Volume 11, Issue 11, November 2019

 

 

Radial Basis Function Neural Network-Based Indoor Positioning System
 

Radial Basis Function Neural Network-Based Indoor Positioning System

Pages: 235-242 (8) | [Full Text] PDF (707 KB)
AT Salim, EA Mohammed
Computer Engineering and Information Technology, University of Ninevah, Mosul, Ninevah 81011, Iraq
Computer Engineering Technology, Northern Technical University, Mosul, Ninevah 81001, Iraq

Abstract -
Indoor positioning system (IPS) is a useful technology for many applications such as tracking objects, finding objects, tracking persons inside a building - etc. In this study an indoor position system has been designed and implemented based on neural network. Depending on WI-FI Received Signal Strength (RSS) indoor position system has been implemented the case study building was computer engineering department fingerprint technology is used by using 32 reading for each point in the building top floor. The floor is marked with reference points 54 points with (1.16) meter distance between each point. Radial Basis Function (RBF) is another type of Neural Network that has been used in this research. RBFNN gives a training time of 69.63 sec and MSE equal to 0.00761775 and MSE for validation was 0.006856 and the MSE for the testing was 0.013331 which is considered the fastest approach to find the position. The above algorithm has been applied by using Graphical User Interface (GUI).
 
Index Terms - Indoor positioning, Fingerprinting, Neural network, Radial Basis Function

Citation - AT Salim, EA Mohammed. "Radial Basis Function Neural Network-Based Indoor Positioning System." International Journal of Computer Engineering and Information Technology 11, no. 11 (2019): 235-242.

Formal Verification of Conditionally Evolving Memory
 

Formal Verification of Conditionally Evolving Memory

Pages: 243-257 (15) | [Full Text] PDF (1.08 MB)
C Weerakoon, A Karunananda, N Dias
Department of Statistics & Computer Science, University of Kelaniya, Kelaniya, Sri Lanka
Department of Computational Mathematics, University of Moratuwa, Katubedda, Sri Lanka
Department of Computer Systems Engineering, University of Kelaniya, Sri Lanka

Abstract -
In Von Neumann architecture (VNA) and in many of the computing models based on VNA, the memory is separated from the processor. Conversely, the human memory is an evolving result of continuous processing. Therefore, the processing in human mind become efficient over subsequent processing cycles. As such, a six-state continuous processing model has been introduced to the conventional computers imitating this evolving memory to enhance the performance of computing. Further, this model has been implemented in a Fraction Calculator and a Quadratic Equation Solver. With the experiments conducted over these applications, it could prove that the accurate solutions can be provided faster over subsequent execution cycles with an evolving smaller memory. Moreover, this paper presents the formal verification of the model by simulating it with a non-deterministic Turing machine. Then, its satisfiability and the NP-completeness have been proved using Cooks theorem, hence proving its real-world applicability in theoretical level.
 
Index Terms - Six-state Continuous Processing Model, NP-Completeness, Satisfiability, Buddhist Theory of Mind, Smaller Memory

Citation - C Weerakoon, A Karunananda, N Dias. "Formal Verification of Conditionally Evolving Memory." International Journal of Computer Engineering and Information Technology 11, no. 11 (2019): 243-257.

Information Communication Technology Acceptance and Use by Yemeni Microfinance Employees
 

Information Communication Technology Acceptance and Use by Yemeni Microfinance Employees

Pages: 258-267 (10) | [Full Text] PDF (538 KB)
AA Homaid
College of Science and Humanities, Shaqra, Shaqra University, Saudi Arabia

Abstract -
Microfinance is regarded as a powerful and effective tool for fighting and eradicating poverty across the world. Due to the crucial role of Information Communication Technology (ICT) in fostering microfinance Institutions (MFIs) to be more efficient and effective, understanding the factors influencing the acceptance and use of ICT by MFIs employees is a serious issue. Thus, this study aims at exploring the factors influencing the acceptance and usage of ICT among microfinance employees in Yemen by applying Technology Acceptance Model (TAM) as an underpinning model. It has been extended by the inclusion of self-efficacy and training to create an applicable technology acceptance model to the unique microfinance industry and similar ones. It employed the quantitative method distributing a survey questionnaire to MFIs employees and collected a total of 276 usable questionnaires for the final analysis. The partial least square structural equation modeling PLS 3.2.8 was utilized for testing measurement and structural models. The findings revealed that perceived usefulness, perceived ease of use and self-efficacy are significant variables that affect behavior intention of microfinance employees to accept and use ICT. Moreover, training is proven to be a significant predictor of perceived usefulness, perceived ease of use, self-efficacy and behavior intention. More importantly, the findings show that behavior intention is the most prominent predictor influencing use behavior among the study hypothesized relationships. This study contributes significantly to the body of knowledge in the area of information technology as it validates the results of the previous studies in an infant and unique industry like microfinance. It also assists the MFIs management and other stakeholders in making proper interventions and designing appropriate strategies that result in MFIs sustainability and better living standards for the poor.
 
Index Terms - ICT, TAM, MFIs Employees, Yemen

Citation - AA Homaid. "Information Communication Technology Acceptance and Use by Yemeni Microfinance Employees." International Journal of Computer Engineering and Information Technology 11, no. 11 (2019): 258-267.