• Journal of the Institute of Electronics and Information Engineers
• /
• v.54 no.6
• /
• pp.134-139
• /
• 2017

In this paper, a novel torque control scheme is proposed and implemented to handle the torque level of ebike precisely. By adopting moving average filters to eliminate throttle noise, ebike driver could control throttle level on wide span of 256 steps. Designed controller is plugged into ebike and tested to demonstrate it's linear control incomparable to conventional cadence sensing controller.

• Proceedings of the KIEE Conference
• /
• 2003.07d
• /
• pp.2552-2554
• /
• 2003

난수발생기 (Random generator-RG)와 GRNN을 이용한 분류기 설계방식을 제안하며, 이를 프로모터 염기서열의 분류에 적용한다. 주어진 난수범위에서 다중 분류기를 발생하였으며, 그 성능을 예측정확도와 분류민감도 측면에서 평가하였고, 분류민감도는 다시 전체와 개별적 프로모터에 대해서 세분화하여 평가하였다. 최적화된 분류기 상호간의 비교에서 제안된 기법은 모든 임계점에 대해서, 전체 분류민감도와 전체 예측정확도를 향상시키었으며, 이는 전체 분류 민감도에서 더 두드러졌다. 한편, 개별적 프로모터에 대한 분류민감도와 예측정확도도 평균적으로 향상되었다. 이 같은 결과로 제안된 기법이 분류와 예측성능을 동시에 증진하는데 매우 효과적임을 알 수 있었다.

• The Korean Journal of Community Living Science
• /
• v.16 no.3
• /
• pp.133-141
• /
• 2005

본 연구는 연변 지역 조선족 여자 대학생을 대상으로 의복태도에 따른 의복구매동기를 조사함으로써 소비자의 심리적 특성을 밝히는데 그 목적이 있다. 2002년 5월에서 6월 사이에 300부의 설문지가 중국 연변 지역의 여자 대학생에게 배부되어 248부의 설문지가 최종적으로 분석에 사용되었다. 설문지는 5점 척도를 사용하였고, 통계처리는 SAS PC 프로그램을 이용하여 빈도, 요인분석, t-test를 하였다. 연구 결과를 요약하면 다음과 같다. 여자 대학생의 의복태도는 유행성, 유명상표지향성, 심미성, 정숙성의 네 요인으로 분류되었다. 각 요인 별로 요인의 평균값이 높은 집단과 낮은 집단으로 분류하여 의복태도에 따른 의복구매동기를 조사한 결과, 유행성${\cdot}$유명상표지향성${\cdot}$심미성${\cdot}$정숙성 네 요인 모두 각 요인 별로 평균값이 높은 집단과 낮은 두 집단 간에 유의한 차이를 나타내었다. 유행성요인에 높은 평균점수를 갖는 집단은 낮은 집단에 비해 멋진 외모나 새로운 유행을 추구하기 위해 의복을 구입하는 동기가 높았고, 미적요인에 높은 평균점수를 갖는 집단은 낮은 집단에 비해 실용적 이유보다는 사회적 모임이나 기분의 변화를 위하여 의복의 구매동기를 가졌다. 이러한 결과를 통하여 의복태도는 중국조선족소비자의 경우에도 의복구매행동을 예측하는 좋은 변수가 될 수 있으며 시장세분화를 위한 유용한 기준이 될 수 있음을 확인하였다.

• Journal of Engineering Education Research
• /
• v.14 no.1
• /
• pp.3-10
• /
• 2011

The purpose of this study is to analyze the effectiveness of applying e-learning in industrial technology practical retraining. We have conducted a questionnaire survey for 177 subjects in 23 courses of four types of industry. Also, we have performed focus group interviews to analyze the problem and the reason for taking e-learning classes. A satisfaction measurements of the contents area(average 3.78 out of 5.0) and system area(average 3.70) were relatively high. However, the satisfaction measurement of the management area(average 3.0) was relatively low. The satisfaction measurement of learning area(average 3.68) was relatively high, but that of the behavior area(average 3.51) was on a normal level. In conclusion, an application of e-learning showed the effect on extending educational chances and spreading the technology in highly technological fields. We suggest that e-learning should be consistently and specifically expanded.

• Journal of the Korean Data and Information Science Society
• /
• v.26 no.6
• /
• pp.1417-1426
• /
• 2015

We develop the high risk group predictive model for loan default by utilizing the direct loan data from 2012 to 2014 of the Korea Student Aid Foundation. We perform the decision tree analysis using the data mining methodology and use SAS Enterprise Miner 13.2. As a result of this model, subject types were classified into 25 types. This study shows that the major influencing factors for the loan default are household income, national grant, age, overdue record, level of schooling, field of study, monthly repayment. The high risk group predictive model in this study will be the basis for segmented management service for preventing loan default.

• Journal of Broadcast Engineering
• /
• v.12 no.3
• /
• pp.278-288
• /
• 2007

We propose the fast full search algorithm that reduces the computational load of the block matching algorithm which is used for a motion estimation in the video coding. Since the conventional spiral search method starts searching at the center of the search window and then moves search point to estimate the motion vector pixel by pixel, it is good for the slow motion picture. However we proposed the efficient motion estimation method which is good for the fast and slow motion picture. Firstly, when finding the initial threshold value, we use the expanded predictor that can approximately calculate minimum threshold value. The proposed algorithm estimates the motion in the new search order after partitioning the search window and adapt the directional search order in the re-divided search window. At the result, we can check that the proposed algorithm reduces the computational load 94% in average compared to the conventional spiral full search algorithm without any loss of image quality.

