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The Study on Control Algorithm of Elevator EDLC Emergency Power Converter (승강기 EDLC 비상전원 전력변환장치 제어 알고리즘 연구)

  • Lee, Sang-min;Kim, IL-Song;Kim, Nam
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.6
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    • pp.709-718
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    • 2017
  • The installation of the elevator ARD(Automatic Rescue Device) system has been forced into law in these days in order to safely rescue passengers during power failure. The configuration of the ARD system consists of energy storage device, power converter and control systems. The EDLC(Electric Double Layer Capacitor) are used as energy storage device for rapid charge/discharge purposes. The power conditioning system (PCS) consists of bi-directional converter, 3-phase converter and control system. The dead-beat control system is adopted for most systems however it requires complex mathematical calculations, the high performance microprocessors are mandatory and thus it can be a cause of high manufacturing cost. In this paper the new control method for average current mode control is presented for simple structure. The control algorithm is applied to the single phase system and then expands to three phase system to meet the sysem requirements. The mathematical modeling using average modeling method is presented and analysed by PSIM computer simulation to verifie the validity of the proposed control methods.

A Study on Improvement of Satellite Surveying Infrastructure through Analysis of Operation Status of GNSS CORS (GNSS 상시관측소 운영 현황 분석을 통한 위성측량 인프라 개선방안 연구)

  • Park, Joon Kyu;Um, Dae Yong
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.11
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    • pp.933-940
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    • 2017
  • The modern society is changing paradigm by the 4th industrial revolution. In these changes, the importance of geospatial information leading to the fusion and connection of persons and objects is increasing day by day. GNSS CORS(Continuously Operating Reference Station) plays a pivotal role in the geospatial information by providing basic data for surveying control points, mapping, navigation, geophysical research, and so on. On the other hand, the satellite surveying technologies are developing rapidly and it is necessary to investigate the status of the satellite surveying environment and search for future directions. In this study, the environment related to satellite survey by operation status of domestic and overseas CORS(Continuously Operating Reference Station) was tried to analyze. Through the research, The operation status of NGII and IGS CORS were presented. It was found that the availability ratio of multiple satellites to the CORS of NGII are lower than that of IGS CORS. Considering the improvement of positioning performance by using multiple GNSS, it is necessary to use multi-satellites in the future.

Research of Specific Domestic De-identification Technique for Protection of Personal Health Medical Information in Review & Analysis of Overseas and Domestic De-Identification Technique (국내외 비식별화 기술에 관한 검토 분석에 따른 개인건강의료정보 보호를 위한 국내 특화 비식별화 기술 제안에 관한 연구)

  • Lee, Pilwoo;In, Hanjin;Kim, Cheoljung;Yeo, Kwangsoo;Song, Kyoungtaek;Yu, Khigeun;Baek, Jongil;Kim, Soonseok
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.6 no.7
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    • pp.9-16
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    • 2016
  • As life in a rapidly changing Internet age at home and abroad, large amounts of information are being used medical, financial, services, etc. Accordingly, especially hospitals, is an invasion of privacy caused by leakage and intrusion of personal information in the system in medical institutions, including clinics institutions. To protect the privacy & information protection of personal health medical information in medical institutions at home and abroad presented by national policies and de-identification processing technology standards in accordance with the legislation. By comparative analysis in existing domestic and foreign institutional privacy and de-identification technique, derive a advanced one of pseudonymization and anonymization techniques for destination data items that fell short in comparison to the domestic laws and regulations, etc. De-identification processing technology for personal health information is compared to a foreign country pharmaceutical situations. We propose a new de-identification techniques by reducing the risk of re-identification processing to enable the secondary use of domestic medical privacy.

System Architecture of the Integrated Data Safety Zone for the Secured Application of Transportation-specific Mobility Data (교통 분야 모빌리티 데이터의 안전한 활용을 위한 통합데이터안심구역 시스템 아키텍처 개발)

  • Hyoungkun Lee;Keedong Yoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.3
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    • pp.88-103
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    • 2023
  • With the recent advancement of 4th Industrial Revolution technology, transportation systems are generating large amounts of mobility data related to the individual movement trajectories of vehicles and people. There are many constraints on utilizing mobility data containing personal information. Thus, in South Korea, the processing and generation of pseudonymized information and the analysis and utilization of this information have been managed in a dual manner by applying separate agencies and technologies through the revision of the Data 3 Act and the enactment of the Data Basic Act. However, this dual approach fails to securely support the entire data lifecycle and suffers from inefficiencies in terms of processing time and cost. Therefore, to compensate for the problems of the existing Expert Data Combination System and Data Safety Zone, this study proposes an Integrated Data Safety Zone Framework that integrates and unifies the process of generating, processing, analyzing, and utilizing mobility data. The integrated process for data processing was redesigned, and common requirements and core technologies were derived. The result is an architecture for a next-generation Integrated Data Safety Zone system that can manage and utilize the entire life cycle of mobility data at one stop.

