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检索条件"任意字段=23rd International Conference on Control Systems and Computer Science Technologies, CSCS 2021"

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Creation of a software and hardware product of a real-time system for collecting, accounting and managing data transmission of an intelligent transport system in context of the IoT 3

Creation of a software and hardware product of a real-time s...

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3rd international Scientific conference on Applied Physics, Information technologies and Engineering, APITECH-III 2021

作者： Zolkin, A.L. Munister, V.D. Lavrov, E.A. Aygumov, K.G. Saradzheva, O.V. Computer and Information Sciences Department Povolzhskiy State University of Telecommunications and Informatics 23 L.Tolstogo Street Samara443010 Russia Department of Mathematical Methods and Computer-Aided Design Private Educational Institution Donetsk Academy of Transport 7 Dzerzhinsky Street Donetsk83086 Ukraine Department of Enterprise Economics State Educational Institution of Higher Professional Education Donetsk National Technical University 2 Shibankova Street Donetsk region Pokrovsk85300 Ukraine Computer Science Department Sumy State University 2 Rymskogo-Korsakova Street Sumy40007 Ukraine FSBEI HE «Dagestan State Technical University» 70 I. Shamyl Ave. Makhachkala367030 Russia Economic Security Controlling and Audit Department Russian State University named after A.N. Kosygin 33 Sadovnicheskaya Street Moscow115035 Russia

Some aspects of the functioning of modern microcontrollers of the Internet of Things in conditions that are close to real-time systems are reviewed in the article. Attention is paid to the aspects of the theory of physical data transmission, the significance of the delay metrics in the data transmission path is substantiated and emphasized. These delays (in view of the generalization of measurement results) determine the control accuracy and controllability of the data processing system as a whole, and also affect the reliability of the results. The process of formalization of the architectural template of a data collecting and accounting system for a control device (which is widespread in intelligent transport systems and the Internet of things) is described. The practical application of the approach in synchronous control through the implementation of a web interface and a control language in a microprocessor system (which can be possible at low traffic transmission rates) is substantiated. In conclusion, a generalization of the scope of application of the developed specialized computer system in transport field is given. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Real time systems

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Synthesizing fundus photographies for training segmentation networks 2

Synthesizing fundus photographies for training segmentation ...

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2nd international conference on Deep Learning Theory and Applications, DeLTA 2021

作者： Magnusson, Jannes S. Afifi, Ahmed J. Zhang, Shengjia Ley, Andreas Hellwich, Olaf Institute of Computer-assisted Cardiovascular Medicine Charité-Universitätsmedizin Berlin Augustenburger Platz 1 Berlin13353 Germany Computer Vision and Remote Sensing Technische Universität Berlin Marchstr. 23 Berlin10587 Germany Shanghai Key Laboratory of Digital Media Processing and Transmission Shanghai Jiao Tong University 800 Dongchuan Rd. Minhang District Shanghai China

ISBN: (纸本)9789897585265

Automated semantic segmentation of medical imagery is a vital application using modern Deep Learning methods as they can support clinicians in their decision-making processes. However, training these models requires a large amount of training data which can be especially hard to obtain in the medical field due to ethical and data protection regulations. In this paper, we present a novel method to synthesize realistic retinal fundus images. The process mainly includes the vessel tree generation and synthesis of non-vascular regions (retinal background, fovea, and optic disc). We show that combining the (virtually) unlimited synthetic data with the limited real data during training boosts segmentation performance beyond what can be achieved with real data alone. We test the performance of the proposed method on the DRIVE and STARE databases. The results highlight that the proposed data augmentation technique achieves state-of-the-art performance and accuracy. Copyright © 2021 by SCITEPRESS - science and Technology Publications, Lda. All rights reserved

关键词： Semantic Segmentation

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Public Opinion Dynamics in Online Discussions: Cumulative Commenting and Micro-level Spirals of Silence 13th

Public Opinion Dynamics in Online Discussions: Cumulative Co...

