• Proceedings of the Korea Information Processing Society Conference
• /
• 2006.05a
• /
• pp.447-450
• /
• 2006

본 논문에서는 C++ 컴파일러 구현과정에서 객체지향 언어의 속성을 처리하기 위한 역번역기(detranslator)를 설계하고 구현하였다. 구현된 역번역기는 C++ 컴파일러의 선언부 처리 과정에서 심벌 테이블에 입력된 속성들을 본래의 C++ 프로그램으로 역번역 한다. 따라서 C++ 컴파일러 개발 과정에서 설계된 심벌 테이블과 심벌테이블에 입력된 정보가 올바른지 쉽게 검증할 수 있다. 심벌 테이블은 C++ 컴파일러의 어휘 분석과 구문 분석 과정에서 인식되는 명칭(identifier)에 대하여 그 속성(attribute)들을 수집하여 저장하는 자료구조로, 심벌 테이블에 저장된 속성들은 의미분석(semantic analysis) 단계에서 참조된 명칭의 사용이 타당한지 검사하는데 사용 되어 코드 생성(code generation) 단계에서 올바른 코드가 생성 되도록 한다. 본 역번역기를 구현함으로써 심벌 테이블이 올바르게 설계 되었는지 검증할 수 있으며, 컴파일 할 때 심벌 테이블에 필요한 모든 속성이 저장되어 있는지 쉽게 확인 할 수 있게 되었다. 그리고 디버그 정보도 함께 출력되어 객체지향 언어를 위한 컴파일러 개발의 정확성을 기할 수 있다.

• Annual Conference on Human and Language Technology
• /
• 2009.10a
• /
• pp.170-175
• /
• 2009

본 논문은 한국어 관용구 인식 알고리즘에 대하여 논의한다. 다음(daum) 전자 사전에는 관용구의 의미를, "두 개 이상의 단어로 이루어져 있으면서, 그 단어들의 의미만으로는 전체 의미를 알 수 없는, 특수한 의미를 나타내는 어구" 라고 설명되어 있다. 한국어 관용구의 길이는 2글자 ~ 4글자인 경우가 많으며 그 이상인 경우도 있다. 대부분의 관용구는 일반 사전에 동사와 명사를 기준으로 분류되어 있으며, 품사 표시나 구절 표시 없이 어절의 문자열 형태로만 표현되어 나타난다. 본 논문에서는 전자 사전에 품사 표시나 구절 표시 없이 어절 문자열 형태로 저장되어 있는 한국어 관용구를 입력 문장에서 인식하는 관용구 인식 알고리즘에 대하여 논의한다. 그리고 연어 인식과 명사의 의미 속성 처리에 대하여서도 논의한다.

• Journal of the Institute of Electronics Engineers of Korea TC
• /
• v.45 no.4
• /
• pp.22-30
• /
• 2008

In this paper, we deal with modulation classification method using WT capable of classifying incident digital signals without a priori information. These key features should have good properties of sensitive with modulation types and insensitive with SNR variation. The 4 key features for modulation recognition are selected using WT coefficients, which have the property of insentive to the changing of noise. The numerical simulations for classifying 8 digital modulation types using these features are peformed. The numerical simulations of the 3 types (i.e. DTC, MDC, and SVMC) of modulation classifiers are performed the investigation of classification accuracy and execution time to design the modulation classification module in software radio. The simulation result indicated that the execution time of MDC and DTC was best and MDC and SVMC showed good classification performance.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.32 no.4C
• /
• pp.425-432
• /
• 2007

In this paper, we deals with automatic modulation classification capable of classifying incident signals without a priori information. The 7 key features which have good properties of sensitive with modulation types and insensitive with SNR variation are selected. The numerical simulations for classifying 9 modulation types using the these features are performed. The numerical simulations of the 4 types of modulation classifiers are performed the investigation of classification accuracy and execution time to implement the fast modulation classifier in software radio. The simulation result indicated that the execution time of DTC was best and SVC and MDC showed good classification performance. The prototype was implemented with DTC type. With the result of field trials, we confirmed the performance in the prototype was agreed with the numerical simulation result of DTC.

• Journal of Internet Computing and Services
• /
• v.18 no.1
• /
• pp.51-55
• /
• 2017

In this paper, we designed a LBS-based smart platform for Lifelog service that can utilize the other's lifelog information. The conventional Lifelog service means that the system records the daily activities of the smart device user so the user can retrieve the early-recorded information later. The proposed Lifelog service platform uses the GPS/UFID location information and the various information extracted from the image as the lifelog data. Further, the proposed Lifelog platform using DB can provide the user with the Lifelog data recorded by the other service user. The system usually provide the other's Lifelog data within the 500m distance from the user and the range of distance can be adjustable. The proposed smart platform based on image recognition for Lifelog can acquire the image from the smart device directly and perform the various image recognition processing to produce the useful image attributes. And it can store the location information, image data, image attributes and the relevant web informations on the database that can be retrieved by the other use's request. The attributes stored and managed in the image information database consist of the followings: Object ID, the image type, the capture time and the image GPS coordinates. The image type attribute has the following values: the mountain, the sea, the street, the front of building, the inside of building and the portrait. The captured image can be classified into the above image type by the pattern matching image processing techniques and the user's direct selection as well. In case of the portrait-attribute, we can choose the multiple sub-attribute values from the shirt, pant, dress and accessory sub-attributes. Managing the Lifelog data in the database, the system can provide the user with the useful additional services like a path finding to the location of the other service user's Lifelog data and information.

