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2nd International Conference on Next-Generation Computing and Information Systems, ICNGCIS 2023

作者： Kumar, Pramod Vashishtha, Ela Alghayadh, Faisal Yousef Wasim Bhatt, Mohammed Bala, Suchitra Sreejitha, T.S. Computer Science and Technology Ganga Institute of Technology and Management Haryana Kablana Jhajjar India Lead Analytics Texas Health Resources TX United States Computer Science and Information Systems Department College of Applied Sciences AlMaarefa University Riyadh Saudi Arabia Model Institute of Engineering and Technology J&K Jammu India ICT & Cognitive Systems Sri Krishna Arts and Science College India St. Marys College Thrissur India

ISBN: (纸本)9781032738659

Research the mechanism of fake news refuting rumors in the real social network environment. Propose methods to evaluate the effect of rumor refuting and explore the factors that affect the impact of rumor refuting. Based on the current research results and assumptions, eight factors that affect the effect of rumor refuting are summed up, such as the proportion of the original fake news content. Experiments were conducted based on the rumor-refuting Weibo data. The experimental analysis showed that the proportion of the original fake news in the rumor-refuting information was negatively correlated with the rumor-refuting effect, and the explanation was positively correlated with the rumor-refuting effect suggestions for refuting rumors, including explaining why the original fake news is wrong to guiding social network fake news denying rumors. © 2025 The Author(s).

关键词： Sentiment analysis

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A Systematic Literature Review of Recent Trends and Challenges in Digital Twin Implementation 10

A Systematic Literature Review of Recent Trends and Challeng...

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10th International Conference on ICT for Smart Society, ICISS 2023

作者： Arin, Ikrar Adinata Meyliana Warnars, Harco Leslie Hendric Spits Murad, Dina Fitria Bina Nusantara University BINUS Graduate Program Doctor of Computer Science Computer Science Department Jakarta Indonesia School of Information Systems Bina Nusantara University Information System Department Jakarta Indonesia Bina Nusantara University BINUS Online Learning Information Systems Department Jakarta Indonesia

ISBN: (纸本)9798350339543

This paper reviews the latest trends and challenges in implementing digital twin technology. A digital twin is a tool used in various industries to improve efficiency, optimize processes, and enable advanced analysis. The review involved searching major research databases and search engines for articles published between 2018 and 2023. The findings reveal several important trends, including the development of different types of digital twin dimensions, each with its own advantages and limitations. The benefits of digital twin implementation include improved decision-making, increased productivity, and operational efficiency. However, there are challenges, such as data integration, security and privacy concerns, a lack of standardization, and the need for experts to effectively design and operate digital twins. The implications of these trends and challenges are discussed regarding their impact on the successful adoption and implementation of digital twin technology. The review also highlights the need to address these challenges and explore new approaches for maximizing the benefits of digital twin technology. Overall, this comprehensive review is a valuable resource for researchers, practitioners, and organizations seeking to understand the current landscape, identify areas for improvement, and make informed decisions when implementing digital twin technology. © 2023 IEEE.

关键词： Decision making

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Haters Fat: Mobile Health Application to Help the Productive Young Generation Achieve a Healthy Life 10

Haters Fat: Mobile Health Application to Help the Productive...

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10th International Conference on ICT for Smart Society, ICISS 2023

作者： Zakiyyah, Mutiara Indah Pramono, Andi Santosa, Rifaldy Galih Purnomo, Agung Maulana, Fairuz Iqbal Agustina, Ira Audia BINUS Business School Undergraduate Program Bina Nusantara University Entrepreneurship Department Jakarta11480 Indonesia School of Design Bina Nusantara University Interior Design Department Jakarta11480 Indonesia School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350339543

The study examines how young people's health-related behaviors have changed due to access to mobile health (mHealth) technology when looking for health information and services. The authors emphasize that risky health practices among young people, such as a poor diet, lack of activity, and late-night sleeping habits, make them more susceptible to physical and mental problems. This quantitative descriptive study aims to ascertain the opinions and preferences of the Surabaya-Area sports community in the Health and Fitness category of the Android OS mobile application. The method employed is a survey utilizing web-based questions for data collection. The questionnaire results were examined by quantitative descriptive analysis techniques and displayed as percentages. The Haters Fat application is a prototype with the primary function as a learning medium to carry out health activities, monitoring, and various health services offered. This prototype starts with making activity diagrams and continues with wireframes for smartphone displays. Furthermore, the prototype was developed considering the user interface (UI) and user experience (UX). It was discovered that most respondents had a favorable opinion of the Android operating system's health and fitness category of smartphone applications. 22.6% of respondents had accurate categorization views based on the investigation. The smartphone applications in the fitness and health category for the Android operating system received only a superficial evaluation from 30.6% and 4.8% of respondents, respectively. Most survey participants are intensely interested in the health-related Android smartphone application. The majority of respondents, in contrast, have limited perceptions. © 2023 IEEE.

