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Recently, as global space development and space risk have increased, in Korea, considerable attention has been diverted to the development of space surveillance radar (SSR) capable of wide-area and full-time monitoring. For the efficient development of domestic SSR, which is usually expensive, it is necessary to appropriately derive the requirements for SSR based on analyses of overseas advanced cases. In this study, based on an analysis of the space fence surveillance radar in the USA, the field of view for the search fence was set. By deriving and analyzing the maximum number of observable targets per day and the cumulative distribution of the duration of detection, a method was developed to derive the requirements for the search fence when developing a domestic SSR in the future. [ABSTRACT FROM AUTHOR]

In traditional criminal cases, there is a limit to information collection because information on the subject of investigation is provided only with personal information held by the national organization of legal. Surface web-based OSINT(Open Source Intelligence), including SNS and portal sites that can be searched by general search engines, can be used for meaningful profiling for criminal investigations. The Korean-style OSINT workflow can effectively profile based on OSINT, but in the case of individuals, OSINT that can be collected is limited because it begins with "name", and the reliability is limited, such as collecting information of the persons with the same name. In order to overcome these limitations, this paper defines information related to individuals, i.e., equivalent information, and enables efficient and accurate information collection based on this. Therefore, we present an improved workflow that can extract information related to a specific person, ie., equivalent information, from OSINT. For this purpose, different workflows are presented according to the person’s profile. Through this, effective profiling of a person (individuals) is possible, thereby increasing reliability in collecting investigation information. According to this study, in the future, by developing a system that can automate the analysis process of information collected using artificial intelligence technology, it can lay the foundation for the use of OSINT in criminal investigations and contribute to diversification of investigation methods. [ABSTRACT FROM AUTHOR]

As artificial intelligence services targeting humans increase, social demands are increasing that artificial intelligence should also be made on an ethical basis. Following this trend, the government and businesses are preparing policies and norms related to artificial intelligence ethics. In order to establish reasonable policies and norms, the first step is to understand the public's perceptions. In this paper, social data and news comments were collected and analyzed to understand the public's perception related to artificial intelligence and ethics. Interest analysis, emotional analysis, and discourse analysis were performed and visualized on the collected datasets. As a result of the analysis, interest in "artificial intelligence ethics" and "artificial intelligence" favorability showed an inversely proportional correlation. As a result of discourse analysis, the biggest issue was "personal information leakage," and it also showed a discourse on contamination and deflection of learning data and whether computer-made artificial intelligence should be given a legal personality. This study can be used as data to grasp the public's perception when preparing artificial intelligence ethical norms and policies. [ABSTRACT FROM AUTHOR]

This study was performed to improve the effectiveness of dietary education using a food ethics approach. Dietary education is a way of practicing food ethics based on Korean culture. The core values of dietary education and the keywords related to food ethics can be combined into environment · life, health · wisdom, and consideration · happiness. Sustainable dietary life comprises the value system of dietary education based on core values. To reach the ultimate goal of food ethics -sustaining the survival of the human race, the coexistence of humans and nature, the coexistence of humans and humans, and the fulfillment of food requirements are needed. These needs yield certain core principles, including respect for life, environmental preservation, justice, the priority of consumers, dynamic equilibrium, and the priority of safety. The extended ethical matrix with six core principles and three interest groups can be used for an ethical analysis either qualitative or quantitative. It is believed that if food ethics are introduced into dietary education programs, the effectiveness of education can be improved. [ABSTRACT FROM AUTHOR]

SNS data can catch the user's thoughts and actions. And the trend of the search portal is a representative service that can observe the interests of users and their changes. In this paper, the relationship was analyzed by comparing statistics on narcotics incidents and the degree of exposure to narcotics related words in tweets of SNS and in the trends of search portal. It was confirmed that the trend of SNS and search portal trends was the same in the statistics of the prosecution office with a certain time difference.In addition, cluster analysis was performed to understand the meaning of tweets in which narcotics related words were mentioned. In the 50,000 tweets collected in January 2020, it was possible to find meaning related to the sale of actual drugs. Therefore, through SNS monitoring alone it is possible to monitor narcotics-related incidents and to find specific sales or purchase-related information, and this can be used in the investigation process. In the future, it is expected that crime monitoring and prediction systems can be proposed as related crime analysis may be possible not only with text but also images. [ABSTRACT FROM AUTHOR]

