• Korean Journal of Agricultural and Forest Meteorology
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• v.15 no.4
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• pp.320-331
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• 2013

The National Center for AgroMeteorology (NCAM) has designed a risk management solution for individual farms threatened by the climate change and variability. The new service produces weather risk indices tailored to the crop species and phenology by using site-specific weather forecasts and analysis derived from digital products of the Korea Meteorological Administration (KMA). If the risk is high enough to cause any damage to the crops, agrometeorological warnings or watches are delivered to the growers' cellular phones with relevant countermeasures to help protect their crops against the potential damage. Core techniques such as scaling down of weather data to individual farm level and the crop specific risk assessment for operational service were developed and integrated into a cloud based service system. The system was employed and implemented in a rural catchment of 50 $km^2$ with diverse agricultural activities and 230 volunteer farmers are participating in this project to get the user-specific weather information from and to feed their evaluations back to NCAM. The experience obtained through this project will be useful in planning and developing the nation-wide early warning service in agricultural sector exposed to the climate and weather extremes under climate change and climate variability.

• Land and Housing Review
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• v.3 no.4
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• pp.307-314
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• 2012

This paper examines the characteristics and status of the major development policies for under-developed region by ministries and studies how the awareness or perspective of public officials on such policies impact the policy environment. This paper aims to redefine the goal and strategy of regional development policy so that it can effectively contribute to enhancing the quality of life of residents and improving competitiveness of the region. The problems and improvement direction found out through a documentational and practical research on the development policy for underdeveloped region can be summarized as follows: Firstly, more streamlined and integrated policies which are currently fragmented being implemented by different ministries are needed to enhance the effectiveness of policy execution. Secondly, improvements on the process of securing government funding and operating systems are needed to guarantee the rational standard of providing state subvention, the expansion of comprehensive subsidy and the independence of policy execution. Thirdly, amendments on the policy measures are needed to support the development and execution of the customized projects, strengthen cooperation among those projects by establishing a system for effective regional development project.

• Journal of Internet Computing and Services
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• v.21 no.6
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• pp.57-69
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• 2020

As more people share their opinions in online communities, such as Internet portals and social networking services, more opinions are manipulated for the benefit of particular individuals and groups. In particular, when manipulations occur for political purposes, they influence election results as well as government policies and the quality of life. This type of manipulation has targeted the general public, and their analysis and detection has also focused on such manipulation. However, to more efficiently spread propaganda, recent manipulations have targeted common interest groups(e.g., a group of those interested in real estate) and propagated information whose content and style are customized to those groups. This work characterizes such manipulations on common interest groups and proposes method to detect manipulations. To this end, we collected and analyzed opinions posted on 10 common interest groups before and after an election. As a result, we found that manipulations on common interest groups indeed occurred and were gradually increasing toward the election date. We also proposed a detection system that examines individual opinions, their authors, and their collaborators. Using the collected opinions, we demonstrated that the proposed system can accurately classify more than 90% of manipulated opinions and that many of these opinions were posted by multiple collaborators. We believe that regular audits of opinions using the proposed system can quickly isolate manipulations and decrease their impact. Moreover, the proposed features can be used to identify manipulations in domains other than politics.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.279-284
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• 2022

As a study of the blended learning method on design education through the blended learning method, I would like to propose that more advanced learner-led customized design education is possible. Understanding in face-to-face classes and advantages in non-face-to-face classes can be supplemented in an appropriate way in remote classes. Advanced artificial intelligence and big data technology can provide personalized and subdivided learning materials and effective learning methods tailored to learners' levels and interests based on quantified data in design classes. In this paper, it was proposed to maximize the efficiency of the class by applying a method that exceeds the limitations of time and space through the proposal of the A La Carte model (A La Carte). It is a remote class that can be heard anytime, anywhere, and it is also possible to bridge the educational quality and educational gap provided to students living in underprivileged areas. As the goal of fostering creative convergence-type future talents, it is changing with a rapid technological development speed. It is necessary to adapt to the change in learning methods in line with this. An analysis of the infographic virtual space design and construction process through the A La Carte model (A La Carte) proposal was presented. Rather than simply acquiring knowledge, it is expected that knowledge can be sorted, distinguished, learned, and easily reborn with its own knowledge.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.276-279
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• 2022

The 4th industrial revolution refers to the transition to a knowledge society in which the production speed of knowledge is fast and the proportion of the knowledge industry is greatly increased. The reorganization of the industrial structure and the change of occupations and jobs due to new technologies are bringing about changes in education, and the development of digital technology has made education that is borderless, individual and dynamic, becoming the new standard of education. With these changes, interest in nano-degrees on new technologies or micro-degrees focused on core courses rather than regular course degrees is increasing. As a representative example, Udacity in the United States has opened and operated online nanodegree courses related to jobs, and collaborates with major companies to develop and educate core training courses necessary for companies, thereby efficiently supporting companies in securing talent. With the revitalization of online vocational and job training, an environment has been prepared in which individuals can set goals for vocational competency development and continue their portfolio-based sustainable learning. However, for effective vocational education, automated and personalized educational content design should be preceded. To this end, in this paper, we propose a personalized career and course map recommendation system in the era of online learning

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.23-31
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• 2024

