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3rd international conference on Advances in computing, Communication control and Networking, ICAC3N 2021

作者： Kumar, Kundan Singh, Ajay Shanker Shubham, Kumar Anandhan, K Ranjan, Nikhil Galgotias University School of Computer Science Engineering Uttar Pradesh Greater Noida India

ISBN: (纸本)9781665438117

Today we are living in the era where information is the key of getting success in the field of electronic business. Today's business industry is ruled by information and internet. The developing areas of electronic business has its impact on the inflation and CPI(Consumer Price Index). Self-Driven or we can say that automatic quick-witted cobweb, data extractor or web scrappers are the software which we can use to wring out the information which is available on the online platform. In this paper we are going to proposed a scrapper which is based on a object oriented programming language which is very popular among us i.e. python. The main motive of our project is to make the information wrenching process very easy. In this process there are various steps which must be followed to get well cooked information. © 2021 IEEE.

关键词： Python

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An automatic White Balance Algorithm via White Eyes 10th

An Automatic White Balance Algorithm via White Eyes

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10th international conference on Computer engineering and Networks, CENet 2020

作者： Feng, Yuanyong Lu, Weihao Zhang, Jinrong Li, Fufang School of Computer Science and Cyber Engineering Guangzhou University Guangzhou510006 China School of Mechanical and Electrical Engineering Guangzhou University Guangzhou510006 China

ISBN: (纸本)9789811584619

Aiming to tackle the shortage of traditional white balance algorithms on face image, an eye white based algorithm is proposed under the assumption of stability of eye white in YCrCb color space. It first compares the eye white parts of input image with standard ones under normal white light source, to produce a gain coefficient, then corrects the color cast to the image. The experiments show that our method overcomes traditional counterparts both in subjective vision viewpoint and objective evaluation while retains good applicability and simple implementation. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Face recognition

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Application of Repetitive control and ANFIS-PI Compound control Strategy in APF 2

Application of Repetitive Control and ANFIS-PI Compound Cont...

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2021 2nd international conference on electrical Technology and automatic control, ICETAC 2021

作者： Zhang, Mengtao Sui, Tao College of Electrical Engineering and Automation Shandong University of Science and Technology Shandong Qingdao266590 China

In order to effectively solve a series of problems caused by harmonics in power system, an active power filter based on ANFIS-PI and repetitive control is designed. The traditional single control method cannot balance control accuracy and response speed, so a compound control strategy is adopted. Repetitive control can produce the same output as the harmonic current, so it can achieve zero steady-state error tracking compensation for each harmonic, but its dynamic performance is not good. As a traditional control method, the PI control method has a fast response speed, but in the actual application process, when the load changes suddenly, that is, when the system parameters change, its tracking effect is not ideal. Therefore, a composite control strategy of ANFIS-PI and repeated control is proposed. It has been proved that its compensation accuracy and dynamic response speed have been significantly improved. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Error compensation

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Brain Stroke Prediction Using Machine Learning Techniques

Brain Stroke Prediction Using Machine Learning Techniques

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international conference on Electronics, Communication and computing Technologies (ICECCT)

作者： Nagaraju Devarakonda Bethu Lokendra Sri Sai Upadrashta Pravalika Satuluri Naganjaneyulu Computer Science VIT-AP University Amaravathi India Computer Science Lakireddy Bali Reddy College of Engineering Mylavaram India

In a human life there are alot of life-threatening consequences, one among those dangerous situations is having a brain stroke. When part of the brain does not receive sufficient blood flow for functioning a brain stroke strikes a person. This is most often due to a blockage in an artery or bleeding in the brain. When brain cells are deprived of oxygen for an extended period of time, they die. If enough brain cells in this area die, the damage becomes irreversible and you may lose the ability you once had control over. However, restoring blood flow can prevent or at least limit the severity of this type of damage. Therefore, stroke treatment is time-critical. Different areas of the brain control different abilities hence the symptoms for a brain stroke are not constant for everyone. The brain stroke is what a heart attack does to the heart is what a stroke does to the brain. When a stroke occurs, part of the brain loses its blood supply, leaving that area of the brain without oxygen. Without oxygen, the affected brain cells are starved of oxygen and stop functioning normally. Strokes are very common. Stroke is the second leading cause of death worldwide. This paper is based on the prediction of brain stroke using machine learning algorithms which helps to rehabilitate the patient so that one can gain their life back to normal.

