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检索条件"任意字段=15th International Conference on Pattern Recognition and Information Processing, PRIP 2021"

共 204 条记录，以下是11-20 订阅

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Integrated Intelligent System for Scientific and Educational information Retrieval 15

Integrated Intelligent System for Scientific and Educational...

引用

15th international Scientific and Practical conference on Environment. Technology. Resources, ETR 2024

作者： Musaev, Mukhammadjon Rakhmatullaev, Marat Normatov, Sherbek Shukurov, Kamoliddin Abdullaeva, Malika Tashkent University of Information Technologies Named after Muhammad al-Khwarizmi Tashkent Uzbekistan Library Information Systems Tashkent University of Information Technologies Named after Muhammad al-Khwarizmi Tashkent Uzbekistan

ISBN: (纸本)9781713899570

the relevance of creating information systems using artificial intelligence methods and tools is dictated by the following reasons: the volume of scientific and educational information is growing;Traditional information retrieval methods have exhausted themselves. Using only deterministic and iteration methods, rigid algorithms don't give the expected results. they require more time to process information and more memory. Significant progress in recent years in the development of artificial intelligence (AI) methods and systems gives hope that their use will significantly reduce the time needed to search for data for scientific research and educational activities. the aim of the research results presented in the article is to increase the efficiency for scientific and educational information retrieval based on the use of AI methods implemented in the integrated intelligent information system "SMART TUIT". the article presents the results of theoretical and applied research obtained by several departments of the Tashkent University of information Technology (TUIT) in solving the following tasks: Voice recognition for subsequent processing;pattern recognition in order to identify the users of information;Search and processing of scientific and educational resources in electronic libraries;Analysis of information needs of users depending on the level of competence and type of activity;Evaluation of scientific and educational information to identify the most important data sources;Geoinformation system to solve the problems of the location of the information source. Initially, each research area in the departments was aimed at solving a certain class of problems related to medicine, linguistics, electronic libraries, corporate networks, information security systems, etc. the TUIT creative group decided to combine efforts to apply the results obtained to solve the important problem of intellectualizing the search for sources of scientific and educational information amon

关键词： Search engines

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Empowering Accessibility: NLP-Driven Chatbot for Enhanced information Access Among Visually Impaired Individuals 15th

Empowering Accessibility: NLP-Driven Chatbot for Enhanced In...

引用

15th international conference on Soft Computing and pattern recognition, SoCPaR 2023 and 14th World Congress on Nature and Biologically Inspired Computing, NaBIC 2023

作者： Pavani, G. Narasimha Reddy, L. Leela, P. Basi Reddy, A. Yalavarthi, Adithya Sai Veera Vanitha, D. Department of English Velagapudi Ramakrishna Siddhartha Engineering College Vijayawada Kannur India Department of CSE Sri Venkateswara Institute of Technology Ananthapuramu India School of Computing Mohan Babu University Tirupati India KL University A.P. Guntur India Department of ECE Avinashilingam Institute of Home Science and Higher Education for Women Coimbatore India

ISBN: (纸本)9783031810824

In this research, we suggest creating a chatbot that helps persons with disabilities by utilizing natural language processing (NLP). this program not only aids but also directs numerous handicapped individuals. this article presents a solution for visually impaired students who face difficulties in studying text and electronic documents. An experimental prototype is developed using NLP techniques to assist the blind community with information access. the chatbot employs techniques such as automatic index generation, paraphrasing, summarizing, passage retrieval, and query rewriting. the chatbot uses tools such as Torch, Sentence piece, Newspaper3k, and the Natural Language Toolkit to achieve its goals. the proposed software aims to reduce the time required for writing and understanding compositions, making information access easier for visually impaired students and other people. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Chatbots

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Online Antenna Mode Selection for Reconfigurable MIMO via Adaptive Bandit 15

Online Antenna Mode Selection for Reconfigurable MIMO via Ad...

引用

15th IEEE international conference on Wireless Communications and Signal processing, WCSP 2023

作者： Zhang, Boxi Li, Ang Xi'an Jiaotong University School of Information and Communications Engineering Xi'an China

ISBN: (纸本)9798350324662

Reconfigurable antennas (RAs) can enhance link capacity by swiftly changing their radiation pattern to adapt to the wireless propagation environment actively. In order to exploit the property of RAs, selecting the time-varying optimal mode from candidate radiation patterns for MIMO communication is essential but however challenging in a mobile environment. In this paper, we focus on the efficient radiation mode selection for reconfigurable MIMO systems, where the transmit array consists of RAs instead of conventional antennas with fixed radiation mode. Channel prediction based on angle information is studied to obtain the channel state information (CSI) of unselected modes based on the estimated path gains. We further propose two bandit algorithms: upper confidence bound based on adaptive bandit with sliding window (UCB-AB) and thompson sampling based on adaptive bandit with sliding window (TS-AB). UCB-AB and TS-AB exploit the useful parts of outdated CSI outside the sliding window and improve the convergence rate of bandit algorithms under mobile scenarios. Numerical results demonstrate that the introduction of adaptive bandit can enhance the convergence of bandit algorithms and improve the throughput of MIMO systems. © 2023 IEEE.

