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19th International Conference on Cognition and Exploratory Learning in the Digital Age, CELDA 2022

作者： Avdeeva, Svetlana Uvarov, Alexander Institute of Education National Research University Higher School of Economics Moscow Russia National Training Foundation Moscow Russia The Federal Research Centre "Computer Science and Control" of the Russian Academy of Sciences Institute of Education National Research University Higher School of Economics Moscow Russia

ISBN: (纸本)9789898704436

Some results of the basic school (14 years old) students' information and communication competence (ICC) in the digital environment study are discussed. About 30,000 students (14 years old) took part in the study. Information and Communication Literacy is considered as the ability to use digital technologies to search, manage, integrate, evaluate and create information. It is one of the key competencies that all of basic school graduates should obtain. As the availability of digital technologies grows, the gap in the ability of students to use them productively becomes more and more noticeable. The study identifies the actual students' information and communication competencies deficits at the stage of middle school completion. Performance-based online Information and Communication Literacy test (ICL-test) was the main research tool of the study. An attempt was made to determine to what extent the level of students' ICC is related to the work of the school, and to what extent it depends on the extracurricular environment. The results of the study indicate a strong connection between the ICC of ninth graders and their out-of-school environment and a weak connection with the work of the school. The reasons for the insufficient level of the ICC in a significant part of the graduates of the basic school are discussed and recommendations for its increase are proposed. It was found that ICL-test is a reliable online instrument to measure students' information and communication competence. © 2022 Proceedings of the 19th International Conference on Cognition and Exploratory Learning in the Digital Age, CELDA 2022. All rights reserved.

关键词： E-learning

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Benchmarking the Full-Order Model Optimization Based Imitation in the Humanoid Robot Reinforcement Learning Walk

arXiv

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arXiv 2023年

作者： Chaikovskaya, Ekaterina Minashina, Inna Litvinenko, Vladimir Davydenko, Egor Makarov, Dmitry Danik, Yulia Gorbachev, Roman Moscow Institute of Physics and Technology Russia Federal Research Center "Computer Science and Control" of Russian Academy of Sciences Russia

When a gait of a bipedal robot is developed using deep reinforcement learning, reference trajectories may or may not be used. Each approach has its advantages and disadvantages, and the choice of method is up to the control developer. This paper investigates the effect of reference trajectories on locomotion learning and the resulting gaits. We implemented three gaits of a full-order anthropomorphic robot model with different reward imitation ratios, provided sim-to-sim control policy transfer, and compared the gaits in terms of robustness and energy efficiency. In addition, we conducted a qualitative analysis of the gaits by interviewing people, since our task was to create an appealing and natural gait for a humanoid robot. According to the results of the experiments, the most successful approach was the one in which the average value of rewards for imitation and adherence to command velocity per episode remained balanced throughout the training. The gait obtained with this method retains naturalness (median of 3.6 according to the user study) compared to the gait trained with imitation only (median of 4.0), while remaining robust close to the gait trained without reference trajectories. Copyright © 2023, The Authors. All rights reserved.

关键词： Anthropomorphic robots

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Numerical Study of Stability of an Algorithm for Identifying the Thermal Conductivity in the Three-Dimensional Case

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Journal of Mathematical sciences (United States) 2022年第4期267卷 474-482页

作者： Evtushenko, Yu. G. Zubov, V.I. Albu, A.F. Federal Research Center “Computer Science and Control” of RAS 40 Vavilov St. Moscow 119333 Russian Federation Moscow Institute of Physics and Technology 9 Institutskiy per. Dolgoprudny 141701 Russian Federation

We consider the problem of identifying the temperature-dependent thermal conductivity of a material in the three-dimensional case. We numerically study the stability of the algorithm based on the fast automatic differentiation technique. We show that a perturbation of experimental data leads to a perturbation of the sought thermal conductivity of the same order. © 2022, Springer science+Business Media, LLC, part of Springer Nature.

