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检索条件"任意字段=11th International Conference on Computer-Aided Design and Computer Graphics"

共 8489 条记录，以下是1581-1590 订阅

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Wireless Aerobic Exercise Monitoring System Based on Multimodal Sensors 11th

Wireless Aerobic Exercise Monitoring System Based on Multimo...

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11th international conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management (DHM) Held as Part of the 22nd international conference on Human-computer Interaction (HCII)

作者： Liu, Xiang-yu Wang, Xing-wei Duan, Hai-qiang Li, Guang-hao Zhou, Mei-yu East China Univ Sci & Technol Sch Art Design & Media Shanghai Peoples R China Fudan Univ Sch Informat Sci & Technol Shanghai Peoples R China

ISBN: (纸本)9783030499037;9783030499044

Wearable human-interactive devices have used in many application scenarios, such as medical, security, and fitness. With the emerging use of wearable sensors, they make it possible that people can monitor their physical data with accurate and reliable information in exercise, thereby ensuring exercise intensity within risk-free and moderate physical pressure. Heart rate was acquired by the photoplethysmography (PPG) module to evaluate Heart-rate recovery (HRR);this index regarded as the effectiveness of the aerobic exercise. Respiration could also be proposed as a marker of training intensity;the authors attempted using the non-invasive method to acquire the respiration rate in order to evaluate the strength of aerobic exercise. Global Position System (GPS) module was used to offer location information during and after sports, so as to provide and to match route information in intensity evaluation. In this study, the authors integrate three main signals (heart rate, respiration, and location information) into a fanny bag based on multimodal sensors and wireless transmission module. Moreover, we construct an online monitoring system for showing the signals during and after the aerobic exercise in order to help the athlete and the amateur to evaluate the intensity of aerobic exercise and the effectiveness of sports, and to improve their sports performance.

关键词： Multimodal-sensors Wearable device Aerobic exercise Human-computer interaction

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Research outcomes from interdisciplinary communication between computer science and academic quality management, at UNED 11

Research outcomes from interdisciplinary communication betwe...

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11th international Multi-conference on Complexity, Informatics and Cybernetics, IMCIC 2020

作者： Matamoros, Ariana-Acon Cotera, Aurora-Trujillo Carrera de Ingeniería Informática-Universidad Estatal A DistanciaUNED San José San José Costa Rica10100 Costa Rica Instituto de Gestion de la Calidad Academica-Universidad Estatal A DistanciaUNED San Jose San José Costa Rica10100 Costa Rica

ISBN: (纸本)9781950492329

this paper describe the rigor in the research process and theresults obtained of the interdisciplinary communication requiredand generated between the computer Engineering Career andthe the academic quality management at the Distance StateUniversity (UNED), of Costa ***, the two acting parties have joint projects such as;meta-evaluation, definition of requirements for informationsystems, training in quality management issues to externalentities, advice, research, among *** objective of this research is to describe the outcomes fromthe interdisciplinary communication between the computerScience Engineering and the academic quality management ofthe UNED, with the purpose of systematizing the *** findings have been found in relation to difficultiesrelating people from different disciplines and how they wereresolved, and also the strategies used to overcomecommunication difficulties between people from differentfields, and the favorable and unfavorable results of ***, managing with quality in universities, more and morecomplexity is being incorporated due to the influence ofscientific advances, minimum quality indicators that lead tonew emerging processes and greater development ofinformation technologies, without setting aside the socioeconomic and market requirements context. As a result, thereare a greater number of disciplines that interrelate within thefield of design action especially in the conceptual and *** new situation has fostered prescriptive approaches in daily"doing", increasingly generating a need for interrelationship ofpeople and their knowledge that is strengthened throughempathy and creativity, contributing the production ofknowledge, methodologies, techniques and tools that ultimatelyfacilitate effectiveness in the final *** findings havebeen found with regard to difficultiesrelating to people from different disciplines and how they wereresolved. Copyright 2020. © by

关键词： Quality management

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computer-aided Selection of the Optimal Gamma Correction Parameter for Image Enhancement in Video Analytics Systems

Computer-aided Selection of the Optimal Gamma Correction Par...

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IEEE international Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications

作者： Oleksandr Golovin V. M. Glushkov Institute of Cybernetics of the NAS of Ukraine Kyiv Ukraine

ISBN: (纸本)9781665426060

Video analytics systems are rapidly evolving, and the effectiveness of their work depends on the quality of operations at the initial level of the entire processing process, namely the quality of segmentation of objects in the scene and their recognition. Successful performance of these procedures is primarily due to image quality, which depends on many factors: technical parameters of video sensors, low or uneven lighting, changes in lighting levels of the scene due to weather conditions, time changes in illumination, or changes in scenarios in the scene. A novel method for determining the optimal value of a gamma correction parameter, which ensures the selection of the image of the best quality in automatic mode is represented in the paper. the method is based on the use of gamma correction, which reflects properties of a human visual system, effectively reduces the negative impact of changes in scene illumination and due to simple adjustment and effective implementation is widely used in practice. the technique of selection in an automatic mode of the optimum value of the gamma parameter at which the corrected image reaches the maximum quality is developed.

