• Transactions of the Korean Society of Automotive Engineers
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• v.9 no.6
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• pp.143-151
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• 2001

During the past several years, the major interests of car manufacturers in development of automatic transmission were in durability and shift quality. However, a large number of researches for improving shift quality that are based on dynamic characteristics of shifting mechanism have been rarely adopted in the developing process because it is quite difficult to predict the shifting performance from the dynamics simulation. One of the important reasons for the difference between simulation results and experiments arises from the automatic transmission hydraulic system that consists of many valves with high order model and shows a lot different dynamics to temperature variation. In this work, hardware-in-the-loop simulation system for automatic transmission was developed f3r improving the accuracy of simulated result by combining the real-time simulation model with the real hydraulic system. The real-time simulation for automatic transmission model excluding hydraulic system is executed with TI's TMS320C31 DSP and the interfacing board which includes 12bit A/D, PWM signal generator and driver, serial driver ,etc is designed for acquiring the simulation data and signal interface with hydraulic system. We verified the proper operation and correctness of shifting result by comparing the off-line simulation result with that of HILS and experimental result which was performed on transmission dynamometer driven by electric motor.

• Korean Journal of Veterinary Research
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• v.45 no.1
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• pp.25-28
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• 2005

The melanocortin 1 receptor (MC1R) plays an important role in regulation of melanin pigment synthesis within mammalian melanocytes. Mutations within the gene encoding MC1R have been shown to explain coat color variations within several mammalian species including cattle. To develope a rapid and accurate method for the identification of Hanwoo meat, we performed a single nucleotide polymorphism (SNP) analysis in Melanocortin 1 receptor (MC1R) gene using TaqMan$^{(R)}$ MGB probe-based real-time PCR. Two specific probes (one for Hanwoo and the other for Holstein and Black angus) were designed. At the 5' end of 2 TaqMan$^{(R)}$ MGB probes, 6-carboxyfluorescein (FAM) was labeled for Hanwoo, and VIC for Holstein and Black angus. As a result, Hanwoo samples showed FAM-positive signal only, whereas other samples showed VIC-positive. This result suggests that the TaqMan$^{(R)}$ MGB probe based real-time PCR technique would be very accurate, easy and reproducible method to discriminate between Hanwoo meat and Holstein/Black angus meat.

• The Journal of the Korea Contents Association
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• v.18 no.4
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• pp.416-427
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• 2018

As the loan size of real estate PF is huge, its market ripple effect gets bigger when overdue occurs. Accordingly, the management of the delinquency rate and macroeconomic analysis are required. As the preceding research mainly proceeded with microeconomic analysis through the real estate PF data of individual banks to evaluate importance of list or analyzed core factors for delinquency, it lacked research on comprehensive real estate PF size. In order to overcome the limitations of such data, this research studied real estate PF delinquency rate of the entire market and effect relationship by the size. The research utilized the size of real estate PF loans, money supply, interest rate, consumer price index(CPI), and GDP data. Also, it applied the first model of VECM as linear relationship between at least two or more variables, following the result of co-integration test. As a result of Granger-causality test, the real estate PF loans delinquency rate is influenced by their loan size, and as a result of impulse response analysis, the interest rate is shown to be affecting delinquency rate the most. Interest rate could risesomeday and aggravate the delinquency rate of real estate PF. Also, risk exposure could be serious as the loan size increases.Therefore, the management of real estate PF delinquency rate requires continuous monitoring, tracking and observing issued loans from a macro point of view. The plans to prevent delinquency will be necessary.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.1
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• pp.52-57
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• 2014

This paper presents an implementation of a smooth path planning method considering physical limits on a real time operating system for a two-wheel mobile robot. A Bezier curve is utilized to make a smooth path considering a robot's position and direction angle through the defined path. A convolution operator is used to generate the center velocity trajectory to travel the distance of the planned path while satisfying the physical limits. The joint space velocity is computed to drive the two-wheel mobile robot from the center velocity. Trajectory planning, velocity command according to the planned trajectory, and monitoring of encoder data are implemented with a multi-tasking system. And the synchronization of tasks is performed with a real-time mechanism of Event Flag. A real time system with multi-tasks is implemented and the result is compared with a non-real-time system in terms of path tracking to the designed path. The result shows the usefulness of a real-time multi-tasking system to the control system which requires real-time features.

• Journal of Biomedical Engineering Research
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• v.16 no.3
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• pp.317-324
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• 1995

A need exists for the accurate identification of time series models having time varying parameters, as is important in the case of real time identification of nonstationary EMG signal. Thls paper describes real time identification and muscle fatigue monitoring method of nonstationary EMG signal. The method is composed of the efficient identifier which estimates the autoregressive parameters of nonstationary EMG signal model, and its real time implementation by using T805 parallel processing computer. The method is verified through experiment with real EMG signals which are obtained from surface electrode. As a result, the proposed method provides a new approach for real time Implementation of muscle fatigue monitoring and the execution time is 0.894ms/sample for 1024Hz EMG signal.

