• Korean Journal of Social Welfare
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• v.61 no.4
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• pp.5-33
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• 2009

This study attempted to evaluate the effectiveness of the Supportive Project for the Priority Region of Educational Welfare Investment(SPPREWI) which has been put into action in Korea as a part of national policies for poor school children. In so doing this study aimed to test SPPREWI's legitimacy as well as whether we have to continue this program or not. In order to fulfill this research purpose researchers identified several outcome indicators of SPPREWI, which represent psychosocial and cognitive adjustment. The variables pertaining to psychosocial adjustment domain are: self-concept; depression, anxiety, and suicidal impulse; inclination of assault and indignation; delinquency; school life adjustment; and change in social relations. The variables of cognitive adjustment include recognition of self-control in learning; control strategy of learning behavior; and preparedness for job hunting. In this study the quasi-experimental group contained students from schools which are under the SPPREWI. The control group was composed of students from schools which were free from SPPREWI but under the influence of deteriorating school environment. The quasi-experimental group and the control group were compared in terms of outcome indicators presented earlier. Within the quasi-experimental group both the students below poverty-line and the students above poverty-line were divided into two groups each by the level of service use, and were compared in terms of the outcome variables presented earlier. Study results supported the argument that SPPREWI was effective generally in improving students' school adjustment. Study results also showed that the variable of 'school nurturance' played a significant role in moderating the effect of SPPREWI on a couple of outcome variables specially when schools' overall educational environment was in poor condition. Implication as well as suggestion were presented on the basis of study findings.

• The KIPS Transactions:PartA
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• v.8A no.4
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• pp.517-522
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• 2001

The appearance of web technology has accelerated a role of the development of the multimedia technology, the computer communication technology and the multimedia application contents. And serveral researches of WBI (Web-based Instruction) system have combined the technology of the digital library and LOD. Recently WBI (Web-based Instruction) model which is based on web has been proposed in the part of the new activity model of teaching-learning. And the demand of the customized coursewares which is required from the learners is increased, the needs of the efficient and automated education agents in the web-based instruction are recognized. But many education systems that had been studied recently did not service fluently the courses which learners had been wanting and could not provide the way for the learners to study the learning weakness which is observed in the continuous feedback of the course. In this paper we propose "Design of Multi-agent System for Course Scheduling of Learner-oriented using Weakness Analysis Algorithm". First proposed system monitors learner's behaviors constantly, evaluates them, and calculates his accomplishment. From this accomplishment the multi-agent schedules the suitable course for the learner. And the learner achieves a active and complete learning from the repeated and suitable course.le course.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.161-168
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• 2019

Recently, video equipments such as CCTV, which is spreading rapidly, is being used as a means to monitor and cope with abnormal situations in almost governments, companies, and households. However, in most cases, since recognizing the abnormal situation is carried out by the monitoring person, the immediate response is difficult and is used only for post-analysis. In this paper, we present the results of the development of video surveillance system that automatically recognizing the abnormal situations and sending such events to the smartphone immediately using the latest deep learning technology. The proposed system extracts skeletons from the human objects in real time using Openpose library and then recognizes the human behaviors automatically using deep learning technology. To this end, we reconstruct Openpose library, which developed in the Caffe framework, on Darknet framework to improve real-time processing. We also verified the performance improvement through experiments. The system to be introduced in this paper has accurate and fast behavioral recognition performance and scalability, so it is expected that it can be used for video surveillance systems for various applications.

• The Journal of the Korea Contents Association
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• v.21 no.1
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• pp.531-540
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• 2021

As cyber attacks and crimes increase exponentially and hacking attacks become more intelligent and advanced, hacking attack methods and routes are evolving unpredictably and in real time. In order to reinforce the enemy's responsiveness, this study aims to propose a method for developing an artificial intelligence-based security control platform by building a next-generation security system using artificial intelligence to respond by self-learning, monitoring abnormal signs and blocking attacks.The artificial intelligence-based security control platform should be developed as the basis for data collection, data analysis, next-generation security system operation, and security system management. Big data base and control system, data collection step through external threat information, data analysis step of pre-processing and formalizing the collected data to perform positive/false detection and abnormal behavior analysis through deep learning-based algorithm, and analyzed data Through the operation of a security system of prevention, control, response, analysis, and organic circulation structure, the next generation security system to increase the scope and speed of handling new threats and to reinforce the identification of normal and abnormal behaviors, and management of the security threat response system, Harmful IP management, detection policy management, security business legal system management. Through this, we are trying to find a way to comprehensively analyze vast amounts of data and to respond preemptively in a short time.

• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.263-278
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• 2022

With the recent advent of IoT technology, automatic pet feeders are being distributed so that owners can feed their companion animals while they are out. However, due to behaviors of pets, the method of measuring weight, which is important in automatic feeding, can be easily damaged and broken when using the scale. The 3D camera method has disadvantages due to its cost, and the 2D camera method has relatively poor accuracy when compared to 3D camera method. Hence, the purpose of this study is to propose a deep learning approach that can accurately estimate weight while simply using a 2D camera. For this, various convolutional neural networks were used, and among them, the ResNet101-based model showed the best performance: an average absolute error of 3.06 grams and an average absolute ratio error of 3.40%, which could be used commercially in terms of technical and financial viability. The result of this study can be useful for the practitioners to predict the weight of a standardized object such as feed only through an easy 2D image.

• Journal of the Korean Institute of Landscape Architecture
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• v.51 no.5
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• pp.44-56
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• 2023

This research explores the enhancement of park operation and management by analyzing the changing demands of park users. While traditional methods depended on surveys, there has been a recent shift towards utilizing social media data to understand park usage trends. Notably, most research has focused on text data from social media, overlooking the valuable insights from image data. Addressing this gap, our study introduces a novel method of assessing park usage using social media image data and then applies it to actual city park evaluations. A unique image analysis tool, built on Visual Question Answering (VQA) deep learning technology, was developed. This tool revealed specific city park details such as user demographics, behaviors, and locations. Our findings highlight three main points: (1) The VQA-based image analysis tool's validity was proven by matching its results with traditional text analysis outcomes. (2) VQA deep learning technology offers insights like gender, age, and usage time, which aren't accessible from text analysis alone. (3) Using VQA, we derived operational and management strategies for city parks. In conclusion, our VQA-based method offers significant methodological advancements for future park usage studies.

• Journal of The Korean Association For Science Education
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• v.35 no.2
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• pp.247-258
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• 2015

Students are engaged in classroom learning, and classroom learning occurs not only through conversation but also through nonverbal behavior. In science classrooms especially, there are meaningful nonverbal behaviors such as practical activities like observation and measurement. But these behaviors have not been properly investigated by existing instruments that try to measure students' engagement. This study aims to develop a new instrument for analyzing students' behavioral engagement especially in science classrooms. The method of developing the instrument was structured along three steps. First, student behaviors have been classified into fourteen categories through literature review and a series of observation of elementary science classroom. Second, based on these, a framework for analyzing student behavioral engagement has been developed. With the framework, every student moment could be labeled as Participatory Speech or Participatory Silence or Non-Participatory Speech or Non-Participatory Silence. Third, an instrument to which the framework is applied has been developed by using Microsoft Excel. As a trial, two fourth-grade students in elementary science class were analyzed with this instrument. The results of the trial analysis shows that the longest period of a science lesson was occupied by Participatory Silence (63% and 72%). Among the participatory silence, 'listening' was the most common (51% and 42% of the trial lesson) and 'observing' which is a specific behavior to science was the fourth position (17% and 17% of the trial lesson). It is expected that the developed instrument could be used in improving our understanding of the patterns of student engagement in science classrooms.

• (The)Study of the Eastern Classic
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• no.32
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• pp.103-128
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• 2008

