• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2000.11b
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• pp.146-153
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• 2000

The rubber crawler system for farm machine is composed of driving units such as track rollers, driving sprockets and rubber crawlers. Vibration characteristics of the rubber crawler system varies by driving speed, center of gravity, mass□moment of inertial□location arrangement of track rollers and dynamic parameters such as dynamic spring constant (k) and viscous damping coefficient (c) of a rubber crawler. In general, vibration of the rubber crawler system occurs by reason for mechanical interaction between the rubber crawler and track rollers. Because the dynamic spring constant and viscous damping coefficient vary periodically by mechanical characteristics(deformation characteristics) of the rubber crawler when track rollers drive on the between lugs of the rubber crawler. Therefore, both dynamic parameters k and c were expressed as Fourier series by authors through the shaking test of the rubber crawler and further, vibration characteristics of the rubber crawler system could be simulated analytically. However, actual values of dynamic parameters k and c are different from those obtained by the shaking test because dynamic characteristics of the rubber crawler vary by the effect of variable tension and driving resistance of track rollers. So, actual values of k and c should be identified in the condition of actual driving test. In this study, dynamic parameters such as k and c of the rubber crawler system, which are expressed as Fourier series, were identified using the Gauss-Newton Method. Therefore, validity of identified parameters k and c was discussed through the simulation using experimental data of actual driving test. As a result, in the Fourier series of dynamic parameters of spring constant k and viscous damping coefficient c, excellent parameter convergence and simulation were observed using the Fourier series' zero order and first term of the dynamic model. Furthermore, it was clarified that identification for model parameters which are fitted to actual dynamic motion (vibration) wave of the crawler system was possible by using the time series data observed in vertical and pitching motion of the crawler system.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.02a
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• pp.241-241
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• 2012

Semiconductor industry has been taking the advantage of improvements in process technology in order to maintain reduced device geometries and stringent performance specifications. This results in semiconductor manufacturing processes became hundreds in sequence, it is continuously expected to be increased. This may in turn reduce the yield. With a large amount of investment at stake, this motivates tighter process control and fault diagnosis. The continuous improvement in semiconductor industry demands advancements in process control and monitoring to the same degree. Any fault in the process must be detected and classified with a high degree of precision, and it is desired to be diagnosed if possible. The detected abnormality in the system is then classified to locate the source of the variation. The performance of a fault detection system is directly reflected in the yield. Therefore a highly capable fault detection system is always desirable. In this research, time series modeling of the data from an etch equipment has been investigated for the ultimate purpose of fault diagnosis. The tool data consisted of number of different parameters each being recorded at fixed time points. As the data had been collected for a number of runs, it was not synchronized due to variable delays and offsets in data acquisition system and networks. The data was then synchronized using a variant of Dynamic Time Warping (DTW) algorithm. The AutoRegressive Integrated Moving Average (ARIMA) model was then applied on the synchronized data. The ARIMA model combines both the Autoregressive model and the Moving Average model to relate the present value of the time series to its past values. As the new values of parameters are received from the equipment, the model uses them and the previous ones to provide predictions of one step ahead for each parameter. The statistical comparison of these predictions with the actual values, gives us the each parameter's probability of fault, at each time point and (once a run gets finished) for each run. This work will be extended by applying a suitable probability generating function and combining the probabilities of different parameters using Dempster-Shafer Theory (DST). DST provides a way to combine evidence that is available from different sources and gives a joint degree of belief in a hypothesis. This will give us a combined belief of fault in the process with a high precision.

• Analytical Science and Technology
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• v.16 no.6
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• pp.488-498
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• 2003

By LC/MS/MS, the analytical method of sildenafil and its analogues (homosildenafil, vardenafil and tadalafil) used as used medical treatment of impotence was established. electrosprary ionization (ESI) and atmospheric pressure chemical ionization (APCI) as a ionization method were applied. Several parameter were varied and the sensitivity and reproducibility were compared. In LC/ESI-MS method, capillary voltage, cone voltage, extractor, entrance and RF lens to create appropriate productr ions for multiple reaction monitoring (MRM) were variable parameter, but the formation of the other product ions except the precursor ion could not detect. And the value of entrance, collision energy, exit, corona voltage, cone voltage, extractor, RF lens, cone gas, and desolvation gas in APCI mode were varied, only the creation pattern of fragment ions by the change of RF lens value were detected, and the limit of detection was decreased due to the increase of S/N. Ten millimole ammonium formate (pH 4.8):acetonitrile=70:30 by isocratic elution in HPLC system was shown the maximum sensitivity in MS, the detection limit of sildenafil, homosildenafil, vardenafil and tadalafil obtained by ESI-MRM were 0.10, 0.025, 0.025, and $0.25{\mu}g/mL$ at S/N>5, respectively.

