Vol 4 Issue 2 April 2016-June 2016

Abstract: This study was entitled La Fila Converter: A file converting system using Optical Character Recognition (OCR) implementing K-Nearest Neighbours Algorithm. The purpose of this study is to implement an existing algorithm under Optical Character Recognition that uses patterns to perform converting of a file. The fact that humans have a higher demand in file converting applications is the reason why this study was conducted. Computers don’t have eyes to read just like human do, they use pattern recognition to read characters. Using K-Nearest Neighbours Algorithm will help the system to be more accurate and consistent in recognizing text characters. Incremental Software Methodology was utilized for the development of the study. Functional and Conformance Test are used as testing instruments. The evaluation criteria were based on ISO 9126-1 software quality standard. The result of the system evaluation showed that the developed system is highly acceptable with a Mean of 3.47 and 0.55 of SD. Keyword: Converter, Optical Character Recognition (OCR), K-Nearest Neighbors Algorithm, Functional Testing, Conformance Testing. Title: La Fila Converter: A file Converter Using Optical Character Recognition Implementing K Nearest Neighbors Algorithm Author: Ron Dieve S. De Ramos, Fersie R. Toquia, Efraim Justin S. Paredes, Mariah Malaika Lyn M. Manaya International Journal of Computer Science and Information Technology Research ISSN 2348-120X (online) Research Publish Journals

Abstract: This study aimed to improve the efficiency of the existing Student Information System of Kalinga State University Rizal campus. To attain this objective, an assessment of the existing system was done through observation and interview methods from the Acting Registrar, Campus Secretary, Faculty Members and students. Results reveal that the existing student information system met the five requirements: reusability, maintainability, security, usefulness and functionaity and evaluation on the system appeal of a quality software only to a “moderate extent”. Moreover, reliability of the existing system was given a “low extent” rating. Based on the assessment results, the existing student information system was refined to include suggestions such as the inclusion of online query access, online accessiblity of student information, and a role-based security in the system. During the try-out of the developed student information system, it was assessed with “high extent” of effectiveness in terms of all system components except for its usability and efficiency which is rated as “moderate extent”. The developed Student Information System provided greater satisfaction to the users compared with the existing system for an efficient querying of student information records, keeping the student records in a more secured manner, and it gives more reliable information records of students in Kalinga State University Rizal campus. Keywords: Student Information, Student Information System, Information System, Kalinga State University, System Analysis and Design. Title: Student Information System for Kalinga State University-Rizal Campus Author: Eileen Bayangan-Cosidon International Journal of Computer Science and Information Technology Research ISSN 2348-1196 (print), ISSN 2348-120X (online) Research Publish Journals

Abstract: This paper discusses some of the areas which encompass big data and its adoption within Information Technology (IT) consultancy and professional practice. Among the issues that are highlighted in this paper are the relation of big data and its relevancy to IT consulting practice, why big data is increasingly getting and being in the spotlight and how it impact businesses. Undoubtedly, big data technology enables businesses to seek new opportunities and help managers in organizational decision-making. The advisory from IT consultants’ emphasis on what businesses need to get, and that is an expert’s insight before they truly understand and adopt big data and making investments on this on-demand technology, as there are some challenges and issues in regards to big data that businesses need to be aware of and ready for. Keywords: IT Consultancy, Big Data, Data Analytics, Information Technology (IT), Consultancy Services, Impact. Title: Big Data and Its Impact on IT Consultancy Author: Habab Mohamed, Nur Nadiah Md Hasim, Alfiya Zangirova,Jamaludin Ibrahim International Journal of Computer Science and Information Technology Research ISSN 2348-120X (online) Research Publish Journals

Abstract: This paper briefly reviews information repackaging, identifies the characteristics of information and discusses the various facets of the information characteristics as it relates to information repackaging. It concludes that the best service gives more than the customer expect. Keywords: information repackaging, Library service. Title: Information Repackaging and Its Application in Academic Libraries Author: JOYCE CHINYERE OYADONGHAN, FELIX MMANUOMA EKE (PhD), BIOKUROMOYE FYNEMAN International Journal of Computer Science and Information Technology Research ISSN 2348-1196 (print), ISSN 2348-120X (online) Research Publish Journals

