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

共 8486 条记录，以下是1541-1550 订阅

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Analysis of student achievement scores via cluster analysis 11th

Analysis of student achievement scores via cluster analysis

引用

11th international conference on EUropean Transnational Education, ICEUTE 2020

作者： Chaves, Viviana E. Jiménez García-Torres, Miguel Alonso, David Becerra Gómez-Vela, Francisco Divina, Federico Vázquez-Noguera, José L. Division of Computer Science Universidad Pablo de Olavide Seville41013 Spain Universidad Loyola Andalucía Seville Spain Universidad Americana Asunción Paraguay

ISBN: (纸本)9783030577988

In education, the overall performance of every student is an important issue when assessing the quality of teaching. However, in the traditional educational system not all students have the same opportunity to develop their academic skills in an efficient way. Different teaching techniques have been proposed to adapt the learning process to the student profile. In this work, we analyze the profile of students according to their performance on academic activities and taking into account two different evaluation systems: work-based assessment and knowledge-based assessment. To this aim, data was collected during the fall semester of 2019 from a physics course at Universidad Loyola Andalucía, in Seville, Spain. In order to study the student profiles, a clustering approach combined with supervised feature selection was applied. Results suggest that two student profiles are clearly distinguished according to their performance in the course in both evaluation approaches. these two profiles correspond to students that pass and fail the course. the output of the analysis also indicates that there are redundant and/or irrelevant features. therefore, machine learning techniques may be helpful for the design of effective activities to enhance the student learning process in this physics course. © the Editor(s) (if applicable) and the Author(s), under exclusive license to Springer Nature Switzerland AG 2021.

关键词： Students

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EduBlock: Securing Educational Documents using Blockchain Technology 11

EduBlock: Securing Educational Documents using Blockchain Te...

引用

11th international conference on Computing, Communication and Networking Technologies, ICCCNT 2020

作者： Haveri, Pavitra Rashmi, U.B. Narayan, D.G. Nagaratna, K. Shivaraj, K. School of Computer Science Engineering KLE Technological University Hubballi India

ISBN: (纸本)9781728168517

Bitcoin and Cryptocurrencies are the most popular and the earliest applications of Blockchain. A Blockchain is a public ledger that is distributed and decentralized and it is used to carry out transactions online across the entire network of computer systems. It is a recent technology adopted for data security. the non-modifiable property of the blockchain helps to overcome the problem of document forgery. According to researches, about one million students graduate each year and the document issuing authorities have seemed to be compromised for the security credentials of student data. Due to a lack of effective anti-forge mechanism, forged documents often get unnoticed. the use of physical copies of documents creates a huge overhead as it involves manual verification, paper storage, and manual auditing. Various agencies fail to verify the authenticity of the documents and create loopholes. In this paper, in an attempt to solve the above problem, we design a multi-node private blockchain network using the Ethereum framework and create an off-chain storage i.e. private Interplanetary File System (IPFS) to store the documents. We also evaluate the performance of Ethereum blockchain by analysing the impact of various parameters such as varying difficulty level, load, network size, and consensus algorithms. © 2020 IEEE.

关键词： Blockchain

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Distributed learning automata-based algorithm for finding K-Clique in complex social networks 11

Distributed learning automata-based algorithm for finding K-...

引用

11th international conference on Information and Knowledge Technology, IKT 2020

作者： Khomami, Mohammad Mehdi Daliri Rezvanian, Alireza Saghiri, Ali Mohammad Meybodi, Mohammad Reza Amirkabir University of Technology Department of Computer Engineering Tehran Iran University of Science and Culture Department of Computer Engineering Tehran Iran

ISBN: (纸本)9781665404419

Maximal clique finding is a fundamental problem in graph theory and has been broadly investigated. However, maximal clique finding is time-consuming due to its nature and always returns tremendous cliques with large overlap nodes. Hence, a solution uses the relaxed version of the clique called k-clique, which follows up the subset of vertices with size k such that each pair in this subset has an edge. the k-clique problem has several applications in different domains, such as motif detection, finding anomalies in large graphs, and community structure discovery. In this paper, an algorithm based on learning automata is proposed for finding k-clique called (KC-LA) to apply communities in complex social networks. In (KC-LA), a network of learning automata is considering to the underlying networks. then, select the proper action from a set of allowable actions, the reward and penalty guide KC-LA to detect the k-clique. Also, we applied the k-clique in the concept of finding communities in complex social networks. the KC-LA algorithm is to design some breakthroughs on the real and synthetic graphs in terms of high efficiency and effectiveness. © 2020 IEEE.

关键词： Graph theory

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A design Framework to Automate Task Simulation and Ergonomic Analysis in Digital Human Modeling 11th

A Design Framework to Automate Task Simulation and Ergonomic...

