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Enhancing High-Quality User Stories with AQUSA: An Overview Study of Data Cleaning Process 7

Enhancing High-Quality User Stories with AQUSA: An Overview ...

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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： Fathin Najwa Binti Mustaffa, Siti Nur Sallim, Jamaludin Bin Binti Mohamed, Rozlina Pahang Pekan Malaysia

ISBN: (纸本)9781665414074

Agile software development has ended up profoundly prevalent over the final two decades. In conjunction with the increment of these methodology, amount of scientific research on this topic has also increased. This research concentrates on one component from Agile software development which is User Stories (US). In a recent paper, quality framework for User Stories was proposed together with a tool implementing which is still minimal finding to achieve high quality of user story document. It is closely related to the data requirement as part of the success factor in development project. The main goal is to analyze US requirement written and identification of potential errors in datasets that bring the effectiveness in forecasting the quality of User Stories for monitoring purpose. One of the steps require to identify the quality User Stories is by the route passing through data cleaning process. The research analysis considers performing data cleaning and pre-processing towards existing dataset of user story requirement from open-source agile software projects. Results of analyzing the User Stories will reveal the possibility step of data cleaning as initial step to extend the AQUSA tools and forecast the quality of User Stories. Thus, it can be related to the requirements quality based on the number of issues report in the dataset where highest number of issues report can be categorized as poor requirement statement. © 2021 IEEE.

关键词： Open source software

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Mellrak: An Ontology Driven CDSS for Symptom Assessment, Risk Assessment and Disease Analysis of Breast Cancer 7

Mellrak: An Ontology Driven CDSS for Symptom Assessment, Ris...

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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： Sherimon, C.P. Krishnan, Reshmy James, Menila Arab Open University Oman Muscat College Oman

ISBN: (纸本)9781665414074

Automated approach with increased ro-bustness and efficiency has proven its significant applications in the medical sector and offers a wide variety of growth opportunities. The paper proposes a Clinical Decision Support System (CDSS) for the Breast Cancer prediction named Mellrak for risk assessment, symptom assessment and breast cancer using the aid of Ontology and questionnaire. The risk assessment and breast cancer assessment are carried out with the help of clinical guidelines. The patient sorting using age group, weight and blood pressure to find the risk factor is performed using DL-Query that connects instances and inferred classes. This paper contains the architecture of the system and SWRL rule formation along with breast cancer stage determination through biopsy reports and mammography reports. © 2021 IEEE.

关键词： Risk assessment

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Applications of Artificial Neural Networks in Engine Cooling System 7

Applications of Artificial Neural Networks in Engine Cooling...

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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： Hasan, Md Munirul Islam, Md Shofiqul Bakar, Suraya Abu Rahman, Md Mustafizur Kabir, Muhammad Nomani University Malaysia Pahang Faculty of Computing Pahang Pekan Malaysia Trust University Faculty of Science and Engineering Barishal Bangladesh

ISBN: (纸本)9781665414074

Artificial neural network (ANN) is a powerful method for nonlinear regression, classification, object detection, and clustering and is widely used in thermal analysis of the cooling system. Cooling system is an invaluable part of removing waste heat from an internal combustion engine. A few decades ago, the engine cooling system became more advanced for developing a higher-performance engine. To enhance the engine cooling system, ANN is a promising method. In this context, this paper presents a brief survey, which reviews the ANN-based engine cooling system. For this purpose, we describe the different types of ANNs which are pertinent to engine cooling systems. Different evaluation metrics which are used to evaluate the performance of ANN in engine cooling systems, as well as the activation functions and modelling of ANN, are also introduced in this paper. Furthermore, the basics of engine cooling systems and different applications of ANN in cooling systems are described briefly. Finally, some limitations of ANN and future research scope are also presented here. © 2021 IEEE.

关键词： Neural networks

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Examining the Actual System Use of CodePolitan' Consumers during the COVID-19 Pandemic Using TAM 7

Examining the Actual System Use of CodePolitan' Consumers du...