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Implementation of automated framework in healthcare problems throughan intellectual machine learning approach

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AIP conference Proceedings 2024年第1期2816卷 080006-080006页

作者： Kapula, Prabhakara Rao Rajalakshmi, R. Rajagopal, Balaji Ramkumar Kulkarni, Gopal Ramchandra Jaiswal, Sushma Singh, Charanjeet Department of ECE B v Raju Institute of Technology Telangana Narsapur India Panimalar Engineering College. Chennai ECE Anna University Tamilnadu Chennai India Dept of Artificial Intelligence and Analytics IT Industry Tamilnadu Chennai India Electrical Engineering Annasaheb Dange College of Engineering and Technology MP Ashta 416301 India Department of Computer Science & Information Technology (CSIT) West Bengal India Guru Ghasidas Vishwavidyalaya (A Central University) Koni (C.G.) Bilaspur 495009 India Electronics and Communication Department Deenbandhu Chhotu Ram University of Science and Technology Murthal Hartana Sonipat India

The automated learning models method is highly significant for various health - related issues since this sort of machine learning's analytical approach can particularly detect various difficulties in addition to provide a stronger remedy. In this specific report, a fundamental idea of the automated structure of the model of machine learning has already been provided with appropriate information and data that really can directly and constructively impact various healthcare problems. Each of the methodologies employed by various health-care providers is also mentioned. In addition to something like this, the researcher calmly developed a model which could be utilised to obtain accurate result in the findings section. The researcher also described every one of these outcomes to assist readers grasp the significance of automatic ML. © 2024 Author(s).

关键词： automated healthcare Machine Learning (ML) problem technology

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Configuration design and optimization for near space vehicle actuation system based on power/weight ratio and reliability constraint

Configuration design and optimization for near space vehicle...

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CSAA/IET international conference on Aircraft Utility Systems (AUS 2024)

作者： Jun Wang Jian Huang Xingjian Wang Yan Wang Lei Fan Weikang Li Beijing Institute of Automatic Control Equipment Beijing 100074 People's Republic of China School of Automation Science and Electrical Engineering Beihang University Beijing 100191 People's Republic of China The General Staff Beijing Armed Police Corps Beijing 100027 People's Republic of China People’s Liberation Army Troop 61267 Beijing 101114 People's Republic of China

ISBN: (数字)9781837242108

This paper studied the actuation system form used in near space vehicle, based on the near space vehicle design demanding of high power/weight ratio and high reliability, this paper proposes a new type dissimilar redundant actuation system (NT-DRAS). It is composed with electro-hydrostatic actuator (EHA) and electro-mechanical actuator (EMA), followed by this, aiming at high power/weight ratio and high reliability, an multi-constraint model is given first, and then multi-constraint based power/weight ratio and reliability optimization process is given. Finally, optimization results in three dimensional space are given to show and analyze that the NT-DRAS can have high power/weight ratio and high mission reliability compared with other actuation schemes.

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Virtual Reality Technology and Algorithm Application in Intelligent Combat Training Simulation System

Virtual Reality Technology and Algorithm Application in Inte...

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Power, electrical engineering, Electronics and control (PEEEC), international conference on

作者： Jing Kang Zhihua Chen Weijun Kang Officers College of PAP Chengdu Sichuan China

ISBN: (数字)9798350378917

ISBN: (纸本)9798350378924

With the rapid development of science and technology, intelligent combat training simulation system has become an important part of modern military training, which provides a brand-new training method for military personnel through highly simulated virtual environment. Virtual reality (VR) technology builds an immersive and interactive virtual battlefield environment based on computer graphics, human-computer interaction and sensing technology, which significantly enhances the reality and effect of training. Trainers can get a realistic battlefield experience through head-mounted displays and other equipment, so as to pay more attention to the training itself and improve their combat capability and ability to cope with complex battlefield environment. Algorithms play a vital role in the intelligent combat training simulation system, especially the application of AI and machine learning algorithms, which enable the system to intelligently adjust the training difficulty, simulate the behavior of the enemy and realize personalized training experience. By analyzing the behavior and performance of trainers, the algorithm dynamically adjusts the training content and generates a more realistic and changeable battlefield situation, which is helpful to improve the decision-making level and coping ability of trainers. In addition, the system can provide more personalized training suggestions for trainers and optimize the training effect through data mining and analysis. Taking “God of War Simulation Training System” as an example, this paper analyzes the application of VR technology and algorithm in intelligent combat training simulation system in detail. Through highly integrated VR technology and advanced algorithms, the system provides military personnel with a variety of environmental models, including urban street fighting and mountain fighting, which significantly enhances the sense of reality and urgency of training. At the same time, the system also integrates machine

关键词： Training Solid modeling Machine learning algorithms Accuracy Three-dimensional displays Military computing Virtual environments Sensors Personnel Artificial intelligence

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Smart Job Recruitment Automation Using Location Based Filtering

Smart Job Recruitment Automation Using Location Based Filter...

