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- ItemStudent Identity Card Based On Advanced Quick Response Code Technology(Computing, Information Systems, Development Informatics & Allied Research Journal V, 2016-12-01) Kadri A. F.; Saheed Y.K; Salau-Ibrahim T.TAll academic institutions have certain means for student’s identity. Student identity card is an indispensable means of identification for every student’s in Africa Universities and beyond. In this paper, we advance the current means of identification in Al-Hikmah University which is the student identification card by designing and developing a Quick Response code student identity card to replace the current student Identity card. We adopted the use of Quick Response (QR) code to generate student based identification card which can be achieved through the use of a virtual Server that keeps student record, generate a QR code using QR generator which will hold the link to each student details on the server. The developed system identifies students by scanning the QR code placed on the back of the student’s identification card. Each black and whites box on the code, when scan is translated to digital information; which allows the computer to access the database and provide the student academic record. This new system which enhances data integrity and confidentiality ensures that there is a unique way of identifying an individual as an Al-Hikmah University student.
- ItemA Logistic Regression-Based Technique for Predicting Type II Diabetes(Journal of The Faculty of Computational Sciences & Informatics, 2024) Ronke Seyi Babatunde; Akinbowale Nathaniel Babatunde; Shuaib Babatunde MohammedIn recent years, diabetes has emerged as one of the main causes of death for people. The spread of unhealthy foods, sedentary lifestyles, and eating habits have all contributed to the annual increase in the incidence of diabetes. A diabetes prediction model can help with clinical management decision-making. Diabetes prevention may be aided by being aware of potential risk factors and early detection of high-risk individuals. Numerous diabetes prediction models have been created. The size of the data set to be used was an issue in earlier research, but more recent studies have incorporated the use of high-quality, trustworthy data sets, such as the Vanderbilt and PIMA India data sets. Recent research has demonstrated that a few variables, including glucose, pregnancy, body mass index (BMI), the function of the diabetic pedigree, and age, can be used to predict Type II diabetes. Machine learning models of these parameters can be used to accurately predict the chance of the disease occurring as it was investigated in this study. In order to predict Type II diabetes, this study used the machine learning method Logistic Regression.
- ItemMachine Learning Approach Using KPCA-SVMs for Predicting COVID-19(Springer Nature Switzerland AG 2022, 2022-07-22) Akeem Femi Kadri; Micheal Olaolu Arowolo; Sanjay MisraThe world has met numerous epidemics in the past decades. Lately, a deadly sickness identified as COVID-19 has surfaced from China [1, 2]. Inimitable public health adversity is triggered by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) [2–4]. The World Health Organization (WHO) termed the new epidemic as COVID-19. It is acknowledged as a Public Health Emergency of International Concern since the beginning of 2020. It was considered an epidemic around the first quarter of 2020 [5–7], as Americans joined forces with investigative institutions and scientific concerns for global artificial intelligence (AI) investigators’ activities in evolving groundbreaking machine learning measures that will help tackle COVID-19 linked surveys [3]. COVID-19 is a novel solitary intelligent ribonucleic acid (RNA) germ comprising of a huge pathological genomic sequence. It alters advances fast with no specific limitation for evaluating or investigating techniques or suitable medications. Secluding infected individuals by quarantining is the utmost way of safeguarding the universe from more escalation of the deadly COVID-19 [8].
- ItemFingerprint Based Approach For Examination Clearance in Higher Institution(FUOYE Journal of Engineering and Technology., 2017) A.F. Kadri; Y.K. SaheedBiometric techniques have become a prominent option and secured means of authentication capable of sustaining the emerging ubiquitous computing. The process for allowing students to sit for an examination has been through the presentation of medium of identification such as ID cards, library cards, fees clearance cards, photo cards, etc. This method of authenticating a student for an examination has an obvious problem such as presentation of fake clearance card, impersonation and so on. The unethical manner associated with the examination is a grim issue that require the stakeholders in academic area to seek for alternative means of authenticating student for examination because, the manual paper-based clearance process is fundamentally flawed. This paper addressed all the aforementioned shortcomings and revealed the effectiveness of biometric system using fingerprint for examination clearance. The proposed examination clearance system used fingerprint identification. In identification, the system recognizes an individual by comparing his/her biometrics with every record in the database.
- ItemERROR DETECTION AND CORRECTION USING RRNS BASED FAULT TOLERANT ARCHITECTURE FOR COMMUNICATION SYSTEM(u6 Confrence Calaba, 2019) Kadri Akeem Femi; Gbolagade Kazeem AlagbeThis paper presents the Error detection and Correction using redundant residue number system based Code Division Multiple Access over a communication channel. The Coded transmission technique applied in a multipath environment has a Bit Error Rate comparable to that of a narrow band radio channel due to the fact that the fading of each subcarrier is frequency non-selective. The existing scheme requires large block of data and higher overhead. Moreover, simple error detection such as parity check bit is too weak for communication in which quality of radio channel is often poor and burst error often occurs. These aforementioned shortcomings reduce the performance of the CDMA. In this paper, an alternative scheme to detect and correct error, in order to increase performance and also to eliminate the higher overhead in the present CDMA scheme is presented. We use length five (5) moduli set [2n, 2n – 1, 2n + 1, 2n - 2(n+1)/2 + 1, 2n +2(n+1)/2 + 1], Where (2n - 2(n+1)/2 + 1, 2n +2(n+1)/2 + 1) is the redundant moduli set which is used for the correction of error. The proposed scheme increases the performance of CDMA and provides more capability for fault-tolerance than those similar of the state-of the-art.