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A general modeling and simulation framework for dynamic vehicle routing

arXiv

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arXiv 2024年

作者： Horváth, Markó Tamási, Tímea HUN-REN Institute for Computer Science and Control Budapest Hungary Department of Operations Research Institute of Mathematics ELTE Eötvös Loránd University Budapest Hungary

In dynamic vehicle routing problems (DVRPs), some part of the information is revealed or changed on the fly, and the decision maker has the opportunity to re-plan the vehicle routes during their execution, reflecting on the changes. Accordingly, the solution to a DVRP is a flexible policy rather than a set of fixed routes. A policy is basically a problem-specific algorithm that is invoked at various decision points in the planning horizon and returns a decision according to the current state. Since DVRPs involve dynamic decision making, a simulator is an essential tool for dynamically testing and evaluating the policies. Despite this, there are few tools available that are specifically designed for this purpose. To fill this gap, we have developed a simulation framework that is suitable for a wide range of dynamic vehicle routing problems and allows to dynamically test different policies for the given problem. In this paper, we present the background of this simulation tool, for which we proposed a general modeling framework suitable for formalizing DVRPs independently of simulation purposes. Our open source simulation tool is already available, easy to use, and easily customizable, making it a useful tool for the research community. © 2024, CC BY.

关键词： Vehicle routing

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${\sf Img2Acoustic}$Img2Acoustic: A Cross-Modal Gesture Recognition Method Based on Few-Shot Learning

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IEEE Transactions on Mobile Computing 2024年第3期24卷 1496-1512页

作者： Yongpan Zou Jianhao Weng Wenting Kuang Yang Jiao Victor C. M. Leung Kaishun Wu College of Computer Science and Software Engineering Shenzhen University Shenzhen China Faculty of Computer Science and Control Engineering Shenzhen University of Advanced Technology Shenzhen China Artificial Intelligence Research Institute Shenzhen MSU-BIT University Shenzhen China Information Hub Hong Kong University of Science and Technology Guangzhou China

Acoustic-based human gesture recognition (HGR) offers diverse applications due to the ubiquity of sensors and touch-free interaction. However, existing machine learning approaches require substantial training data, making the process time-consuming, costly, and labor-intensive. Recent studies have explored cross-modal methods to reduce the need for large training datasets in behavior recognition, but they typically rely on open-source datasets that closely align with the target domain, limiting flexibility and complicating data collection. In this paper, we propose ${\sf Img2Acoustic}$ , a novel cross-modal acoustic-based HGR approach that leverages models trained on open-source image datasets (i.e., EMNIST, Omniglot) to effectively recognize custom gestures detected via acoustic signals. Our model incorporates a task-aware attention layer (TAAL) and a task-aware local matching layer (TALML), enabling seamless transfer of knowledge from image datasets to acoustic gesture recognition. We implement ${\sf Img2Acoustic}$ on commercial devices and conduct comprehensive evaluations, demonstrating that our method not only delivers superior accuracy and robustness compared to existing approaches but also eliminates the need for extensive training data collection.

关键词： Training Gesture recognition Acoustics Data models Sensors Feature extraction Target recognition Mobile computing Image recognition Few shot learning

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Development of an Adaptive Artifact Subspace Reconstruction Based on Hebbian/Anti-Hebbian Learning Networks for Enhancing BCI Performance

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IEEE Transactions on Neural Networks and Learning Systems 2024年第1期35卷 348-361页

作者： Tsai, Bo-Yu Diddi, Sandeep Vara Sankar Ko, Li-Wei Wang, Shuu-Jiun Chang, Chi-Yuan Jung, Tzyy-Ping Institute of Biomedical Engineering and the Brain Research Center National Yang Ming Chiao Tung University Hsinchu300 Taiwan Hsinchu300 Taiwan College of Biological Science and Technology National Yang Ming Chiao Tung University Hsinchu300 Taiwan Institute of Electrical and Control Engineering Institute of Biomedical Engineering Brain Research Center College of Electrical and Computer Engineering National Yang Ming Chiao Tung University Department of Electronics and Electrical Engineering Hsinchu300 Taiwan Kaohsiung Medical University Department of Biomedical Science and Environment Biology Drug Development and Value Creation Research Center Kaohsiung807 Taiwan Taipei Veterans General Hospital Taipei11217 Taiwan National Yang Ming Chiao Tung University Brain Research Center School of Medicine Taipei112 Taiwan University of California San Diego Swartz Center for Computational Neuroscience San DiegoCA92093 United States