• 한국HCI학회:학술대회논문집
• /
• 2007.02b
• /
• pp.582-591
• /
• 2007

지금까지 HCI분야의 많은 연구들은 사용성 (Usability)을 중요한 연구 주제로 인식하여 왔다. 그러나 연구의 범위를 사용성에 한정하는 것은 HCI 분야의 잠재성을 좁히고, 사용자 경험 (User Experience)의 개념도 좁은 범위로 한정시키게 된다. 따라서 향후 HCI 분야의 연구는 정보 기술의 사용성 측면의 뿐만 아니라, 정보 기술의 사용을 통한 다양한 사용자 경험을 구조적인 관점에서 살펴보아야 한다. 즉 사용성 중심의 연구가 아닌, 보다 전반적이고 구조적인 측면에서 사용자 경험을 살펴보는 새로운 방향의 HCI 연구가 필요할 것으로 보인다. 이와 같이 사용자 경험을 보다 전반적이고 구조적인 측정에서 이해하기 위해서는 사용자가 특정 정보 기술의 사용을 통해 추구하는 가치 (Value)와 그와 같은 가치를 실현 시킬 수 있는 정보 기술의 속성 (Attribute) 및 결과 (Consequence), 그리고 속성, 결과, 가치 간 연관 관계를 구조적인 측면에서 살펴보아야 한다. 본 연구는 사용자 가치에 대한 대표적인 이론인 Means-End Chain Theory와 속성, 결과, 가치 간 연관 관계를 파악하기 위한 정성적 연구 방법론인 Laddering 기법을 기반으로 사용자 경험 구조 파악 및 가치 중심적 HCI (Value-Centered HCI)를 위한 새로운 연구 방법론을 제안하고자 한다. 또한 본 연구에서는 새롭게 제안된 방법론을 통해 모바일 인터넷 서비스에 대한 사용자 경험 구조를 도출하고, 모바일 인터넷 상황에서 도출된 결과 및 본 연구에서 새롭게 제안된 방법론의 이론적이고 실용적인 의의를 제시하고자 한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2014.05a
• /
• pp.309-311
• /
• 2014

Despite increasing demands for big data application based on the analysis of scattered unstructured data, few relevant studies have been reported. Accordingly, the present study suggests a technique enabling a sentence-based semantic analysis by extracting objects from collected web information and automatically analyzing the relationships between such objects with collective intelligence and language processing technology. To be specific, collected information is stored in DBMS in a structured form, and then morpheme and feature information is analyzed. Obtained morphemes are classified into objects of interest, marginal objects and objects of non-interest. Then, with an inter-object attribute recognition technique, the relationships between objects are analyzed in terms of the degree, scope and nature of such relationships. As a result, the analysis of relevance between the information was based on certain keywords and used an inter-object relationship extraction technique that can determine positivity and negativity. Also, the present study suggested a method to design a system fit for real-time large-capacity processing and applicable to high value-added services.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.1
• /
• pp.617-623
• /
• 2024

Identifying emotions through speech poses a significant challenge due to the complex relationship between language and emotions. Our paper aims to take on this challenge by employing feature engineering to identify emotions in speech through a multimodal classification task involving both speech and text data. We evaluated two classifiers-Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM)-both integrated with a BERT-based pre-trained model. Our assessment covers various performance metrics (accuracy, F-score, precision, and recall) across different experimental setups). The findings highlight the impressive proficiency of two models in accurately discerning emotions from both text and speech data.

• Journal of the Korean School Mathematics Society
• /
• v.16 no.2
• /
• pp.383-407
• /
• 2013

As an alternative of making students active and independent under the passive learning conditions in school math classes, many researchers have paid much attention to problem posing and done a lot of research on it. Above all, Brown and Walter proposed What I f Not strategy as a means of problem posing. In this strategy, during the process of posing problems, the transformation of their attributes is inevitably made, and so after problem posing, the process is finished by explaining the problem. But only the simple transformation of attributes could pose wrong problems. It suggests that it is very important to recognize the relationship which leads to organic connection between attributes in order to pose the right problem. However, many other studies of problem posing haven't focused on this fact. Thus, this study tried to design a model of problem posing to help recognize inherent knowledge in the problem and then pose the right problem by adding an activity of meaning analysis. We concretely showed a model of problem posing emphasizing the analysis of meaning by means of an example, thereby examining the meaning of the model. This study expects students to have the chance to understand the true meaning of problem posing and to be active learners after all.

• Journal of the Korean Geographical Society
• /
• v.50 no.1
• /
• pp.105-122
• /
• 2015

Military geography has been recognized a part of applied geography appeared in 1960s by the viewpoint applying geographical science technology and knowledge for war. But the contribution for war accompanying violence caused negative recognition in moral viewpoint and led stagnation of military geography's study. Therefore this paper has researched a method improving the role of military geography as a part of applied geography and considered the essential meaning of the military geography's role in the relationship between war and military sciences. Based on this consideration, this paper proposed a research direction necessary for the role contributing human development beyond the viewpoint focusing contribution for war. The result of this study confirmed the characters of the military geography's elements have two attributes contributing for war victory or improving human life quality. Military geography has laid emphasis for usability to war contribution until now and caused unsatisfactoriness of morality. But military geography can complement this unsatisfactoriness by the extension of the role contributing human life quality. This study could examine the possibility doing the role contributing for both war and peace as a intact science.