Purpose: This study aimed to understand the experiences of married North Korean women's child-rearing, working lives, and their home and work environment in depth. Methods: This study adopted van Manen's hermeneutic phenomenological method to qualitatively analyze data. The participants were 8 married North Korean women defectors. Data were collected through in-depth interviews and observations from July 4 to August 20, 2018. Results: Nine essential themes emerged: more personal challenges after overcoming a life-threatening crisis; hopes of firmly settling in this land; the wound from the north, which chased them here; a body that becomes stronger through hardship; being stuck in a past full of anxiety and pain; the present is full of hope; hope for the future; sense of alienation from coworkers that cannot be overcome; and sense of power to endure an exhausting work life. Conclusion: This study provided a broader understanding of the life and experiences of married women from North Korea. It highlights the need for nurses to recognize their importance in nursing care. The study also suggests that academic and practical approaches for nursing, and basic data for a nursing intervention for married women from North Korea be provided. The study findings can be used as a basis for preparing a national policy that will help North Korean defectors to find employment and gain stability. [ABSTRACT FROM AUTHOR]

Text mining is a representative method of big data analysis that extracts meaningful information from unstructured and large amounts of text data. Social media such as Twitter generates hundreds of thousands of data per second and acts as a one-person media that instantly and directly expresses public opinions and ideas. The traditional media are delivering informations, criticizing society, and forming public opinions. For this, we compare the responses of SNS with the responses of media on the issue of the termination of the Korea-Japan GSOMIA (General Security of Military Information Agreement), one of the domestic issues in the second half of 2019. Data collected from 201,728 tweets and 20,698 newspaper articles were analyzed by sentiment analysis, association keyword analysis, and cluster analysis. As a result, SNS tends to respond positively to this issue, and the media tends to react negatively. In association keyword analysis, SNS shows positive views on domestic issues such as “destruction, decision, we,” while the media shows negative views on external issues such as “disappointment, regret, concern”. SNS is faster and more powerful than media when studying or creating social trends and opinions, rather than the function of information delivery. This can complement the role of the media that reflects public perception. [ABSTRACT FROM AUTHOR]

The purpose of this study was to examine the mediating effects of empathy in relation to contact experience of the elderly and their knowledge level of ageing. For this study data was collected from 20th Dec. to 30th of Dec. 2018 355 university students from D university in J. province were surveyed. Data was analysis by using reliability test, correlation analysis, hierarchical multiful regression analysis. The statistical significance of the mediating effects was confirmed by Sobel's verification. The results of the analysis showed that the partial mediation effect of empathy was verified with regard to the relationship between elderly contact experience and discrimination of elderly people. In addition, the partial mediation effect of empathy was verified between level of aging knowledge and the perception of elderly discrimination. The results of this study confirmed the necessity of developing practical education and training programs to improve the level of aging knowledge and to increase contact experience with elderly people. There is also a need to enhance empathy in order to improve the awareness of discrimination against elderly people in health and welfare departments among university students. [ABSTRACT FROM AUTHOR]

Purpose: The objective of this study was to determine the effects of self-efficacy and depression on the sense of family coherence in both cancer patients and their caregivers using the Actor-Partner Interdependence Model (APIM) analysis. Methods: A total of 274 patients were registered in the study, including 137 cancer patients who were undergoing chemotherapy in a day care ward and 137 primary caregivers. The data was collected from December 30, 2017 to July 30, 2018. Data were analyzed by the data analysis method using SPSS/WIN 20.0 (SPSS Korea Data Solution Inc) and AMOS 21.0 (SPSS Korea Data Solution Inc). Results: Self-efficacy of cancer patients had a direct effect on patient depression (β=-.24, p=.008). Self-efficacy of primary caregivers also had a direct effect on patient depression (β=-.51, p<.001). Factors significantly affecting cancer patient FSOC were cancer patient self-efficacy (β=.34, p<.001) and cancer patient depression (β=-.42, p<.001). Factors significantly affecting primary caregiver FSOC (Family Sense of Coherence) were cancer patient self-efficacy (β=.13, p=.026) and caregiver depression (β=-.29, p=.008). Conclusion: It is thought that self-efficacy and depression should be controlled to improve the family cohesion of cancer patients and their primary caregivers. [ABSTRACT FROM AUTHOR]

