• Proceedings of the KIEE Conference
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• 1994.07a
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• pp.488-490
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• 1994

To meet the requirements of high performance and reliability as a industrial motor drive, we developed an integrated oil-line fault diagnosis and monitoring system which consists of DSP-based controller and PC-based MMI (Man-machine interface) program. The dedicated controller performs real-lime fault detections and protections. The MMI program monitors the on-line fault status of the drive system and offers full explanations of the fault name(WHAT?), deducible causes of the fault operation(WHY?), and chock points (HOW?) based upon the experiences of the expert. Also the TRACE data which was stored just before and after the accident can be scrutinized using MMI tools.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.235-236
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• 2015

전력계통의 오프라인 해석에 가장 보편적으로 사용되는 시뮬레이션 프로그램으로는 PSS/E와 DSATools가 있다. 두 개의 프로그램 모두 PSS/E Raw Data Format을 조류계산을 위한 기본 입력 Data로서 사용하고 있다. Raw Data는 모선 번호를 이용하여 계통의 토폴로지를 구성하고, 전력계통 해석을 수행한다. 오프라인 해석에서는 모선 번호를 이용한 해석이 가능하다. 하지만, 모선 개수가 변하는 실시간 환경에서는 모선 번호 기반의 해석이 어렵다. 본 논문에서는 실시간 환경에서 온라인 DSATools를 이용한 해석이 가능 하도록 설비명이라는 개념을 도입한다. 이 설비명 기반의 온라인 DSATools를 실시간 EMS와 연계를 위한 시스템 구성 및 데이터 종류에 대하여 알아보도록 한다.

• Journal of Korea Society of Digital Industry and Information Management
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• v.4 no.3
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• pp.33-43
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• 2008

As internet is spreaded widely, the number of cyber terror using hacking and virus is increased. Also the hacking to the internet shopping mall go on increasing. If the large shopping mall is attacked by the hacker, a number of user's information are exposed to the hacker. The private information as like a resident registration number, user's real name, the date of user's birth, the mobile phone number, the office phone number / address, the home phone number / address and so on include the information. These information are used in the phishing e-mails / call and spam. And them are selling and buying maliciously. The large internet shopping mall 'auction' was hacked in April, 2008. After the incident, this paper suggested a countermeasures on the hacking for the internet shopping mall. The technical item and political item are included among the countermeasures. The countermeasures can protect the hacking not only the internet shopping mall but also the web sites basically.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.11
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• pp.5252-5268
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• 2018

To support a large-scale Hadoop cluster, Hadoop heartbeat messages are designed to deliver the significant messages, including task scheduling and completion messages, via piggybacking to reduce the number of messages received by the NameNode. Although Hadoop is designed and optimized for high-throughput computing via batch processing, the real-time processing of large amounts of data in Hadoop is increasingly important. This paper evaluates Hadoop's performance and costs when the heartbeat period is controlled to support latency sensitive applications. Through an empirical study based on Hadoop 2.0 (YARN) architecture, we improve Hadoop's I/O performance as well as application performance by up to 13 percent compared to the default configuration. We offer a guideline that predicts the performance, costs and limitations of the total system by controlling the heartbeat period using simple equations. We show that Hive performance can be improved by tuning Hadoop's heartbeat periods through extensive experiments.

• Communications for Statistical Applications and Methods
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• v.29 no.3
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• pp.333-351
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• 2022

The skew-t distribution is an attractive family of asymmetrical heavy-tailed densities that includes the normal, skew-normal and Student's-t distributions as special cases. In this work, we propose an EM-type algorithm for computing the maximum likelihood estimates for skew-t linear regression models with censored response. In contrast with previous proposals, this algorithm uses analytical expressions at the E-step, as opposed to Monte Carlo simulations. These expressions rely on formulas for the mean and variance of a truncated skew-t distribution, and can be computed using the R library MomTrunc. The standard errors, the prediction of unobserved values of the response and the log-likelihood function are obtained as a by-product. The proposed methodology is illustrated through the analyses of simulated and a real data application on Letter-Name Fluency test in Peruvian students.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.7
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• pp.589-596
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• 2014

Block Transporter should be optimized transportation path, otherwise it brings about lot of logistics costs and production delays. Block Transporter location must be checked in real time for optimization of transportation path. In this paper we implement real-time location determination using mobile RFID for location of Block Transporter. Mobile RFID reader mounted on a smartphone is recognize Mobile RFID Tag attached in the Transporter. Then, Smartphone is store information of every Transporter name and load and etc. Finally, Smartphone is transmit information(Mobile RFID Tag information, Transporter information, location determination information used AP and GPS) to the server. As a result, We can optimize or modify transportation path of Block Transporter in real-time using information transmitted to the server.