关键词： Image quality Image sensors Histograms Image segmentation Visual analytics Video sequences Lighting

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11th international conference on Ambient Systems, Networks and Technologies, ANT 2020 / 3rd international conference on Emerging Data and Industry 4.0, EDI40 2020 / Affiliated Workshops

11th International Conference on Ambient Systems, Networks a...

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11th international conference on Ambient Systems, Networks and Technologies, ANT 2020 / 3rd international conference on Emerging Data and Industry 4.0, EDI40 2020 / Affiliated Workshops

the proceedings contain 169 papers. the topics discussed include: impact of the geometric field of view on drivers' speed perception and lateral position in driving simulators;analysis and processing of environmental monitoring system;on using physical based intrusion detection in SCADA systems;modern approach to design a distributed and scalable platform architecture for smart cities complex events data collection;fuzzy similarities for road environment-type detection by a connected vehicle from traffic sign probabilistic data;activity recognition in the city using embedded systems and anonymous sensors;forecasting risk of diseases in Kazakhstan with using mapping technique based on 9 years statistics;understanding the relation between distance and train station choice behavior of cyclists in the western region of the Netherlands;door-to-door transit accessibility using Pareto optimal range queries;using neural nets to predict transportation mode choice: an Amsterdam case study;and a model of second-degree virtual cut nodes applied to complex networks in ecological landscape.

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On the role of graph theory apparatus in a cad modeling kernel 30

On the role of graph theory apparatus in a cad modeling kern...

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30th international conference on computer graphics and Machine Vision, GraphiCon 2020

作者： Slyadnev, Sergey Malyshev, Alexander Voevodin, Andrey Turlapov, Vadim OPEN CASCADE Nizhny Novgorod Russia Lobachevsky State University of Nizhny Novgorod Nizhny Novgorod Russia

this paper summarizes the experience of authors in solving a broad range of CAD modeling problems where the formalism of graph theory demonstrates its expressive power. Some results reported in this paper have never been published elsewhere. the set of topological and geometric heuristics backing the subgraph isomorphism algorithm is presented to achieve decent performance in our extensible feature recognition framework. By the example of sheet metal features, we show that using wise topological and geometric heuristics speeds up the search process up to interactive performance rates. For detecting CAD part's type, we present the connected components' analysis in the attributed adjacency graph. Our approach allows for identifying two-sided CAD parts, such as sheet metals, tubes, and flat plates. We use the notion of face transition graph for the unfoldability analysis. the basic operations on hierarchical assembly graphs are formalized in terms of graph theory for handling CAD assemblies. We describe instance singling operation that allows for addressing unique part's occurrences in the component tree of an assembly. the presented algorithms and ideas demonstrated their efficiency and accuracy in the bunch of industrial applications developed by our team. © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 international (CC BY 4.0).

关键词： computer aided design

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11th international conference on Mobile Computing, Applications, and Services, MobiCASE 2020

11th International Conference on Mobile Computing, Applicati...

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11th international conference on Mobile Computing, Applications, and Services, MobiCASE 2020

ISBN: (纸本)9783030642136

the proceedings contain 15 papers. the special focus in this conference is on Mobile Computing, Applications, and Services. the topics include: design of a Security Service Orchestration Framework for NFV;an Optimization of Memory Usage Based on the Android Low Memory Management Mechanisms;approximate Sub-graph Matching over Knowledge Graph;Detection and Segmentation of Graphical Elements on GUIs for Mobile Apps Based on Deep Learning;inception Model of Convolutional Auto-encoder for Image Denoising;Research on Text Sentiment Analysis Based on Attention C_MGU;an Improved Spectral Clustering Algorithm Using Fast Dynamic Time Warping for Power Load Curve Analysis;bullyAlert- A Mobile Application for Adaptive Cyberbullying Detection;metamorphic Testing for Plant Identification Mobile Applications Based on Test Contexts;preface;key Location Discovery of Underground Personnel Trajectory Based on Edge Computing;safe Navigation by Vibrations on a Context-Aware and Location-Based Smartphone and Bracelet Using IoT;Evaluating the Effectiveness of Inhaler Use Among COPD Patients via Recording and Processing Cough and Breath Sounds from Smartphones.

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Research and application of personalized learning system based on knowledge map 2

Research and application of personalized learning system bas...

