• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.854-856
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• 2017

최근 들어 모바일 디바이스의 발전으로 인해 생성되는 데이터의 종류는 다양해지고, 양은 방대해지고 있다. 이렇게 생성된 방대한 양의 데이터를 빅데이터라고 한다. 빅데이터들은 기존의 데이터 처리 방법과 다른 방법으로 처리되어야한다. 빅데이터 처리의 대표적인 방법인 관계형데이터베이스시스템(RDBMS)와 NoSQL 방법 중 대표적인 방법인 MySQL과 MongoDB의 데이터를 모델링한다. 설계된 데이터를 바탕으로 보다 편하고 알맞게 데이터베이스시스템 성능평가를 수행한다.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06d
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• pp.77-80
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• 2010

최근 개인정보 및 민감한 데이터에 대한 불법적인 접근 및 유출로 인하여 사회적 문제를 야기하고, 이에 따른 경제적인 파급효과와 함께 개인정보 및 민감한 데이터에 대한 보안에 대한 관심이 더욱 증가하고 있다. 또한 법령상으로도 개인의 주민등록번호, 계좌번호, 패스워드 등 개인정보가 포함된 DB에 대하여 데이터를 암호화하여 저장, 관리하도록 규정하고있다. 본 논문에서 공개 데이터베이스인 MySQL에서 이러한 개인정보 및 민감한 데이터에 대한 암호화를 통하여 데이터를 저장, 관리하는데 있어서 데이터의 속성에 따라 적절한 암호화 기법을 사용함으로써 암호화를 통한 데이터보호와 함께 속도 등의 성능상의 오버헤드와 운영, 관리상의 효율을 높이기 위하여 지원하는 암호화 기법에 대하여 알아보고, 암호화 기법별로 성능을 시험하여 데이터의 속성에 따른 최적의 암호화 방식의 적용에 대한 방안을 제시한다.

• Journal of Distribution Science
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• v.18 no.2
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• pp.79-89
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• 2020

Purpose: This research aimed at exploring the antecedents of feeling ashamed and anger when customers perceive the rightness of object of criticism induced from in-group failure triggered due to my mistake or others' mistake, and identifying the effects of shame and anger on customers' consumption type. Research design, data and methodology: This research used 2 (failure caused by my mistake versus failure caused by others' mistake) between- subjects design, and collected 353 data through on-line survey, and structural equation model of Amos 21.0 was used to verify the hypotheses developed by reviewing the past literature. Results: First, feeling anger motivates customers to choose compensatory consumption behaviors whereas shame leads people to choose adaptive consumption behaviors. Second, customer's feeling of shame and anger is depending on the perceived rightness of the criticism induced from the failure caused by my mistake or others' mistake. Conclusions: Marketers should notice that even shame and anger are included to negative emotions, customers who feel ashamed are different from customers who feel anger in view of approaching consumption. They should conduct their marketing focused on the adaptive consumption to ashamed consumers and do the marketing based on compensatory consumption to angry consumers.

• Korea Information Processing Society Review
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• v.30 no.2
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• pp.4-14
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• 2023

• Culinary science and hospitality research
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• v.7 no.2
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• pp.243-266
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• 2001

In order to attain the research objective which it sees with method of research the literature research which investigates an existing system with triangular position of one concept the relationship literature, a statistical data and information back from data analysis it arranged the data which is necessary in foundation, it applied. Travel ep with direct conversation investigation of the person in charge and experience of the researcher it accomplished a research with character during that time. The research result with afterwords provides a same current events point First. It is a diversification of marketing. Secondth. It is an exhibition and exhibition travel goods wool visitor concentrating. Thirdth. It attempts a travel agency merger anger. Fourthth, goods reservation it sleeps and the pro wool of the on-line travel agency against syen it is. Fifth. Advance reservation discount my execution or it is a customer objective card my introduction. Sixth. Must promote an individual travel goods development and an order travel goods development.

• Journal of Auto-vehicle Safety Association
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• v.15 no.1
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• pp.55-62
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• 2023

In this study, a chest deflection is predicted by introducing a deep learning technique with the results of the frontal impact of the USNCAP conducted for 110 car models from MY2018 to MY2020. The 120 data are divided into training data and test data, and the training data is divided into training data and validation data to determine the hyperparameters. In this process, the deceleration data of each vehicle is averaged in units of 10 ms from crash pulses measured up to 100 ms. The performance of the deep learning model is measured by the indices of the mean squared error and the mean absolute error on the test data. A DNN (Deep Neural Network) model can give different predictions for the same hyperparameter values at every run. Considering this, the mean and standard deviation of the MSE (Mean Squared Error) and the MAE (Mean Absolute Error) are calculated. In addition, the deep learning model performance according to the inclusion of CVW (Curb Vehicle Weight) is also reviewed.

