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Keyword: PerformanceApproach to Combine an Ontology-Based on Payment System with Neural Network for Transaction Fraud Detection
Fraud, as regards means of payment, means the behavior of any legal or natural one that makes an abnormal or irregular use of a way of payment, elements of it or information contained therein, to improperly obtain an honest, service or enrichment, and or causing financial damage to the one that has distributed the means…
Read MoreUnderstanding Human Perception of Vibrotactile Feedback in Walking and Running Tasks
Vibrotactile feedback is increasingly becoming an essential feedback component in several non-medical and medical areas. One area that vibrotactile feedback has not been explored as an intervention tool is in sports science. In addition, vibrotactile feedback lacks scientific evidence as a feedback mechanism within the sports world. A portable vibrotactile feedback system was developed to…
Read MoreA Simple Modelling Tool for Fast Combined Simulation of Interconnections, Inter-Symbol Interference and Equalization in High-Speed Serial Interfaces for Chip-to-Chip Communications
We describe an efficient system-level simulator that, starting from the architecture of a well-specified transmissive medium (a channel modelled as single-ended or coupled differential microstrips plus cables) and including the system-level characteristics of transmitter and receiver (voltage swing, impedance, etc.), computes the eye diagram and the bit-error rate that is obtained in high-speed serial interfaces.…
Read MoreOn the Ensemble of Recurrent Neural Network for Air Pollution Forecasting: Issues and Challenges
Time-series is a sequence of observations that are taken sequentially over time. Modelling a system that generates a future value from past observations is considered as time-series forecasting system. Recurrent neural network is a machine learning method that is widely used in the prediction of future values. Due to variant improvements on recurrent neural networks,…
Read MoreAlternative Braking Method for Small Scaled-Wind Turbines Connected DC Green House with Analogical Experiment on Blade Destruction
To supply a stable and efficient electricity, small-scaled wind turbine’s brake system plays an immense role in various wind speeds. Small-wind power generation systems are difficult to operate in strong wind region since the turbine could be over-rotated and damaged if the brake system is not robust enough to maintain a stable angular velocity. Most…
Read MoreThe Usability Evaluation of Academic Progress Information System (SIsKA-NG)
Limited functionalities of the Academic Progress Information System (SIsKA) has direct consequences on the quality of thesis management service at the authors’ magister study program of the authors’ university. This research focused on the significant improvement from the previous User Experience Questionnaire (UEQ) result of SIsKA. That significant improvement was based on the recommendations from…
Read MoreA Comparative Analysis of ARIMA and Feed-Forward Neural Network Prognostic Model for Bull Services
Bull service is the natural copulation by a purebred male carabao with a female counterpart. This is part of the bull loan agenda of the Philippine Carabao Center-Visayas State University (PCC-VSU), one of the 12 regional centers of PCC. For the past years, PCC-VSU used averaging of bull services count of previous years and sometimes…
Read MoreWilson-Hilferty-type Approximation for Poisson Random Variable
The possibility to apply non-linear transformation of the Wilson-Hilferty type to the Pois- son random variable is investigated using an analytic approach, in order to improve the convergence towards the large-parameter Gaussian limit. Considering the already existing non-linear transformation for the Gamma distribution, the original Wilson-Hilferty and a higher-order transformations are showed and approximations for…
Read MoreExtending Movable Surfaces with Touch Interaction Using the VirtualTablet: An Extended View
Immersive output and natural input are two core aspects of a virtual reality experience. Current systems are frequently operated by a controller or gesture-based approach. However, these techniques are either very accurate but require an effort to learn, or very natural but miss haptic feedback for optimal precision. We transfer ubiquitous touch interaction with haptic…
Read MoreOptimization of Low Temperature Differential Stirling Engine Regenerator Design
Stirling engines working with relatively low temperature are attractive for the future, especially for applications like water pumping without concentration system and low temperature heat recovery. The present work is the continuation of a series of works on the optimization of this type of machines. The main objective of this paper is to investigate the…
Read MoreA Study on the Effects of Combining Different Features for the Recognition of Handwritten Bangla Characters
This paper studies and compares the effectiveness of four different features and their combinations on the recognition accuracy of handwritten Bangla characters. The longest run, chain code histogram, shadow, and Gabor filter-based features and their eleven (11) combinations were tested on a standard Bangla database of 15; 000 basic handwritten characters to compare their recognition…
Read MoreSatisfaction of Old Graduates of Zootechnical Engineering for Improvement of Educational Quality at the UNCP
Concept of university higher education quality is linked to the relevance of an educational project that promotes institutional transformation to improve the comprehensive training of new professionals. In this context, the research objective is to determine the graduates satisfaction level, trained with curricula 1979, 1985 and 1995 who have more than 20 years of graduation…
Read MoreTransfer Learning and Fine Tuning in Breast Mammogram Abnormalities Classification on CBIS-DDSM Database