关键词： Android (operating system)

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Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks 39

Plug & Play Attacks: Towards Robust and Flexible Model Inver...

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39th International Conference on Machine Learning, ICML 2022

作者： Struppek, Lukas Hintersdorf, Dominik De Almeida Correia, Antonio Adler, Antonia Kersting, Kristian Department of Computer Science Technical University of Darmstadt Germany Universität der Bundeswehr München Munich Germany Centre for Cognitive Science TU Darmstadt Germany Germany

Model inversion attacks (MIAs) aim to create synthetic images that reflect the class-wise characteristics from a target classifier's private training data by exploiting the model's learned knowledge. Previous research has developed generative MIAs that use generative adversarial networks (GANs) as image priors tailored to a specific target model. This makes the attacks time- and resource-consuming, inflexible, and susceptible to distributional shifts between datasets. To overcome these drawbacks, we present Plug & Play Attacks, which relax the dependency between the target model and image prior, and enable the use of a single GAN to attack a wide range of targets, requiring only minor adjustments to the attack. Moreover, we show that powerful MIAs are possible even with publicly available pre-trained GANs and under strong distributional shifts, for which previous approaches fail to produce meaningful results. Our extensive evaluation confirms the improved robustness and flexibility of Plug & Play Attacks and their ability to create high-quality images revealing sensitive class characteristics. Copyright © 2022 by the author(s)

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Distributed Services for Pavement Anomaly Detection in Smart Roads

Distributed Services for Pavement Anomaly Detection in Smart...

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IEEE International Workshop on Measurements and Networking Proceedings (M&N)

作者： Annamaria Ficara Maria Fazio Orazio Pellegrino Alessia Ruggeri Armando Ruggeri Giuseppe Sollazzo Gaetano Bosurgi Department of Cognitive Science Education and Cultural Studies University of Messina Italy Department of Mathematics Computer Science Physics and Earth Science University of Messina Italy Department of Engineering University of Messina Italy

ISBN: (数字)9798350370539

ISBN: (纸本)9798350370546

Digital transition is characterizing all the components of our world. Considering transport infrastructures, for maximizing safety and comfort of users while driving, the exploitation of multiple powerful sensors and data analysis capabilities is a primary research and development goal. In this context, the digital road transport infrastructures (“Smart Roads”) will represent complex and integrated systems combining physical and digital assets for ensuring roads with information, sensing, and acting capabilities. In view of these goals and this transition, the management of the asset condition plays a strategic role, especially considering road physical components and, mainly, the pavement, on which vehicles move. In this paper, accordingly, the authors describe a methodological approach for implementing an innovative architecture of advanced digital services in Smart Roads, based on the distributed computing paradigms of Edge and Cloud. This approach combines continuous and multiple data acquired by reliable, simple, smart, and connected sensors in vehicles on a cloud-based management platform to estimate the pavement “health-state”. This may significantly improve control of condition of the asset critical segments, for optimizing planning of more accurate high-performance survey and, thus, implement maintenance and rehabilitation programs.

关键词： Surveys Data analysis Roads Sensor phenomena and characterization Real-time systems Maintenance Safety

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Bibliometric Analysis of Smart Technology for Virtual Museum Research 9

Bibliometric Analysis of Smart Technology for Virtual Museum...

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9th IEEE International Conference on Computing, Engineering and Design, ICCED 2023

作者： Carollina, Donna Purbasari, Mita Sidharta Bina Nusantara University School of Design Visual Communication Design Department Jakarta Indonesia Bina Nusantara University Graphic Design & New Media Program Visual Communication Design Department Jakarta Indonesia Bina Nusantara University School of Computer Science Computer Science Department Jakarta Indonesia

ISBN: (纸本)9798350370126

In recent years, the development of intelligent technology has had a significant impact on the development of virtual museums. Therefore, knowledge mapping is needed to describe and analyze trends, implementation, and benefits of using smart technology in virtual museums. This study used bibliometric methods. The results is smart technology for virtual museum research tends to a downward trend in research productivity. The productive year for this study was 2019. While the type of documents related to this research on Scopus indexation is dominated by conference papers with 51 documents or 63.7%. The dominant publication source for this research is Lecture Notes in computer science including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics with 11 documents. The affiliation with the most documents is MARA University of Technology with 2 documents, and the most productive country in this study is China with 15 documents. From the results of research mapping, it was found that research in the field of smart technology for virtual museums still has great opportunities to be applied to applicable themes such as the application of local wisdom content that can enrich research topics. © 2023 IEEE.

关键词： Mapping

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Scheduled Sampling for Recursive Multi-Step GPU Temperature Forecasting

Scheduled Sampling for Recursive Multi-Step GPU Temperature ...

