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Research and Application of AI-Enabled Education 9th

Research and Application of AI-Enabled Education

引用

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

作者： Wang, Zhanquan Tian, Yuxin Chen, Rui Kong, Linghe School of Computer and Information Technology East China University of Science and Technology Shanghai200237 China School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai200241 China

ISBN: (纸本)9789819959709

Artificial intelligence technology has developed rapidly in various fields and has been widely used. Education and teaching are also areas in which artificial intelligence is applied. Research on artificial intelligence-enabled (AI-enabled) education and teaching is emerging, such as educational data mining and intelligent assisted teaching systems. First, research on AI-enabled education is introduced, and then the differences between AI-enabled education and traditional education and cases of educational data mining, learning prediction, learning resource recommendation, and various intelligent-assisted teaching systems are analysed. Our existing research results and future development are proposed, such as research on online learning session dropout prediction and the design and implementation of the zhixin teaching assistance system. Finally, this paper concludes that artificial intelligence has been well integrated into education and teaching activities in various ways and has improved students’ learning experience and teachers’ teaching quality. AI-enabled education and teaching is efficient and will play an increasingly important role. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Data mining

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Liver Tumor Segmentation From Computed Tomography Images through Convolutional Neural Networks 9

Liver Tumor Segmentation From Computed Tomography Images Thr...

引用

9th international conference on Systems and Informatics, ICSAI 2023

作者： Mitrea, Delia Timu, Vlad Mocan, Cristinel-Mihai Nedevschi, Sergiu Florian, Andrei-Vlad Socaciu, Mihai Badea, Radu Technical University of Cluj-Napoca Computer Science Department Cluj-Napoca Romania Technical University of Cluj-Napoca Design Egineering and Robotics Department Cluj-Napoca Romania I. Haieganu University of Cluj-Napoca Medical Imaging Department Cluj-Napoca Romania

ISBN: (纸本)9798350383706

Cancer is a severe affection nowadays, leading to death in many situations. Among the liver tumors, the most often met is Hepatocellular Carcinoma (HCC), being present for 75% of the primary liver cancer patients. Despite its' invasive character, the most reliable cancer diagnosis method is biopsy. For performing both non-invasive and accurate disease assessment, computerized techniques are required. Tumor semantic segmentation is useful in this context, achieving tumor detection, localization, and extension estimation at the same time. In our current research, we developed and comparatively assessed high performance methods for segmenting liver tumor, based on Convolutional Neural Networks (CNN), as UNet, UNet++ and DeepLabV3+, involving two CT image datasets in our experiments. the assessment was performed by considering both the polar and cartesian image representations. At the end, a maximum DICE value of 80.92%, a maximum IoU value of 69.55%, respectively a maximum accuracy value of 99.82% resulted. © 2023 IEEE.

关键词： Semantic Segmentation

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Application of Layered Technology in computer Software design

Application of Layered Technology in Computer Software Desig...

引用

international conference on Network and Information Systems for computers (ICNISC)

作者： Langfeng Shi Wuhan Railway Vocational College of Technology Wuhan China

Under the background of the current era, the development of computer software design work has become the main direction of industry development, and the application of layered technology is an important content in the development of software design work. In the actual application process, there is a close relationship between layering technology and computer software design. Only by combining them effectively can we lay a solid foundation for improving the quality of software design. Based on this, on the basis of explaining the principles of computer software design, this article discusses the application strategy of layering technology in computer software design from two aspects of system and function, aiming to provide some reference for relevant staff. Experimental results show that the design efficiency of computer software design can reach the highest 89.8% by using layered technology.

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Digital Forensics Investigation and Incident Response in Internet of things (IoT-DFIR): Challenges and Models 9

Digital Forensics Investigation and Incident Response in Int...

引用

9th international conference on Wireless and Telematics, ICWT 2023

作者： Ahdan, Syaiful Zaki Hamidi, Eki Ahmad Riskiono, Sampurna Dadi Negara, Ridha Muldina Mayasari, Ratna Ramadona, Suci Nurhayati, Ade Sucipto, Adi Jupriyadi Nurkahfi, Galih Nugraha Farahiyah, Dzata Naseer, Muchammad Universitas Teknokrat Indonesia Faculty of Engineering & Computer Science Lampung35132 Indonesia Uin Sunan Gunung Djati Bandung Electrical Engineering Department Bandung40614 Indonesia School of Electrical Engineering Telkom University Bandung40257 Indonesia Elearical Engineering Study Program Politeknik Caltex Riau Riau28265 Indonesia Institut Teknologi Telkom Jakarta Faculty of Engineering Jakarta11710 Indonesia Bandung40135 Indonesia Universitas Islam Indonesia Yogyakarta Faculty of Industrial Technology Yogyakarta55584 Indonesia Sekolah Tinggi Teknologi Bandung Informatics Department Bandung40235 Indonesia

ISBN: (纸本)9798350305029

Many different industries are currently making substantial use of the Internet of things (IoT). IoT is the process through which electronic devices communicate with their surrounding virtual environment by continuously exchanging data via sensors. Due to increased IoT security concerns, digital forensic investigators now possess greater knowledge and abilities to investigate IoT devices. IoT-DigFor are required in terms of cybercrime due to the rapid growth in the number of electronic devices and the collection and consumption of enormous amounts of data. IoT systems with billions of devices have produced a significant amount of evidence, which presents a significant challenge to digital investigators and practitioners who must connect with IoT devices to conduct fast and thorough investigations into cybercrimes. this article presents detailed information about forensics in the IoT environment. the IoT forensic paradigm and the challenges that design-based security requirements and IoT system security offer for IoT-DigFor are covered in great detail at the beginning of the article. © 2023 IEEE.