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13th international conference on Social Computing and Social Media (SCSM) part of the 23rd international conference on Human-computer Interaction (HCI)

作者： Bodrunova, Svetlana S. Blekanov, Ivan S. Maksimov, Alexey St Petersburg State Univ Sch Journalism & Mass Commun 7-9 Univ Skaya Nab St Petersburg 199004 Russia St Petersburg State Univ Fac Appl Math & Control Proc 7-9 Univ Skaya Nab St Petersburg 199004 Russia

ISBN: (纸本)9783030776251;9783030776268

Objectives: Social media have become a place where the bulk of grassroots political discussion takes place. Today, the growing body of research is dedicated to cumulative patterns on online deliberation, the predecessors of which were the concept of the spiral of silence, the silent majority hypothesis, and influencer studies. However, when applied to the dissonant, disruptive, and discontinued online discussions of today where gatewatching is much less predictable and cumulation of support is often accompanied by communicative aggression, these concepts need to be reconsidered and re-tested. Also, the current public communication online is much more multi-level than before;even within one platform, several communication layers may be defined, and their inter-relations in terms of public opinion aggregation remain under-studied. Research goal. This paper aims at discovering patterns of cumulative deliberation in online communication. We first discuss the umbrella concept of cumulative deliberation. Then, we test the dynamics of the discussion on Belarusian oppositional YouTube in terms of impact of cross-account commenting on growth of commenting within the cross-account community and the overall discussion. Method and sampling. We have collected the data by YouTube crawling. The data include all user comments of 2018 for six salient Belarusian oppositional accounts. To define the cross-account commenters, we used Gephi-based web graph reconstruction. We manually coded user posts for interactivity, aggression, and criticism. Dependencies in the dynamics of the discussion were tested by correlational and cluster analysis. Results. We have discovered that users diverged into two mutually exclusive modes of expression, namely aggressive-dialogical and (self-)critical. Of the cross-account commenters, several users demonstrated 'cumulative' behavior and personal opinion bubbles. While there were nearly no dependencies discovered in the dynamics of user posting, criticis

关键词： Communication Networked discussions Deliberation Cumulative deliberation Granger test Belarus YouTube Political protest

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23rd international conference on Information technologies and Mathematical Modelling, ITMM 2024

23rd International Conference on Information Technologies an...

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23rd international conference on Information technologies and Mathematical Modelling, ITMM 2024

ISBN: (纸本)9783031883064

The proceedings contain 26 papers. The special focus in this conference is on Information technologies and Mathematical Modelling. The topics include: A Power-Law Adjustable Coefficient Dynamic Pricing Model Considering Shortages and Leftovers;inferences of Modularity for Graphs Evolved by the Clustering Attachment Model;queueing Model with Correlated Arrival Process, Simultaneous Service of a Finite Number of Customers, and Pre-processing, Post-processing and Co-processing of Customers;reliability Analysis of a k-out-of-n System with External Service and Non-preemptive Priority Under N-Policy with Multiple Server Vacations;On Recursive Marginal and MAP Inference in State Observation Models;asymptotic Analysis of Sojourn Time in Retrial Queueing System with Non-persistent Customers and Feedback;implementation of a Convolution Algorithm to the Evaluation of Stationary Characteristics of Resource Loss System with Resource-Dependent Service Times;Diffusion Approximation for the MAP/GI/1 Retrial Queue with Two-Way Communication;investigation of M/G/1//N System with Impatient Customers, Unreliable Primary and a Backup Server;g-Network with Rewards as a Cluster System Model;on Application of Karamata Slowly Varying Functions in the Theory of Noncritical Markov Branching systems;asymptotic Analysis of a Multiserver Retrial Queue with Disasters;analysis of a Batch Arrival Queue with Power Saving Mode;lumping and Numerical Analysis for Multi-Server Job Model;unloading Time Martingale Relations in a Cyclic Queueing System in Random Environment;on Estimation of Some Functional of the Distribution Function for Dependent Incomplete Observations in Queuing Theory;analysis of a Queueing System Providing Service to Regular and Ad Hoc Clients;modeling and Analysis of Cyclic control of Periodic Conflict Flows;statistical Testing for Long-Range Dependence in the Workload of a Single-Server Queue;optimizing IoT Network Performance and Security: The Role of Queuing Theory, Stochastic Pr

