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Implementation of e-banking services system provides various advantages for the company are cost and time efficiencies, and be able to create differentiation and able to target market segments with low cost. To determine the underlying motives customers to select and prefer one channel and the other required a systematic exploration of the customer perception. This study aims to understand the customers'...
Human gender detection from body profile is an important task for surveillance. Most surveillance cameras are placed at a distance such that it is not possible to see people's face clearly. In this paper, we report the comparison between fast-feature pyramids and deep region-based convolutional neural network (RCNN) to detect a person in surveillance images. Since RCNN performs better in detecting...
In this paper, a Temporal Gradient Patterns (TGP) method is proposed for gait recognition. The method first computes the gradients of the silhouette in each image. Subsequently, the gradient of each pixel determines the bin number to which the pixel belongs to. The bin number of current and next frame jointly cast a vote to the corresponding index in the matrix of oriented gradients. The obtained...
In modeling calibration, a dependency among predictor variables becomes major problem resulting in a not unique given model parameter estimation. This problem may degrade the performance value of the calibration model. A concentration of drug's active compound in 20 locations involving the proceeds percent transmittance observed at 1866 wavelengths as a predictor variable. The magnitude of the dimensions...
This paper presents the simulation of 2D dry-wet radial dambreak cases using shallow water equations on multicore processing. Here, OpenMP for parallel computing is used. The CPU time for parallel programming with N = 800 points is shown almost similar to the the CPU time for serial programming with N = 400. The speedup and efficiency using parallel with 16 processors are obtained 7.8 times for dry...
In a metropolitan, to find a restaurant in rush hour is a challenging activity to do. It is going to be easy, when someone accesses an application and it recommend the best restaurant then he / she can visit to. Through using combination between methods fuzzy-logic and bubble-sort that were realized in customer preference case, an intelligent application for restaurant recommendation was technologically...
A systematic review is practically necessitated to understand a whole view of the research. It is a type of research that is previously able to be done before conducting a main research activity. The purpose of this paper is to investigate soft system methodology (SSM) use in the research field of information systems (IS). The method systematic review was operated in this study, particularly to systematically...
The aim of this paper is to simulate the traffic flow from conservation laws model. In the conservation model, the velocity function is approximated by the observation data using polynomial least square approximation. The observation data which is consists of a relation between density and velocity is obtained from real traffic flow. The study case of this research is conducted from Jalan Buah Batu,...
Polycystic ovary syndrome (PCOS) is a hormonal endocrine disorder that infect many women in their reproductive cycle. It is a concern in a married couple because it is related fertility rate of women. One of the criteria for diagnosing PCOS are polycystic ovaries (PCO). Polycystic ovaries can be seen from the number and diameter of each follicle on ultrasound image. In previous studies, there are...
Water is considered as the blood of the irrigation system. It is a basic necessity in farms so as to have a high amount of production. For some farms located in higher elevation, electric motor pump is being used to collect water from underground reservoir. Since electric motor pumps will be used, electric consumption issue is also a concern. Proper allocation of available resources is one of the...
Artificial Neural Network (ANN) method is increasingly popular to build predictive model that generated small error prediction. To have a good model, ANN needs large dataset as an input. ANN backpropagation is a gradient decrease method to minimize the output error squared. Stock price movements are suitable with ANN requirement: it is a large data set because stock price is recorded up to every seconds,...
Reciting Al-Qur'an sometimes becomes hard to do for Indonesian because Al-Qur'an was written in Arabic which is not the native language of Indonesian. The common mistake for Indonesian is pronouncing the Hijaiyah letters. In this paper, we propose to utilize the ability of Speech Recognition to help people learn reciting Al-Qur'an in the right way. This system is built using K-Nearest Neighbor (KNN)...
In this paper, we present C500-toolkit, a new tool for malware detection in Commercial-off-the-shelf routers, based on dynamic analysis approach. This proposed method aims at emulating both web-interface and operating system of firmware image, allowing user gather adequate information for the identification of vulnerabilities and malwares. C500-toolkit is the first prototype that targets firmware...
Understanding market segmentation is a crucial aspect for business organizations to survive in high competitive environment. Traditional approach relies on sampling methodologies to gather demographic and other specific properties of market segment is considered expensive. The need of real-time decision making force us to adopt the new approach, which is taking advantage of social media data. In this...
Water flooding can be governed by Buckley-Leverett equation. Its analytic solution is constructed by following its characteristic curve. Whereas the numerical solution is approached using Godunov scheme. The computational results are shown in a good agreement with the analytic solution. The solutions consist of both shock and rarefaction waves. In the results, the amount of oil will be pushed by the...
This paper discusses about implementation of shared parallel architecture OpenMP platform on two-dimensional shallow water equations. Finite volume method that is used to approximate these equations is called staggered grid scheme. The performance of numerical implementation is shown for number of grids (Nx, Ny) more than (16, 16). The results using parallel processing OpenMP for two numbers of threads...
The analysis of parallel performances in simulation of forest fires using Cellular Automata (CA) is considered in this paper. Two simulations are given, simulation of forest fire with topography and wind effects. Here, the Von Nuemann rule of CA is used. From the numerical simulations, the CPU time for several grids 100×100, 200×200, 400×400, 800×800, and 1600×1600. Using number of grids 1600×1600,...
Big data has been widely spread throughout social media in this digital era. Indeed, it is a good chance for business to get the information in real time. Since the data from social media is unstructured, thus we need to process it beforehand. Machine learning needs proper training data that makes the classification model perform accurately. In order to actualize it, we need a qualified domain knowledge...
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