• Journal of the Korea Society of Computer and Information
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• v.27 no.9
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• pp.1-12
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• 2022

Traditional methods of measuring corneal ulcers were difficult to present objective basis for diagnosis because of the subjective judgment of the medical staff through photographs taken with special equipment. In this paper, we propose a method to detect the ulcer area on a pixel basis in corneal ulcer images using a semantic segmentation model. In order to solve this problem, we performed the experiment to detect the ulcer area based on the DeepLab model which has the highest performance in semantic segmentation model. For the experiment, the training and test data were selected and the backbone network of DeepLab model which set as Xception and ResNet, respectively were evaluated and compared the performances. We used Dice similarity coefficient and IoU value as an indicator to evaluate the performances. Experimental results show that when 'crop & resized' images are added to the dataset, it segment the ulcer area with an average accuracy about 93% of Dice similarity coefficient on the DeepLab model with ResNet101 as the backbone network. This study shows that the semantic segmentation model used for object detection also has an ability to make significant results when classifying objects with irregular shapes such as corneal ulcers. Ultimately, we will perform the extension of datasets and experiment with adaptive learning methods through future studies so that they can be implemented in real medical diagnosis environment.

• The KIPS Transactions:PartA
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• v.11A no.4
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• pp.243-250
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• 2004

Monitoring is used to see if a real-time system provides a service on time. Generally, monitoring for real-time focuses on investigating the current status of a real-time system. To support a stable performance of a real-time system, it should have not only a function to see the current status of real-time process but also a function to predict executions of real-time processes, however. The legacy prediction model has some limitation to apply it to a real-time monitoring. First, it performs a static prediction after a real-time process finished. Second, it needs a statistical pre-analysis before a prediction. Third, transition probability and data about clustering is not based on the current data. We propose the execution prediction model based on learning algorithm to solve these problems and apply it to real-time monitoring. This model gets rid of unnecessary pre-processing and supports a precise prediction based on current data. In addition, this supports multi-level prediction by a trend analysis of past execution data. Most of all, We designed the model to support dynamic prediction which is performed within a real-time process' execution. The results from some experiments show that the judgment accuracy is greater than 80% if the size of a training set is set to over 10, and, in the case of the multi-level prediction, that the prediction difference of the multi-level prediction is minimized if the number of execution is bigger than the size of a training set. The execution prediction model proposed in this model has some limitation that the model used the most simplest learning algorithm and that it didn't consider the multi-regional space model managing CPU, memory and I/O data. The execution prediction model based on a learning algorithm proposed in this paper is used in some areas related to real-time monitoring and control.

• Journal of The Korean Association For Science Education
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• v.25 no.4
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• pp.441-449
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• 2005

The purpose of this study was to examine the degree of cognitive conflict by learner personality and the method of presenting anomalous data to induce cognitive conflict. The participants of this study were 461 high school students. To arose cognitive conflict, an actual demonstration was done for half of the participants and a logical article for the rest. MBTI (Myers-Briggs Type Indicator) was used to find the learner personality types, and CCLT (Cognitive Conflict Level Test) was used to measure the degree of cognitive conflict aroused when anomalous data was confronted. The results of this study indicated that learner personality types influence the degree of cognitive conflict. First, participants were divided into two personality types via preferences on each of the four preference indices; extraversion (E) or introversion (I), sensing (S) or intuition (N), thinking (T) or feeling (F), judgment (J) or perception (P). The cognitive conflict scores of the thinking types were significantly higher than those of the feeling types. Participants were also divided four personality types according to personality functional types: ST, SF, NT and NF. SF type showed a significantly lower cognitive conflict score than any of the other types. According to the type of learner personality, cognitive conflict was influenced differently by the method of presenting anomalous data. For example, the judgment types had a higher cognitive conflict score by logical argument, and the perception types showed a higher score by demonstration. In conclusion, learner cognitive conflicts were influenced by personality types and the methods of presenting anomalous data.