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International Conference on Machine Learning and Applications (ICMLA)

作者： Harold Wang Xunfei Jiang Mahdi Ebrahimi Department of Cognitive Science University of California San Diego San Diego CA Department of Computer Science California State University Northridge Northridge CA

ISBN: (数字)9798350374889

ISBN: (纸本)9798350374896

Energy-efficient workload management is increasingly important in data centers as demand for cloud computing continues to grow. Recent findings in workload management point to thermal-aware load balancers as an effective approach to reduce energy consumption via cooling costs. Due to the high energy cost of Data Centers (DCs) and possible risk of disrupting critical services, simulations can be used to evaluate temperature-aware load-balancing algorithms. In this paper, we leverage an existing DC simulator's environmental parameters for integrating a temperature prediction model to construct a temperature-aware workload distribution simulation. Using scheduled sampling, we implemented a custom recursive multi-step forecasting model that reduced the discrepancy between training error and simulation predictions. Compared with a baseline GPU temperature prediction model, our hybrid CNN-LSTM model achieved a reduction in RMSE from 2.54 to 0.73.

关键词： Training Data centers Temperature distribution Costs Graphics processing units Predictive models Thermal management Thermal loading Forecasting Load modeling

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Learning Channels to Support Interaction and Collaboration in CourseMapper 22

Learning Channels to Support Interaction and Collaboration i...

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Proceedings of the 14th International Conference on Education Technology and computers

作者： Qurat Ul Ain Mohamed Amine Chatti Shoeb Joarder Ilia Nassif Benjamine Stella Wobiwo Teda Mouadh Guesmi Rawaa Alatrash Social Computing Group Department of Computer Science and Applied Cognitive Science University of Duisburg-Essen Germany

ISBN: (纸本)9781450397766

Massive Open Online Courses (MOOCs) have proved to be revolutionary in the development and widespread of educational technology over the past few years. It has been identified that these systems, despite all the benefits, lack interaction and collaboration around learning materials. This paper explores how to leverage learning channels to support interaction and collaboration in MOOC environments. We present the design, implementation, and evaluation details of learning channels in CourseMapper, a MOOC platform which supports collaboration and interaction around learning materials using collaborative Pdf and video annotations. More specifically, we report on the application and results of a human-centered design (HCD) approach used to systematically design learning channels. Three design iterations with five new users in each iteration (N=15) were conducted from an initial user interview to the final design. After the development, user experience with the system was evaluated with end users (N=10) based on the Technology Acceptance Model (TAM). The evaluation results show that the introduction of learning channels provides a valuable mechanism to support effective interaction and collaboration in a MOOC environment.

关键词： Human-Centered Design (HCD) Technology-Enhanced Learning (TEL) Learning channels Collaborative annotation Collaborative learning Massive Open Online Course (MOOC)

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XLS-R Deep Learning Model for Multilingual ASR on Low- Resource Languages: Indonesian, Javanese, and Sundanese

arXiv

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arXiv 2024年

作者： Arisaputra, Panji Handoyo, Alif Tri Zahra, Amalia Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program Bina Nusantara University Jakarta11480 Indonesia

This research paper focuses on the development and evaluation of Automatic Speech Recognition (ASR) technology using the XLS-R 300m model. The study aims to improve ASR performance in converting spoken language into written text, specifically for Indonesian, Javanese, and Sundanese languages. The paper discusses the testing procedures, datasets used, and methodology employed in training and evaluating the ASR systems. The results show that the XLS-R 300m model achieves competitive Word Error Rate (WER) measurements, with a slight compromise in performance for Javanese and Sundanese languages. The integration of a 5-gram KenLM language model significantly reduces WER and enhances ASR accuracy. The research contributes to the advancement of ASR technology by addressing linguistic diversity and improving performance across various languages. The findings provide insights into optimizing ASR accuracy and applicability for diverse linguistic contexts. © 2024, CC BY-SA.

关键词： Linguistics

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SYSTEMS WITH SWITCHING CAUSAL RELATIONS: A META-CAUSAL PERSPECTIVE

arXiv

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arXiv 2024年

作者： Willig, Moritz Tobiasch, Tim Nelson Busch, Florian Peter Seng, Jonas Dhami, Devendra Singh Kersting, Kristian Department of Computer Science Technical University of Darmstadt Germany Dept. of Mathematics and Computer Science Eindhoven University of Technology Netherlands Centre for Cognitive Science Technical University of Darmstadt Germany Germany

Most work on causality in machine learning assumes that causal relationships are driven by a constant underlying process. However, the flexibility of agents’ actions or tipping points in the environmental process can change the qualitative dynamics of the system. As a result, new causal relationships may emerge, while existing ones change or disappear, resulting in an altered causal graph. To analyze these qualitative changes on the causal graph, we propose the concept of meta-causal states, which groups classical causal models into clusters based on equivalent qualitative behavior and consolidates specific mechanism parameterizations. We demonstrate how meta-causal states can be inferred from observed agent behavior, and discuss potential methods for disentangling these states from unlabeled data. Finally, we direct our analysis towards the application of a dynamical system, showing that meta-causal states can also emerge from inherent system dynamics, and thus constitute more than a context-dependent framework in which mechanisms emerge only as a result of external factors. Copyright © 2024, The Authors. All rights reserved.

关键词： Adversarial machine learning

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