• Journal of Power Electronics
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• v.17 no.3
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• pp.725-732
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• 2017

This paper proposed a real-time, low-cost, fast transistor open-circuit fault diagnosis method for voltage-source inverter fed induction motors. A transistor open-circuit changes the symmetry of the inverter topology, leading to different similarities among three phase load currents. In this paper, dynamic time warping is proposed to describe the similarities among load currents. The proposed diagnosis is independent of the system model and needs no extra sensors or electrical circuits. Both simulation and experimental results show the high efficiency of the proposed fault diagnosis method.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.04a
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• pp.1139-1143
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• 2000

세계 각국의 우정사업 기관들은 우편번호에 대한 우편서비스의 질을 향상시키기 위하여 많은 노력을 기울이고 있다. 이의 일환으로 실시하고 있는 "우편번호 바코드 인쇄 제도"는 우편물을 저렴하고 신속.정확히 처리함으로써 우편 이용자들의 욕구를 충족시켜주기 위한 제도이다. 이 제도는 우편을 이용하는 우편번호가 자신의 우편물에 우편번호에 해당하는 흑백의 바코드를 인쇄해서 접수하게 되면 서비스 제공자는 인증절차를 거쳐 합격한 업체에 대해 소정의 요금을 할인해 주는 제도이다. 우리나라도 1998년부터 이 제도를 도입하여 운영 중에 있으며, 1999년도에 개국한 6개의 우편집중국에 대해서도 개국과 함께 이 제도를 시행할 예정으로 있다. 기존에는 소형통상 우편물에 대해서만 이 제도를 적용하였으나 대형통상 우편물인 플랫우편물에 대해서도 적용하도록 하고 있다. 이에 따라, 본 고에서는 우편번호 바코드 인쇄 제도가 소기의 목적을 달성할 수 있도록 플랫우편물에 대해 연구한 내용을 다루었다.

• Journal of Korea Multimedia Society
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• v.25 no.5
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• pp.695-702
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• 2022

In this paper, we propose the method of a table structure recognition in various table types for document processing automation. A table with items surrounded by ruled lines are analyzed by detecting horizontal and vertical lines for recognizing the table structure. In case of a table with items separated by spaces, the table structure are recognized by analyzing the arrangement of row items. After recognizing the table structure, the areas of the table items are input into OCR engine and the character recognition result output to a text file in a structured format such as CSV or JSON. In simulation results, the average accuracy of table item recognition is about 94%.

• Journal of the Korea Furniture Society
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• v.12 no.1
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• pp.27-37
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• 2001

Automation of wood processing is strongly required to improve the productivity and quality of wood products in wood industry which is one of the most labor-intensive industries. Classification of surface defects on wood boards such as knots is one of the important steps towards a completely automated wood processing system. In this study the possibility of detection of knots by image processing technique was investigated. Algorithm for the automatic determination of threshold value was developed to enhance the flexibility of image processing system. Two different approaches, grid method and tile method, were developed to enhance the speed in extracting features from images. Grid method showed slightly higher processing speed and tile method proved much more stable in determining threshold values. Tile size of $5{\times}5$ pixels or $6{\times}6$ pixels was found to be proper to get stable results with resonable processing time.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.1
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• pp.7-14
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• 2021

In jewelry industry, the proportion of labor costs is high. Also, the production time and quality of products are highly varied depending on the workers' capabilities. Therefore, there is a demand from the jewelry industry for automation. The ear pin insertion automation system is the robot automatically inserts the ear pins into the silicone mold, and this automated system require accurate and fast hole detection method. In this paper, we propose optimal binarization method and a template matching method that can be applied in the ear pin insertion automation system. Through the performance test, it was shown that the applied method has an accuracy of 98.5% and 0.5 seconds faster processing speed than the Otsu binarization method. So, this automation system can contribute to cost reduction, work time reduction, and productivity improvement.