Abstract: The scale at which events are held is ever increasing. The difficulties in managing such events increase proportionately with the size of the events. The factor which is common among all these events is the unfamiliarity with the environment and lack of relevant information at the right time. This paper describes an event management system that overcomes the above mentioned drawbacks by providing context aware location based services to the users. The system uses Bluetooth Low Energy (BLE) based beacons, an android mobile app and a web server to provide the right information, to the right person at the right time. The proposed system aims to provide an interactive and engaging experience to the users as well as facilitate ease of event management. Keywords: Bluetooth Low Energy (BLE), Location Based Services (LBS), Web Services. Title: Indoor Location Based Services Using Bluetooth Low Energy Author: Aishwarya Panchal, Shweta Mandhare, Utkarsha Ganla International Journal of Computer Science and Information Technology Research ISSN 2348-1196 (print), ISSN 2348-120X (online) Research Publish Journals

Abstract: E-commerce is an attractive domain where user can purchase their intended products online and get there products deliver in time to their doors, even though users are profiting huge advantage in ecommerce over traditional commerce, the one who suffering from the growth online commerce sector is local retailers, in order to prevent the local retailer business from being pushed in to the corner, we are proposing an android app with an idea of Omni-channel, online offline shopping, product reservation and recommending the products for the users based on user clicks history, which was implemented using a data mining algorithm called collaborative based filtering methods. Keywords: Touch and feel; Omni-channel; product reservation; online and offline; recommendation system; collaborative filtering. Title: CityOnnet E-Commerce App Based on Collaborative Filtering Author: Akshatha K N, Venkatesh U.C, Dr.Antony P.J International Journal of Computer Science and Information Technology Research ISSN 2348-1196 (print), ISSN 2348-120X (online) Research Publish Journals

Abstract: Recommender frameworks and systems are presently famous both industrially and in the research group, where numerous methodologies have been proposed for giving recommendations. This paper talks about the collaborative filtering and conventional method for measuring their execution against client rating information sets. The paper will then proceed onward to talk about building dependable, precise information sets; understanding recommender frameworks in the more extensive connection of client data needs and undertaking support and the collaboration amongst clients and recommender frameworks. A cooperative separating methodology is going to channel and perceive the comparable administrations under same group and took after by those assessments proposals are made. Pre-calculation and truncation is crucial to conveying cooperative separating by and by, as it places an upper bound on the quantity of things which must be considered to create a suggestion and wipes out the inquiry time expense of similarity calculation. It accompanies the little cost of diminishing the quantity of things for which expectations can be created. This paper proposes a joined collaborative filtering technique which utilizes cosine closeness strategy to register the likenesses which results in better recommendations. Keywords: Recommendation Systems, Collaborative Filtering, Content Analysis, Web Usage Mining, Rating Systems, User Review Systems, Movie recommendation system. Title: Recommendation System Using Collaborative Filtering and Content Analysis in Web Usage Mining Author: Prof. Ujwal U.J, Prof. Dr. Antony P.J, Vijay D R International Journal of Computer Science and Information Technology Research ISSN 2348-1196 (print), ISSN 2348-120X (online) Research Publish Journals

Abstract: Diabetes is a group of metabolic diseases in which there are high blood sugar levels over a prolonged period. The chronic hyperglycemia of diabetes is associated with long-term damage, dysfunction, and failure of different organs, especially the eyes, kidneys, nerves, heart, and blood vessels.1 Proteinuria has been recognized as one of the earliest signs of renal function deterioration in diabetes mellitus. In the present study, an attempt has been made to establish the PCI in random urine samples, as a convenient, quick and reliable method for the estimation of proteinuria in diagnosing and monitoring diabetic nephropathy. An attempt has also been made to determine the optimal cutoff value of PCI for the prediction of significant proteinuria. This study signifies the role of urinary PCI in detecting even a minor increase in the protein excretion in a random urine specimen. Total of 50 samples were collected from the IPD and OPD patients, 25 patients aged 25 to 65 years, who were diagnosed as diabetics and were confirmed by the estimation of fasting serum glucose (>126 mg/dl). 25 normal healthy subjects, age and sex matched with the diabetic patients, were selected as the Controls. The comparison of urinary protein, urinary creatinine and urinary protein:creatinine index(PCI) between control and study group was analyzed using unpaired “t”-test. . The urinary protein levels were significantly increased, urinary creatinine levels were decreased and urinary protein:creatinine index was significantly higher in diabetic patients as compared to the control group. The present study suggests that random urinary PCI can be a good predictor of significant proteinuria in long term suffering patients of diabetes mellitus during diabetic nephropathy. This test could be a reasonable alternative to the 24-hour urine sample collection for the detection of significant proteinuria in diabetes mellitus patients. Keywords: Diabetes mellitus, Protein:creatinine index, Proteinuria. Title: ESTIMATION OF URINARY PROTEIN CREATININE INDEX IN DIABETES MELLITUS PATIENTS WITH MORE THAN 10 YEARS OF DIABETIC HISTORY Author: Gazallah Jabeen, Ashutosh Kumar International Journal of Civil and Structural Engineering Research ISSN 2348-7607 (Online) Research Publish Journals

