Journal of Computing Research and Innovation最新文献

{"title":"Monkeypox and measles detection using CNN with VGG-16 Transfer Learning","authors":"","doi":"10.24191/jcrinn.v8i1.340","DOIUrl":"https://doi.org/10.24191/jcrinn.v8i1.340","url":null,"abstract":"The Monkeypox virus causes the infectious illness monkeypox. This virus is spread by coming into touch with infected animals or humans. Monkeypox is very similar to Measles. The rubeola virus causes measles, a contagious infectious disease. The cause is what distinguishes Monkeypox from Measles sickness. Although they are both carried through the air and generate similar symptoms, Monkeypox and Measles are two separate forms of infectious diseases. Vaccination is the most effective way to prevent Measles, while for Monkeypox, no vaccine can be used to prevent infection. In differentiating Monkeypox and Measles disease, the researcher proposes an image classification to distinguish symptoms between Monkeypox and Measles. Researchers used the deep learning method of image classification with Convolutional Neural Network architecture and VGG-16 transfer learning to do the modeling. Transfer learning is a technique that allows a model which has been trained on a dataset to be used on a different dataset. It allowed the model to adapt knowledge from the original data for use in new data. Researchers propose this method because learning using deep learning is very useful for similar images so that the model can accurately predict new data. The result is that the VGG-16 model can achieve high accuracy with a value of 83.333% at epoch value = 15","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122947104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Computing the performance parameters of Fuzzy Markovian Queueing System FM/FM/1 in transient regime by Flexible AlphaCuts Method","authors":"Jean Alonge w'Omatete, Rostin Mabela Makengo Matendo, Daniel Lama Okenge, Claude Mfumu Mbikudi, Bopatriciat BOLUMA MANGATA","doi":"10.24191/jcrinn.v8i1.347","DOIUrl":"https://doi.org/10.24191/jcrinn.v8i1.347","url":null,"abstract":"This scientific article sets out to solve the following fundamental problem to calculate the performance parameters of the FM/FM/1 queuing system in transient state. To resolve this problem the fuzzy arithmetic of ∝ − cuts and intervals was used in transient state (TS). To achieve the expected results of our work, we used the analytical method with its different stages which are : selecting textual or visual documents ( books, articles, conferences, seminars,... with or without internet); read and analyze the content of these documents; record selected documents related to our research topic; interpret during the reading and the classification, the data obtained. This method helped us to identify the appropriate mathematical approach to evolve the performance of the queuing system under study. This is precisely the relaxed a-cuts and intervals. To illustrate this approach, a numerical example is given in the sixth section. The membership function enabled us to represent the graphs of the performance parameters of the FM/FM/1 queuing system in the three-dimensional space in the transient regime in a fuzzy environment","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129044363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Algorithms for the extension two-dimensional fuzzy signal via decomposition and reconstruction in fuzzy wavelets","authors":"Jean-louis Ossako, Rebecca Walo Omana, Richard Bopili Mbotia, Antoine Kitombole Tshovu","doi":"10.24191/jcrinn.v8i1.337","DOIUrl":"https://doi.org/10.24191/jcrinn.v8i1.337","url":null,"abstract":"he decomposition of an image can be done in the following way: The image is split into a low-resolution part, which can be described by a smaller number of samples than the original image, and a signal difference, which describes the difference between the low-resolution image and the real coded image. Therefore, this low-resolution image is also decomposed into a low-resolution image and a difference image, making more efficient coding possible. This decomposition is repeated several times, so that a hierarchical image decomposition is created. Thus, the low-resolution image is only half the size of the original image. This reduced image is enlarged to the size of the original image. The result is a detailed image that is the same size as the original image. Our problem is: \"Can we build algorithms allowing the decomposition and reconstruction of a signal in a fuzzy environment? We will answer in the affirmative. This construction is first made possible by one-dimensional fuzzy multiresolution analysis, which will later be extended to two dimensions. In the first part, we recall some definitions and main results obtained on the existence of fuzzy multiresolution analysis in the one-dimensional case, for the decomposition of a fuzzy image. The second part, based on this multi-resolution analysis, presents a fast construction algorithm for the analysis and synthesis of a fuzzy signal. Finally, the third part is nothing else than an extension of this algorithm to 2 dimensions, by the fuzzy multiresolution two-dimensional analysis","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126566635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The implementation of augmented reality in geometry for primary school students","authors":"H. Pradibta, O. D. Triswidrananta, Maisia Rohmatul Jannah","doi":"10.24191/jcrinn.v8i1.341","DOIUrl":"https://doi.org/10.24191/jcrinn.v8i1.341","url":null,"abstract":"Mathematics is a subject studied from elementary education up to the university level. In general, learning mathematics uses a conventional approach using a whiteboard. This method has shortcomings in the process of visualization and simulation, especially in the material of geometry. This research develops a learning application by utilizing Augmented Reality technology with the content of geometry for sixth-grade primary school students. Augmented Reality can visualize and simulate geometry for students with an interaction model. Linear Congruential Generator (LCG) and Fuzzy Tsukamoto methods are used in this application as a randomization method and score determination method. The results obtained from the testing process show that the LCG and fuzzy Tsukamoto methods can run according to the design. In user testing using a questionnaire, the results obtained 4.6 of scale 5.0 indicating that respondents provided good responses for the Augmented Reality Geometry application.