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Question Classification of CoQA (QCoC) Dataset 7

Question Classification of CoQA (QCoC) Dataset

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Lokman, Abbas Saliimi Ameedeen, Mohamed Ariff Ghani, Ngahzaifa Ab. Universiti Malaysia Pahang Faculty of Computing Pahang Pekan Malaysia

ISBN: (纸本)9781665414074

This paper proposes a new dataset for question classification process. Named QCoC (Question Classification of CoQA), this dataset is created based on Stanford's CoQA (A Conversational Question Answering Challenge) dataset. The total of QCoC datapoint is 116630 (total of combined question-answer pairs in CoQA training and evaluation dataset). Common question classification datasets are classifying question based on its paired answer's knowledge (the semantic of answer's context). For QCoC, classification is done differently that is per answer's feature (semantic and syntactic of answer's type). This paper discusses the question classification datasets, QA datasets, and justification of CoQA as selected base for QCoC. Then QCoC specification is discussed with class definition, classification method and result subsections. To the author's knowledge, such dataset is still nonexistent to date. This paper suggests that this type of dataset is useful in solving abstractive answers issue in Question-Answering (QA) system. While factual answers can be directly produced by regular QA system, abstractive answers need some additional components. Although it is a recognizable issue, lack of suitable dataset perhaps is the reason why such direction is not being pursued. With QCoC dataset made publicly available1, hopefully such direction is open for further exploration. © 2021 IEEE.

关键词： Semantics

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Sleep Behaviour and Online Engagement in Learning management System at Higher Education during COVID-19 Pandemic 7

Sleep Behaviour and Online Engagement in Learning Management...

引用

7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Abdullah, Aziman Faculty of Computing College of Computing and Applied Sciences Universiti Malaysia Pahang Pekan Malaysia

ISBN: (纸本)9781665414074

During COVID-19 pandemic, many higher education institutions have shifted their teaching and learning operation towards full online learning. As a result, using learning management system (LMS) become more intensive, crucial and compulsory. The issue is, there is lack of research to prove that online learning engagement may cause sleep disorder among student and instructor in higher education. Therefore, this paper aim to investigate user engagement in LMS and it associate with the risk of sleep disorder. This study adopts educational data mining (EDM) to extract the data from Moodle LMS log to discover the potential insights with business intelligence software tools. The outlier's detection using box-plot visualization manage to determine the indicators of sleep disorder behavior pattern. The findings from this study show that there are some student and instructor that potential to have experience sleep disorder. This novel finding is critical for institution to respond by developing a policy and risk mitigation strategy associated with unhealthy sleep behavior in online learning engagement. © 2021 IEEE.

关键词： COVID-19

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Comparison of document similarity algorithms in extracting document keywords from an academic paper 7

Comparison of document similarity algorithms in extracting d...

引用

7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Miah, M. Saef Ullah Sulaiman, Junaida Azad, Saiful Zamli, Kamal Z. Jose, Rajan Universiti Malaysia Pahang Faculty of Computing College of Computing and Applied Sciences Pekan26600 Malaysia Universiti Malaysia Pahang Center for Data Science and Artificial Intelligence Data Science Center Faculty of Computing College of Computing and Applied Sciences Pekan26600 Malaysia Green University of Bangladesh Department of Cse Dhaka Bangladesh Universiti Malaysia Pahang Faculty of Industrial Sciences and Technology Gambang Malaysia

ISBN: (纸本)9781665414074

The idea of this study is to validate a list of keywords derived from a scientific article by a domain expert from years of knowledge with prominent document similarity algorithms. For this study, a list of handcrafted keywords generated by Electric Double Layer Capacitor (EDLC) experts are chosen, and relevant documents to EDLC are considered for the comparison. Then, different similarity calculation algorithms were employed in different settings on the documents such as using the whole texts of the documents, selecting the positive sentences of the documents, and generating similarity score with automatically extracted keywords from the documents. The experiment's outcome provides us with findings that the machine-generated keywords are mostly similar to the curated list by the domain experts. This study also suggests the preferable algorithms for similarity calculation and automated key-phrase extraction for the EDLC domain. © 2021 IEEE.

关键词： Supercapacitor

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Performance Comparison of Spatial Domain-based Watermarking Techniques 7

Performance Comparison of Spatial Domain-based Watermarking ...

