• Journal of the Korean Institute of Landscape Architecture
• /
• v.26 no.3
• /
• pp.78-78
• /
• 1998

The purpose of this research is to develop a CAD-based program for data analysis of digital elevation model(DEM) on the aspect of landscape assessment. When handling DEM data as a visual simulation of topographic landscape, it is basic interest to analyze visible area and visualize visual sensitivity distributions. In reference with landscape assessment, more intuitive and interactive visualizing tools are needed, specially in area of visual approach. For adaptability to landscape assessment, algorithmic approaches to visibility analysis and concepts for visual sensitivity calculation in this study were based on processing techniques of entity data control functions used in AutoCAD drawing database. Also, for the purpose of quantitative analysis, grid-type 3DFACE entities were adopted as mesh unit of DEM structure. Developed programs are composed of main part named VSI written in AutoLISP and two of interface modules written in dialog control language(DCL0 for user-oriented interactive usage. Definitions of camera points(view points) and target points(or observed area) are available alternatively in combined methods of representing scenic landscape, scenery, and sequential landscape. In the case of scene landscape(single camera to fixed target point), only visibility analysis in available. And total visibility, frequency of cumulative visibility, and visual sensitivity analysis are available in other cases. Visual sensitivity was thought as view angle(3 dimensional observed visual area) and the strengths were classified in user defined level referring to statistical characteristics of distribution. Visibility analysis routine of the VSI was proved to be more effective in the accuracy and time comparing with similar modules of existing AutoCAD third utility.

• Journal of KIISE:Computing Practices and Letters
• /
• v.11 no.2
• /
• pp.101-111
• /
• 2005

The present web informations are mainly described in terms of HTML, which users obtain through input devices such as mouse, keyboard, etc. Thus the existing GUI environment have not supported human's most natural information acquisition means, that is, voice. To solve the problem, several vendors are developing voice user interface. However these products are deficient in man -machine interactivity and their accommodation of existing web environment. This paper presents a VUI(Voice User Interface) supporting web browser by utilizing more and more maturing speech recognition technology and VoiceXML, a markup language derived from XML. It provides users with both interfaces, VUI as well as GUI. In addition, XML Island technology is applied to the bowser in a way that VoiceXML fragments are nested in HTML documents to accommodate the existing web environment. Also for better interactivity, dialogue scenarios for menu, bulletin, and search engine are suggested.

• The Transactions of the Korea Information Processing Society
• /
• v.3 no.3
• /
• pp.417-428
• /
• 1996

In this paper, a database interface system with natural language dialogue is designed and implemented. The system is made up of language analysis, context processing, dialogue processing and DB processing unit. The method for classifying and processing an undefined word in language analysis is proposed. It reduces the dictionary size, which gives difficulties in DB Interface. And the current DB Interfaces dealt with an input utterance independently. But the system in this paper provides a user with the interface environment in which he or she can have a continuous conversation with the system and retrieve DB information. Thus in this paper, speech acts which include user's inattentions well as propositional contents are defined, and user action hierarchical model for library DB retrieval is constructed. And the system uses the defined knowledge to recognize-user's plan, effectively understanding and managing the ongoing dialogue. And the system is implemented in the domain of library database in order to prove the proposed methods in this paper.

• Cross-Cultural Studies
• /
• v.29
• /
• pp.391-411
• /
• 2012

Request expressions can be defined as expressions that demand or ask the other person to do certain movements. There are direct request expressions that ask the other person to do certain movements directly and indirect request expressions that ask the other person to do certain movements by describing the speaker's condition. The study analyzed gender and hierarchy of speakers and listeners who used 'tekure' and 'tekudasai' in dialog examples of the Meiji Period and the Taisho Period. In those periods, the modern Tokyo dialect was formed and established. "Toseishoseikatagi"in Meiji 10s,"Ukigumo""Natsukodachi""Tajotakon"in Meiji 20s,"Hakai""Botchan"in Meiji 30s,"Huton""Inakakyoshi" in Meiji 40s and "Aruonna"in the Taisho Period were analyzed for the study. 'kure' was used more by male speakers than female speakers. Examples by female speakers were shown on the novels after Meji 30s. In case of male speakers, they often used it to listeners with an equitable relationship at "Toseishoseikatagi"in Meiji 10s but they often used it to younger listeners at "Hakai"in Meiji 30s. 'okure' was used more by female speakers than male speakers. Listeners were varied from older ones to younger ones. In case of female speakers, 'okure' was used more often at "Aruonna"in the Taisho Period than the other novels. In case of male speakers, 'okure' was used only at "Ukigumo""Natsukodachi"and "Hakai". 'Okurenasai' was used outstandingly by female speakers on the form of 'okun_'. In case of 'kudasai', female speakers used it more than male speakers at "Toseishoseikatagi" and "Aruonna"but male speakers used it more than female speakers at "Tajotakon"and "Hakai". Listeners were varied from older ones to younger ones. 'o~kudasai' was not shown until Meiji 20s but shown after Meiji 30s among the analyzed novels. According to gender, it was used a little bit more often by female speakers than male speakers. According to hierarchy, listeners were usually older than speakers. 'o~nasatekudasai' was used more often by male speakers than female speakers. Listeners were also usually older than speakers.

