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Digital Painting Art Design Based on computer Aided Technology 2

Digital Painting Art Design Based on Computer Aided Technolo...

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2nd IEEE International conference on Mobile Networks and Wireless Communications, ICMNWC 2022

作者： Guo, Lei Xianyang Normal University College of Educational Sciences Shaanxi Xianyang China

ISBN: (纸本)9781665491112

The emergence of new media art happens to cater to people's spiritual demands, and to some extent satisfies people's needs for the development of modern painting, especially oil painting art. The colorful computer graphics art has had a huge impact on the traditional oil painting aesthetics. The purpose of this paper is to study digital painting art design based on computer-aided technology. The expression techniques of computer art creation are studied, and the digital painting software is designed from the design mode of painting tools and the digital painting software module. Through questionnaires and interviews with painters, teachers and stakeholders, the system analyzes the behavior characteristics of users in the software application interface, and analyzes the relevant characteristics that users care about. According to the evaluation method, the usability evaluation of the interactive interface design scheme of the digital painting software was carried out. The items related to simplicity, ease of learning, and feedback consistency obtained a high average score, and the usability statement items had room for optimization and improvement. The overall design still needs to be improved, and some functions are still lacking in some places. © 2022 IEEE.

关键词： Painting

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Wavelets-Based Digital Watermarking Scheme for Medical Image Data 2

Wavelets-Based Digital Watermarking Scheme for Medical Image...

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

作者： Xu, Jidong Yu, Jinglun Tang, Hao Johns Hopkins University Department of Electrical and Computer Engineering Baltimore United States Kunming University of Science and Technology School of Electrical Power Engineering Kunming China

ISBN: (纸本)9781665492508

Recently, with the wide application of image processing in medical research, researchers need to produce or apply datasets containing considerable numbers of images. Since image data are easy to reproduce and preserve, the abuse issues on copyright and authorship protection regarding medical image datasets continue to arise. Therefore, various watermarking techniques have been developed to protect copyright and prevent illegal copies of the image dataset. This paper proposed a watermarking scheme for medical image data based on discrete wavelet transform. We introduce the Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) to construct our watermarking scheme to its similarity to the human visual system in processing spatial information. In addition to the DWT and SVD, we adopted the Arnold transformation in the implantation and extraction process for our watermark to provide better protection than the state-of-the-art. We applied the proposed method on CHASE_DB1 dataset and ref. [10]. The experimental results demonstrate the proposed method can embed a watermark in medical images without degrading the visual quality of the original images and has high robustness to image processing attacks. © 2022 IEEE.

关键词： Discrete wavelet transforms

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MUWS'2023: The 2nd International Workshop on Multimodal Human Understanding for the Web and Social Media 23

MUWS'2023: The 2nd International Workshop on Multimodal Huma...

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32nd ACM International conference on Information and Knowledge Management (CIKM)

作者： Cheema, Gullal S. Hakimov, Sherzod Kastner, Marc A. Garcia, Noa Leibniz Univ Hannover L3S Res Ctr Hannover Germany Univ Potsdam Potsdam Germany Kyoto Univ Kyoto Japan Osaka Univ Osaka Japan

ISBN: (纸本)9798400701245

Multimodal human understanding and analysis is an emerging research area that cuts through several disciplines like computer Vision (CV), Natural Language Processing (NLP), Speech Processing, Human-computer Interaction (HCI), and Multimedia. Several multimodal learning techniques have recently shown the benefit of combining multiple modalities in image-text, audio-visual and video representation learning and various downstream multimodal tasks. At the core, these methods focus on modelling the modalities and their complex interactions by using large amounts of data, different loss functions and deep neural network architectures. However, for many Web and Social media applications, there is the need to model the human, including the understanding of human behaviour and perception. For this, it becomes important to consider interdisciplinary approaches, including social sciences, semiotics and psychology. The core is understanding various cross-modal relations, quantifying bias such as social biases, and the applicability of models to real-world problems. Interdisciplinary theories such as semiotics or gestalt psychology can provide additional insights and analysis on perceptual understanding through signs and symbols via multiple modalities. In general, these theories provide a compelling view of multimodality and perception that can further expand computational research and multimedia applications on the Web and Social media. The theme of the MUWS workshop, multimodal human understanding, includes various interdisciplinary challenges related to social bias analyses, multimodal representation learning, detection of human impressions or sentiment, hate speech, sarcasm in multimodal data, multimodal rhetoric and semantics, and related topics. The MUWS workshop will be an interactive event and include keynotes by relevant experts, poster and demo sessions, research presentations and discussion.