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Ooi, Jessie Liang Khor, Hui Chuin Liew, Siau Izhar Hisham, Syifak Universiti Malaysia Faculty of Computing Pahang Pekan Malaysia Tunku Abdul Rahman University College Department of Computing and Information Technology Kuantan Malaysia

ISBN: (纸本)9781665414074

Reversible watermarking is one of the main methods to authenticate and secure digital media security and revert to its original state without any losses. There are multiple reversible watermarking schemes proposed over the years. Often the proposed reversible watermarking scheme was focused on general grey-scale images. Their performance on medical images is not often evaluated. This study compares the performance of various general reversible watermarking schemes using multi-frame medical images and general grey-scale images in terms of 3 main factors, (1) computational complexity, (2) imperceptibility, and (3) embedding capacity. The result has shown that the Least Significant bits have the highest imperceptibility and embedding capacity. However, it is the least secure where outside can modify the watermarked images as long as they have the essential information. © 2021 IEEE.

关键词： Digital storage

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Project management Students' Perception on E-Learning 7

Project Management Students' Perception on E-Learning

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Shrivastava, Preeti Siju, Nitha Madbouly, Araby Muscat College Department of Business and Accounting Muscat Oman

ISBN: (纸本)9781665414074

This paper examines students' perceptions about the advantages and disadvantages of e-learning of Project management courses in Muscat, Oman. It also paves light into the academic institution's online delivery and assessment methods to assess Project management students. While many studies have focussed on general delivery and perception about e-learning, but there is a dearth of studies specifically for the Project management (PM) Programme and that too in the context of Oman. The study is based on Qualitative research and investigates the student perception from one college, which is the only Private College offering a PM programme in Muscat, Oman. An interview guide consisting of 13 open-ended questions was used for 21 respondents. The study's findings revealed that flexibility, comfort, easy access to resources, recorded sessions, and learning new IT skills were top advantages of e- learning project management courses. The disadvantages were isolation, class duration, network problems, distractions at home, and technical issues. The student perception related to online delivery and online assessments was satisfactory with recommendations of more usage of whiteboards and short recorded tutorials, which can guide them in technical sessions. The paper has further discussed the strategies like mind maps, simulation games, guest lectures, virtual tours, benchmarking with other HEIs, etc., which can strengthen e-learning platforms for this programme. This research can help other academicians to enhance their teaching practices related to technical subjects effectively. © 2021 IEEE.

关键词： Project management

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Infection Disease Classification in Indonesian Language using Machine Learning 7

Infection Disease Classification in Indonesian Language usin...

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Rosyid, Mohamad Raychan Abdul Afiahayati, Afiahayati Universitas Gadjah Mada Faculty of Mathematics and Natural Sciences Department of Computer Science and Electronics Yogyakarta Indonesia

ISBN: (纸本)9781665414074

Infectious diseases are still the main cause of death worldwide due to their dangerous and fast-spreading natures. One way to diagnose infectious diseases quickly and accurately is to create a machine learning model that aims to assist young doctors or health practitioners. In this study, we used the support vector machine, k-nearest neighbors, and the decision tree algorithm to classify types of infectious diseases based on the similarity of signs and symptoms. These methods were trained on documents in the Indonesian Language, which has its weight extracted using the Term Frequency-Inverse Document Frequency (TF-IDF). Model training and testing were carried out using 464 data with 20 classes of infectious diseases. Test results in this study indicate that support vector machine using stopword NLTK with unigram, bigram, and trigram get anaccuracy of 87%, 81%, and 76%, followed by the K-nearest neighbors using stopword NLTK get an accuracy of 83%, 81%, and 77%. The decision tree using stopword NLTK gets an accuracy of 66%, 60%, and 53%, scoring the lowest compared to the other two. © 2021 IEEE.

关键词： Support vector machines

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V-CRYPT: A Secure Visual Cryptography System 7

V-CRYPT: A Secure Visual Cryptography System

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Nashrudin, Muhamad Ridhwan Bin Nasser, Abdullah B. Abdul-Qawy, Antar Shaddad H. Universiti Malaysia Pahang Faculty of Computing College of Computing and Applied Sciences Pekan26600 Malaysia Sumait University Facutly of Science Department of Science and Information Technology Zanzibar Tanzania United Republic of

ISBN: (纸本)9781665414074

Nowadays, peoples are very concerned about their data privacy. Hence, all the current security methods should be improved to stay relevant in this fast-growing technology world. Visual Cryptography (VC) is a cryptographic technique that using the image processing method. The implementation of VC can be varying and flexible to be applied to the system that requires an extra security precaution as it is one of the effective solutions in securing the data exchange between two or more parties. The main purpose of the development of V-CRYPT System is to improve the current VC technique and make it more complex in the encryption and decryption process. V-CRYPT system will let the user enter the key, then select the image that they want to encrypt, and the system will split the image into four shares: share0, share1, share2, share3. Each pixel of the image will be splatted into a smaller block of subpixels in each of the four shares and encrypted as two subpixels in each of the shares. The decryption will work only when the user selects all the shares, and the correct text key is entered. The system will superimpose all the shares and producing one perfect image. If the incorrect key is entered, the resulted image will be unidentified. The results show that V- CRYPT is a valuable alternative to existing methods where its security level is higher in terms of adding a secure key and complexity. © 2021 IEEE.

