• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.3
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• pp.95-105
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• 2019

In recent years, image processing techniques for detecting road surface damaged spot have been actively researched. Especially, it is mainly used to acquire images through a smart phone or a black box that can be mounted in a vehicle and recognize the road surface damaged region in the image using several algorithms. In addition, in conjunction with the GPS module, the exact damaged location can be obtained. The most important technology is image processing algorithm. Recently, algorithms based on artificial intelligence have been attracting attention as research topics. In this paper, we will also discuss artificial intelligence image processing algorithms. Among them, an object detection method based on an region-based convolution neural networks method is used. To improve the recognition performance of road surface damage objects, 600 road surface damaged images and 1500 general road driving images are added to the learning database. Also, supervised learning using background object recognition method is performed to reduce false alarm and missing rate in road surface damage detection. As a result, we introduce a new method that improves the recognition performance of the algorithm to 8.66% based on average value of mAP through the same test database.

• Korean Journal of Remote Sensing
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• v.38 no.6_2
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• pp.1743-1747
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• 2022

Sentinel-2 can be used as proxy data for the Korean Compact Advanced Satellite 500-4 (CAS500-4), also known as Agriculture and Forestry Satellite, in terms of spectral wavelengths and spatial resolution. This letter examined cloud detection for later use in the CAS500-4 based on deep learning technologies. DeepLabV3+, a traditional Convolutional Neural Network (CNN) model, and Shifted Windows (Swin) Transformer, a state-of-the-art (SOTA) Transformer model, were compared using 22,728 images provided by Radiant Earth Foundation (REF). Swin Transformer showed a better performance with a precision of 0.886 and a recall of 0.875, which is a balanced result, unbiased between over- and under-estimation. Deep learning-based cloud detection is expected to be a future operational module for CAS500-4 through optimization for the Korean Peninsula.

• Journal of Intelligence and Information Systems
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• v.18 no.3
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• pp.79-96
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• 2012

As the pace of competition dramatically accelerates and the complexity of change grows, a variety of research have been conducted to improve firms' short-term performance and to enhance firms' long-term survival. In particular, researchers and practitioners have paid their attention to identify promising technologies that lead competitive advantage to a firm. Discovery of promising technology depends on how a firm evaluates the value of technologies, thus many evaluating methods have been proposed. Experts' opinion based approaches have been widely accepted to predict the value of technologies. Whereas this approach provides in-depth analysis and ensures validity of analysis results, it is usually cost-and time-ineffective and is limited to qualitative evaluation. Considerable studies attempt to forecast the value of technology by using patent information to overcome the limitation of experts' opinion based approach. Patent based technology evaluation has served as a valuable assessment approach of the technological forecasting because it contains a full and practical description of technology with uniform structure. Furthermore, it provides information that is not divulged in any other sources. Although patent information based approach has contributed to our understanding of prediction of promising technologies, it has some limitations because prediction has been made based on the past patent information, and the interpretations of patent analyses are not consistent. In order to fill this gap, this study proposes a technology forecasting methodology by integrating patent information approach and artificial intelligence method. The methodology consists of three modules : evaluation of technologies promising, implementation of technologies value prediction model, and recommendation of promising technologies. In the first module, technologies promising is evaluated from three different and complementary dimensions; impact, fusion, and diffusion perspectives. The impact of technologies refers to their influence on future technologies development and improvement, and is also clearly associated with their monetary value. The fusion of technologies denotes the extent to which a technology fuses different technologies, and represents the breadth of search underlying the technology. The fusion of technologies can be calculated based on technology or patent, thus this study measures two types of fusion index; fusion index per technology and fusion index per patent. Finally, the diffusion of technologies denotes their degree of applicability across scientific and technological fields. In the same vein, diffusion index per technology and diffusion index per patent are considered respectively. In the second module, technologies value prediction model is implemented using artificial intelligence method. This studies use the values of five indexes (i.e., impact index, fusion index per technology, fusion index per patent, diffusion index per technology and diffusion index per patent) at different time (e.g., t-n, t-n-1, t-n-2, ${\cdots}$) as input variables. The out variables are values of five indexes at time t, which is used for learning. The learning method adopted in this study is backpropagation algorithm. In the third module, this study recommends final promising technologies based on analytic hierarchy process. AHP provides relative importance of each index, leading to final promising index for technology. Applicability of the proposed methodology is tested by using U.S. patents in international patent class G06F (i.e., electronic digital data processing) from 2000 to 2008. The results show that mean absolute error value for prediction produced by the proposed methodology is lower than the value produced by multiple regression analysis in cases of fusion indexes. However, mean absolute error value of the proposed methodology is slightly higher than the value of multiple regression analysis. These unexpected results may be explained, in part, by small number of patents. Since this study only uses patent data in class G06F, number of sample patent data is relatively small, leading to incomplete learning to satisfy complex artificial intelligence structure. In addition, fusion index per technology and impact index are found to be important criteria to predict promising technology. This study attempts to extend the existing knowledge by proposing a new methodology for prediction technology value by integrating patent information analysis and artificial intelligence network. It helps managers who want to technology develop planning and policy maker who want to implement technology policy by providing quantitative prediction methodology. In addition, this study could help other researchers by proving a deeper understanding of the complex technological forecasting field.