• Physical Therapy Korea
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• v.17 no.3
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• pp.77-86
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• 2010

The purpose of this study was to investigate the variations in gait parameters in terms of the type of arm sling used in hemiplegic patients. Ten patients with hemiplegia and ten healthy adults participated in this study and walked at self-selected speeds on a GAITRite-instrumented carpet. The activities of the opposite shoulder girdle muscle including the latissimus dorsi, anterior deltoid, and posterior deltoid were simultaneously recorded using surface EMG during gait. They were randomly assigned a condition: without an arm sling, a single strap arm sling, a Harris hemi arm sling, a Rolyan humeral cuff arm sling, and a Bobath roll arm sling. The following gait variables were analyzed: the temporo-spatial parameters of velocity, step length, stride length, swing phase, stance phase, single support, step time and toe in/toe out. The statistical analysis was one-way ANOVA with repeated measures to compare the variation of each variable. In comparison of parameters in each trial in the hemiplegia group, the non-affected side stride length, single support, and toe in/toe out resulted in statistically significantly changes (p<.05). But without an arm sling group did not show any gait parameter differences with arm slings. This study found that several arm slings varied gait patterns in patients with hemiplegia and in healthy adults. In the EMG analysis, the Rolyan humeral cuff arm sling and the Bobath roll arm sling were higher muscle activity for the latissimus dorsi muscle than did the single strap ann sling. Further study should examine the problems that appeared in patients who worn arm slings by focusing on a larger number of subjects and by studying the variety of responses in more detail using an assessment tool that measures variation.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38A no.9
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• pp.817-825
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• 2013

The UHDTV system, which provides realistic service with ultra-high definite video and multi-channel audio, has been studied as a next generation broadcasting service. Since the conventional digital terrestrial transmission system is not capable to cover the increased transmission data rate of the UHDTV service, there are great necessity of researches about increase of data rate. Accordingly, the researches has been studied to increase the transmission data rate of the DVB-T2 system using dual-polarized MIMO technique and high order modulation. In order to optimize the MIMO DVB-T2 system where irregular LDPC codes are used, it is necessary to study the design of the bit mapper that matches the LDPC code and QAM symbols in MIMO channel. However, the research related to the design of the bit mapper has been limited to the SISO system. Therefore, this paper defines a new parameter that indicates the VND distribution of MIMO DVB-T2 system and performs the performance analysis according to the parameter which will be helpful for designing a MIMO bit mapper.

• International Journal of Advanced Culture Technology
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• v.9 no.3
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• pp.92-99
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• 2021

In this research, it was investigated the competence of Korean salesmen in the insurance business(B2C, consumer goods marketing) and information communication industry(B2B, industrial goods marketing) at the individual level rather than the organizational level. The salesperson's Guanxi ability means the salesperson's ability to create, maintain, develop the Guanxi ability. Namely, it was investigated whether the Korean salesman's Guanxi ability is the effective and persuasive concept in explaining the sales performance(company performance, business performance). The purpose of this paper was to verify which variables, among Guanxi ability and customer orientation, better explain the sales performance of salespeople. The Western concept of marketing that is closest to Guanxi is the concept of the customer-orientation that is based on the theory of relationship exchange. Confucian culture in the East is the construct concept, Guanxi is the measurement. The relational exchange theory in the West is the construct concept, customer orientation is the measurement. As the result of the analysis, we found that the Guanxi proved a greater correlation with sales performance than customer orientation. In the information technology industry, there was a big difference compared to insurance industry, whereas Guanxi and customer orientation had a similar level of correlation with sales performance. In the case of the insurance industry, we found that the Guanxi and sales performance were significant but the customer orientation and sales performance were not. This means that sales performance can be accurately and sufficiently explained only by adding the Guanxi ability in addition to customer orientation. The result of analyzing the mediating effect of the Guanxi ability between customer orientation and company performance, customer orientation was significant with Guanxi, and customer orientation and company performance were also significant. But, when the Guanxi was used as the parameter, the Guanxi was significant with company performance, but the customer orientation was not. Even when the dependent variable was business performance, when the Guanxi was used as the parameter, we found that the Guanxi was significant with the business performance, but the customer orientation was not. Namely, it proved Guanxi ability and customer orientation are completely independent concepts. In addition, we found that the information technology industry, unlike the insurance industry, mediated the Guanxi ability between customer orientation and sales performance. We confirmed that in the future, salespeople should not only rely on rational methods to maintain and reinforce customer relationships, but must consider the emotional factors through empathy with customers.

