• Communications of Mathematical Education
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• v.36 no.1
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• pp.59-72
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• 2022

The purpose of this study is to understand the characteristics of the mathematical modeling tasks and lesson designs developed by pre-service teachers based on the inherent awareness of mathematical modeling, considering the importance of creating a task to perform mathematical modeling activity and designing a lesson. As a result, the mathematical modeling tasks developed by pre-service teachers mainly presents an appropriate amount of information using real life contexts for the purpose of learning using concepts, and it showed a tendency to develop to the level of cognitive demand that required procedures with connections to understanding, meaning, or concepts. And most of the developed modeling task-based lessons showed a tendency to design warm-up activity, model-eliciting activity, and model-exploration activity. This result is due to the lack of experience of pre-service teachers in creating mathematical modeling tasks. Therefore, it is necessary to continuously provide opportunities for pre-service teachers to learn concepts or create mathematical modeling tasks intended for exploration according to various mathematical contents, thereby actively cultivating their ability to create modeling tasks in the course of training pre-service teachers. Furthermore, it is necessary to strengthen the expertise in mathematical modeling teaching and learning by providing opportunities to actually perform the mathematical modeling-based classes designed by pre-service teachers and to experience the process of reflecting on the lessons.

• Journal of KIISE:Computer Systems and Theory
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• v.35 no.8
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• pp.394-406
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• 2008

Even though context is the most important feature in context-aware systems, the existing requirements engineering cannot support methodology for elicitation and specification of contexts. In this paper, we propose a requirements elicitation method and a requirements specification method for context-aware systems. Our requirements elicitation method is a 6-stepped, incremental, and iterative process. At the beginning steps in the process, we identify the requirements for business logic. Afterwards, we gather the requirements for context logic, model contexts, and identify subsystems. For requirements specification, we suggest a context-aware use case diagram, a context diagram for context modeling, and a context-type-use-case-dependency diagram for the traceability of use cases on the change of context types. We also introduce a case study that we apply our approaches to a real system, and a qualitative evaluation of our approaches. Our study will help stakeholders to efficiently elicit requirements for context-aware systems and to specify them clearly.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.5
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• pp.8-15
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• 2011

The goal of this paper is to describe how to construct an integrated simulation system that integrates limited perception-based mapping with spatial reasoning, path planning, and human motion style in order for a virtual soldier to effectively communicate with other virtual solders and/or human participants in a simulation. Virtual human research often ignores or simplifies perception by using a full map (with omniscient perception). In addition, previous research used a placement node where virtual environment designers save in advance the required information. However, this paper also shows that the human-like movement behavior can be achieved by the integrated ECA system with the mapping that supports a spatial understanding and does not require the omniscient perception.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.1
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• pp.58-71
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• 2019

This paper proposes architecture of a cognitive radio engine platform and the allowable frequency channel reasoning method that enables acquisition of the allowable channels for the military tactical network environment. The current military tactical wireless communication system is increasing need to secure a supplementary radio frequency to ensure that multiple wireless networks for different military wireless devices coexist, so that tactical wireless communication between the same or different systems can be operated effectively. This paper presents the allowable frequency channel reasoning method based on cognitive radio engine for realizing DSA(Dynamic Spectrum Access) as an optimal available frequency channel. To this end, a case-based allowable frequency channel reasoning method for cognitive radio devices is proposed through modeling of primary user's traffic status and calculation of channel occupancy probability. Also through the simulation of the performance analysis, changing rate of collision probability between the primary users' occupancy channel and the available channel acquisition information that can be used by the cognitive radio device was analysed.

• Journal of KIISE
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• v.43 no.3
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• pp.370-379
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• 2016

Recently personal media were produced in a variety of ways as a lot of smart devices have been spread and services using these data have been desired. Therefore, research has been actively conducted for the media analysis and recognition technology and we can recognize the meaningful object from the media. The system using the media ontology has the disadvantage that can't classify the media appearing in the video because of the use of a video title, tags, and script information. In this paper, we propose a system to automatically classify video using the objects shown in the media data. To do this, we use a description logic-based reasoning and a rule-based inference for event processing which may vary in order. Description logic-based reasoning system proposed in this paper represents the relation of the objects in the media as activity ontology. We describe how to another rule-based reasoning system defines an event according to the order of the inference activity and order based reasoning system automatically classify the appropriate event to the category. To evaluate the efficiency of the proposed approach, we conducted an experiment using the media data classified as a valid category by the analysis of the Youtube video.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.1937-1943
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• 2005

The technology of emotion recognition is a crucial factor in day of ubiquitous that it provides various intelligent services for human. This paper intends to make the system which recognizes the human emotions based on 2-dimensional model with two bio signals, GSR and HRV. Since it is too difficult to make model the human's bio system analytically, as a statistical method, Hidden Markov Model(HMM) is used, which uses the transition probability among various states and measurable observation variance. As a result of experiments for each emotion, we can get average recognition rates of 64% for first HMM results and 55% for second HMM results