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Locating High-loss Links for OpenFlow Networks by Multiple Hosts to Probe Packets 23

Locating High-loss Links for OpenFlow Networks by Multiple H...

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23rd international conference on Advanced Communication Technology, ICACT 2021

作者： Tri, Nguyen Minh Shibata, Masahiro Tsuru, Masato Kawaguchi, Akira School of Computer Science and Systems Engineering Kyushu Institute of Technology Japan City College of New York of the City University of New York United States

ISBN: (纸本)9791188428069

We previously proposed a measurement framework for OpenFlow-based networks to promptly locate high-loss links with a small load incurred by the measurement on both the data-plane (e.g., the number of transmissions of probe packets on each link) and the control-plane (e.g., the number of accesses to switches) until locating all high-loss links. One of key components is the multicast measurement route of probe packets traversing all links in both directions. However, the previously proposed Eulerian cycle-based measurement route scheme called the backbone-and-branch tree (BBT) that uses only a single measurement host (MH) may build a too long measurement path in a large network, resulting in a low measurement accuracy and an intolerance to very high-loss, e.g., failure, links located in upstream of a measurement path. Therefore, in this paper, we newly propose an enhancement of the BBT with multiple MHs, called BBT-mMH, which can control the measurement path lengths to maintain an acceptable measurement accuracy with a small overhead on both the control-plane and data-plane. The numerical simulation demonstrates potential benefits of our proposal. © 2021 Global IT Research Institute (GiRI).

关键词： Packet networks

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Bi-Bimodal Modality Fusion for Correlation-controlled Multimodal Sentiment Analysis 21

Bi-Bimodal Modality Fusion for Correlation-Controlled Multim...

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23rd ACM international conference on Multimodal Interaction, ICMI 2021

作者： Han, Wei Chen, Hui Gelbukh, Alexander Zadeh, Amir Morency, Louis-Philippe Poria, Soujanya Information Systems Technology and Design Singapore University of Technology and Design Singapore Centro de Investigación en Computación Instituto Politécnico Nacional Mexico City Mexico Language Technologies Institute Carnegie Mellon University PittsburghPA United States

ISBN: (纸本)9781450384810

Multimodal sentiment analysis aims to extract and integrate semantic information collected from multiple modalities to recognize the expressed emotions and sentiment in multimodal data. This research area's major concern lies in developing an extraordinary fusion scheme that can extract and integrate key information from various modalities. However, previous work is restricted by the lack of leveraging dynamics of independence and correlation between modalities to reach top performance. To mitigate this, we propose the Bi-Bimodal Fusion Network (BBFN), a novel end-to-end network that performs fusion (relevance increment) and separation (difference increment) on pairwise modality representations. The two parts are trained simultaneously such that the combat between them is simulated. The model takes two bimodal pairs as input due to the known information imbalance among modalities. In addition, we leverage a gated control mechanism in the Transformer architecture to further improve the final output. Experimental results on three datasets (CMU-MOSI, CMU-MOSEI, and UR-FUNNY) verifies that our model significantly outperforms the SOTA. The implementation of this work is available at https://***/declare-lab/multimodal-deep-learning and https://***/declare-lab/BBFN. © 2021 ACM.

关键词： Sentiment analysis

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Virtual control Interface: A System for Exploring AR and IoT Multimodal Interactions Within a Simulated Virtual Environment 23rd

Virtual Control Interface: A System for Exploring AR and Io...