The purpose of this study is to present the direction of teacher training to the future society by analyzing the key directions for teacher training announced by the Teacher Education and Training Department of the Ministry of Education for the past three years (2021, 2022, and 2023). The research results are as follows. First, there has been no change in the background for teacher training over the past three years. The background for the promotion of teacher training over the past three years is to increase teacher expertise, respond to the future environment, improve the quality of teacher training, and secure momentum for educational policy. The details of the background for the promotion have also remained unchanged over the past three years. Second, the teacher training vision for the past three years is innovation in the teacher training system. To this end, the vision is to lead changes in the future educational environment in 2021, to lead future public education in 2022, and to provide customized educational support for individual students in 2023. In terms of training goals, in 2021, the goal is to continuously develop professionalism appropriate for the life stage of teachers and enhance teacher core competencies suitable for the future educational environment, and in 2022, to strengthen teacher capabilities appropriate for the future education system and secure social trust through enhancing teacher training. In 2023, the focus is on changing classroom teaching through strengthening teacher capabilities suitable for the future education system and improving teacher training. There are three main directions for teacher training over the past three years. First, customized training support, second, strengthening the future training system, and third, improving teacher training. These three are all similar over the past three years. In conclusion, there has been no significant change in the direction of teacher training over the past three years.

• Journal of The Korean Association For Science Education
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• v.31 no.8
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• pp.1055-1076
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• 2011

In this study, we investigated the changes in beginning chemistry teachers' teaching practice without mentoring program and after the implementation of mentoring program. Participants in our study included two chemistry teachers who have less than one year of teaching experience and three mentor teachers. We collected data such as video recordings of teacher's classes, interview, and recordings of mentoring after each class. The results show there were slight changes in teaching contents, teaching procedure, and explanation method without mentoring. On the other hand, there were a lot of significant improvement in classroom environment, teaching contents and teaching procedure, teaching-learning techniques, questioning and feedback, and explanation method after mentoring has been implemented. However, there were no easy changes in the teaching style, understanding of students, and ways of interaction with students in connection with teaching purposes. Based on the results of this study, we explored the possibilities of instructional improvement through mentoring on beginning chemistry teacher's teaching practice. Therefore, we consider that more systematic and long-term mentoring is necessary to improve professionalism in teaching beginning teachers. In particular, we propose mentoring programs reflecting the individual needs of beginning teachers.

• Journal of Information Technology and Architecture
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• v.11 no.4
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• pp.409-426
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• 2014

Korea has won 3 times in a row in the evaluation of e-government services in 2014. And the last year, the government-EA has been awarded the UN Public Service Award. Because of the development and execution of personalized integrated services based on the government-EA, Korea has won the two award from the UN. EA has been selected and proceeded as one of the 31 e-Government projects in early period, in 2005 the law which public sector must adopt the EA for efficient informatization had been enacted. Many public agencies in which actively utilized to derive such as internal and external performance through the EA. On the other hand, in the last 10 years, some public agencies have still been as recognized level of management in the EA. In this study, the main purpose is that to find out what is a major factor for successful use and result of EA, what is the EA success Model and how to examine it. To do that, this study will study the related prior research such as EA services, information systems success factors, performance measures, and develop the success model for EA and then examine the model. This study will contribute great implications in practical and theoretical in EA success model because this is the nation's first research that SERVQUAL model and the IS Success Model(DeLone & McLean 2003) has been combined and examined.

• Korean Journal of Agricultural and Forest Meteorology
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• v.17 no.4
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• pp.290-305
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• 2015

To improve the practicality of 'Early warning service about agrometeorological weather hazards' and operation efficiency to deliver site-specific about a lot of land unit possibility of weather hazard occurrence with the suitable counterplan to farmer, site-specific early warning service system that was built at the National Academy of Agricultural Science in Korea passed some of the error supplementation and service's stabilization stage during operation period for trial services from October 2014 to March 2015. Field service system covered about 470 volunteered farmer and 950 lots in Seomjin river downstream areas (part of Gwangyang-si, Hadong-gun, Gurye-gun). This system (Two track system) consists of early warning system (a lot of land unit) to inform farmer by individual text message and dispersal prior alert system that can see the jurisdiction's situation of local government. Individual text message about Seomjin river downstream that is our first study area was launched since $2^{nd}$ March 2015, and online site (http://www.agmet.kr) started business since April 2015. Service offers currently information of farm weather, farm weather hazard, nationwide weather risk and special weather alert, also our system will consistently expand the service target area and contents and improve the service quality until 2017 when our study finished. To prevent crops damage that was caused by crisis situation like farm weather and weather damage offer prior alert about agrometeorological weather harzard to volunteered farmer, thereby our study expects to help the reduction of farm's damage caused by weather derivatives.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.4
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• pp.100-115
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• 2020

Recently, with the development of various sensors and communication technologies, the market for wearable devices capable of recording physical activity in connection with a smartphone is expanding. The purpose of this study is to analyze physical activity for each transportation modes in order to utilize wearable devices in the field of transportation. This study consists of three steps: data collection, basic statistical analysis, and physical activity analysis. Four adult males and females were recruited as investigators, and physical activity and route information were collected through Fitbit, a commercial wearable device. From the collected physical activity information, a percentage of heart rate reserve (%HRR) using a heart rate was derived and used for analysis. As a results, it was found that there is a statistically significant difference in heart rate for each transportation mode, and physical activity intensity is the highest when walking. In addition, the results of physical activity analysis for the case of using different routes for the same OD were presented. The results presented in this study are expected to be used as basic data for preparing public transportation activation policies and providing customized services for the future.