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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...

引用

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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An Approach to Investigating Plagiarism in Artificial Intelligence Content 12

An Approach to Investigating Plagiarism in Artificial Intell...

引用

12th International Scientific Conference on computer Science, COMSCI 2024

作者： Minkovska, Daniela Veleva Antonova, Elena Ventseslavova Koparanov, Kiril Andreev Nakov, Plamen Ognyanov Technical University of Sofia Faculty of Computer Systems and Technologies Department of Programming and Computer Technologies 8 Kliment Ohridski blvd. Sofia1000 Bulgaria Technical University of Sofia Faculty of Computer Systems and Technologies Department of Computer Systems 8 Kliment Ohridski blvd. Sofia1000 Bulgaria

ISBN: (纸本)9798350392166

A growing number of human-centric tasks like learning, planning, and creative writing require the integration of Artificial Intelligence (AI) in the current era of exponential advancements. Such systems collect and analyze data on their own making the best use of available resources and providing creative solutions for challenging issues. The impact of AI on productivity, data analysis, flexibility, and real-time decision- making in a variety of fields is examined in this paper. Focusing on academic settings, the paper considers ethical concerns surrounding AI-generated content. According to a survey, even though many students use ChatGPT for writing and research, worries about academic integrity and plagiarism still exist. © 2024 IEEE.

关键词： Contrastive Learning

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Security as a service model in SOA

Security as a service model in SOA

引用

11th WSEAS International Conference on AIC'11, 4th WSEAS International Conference on BEBI'11, International Conference on Environment, Economics, Energy, Devices, Systems, Communications, computers, Pure and Applied Mathematics

作者： Georgieva, Juliana Goranova, Mariana Department of Programming and Computer Technologies Technical University of Sofia Bul. Kl. Ohridski 8 bl. 2 Sofia Bulgaria

ISBN: (纸本)9781618040282

The software architecture requires interoperable security mechanisms. This article focuses on applying security requirements to service-oriented solution design. SOA security is very much concerned with what the system is supposed to do and what can go wrong. This article presents the service-oriented approach - security services that can be developed and tested and applied against many types of applications or scenarios. The proposed concept has the contribution to allow for SSAS (Software Security as a Service) providers to provide access to software services without requiring the customer to host this service within their local environment. In this model, the access control decision and (ideally) enforcement functionality is not embedded within an application. The split of enforcement and decision point has its advantages.

关键词： Interoperability

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A Method for Extracting Target Speaker in Dual - Microphone System

A Method for Extracting Target Speaker in Dual - Microphone ...

引用

2022 Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2022

作者： Trong The, Quan Thi Thu Dung, Nguyen University Itmo Information Technologies and Programming Faculty Saint Petersburg Russia University SPbPU Institute of Computer Science and Technology Saint Petersburg Russia

ISBN: (纸本)9781665409933

Advances in technology have produced smaller and more powerful computing devices. For example, there are currently a variety of portable personal computing devices, including wireless computing devices, such as portable wireless phones, personal digital assistants (PDAs), and paging devices. These devices are small, light, and easy to carry by users. More specifically, portable wireless phones (e.g., cellular phones and Internet Protocol (IP) phones) can transmit voice and data packets via wireless networks. Further, many of these wireless telephones include other types of devices incorporated therein. For example, wireless phones can also contain digital still cameras, digital video cameras, digital recorders, and audio file players. Moreover, such wireless phones can process executable instructions, including software applications, such as web browser applications that can be used to access the Internet. In this way, these wireless phones can contain significant computing power. The audio processing system in the wireless phone may use a multi-microphone system that improves audio quality based on a multi-channel digital processing algorithm. For example, compared to a single microphone system, a multi-microphone system can provide enhanced noise suppression and can allow the audio processing system to implement spatially related audio features, such as position related noise. In order achieving a better result of extracting the target speaker, the author proposed a method, which based on dual-microphone system, uses post-filtering technology to eliminate diffuse noise and unwanted speech. Experiments have presented the effectiveness and robust of the proposed method. © 2022 IEEE.

关键词： Microphone array

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An Improved Implementation of Generalized Sidelobe Canceller Filter in Diffuse Noise Field

An Improved Implementation of Generalized Sidelobe Canceller...

引用

2022 Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2022

作者： The, Quan Trong Dung, Nguyen Thi Thu University Itmo Information Technologies and Programming Faculty Saint Petersburg Russia University SPbPU Institute of Computer Science and Technology Saint Petersburg Russia

ISBN: (纸本)9781665409933

Algorithms, which used in the microphone array, are currently widely popular, especially the GSC algorithm. Compared with the single-channel algorithm model, GSC uses information of direction of arrival (DOA) of the original speech signal to increase the efficiency of noise suppression. However, in practical applications, there are many restrictions, such as the error of the actual direction, the error of sensitivity between microphones, which affects the output signal, causes speech distortion and performance degradation. In this paper, the author proposed a method, that uses a priori SNR to reduce the speech leakage in the reference signal, to improve the implementation of GSC algorithm in diffuse noise field. The above method has been tested, and its effectiveness has been proven. In the future, the author will continue to study different noise environmental conditions to further improve the efficiency of the above method. © 2022 IEEE.

