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检索条件"任意字段=10th International Conference on Computer-Aided Design and Computer Graphics"

共 10291 条记录，以下是201-210 订阅

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MusicCollage: A Music Composition Tool for Children Based on Synesthesia and a Genetic Algorithm 10th

MusicCollage: A Music Composition Tool for Children Based on...

引用

10th international conference on Distributed, Ambient and Pervasive Interactions (DAPI) Held as Part of the 24th international conference on Human-computer Interaction (HCII)

作者： Yan, Ge Yao, Cheng Zhang, Chao Wang, Jiadi Hu, Yuqi Ying, Fangtian Zhejiang Univ Coll Software Technol Hangzhou Peoples R China Zhejiang Univ Coll Comp Sci & Technol Hangzhou Peoples R China Zhejiang Univ Int Sch Design Ningbo Peoples R China Hubei Univ Technol Coll Design Wuhan Hubei Peoples R China

ISBN: (纸本)9783031054310;9783031054303

Creating music can be challenging for children aged 4-6. Making the creation procedure more interesting has been proved to stimulate and build children's interests in music. Based on the design concept of synesthesia from vision to hearing, we propose an application bywhich children aged 4-6 can create collages by matching different images of scenes and animals. the information contained in the created collages is then used as input parameters for generating music so as to create melodies corresponding to the collages. To evaluate our approach, we conducted a quantitative and qualitative user study with children (n = 6) by using our initial prototype. We concluded that the proposed application helps cultivate children's willingness to create melodies, and helps children better perceive and understand music by combining scenes and animal images in the collages.

关键词： Synesthesia Music creation Children Collage Genetic algorithm

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Teachers' Educational design Using Adaptive VR-Environments in Multilingual Study Guidance to Promote Students' Conceptual Knowledge 1

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10th international conference on Learning and Collaboration Technologies (LCT) Held as Part of the 25th international conference on Human-computer Interaction (HCII)

作者： Edstrand, Emma Sjoberg, Jeanette Hashem, Sylvana Sofkova Halmstad Univ Kristian 4 S Vag 3 S-30118 Halmstad Sweden Univ Gothenburg Laroverksgatan 11 S-41120 Gothenburg Sweden

ISBN: (数字)9783031345500

ISBN: (纸本)9783031345494;9783031345500

Virtual Reality (VR) is an example of a technology offering interesting potentials for learning in schools. through VR, information and knowledge are made accessible in new ways since the technology allows experience destinations and content in 3D format that goes beyond classroom. In addition, VR invites activities where teachers and students can engage in the creation of content. the study has a particular interest in teachers' educational design using adaptive VR-environments in multilingual study guidance. Multilingual study guidance is a support in Swedish schools to enhance the development of subject content learning in native language. Based on a co-design approach combining methods of action research and design-based research the aim of the study is to explore how to didactically design multilingual study guidance to promote the development of students' conceptual knowledge with adaptive VR-environments. the research questions posed are: (1) How do study guidance (SG) teachers plan and organize for multilingual study guidance with adaptive VR-environments? and (2) In what way is the subject content enacted in adaptive VR-environments? the data concerns interviews and workshop discussions with two SG-teachers reflecting on opportunities and challenges with multilingual study guidance carried out in VR-environments. the results show in what ways adaptive VR-environments function as a bridge between students' first language and the subject area content and that the SG-teachers act as pillars of support. Furthermore, the study contributes to increasing the quality of multilingual study guidance, which is a field where research is limited.

关键词： Didactic design design-based Research Multilingual Study Guidance Teachers Teaching Virtual Reality

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UTEMS: A Unit Testing Scheme for Event-driven Microservices 10

UTEMS: A Unit Testing Scheme for Event-driven Microservices

引用

10th international conference on Dependable Systems and their Applications, DSA 2023

作者： Ma, Shang-Pin Yang, Yu-Yung Lee, Shin-Jie Yeh, Hang-Wei National Taiwan Ocean University Department of Computer Science and Engineering Taiwan National Cheng Kung University Department of Information Engineering and Computer Science Taiwan

ISBN: (纸本)9798350304770

this paper introduces a novel scheme to facilitate unit testing for event-driven microservices. the proposed approach includes implementation procedures formulated in accordance with the message broker, event publishing and consumption, and individual steps in the saga design pattern. the proposed approach makes it possible to formulate unit test cases that effectively capture errors associated with publishing, the channel subscription process, invalid message formatting, and ineffective error remediation methods. © 2023 IEEE.

关键词： Apache Kafka event-driven microservice saga unit testing

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Automotive Lightweight design Modeling And Intelligent Optimization Learn Key Technologies 10

Automotive Lightweight Design Modeling And Intelligent Optim...