关键词： antenna mode selection multi-armed bandit (MAB) online learning Reconfigurable antennas (RAs) Reconfigurable MIMO

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Automatic Tuning of the Motion Control System of a Mobile Robot Along a Trajectory Based on the Reinforcement Learning Method 1

引用

15th international conference on pattern recognition and information processing, prip 2021

作者： Tatyana, Kim Prakapovich, Ryhor Laboratory of robotic systems United Institute of Informatics Problems of NAS of Belarus Minsk Belarus Urgench Branch of Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Urgench Uzbekistan

ISBN: (数字)9783030988838

ISBN: (纸本)9783030988821

the is a description of the development process of an adaptive motion controller for a two-wheeled mobile robot along a color-contrast line. the learning process of the controller took place on the basis of the digital twin of the indicated robot, with the use of reinforcement learning technology. the digital twin and reinforcement learning implemented in MATLAB/Simulink frameworks, for the latter, the Reinforcement Learning Toolbox library was used. the mobile robot equipped with a differential driver, and the PID-controller adjusted the angular speed of the rotation of both wheels. therefore, the main purpose of the research work was to determine the coefficients of the PID-controller. the Twin-Delayed Deep Deterministic Policy Gradient Agents was used as a learning algorithm, which used a deterministic actor and a Q-value critic. As a function of reward, the minimization of the distance between the center of the robot and the edge of the nearest section of the color-contrast line was used, as well as the calculation of the angle (γ) between the tangent to the edge of the ellipse curve, where the robot should be located and guided at the current time. the developed environment, which would be influenced by the agent, as well as the policy of the agent, which provides a detailed diagram of the neural network for the actor and the critic. Different methods carried out for the comparison of the results, such as genetic algorithms and reinforcement learning by the TD3 algorithm. the experiments have shown that the founded coefficients of the PID-controller afford control the movement of the robot accurately, even on an unfamiliar track. © 2022, Springer Nature Switzerland AG.

关键词： Reinforcement learning

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Research on the Motion recognition by Statistical Method Based on RFID Technology 15

Research on the Motion Recognition by Statistical Method Bas...

引用

15th international conference on Microwave and Millimeter Wave Technology, ICMMT 2023

作者： Du, Guohong Ren, Haojie Zhao, Yuan Sun, Xiaofeng Li, Ximing Chengdu University of Information Technology Cma Key Laboratory of Atmospheric Sounding-KLAS Chengdu610000 China

ISBN: (纸本)9798350338874

Motion recognition is a popular research topic in recent years, and the corresponding data processing to obtain the motion characteristics is one of the most important parts. In this paper, a statistical method is proposed to process the data obtained by RFID (Radio Frequency Identification) system. After calculating the PDF (Probability Density Function) curves of RSSI (Received Signal Strength Indicator), the power distribution of different motions can be obtained, such as the power value with the maximum probability of occurrence and its corresponding PDF value, the number of peak values. Different actions can be distinguished according to these features. © 2023 IEEE.

关键词： Statistical methods

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ArtDiff: Artwork Generation via Conditional Diffusion Models 23

ArtDiff: Artwork Generation via Conditional Diffusion Models

引用

15th international conference on Digital Image processing, ICDIP 2023

作者： Liu, Wenhui Liu, Bin Lin, Xiao Li, Bo He, Zhifen Wang, Kang School of Mathematics and Information Science Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Nanchang Hangkong University Jiangxi Nanchang China Department of Supercomputing Management Jiangxi Science and Technology Infrastructure Center Jiangxi Nanchang China

ISBN: (纸本)9798400708237

Artwork Generation is an important research area of computer vision. Recently, kinds of generative models have achieved great success in natural image generation. However, artwork generation has rarely been studied due to the unfixed structure of artworks. Combined with prevailing diffusion models, we propose a simple yet effective framework, named as ArtDiff, for artwork generation. Given a name of an artist, we can generate diverse and novel artworks which reflecting the style of the artist. To the best of our knowledge, ArtDiff is the first diffusion model that generate artworks with the guidance of artist's name. Experimental results demonstrate that ArtDiff is able to recognize the artist's preference and generate artworks with reasonable structures and fine-grained details. © 2023 ACM.

