• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 합동 추계학술대회 논문집 정보 및 제어부문
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• pp.450-452
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• 2001

In this paper, we proposed the automatic postal drop-off system based on the microprocessor board or PC. The weight of the small postal package is transmitted from the electronic scale and user-entered addresses and delivery rate are processed by the controller to calculate the fee. For 24 hour out-door operation and maintenance, non-cash payment methods such as credit card payment is used. The post stamp and receipt are printed by the thermal printer. For the electronic processing of the parcel, serial code is also printed on the stamp and receipts in bar code format. The parcel information obtained by the automatic postal drop-off system is transferred to remote central system by dial-up modem shared by the on site office. The proposed system and its control software are built for prototype model operation and the result met the design requirements. For real time processing, data reception through three serial ports is handled by interrupt routine. The proposed system is expected to be applied for commercial logistics system and pc automation system.

• IEIE Transactions on Smart Processing and Computing
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• 제5권2호
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• pp.77-84
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• 2016

In the field of natural language processing, Universal Networking Language (UNL) has been used by various researchers as an inter-lingual approach to automatic machine translation. The UNL system consists of two main components, namely, EnConverter for converting text from a source language to UNL, and DeConverter for converting from UNL to a target language. Currently, many projects are researching how to apply UNL to different languages. In this paper, we introduce the tools that are UNL's applications and discuss how to reuse them to encode a Vietnamese sentence into UNL expressions and decode UNL expressions into a Vietnamese sentence. The testing was done with about 1,000 Vietnamese sentences (a dictionary that includes 4573 entries and 3161 rules). In addition, we compare the proportion of sentences translated based on a direct method (Google Translator) and another one based on UNL.

• 한국생산제조학회지
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• 제20권5호
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• pp.666-672
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• 2011

In this paper, we describes the development of automatic inspection system for detecting the defects on photovoltaic wafer by using machine vision. Until now, The defect inspection process was manually performed by operators. So these processes caused the produce of poorly-made articles and inaccuracy results. To improve the inspection accuracy, the inspection system is not only configured, but the image processing algorithm is also developed. The inspection system includes dimensional verification and pattern matching which compares a 2-D image of an object to a pattern image the method proves to be computationally efficient and accurate for real time application and we confirmed the applicability of the proposed method though the experience in a complex environment.

• 한국정밀공학회지
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• 제11권5호
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• pp.56-65
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• 1994

We have carried out a research on automatic measurement of gage blocks below 250mm and then improved the accuracy of the system, and reduced the measurement time using image processing technique and computer interface. The accuracy of the system is (230+10330 $L^{2}$)$^{2}$ nm (L:m) with confidence level of 95%. We participated APMP gage block intercomparision-1993/1994. The 1st round intercomparision showed that the measured values of all 5 gage blocks were within 21 nm from average.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2008년도 제39회 하계학술대회
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• pp.1819-1820
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• 2008

Steel slabs are marked with slab management numbers (SMNs). To increase efficiency, automated identification of SMNs from digital images is desirable. Automatic extraction of SMNs is a prerequisite for automatic character segmentation and recognition. The images include complex background, and the position of the text region of the slabs is variable. This paper describes an pre-processing algorithm for detection of slab information using robust feature points extraction. Using SIFT(Scale Invariant Feature Transform) algorithm, we can reduce the search region for extraction of SMNs from the slab image.

• 한국정보처리학회논문지
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• 제7권4호
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• pp.1150-1159
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• 2000

This paper presents an automatic text categorization model that improves the accuracy by combining statistical and knowledge-based categorization methods. In our model we apply knowledge-based method first, and then apply statistical method on the text which are not categorized by knowledge-based method. By using this combined method, we can improve the accuracy of categorization while categorize all the texts without failure. For statistical categorization, the vector model with Inverted Category Frequency (ICF) weighting is used. For knowledge-based categorization, Phrasal Patterns and Keyword Sets are introduced to represent sentence patterns, and then pattern matching is performed. Experimental results on new articles show that the accuracy of categorization can be improved by combining the tow different categorization methods.

• 한국정보처리학회논문지
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• 제7권5호
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• pp.1482-1490
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• 2000

With the increasing availability of information in electronic form, it becomes more important and feasible to have automatic methods to retrieve relevant information in the Internet. A deficiency of traditional information retrieval systems is that search terms are often different from those indexed by the systems. Thus, users ma either retrieve wrong information or miss what they really want. In this paper, e used an automatic query expansion based expansion based on term distribution to enhance the performance of information retrieval. Also this thesis proposed the method for setting the threshold according to area distribution in order choose additional terms.

• Journal of Information Processing Systems
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• 제11권1호
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• pp.76-94
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• 2015

For different reasons, many viewers like to watch a summary of films without having to waste their time. Traditionally, video film was analyzed manually to provide a summary of it, but this costs an important amount of work time. Therefore, it has become urgent to propose a tool for the automatic video summarization job. The automatic video summarization aims at extracting all of the important moments in which viewers might be interested. All summarization criteria can differ from one video to another. This paper presents how the emotional dimensions issued from real viewers can be used as an important input for computing which part is the most interesting in the total time of a film. Our results, which are based on lab experiments that were carried out, are significant and promising.

• 한국정보처리학회논문지
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• 제1권4호
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• pp.461-468
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• 1994

본 논문은 말뭉치에 기반한 연어의 자동 추출에 관한 연구이다. 연어는 말뭉치로 부터 단어의 동시발생빈도(cooccurrence frequency)와 상호정보 (mutual informaton) 를 이용하여 추출하였다. 영어에는 5가지 종류의 연어가 정의 되어 있다. 이들은 타동 사와 목적어, 자동사와 주어, 형용사와 명사, 동사와 부사 그리고 형용사와 부사이다. 여기에 동사와 전치사의 단어쌍을 새롭게 연어로 파악하여 6가지 종류의 연어를 추출 하였다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2016년도 춘계학술발표대회
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• pp.923-925
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• 2016

일반적으로 공공기관 혹은 다수의 이용자가 사용하는 화장실은 관리 상황은 열악한 편이다. 화장실을 관리하는 곳도 있지만 상황은 그다지 다르지 않다. 그래서 사용하는 사람과 관리하는 사람 모두에게 이로운 자동 물 내림 변기가 필요하다고 생각한다. 이미 시중에 나와 있는 많은 자동 물 내림 변기들이 있다. 하지만 공공화장실에서는 가격 등의 제약조건에 의해 많이 사용되지 않고 있는 실정이다. 본 연구에서는 아두이노와 pH센서를 이용하여 기존의 자동 물내림 변기보다 간단하고 저렴한 자동 물 내림 변기를 구현하였다.