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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： Gawand, Mihir Sunil Demirel, H. Onan Oregon State Univ Corvallis OR 97331 USA

ISBN: (纸本)9783030499037;9783030499044

Using Digital human modeling (DHM) early in design brings the advantage of reducing the time and resources committed to building full-scale physical prototypes. DHM also helps in minimizing efforts put on performing human subject data collection. However, majority of the repetitive two- and three-dimensional (2D/3D) object orientations and manikin adjustments in DHM are executed manually via point-and-click based keystrokes and precision mouse control, which correspond with increased user effort and time. Additionally, such manual adjustments often fail to mimic the actual postures with high fidelity;thus, injecting further user bias into the design. Due to lack of automation, engineers follow a much conservative approach via running a limited set of ergonomics simulations on select values in contrast to performing an exhaustive search for exploring an extensive set of anthropometry and postural variations. this study introduces an early design framework to automate manikin setup, task simulation, and ergonomic evaluations in DHM to provide concept design exploration capabilities. In this research work, a cockpit packaging design problem was explored to measure the reach gap values via the automation framework. Results suggest that the automation methodology has the potential to reduce the amount of time required to perform DHM simulations and helps in minimizing user bias. the automation framework generated ergonomic evaluations with high correlation values (>0.97) and provided approximately a 97.5% reduction in time when compared to manual simulations.

关键词： Digital human modeling Ergonomics Human factors

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A Study on Realtime Task Selection Based on Credit Information Updating in Evolutionary Multitasking 11th

A Study on Realtime Task Selection Based on Credit Informati...

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11th international conference on Evolutionary Multi-Criterion Optimization, EMO 2021

作者： Cao, Yumeng Hou, Yaqing Feng, Liang Ge, Hongwei Zhang, Qiang Wei, Xiaopeng School of Computer Science and Technology Dalian University of Technology Dalian116024 China College of Computer Science Chongqing University Chongqing400000 China

ISBN: (纸本)9783030720612

Recently, evolutionary multi-tasking (EMT) has been proposed as a new search paradigm for optimizing multiple problems simultaneously. Since the beneficial knowledge can be transferred among tasks to speed up the optimization process, EMT shows better performance in many problems compared with single-task evolutionary search algorithms. Notably, existing works on EMT have been devoted to the evolutionary search with two tasks. However, when multiple tasks (i.e., number of tasks >2) are involved, the existing methods might fail as it is necessary to decide which is the most suitable task to be selected for performing the knowledge transfer. To address this issue, we propose an online credit information based task selection algorithm to enhance the performance of EMT. Specifically, a credit matrix is introduced to express the transfer qualities among tasks. then, we design two kinds of credit information and propose an updating mechanism to adjust the credit matrix online. After that, a greedy task selection mechanism is proposed for balancing the exploration and exploitation of the task selection process. Besides, we also propose an adaptive transfer rate to enhance positive transfer while reduce the impact of negative transfer. In the experiment, we compare our method with the existing works. the results clearly demonstrate the efficacy of the proposed method. © 2021, Springer Nature Switzerland AG.

关键词： Multitasking

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Real-time Multi Pose Trajectory Tracking based on OpenPose Keypoints

Real-time Multi Pose Trajectory Tracking based on OpenPose K...

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

作者： Adam Surówka Faculty of Electrical and Computer Engineering Cracow University of Technology Kraków PL

ISBN: (纸本)9781665426060

Currently, there exist several open-source computer vision libraries designed for human pose estimation from photos and videos. they are mainly focused on the possibility of detecting individuals in the image and returning their skeleton determinants. An often overlooked or underdeveloped functionality is tracking the trajectory of the detected people, which presents a serious problem in the process of design automated video surveillance systems. In this work, the author attempts to develop an algorithm for tracking multiple human poses in real-time, based on simple decision filters. the developed solution is designed to work with keypoints obtained from a selected open-source human poses recognition library. the author reveals details related to the method of processing and analysing obtained keypoints, describes the concept of decision filters and presents the results of the software implementation.

关键词： Codes Trajectory tracking Pose estimation Filtering algorithms Video surveillance Libraries Real-time systems

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Ontology-Driven Analytics for Indoor Point Clouds 25

Ontology-Driven Analytics for Indoor Point Clouds

引用

25th international conference on computer-aided Architectural design Research in Asia, CAADRIA 2020

作者： Stojanovic, Vladeta Hagedorn, Benjamin Trapp, Matthias Döllner, Jürgen Faculty of Digital Engineering Hasso Plattner Institute University of Potsdam Computer Graphics Systems Group Germany

ISBN: (纸本)9789887891741

Automated processing, semantic enrichment and visual analytics methods for point clouds are often use-case specific for a given domain (e.g, for Facility Management (FM) applications). Currently, this means that applicable processing techniques, semantics and visual analytics methods need to be selected, generated or implemented by human domain experts, which is an error-prone, subjective and non-interoperable process. An ontology-driven analytics approach can be used to solve this problem by creating and maintaining a Knowledge Base, and utilizing an ontology for automatically suggesting optimal selection of processing and analytics techniques for point clouds. We present an approach of an ontology-driven analytics concept and system design, which supports smart representation, exploration, and processing of indoor point clouds. We present and provide an overview of high-level concept and architecture for such a system, along with related key technologies and approaches based on previously published case studies. We also describe key requirements for system components, and discuss the feasibility of their implementation within a Service-Oriented Architecture (SOA). © 2020 and published by the Association for computer-aided Architectural design Research in Asia (CAADRIA), Hong Kong.

