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检索条件"任意字段=9th International Conference on Computer Aided Design and Computer Graphics"

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Application of computer 3D Printing Technology in Trace Inspection 6th

Application of Computer 3D Printing Technology in Trace Insp...

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6th international conference on Communication, Devices and Networking, ICCDN 2022

作者： Ji, Zhongyuan Wang, Yucheng Shao, Ruyue College of Criminal Justice Shandong University of Political Science and Law Shandong Jinan250014 China Key Laboratory of Evidence-Identifying in Universities of Shandong Shandong University of Political Science and Law Shandong Jinan250014 China School of Clinical Medicine Chongqing Medical and Pharmaceutical College Chongqing250014 China Chongqing Engineering Research Center of Pharmaceutical Sciences Chongqing250014 China

ISBN: (纸本)9789819919826

3D printing technology is a new high-tech with a unique operation mode. Although 3D printing technology has broad application prospects in various fields, it is necessary to further strengthen its research. the application of computer 3D printing technology in trace detection is the process of creating a three-dimensional model or digital representation of an object. the main purpose of this technology is to find out the defects, missing parts and other problems in the inspected products. It can be used in manufacturing, quality control, design and more applications. this process uses computer aided design (CAD) software to help create accurate models from scratch. CAD software has all necessary tools, such as measuring tools, measuring equipment, etc., which are helpful to obtain accurate measurement values of scanned objects. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： three dimensional computer graphics

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9th international conference of Pioneering computer Scientists, Engineers and Educators, ICPCSEE 2023

9th International Conference of Pioneering Computer Scientis...

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9th international conference of Pioneering computer Scientists, Engineers and Educators, ICPCSEE 2023

ISBN: (纸本)9789819959709

the proceedings contain 66 papers. the special focus in this conference is on international conference of Pioneering computer Scientists, Engineers and Educators. the topics include: Prediction of Time Series Data with Low Latitude Features;lightweight and Efficient Attention-Based Superresolution Generative Adversarial Networks;the Multisource Time Series Data Granularity Conversion Method;outlier Detection Model Based on Autoencoder and Data Augmentation for High-Dimensional Sparse Data;dimension Reduction Based on Sampling;complex Time Series Analysis Based on Conditional Random Fields;Feature Extraction of Time Series Data Based on CNN-CBAM;optimization of a Network Topology Generation Algorithm Based on Spatial Information Network;MBTIviz: A Visualization System for Research on Psycho-Demographics and Personality;a Self-Attention-Based Stock Prediction Method Using Long Short-Term Memory Network Architecture;Distributed Implementation of SM4 Block Cipher Algorithm Based on SPDZ Secure Multi-party Computation Protocol;DP-ASSGD: Differential Privacy Protection Based on Stochastic Gradient Descent Optimization;study on Tourism Workers’ Intercultural Communication Competence;a Novel Federated Learning with Bidirectional Adaptive Differential Privacy;Chaos-Based Construction of LWEs in Lattice-Based Cryptosystems;security Compressed Sensing Image Encryption Algorithm Based on Elliptic Curve;two-Dimensional Code Transmission System Based on Side Channel Feedback;an Updatable and Revocable Decentralized Identity Management Scheme Based on Blockchain;cloud-Edge Intelligent Collaborative Computing Model Based on Transfer Learning in IoT;design and Validation of a Hardware-In-the-Loop Based Automated Driving Simulation Test Platform;CAD-Based Research on the design of a Standard Unit Cabinet for Custom Furniture of the Cabinet Type;improving Transferability Reversible Adversarial Examples Based on Flipping Transformation;rolling Iterative Prediction for Correlated Multiv

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9th international conference on design, User Experience, and Usability, DUXU 2020, held as part of the 22nd international conference on Human-computer Interaction, HCII 2020

9th International Conference on Design, User Experience, and...

