• Proceedings of the Korea Water Resources Association Conference
• /
• 2022.05a
• /
• pp.160-160
• /
• 2022

Floods are the most common natural disasters and are annually causing severe destructions worldwide. Human activities, along with expected increased extreme precipitation patterns as a result of climate change enhance the future potential of floods. There are proven evidence that infrastructure based responses to flood disaster is no longer achieving optimum mitigation and have created a false sense of security. Nature-based solutions(NBS) is a widely accepted sustainable and efficient approach for disaster risk reduction and involves the protection, restoration, or management of natural and semi-natural ecosystems to tackle the climate and natural crisis. Adoption of NBS in decision-making, especially in developing nations is limited due to a lack of sufficient scenario-based studies, research, and technical knowledge. This study explores the knowledge gap and challenges on NBS adoption with case study of developing nation, specially for flood management, by the study of multiple scenario analysis in the context of climate, land-use change, and policies. Identification and quantification of the strength of natural ecosystems for flood resilience and water management can help to prioritize NBS in policymaking leading to sustainable measures for integrated flood management.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.46 no.3
• /
• pp.293-302
• /
• 2023

This study examines and proposes standardization approaches to address the heterogeneous issues of metadata in drone imagery within the agricultural sector. Image metadata comes in various formats depending on different camera manufacturers, with most utilizing EXIF and XMP. The metadata of cameras used in fixed-wing and rotary-wing platforms, along with the metadata requirements in image alignment software, were analyzed for sensors like DJI XT2, MicaSense RedEdge-M, and Sentera Double4K. In the agricultural domain, multispectral imagery is crucial for vegetation analysis, making the provision of such imagery essential. Based on Pix4D SW, a comparative analysis of metadata attributes was performed, and necessary elements were compiled and presented as a proposed standardization (draft) in the form of tag information.

• Korean Medical Education Review
• /
• v.26 no.1
• /
• pp.48-54
• /
• 2024

The career choices of medical students are significant for both individual students and society, which relies on a robust public healthcare system. Medical schools should provide a conducive environment and diverse information to enable students to make mature career decisions. Yonsei University College of Medicine conducts extracurricular programs for students' career development, including the Career Choice Expo, Career Path Survey, Special Lecture on Career Development, and a Visible Radio Show focused on career counseling. Additionally, the intracurricular activities offered by the college include career advising to students through faculty advisors in learning communities based on students' reflective writing about career-related activities. Medical students, in the process of forming their career decisions, compare what they have learned in the medical school curriculum with information acquired through extracurricular activities, taking into consideration their individual characteristics. Through longitudinal discussions with faculty advisors in learning communities, medical students not only gain recognition for the validity of their exploratory activities but also develop a sense of self-efficacy in making career decisions. The career education program at Yonsei University College of Medicine aligns with recent perspectives emphasizing the integration of career counseling for medical students into the curriculum in order to increase effectiveness.

• Research in Mathematical Education
• /
• v.27 no.1
• /
• pp.25-47
• /
• 2024

Mathematical modeling activities are gaining popularity in K-12 mathematics education curricula worldwide. These activities serve dual purposes by aiding students in making sense of real-world situations intertwined with social justice while acquiring mathematical knowledge. Despite efforts to prepare teacher candidates for instructing in mathematical modeling within a single country, little attention has been given to teacher candidates' approaches to mathematical modeling on a social justice issue from different countries. This article employs an in-depth, small-scale comparative study to examine the approaches of U.S. and Korean teacher candidates in solving a justice-oriented mathematics task. Our findings reveal that, although both U.S. and Korean teacher candidates identified certain variables as key when constructing a mathematical model, Korean teacher candidates formulated a more nuanced model than U.S. candidates by considering diverse variables. However, U.S. teacher candidates exhibited a heightened engagement in linking the task to social justice issues, whereas Korean teacher candidates barely perceived real-world problems in relation to social justice concerns. This study serves as a valuable tool to inform the roles and limitations of teacher education programs, shaped within specific educational contexts.

