• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 1999.06a
• /
• pp.95-96
• /
• 1999

The authors have considered the 1/f fluctuation of vial rhythm with $1/f\beta$ spectrum of $\alpha$ wave in relation to the invigoration for the learning memory by paid their attention to the hippocampus protocol in this paper. At the first clinical experiment, the data of the remembrance test at short period is able to make as the foundation of the repeat memory. It can replace this memory with long period memory through the hippocampus by the superposition of the same memory-nerve circuits.

• Journal of Information Technology Services
• /
• v.11 no.4
• /
• pp.309-333
• /
• 2012

Recently, emergence of smart-phones and Social Networking Service(SNS) would offer the market environment changes and the opportunities for new business. For the case analysis comprehensive survey were implemented. And those data were analyzed along the research framework. The late-comer firms offered differential services, maintained creative and opened corporate culture, shoed learning capabilities which means absorption and organization of external knowledge, innovative efforts to control the insurgents than early-mover firms. When we analyze these phenomena along the developmental stages of late-comer, we can perceive that the stage of late-comers firms were moving from the "tracing the path" stage to "jumping the path" stage which means the creating capabilities were more or less enhanced and the firms become more stable in terms of business operation. In business model, early-mover firms showed clear definition for each business element, especially the revenue structure, while late-mover firms seemed unstable or unclear revenue structure.

• Philosophy of Education
• /
• no.66
• /
• pp.77-103
• /
• 2018

This study focused on the meaning of 'educational philosophy' by the method of corpus analysis. There is the difference of meaning on educational philosophy between professional researchers and publics. This semantic phenomenon implies that the image acoustics of 'educational philosophy' are not matched between two groups. This study, which originated from Saussure's linguistics theory, examined the semantics of educational philosophy in the . Unlike philosophical inquiry on education, the definition of educational philosophy, the general public use 'educational philosophy' like the connotation of secret of successful learning and child nurturing. Given the power of the media and the mass, these tendency could affect the meaning and definition of educational philosophy. Professional researchers should investigate these acoustic image from the sense of linguistic and educational approaches. These researches could contribute to clarify descriptive and normative meaning of the educational philosophy.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2009.05a
• /
• pp.379-382
• /
• 2009

패턴 인식에서 분류기 모형으로 많이 사용되는 퍼지 분류기는 퍼지 소속 함수를 적절히 설정함으로써 보다 향상된 분류 성능을 얻을 수 있다는 장점이 있다. 그러나 일반적으로 함수 설정은 인식문제 분야의 특성이나 해당 전문가의 지식과 주관적 경험을 기반으로 설정되므로 설정된 소속도 함수의 일관성과 객관성을 보장하기가 어려운 문제점을 갖고 있다. 따라서 이 논문에서는 퍼지 분류기의 소속도 함수를 설정하기 위한 객관적 기준을 제시하기 위하여 특징값들 간의 통계적 정보를 이용한 소속도 함수 설정 기법들을 제안하였다. 제안한 기법들을 이용하여 UCI machine learning repository 사이트에서 제공되는 표준 데이터 중에 Iris 데이터 세트를 이용하여 실험하고 그 결과를 비교, 분석하였다.

• Journal of Fisheries and Marine Sciences Education
• /
• v.23 no.1
• /
• pp.13-22
• /
• 2011

The purpose of this study was to development and validation of the 'course evaluation' scale for learner-centered in university. The research collected preliminary data from 1,567 university students's responses for item and scale quality analyses, and collected 2,539 university students's for item and scale quality analyses, and 300 university professors's responses for validation. Data were analyzed to obtain item quality, reliability, and validity analysis. The results of the study were as follows; The 'course evaluation' scale for learner-centered in university was defined by 5 factors. The 5 factors were structure and sincerity of lecture, suitability of report and test, level of consulting for student, application of educational media, communication. The results of the confirmatory factor analysis confirmed five sub-scales in the 'course evaluation' scale for learner-centered in university scale. Criterion-related validity evidence was obtained from the correlation analysis as the criterion measures. Cross validity evidence was obtained from the confirmatory factor analysis in university professors.

