• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.6
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• pp.1235-1240
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• 2019

It is well known that the ground water level changes rapidly before and after the earthquake, and the variation of ground water level prediction is used to predict the earthquake. In this paper, we predict the ground water level in Miryang City using ANFIS algorithm for earthquake prediction. For this purpose, this paper used precipitation and temperature acquired from National Weather Service and data of underground water level from Rural Groundwater Observation Network of Korea Rural Community Corporation which is installed in Miryang city, Gyeongsangnam-do. We measure the prediction accuracy using RMSE and MAPE calculation methods. As a result of the prediction, the periodic pattern was predicted by natural factors, but the change value of ground water level was changed by other variables such as artificial factors that was not detected. To solve this problem, it is necessary to digitize the ground water level by numerically quantifying artificial variables, and to measure the precipitation and pressure according to the exact location of the observation ball measuring the ground water level.

• Proceedings of the Korean DIstribution Association Conference
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• 2007.08a
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• pp.27-38
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• 2007

본 연구는 갈수록 설 자리를 잃어 가는 지역 상권에 있어서 최근 10년 여 기간 동안 원주시에서 지속적으로 정치${\cdot}$경제적, 사회적 이슈로 제기되어 왔던 문제는 지하상가 상권의 침체와 활성화 문제라 할 수 있다. 원주 지하상가는 정부의 요구에 의하여 민방공 대피시설로 생겼으며, 각종 연구보고서나 학술세미나의 정책주제로 지하상가 도심 활성화 문제가 거론되고 있다. 특히 매번 지방선거에서는 지하상가 상권 활성화를 선거공약으로 제시하지 않은 후보가 없었을 정도였다는 것을 우리는 기억하고 있다. 그만큼 지하상가의 문제가 심각하다는 의미이며, 지하상가의 활성화를 통한 도시개발은 원주시민 공동의 과제라는 점을 이해 할 수 있다. 이와 같은 지역사회의 요청에 따라 그동안 수많은 개선안들이 원주시 차원에서 추진되었다. 지하상가 주변에 특화거리를 지정${\cdot}$조성하는 '특화거리 조성사업'에서부터, 주차문제 해결을 위한 '공영주차장 건설사업', '재래시장 현대화사업', '주거환경개선사업', '하상도로 건설사업', '지하상가 리모델링사업' 등 단기 및 중장기 사업계획이 추진되고 있다. 그럼에도 불구하고 크게 개선되지 못하고 있는 실정이며, 앞으로 계속 우리가 깊은 관심을 갖고 해결해 나가야 할 과제로 남아 있다. 그러나 최근 원일프라자 준공을 전후하여 지하상가는 조금씩 변화의 조짐을 보이고 있으며, 일부에서는 도심이 활성화될 것이라는 성급한 판단을 내리기도 한다. 원주시는 미약하나마 인구가 증가하는 추세이며, 전반적으로 도심이 침체의 늪에서 벗어나고 있는 인상을 주고 있기 때문이다. 그러나 이러한 변화가 과연 도심이 활성화되고 있는 징후로 볼 것인가? 특히 이러한 변화의 조짐이 원일프라자의 준공과 직접적인 관련성을 갖고 있는가? 몇가지 변화의 사례를 가지고 간단하게 판단할 수는 없다. 그러나 원일프라자의 준공은 도심지역의 개발${\cdot}$정비를 예정하고 있으며, 장기적으로는 도심 활성화의 중요한 동인이 될 수 있음을 부인할 수 없다. 따라서 본 발제에서는 이와 같은 상황적 변화를 전제로 하여 지하상가 리모델링을 통한 도심활성화와 선진사례를 받아들임으로 지역상권 활성화 방향으로 전환하는 것이 바람직할 것으로 판단된다.