关键词： Ontology

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11th international conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2020, held as part of the 22nd international conference on Human-computer Interaction, HCII 2020

11th International Conference on Digital Human Modeling and ...

引用

11th international conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2020, held as part of the 22nd international conference on Human-computer Interaction, HCII 2020

ISBN: (纸本)9783030499037

the proceedings contain 77 papers. the special focus in this conference is on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. the topics include: Extracting and Evaluating Personal Interests with Dialogue Agent;usability Assessment of Augmented Reality-Based Pedestrian Navigation Aid;towards Practical Use of Bedside Sensing/Voice-Calling System for Preventing Falls;use of Technologies for Supporting Dementia Care;a Study of Quantifying Skills of Caregivers Touch to People with Dementia;a design Framework to Automate Task Simulation and Ergonomic Analysis in Digital Human Modeling;verifying the Usefulness of Monitoring Sensors Used by Caregivers in Nursing Homes;investigations on Monitoring Sensor Usage and Decision-Making: A Case Study in an Elderly Care Facility;advancing a ‘Human Factors & Ethics Canvas’ for New Driver Assistance Technologies Targeted at Older Adults;heart Sound Recognition Technology Based on Deep Learning;developing Parameters for a Technology to Predict Patient Satisfaction in Naturalistic Clinical Encounters;EVIDENT: Extraction and Visualization Interface of Drawing Execution in Neuropsychological Tests;TrackSugAR;a Technology-Driven Approach for Child-Friendly Diabetes Management;a Personal Health-Tracking System Focused on Social Communication for Motivation;semi-autonomous Collaborative Mobile Platform with Pre-diagnostics for Hospitals;how Do We Sit When Our Car Drives for Us?;excessive Smartphone Use and Associated Physiological Disorders – A Survey on Research Status in India;research and design of Relieving Neck Muscle Fatigue Based on Serious Game;study on the Effect of Cervical Spine Somatosensory Games of Virtual Reality and Augmented Reality on Relieving Neck Muscle Fatigue;computer-Interfacing with Noninvasive Muscle Activity Diagnostic;foreword.

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the control system simulation technology for optimization and determination of the feasible parameters domain 13

The control system simulation technology for optimization an...

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13th international Scientific and Technical conference on Applied Mechanics and Systems Dynamics, AMSD 2019

作者： Denisova, L.A. Meshcheryakov, V.A. Karabtsov, R.D. Omsk State Technical University Pr. Mira 11 Omsk644050 Russia Pr. Mira 5 Omsk644080 Russia

this paper focuses on the simulation technology for optimization of the automatic control system (ACS) parameters vector to be tuned and to provide a stable operating mode eliminating self-oscillations. A hybrid approach (synthesis of optimal control methods and simulation research) for designing ACS using genetic algorithms is presented, which allows taking into account constraints when searching for the optimal solution. Simulation of the ACS was performed using the software tools MATLAB / Simulink / Global Optimization Toolbox. It is shown that the proposed technology for determining the domain of recommended tuning parameters is effective for computer-aided design of ACS, it allows to significantly improve the quality of control and reduce the time spent on pre-setting developed controllers. © Published under licence by IOP Publishing Ltd.

关键词： computer aided software engineering

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Small Electra for Hate: A Transformer Lightweight Approach to Hate Text Classification 11th

Small Electra for Hate: A Transformer Lightweight Approach ...

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11th Annual international conference on Information Management and Big Data, SIMBig 2024

作者： Lazo Vasquez, Ricardo Ochoa-Luna, José Department of Computer Science Universidad Católica San Pablo Arequipa Peru

ISBN: (纸本)9783031914270

Detecting hate speech in text is essential in today’s digital age, where online platforms strive to eliminate toxic discourse and create a healthy environment for users. In response to this challenge, we introduce SE4Hate, a Transformer-based model built on Electra Small, designed to tackle hate speech classification on social networks. Our model achieves an F1 score of 78.8785%, surpassing conventional approaches based on Transformers and Large Language Models (LLMs) like RoBERTa, ChatGPT, and FastChat T5, thanks to its cost-effective architecture and strong performance. Despite trailing the top state-of-the-art approach by 0.6%, which relies on an architecture seven times more complex, the model still provides notable improvements in cost-efficiency while maintaining a lightweight, traditional Transformer-based design. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Cost effectiveness

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