Brain-computer interface (BCI) actively translates the brain signals into executable actions by establishing direct communication between the human brain and external devices. Recording brain activity through electroencephalography (EEG) is generally contaminated with both physiological and nonphysiological artifacts, which significantly hinders the BCI performance. Artifact subspace reconstruction (ASR) is a well-known statistical technique that automatically removes artifact components by determining the rejection threshold based on the initial reference EEG segment in multichannel EEG recordings. In real-world applications, the fixed threshold may limit the efficacy of the artifact correction, especially when the quality of the reference data is poor. This study proposes an adaptive online ASR technique by integrating the Hebbian/anti-Hebbian neural networks into the ASR algorithm, namely, principle subspace projection ASR (PSP-ASR) and principal subspace whitening ASR (PSW-ASR) that segmentwise self-organize the artifact subspace by updating the synaptic weights according to the Hebbian and anti-Hebbian learning rules. The effectiveness of the proposed algorithm is compared to the conventional ASR approaches on benchmark EEG dataset and three BCI frameworks, including steady-state visual evoked potential (SSVEP), rapid serial visual presentation (RSVP), and motor imagery (MI) by evaluating the root-mean-square error (RMSE), the signal-to-noise ratio (SNR), the Pearson correlation, and classification accuracy. The results demonstrated that the PSW-ASR algorithm effectively removed the EEG artifacts and retained the activity-specific brain signals compared to the PSP-ASR, standard ASR (Init-ASR), and moving-window ASR (MW-ASR) methods, thereby enhancing the SSVEP, RSVP, and MI BCI performances. Finally, our empirical results from the PSW-ASR algorithm suggested the choice of an aggressive cutoff range of c =1-10 for activity-specific BCI applications and a moderat

关键词： Electroencephalography

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Literature Review on Detection of Fatigue State Based on Eye Movement Monitoring

引用

Human Physiology 2024年第3期50卷 260-275页

作者： Shoshina, I.I. Kovalenko, S.D. Kuznetsov, V.V. Brak, I.V. Kashevnik, A.M. Institute of Cognitive Research St. Petersburg State University St. Petersburg Russian Federation National Research University Higher School of Economics Moscow Russian Federation Computer Science and Control Federal Research Center Russian Academy of Sciences Moscow Russian Federation Novosibirsk State University Novosibirsk Russian Federation Privolzhsky Research Medical University Ministry of Health of the Russian Federation Nizhny Novgorod Russian Federation St. Petersburg Federal Research Center Russian Academy of Sciences St. Petersburg Russian Federation

We have reviewed the theoretical framework to detect the functional state of fatigue based on the strategy of eye movements. Also, modern methods for assessing eye movements have been considered. Based on the literature review, it can be concluded that nowadays there is a multitude of quantitative characteristics of eye movements, the dynamics of which can possibly be used to assess the degree of fatigue. However, there are still no established methods of determining the degree of fatigue based on the analysis of eye movement strategy. In this regard, complying with the concepts of static and dynamic vision, a shift from the quantitative characteristics towards the general characteristics of dynamic vision strategy as the evidence of fatigue has been proposed. © Pleiades Publishing, Inc. 2024.