• Journal of Korean Philosophical Society
• /
• v.142
• /
• pp.165-192
• /
• 2017

The purpose of this thesis is to explain the difference between Heidegger's hermeneutical philosophy and Gadamer's philosophical hermeneutics. The difference is to say that Heidegger's philosophy begins with Aristotle's theory of category and transcendental philosophy. On the other hand, the beginning of Gadamer's philosophical research is Plato's dialog, philosophy and Hegels dialectic. 2. Heidegger regards humanism as a variant of the modern ideal of human beings. On the contrary, Gadamer understands humanism as a place where romantism leads to the ideals of human education. 3. Heidegger says that the hermeneutical circle is still a logical and existential structure of the circle. On the contrary, Gadamer understands the circle as a circle between the whole and the part. This circle is the law of traditional hermeneutics derived from the tradition of rhetoric. 4. Heidegger says Plato's philosophy is the first beginning of the substance metaphysic, Hegel's philosophy the end of the subject metaphysic. On the contrary, Gadamer says the hermeneutical understanding and the hermeneutical interpretation is endless. 5. Heidegger's ontology is as Sein zum Tode a future oriented and eschatological. On the contrary, Gadamer's hermeneutic is as Sein zum Text always the way to a past, the infinite openness.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.19 no.3
• /
• pp.143-152
• /
• 2009

Successful industries that have maintained their competitiveness are characterized by well-established skills framework system. Skills framework establishes the agreed-upon, industry-identified knowledge, skills and abilities required to succeed in the workplace. Skills framework forms a solid foundation for the development of outcomes-based instruction and assessment, thus it benefits industry, students, educators and government. Each group has a major stake in the education of our students and in the efficient development of a productive workforce. Particularly in fast-changing fields like information security, relevant data that accurately reflect current and future knowledge and skills enable timely direction of resources, development and revision of industry-relevant curriculum, and efficient development of career information and job profiles. Skills framework occupies an indispensable position in any dialog concerning education or training in technical fields. In this study, we develop the skills framework for information security professionals.

• Journal of Engineering Education Research
• /
• v.25 no.3
• /
• pp.3-10
• /
• 2022

An educator may utilize various pedagogies such as hands-on practice, practicum, and project-based learning to enhance a student's competency. Among various pedagogies, project-based learning is one of the well-known pedagogies that may provide similar on-the-job experience. In general, an educator may divide the students into small groups and assign tasks to check students' cooperation skills and achievements during project-based learning. However, an educator may experience difficulties operating project-based learning due to the COVID-19 pandemic. Most of the team activities are done in non-face-to-face meetings, and as a consequence, the educator may not find an underachieving team easily and cannot intervene appropriately. This study introduces a rigorous analysis method to evaluate team activities to analyze individual students' participation and contributions. First, this study develops evaluation rubrics by conducting questionnaires to professors and students to find an appropriate weight value for the evaluation scale. Then, this research introduces an analysis environment to evaluate students automatically. The analysis environment collects dialog data from social network services and measures interactions among students in a team. After measuring interactions, the environment generates a report to visualize the team activities. We applied the proposed method and environment to the capstone design course to show the effectiveness of the method and environment. Based on the case study, the environment showed that the analysis method could easily indicate the teams' activities and check the level of participation.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.12
• /
• pp.41-49
• /
• 2022

Documents often contain relative time expressions, and it is important to define a schema of the relative time information and develop a system that extracts such information from corpus. In this study, to deal with the relative time expressions, we propose seven additional attributes of timex3: year, month, day, week, hour, minute, and second. We propose a way to represent normalized values of the relative time expressions such as before, after, and count, and also design a set of rules to extract the relative time information from texts. With a new corpus constructed using the new attributes that consists of dialog, news, and history documents, we observed that our rule-set generally achieved 70% accuracy on the 1,041 documents. Especially, with the most frequently appeared attributes such as year, day, and week, we got higher accuracies compared to other attributes. The results of this study, our proposed timex3 attributes and the rule-set, will be useful in the development of services such as question-answer systems and chatbots.