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2nd international conference on computer Science and Educational Informatization, CSEI 2020

作者： Yang, Zhijun Lei, Ning Wang, Yang Lv, Cuilian College of Computer Science and Technology Yunnan Normal University Kunming China College of Vocational and Continuing Education Yunnan University Kunming China

ISBN: (纸本)9781728170077

At present, there are many online practice and examination platforms, but the design and organization of the questions are relatively simple, and the results of the feedback to the students' practice are relatively simple. In order to enable learners to carry out personalized learning more pertinently and improve the learning efficiency of learners, combining with the research status of personalized learning system of knowledge map at home and abroad, this study proposes to apply knowledge map to the learning system, analyze students' problem-solving situation as a whole, find out students' weak knowledge points and mark it in the original subject knowledge map and push the students' weak knowledge points resource, and a teaching application mode based on knowledge map for personalized learning system is proposed. © 2020 IEEE.

关键词： Students

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Co-designing Data Experiments 11

Co-designing Data Experiments

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11th Nordic conference on Human-computer Interaction: Shaping Experiences, Shaping Society, NordiCHI 2020

作者： Seidelin, Cathrine Dittrich, Yvonne Grönvall, Erik It University of Copenhagen Copenhagen Denmark

ISBN: (纸本)9781450375795

Today, organizations have to deal with multiple heterogeneous data sources from different systems and platforms to maintain and develop their services. therefore, there is a need for tools to support organizations to determine what data sources can advance and innovate their services. this paper reports on how we addressed this need by designing and implementing two design tools - the Data Sphere and the Data Experiment Template - to support domain experts' exploration with different data sources which they selected themselves. We find that (1) domain experts' exploration of data sources make the cross-organizational dependency of data and data work visible;(2) the value of co-design becomes evident to address this dependency;and by that, (3) the data became 'design things', that means data are object of design that at the same time create a space for members of the organization to together explore how to use data to innovate their services. © 2020 ACM.

关键词： computer programming

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Concept, Method and Application of Computational BIM 4th

Concept, Method and Application of Computational BIM

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4th international conference on Intelligent, Interactive Systems and Applications, IISA2019

作者： Wei, Lushuang Liu, Shangwei Wei, Qun Wang, Ying North China University of Water Resources and Electric Power Zhengzhou China University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783030343866

Dynamo which is developed based on the basic concept of visual programming has become a platform mainly used in AEC of construction industry. Dynamo has three prominent features: (1) with internal architecture completely independent of any software platform, Dynamo has independent graphics engine nodes, and through node parameterization, it can make general geometric modeling, edit and extend line, surface, shape and entity;(2) Dynamo has an independent, full-featured calculation engine which can process many conventional mathematical operations and logic decisions, and the flexible input and output can export and store data visually;(3) Dynamo’s open source code provides convenience for users to develop and compile. Developers, according to their different needs, can import python or other languages into Dynamo to extend it into a more professional and powerful software system. Combined with practical engineering applications, this paper uses Dynamo’s enormous computing power and BIM’s visualization, coordination, simulation, optimization and drawing to solve problems in engineering design. the emergence of Dynamo has pushed BIM into a new stage of integrated calculation & programming and graphics generation. © 2020, Springer Nature Switzerland AG.

关键词： computer aided design

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Expertise Classification using Functional Brain Networks and Normalized Transfer Entropy of EEG in design Applications 2019

Expertise Classification using Functional Brain Networks and...

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11th international conference on computer and Automation Engineering (ICCAE)

作者： Baig, Muhammad Zeeshan Kavakli, Manolya Macquarie Univ Dept Comp Sydney NSW 2019 Australia

ISBN: (纸本)9781450362870

Expertise prediction is a challenging tasks for the development of state-of-the-art next generation computer-aided design (CAD) system. To develop an adaptive system that can accommodate the lack of expertise, the system needs to classify the expertise level. In this paper, we have presented a method to estimate the cognitive activity of the novice and expert user in the 3D modelling environment. the method has the capability of predicting novice and expert users. Normalized Transfer Entropy (NTE) of Electroencephalography (EEG) was used as a connectivity measure to calculate the information flow between the EEG electrodes. Functional brain networks (FBNs) were created from the NTE matrix and graph theory was used to analyze the complex network. the results from graph theory-based measures showed that there were significant differences between novice and expert user's information flow patterns. the results showed that a classification accuracy of above 90% was achieved with a simple k-NN classifier and 5 features. From the feature selection method, we found that the most important EEG electrodes that contribute maximum towards classification were the frontal lobe electrodes. the classification results show that the proposed algorithm can effectively predict the novice and expert users in real-time.

关键词： Electroencephalography

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