关键词： multimodality machine learning image-text relations social media web human understanding semiotics

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Presenting Showcases for "senseBox and openSenseMap" as a Learning Suite for computer-, Data- and Scientific Literacy 2

Presenting Showcases for "senseBox and openSenseMap" as a Le...

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2nd annual Meeting of the International Society of the Learning Sciences, ISLS 2022

作者： Pesch, Mario Bartoschek, Thomas Schwering, Angela University of Münster Germany

ISBN: (纸本)9781737330639

We will present our easy-to-use learning suite (i) that supports hands-on experience through physical computing, (ii) uses an easy-to-use visual programming interface, and (iii) relates to authentic real-world applications in environmental education and citizen science. The learning suite connects our DIY-hardware based measurement toolkit "senseBox" with a graphical programming environment and our open platform for environmental data "openSenseMap" to facilitate computational-, data-, and scientific literacy. © ISLS.

关键词： computer graphics

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Beyond the Game: Multimodal Emotion Recognition Before, During, and After Gameplay 46

Beyond the Game: Multimodal Emotion Recognition Before, Duri...

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46th annual International conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024

作者： Ganiti-Roumeliotou, Efstratia Ziogas, Ioannis Dias, Sofia B. Alhussein, Ghada Jelinek, Herbert F. Hadjileontiadis, Leontios J. Universidade de Lisboa Ciper Faculdade de Motricidade Humana Lisbon Portugal Khalifa University Biotechnology Center Dpt. of Medical Sciences Abu Dhabi United Arab Emirates Khalifa University Healthcare Engineering Innovation Group Dpt. of Biomedical Engineering Abu Dhabi United Arab Emirates Aristotle University of Thessaloniki Dpt. of Electrical & Computer Engineering Thessaloniki Greece

ISBN: (纸本)9798350371499

In the era of Human-computer Interaction (HCI), understanding emotional responses through multimodal signals during interactive experiences, such as serious games (SG), is of high importance. In this work, we explore emotion recognition (ER) by analyzing multimodal data from the 2nd Study in Bio-Reactions and Faces for Emotion-based Personalization for AI Systems (BIRAFFE-2) dataset, including data from 76 participants engaged in dynamic gameplay and pre-post audiovisual stimulations. Utilizing features derived from electrocardiogram (ECG), electrodermal activity (EDA), accelerometer, gyroscope, game logs (GL), affect dynamics and personality traits (PT) fed in different machine learning models, our study focuses on ER, achieving state-of-the-art performance across different experimental scenarios (accuracy: 0.967 for Negative Affect in Optimal Game using Support Vector Machines). This highlights the importance of emotional states as indicators for personalized HCI. Our approach offers valuable insights to understanding the interplay between multimodal physiological signals, GL, user's emotional states and PT, which could add to the design of adaptive, affect-sensitive SG. Distinct patterns in the data are revealed, particularly emphasizing the role of ECG-Derived Respiration features and the impact of past affectivity to current emotional *** relevance - By introducing innovative perspectives in affect-sensitive SG design, leveraging the analysis of multimodal signals, we foresee objective digital biomarkers that hold promise to broaden the clinical understanding of patients' emotional behavior during SG-based interventions. © 2024 IEEE.

关键词： Emotion Recognition

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Simulating Common Indoor Crowd Behaviours in 3D Environments Using ABMU 2

Simulating Common Indoor Crowd Behaviours in 3D Environments...