• The Korean Journal of Elementary Counseling
• /
• v.11 no.2
• /
• pp.299-320
• /
• 2012

We have information through a variety of media such as language, pictures and internet. Since we get information through texts mostly, we can say that reading ability which enables a person to read a text and understand its meaning basically is the most essential for people to possess. Taking the advantage of the fact that a school is a place where learning and daily-life guidance can be made at the same time, we need to try encouraging students to involve in learning process and feel a sense of accomplishment by adding consultation between a teacher and a student or between a student and a student in Korean subject. This study selected two fifth grade classes of an elementary school of small and medium-sized city as an experimental group and a control group respectively and applied reading strategy program by using interaction of complementary lesson as the number of ten times during five weeks. It focused on making students interested in complementary class and encouraging them to become active participants. This study's goal is to see if the reading strategy program affects students' reading comprehension, metacognition and a sense of self-efficacy The results of the study are as in the following: first, the reading strategy program of complementary lesson is effective in students' reading comprehension and a range of factual understanding and sentimental understanding. Second, the reading strategy program of complementary lesson is effective in adjustment area as a subordinate factor of metacognition. Third, the reading strategy program of complementary lessonis effective in students' sense of self-efficacy. It is shown that experience of using new reading strategy and successful experience and help in peer-group members have a positive effects on a student's sense of self-efficacy. Forth, as the result of satisfaction evaluation over the program with the students' activity report and researchers' observation results, the study shows that the organization and operation of the program influences on students' effort and participation to reach the goal together positively. Through the results as above, we can say that the reading strategy program of complementary lesson have a positive effect on a student's reading comprehension, metacognition and a sense of self-efficacy.

• (The)Study of the Eastern Classic
• /
• no.59
• /
• pp.405-428
• /
• 2015

Painting theorists in Song dynasty often spoke 'Li' when they talked about paintings. But 'Li' of the song dynasty is not limited to the 'ethics'. First, it includes visible 'natural's truth', such as the differences of 'geography' and 'physics' between the depicted objects. Second, it also includes 'common sense' which was based on both the observation and the thinking. The theorists thought if the 'common sense' was improper in the painting, the whole work was invalid. Thirdly, it also includes 'the reasonable sense in special situation', which requires great imagination ability and elaborative faculty. For example, when playing wind instruments and stringed instruments in the same time at the same concert, the painter should accurately draw the different gestures of musicians according to that the wind instrument is 'sound when the finger lift' and the stringed instrument is 'sound after the finger have left' in that moment. Fourthly, it includes 'art reason', theorists call it as 'ShenLi' or 'MiaoLi'. 'ShenLi' or 'MiaoLi' require the creator to join the spiritual concept besides his observation and thinking. For example, 'banana in snow' is neither observed available nor thought of available, but is the result of spiritual concept of creators for seeking everlasting. And at last, it certainly includes 'the principle of ethics'. Painters often highlighted the ethical relations of the feudal nation and the value of individual gentleman through the allegory story of figure painting and even the sudden composition in the landscape painting. 'Geography', 'physical', and 'common sense' are required the meticulous observation and the rational thinking for the painted object. And 'the reasonable sense in special situation', 'the art reason', 'the principle of ethics' are required enhancing painting style in the painting artistic conception and realm of life based on the nuanced observation, making 'technology' into the 'Tao'. This is the six reasonable increasing requirements for the painting work. Therefore, 'seeking the final reason' is the fundamental spirit of painting theory of Song Dynasty.

• Journal of Intelligence and Information Systems
• /
• v.14 no.2
• /
• pp.83-102
• /
• 2008

Ubiquitous computing requires timely supply of contextual information in order to upgrade decision quality. In this sense, this study is aimed at proposing a multi-dynamic decision support system for highly ill-structured problems. Especially, it is very important for decision makers in the ubiquitous computing to coordinate conflicts among local goals and global goal harmoniously. The proposed Multi-Dynamic Decision Support System (MDDSS) is basically composed of both central structure and distributed structure, in which central structure supports multi objects decision making and distributed structure supports individual decision making. Its hybrid architecture consists of decision processor, multi-agent controller and intelligent knowledge management processor. Decision processor provides decision support using contexts which come from individual agents. Multi-agent controller coordinates tension among multi agents to resolve conflicts among them. Meanwhile, intelligent knowledge management processor manages knowledge to support decision making such as rules, knowledge, cases and so on. To prove the validity of the proposed MDDSS, we applied it to an u-fulfillment problem system in which many kinds of decision makers exist trying to satisfy their own objectives, and timely adjustment of action strategy is required. Therefore, the u-fulfillment problem is a highly ill-structured problem. We proved its effectiveness with the aid of multi-agent simulation comprising 60 customers and 10 vehicles under three experimental modes.