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9th international conference on design, User Experience, and Usability, DUXU 2020, held as part of the 22nd international conference on Human-computer Interaction, HCII 2020

ISBN: (纸本)9783030497125

the proceedings contain 140 papers. the special focus in this conference is on design, User Experience, and Usability. the topics include: Research on user experience classification based on phenomenological method;a product/process model approach to formalize collaborative user experience design;should we measure ux differently?;how do designers make user-experience design decisions?;neurodesign: Making decisions and solving problems through understanding of the human brain;***: A platform that assumes design as a strategic tool;why (not) adopt storytelling in design?: Identifying opportunities to enhance students’ acceptance of storytelling;visually impaired accessibility heuristics proposal for e-commerce mobile applications;a systematic review of user-centered design techniques;a reusable approach to software support for adaptive navigation;house of prototyping guidelines: A framework to develop theoretical prototyping strategies for human-centered design;how effectively do experts predict elderly target-users of assistive devices? importance of expert knowledge in device development;usability heuristic evaluation for the hearing impaired language training mobile app;lifestyle as the object of design: Elements exploration from experience perspective;embodied cognition and tactile interaction: A review on how multi-sensorimotor experiences assisted by 3d printing can shape the general perception of daily activities;transforming diagrams’ semantics to text for visually impaired;usability heuristics evaluation in search engine;managing information in the case of opinion spamming;make me care: Ethical visualization for impact in the sciences and data sciences;involving users in sound design;visualizing information in scientific figures: What do you want me to know?;applying storycraft to facilitate an experience-centric conceptual design process.

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ADVANCING USER-CENTRIC design AND TECHNOLOGY ADOPTION FOR AGING POPULATIONS: A MULTIFACETED APPROACH 9

ADVANCING USER-CENTRIC DESIGN AND TECHNOLOGY ADOPTION FOR AG...

引用

9th international conference on Big Data Analytics, Data Mining and Computational Intelligence, BigDaCI 2024, the 10th international conference on Connected Smart Cities, CSC 2024 and the 16th international conference on e-Health, EH 2024, Part of the 18th Multi conference on computer Science and Information Systems 2024, MCCSIS 2024

作者： Stamate, Andreea Velciu, Magda Paul, Cosmina Spiru, Luiza Marzan, Mircea Dan Research Department Ana Aslan International Foundation Bucharest Romania Ana Aslan International Foundation Romania Saint Luca’s Chronic Diseases Clinical Hospital Department of Geriatrics Gerontology Old Age Psychiatry and Longevity Medicine Carol Davila University of Medicine and Pharmacy Bucharest Romania

ISBN: (纸本)9789898704597

the global aging trend requires a nuanced approach to assistive technology for older adults. this paper summarizes challenges and strategies for technology adoption among aging populations. User-centric design and co-creation are crucial for effective technologies. Challenges like participant selection, feedback attitudes, and trust-building are vital for meaningful user involvement. Accurate assessment of technological literacy in older adults is crucial. Objective measures are needed due to unreliable self-reported proficiency. the fragmented digital ecosystem and digital divide hinder technology adoption. Integrating caregivers into adoption models is crucial. Collaboration and research standards are vital to address societal inequalities. User-centric design, caregiver integration, and interdisciplinary collaboration can improve technology acceptance and older adults' quality of life in the digital era. © 2024 Big Data Analytics, Data Mining and Computational Intelligence. All Rights Reserved.

