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This study presents a content control application usage on smartphones which can improve collaboration between children and parents. The importance of the parents' role is to provide a comprehension regarding the content of the application to children will make good communications between parents and children. So, the children can think and make decisions on something that they face. Parental control...
In common traditional learning, there are some weaknesses, one of which is students' limitation of receiving additional learning material. The use of e-learning in schools is expected to be a solution to these problems, because generally e-learning contains known traditional learning components such as group discussions, ideas submission and knowledge accumulation. Social Network allows users to do...
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...
Video is very beneficial for health consultations, monitoring, disease identification, customer satisfaction survey efforts on fitness, health information in youtube. However, if the video health tips from youtube are untrue, the information will harm the person. Additionally, it will create the emotion youtube users who are looking for health information. Negative emotions cause effects blood pressure...
The advancement of social computing on big data analytics create ease of doing analysis on various aspects of data mining through social media. One aspect which can be analyzed through social computing is banking services system. This research will focus on the association of consumer perceptions of services provided by the bank through the internet banking in Indonesia. The research data obtained...
The study proposes an automated vehicle class and color profiling system to specifically have distinct information on any apprehended car in an intelligent traffic system. The problem arises from the fact that traffic enforcers are sometimes unreliable with apprehending cars due to the lack of information on the violator. The solution is an automated system which consists of background difference...
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...
This paper presents an enhanced technique for contrast and visibility improvement for deep sea underwater image which is normally used for underwater robot. The proposed technique uses an integration approach of enhanced background filtering and wavelet fusion methods (EBFWF). The novelty lies in this case in its methodology and capability of the proposed approach to minimize negative underwater effects...
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...
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...
In Real-Time Systems, both logical requirements and temporal constraints must be satisfied. With the assumption that logical correctness of the computation is already not a big issue anymore, this paper surveys existing approaches to reduce computation time. In general, the computation results are available only after all computation elements (or operations) have been executed. Furthermore, existing...
The case of churn becomes a critical problem that often happens in many telecom companies. In many real cases of churn, imbalance and outlier data usually occurs in the dataset. These problems in some cases, make the conventional data mining approach is less successful to create a churn prediction model. Therefore, it is a concern of telecommunication service providers to investigate and developed...
This paper presents the methodology uses in preparing a conversation speech corpus for acoustic model training of Malay automatic speech recognition (ASR) in telco call center. Data preparation is significant and should be done properly in order to build robust model for an ASR system. We described the issues during filtering process and the list of sensitive data to be removed to avoid any personal...
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...
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...
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...
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