• Annual Conference of KIPS
• /
• 2012.04a
• /
• pp.329-332
• /
• 2012

국내 택배시장 규모는 매출 3조원 이상, 물량 13 억 상자 이상을 처리하고 있다. 2000년 6천억원에서 불과 10년 사이에 500% 이상 확대되었다. 그에 반해 소비자들의 불만 역시 증가하였다. 따라서 현재의 수작업 VOC 분류 방식으로는 적정한 대응에 한계가 있을 수 밖에 없다. 이 논문에서는 효율적인 택배불만 처리를 위해서 불만의 종류와 정도를 기계학습을 이용하여 자동분류 하는 과정 및 결과를 기술한다. 약 93,000건의 VOC(voice of customer)를 대상으로 학습 데이터를 구축하고 여러 자질 선택 기법을 비교하였으며, 기존의 다양한 문서 자동 분류 방법들을 적용해 보았다. 실험결과 지지벡터기계가 가장 좋은 성능을 보였고, 각각의 F-measure 값은 불만의 정도는 83.1%, 불만의 종류는 75.9% 로 측정되었다.

• Journal of Information Processing Systems
• /
• v.17 no.5
• /
• pp.892-904
• /
• 2021

An image semantic segmentation model is proposed based on improved ENet network in order to achieve the low accuracy of image semantic segmentation in complex environment. Firstly, this paper performs pruning and convolution optimization operations on the ENet network. That is, the network structure is reasonably adjusted for better results in image segmentation by reducing the convolution operation in the decoder and proposing the bottleneck convolution structure. Squeeze-and-excitation (SE) module is then integrated into the optimized ENet network. Small-scale targets see improvement in segmentation accuracy via automatic learning of the importance of each feature channel. Finally, the experiment was verified on the public dataset. This method outperforms the existing comparison methods in mean pixel accuracy (MPA) and mean intersection over union (MIOU) values. And in a short running time, the accuracy of the segmentation and the efficiency of the operation are guaranteed.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.25 no.9
• /
• pp.1275-1278
• /
• 2021

Nowadays, fake news from newspapers and social media is a serious issue in news credibility. Some of machine learning methods (such as LSTM, logistic regression, and Transformer) has been applied for fact checking. In this paper, we present Transformer-based fact checking model which improves computational efficiency. Locality Sensitive Hashing (LSH) is employed to efficiently compute attention value so that it can reduce the computation time. With LSH, model can group semantically similar words, and compute attention value within the group. The performance of proposed model is 75% for accuracy, 42.9% and 75% for Fl micro score and F1 macro score, respectively.

• Journal of the Korean Society of School Health
• /
• v.32 no.2
• /
• pp.125-134
• /
• 2019

Purpose: The purpose of this study was to investigate the effects of sedentary behavior on subjective health in Korean adolescents. Methods: This study is designed as a cross-sectional study. The study sample comprised of 60,040 middle and high school students primarily at the age of 12 to 17. Using data from the 14th (2018) Korea Youth Risk Behavior Web-based Survey, multiple logistic regression analysis was conducted. Results: The rate of engaging in sedentary behavior for less than 2 hours was 28.4% and for more than 4 hours was 28.2% in Korean adolescents. In the result from the logistic regression analysis, compared to engaging in sedentary behavior for 2 hours or less, the adjusted odds ratio was 1.15 for over 4 hours, with other factors controlled. Conclusion: It is necessary to actively develop and promote active leisure activities and limit excessive media exposure and supplementary learning for adolescents.

• Journal of Broadcast Engineering
• /
• v.24 no.2
• /
• pp.357-360
• /
• 2019

We propose an efficient single convolutional neural network (CNN) for pedestrian detection on embedded GPUs. We first determine the optimal number of the convolutional layers and hyper-parameters for a lightweight CNN. Then, we employ a multi-scale approach to make the network robust to the sizes of the pedestrians in images. Experimental results demonstrate that the proposed algorithm is capable of real-time operation, while providing higher detection performance than conventional algorithms.