关键词： biometrics eye movement strategies eye movements eye tracking fatigue oculomotor events

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Semantic Feature Division Multiple Access for Digital Semantic Broadcast Channels

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IEEE Internet of Things Journal 2025年第11期12卷 17123-17136页

作者： Ma, Shuai Sun, Zhiye Shen, Bin Wu, Youlong Li, Hang Shi, Guangming Li, Shiyin Al-Dhahir, Naofal Peng Cheng Laboratory Shenzhen518066 China China University of Mining and Technology School of Information and Control Engineering Xuzhou221116 China ShanghaiTech University School of Information Science and Technology Shanghai201210 China Shenzhen Research Institute of Big Data Guangdong Shenzhen518172 China Xidian University School of Artificial Intelligence Shaanxi Xi'an710071 China The University of Texas at Dallas Department of Electrical and Computer Engineering RichardsonTX75080 United States

In this paper, we propose a digital semantic feature division multiple access (SFDMA) paradigm in multi-user broadcast (BC) networks for the inference and the image reconstruction tasks. In this SFDMA scheme, the multi-user semantic information is encoded into discrete approximately orthogonal representations, and the encoded semantic features of multiple users can be simultaneously transmitted in the same time-frequency resource. Specifically, for inference tasks, we design a SFDMA digital BC network based on robust information bottleneck (RIB), which can achieve a tradeoff between inference performance, data compression and multi-user interference. Moreover, for image reconstruction tasks, we develop a SFDMA digital BC network by utilizing a Swin Transformer, which significantly reduces multi-user interference. More importantly, SFDMA can protect the privacy of users' semantic information, in which each receiver can only decode its own semantic information. Furthermore, we establish a relationship between performance and signal to interference plus noise ratio (SINR), which is fitted by an Alpha-Beta-Gamma (ABG) function. Furthermore, an optimal power allocation method is developed for the inference and reconstruction tasks. Extensive simulations verify the effectiveness and superiority of our proposed SFDMA scheme. © 2014 IEEE.

关键词： Image reconstruction

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Managing Data-Intensive research Problem-Solving Lifecycle 22nd

Managing Data-Intensive Research Problem-Solving Lifecycle

引用

22nd International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2020

作者： Skvortsov, Nikolay Stupnikov, Sergey Institute of Informatics Problems Federal Research Center "Computer Science and Control" Russian Academy of Sciences Moscow Russia

ISBN: (纸本)9783030811990

Problem-solving lifecycle providing provable semantic interoperability and correct reuse of data, metadata, domain knowledge, methods, and processes on different levels of consideration is proposed. It includes ontological search, data model integration, schema mapping, entity resolution, method and process reuse, hypothesis testing, and data publishing. Problems are solved according to formal domain knowledge specifications over multiple integrated resources. The semantics of every decision may be formally verified. © 2021, Springer Nature Switzerland AG.

关键词： Ontology

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Self-Timed Storage Register Soft Error Tolerance Improvement∗

Self-Timed Storage Register Soft Error Tolerance Improvement...

引用

2021 IEEE East-West Design and Test Symposium, EWDTS 2021

作者： Stepchenkov, Yury Diachenko, Yury Rogdestvenski, Yury Shikunov, Yury Diachenko, Denis Institute of Informatics Problems Federal Research Center 'Computer Science and Control' of the Russian Academy of Sciences Moscow Russia

ISBN: (纸本)9781665445030

The paper examines the self-timed (ST) pipeline register's tolerance to soft errors in the pipeline stage's combinational part and in itself. It aims to analyze the known storage register bit's circuit cases and improve its soft error tolerance. The use of failure tolerant ST coding, which treats the anti-spacer state as a spacer, increases the ST pipeline's failure tolerance level. Layout techniques of spacing the dual-rail signal component sources at a distance of more than 2 μm from each other reduce the number of failure types in the ST circuits. In particular, switching the dual-rail signal from a correct working state to an inverse one becomes unrealizable. Circuitry techniques, including cross-connections and local feedback, prevent the bit of the ST-pipeline register from sticking in the anti-spacer state and significantly increase the register's insensitivity to single soft errors. The use of a DICE-like C-element with two in-phase outputs instead of a known circuitry solution ensures the immunity of the register bit for soft errors inside it. All proposed techniques improve the ST circuit's soft error tolerance level from 76% to 95%. © 2021 IEEE.

关键词： Pipelines

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