关键词： Best Practices Co-Creation Digital Products Older Adults User Experience

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Masked Face Detection for Effective COVID-19 Containment: A Light Convolution Neural Network Based Model 1

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9th international conference on Pattern Recognition and Machine Intelligence (PReMI)

作者： Salim, Nilu R. Sri, M. Yasolakshmi Jayaraman, Umarani Indian Inst Informat Technol Design & Mfg Chennai Tamil Nadu India

ISBN: (数字)9783031127007

ISBN: (纸本)9783031126994;9783031127007

COVID-19 a pandemic caused by novel coronavirus has been circulating across the world for a long time. COVID-19 has had an influence on almost every aspect of growth. the healthcare system is in a state of emergency. According to WHO, wearing a mask is mandatory to protect ourselves from the virus. In this paper, a framework has been proposed for limiting COVID-19 growth by identifying people who are not wearing a facial mask in a crowded places of a city with the help of CCTV. When a person without a mask is detected, the appropriate authority is notified via the city network. A light CNN model has been proposed to identify the presence or absence of mask from face images. the proposed CNN model has given high accuracy on publicly available masked face datasets namely LFW-s, SMFD and RMFD. It has outperformed ResNet-50 and EfficientNetB0 CNN models.

关键词： covid-19 masked face detection convolution neural networks ResNet-50 EfficientNetB0

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9th international conference of Pioneering computer Scientists, Engineers and Educators, ICPCSEE 2023

9th International Conference of Pioneering Computer Scientis...

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9th international conference of Pioneering computer Scientists, Engineers and Educators, ICPCSEE 2023

ISBN: (纸本)9789819959679

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Study on international Researcher Cooperation Networks to Build Research Collaboration Competence in ASEAN Country. 9

Study on International Researcher Cooperation Networks to Bu...

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Joint 9th international conference on Digital Arts, Media and Technology with 7th ECTI Northern Section conference on Electrical, Electronics, computer and Telecommunications Engineering, ECTI DAMT and NCON 2024

作者： Saengsawang, Pongtawan Kornsurin, Phusit Aonon, Manaschai Santirojanakul, Sirikorn Chiang Mai University College of Arts Media and Technology Chiang Mai Thailand Payap University Business Administration Chiang Mai Thailand

ISBN: (纸本)9798350318241

the study on international researcher cooperation networks to build research collaboration competence in ASEAN countries was conducted as part of the high-performance manpower development plan under Strategies 3 and 4 of Program Management Unit for Human Resources & Institutional Development, Research and Innovation (PMU-B). the study began by understanding the business and gathering information on leading ASEAN researchers from five selected industries: Artificial Intelligence (AI), Quantum, Earth and Space, High Energy Physics, and Bio Circular Green Economy (BCG). the data was collected from the databases of SCOPUS and SciVal, total number 8,220 items. the data was then analyzed using descriptive and diagnostic methods to examine the trend and distribution of talented people in ASEAN. the results were categorized based on the production of research articles in the past 10 years, which can help the ASEAN community collaborate on research and determine research directions with the intention of creating an impact for the ASEAN group in the future. the study's findings will be used to design and develop the ASEAN Talent Mobility platform, which will be a tool used to drive the creation of a collaborative network of international researchers in groups in ASEAN countries. © 2024 IEEE.

关键词： Earth (planet)

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Detection of Heart Disease Using Association Pattern Mining 9

Detection of Heart Disease Using Association Pattern Mining

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9th IEEE international Women in Engineering (WIE) conference on Electrical and computer Engineering, WIECON-ECE 2023

作者： Islam, Anika Tasnim Hasan, Md. Rifat Hasan, S.M. Yasmeen, Fauzia Fareast International University Department of Computer Science and Engineering Dhaka Bangladesh