• Journal of Information Processing Systems
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• v.18 no.5
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• pp.614-627
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• 2022

Aspect-based sentiment analysis is to discover the sentiment polarity towards an aspect from user-generated natural language. So far, most of the methods only use the implicit position information of the aspect in the context, instead of directly utilizing the position relationship between the aspect and the sentiment terms. In fact, neighboring words of the aspect terms should be given more attention than other words in the context. This paper studies the influence of different position embedding methods on the sentimental polarities of given aspects, and proposes a position embedding interactive attention network based on a long short-term memory network. Firstly, it uses the position information of the context simultaneously in the input layer and the attention layer. Secondly, it mines the importance of different context words for the aspect with the interactive attention mechanism. Finally, it generates a valid representation of the aspect and the context for sentiment classification. The model which has been posed was evaluated on the datasets of the Semantic Evaluation 2014. Compared with other baseline models, the accuracy of our model increases by about 2% on the restaurant dataset and 1% on the laptop dataset.

• Korean Management Science Review
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• v.10 no.2
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• pp.93-110
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• 1993

Since the manufacturing machines containing information processing capacity by development of ME technology are developed and distributed from the advanced nations, manufacturing automation with manufacturing method which keeps flexibility and productivity is supplied broadly. An introduction of manufacturing automation technology is necessary to solve difficult domestic industry environment due to international competitiveness weakness of products. The aim of this is to search for the successful factors of the manufacturing business which uses too much technology of manufacturing automation and to observe the difference of the successful factors which influence to introduction performance according to the introduction type of automation technology and the strategic type through the empirical analysis.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.387-390
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• 2021

본 연구는 기업에서 로봇프로세스 자동화(Robotic Process Automation, RPA)의 실질적 적용가능성 확인을 위해 개념증명(Proof of Concept, PoC) 차원에서 RPA를 활용하여 법인카드 정산업무 자동화를 설계 및 구현하였다. 이를 위해 법인카드 정산업무 수행을 위한 프로세스 분류와 각 단계별 사용자 입력 요구사항을 상세분석하였으며, RPA 자동화영역 발굴을 통해 실제 시범운영 서비스로 구현하여 실효성을 검증하였다.

• The Journal of the Acoustical Society of Korea
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• v.14 no.6
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• pp.27-31
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• 1995

In this paper, the determination method of available bandwidth for automation of the split-spectrum processing(SSP) has been studied. The SSP is used for the visibility enhancement of the ultrasonic signal with grain noise. Even though the SSP has proved useful in signal-to-noise ratio enhancement, its application and automation have been limited due to ambiguity in the determination of available bandwidth. Until recently, it is the usual practice to optimize the available bandwidth by trial and error. The spectral histogram is the statistical distribution of the spectral windows that is selected by the minimization algorithm with the whole band of the spectrum of the received ultrasonic signal. Since the available bandwidth can be determined adaptively using spectral histogram, this method can be used for automation of the SSP. In order to evaluate the determination technique of the available bandwidth using spectral histogram, this method is applied to experimental ultrasonic data. The experimental results show that the spectral histogram is an efficient method for determination of the available bandwidth and automation of the SSP.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.213-221
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• 2022

Intelligent Character Recognition System for Account Payable (ICRS AP) Automation represents the process of capturing text from scanned invoices and extracting the key fields from invoices and storing the captured fields into properly structured document format. ICRS plays a very critical role in invoice data streamlining, we are interested in data like Vendor Name, Purchase Order Number, Due Date, Total Amount, Payee Name, etc. As companies attempt to cut costs and upgrade their processes, accounts payable (A/P) is an example of a paper-intensive procedure. Invoice processing is a possible candidate for digitization. Most of the companies dealing with an enormous number of invoices, these manual invoice matching procedures start to show their limitations. Receiving a paper invoice and matching it to a purchase order (PO) and general ledger (GL) code can be difficult for businesses. Lack of automation leads to more serious company issues such as accruals for financial close, excessive labor costs, and a lack of insight into corporate expenditures. The proposed system offers tighter control on their invoice processing to make a better and more appropriate decision. AP automation solutions provide tighter controls, quicker clearances, smart payments, and real-time access to transactional data, allowing financial managers to make better and wiser decisions for the bottom line of their organizations. An Intelligent Character Recognition System for AP Automation is a process of extricating fields like Vendor Name, Purchase Order Number, Due Date, Total Amount, Payee Name, etc. based on their x-axis and y-axis position coordinates.