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126154545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decomposition of a fuzzy function by one-dimensional fuzzy multiresolution analysis","authors":"Jean-louis Akakatshi Ossako, Rebecca Walo Omana, Richard Bopili Mbotia, Antoine Kitombole Tshovu","doi":"10.24191/jcrinn.v8i1.336","DOIUrl":"https://doi.org/10.24191/jcrinn.v8i1.336","url":null,"abstract":"Signal compression and data compression are techniques for storing and transmitting signals using fewer bits as possible for encoding a complete signal. A good signal compression scheme requires a good signal decomposition scheme. The decomposition of the signal can be done as follows: The signal is split into a low-resolution part, described by a smaller number of samples than the original signal, and a signal difference, which describes the difference between the low-resolution signal and the real coded signal. Our paper deals with the proofs of these properties in a fuzzy environment. The proof of one- dimensional multiresolution analysis is given. The concept of fuzzy wavelets is introduced and as a byproduct a special fuzzy space of details of a signal is given and an orthonormal basis of","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116841280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysing technology acceptance for digital learning in Islamic education: the role of religious perspective on ICT","authors":"Mussa Saidi Abubakari, Gamal Abdul, Nasir Zakaria, D. Triantini","doi":"10.24191/jcrinn.v8i1.344","DOIUrl":"https://doi.org/10.24191/jcrinn.v8i1.344","url":null,"abstract":"Whether in general education or Islamic education, information and communication technologies (ICT) have shown to be effective in boosting learning and teaching processes. However, the optimal utilization of ICT in Islamic education is hardly observed, and its acceptance is rarely analysed. Therefore, the present study evaluated factors influencing individuals in Islamic education to adopt ICT based on the modified unified theory of acceptance and use of technology (UTAUT) model by incorporating two external factors: personal innovativeness and a religious perspective on the ICT aspect. The study employed a survey method to collect data from 225 valid respondents from Indonesia and applied a partial least squares-structural equation modelling (PLS-SEM) approach for analysis purposes. The study’s findings suggest that three factors significantly influenced behavioural intention to utilize ICT in Islamic education. These factors are the religious perspective on ICT, personal innovativeness, and social influence, with the religious perspective being more effective factor on behavioural intention than other factors. Moreover, religious perspective, facilitating conditions, and behavioural intention significantly affected actual ICT usage. Both effort and performance expectancies did not significantly affect behavioural intention to use ICT. Besides that, personal innovativeness was found insignificant in influencing usage behaviour, however, it significantly affected effort expectancy, while religious perspective significantly influenced performance expectancy. Finally, the study’s model explained 55.1% of behavioural intention and 54.0% of usage behaviour. The implications of the findings for practical and theoretical contributions are discussed in this paper.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117218159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A performance of SIR Model in predicting the number of COVID-19 cases in Malaysia based on different phase of COVID-19 outbreaks","authors":"Nur Fatihah Fauzi, N. S. Ahmad Bakhtiar, N. I. Khairudin, Huda Zuhrah Ab Halim, Nor Hayati Binti Shafii","doi":"10.24191/jcrinn.v8i1.334","DOIUrl":"https://doi.org/10.24191/jcrinn.v8i1.334","url":null,"abstract":"Since December 2019, COVID-19 has quickly taken on a massive global form led to the World Health Organization (WHO) classified COVID-19 as a pandemic outbreak as a result. Due to a lack of information about the virus and the absence of medical services in the community during the early stages of this outbreak, the coronavirus spread quickly. Consequently, it becomes extremely difficult to control the influence of the disease outbreak. Thus, this study was aim to predict the peak numbers of the infected population on the first, the second, the third waves and endemic phase by utilizing a Susceptible-Infected-Recovered (SIR) predictive model between 25th January and 16th February 2020, corresponding to the entire first wave, the second, between 27th February 2020 and 30th June 2020, corresponding to part of the second wave, the current third wave began on 7th September 2020 and 1st April 2022, corresponding to the endemic phase, still present at the time of writing this article. The model retrieved the data from a reliable source on the Internet and its design is based on certain assumptions. The estimated reproductive value in this model for all simulations is 5.1, which are interconnected factors that have contributed to the rapid increase in the number of COVID-19 cases. This led to the outbreak of a highly contagious disease. The number of infected populations increase with the rate of disease transmission rate of infected increases and vice versa and the spread of COVID-19 from first, second, third waves and endemic reached maximum level in a very short time. The COVID-19 endemic in Malaysia is predicted to peak by the early of March 2020 for the first wave, mid of April 2020 for the second wave, early of October 2020 for the third wave and around April 22, 2022, for the endemic phase. The peak infected was predicted at 16,280,000 persons out of a total of susceptible individuals 33,573,874. Therefore, in addition to maintaining control measures at least until the anticipated peak time has passed, proper crisis management and efficient resource use are essential for successfully combating the endemic.