A Case Study on Penetrating Hard Rock with Alternative Methods of Shield TBM for Weathered Layer in Subway Construction (지하철공사에서 풍화대용 쉴드 TBM의 경암 구간 굴진 시 대체공법에 대한 사례연구)

  • Park, Hyung-Keun;Ko, Won Keun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.6D
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    • pp.623-629
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    • 2010
  • Recently, the Shield TBM (Tunnel Boring Machine) construction method is used gradually to increase at the Tunnel Constructin site. However the design and application of the Shield TBM were carried out without sufficient investigation of the ground conditions in the construction site. Due to insufficient understanding to the corresponding equipment is frequently occurring unexpected construction cost and extension of a construction period. The most suitable alternative construction method was determined by analyzing tunneling rate, duration, construction cost of shield machine and tunneling data of alternative method. The result of the case study is suggested as follows. First, the accurate soil exploration on the construction site should be preceded to prevent from tunneling stoppage and schedule delay. Second, the most suitable selection of the shield machine to the ground conditions of the construction site should be executed based on the investigation. Third, the best alternative method for boring of hard rock section is 'hard rock blasting after open cut and cover method'.

Liaohe National Park based on big data visualization Visitor Perception Study

  • Qi-Wei Jing;Zi-Yang Liu;Cheng-Kang Zheng
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.4
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    • pp.133-142
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    • 2023
  • National parks are one of the important types of protected area management systems established by IUCN and a management model for implementing effective conservation and sustainable use of natural and cultural heritage in countries around the world, and they assume important roles in conservation, scientific research, education, recreation and driving community development. In the context of big data, this study takes China's Liaohe National Park, a typical representative of global coastal wetlands, as a case study, and using Python technology to collect tourists' travelogues and reviews from major OTA websites in China as a source. The text spans from 2015 to 2022 and contains 2998 reviews with 166,588 words in total. The results show that wildlife resources, natural landscape, wetland ecology and the fishing and hunting culture of northern China are fully reflected in the perceptions of visitors to Liaohe National Park; visitors have strong positive feelings toward Liaohe National Park, but there is still much room for improvement in supporting services and facilities, public education and visitor experience and participation.

A Study of Home-visit Care Agencies' Perceptions and Attitudes toward Home and Community Long-term care Agency Quality Assessment (HCLA-QA) Program (방문요양기관의 재가장기요양기관평가에 대한 인식 및 태도)

  • Han, Eun-Jeong;Lee, Jung-Suk;Kwon, Jinhee
    • 한국노년학
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    • v.32 no.2
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    • pp.467-485
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    • 2012
  • National Health Insurance Corporation initiated Home and Community Long-term care Agency Quality Assessment(HCLA-QA) program in 2010. This study aims to explore long-term care agencies' perceptions and attitudes toward HCLA-QA program, focused on the home-visit care agencies. Total 473 agencies completed the questionnaires(response rate 13.6%), using the e-mail and fax survey methods with high-capacity web-fax server of NHIC. On the results of this study, we found the agencies' different perceptions and attitudes on HCLA-QA program according to their quality ratings as QA results. Compared to the agencies with low quality ratings, the agencies with high quality ratings tend to have more time for preparation, better understandings about HCLA-QA program, more positive perceptions that quality indicators generally are valid, and more affirmative attitudes that the notifications of QA results are helpful for agencies. Our findings can be very useful for establishing strategies for improving the HCLA-QA program. The policy makers, the insurer, and the agencies need to consider the opinions of the agencies with high quality ratings as well as the ones with low quality ratings.