• Journal of the Korea Society of Computer and Information
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• v.20 no.5
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• pp.65-72
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• 2015

In this paper, we proposed the color matching application based on smart phone which can help color blind people. For color blind people, the existing methods and applications supported color matching application which based on mobile. However, because the most research only showed the color value and color name through capture image of mobile camera, those cannot compare with capture image color of mobile camera and color of real object in real-time. To solve those problem, we proposed the color matching algorithm and developed the color matching application that can compare with color of mobile camera's capture image and color of real object in real-time, because the proposed application divides screen of smart phone into two parts and it show one part as capture image of smart phone camera and the other part as real-time camera image of smart phone. Color matching algorithm calculate cosine similarity using Red, Green, Blue, and Hue value of each image for real-time comparing and show matching result according to similarity value in real-time. To evaluate the performance of the proposed application, we tested a color matching experiment using the proposed application and the matching result was 98% success rate. Therefore, the proposed application will be a useful application which can help color blind people.

• The Journal of Korean Obstetrics and Gynecology
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• v.20 no.1
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• pp.239-257
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• 2007

Purpose : In the part of Ob & Gy disease, the health insurance application is very limited. This study has been performed for gaining the basic data of enlargement of insurance coverage and reform of the insurance system corresponded with real clinical conditions. Methods : The survey has been practiced twice, the subjective questionnaire was used at the first survey. Then the questionnaire written using the results of first survey was distributed to the Korean medical doctors(KMD) who participated in the autumn symposium of the society of Oriental Obstetrics & Gynecology. Results : 1. The main Ob & Gy disease that the acupuncture treatment has been used actually or thought be positively necessary on the clinic were Dysmenorrhea(including premenstrual syndrome), Climacteric syndrome, Menstrual disorder, Postpartum Pain syndrome. Amenorrhea, Low back pain with pregnancy, JingHa(pelvic tumor), Infertility etc. 2. The main additional complex the sick and wounded names given to visiting patients for Ob & Gy disease as the limits of acupuncture items of insurance coverage were Low back Pain(J10), Qi-stasis(B13.0), SimHwaHangYeom(C2l.1). 3. Suitable the sick and wounded name of Ob & Gy disease thought be added in BokGangNae(Intra-abdominal acupuncture: CV13 ${\cdot}$CV16${\cdot}$CV10). TuJa(Puncture each adjoining acu-points in one insertion : SP6-GB39), TuJa(PC6-TE5) among acupuncture items of insurance coverage were Dysmenorrhea(K05). Menstrual disorder(K02) and Dysmenorrhea(K05), Hyperemesis(K16.0). 4. Climacteric syndrome(K04) and Dysmenorrhea(K05) should be added as suitable the sick and wounded name of TuJa(SP6-GB39), and Postpartum pain syndrome(K29) as KwanJeolGangNea(Intra-articular acupuncture: S35, LE201). Conclusion : Standing on this study, additional survey to general KMD should be continued. And the academic verifications through the oriental medical literatures and RCT papers on acupuncture should be also required.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.2
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• pp.389-396
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• 2024

Generative AI has recently been utilized across all fields, achieving expert-level advancements in deep data analysis. However, identifying regional names in scientific literature remains a challenge due to insufficient training data and limited AI application. This study developed a standardized dataset for effectively classifying regional names using address data from Korean institution-affiliated authors listed in the Web of Science. It tested and evaluated the applicability of machine learning and deep learning models in real-world problems. The BERT model showed superior performance, with a precision of 98.41%, recall of 98.2%, and F1 score of 98.31% for metropolitan areas, and a precision of 91.79%, recall of 88.32%, and F1 score of 89.54% for city classifications. These findings offer a valuable data foundation for future research on regional R&D status, researcher mobility, collaboration status, and so on.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.1170-1178
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• 2022

Indoor POI data, an essential component of indoor spatial data, has attribute information of a specific place in the room and is the most critical information necessary for the user. Currently, indoor POI data is manually updated by direct investigation, which is expensive and time-consuming. Recently, research on updating POI using the attribute information of indoor photographs has been advanced to overcome these problems. However, the range of use, such as using only photographs with text information, is limited. Therefore, in this study, and to improvement this, I proposed a new method to update indoor POI data using a smartphone camera. In the proposed method, the POI name is obtained by classifying the indoor scene's photograph into artificial intelligence technology CNN and matching the location criteria to indoor spatial data through AR technology. As a result of creating and experimenting with a prototype application to evaluate the proposed method, it was possible to update POI data that reflects the real world with high accuracy. Therefore, the results of this study can be used as a complement or substitute for the existing methodologies that have been advanced mainly by direct research.