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23rd international conference on Human-computer Interaction, HCII 2021

作者： Xu, Zezhen Yao, Powen Lympouridis, Vangelis USC Viterbi School of Engineering Los AngelesCA90089 United States

ISBN: (纸本)9783030786410

This paper discusses the development of Virtual control Interface (VCI), a Virtual Reality (VR) system for simulating and exploring multimodal context-sensitive interactions between Augmented Reality (AR) glasses and Internet of Things (IoT) devices. Current trends in controlling IoT devices focus on using existing control interfaces such as smartphones. Parallel technological trends indicate that AR glasses are likely to become the next consumer terminal. Therefore, there is a need to explore a new paradigm for IoT control interfaces that leverages the benefits of AR. Towards developing future-proof AR-IoT interfaces, we observed the HCI community’s challenges in using existing hardware to explore the full potential and the limitations of future AR-IoT interfaces. That became the foundation for developing VCI. This paper provides an overview of the advantages and shortcomings of developing such interfaces on smartphones, state-of-the-art AR/Mixed Reality (MR) glasses, and our proposed VR simulated AR environment. This overview outlines how our proposed system could be a superior choice for researchers to investigate, challenge assumptions, prototype, develop, and experimentally test AR-IoT interactions and interfaces with currently available technologies. Furthermore, we present the three pillars we followed to guide the design and development of VCI to make it resemble an actual AR-IoT framework as much as possible while abstracting parts that have little to no effect on AR-IoT HCI research. These pillars are: design transferable architecture, use viable multimodal interactions and explore user interfaces in real-life scenarios. These three principles informed the VCI’s system architecture built upon three main subsystems: handling multi-modal user input, IoT device emulation and connectivity, and managing the AR user interface (UI). Finally, we provide a heuristic evaluation and future work for VCI. © 2021, Springer Nature Switzerland AG.

关键词： Augmented reality

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M2H2: A Multimodal Multiparty Hindi Dataset for Humor Recognition in Conversations 21

M2H2: A Multimodal Multiparty Hindi Dataset for Humor Recogn...

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23rd ACM international conference on Multimodal Interaction, ICMI 2021

作者： Chauhan, Dushyant Singh Singh, Gopendra Vikram Majumder, Navonil Zadeh, Amir Ekbal, Asif Bhattacharyya, Pushpak Morency, Louis-Philippe Poria, Soujanya Department of Computer Science and Engineering Indian Institute of Technology Patna India Language Technologies Institute Carnegie Mellon University Pittsburgh United States Istd Singapore University of Technology and Design Singapore

ISBN: (纸本)9781450384810

Humor recognition in conversations is a challenging task that has recently gained popularity due to its importance in dialogue understanding, including in multimodal settings (i.e., text, acoustics, and visual). The few existing datasets for humor are mostly in English. However, due to the tremendous growth in multilingual content, there is a great demand to build models and systems that support multilingual information access. To this end, we propose a dataset for Multimodal Multiparty Hindi Humor (M2H2) recognition in conversations containing 6,191 utterances from 13 episodes of a very popular TV series "Shrimaan Shrimati Phir Se". Each utterance is annotated with humor/non-humor labels and encompasses acoustic, visual, and textual modalities. We propose several strong multimodal baselines and show the importance of contextual and multimodal information for humor recognition in conversations. The empirical results on M2H2 dataset demonstrate that multimodal information complements unimodal information for humor recognition. The dataset and the baselines are available at http://***/∼ai-nlp-ml/*** and https://***/declare-lab/M2H2-dataset. © 2021 ACM.

关键词： Deep learning

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A Causal Model of Intersection-Related Collisions for Drivers With and Without Visual Field Loss 23rd

A Causal Model of Intersection-Related Collisions for Driver...