• Journal of Intelligence and Information Systems
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• v.27 no.3
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• pp.231-252
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• 2021

Artificial intelligence (AI) is a key technology that will change the future the most. It affects the industry as a whole and daily life in various ways. As data availability increases, artificial intelligence finds an optimal solution and infers/predicts through self-learning. Research and investment related to automation that discovers and solves problems on its own are ongoing continuously. Automation of artificial intelligence has benefits such as cost reduction, minimization of human intervention and the difference of human capability. However, there are side effects, such as limiting the artificial intelligence's autonomy and erroneous results due to algorithmic bias. In the labor market, it raises the fear of job replacement. Prior studies on the utilization of artificial intelligence have shown that individuals do not necessarily use the information (or advice) it provides. Algorithm error is more sensitive than human error; so, people avoid algorithms after seeing errors, which is called "algorithm aversion." Recently, artificial intelligence has begun to be understood from the perspective of the augmentation of human intelligence. We have started to be interested in Human-AI collaboration rather than AI alone without human. A study of 1500 companies in various industries found that human-AI collaboration outperformed AI alone. In the medicine area, pathologist-deep learning collaboration dropped the pathologist cancer diagnosis error rate by 85%. Leading AI companies, such as IBM and Microsoft, are starting to adopt the direction of AI as augmented intelligence. Human-AI collaboration is emphasized in the decision-making process, because artificial intelligence is superior in analysis ability based on information. Intuition is a unique human capability so that human-AI collaboration can make optimal decisions. In an environment where change is getting faster and uncertainty increases, the need for artificial intelligence in decision-making will increase. In addition, active discussions are expected on approaches that utilize artificial intelligence for rational decision-making. This study investigates the impact of artificial intelligence on decision-making focuses on human-AI collaboration and the interaction between the decision maker personal traits and advisor type. The advisors were classified into three types: human, artificial intelligence, and human-AI collaboration. We investigated perceived usefulness of advice and the utilization of advice in decision making and whether the decision-maker's personal traits are influencing factors. Three hundred and eleven adult male and female experimenters conducted a task that predicts the age of faces in photos and the results showed that the advisor type does not directly affect the utilization of advice. The decision-maker utilizes it only when they believed advice can improve prediction performance. In the case of human-AI collaboration, decision-makers higher evaluated the perceived usefulness of advice, regardless of the decision maker's personal traits and the advice was more actively utilized. If the type of advisor was artificial intelligence alone, decision-makers who scored high in conscientiousness, high in extroversion, or low in neuroticism, high evaluated the perceived usefulness of the advice so they utilized advice actively. This study has academic significance in that it focuses on human-AI collaboration that the recent growing interest in artificial intelligence roles. It has expanded the relevant research area by considering the role of artificial intelligence as an advisor of decision-making and judgment research, and in aspects of practical significance, suggested views that companies should consider in order to enhance AI capability. To improve the effectiveness of AI-based systems, companies not only must introduce high-performance systems, but also need employees who properly understand digital information presented by AI, and can add non-digital information to make decisions. Moreover, to increase utilization in AI-based systems, task-oriented competencies, such as analytical skills and information technology capabilities, are important. in addition, it is expected that greater performance will be achieved if employee's personal traits are considered.

• Journal of the Korea Society of Computer and Information
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• v.25 no.11
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• pp.277-286
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• 2020

In this paper, we propose a new educational approach to help learners form concepts by identifying the properties of programming concepts targeting a group of experts in programming education. Therefore, we confirmed the typical properties of concepts by programming education experts for programming learning elements through conceptual metaphor analysis, which is a qualitative research method, and confirmed the validity through the delphi method. As a result of this study, we identified 17 typical properties of programming concepts that learners should form in programming education. The conclusions of this study are that need to compose the educational content more specifically for the conceptualization of learners' programming as follows: 1)the concept of a variable is to understand how to store data, how to set a name, what an address has, how to change a value, various types of variables, and the meaning of the size of a variable, 2)the concept of operator is to understand how to operate the four rules, how to deal with it logically, how to connect according to priority, meaning of operation symbols, and how to compare, 3)the concept of the control structure is to understand how to control the execution flow, how to make a logical judgment, how to set an execution rule, meaning of sequential execution, and how to repeat executing.