• East Asian Journal of Business Economics (EAJBE)
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• v.9 no.1
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• pp.63-69
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• 2021

Purpose - This study examines the regressive estate taxation issues and seeks measures for the rationalization of property taxation. Although various discussions on the reorganization of property taxation have been made, discourses on how much property taxation burden is given to homeowners and on whether the increase of property taxation should be shifted to tenants have not been properly carried out. Research design, data, and methodology - Therefore this study examined the property taxation issues and sought measures for the rationalization of property taxation based on homeowners' social and economic characteristics. This study deals with discussions on the directions for rational real estate reorganization and what desirable real estate market stabilization polices are. Result - This study investigates what issues and disputes the powerful real estate policies to ease overheat of the real estate market have caused and seeks directions to solve those. Conclusion - The study results supports that the real estate taxation would be levied in proportion to the economic capacity of real estate owners to pay taxes. It implies that tax levy not only in conjunction with income, but also in combination with existing real estate assets would be considered to be desirable in terms of comprehensive tax justice.

• The KIPS Transactions:PartB
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• v.12B no.3 s.99
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• pp.273-282
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• 2005

Real-time Object tracking is an important field in developing vision applications such as surveillance systems and vision based navigation. mean-shift algerian and Condensation algorithm are widely used in robust object tracking systems. Since the mean-shift algorithm is easy to implement and is effective in object tracking computation, it is widely used, especially in real-time tracking systems. One of the drawbacks is that it always converges to a local maximum which may not be a global maximum. Therefore, in a cluttered environment, the Mean-shift algorithm does not perform well. On the other hand, since it uses multiple hypotheses, the Condensation algorithm is useful in tracking in a cluttered background. Since it requires a complex object model and many hypotheses, it contains a high computational complexity. Therefore, it is not easy to apply a Condensation algorithm in real-time systems. In this paper, by combining the merits of the Condensation algorithm and the mean-shift algorithm we propose a new model which is suitable for real-time tracking. Although it uses only a few hypotheses, the proposed method use a high-likelihood hypotheses using mean-shift algorithm. As a result, we can obtain a better result than either the result produced by the Condensation algorithm or the result produced by the mean-shift algorithm.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.11 s.158
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• pp.1507-1518
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• 2006

The middle-aged body differs from the youthful body and has its own body type due to the considerable difference in body structure by age. However, most ready-made clothes for middle-aged women are designed according to the youthful body types. They are looking for the better fitness of the ready-made clothes. Thus clothing fitness is strongly required for a middle-aged women. The purpose of this study is to analyze the basic characteristics of middle-aged women's body types and to compare the real somatotype and cognitive somatotype. The subjects are 238 middle-aged women between 35 and 49 years old living in Daegu. Data are collected through anthropometric measurement and questionnaire on somatotype from September to October 2004. The results are as follows: 1. Using factor analysis, cluster analysis is carried out and the subjects of this research are classified into 4 groups. 2. Middle-aged women usually are not satisfied with their body. Particularly, they show the lowest satisfaction measurement about their abdominal girth, weight, and overall body-shape in total 16 categories. 3. As a result of body cathexis for each part, women are usually not satisfied with their body parts for themselves, regardless of real somatotype. 4. As I divide middle-aged women's somatotype by Rohrer index into the groups of three body-types, then examine real somatotype and cognitive somatotype, I get the following result : The slimmer their bodies are, the more satisfied middle-aged women we. Besides, 40.3% of middle-aged women have an incorrect and distorted understanding of their somatotype. 5. As a result of this research for ideal state of body-size, the women shows their Ideal sizes as follow: 160.55cm for ideal height, 88.73cm for ideal bust girth, 71.14cm for ideal waist girth, 90.03cm for ideal hip girth, and 53kg for ideal weight.

• Korea Real Estate Review
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• v.24 no.1
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• pp.7-14
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• 2014

This study, as the temporal and spatial data for the real price apartment in Seoul from January 2006 to June 2013, empirically compared and analyzed the estimation result of apartment price using OLS by hedonic price model for the problem of space-time correlation, temporal autoregressive model (TAR) considering temporal effect, spatial autoregressive model (SAR) spatial effect and spatiotemporal autoregressive model (STAR) spatiotemporal effect. As a result, the adjusted R-square of STAR model was increased by 10% compared that of OLS model while the root mean squares error (RMSE) was decreased by 18%. Considering temporal and spatial effect, it is observed that the estimation of apartment price is more correct than the existing model. As the result of analyzing STAR model, the apartment price is affected as follows; area for apartment(-), years of apartment(-), dummy of low-rise(-), individual heating (-), city gas(-), dummy of reconstruction(+), stairs(+), size of complex(+). The results of other analysis method were the same. When estimating the price of real estate using STAR model, the government officials can improve policy efficiency and make reasonable investment based on the objective information by grasping trend of real estate market accurately.

• Journal of the Korea Society for Simulation
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• v.26 no.3
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• pp.13-22
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• 2017

This research proposes and applies a pipelining parallel processing technique to enhance the speed of visualizing the results of real-time simulations. Generally, a simulation with real-time visualization consists of three processes: executing a simulation model, transmitting simulation result, and visualizing simulation result. If we have these processes in serial, the latency from simulation to visualization will be very long, which degrades the speed of visualization of data from real-time simulation. Thus, the main purpose of this research is maximizing performance by adapting pipelining parallel processing technique to the real-time simulation visualization. Also we show that performance is improved by adding multi-threading technique to each process. This paper proposes a theoretical performance model and simulation results of the techniques and then we applied this to an air combat simulation model as a case study. As the result, it shows that the performance is greatly enhanced than the original model's execution time.