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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： Marpaung, Joy Frans Yasirandi, Rahmat Makky, Muhammad Al Telkom University School of Computing Bandung Indonesia

ISBN: (纸本)9781665414074

The pandemic COVID-19 has resulted in a serious movement to several activities, one of which is Education. To reduce the spread of COVID-19, learning activities in the classroom are no longer possible. Multi Online Open Course (MOOC) is a solution in creating digital classrooms. There are many classes offered online today. One of Indonesia's popular online subscriptions is CodePolitan, which provides educational services in the field of information Technology. Previous research found that ease of use was the most influencing factor for students in using e-learning applications. In this study the Technology Acceptance Model is used to measure the level of user adoption when using digital services from CodePolitan. The study was conducted using the five basic constructs of TAM and analyzed through three stages starting from the Outer Model Analysis then the Inner Model Analysis and finally Testing the Hypothesis. The results show that six hypotheses were accepted and have positive significant. The strongest significant relationship is 65.7%, namely the relationship between Ease of Using CodePolitan and Attitudes towards the Use of CodePolitan on Behavioral Intentions of CodePolitan Users. When the CodePolitan application is easily handled, the implication is that it will be chosen by the user to support learning activities. © 2021 IEEE.

关键词： COVID-19

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A Study on Mental Health Discussion through Reddit 7

A Study on Mental Health Discussion through Reddit

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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： Kamarudin, Nur Shazwani Beigi, Ghazaleh Liu, Huan Universiti Malaysia Pahang Faculty of Computing Pahang Malaysia Arizona State University Cidse AZ United States

ISBN: (纸本)9781665414074

The massive growth of social media for the past few decades has given a new era to the open web. People are using social media to openly share opinions and also discussed sensitive subjects such as mental health. This paper study the online community on the Reddit discussion forum. We focused on studying linguistic behavior in the online mental health community. We report linguistic analysis in order to understand the similarity and differences of each mental health community. We first study the sentiment per each Reddit community and followed by the topic modeling. By using the well-known Latent Dirichlet Allocation (LDA) method, we extract the most discussed topic for each community. By utilizing all related posts from each subreddits in each community, we establish the following exciting insights: (a) We observe that the headline of the post does not indicate the whole content of the discussion post, (b) we found that sentiment across the mental health community was high on positive compared to negative, and (c) topic distribution for each community varies but there exist similarities among them. © 2021 IEEE.

关键词： Sentiment analysis

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Assistive technology for harvesting footstep energy in IoT enabled Smart shoe for the visually impaired 7

Assistive technology for harvesting footstep energy in IoT e...

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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： Ramalingam, Mritha Chinnavan, Elanchezhian Puviarasi, R. Yu, Ng Hui University Malaysia Faculty of Computing College of Computing and Applied Sciences Pahang Pekan Malaysia Holycross College Department of Rehabilitation Sciences Trichy India Saveetha School OfEngineering Siimats Department of Electronics and Communication Engineering India

ISBN: (纸本)9781665414074

This paper proposes an IoT enabled smart shoe tracking system for the visually impaired (VI) people. This IoT based innovation is an assistive technology for the VI people which assists them in navigation and tracking their location by using mobile application. The proposed smart shoe provides obstacle detection, navigation, tracking location and harvest energy from the footsteps. In this paper, what authors have presented is that when a VI person is walking, how the energy generated from the footsteps is harvested and utilized in the proposed design. From the harvested energy, the power is generated which is utilized for charging the battery and mobile phones that are interconnected to the smart shoe. © 2021 IEEE.

关键词： Internet of things

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Identifying Influencers on Twitter for Covid-19 Education and Vaccination Using Social Network Analysis 7

Identifying Influencers on Twitter for Covid-19 Education an...

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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： Yusuf, Andy Maulana Saputro, Mukhamad Rafi Galih Maharani, Warih Telkom University School of Computing Bandung Indonesia

ISBN: (纸本)9781665414074

The Corona Virus Pandemic (COVID-19) causes changes in social interactions in society to become virtual, which has a serious impact on individuals, communities, and even countries, including the decline in the economy, loss of jobs, difficulty praying due to policies prohibited from gathering, and many lives being taken. A total of 119 million cases, 64.6 million recovered, and 2.54 million died, causing COVID-19 to become the worst pandemic, surpassing its predecessors SARS and MERS. Research on vaccines has been carried out, and in 2021 the vaccination process begins to be used by countries around the world. Still, there are problems where there are countries that dominate vaccines, so that small countries find it difficult to get vaccine rations, which then results in a slow process of vaccines in one country. The state, and exacerbated by the emergence of the anti-vaccine movement by a group of people, even some councils in the government reject the vaccine process, making COVID-19 cases increase. Therefore it is important to channel information about the usefulness of vaccines in fighting the spread of the coronavirus in society through digital advertisements, social media, and other media by utilizing community leaders who are much closer to interacting and becoming idols so that this research will focus on finding potential public figures discussing COVID-19 on the Twitter platform, with the hope that in the future it can be utilized as a basis for government agencies to invite these community leaders to collaborate in disseminating the vaccination program. © 2021 IEEE.