• KIISE Transactions on Computing Practices
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• v.23 no.5
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• pp.322-327
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• 2017

The classification problem in the field of Natural Language Processing has been studied for a long time. Continuing forward with our previous research, which classifies large-scale text using Convolutional Neural Networks (CNN), we implemented Recurrent Neural Networks (RNN), Long-Short Term Memory (LSTM) and Gated Recurrent Units (GRU). The experiment's result revealed that the performance of classification algorithms was Multinomial Naïve Bayesian Classifier < Support Vector Machine (SVM) < LSTM < CNN < GRU, in order. The result can be interpreted as follows: First, the result of CNN was better than LSTM. Therefore, the text classification problem might be related more to feature extraction problem than to natural language understanding problems. Second, judging from the results the GRU showed better performance in feature extraction than LSTM. Finally, the result that the GRU was better than CNN implies that text classification algorithms should consider feature extraction and sequential information. We presented the results of fine-tuning in deep neural networks to provide some intuition regard natural language processing to future researchers.

• Journal of the Korea Society of Computer and Information
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• v.24 no.12
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• pp.209-216
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• 2019

In view of the educational effects and social changes of software education, equal opportunities for software education are needed regardless of general students and students with disabilities. However, studies on software education for general students have been actively conducted, but studies on software education for students with disabilities are insufficient. In this study, we developed a robot education software education program for students with developmental disabilities. Developing robot-enabled software education programs for students with developmental disabilities is meaningful in terms of expanding software education opportunities for all. In addition, the robot-based software education program is easy to motivate students with developmental disabilities with low task concentration, short-term memory, and low sociality. Significant changes will be made not only in terms of management capacity, but also in terms of self-efficacy and confidence.

• Korean Institute of Interior Design Journal
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• v.24 no.2
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• pp.171-179
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• 2015

The aim of this study is to figure out the preference features on design components of shop facade on the basis of the questionnaire survey on short-term memory and sensory memory of human right after an image experiment. As for a preceding research, this study examined the design features of facade into tangible elements and intangible elements, and also classified them into physical, aesthetical, marketing and symbolic components in detail. And, it extracted 5 representative elements in preceding studies including shape, material, pattern, color and sign, which is the standard of a questionnaire survey and preference analysis. The subjects of the experiment were 30 men and women who were over 20 years old majoring interior design. They were exposed to 20 images with 10 seconds respectively through a video, and were asked to respond the questionnaire promptly. The findings of preference analysis of design components of facade including shape, material, pattern, color and sign are as follows. Firstly, shape was the most interesting and attracting component, and designs applied with shape of objects such as 'web', 'drawer', 'wheel' and 'button' obtained high preference. Secondly, as for material, block, steel, exposed concrete board attracted higher preference as memorable materials than other materials. Material was affected by shape, pattern and color. Thirdly, pattern was the most lasting element. Designed pattern had higher preference than simple pattern. Fourthly, as for color, red and green with strong stimulation and attention attained priority having long lasting memory. Fifthly, when visiting a shop, sign out of 5 elements of shape, material, pattern, color and sign drew attention the most. As for the preference of location of sign, 'center top' was the most noticeable. The findings of this study could be utilized for facade design, and also could be used for commercialization considering highly preferred components, and top preference aspects of such elements. advised that to give an impression to customers is important to make a successful design for sales marketing, which, in turn, would lead customers to revisit the shop.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.4
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• pp.725-732
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• 2020

This paper uses variables following as : to follow me well(0-9), it takes a lot of time to make a decision (0-9), lethargy(0-9) during physical activity in the exercise learning program of the children in the marginalized class. This paper classifies 'gender', 'physical education classroom', and 'upper, middle and lower' of age, and observe changes in ego-resiliency and self-control through sports rehabilitation therapy to find out changes in mental health. To achieve this, the data acquired was merged and the characteristics of large and small numbers were removed using the Label encoder and One-hot encoding. Then, to evaluate the performance by applying each algorithm of MLP, SVM, Dicesion tree, RNN, and LSTM, the train and test data were divided by 75% and 25%, and then the algorithm was learned with train data and the accuracy of the algorithm was measured with the Test data. As a result of the measurement, LSTM was the most effective in sex, MLP and LSTM in physical education classroom, and SVM was the most effective in age.

