• The Journal of the Korea Contents Association
• /
• v.20 no.11
• /
• pp.624-635
• /
• 2020

This study focuses on the right to self-determination, which has a higher possibility of infringement on rights, for people with developmental disabilities, who are more vulnerable to rights protection than other types of disabilities, and seeks to obtain implications of the basis for academic discussion and practical strategies. To this end, data were collected through a structured survey on 302 social workers in Seoul, Gyeonggi, and Gangwon area to identify the importance and execution degree of self-determination components of the developmental disabled, and descriptive analysis, differences. analysis, matrix analysis was applied. As a result of the analysis, the importance and performance degree were evaluated at an absolute level lower than the positive level, and the overall average standard execution degree was found to be applied relatively later, and the difference between the two levels was statistically significant. Meanwhile, goal setting and achievement, self-management and regulation, branch recognition and perception, etc. were identified as under-action elements as disparity between importance and performance. Therefore, in order to improve the balanced positivity of social workers and people with developmental disabilities in consideration of the reciprocity of human rights protection, applied behavior analysis, positive behavior support, and individualized service plan based on the application of a person-centered program and self-determination improvement program are applied. Suggestions were made on detailed strategies such as accounting.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2012.01a
• /
• pp.119-122
• /
• 2012

정보화시대에 요구하는 인재는 문제를 인식하고 이런 문제를 풀기 위해 다양한 전문가들과 함께 창의적인 사고를 통해 해결책을 제시하는 인물이다. 정보영재교육의 목표 역시 창의적 인재를 기르는 데 있으나, 프로그래밍과 알고리즘 교육은 특정 프로그래밍 언어의 사용법이나 문법 위주의 교육, 정렬 및 탐색과 같은 알고리즘 그 자체에 치중함으로서 이러한 목표에 도달하고 있지 못하다는 지적이 많다. 이에 본 논문에서는 창의적인 알고리즘을 설계하고 개발하는데 필요한 사고력, 즉 사고 과정에 대해 안내하고 생각하는 알고리즘적 사고력을 기르기 위한 방안으로 실생활 주제의 이야기 쓰기를 활용하는 교수 학습 프로그램을 제안하였다. 반성적 사고와 창의성을 기르는 데 효과적인 것으로 알려진 이야기 쓰기 활동에서 출발하여 사건 요소 추출과 시간적 질서 분석하기, 순서도로 알고리즘 표현하기, 동료 학습자와 토의하기 등의 과정을 통해 알고리즘적 사고력을 향상시킬 수 있도록 하였다.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.15 no.4
• /
• pp.406-411
• /
• 2005

In this paper, we present the area-based Q-learning to search a target object using multiple robot. To search the target in Markovian space, the robots should recognize their surrounding at where they are located and generate some rules to act upon by themselves. Under area-based Q-learning, a robot, first of all, obtains 6-distances from itself to environment by infrared sensor which are hexagonally allocated around itself. Second, it calculates 6-areas with those distances then take an action, i.e., turn and move toward where the widest space will be guaranteed. After the action is taken, the value of Q will be updated by relative formula at the state. We set up an experimental environment with five small mobile robots, obstacles, and a target object, and tried to search for a target object while navigating in a unknown hallway where some obstacles were placed. In the end of this paper, we presents the results of three algorithms - a random search, area-based action making (ABAM), and hexagonal area-based Q-teaming.

• Journal of the Korean earth science society
• /
• v.31 no.7
• /
• pp.798-812
• /
• 2010

The purpose of this study was to investigate beginning teachers' views of scientific inquiry envisioned in science education reform, which is the main goal of science education at schools. Teachers' views about scientific inquiry influence their students' learning in the classroom, so it is significant to investigate teachers' views about the scientific inquiry. 126 beginning science teachers participated in this study. The survey asking teachers' view of general scientific inquiry, nature of science (NOS) and the relationship of science, technology, and society (STS), was developed and implemented for 30 minutes. Alternative views of scientific inquiry including NOS and STS were emerged through data analysis with open coding system. The reliability and validity of data collection and data analysis were constructed through the discussion with experts in science education. The results of this study were as follows. Participants defined scientific inquiry as opportunities of 'Hands-On' and 'Minds-On' or its combination rather than 'Hearts-On'. However, teachers demonstrated the view of 'Hands-On' for the purpose of scientific inquiry and for teachers' roles in its implementation. The view of 'Hearts-On' about scientific inquiry was not identified. The naive view of NOS were identified more than informative one. More positive attitude about the relationship of STS was released. The implication was made in teacher education, especially structured induction program for beginning teachers.

• Journal of Broadcast Engineering
• /
• v.24 no.1
• /
• pp.58-66
• /
• 2019

Recognition of named entity such as proper nouns in conversation sentences is the most fundamental and important field of study for efficient conversational information prediction. The most important part of a task-oriented dialogue system is to recognize what attributes an object in a conversation has. The named entity recognition model carries out recognition of the named entity through the preprocessing, word embedding, and prediction steps for the dialogue sentence. This study aims at using user - defined dictionary in preprocessing stage and finding optimal parameters at word embedding stage for efficient dialogue information prediction. In order to test the designed object name recognition model, we selected the field of daily chemical products and constructed the named entity recognition model that can be applied in the task-oriented dialogue system in the related domain.