关键词： Internet of things

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Lessons from a COVID-Era Controlled Trial of Online Learning and Socializing with Older Participants: Benefits of Applying Consolidated Standards of Reporting Trials 9th

Lessons from a COVID-Era Controlled Trial of Online Learning...

引用

9th international conference on Human Aspects of IT for the Aged Population, ITAP 2023, held as part of the 25th international conference on Human-computer Interaction, HCII 2023

作者： Khalili-Mahani, Najmeh Petersen, Berkley Hebblethwaite, Shannon engAGE: Concordia Centre for Research on Aging Montreal Canada Department of Design and Computation Arts Concordia University MontrealQC Canada McGill Centre for Integrative Neuroscience McGill University MontrealQC Canada Department of Psychology Concordia University MontrealQC Canada Department of Applied Human Sciences Concordia University MontrealQC Canada

ISBN: (纸本)9783031348655

Randomized Controlled Trials (RCTs) are the gold standard in health intervention research. However, in lifestyle intervention studies, this methodology is often challenged by the complexity of personal and contextual factors, which are hard to control. To address this challenge, researchers have adopted Consolidated Standards of Reporting Trials (CONSORT) as a framework to rank the quality of RCTs based on detailed documentation of the design, methodology, and results of the study. In this paper, we present a case study to demonstrate benefits of adopting CONSORT as a framework for designing and conducting a trial to investigate the affordances of information and communication technologies (ICT) in lifestyle interventions. Framed as a randomized controlled trial, our study targeted healthy community-dwelling older adults in Montreal. the study took place between Oct 2021-July 2022 and included qualitative and quantitative data collection, about the benefits of online-learning (digital photography), and on-Zoom group discussions. All pre-post psychometric assessments and interviews were conducted on zoom. We evaluate our study to illustrate: (i) To what extent such RCT design, methodology and reporting can satisfy CONSORT;(ii) Which factors contribute to trials deviations from the CONSORT framework;and (iii) What data acquisition strategies maximize the benefits of applying the CONSORT framework. Our analysis indicate that CONSORT provides a frame within which one can flexibly document and contextualize the dynamics of how ICT interventions could benefit their target population. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Data acquisition

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DevelSet: Deep Neural Level Set for Instant Mask Optimization 40

DevelSet: Deep Neural Level Set for Instant Mask Optimizatio...

引用

40th IEEE/ACM international conference on computer aided design (ICCAD)

作者： Chen, Guojin Yu, Ziyang Liu, Hongduo Ma, Yuzhe Yu, Bei Chinese Univ Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781665445078

With the feature size continuously shrinking in advanced technology nodes, mask optimization is increasingly crucial in the conventional design flow, accompanied by an explosive growth in prohibitive computational overhead in optical proximity correction (OPC) methods. Recently, inverse lithography technique (ILT) has drawn significant attention and is becoming prevalent in emerging OPC solutions. However, ILT methods are either time-consuming or in weak performance of mask printability and manufacturability. In this paper, we present DevelSet, a GPU and deep neural network (DNN) accelerated level set OPC framework for metal layer. We first improve the conventional level set-based ILT algorithm by introducing the curvature term to reduce mask complexity and applying GPU acceleration to overcome computational bottlenecks. To further enhance printability and fast iterative convergence, we propose a novel deep neural network delicately designed with level set intrinsic principles to facilitate the joint optimization of DNN and GPU accelerated level set optimizer. Experimental results show that DevelSet framework surpasses the state-of-the-art methods in printability and boost the runtime performance achieving instant level (around 1 second).

关键词： Deep learning Runtime Optical design Level set Neural networks graphics processing units Metals

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"I am disappointed with your results!": the effects of a pedagogical agent's negative affective feedback on mental effort and learning performance 23

"I am disappointed with your results!": The effects of a ped...

引用

9th international conference on Frontiers of Educational Technologies, ICFET 2023

作者： Liew, Tze Wei Tan, Su-Mae Gan, Chin Lay Faculty of Business Multimedia University Malaysia Faculty of Information Science & Technology Multimedia University Malaysia

ISBN: (纸本)9798400707353

An instructor may express disappointment in the educational milieu when learning effort and performance do not meet expectations. the socio-emotive feedback can signal to learners that more effort is warranted to reduce the gap between the current achievement and optimal expectations. In this study, we examine if a pedagogical agent's expressing disappointment as affective feedback to learners' prior achievement can enhance mental effort and learning performance in a multimedia learning environment. To this end, two experiments were conducted where learners interacted with either the disappointed or neutral agent that teaches enterprise resource planning systems concepts (Experiment 1) and programming algorithm concepts (Experiment 2). Experiment 1 demonstrated that learners had higher transfer performance when a cartoonish female agent expressed disappointment than neutral affective feedback. Experiment 2 found that compared to a neutral expression, disappointment expression by a realistic male agent enhanced invested mental effort for male and female learners but decreased the learning transfer performances among the male learners. this study offers theoretical and practical implications and provides recommendations for future research to examine the potential benefits of a pedagogical agent's negative socio-emotive cues. © 2023 ACM.

