• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.237-245
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• 2001

Automated essay grading has been proposed for over thirty years. Only recently have practical implementations been constructed and tested. This paper investigated the role of the nearest-neighbour algorithm within the information retrieval as a way of grading the essay automatically called Automated Essay Grading System. It intended to offer teachers an individualized assistance in grading the student\`s essay. The system involved several processes, which are the indexing, the structuring of the model answer and the grade processing. The indexing process comprised the document indexing and query processing which are mainly used for representing the documents and the query. Structuring the model answer is actually preparing the marking scheme and the grade processing is the process of assessing the essay. To test the effectiveness of the developed algorithms, the algorithms are tested against the History text in Malay. The result showed that th information retrieval and the nearest-neighbour algorithm are practical combination that offer acceptable performance for grading the essay.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.11c
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• pp.1677-1680
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• 2003

RUP(Rational Unified Process)의 Unified Process Model 에는 Use Case Model, Analysis Model, Design Model, Deployrnent Model, Implementation model, Test Model의 6가지 모델이 있다. 이 모델들은 다음단계의 모델에 대한 일관성 및 의존성을 가진다. 한 모델에서 발생되는 요소들은 전, 후 단계에서 다른 모델들과 Trace Dependencies 를 갖는다. 이러한 의존적인 관계들은 각각의 요소들 사이의 진행, 기록 관계를 나타낸다. 그러나 대부분의 시스템은 이러한 관계 및 의존성 없이 설계되어져 전체적인 일관성을 이루지 못 하였다. 본 논문에서는 이러한 관계를 유지 하면서 사용자의 요구사항에 일관성 있는 Use Case 모델을 설계하고자 한다. 따라서 본 논문에서는 대학 종합정보시스템 구축의 일부분인 구매관리 시스템을 분석하여 컴포넌트 시스템 모델을 제시한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.860-861
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• 2007

The Pulse Coupling Oscillator (PCO) is a synchronicity model inspired by nature. However, the PCO model has some limitations. The Fast PCO model is proposed in this paper. It addresses the problem of the phase swing actions in the original PCO model. Benefits are the fast synchronicity speed and associated energy saving.

• Journal of Information Processing Systems
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• v.16 no.6
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• pp.1309-1323
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• 2020

Crowd evacuation simulation is an important research issue for designing reasonable building layouts and planning more effective evacuation routes. The social force model (SFM) is an important pedestrian movement model, and is widely used in crowd evacuation simulations. The model can effectively simulate crowd evacuation behaviors in a simple scene, but for a multi-obstacle scene, the model could result in some undesirable problems, such as pedestrian evacuation trajectory oscillation, pedestrian stagnation and poor evacuation routing. This paper analyzes the causes of these problems and proposes an improved SFM for complex multi-obstacle scenes. The new model adds navigation points and walking shortest route principles to the SFM. Based on the proposed model, a crowd evacuation simulation system is developed, and the crowd evacuation simulation was carried out in various scenes, including some with simple obstacles, as well as those with multi-obstacles. Experiments show that the pedestrians in the proposed model can effectively bypass obstacles and plan reasonable evacuation routes.

• Journal of Information Processing Systems
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• v.6 no.2
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• pp.185-196
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• 2010

This paper proposes a personal information protection model that allows a user to regulate his or her own personal information and privacy protection policies to receive services provided by a service provider without having to reveal personal information in a way that the user is opposed to. When the user needs to receive a service that requires personal information, the user will only reveal personal information that they find acceptable and for uses that they agree with. Users receive desired services from the service provider only when there is agreement between the user's and the service provider's security policies. Moreover, the proposed model utilizes a mobile agent that is transmitted from the user's personal space, providing the user with complete control over their privacy protection. In addition, the mobile agent is itself a self-destructing program that eliminates the possibility of personal information being leaked. The mobile agent described in this paper allows users to truly control access to their personal information.

• Journal of Information Processing Systems
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• v.18 no.4
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• pp.535-548
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• 2022

Using a rich resource language to classify sentiments in a language with few resources is a popular subject of research in natural language processing. Burmese is a low-resource language. In light of the scarcity of labeled training data for sentiment classification in Burmese, in this study, we propose a method of transfer learning for sentiment analysis of a language that uses the feature transfer technique on sentiments in English. This method generates a cross-language word-embedding representation of Burmese vocabulary to map Burmese text to the semantic space of English text. A model to classify sentiments in English is then pre-trained using a convolutional neural network and an attention mechanism, where the network shares the model for sentiment analysis of English. The parameters of the network layer are used to learn the cross-language features of the sentiments, which are then transferred to the model to classify sentiments in Burmese. Finally, the model was tuned using the labeled Burmese data. The results of the experiments show that the proposed method can significantly improve the classification of sentiments in Burmese compared to a model trained using only a Burmese corpus.

• Korea Information Processing Society Review
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• v.23 no.5
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• pp.30-35
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• 2016

• Journal of Information Processing Systems
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• v.14 no.1
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• pp.218-227
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• 2018

Vocal effort detection is important for both robust speech recognition and speaker recognition. In this paper, the spectral information entropy feature which contains more salient information regarding the vocal effort level is firstly proposed. Then, the model fusion method based on complementary model is presented to recognize vocal effort level. Experiments are conducted on isolated words test set, and the results show the spectral information entropy has the best performance among the three kinds of features. Meanwhile, the recognition accuracy of all vocal effort levels reaches 81.6%. Thus, potential of the proposed method is demonstrated.

• Language and Information
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• v.20 no.1
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• pp.25-49
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• 2016

Honorific forms express the speaker's social attitude to others and also indicate the social ranks and level of intimacy of the participants in the discourse. In a cross-linguistic perspective of grammar engineering, modelling honorification has been regarded as a key strategy for improving language processing applications. Using the HPSG and MRS formalism, this article provides a multilingual grammar model of honorification. The present study incorporates the honorific information into the Meaning Representation System (MRS) via Individual Constraints (ICONS), and then conducts an evaluation to see if the model contributes to semantics-based language processing.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.10b
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• pp.1365-1368
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• 2000

분산 이기종 환경에서 다양한 어플리케이션을 통합할 수 있는 코바의 기존 객체 모델의 단점을 극복하고 이를 확장하기 위한 CCM(CORBA Component Model) 구조의 장점 및 주요 특징과 서비스를 정의한다. 이를 위해 클라이언트와 컴포넌트 개발자의 관점에서 컴포넌트의 형성과정과 생성된 컴포넌트의 종류, 컴포넌트의 실행을 활성화하는 컨테이너의 구조를 살펴보고 CCM명세서가 CCM 프레임워크의 실행을 단순화시키기 위한 ORB확장방안에 대해서 알아본다.