The Society of Convergence Knowledge Transactions ISSN:2287-8920(Print) 융복합지식학회논문지

The purpose of the study is to observe the outdoor sand play by children aged 4 at the Bada Class so understand aspects of the play and their participation attitudes towards the play. The research subjects consisted of 27 children aged 4 who were attending the Bada Class, a private kindergarten, which is located at Seoul. In order to collect data for research, the study observed children’s outdoor sand play with video recording, conducted interviews with children. The findings were as follows: First, the outdoor sand play by the Bada Class children aged 4 had an aspect of sand play which always continues, yesterday, today and tomorrow, and play with natural objects. It means that they showed a high level of participation in the outdoor sand play enough to enjoy it about every other day, in particular, boys had a higher level of participation. Furthermore, it also means play at a sand playground is done with various themes but sometimes a single theme is repeated and intensified. Besides, outdoor sand play created a new role when they played with natural objects, leading to more active play. Second, as for the attitudes 4-year-old Bada Class children showed when they participated in the outdoor sand play, they had an active participation attitude, limited or passive attitude, onlooking or non-participatory attitude. This study has significance in that it extended the understanding of the outdoor sand play and reconfirmed its importance via specific case analysis on aspects of the outdoor sand play by 4-year-old children at the Bada Class and their participation attitudes.

The purpose of this study is to empirically analyze the effects of management consultants’ capabilities and positive psychological capital on job satisfaction. Through this, we will examine how management consultant ability, knowledge, attitude, which are sub-factors of management consultant competence; self-efficacy, optimism, hope, and resilience, sub-factors of positive psychological capital, affect job satisfaction. In order to analyze this study, the study subjects were selected and executed by Google Survey from September 26, 2019 to October 24, 2019, targeting Citified Management Consultants who are nationally qualified nationally and internationally qualified ICMCI CMC consultants. Although this research has been conducted on the consultant’s competence and self-efficacy, there have been few studies on the four sub-factors of competency and positive psychological capital, self-efficacy, optimism, hope and resilience. The effect of efficacy on job satisfaction is great significance. If the results of this study provide a program to cultivate positive psychological capital of management consultants, management consultants will be satisfied with their job and, if they are satisfied with their job, consultants working in the consulting industry with consulting certification will be more active in their works. for contribution to the development of Korean SMEs.

Global interest in renewable energy is increasing due to climate change caused by increased CO₂ emissions from fossil fuel use. As a result, renewable energy technology in various fields is developing, research is underway on it, and technical research on thermal acoustic systems is steadily underway. Thermoacoustic systems are available in various fields such as engines, pumps, refrigerators and refrigerators, and lasers, and do not require machines such as compressors, which can reduce energy loss because of its relatively simple structure. In this work, we conduct experiments on the length of the stack of thermoacoustic waves and the effect of the voltage supplied on the frequency, dB, and temperature differences before and after the stack. A thermosound wave generating device was constructed to measure the frequency, dB, and temperature generated by varying the length and supply voltage of the stack while the diameter and length of the resonator were fixed. Experiments show that changes in the length of the stack and the voltage supplied have no effect on the frequency changes of the thermosound wave, and that the voltage supplied increases to dB as the voltage supplied increases. It was also confirmed that the longer the stack is, the longer the length of the stack, the more time the thermal acoustic wave occurs. Using these experimental results, it is believed that it can be used as basic data for thermal acoustic waves.

Recently, SAGD method, which is extracted by reducing viscosity of bitumen by using high-temperature steam for extraction of non-traditional petroleum resources, has been used a lot. The number of oil wells for oil drilling for each oil producing country differs from region to region, and the water ratio of each oil well is measured using a watercut meter and a production prediction confirmation system has been established. However, conventional laboratory measurements of the moisture content of bitumen have not been able to provide real-time information compared to accurate information. In particular, since the oil sand mining method is an additional and more complex process than the general oil extraction method, the importance of the Watercut meter monitoring system is increasing. In this work, we conduct computational numerical analysis and experiments on ultrasonic-based SOR (steam to oil ratio)variations on heavy oil. According to the analysis, the maximum sound pressure point and ultrasonic reach time were analyzed as variables, and the higher the rate of water between water and oil, the shorter the ultrasonic reach time, the higher the rate of oil, and the smaller the maximum sound pressure. Using these experimental and numerical results, the development of watercut meters and watercut figures of petroleum produced in petrochemical plants’ wells can be monitored and used as basic data for the plant’s rear end process.