• Proceedings of the Korean Society for Cognitive Science Conference
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• 2000.05a
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• pp.25-30
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• 2000

KUeyes(Korea University's eyes)는 인간의 시각 정보처리 과정을 모델로 하여 고려대학교 인공시각연구센터에서 개발된, 스테레오 컬러 영상을 실시간으로 처리할 수 있는 능동시각 시스템이다. 실시간 처리를 위하여 KUeyes는 병렬 처리가 가능하도록 개발된 영상 획득 및 영상 처리 모듈을 가지고 있으며, 다해상도 영상 변환 기법을 사용하여 입력 영상의 처리속도를 증진시키고 있다. 이 시스템은 외형적으로는 처리된 영상에 따라 반응하여 움직이는 10-자유도의 헤드 아이 시스템으로 구성되어 있다. 본 연구에서는 영상의 칼라 정보와 움직임 정보 등을 실시간으로 분석하여 지능적이고 빠르게 개체를 탐지하고 추적하는 인간의 시각 반응 및 인식 모델을 KUeyes에 탑재하여 구현하고 실험하였다. 실험에서 얻어진 결과는 KUeyes가 인간의 시각, 인식시스템을 적절히 모델링하고 있음을 보여 주었다. 이는 KUeyes의 작동 방식과 거기에 탑재된 영상 처리 기법들이 인간의 시각 정보처리 과정을 이해하는데 매우 적합한 것임을 시사한다.

• Proceedings of the Acoustical Society of Korea Conference
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• spring
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• pp.191-194
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• 2002

최근 음성 부호화기의 연구방향은 저전송률, 저복잡도와 더불어 가변전송률 음성부호화기에 대한 연구로 진행되고 있다. 지금까지 제안된 저전송률 음성부호화기로는 스펙트럼 모델링을 이용한 MBE 계열과 혼성부호화 방식의 CELP 계열이 있다. 그 중에서 가장 많은 연구가 이루어지고 있는 방식이 CELP 방식이다. 이 방식은 4.8kbps 내외의 전송율에서 양호한 음질을 얻을 수 있다. 본 논문에서는 평균자승오차값을 최소화하여 계산량을 줄이고 음질을 향상시킬 수 있는 새로운 알고리즘을 제안한다. 먼저 G.723.1 부호화기에서 인지가중필터를 거친 신호를 LSP를 이용하여 각 포만트의 위치를 검출하여 Pole점만 비교하여 Zero점의 영향을 최소화 하였고 평균자승오차값을 최소화 하여 문턱값에 가장 가까운 값을 대표 피치이득계수로 정하고 그때의 피치와 함께 부호화한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1207-1208
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• 2012

최근 건설분야에 화두가 되고 있는 건축정보모델링(BIM, Building Information Modeling)은 건설산업의 패러다임 전환을 통한 새로운 성장동력의 미래로 부각되고 있으며, 건축분야는 서울시, 용인시, LH공사 등 BIM을 활용한 공공 발주사례가 확산되는 추세다. 토목분야는 건축보다 기간이 길고 비용이 크며 이해당사자가 너무 다양해서 발생하는 정보의 양이 방대할 뿐만 아니라 활용분야를 다양화하지 못하고 이를 뒷받침해주는 제도나 지침의 부재 등으로 인해 건축분야보다 BIM도입이 늦어지고 있다. 이에 토목분야에서 활용할 수 있는 3차원 형상정보와 관련된 정보모델표준, 지침, 가이드를 개발하기 위해 BIM 적용시 가장 효과가 크고 도입의지가 강한 엔지니어링사의 BIM에 대한 인지도 분석을 통해 토목분야 BIM 도입을 위한 기초자료로 활용하고자 한다.

• Annual Conference on Human and Language Technology
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• 2020.10a
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• pp.377-382
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• 2020

cross-texting은 실수로 의도하지 않은 상대방에게 메세지를 잘못 전송하는 것을 말한다. 휴대폰 메신저 사용이 활발해짐에 따라 이 같은 실수가 빈번하게 발생하는데 메신저에서 제공하는 기능은 대체로 사후 해결책에 해당하고 사용자가 사전에 실수를 발견하기는 어렵다. 본 논문에서는 사용자가 작성한 문장의 형식적 자질를 분석하여 현재 참여중인 대화에서 작성한 문장이 cross-texting인지를 판별하는 모델을 제안했다. 문장에서 높임법, 표층적 완성도 자질을 추출하고 이를 통해 특정 사용자의 대화를 모델링하여 주어진 문장이 대화에 부합하는지 여부를 판단한다. 이같은 방식은 채팅방의 이전 기록만으로도 사용자가 작성한 문장이 cross-texting인지 여부를 쉽게 판단할 수 있는 힌트를 제공할 수 있다. 실제 메신저 대화 말뭉치를 이용해 제작한 데이터에서 94% 정확도로 cross-texting을 탐지했다.