• 대한인간공학회:학술대회논문집
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• 대한인간공학회 1993년도 춘계학술대회논문집
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• pp.134-144
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• 1993

The psychophysical magnitude estimation thechnique can provide a useful tool for determining the best design features of a product in terms of user preference, especially when it is difficult or almost impossible to obtain objective and quantitative data on the user performance. In this research, several interior design features of a high speed train such as arrangement of passenger seats, and availability of interior facilities were examined quantitatively to provide interior design recommendations for the high speed train. A train simulator was built to provide a realistic interior enviror enviroment of the high speed train, and individual design features were manipulated by using a three-factor within-subject experimental design. At the same time, a psychophysical scale of verbal descriptors ranging from "extremly like" to "extremly dislike" was developed to explain the magnitude estimates of the design features in ordinary language.n ordinary language.

• 아시아태평양코퍼스연구
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• 제3권1호
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• pp.21-34
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• 2022

This study aims to apply corpus-based approach to analyze The Yellow Wall-Paper and Herland written by Charlotte Perkins Gilman, a women's rights activist in the late nineteenth-century America. Although both works have attracted feminists' attention to the woman question that concerned Gilman, discussion on her language features and their relation to the literary themes of these two works is still in need. In this corpus-based analysis, we argue that the main themes of different literary works can be revealed through linguistic patterns identified by number and gender features of nouns and pronouns in the contrast of two works and a balanced corpus. The linguistic features (number and gender) have been related with two themes, the 'group and individual' and the 'feminine and masculine', and are further interpreted in terms of mothering and feminine consciousness. By adopting linguistic approach, our study provides quantitative and qualitative evidence to verify the established themes and arguments of these literary texts.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제14권3호
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• pp.233-247
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• 2010

The article deals with the perceptions of Mathematics as a language of pre-service teachers of Mathematics in a College of Education in Israel. The formal language of studying in the College of Education is Hebrew. The goals of the study were to examine the perceptions of pre-service teachers on the following issues: the language components involved in learning Mathematics, the basic cognitive skills required for learning Mathematics, and the perception of Mathematics as a language (PML). Findings indicated that due to new attitudes in mathematical training, pre-service teachers of Mathematics perceived Mathematics as a language regarding all language components.

• 정보관리학회지
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• 제31권4호
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• pp.49-68
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• 2014

본 연구의 목적은 국내 학술논문 데이터베이스에서 검색한 언어 네트워크 분석 관련 53편의 국내 학술논문들을 대상으로 하는 내용분석을 통해, 언어 네트워크 분석 방법의 기초적인 체계를 파악하기 위한 것이다. 내용분석의 범주는 분석대상의 언어 텍스트 유형, 키워드 선정 방법, 동시출현관계의 파악 방법, 네트워크의 구성 방법, 네트워크 분석도구와 분석지표의 유형이다. 분석결과로 나타난 주요 특성은 다음과 같다. 첫째, 학술논문과 인터뷰 자료를 분석대상의 언어 텍스트로 많이 사용하고 있다. 둘째, 키워드는 주로 텍스트의 본문에서 추출한 단어의 출현빈도를 사용하여 선정하고 있다. 셋째, 키워드 간 관계의 파악은 거의 동시출현빈도를 사용하고 있다. 넷째, 언어 네트워크는 단수의 네트워크보다 복수의 네트워크를 구성하고 있다. 다섯째, 네트워크 분석을 위해 NetMiner, UCINET/NetDraw, NodeXL, Pajek 등을 사용하고 있다. 여섯째, 밀도, 중심성, 하위 네트워크 등 다양한 분석지표들을 사용하고 있다. 이러한 특성들은 언어 네트워크 분석 방법의 기초적인 체계를 구성하는 데 활용할 수 있을 것이다.

• 대한음성학회:학술대회논문집
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• 대한음성학회 2004년도 춘계 학술대회 발표논문집
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• pp.215-218
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• 2004

The aim of this paper is to analyze the acoustic features for disguised voice. In this paper we examined the features such as pitch range, vowel formants(F1, F2, F3, F4). So the result of the analysis is as follows. : (1) Pitch range and average of pitch value is very important cue for speaker verification. (2) F3-F2 is also important cue for speaker verification (3) /a/ is more verified than other vowels.

