• 제어로봇시스템학회:학술대회논문집
• /
• 2001.10a
• /
• pp.91.4-91
• /
• 2001

In this paper, a development of the sensor fusion algorithm for a visual control of mobile robot is presented. The output data from the visual sensor include a time-lag due to the image processing computation. The sampling rate of the visual sensor is considerably low so that it should be used with other sensors to control fast motion. The main purpose of this paper is to develop a method which constitutes a sensor fusion system to give the optimal state estimates. The proposed sensor fusion system combines the visual sensor and inertial sensor using a modified Kalman filter. A kind of multi-rate Kalman filter which treats the slow sampling rate ...

• 제어로봇시스템학회:학술대회논문집
• /
• 2000.10a
• /
• pp.120-120
• /
• 2000

In this study, in order to control real system under the environment of graphic user interface, study on the technique which can control real system without additional hardware drivers using virtual machine driver operated on the windows operating system. Consider the problem which is the error and the delay of a sampling time on the multi task processing through the load test of the experiment using graphic user interface.

• Journal of the Korean Society for Industrial and Applied Mathematics
• /
• v.9 no.1
• /
• pp.31-53
• /
• 2005

We analyze some real data and, from the background of analysis of data, we define a multi-dimensional jump-type asset model which is derived from short-sampling asset prices. We study some basic properties of this asset model.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
• /
• 1999.04a
• /
• pp.6-7
• /
• 1999

• The Journal of Internal Korean Medicine
• /
• v.41 no.1
• /
• pp.14-28
• /
• 2020

Objectives: The aim of this study was to analyze consumer experience with Digestive Enzymes, a digestive enzyme product that includes medicinal herbs (Multi-Zyme^®). The goal was to provide basic data on improvements and marketability of future digestive enzyme products containing medicinal herbs. Methods: Qualitative research was conducted to explore the current participants' experience. In-depth interviews with a semi-structured interview guide were conducted to investigate the experience and perception of the participants. The participants were recruited using snowball sampling and purposive sampling, and a qualitative content analysis method was adopted. Credibility was ensured by adopting a member check, triangulation, and peer debriefing method. Results: In-depth interviews were completed with a total of 8 participants. The collected data were classified into 16 codes and then further divided into the following seven categories: direct buying, indirect buying, effects, questions, recommendations, positive perception, and negative perception. The categories were grouped into three themes: 'Experience of purchasing existing health foods', 'Experience of taking Multi-Zyme', and 'Opinions on selling Multi-Zyme at Korean medicine clinics'. Conclusion: The participants experienced effect of the Multi-Zyme^® and were willing to recommend it around. However, the Korean medicine doctors need to inform consumers about the dose and duration when taking Multi-Zyme^® to prevent abuse. Some consumers may trust Multi-Zyme^® sales from Korean medicine clinics, but some held opinions that those sales were not trustworthy, so promotion and improvement are needed.

• Journal of Satellite, Information and Communications
• /
• v.9 no.4
• /
• pp.104-110
• /
• 2014

This paper considers two reconstruction schemes of structured-sparse signals, turbo inference and Markov chain Monte Carlo (MCMC) inference, in compressed sensing(CS) technique that is recently getting an important issue for an efficient video wireless transmission system using multi-copter as an unmanned aerial vehicle. Proposed reconstruction algorithms are setting importance on reduction of image data sizes, fast reconstruction speed and errorless reconstruction. As a result of experimentation with twenty kinds of images, we can find turbo reconstruction algorithm based on loopy belief propagation(BP) has more excellent performances than MCMC algorithm based on Gibbs sampling as aspects of average reconstruction computation time, normalized mean squared error(NMSE) values.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.8 no.6
• /
• pp.899-905
• /
• 2013

In this paper, we focus on how to calibrate multi-cameras easily and how to efficiently detect quad-copters with small-numbered particles. Each particle is a six dimensional vector that is composed of 3D position and 3D orientation of a quad-copter in the space. Due to curse of dimensionality, that leads to explosive computational costs with a large amount of high-dimensioned particles. To detect efficiently, we need to put more particles in very promising spaces and few particles in other spaces. Though computational cost is lowered by minimizing particles, in order to track a quad-copter with multiple cameras in real-time, multiple images from the cameras should be synchronized and analyzed. Therefore, lots of the computations still need to be done. Because of this, GPGPU(General-Purpose computing on Graphics Processing Units) is implemented for parallel computing. This method has been successfully tested and gives accurate results in practical situations.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.45 no.3
• /
• pp.15-21
• /
• 2008

This paper presents a new association mining algorithm that uses two phase sampling for shortening the execution time at the cost of precision of the mining result. Previous FAST(Finding Association by Sampling Technique) algorithm has the weakness in that it only considered the frequent 1-itemsets in trimming/growing, thus, it did not have ways of considering mulit-itemsets including 2-itemsets. The new algorithm reflects the multi-itemsets in sampling transactions. It improves the mining results by adjusting the counts of both missing itemsets and false itemsets. Experimentally, on a representative synthetic database, the algorithm produces a sampled subset of results with an increased accuracy in terms of the 2-itemsets while it maintains the same 1uality of the data set.

• Structural Engineering and Mechanics
• /
• v.32 no.1
• /
• pp.95-126
• /
• 2009

The present contribution addresses the parallelization of advanced simulation methods for structural reliability analysis, which have recently been developed for large-scale structures with a high number of uncertain parameters. In particular, the Line Sampling method and the Subset Simulation method are considered. The proposed parallel algorithms exploit the parallelism associated with the possibility to simultaneously perform independent FE analyses. For the Line Sampling method a parallelization scheme is proposed both for the actual sampling process, and for the statistical gradient estimation method used to identify the so-called important direction of the Line Sampling scheme. Two parallelization strategies are investigated for the Subset Simulation method: the first one consists in the embarrassingly parallel advancement of distinct Markov chains; in this case the speedup is bounded by the number of chains advanced simultaneously. The second parallel Subset Simulation algorithm utilizes the concept of speculative computing. Speedup measurements in context with the FE model of a multistory building (24,000 DOFs) show the reduction of the wall-clock time to a very viable amount (<10 minutes for Line Sampling and ${\approx}$ 1 hour for Subset Simulation). The measurements, conducted on clusters of multi-core nodes, also indicate a strong sensitivity of the parallel performance to the load level of the nodes, in terms of the number of simultaneously used cores. This performance degradation is related to memory bottlenecks during the modal analysis required during each FE analysis.

• Journal of the Korean Society of Systems Engineering
• /
• v.11 no.1
• /
• pp.55-65
• /
• 2015

In steel making plant, sampling system for raw material such as iron ore, limestone is necessary for quality control purpose. For the sake of efficiency and productivity, automation of the sampling system is highly desirable. From technical standpoint, the development of the automated system requires multi-disciplinary domain knowledge such as mechanical engineering, industrial engineering, information technology and computer engineering. Up to present time, the development has been mainly carried out by a single domain expert with project manager. The automated system developed in this way caused problems in the final system. This paper suggests a systems engineering approach to the development of automation for raw material sampling plant via a tailored process called Plant Systems Engineering (PSE) Process based on ISO/IEC 15288. Through the PSE process, we could derive right requirements and architecture of the Systems Of Interest (SOI), and we were convinced that the PSE Process can be applied to many other Plant Systems.