Computer Reviews Journal 2019-02-07T11:16:21+00:00 Prof. Douglas Lyon, PhD, PE Open Journal Systems <p><em>Computer Reviews</em> is scientific, international peer-reviewed/Referred online journal that is devoted to fields of&nbsp;computing to provide rapid publication of articles frequently in its issues.</p> Annual Review Report 2018-11-16T10:57:21+00:00 Chief Editor 2018-11-16T10:57:21+00:00 ##submission.copyrightStatement## Close-up Macro and Micro Photogrammetry and Image Perspective: A Comparative Studio on different Lenses at work with Small and Medium Size Object 2018-11-14T07:59:20+00:00 Giorgio Verdiani Paolo Formaglini Filippo Giansanti Stéphane Giraudeau <p>The digital photogrammetry has renewed the approach to measurement for archaeologists, architects and many researchers, students, professionals in Cultural Heritage. Thus, most of the troubles coming from the more and more advanced software for photogrammetry processing came from purely photographic mistakes or poor knowledge about photographic tools. Here the focus will be on <em>perspective</em> and its influence in the result coming from medium and small size objects and finds. The study will present the results from the use of four different lenses for the same professional DSLR camera body: a Nikon D800e full frame 36 Megapixels, mounting the AF Micro-NIKKOR 60mm f/2.8D with 1:1 reproduction ratio (RT) (one of the best macro lens on the market), the Venus Laowa Micro 15mm f/4 with 1:1 RT (a quite economical super wide lens), a Nikkor Zoom 24-85mm AF with “macro” function (a classic in common set of lenses) and the classic Micro Nikkor 55mm F/2.8 with extension ring to reach the 1:1 RT (a piece of history of photography, the predecessor of the 60mm here in test). The full processing and procedure of matching the data will be presented to bring a useful contribution and reference for other scholars and operators.</p> 2018-11-09T08:59:11+00:00 ##submission.copyrightStatement## RLS Wiener Fixed-Point Smoother and Filter with Randomly Delayed or Uncertain Observations in Linear Discrete-Time Stochastic Descriptor Systems 2018-11-14T07:48:11+00:00 Seiichi Nakamori <p>The purpose of this paper is to design the recursive least-squares (RLS) Wiener fixed-point smoother and filter in linear discrete-time descriptor systems. The signal process is observed with additional observation noise. The observed value is randomly delayed by multiple sampling intervals or has the possibility of uncertainty that the observed value does not include the signal and contains the observation noise only. It is assumed that the probability of the observation delay and the probability that the observation does not contain the signal are known. The delayed or uncertain measurements are characterized by the Bernoulli random variables. The characteristic of this paper is that the RLS Wiener estimators are proposed from the randomly delayed, by multiple sampling intervals, or uncertain observations particularly for the descriptor systems in linear discrete-time stochastic systems.</p> 2018-11-09T09:07:08+00:00 ##submission.copyrightStatement## On the Derivation and Analysis of a Highly Eccient Method for the Approximation of Quadratic Riccati Equations 2018-11-14T07:48:13+00:00 Joshua Sunday <p>A highly e¢cient method is derived and analyzed in this paper for the&nbsp;approximation of Quadratic Riccati Equations (QREs) using interpolation and&nbsp;collocation procedure. The derivation is carried out within a two-step integration interval. We are motivated to derive a method that&nbsp;approximates QREs (which are nonlinear differential equations that have a&nbsp;great deal of applications in science and engineering). Furthermore, the basic&nbsp;properties of the newly derived method, which include the order of accuracy,&nbsp;convergence, zero-stability, consistence and region of absolute stability were&nbsp;analyzed. The method derived was also applied to solve some QREs and from&nbsp;the results generated, it was clear that the new method performed better than&nbsp;the ones with which we juxtaposed our results with.</p> 2018-11-09T09:09:04+00:00 ##submission.copyrightStatement## Housekeeping Inspection and Inventory Analysis are the Primary Responses of Engineering and Logistics Operations in Hospitality Industry- An Intensive case study of Professional Research on Sheraton Gateway Hotel in Toronto Pearson International Airport 2018-11-14T08:02:16+00:00 Gazi Farok Greg MacNeil <p>Housekeeping inspection maintains a chronological checklist and it has the major practice at the hospitality industry. Hospitality industry manages an imaging services to restaurants, lodging, event planning, theme parks, transportation, cruise line, tourism industry etc. Now days, hospitality as well as housekeeping are a dynamic and vibrant industry. It has different facilities of maintenances and direct operations with technology, engineering, housekeeping, kitchen workers, marketing, human resources, bartenders and supply chain logistic management</p> 2018-11-09T00:00:00+00:00 ##submission.copyrightStatement## Make Semantic Analysis of Opinions about social networking using Blog Search Engines 2018-11-14T07:48:18+00:00 Murtaza Mohiuddin Junaid Farooque <p>There is no consensus amongst the academic communities weather Social media is a boon or bane for the students. &nbsp;Semantic analysis and blog search was used to get extracts opinions of the bloggers regarding various aspects of using social media in education and employment.