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检索条件"任意字段=Proceedings of the 2nd annual conference on Computer graphics and interactive techniques"

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Detection of Respiratory Diseases from Auscultated Sounds Using VGG16 with Data Augmentation 2

Detection of Respiratory Diseases from Auscultated Sounds Us...

引用

2nd International conference on computer graphics and Image Processing, CGIP 2024

作者： Binti Roslan, Intan Kamilia Ehara, Fumiaki University Teknologi MARA Selangor Malaysia National Institute of Technology Ube College Ube Japan

ISBN: (纸本)9798350374186

Lung disease, ranking third globally for causes of death with over 3 million annual fatalities according to the 2015 World Health Organization (WHO), underscores the significance of lung sound features in respiratory illness diagnosis. Auscultation, a subjective early detection method, led to the development of a computer-Aided Diagnosis (CAD) system employing the VGG16 model for medical imaging complexity. Data limitations necessitated augmentation, enhancing VGG16's performance compared to non-augment results. Respiratory Disease Detection (RDD) task was introduced. Short-Time Fourier Transform (STFT) facilitated audio feature extraction, while VGG16, using transfer learning and fine-tuning, proved effective on a Kaggle-sourced dataset. Augmentation techniques, including pitch shifting, time stretching, and horizontal flipping, addressed class imbalance. The study introduces innovative data augmentation techniques to overcome the challenge of limited training data, demonstrating the effectiveness of augmentation in enhancing the VGG16 model's performance. © 2024 IEEE.

关键词： computer aided diagnosis

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PM4Car: A Scriptable Parametric Modeling Interface for Conceptual Car Design Using PM4VR 2

PM4Car: A Scriptable Parametric Modeling Interface for Conce...

引用

2nd International conference on computer graphics and Image Processing, CGIP 2024

作者： Li, Wanwan University of Tulsa Department of Computer Science TulsaOK United States

ISBN: (纸本)9798350374186

This paper introduces PM4Car, a novel scriptable parametric modeling interface tailored for conceptual car design, leveraging the power of PM4VR (Parametric Modeling for Virtual Reality). The integration of parametric modeling techniques with VR environments offers a unique platform for conceptual car designers to explore parametric design concepts. PM4Car aims to enhance the efficiency and creativity of the conceptual car design process by providing an easy-to-use, flexible, and intuitive interface for designers to script and manipulate parametric models in an immersive virtual environment. © 2024 IEEE.

关键词： Virtual reality

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A Practical Study on computer-Aided Drawing in Bionic Product Drawing Design 2

A Practical Study on Computer-Aided Drawing in Bionic Produc...

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2nd International conference on computer graphics and Image Processing, CGIP 2024

作者： Cai-Wei, Ho Che, Huang-Yu Chung-Shun, Feng Chao Yang University of Technology Department of Industrial Design Taichung City Taiwan

ISBN: (纸本)9798350374186

Different design requirements lead to the adoption of various approaches in computer-aided drawing, impacting the visualization, synthesis, drawing, and output ofmaterials. This study aligns with the requirements of biomimicry, aiming to achieve realistic effects in product surface texture, structure, and motion. computer-aided drawing and computer-aided design offer numerous benefits for product design, including physical representation and testing, time and cost savings, customization and variability, design communication, and dealing with complexity. Overall, computer-aided design introduces a more efficient, accurate, and innovative product development method, enhancing the efficiency and quality of the entire process. This research focuses on how computer-aided drawing addresses the challenges of biomimetic drawing design in terms of drawing techniques, technical issues, and the realistic effects of product surface texture. This involves an understanding of biological structural and functional principles. The advantages of computer-aided design in biomimetic design contribute to increased efficiency and better results. The study provides rich drawing methods for biomimetic design using computer-aided drawing, offering various presentation approaches. In summary, through a real design drawing practice, this research demonstrates the potential advantages of fully utilizing computer-aided drawing technology, enhancing the realistic effects of biomimetic design drawing processes and providing a reference for future relevant drawing designs. © 2024 IEEE.

关键词： Product design

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Comparative Study on Serial and Parallel Implementation of Face Detection 2

Comparative Study on Serial and Parallel Implementation of F...

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2nd IEEE International conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, ICIITCEE 2024

作者： Mallegowda, M. Theertha, K. Varsha, S.D. Kanavalli, Anita Ramaiah Institute of Technology Dept. of Computer Science and Engineering Bangalore India Ramaiah Institute of Technology Prof. and Dept of CSE. Bangalore India

ISBN: (纸本)9798350306415

Large-data set artificial neural network training takes a lot of time. Many ways for reducing effort have been proposed, many of which make use of parallelization techniques. This paper explores the implementation of face detection algorithms utilizing OPENMP to achieve greater efficiency through parallelization. We focus on specific OpenMP parallelization setups that run on a typical multi-threaded CPU. These frameworks are also available for CUDA, however utilizing CUDA is only possible if you have an NVIDIA graphics card, which is clearly not the case for everyone. OpenMP's release of a stable version in late 2015 facilitated parallel processing and broadened its development base. © 2024 IEEE.