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23rd international conference on Human-computer Interaction , HCII 2021

作者： Biebl, Bianca Kacianka, Severin Unni, Anirudh Trende, Alexander Rieger, Jochem W. Lüdtke, Andreas Pretschner, Alexander Bengler, Klaus Chair of Ergonomics Technical University of Munich Boltzmannstraße 15 Garching85747 Germany Chair for Software and Systems Engineering Technical University of Munich Boltzmannstraße 3 Garching85747 Germany Department of Psychology University of Oldenburg Ammerländer Heerstraße 114-118 Oldenburg26129 Germany OFFIS – Institute for Information Technology Escherweg 2 Oldenburg26121 Germany

ISBN: (纸本)9783030909659

Causal models allow us to reconstruct traffic accidents, predict the likelihood of future accidents and implement counter measures to prevent them. For drivers with impairments like visual field loss, naturalistic data on crash causes is however scarce due to their current prohibition to drive. This paper presents an approach to deriving a causal model for the prediction of crash risks for current non-drivers. The applied use case focuses on a collision with an overlooked crossing vehicle in an intersection. Based on the combination of crash analyses for normal sighted drivers and models of information processing and human errors, a general structural causal model for crash risks in this use case was developed. The application of this model to drivers with visual field loss on the side of the approaching vehicle revealed four causal factors with an increased risk of occurring: faulty anticipation of location and timing of hazards;inadequate guidance of gaze movements;adverse scanning patterns;and cognitive overload. These elevated crash risks can guide the development of assistive technologies for drivers with visual impairments in the future. © 2021, Springer Nature Switzerland AG.

关键词： Digital storage

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Analysis of Effect of RSVP Speller BCI Paradigm Along with CNN to Analysis P300 Signals 15th

Analysis of Effect of RSVP Speller BCI Paradigm Along with C...

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15th international conference on Augmented Cognition (AC) Held as Part of the 23rd international conference on Human-computer Interaction (HCII)

作者： Uma, M. Prabhu, S. Subramaniyam, Murali Min, Seung Nam SRM Inst Sci & Technol Potheri Dept Software Engn Kattankulathur 603203 Tamilnadu India SRM Inst Sci & Technol Potheri Dept Mech Engn Kattankulathur 603203 Tamilnadu India Shinsung Univ Dept Drone & Ind Safety Engn Dangjin South Korea

ISBN: (纸本)9783030781132;9783030781149

People suffering from neurological disorders, including spinal cord injury (S.C.I.), stroke, Parkinson's disease may be severely paralyzed and incapable of performing any motor functions. However, they may still have some cognitive abilities, and that can be accessed through brain-computer interaction (BCI). Electroencephalography (E.E.G.) pattern classification is attractive for many researchers in the field of BCI. P300 may be a style of ERP signal which is employed by the BCI system. P300, well known as a prominent component of event-related potential (ERP) from E.E.G. signal. It's also elicited in an oddball paradigm. In some cases, patients get completely locked in until losing control of their ocular movements. Researchers have shifted toward the BCI system because of these people, which will work without the eye movement. Hence the proposed approach is attempting to implement the BCI system without using oculomotor movements. The traditional methods/algorithms such as the hidden Markov model, support vector machine (SVM), and Linear discriminant analysis (LDA) may not perform well for cross-subject variations with extreme variations. Hence, in recent years, deep neural networks, particularly the conventional neural networks (CNN) widely used, have shown high performance compared to the traditional approach for various applications. CNN can extract data from raw data as well as give us unknown information about the data. Most of the research work related to P300 and various speller system involved the gaze of the subject. However, these systems are not suitable for the patient having problems in oculomotor control. The proposed convolution neural network (CNN) has been used for high-level feature extraction and improves the performance of P300 classification to predict target and non-target character. Along with CNN to analyze P300 signals, this study used gaze independent BCI speller paradigm called rapid serial visual presentation (RSVP). We have selected/fo

关键词： Brain-computer interface (BCI) Rapid serial visual presentation (RSVP) Convolutional neural network (CNN) Electroencephalograph (EEG)

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