American Journal of Computer Engineering


CT Image Reconstruction Method Based on Filtered Back Projection Algorithm

Research article of American Journal of Computer Engineering CT Image Reconstruction Method Based on Filtered Back Projection Algorithm Botao Liu1*, Boying Lv1, Yishuai Tian1,Yuting Wang1 1College of Hydraulic & Environmental Engineering, China Three Gorges University, Yichang 443002, China. This paper used the relevant knowledge of electronic computer tomography image reconstruction to solve the problem of CT system parameter calibration and imaging algorithm. Through geometric analysis, a target optimization model was established. The parallel beam filtering back-projection algorithm was used to solve the problem based on the information received by the detector unit. The image reconstruction model was used to obtain the position information of the medium. Finally, image stability was verified by noise processing. Keywords: Filtered Back Projection; Wavelet principle CT; System parameters ...

CREATING A TEST SYSTEM TO TEST KNOWLEDGE OF STUDENTS ON THE SUBJECT OF INFORMATICS

Research article of American Journal of Computer Engineering CREATING A TEST SYSTEM TO TEST KNOWLEDGE OF STUDENTS ON THE SUBJECT OF INFORMATICS PhD, Assos.Prof. Rahimova Nazila Candidate of Technical Sciences, Assos. professor of Azerbaijan State University of Oil and Industry, Baku The subject article is dedicated to the creation of test system for examination of students in a subject of computer science. The software testing users as well as the software on automation of creation of tests and the analysis of the tests handed over by the users are developed. Keywords: test systems, test control, computer training system, object model ...

A Cloud-Linked Ambient Air Quality Monitoring Apparatus for Gaseous Pollutants

Research article of American Journal of Computer Engineering A Cloud-Linked Ambient Air Quality Monitoring Apparatus for Gaseous Pollutants Eunalili Maye L. Culpa1, Jes Ian C. Mendoza1, Jasper Gabriel M. Ramirez1, Aldrine Lennart M. Yap1, Engr. Philip Virgil B. Astillo2, and Engr. Elline L. Fabian2 1Undergraduate Student, Department of Computer Engineering, University of San Carlos, Talamban, Cebu City, Philippines; 2Faculty Member, Department of Computer Engineering, University of San Carlos, Talamban, Cebu City, Philippines Vehicles on the road are increasing in number and traffic conditions are getting worse exposing one to a plethora of diseases by going out on the traffic. People do not know the actual measure of the quality of the air they breathe outside on a regular basis, but it is of utmost importance to know of such in order to take precautionary measures. This study sought to make the quality of air known to the general public. Consequently, a microcontroller-centered device which could measure CO, NOx, and C6H6 concentrations in ambient air was developed along with a web application to display and visualize the data. The device uses a fan to sample air into an aluminum pipe containing metal oxide semiconductor gas sensors which detect and measure the gas concentrations in terms of mg/m3. An aluminum steel mesh is installed on the device’s inlet to filter out dust particles and is regularly cleaned by a vibration motor. The web application tabulates and plots data near-real-time whilst presenting the air quality index and a short-term exposure limit warning. Multiple devices can be deployed through registering in the web application. Two three-hour sampling data were gathered at dawn and in the morning along the University of San Carlos – Talamban Campus’ Portal which showed how the pollutant concentrations were low at dawn and which slowly grew higher during the transition ...

Enhanced Churn Prediction Model Based on Comparative Analysis of Data Mining Classifier Algorithm

Review article of American Journal of Computer Engineering Enhanced Churn Prediction Model Based on Comparative Analysis of Data Mining Classifier Algorithm Adeniyi Ben, Awodele, O., Ogbonna, A.C., Kuyoro, S.O., *Ebiesuwa Seun Department of Computer Science, Babcock University, Nigeria Churn is characterized to be the movement of customers leaving the organization and disposing of the administrations offered by it because of the disappointment of the administrations as well as better offering from other network suppliers. To carry out a comparative analysis of the existing churn management models, we study the various characteristics of existing models based on techniques used methods of data classification and feature selection processes. Based on this comparison, this study can discover various types of knowledge, including association, classification, clustering, prediction, sequential patterns and decision tree. The knowledge acquired from this comparison will then be classified into general knowledge, primitive-level knowledge, and multilevel knowledge. To model the Customer prediction, a Markov Chain Model will be used. The Markov model allows for more flexibility than most other potential models, and can incorporate variables such as non-constant retention rate, which is not possible in the simpler models. The model allows looking at individual customer relationships as well as averages, and its probabilistic nature makes the uncertainty apprehensible. The purpose of this study was to ascertain the relevant drivers of customers` churn and retention in the growing telecommunication industry especially in Nigeria and developed an enhanced predictive model to address earlier limitation of accuracy and improved churn prediction. The enhanced churn prediction model performed better than the unenhanced model. Logistic regression had better performance metric than other algorithms: neural network, Support vector machine, decision tree and random forest. Although, all the other algorithm had a high AUC but in terms of generality and simplicity logistic regression resulted in the highest AUC ...

Dr. M. Ramesh Kumar
Associate Professor/Project Coordinator, Department of Computer Science and Engineering, VSB College of Engineering Technical Campus

Dr. S. Krishna Murthy
Associate Professor, Department of Applied Mathematics, Defence Institute of Advanced Technology, Deemed University(DU), Girinagar, Pune

Dr. Yashar Hashemi
Ph.D in Electrical Power Engineering, Coding and Diagram Expert, Tehran Regional Dispatching, Tehran Regional Electric, Company, Tehran, Iran

Dr. G.N.Balaji
Assistant Professor, Dept. of Computer Science and Engineering, Cvr college of engineering

Dr. Mohd Muntjir
Information Technology Department, College of Computers and Information Technology, Taif University

Dr. Parveen Sharma
Assistant Professor, School of Mechanical Engineering, Lovely Professional University

Dr. Pushpraj Pal
Assistant Professor, SRM IET Ambala

Dr. S. Sathish
Assistant Professor and Head, Dept. of Automobile Engineering, Vels University, Pallavaram, Chennai.

Dr. Vaibhav Sundriyal
Research Scientist, Old Dominion University research Foundation, USA

Dr. Bingxu Wang
Automotive Tribology Center (ATC), School of Engineering and Computer Science, Oakland University

Dr. Sagar Chandrakant Jirapure
Assistant Professor, Mechanical Engineering Department, Jawaharlal Darda Institute of Engg and Technology.Yavatmal

Dr. S. Arivoli
Assistant Professor/EEE, VSB College of Engineering Technical Campus, Coimbatore-642109

Dr. ABHISHEK SHUKLA
Assistant Professor, R.D. Engineering College Technical Campus, Ghaziabad

Dr. Kuntal Barua
Assistant Professor, Computer Science & Engineering, SANGAM UNIVERSITY

Dr.S.Balamurugan
Head-Research&Development, QUANTS IS & CS, India

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American Journal of Computer Engineering

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1. Avinaba Mukherjee, Sourav Sikdar, Anisur Rahman Khuda-Bukhsh. Evaluation of ameliorative potential of isolated flavonol fractions from Thuja occidentalis in lung cancer cells and in Benzo(a) pyrene induced lung toxicity in mice. International Journal of Traditional and Complementary Medicine, 2016; 1(1): 0001-0013. 
2. Vikas Gupta, Parveen Bansal, Junaid Niazi, Kamlesh Kohli, Pankaj Ghaiye. Anti-anxiety Activity of Citrus paradisi var. duncan Extracts in Swiss Albino Mice-A Preclinical Study. Journal of Herbal Medicine Research, 2016; 1(1): 0001-0006.

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