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International Scientific Conference Electronics (ET)

作者： Ianislav Trendafilov Veska Gancheva Neuromorphica Ltd. Sofia Bulgaria Department of Programming and Computer Technologies Faculty of Computer Systems and Technologies Technical University of Sofia Sofia Bulgaria

We deigned a spiking neural network that computes network weights in the temporal dimension. Such a network can be used for artificial intelligence and deep learning. We demonstrate circuits implementing blocks for building such a network and then a training model. This enables creation of efficient Hessenstein-Reichardt detectors observed in motion detection networks in the nature. The proposed network allows reconfiguration across network layers algorithmically.

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Univariate & Multivariate Forecasting of Time Series Through a Contemporary Manner

Univariate & Multivariate Forecasting of Time Series Through...

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International Conference on High Technology for Sustainable Development (HiTech)

作者： Kiril Koparanov Daniela Minkovska Elena Antonova Department of Programming and Computer Technologies Technical University of Sofia Sofia Bulgaria Department of Computer Systems Technical University of Sofia Sofia Bulgaria

ISBN: (数字)9798350358100

ISBN: (纸本)9798350358117

Detailed forecasting of time series is one of the fields where the latest advancements in information technology make significant contributions. Operating with financial data poses noteworthy challenges owing to its inherent nature and substantial impact on economic dynamics within society. This study explores the utilization of automated tools as a set of resources for both unifactorial and multifactorial forecasting, drawing conclusions and providing recommendations.

关键词： Economics Accuracy Time series analysis Predictive models Data models Forecasting Sustainable development Information technology

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A Generalization of σ-Permutability

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Communications in Mathematics and Statistics 2022年第3期10卷 565-579页

作者： Zhigang Wang Jin Guo Inna N.Safonova Alexander N.Skiba School of Science Hainan UniversityHaikou 570228HainanPeople’s Republic of China Department of Applied Mathematics and Computer Science Belarusian State University220030 MinskBelarus Department of Mathematics and Technologies of Programming Francisk Skorina Gomel State University246019 GomelBelarus

Throughout this paper,all groups are finite and G always denotes a finite group;σis some partition of the set of all primes P.A group G is said to beσ-primary if G is aπ-group for someπ∈σ.Aπ-semiprojector of G[29]is a subgroup H of G such that HN/N is a maximalπ-subgroup of G/N for all normal subgroups N of ***П⊆σ.Then we say thatχ={X_(1),...,X_(t)}is aП-covering subgroup system for a subgroup H in G if all members of the setχareσ-primary subgroups of G and for eachπ∈Пwithπ∩π(H)≠φthere are an index i and aπ-semiprojector U of H such that U≤X_(i).We study the embedding properties of subgroups H of G under the hypothesis that G has aП-covering subgroup systemχsuch that H permutes with X^(x)for all X∈χand x∈*** well-known results are generalized.

关键词： Finite group σ-nilpotent group П-semiprojector П-covering subgroup system σ-subnormal subgroup

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Advanced IOT Traffic Light Control System 5

Advanced IOT Traffic Light Control System

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5th International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2023

作者： Hamad, Martin Abou El Hajj, Antonio Daou, Roy Abi Zeid Hayek, Ali Haidar, Gaby Abou Lebanese German University Faculty of Public Health Biomedical Technologies Department Lebanon MART Learning Education and Research Center Lebanon University of Kassel Department of Computer Architecture and System Programming Kassel Germany American University of Science and Technology Engineering Faculty Zahle Lebanon

ISBN: (纸本)9798350309959

For several years, traffic congestion has been a major problem in big cities where the number of cars and different means of transportation has been increasing significantly. The problem of congestion is becoming more and more critical, and if not treated smartly this issue will negatively affect drivers by wasting time and fuel gas while waiting for hours in lanes. This paper presents a new and smart way to mitigate this issue in an affordable cost, minimum processing power, and low power consumption. This concept takes into consideration the majority of the cases that may cause congestion and presents a smart and accurate outputs to ease traffic flow leading to the prediction of the peak hours of traffic congestion for smarter control. A model is designed to study the case of a four lanes crossroad with two traffic lights and two LCD monitors. The strategy in reading data is divided into two parts: real data from sensors and pre collected data from google maps to create a kind of a predicted pattern over a certain time interval. The responsiveness of the system is analyzed thoroughly, and the accuracy of all possible cases is carefully considered and evaluated. Each part of the system was tested alone, and the overall system is still in an ongoing testing phase. The results have shown minimum faulty errors and accepted outputs that can lead to safe traffic control decisions. Finally, integrating more IoT devices and sensors between V2V, V2P, V2I with the help of artificial intelligence will definitely optimize this system with higher accuracy. © 2023 IEEE.

关键词： Traffic congestion

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A Multithreaded Approach to Masking Images used for Animation

A Multithreaded Approach to Masking Images used for Animatio...

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Technology Innovation Management and Engineering Science International Conference (TIMES-iCON)

作者： Veska Gancheva Kalin Belov Ivaylo Georgiev Department of Programming and Computer Technologies Technical University of Sofia Sofia Bulgaria Stephan Angeloff Institute of Microbiology Bulgarian Academy of Sciences Sofia Bulgaria

ISBN: (数字)9798350362602

ISBN: (纸本)9798350362619

The current research is focused on designing a multithreaded parallel solution for processing a pair of raster image files that are used to create an animation. In the computational process, a multithreaded model was used when processing arrays of data. The proposed approach is verified by a multithreaded parallel program implementation. The effectiveness of the proposed solution has been verified experimentally by processing an image with dimensions 4320x5400 and a white color mask. The obtained results in terms of execution time show an acceleration of the computational process when increasing the number of threads.