Abstract: Short Message Service (SMS) has been widely exploited in day to day communication. SMS classification is the process of classifying queries into predefined departments. In this paper, we analyse the concept of new classification model which will classify mobile SMS into predefined departments such as examination, sports, admission etc. The main purposed of our system is to extract the answer for the SMS query sent by the student on the college server to fulfil the time quotient and provide best information in lesser time. The ideas introduced by the proposed system are ANN for classification of mobile SMS into predefined classes, feature selection and SVM based text message classification using document frequency threshold, a novel semi- supervised method to detect spam SMSs using frequent item set mining algorithm apriori. The methodologies discussed above had some drawbacks. So, this paper puts forward an idea of mobile SMS classification in which registered users can send query and get appropriate reply. Keywords: Pre-processing, term weight, TF-IDF, Fuzzy classification. Title: Mobile SMS Classification Author: Ruchika Bokey, Najuka Sheth, Rakhi Shende, Sunita Ghare International Journal of Computer Science and Information Technology Research ISSN 2348-1196 (print), ISSN 2348-120X (online) Research Publish Journals

Abstract: The microcontroller is the heart of this project to which the RFID reader and tags are interfaced which are similar to the Regulator of cylinder. Every cylinder is having unique RFID TAG through which the cylinder can be identified. The RFID reader is connected to microcontroller which in turn is connected to GSM hence whenever a theft occur it will send an alert to user. Failing of distribution of cylinder to particular customer will automatically send message to server and police that means unauthorized usages / distribution by local distributor men or selling the domestic cylinders to commercial point like hotels etc. Along with this our system is made so intelligent that it can sense GAS leakage and turn of the burner which with help of relay controlled by micro controller & will give buzzer in that case. Keywords: GPS, GSM, LPC2129, RFID, Gas Sensor Title: CENTRALIZED LPG CYLINDERS THEFT DETECTION SYSTEM WITH SECURITY ALERTS, Author: Pruthvi M R, Veena M International Journal of Computer Science and Information Technology Research ISSN 2348-120X (online) Research publish journals

Abstract: The Maestra (teacher): A mobile learning android application for beginner reader in Filipino is a tool that helps the children learn how to read in their early age and guide them in proper pronunciation. The contents of the application are the basic reading manuals like Abakada. This application can help the young age’s excel in class and at the same time practice while they are at home. The application runs on Android platform that has a version of 4.0 or ice cream sandwich up to kit Kat version. Agile Methodology was used in developing the application. It was designed using Adobe Photoshop and Android Studio for its coding. There were two testing tools that were used; these are the conformance testing and performance testing which both passed. In addition, the project was evaluated using the criteria on Android developers’ standard. Forty (40) participants evaluated the project, (10) It experts and (30) end user. The result in 10 It experts showed that the application is highly acceptable with the average mean of 3.54. The 40 end users showed that the application is moderately acceptable with the average mean of 3.5. Keywords: Mobile Learning, Android Application, Photoshop, Android Studio. Title: A Mobile Learning Android Application for Beginner Reader in Filipino Author: Gain Carlo U. Monzon, John Cyril O. Ramos, Jeffrey B. Jacob, Frank Kelvin B. Naynes International Journal of Computer Science and Information Technology Research ISSN 2348-1196 (print), ISSN 2348-120X (online) Research Publish Journals

