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Globally Harmonized System Label detection using Color Segmentation 2

Globally Harmonized System Label detection using Color Segme...

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2nd International Conference on Cybernetics and Innovations, ICCI 2023

作者： Pinthong, Thidarat Ketcham, Mahasak Ganokratanaa, Thittaporn Pramkeaw, Patiyuth Chumuang, Narumol Phetchaburi Rajabhat University Department. of Business Information Management Phetchaburi Thailand King Mongkut's University of Technology North Bangkok Department of Information Technology Management Bangkok Thailand King Mongkut's University of Technology Thonburi Applied Computer Science Program Bangkok Thailand King Mongkut's University of Technology Thonburi Media Technology Program Bangkok Thailand Muban Chombueng Rajabhat University Department of Digital Media Technology Ratchaburi Thailand

ISBN: (纸本)9798350336573

This paper presents an approach for color detection and segmentation based on Image Processing Process to retrieve candidate regions of GHS Sign. For color classification, where the dimension of each vector can be extended by a group of neighboring pixels. The experimental results are highly accurate and robust for our testing database, where samples are recorded on various states of environment. But in the meantime, it was found that the error processing. It is an image that looks asymmetrical image. It is impossible to detect the symbol GHS. © 2023 IEEE.

关键词： Geographic information systems

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Pillow for Detecting Snoring with Embedded Techniques for Elderly People with Snoring Problems 2

Pillow for Detecting Snoring with Embedded Techniques for El...

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2nd International Conference on Cybernetics and Innovations, ICCI 2023

作者： Yimyam, Worawut Ketcham, Mahasak Ganokratanaa, Thittaporn Pramkeaw, Patiyuth Chumuang, Narumol Phetchaburi Rajabhat University Department. of Business Information Management Phetchaburi Thailand King Mongkut's University of Technology North Bangkok Department of Information Technology Management Bangkok Thailand King Mongkut's University of Technology Thonburi Applied Computer Science Program Bangkok Thailand King Mongkut's University of Technology Thonburi Media Technology Program Bangkok Thailand Muban Chombueng Rajabhat University Department of Digital Media Technology Ratchaburi Thailand

ISBN: (纸本)9798350336573

This research aimed to design, produce, and assess a snoring detection neck pillow for elderly individuals with snoring symptoms. The research process began with finding information on snoring. The data obtained were used to design a snore detection neck pillow in the form of a U-shaped neck pillow. The functional principle was that when the microphone module detects the snoring sound, it activates a vibrating motor to alert the snorer to awake or change sleeping positions and stop snoring. There was a program to control the operation. The results of the snoring detection neck pillow test with a sample size of 20 people showed an average efficiency of 80%. © 2023 IEEE.

关键词： Internet of things

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Smart Agricultural Greenhouses for Earthworm Farming 2

Smart Agricultural Greenhouses for Earthworm Farming

引用

2nd International Conference on Cybernetics and Innovations, ICCI 2023

ISBN: (纸本)9798350336573

In this research, the design of the earthworm rearing house was presented. Internet of Things, in which the research has designed houses and various equipment to be designed. The results showed that the traditional way of raising earthworms by walking to check the humidity in the cultured basin by touching and regularly watering compared to using the IOT system to measure the moisture. And there is a notification when the humidity drops below or above the specified threshold. and has an automatic watering system when the humidity is below a specified threshold It was found that the IOT-based method was more productive than the traditional method. © 2023 IEEE.

关键词： Greenhouses

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Threats, Risks, and Mitigations in Cloud Computing Environment

Threats, Risks, and Mitigations in Cloud Computing Environme...

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International Conference on Informatics and Computing (ICIC)

作者： Nur Chalik Azhar Muhammad Zarlis Yulyani Arifin Benfano Soewito Computer Science Department BINUS Graduate Program - Computer Science Bina Nusantara University Jakarta Indonesia Information System Management Department Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798331517601

ISBN: (纸本)9798331517618

Cloud computing has many benefits in various sectors. However, there are threats such as malware, data loss, and misuse of access rights, as well as risks, that occur in the cloud computing environment. This study aims to identify and further explore the types of threats, risks, and mitigation strategies in the cloud computing environment, as well as what risk mitigation components are needed to mitigate risks in the cloud computing environment. This research method uses Kitchenham because it is commonly used to conduct systematic literature reviews (SLR). Sources only refer to journals and proceedings indexed in the IEEE Explorer, scienceDirect, Springer, ACM Digital Library, Wiley Online Library, and Emerald Insight database. The results of this study identified 173 papers based on keywords, 68 papers based on titles, and abstracts, and produced 59 selected papers based on inclusion and exclusion criteria, where the type of threat produced 20 findings, the type of risk 11 findings, and risk mitigation strategies 13 findings, and produced 4 findings for risk mitigation components. Based on the findings, it can be used to mitigate risks in the cloud computing environment.