关键词： computer aided instruction

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Artificial Intelligence and Positive Change inorganizational Learning Environment between 2010-2021: A Bibliometric Analysis 23

Artificial Intelligence and Positive Change inorganizational...

引用

9th international conference on e-Society, e-Learning and e-Technologies, ICSLT 2023

作者： Shubina, Ivanna Kwiatek, Piotr Wittenborg University of Applied Sciences Netherlands

ISBN: (纸本)9798400700415

the development of Artificial Intelligence (AI) in learning atorganizational conditions has been enhanced significantly during the past decade. thus, to investigate how research on those techniques is reflected in the current literature, the authors planned various research settings for current and further studies. this bibliometric study aims to explore the scientific patterns of AI and its positive change in anorganizational learning environment and analyze the findings to suggest further studies in an emerging research field. the patterns, trends, associations, and scientific developments have been explored with the help software. A total of 85 relevant studies were found in the research domains and were retrieved with the LENS software. Most of the papers were written in the English by 100 authors from 29 different countries. the three top countries leading in citations productivity are United Kingdom, United Stated and Australia. Descriptive characteristics of the publications show a significant increase in their numbers with noticeable prevalence of psychology and social psychology fields of study. the main contribution of the findings indicates that the appliance of AI in a learning environment enhances the positive change among individuals, reduces the resistance for change, and improves life skills and competences. the current study will be useful for researchers to obtain an overview of the publication trends in research domains for planning and conducting further studies, and it shows the potential gaps in those fields. © 2023 ACM.

关键词： computer aided instruction

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Sperm-cell Detection Using YOLOv5 Architecture 9th

Sperm-cell Detection Using YOLOv5 Architecture

引用

9th international Work-conference on Bioinformatics and Biomedical Engineering (IWBBIO)

作者： Dobrovolny, Michal Benes, Jakub Krejcar, Ondrej Selamat, Ali Univ Hradec Kralove Fac Informat & Management Ctr Basic & Appl Res Hradec Kralove Czech Republic Univ Teknol Malaysia Kuala Lumpur Malaysia Japan Int Inst Technol MJIIT Jalan Sultan Yahya Petra Kuala Lumpur 54100 Malaysia Univ Teknol Malaysia UTM Sch Comp Fac Engn Skudai 81310 Malaysia

ISBN: (纸本)9783031078026;9783031078019

Infertility has become a severe health issue in recent years. Sperm morphology, sperm motility, and sperm density are the most critical factors in male infertility. As a result, sperm motility, density, and morphology are examined in semen analysis carried out by laboratory professionals. However, applying a subjective analysis based on laboratory observation is easy to make a mistake. To reduce the effect of specialists in semen analysis, a computer-aided sperm count estimation approach is proposed in this work. the quantity of active sperm in the semen is determined using object detection methods focusing on sperm motility. the proposed strategy was tested using data from the Visem dataset provided by Association for Computing Machinery. We created a small sample custom dataset to prove that our network will be able to detect sperms in images. the best not-super tuned result is mAP 72.15.

关键词： Sperm-cell detection Small-object detection Yolo computer-aided sperm analysis

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Development of a 3D Modelling Gallery Based on Virtual Reality 9th

Development of a 3D Modelling Gallery Based on Virtual Reali...

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9th international conference of the Immersive Learning Research Network, iLRN 2023

作者： Xu, Zhaoyu Huang, Mengjie Yang, Rui Wang, Liu Liu, Yixin School of Advanced Technology Xi’an Jiaotong-Liverpool University Suzhou China Design School Xi’an Jiaotong-Liverpool University Suzhou China School of Engineering University of Liverpool Liverpool United Kingdom

ISBN: (纸本)9783031473272

Virtual reality (VR) technology has been widely applied in various fields, including entertainment, healthcare and education. In design and engineering education, VR technology shows the potential to improve traditional education practices by enhancing creativity and motivation through immersive learning experiences. With the interactive features and high-quality scenes provided by VR, the students’ learning of 3D modelling in design and engineering disciplines may be highly motivating. this paper aims to develop a 3D modelling gallery based on VR to assist design and engineering students in learning 3D modelling. the system offers two main features, a virtual campus scene and a practice showcase, which allow students to explore and understand the modelling process of 3D models in a virtual environment. the integration of the 3D Modelling Gallery into the curriculum can help deepen students’ understanding of 3D modelling, break the limitations of traditional teaching, and increase students’ learning interest in 3D modelling. © 2024, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： 3D modeling

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