• The Journal of the Korea Contents Association
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• v.5 no.1
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• pp.27-35
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• 2005

Recently, despite of the rapid progress of information technology in the medical and health fields, the development and management of problem sets about medical and education contents related with radiological technologist has been still achieved by manual and offline method using document editor. In this study, the unique web-based problem management system is designed and implemented. That system can efficiently manage and present various kind of problem set about integrated education and personal license without time and space limitations in order to improve the efficiency of supplementary training and to obtain the professional license for CT radiological technologist. The proposed system is composed of administration module and user module. The former supports several functions such as problem creation, problem categorization, user management, and adjustment of leveled assessment. On the other hand, the latter functions examination applying , problem retrieval, personal score retrieval, and interpretation viewing, and so on. In addition, our system is expected as a useful and practical system which provides problem interpretation and analysis of score results after applying for the examination. It can elevate ability of learning and information interchange among them preparing for CT professional radiological technologist licensing examination

• Hwankyungkyoyuk
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• v.14 no.2
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• pp.76-94
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• 2001

Promoting positive values, attitudes, participation and personal actions on the basis of the acquisition of one's knowledge and skills is emphasized on teaching environmental education. To complete this purpose of environmental education, it is necessary not only to use various and practical educational resources, but also to develop information system, with multimedia and internet, which are effective for learning. This research attempts to assess the consistency of planning, organization and operation of integrated program for social environmental education which was developed for the necessities mentioned above. We surveyed about the accuracy of contents, usefulness, convenience and easiness of Integrated program for social environmental education. Also, we used a questionnaire to clarify the values and attitudes of respondents after they took environmental education. Then, technically, descriptive statistical method has been used to analyze the results of these surveys. Finally, we conduct an examination of the distribution of chi-square to verify the relationship between the learner's experience of using computer and one's concern about environmental issues. The results of this program, developed by research team, can be assessed by following five basic elements: usefulness, practicality, appropriation, efficiency and effectiveness. More than 90% of respondents said that this program is convenient and easy to loam. Also, more than 85% of whole respondents identified that after teaming this program they recognized more clearly what the main contents of environmental education are. In addition, we got positive response from 93% of respondents that they could understand environmental problems. On the other hand, values and attitudes of respondents have not improved a lot after the environmental education compared with the remarkable change in their recognition and understanding of environmental issues; only 34% of respondents responded that they changed their life style for making better environment after teaming this program. But it is clear that they understand much better about the environmental policy after they are educated. Developed by using information system, this integrated program for social environmental education may get different results according to a respondent's experience of using computer. Therefore, the more a respondent got a chance to use computer for a long period of time, the more he/she gave positive evaluation on the convenience and easiness of this program. However, there was no certain relationship between the frequence of using computer and one's understanding of environmental issues. Futhermore, a person who has constant concerns about environmental problems showed more positive attitudes against the understanding of environmental education. This integrated program for social environmental education, characterized by integrated, specialized and efficient educational system, can also be used as a curriculum or teaching materials for environmental education for adults; especially, it would be appropriate for teaching learners at all levels, who have different personal characteristics, to let them acquire virtual education by using information system.

• Annual Conference of KIPS
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• 2001.04b
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• pp.727-730
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• 2001

