COMPUSOFT: An International Journal of Advanced Computer Technology <p>Computer Science Journals - COMPUSOFT is a monthly computer and engineering science journal that publishes innovative articles which contribute new theoretical results in all areas of engineering and Computer Science, Communication Network, Information Security issues, electrical engineering, electronics engineering etc. COMPUSOFT is high impact journal of information technology having Impact Factor of 4.44 (Self Calculated) with the rejection rate of around 90%. We invite research papers, review articles, thesis in all the fields of engineering &amp; computer science. We are indexed in many renowned indexing agencies. International Computer Science and Engineering Journals have devoted Staff, Reviewers, Editorial Board Members, Experts, and Adviser.</p> COMPUSOFT en-US COMPUSOFT: An International Journal of Advanced Computer Technology 2320-0790 <p>The submitter hereby warrants that the Work (collectively, the “Materials”) is original and that he/she is the author of the Materials. To the extent the Materials incorporate text passages, figures, data or other material from the works of others, the undersigned has obtained any necessary permissions. Where necessary, the undersigned has obtained all third party permissions and consents to grant the license above and has all copies of such permissions and consents.</p> <p>The submitter represents that he/she has the power and authority to make and execute this assignment. The submitter agrees to indemnify and hold harmless the COMPUSOFT from any damage or expense that may arise in the event of a breach of any of the warranties set forth above. For authenticity, validity and originality of the research paper the author/authors will be totally responsible.&nbsp;</p> FACE MASK DETECTION AND WARNING SYSTEM FOR PREVENTING RESPIRATORY INFECTION USING THE INTERNET OF THINGS <p>The respiratory-related diseases can spread and cause infection from patients to other people easily. The mask can help preventing or reduce the risk of spreading respiratory diseases from person to person. This research presents the development of the warning system to the people for wearing the masks by using the ESP32-CAM and IoT devices. The Haar-like feature and cascade classify training techniques are used to detect the human faces and the masks in this system. A total of 2,160 sampling images was trained for modeling the mask detection on human faces.&nbsp; The result shows that the accuracy of the developed system is 91.60% for mask detection. The system evaluation in black box testing has the mean value 4.51 with a standard deviation 0.51 and a mean value 4.62 with a standard deviation 0.49 by experts and users, respectively. Moreover, the acceptance of the system has a high consensus. It could be said that the developed system can detect and classify the person who is wearing the face mask for protecting the respiratory infection at the highest level.</p> Sumitra Nuanmeesri Lap Poomhiran Preedawon Kadmateekarun Copyright (c) 2020-09-30 2020-09-30 9 9 3810 3816 TIME PREDICTION ALGORITHM BASED ON DISTANCE AND REAL-WORLD CONDITIONS <p>Prediction algorithms have seen a rise in popularity in various applications. These algorithms are frequently implemented in applications to assist in making data-driven decisions based on the predicted output. Time prediction algorithms are often used to predict the travel time between two distances that allow better planning and anticipation. However, the non-linear situation of urban traffic has undermined the accuracy of these predictions. With the increased application of such algorithms in urban settings, it is important to conduct research to further improve the accuracy of current algorithms. The factors affecting travel time are researched to develop an algorithm that includes these factors into consideration during calculation.</p> Khoo Kah Keat Vazeerudeen Hameed Muhammad Ehsan Rana Copyright (c) 2020 COMPUSOFT: An International Journal of Advanced Computer Technology 2020-10-02 2020-10-02 9 9 3817 3823 SYSTEMATIC LITERATURE REVIEW OF LEVEL-ONE DIGITAL DIVIDE <p>Providing digital technology to every segment of society should be the prime concern of any government for society to be knowledge-rich rather than knowledge poor. From developed nations to developing nations, many are struggling to close the Digital divide gap existing in their respective society. The sustainability of the initiatives taken to resolve the level-one (availability) digital divide depends on the accuracy of the measurement. Previous research on technology availability has not taken a holistic approach of availability. This research intended to fill that gap by carrying out a systematic literature review of 100 research papers from 2005 to 2018 and 86 reports from 2010 to 2018. The findings indicate that while physical availability of digital devices and infrastructures are important, the technical support, capacity of the hardware and the autonomy to use when needed is equally important determinants of availability.