• Annual Conference on Human and Language Technology
• /
• 2021.10a
• /
• pp.457-460
• /
• 2021

대화 시스템은 인공지능과 사람이 자연어로 의사 소통을 하는 시스템으로 크게 목적 지향 대화와 일상대화 시스템으로 연구되고 있다. 목적 지향 대화 시스템의 경우 날씨 확인, 호텔 및 항공권 예약, 일정 관리 등의 사용자가 생활에 필요한 도메인들로 이루어져 있으며 각 도메인 별로 목적에 따른 시나리오들이 존재한다. 이러한 대화는 사용자에게 명확한 발화을 제공할 수 있으나 자연스러움은 떨어진다. 일상 대화의 경우 다양한 도메인이 존재하며, 시나리오가 존재하지 않기 때문에 사용자에게 자연스러운 발화를 제공할 수 있다. 또한 일상 대화의 경우 검색 기반이나 생성 기반으로 시스템이 개발되고 있다. 검색 기반의 경우 발화 쌍에 대한 데이터베이스가 필요하지만, 생성 기반의 경우 이러한 데이터베이스가 없이 모델의 Language Modeling (LM)으로 부터 생성된 발화에 의존한다. 따라서 모델의 성능에 따라 발화의 품질이 달라진다. 최근에는 사전학습 모델이 자연어처리 작업에서 높은 성능을 보이고 있으며, 일상 대화 도메인에서도 역시 높은 성능을 보이고 있다. 일상 대화에서 가장 높은 성능을 보이고 있는 사전학습 모델은 Auto Regressive 기반 생성모델이고, 한국어에서는 대표적으로 KoGPT2가 존재한다. 그러나, KoGPT2의 경우 문어체 데이터만 학습되어 있기 때문에 대화체에서는 낮은 성능을 보이고 있다. 본 논문에서는 대화체에서 높은 성능을 보이는 한국어 기반 KoDialoGPT2를 개발하였고, 기존의 KoGPT2보다 높은 성능을 보였다.

• Annual Conference on Human and Language Technology
• /
• 2020.10a
• /
• pp.227-232
• /
• 2020

본 논문은 의미역 주석(Semantic Role Labeling) 자원인 FrameNet을 준구어 말뭉치인 드라마 대본에 주석하는 과정과 주석 결과에 대해 서술한다. 본 논문에서는 프레임 - 프레임 논항 구조의 주석 범위를 한 문장에서 여러 발화로 이루어진 장면 (Scene) 단위의 대본으로 확장하여 문장 내에서 생략된 프레임 논항(Null-Instantiated Frame Elements)을 장면 단위 대본 내의 다른 발화에서 복원하였다. 본 논문은 프레임 자동 분석기를 통해 동일한 드라마의 한국어, 영어 대본에 FrameNet 주석을 한 드라마 대본을 선발된 주석자에 의해 대상 어휘 적합성 평가, 프레임 적합성 평가, 생략된 프레임 논항 복원을 실시하고, 자동 주석된 대본과 주석자 작업 후의 대본 결과를 비교한 결과와 예시를 제시한다. 주석자가 자동 주석된 대본 중 총 2,641개 주석 (한국어 1,200개, 영어 1,461개)에 대하여 대상 어휘 적합성 평가를 실시하여 한국어 190개 (15.83%), 영어 226개 (15.47%)의 부적합 대상 어휘를 삭제하였다. 프레임 적합성 평가에서는 대상 어휘에 자동 주석된 프레임의 적합성을 평가하여 한국어 622개 (61.68%), 영어 473개 (38.22%)의 어휘에 대하여 새로운 프레임을 부여하였다. 생략된 프레임 논항을 복원한 결과 작업된 평균 프레임 논항 개수가 한국어 0.780개에서 2.519개, 영어 1.290개에서 2.253개로 증가하였다.