초고속 인터넷 서비스의 확대에 따라 이를 교육에 직 간접적으로 응용하기 위한 노력이 지속적으로 진행되어 왔다. 특히 웹 기반의 가상강의 저작도구를 통한 웹 코스웨어는 원거리 학습자들의 학습 욕구를 자기 주도적인 학습을 통해 가능케 했고 기존의 텍스트, 사운드를 통한 가상강의에서 동영상이 가미된 주문형 교육 서비스(EOD: Education On Demand)가 가능해졌다. 그러나 이를 이용하는 학습자는 전체적인 모듈의 이해를 통해 수업이 진행됨에 따라 학습과정에서는 질의응답을 튜터를 통해 웹 캐스팅이 이루어졌다. 따라서, 질의응답은 텍스트 형식의 E-mail, 채팅, 게시판, 방명록을 통해 이루어지므로 학습자가 요구한 질의 내용을 잘못 이해하고 튜터가 학습 과정에서의 피드백을 제공하지 못함으로써 개인 학습의 동기부여가 감소됨에 따라 흥미를 잃게 되었다. 본 논문에서는 이러한 문제점을 개선하기 위해 멀티 캐스팅 기법을 통해 교육용 서버를 이용한 학습지원도구를 분석, 설계한다. 가상강의는 기본적인 컨텐츠를 제시하고 그를 통해 수업이 진행되는 과정에서의 질의응답을 일대다(One-To-Many)의 멀티 캐스팅 서비스를 튜터가 지정한 교육용 서버를 통해 텍스트 형식이 아닌 강의자료로 쓰인 문서 파일에 직접 작성하여 전송하게 된다. 따라서 튜터는 메일링 서비스를 통해 질문사항을 자신의 폴더 서비스로 확인하고 즉시 학습자에게 피드백을 제공함으로써 튜터와 학습자들간의 커뮤니케이션이 활발히 이루어지며, 상호작용의 증가를 통해 웹 기반의 컨퍼런싱(WBC: Web Based Conferencing)을 가질 수 있게 된다.rver는 Client가 요청한 Content(services)를 전달 해 주는 컨텐트 전달 모듈(Content Deliver Module)과 서버 Phonebook 엑세스 모들(Server Phonebook Access Module)로 구성되어 있다.외 보다 높았다(I/O ratio 2.5). BTEX의 상대적 함량도 실내가 실외보다 높아 실내에도 발생원이 있음을 암시하고 있다. 자료 분석결과 유치원 실내의 벤젠은 실외로부터 유입되고 있었고, 톨루엔, 에틸벤젠, 크실렌은 실외뿐 아니라 실내에서도 발생하고 있었다. 정량한 8개 화합물 각각과 총 휘발성 유기화합물의 스피어만 상관계수는 벤젠을 제외하고는 모두 유의하였다. 이중 톨루엔과 크실렌은 총 휘발성 유기화합물과 좋은 상관성 (톨루엔 0.76, 크실렌, 0.87)을 나타내었다. 이 연구는 톨루엔과 크실렌이 총 휘발성 유기화합물의 좋은 지표를 사용될 있고, 톨루엔, 에틸벤젠, 크실렌 등 많은 휘발성 유기화합물의 발생원은 실외뿐 아니라 실내에도 있음을 나타내고 있다.>10)의 $[^{18}F]F_2$를 얻었다. 결론: $^{18}O(p,n)^{18}F$ 핵반응을 이용하여 친전자성 방사성동위원소 $[^{18}F]F_2$를 생산하였다. 표적 챔버는 알루미늄으로 제작하였으며 본 연구에서 연구된 $[^{18}F]F_2$가스는 친핵성 치환반응으로 방사성동위원소를 도입하기 어려운 다양한 방사성의 약품개발에 유용하게 이용될 수 있을 것이다.었으나 움직임 보정 후 영상을 이용하여 비교한 경우, 결합능 변화

• KSCE Journal of Civil and Environmental Engineering Research
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• v.44 no.1
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• pp.49-62
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• 2024

Reckless development of the underground by rapid urbanization causes inspection delay on replacement of existing structure and installation new facilities. However, frequent accidents occur due to deviation in construction design planned by inaccurate location information of underground structure. Meanwhile, the electrical resistivity survey, knowns as non-destructive method, is based on the difference in the electric potential of electrodes to measure the electrical resistance of ground. This method is significantly advanced with multi-electrode and deep learning for analyzing strata. However, there is no study to quantitatively assess change in electrical resistance according to geometric conditions of structures. This study evaluates changes in electrical resistance through geometric parameters of electrodes and structure. Firstly, electrical resistance numerical module is developed using generalized mesh occurring minimal errors between theoretical and numerical resistance values. Then, changes in resistances are quantitatively compared on geometric parameters including burial depth, diameter of structure, and distance electrode and structure under steady current condition. The results show that higher electrical resistance is measured for shallow depth, larger size, and proximity to the electrode. Additionally, electric potential and current density distributions are analyzed to discuss the measured electrical resistance around the terminal electrode and structure.

• Journal of The Korean Association For Science Education
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• v.33 no.2
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• pp.425-443
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• 2013