关键词： Beamforming

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A Multithreaded Approach to Masking Images used for Animation 5

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

引用

5th Technology Innovation Management and Engineering Science International Conference, TIMES-iCON 2024

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

ISBN: (纸本)9798350362602

—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. ©2024 IEEE.

关键词： Animation

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Design and implementation of an embedded interactive timing system for medical treatment of patients with learning and attention issues 28

Design and implementation of an embedded interactive timing ...

引用

28th International Scientific Conference Electronics, ET 2019 - Proceedings

作者： Angelova, Maria A. Velchev, Yuliyan S. Dimitrov, Kalin L. Department of Programming and Computer Technologies Faculty of Computer Systems and Technologies 8 Kliment Ohridski blvd Sofia1000 Bulgaria Department of Radio Communications and Video Technologies Faculty of Telecommunications Technical University of Sofia 8 Kliment Ohridski blvd Sofia1000 Bulgaria

ISBN: (纸本)9781728125749

This article describes the design and implementation of an Embedded Interactive Timing System. Such systems are used in the therapy of children who have learning problems. The matching of different beats can help the brain work more efficiently. A methodology and architecture of an interactive timing is proposed. Open-source software environment and microcontroller is used for the practical realization of the system. Some results of the program functioning are shown. © 2019 IEEE.

关键词： Microcontrollers

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XML to DRF scientific data transformation

XML to DRF scientific data transformation

引用

作者： Gancheva, Veska Department of Programming and Computer Technologies Technical University of Sofia 8 Kliment Ohridski Boul. 1756 Sofia Bulgaria

ISBN: (纸本)9789604742974

Data obtained from the scientific experiments are heterogeneous and distributed. They are stored in different file formats so it is difficult to be integrated, analyzed, and processed. The aim of this paper is to propose an ontology dependent approach to transform XML based scientific data description into RDF instances in order to using them as a complete resource on the Semantic Web. The transforming process includes: establishing an ontology describing the data semantic and links between the elements of the output RDF file;establishing a mapping document defining the relationship between the input XML Schema file and the OWL ontology. The proposed approach has been verified successfully as web service implementation utilizing specific scientific experimental data.

关键词： Ontology

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A Speech Enhancement in Diffuse Noise Field using Minimum Variance Distortionless Response Filter

A Speech Enhancement in Diffuse Noise Field using Minimum Va...

引用

2022 Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2022

ISBN: (纸本)9781665409933

Array signal processing is an important branch in the field of signal processing. It has been widely used in many military and national economic fields such as radar, communications, sonar, navigation, voice signal processing, seismic monitoring, and biomedical engineering. Adaptive beamforming is an important research content in array signal processing. It is essential to perform spatial filtering through adaptive weighting of each array element to achieve the purpose of enhancing the desired signal, suppressing interference and reducing noise signals. Minimum variance distortion response (MVDR) is a commonly used algorithm. It restricts the array gain to 1 in the desired signal direction and minimizes the output power of the array to achieve the purpose of suppressing interference. However, in real-life environment, most processing speech system are affected by various types of noise, like coherence, incoherence, diffuse and ambient noise. These unwanted factors strong degrade performance of designed system. The quality and intelligibility, which one of the most important measurement of output signal, decreases when surrounding environment is too complex. In this paper, the author proposed an improved technology to enhance algorithm MVDR in diffuse noise field. The results illustrated that, the suggested algorithm allowed reducing speech distortion from 5.1÷15.5 (dB). The promising method can be further combined with many speech applications. © 2022 IEEE.

关键词： Speech enhancement

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Traffic and road sign recognition using deep convolutional neural network

Traffic and road sign recognition using deep convolutional n...

引用

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

作者： Kuchkorov, Temurbek Khamzaev, Jamshid Allamuratova, Zamira Ochilov, Temur Tashkent University of Information Technologies Nmaed after Muhammad Al-Khwarizmi Department of Computer Systems Tashkent Uzbekistan Tashkent University of Information Technologies Nmaed after Muhammad Al-Khwarizmi Joint Faculty TUIT-BSUIR Department of Information-computer Technologies and Programming Tashkent Uzbekistan

ISBN: (纸本)9781665432580

Automatic road sign recognition is one of the most important steps to help a driver prevent accidents. In this paper, the deep convolutional neural network (Deep CNN) was used for the autonomous traffic and road signs detection and recognition system. The proposed system works in real-time recognition of the image of road signs. The contribution of this article is that it consists of a newly developed datasets for 42 different road signs using combination of existing datasets and collected local road signs. The images were taken from different angles and included other parameters and conditions. More than 30K images were collected to create the dataset, which is named Uzbekistan traffic and road signs (UZ-TRS-2021). The CNN architecture was used with various parameters to achieve the best recognition speed. Experimental results show that the proposed CNN architecture achieved 98% accuracy. © 2021 IEEE.

关键词： Convolutional neural networks

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