Overview of the digital-to-analog converter module based on the MCP4725 chip and the digital-to-analog converter module based on the integrating RC circuit by Kirill A. Volobuev, Igor V. Trubin, Vitaly G. Trubin

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Artificial Intelligence on the Identification of Beiguan Music by Yu-Hsin CHANG, Shu-Nung YAO

“…This research determines an identification system for the types of Beiguan music – a historical, nonclassical music genre – by combining artificial neural network (ANN), social tagging, and music information retrieval (MIR). Based on the strategy of social tagging, the procedure of this research includes: evaluating the qualifying features of 48 Beiguan music recordings, quantifying 11 music indexes representing tempo and instrumental features, feeding these sets of quantized data into a three-layered ANN, and executing three rounds of testing, with each round containing 30 times of identification. …”
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Quantum Field Tensor Model of Telecommunication Network Objects Interaction Based on Lie Groups by Victor Tikhonov, Yevhen Vasiliu, Eduard Siemens, Oksana Vasylenko, Olena Tykhonova, Kateryna Shulakova, Olexandr Demchenko

“…This approach allows for the representation of closed-time cyclic experiments, such as evaluating interactions between network nodes, as a continuous tensor field on a quantized topological circle. This framework not only provides a comprehensive perspective on information processes in data transmission networks but also draws parallels with elementary particle interactions in quantum physics. …”
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Benchmarking In-Sensor Machine Learning Computing: An Extension to the MLCommons-Tiny Suite by Fabrizio Maria Aymone, Danilo Pietro Pau

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CNN-Based Optimization for Fish Species Classification: Tackling Environmental Variability, Class Imbalance, and Real-Time Constraints by Amirhosein Mohammadisabet, Raza Hasan, Vishal Dattana, Salman Mahmood, Saqib Hussain

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QSA-QConvLSTM: A Quantum Computing-Based Approach for Spatiotemporal Sequence Prediction by Wenbin Yu, Zongyuan Chen, Chengjun Zhang, Yadang Chen

“…Traditional ConvLSTM models face inherent limitations in this regard, along with the challenge of information decay, which negatively impacts prediction performance. …”
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A Transductive Zero-Shot Learning Framework for Ransomware Detection Using Malware Knowledge Graphs by Ping Wang, Hao-Cyuan Li, Hsiao-Chung Lin, Wen-Hui Lin, Nian-Zu Xie

“…ZSL models leverage auxiliary semantic information and binary feature representations to enhance the recognition of novel threats. …”
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Effects of realistic reradiation models in digital reconfigurable intelligent surfaces by Marco Di Renzo, Abdelhamed Mohamed, Alessio Zappone, Gabriele Gradoni, Marco Rossi, Massimo Moccia, Giuseppe Castaldi, Vincenzo Galdi

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Energy-aware federated learning for secure edge computing in 5G-enabled IoT networks by Milad Rahmati

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Speed up integer-arithmetic-only inference via bit-shifting by Mingjun Song, Yiming Zhou, Mengmeng Song, Sujie Liu, Shungen Xiao, Youshun Zheng

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Feedback bit allocation in distributed antenna array systems by Shuai ZHANG, Peng PAN, Cui WANG

“…In a frequency division duplex communication system,precoding at the base station usually requires terminal feedback channel state information.In a distributed array system,the channel conditions between the terminal and different access nodes in the cell are different because multiple access nodes are arranged at different locations in the cell.When the resources for feedback channel state information are limited,the allocation method of feedback bit needs to be optimized to improve the overall performance of the system.In a multi-user distributed array system,an access node selection method based on distance threshold was adopted.Based on this method,the quantization characteristics of the random vector quantization codebook and the Taylor expansion method were used to derive the system quantization capacity loss,and then an approximate expression was given.Based on this expression,a feedback bit allocation method was proposed.Compared with other allocation methods,the method of this paper was more universal because it did not limit the number of access nodes selected by the user.The simulation results show that the strategy proposed is superior to the traditional equal-bit allocation scheme and can obtain better performance when the feedback resources are limited.…”
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Data transmission with Simulink on 6-DoF platform on CAN BUS by V. G. Mikhailov

