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International Conference on Advances in Computational Tools for Engineering Applications, ACTEA

作者： Roy Abi Zeid Daou Jad Beaino Johnny Hawat Ramy Ibrahim Ali Hayek Josef Boercsoek Jose Javier Serrano Olmedo Mechatronics department Faculty of Engineering Université La Sagesse Beirut Lebanon MART Learning Education and Research Center Chananir Lebanon Department Lippstadt 2 Hardware Engineering University of Applied Science Hamm-Lippstadt Hamm Department of Computer Architecture and System Programming Faculty of Electrical Engineering/Computer Science University of Kassel Germany Lab of Bioinstrumentation and Nanomedicine Centro de Tecnología Biomédica Universidad Politécnica de Madrid Spain

Visually impaired people encounter several challenges in their mobility and navigation. Their daily activities are obstructed due to their inability to adapt or recognize accurately their surroundings, especially outside their house which they are more familiar with. Thus, it becomes the main reason of accidents, falling off, getting lost in unknown areas, etc. Furthermore, one of the sensory systems that helps the body to process data about the external environment is the visual system. Blind people also lose touch with the outside world, develops poor motor habits, which results in postural problems as a result. This project will assist visually impaired people in their daily life and simplify normal tasks through a system combining two previously designed projects, “Smart Shoes for Blind and Visually Impaired People”, and “Human posture monitoring device”. The multifunctional system is developed with the goal of securing safe movements for visually impaired people as well as maintaining a good back posture by detecting leaning postures (LP). The purpose of the smart shoe is to identify obstacles and protect the user from unintended accidents. A compatible Android application has been developed to alert the user when there is an obstruction or when he is walking on a wet surface. Voice alarms will be used to acoustically alert the user. If the user collapses, a message with their position will be sent right away to a relative. On the other hand, the smart vest will identify the position of the user's back and alert him to maintain a straight posture through the same application as well. As the system is dealing with human health, some safety measurements would be taken into consideration to implement a safe electrical system in order to reduce error and to increase accuracy.

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Design of Intelligent Decision Support System With Ensembled Machine Learning to Predict Students' Performance

Design of Intelligent Decision Support System With Ensembled...

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Communication, computer Sciences and Engineering (IC3SE), International Conference on

作者： S Deepan Dineshkumar Rajendran Navdeep Dhaliwal K Praveena Melanie Lourens Anandhi R J School of CS & AI SR University Warangal Telangana India Computer Games Design and Programming School of Computing and Innovative Technologies British University Vietnam Vietnam Lovely Professional University Phagwara India Institute of Aeronautical Engineering Dundigal Hyderabad Deputy Dean Faculty of Management Sciences Durban University of Technology South Africa Department of Information Science Engineering New Horizon College of Engineering Bangalore

ISBN: (数字)9798350366846

ISBN: (纸本)9798350366853

Evaluating student performance is important for universities and institutions in the current student education landscape because it helps them create models that work better for students. The automation of various features related to fundamental student traits and behaviours that manage massive amounts of data efficiently processes these. To handle student records that included information about students' behaviour and how it related to their academic performance, the companies employed models of classification with mining concepts. Additionally, the quality of result classification can be substantially improved by using learning analytics and Educational Data Mining (EDM). The educational establishments are making an effort to lower the low student performance. To address this issue, numerous methods for assessing student performance have been devised, allowing the relevant faculties to intervene and enhance the final product. Three classes—Low Performance Student, Average Student, and Smart Student—were created using the K-Mean Clustering methodology for classifying student records. Features including grade point, number of deficits, student attendance, medium of education, and board of education are taken into account when classifying the data. In this case, the WEKA tool is also utilized for implementing the model and outcome assessments.

关键词： Deep learning Decision support systems Analytical models Data analysis Automation Education Companies

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Promising Developments in Cyber Physical System Tools for Background Monitoring of Reserve Landscape 11

Promising Developments in Cyber Physical System Tools for Ba...

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11th International Conference on Advanced computer Information Technologies, ACIT 2021

作者： Nykolaychuk, Yaroslav Grynchychyn, Taras Pitukh, Ihor Petrashchuk, Yaroslav Nykolaychuk, Lyubov Hryha, Volodymyr West Ukrainian National University Department of Specialized Computer Systems Ternopil Ukraine Nadvirna Vocational College by National Transport University Department of Programming and Information Technologies Nadvirna Ukraine Gorgany Nature Reserve Nadvirna Ukraine Ivano-Frankivsk National Technical University of Oil and Gas Department of Social Communication and Law Ivano-Frankivsk Ukraine Vasyl Stefanyk Precarpathian National University Department of Computer Engineering and Electronics Ivano-Frankivsk Ukraine

Experience in designing and building cyber physical interactive distributed monitoring systems for industrial facilities and reserve landscapes is analyzed. Advantages of the existing interactive and dialogue computerized systems, replicated by many companies, are systematized and their functional limitations are determined. The legal and system requirements for the implementation of this class of information system components, which can be applied in strict Nature Reserve, are clarified. It is proposed to expand the functionality and increase the reliability of the ring-star system for background monitoring of nature reserves based on binary-manipulated optical signals. A sensor system for measuring the height of snow cover along the monitoring route is developed using a relay sensor network and quadcopters. © 2021 IEEE.