Nowadays as the use of mobile communication devices such as smart phones and tablets and the use of Computer is expanded, data is being collected exponentially on the Internet. In addition, due to the development of SNS, users can freely communicate with each other and share information in various fields, so various opinions are accumulated in the from of big data. Accordingly, big data analysis techniques are being used to find out the difference between the response of the general public and the response of the media. In this paper, we analyzed the public response in SNS about child allowance and childbirth grant and analyzed the response of the media. Therefore we gathered articles and comments of users which were posted on Twitter for a certain period of time and crawling the news articles and applied sentiment analysis. From these data, we compared the opinion of the public posted on SNS with the response of the media expressed in news articles. As a result, we found that there is a different response to some national policy between the public and the media. [ABSTRACT FROM AUTHOR]

In this study, both the altitude error due to the refraction and the range error due to the delay in the ionosphere with respect to the frequency are extracted according to the radar elevation to analyze the effect of atmosphere on the space surveillance radar. To achieve this, the radio refractivity profile is modeled using the measured data from domestic weather stations. Then, the altitude-error due to the refraction is extracted using the ray tracing method, and the range error in the ionosphere is extracted according to the frequency. Further, considerations for radar design with respect to the radar error characteristics are discussed based on the abroad space surveillance radar and proposed domestic space surveillance radar. This analysis of the error characteristics is expected to be utilized for the determination of radar location, range of steering, and frequency in the space surveillance radar design. [ABSTRACT FROM AUTHOR]

The purpose of this study is to propose a power demand volatility evaluation system based on LSTM and not to verify the accuracy of the demand module which is a core module, but to recognize the sudden change of power pattern by using deeplearning in the actual power demand monitoring system. Then we confirm the availability of the module. Also, we tried to provide a visualized report so that the manager can determine the fluctuation of the power usage patten by applying it as a module to the web based system. It is confirmed that the power consumption data shows a certain pattern in the case of government offices and hospitals as a result of implementation of the volatility evaluation system. On the other hand, in areas with relatively low power consumption, such as residential facilities, it was not appropriate to evaluate the volatility. [ABSTRACT FROM AUTHOR]

Continuous space development increases the occurrence probability of space hazards such as collapse of a satellite and collision between a satellite and space debris. In Korea, a space surveillance network with optical system has been developed; however, the radar technology for an independent space surveillance needs to be secured. Herein, an L-band phased array radar system for the detection and tracking of space objects is proposed to provide a number of services including collision avoidance and the prediction of re-entry events. With the mission analysis of space surveillance and the case analysis of foreign advanced radar systems, the radar parameters are defined and designed. The proposed radar system is able to detect a debris having a diameter of 10 cm at a maximum distance of 1,576 km. In addition, we confirmed the possibility of using the space surveillance mission for domestic satellites through the analysis of the detection area. [ABSTRACT FROM AUTHOR]

Smartphones and PCs have become essential components of our daily life. People are expressing their opinions freely in SNS by using these devices. We are able to predict public opinions on specific subject by analyzing the related big data in SNS. In this paper, we have collected opinion data in SNS and analyzed reputation by text mining in order to make a prediction for the will of the people before 19th presidential election in South Korea. The result shows that our method makes more accurate estimate than other election polls. [ABSTRACT FROM AUTHOR]