关键词： Image color analysis Instruction sets Computational modeling Parallel processing Innovation management Animation Data models

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Application of IoT in the study of biogas release parameters

Application of IoT in the study of biogas release parameters

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International Scientific Conference Electronics (ET)

作者： Neven K. Nikolov Anelia I. Tzanova Kiril A. Koparanov Elena V. Antonova Daniela V. 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 Chemistry Faculty of Electronic Engineering and Technologies Technical University of Sofia 8 Kliment Ohridski blvd. Sofia Bulgaria

This paper describes the development of an IoT device prototype for measuring biogas release parameters. Through the device, measurements are made, and statistics are accumulated based on which calculations are perfor... 详细信息

ISBN: (数字)9798350376449

ISBN: (纸本)9798350376456

关键词： Performance evaluation Heating systems Prototypes Production Sensor phenomena and characterization Biogas Sensor systems Internet of Things Information technology Monitoring

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Hassenstein-Reichardt Detector Using Controllable Single Pulse Time-Delay Circuit for Neuromorphic Hardware

Hassenstein-Reichardt Detector Using Controllable Single Pul...

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computer Science (COMSCI), International Scientific Conference on

Inspired by the visual system of the fruit fly, we had created a generic building block for neuromorphic hardware that is vital for third generation neural networks. This enables time delay to be parametrized in a cheap and inexpensive way. The advantage of our proposal is the possibility of building and testing new networks using dynamicist approach in artificial intelligence.

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Information technologies for calculating the effect of wire thickness and insulation material on its heating temperature during operation 4

Information technologies for calculating the effect of wire ...

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4th IEEE KhPI Week on Advanced Technology, KhPI Week 2023

作者： Katunin, Albert Kulakov, Oleg Kolomiitsev, Oleksii Heiko, Hennadii Rudakov, Ihor Department of Fire and Technological Safety of Facilities and Technologies National University of Civil Defence of Ukraine Kharkiv Ukraine Scientific Department on Problems of Civil Protection and Technogenic and Ecological Safety National University of Civil Defence of Ukraine Kharkiv Ukraine Computer Engineering and Programming Department National Technical University "Kharkiv Polytechnic Institute" Kharkiv Ukraine

ISBN: (纸本)9798350395532

The paper evaluates the influence of wire thickness and insulation material on its heating temperature during operation. The temperature and time characteristics of wire exploitation under conditions of different load currents are analysed. The ranges of the wire temperature increase during operation are determined for wires with insulation made of polyethylene, polyvinyl chloride, enamel, and rubber. © 2023 IEEE.

关键词： Wire

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Artificial Intelligence in Medicine for Chronic Disease Classification Using Machine Learning 16

Artificial Intelligence in Medicine for Chronic Disease Clas...

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16th IEEE International Conference on Application of Information and Communication technologies, AICT 2022

作者： Rakhimov, Mekhriddin Akhmadjonov, Ravshanjon Javliev, Shahzod Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Department of Artificial Intelligence Tashkent Uzbekistan Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Department of System and Application Programming Tashkent Uzbekistan Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Department of Computer System Tashkent Uzbekistan

ISBN: (纸本)9781665451628

Artificial intelligence (AI) systems in medicine are one of the most important modern trends in global healthcare. Artificial intelligence technologies are fundamentally changing the global healthcare system, making it possible to radically rebuild the system of medical diagnostics while reducing healthcare costs. AI is actively used in research to develop methods for diagnosing coronary heart disease (CHD). There are different types of CHD. Before treating a disease, it is necessary to determine which class of diseases it belongs to. Based on the feature space of the disease, it is possible to classify the type of CHD. Machine learning algorithms can solve this problem. The k-nearest neighbors (KNN) algorithm is a simple, easy-to-implement supervised machine learning algorithm that can be used to solve classification problems. The dataset is the more important part of the supervised machine learning algorithm for training. Gathering data is the most important step in solving any supervised machine learning problem. But choosing more important part from the collected data is one of the tasks to be solved. The main purpose of this study is to select more useful parametric attributes from the dataset to obtain a high F1-score of CHD classification. © 2022 IEEE.

关键词： Diseases

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Approach for Estimating Distances between Centers of Geometric Shapes based on Image Analysis and its Evaluation

Approach for Estimating Distances between Centers of Geometr...

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2021 International Conference on Information Science and Communications technologies, ICISCT 2021

作者： Takhirov, Shakhzod Kudratov, Sultan Kubantsev, Konstantin Engineering University of California - Berkeley Department of Civil and Environmental BerkeleyCA United States Technologies and Programming Tashkent University of Information Technologies Department of Information and Computer Tashkent Uzbekistan

ISBN: (纸本)9781665432580

A digital image is usually stored as a two-dimensional matrix consisting of numerical values of the intensity of each color;for example, Red-Green-Blue (RGB). This fact allows a possibility of manipulation of the image data, including making measurements based on the images of a moving object. This paper presents a new approach for estimating distances between the centers of geometric shapes based on image analysis. The algorithm is based on determining the parameters of the matrices - the number of rows and columns of graphic images of target plates and creating vectors of the sums of their values. As a result of such manipulations, peaks (maxima, minima) are formed that coincide with the centers of the squares and circles displayed on the target plates. These peaks are the coordinates of the target centers. © 2021 IEEE.

关键词： Image analysis

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