• Journal of Korea Water Resources Association
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• v.56 no.spc1
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• pp.1007-1014
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• 2023

Two-dimensional flow analysis, a fundamental component of hydrodynamics, plays a pivotal role in numerically simulating fluid behavior in rivers and waterways. This modeling approach heavily relies on parameters such as eddy viscosity and roughness coefficient to accurately represent flow characteristics. Therefore, combination of appropriate parameters is very important to accurately simulate flow characteristics. In this study, an automation algorithm was developed and applied to find the optimal combination of parameters. Previously, when applying a two-dimensional flow analysis model, former researchers usually depend on the empirical approach, which causes many difficulties in finding optimal variable values. Using the experimental data, we tracked errors according to the combination of various parameters and applied the algorithm that can determine the optimal combination of parameters with the Python language. The automation algorithm can easily determine the most accurate combination by comparing the flow velocity error values among the two-dimensional flow analysis results among the combinations of 121 (11×11) parameters. In the perspective of utilizing automation algorithm, there is an expected high utility in promptly and straightforwardly determining the optimal combination of parameters with the smallest error.

• Korean Journal of Radiology
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• v.23 no.10
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• pp.986-997
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• 2022

Objective: Whether metabolic redistribution occurs in patients with white matter hyperintensities (WMHs) on magnetic resonance imaging (MRI) is unknown. This study aimed 1) to propose a measure of the brain metabolic network for an individual patient and preliminarily apply it to identify impaired metabolic networks in patients with WMHs, and 2) to explore the clinical and imaging features of metabolic redistribution in patients with WMHs. Materials and Methods: This study included 50 patients with WMHs and 70 healthy controls (HCs) who underwent ¹⁸F-fluorodeoxyglucose-positron emission tomography/MRI. Various global property parameters according to graph theory and an individual parameter of brain metabolic network called "individual contribution index" were obtained. Parameter values were compared between the WMH and HC groups. The performance of the parameters in discriminating between the two groups was assessed using the area under the receiver operating characteristic curve (AUC). The correlation between the individual contribution index and Fazekas score was assessed, and the interaction between age and individual contribution index was determined. A generalized linear model was fitted with the individual contribution index as the dependent variable and the mean standardized uptake value (SUV_mean) of nodes in the whole-brain network or seven classic functional networks as independent variables to determine their association. Results: The means ± standard deviations of the individual contribution index were (0.697 ± 10.9) × 10^-3 and (0.0967 ± 0.0545) × 10^-3 in the WMH and HC groups, respectively (p < 0.001). The AUC of the individual contribution index was 0.864 (95% confidence interval, 0.785-0.943). A positive correlation was identified between the individual contribution index and the Fazekas scores in patients with WMHs (r = 0.57, p < 0.001). Age and individual contribution index demonstrated a significant interaction effect on the Fazekas score. A significant direct association was observed between the individual contribution index and the SUV_mean of the limbic network (p < 0.001). Conclusion: The individual contribution index may demonstrate the redistribution of the brain metabolic network in patients with WMHs.

• Journal of Digital Contents Society
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• v.19 no.6
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• pp.1151-1160
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• 2018

The study has been derived through the empirical analysis so as to find the usage behavior of cloud-based common collaboration platform. Independent variables of the cloud-based platform have been selected as flexibility, reliability, versatility, security and interaction, which have been selected by utilizing UTAUT theory. After selecting the use intent as a parameter, usage behavior was been finally selected as a dependent variable. The firm type was used as a control variable. We used AMOS 23.0 and SPSS 23.0 statistical programs for the hypothesis test and distributed the questionnaires to users using the cloud-based common collaboration platform. Then, a total of 180 copies from distributed questionnaires were used for the analysis. The results showed that reliability, security and interaction had a positive effect on intention to use. On the other hand, flexibility and versatility did not affect intention to use positively. Finally, it was verified that the intention to use had a positive effect on the use behavior. At last, it showed that there is a moderation effect according to the type of company.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.270-278
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• 2018

In this study, the Pedagogical Content Knowledge for childhood's music education and Teacher's Efficacy empirically examined the relationship between teachers' attitudes through structural equation model analysis. Data were collected for 132 infant teachers working for early childhood educational institutions for this study. Structural equation model analysis was performed using SPSS and AMOS. In this research, conformity to the research model was appropriate. Pedagogical content knowledge for childhood's music education clearly confirmed the relationship between the teacher's efficacy, the attitude variables of the teacher. The Pedagogical Content Knowledge for childhood's music education proved to have a meaningful influence on the attitude of the teacher for music education. The Pedagogical Content Knowledge for childhood's music education proved to have a meaningful influence on Teacher's Efficacy for music education. The Pedagogical Content Knowledge for childhood's music education has been found to influence the attitude of the teacher indirectly with the intermediation of Teacher's Efficacy. The effect of the parameter was the effect of the partial parameters. The results of this study can be used as basic material important for strengthening the expertise of young children's teachers for music development of young children. In particular, it was confirmed that the knowledge variable of the content of the music professor of an infant teacher is a very important variable in early childhood music education.