关键词： face detection algorithms OpenMP parallelization

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computer-Aided Industrial Design: A Case Study of 3D Modeling and Rendering for a Ceremonial Seasoning Jar Set 2

Computer-Aided Industrial Design: A Case Study of 3D Modelin...

引用

2nd International conference on computer graphics and Image Processing, CGIP 2024

作者： Fu, Ching-Hai Huang, Yu-Che Chaoyang University of Technology Department of Industrial Design Taichung City Taiwan

ISBN: (纸本)9798350374186

computer-aided design (CAD) and image synthesis have emerged as powerful tools in the field of industrial design, enabling designers to create lifelike visualizations of products. However, the diverse design requirements and variations in 3D modeling and rendering techniques pose challenges for different product designs. For instance, the rendering of materials such as metal and glass requires specific attention to highlights and environmental ***-Aided Industrial Design (CAID) has revolutionized the industrial design field by providing designers with a robust platform for conceptualizing and developing products. This research focuses on examining the impact of 3D modeling and rendering techniques on product design, with a specific emphasis on the creation of a ceremonial spice jar set. The utilization of 3D modeling and rendering offers numerous advantages, including the ability to visualize intricate details, evaluate ergonomics, and simulate real-world scenarios, thereby fostering innovation and precision. Furthermore, this study explores the process of designing a ceremonial spice jar set that exudes elegance and ritual. By leveraging 3D modeling and rendering, designers have the opportunity to unleash their creativity and meticulously craft every contour and texture, ensuring a seamless integration of form and function. Additionally, careful consideration of cultural nuances, user preferences, and material choices is essential in order to evoke the desired sense of ceremony. By paying attention to lighting, materials, and proportions, digital models can be transformed into realistic representations that enhance the visual appeal of the product. In conclusion, this study highlights the transformative potential of 3D modeling and rendering in the field of industrial design, using the example of a ceremonial spice jar set. By embracing these technologies and adhering to best practices, designers can create products that transcend mere functionality an

关键词： 3D modeling

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Enhancing Endless Runner Gameplay: Integrating Brainwave-Based Natural Interaction with Rule-Based Management System 2

Enhancing Endless Runner Gameplay: Integrating Brainwave-Bas...

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2nd International conference on Technology Innovation and Its Applications, ICTIIA 2024

作者： Nendya, Matahari Bhakti Husniah, Lailatul Wibowo, Hardianto Mu'min, Syahri Senapartha, I. Kadek Dendy Universitas Kristen Duta Wacana Deptartement of Informatics Yogyakarta Indonesia Universitas Nahdlatul Ulama Sidoarjo Departement of Information System Sidoarjo Indonesia

ISBN: (纸本)9798350351613

Within gaming technology, progress now encompasses novel player engagement methods beyond traditional gameplay mechanics. Historically devices like joysticks and motion cameras were crucial. Recently, brainwave technology, which uses EEG signals to control game characters, has emerged. This study explores EEG signals potential to enable natural interaction, offering a unique experience. Using Bluetooth to capture and transmit brainwave signals, players can control characters by thinking. Our study explores gender disparities in game attention signals. We chose an endless runner since it takes constant focus.. Male attention signals peaked at 96 Hz, compared to 78 Hz for females. Female attention signals averaged 43.1 Hz, while males averaged 38.3 Hz. Males have slightly less tension than females. These findings on cognitive processes during gameplay will inform brainwave-enabled gaming technology development. © 2024 IEEE.

关键词： interactive computer graphics

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interactive Sign Language Learning System using Deep Learning 2

Interactive Sign Language Learning System using Deep Learnin...

