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Journal of Computer Science and Technology Studies
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  This is an Open Access Journal Open Access journal
ISSN (Online) 2709-104X
Published by Al-Kindi Center for Research and Development Homepage  [14 journals]
  • Exploring Saudi Arabia Individuals' Attitudes toward Electronic
           Personal Health Records

    • Authors: Anas Alhur
      Abstract: This study is one of the few studies that examined the perspectives and expectations of Saudi Ariba patients regarding ePHRs. Participants expressed a greater interest in ePHRs than participants in other studies in developed countries. The majority of participants would like to use ePHRs at least once per month. Moreover, respondents believe that ePHRs help access images and blood test results, and information about the devices they use to track their health. For example, the blood glucose checkers. The study also pointed out that ePHRs are perceived as valuable to patients' health. However, some patients expressed concerns regarding the security of their online records. However, the vast majority of patients viewed ePHRs as enhancing patient privacy. The individuals desire access to information about their health contained within their ePHRs, including medication lists, doctor lists, medical conditions, and surgical histories. The respondents indicated that they are currently performing some tasks electronically, such as requesting appointments, reports, and medication refills, and referring patients through ePHRs, at an acceptable rate of 42.1%. Further research is needed to assess the quality of data entered, validity, and accuracy of the ePHR.
      PubDate: Fri, 10 Jun 2022 00:00:00 +000
  • Watering Strawberry (Fragaria X Anannasa) Plants in a Greenhouse Using
           IoT-Based Drip Irrigation

    • Authors: I Nyoman Sukarma; I Wayan Raka Ardana, I Gusti Putu Mastawan, I Made Adi Yasa, I Made Purbhawa
      Abstract: Strawberries are horticultural plants that are relatively sensitive to excess and lack of water; therefore, it is necessary to provide drip irrigation with an IoT-based control system to maintain the availability of water for plants to support good plant growth and facilitate the work of strawberry farmers. The purpose of using an IoT-based watering control system on strawberry plants (Fragaria X Annanasa) based on water needs in plants is used to support the development and progress of drip irrigation systems and smart farming system technology in modern agriculture. The research methodology is the preparation of tools and materials, assembling and testing the control system, placing sensors in three different scenarios, and observing the height and number of leaves of strawberry plants with different watering frequencies. The results of the design and testing show that the placement of the sensor on the planting media produces a reading value that is close to the actual volume of water by producing a volume of 51.6 ml of water, which is 79.51% of the weight of the growing media used. And for the growth of plants, watering every two days was better, with the average height and number of leaves for strawberry plants being 0.4 cm and 1.78 strands.
      PubDate: Sun, 15 May 2022 00:00:00 +000
  • A Model for Viewpoint Control in Requirements Elicitation

    • Authors: Mohammed Messaoudi
      Abstract: Requirements elicitation from multiple human sources involves uncertainty management. Most requirements analysis methods focus on expressing the requirements and ignore the uncertainty inherent in the process of requirements elicitation. This paper proposed a model for requirements elicitation from multiple viewpoints. The model is based on the idea of building internal models of the viewpoints that record their performance in providing information, assessing information, and resolving conflicts between viewpoints. The paper argues that the proposed approach provides a better mechanism in information validation and conflicts resolution. The paper is part of the work reported by the author in Messaoudi (1994).
      PubDate: Sat, 19 Feb 2022 00:00:00 +000
  • A Portable Computer Network Laboratory Model for Competency-Based

    • Authors: Eli Kangaru; Anthony Njina, Mary Gaceri
      Abstract: Computer networking technology has greatly evolved and continues to be an integral part of different aspects of our lives. The technology is no longer confined to business settings but is now predominant in personal and home devices. This has created a surge of career opportunities and consequently created a demand for manpower with a matching skill set for supporting the data networks that depend on these technologies. A competency-based curriculum (CBC) is a paradigm shift in education that transforms the conventional learning processes by promoting hands-on learner experiences and the traditional emphasis on basic networking principles. Experimental learning within a lab environment is essential to reinforcing computer networking knowledge and to ascertain that the learner is mastering content as well as getting better at what they are doing. CBC has great potential and is likely to transform examination-based learning, which results in less innovation at all levels of education. One of the challenges of learning computer networking is the provision of and access to networking laboratory equipment. This paper addresses this gap by proposing a portable computer network laboratory that will support the delivery of a competency-based computer network engineering curriculum.
      PubDate: Tue, 15 Feb 2022 00:00:00 +000
  • Linux vs. Windows: A Comparison of Two Widely Used Platforms

    • Authors: Muhammad Talha Awan ; Kashaf Khan
      Abstract: Current studies in OS is usually between linux and windows these days. Both Windows and Linux are widely used PC operating systems (OS). Windows is an eye-catching operating system, but it is not as safe as Linux. With growing worries about OS security, Linux has become well-known among OS users for its security and efficiency. This paper manages two of the principal common types of operating systems (Linux, Windows) with the significance of the operating system in any device and, moreover, to direct the study over Linux and Windows. We've compared various characteristics concerning Windows and Linux that are utilized in various researches and directed a survey for this reason. The results of the survey related to Windows and Linux are analyzed. The findings indicate that Linux is more preferred when concerned with security, whereas Windows is preferred when user-friendliness is concerned.
      PubDate: Fri, 21 Jan 2022 00:00:00 +000
  • Incorporating Social-Media to Enhance Collaboration in Online Learning

