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检索条件"任意字段=Conference on Algorithms and Systems for Optical Information Processing V"

共 4318 条记录，以下是121-130 订阅

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Machine Learning algorithms Based on variations of the Least Squares Method for Power Amplifier Distortion Compensation

Machine Learning Algorithms Based on Variations of the Least...

引用

2025 systems of Signals Generating and processing in the Field of on Board Communications, SOSG 2025

作者： Komarov, Igor v. Gorgadze, Svetlana F. Moscow Technical University of Communications and Informatics Moscow Russia

ISBN: (纸本)9798331532635

variants of indirect learning based on the Least Squares Method (LSM) and the Recursive Least Squares Method (RLSM) are considered for digital predistortion of nonlinear distortions in complex composite signals with high peak-toaverage power ratios in power amplifiers. The advantage of the recursive algorithm is identified, providing approximately 9 dB lower levels of spurious out-of-band emissions for the amplified complex signal compared to the simple least squares algorithm. It is shown that for the polynomial model of the power amplifier used in the study, the recursive algorithm requires approximately 700 times more elementary mathematical operations to achieve the most efficient compensation of signal nonlinearities than the least squares algorithm. © 2025 IEEE.

关键词： Nonlinear distortion

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A Word Structure Similarity Framework for Wordle Game 15

A Word Structure Similarity Framework for Wordle Game

引用

15th International conference on Signal processing systems, ICSPS 2023

作者： Huang, Yi Rao, Wenjun Lao, Bin Lu, Wei Han, Ling Bo School of Information Science and Technology Guangdong University of Foreign Studies China School of Foreign Languages Sun Yat-sen University China School of Electronics and Information Engineering Guangdong Ocean University China

ISBN: (纸本)9781510675056

In 2022, lots of tweets consisting of emoji squares and a few words describing moods emerge on Twitter. In fact, it is the result of a word guessing game called Wordle. In order to figure out the relationship among words in Wordle, this paper tries to study the feedback data of its players and extract useful information to further improve the design of Wordle as well as other games of its kind. Specifically, from the perspective of word structure, strict and fuzzy matching algorithms were designed to simulate the data distribution of target word, while some common structure features of words were extracted and weighted by word frequency. On one hand, the data distribution of the target word is simulated with reference to the words with the most similar structures. On the other hand, the difficulty of a word in the Wordle game was quantified by analyzing the number of player’s tries, and then the difficulty coefficient of each word was calculated. Combined with the above numerical algorithms, the difficulty of the target word was evaluated objectively by the difficulty of its similar word sequences. Experiments showed that the proposed framework achieved good performance on the Wordle dataset. Our work was awarded Honorable Mention in 2023 Mathematical Contest in Modeling (MCM). © 2024 SPIE.

关键词： Data mining

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Efficient Black-Box Adversarial Attacks with Training Surrogate Models Towards Speaker Recognition systems 1

引用

23rd International conference on algorithms and Architectures for Parallel processing (ICA3PP)

作者： Wang, Fangwei Song, Ruixin Li, Qingru Wang, Changguang Hebei Normal Univ Key Lab Network & Informat Secur Hebei Prov Shijiazhuang 050024 Peoples R China Hebei Normal Univ Coll Comp & Cyberspace Secur Shijiazhuang 050024 Peoples R China

ISBN: (数字)9789819708086

ISBN: (纸本)9789819708079;9789819708086

Speaker Recognition systems (SRSs) are gradually introducing Deep Neural Networks (DNNs) as their core architecture, while attackers exploit the weakness of DNNs to launch adversarial attacks. Previous studies generate adversarial examples by injecting the human-imperceptible noise into the gradients of audio data, which is termed as white-box attacks. However, these attacks are impractical in real-world scenarios because they have a high dependency on the internal information of the target classifier. To address this constraint, this study proposes a method applying in a black-box condition which only permits the attacker to estimate the internal information by interacting with the model through its inputs and outputs. We use the idea of the substitution-based method and transfer-based method to train various surrogate models for imitating the target models. Our methods combine the surrogate models with white-box methods like Momentum Iterative Fast Gradient Sign Method (MI-FGSM) and Enhanced Momentum Iterative Fast Gradient Sign Method (EMI-FGSM) to boost the performance of the adversarial attacks. Furthermore, a transferability analysis is conducted on multiple models under cross-architecture, cross-feature and cross-architecture-feature conditions. Additionally, frequency analysis also provides us with valuable findings about adjusting the parameters in attack algorithms. Massive experiments validate that our attack yields a prominent performance compared to previous studies.

