• International Commerce and Information Review
• /
• v.17 no.2
• /
• pp.307-327
• /
• 2015

Trade education methods that combine practical knowledge and on-site job training have significantly contributed in improving abilities of trade experts. For instance, GTEP and LINC have contributed to a substantial expansion of SME export performane. Moreover, students' cooperation experience have led to employment outcomes as SMEs can employ customized trade workers. I have conducted a survey to 100 students about university-industry collaboration. Results show that ICT skills and foreign language ability are the highest required conditions of employment while production and technology knowledge are the lowest. Furthermore, 50 companies operating in foreign markets responded that through industry-university cooperation, capabilities of university graduates have improved and trade education cooperation scheme is a success.

• The Journal of the Korea Contents Association
• /
• v.17 no.6
• /
• pp.436-451
• /
• 2017

In primary and secondary schools, various information, such as grade results, observation and counseling materials, and psychological examination results which are generated in the course of educational activities, are accumulated and managed in various forms. Nevertheless, there is no educational information system that provides the analytical information for diagnosing and grasping students in a multidimensional manner. This is reminiscent of situations in which doctors rely solely on clinical experience to treat patients without using the results of various tests on patients. As pointed out by the Ministry of Education in 'Educational Big Data Utilization Measures' of the 5th Basic Plan of Educational Informatization(2014 ~ 2018), the reason why educational information systems do not exist is because there are no basic research as well as comprehensive and systemic research on this field. Therefore, this study aims to design and implement a prototype for educational information system that enables customized student guidance by introducing the concept of analytical information systems that are used in various fields. We defined the core functions and contents of educational information system through job analysis and focus group interview, and implemented the prototype using Naver ProtoNow.

• Journal of Korean Society of Transportation
• /
• v.28 no.4
• /
• pp.19-30
• /
• 2010

It has become important to have some proper guidelines of how to provide public transport information services in response to the rapid IT developments and the wide spread of public information services. The current study takes a contextual approach to the analysis of public transportation information use under a dynamic decision situation, complementing the conventional cross-sectional approaches. Using the CHAID of decision tree induction based on decision table formalism applied to the survey data of activity travel and information use, the study found that the information type and medium choices are strongly affected by the decision contexts in addition to the individuals' socio-demographic characteristics. The results suggest an important implication to the market segmentation of information services for public transportation.

• Informatization Policy
• /
• v.23 no.3
• /
• pp.3-25
• /
• 2016

The Korean government has done annual fact-finding surveys on the use of e-government since 2007, but put little effort to analyse and draw implications. We analyzed the trend of the use of e-government in Korea using the survey results of 2012~2015. While the awareness and the user uptake of e-government in Korea have increased steadily, the relative portion and frequency of the use stagnates and falls back. Korean citizens still utilize in-person channel more than e-government channels, and the speed of the transfer from the former to the latter is not fast enough. While more than 95% of the Korean people intend to use the e-government as the main channel in the future, their actual rate of use was 43.2%. We suggest following measures to overcome the troubling situation and increase the uptake of e-government services in Korea through: the expansion of mobile e-government services, strengthening of seamless services, elevation of the level of customization, increasing frequency of using the current e-government services, and raise of the awareness level and the improvement of Korean E-Government Portal.

• Journal of Information Technology and Architecture
• /
• v.10 no.3
• /
• pp.371-378
• /
• 2013

Video-demand learning through E-learning continuously increases on these days. However, not all video-demand learning systems can be utilized properly. When students study by education videos not matched to level of their own, it is possible for them to lose interest in learning. It causes to reduce the learning efficiency. In order to solve the problem, we need to develop a recommendation system which recommends customized education videos according the study levels of students. In this paper, we estimate the study level based on the history of students' watching behaviors such as average watching time, skipping and rewinding of videos. In the experimental section, we demonstrate our recommendation system using real students' video watching history to show that our system is feasible in a practical environment.

• Journal of the Korean School Mathematics Society
• /
• v.18 no.1
• /
• pp.123-148
• /
• 2015

After government released the measures to reduce private tutoring and to advance math education, the Education Ministry carrying out projects to narrow the gap of education using ICT of the agricultural, mountain and fishing villages with 'ICT Supporting Business for the rural communities'. EBS(Educational Broadcasting System) also has established a website for self-directed math learning called EBSmath and offers various and customized services. This study has been conducted on how smartifact-assisted learning on EBSmath provided by 'ICT Supporting Business for the rural communities' will affect self-directed math learning of students. In other words, the purpose of this study is to see if students of the farming villages with poor surroundings of education using ICT can acquire knowledge for themselves and organize it systematically, and then they can finally produce new knowledge while they learn through EBSmath.