    • Authors: Mary Gaceri; Anthony Njina, Eli Kang'aru
      Abstract: Technology is advancing at a rapid pace, opening up new possibilities for learning. The majority of learning institution stakeholders, particularly professors and students, have cell phones and computers as well as active social media profiles. The rising use of social media, combined with the need to engage with people all over the world, is making it difficult to integrate social media into learning in a way that will complement the formal learning that takes place in educational institutions. This integration is especially important at stressful and difficult times, such as the Covid-19 period, which saw learning come to a halt for more than six months. As a result, the goal of this study was to look into social media integration in collaborative learning, which allows students to share learning content with others and tutors all over the world. The constructivism idea underpins this research. According to the article, social media plays a vital role in learning since it allows students to improve collaborative learning in the aforementioned scenarios. This research contributes to both theory and practice in a significant way.
      PubDate: Tue, 18 Jan 2022 00:00:00 +000
  • Analysis and Research on Spatial Nodes of Historical Villages based on
           Spatial Syntax Theory: Cuiwei Village in Qianshan Area of Zhuhai as an

    • Authors: Yile Chen; Junzhang Chen
      Abstract: This research takes Cuiwei Village located in Qianshan District of Zhuhai City as an example. The village is investigated and analyzed through field research, and the street scale, spatial structure, functional characteristics of streets, internal commercial distribution forms, and functions in the Cuiwei Historic Block are studied and analyzed. Based on the convex space analysis method and the line of sight analysis method in the space syntax theory, with the help of the Depthmap software, the complex street nodes, that is, the space of the two nodes A and B analyzed. Through the establishment of a viewshed model, including the analysis of the viewport integration degree, the viewport agglomeration degree, the viewport connection value and the spatial characteristics of the historical area, the most representative traditional buildings in the village, namely the Sanwang Temple and the Weishi Mansion, are selected. =N and when the radius R=3, observe the changes of the two parameters, the integration of the visual field and the visual depth of the two historical buildings. And with the help of Baidu time machine photos in different periods to observe and record the store's changes and people's behavioural characteristics. The results show that: at the present stage, the coordination of villages is poor, people's recognition in the village space is weak, and people cannot use local perception to reflect the overall space. There are obvious sub-interfaces between the interior of the village and the outside world—good but poor global intelligibility. After an on-the-spot investigation and analysis, it can be seen that although people can walk out of Cuiwei Village, they are always in a state of confusion, and it is difficult to grasp the spatial form of the overall area. Therefore, the space syntax analysis results are consistent with the field survey results, so this research method has good reference value and reference significance in the study of village space.
      PubDate: Sun, 16 Jan 2022 00:00:00 +000
  • Determining the Method of Predictive Maintenance for Aircraft Engine Using
           Machine Learning

    • Authors: Adryan Fitra Azyus; Sastra Kusuma Wijaya
      Abstract: Predictive maintenance (PdM) is indicated state of the machine to perform a schedule of maintenance based on historical data, integrity factors, statistical inference methods, and engineering approaches that are currently often applied to aircraft maintenance. The Predictive maintenance on aircraft to avoid the worse event (failure) and get information about the status of aircraft machines by applied on Machine Learning (ML) to get high accuracy and precision. The research aims to look for the method and technique of ML, which is the best applied on PdM for aircraft in accuracy indicators. The techniques of ML have been divided by classification and regression, which are compared on three ML methods: Random Forest (RF), Support Vector Machine (SVM), and simple LSTM. The result of the study for classification technique are LSTM 98,7%, SVM 95,6%, and RF 900,3%. On other hand, Regression technique for ML result on MAE and RMSE are LSTM 13,55 and 22,13, SVM 15,77 and 20,51, RF 15,06 and 19,98. Classify technique is better and faster than regression when calculating the PdM on an aircraft engine. The LSTM method of ML is the best applied to it because of the accuracy higher and time process faster than other methods in this study. Finally, the LSTM method is highly recommended while using with classify technique on ML to determine the PdM on an aircraft engine.
      PubDate: Fri, 07 Jan 2022 00:00:00 +000
  • Viewpoint Resolution: A Critical Evaluation

    • Authors: Mohammed Messaoudi
      Abstract: Viewpoints-based requirements engineering is an active area of research. This paper provides a critical evaluation of a particular technique for the early validation of requirements using viewpoints. The technique is limited to the syntactic analysis of requirements and lacks a conflict resolution strategy. This paper describes an approach to the very early validation of requirements based on learning about the viewpoints and building models of their behaviour. The method is a collection of domain-independent heuristics to build internal models of the viewpoints that record their performance in providing information, assessing information, and resolving conflicts between viewpoints.
      PubDate: Sat, 27 Feb 2021 00:00:00 +000
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