关键词： Speaker Recognition systems Adversarial Example Adversarial Attack information Security

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Strengthen Aircraft Real-Time Multiple Object Tracking with optical Flow and Histogram of Oriented Gradient Provided HSMA Implemented in Low-Cost Energy vPU for UAv 3

Strengthen Aircraft Real-Time Multiple Object Tracking with ...

引用

3rd International conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2023

作者： Mohamed, Benaly Hajar, El Karch Noura, Jariri Rachid, El Gouri Lamaari, Hlou Abdelkader, Mezouari Ibn Tofail University Laboratory of Electronic Systems Information Processing Mechanics and Energetics Faculty of Sciences Kenitra Morocco National School of Applied Sciences Ibn Tofail University Laboratory of Advanced Systems Engineering Kenitra Morocco

ISBN: (纸本)9798350398366

Researchers and algorithm developers have always strived to make tracking more accurate than before, by developing deferents algorithms that prove their efficiency and effectiveness in international competitions (vOT, MOT challenge,...), but taking care of one side without others may be the reason why limiting the fields of application of that software, which makes them confined only to these competitions or confined to applications domains without others and this is not the end object in itself. For example, the use of complex tracking algorithms in the drone makes the processing unit very slow and unsuitable for real-time tracking, instead that the use of highly efficient processing systems for acceleration consumes a lot of energy, which reduces the time the drone stays in flight. In this paper, we suggest our approach;HashSet Matching Algorithm (HSMA) provided by optical Flow appearance features and HOG for developing an object-tracking algorithm to address the issue of a complex MOT algorithm for real-time tracking. The MOT challenge data-set experiment results show that the suggested technique can handle object occlusion difficulties successfully while reducing processing time. This algorithm is implemented in the vision processing Unit (vPU) to enhance the time flying of UAvs and to ensure low energy consumption. Our approach performs very well in real application scenarios, demonstrating that it is more practical. © 2023 IEEE.

关键词： optical flows

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Research on traffic sign recognition algorithms for autonomous vehicles in smart city traffic systems 4

Research on traffic sign recognition algorithms for autonomo...

引用

4th International conference on Computer vision and Pattern Analysis, ICCPA 2024

作者： Wang, Chuanfei School of Government Beijing Normal University Beijing100875 China

ISBN: (纸本)9781510682528

With the continuous advancement of smart city construction, autonomous driving technology is playing an increasingly important role in urban traffic systems. This study aims to explore the development and optimization of traffic sign recognition algorithms for autonomous vehicles in smart city traffic environments. By comprehensively analyzing current traffic sign recognition technologies, this paper proposes a traffic sign recognition system based on the YOLOv5 algorithm and utilizes the open-source COCO dataset for model training and testing. The images were preprocessed and annotated, employing CSPDarknet53 as the backbone network, which effectively extracts image features through multiple convolutional layers and residual blocks. A deep learning model was trained, capable of recognizing and classifying various traffic signs such as stop, speed limit, and turn signs. The research results indicate that the model demonstrates high average precision (AP) on the COCO dataset, effectively identifying traffic signs of different sizes and angles, even in complex backgrounds, with high robustness. Compared to traditional methods, the recognition accuracy has improved by 15%, and it has a significant advantage in real-time processing. © 2024 SPIE.

关键词： Object detection Detection and tracking algorithms Unmanned vehicles Performance modeling Feature extraction Image processing Data modeling Image segmentation Mathematical optimization

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The digitization of ESG matrix

The digitization of ESG matrix

引用

2023 International conference on ENTERprise information systems, CENTERIS 2023 - International conference on Project MANagement, ProjMAN 2023 - International conference on Health and Social Care information systems and Technologies, HCist 2023

作者： Telukdarie, Arnesh Mahure, Hlobisile Sishi, Michael Johannesburg Business School 69 Kingsway Ave Auckland Park Johannesburg South Africa

Investors and stakeholders have intensified the demand for responsible and sustainable business practices. However, traditional ESG ratings suffer from transparency, comparability, and consistency challenges, limiting stakeholders' ability to make meaningful comparisons and interpretations. Despite efforts by organizations like GRI, CDP, and SASB to standardize ESG reporting frameworks, a universal definition remains elusive. This study proposes an advanced ESG rating technique based on key categories and consolidated indicators. This technique establishes a standardized and reliable approach to measuring ESG performance. Moreover, the study is grounded in sustainability theories which emphasize standardizing ESG metrics. This study proposes the adoption of natural language processing to identify, and auto-populate the consolidated ESG matrix. ML (Machine Learning) algorithms are used to identify and analyze sustainability-related documents and reports, such as annual reports, and sustainability statements. The research findings may interest managers interested in integrating social responsibility into their decision-making process. © 2024 The Author(s). Published by Elsevier B.v.