• Journal of Convergence for Information Technology
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• v.11 no.7
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• pp.31-38
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• 2021

In this paper, in order to obtain the optimization of the RNN model used for sentiment analysis, the correlation of each model was studied by observing the trend of loss and accuracy according to hyperparameter tuning. As a research method, after configuring the hidden layer with LSTM and the embedding layer that are most optimized to process sequential data, the loss and accuracy of each model were measured by tuning the unit, batch-size, and embedding size of the LSTM. As a result of the measurement, the loss was 41.9% and the accuracy was 11.4%, and the trend of the optimization model showed a consistently stable graph, confirming that the tuning of the hyperparameter had a profound effect on the model. In addition, it was confirmed that the decision of the embedding size among the three hyperparameters had the greatest influence on the model. In the future, this research will be continued, and research on an algorithm that allows the model to directly find the optimal hyperparameter will continue.

• The Korean Journal of Applied Statistics
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• v.35 no.3
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• pp.395-406
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• 2022

This paper studies the outlier detection method for multivariate long memory time series. The existing outlier detection methods are based on a short memory VARMA model, so they are not suitable for multivariate long memory time series. It is because higher order of autoregressive model is necessary to account for long memory, however, it can also induce estimation instability as the number of parameter increases. To resolve this issue, we propose outlier detection methods based on the VHAR structure. We also adapt the robust estimation method to estimate VHAR coefficients more efficiently. Our simulation results show that our proposed method performs well in detecting outliers in multivariate long memory time series. Empirical analysis with stock index shows RVHAR model finds additional outliers that existing model does not detect.

• Korean Security Journal
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• no.12
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• pp.149-175
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• 2006

The purpose of this study is to understand and analyze the character of Islamic fundamentalism and Middle-Ease Terrorism. The aim of Islamic fundamentalism is reconstruction of Ummah(Muslim Unity), thee early society of Muhammad's age. Islamic movement insist to restore the spirit of Islam and purify the society of Islam from the United State and Western world. Now, Islamic fundamentalism movement as a new ideology, appeals to muslim in the world. The concept of modern national state from the Western countries do not accord with the traditional Islamic principles of reign and a spirit of nationalism. On the other hand, Islamic movement have no legitimacy in the system of modern state which govern the Arab world, regardless of the form of government. For this reasons, Islamic fundamentalist have an insecure position and their political activities. It is yet far from their purpose, to reconstruct the muslim unity, to realize the Islamic political principle close to their practical methods. Yet Islamic fundamental movement have not overcome the system of secular state. The Middle East terrorism supported by government might be eradicated by America's anti-terrorism policy. However, it will be serious and spread all over the world that the terrorist attack against the U. S. and western countries is acted by militant warriors of Islamic fundamentalism, uniting Arab and Islamic people's emotions against America and western countries. There are some reasons that we need to focus on the Arab and Islamic fundamentalism. We need to get out of misunderstanding and discrimination about Islamic religion and culture from America's and Western' standard Which are only their new world order. The discrimination of America and western nations against muslim could make other ideologies, opposite to the world peace. There are a lot of foreign workers from Islam countries in Korea. We need to give consideration and attention to them for the our globalization and world peace. It is time to consider what to do for the nation's profit(economical, political, strategic)with right understanding. We are not safe and free from the terrorism yet.

• Korean Security Journal
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• no.11
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• pp.159-181
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• 2006

This study is concerned on Why The Certified Security certification is needed and How to control the security quality to get better service to the clients. Theses days are required The Certified Certificate in all the industry. And in this point of view, the certified certificate is a kind of confirmation by an authority to the person who has how much special knowledge and practice in a certain field. Moreover, in the functionalism society the certified certificate system would be very positive effect to the related industry and society as official measurement by an authority. The security is freedom from fear and anxiety. Which means the security can not be operated in isolation from citizen's safe-living expectation, and which is also dealing with valuable human being's life. For getting the better purpose the security industry employees should have more organized special training and education. As my understanding the certified certificate exam system is the confirmation by an authority, the certified certificate is only neutral evidence to get the confidence and credit from the clients. In this point of view the core point is How to control The Certified Certificate by a credied authority.