Lately, In addition to the increased interest in the big data field, there is also a growing interest in application fields through the processing of big data. Opinion Mining is a big data processing technique that is widely used in providing personalized service to users. Based on this, in this paper, textual review of users' places is processed by Opinion mining technique and the sentiment of users was analyzed through k-means clustering. The same numerical value is given to users who have a similar category of sentiment classified as a clustering operation. We propose a method to show recommendation contents to users by predicting preference using collaborative filtering recommendation system with assigned numerical values and marking contents with markers on the map in order of places with high predicted value. [ABSTRACT FROM AUTHOR]

As individual opinions are expressed and discussed through SNS, SNS is used as a new basis to estimate the direction of public opinion. This change also appears in election. So many voters state their views through SNS, so that candidates utilize it as a new space for communication. In this paper, positive mention in SNS were collected and analysed in the course of the election of Korean 20th Congressman, to understand how the mention on election in SNS affects the result of election. This result was compared with the traditional survey on public opinion, to find out which one more corresponds to the result. In conclusion, mention in SNS coincide more with the result of elelction than the traditional survey. [ABSTRACT FROM AUTHOR]

Purpose: To evaluate an educational effect of the mammography boot camp (MBC) for radiology residents and analyze affecting factors. Materials and Methods: Between December 2014 and February 2015, radiology residents in 16 institutions performed the MBC program. We compared the educational effect (score difference between pre- and post-camp test) using 25 case series and analyzed the affecting factors including institution, grades of residents, training periods, presence of sub-specialized breast staff, breast density, and types of cases. Results: The mean scores of 92 residents were 52.80 ± 18.10 and 72.50 ± 12.91 in the pre- and post-camp test, respectively (p = 0.001). There was no significant difference of educational effect according to institution (19.70 ± 16.31), grade, or training period. Although the educational effect of non-trainees was superior to that of trainees (28.10 ± 17.55 vs. 15.90 ± 14.22; p = 0.001), the scores of trainees were higher than those of non-trainees. The diagnostic accuracy showed more improvement in a fatty breast and cases with microcalcifications than compared with others. Conclusion: The MBC showed an effective educational result for radiology residents when interpretating a mammography. It was helpful even for non-trainees. The institution, grades training period, and presence of sub-specialized breast staff did not affect the educational effect. [ABSTRACT FROM AUTHOR]

The purpose of this study was to examine internet addiction and maladaptation among soldiers and to ascertain how family function mediated among army soldiers. A questionnaire survey was conducted with 313 soldiers currently serving military service and was analysed using the structural equation model. The results were summarized as follows: Internet addiction had a direct effect on military adjustment and family function mediated military adjustment. Moreover, internet addiction had an indirect effect through family function, family function had a partial mediate effect on the relationship between internet addiction and military adjustment among army soldiers. Based on the findings, this study discussed the need to develop preventive and therapeutic programs to enhance army soldiers military adjustment. [ABSTRACT FROM AUTHOR]

At this study, we select five colorful and high-acid fruits: grape, lemon, orange, grapefruit and kiwi, and we made a composite resin specimen and dipped into fruit juice in order to figure out influence that affects on surface corrosion and coloring. We dipped resin specimen into fruit juice by three-day and seven-day interval at 37℃. Control group used the resin that was not dipped into fruit juice. For surface change according to the time, it was observed by using scanning electron microscopy, and it was measured by using spectrophotometer for change of coloring degree. As a result of surface change of resin by using scanning electron microscopy, furrow size between surface particles increased, and rectangular rod-shape structure was emerged, and small prominent particles on bumps disappeared. As a result of coloring degree of resin by measuring spectrophotometer, a difference between experimental group appears with the darkest brightness in the case where it is dipped into grape extracts. [ABSTRACT FROM AUTHOR]

Objective: Sex differences in attachment types are absent during early childhood, but emerge in middle childhood. Prior research has shown that boys classify as more often avoidant than ambivalent. The purpose of this study was to investigate marked sex differences in the distribution of attachment types in middle childhood, especially in boys. Methods: Attachment was assessed with the Separation Anxiety Test in a sample of 208 boys in Grades 3 and 4. Their socioeconomic backgrounds and developmental histories were also collected. Results: The distribution of attachment types was differed from those in early childhood, with insecure boys more often avoidant (31.3%) than ambivalent (7.2%). Insecure-avoidant boys were rated as over 10% compared the global distribution. Conclusion: These results supported the hypothesis of adrenarche in middle childhood. Boys may be changed to have more avoidant types in attachment. [ABSTRACT FROM AUTHOR]

