Dec'20

The IUP Journal of Information Technology

Focus

MAS research focuses on modeling and simulation of complex systems using autonomous interacting agents. Over the years, MAS research has resulted in a lot of success, and agent-based system has been applied in wide-ranging fields. Agent-based modeling has been used in biological applications to study the spread of epidemics, population dynamics, human immune system, cognitive modeling, preclinical research and drug design. Agent-based models have been noticed commonly in business and technology that include supply chain optimization, consumer behavior, finance and marketing, workforce management, distributed computing, and network traffic congestion and control. Agent-based applications are used in healthcare domain for patient care and monitoring, telemedicine, medical record management, emergency department management, etc. Recent interest in agent-based modeling applications has been found in robotic logistics and planning, autonomous vehicles, and video games where complex interactions require task allocation, scheduling, path finding and navigation. As it is multidisciplinary in nature, agent technology requires further research attention to develop many more efficient algorithms, techniques and tools so that it can be brought into mainstream approach to application development.

The first paper, "An Intelligent Agent-Based Stock Market Decision Support System Using Fuzzy Logic", by Ijegwa David Acheme, Ayodeji Samuel Makinde, Osemengbe Udinn and Wilson Nwankwo, proposes a MAS model for stock market acronymed as Agent-based Fuzzy logic Stock Market (AFUSM) for automated trading. The MAS architecture uses both mobile and stationary agents representing the investor and trader, i.e., Investor Agent and Broker Agent. The model makes use of technical analysis of stocks in a Technical Analysis Module and provides inputs to Fuzzy Inference Module, which in turn provides investment recommendations of buy, sell or hold to the trading agents. Implemented using JADE and MATLAB tools, the model shows satisfactory simulation results for automated stock market.

The second paper, "The Effect of Educational Technology on Cadets' Academic Performance in a Military University", by Abraham E Evwiekpaefe and Valerie P Lawi, determines the effect of educational technology on cadets' academic performance in Nigerian Defence Academy (NDA). It shows that factors such as performance expectancy, effort expectancy, behavioral intention, teaching effectiveness and actual usage have a positive effect on academic performance.

The last paper, "Explaining Online Education Adoption Using Technology Acceptance Model: An Analysis from Parents' Perspective", by Seemant K Yadav and Saroj Yadav, presents a study on acceptance of e-learning, capturing the perspectives of parents. Data collected from parents of the students studying in class 1 to 12 during Covid-19 pandemic was subjected to statistical analysis. The results are mixed but interesting, and explained adequately.

-A C Ojha
Consulting Editor

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Article   Price (₹) Buy
An Intelligent Agent-Based Stock Market Decision Support System Using Fuzzy Logic
50
The Effect of Educational Technology on Cadets' Academic Performance in a Military University
50
Explaining Online Education Adoption Using Technology Acceptance Model: An Analysis from Parents' Perspective
50
       
Articles

An Intelligent Agent-Based Stock Market Decision Support System Using Fuzzy Logic
jegwa David Acheme, Ayodeji Samuel Makinde, Osemengbe Udinn and Wilson Nwankwo

Fluctuations in prices and complexities of the stock market have made investment decision a difficult task. The paper proposes an Agent-based Fuzzy logic Stock Market (AFUSM) model which incorporates agent technology, fuzzy logic, and technical analysis to address this problem. The architecture of AFUSM comprises three components: technical analysis, fuzzy inference, and mobile agents. In the technical analysis component, stock data captured from the Nigerian Stock Exchange were used to compute four chosen technical indicators. These are Moving Average Convergence/Divergence, Relative Strength Index, On-Balance-Volume and stochastic oscillator. These indicators served as inputs for the Fuzzy Inference System (FIS), which were expressed as fuzzy linguistic variables. The membership functions were defined as low, medium and high depending on the position of the chart indicator. The fuzzy IF-THEN rules involving the linguistic variables are a combination of the trading rules for each of these indicators. The output of the fuzzy inference is an investment recommendation of buy, sell or hold, which serves as input to the trading agents for automated trading. AFUSM was implemented in MATLAB 2013 and JADE 4.3. A total of 236 data points were captured from two Nigerian banks and used for testing the system. The results showed that the AFUSM agent made over 83% correct trading decisions. This showed that AFUSM could be deployed as an efficient decision support tool to aid investors in decision making.


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Article Price : Rs.50

The Effect of Educational Technology on Cadets' Academic Performance in a Military University
Abraham E Evwiekpaefe and Valerie P Lawi

In this era of rapid technological advancement, Educational Technology (ET) can be utilized to improve the academic performance of students. It is therefore necessary to consider the individual and salient factors that play an important role in the use of ET with regard to academic performance. This study proposes a model to determine the effect of ET on cadets' academic performance in Nigerian Defense Academy (NDA), Kaduna, Nigeria. The study employs the survey method, choosing 120 cadets randomly from the five faculties at NDA. A questionnaire containing 32 questions was administered. The hypotheses were tested using the Pearson product moment correlation coefficient in SPSS statistics. The result shows that there was a positive effect of performance expectancy, effort expectancy, behavioral intention, teaching effectiveness and actual usage on academic performance. However, facilitating conditions and social influence had no significant effect on academic performance. The proposed model fits moderately at 42.9%. However, the findings demonstrate some challenges facing the cadets in using ET, which included insufficient ET tools, inability to access internet facilities and lack of sufficient time to use the available technology due to the hectic military training. The study recommends that NDA should invest more in providing and maintaining ET. Lecturers should be more acquainted with the use of ET, gives its positive impact on academic performance.


© 2020 IUP. All Rights Reserved.

Article Price : Rs.50

Explaining Online Education Adoption Using Technology Acceptance Model: An Analysis from Parents' Perspective
Seemant K Yadav and Saroj Yadav

The study utilizes the technology acceptance model in the domain of e-learning, focusing on students' parents as respondents. Due to Covid-19 pandemic, the economies are facing a troublesome situation, and every sector is being badly affected. In the midst of all this, face-to-face interaction of teaching-learning is being replaced by virtual/online interaction, and almost every country of the world is migrating towards the online education system. It creates an opportunity for the parents to interact, involve and be familiar with the present virtual education platform. As home-based parental participation in online education is the least explored area of research, this study addresses the issue concerned with the help of technology acceptance model.


© 2020 IUP. All Rights Reserved.

Article Price : Rs.50