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10th IEEE international conference on Cyber Security and Cloud Computing and 9th IEEE international conference on Edge Computing and Scalable Cloud, CSCloud-EdgeCom 2023

作者： Xu, Gejing Liang, Wei Cai, Jiahong Xiao, Jiahong Chen, Xingyu Gong, Yinyan QuanZhou University Information Engineering Software College QuanZhou362000 China Hunan University of Science and Technology School of Computer Science and Engineering Xiangtan411201 China

ISBN: (纸本)9798350312461

the automotive industry has always been seeking innovative solutions to improve car performance, safety, and cost savings. Lightweight design technology has become one of the solutions. this article summarizes the modeling and optimization methods of automotive lightweight design, as well as key technologies based on intelligent optimization learning. First, this article outlines the basic concepts of automotive lightweight design, as well as the needs and challenges of the industry for lightweight design. then, the modeling methods of lightweight design are introduced in detail, including geometric modeling, topology optimization, structural optimization, and multidisciplinary optimization. At the same time, commonly used materials, manufacturing processes, and testing methods in lightweight design are introduced, as well as relevant design guidelines and standards. this article also introduces some algorithms and their applicable scenarios. Additionally, this article summarizes the application prospects and future development directions of key technologies for automotive lightweight design modeling and intelligent optimization learning. We emphasize the opportunities and challenges in this field and propose how to continue promoting the development of lightweight design technology and responding to increasingly complex market demands. this article provides a systematic review of key technologies for automotive lightweight design modeling and intelligent optimization learning, which helps researchers and practitioners to deepen their understanding of the technical development and application trends in this field. © 2023 IEEE.

关键词： Automotive industry

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Optimization design of RSU for Internet of Vehicles Based on Decomposition Multi-Objective Evolutionary Algorithm 10

Optimization Design of RSU for Internet of Vehicles Based on...

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10th international conference on Systems and Informatics, ICSAI 2024

作者： Sun, Nannan Chen, Qidong School of IoT Wuxi University Faculty of Computer Science Wuxi China

ISBN: (纸本)9798331510138

With the development of economy and society, the layout of China's Internet of Vehicles industry has been continuously improved. RSUs play an important role in the Internet of Vehicles. But it faces problems such as high cost, low coverage, low signal quality, and high energy efficiency. the RSU coverage problem in the Internet of Vehicles is a multi-objective optimization problem. An improved decomposition-based MOEA (MOEA/D), called MOEA/D-ODE, is proposed, which employs the OBL method to produce an opposite population and a new differential evolution (DE) operator during the evolving process. the OBL method could enhance the probability of obtaining a better candidate population, and the DE operator helps the population to move closer to the Pareto optimal solutions, so that the convergence of the algorithm to the Pareto front could be accelerated effectively. So we propose this algorithm to solve the multi-objective optimization problem of vehicle networking RSU. © 2024 IEEE.

关键词： Optimization algorithms

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Current and Voltage Scaling for Maximum Transferable Active Power Improvement of Weak-Grid-Tied Grid-Following Inverters 10

Current and Voltage Scaling for Maximum Transferable Active ...

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10th IEEE international Power Electronics and Motion Control conference, IPEMC 2024 ECCE Asia

作者： Zhou, Weihua Bahrani, Behrooz Monash University Department of Electrical and Computer Systems Engineering Melbourne Australia

ISBN: (纸本)9798350351330

the grid-following inverter's dq admittance model manifests a negative resistance in the low-frequency range due to the phase-locked loop, potentially leading to low-frequency instabilities and limiting the maximum transferable active power (MTAP), especially in weak grid scenarios. this paper introduces a simple and efficient current and voltage scaling scheme to counteract the phase-locked loop's adverse effects, enabling the grid-following inverter to inject per-unit active power even under extremely weak grid conditions. Complemented by a detailed design procedure, this proposed method stands out for its simplicity and effectiveness. Time-domain simulations validate the proposed scheme's efficacy in MTAP enhancement. © 2024 IEEE.

关键词： Voltage scaling

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An Enhanced Diagnostic System using Deep Learning for Early Prediction of Pancreatic Cancer 10

An Enhanced Diagnostic System using Deep Learning for Early ...

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10th international conference on Electrical Energy Systems, ICEES 2024

作者： Bhargavi, Kumbham Prasad, M Lakshmi Arun, G. Shaker Reddy, Pundru Chandra Yuvalatha, S. Triveni, M Naga Telangana Hyderabad India Computer Science and Engineering Institute of Aeronautical Engineering Telangana Hyderabad India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Computer Science and Engineering Chennai India SR University School of Computer Science and Artificial Intelligence Telangana Warangal India Anna University Bannari Amman Institute of Technology Computer Science and Business Systems Tamil Nadu India Telangana Hyderabad India

ISBN: (纸本)9798350353778

With a dismal 5-year survival-rate of approximately 7%, pancreatic-cancer(PC) remains one of the world's most lethal tumors. In order to improve patient survival rates, early detection of PC is essential. computerized-tomography(CT), MRI combined with MRCP, or a biopsy is necessary for the diagnosis of PC. the steps involved in the suggested CAD design process are as follows: picture preprocessing, segmentation, feature-extraction & classificatiion. Color conversion and the isotropic diffusion filter method are utilized for preprocessing. the next step is the segmentation processes' usage of the suggested Fuzzy K-NN Equality code. A classification tool that makes use of Deep Learning is feature extraction. Using the characteristics gathered from the pancreatic sample, tumor cells are categorized. the image classification criterion includes both the train values and the testing datasets. To identify pancreatic cancer, an algorithm called DCNN_DBN is employed, which combines Deep-Convolutional Neural-Networks with Deep-Belief-Networks. the results of the experiments show that the present CAD system has great promise and is safe for the automated diagnosis of benign & malignant tumors, with an accuracy rate of 99.8 percent. the use of this classifier greatly reduces the computational complexity. More anomalies in pancreatic cancer cells could be detected with an improved version of the proposed method. © 2024 IEEE.