关键词： Corporate Social Performance Environment Social and Governance Natural Language processing

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Imaging System Based on Single Photodiode 10

Imaging System Based on Single Photodiode

引用

10th International conference on information Technology and Nanotechnology, ITNT 2024

作者： Osepan, S.M. Skidanov, R.v. Ivliev, N.A. Khanenko, Yu.v. Markushin, M.A. Samara National Research University Samara Russia Image Processing Systems Institute Nrc 'Kurchatov Institute' Samara National Research University Samara Russia

ISBN: (数字)9798350372939

ISBN: (纸本)9798350372939

A short wave infrared range (SWIR) imaging system using a lens, rotating substrate with applied Walsh matrices, single photodiode and a 10-bit ADC has been proposed. The possibility of using the Walsh function for encoding and restoring an optical signal is shown. A description of the design of the developed system is presented. The parameters of the structure of an encoding disk suitable for production at a circular laser recording station have been calculated. The quality of image restoration was assessed, according to which the structural similarity of the original image and the restored one is quite high, which indicates that the both images are almost identical. © 2024 IEEE.

关键词： Imaging systems

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Design of Wearable Device for visually Impaired People using Image processing

Design of Wearable Device for Visually Impaired People using...

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2024 International conference on Smart systems for Electrical, Electronics, Communication and Computer Engineering, ICSSEEC 2024

作者： Kaliappan, E. Raghavendran, C.R. Kesavan, T. Jeevapandiyan, S. vikas, v. Prajapati, K. Dhruv Easwari Enginnering College Dept of Electrical and Electronics Enginnering Chennai India

ISBN: (纸本)9798350378177

This paper presents the design of a compact wearable device for visually impaired individuals. It features facial recognition to identify friends and relatives with real-time database updating. Additionally, it includes image-to-speech and optical character recognition (OCR) for converting visual information into audible formats. The device aims to enhance selfsufficiency and spatial cognition through advanced image processing. By integrating cutting-edge functionalities like facial recognition and OCR, it seeks to empower users, promoting greater autonomy and inclusion in daily activities. © 2024 IEEE.

关键词： Face recognition

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Research on Carrier Phase Recovery in Coherent optical Communication systems 24

Research on Carrier Phase Recovery in Coherent Optical Commu...

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2024 International conference on Image processing, Intelligent Control and Computer Engineering, IPICE 2024

作者： Liu, Hao Zheng, Jiangpeng He, Qiuting Key&Core Technology Innovation Institute of the Greater Bay Area China

ISBN: (纸本)9798400710285

Coherent optical communication system (COCS) can achieve high-speed and long-distance transmission, but their structure is complex and costly. In coherent optical communication, problems such as link damage caused by the transmission medium and noise in transmission affect the transmission of data information. At the same time, the recovery of original data is also the key to optical communication. In response to these problems, this paper studies the carrier phase recovery in COCS. The article analyzes the advantages and disadvantages of existing phase recovery algorithms (PRA) and proposes a PRA based on the minimum first-order distance (MFOD). The algorithm first uses a blind phase search algorithm to find a rough estimate interval of the phase noise, and then uses MFOD to quickly find the phase noise and reduce the complexity of the algorithm. The simulation results show that the line width tolerance of the PRA based on the MFOD and the blind phase search algorithm are basically the same, but the complexity is reduced by 68% compared with the blind phase search algorithm. © 2024 Copyright held by the owner/author(s).

关键词： optical fiber communication

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A Review of the Applications of Quantum Machine Learning in optical Communication systems 28

A Review of the Applications of Quantum Machine Learning in ...

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28th European Wireless conference, EW 2023

作者： Modi, Ark Jasso, Alonso viladomat Ferrara, Roberto Deppe, Christian Nötzel, Janis Fung, Fred Schädler, Maximilian Germany Emmy Noether Group for Theoretical Quantum Systems Design Technical University of Munich MunichD-80333 Germany Optical and Quantum Laboratory Munich Research Center Huawei Technologies Düsseldorf GmbH Riesstr. 25-C3 Munich80992 Germany

ISBN: (纸本)9783800762262

In the context of optical signal processing, quantum and quantum-inspired machine learning algorithms have massive potential for deployment. One of the applications is in error correction protocols for the received noisy signals. In some scenarios, non-linear and unknown errors can lead to noise that bypasses linear error correction protocols that optical receivers generally implement. In those cases, machine learning techniques are used to recover the transmitted signal from the received signal through various estimation procedures. Since quantum machine learning algorithms promise advantage over classical algorithms, we expect that optical signal processing can benefit from these advantages. In this review, we survey several proposed quantum and quantum-inspired machine learning algorithms and their applicability with current technology to optical signal processing. © vDE vERLAG GMBH - Berlin - Offenbach.

关键词： Quantum computers

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