• 한국콘텐츠학회논문지
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• 제4권4호
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• pp.1-10
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• 2004

음성인식의 연구 대상은 낭독음성에서 대화음성으로 발전해가고 있다. 이를 위해서는 대량의 대화코퍼스가 필요하다. 그러나 아직 충분한 양의 대화코퍼스가 구축되어 있지 못하며 코퍼스의 주석 정보 또한 복잡하고 다양하게 표현하고 있어 효율적인 활용이 어렵다. 따라서 본 논문에서는 TEI를 기반으로 하여 대화 영역을 텔레뱅킹으로 설정하고 대화코퍼스를 구축하여 구축된 대화코퍼스의 주석 정보를 XML(extensible Markup Language)로 표준화할 수 있도록 DTD (Document Type Definition) 정의하고 저장 시스템을 설계하였다.

• 한국언어정보학회:학술대회논문집
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• 한국언어정보학회 2007년도 정기학술대회
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• pp.515-521
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• 2007

The text categorization is an important field for the automatic text information processing. Moreover, the authorship identification of a text can be treated as a special text categorization. This paper adopts the conceptual primitives' expression based on the Hierarchical Network of Concepts (HNC) theory, which can describe the words meaning in hierarchical symbols, in order to avoid the sparse data shortcoming that is aroused by the natural language surface features in text categorization. The KNN algorithm is used as computing classification element. Then, the experiment has been done on the Chinese text authorship identification. The experiment result gives out that the processing mode that is put forward in this paper achieves high correct rate, so it is feasible for the text authorship identification.

• International Journal of Contents
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• 제7권1호
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• pp.14-22
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• 2011

Temporal Sign Language Recognition (TSLR) from hand motion is an active area of gesture recognition research in facilitating efficient communication with deaf people. TSLR systems consist of two stages: a motion sensing step which extracts useful features from signers' motion and a classification process which classifies these features as a performed sign. This work focuses on two of the research problems, namely unknown time varying signal of sign languages in feature extraction stage and computing complexity and time consumption in classification stage due to a very large sign sequences database. In this paper, we propose a combination of Dynamic Time Warping (DTW) and application of the Single hidden Layer Feedforward Neural networks (SLFNs) trained by Extreme Learning Machine (ELM) to cope the limitations. DTW has several advantages over other approaches in that it can align the length of the time series data to a same prior size, while ELM is a useful technique for classifying these warped features. Our experiment demonstrates the efficiency of the proposed method with the recognition accuracy up to 98.67%. The proposed approach can be generalized to more detailed measurements so as to recognize hand gestures, body motion and facial expression.

• Journal of Communications and Networks
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• 제7권3호
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• pp.353-366
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• 2005

In future telecommunications systems, behaviour will be defined by inexperienced users for many different purposes, often by specifying requirements in the form of policies. The call processing language (CPL) was developed by the IETF in order to make it possible to define telephony policies in an Internet telephony environment. However, user-defined policies can hide inconsistencies or feature interactions. In this paper, a method and a tool are proposed to flag inconsistencies in a set of policies and to assist the user in correcting them. These policies can be defined by the user in a user-friendly language or derived automatically from a CPL script. The approach builds on a pre-existing logic programming tool that is able to identify inconsistencies in feature definitions. Our new tool is capable of explaining in user-oriented terminology the inconsistencies flagged, to suggest possible solutions, and to implement the chosen solution. It is sensitive to the types of features and interactions that will be created by naive users. This tool is also capable of assembling a set of individual policies specified in a user-friendly manner into a single CPL script in an appropriate priority order for execution by telecommunication systems.

• Journal of Information Processing Systems
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• 제18권5호
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• pp.650-664
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• 2022

Mobile applications can be easily downloaded and installed via markets. However, malware and malicious applications containing unwanted advertisements exist in these application markets. Therefore, smartphone users install applications with reference to the application review to avoid such malicious applications. An application review typically comprises contents for evaluation; however, a false review with a specific purpose can be included. Such false reviews are known as fake reviews, and they can be generated using artificial intelligence (AI)-based text-generating models. Recently, AI-based text-generating models have been developed rapidly and demonstrate high-quality generated texts. Herein, we analyze the features of fake reviews generated from Generative Pre-Training-2 (GPT-2), an AI-based text-generating model and create a model to detect those fake reviews. First, we collect a real human-written application review from Kaggle. Subsequently, we identify features of the fake review using natural language processing and statistical analysis. Next, we generate fake review detection models using five types of machine-learning models trained using identified features. In terms of the performances of the fake review detection models, we achieved average F1-scores of 0.738, 0.723, and 0.730 for the fake review, real review, and overall classifications, respectively.