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Survey on Forecasting the vulnerability of Covid 19 in Tamil Nadu

Journal of Physics: Conference Series 2021年第1期1767卷

作者： P. Ananthi S. Jabeen Begum V. Latha Jothi S. Kayalvili S. Gokulraj M.E student Computer Science and Engineering Velalar College of Engineering and Technology Erode Tamil Nadu India Professor Computer Science and Engineering Velalar College of Engineering and Technology Erode Tamil Nadu India Associate Professor Computer Science and Engineering Velalar College of Engineering and Technology Erode Tamil Nadu India

Predictive and analytic models for forecasting the vulnerability and recovery rate of patients who are affected by COVID 19 are made in this project for good analysis and better decision-making. In this project, linear regression (LR) a Machine Learning model is used to forecast the number of patients will get the infection in near future. By simulating SIRD model, the infection spread and recovery rate of the disease in a geographic region can be predicted. The vulnerability of the disease is checked by observing the transmission of disease over a period. In addition to this many info graphic models and graphs are created for easy understanding of data to get more insights about the disease. However, these prediction models enable us to make quick response of pandemic and to bring a conclusion to the disease. INDEX TERMS: Covid 19, data science, machine learning, prediction, analysis, pandemic, recovery and infection.

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Attendance Management System Using Face Recognition Method

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Journal of Physics: Conference Series 2021年第1期2089卷

作者： Syed Mansoora Giribabu Sadineni Shaik Heena Kauser P.G Scholar Department of Computer Science & Engineering PACE Institute of Technology and Sciences A.P India Associate Professor Department of Computer Science & Engineering PACE Institute of Technology and Sciences A.P India Assistant Professor Department of Computer Science & Engineering PACE Institute of Technology and Sciences A.P India

When it comes to classroom management, the attendance check is a critical component. Time-consuming, particularly when it comes to open meetings, is checking attendance by calling names or by handing around a sign-in sheet to make it easier to commit fraud. An implementation of a real-time attendance check is described in this article in great detail facial recognition system and its outcomes. The system must be able to identify a student's face in order for it to work first snap a photograph of the pupil and save it in a database as a reference for future use. During the event, there were students may be identified by using the webcam, which captures photos of their faces auto-detects faces and selects students with names that are most likely to match, and lastly, depending on the facial recognition findings, an excel file will be updated to reflect attendance. To identify faces in webcam footage, the system uses a pre-trained Haar Cascade model. As a result, a 128-bit FaceNet has been generated by training it to minimise the triplet loss. The dimensions of the facial picture. When two facial pictures have similar encodings If the two facial pictures are from the same student or different. Use of the system as part of a class, and the outcomes have been extremely positive. There has been a poll done to find out more about There are both advantages and disadvantages to using a college attendance system.

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Secure Cloud Risk Architecture analysis for Mobile Banking system and its performance analysis based on Machine learning approaches

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Journal of Physics: Conference Series 2021年第1期2089卷

作者： P. Rajarajeswari M. Sreevani P. Lalitha Suryakumari Associate Professor Department of Computer science and Engineering Sreenivasa institute of Technology and management studies Chittoor India Associate Professor Department of Computer science and Engineering MGIT Hyderabad India Professor Department of CSE KL University Hyderabad India

With advances in the mobile communications, many service-related tasks can be made quickly and easily. Mobile banking is one such service that has eliminated the need for a consumer to go to a branch to carry out many common transactions. In a country like India, where the last mile reach through brick-and-mortar banking facilities, mobile phones can complement the reach. This paper describes how mobile cloud architecture can be employed for banking and services to customers to enhance their banking experience as well as ensuring information security. This paper focuses on cloud-based risk architecture for banking solutions to address various issues related to mobile banking such as processing speed and storage capacity. Improved random forecast algorithm is used for the evaluation of the system. This proposed system achieves 99% of the system.