• Archives of design research
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• no.18
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• pp.113-121
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• 1996

Persuasion is one of the attractive channels to enhance the relation between markerters and consumers and deliver the true communication on products to the consumers. This arctic tried to examine the symbolic meaning system as a way of maximizing the visual communicational effect of persuasion, the efforts of marketers who are trying to utilize the psychology of the mass that consume the symbol rather than products and the symbol system as a mean of propaganda were analyzed as well. People in modern age, in general, place more value on the emotional assoessibility than the efficiency of the product, As a result, the ways of expression of propaganda approaching the mass are in the process of gradual change, which was another theme this article tried to explore. Ames sied that the human preoeption has a tendency to perceive things in some organized pattern, which can be applied to even untransparable and meaningless image. Human beings don't perceive what there is but what, thery believe there to be, and his peroeption are channelized by the opportunity of the past, his peroeption are channelized by the opportunity of the past, his experience of the environment, and the history of learning. To say another word, people not only recognize the objective form but also accept the inside meaning of the visual object. Their reponse to the visual object, therefore, include personal cognition, judgment, and attitued. The communication in visual design reveals the culture, society, and art in a complex symbol, and make synthetic cultural interpretation possible. It's pretty attractive, effective, and reasonable method to use symbolic meaning system as a way of persuasion. It is because communication means whole process from receiving and delivering the information and message to making common meaning system, to measuring the effect of the behavior change.

• The Journal of Sustainable Design and Educational Environment Research
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• v.14 no.2
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• pp.12-25
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• 2015

This study is currently presenting a creative education policy through the new 2015 revised curriculum and the Free semester system of Middle School as part of the education policy reform in the government-led, high freedom grade in each regional school board first, emotional schools, friendly school, campus type schools, etc. with creative thinking and improve students' autonomous judgment with the psychological and political reasons meant to provide amusement and certainty of their career choice. This creates space for creative education through the theoretical understanding of the educational philosophical thinking on creativity was to identify the appropriate means of educational space. The purpose of this study was to extract the linkage to produce creative educational environment that is generated through the philosophical thinking of the historical and psychological analysis of creativity with a human being. Future school construction has a future-oriented task should create a creative learning space in the center of the member schools. This creates space for creative education through the theoretical understanding of the educational philosophical thinking on creativity was to identify the appropriate means of educational space. Therefore Philosophical Thinking Creative School of members through the grounds centric collaboration focused on convergence enemy curriculum and school creative autonomy of operation which is central educational environment, that is diversified assistance as an attribute of the environment, space, space, flexible outdoor space, linking enemy center space, different types and sizes of the space case situation, the open space and spatial fusion can be seen the configuration doeeojim with different training space element.

• Journal of the Korea Institute of Building Construction
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• v.21 no.6
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• pp.665-676
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• 2021

As the number of deteriorated buildings increases, the importance of safety diagnosis and maintenance of buildings has been rising. Existing visual investigations and building safety diagnosis objectivity and reliability are poor due to their reliance on the subjective judgment of the examiner. Therefore, this study presented the limitations of the previously conducted appearance investigation and proposed 3D Point Cloud data to increase the accuracy of existing detailed inspection data. In addition, this study conducted a calculation of an objective building safety grade using a Deep-Neural Network(DNN) structure. The DNN structure is generated using the existing detailed inspection data and precise safety diagnosis data, and the safety grade is calculated after applying the state evaluation data obtained using a 3D Point Cloud model. This proposed process was applied to 10 deteriorated buildings through the case study, and achieved a time reduction of about 50% compared to a conventional manual safety diagnosis based on the same building area. Subsequently, in this study, the accuracy of the safety grade calculation process was verified by comparing the safety grade result value with the existing value, and a DNN with a high accuracy of about 90% was constructed. This is expected to improve economic feasibility in the future by increasing the reliability of calculated safety ratings of old buildings, saving money and time compared to existing technologies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.139-148
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• 2019