ISBN: (纸本)9798350319651

the heart disease is a crucial and serious reason for dismalness and death within the present society. Nearly 60% of people all over the world is becoming a victim of this malady. In spite of the fact that there is remarkable improvement has been noticed within the determination and treatment of cardiovascular disease, exploration is still required to a greater extent. Due to the absence of adequate analytical techniques for extracting new data correlations and trends, even specialists are unable to precisely identify the disease. there is a requirement to design an appropriate decision system that can properly diagnose the diseases using the existing data. In the medical sector, association pattern mining is getting to be progressively well-known. Association Pattern Mining is a technique of computational intelligence. To discover the familiar elements that result in heart disease association pattern mining is applied. In this paper, the association rule is mined in a Cleveland dataset for minimum support, minimum confidence, and minimum lift thresholds for investigating the health factors. Examining the data accessible on sick and healthy people and the rules are being produced. this study identifies the findings after generating association rules from clinical information to diagnose heart disease. It is also observed that for both men and women, the possibility of heart disease increases while the chest pain is asymptomatic and exercise-induced angina is present. On the contrary, while the chest pain is more anginal and the exercise-induced angina is absent, the possibility of a person being healthy irrespective of his/her gender gets higher. © 2023 IEEE.

关键词： Association rules

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Post Quantum Secure Aggregate Signature Assisted Data Authentication for Internet of Vehicles 9

Post Quantum Secure Aggregate Signature Assisted Data Authen...

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9th IEEE international conference on Electronics, Computing and Communication Technologies, CONECCT 2023

作者： Sharma, Tannu Shrivastava, Pratik Ranjith Kumar, M. Sai, Koppera Kushal Kaushal, Sachin Chaudhary, Dharminder Lovely Professional University Dept. of Mathematics Jalandhar India Bennett University School of Computer Science Engineering and Technology Noida India Amrita Vishwa Vidyapeetham Dept. of Mathematics Amrita School of Engineering Chennai India Amrita School of Computing Amrita Vishwa Vidyapeetham Dept. of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350334395

the Internet of Vehicle enables million of vehicles to transfer sensitive information through an Internet of things assisted networking system. It is a very challenging idea wherein different types of data authentication protocols have been designed number theory based assumptions (RSA/DLP). the quantum computers are big threats to number theoretic assumptions. In this article, we have designed a post quantum secure aggregate signature assisted data authentication framework for internet of vehicles. Further, a secure aggregate signature assisted data authentication framework have been proposed that supports batch data verification. We have proposed an efficient aggregate signature to verify authenticity of multiple vehicles in one step. the security of protocol relies upon two assumptions, (1) Module Learning With Errors and (2) Module Short Integer Solution. the proposed design ensures security against quantum attacks. the design is simulated in ns3 to capture latency and throughput, respectively. © 2023 IEEE.

关键词： Authentication

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Cooking and Food Information Chatbot System using GPT-3 9

Cooking and Food Information Chatbot System using GPT-3

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9th IEEE international conference on Computing, Engineering and design, ICCED 2023

作者： Safitri, Safitri Mantoro, Teddy Bhakti, Muhammad Agni Catur Wandy, Wandy Sampoerna University Department of Computer Science South Jakarta Indonesia

ISBN: (纸本)9798350370126

this study explored the development and implementation of chatbots for informing healthy eating and addressing dietary concerns. the research problem addressed is the lack of nutritional understanding and unhealthy eating patterns among individuals, which can lead to various health issues. the study discusses the development of a chatbot called CookPal, which leverages the GPT-3 model by OpenAI to provide personalized recommendations and information about food preparation or selection that can lead users toward healthy eating habits. the study highlights the potential of chatbots in providing information about cooking and food choices. Qualitative research was adopted as an iterative approach that led to an enhanced comprehension within the scientific community by making noteworthy observations. User acceptance testing was conducted to evaluate the Chatbot's performance, with participants providing feedback on satisfaction, relevance of responses, and usability. the results showed a high level of accuracy from the Chatbot based on User Acceptance Test, with as much as 86% of the average total accuracy of all testing scenario sessions and positive user feedback with a value of 4.5 out of 5 in a scalar size of 1 to 5. Overall, this research provided valuable insight into the potential of chatbot technology in promoting healthy eating and addressing dietary concerns. the study's findings emphasize the growing importance of integrating computer science advancements, such as AI and sophisticated language models, into health and nutrition to benefit individuals in making informed and healthier lifestyle choices. © 2023 IEEE.

关键词： Acceptance tests

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