This paper aims to present the way to bring about significant results through performance improvement of learning algorithm in the research applying to machine learning. Research papers showing the results from machine learning methods were collected as data for this case study. In addition, suitable machine learning methods for each field were selected and suggested in this paper. As a result, SVM for engineering, decision-making tree algorithm for medical science, and SVM for other fields showed their efficiency in terms of their frequent use cases and classification/prediction. By analyzing cases of machine learning application, general characterization of application plans is drawn. Machine learning application has three steps: (1) data collection; (2) data learning through algorithm; and (3) significance test on algorithm. Performance is improved in each step by combining algorithm. Ways of performance improvement are classified as multiple machine learning structure modeling, +α machine learning structure modeling, and so forth. [ABSTRACT FROM AUTHOR]

Background: We analyzed the relationship between meal frequency and nutrition with mental health status, and provide basic data on health promotion for breakfast and dinner skippers compared to non-skippers. Methods: This is a cross-sectional study of 2,114 women aged 20-39 years who participated in the KNHANES in 2010-2012. We compared differences such as marital status, weight change, obesity, and underweightness, smoking, high-risk alcohol consumption, exercise, suicide ideation, stress perception, depression, blood pressure, lipid profile, 25-Hydroxyvitamin-D, and ferritin levels among meal-skipping groups by cross tabulation analysis and general linear model analysis. Results: The proportion of respondent undergoing weight loss efforts was over 50%, and of those roughly 75% were using a specific diet (e.g., fasting, skipping meals, single food diet). The breakfast and dinner skippers tended to be young, unmarried, and, had higher stress perception and suicide ideation than the non-skipping meal group. There were significantly higher incidents of obesity (body mass index ≥25 kg/m2, P=0.004), weight loss efforts, smoking, high-risk alcohol consumption, suicide ideation, and irregular menstruation in dinner skippers. In addition, there were significantly higher levels of under-weightness (P=0.004) and frequent eating out (over 5-6/week, P=0.005) in breakfast skippers. Conclusion: There were more physical and mental problems in dinner skippers in regards to high-risk alcohol consumption, suicide ideation, stress perception, and irregular menstruation. In the future, long-term studies are needed to reveal the correlation of meal frequency and nutrition with mental health status in patients who skip meals. [ABSTRACT FROM AUTHOR]

Purpose: To compare the effectiveness of percutaneous radiologic gastrostomy (PRG) by using cone beam CT and percutaneous endoscopic gastrostomy (PEG). Materials and Methods: This study retrospectively reviewed 129 patients who underwent PRG (n = 53) and PEG (n = 76) over a 2-years period. The C-arm cone beam CT images were obtained from all PRG patients before the procedure in order to decide the safest accessing routes. The parameters including technical success rates, complication rates and tube migration rates were all analyzed according to statistical methods. Results: The success rate of tube placement was higher in PRG than in PEG (100% to 93%, p = 0.08). Minor complications occurred in 5 patients o f the PRG grᄋ니p (10%; 5/53, 3 wᄋ니nd infection, 2 blood oozing), and occurred in 6 patients of PEG group (7.9%; 6/76, 5 wound infection, 1 esophageal ulcer). Major complications occurred only in 5 patients of PEG group (6.6%; 5/76, 1 panperitonitis, 4 buried bumper syndrome). There were no statistical differences of minor and major complication rates in the two groups (respectively, p = 0.759, p = 0.078). Tube migration rate was lower in PRG than PEG group (7.5% vs. 38.2%, p < 0.005). Conclusion: PRG using cone beam CT is the effective and safe method, the cone beam CT provides the safest accessing route during gastrostomy. Less tube migration occurs in the PRG than in PEG. [ABSTRACT FROM AUTHOR]