• Journal of Korea Water Resources Association
• /
• v.52 no.7
• /
• pp.505-514
• /
• 2019

Our country is making efforts to manage water resources efficiently. In the future, It is necessary to develop a plan after subdividing the basin considering regional problems and water use, topographical and climatic characteristics. This study constructed water supply and demand system based on the standard watershed unit for water shortage evaluation considering spatial resolution. In addition, water shortage were calculated and compared using the MODSIM model in the Han-river basin. As a result, the average water shortage occurring during the 49 years (1967-2015) was 129.98 million $m^3$ for the middle watershed unit and 222.24 million $m^3$ for the standard watershed unit, resulting in a difference of about 2.1 billion m3. However, the trends and distribution of water shortage occurrence were very similar. The reason for this is that, in the case of the Middle watershed unit analysis, water shortages are calculated for the demand for living, industrial, and agricultural water for the representative natural flow value, assuming that all the water can be used in basin. The standard basin unit analysis showed that the difference between the fractionated supply and demand resulted in a large water shortage due to the relatively small amount of available water, and that the main stream did not show water shortage due to the ripple effect of the return flow. If the actual water use system is considered in the model as well as the subdivision of the spatial unit, it will be possible to evaluate the water supply and demand reflecting the regional characteristics.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2011.01a
• /
• pp.145-148
• /
• 2011

본 연구는 전자교육(e-learning) 교수설계자의 핵심 직무역량을 분석함으로써 궁극적으로 교수설계 인력의 전문성 제고 방안 마련에 그 목적이 있다. 이를 위해 우선, 선행연구를 토대로 전자교육 교수설계자의 역량수준도와 역량중요도를 분석할 수 있는 설문 조사지를 개발하여 50명의 전자교육 교수설계자를 대상으로 설문하고 그 자료를 분석하였다. 활용 가능한 42부를 최종 분석에 이용하여 SPSS 17.0을 사용하여 통계 처리한 결과, 전자교육 교수설계자는 전반적으로 보통 수준을 상회하는 양호한 역량 수준도를 보유한 것으로 나타났지만, 역량중요도 인식과 비교해 볼 때 평균적으로 큰 차이를 나타냈으므로 직무수행을 위해 갖춰야 하는 역량의 중요성에 비해 전자교육 교수설계자의 현재 역량 수준도는 충분하지 못하다는 것을 알 수 있었다. 향후에는 인터뷰와 같은 질적인 접근을 통해 좀 더 현실적인 업무 환경을 반영한 역량 연구와 더불어 직무 인식도에 영향을 줄 수 있는 수많은 자극 가능성을 최대한 수렴한 세분화된 연구를 통해 전자교육 교수설계자의 상황과 수준에 맞는 양질의 교육 프로그램을 다양하게 제공해야 할 수 있도록 연구할 필요가 있다.

• Journal of Korea Water Resources Association
• /
• v.33 no.1
• /
• pp.99-110
• /
• 2000

In this study we proposed a simple method for generating multi-site daily rainfall based on the 1-order Markov chain and considering the spatial correlation. The occurrence of rainfall is simulated by a simple 1st-order Markov chain and its intensity to be chosen randomly from the observed data. The spatial correlation between sites could be conserved as the rainfall intensity at each site is to be chosen consistently with the target site in time through generation. It is found that the generated daily rainfall data reproduce genera] characteristics of the observed data such as average, standard deviation, average number of wet and dry days, but the clustering level in time is somewhat loosened. Thus, the lag-I correlation coefficient of the generated data gave smaller value than the observed, also the average lengths of wet run and dry run and the wet-to-wet and dry-to-dry probabilities were a bit less than the observed. This drawback seems to be overcome somewhat by choosing a proper site representing overall basin characteristics or by use of more detailed states of rainfall occurrence.

• The Journal of Engineering Geology
• /
• v.33 no.1
• /
• pp.189-200
• /
• 2023

As urbanization and industrialization increase development in downtown areas, damage due to ground settlement continues to occur. Building collapse in urban has a high risk of leading to large-scale damage to life and property. However, there has rarely been studied on measurement data analysis methods when uneven loads are applied to the excavated ground and no prior knowledge of the ground. Accordingly, it was attempted to analyze the relative settlement behavior and correlation by processing the time-series surface settlement of construction sites in the urban. In this paper, the average index of difference in settlement and average of relative difference in settlement are defined and calculated, then plotted in the coordinate system to analyze the relative settlement behavior over time. In addition, since there was no prior knowledge of the ground, a standard to classify the clusters was needed, and the observation points were classified into using k-means clustering and Dunn Index. As a result of the analysis, it was confirmed that all the clusters moved to the stable region as the settlement amount converges. The clusters were segmented. Based on the analysis results, it was possible to distinguish between the independent displacement area and same behavior area by analyzing the correlation between measurement points. If possible to analyze the relative settlement behavior between the stations and classify the behavior areas, it can be helpful in settlement and stability management, such as uplift of the surrounding area, prediction of ground failure area, and prevention of activity failure.