• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.186-188
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• 2014

In recent years, domestic as well as LTE wireless network of Wi-Fi and most used. In addition, mobile-intensive services that used mainly in our society makes it easier, SNS, application (APP), and file downloads. As such, the amount of data requested, while living at the time of mobile users will want to be safe from the earliest. And the wireless network communications mortality (3G, 4G (LTE), LTE-A) and Wi-Fi (802.11 n-2.4 G H z z H a c-5, 802.11 G), and users are mainly used in the death 4G (LTE), communication Wi-Fi, 802.11 n-2.4 GHz are used most frequently. As above, use the wireless network in order to safely and quickly developed the technology of the Li-Fi. Li-Fi light (visible light) technology to communicate with, and Wi-Fi (802.11 n-2.4 G z H) 100 times faster, LTE-A 66 times faster. However, the current Li-Fi to commercialise the big issue exists. In this paper, there are a lot of existing problems in the commercialization of Li-Fi being used in Wi-Fi, and a comparative analysis.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.3
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• pp.65-70
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• 2019

The purpose of this study is to understand the college students' needs for software curriculum which based on surveys from educational satisfaction of the software lecture evaluation, as well as to find out the improvement plan by applying the text content analysis method. The research method used the text content analysis program to calculate the frequency of words occurrence, key words selection, co-occurrence frequency of key words, and analyzed the text center and network analysis by using the network analysis program. As a result of this research, the decent points of the software education network are mentioned with 'lecturer' is the most frequently occurrence after then with 'kindness', 'student', 'explanation', 'coding'. The network analysis of the shortage points has been the most mention of 'lecture', 'wish to', 'student', 'lecturer', 'assignment', 'coding', 'difficult', and 'announcement' which are mentioned together. The comprehensive network analysis of both good and shortage points has compared among key words, we can figure out difference among the key words: for example, 'group activity or task', 'assignment', 'difficulty on level of lecture', and 'thinking about lecturer'. Also, from this difference, we can provide that the lack of proper role of individual staff at group activities, difficult and excessive tasks, awareness of the difficulty and necessity of software education, lack of instructor's teaching method and feedback. Therefore, it is necessary to examine not only how the grouping of software education (activities) and giving assignments (or tasks), but also how carried out group activities and tasks and monitored about the contents of lectures, teaching methods, the ratio of practice and design thinking.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.5
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• pp.1-18
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• 2019

A short-turn bus is a bus that is operated within a subsection of an existing bus line. Previous studies regarding short-turn buses decided optimal turn-back points for a single bus line rather than a bus network. Also, in-vehicle crowding which has a significant impact on transit convenience was rarely considered. Therefore, this study aimed to develop a methodology to set priorities for the introduction of short-turn buses of bus lines and sections, considering crowding. To achieve this objective, we calculated occupancies and crowding alleviation benefits of existing bus lines overlapping a new short-turn route based on transit card data, before and after the introduction of short-turn strategy. Also, operator and social costs caused by the introduction of short-turn buses were calculated. Those procedures were iterated over bus lines and sections to operate a short-turn service, and a section whose benefit-to-cost ratio (B/C) is the largest in a line was selected to operate a short-turn service in the line. After, priorities of bus lines to introduce short-turn services could be determined based on B/C values, and the optimum total fleet size could be determined when a short-turn strategy is applied in multiple lines.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.382-390
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• 2019

As there is severe competition in the global foldable display market, strategic technology planning is required. Patent analysis as a tool for technology planning has frequently been used due to data characteristics such as openness, formality, and detailed information. However, traditional patent analysis has various limitations such as quantitative approaches are limited in evaluating contents of patents and identifying core technologies of firms as they rely on number of patents, and qualitative approaches have time and cost problems as researchers have to investigate each patent on a case-by-case basis. In this research, we analyze core technologies of firms in the foldable display sector analyzing patent co-classification Network. Results show that the number of patent applications has rapidly increased since 2014, and 92% of these patents are held by two panel manufacturers, SDC and LGD, and two device manufacturers, SEC and LGE. Network analysis shows that the two panel manufacturers' core technologies are similar and two device manufacturers are notably different. This research provides implications to the sector. Moreover, this study provides unique results drawn from co-classification network analysis, and therefore, our research suggests patent co-classification analysis as an effective tool for technology planning.