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Mathematical Model Approach for AC and DC Regulators Excitation Systems (ES)

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IOP Conference Series: Materials science and Engineering 2021年第1期1055卷

作者： Diresie Yirgu Demeke Balachandra Pattanaik Syed Masood Hussain Abate Abibual Balanaidu Sundaram Lecturer Department of Mathematics Professor Department Electrical and Computer Engineering Faculty of Engineering and Technology Lecturer Department Electrical and Computer Engineering Faculty of Engineering and Technology Associate Professor Department of computer Science College of Informatics BLUEHORAUNIVERSITY Blue Hora Ethiopia Africa

Balancing equations for excitation system is very basic and fundamental concept and in some cases it becomes more difficult so that a mathematical treatment is needed in order to make it easy for AC and DC Regulators Excitation Systems (ES). This research paper mainly focuses on an excellent application of The power generating units and higher power motors are majority included by wound field synchronous machines because of it has flexible field excitation, flux intrinsic weakening capacity and high efficiency. It can be also used in low to medium power range for high end solutions in a wide range. This paper is analyzing a study of modern methods and technologies of excitation system for AC and DC regulators.

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Determination of the discretion interval of the temporal series of the technological process parameter measurement in ACS TP in the noises conditions

Determination of the discretion interval of the temporal ser...

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2020 International Conference on Applied sciences, ICAS 2020

作者： Tymchuk, S.O. Abramenko, I.G. Zahumenna, K.V. Miroshnyk, O.O. Shchur, T.G. Tomporowski, A. Kruszelnicka, W. Kharkiv Petro Vasilenko National Technical University of Agriculture Automation and the Computer Integrated Technologies Department Rizdviana str. 19 Kharkiv Ukraine Lviv National Agrarian University Department of Operation and Technical Service of Machines Named after Professor Semkovych O.D. Volodymyr the Great str 1. Dublyany Zhovkva district Lviv region80381 Ukraine University of Science and Technology in Bydgoszcz Faculty of Mechanical Engineering Al. Prof. S. Kaliskiego no. 7 Bydgoszcz85-796 Poland

We have solved the problem of substantiating the choice of the sampling interval of the temporal series of the technological process parameter measurements for automation systems, if there are errors, which takes into account the frequency characteristics of this series. The object of the study is the measuring channel of ACS TP (automated control systems of technological processes). We have developed the mathematical simulation model of the measuring channel and the analog-to-digital converter, which provides the possibility of studying the influence of the sampling interval value of the temporal series of technological process parameter measurements on the reliability of the information. The results of the research of the model show the effectiveness of the model developed. © 2021 Published under licence by IOP Publishing Ltd.

关键词： Parameter estimation

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Rotational alignment of imu-camera systems with 1-point ransac 2nd

Rotational alignment of imu-camera systems with 1-point rans...

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2nd Chinese Conference on Pattern Recognition and computer Vision, PRCV 2019

作者： Guan, Banglei Su, Ang Li, Zhang Fraundorfer, Friedrich College of Aerospace Science and Engineering National University of Defense Technology Changsha China Hunan Provincial Key Laboratory of Image Measurement and Vision Navigation Changsha China Institute for Computer Graphics and Vision Graz University of Technology Graz Austria

ISBN: (纸本)9783030317256

In this paper we present a minimal solution for the rotational alignment of IMU-camera systems based on a homography formulation. The image correspondences between two views are related by homography when the motion of the camera can be effectively approximated as a pure rotation. By exploiting the rotational angles of the features obtained by e.g. the SIFT detector, we compute the rotational alignment of IMU-camera systems with only 1 feature correspondence. The novel minimal case solution allows us to cope with feature mismatches efficiently and robustly within a random sample consensus RANSAC scheme. Our method is evaluated on both synthetic and real scene data, demonstrating that our method is suited for the rotational alignment of IMU-camera systems. © Springer Nature Switzerland AG 2019.

关键词： Cameras

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Generative Adversarial Network with Policy Gradient for Text Summarization

Generative Adversarial Network with Policy Gradient for Text...