Fostering science-gifted individuals are very important for the future of the nation, and it is especially important to cultivate information-gifted individuals in the age of the fourth industry. There is no standardized curriculum for each gifted education center of the University. Therefore, in this study, we analyzed how effective the curriculum developed on the basis of computing thinking is to affect the characteristics of the information-gifted individuals. The curriculum developed on the components of computing thinking was applied to the information-gifted students of K University. In order to verify the effectiveness of the curriculum, we developed a creative personality test and an intrinsic motivation test, and conducted tests before and after the training. We compared pre-post test results by t-test with R program. The creative personality test consisted of 36 items with 6 factors: risk-taking, self - acceptance, curiosity, humor, dominance, and autonomy. The intrinsic motivation test consisted of 20 items with 5 items: curiosity and interest oriented tendency, challenging learning task preference orientation, independent judgment dependency propensity, independent mastery propensity, and internal criterion propensity. The effect of the curriculum on the creative personality of the experimental group was significant (0.009, 0.05). The significance level of the intrinsic motivation was 0.056 and was not significant at the 0.05 level of significance.

• Journal of Korean Library and Information Science Society
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• v.19
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• pp.145-209
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• 1992

This study, that is made by an on-the-spot survey and a library survey, is aimed at finding some problems in the recognition regarding public library users and suggesting the clue to solve the problems revealed in the way of having compared with 'Book-Room' and Public Library. Poor material was always a troublemaker in this study. Especially the part of 'Book-Room' phenomenon is wholly dependent upon a field survey, that is, interview with a 'book-room' clerks, gathering the advertising leaflets, a close observation on 'Book-Room', etc. There are little printed materials, much less precedent research theses. In the other parts of this paper, there are needed good statistical materials, but the nortion presented in the public library user statistics-for example pupil, students, housewives, old men, the generality of people, etc.- is so vague that it is insufficient and unhelpful for this study. In my judgment, with all these limitations, this article gets some results as follows : 1. 'Book-Room' is the cultural organization which is being operated by, for, of the community inhabitants and it takes on the character of movement - labor movement, cultural movement, and community movement. 2. The pioneer of the Book-Room is 'Yangso Hyupdong chohap' (which means good book- cooperative association) lasted from 1978 to the next year. 3. 'Arom'(means learning) Book-Room is the first real Book-Room at Seomyon district in Pusan established in 1987. 4. Book-Room can be classified by its character as 'Labor BookRoom' and 'Cultural Book-Room'. There are 10 Labor BookRooms and 4 Cultural Book-Rooms in Pusan. 5. Labor Book-Rooms organized themselves to 'Labor Book-Room conference'. 6. Book-Rooms have done their best to extort the needs and interests of the community inhabitants, but relatively public libraries do not, hence the majority of residents are neglected from the public library service. This is at Book-Rooms' back to have been spread so quickly. 7. There is a very large gap between the component ratio of community inhabitants by class and that of public library users by same criterion, that is, in the case of the former, the labor class goes beyond a half point, in the latter, the majority of public library user is composed of students and housewives. 8. Researchers and librarians have concentrated their attention and effort not upon whole residents in community but upon existing users at present time. They do not try to develope potential users. So, researchers' and librarians' recognition regarding the public library users needs to be changed. 9. The concept of 'core-user' may be the key to solve the problems related with public library users. For the purpose of ensuring the 'core-user', it is necessary to study the community and inhabitants.