• Journal of Broadcast Engineering
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• v.27 no.2
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• pp.185-197
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• 2022

Recently, deep learning networks with high performance for object recognition are emerging. In the case of object recognition using deep learning, it is important to build a training data set to improve performance. To build a data set, we need to collect and label the images. This process requires a lot of time and manpower. For this reason, open data sets are used. However, there are objects that do not have large open data sets. One of them is data required for license plate detection and recognition. Therefore, in this paper, we propose an artificial license plate generator system that can create large data sets by minimizing images. In addition, the detection rate according to the artificial license plate arrangement structure was analyzed. As a result of the analysis, the best layout structure was FVC_III and B, and the most suitable network was D2Det. Although the artificial data set performance was 2-3% lower than that of the actual data set, the time to build the artificial data was about 11 times faster than the time to build the actual data set, proving that it is a time-efficient data set building system.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.576-579
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• 2011

Wireless sensor network are widely all over different fields. Because of its distinguished characteristics, we must take account of the factor of energy consumed when designing routing protocol. Wireless sensor networks consist of small battery powered devices with limited energy resources. Once deployed, the small sensor nodes are usually inaccessible to the user, and thus replacement of the energy source is not feasible. Hence, energy efficiency is a key design issue that needs to be enhanced in order to improve the life span of the network. In BCDCP, all sensors sends data from the CH (Cluster Head) and then to the BS (Base Station). BCDCP works well in a smallscale network however is not preferred in a large scale network since it uses much energy for long distance wireless communication. TBRP can be used for large scale network, but it weakness lies on the fact that the nodedry out of energy easily since it uses multi-hops transmission data to the Base Station. Here, we proposed a routing protocol. A Cluster Based Energy Efficient Tree Routing Protocol (CETRP) in Wireless Sensor Networks (WSNs) to prolong network life time through the balanced energy consumption. CETRP selects Cluster Head of cluster tree shape and uses maximum two hops data transmission to the Cluster Head in every level. We show CETRP outperforms BCDCP and TBRP with several experiments.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.827-831
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• 2023

This study sought to verify and examine the factors that influence social capital on social economy awareness. To summarize the results of the study, the results are as follows. As a result of analyzing the impact of social capital on social economy awareness, norms (t=3.228, p<.01) and participation (t=3.057, p<.01) had a significant impact on social economy awareness. In other words, the better the norms are observed and the higher the participation, the more influence it has on social economy awareness. Based on these results, the following implications were drawn. First, 'norms' refer to rules or standards that community members must adhere to within society, and these norms play a role in regulating the behavior of individuals and promoting social cooperation. Through this, it is believed that a strong normative system can have a significant impact on the way people participate or cooperate in social economy activities. Second, 'participation' is an indicator of how actively an individual or group participates in social activities. People with high levels of participation through social capital will have a high level of understanding of social economy awareness and will be able to act effectively. These results show that in previous studies, the better the norms were observed and the more trust and networks were strengthened, the higher the awareness of social economy. In contrast, in this study, norms and trust were found to have an effect, but the network did not, showing a difference from the results of previous studies, so repeated research is expected to be necessary in the future. Considering the results above, strengthening and developing the elements of social capital such as norms and participation can have a positive impact on overall socioeconomic awareness and development.

• Information Systems Review
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• v.24 no.1
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• pp.1-19
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• 2022

Social media-based communication has become crucial part of our personal and official lives. Therefore, it is no surprise that social media sentiment analysis has emerged an important way of detecting potential customers' sentiment trends for all kinds of companies. However, social media sentiment analysis suffers from huge number of sentiment features obtained in the process of conducting the sentiment analysis. In this sense, this study proposes a novel method by using Bayesian Network. In this model MBFS (Markov Blanket-based Feature Selection) is used to reduce the number of sentiment features. To show the validity of our proposed model, we utilized online review data from Yelp, a famous social media about restaurant, bars, beauty salons evaluation and recommendation. We used a number of benchmarking feature selection methods like correlation-based feature selection, information gain, and gain ratio. A number of machine learning classifiers were also used for our validation tasks, like TAN, NBN, Sons & Spouses BN (Bayesian Network), Augmented Markov Blanket. Furthermore, we conducted Bayesian Network-based what-if analysis to see how the knowledge map between target node and related explanatory nodes could yield meaningful glimpse into what is going on in sentiments underlying the target dataset.