Breast cancer has an important incidence in women mortality worldwide. Currently, mam- mography is considered the gold standard for breast abnormalities screening examinations, since it aids in the early detection and diagnosis of the illness. However, both identification of mass lesions and its malignancy classification is a challenging problem for artificial intelligence. In this work,…
Read MoreIn Body Antenna for Monitoring and Controlling Pacemaker
This paper is an extension of work originally presented in 2019 International Conference on Automation, Computational and Technology Management (ICACTM). A micro-strip patch in-body designed antenna is constructed on pacemaker to monitor and control the pacemaker wirelessly. The antenna is intended for ISM (Industrial, Scientific, and Medical) band (2.4 GHz to 2.48 GHz). A perfect…
Read MoreDesign and Validation of a Meter Band Rate in OpenFlow and OpenDaylight for Optimizing QoS
Technological developments in the Internet and communications have created a vastly complex and dynamic context with diverse heterogeneous networks and fast growth of mobile devices and multimedia. As the Internet becomes the primary mode of communication for many organisations there is requirement to enhance quality of service (QoS) from heterogeneous systems and networks. Traditional networks…
Read MoreDistributed Linear Summing in Wireless Sensor Networks with Implemented Stopping Criteria
Many real-life applications based on the wireless sensor networks are equipped with data aggregation mechanisms for suppressing or even overcoming negative environmental effects and data redundancy. In this paper, we present an extended analysis of the linear average consensus algorithm for distributed summing with bounded execution over wireless sensor networks. We compare a centralized and…
Read MoreResource Selection Service Based on Neural Network in Fog Environment
As an emergent technology in Internet of Things (IoT), the ultimate target of fog computing is to provide a widely distributed computational resources and data repository closer to the network edge providing heterogeneous systems both in terms of software and hardware. The fog system must have the capability to deal with huge number of resources…
Read MoreOptimization of the Feeding Point Location of Rectangular Microstrip Patch Antenna
Microstrip patch antennas (MPAs) are comfortable and have better anticipation compared to traditional antennas. Not only the weight of this type of antennas is lighter but also, they have little capacity, minimum price, reduced in measurement as well as affluence of fiction then observance. Recently, it has been many times reevaluated for the improvement of…
Read MoreDesign of Efficient Convolutional Neural Module Based on An Improved Module
In order to further improve the feature extraction performance of the convolutional neural networks, we focus on the selection and reorganization of key features and suspect that simple changes in the pooling layers can cause changes in the performance of neural networks. According to the conjecture, we design a funnel convolution module, which can filter…
Read MoreSkin Tissue Oxygen Saturation Prediction: A Comparison Study of Artificial Intelligence Techniques
Noninvasive measurement of skin tissue oxygen saturation, StO2, is of interest especially in the studies of wound healing and detection of vascular diseases. This work aims to compare Partial Least Square (PLS) regression, K-Nearest Neighbor (KNN) and Artificial Neural Network (ANN) technique in the prediction of StO2 using spectral data obtained from Monte Carlo simulations.…
Read MoreStress Response Index for Traumatic Childhood Experience Based on the Fusion of Hypothalamus Pituitary Adrenocorticol and Autonomic Nervous System Biomarkers
Stress occurring in the early days of an individual was often assumed to cause several health consequences. A number of reports indicated that having to deal with unfavourable events or distress situation at a young age could tweak stress responses leading to a broad spectrum of poor mental and physical health condition. Therefore, changes identified…
Read MoreImplementation of Paraconsistent Logic Based PI Controller for TA Converter
A novel control technique is implemented for TA converter. This converter is used for charging of electric vehicle Battery from a Photo Voltaic (PV) Module. TA converter is one type of non-isolated buck-boost converter. This converter provides positive output voltage. This article is an extension work that is originally presented in 2019 IEEE International Conference…
Read MoreComparative Study of Semantic and Keyword Based Search Engines
Day by day, the data on the web becomes very huge which makes it difficult to find relevant information. Search engines are one of the successful factors that can retrieve information from the Web. The process of seeking information by search engines helps users find information on the internet, however it is not an easy…
Read MoreWindowing Accuracy Evaluation for PSLR Enhancement of SAR Image Recovery
Synthetic aperture radar (SAR) is an imaging device mounted on a moving platform. Its ability to identify a weak target from a nearby strong one depends upon the peak side lobe ratio (PSLR). This paper is intended to ameliorate such important ratio through the use of windowing of the transmitted pulse and studying the noise…
Read MoreANFIS-Based Climate Controller for Computerized Greenhouse System
The greenhouse climate system is very hard to manipulate because the variables involved are closely correlated. This study aims to enhance the regulation performance of greenhouse climate system based on adaptive neural-fuzzy inference system (ANFIS). The ANFIS is a hybrid technique that incorporates the fuzzy logic theory and artificial neural network algorithms. The employed control…
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