• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.175-176
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• 2006

본 논문은 IMS 개발-에 있어서 컨버전스 서비스를 지향하는 망 진화 방향을 제안한다. 4 세대 라고 언급하고 있는 4G 네트워크의 핵심인 IMS 는 3GPP 에서 표준화를 진행하며, ITU-T, MSF, TISPAN 과 같은 표준화 단체에서도 유사한 망구조로 제안하고 있다. 그러나 IMS망을 통하여 생성되는 컨버전스 서비스로의 발전에는 고려해야 할 사항들이 많이 있다. 본 논문에서는 망구조를 통하여 단말의 입장과 서비스의 진화방향을 제안한다.

• Proceedings of the IEEK Conference
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• 2007.07a
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• pp.145-146
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• 2007

HSPA의 기술이 발전되어 오면서 WCDMA 망을 활용한 PS 기반의 서비스는 계속적으로 발전되어 오고 있다. 그러나 다양한 IP-CAN 과의 연동을 고려한 서비스 구조에 대해서는 더욱 연구가 되어야한다. 따라서, 본 논문에서는 IMS 기반의 서비스 개발에 있어서 고려되어야 하는 IMS 서비스 구조에 대해서 연구한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.10
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• pp.4176-4197
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• 2020

Botnet is a type of dangerous malware. Botnet attack with a collection of bots attacking a similar target and activity pattern is called bot group activities. The detection of bot group activities using intrusion detection models can only detect single bot activities but cannot detect bots' behavioral relation on bot group attack. Detection of bot group activities could help network administrators isolate an activity or access a bot group attacks and determine the relations between bots that can measure the correlation. This paper proposed a new model to measure the similarity between bot activities using the intersections-probability concept to define bot group activities called as B-Corr Model. The B-Corr model consisted of several stages, such as extraction feature from bot activity flows, measurement of intersections between bots, and similarity value production. B-Corr model categorizes similar bots with a similar target to specify bot group activities. To achieve a more comprehensive view, the B-Corr model visualizes the similarity values between bots in the form of a similar bot graph. Furthermore, extensive experiments have been conducted using real botnet datasets with high detection accuracy in various scenarios.

• Journal of Korean Academy of Nursing
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• v.38 no.3
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• pp.372-382
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• 2008

Purpose: The purpose of this study was to develop a multidimensional suicide prevention program for Korean elders by utilizing a community network and to evaluate its effect. Methods: A non-equivalent control group pretest-posttest design was used. The subjects were recruited from two different elderly institutions located in D city and K province, Korea. Nineteen subjects in the control group received no intervention and 20 subjects in the experimental group received a multidimensional suicide prevention program. Results: There were more significant decreases in depression, suicide ideation, and increases in life satisfaction in the experimental group compared to the control group. Conclusion: According to the above results, the multidimensional suicide prevention program for Korean elders decreased stressful events like depression, and suicide ideation and increased life satisfaction through the community network. These findings suggest that this program can be used as an efficient intervention for elders in a critical situation.

• The Journal of the Acoustical Society of Korea
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• v.11 no.3
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• pp.14-24
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• 1992

This paper is a study on the consonant recognition using neural network. First, the part of consonant was separated from the sound of vowel and consonant by the use of acoustic parameter. The rate of length vs. zero crossing rate in the sound of consonant had been studied by dividing each consonant into several groups. Finally, for the purpose of consonant recognition, the composite neural network which consists of a control network and several sub-network is proposed. The control network identifies the group to which the input consonant belongs and the sub-network recognizes the consonant in each group.

• Journal of the Korean Dietetic Association
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• v.22 no.4
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• pp.310-319
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• 2016

Limitation of a questionnaire survey which is widely used is time and money, limited numbers of participants, biased confidence interval and unreliable results. To overcome these, we performed tendency and network analysis of diet using big Data in Koreans. The keyword on diet were collected from the portal site Naver from January 1, 2015 until December 31, 2015 and collected data were analyzed by simple frequency analysis, N-gram analysis, keyword network analysis and seasonality analysis. The results showed that diet menu appeared most frequently by N-gram analysis, even though exercise had the highest frequency by simple frequency analysis. In addition, keyword network analysis were categorized into four groups: diet group, exercise group, commercial diet program company group and commercial diet food group. The analysis of seasonality showed that subjects' interests in diet had increased steadily since February, 2015, although subjects were most interested indiet in July, these results suggest that the best strategies for weight loss are based on diet menu and starting diet before July. As people are especially sensitive to diet trends, researches are needed about annual analysis of big data.

• Journal of Information Processing Systems
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• v.3 no.2
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• pp.64-72
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• 2007

Mobile technology appears promising as a method to promote group performance in circumstances dependent on time, but not member proximity. However, the success of mobile technology in group decision-making situations has not yet been proven. This paper aims to see how mobile technology affects the performance of group decision-making tasks that should be resolved urgently and/or sources of idea are disconnected with on-line network. Laboratory experiment was used to investigate the effects of mobile factors on group decision-making. The results from the experiment supported the proposition that pressures of time and location play a significant role in the assessment of group decision performance measures. We found that the adoption of mobile technology to group decision-making procedures might be competitive when group decision-making tasks are urgent and sources of idea are disconnected with on-line network, even though mobile technology is not a panacea on which to depend when designing group decision-making.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.11
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• pp.4801-4811
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• 2011

The purpose of this study is to examine the factors influencing performance of internal, external environment and entrepreneurship in the social enterprise with network activity. This model tests various theoretical research hypotheses relating to performance of social enterprise, internal, external environment, entrepreneurship and network activity. The proposed model is analyzed to target social entrepreneurs. The results of hypothesis testing are as follows. First, organizational culture positively influence entrepreneurship. Second, environmental uncertainty positively influence entrepreneurship. Third, entrepreneurship positively influence managerial and social performance. Finally, organizational culture to entrepreneurship for high group of network activity is significantly larger than those for low group of network activity. In addition, environmental uncertainty to entrepreneurship for low group of network activity is significantly larger than those for high group of network activity.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.6
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• pp.52-59
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• 2008

Most pier performance analysis results for ad-hoc routing protocols have been based upon the model which each node in the network moves independently without restriction. In most real environments, however, it is very common for a group or multiple groups to move under the direction of group leader or group leaders instead of each node's independent movement. This paper presents the performance analysis of routing protocols for mobile ad-hoc network under group mobility environment. The comparative simulations have been made between a table-driven protocol, DSDV, and two on-demand protocols, AODV and DSR, under a group mobility model, RPGM, which is suitable for the practical applications such as military tactical operation. Multiple group movements are also included. The results show that the protocol performances for single group movement are very similar to node independent movement case. However some differences have been observed by varying pause time and connectivity.

• Journal of the HCI Society of Korea
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• v.12 no.2
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• pp.13-19
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• 2017

Various life-logging based on cloud service have developed social network according to the advanced technology of smartphone and wearable device. Daily digital life on social networks has been shared information and emotion and developed new social relationships. Recent life-logging has required social relationships beyond extension of personal memory and anonymity for privacy protection. This study is to determine social network group by using life-logging data obtained in daily lives and to categorize emotion behavior with anonymity guarantee. Social network group was defined by grouping similar representative emotional behavior. The public's patterns and trends was able to be inferred by analyzing representative emotion and behavior of the social groups network.