. Surendran, R. Madhusundar, N. Saveetha Institute of Medical and Technical Sciences Department of Electronics and Communication Engineering Saveetha School of Engineering Chennai India Saveetha Institute of Medical and Technical Sciences Department of Computer Science and Engineering Saveetha School of Engineering Chennai India

ISBN: (纸本)9798350394580

Improve the accuracy of identifying fake news on Twitter by employing the Advanced K Nearest Neighbor Algorithm then evaluating the results against those obtained through Logistic Regression Algorithm. Materials and Methods: The research is divided into two groups, each with a sample size of 42 individuals. The first group, comprising 21 participants, will apply the Advanced K Nearest Neighbor Algorithm, while the second group, also consisting of 21 participants, will use the Logistic Regression technique. The study has been designed with G power 80% parameters of α=0.05 and beta=0.2. Result: Innovative K nearest neighbor Algorithm 81.55 % identifies objects and increases the measured accuracy over Logistic Regression 79.0 % with implication value of 0.001 (p © 2023 IEEE.

关键词： Classification Fake news Innovative K Nearest Neighbor Algorithm Logistic Regression Machine Learning social media

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Various Technologies on Object Detecton and Natural Language Processing for Visually Impaired People

Various Technologies on Object Detecton and Natural Language...

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

作者： Susitra, K. Dineshsakthi, M. Sheik Mohamed, S. Krishna, Venkata Sai Sri Sairam Engineering College Computer Science and Engineering Chennai India

ISBN: (纸本)9798350394580

Modern technology has ushered in a transformative era for individuals with physical disabilities, offering new possibilities for enhanced independence. This proposal introduces a groundbreaking mobile application meticulously designed to empower people with disabilities by addressing common challenges encountered during daily life. The central focus of this app is to harness cutting-edge technology to assist individuals with physical disabilities in achieving greater autonomy. Two core functionalities are at the heart of this solution: object detection and multilingual voice-to-text conversion. © 2023 IEEE.

关键词： object detection physical disabilities voice to text

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Digital Glamour: Exploring the Intersection of Facial Makeup and Augmented Reality 1st

Digital Glamour: Exploring the Intersection of Facial Makeup...

引用

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

作者： Bhat, Vinayambika S. Shetty, Deepthi Kotian, Deepthi Mangalore Institute of Technology and Engineering Moodabidri India

ISBN: (纸本)9783031756078

The COVID-19 global pandemic has affected the world in such a way that it has forced new systems to inhibit Augmented Reality (AR) technologies so as to avoid physical contact and also the business have turned to remote work mode. The Augmented Reality solution to help us through pandemic challenges and it may just represent the future of world business. Virtual try-on is an advanced way of trying a product. In this project, we examined and reviewed the existing works where they augment the face data and based on training models employed output is displayed as a blend of virtual and real object. Among many approaches, our emphasis is on models which inhibit deep learning and machine learning models with generative adversial networks which are faster and more accurate. We are comparing various technologies for e-business that are trying to create a virtual image using web camera. The proposed model will work in the following way: When a person enters beside camera’s vision, Camera will start capturing the live video stream of him which is nothing but a short video of specified frames. The deep learning algorithm works in background will capture the facial encodings of the person based on product which he wishes to try. Each time a new person enters into our portal (when he come’s infront of camera), dynamic input of his face video stream is taken and based on the product which he/she wishes to buy facial encodings of that part is extracted and virtual product will be blended along with specified facial part. Final product will be a virtual try-on experience where in a person could actually visualize how his product would look when he actually wears it. The enhanced product is created by integrating deep learning and classical machine learning approaches, with the input given to the convolutional neural network being processed. For better interface with the user a website built using HTML and CSS is used to develop a front-end framework. © The Author(s), under exclusi

关键词： Adversarial machine learning

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Climatic Efficiency Analysis of Ten Leading UK Offshore Wind Farms: A Data-Driven Approach 8th

Climatic Efficiency Analysis of Ten Leading UK Offshore Win...

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： Ma, Liyang Li, Chenyi Zhang, Long Department of Electrical and Electronic Engineering University of Manchester Manchester United Kingdom

ISBN: (纸本)9789819602315

As wind energy becomes increasingly important in global energy systems, accurately evaluating the performance of wind farms is essential for understanding wind generation efficiency and fostering sustainable development. The aim of this paper is to assess wind power generation efficiency under different climatic wind conditions. A data-driven approach is used to simulate the power generation of ten leading wind farms in the UK, using real wind data and geographic information while considering wake effects. Furthermore, to evaluate whether these wind farms perform optimally when climate-related wind patterns change, we modify the layouts of the wind farms and compare their performance with the original designs. Extensive results from 15 years (2008 to 2023) of wind data show that the originally designed layouts of these ten leading wind farms will no longer be optimal when the wind resource changes. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Offshore wind farms

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Optical and Anti-Oxidant Applications of Zinc Sulfide Doped Nano Biomaterial

Optical and Anti-Oxidant Applications of Zinc Sulfide Doped ...

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

作者： Selvakumar, C. Geetha, V.T. Govindaraju, C. Amirthavarshini, T. Sri Sairam Engineering College Department of Chemistry Chennai Tamil Nadu Tambaram India Vidya Mandir Arts and Science Department of Chemistry Department of Chemistry Katteri Tamil Nadu Uthangarai India

ISBN: (纸本)9798350394580

Chitosan is a biomaterial resultant from sugar substance of crab, shellfish, lobster and shrimp. It shows good results in optical, anti-oxidant and catalytic property. Present work explains about enhance the activity of chitosan by doping with zinc sulfide and suppress the size of material in nanometer. Structure and morphology of material were studied using FTIR, XRD, and SEM analysis. Thermal stability was study using TGA and DSC methods. © 2023 IEEE.

关键词： Anti-oxidant Catalyst Chitosan Thermal Stability

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