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International Conference on Semantic Computing

作者： Banafsheh Rekabdar Christos Mousas Bidyut Gupta Department of Computer Science Southern Illinois University Carbondale IL Computer Graphics Technology Purdue University West Lafayette IN

Abstractive text summarization is the task of generating meaningful summary from a given document (short or long). This is a very challenging task for longer documents, since they suffer from repetitions (redundancy) when the given document is long and the generated summary should contain multi-sentences. In this paper we present an approach for applying generative adversarial networks in abstractive text summarization tasks with a novel time-decay attention mechanism. The data generator is modeled as a stochastic policy in reinforcement learning. The generator's goal is to generate summaries which are difficult to be discriminated from real summaries. The discriminator aims to estimate the probability that a summary came from the training data rather than the generator to guide the training of the generative model. This framework corresponds to a minimax two-player game. Qualitatively and quantitatively experimental results (human evaluations and ROUGE scores) show that our model can generate more relevant, less repetitive, grammatically correct, preferable by humans and is promising in solving the abstractive text summarization task.

关键词： Generators Decoding Task analysis Generative adversarial networks Reinforcement learning Training Mathematical model

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Exploring nanotechnology for diagnostic, therapy and medicine

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IOP Conference Series: Materials science and Engineering 2021年第1期1091卷

作者： T. Chithrakumar M Thangamani S. Pon miruthu vasini Assistant Professor Computer Science and Engineering Sri Ramakrishna engineering college Coimbatore Associate Professor Information Technology Kongu Engineering College Tamilnadu India Student of Computer and Technology Kongu a Engineering College Tamilnadu

In current days, knowledge enhancement is growing more. Nanotechnology can applied to self-repeating machines and mechanical technology, compound designing, mechanical designing, science, natural designing, and electrical designing. Nanotechnology has the great preference to improves produce new and superior product. Nanomaterials to perceive avoid and eliminate pollution. Nanotechnologies are blueprint, invention and applied in medicine, therapy, diagnostic, sequencing and environmental protection. The usage of nanotechnology is rapidly increases in entire future market. This article explore the nanotechnology for medicine, diagnostic and therapy.

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An Automated Optimize Utilization of Water and Crop Monitoring in Agriculture Using IoT

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IOP Conference Series: Materials science and Engineering 2021年第1期1131卷

作者： Sanwta Ram Dogiwal Pankaj Dadheech Ankit Kumar Linesh Raja Abhishek Kumar Mahender Kumar Beniwal Associate Professor Department of Information Technology Swami Keshvanand Institute of Technology Management & Gramothan Jaipur Rajasthan India Associate Professor Department of Computer Science & Engineering Swami Keshvanand Institute of Technology Management & Gramothan Jaipur Rajasthan India Assistant Professor Department of Computer Science & Engineering Swami Keshvanand Institute of Technology Management & Gramothan Jaipur Rajasthan India Assistant Professor Department of Computer Applications Manipal University Jaipur Rajasthan India Assistant Professor Department of Computer Science & IT Jain (Deemed to be University) Bangalore India

AI Solution for Farmers is an agricultural based project, created to help farmers and to help them in increasing their productivity. Since the technologies are running the world, why agriculture must be deprived of it. Agriculture is one of the most important areas that have major impacts on the economy and society of a country. Technological developments serve as tools to share knowledge and practices of agricultural products and make more satisfactory lives for farmers, traders, policymakers, and the overall society. It is evident that knowledge has become a crucial component in production, society, food security, health, poverty, and other millennium development goals. The use of technology may provide a better approach to solve the problems arising from sowing the seed to harvest the crop. The new technologies like Machine Learning and Data science may be great help to have an eye on the deciding factors to the growth of crop.

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Bundle adjustment revisited

arXiv

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arXiv 2019年

作者： Chen, Yu Chen, Yisong Wang, Guoping Peking University Department of Computer Science and Technology Graphics and Interactive Lab Beijing China

3D reconstruction has been developing all these two decades, from moderate to medium size and to large scale. It’s well known that bundle adjustment plays an important role in 3D reconstruction, mainly in Structure from Motion(SfM) and Simultaneously Localization and Mapping(SLAM). While bundle adjustment optimizes camera parameters and 3D points as a non-negligible final step, it suffers from memory and efficiency requirements in very large scale reconstruction. In this paper, we study the development of bundle adjustment elaborately in both conventional and distributed approaches. The detailed derivation and pseudo codes are also given in this paper. Copyright © 2019, The Authors. All rights reserved.

关键词： Image reconstruction

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