• Journal of the Korean Home Economics Association
• /
• v.18 no.2
• /
• pp.1-13
• /
• 1980

When we design a dress, we should not only consider the esthetic sense and the relationship between movements of the body and the type of dress, but also the combination between the qualities and proper uses of textiles. recently the sale of ready-made clothes has been booming but I wonder whether they have been made in accordance with research concerning body movements and dresses. I would like to make the following observations on dresses, because I have personally suffered the inconvenience of restricted arm movements when wearing ready-made clothes. I have made four types types of foundations with muslin and Jersey, with these foundations I measured the degree of tension or how much the waist-line was drawn up then the arm was moved in increments of 45 degree angles and there by covering the entire span of vertical and horizontal movements. I have intended to experiment with sleeves of differing height in several ways. Concerning the movement factor, I have determined that with excessive activity vertical movements are twice as uncomfortable as horizontal movements. Concerning the faburic, I have found that because jersey has more elastic qualities than muslin, it has proven to be more responsive to body movements. concerning dresses, I have fund that the higher the height of the sleeves, the more uncomfortable it is to move the arms and the greater the degree to which the waist-line is drawn up. As a result this experiment I have made the following observations. Firstly, the vertical movement of the arms to a 180 degree angle has the most extreme influence on the breadth of movement of the waist-line. Secondly, because jersey permits freer body movements than muslin, it should be the preferred material for use in making sportswear. Thirdly, the formula A·H/4+3 of the sleev's cap height is suitable for making street dresses and formal wear. The formula A·H/5 and A·H/6 are properly used when making working clothes and sportswear, and the formula A·H/8 is proper for a sleeping garment and clothes for patients. Fourthly when deciding to any garments, it is important to consider the amount of arm movement anticipated and the relationship between the material and the degree to which the waistline is drawn up. In nder-blouse, when we raise our arms to the most extreme position, we should at that point still have 20∼25 cm of material remaining under the waist-line which includes the maximum of 14.1cm plus part of the blouse and breath of skirt's belt. In the case of the over blouse it is proper for us to have the length of 17∼20 cm remaining below the waist-line.

• Journal of the Korean Chemical Society
• /
• v.55 no.2
• /
• pp.290-303
• /
• 2011

The purpose of this study was to introduce the practical model on the enhancement of the divergent and convergent thinking skills through inquiry instruction in science class. In this study, the creative thinking skill has been defined by divergent thinking skill as the narrow sense. In the science field, the problem solving thinking skill is just same as the inquiry thinking skill. Also, the problem solving thinking skill has been defined by convergent thinking skill as the critical thinking skill. This new instruction had been used for the college student in the class of general chemistry laboratory for the one semester. The first results had been founded that the students' divergent thinking skill had been increased significantly. Especially, the skills of recognition of problems, the skills of making hypothesis, and the skills of transformation and interpretation of data had been increased significantly. The second results had been founded that the students' convergent thinking skill had been increased significantly. Especially, the skills of making hypothesis, the skills of transformation and interpretation of data, and the skills of making conclusion and generalization had been increased significantly. The third results had been founded that the students' the creative and problem solving thinking skill had been increased significantly. Especially, the rest of all skills exception the skill of control variables had been increased significantly.

• Journal of the Korea Society of Computer and Information
• /
• v.21 no.6
• /
• pp.9-19
• /
• 2016

In finance literature, stock liquidity showing how stocks can be cashed out in the market has received rich attentions from both academicians and practitioners. The reasons are plenty. First, it is known that stock liquidity affects significantly asset pricing. Second, macroeconomic announcements influence liquidity in the stock market. Therefore, stock liquidity itself affects investors' decision and managers' decision as well. Though there exist a great deal of literature about stock liquidity in finance literature, it is quite clear that there are no studies attempting to investigate the stock liquidity issue as one of decision making problems. In finance literature, most of stock liquidity studies had dealt with limited views such as how much it influences stock price, which variables are associated with describing the stock liquidity significantly, etc. However, this paper posits that stock liquidity issue may become a serious decision-making problem, and then be handled by using data mining techniques to estimate its future extent with statistical validity. In this sense, we collected financial data set from a number of manufacturing companies listed in KRX (Korea Exchange) during the period of 2010 to 2013. The reason why we selected dataset from 2010 was to avoid the after-shocks of financial crisis that occurred in 2008. We used Fn-GuidPro system to gather total 5,700 financial data set. Stock liquidity measure was computed by the procedures proposed by Amihud (2002) which is known to show best metrics for showing relationship with daily return. We applied five data mining techniques (or classifiers) such as Bayesian network, support vector machine (SVM), decision tree, neural network, and ensemble method. Bayesian networks include GBN (General Bayesian Network), NBN (Naive BN), TAN (Tree Augmented NBN). Decision tree uses CART and C4.5. Regression result was used as a benchmarking performance. Ensemble method uses two types-integration of two classifiers, and three classifiers. Ensemble method is based on voting for the sake of integrating classifiers. Among the single classifiers, CART showed best performance with 48.2%, compared with 37.18% by regression. Among the ensemble methods, the result from integrating TAN, CART, and SVM was best with 49.25%. Through the additional analysis in individual industries, those relatively stabilized industries like electronic appliances, wholesale & retailing, woods, leather-bags-shoes showed better performance over 50%.