• Proceedings of the KSRS Conference
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• v.2
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• pp.892-895
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• 2006

The atmospheric effects on the retrieval of sea ice concentration from passive microwave sensors are examined using simulated data typical for the Arctic summer. The simulation includes atmospheric contributions of cloud liquid water and water vapor and surface wind on surface emissivity on the microwave signatures. A plane parallel radiative transfer model is used to compute brightness temperatures at SSM/I frequencies over surfaces that contain open water, first-year (FY) ice and multi-year (MY) ice and their combinations. Synthetic retrievals in this study use the NASA Team (NT) algorithm for the estimation of sea ice concentrations. This study shows that if the satellite sensor’s field of view is filled with only FY ice the retrieval is not much affected by the atmospheric conditions due to the high contrast between emission signals from FY ice surface and the signals from the atmosphere. Pure MY ice concentration is generally underestimated due to the low MY ice surface emissivity that results in the enhancement of emission signals from the atmospheric parameters. Simulation results in marginal ice areas also show that the atmospheric and surface effects tend to degrade the accuracy at low sea ice concentration. FY ice concentration is overestimated and MY ice concentration is underestimated in the presence of atmospheric water and surface wind at low ice concentration. In particular, our results suggest that strong surface wind is more important than atmospheric water in contributing to the retrieval errors of total ice concentrations over marginal ice zones.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.11
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• pp.1706-1712
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• 2022

Recently, the safety of chemical substances has gained attention due to incidents occurring in petrochemical industrial complexes, such as gas leaks and fires. In particular, industrial complexes in Ulsan and Yeosu (South Korea) are valuable as they significantly contribute to the petrochemical industry, but accidents may occur due to chemical leakage. Therefore, in this study, sensor nodes are configured at an interval of 20 [m] based on outdoor facilities standards to respond to chemical accidents, and exposure consideration of 8 h (TWA) and 15 min (STEL) are proposed in TLVs. The proposed system pre-processes data collected in multi-hop communication at a cycle of 0.6-0.75 [s] using Python and stores it in the MySQL database through SQL and a real-time remote monitoring system that updates the stored data once every 5 s is implemented by linking MySQL and Grafana.

• Journal of the Korea Society of Computer and Information
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• v.15 no.8
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• pp.1-11
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• 2010

Many applications of DSMS(Data Stream Management System) require not only to process real-time stream data efficiently but also to provide high quality services such as data mining and data warehouse combining with DBMS(Database Management System) to users. In this paper we execute the performance benchmark of the combined system of DSMS and DBMS that is developed for high quality services. We use the stream data of network monitoring application system and combine the traditional representative DSMSs and DBMSs in a single system for the performance testing. We develop the total performance benchmark tool implementing JAVA language for the our testing. For our performance testing, we combine DSMS such as STREAM and Coral8 and DBMS such MySQL and Oracle10g respectively.

• Journal of Korean Academy of Nursing
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• v.27 no.2
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• pp.389-400
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• 1997

This study examined the effects of group social support on the reduction of burden and increase in well-being of mothers of developmentally delayed children. The research used a one group pre-pose experimental design. The independent variable in the experiment was group social support. Two series of 4-weekly meetings for group social support were conducted by the researcher with the intention of developing a self-help group. The dependent variables were burden and well-being. Well-being was operationalized as physical symptoms and quality of life. Thirty mothers of developmentally delayed infants from the rehabilitation center of a medical center participated in the study. Data were collected by interviews and a self-administered questionnaire. The mean age of the subjects was 29.9 years. Changes of the dependent variables between pre and post tests were compared using the t-test. Even though there was a slight improvement in the scores for the dependent variables, they were not statistically significant. The items, "I resent my baby". "I feel angry about my interactions with my baby", "I feel guilty in my relationship with my baby" showed a significant decrease in burden score and were statistically significant. Symptoms of loneliness, constipation, anxiety, restlessness were less and feeling of happiness was greater after participation in the group social support, than on the pretest. The mothers showed emotional instability and frustrations during the group sessions but their reactions in general were positive. Emotional support, stress management and information provided were identified as the most valuable content of the sessions. However, participation was not active due to the mother's denial, delayed acceptance and /or avoidance of their infants' problems. It can be seen that group social support for the mothers with developmentally delayed children should be provided after infancy when the mothers have time to accept their children's conditions and are ready to receive support. The use of comprehensive instruments which measure burden in both families and mothers needs to be developed for future research.