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"32 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131727701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implementation of an access control system based on bimodal biometrics with fusion of global decisions: Application to facial recognition and fingerprints","authors":"Bopatriciat BOLUMA MANGATA, Dominique Ilunga Nakashama, Donatien Kadima Muamba, Parfum Bukanga Christian","doi":"10.24191/jcrinn.v7i2.289","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i2.289","url":null,"abstract":"Single-mode biometric systems suffer from several problems that make them unsuitable for current biometric applications that require high levels of reliability and security. These problems include the use of a single biometric trait that is prone to noise, poor capture, lack of biometric points, and deterioration of biometric input quality. In this paper, we are interested in decision fusion access control on a biometric bimodal pattern recognition system based on fingerprints and facial recognition. To realize this access control system based on facial recognition and fingerprints, we used an embedded system under Arduino, we programmed electronic systems for the automatic opening of doors without human action being. The performance evaluation of decision fusion access control on a biometric bimodal pattern recognition system is realized by means of the confusion matrix, the calculations of the evaluation parameters (Sensitivity, Specificity, Positive Predictive Value, Negative Predictive Value and False Negative). From a sample of 500 individuals, 250 of whom were registered and 250 non-registered, our access control system obtained the results of 248 true positives, 2 false negative, 1 false positive and 249 true negatives which constitute our confusion matrix. However, from the set of tests performed we can conclude that by taking advantage of the fusion of these two modalities, we increase the verification performance of system as the verification performance of bimodal system (fingerprint decision fusion and facial recognition) is applied to give even better results compared to single mode systems.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115989565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Asmaul Husna Web-Based System: Acquainting the 99 Names of Allah","authors":"A. F. Rosmani, Nurul Amanni Ahmad Shuhaimi","doi":"10.24191/jcrinn.v7i2.285","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i2.285","url":null,"abstract":"Web-based systems have had a significant impact on computer and communication technology advancement. Websites are still prevalent in a variety of practices after a long time. As a result, an Islamic learning-oriented website concentrating on Asmaul Husna was formed. This project was created as the topic still requires an engaging and comprehensive informal learning method to fill the need. The website was designed using a Waterfall model-based system development life-cycle methodology. According to the testing results, this website has aided users in learning their topic more openly and at their leisure. By using this website, more people would be able to profit from learning about the subject in their daily lives.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"230 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123253584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"e-Runner: A Mobile Application for Campus Food Delivery Service","authors":"Jiwa Noris Hamid, Ammar Adnan, Hawa Mohd Ekhsan","doi":"10.24191/jcrinn.v7i2.331","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i2.331","url":null,"abstract":"Nowadays, technology has played a vital role in revolutionizing the food delivery service and benefits the students, runners, and food outlets in many ways. Life as a student is known to be challenging due to academic load, assignment deadlines, bouncing back and forth to class, extra-curricular activities, etc. This is a typical daily scenario on campus that require good time management. In the preliminary investigation of this study, students prefer to take away their food and dine in their rooms so that they will not waste their time by spending too much time in the cafeteria. It is found that convenience is the prime factor for the students as the orders can be made as simple as a few clicks on any mobile device, and the food and beverages are delivered to their doorstep. Additionally, this can prevent them from spending too much or wasting time buying food. Since food delivery becoming popular and preferable recently, thus, this study is aimed to develop a mobile application named e-Runner for the campus food delivery system. Students can make a food order, check the order status, and view a variety of food and beverages from several food outlets. The modified Waterfall Model has been used as the methodology of this study and consists of 4 phases, namely Requirement Analysis, Design, Implementation, and Testing. The application has been tested using two types of testing; Functionality and Usability Testing. The testing results show that this application has many benefits, such as saving time, convenience and act as an all-in-one platform. Furthermore, it can enhance students' lifestyles and can improve customer experience.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122214876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}