Vol 7 Issue 3 July 2019-September 2019

Abstract: The study entitled “Guess What? Brain Training Edition” A 2D Mobile Game Application for Android is intended for brain challenging entertainment to challenge the mind of the users in the form of a game. The game application can assess the user’s ability to think through challenging the brain using different training games available such as guess the operator, rock, paper, scissors, bird watching, follow the marks, past, present, future, pants, guess the result and notice me; each training games has a corresponding cognitive skill incorporated namely accuracy, speed, memory, logic, focus, and judgment The game application lets the user experience a thrilling and exciting way of comprehension and self-evaluation. The application designed with promoting common Filipino themed object and places by using these objects in the game as a form of questions. The application developed using Unity 3D game engine and coded by C# for graphics and Adobe Photoshop for user interface design. To test the game application, the researchers used test cases such as conformance and functionality testing. The test conducted to specify the errors and bugs in the application and able to address it for improvement of the overall quality of the application. The evaluation instrument used was based on the criteria for mobile application using MARS (Mobile Application Rating Scale) with the following criteria of Engagement, Functionality, Aesthetics, and Information. The overall outcome of the result of evaluation gathered a mean of “3.70” with a standard deviation of “0.48” which is interpreted as “Highly Acceptable”, this proves that the game application achieved its main purpose to challenge the mind of the users in the form of a game and will also have fun at the same time.

Keywords: Filipino Culture, Elementary Pupils, Araling Panlipunan, and Mobile Application.

Title: Guess What? Brain Training Edition: A 2D Mobile Game Application for Android

Author: Joven B. Cajigas, Jhunell B. Barcenas, Pia Jobelle J. Belardo, Gievel B. Cenizal, Alexander S. Dalag, Mary Lynn Joyce V. Pe

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

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Abstract:  This paper outlines research that was undertaken in Thailand in the Spring of 2019 into the factors that influence the use of automated wealth platforms (described in this paper as “Robo” Advice platforms). The research was a quantitative methods study undertaken by the use of a questionnaire, analysed with the aid of SPSS. The inferential statistical analysis determined the key factors that influence the use of “Robo” Advice platforms and statistically significant differences in perception based upon nationality, gender, and age.

Keywords:  Automated wealth platforms, “Robo” Advice platforms , AI, Artificial intelligence, Thailand research.

Title: Research into the use of Artificial Intelligence “Robo” Advice platforms in Thailand

Author: Andrew Sydenham, Dr J A Simcox

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

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Abstract: This paper details the findings of a combined USA Thai Social media marketing study undertaken in the fall of 2018. The study explored the relationship between Social media tactics, channels, commerce site visits and actual purchases, as well as any differences based upon age, Nationality, and gender.

Keywords:  Social  media Marketing , Thailand research, USA research. SMM effectiveness.

Title: Research into the effectiveness of Social media marketing on E-commerce site visits and purchase completion, a combined study of American and Thai Social media users

Author: Zahra M. Abdirizak, Dr J A Simcox

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

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Abstract: As the complexity of enterprise systems increases, the need for monitoring and analyzing such systems also grows. A number of companies have built sophisticated monitoring tools that go far beyond simple resource utilization reports. For example, based on instrumentation and specialized APIs, it is now possible to monitor single method invocations and trace individual transactions across geographically distributed systems. This high-level of detail enables more precise forms of analysis and prediction but comes at the price of high data rates (i.e., big data). To maximize the benefit of data monitoring, the data has to be stored for an extended period of time for ulterior analysis. This new wave of big data analytics imposes new challenges especially for the application performance monitoring systems. The monitoring data has to be stored in a system that can sustain the high data rates and at the same time enable an up-to-date view of the underlying infrastructure. With the advent of modern key-value stores, a variety of data storage systems have emerged that are built with a focus on scalability and high data rates as predominant in this monitoring use case.

Keywords: application performance management (APM).

Title: The Evolution of Application Performance Management

Author: TANMAY KELKAR

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

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Abstract: New alternatives for relational database models have been introduced and highly recommended for big data applications, which are NoSQL  and NewSQL database management systems. This paper contains a comparative study of MongoDB as an implementation of NoSQL database and VoltDB as  an implementation of NewSQL database. The comparison was based on the execution time of the four basic operations: INSERT, DELETE, UPDATE and Query (select) operation. The Results show that MongoDB and VoltDB have a high performance in handling big data, but in this experiment VoltDB perform much faster than MongoDB for most of the operations.

Keywords: Comparison, MongoDB, NewSQL, NoSQL, VoltDB.

Title: Comparative Study MongoDB vs. VoltDB

Author: Amany M. Al Luhaybi, Fahad AlQurashi

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

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Abstract: The term multimedia defines applications and technologies that include text, data, images, voice and full motion video objects. Instructional designers develop a variety of multimedia products such as print based material, job aids and electronics support systems, websites, games and simulations. It is essential for instructional technologists to develop high quality multimedia products. “Quality” in a multimedia product signifies 1) functionality 2) look and feel and 3) effective instructional content. For the students to stay current with the latest multimedia tools in the market, and develop quality products it is important to identify multimedia competencies that they have to be competent in.

Keywords: Multimedia – Definition – VLSI – 2D – Elements – Text – Graphics – Animation – Interactive – Hyperactive – linear – New Technology – VR – Digital Image – Conclusion.

Title: Basic Contents of Multimedia

Author: Rajarajeswari Subramanian

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

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Abstract: Currently, it is noticeable that NoSQL databases have been increased in popularity, which was due to the current emphasis on “Big Data”. Such databases are believed to implement well again the traditional SQL databases. Therefore, this research aims to investigate independently the performance of SQL databases and some of NoSQL DBs, taking into consideration the key-value stores, compare the Redis database operations such as write, read, and delete implemented on key-value stores with SQL and NoSQL databases. An abstract framework of pair of key-value that support these processes is implemented and designed using all the tested databases. The outcomes of the experiment compute the time taken by these operations. The findings prove that not necessary all NoSQL act better than the SQL databases. Moreover, some of them were found to be much worse. In addition, the evaluation for each database showed that the performing be different with each operation, whereby some show a slow performance to read, but it is fast deleting and writing, and the rest were fast in reading, but slow in the other operations.

Keywords: Relational Database, non-relational database, SQL, NoSQL, RavenDB, Cassandra, Redis, MS SQL Express.

Title: Performance Evaluation of Relational Databases and Non-Relational Databases

Author: Dr. Fahad A al Qurashi, Maha H Alotibi

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

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