“…The program of transfer/data exchange with Simulink on stand control devices with quantization is developed. Influence of parameter of quantization for the period of modeling is investigated. …”
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A New QIM-Based Watermarking Method Robust to Gain Attack by Yevhen Zolotavkin, Martti Juhola

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The problems of numerical inequalities estimates by Viktor A. Kapitanov, Anna A. Ivanova, Aleksandra Y. Maksimova

“…The purpose of this paper is to compare the shortcomings of the widely used inequality coefficients that appear when working with real (ie, knowingly incomplete) data and searching for alternative quantitative methods for describing inequalities that lack these shortcomings.Research methods:– consideration of an extensive range of as full as possible real data on the population distribution by income, expenditure, property (ie data on the economic structure of society);– revealing the specific shortcomings of these data on the economic structure of society, finding out which information is missing or presented disproportionately;– comparison of the values of the most widely used indices of inequality calculated on real data on the economic structure, with a view to establishing the suitability of these indicators for problems of inequality estimation;– development of an index of inequality that adequately describes the real economic structure of society.Research data:– official data of Rosstat and the Federal Tax Service on incomes of Russian citizens;– specialized sites of announcements about the prices for real estate and cars;– Credit Suisse Research Institute data on the distribution of Russian citizens by property level;– Forbes data on income and wealth of the richest people in Russia.It is shown that the income data are essentially incomplete and fragmentary – the width of the income range (i.e., the income of therichest member of society) is known, but the filling of rich cohorts is not known, since the incomes of the richest members of society are hidden.We proposed the next (criteria as) requirements for an inequality index:–  possibility of calculating the index of inequality for arbitrary quantization;– invariance of the value of the inequality index for different quantization of the same data;– sensitivity of the index to the width of the income range.It is noted that only the exponential function describes societies with high social inequality enough well (the intensity of the exponential distribution is more than 10).For the presented population distributions, the next indices of inequality are calculated:– decile coefficient of funds;– Gini coefficient;– Pareto index;– indicators of total entropy (zero, first or Tayle index, and second orders);– the ratio of maximum income (property value) to the modal;– intensity of exponential distribution.It is shown, that:– the value of the Pareto index does not have a unique relationship with the inequality;– the coefficients of the funds (decile, quintile, etc.) are not computable for arbitrary quantization, and therefore are unsuitable for comparing data from various sources and have different quantization;– The Gini index requires complete data on the rich;– from all considered criteria of inequality the first three indicators of the total entropy, as well as the ratio of maximum income (property) to the modal strongly depend on data quantization.Therefore they are unsuitable for comparison data from various sources with different quantization. …”
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Elimination Methods for High-Frequency Harmonics on the DC Side of Modular Multilevel Converters from the Perspective of Valve Control by Qing Huai, Yirun Ji, Minxiang Yang, Ziyao Jie, Xi Yuan, Xiang Xu

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Impact of climate change on the distribution of Ligustrum leucanthum using MaxEnt modeling by Guiquan Song, Shufang Liu, Xijian Song, Xuelian Jiang, Shuai Gong, Wenya Hao, Ying Cui, Yueling Zhao

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A Study on Text Classification in the Age of Large Language Models by Paul Trust, Rosane Minghim

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Dual-Branch Neural Network-Based In-Loop Filter for VVC Intra Coding Using Spatial-Frequency Feature Fusion by Zhen Feng, Xu Liu, Cheolkon Jung

“…The QP map provides quantization information for the reconstructed frame, while the predicted frame and partition frame represent compression artifacts by VTM. …”
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Binary Transformer Based on the Alignment and Correction of Distribution by Kaili Wang, Mingtao Wang, Zixin Wan, Tao Shen

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Limited Feedback for 3D Massive MIMO under 3D-UMa and 3D-UMi Scenarios by Zheng Hu, Shaoli Kang, Xin Su

“…Based on the angle quantization codebook, the subsampled 3-bit DFT codebook is designed for vertical domain. …”
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