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2021 international conference on Advancements in electrical, Electronics, Communication, computing and Automation, ICAECA 2021

作者： Pandithurai, O. Jayashree, D. Aarthy, D.K. Jaishree, R. Bhavani, K. Dharani, T. Rajalakshmi Institute of Technology Dept. of Computer Science and Engineering Chennai India

ISBN: (纸本)9781665428293

Knowledge is both theoretical and practical information, facts and skills we acquire through experience or learning. Our knowledge increases as we gain more experience. To. The employers often receive an enormous number of applications which is usually unstructured resumes that are different to process and analyze manually. The traditional method of recruitment is becoming inefficient. Because of the rapid advancement of Internet technology, many businesses have switched to an online recruitment approach. To overcome the drawbacks there are several automatic recruitment systems have been proposed. The online recruitment system has proved to be more effective in processing Candidate resumes and matching them to their relevant job posts. The effectiveness of the proposed system is need for a location-based services that can recommend users for jobs within their location. The advantage of this system is to reduce the traveling distance, save time, easy process and make offers confidential. Therefore, this website access the location of job seekers. It helps job seekers to apply for the job which is nearby their location and also satisfy the company requisite. © 2021 IEEE.

关键词： Location

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Brain Tumor Detection Using MRI

Brain Tumor Detection Using MRI

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Advances in computing, Communication control and Networking (ICAC3N), international conference on

作者： Nidhi Raj Singh Siddhant Kishore Gururama Senthilvel.P Elina Saxena School of Computing Science and Engineering School Of Computing Science & Engineering Galgotias University India

With the advent of science and technology the field of diagnostics is much easier with the help of various imaging modalities such as MRI or CT scan. These images are becoming increasingly important with increasing demand due to a number of helpful features such as these automatic, accurate, reliable, quick and effective diagnostics in a very short time that can provide a clearer view of the story than human eyes. A brain tumor is considered to be the most serious cancer. The study found that Brain Tumor was the second leading cause of cancer-related deaths in men aged 20 to 39, and the fifth leading cause of cancer in women of the same age group. Brain tissue is painful, and can lead to certain diseases if not treated properly. Diagnosis of a tumor is a very important part of the treatment process as it plays a very important role in its treatment. diagnosis plays an important role in detecting malignant and malignant tissue. The main reason for increasing the number of cancer patients worldwide is ignorance about early detection of the disease.

关键词： Brain Magnetic resonance imaging Computed tomography Aging Reliability Cancer Tumors

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Trajectory Optimization for the Vertical Landing Phase of Reusable Launch Vehicles Via Convex Approach

Trajectory Optimization for the Vertical Landing Phase of Re...

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international conference on Guidance, Navigation and control, ICGNC 2020

作者： Li, Yuan Shi, Linan Chen, Ping Wei, Changzhu Gao, Xing Harbin Institute of Technology Harbin150001 China Beijing Aerospace Automatic Control Institute Beijing100076 China Science and Technology on Space Physics Laboratory Beijing100076 China

ISBN: (纸本)9789811581540

For better computational efficiency, this paper proposes a convex algorithm to solve the online trajectory optimization problem for the vertical powered landing flight phase of vehicles. To recycle the stages of launch vehicles and lower the cost, vertical take-off/vertical landing reusable launch vehicles are widely studied, actually the precision of the powered landing phase is very important for the recycling mission. In this paper, to achieve both the high precision of landing and the high efficiency of online computation, the convex optimization approach is applied to settle the trajectory optimization problem. Firstly, according to the dynamical model, constraints and mission requirements, the trajectory optimization problem of the vehicles is formulated. Secondly, the flip-Radau pseudospectral discretization approach, lossless convexification, and successive convexification technology are employed to convert the original nonconvex problem to a series of convex problems, and these subproblems can be solved by the primal-dual interior-point method (IPM) accurately and rapidly. The computational procedure of the IPM is also given in detail in this paper. Finally, numerical simulation experiments are given, which prove the computational efficiency and accuracy of the presented convex optimization method. © 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Convex optimization

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