• The Journal of the Korea Contents Association
• /
• v.17 no.5
• /
• pp.602-612
• /
• 2017

The purpose of this study was to identify employees' perception of social and economic values that social enterprises pursue and to provide implications for the training of social enterprise workers. The main results are as follows. First, more than half of the social enterprise workers recognized that economic value and social value were equally important. In addition, the responsibilities of realizing corporate social values were somewhat higher than those of employees. The social value of the social enterprise should be pursued in preference to the value for the company and its members. However, efforts to set goals for the social value of social enterprises were lacking. Second, social enterprise workers generally had a high perception of economic value and recognized that the responsibility and effort of management was more important than the employees in order to realize economic value. Third, the higher the age of workers, the higher the importance of social value than economic value, emphasized the responsibility of the manager, and the less the work experience, the more important is the social value and the manager's responsibility. While commercial enterprise workers are highly aware of the importance of economic value, non-profit enterprise workers are highly aware of the importance of social value. In the future, it will be necessary to provide an educational support program that allows workers to recognize the social and economic value of social enterprises in a balanced manner. Efforts are needed to develop, monitor and monitor standardized measures for measuring the value of social enterprises.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.18 no.5
• /
• pp.971-980
• /
• 2023

Safety accidents and industrial accidents are constantly occurring in existing industrial sites. In addition, the probability of accidents occurring due to physical and mental fatigue of workers is increasing. Accordingly, it is required to introduce systematic management and various systems for the safety of workers. In this paper, by developing an access control system using bio-metric information at industrial sites, we develop efficient health management and access control management functions for workers. Workers are identified through face recognition for access control, and health status is determined through iris recognition. It aims to improve accuracy and develop a more efficient management system by diagnosing signs of health abnormalities through the congestion of the iris and eyes of workers. Finally, the contents of the development consist of an on-site access control system, an access control program for administrators, and a main server system that diagnoses signs of abnormal health of users.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.17 no.1
• /
• pp.111-118
• /
• 2022

In computer vision research, the two-dimensional human pose is a very extensive research direction, especially in pose tracking and behavior recognition, which has very important research significance. The acquisition of human pose targets, which is essentially the study of how to accurately identify human targets from pictures, is of great research significance and has been a hot research topic of great interest in recent years. Human pose recognition is used in artificial intelligence on the one hand and in daily life on the other. The excellent effect of pose recognition is mainly determined by the success rate and the accuracy of the recognition process, so it reflects the importance of human pose recognition in terms of recognition rate. In this human body gesture recognition, the human body is divided into 17 key points for labeling. Not only that but also the key points are segmented to ensure the accuracy of the labeling information. In the recognition design, use the comprehensive data set MS COCO for deep learning to design a neural network model to train a large number of samples, from simple step-by-step to efficient training, so that a good accuracy rate can be obtained.

• Journal of Educational Research in Mathematics
• /
• v.27 no.1
• /
• pp.51-67
• /
• 2017

Analogical reasoning is a mathematically useful way of thinking. By analogy reasoning, students can improve problem solving, inductive reasoning, heuristic methods and creativity. The purpose of this study is to analyze the analogical reasoning of preservice mathematics teachers while constructing quadratic curves defined by eccentricity. To do this, we produced tasks and 28 preservice mathematics teachers solved. The result findings are as follows. First, students could not solve a target problem because of the absence of the mathematical knowledge of the base problem. Second, although student could solve a base problem, students could not solve a target problem because of the absence of the mathematical knowledge of the target problem which corresponded the mathematical knowledge of the base problem. Third, the various solutions of the base problem helped the students solve the target problem. Fourth, students used an algebraic method to construct a quadratic curve. Fifth, the analysis method and potential similarity helped the students solve the target problem.

• Proceedings of the Korean Information Science Society Conference
• /
• 2012.06d
• /
• pp.459-461
• /
• 2012

본 논문에서는 식물재배기에 유입되는 조도 정보를 자동 센싱하여 대상 식물의 생육에 적합한 목표조도와 비교과정을 거쳐 LED의 밝기를 지능적으로 제어하기 위한 상황인식기반의 식물재배용 LED 제어 시스템을 구현하고자 한다. 먼저 식물 생육 환경 모니터링을 위해 조도, 온도, 습도, CO2 등의 이기종 센서들을 ZigBee 기반의 통합센서 형태로 설계 및 제작하고, GUI기반의 모니터링 시스템을 구현하여 실시간으로 식물 생육 환경 정보를 수집한다. 데이터베이스에 저장되어 있는 재배대상식물의 표본데이터 중 광보상과 광포화 정보를 기준으로 상황에 따라 변화하는 외부 조도정보와 비교하여 LED 인공광의 밝기를 시스템에 의한 자율 처리에 의해 지능적으로 제어함으로써 불필요한 조명 에너지 소비를 절감하고자 한다.