关键词： Cyber Physical System

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Knowledge Discovery Based on Data Analytics and Visualization Supporting Precision Medicine

Knowledge Discovery Based on Data Analytics and Visualizatio...

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International Conference on Mathematics and computers in Science and Engineering (MACISE)

作者： Veska Gancheva Department of Programming and Computer Technologies Technical University of Sofia Sofia Bulgaria

ISBN: (数字)9781728166957

ISBN: (纸本)9781728166964

Major challenge in the analysis of clinical data and knowledge discovery is to suggest an integrated, advanced and efficient tools, methods and technologies for access and processing of progressively increasing amounts of data in multiple formats. The problem of adapting the personal treatment to a patient is extremely complex and the medical doctor should examine and analyze large amounts of various data of different type. A comprehensive system for precision medicine, which covers all phases of data discovery, data integration, data preprocessing, building models, data storage, data analysis and visualization can be very useful to scientists in support of precision medicine. The software system aims intelligent big genomic data management, analysis and visualization and allows scientists an easy, fast and flexible approach for data processing. They can choose the services they wish to be executed, use the available data sets in databases, or enter their own data to be processed.

关键词： Data visualization Bioinformatics Knowledge discovery Proteins Data analysis Medical diagnostic imaging Big Data

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Optimal Control of Dengue-Chikungunya Co-infection: A Mathematical Study 4th

Optimal Control of Dengue-Chikungunya Co-infection: A Mathem...

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4th IFIP TC 12 International Conference on Intelligence Science, ICIS 2020

作者： De, Anupam Maity, Kalipada Panigrahi, Goutam Maiti, Manoranjan Department of Applied Sciences Haldia Institute of Technology Haldia West Bengal India Department of Mathematics Mugberia Gangadhar Mahavidyalaya Bhupatinagar West Bengal India Department of Mathematics National Institute of Technology Durgapur Durgapur West Bengal India Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University Midnapore West Bengal India

ISBN: (纸本)9783030748258

In the present work, we developed a mathematical model for dengue-Chikungunya co-infection to analyze the disease transmission dynamics and interrelationship. We considered the essence of time dependent optimal control with the help of Pontryagin’s maximum principle. The result of diverse combinations of control measures is analyzed and shown graphically. © 2021, IFIP International Federation for Information Processing.

关键词： Co-infection Dengue-Chikungunya Optimal control

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A Probabilistic Signal Temporal Logic for Persistent Events

SSRN

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SSRN 2022年

作者： Zhang, Siqi Qin, Xiaolin Zhang, Ju Liu, Jiang Laboratory for Automated Reasoning and Programming Chengdu Institute of Computer Applications Chinese Academy of Sciences Chengdu610213 China Chongqing Institute of Green and Intelligent Technologye Chinese Academy of Sciences Chongqing400714 China University of Chinese Academy of Sciences Beijing100049 China

With the latest development in deep learning, today's models can easily reach or even exceed the human level in many downstream tasks. However, when it comes to estimating the probability of persistent events, traditional models often need manually designed labels and tasks to learn the corresponding results in certain situations. This manual approach is clearly not practical for the model automation. In some studies, researchers discretize the time domain with the help of temporal logic and stream reasoning. Such approach needs to estimate states point by point. As a result, there could be a large amount of computations in the high precision discretization for persistent events. To address such issue, we established the probabilistic descriptions in terms of events formalized by STL formulas and the probabilities of simple events. For a complex event, its probability will be computed recursively according to the expanded subformulas of an STL formula which defined complex event. © 2022, The Authors. All rights reserved.