We developed problem-solving type inquiry learning programs reflecting scientists' research process and analyzed the activities of science-gifted high school students, and the understanding and the effects of the programs after implementation in class. For this study, twelve science-gifted students in the 10th grade participated in the program, which consisted of three different modules - making a cycloidal pendulum, surface growth, and synchronization using metronomes. Diet Cola Test (DCT) was used to find out the effect on the improvement of the ability to design experiments by comparing pre/post scores, with a survey and an interview being conducted after the class. Each module consisted of a series of processes such as questioning the phenomenon scientifically, designing experiments to find solutions, and doing activities to solve the problems. These enable students to experience problem-solving type research process through the program class. According to this analysis, most students were likely to understand the characteristics of problem-solving type inquiry learning programs reflecting the scientists' research process. According to the students, there are some differences between this program class and existing school class. The differences are: 'explaining phenomenon scientifically,' 'designing experiments for themselves,' and 'repeating the experiments several times.' During the class students have to think continuously, design several experiments, and carry them out to solve the problems they found at first. Then finally, they were able to solve the problems. While repeating this kind of activities they have been able to experience the scientists' research process. Also, they showed a positive attitude toward the scientists' research by understanding problem-solving type research process. These problem-solving type inquiry learning programs seem to have positive effects on students in designing experiments and offering the opportunity for critical argumentation on the causes of the phenomena. The results of comparing pre/post scores for DCT revealed that almost every student has improved his/her ability to design experiments. Students who were accustomed to following teacher's instructions have had difficulty in designing the experiments for themselves at the beginning of the class, but gradually, they become used to doing it through the class and finally were able to do it systematically.

• Journal of Distribution Science
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• v.14 no.2
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• pp.65-72
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• 2016

Purpose - Recently on-the-job training (OJT) has become the most preferred training and development method with the emergence of the concept that workplace is the best place where learning take place. But many researchers argue that OJT is not helpful for the performance of organization because OJT is not systematic and mostly depend on quality of trainer. Since Jacobs & McGriffin introduced S-OJT (structured OJT), there has been plenty of researches. But most of the researches have focused mainly on employee's attitude and organizational performance caused by S-OJT and neglected a holistic approach of S-OJT as a system. S-OJT need to be analyzed comprehensively to understand training performance because S-OJT is operated as a system consist of input, process, and organizational context. Although S-OJT may create unintended consequences, there were few researches to explore them. Thus, the purpose of this study is to identify the critical success factors for S-OJT and to find unintended consequences of it. Research design, data and methodology - We conducted a case study on M business unit of A company which developed and has been implementing S-OJT program for years. We designed and prepared the process, collected and analyzed data for the study. We set the theoretical framework to analyze the case after reviewing theories and previous studies on S-OJT. We collected and analyzed internal reports and interview results of the employees of the M business unit. We tried to collect as many information as possible to secure the validity of the research results. Results - The critical success factors identified in the study are as follow. First, it is important to select and train proper trainers for S-OJT. Second, it is needed to develop structured training module. Third, organization have to use effective communication system like on-line community. Forth, trainer should have proper skills for training such as facilitating skill, coaching skill, and delivering skill etc. Fifth, proper learning place is needed. Sixth, organizational support is important especially, immediate supervisor support and concern is critical. Eleventh, it is needed to consider situational contexts. Among them, overload to the trainer will affect the effectiveness of S-OJT. In this study, we found an additional unintended consequence. "To teach is the best way to learn." Experience as a trainer give employee an opportunity to organize one's knowledge and skill and to attain facilitation skill, coaching skill, and relation skill. Thus, organization may use S-OJT to train the potential talent. Conclusions - Many organizations introduced S-OJT to train the newcomers because S-OJT drew attention as an important tool to develop employees. Following this trend, there has been increasing number of researches to find the results of S-OJT and identify the determinants of S-OJT success. However, most of the researches concentrated on finding effects of some factors neglecting holistic approach. This study tried to identify critical success factors affecting effectiveness of S-OJT by using case study and find additional unintended consequence. The results of the study will be useful for organizations which have a plan to adopt S-OJT.

• Journal of the Korean earth science society
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• v.36 no.3
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• pp.246-257
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• 2015

The purpose of this study was to develop and apply three types SMART instructional modules about the mineral resources and investigate its effect. One hundred students in the experimental group and 111 students in the control group from 6 classes in the $1^{st}$ year of a girl's high school participated in this study. One unit of tablet PC was provided to every two students in the experimental group and three types of SMART classes were implemented in class. Teacher-centered traditional classes were carried out for the control group. The instrument designed to assess the level of students' interest in mineral resources consisted of 10 items using 5-point Likert scale. To investigate the level of students' understanding, 15 items were developed on the mineral, mineral deposits, and the development of mineral resources. In addition, the participants were asked to describe advantages and disadvantages of the classes using the SMART modules. Results are as follows. First, participants in the experimental group showed a significantly higher level of interest on the mineral and the mineral learning than those in the control group. However, there was no significant difference between the two groups in terms of the desire to observe minerals and rocks. Second, students in the experimental group showed a higher level of understanding than the control group. The students with higher learning ability showed a significantly higher level of understanding than the lower group students. Third, the participants pointed out that the advantage of the SMART instructional modules was their experience in searching the relevant information and producing diverse outputs about mineral resource. On the contrary, the difficulties in coordinating opinions and decision making due to the excessive quantity of information were perceived as the disadvantage.