关键词： Diffusion

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An Effective Shadow Extraction Method for SAR Images 23

An Effective Shadow Extraction Method for SAR Images

引用

15th international conference on Digital Image processing, ICDIP 2023

作者： Zhao, Zhiyuan Xue, Xiaorong Fan, Yisheng Xiao, Xiang School of Electronics and Information Engineering Liaoning University of Technology Liaoning China

ISBN: (纸本)9798400708237

Since the target's shadow in a synthetic aperture radar (SAR) image can provide significant features, it is becoming a crucial discriminative feature for interpreting SAR images. In this paper, we propose a new segmentation method based on simple linear iterative clustering (SLIC) superpixel segmentation and merging to extract the targets' shadow regions in SAR images. the process is divided into four stages. Firstly, the original SAR image is preprocessed using logarithmic transform and anisotropic diffusion filtering. Secondly, the preprocessed image is segmented with the SLIC method. then, we propose a technique based on the shadow superpixel marker to merge superpixels to obtain the shadow region. Finally, the merged edge of the shadow region is smoothed using the morphological closing operation to get the final shadow detection result. the experimental results based on the public Moving and Stationary Target Acquisition and recognition (MSTAR) dataset demonstrate the feasibility of the proposed method. © 2023 ACM.

关键词： Image segmentation

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Design of Broadband Magnetoelectric Dipole Antenna Based on Inverted L-shaped Structure 15

Design of Broadband Magnetoelectric Dipole Antenna Based on ...

引用

15th international conference on Microwave and Millimeter Wave Technology, ICMMT 2023

作者： Zhang, Yan Ye, Haoran Zhang, Jialing Beihang University School of Electronic Information Engineering China

ISBN: (纸本)9798350338874

In this paper, a new inverted L-shaped magnetoelectric dipole structure is constructed. the impedance bandwidth of this magnetoelectric dipole antenna is 4.79-7.60GHz, which is suitable for 5G broadband antenna. the inverted L-shaped design and the improvement of relevant parameters make the structure of the magnetoelectric dipole simple and convenient for processing and assembly. the gain reaches more than 0dB in the frequency band. After optimization, the symmetry and the uniformity of the forward radiation of the radiation pattern are improved. © 2023 IEEE.

关键词： Dipole antennas

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OCF-Layout2Img: Object-Wise Constraint Free Layout to Image Generation 23

OCF-Layout2Img: Object-Wise Constraint Free Layout to Image ...

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15th international conference on Digital Image processing, ICDIP 2023

作者： Lin, Xiao Liu, Bin He, Zhifen Wang, Kang Li, Bo School of Mathematics and Information Science Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Nanchang Hangkong University China Jiangxi Science and Technology Infrastructure Center Jiangxi Computing Center China

ISBN: (纸本)9798400708237

Complex scene generation is an important and challenging image synthesis task. though latent space based conditional generative methods get impressive results, the accurate locating of objects for more detailed situation and editable contiguous synthesis are still a snag. In addition, previous methods with spatial awareness are easy to lose the location information after a series fusion operation. Focusing on such kind of problems, in this paper we propose an object-wise constraint free and location-lossless way of layout embedding by combining VAE and recent high performance VQGAN to achieve a location accurate and stable synthesis for layouts of complex scene. Instead of conditioning on layout, we apply a pretrained VQGAN to define the latent space and project every region of layout to image latent space directly by aligning their distribution with a novel light Cross-VAE structure. then the quantization and decoder of VQGAN are reused for synthesis. this VAE plugged into VQGAN framework, which is called Layout-DVGAN in this paper. Experimental results demonstrate our method has competitive performance compared with the approaches which applied explicit spatial awareness way. © 2023 ACM.

关键词： Location

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An Algorithm Based on Random Forest for In-vehicle Navigation pattern recognition 15

An Algorithm Based on Random Forest for In-vehicle Navigatio...

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15th IEEE international conference on Electronic Measurement and Instruments, ICEMI 2021

作者： Zhu, Jiangmiao Dong, Xiaofei Wang, Pengfei Huang, Yan Beijing University of Technology Faculty of Information Technology Beijing China Institute of Electromagnetic Information and Satellite Navigation Beijing Institute of Metrology Beijing China

ISBN: (纸本)9781665444910

In view of the problem of inaccurate navigation pattern recognition in complex driving environment, a navigation pattern recognition algorithm based on random forest is proposed. Firstly, the error source of navigation components is analyzed to determine the factors affecting the accuracy of different navigation patterns, as the characteristic vector of designing random forest models. Secondly, the data set is constructed by recording the data collected by the vehicle. the random forest model is trained with 70% random data in data set, and the recognition rate is verified with the remaining 30% data. the average recognition rate of this algorithm is 88%, which can meet the needs of the work. © 2021 IEEE.

关键词： pattern recognition

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