Abstract: This paper describes the basic technological aspects of Digital Image Processing with special reference to satellite image processing. Basically, all satellite image processing operations can be grouped into three categories: Image Rectification and Restoration, Enhancement and Information Extraction. The former deals with initial processing of raw image data to correct for geometric distortion, to calibrate the data radiometrically and to eliminate noise present in the data. The enhancement procedures are applied to image data in order to effectively display the data for subsequent visual interpretation. It involves techniques for increasing the visual distinction between features in a scene. The objective of the information extraction operations is to replace visual analysis of the image data with quantitative techniques for automating the identification of features in a scene. This involves the analysis of multispectral image data and the application of statistically based decision rules for determining the land cover identity of each pixel in an image. The intent of classification process is to categorize all pixels in a digital image into one of several land cover classes or themes. This classified data may be used to produce thematic maps of the land cover present in an image. Keywords: Digital Image, Image Rectification, Image Restoration, Image Enhancement, Information Extraction. Title: Digital Image Processing Author: Patrick Olomoshola, Taiwo Samuel Afolayan International Journal of Computer Science and Information Technology Research ISSN 2348-1196 (print), ISSN 2348-120X (online) Research Publish Journals

Abstract: In computer security, authentication is such a technique by which the system identifies the genuine users. Among several authentication schemes password based authentication is still one of the widely accepted. Color password is widely famous, but it is prone to shoulder surfing attacks, in which an attacker can record the login procedure of a user for an entire session and can retrieve the user original PIN. Traditional PIN-entry methods are vulnerable to a wide class of observation attacks such as brute force attacks, side channel attacks etc. A number of alternative PIN-entry methods that are based on human cognitive skills have been proposed till date. These methods can be classified into two classes regarding information available to a passive adversary: fully observable and partially observable. In this paper, we propose an intelligent user interface, known as Color Lock to resist the password attacks so that any genuine user can enter the session PIN without disclosing the actual PIN. The Color Lock is based on a partially observable attacker model. The experimental analysis shows that the Color Lock interface is safe and easy to use. Keywords: Color PIN, Shoulder Surfing Attack, User Interface, Partially Observable. Title: Color Lock: Against Password Attacks Author: Joelin Mary Jose, Jannet Paul, Pradeep P Mathew International Journal of Computer Science and Information Technology Research ISSN 2348-1196 (print), ISSN 2348-120X (online) Research Publish Journals

Abstract: For authentication users mainly use PIN entry mechanism. Due to its usability and security aspects this scheme is popular. But one of the drawbacks of this scheme is that it suffers from shoulder surfing attack. An unauthorized user can fully or partially observe the login session in this attack. To get the actual PIN the attacker can record the activities of the login session and can use it later. In this paper,we propose an authentication method, known as Color Combo to resist the shoulder surfing attack so that user don’t have to disclose the actual pin all he/she has to enter is the session pin. This scheme is based on a partially observable model. This scheme is user friendly and takes only less time to complete. General Terms: Authentication, shoulder surfing attacks, session pin. Keywords: Feature table, color pins, partially observer model, one time paradigm. Title: Color Combo: An Authentication Method against Shoulder Surfing Attack Author: GOPIKA ANIL, CHIPPY MARY JOHN, PRADEEP P MATHEW International Journal of Computer Science and Information Technology Research ISSN 2348-1196 (print), ISSN 2348-120X (online) Research Publish Journals

Abstract: This study entitled “Larong Pinoy: An Android Game Application” was developed to teach young generation kids to learn the different traditional Filipino games. The main function of the application its games that users can play with. The development tools used were Unity 3D for coding, CrazyTalk Animator 2 for creating the characters and Adobe Photoshop for design. The game was tested using conformance test and compatibility test for the improvement of the performance of the application. The evaluation instrument used was based from the Android Core App Quality (developer.android.com) with the criteria of functionality, performance and stability, and Google Play. The evaluation was participated by ten (10) IT experts and thirty (30) mobile users. The overall mean garnered 2.87 with a Standard Deviation of 0.09 and interpreted as ―Fairly Acceptable‖. The result of evaluation shows that the mobile application is a tool used to learn the guidelines and mechanics of playing the traditional Filipino games. Keywords: Larong Pinoy, 3D, Android game application. Title: Larong Pinoy: An Android Game Application Author: Rhon Jherick A. Autriz, Merwin P. Casitas, Gerome T. Enriquez, Kristien Noel A. Nocon International Journal of Computer Science and Information Technology Research ISSN 2348-1196 (print), ISSN 2348-120X (online) Research Publish Journals