• Korean Journal of School Psychology
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• v.18 no.2
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• pp.175-195
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• 2021

Intimate friendships and a sense of belonging have positive effects on adolescent's psychological adaptation. Belongingness orientation is the motivation to belong. It is divided into growth orientation and deficit-reduction orientation, both of which have different effects on psychological adaptation and interpersonal characteristics. This study was conducted to determine how adolescents' belongingness orientation affected their psychological adaptation and friend networks. Students in their second year of middle school were surveyed both at the beginning and end of the spring semester. Friend networks were measured through network centrality analysis. Multilevel regression analysis produced three major results. The first major result was that the correlations between growth orientation and loneliness and between growth orientation and stress at the beginning of the spring semester was statistically significant even when friend network centrality was included in the analysis model, but the correlation between deficit-reduction orientation and loneliness and between deficit-reduction orientation and stress were not statistically significant. The second major result was that growth orientation significantly predicted friend network centrality at the end of the spring semester. This effect was significant even when friend network centrality at the beginning of the semester and psychological adaptation level at the end of the spring semester were added to the analysis model. The third major result was that the correlation between friend network centrality at the end of the semester and psychological adaptation level was statistically significant even when psychological adaptation levels at the beginning and the end of the semester were included in the analysis model. This study is meaningful in that it had a short-term longitudinal design and empirically demonstrated the relationship between belongingness orientation and psychological adaptation level of adolescents and between belongingness orientation and the development of friend networks. Lastly, we discussed limitations of this study and provided suggestions for future research.

• Journal of the Korea Convergence Society
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• v.10 no.2
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• pp.217-225
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• 2019

The Latent Growth Modeling(LGM) is known as the typical analysis method of longitudinal data and it could be classified into unconditional model and conditional model. It is common to assume that the growth trajectory of unconditional model of LGM is linear. In the case of quasi-linear, the methodology for improving the model fitness using Sequential Pattern of Association Rule Mining is suggested. To do this, we divide longitudinal data into quintiles and extract periodic changes of the longitudinal data in each quintiles and make sequential pattern based on this periodic changes. To evaluate the effectiveness, the LGM module in SPSS AMOS was used and the dataset of the Youth Panel from 2001 to 2006 of Korea Employment Information Service. Our methodology was able to increase the fitness of the model compared to the simple linear growth trajectory.

• Journal of KIISE:Information Networking
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• v.36 no.3
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• pp.184-190
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• 2009

WiBro has advantages when both WLAN and 3G UMTS are adopted. Much research is being carried out in this area. However, the WiBro specification does not consider end-to-end security. Hence, another security protocol has to be adopted to support secure communication. Most previous research only focused on WiBro MAC performance improvement or security. In this paper, we adopt a security protocol such as IPsec, TLS, and DTLS, well known end-to-end security protocols, to make full use of WiBro in the IP network. Using NS-2 we simulated the adoption of end-to-end security protocol and evaluated performance and usability. Simulation shows DTLS had some performance advantages. All the protocols, TLS and IPsec are also suitable for use in WiBro.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.338-348
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• 2020

This study examined the longitudinal relationship between paternal depressive symptoms and maternal depressive symptoms simultaneously. This study also identified the interplay of paternal and maternal depressive symptoms for predicting elementary children's language development, their problem behaviors and their school adjustment. Using the data from the Panel Study on Korean Children for the 4th-8th years (2011~2015 year), this study used the Latent Growth Curve Model, which is helpful for examining longitudinal relationship differences among variables. The sample subjects were 1,754 parents and children. The results are as follows. The initial level of paternal depressive symptoms had a positive impact on the rate of change in maternal depressive symptoms. The initial level of maternal depressive symptoms had a negative impact on the rate of change in maternal depressive symptoms. Mothers' depressive symptoms showed not only the mothers' own depression problem. but also the self-effect and counterpart effect of depression on the fathers' depression problem. The rate of change in maternal depressive symptom mediated the relation between the initial level of parental depressive symptoms and children's receptive language, internalizing/externalizing problems, and school adjustment. Therefore, depression prevention and intervention programs for both fathers and mothers are needed for the healthy development and school adaptation of school-age children.

• The Mathematical Education
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• v.55 no.4
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• pp.447-465
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• 2016

The purpose of this study is to analyze longitudinal trends of students' mathematical affective domain by use of the data mining method. For this purpose, we used the Korea education longitudinal study(KELS 2005) which was the survey data for students' achievement test, affective domain test, teachers' evaluation, and parents' evaluation from $7^{th}$ grader in the year of 2005 to $11^{th}$ grader in the year of 2010. Subjects of this study is a total of 5040 students who answered to the mathematical affective domain survey in KELS 2005. The result findings are as follows. First, students' affective domain had changed negatively as they went up to higher grade. Second, if students' affective domain had built at a certain level in $7^{th}$ grade, the level did not change easily until $11^{th}$ grade. Third, major factors of students' affective domain were shown to be self-efficacy, intrinsic motivation, efforts and patient, and time management.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10c
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• pp.100-102
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• 2003