Light pollution from excessive artificial light in the city can influence a range of areas in the life of older persons. This study intends to identify the effects of urban light pollution on life satisfaction of older persons and to test mediating effect of vision in the relationship between light pollution and life satisfaction. For this aim, a total of 5,314 older persons living in the city who participated in 2020 Social Survey of Korea Statistics were analyzed. Analyses methods include frequency analyses, descriptive analyses, correlation analyses and multiple regression analyses. Study findings show that light pollution had significant effects on life satisfaction of urban older persons. That is, older persons’ more negative perception of light pollution in the community decreased the level of life satisfaction. Also, vision is found to mediate the effect of light pollution on life satisfaction. These results of the study suggest that various approaches are needed to prevent vision decline and to improve life satisfaction of older persons in planning urban lights.

In this study, structural integrity of district heating pipe by corrosion defect was evaluated using numerical analysis. A numerical model was constructed using the finite element method and verified by comparison with the experimental results obtained from the literature. For parametric study, a total of 80 scenarios was considered to obtain burst pressures caused by various pipe and corrosion defect configurations. In addition, the burst pressure prediction model was proposed using the linear regression analysis and machine learning technique such as Gaussian Process Regression, Support Vector Machine, Artificial Neural Network. Consequently, structural integrity was evaluated through the burst pressure prediction model and corrosion rate model. It was confirmed that the burst pressure prediction model showed high accuracy with a coefficient of determination of 0.9 or higher. When the large diameter of pipe with high corrosion rate was applied, the burst pressure was below 1.6MPa which is the operating pressure of district heating pipe.

In smart healthcare services, the continuity of health data, flexibility for urgent data, and scalability for supporting a number of clients are important. This paper proposes a CCR-based healthcare service system using multi-channel wireless broadcasting in order to support the continuity, flexibility and scalability. The proposed system adapts the level of urgency for CCR douments clients request and divides the documents into urgent CCR documents and plain documents. Then, the system broadcasts the divided CCR documents on multi channel separately to help the clients access the urgent document quickly. Also, the proposed system designs distributed index for CCR document, DICD, and the algorithms for clients to search CCR documents they request from the wireless channde using DICD. Through the performance evaluation, we show the proposed system outperforms the existing researches in the access time.

For fire safety, preventing the occurrence of a fire is the most fundamental method. Changes in weather are closely related to changes in human life, and prediction of fire occurrence according to changes in weather can make a great contribution to fire prevention. This study intends to analyze the change in fire occurrence according to the change of weather by using the prediction technology. The prediction model’s results were based on 4 input variables (temperature, humidity, wind velocity, and region); it measured the fire-risk prediction accuracy for several fire characteristics such as fire type, ignition source, ignition cause, and ignition material based on those weather conditions. For the analysis, data pre-processing was performed to calculate the ‘population frequency of fires per hour’ and classify them into risk grades, and the fire prediction model using artificial neural networks and decision trees was created. As a result of the analysis, the prediction accuracy of the fire risk for each detailed variable was compared, and a specific type of fire highly related to the weather was identified. This study can be used as basic data to identify detailed fire characteristics with a high risk of fire depending on weather conditions and to derive the risk level for each fire characteristic in the future.

This study analyzed the structure and link between risk factors in overseas construction projects by using the Partial Least Squares-based Structural Equation Modeling (PLS-SEM) to supplement the limitations of the existing quantitative risk analysis. For the analysis, 93 survey data of evaluation on the RBS (Risk Breakdown Structure) conducted by overseas construction project experts were used as variables and samples. The results are as follows. First, As a result of significance test of the constructed measurement model and structural model, all seven evaluation criteria were found to be statistically significant. This means that the structural relationship between latent and measured variables, latent and latent variables are appropriate. Second, the results of the analysis on the structural model, the item with the highest R² score (0.616) is the market risk affected by political, culture, legal risk. The item with the highest f² score (0.29) among latent variables is market risk affected by environment risk. When construction companies enter overseas, it is necessary to establish a complex risk countermeasure plan that considers relationship between risk factors.

