• 컴퓨터교육학회논문지
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• 제7권5호
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• pp.57-70
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• 2004

본 연구는 선행 연구에서 도출한 CSILE에서의 협력적 지식구축에 영향을 주는 변인들간의 관련성을 규명하기 위한 후속연구이다. CSILE는 학습자들의 지식구축을 지원하는 환경으로 학습공동체의 탐구과정을 지원하기 위해 활용된다. 본 연구는 CSILE 기반의 초등학교 과학과 탐구학습을 대상으로 선행연구를 통해 밝힌 변인, '지식의 이해', '과학적 소양', '학습 의도'간의 관련성을 살폈고, 각각의 변인이 탐구력을 예측할 수 있는지 분석하였다. 실험 결과, 과학과 탐구에 대한 학술적인 의도가 지식의 이해와 과학적 소양과 관련이 있음을 알 수 있었다. 또한, 탐구력을 예측할 수 있는 변인으로서 과학적 소양의 해석력을 검증하고, CSILE 기반의 탐구학습에서 과학적 소양의 증진을 위해 고려해야 할 사항을 제시하였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2006년도 하계종합학술대회
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• pp.933-934
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• 2006

High level perceptual tasks such as context understanding, SLAM and object recognition are essential for intelligent robot to provide services for human supports. Those intelligent robots often use camera sensor for vision information, sonar or laser sensor for range information, encoder for angular velocity of wheel and so on. The information is generated at different time intervals by the different H/W devices and S/W algorithms. The generation of high level information requires the specific mixture of low level information. And the information should be represented to be useful for robots to use in their ecological niche. In conventional robot systems, perceptual module requires the resource to use by tightly coupling whenever it is needed. So the resource and information cannot be easily shared and even could be invalid for the delayed information. In this paper, we propose a synchronization system of robot-centered information for context understanding. Our system represents information for the robot capacity and synchronizes the information that is asynchronously generated, where is employed the black-board architecture.

• 대한수학교육학회지:수학교육학연구
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• 제8권2호
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• pp.651-662
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• 1998

Mathematics is means for making sense of one's experiential world and products of human activities. A usefulness of mathematics is derived from this features of mathematics. Keeping the meaning of situations during the mathematizing of situations. However, theories about the development of mathematical concepts have turned mainly to an understanding of invariants. The purpose of this study is to show the possibility of computer in representing situation and phenomena. First, we consider situated cognition theory for looking for the relation between various representation and situation in problem. The mathematical concepts or model involves situations, invariants, representations. Thus, we should involve the meaning of situations and translations among various representations in the process of mathematization. Second, we show how the process of computational mathematization can serve as window on relating situations and representations, among various representations. When using computer software such as ALGEBRA ANIMATION in mathematics classrooms, we identified two benifits First, computer software can reduce the cognitive burden for understanding the translation among various mathematical representations. Further, computer softwares is able to connect mathematical representations and concepts to directly situations or phenomena. We propose the case study for the effect of computer software on practical mathematics classrooms.

• 한국인터넷방송통신학회논문지
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• 제8권6호
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• pp.133-139
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• 2008

가상대학은 언제어디서나 컴퓨터만 소지하고 있다면 단순히 마우스나 키보드를 몇 번 클릭함으로서 강의를 쉽게 학습할 수 있다. 많은 사람들이 가상대학이 시간을 절약할 수 있고 학습을 향상시킬 수 있다고 믿고 있다. 가상대학 강좌를 선택한 학생이 얼마나 학습했는지를 점검하기 위해서 강사는 얼마나 많은 학생이 이해했으며 학생들의 어려운 문제점이 무엇인지 반드시 알아야 한다. 이러한 조건들이 점검되지 못한다면, 가상대학 강좌는 매우 어렵고 지루하게 느껴질 것이다. 본 논문에서는 이해한 학생과 이해하지 못한 학생을 가르치는 쌍방향 지능형 강의 시스템을 소개한다. 컴퓨터 모의 실험결과 쌍방향 가상 수업 시스템이 이해하지 못한 학생을 고려하지 않은 기존의 단방향 가상 수업시스템보다 훨씬 효과적인 것을 입증했다.

• 컴퓨터교육학회논문지
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• 제13권2호
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• pp.35-43
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• 2010

2005년 12월에 정보통신기술교육 운영지침의 개정안이 발표되었다. 그러나 아직도 학교 현장에서는 이와 같은 개정안의 내용에 따라 제대로 교육이 실시되지 않고 있으며, "정보 처리의 이해" 영역의 내용은 가장 미흡하게 교육되고 있다. 따라서 본 논문에서는 2006년 6월 이후에 출판된 초등학교 ICT 교과서에서 "정보 처리의 이해" 의 내용을 분석하였다. 분석한 결과 많은 교과서가 정보통신기술교육 운영지침 개정안의 내용을 제대로 반영하지 않은 것으로 나타났으며 초등학교 교과서에서 소개하는 프로그래밍 언어도 너무 다양한 것으로 나타났다. 그러므로 초등학교 정보통신기술 교과서에 대한 개정이 시급하며 검정 시스템도 개선되어야 할 것으로 파악되었다.