关键词： Electronic data interchange

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Multipath TCP Scheduling Performance Analysis and Congestion Control on Video Streaming on the MPTCP Network 7

Multipath TCP Scheduling Performance Analysis and Congestion...

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Imaduddin, Muhammad Faris Putrada, Aji Gautama Karimah, Siti Amatullah Telkom University School of Computing Bandung Indonesia

ISBN: (纸本)9781665414074

TCP is a reliable protocol that works on a single communication stream to receive and send data. If either method is interrupted, communication will fail. On the other hand, a device such as a smartphone or laptop has multiple network interfaces that allow data to be transmitted over several lines simultaneously. Multipath TCP is an extension of TCP which can improve device performance to maximize transmission by sending data simultaneously through multiple network interfaces so that it will have an impact on throughput and reduce connection failures. MPTCP has scheduling features, some of which are minimum round trip time (MinRTT) and Round Robin. MPTCP also has several types of congestion control algorithms such as Cubic, wVegas and Balia. With these mechanisms, MPTCP can provide better results on real time services such as video streaming. This study aims to compare the performance of each scheduling method, in which each scheduling mechanism will be combined with Cubic, wVegas, and Balia congestion control to run video streaming services. From the test results, Cubic has better throughput in both the minimum round trip and round robin times and is followed by wVegas and Balia. For the delay metric, Cubic performed best for both the minimum round trip time and round robin, followed by Balia and wVegas. For packet transmission, wVegas gets the best performance for both round trip and round robin minimums, followed by Cubic and Balia. © 2021 IEEE.

关键词： Video streaming

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Performing User Acceptance Test with System Usability Scale for Graduation Application 7

Performing User Acceptance Test with System Usability Scale ...

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Nik Ahmad, Nik Azlina Megat Sazali, Puteri Norliana Nor'Ain Universiti Kuala Lumpur Software Engineering Section Malaysian Institute of Information Technology Kuala Lumpur Malaysia Universiti Kuala Lumpur Malaysian Institute of Information Technology Kuala Lumpur Malaysia

ISBN: (纸本)9781665414074

The exponential growth of technology creates opportunity for numerous sorts of application to be produced, and education is one of the sectors which significantly impacted by this technological advancement. As such, we can witness various kinds of mobile applications being developed for higher education recently. Therefore, it is important to produce an application which contributes to better degree of user satisfaction in higher education context. This study involved performing user acceptance test and measuring the users' satisfaction using System Usability Scale (SUS) towards a graduation mobile application that runs on two platforms;web and mobile. A number of 45 participants involved in the assessments and the results disclose a significant correlation between the SUS scores and number of issues reported, where the application has agreeably met the users' satisfaction by passing the acceptable marginal level with 73.7 score. Insights from this study offers a ground basis on measuring the user satisfaction where the individual item scores could also be analyzed in order to provide insight into the application's possible problems and improvement. © 2021 IEEE.

关键词： Acceptance tests

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Long Short-Term Memory approach for Wave Height Prediction: Study Case in Jakarta Bay, Indonesia 7

Long Short-Term Memory approach for Wave Height Prediction: ...

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Lumban Raja, Agnesia Peronika Ramadhan, Annas Wahyu Adytia, Didit Adiwijaya, Adiwijaya Telkom University School of Computing Bandung Indonesia

ISBN: (纸本)9781665414074

Predicting wave height is critical for sea navigation, operational activities on offshore platforms, and coastal areas such as ports. The traditional approach in wave height prediction systems is to utilize the numerical tool for simulating wave energy propagation by solving the energy balance equation. The method requires a very high computation resource. For calculating wave height prediction from wind field data in this research, we applied a machine learning methodology, namely the Long Short-Term Memory (LSTM) method, which requires fewer computer resources. To create a dataset for the algorithm's training and testing , we simulate continuous wave simulation from wind field data by using SWAN model, which is based on a phase averaged wave model. As wind field input for the model, we utilize the ECMWF ERA-5 reanalysis wind data collection as the model's wind field input. We chose a research area in Jakarta Bay, Indonesia, as a case study. In addition, we investigate the impact of various wind data inputs on the results of wave height prediction in Jakarta Bay. With several wind inputs, the LSTM model predictions wave data with good results. © 2021 IEEE.

关键词： Long short-term memory

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