In this study, we conducted an in-depth interview on the drone education experience as a serious leisure sports activity for various characteristics and learning factors of middle-aged men, psychological and mental stability after retirement, and life change to determine the development direction of leisure sports for middle-aged men. want to explore In addition, based on the analysis, it is intended to establish a future-oriented awareness of serious leisure culture and sports for middle-aged men in the future, and to contribute to the development of new sports education contents. For this study, a qualitative research method was adopted and the interview was conducted during the month of January 2019. The interview subjects were middle-aged men in their 30s to 60s who had participated in a drone education program, and the individual interviews took about 60 to 90 minutes. The interview was conducted in a narrative interview technique, but a semi-structured format was additionally used according to the questions prepared in advance for specific issues based on the research question. The concepts were organized by continuously reading and analyzing the data obtained through in-depth interviews and participatory observations with the study participants, and the groups were categorized into upper and lower categories. Through this process, 4 super-categories and 9 sub-categories were derived. The upper category is opportunity, effort, perseverance, and development, and the lower category is the opportunity for beginning, sustainability, activity, hardship, passion, sense of achievement, restriction, desire for achievement, and change.

This study examined the mediating effects of self-esteem and depression on the relationship between social stigma and smartphone addiction of out-of-school adolescents. To this end, we analyzed adolescents data from the second year (2014) of the ‘Drop out Youth Panel Survey’ provided by the National Youth Policy Institute. As a result of the study, first, social stigma was found to have a significant and positive effect on smartphone addiction. Second, it was found that self-esteem did not mediate the relationship between social stigma and smartphone addiction. Third, it was found that depression mediates the relationship between social stigma and smartphone addiction. Fourth, it was found that self-esteem and depression sequentially multiple mediate the relationship between social stigma and smartphone addiction. Based on the results of this study, social countermeasures for social stigma, self-esteem, and depression were sought and discussed in coping and prevention of smartphone addiction of out-of-school adolescents. In addition, the implications and limitations of the results of this study were reviewed, and research that needs to be followed was suggested.

This project is the result of performing PBL in ‘Electronic Circuit’, a compulsory subject of the Department of Electronic Engineering, and focused on designing and manufacturing products. The experience of making a product is an important topic in many engineering education-related programs, and it has great competitiveness in the job market that requires engineers with practical experience. In this study, the contents of various subjects such as digital theory, microprocessor and C language as well as analog electronic circuits were integrated. The problem was structured to cultivate engineering design ability. Team activity was emphasized, various ideas were proposed through brainstorming, and the feasibility of the device to be developed was reviewed. The ultimate goal was to implement a hardware including an infrared emitter and detector, and a microprocessor to control the motor and LCD display. Compared to lecture-oriented classes, the results of class assessment were very good. In particular, in the case of PBL satisfaction survey, students answered the keyword of Collaboration most positively.

The purpose of this study was conducted to examine how the store image affects store loyalty in discount store. In order to establish a framework, this study investigated previous studies about the store image and store loyalty. Based of the existing research results, this study has drawn 2 hypotheses. For this purpose, a survey of 194 samples was analyzed using SPSS 25.0 and AMOS 23. The results are as follows. First, it turns out that the symbolic store image has a significant influence on the store loyalty. Second, it has been revealed that the functional store image can be composed of five factors: store atmosphere, salesman service, product factor, price factor, store location. It has been shown that store atmosphere, product factor, price factor, store location have a significant influence on the store loyalty. In the conclusion, we discussed the implications derived from the empirical results and suggested for future research In future research, it will be meaningful to study online stores and large discount stores while facing new environments such as the COVID-19 situation.

Recently, along with 5G technology public and private WiFi service areas have been greatly expanded. Also, the types and sizes of user traffic are increasing explosively. At the same time, the frequency of intrusion/attack by unauthorized malicious users using security vulnerabilities of wireless networks is also increasing significantly. Intrusion/attack characteristics are also diversifying, so the existing wireless network intrusion detection system has a high false positive rate, low detection efficiency, and weak generalization ability for intrusion and attack traffic. In this paper, as a method to improve generalization ability while avoiding the overfitting problem, we propose a structure that reduces the size of the CNN kernel and duplicates the convolutional layer for parallel operation. The NSL-KDD CUP data set was used as the test data set. As a result of experiments and analysis, the proposed CNN show 96.38% and 96.75% accuracy and true positive rates in performing sample tests to detect intrusion/attack.This showed an improvement of more than 2% compared to the existing DBN and RNN. Also, the false positive rate was 0.64%, lower than 0.88% and 0.91%.