International Journal of Computer Networks and Communications Security

Volume 5, Issue 7, July 2016

 

 

 

An Infinite Runner Game Design using Automata Theory

Pages: 119-125 (7) | [Full Text] PDF (686 KB)
A Jamil, E AsadUllah, M Rehman
College of Computing, Riphah International University Faisalabad Campus, Faisalabad, Pakistan
Department of Electrical Engineering, Riphah International University Faisalabad Campus, Faisalabad, Pakistan
College of Computing, Riphah International University Faisalabad Campus, Faisalabad, Pakistan

Abstract -
Automata theory has immense importance in automated game design and development. In this paper, we present Game Design of an infinite runner game “Hungry bird” using Mealy Machines and Theory of Automation. In existing literature game design had been structured using NFA (Non-Deterministic Finite Automata) and DFA (Deterministic Finite Automata) in which NFA must be converted to DFA for implementation of game design but using Mealy machines the design becomes even explicit. This paper discusses the design theory and design of “hungry bird”. It is observed that game design in Mealy Machine is more understandable and it can be further extended to more advance automation.
 
Index Terms - Automata Theory, Game Design, Infinite Runner Game, Hungry Bird, Mealy Machines, Game Theory

Citation - A Jamil, E AsadUllah, M Rehman. "An Infinite Runner Game Design using Automata Theory ." International Journal of Computer Science and Software Engineering 5, no. 7 (2016): 119-125.

 

Compensators design utilizing the frequency response methods and generating a summary report in Latex: Interactive Graphical User Interface

Pages: 126-134 (9) | [Full Text] PDF (626 KB)
MEM Meza, FHG Zucatelli
Graduate Program in Mechanical Engineering, Federal University of ABC, Santo Andre, SP09210-580, Brazil

Abstract -
An important task for a professor in control engineering is to transfer knowledge to students in classroom in a formal and logical way. One of this knowledge is the response-frequency methodology that is used to design different types of compensators. This article introduces an interactive graphical user interface to design compensators (phase-lead, phase-lag, phase lag-lead) by the technique called Trial and error and by the Analytical technique for the listed above compensators, as well as for the PI, PD and PID. MATLAB®/GUIDE was used to create this interactive interface, which was adequated to help professors and students in the study, analysis and design of different compensators; to have an insight about the indirect relationship between performance parameters on time with the frequency performance parameters and generates a summarized report in LATEX with all plots and data simulations. Fifty percent of all students that use this interface agree that it works very well to improve their understanding of the compensator design.
 
Index Terms - Frequency response method, Interactive user interface, Compensator, MATLAB®/GUIDE, LATEX

Citation - MEM Meza, FHG Zucatelli. "Compensators design utilizing the frequency response methods and generating a summary report in Latex: Interactive Graphical User Interface ." International Journal of Computer Science and Software Engineering 5, no. 7 (2016): 126-134.

 

An Automatic Computer Aided Diagnostic System for the Analysis of Glaucoma Using Super pixel Classification and Clustering Methods

Pages: 135-141 (7) | [Full Text] PDF (522 KB)
MP Kumar
School of informatics, Institute of Technology, Hawassa University, Ethiopia

Abstract -
Glaucoma is a chronic eye disease that leads to vision loss. As it cannot be cured, detecting the disease in time is important. This research proposes optic disc and optic cup segmentation using superpixel classification for glaucoma screening. It uses the 2D fundus images. In optic disc segmentation, clustering algorithms are used to classify each superpixel as disc or non-disc. For optic cup segmentation, in addition to the clustering algorithms, the gabor filter is also included into the feature space to boost the performance. The segmented optic disc and optic cup are then used to compute the cup to disc ratio for glaucoma screening. The Cup to Disc Ratio (CDR) of the color retinal fundus camera image is the primary identifier to confirm Glaucoma for a given patient.
 
Index Terms - Glaucoma Screening, Optic Disc Segmentation, Optic Cup Segmentation, 2D Fundus Image, Superpixel Classification, Clustering Algorithms, Gabor Filter, CDR

Citation - MP Kumar. "An Automatic Computer Aided Diagnostic System for the Analysis of Glaucoma Using Super pixel Classification and Clustering Methods ." International Journal of Computer Science and Software Engineering 5, no. 7 (2016): 135-141.

 

A Three-Layer Visual Hash Function Using Adler-32

Pages: 142-147 (6) | [Full Text] PDF (714 KB)
APU Siahaan
Faculty of Computer Science, Universitas Pembangunan Panca Budi, Jl. Jend. Gatot Subroto Km. 4,5 Sei Sikambing, 20122, Medan, Sumatera Utara, Indonesia

Abstract -
The visual integrity needs to be implemented in sending a picture. There is various image received have no originality. The small change of the pixels does not make the picture content detected by the eye. The integrity validation is very important to be applied. The picture captured by a camera has two dimensions. It is described in pixels such as Width and Length. This study is to validate all the pixels data or the color intensity of both dimensions. If there are a modification in the pixel, this method will give the wrong hash data. The validator will analyze the pixels in every layer such as red, green and blue to ensure the data transmitted is correct. Once there is a slight change in the pixels, the calculation gives the wrong value. It is very useful to compare the image before and after transmission.
 
Index Terms - Hash Function, Adler-32, Security

Citation - APU Siahaan. "A Three-Layer Visual Hash Function Using Adler-32 ." International Journal of Computer Science and Software Engineering 5, no. 7 (2016): 142-147.

 

Crop Production-Ensemble Machine Learning Model for Prediction

Pages: 148-153 (6) | [Full Text] PDF (584 KB)
N Balakrishnan, G Muthukumarasamy
Assistant Professor, Computer Science and Engineering Wing, D.D.E, Annamalai University, Chidambaram, Tamil Nadu 608 002, India
Assistant Professor, Department of Computer Science and Engineering, FEAT, Annamalai University, Chidambaram, Tamil Nadu 608 002, India

Abstract -
Data Mining is the most believable approach of the present digital world for analyzing mass of data sets to obtain unnoticed relationship. The method used for the analysis of statistical data over a period of time is the time series analysis. This technique is scientific and reliable in forecasting events to follow over a period. Probability of production could always be predicted to the near perfection by time series analysis. In this work, food production is the thrust for prediction. The prominent classification methods in this study are the Support Vector Machine (SVM) and Naive Bayes. In this paper, AdaSVM and AdaNaive are the proposed ensemble model used to project the crop production over a period of time. This ensemble model is compared to SVM and Naive Bayes methods. The two parameters used separately for prediction of output are the accuracy and the classification error. The finding yields that AdaSVM and AdaNaive are agreeable than SVM and Naive Bayes for the data set analyzed.
 
Index Terms - Data Mining, Time Series, Food Production, Crop Yield Prediction, Support Vector Machine, Naive Bayes, AdaSVM, AdaNaive, Accuracy, Classification Error

Citation - N Balakrishnan, G Muthukumarasamy. "Crop Production-Ensemble Machine Learning Model for Prediction." International Journal of Computer Science and Software Engineering 5, no. 7 (2016): 148-153.