King Jeongjo had lost his father, Sado-Seja(Prince Sado) by Noron(Older Faction). Especially those who tried to kill Sado-Seja and king Jeongjo consisted of king's family-in-law of king Youngjo and Sado-Seja. Therefore king Jeongjo's first goal was to strengthen his kingship than other things because he could gain the throne overcoming the strong hinderance of Noron and king's family-in-law. King Jeongjo requested his subjects to be "Kukbyon-In"(國邊人: a person for king) pointing out the harm of the king's family-in-law and "Tangpyong-Dang"(蕩平黨: the strongest faction consisted under the rule of king Youngjo). For the purpose, king Jeongjo built up "Gyujang-Gak". Gyujang-Gak was spoken to contain and protect the writings of earlier kings superficially, but in reality, it was an apparatus to gain and train the friendly subjects for king Jeongjo. Like that, it was the most important for king Jeongjo to suppress the king's family-in-low and to win Neo-Confucian lterati over to himself's side. Until now, the politics of Joseon Dynasty had been mainly explained on the point of view of "Seonghak-Non"(聖學論). "Seonghak-Non" means that Neo-Confucian lterati were treated as real hero, not kings in the political space of Joseon Dynasty and the role of factions were recognized important. But king Jeongjo denied these ideological stream and tried to change that political system. King Jeongjo wanted to strengthen the throne through the method which insisted the king as a hero in politics. For the purpose, king Jeongjo criticized the Neo-Confucian literati's viewpoint about politics and learning at that time and anticipated to be sole leader of politics and learning on that critique. King Jeongjo aimed to destroy the dignity of "Salim"(山林: Neo-Confucian Sages) with attacking their wrong behaviors. King Jeongjo also criticized the period of king Injo when the regime of "Sarim"(士林: pure Neo-Confucian lterati) faction fully appeared as the starting period when the factional harms were getting worse. King Jeongjo wanted to previously block the oppositions to win subjects over to himself's side with criticizing the period of king Injo and to take away the initiative from his opponents with insisting "Salim-Muyongnon"(山林無用論: a theory ignoring Neo-Confucian Sages). King Jeongjo's critique was not limited just on the system of factional politics. "Seonghak-Non" eventually took root in Neo-Confucianism. Therefore king Jeongjo criticized Neo-Confucianism. He insisted that the essence of Chinese Classics was pragmatical learning, not Neo-Confucianism. Through that critique, king Jeongjo aimed to destroy the ideological base of his opponents. However, king Jeongjo failed to be a sole leader of his subjects in the both boundaries of politics and learning even though he criticized the Neo-Confucian lterati's viewpoint about politics and learning. Because he abruptly died leaving his reformational scheme behind as well as his loyal subjects guarding himself against Noron Byeok-Pa(老論 ?派: the opposing party in Older Faction) were gone behind himself. The politics of Joseon Dynasty returned to more powerful politics for king's family-in-law after king Jeongjo's death.

• Journal of the Korean Chemical Society
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• v.53 no.5
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• pp.570-584
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• 2009

The purpose of this study was to find out high school students' perception on psychologicallearning environment generated by science teachers and their attitude change related to science. The subjectsconsisted of 539 freshmen in a boys' high school pre-applied of common school group in S city. This study wasconducted with students' perception survey and classification of teachers' features according to it. The surveyabout science-related attitude was also made in early 1st semester and 2nd semester, and the students showingthe great attitude change related to science were interviewed. The results of this study revealed that statistically,students had a more positive perception on female teachers than on male ones and that according to their teachers,there were clear different in the psychological learning environment perceived by students. As for the relation of teachers' features and students' attitude change, it showed the negative effect only when the teacher was incharge of only one class, but in most of the cases, there was no meaningful correlation. The semi-structuredinterview with students with great attitude change related to science indicated that the main cause of the changewas the achievement they made in class. The interview showed that the change related to science happenedunder the indirect influence of teachers rather than direct influence. Furthermore, students wanted scienceteachers to meet the science class possessing various instruction behaviors and support behaviors. Therefore,science teachers playing an important role in students' choice of career should make efforts to realize thelearner-centered curriculum and change students' science-related attitude into a positive direction.

• Journal of Nutrition and Health
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• v.48 no.1
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• pp.71-80
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• 2015

Purpose: The aim of this study was to investigate children's eating behaviors and teachers' feeding practices during mealtime at child-care centers. In addition, it focused on the difference of teachers' feeding practices on children age under 2 years ( ${\leq}2$ years old) and 3 years and older (3~5 years old). Methods: A total of 169 teachers working at childcare centers in Geumcheon-gu, Seoul, Korea, completed self-report questionnaires in December 2013. The questionnaires were composed of questions on children's eating behaviors, feeding practices; 'Explain', 'Praise', 'Modeling', 'Indulgent', 'Insist' and 'Reward', interaction with home, and a range of demographic information (analysis rate: 51.2%). Results: Approximately 59.2% of teachers had not taken a class on feeding practice and the average score for nutrition knowledge was 14.6 out of 30 points. The most undesirable eating behavior of children during mealtime was 'eating while walking around (36.7%)' both ' ${\leq}2$ years old' and '3~5 years old'. Regarding feeding practices according to children's undesirable eating behaviors during mealtime, there were differences between age groups. When children did not eat all of the foods that were served and did not clean up silverware or seats after having food, teachers caring for '3~5 years old' practiced 'Explain'. However, percentages of those who practiced 'Indulgent' and 'Modeling' were significantly higher in teachers caring for ' ${\leq}2$ years old' than '3~5 years old'. Conclusion: These findings indicated that teachers caring for children lack education and knowledge about nutrition and feeding practice. In addition, verbal feeding practices, like explain, were mainly used by teachers. As a result, for teachers, guidelines and programs for learning about age appropriate feeding practice during mealtime at child-care centers may be needed.