• Journal of Korean Society of Archives and Records Management
• /
• v.16 no.2
• /
• pp.81-112
• /
• 2016

This study aims to propose the adoption of a business management system, as well as suggest the functions and development directions for public organizations, which are required to establish the record management and information disclosure system under Government 3.0, rapidly respond to the needs for strengthening the responsibilities for explanation, and improve work efficiency. Recently, some of the public organizations that introduced the record management and information disclosure system adopted the Electronic Document System, which focuses on the function of electronic approval, and developed a records classification scheme for the system. This study aims to review the case of A organization, which recently developed an in-house records management system and established information strategy planning to adopt a customized business management system after establishing a business reference model throughout the organization, and suggests the directions of the electronic record production system for public organizations.

• Journal of Information Technology and Architecture
• /
• v.9 no.1
• /
• pp.57-66
• /
• 2012

Recently, with a rapidly growing of the mobile content market, a variety of mobile-based applications are being launched. But mobile devices, compared to the average computer, take a lot of effort and time to get the final contents you want to use due to the restrictions such as screen size and input methods. To solve this inconvenience, a recommender system is required, which provides customized information that users prefer by filtering and forecasting the information.In this study, an tailored multi-information recommendation system utilizing a Personalized information recommendation system on smartphone is proposed. Filtering of information is to predict and recommend the information the individual would prefer to by using the user-based collaborative filtering. At this time, the degree of similarity used for the user-based collaborative filtering process is Euclidean distance method using the Pearson's correlation coefficient as weight value.As a real applying case to evaluate the performance of the recommender system, the scenarios showing the usefulness of recommendation service for the actual restaurant is shown. Through the comparison experiment the augmented reality based multi-recommendation services to the existing single recommendation service, the usefulness of the recommendation services in this study is verified.

• Informatization Policy
• /
• v.26 no.2
• /
• pp.81-95
• /
• 2019

This study explores how the advanced data analysis capabilities of intelligent information technology are being utilized in politics. In particular, we focus on the fact that voter behavioral targeting in election campaigns comes into conflict with the democratic process in various ways. For this purpose, this study examines political micro-targeting and political bots. It is aimed at showing that these technology-based campaign techniques work as a factor preventing free expression of opinions and discussions, which are the core of democracy itself. Then we identify the attributes of the algorithm that affects them. As a result, this study suggests that the following issues might arise regarding intelligent information technology-based politics and democracy. First, inequality in political participation becomes more severe. Second, the public debate between voters gets more difficult. Third, superficial politics is prevalent. Fourth, single-issue politics and the exclusion of political representation is likely to increase. Fifth, political privacy might also be invaded. Based on our discussions, this study concludes that it is our role to find ways by which intelligent information technology and democracy can coexist.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2013.11a
• /
• pp.1483-1486
• /
• 2013

최근 무선통신의 급격한 발전과 스마트 기기의 확산으로 인해 Tving, pooq 등 다양한 모바일 방송 서비스가 급속도로 증가하고 있다. 또한 다양한 영상처리 기법 등이 등장함에 따라 4K, 8K급의 UHD 동영상들이 속속들이 등장하고 있다. 이로 인해 트랜스코딩을 통해 가공되는 동영상의 포맷 및 해상도 또한 매우 다양해질 것으로 전망된다. 현재까지의 트랜스코딩 연구사례는 사용자의 이동환경을 고려한 안정적 QoS 보장 또는 서버의 부하를 줄이기 위한 분산처리 기법 등의 연구 위주로 진행되어 온 것이 현실이다. 하지만 상기 조건(adaptive streaming 및 서버부하 처리)들을 충족시키긴 위해선 보다 효율적인 트랜스코딩 시스템의 제공이 선행 되어야 할 것이다. 이에 따라 본 논문에서는 사용자 관점에서 보다 빨리 스트리밍 서비스를 제공 받기 위하여 우선순위 큐 알고리즘을 적용한 시스템을 설계 및 구현하였다. 검증을 위하여 4가지 콘테이너(.MOV, .FLV, .MKV, .AVI)를 실험대상으로 하였고, 비교 대상 트랜스코딩 시스템은 상용 스트리밍 서비스인 YouTube를 활용하였다. 성능 측정결과, 총 트랜스코딩 완료시간은 YouTube에 비해 41.61%로 시간이 단축되었다. 또한 모바일 TV시청자가 55%를 차지한다는 점을 고려하여 컨트롤 서버에서는 최단시간 서비스 제공을 위하여 저해상도부터 추출하여 스트리밍 서버를 통해 송출하도록 구현하였다. 본 연구결과는 트랜스코딩 성능개선 뿐만 아니라 모바일 대상자를 위한 맞춤형 서비스를 보다 빨리 제공할 수 있을 것이며, 그 수요는 점차 증대될 것으로 예상된다.