• Journal of information and communication convergence engineering
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• 제16권1호
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• pp.48-51
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• 2018

The traditional documents analysis was centered on words based system was implemented using a morpheme analyzer. These traditional systems can classify used words in the document but, cannot help to user's document understanding or analysis. In this problem solved, System needs extract for most valuable paragraphs what can help to user understanding documents. In this paper, we propose system extracts paragraphs of normalized XML document. User insert to system what filename when wants for analyze XML document. Then, system is search for keyword of the document. And system shows results searched keyword. When user choice and inserts keyword for user wants then, extracting for paragraph including keyword. After extracting paragraph, system operating maintenance paragraph sequence and check duplication. If exist duplication then, system deletes paragraph of duplication. And system informs result to user what counting each keyword frequency and weight to user, sorted paragraphs.

• International Journal of Computer Science & Network Security
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• 제21권3호
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• pp.153-164
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• 2021

The increasing importance of such fields as embedded systems, pervasive computing, and hybrid systems control is increasing attention to the time-dependent aspects of system modeling. In this paper, we focus on modeling conceptual time. Conceptual time is time represented in conceptual modeling, where the notion of time does not always play a major role. Time modeling in computing is far from exhibiting a unified and comprehensive framework, and is often handled in an ad hoc manner. This paper contributes to the establishment of a broader understanding of time in conceptual modeling based on a software and system engineering model denoted thinging machine (TM). TM modeling is founded on a one-category ontology called a thimac (thing/machine) that is used to elaborate the design and analysis of ontological presumptions. The issue under study is a sample of abstract modeling domains as exemplified by time. The goal is to provide better understanding of the TM model by supplementing it with a conceptualization of time aspects. The results reveal new characteristics of time and related notions such as space, events, and system behavior.

• International Journal of Computer Science & Network Security
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• 제22권1호
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• pp.189-198
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• 2022

As the number of people using the Internet increases, a new application known as the Internet of Things (IoT) has been emerged. Internet of Things makes it easier for machines and objects to exchange, compute, and coordinate information autonomously without human interference. It is a tool for attaching intelligence to a variety of contemporary objects in houses, hospitals, buildings, vehicles, and even cities. As a new emerging technology, the focus in current IoT surveys does not shed the light on deep understanding for IoT fundamentals, architectures, challenges, and solutions. For this reason, the objective of this paper is to introduce specifications for IoT definitions, characteristics, functional blocks, and different architectures as a cement for better understanding. Additionally, we present current documented IoT challenges, with the existing available solution for each challenge.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권3호
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• pp.853-873
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• 2021

In recent years, deep reinforcement learning (DRL) models are enjoying great interest as their success in a variety of challenging tasks. Deep Q-Network (DQN) is a widely used deep reinforcement learning model, which trains an intelligent agent that executes optimal actions while interacting with an environment. This model is well known for its ability to surpass skilled human players across many Atari 2600 games. Although DQN has achieved excellent performance in practice, there lacks a clear understanding of why the model works. In this paper, we present a visual analytics system for understanding deep Q-network in a non-blind matter. Based on the stored data generated from the training and testing process, four coordinated views are designed to expose the internal execution mechanism of DQN from different perspectives. We report the system performance and demonstrate its effectiveness through two case studies. By using our system, users can learn the relationship between states and Q-values, the function of convolutional layers, the strategies learned by DQN and the rationality of decisions made by the agent.

• International journal of advanced smart convergence
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• 제12권3호
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• pp.127-140
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• 2023

While tools exist for blind people to understand shapes, these are not commercially available nor affordable and often require the assistance of sighted people. Thus, we designed two low-cost grid-based tactile tools using toggle buttons (TogGrid) and cotton balls (CottonGrid). To assess the potential of these as an educational tool, we conducted a user study with 12 people with visual impairments where they were asked to understand and reproduce shapes under different conditions. Although CottonGrid is relatively cheap and easy to make, findings show that TogGrid was perceived to be better in terms of perceived easiness, task completion time, accuracy, and preference in general. Particularly, participants valued TogGrid for enabling them to identify and correct errors. Based on the findings, we provide implications for utilizing toggle buttons for designing educational instruments for learning and expressing shapes for blind people.