关键词： Probability density function

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Pioneers of Russian computers and computer Graphics 5

Pioneers of Russian Computers and Computer Graphics

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5th International Scientific Conference: History of computers and Informatics in the Former Soviet Union, Russian Federation and in the Countries of Mutual Economic Assistance Council, SoRuCom 2020

作者： Karpov, Leonid E. Karpova, Vera B. Tomilin, Alexander N. Ivannikov Institute for System Programming Lomonosov Moscow State University Russian Academy of Sciences Moscow Russia Lebedev Institute of Precise Mechanics and Computer Engineering Russian Academy of Sciences Moscow Russia

ISBN: (纸本)9781665403184

The work of the creators of the first electronic computer of the BESM series is briefly described. This computer served as the technical basis for the first Russian project in computer graphics area. The article also tells about the activities of Russian pioneers of computer graphics, who worked for the Academy of Sciences of the USSR at the Institute of Precise Mechanics and computer Engineering and at the Institute of Applied Mathematics. © 2020 IEEE.

关键词： computer graphics

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Using the inverse Cauchy problem of the Laplace equation for wave propagation to implement a numerical regularization homotopy method

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AIP Conference Proceedings 2023年第1期2977卷

作者： H. K. Al-Mahdawi Zainalabideen Albadran Hussein Alkattan Mostafa Abotaleb Khder Alakkari Ali J. Ramadhan Electronic Computer Centre University of Diyala Diyala Iraq Department of Computer Techniques Engineering College of Technical Engineering University of Alkafeel Najaf Iraq Department of System Programming South Ural State University South Ural State Russia Department of Statistics and Programming Faculty of Economics University of Tishreen Latakia Syria

In this paper, we introduce an approach via regularization and Homotopy way for resolving the inverse Cauchy problem of the Laplace of system partial differential equation which appears in the wave propagation for communication networks. We considered the method of Homotopy Perturbation Metheod (HPM) for solving the integral equations of the first kind named Fredholm. In order to formulate the Laplace equation into the first-kind integral equation (Fredholm) the Fourier series used. Then the discretization method used to reduce the integral equation into a linear operator equation for the first kind. It is clear that this kind of problem is callsified as an ill-posed and the direct way to solve it unacceptably. Tikhonov’s regularization method with Homotopy Perturbation algorithm used for obtaing the approximation solution for the Laplace differential equation. Finally, the numerical example is proposed.

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Optimum Production through variational principle with the time quadratic demand, fuzzy time period and fuzzy integrand

arXiv

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arXiv 2023年

作者： Roul, J.N. Maity, K. Kar, S. Maiti, M. Patha Bhavana Visva-Bharati West Bengal Santiniketan731235 India Department of Mathematics M G Mahavidyalaya Bhupatinagar W.B. 721425 India Department of Mathematics National Institute of Technology W.B. Durgapur713209 India Department of Applied Mathematics with Oceanology Computer Programming Vidyasagar University W.B. Midnapore711201 India

Here a real life optimal control problem under fuzzy time period using variational principle is formulated and Solved. The unit production cost is a function of production rate and also dependent on raw material cost, development cost due to durability and wear-tear cost. The holding cost is assumed to be non-linear, dependent on time. The profit function which consists of revenue, production cost and holding cost is formulated as a Fuzzy-Final Time and Fixed State System optimal control problem with fuzzy time period. Here production rate is unknown and considered as a control variable and stock level is taken as a state variable. It is formulated to optimize the production rate so that total profit is maximum. The non-linear optimization technique-Generalised Reduced Gradient Method (LINGO 11.0) is used. The optimum results are illustrated both numerically and *** Codes 49XX Copyright © 2023, The Authors. All rights reserved.

关键词： Profitability

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Improving Predictions of Long Sequences by Hyperparameter Tuning

Improving Predictions of Long Sequences by Hyperparameter Tu...

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computer Science (COMSCI), International Scientific Conference on

作者： Kiril Andreev Koparanov Krasin Krasimirov Georgiev Vasil Aleksandrov Shterev Daniela Veleva Minkovska Department of Programming and Computer Technologies Faculty of Computer Systems and Technologies Technical University of Sofia 8 Kliment Ohridski blvd Sofia Bulgaria Department of Air Transport Faculty of Transport Technical University of Sofia 8 Kliment Ohridski blvd Sofia Bulgaria Department of Communication Networks Faculty of Telecommunications Technical University of Sofia 8 Kliment Ohridski blvd Sofia Bulgaria

ISBN: (数字)9781665497770

ISBN: (纸本)9781665497787

The problem of forecasting long sequences is important in many different domains. Proper selection of the hyperparameters when a machine learning approach is applied could make the difference between adequate and inadequate model. Several algorithms for automatic hyperparameters tuning were evaluated and compared with baseline selection. As a result, recommendations have been made. Some of the intuitive assumptions for the baseline model proved to be wrong.

关键词： Industries Machine learning algorithms Computational modeling Time series analysis Diversity reception Machine learning Prediction algorithms

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