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2nd International conference on interactive Media, Smart Systems and Emerging Technologies, IMET 2022

作者： Cheliotis, Kostas National Technical University of Athens Laboratory of Cartography Athens Greece

ISBN: (数字)9781665470162

ISBN: (纸本)9781665470162

Being able to model common crowd behaviours is vital in architecture and similar built environment fields. This is becoming even more pressing, especially in recent years with COVID-19 having a significant impact in how we interact in indoor spaces. As such, common crowd simulation approaches such as Agent-Based Modelling (ABM) need to evolve rapidly to be able to accommodate new requirements in crowd interaction;for indoor crowds, this usually requires a model to accommodate three-dimensional spaces, as the existing 2D modelling approaches are often inadequate in capturing the nuances of crowd interaction in indoor spaces, which are inherently three-dimensional. In this paper we present an application of such a 3D ABM modelling framework through a model of queuing behaviour, a common behaviour in indoor crowds. The model is developed in three-dimensional space on the Unity3D development platform, using the Agent-Based Modelling Framework for Unity3D (ABMU). © 2022 IEEE.

关键词： Three dimensional computer graphics

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StoryScreen: a Traceability Visualisation Modelling Tool for User Stories and Conceptual Models 17

StoryScreen: a Traceability Visualisation Modelling Tool for...

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17th IFIP WG 8.1 Working conference on the Practice of Enterprise Modeling Forum, 1st International Workshop on Models for Simulation, M4S 2024, 2nd International Workshop on the Foundations and Applications of Capabilities in Enterprises, Transformations, and ESG Initiatives, FACETE 2024, Workshop on Advancing Enterprise Modelling through Digital Transformation, FAIR Data Management, and Blockchain Integration, AEM 2024, Tools and Demos, PoEM-Companion 2024

作者： Ruiz, Marcela Olgiati, Carlos Zurich University of Applied Sciences Institute of Computer Science School of Engineering Winterthur Switzerland

Requirements and conceptual model traceability is a core software engineering activity that supports decision-making during the entire software development life cycle. With traceability data sets growing, traceability visualisation techniques that properly communicate the relevant information are imperative to ensure quality, completeness, and transparency in enterprise models and information systems. We did a comparative analysis of various graphical visualisation techniques for conceptual model traceability such as graphical graphs, tabular forms, sunbursts, etc., The findings suggest that a one-size-fits-all solution does not exist because factors such as data structure, traceability purpose, and traceability-users' skills determine the level of detail, content, and type of traceability visualisation technique. As a proof of concept, this paper presents an approach towards a traceability visualization modelling tool named StoryScreen, which facilitates the visualisation of traces among user stories and conceptual models. StoryScreen allows users to identify missing traces and fix errors in conceptual models and user stories. StoryScreen provides a project management tool for user story-based projects, which includes various traceability visualisation techniques such as graphical graphs, tabular, and textual. We expect that StoryScreen will support traceability users in improving user stories and creating conceptual models employing traceability visualisations that are filterable and interactive. © 2024 Copyright for this paper by its authors.

关键词： Software design

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2nd International conference on Ubiquitous Security, UbiSec 2022

2nd International Conference on Ubiquitous Security, UbiSec ...

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2nd International conference on Ubiquitous Security, UbiSec 2022

ISBN: (纸本)9789819902712

The proceedings contain 38 papers. The special focus in this conference is on Ubiquitous Security. The topics include: Detecting Unknown Vulnerabilities in Smart Contracts with Binary Classification Model Using Machine Learning;Prototyping the IDS Security Components in the Context of Industry 4.0 - A Textile and Clothing Industry Case Study;an Aspect-Based Semi-supervised Generative Model for Online Review Spam Detection;hierarchical Policies of Subgoals for Safe Deep Reinforcement Learning;improved DeepLabV3+ based Railway Track Extraction to Enhance Railway Transportation Safety;Analysis of techniques for Detection and Removal of Zero-Day Attacks (ZDA);android Malware Detection: A Literature Review;threat Modeling in Cloud Computing - A Literature Review;listen to the Music: Evaluating the Use of Music in Audio Based Authentication;A New Signal Packing Algorithm for CAN-FD with Security Consideration;an Adversarial Sample Defense Method Based on Saliency Information;blockLearning: A Modular Framework for Blockchain-Based Vertical Federated Learning;an interactive Query Differential Privacy Protection Model Based on Big Data Analysis;decentralized Collaborative Filtering Algorithm with Privacy Preserving for Recommendation in Mobile Edge Computing;encryption Proxies in a Confidential Computing Environment;FedTA: Locally-Differential Federated Learning with Top-k Mechanism and Adam Optimization;differentially Private Clustering Algorithm for Mixed Data;impact of Reenactment Programs on Young Generation;sensor Cloud Data Privacy Protection Model Based on Collaborative Deep Learning;a Hybrid Secure Two-Party Protocol for Vertical Federated Learning;an Improved Cuckoo Search Algorithm and Its Application in Function Optimization;Empirical Likelihood for PLSIM with Missing Response Variables and Error-Prone Covariates;high-Speed Anonymous Device Authentication Without Asymmetric Cryptography in the Internet-of-Things;A-VMD: Adaptive Variational Mode Decomposition Schem