关键词： Vaccines

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Non-Linear Autoregressive with Exogenous Input (Narx) Chiller Plant Prediction Model 7

Non-Linear Autoregressive with Exogenous Input (Narx) Chille...

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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： Zabidi, Azlee Jaya, Mohd Izham Mohd Din, Wan Isni Sofiah Wan Hassan, Hasliza Abu Yassin, Ihsan Mohd Universiti Malaysia Pahang Faculty of Computing College of Computing and Applied Sciences Pekan26600 Malaysia Universiti Selangor Faculty of Engineering and Life Sciences 46500 Malaysia Universiti Teknologi Mara Faculty of Electrical Engineering 40450 Malaysia

ISBN: (纸本)9781665414074

A chiller plant is a centralized system used for air cooling systems, commonly, for covering a large area of building with various components such as chillers, cooling towers, pumps, and chilled water storage tanks. Each component has several sensors or indicators with status information. Users can use the information to plan for maintenance and as guidance during troubleshot if an event occurs. It is crucial to ensure the chiller plant is operating efficiently without any faulty especially in critical buildings such as a hospital. The main problem of the chiller plant is to conduct preventive maintenance for avoiding the chiller plant failure and breakdown unexpectedly. Based on the literature, approximately 80 components in the chiller plant has found as the possible reason for the chiller plant faulty. In the current research, modeling chiller plants has been done by several researchers, objectively for preventative maintenance purposes. Study case for this project is for a chiller plant at Hospital Raja Permaisuri Bainun, Ipoh, Perak, Malaysia. A model for the proposed chiller plant system is to be designed using System Identification (SI) technique based on Nonlinear Autoregressive with Exogenous Inputs (NARX). Validation result shows, the proposed chiller plant system can be modelled and to be used as One Step Ahead prediction tool with residual Mean Square Error (MSE) of 1.018E-3 for training set and 1.017E-3 for testing set. © 2021 IEEE.

关键词： Hospitals

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Modeling Reproductive Health Educational Games for Early Childhood using Goal-Directed Design 7

Modeling Reproductive Health Educational Games for Early Chi...

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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： Putra Pratama, Muhammad Sopian Effendy, Veronikha Junaedi, Danang Telkom University School of Computing Bandung Indonesia

ISBN: (纸本)9781665414074

Most Indonesian parents still consider reproductive health education in early childhood to be taboo. However, this education is the basis of sex education material which is very important to avoid violence or sexual harassment. A non-governmental organization paying attention to this education took the initiative to promote this education through a training program for child mentors. However, in its implementation, this program has limited resources. The Covid-19 pandemic has also indirectly become an obstacle to implementing this program because of the limitations and considerable risks of offline training. Educational learning through digital media is an alternative to continue providing education. In this case, child companions can use digital media to help provide education to children. The media must be exciting and fun learning for children and be in line with the institution's objectives to deliver educational material without causing worry from parents who still consider education taboo. For this reason, digital media designs are made in the form of fun educational games for children. Those are designed to align the goals of the institution and parents by using Goal-Directed Design (GDD). The children then tested the design using observation and the System Usability Scale (SUS) method. The test results are used to improve the design. The final design resulted in a SUS score of 87.16 (very good). © 2021 IEEE.

关键词： Digital storage

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The Neuropsychology Assessment for Identifying Dementia in Parkinson's Disease Patients using a Deep Neural Network 7

The Neuropsychology Assessment for Identifying Dementia in P...

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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： Ismail, Nur Hafieza Kamarudin, Nur Shazwani Nasir, Ahmad Fakhri Ab. Pahang Malaysia

ISBN: (纸本)9781665414074

Parkinson's Disease (PD) patients have a high risk of developing dementia at least a year after the diagnosis. PD-Dementia affects both the physical and mental function that can gradually worsen the condition of the patients over time. This work proposed a framework for detecting dementia among PD patients based on neuropsychological assessment. This work classifies samples using the Montreal Cognitive Assessment (MoCA) scores as a guideline. It is classified into three categories, which are No Dementia, PD-MCI, and PD-Dementia. The work continues with designing a Deep Neural Network (DNN) architecture specific for analyzing electronic health records for PD-Dementia detection. Then, it compares the proposed model with the other five baseline methods. The experiment results present that the proposed DNN presents the highest result of 97.5%. This result shows that this proposed model is able to identify early dementia in PD patients from non-motor symptoms. © 2021 IEEE.

关键词： Deep neural networks

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