</p> 2018-11-09T00:00:00+00:00 ##submission.copyrightStatement## Designing a Customer Relationship Management System in Online Business 2019-02-07T11:16:21+00:00 Negin Ziaei Hamed Fazlollahtabar <p>With the advancement of online shopping technology, it has become the first choice for most consumers. The activity of online stores in this competitive business space should be in line with the expectations of their customers. Understanding, collecting, maintaining and organize data in online stores makes it easier for managers to decide. So, in this research, we examine the textual and non-textual of user opinions and reviews. We use rapid miner software and text mining. In this research, the processes are aimed at finding active users, analyze the user type and their suggestions, analyzing the strengths and weaknesses of the products, and categorizing them with the K-NN and Naïve Bayes algorithms. &nbsp;Finally, suggestions were made to increase loyalty and improve business using the results obtained from the processes.</p> 2018-11-09T00:00:00+00:00 ##submission.copyrightStatement## Comparative Analysis of Predictive Models for the Likelihood of Infertility in Women Using Supervised Machine Learning Techniques 2018-11-14T07:48:28+00:00 Jeremiah Ademola Balogun Ngozi Chidozie Egejuru Peter Adebayo Idowu <p>Infertility is a worldwide problem, affecting 8% – 15% of the couples in their reproductive age. WHO estimates that there are 60 - 80 million infertile couples worldwide with the highest incidence in some regions of Sub-Saharan Africa also infertility rate may reach 50% compared to 20% in Eastern Mediterranean Region and 11% in the developed world. Infertility has caused considerable social, emotional and psychological stress between couples, among families, within the individual concerned and the society at large. Historical data constituting information describing the risk factors of infertility alongside the respective infertility likelihood status of women was collected from Obafemi Awolowo University Teaching Hospital Complex (OAUTHC).&nbsp; The predictive model was formulated using naïve Bayes’, decision trees and multi-layer perceptron algorithm – supervised machine learning algorithms.&nbsp; The formulated model was simulated using the Waikato Environment for Knowledge Analysis (WEKA) environment.&nbsp; The results of the performance evaluation of the machine learning algorithms showed that the C4.5 decision trees and the multi-layer perceptron with an accuracy of 74.4% each outperformed the naïve Bayes’ algorithm.&nbsp; In addition, the decision trees algorithm recognized variables relevant to predicting infertility and a rule that can be applied on patient risk factor records for infertility likelihood prediction was deduced from the tree structure.&nbsp; This showed how effective machine learning algorithms can be used in predicting the likelihood of infertility in Nigerian women.</p> 2018-11-13T00:00:00+00:00 ##submission.copyrightStatement## An Ensemble Model of Machine Learning Algorithms for the Severity of Sickle Cell Disease (Scd) Among Paediatrics Patients 2018-11-26T05:32:12+00:00 Balogun Jeremiah Ademola Aderounmu Temilade Egejuru Ngozi Chidozie Idowu Peter Adebayo <p>This study was motivated at developing an ensemble of 3 supervised machine learning algorithms for the assessment of the severity of sickle cell disease (SCD) among paediatric patients. The study collected data from a tertiary hospital in south-western Nigeria following the identification of variables required for assessing the severity of SCD. The study also adopted the use of 3 supervised machine learning algorithms namely: naïve Bayes (NB), C4.5 decision trees (DT) and support vector machines (SVM) for creating the ensemble model using a 10-fold cross validation technique. The models were created by adopting the algorithms in isolation and in combination of 2 and 3 which were compared. The developed models were evaluated in order to present the model with the best performance. The results of the study showed that using an ensemble of DT and NB alone provided the best performance. The study has implications in presenting a model for improving the assessment of the severity of SCD among paediatric patients in Nigeria.</p> 2018-11-13T00:00:00+00:00 ##submission.copyrightStatement## A General Study on Langevin Equations of Arbitrary Order 2018-11-19T10:57:58+00:00 Elsayed M. Elsayed S. Harikrishnan K. Kanagarajan <p>In this paper, the broad study depends on Langevin differential equations (LDE) of arbitrary order.<br>The fractional order is in terms of ψ-Hilfer fractional operator. This work reveals the dynamical<br>behaviour such as existence, uniqueness and stability solutions for LDE involving ψ-Hilfer fractional<br>erivative (HFD). Thus the fractional LDE with boundary condition, impulsive effect and nonlocal<br>conditions are taken in account to prove the results</p> 2018-11-13T00:00:00+00:00 ##submission.copyrightStatement##