• 한국공간정보시스템학회:학술대회논문집
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• 2005.11a
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• pp.141-146
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• 2005

최근 들어 텔레매틱스 분야에서 자동차의 위치 및 상태를 감시하고 관리하기 위해 무선 센서 네트워크의 활용이 크게 확장되고 있다. 기존에는 위치, 속도, 온도와 같은 이 기종 플랫폼간의 센서 데이타 수집 및 운용을 위해 독립적인 어플리케이션을 사용하고 있으며, 그러한 데이타 교환과 통합을 위하여 많은 비용이 소요되었다. OGC(OpenGIS Consortium)에서는 이러한 문제를 해결하고자 Sensor Collection Service 구현 명세를 제안하였다. Sensor Collection Service 구현 명세는 센서 데이타에 대한 질의를 처리하기 위한 표준 인터페이스를 정의하고 있으며, 질의 결과로는 센서에 대한 정보 및 센서데이타를 반환하도록 정의하고 있다. 본 논문에서는 Sensor Collection Service 표준 인터페이스를 이용하여 센서로부터 획득된 위치 및 속도, 온도 등의 다양한 데이타에 웹을 통하여 접근할 수 있도록 센서 데이타 서비스 시스템을 설계 잊 구현하였다. 따라서 사용자들은 센서 데이타 서비스 시스템을 통하여 센서의 종류와 위치에 관계없이 웹 상에서 위치 및 속도, 온도 등과 같은 다양한 센서 데이타를 획득할 수 있으며 시스템간 데이타의 교환 및 통합이 가능하다. 또한, 사용자가 쉴게 검색 및 분석할 수 있도록 Sensor Collection Service 표준 인터페이스 질의를 통하여 획득된 데이타를 센서의 위치와 측정 시간에 기반하여 보여주고 있다. 본 시스템은 다양한 센서 데이타의 획득과 타 시스템과의 데이타 교환이 용이하므로 텔레매틱스, 위치 추적 시스템, 상태 감시 시스템 등 다양한 분야에 효과적인 도구로 활용될 수 있다.이루어졌다 가능한 창조 모델로 이용될 수 있을 것으로 생각된다.}94,\;29.4{\pm}30.3,\;45.1{\pm}44$로 Mel 10군과 Mel 30군이 유의적인 감소를 보였으나(p<0.05) 이들 두 군 간의 차이는 나타나지 않았다. 이상의 결과로, 랫트에서 복강수술 후 melatonin 10mg/kg투여가 복강 내 유착 방지에 효과적이라고 생각된다.-1}{\cdot}yr^{-1}$로서 두 생태계에 축적되었다.여한 3,5,7군에서 PUFA 함량이 증가한 반면, SFA 함량은 감소하여 P/S 비율, n-3P/n-6P 비율은 증가하는 경향이었으며 이는 간장의 인지질, 콜레스테롤 에스테르, 총 지질의 지방산조성에서도 같은 경향을 볼 수 있었다.X>$(C_{18:2})$와 n-3계 linolenic acid$(C_{18:3})$가 대부분을 차지하였다. 야생 돌복숭아 과육 중의 지방산 조성은 포화지방산이 16.74%, 단불포화지방산 17.51% 및 다불포화지방산이 65.73%의 함유 비율을 보였는데, 이 중 다불포화지방산인 n-6계 linoleic acid$(C_{18:2})$와 n-3계 linolenic acid$(C_{18:3})$가 지질 구성 총 지방산의 대부분을 차지하는 함유 비율을 나타내었다.했다. 하강하는 약 4일간의 기상변화가 자발성 기흉 발생에 영향을 미친다고 추론할 수 있었다. 향후 본 연구에서 추론된 기상변화와 기흉 발생과의 인과관계를 확인하고 좀 더 구체화하기 위한 연구가 필요할 것이다.게 이루어질 수 있을 것으로 기대된다.는 초과수익률이 상승하지만, 이후로는 감소하므로,

• The Journal of the Korea Contents Association
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• v.15 no.8
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• pp.448-459
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• 2015

This study discusses on the social communication phenomenon on online social media by comparative analysis among bridging and bonding social capital. It examined the social media usage, social communication recognition, social communication satisfaction and intent social participation by exploring social capital which are the main influential factors of online social media. The online survey was conducted on 500 adults over the age of 20. As a result, in a quantitative respect a high rate of online media usage was observed all social capital. On the other hand, in a qualitative aspects 'understand' and 'trust' was came out in the bonding capital, but 'agreement' was not observed in all social capital. Also the influential factors of intent social participation were different in the social capital. The bonding was affected by 'understanding' but the bridging was affected by 'trust' and 'agreement'. Therefore, it was able to discuss that the understanding of online social media user and social communication characteristic must be preceded and the activator policy of social communication must consider the different features of online social capital.