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Training StyleGAN2 on BWW-Texture Dataset: Generating Textures Through Transfer Learning 2

Training StyleGAN2 on BWW-Texture Dataset: Generating Textur...

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2nd International conference on Information and Communication Technology for Sustainable Development, ICICT4SD 2023

作者： Hossain, Md. Shahariar Hossain, Md. Safaiat Karim, Md. Barhanul BRAC University Dept. of Electrical and Electronic Engineering Dhaka Bangladesh Bangladesh Army University of Engineering and Technology Dept. of Electrical and Electronic Engineering Natore Bangladesh

ISBN: (纸本)9798350358667

Texture synthesis is a challenging problem in computer vision that aims to generate realistic and diverse images of surface patterns for applications like game development and 3D rendering. Existing methods often suffer from limitations such as low resolution, lack of details, unnatural artifacts, and inability to capture complex and periodic patterns. In this paper, we investigate each of these obstacles in a novel application of StyleGAN2-ADA, a state-of-the-art generative adversarial network (GAN), to a proprietary custom dataset (BWW-Texture) for synthesizing high-quality textures. We create a large and comprehensive dataset of texture images from three categories: wood, brick wall, and plastered wall. We train StyleGAN2-ADA on our dataset using transfer learning techniques from a pre-trained model on human faces (FFHQ). We evaluate the quality of the generated textures using a user study. Our model outperformed two popular text-based image generators: Dall. E 2 and Stable Diffusion 2.1. We also demonstrate the practicality of our model by using the generated textures in 3D graphics software. © 2023 IEEE.

关键词： Generative adversarial networks

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Formal Training of University Students with the Application of the Arduino Platform for Engineering Problem Solving 5

Formal Training of University Students with the Application ...

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5th IEEE International conference on Modern Electrical and Energy System, MEES 2023

作者： Lubko, Dmytro Zinovieva, Olga Tsyganenko, Mykhailo Romanashenko, Oleksandr Dmytro Motornyi Tavria State Agrotechnological University Melitopol Department of Computer Science Zaporozhye Region Ukraine State Biotechnological University Department of Optimization of Technological Systems Kharkiv Ukraine

ISBN: (纸本)9798350359787

The aim of the work is to consider the formal training of university students using the Arduino platform for engineering problem solving. The other purpose of the work is the research is to use interactive technologies and to improve the practical experience of students in the process of educational internship at the end of the 2nd year of study of a higher educational institution, to deepen their scientific and practical skills through the use of the Arduino platforms. The article considers the issue of improvement of students' practical experience in the course of educational internship using the Arduino microcontroller for engineering problems solving. The proposed method to conduct the educational internship is an element of interactive learning techniques that will allow students to deepen their knowledge, acquire and consolidate their practical experience, and to turn the student into an active participant in the learning process, showing their initiative and revealing creative and intellectual potential. The computerized soil irrigation system developed by students during their internship will allow to analyze the quality of plants growth and prevent their disease. The article compares the operation of a YL69 sensor and a capacitive humidity sensor. The created automated system can be expanded both systematically (for any agrarian enterprises) and functionally (to increase the number of sensors for the development by students in the process of internship), as well as to use this technology for other specialized tasks. Development of any automated systems based on microcontrollers is of a huge potential for IT professionals. All this will provide a great deal of practical experience for future IT professionals who will do real practical work, as well as improve the quality and yield of cultivating different crops which will bring significant profit. © 2023 IEEE.

关键词： Students

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