</p> Veerakumar Soundrapandian Copyright (c) 2020 COMPUSOFT: An International Journal of Advanced Computer Technology 2020-10-02 2020-10-02 9 9 3824 3830 AIR QUALITY INDEX USING MACHINE LEARNING – A JORDAN CASE STUDY <p>Predicting changes in air pollutant concentrations due to human and nature drivers are critical and challenging, particularly in areas with scant data inputs and high variability of parameters. This paper builds an Air Quality Index (AQI) model using Machine Learning algorithms and techniques. The paper employs Machine Learning Algorithms such as Decision Tree (DT), Support Vector Machine (SVM), k-Nearest Neighbor (k-NN), Random Forest (RF) and Logistic Regression. The model can predict the most pollutant factors from real readings published daily by the Jordan Ministry of Environment (MoEnv) for the period from January 2017 to April 2019. Jordan has prioritized air quality problems by establishing detection and monitoring stations in 12 positions across the country to measure Air Quality (AQ). Pollutant concentrations recorded by MoEnv use fully forewarn official organizations and individuals of daily air quality in the atmosphere over time and beneficially used by health and climate studies organizations. The study has detected the most contaminated sites and determined the pollutant concentrations. These estimates will indicate the most influenced pollutants and their behavior in the pollution process for further recommendations and actions to effects cardiopulmonary patients, environmental and climate researches, as well as to vulnerable ecosystems.</p> Khalid nahar Mohammad Ashraf Ottom Fayha Alshibli Mohammed Abu Shquier Copyright (c) 2020 COMPUSOFT: An International Journal of Advanced Computer Technology 2020-09-30 2020-09-30 9 9 3831 3840 AN EMPIRICALLY TESTED DESIGN PATTERN SELECTION FRAMEWORK BASED ON DEVELOPER EXPERIENCE <p>In most IT projects, software maintenance had always been a difficult task to perform especially when the software is not designed properly. This has led to numerous changes all over the places despite a minor change request. Design patterns are widely known for its proven solution to recurring problems. If fully utilized, design patterns can prevent such incident from happening as changes can often be added without affecting existing components. However, due to numerous design patterns that are available these days, it is difficult to select the right pattern. In addition, existing studies still lack a proven guideline to select the right pattern. This difficulty is faced by many beginners and experienced developers. The aim of this research is to propose a framework to select the most suitable design patterns in software development. The research methodology used is quantitative research where primary data are collected using survey and questionnaires. This is mainly to find out developers’ attitudes towards the use of design patterns. 25 out of 48 papers regarding design patterns are referenced in this paper. The framework developed is evaluated and empirically tested using expert judgement and controlled experiment. The result shows that the framework does help in evaluating and selecting the most suitable pattern. Therefore, the authors highly recommend developers to make use of this framework in software development.</p> Eddy Khonica Imran Medi Muhammad Ehsan Rana Copyright (c) 2020 COMPUSOFT: An International Journal of Advanced Computer Technology 2020-10-05 2020-10-05 9 9 3841 3847 THE DEVELOPMENT OF A RULE-BASED SYSTEM FOR THE DIAGNOSIS OF CANDIDIASIS <p>Candidiasis is one of the most common opportunistic fungal infections in existence. Globally, about 75% of women suffer from at least one episode of vulvovaginal candidiasis (VVC) annually. The nature of genital candidiasis infections, which includes vaginal and balanitis (inflammation of the glans penis) often hinders patients from seeking appropriate medical assistance in formal health facilities because these patients usually feel shy to engage experts. We developed a Web-based Expert System that provides a self-administered diagnosis of this condition. The system provides a diagnosis in conjunction with laboratory tests verification before treatment advice and remedial measures are recommended. Requirement gathering and specification were carried out through informal interviews and interactive sessions with health care providers, visitation to the laboratory and review of relevant literature on candidiasis infections. Simple production rules, as well as coded questions and answers, were employed for inferences. Valid and reliable inferences were made regardless of the Candidiasis scenario cases used in testing the system. Fifty (50) persons were tested and an average of 12% tested positive to the five (5) various types of Candidiasis. Treatment was recommended for such patients. The system could serve as initial diagnosis support for candidiasis.</p> Idongesit Efaemiode Eteng Udeze Leonard Chinedu Anuonye Chinasa Okon Utibeima Copyright (c) 2020 COMPUSOFT: An International Journal of Advanced Computer Technology 2020-10-22 2020-10-22 9 9 3848 3855