关键词： Cloud computing Databases Prevention and mitigation Permission Libraries Malware Informatics Risk mitigation Systematic literature review

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Remote internetworking laboratory

Remote internetworking laboratory

引用

113th Annual ASEE Conference and Exposition, 2006

作者： Jabbour, Imad Haydamous, Linda Kazan, Wissam Hayek, Amine Massachusetts Institute of Technology United States Information Technology Program MIT United States MIT's Center for Educational Computing Initiatives IEEE New Jersey Institute of Technology United States Engineering Management Program New Jersey Institute of Technology United States Operations Research Stanford University United States Computer Science Program Stanford University United States

Remote experimentation is the process of conducting real lab experiments without being physically in contact with lab devices. Recently, the development of Internet technologies fostered the spread of online laboratories, and significant benefits helped establish remote experimentation as a potential substitute to real experimentation. Internetworking lab experiments usually involve very expensive hardware;and providing remote access to this type of laboratories is highly desired, especially when a large number of students must share a limited set of devices. Very few remote internetworking laboratories have previously been implemented, and they had several drawbacks. In this paper, we discuss our design of a Remote Internetworking Laboratory which provided access to the internetworking lab at the American University of Beirut (AUB). The uniqueness of our approach is that it uses VLANs (Virtual LANs) to build network topologies, a technique that separates network subnets into different broadcast domains before allowing users to configure each lab device. The proposed scheme overcomes the limitations of other designs, and allows users to build any desired network topology and configure the lab devices in real-time. Many technical and educational features were integrated into the system, and possible enhancements were suggested based on several evaluation criteria. © American Society for Engineering Education, 2006.

关键词： Network architecture

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Agile Methods for ERP Implementation: A Systematic Literature Review

Agile Methods for ERP Implementation: A Systematic Literatur...

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International Conference on information management and Technology (ICIMTech)

作者： Santo Fernandi Wijaya Harjanto Prabowo Raymondus Raymond Kosala Meyliana Information Systems Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Management Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Information Systems Department School of Information Systems Bina Nusantara Universit Jakarta Indonesia

Since ERP solution facilitates has changed in business environment and also has helped in supporting managerial level to make decision. Therefore, ERP system is important strategy for organization's survival. One of the critical issues that affect a successful ERP implementation is the implementation method. In previous research, it showed that many organizations had faced complexity when they were implementing ERP in order to meet their requirements. In other cases, the ERP systems are unable to provide solution which is a simplicity of the necessary business processes. The ERP implementation complexity is one of the factors that lead the failures. Thus, here, we intend to propose an agile approach to reduce complexity and eventually our intention is to improve ERP implementing to become more successful. In this study, we are employing a systematic literature review (SLR) approach to identify the principles factors of the agile methods for ERP implementation. In result of employing this SLR method, we found that agile values and principles are correlated in ERP implementation complexity.

关键词： Complexity theory Organizations information systems computer science Bibliographies Systematics

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Human-computer Interaction and Knowledge Transfer: Study of E-Learning Achievement 7

Human-Computer Interaction and Knowledge Transfer: Study of ...

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7th International Conference of computer and Informatics Engineering, IC2IE 2024

作者： Alamsyah, Doni Purnama Othman, Norfaridatul Ahkmaliah Kerta, Johan Muliadi Morika, Doni Ramdhani, Yudi Bina Nusantara University Binus Business School Creativepreneurship Department Jakarta Indonesia Universiti Teknikal Malaysia Melaka Department of Management Technology Melaka Malaysia Bina Nusantara University School of Computer Science Computer Science Department Jakarta Indonesia Bina Nusantara University School of Design Design Interior Department Jakarta Indonesia Satu University Information System Program Bandung Indonesia

ISBN: (纸本)9798331505530

Human-computer interaction influences the effectiveness of e-learning knowledge transfer, so it is necessary to pay attention to user engagement and achievement. The aim of this research is to examine the factors that support e-learning knowledge transfer through achievement and user engagement (self-efficacy, self-confidence, self-esteem). The research method was carried out by surveying e-learning users, namely students, data from students was collected through quantitative questionnaires. The data is then processed using the SmartPLS tool through two tests, namely the PLS Algorithm and Boostrapping. The model was tested using inner and outer tests, and the data was analyzed based on the research hypothesis design. Student interactions with e-learning influence several behaviors that can support e-learning knowledge transfer performance. The research results prove that student e-learning achievement has a positive impact on e-learning knowledge transfer. Several supporting factors play a role in increasing e-learning achievement, namely self-efficacy, self-confidence and self-esteem of students. However, the supporting factors for students are only self-efficacy and self-confidence which are directly able to increase e-learning knowledge transfer. It is known that students who are less able to respect themselves in interacting with e-learning are unable to support knowledge transfer. The rules of human-computer interaction play a role in supporting e-learning knowledge transfer, studies on user behavior need to be considered, especially self-efficacy and self-confidence to support online learning academic performance. © 2024 IEEE.

关键词： Knowledge transfer

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AI-Based Feature Extraction and Cosine Similarity for Automation of Student Learning Assessment 24

AI-Based Feature Extraction and Cosine Similarity for Automa...