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2nd International conference on Self Sustainable Artificial Intelligence Systems, ICSSAS 2024

作者： Ravikumar, S. Praharsha, P. Dimple Priya, J. Sri Harsha Sai, V. Naga Rohit Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology Department of Computer Science and Engineering Avadi Tamil Nadu Chennai India

ISBN: (纸本)9798350368413

The 'interactive Sign Language Learning System' is a sophisticated application designed to facilitate the learning process of sign language learners. This comprehensive system encompasses several key features, including sign language alphabet and word recognition, text-to-action conversion for learners, multi-language support, and integrated voice output functionality. The system utilizes advanced algorithms for sign language recognition, employing techniques such as image processing and machine learning to accurately interpret hand gestures and movements. For sign language alphabet and word recognition, a combination of computer vision algorithms, possibly including convolutional neural networks (CNNs) or recurrent neural networks (RNNs), may be employed to analyze input images or video streams and classify them into corresponding sign language symbols or words. Text-to-action conversion involves mapping textual input to corresponding sign language actions or gestures, possibly using natural language processing (NLP) algorithms to understand the semantics of the text and generate appropriate sign language representations. The system's accuracy, measured in terms of correctly recognized sign language symbols or words, would depend on the effectiveness of the algorithms employed and the quality of the training data. With rigorous development and training, the system aims to achieve high accuracy levels, in sign language recognition and text-to-action conversion tasks. © 2024 IEEE.

关键词： Convolutional neural networks

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2nd International conference on Sustainable Computing and Data Communication Systems, ICSCDS 2023 - proceedings

2nd International Conference on Sustainable Computing and Da...

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2nd International conference on Sustainable Computing and Data Communication Systems, ICSCDS 2023

ISBN: (纸本)9781665491990

The proceedings contain 286 papers. The topics discussed include: machine learning based deceptive speech detection;transfer learning-based driver distraction detection;a backward business-oriented approach of major sectors in emphasizing sustainable technological pillars;prediction of sufficient accuracy for human activity recognition using novel long short term memory in compared with decision tree;automated driver drowsiness detection system using computer vision and machine learning;combining multi-features for lung cancer detection in computed tomography images: a feature fusion model;detection of fruit from an image using a single-shot detector for accurate calorie estimation;a framework for design and development of message sharing using open-source software;review of application of highly interactive and immersive computing technologies for enhancement of post-stroke survivor’s rehabilitation;effective surveillance using computer vision;traffic matrix estimation techniques- a survey on current practices;an improved machine learning based crop recommendation system;and contagious disease prediction using random forest algorithm interpolated with fuzzy model.

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proceedings - 2022 2nd International conference on computer graphics, Image and Virtualization, ICCGIV 2022

Proceedings - 2022 2nd International Conference on Computer ...

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2nd International conference on computer graphics, Image and Virtualization, ICCGIV 2022

ISBN: (纸本)9781665492508

The proceedings contain 51 papers. The topics discussed include: ELERP: an ellipsoidal linear interpolation for ellipsoidal graph visualization;convex-hull-directed edge routing geometric optimization;application of computer 3D technology in graphic design of animation scene;3D animation face modeling and feature extraction based on computer graphics and image processing technology;unwrapping phase method based on rearranged periodic fragments;application of configuration graphics modeling technology in scheduling automation graphics system;a cloud-edge-device collaborative inference framework;the innovative application of Buyi Batik pattern based on shape grammar;interpolation and sharpening for image upsampling;a review of image authentication techniques based on deep hashing;a creativity survey of generative adversarial networks applied to images;and natural image matting based on image inpainting.

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Performance of DCGAN in 3D Face Reconstruction 2

Performance of DCGAN in 3D Face Reconstruction

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2nd International conference on Advancement in Computation and computer Technologies, InCACCT 2024

作者： Gupta, Kriti Gupta, Meenu Kumar, Rakesh Obaid, Ahmed J. Chandigarh University Department of CSE Mohali India University of Kufa Faculty of Computer Science and Mathematics Najaf Iraq National University of Science and Technology College of Techincal Engineering Dhi Qar Iraq

ISBN: (纸本)9798350371314

Because 3D face reconstruction has so many applications in virtual reality, biometrics, and entertainment, it has drawn a lot of interest in the domains of computer vision and graphics. Deep Convolutional Generative Adversarial Networks (DCGANs) have showed potential in producing realistic 3D facial structures from 2D photographs. This paper provides a comprehensive analysis of DCGANs for multi-dataset 3D face reconstruction. Although DCGANs have been successful in the past in reconstructing animal faces, this study demonstrates their promise for reconstructing human faces. Using an organized strategy, the DCGAN models were trained on several facial databases, such as the FaceWarehouse, Prospo, and CelebA datasets. Despite the encouraging results, the study discovered that DCGAN's effectiveness for 3D human facial reconstructions had limitations. Both qualitative and quantitative methods are applied to evaluate the suggested course of action. Standard deviation and mean square error are used in the quantitative analysis, while eye inspection of the reconstructed faces is used in the qualitative study. The researchers propose a hybrid model approach that combines DCGANs with additional techniques like landmark recognition and transfer learning to improve reconstruction accuracy and realism. This paper indicates topics for more research to develop the discipline and advances enhancing our comprehension of DCGANs in 3D face reconstruction. © 2024 IEEE.

关键词： Generative adversarial networks

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