최근 인터넷 사용의 폭발적인 증가와 업무에 있어서 네트웍 의존도가 증가함에 따라 최종 사용자들은 좀 더 신뢰성 있는 네트웍 서비스를 요구하게 되었다. 또한 보편적인 인터넷망은 최선형 서비스 (best­effort service)를 모델로 하기 때문에 종단간(end­to­end) QoS(Quality of Service)를 만족시키지 못하고 있다. 따라서, 네트웍 관리자는 최종 사용자 관점에서 네트웍 성능을 모니터링하여 언제, 어느 구간에서 QoS를 만족시키지 못하는지 파악하기를 원한다. 본 논문에서는 IP 상에서의 전송프로토콜 별 종단간 QoS 측정 방법을 연구하고 네트웍 제공자와 사용자간에 체결한 SLA(Service Level Agreement)를 만족하는지 분석하여 문제 구간 및 노드를 파악할 수 있는 시스템의 구조를 제시한다.

• Journal of Digital Convergence
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• v.18 no.1
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• pp.343-355
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• 2020

The purpose of this study was to analyze the relationship between game addiction and social stigma of adolescents outside school. After examining the previous research focusing on the Public stigma & Self-stigma theory, We intended to examine how game addiction and social stigma affect each other over time, and the time causal relationship between the both. Using youth outside school panel 3rd, 4th, 5th data, This study analyzed the relationship between game addiction and social stigma of adolescents with school interruption longitudinally. The research method was analyzed by autoregressive cross-lagged model using two variables such as game addiction and social stigma using Amos25 program. The results showed that game addiction did not significantly affect social stigma at the next time, but social stigma had a significant effect on game addiction at the next time. Game addiction and social stigma have a strong auto-regressive effect, and the degree remains constant over time. Accordingly, this study suggested social co-prosperity, support from the local community, multidisciplinary viewpoints and cooperation between the public and private sectors.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.7
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• pp.1565-1570
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• 2014

In networking communication, nodes and base station send data to each nodes and destination nodes. In this perspective, it is very important to determine the direction in which data sent to each nodes or destination nodes. Ad-hoc routing protocol is a standard routing protocol that determines how the packets sent to destination. Ad-hoc routing protocol includes protocols such as Ad-hoc On-demand Distance Vector (AODV) and Dynamic Source Routing (DSR). In our efficient proposed protocol based on small end-to-end sequence numbers, route direction can be changed properly with the assistance of helper nodes. In this paper, we focus on the simulation analysis of proposed protocol and comparison with other routing protocol models such as AODV and DSR. We simulated using Network Simulator (NS-2) by parameters such as simulation time, number of nodes and packet size based on our metrics (packet delivery fraction, routing load, data throughput). Our proposed protocol based on small end-to-end sequence numbers shows better performance and superior to other two protocols.

• Korean Journal of Social Welfare
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• v.63 no.1
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• pp.187-215
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• 2011

This study examined the longitudinal relationship between depressive symptoms and alcohol use based on the tension reduction hypothesis and the intoxication hypothesis considering for path of depressive symptoms on alcohol use and vice versa simultaneously. And this study examined the effect of psychosocial behavior factors (i.e. smoking level, self-esteem, satisfaction with family relationships, and satisfaction with social relationships) on depressive symptoms and alcohol use. Using the data on the Korea Welfare Panel Study for the 1st, 2nd, and 3rd years, this study were estimated using the Latent Growth Curve Model which is helpful for examining differences between the two. The results are as follows: the initial level of alcohol use had a positive impact on the rate of change in depressive symptoms, thereby supporting the intoxication hypothesis. Second, self-esteem and satisfaction with family relationships act as variables with the biggest effect on the initial level and the rate of change in depressive symptoms, whereas other psychosocial behavior factors such as smoking level and satisfaction with social relationship exert the largest influence over the initial level and the rate of change in alcohol use. This study has implications in that it clarified the confused relationship mechanism between alcohol use and depressive symptoms the two. Based on the finding of the study, political and practical implications were discussed.

• The Journal of Bigdata
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• v.5 no.1
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• pp.11-27
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• 2020

In this paper, we developed a big data platform to store, process, and analyze effectively on such education longitudinal study data. And it was applied to the Seoul Education Longitudinal Study(SELS) to confirm its usefulness. The developed platform consists of data preprocessing unit and data analysis unit. The data preprocessing unit 1) masking, 2) converts each item into a factor 3) normalizes / creates dummy variables 4) data derivation, and 5) data warehousing. The data analysis unit consists of OLAP and data mining(DM). In the multidimensional analysis, OLAP is performed after selecting a measure and designing a schema. The DM process involves variable selection, research model selection, data modification, parameter tuning, model training, model evaluation, and interpretation of the results. The data warehouse created through the preprocessing process on this platform can be shared by various researchers, and the continuous accumulation of data sets makes further analysis easier for subsequent researchers. In addition, policy-makers can access the SELS data warehouse directly and analyze it online through multi-dimensional analysis, enabling scientific decision making. To prove the usefulness of the developed platform, SELS data was built on the platform and OLAP and DM were performed by selecting the mathematics academic achievement as a measure, and various factors affecting the measurements were analyzed using DM techniques. This enabled us to quickly and effectively derive implications for data-based education policies.