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24th International Arab Conference on information Technology, ACIT 2023

作者： Wijanarko, Bambang Dwi Bachtiar Hassan, Rosilah Binti Murad, Dina Fitria Ihsan, Ridho Bramulya Heryadi, Yaya Kuncoro, Engkos Achmad Julianti, Eka Binus Online Learning Bina Nusantara University Computer Science Department Jakarta Indonesia Graduate School Universitas Terbuka Master of English Education Jakarta Indonesia Universiti Kebangsaan Malaysia Center for Cyber Security Faculty of Information Science and Technology Selangor Bangi43600 Malaysia Binus Online Learning Bina Nusantara University Information Systems Department Jakarta Indonesia Binus Online Learning Bina Nusantara University Manajemen Department Jakarta Indonesia Binus Graduate Program-Doctor of Computer Science Bina Nusantara University Computer Science Department Jakarta Indonesia Binus Business School Undergraduate Program Bina Nusantara University Management Department Jakarta Indonesia Universitas Terbuka Information System Department Jakarta Indonesia

ISBN: (纸本)9798350384307

This research is ongoing research into the student learning process which aims to develop artificial intelligence-based technology to calculate essay exam scores automatically, based on the textual proximity of students' answers to the answer key. This research uses an approach based on natural language processing (NLP) and text analysis. Feature extraction was carried out using the BERT model and similarity comparison using the Cosine distance method. Model evaluation was carried out using sensitivity and specificity tests. The model evaluation results show a sensitivity of 98.21%, which means this assessment model is able to detect positive cases well. © 2023 IEEE.

关键词： artificial intelligence BERT essay exam score natural language processing transformer

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Control and Data Integrity are Important Factors of Data Governance Technology

Control and Data Integrity are Important Factors of Data Gov...

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International Conference on ICT For Smart Society (ICISS)

作者： Yakob Utama Chandra Harjanto Prabowo Ford Lumban Gaol Betty Purwandari Information Systems Department BINUS Graduate Program Doctor of Computer Science School of Information Systems Bina Nusantara University Jakarta Indonesia Management Department Doctor of Research Management BINUS Business School Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Faculty of Computer Science Universitas Indonesia Depok Indonesia

The proliferation of data has become an inevitable consequence of the digital age as individuals across all domains increasingly rely on data for various purposes. Both companies and governments have a significant need for data. However, the sheer volume and complexity of this data, along with the potential risks associated with mishandling it, necessitate the establishment of a framework known as data governance. The primary objective of this research paper is to examine the factors that contribute to the effective implementation and utilization of Data governance. This study employs qualitative methods and adopts a systematic literature review approach to address the research inquiry: “What are the important factors that determine the utilization of data governance technology?” Through the systematic literature review, a total of 41 key factors were identified from 20 research literatures that have been found to significantly impact the effective implementation of data governance. There are thirteen primary technological factors that hold significance in the realm of data governance. These factors encompass technology, application and use, storage of data, sharing, archiving, and preservation, big data algorithmic systems, data flow, deletion, diversity of data, mechanisms, size of data, control, and data integrity.

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Evaluation of REAL-ESRGAN Using Different Types of Image Degradation

Evaluation of REAL-ESRGAN Using Different Types of Image Deg...

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International Conference on ICT For Smart Society (ICISS)

作者： Kus Andriadi Muhammad Zarlis Yaya Heryadi Andry Chowanda Computer Science Department Binus Graduate Program Bina Nusantara University Jakarta Indonesia Information System Management Department BINUS Graduate Program Bina Nusantara University Jakarta Indonesia Computer Science Department School of Computer Science BINUS University Jakarta Indonesia

ISBN: (数字)9798350389654

ISBN: (纸本)9798350389661

This study evaluates the performance of the REAL-ESRGAN [1] model on images with varying levels of degradation using the DIV2K dataset [2], such as the Wild, the Mild, the Difficult, and the x8 subsets. REAL-ESRGAN was created to solve super-resolution problems and aims to produce high-resolution images from low-resolution images. Experiments were conducted at scales of x2 and x4, and performance was measured using Full-Reference metrics (LPIPS, PSNR, SSIM) and No-Reference metrics (NIQE, MANIQA, CLIPIQA, and PI). The Results were good, especially with the x2 scale; it has higher PSNR and SSIM scores, lower LPIPS and NIQE values, and enhanced visual and perceptual quality. The model faced more significant challenges with the wild and the difficult datasets because they have more complex degradations and compression artifacts; it can be seen with unstable results of Full-Reference and No-Reference metrics. On the contrary, the Mild and x8 datasets yielded better results in both metrics; not only that, even the computational cost for Mild and x8 outperforms the rest of the dataset. This study shows the strengths and limitations of REAL-ESRGAN in handling different levels of image degradation. For future research, the model needs enhancement to tackle the degradation format of the wild and the difficult dataset. It would be good if the REAL-ESRGAN improvement could also maintain the computational cost.

关键词： Degradation Measurement Visualization Computational modeling Superresolution Computational efficiency Image reconstruction

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