关键词： Image segmentation

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Efficient Diagnosis of Intracranial Tumor on MRI Scans 10

Efficient Diagnosis of Intracranial Tumor on MRI Scans

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10th international conference on Communication and Signal Processing, ICCSP 2024

作者： Amshavalli, R.S. Ramkumar, P. Reshath, M. Sheena, B. Gracelin Kumar, V. Nithish Sathyabama Institute of Science and Technology Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350353068

the accurate and timely diagnosis of intracranial tumors is crucial for effective treatment and management. In recent years, magnetic resonance imaging (MRI) has emerged as a valuable tool for detecting and diagnosing intracranial tumors. the objective of this paper is to review the current state of research on the diagnosis of intracranial tumors using MRI scans and to provide an overview of the various techniques and methodologies employed. MRI has proven to be highly sensitive and specific in the detection of intracranial tumors. It provides detailed images of the brain, allowing for the identification of tumor location, size, and characteristics. Various MRI sequences, such as T1-weighted, T2-weighted, diffusion-weighted, and contrast-enhanced imaging, can be utilized to enhance the visualization and detection of tumor tissues. Moreover, advanced MRI techniques, including magnetic resonance spectroscopy (MRS) and functional MRI (fMRI), have shown promise in evaluating tumor metabolism and functional status. Several studies have focused on developing computer-aided diagnosis (CAD) systems to assist radiologists in interpreting MRI scans and improving diagnostic accuracy. these CAD systems utilize machine learning algorithms and image processing techniques to analyze MRI data and help distinguish between normal brain tissue and tumor abnormalities. Furthermore, the integration of MRI with other imaging modalities, such as positron emission tomography (PET) and single-photon emission computed tomography (SPECT), has been explored to enhance tumor detection and characterization. In conclusion, MRI plays a crucial role in the diagnosis and detection of intracranial tumors. the development and utilization of advanced imaging techniques, as well as the integration of MRI with other modalities, hold great promise in improving early detection, accurate diagnosis, and effective treatment planning for patients with intracranial tumors. © 2024 IEEE.

关键词： Magnetic resonance imaging

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Machine Learning Models for Sentiment Analysis 10

Machine Learning Models for Sentiment Analysis

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10th international conference on Advanced Computing and Communication Systems, ICACCS 2024

作者： Muralidhar, Amrutha Lakkanna, Yathindra B. M. S College of Engineering Department of Computer Science and Engineering Bengaluru India National Institute of Fashion Technology Department of Fashion and Lifestyle Accessory Design Bengaluru India

ISBN: (纸本)9798350384369

In the competitive landscape of online fashion retail, understanding and responding to customer sentiments is crucial for success. Our study addresses the challenge faced by retailers in effectively analyzing diverse customer feedback data to enhance their understanding of customer sentiments. We evaluate the performance of five machine learning models using techniques like word cloud examination, sentiment distribution assessment, and Latent Dirichlet Allocation. Our findings indicate that SVM and Logistic Regression emerge as the top-performing models, with SVM demonstrating superior accuracy and overall performance compared to the others. By using these methods, online stores may improve consumer satisfaction and obtain a competitive advantage in the market. this research contributes to broader industry advancements by providing clear guidance on leveraging machine learning for sentiment analysis in the online fashion retail sector. © 2024 IEEE.

关键词： Adversarial machine learning

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IoT-Based Integrated Parking System Prototype using RFID and HC-SR04 10

IoT-Based Integrated Parking System Prototype using RFID and...

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10th international conference on Information Technology, computer, and Electrical Engineering, ICITACEE 2023

作者： Eridani, Dania Windarto, Yudi Eko Zaka, Ghiffari Diponegoro University Dept. of Computer Engineering Semarang Indonesia

ISBN: (纸本)9798350322729

Most parking system solutions developed to serve a significant number of cars, e.g., office buildings in Indonesia, do not include a feature directing the drivers to the location of available parking space that can be helpful for them. Several studies have been done regarding smart-parking systems. However, none provides integrated solutions, including membership payment, parking log, and available parking slots feature that can direct drivers to an empty parking slot. this study aims to propose an IoT-based parking system integrating the mentioned features. Radio Frequency Identification (RFID) and HC-SR04 sensors are utilized to record all cars entering parking areas and monitor them to generate empty parking slot information. the proposed system is applicable, and its functionalities work according to the system design. © 2023 IEEE.

关键词： Internet of things

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