Risk Assessment and Evaluation of Bt-transgenic Rice : Responses of Misgurnus anguillicaudatus and Cyprinus carpio fed on Bt-transgenic Rice Variety (해충저항성 Bt벼의 환경위해성 평가 : 해충저항성 Bt벼가 미꾸리(Misgurnus anguillicaudatus) 및 잉어(Cyprinus carpio)에 미치는 영향)

  • Oh, Sung-Dug;Lee, Dae-Yong;Sohn, Soo-In;Lee, Ki-Jong;Ryu, Tae-Hun;Lee, Jang-Yong;Park, Beom-Seok;Kweon, Soon-Jong;Suh, Seok-Cheol;Park, Jong-Sug
    • Journal of the Korean Society of International Agriculture
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    • v.23 no.5
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    • pp.570-577
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    • 2011
  • We developed insect-resistant GM rice(Bt transgenic rice) by inserting the mCry1Ac1 a modified gene from the soil bacterium, Bacillus thuringiensis. The Bt transgenic rice expressing the Bttoxin mCry1Ac1 was tested for the effects on survival of Misgurnus anguillicaudatus and Cyprinus carpio, commonly used as a model organism in ecotoxicological studies. M. anguillicaudatus and C. carpio fed 100% ground rice in suspension, using either Bt rice or non-GM counterpart rice(Nakdong). The Bt rice used for the test were confirmed to have the mCry1Ac1 gene expression by the immuno-strip and ELISA analysis. Feeding test showed that no significant differences in cumulative immobility and abnormal response of M. anguillicaudatus and C. carpio fed on between Bt rice and non-GM counterpart rice. The 96hr-LC50 values showed no difference between Bt rice(>1,000mg/L) and non-GM rice(>1,000mg/L). We concluded that there was no significant difference in toxicity for non-target organisms(M. anguillicaudatus and C. carpio) between Bt rice and non-GM counterparts.

Research on optimal safety ship-route based on artificial intelligence analysis using marine environment prediction (해양환경 예측정보를 활용한 인공지능 분석 기반의 최적 안전항로 연구)

  • Dae-yaoung Eeom;Bang-hee Lee
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2023.05a
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    • pp.100-103
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    • 2023
  • Recently, development of maritime autonomoust surface ships and eco-friendly ships, production and evaluation research considering various marine environments is needed in the field of optimal routes as the demand for accurate and detailed real-time marine environment prediction information expands. An algorithm that can calculate the optimal route while reducing the risk of the marine environment and uncertainty in energy consumption in smart ships was developed in 2 stages. In the first stage, a profile was created by combining marine environmental information with ship location and status information within the Automatic Ship Identification System(AIS). In the second stage, a model was developed that could define the marine environment energy map using the configured profile results, A regression equation was generated by applying Random Forest among machine learning techniques to reflect about 600,000 data. The Random Forest coefficient of determination (R2) was 0.89, showing very high reliability. The Dijikstra shortest path algorithm was applied to the marine environment prediction at June 1 to 3, 2021, and to calculate the optimal safety route and express it on the map. The route calculated by the random forest regression model was streamlined, and the route was derived considering the state of the marine environment prediction information. The concept of route calculation based on real-time marine environment prediction information in this study is expected to be able to calculate a realistic and safe route that reflects the movement tendency of ships, and to be expanded to a range of economic, safety, and eco-friendliness evaluation models in the future.

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Building robust Korean speech recognition model by fine-tuning large pretrained model (대형 사전훈련 모델의 파인튜닝을 통한 강건한 한국어 음성인식 모델 구축)

  • Changhan Oh;Cheongbin Kim;Kiyoung Park
    • Phonetics and Speech Sciences
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    • v.15 no.3
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    • pp.75-82
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    • 2023
  • Automatic speech recognition (ASR) has been revolutionized with deep learning-based approaches, among which self-supervised learning methods have proven to be particularly effective. In this study, we aim to enhance the performance of OpenAI's Whisper model, a multilingual ASR system on the Korean language. Whisper was pretrained on a large corpus (around 680,000 hours) of web speech data and has demonstrated strong recognition performance for major languages. However, it faces challenges in recognizing languages such as Korean, which is not major language while training. We address this issue by fine-tuning the Whisper model with an additional dataset comprising about 1,000 hours of Korean speech. We also compare its performance against a Transformer model that was trained from scratch using the same dataset. Our results indicate that fine-tuning the Whisper model significantly improved its Korean speech recognition capabilities in terms of character error rate (CER). Specifically, the performance improved with increasing model size. However, the Whisper model's performance on English deteriorated post fine-tuning, emphasizing the need for further research to develop robust multilingual models. Our study demonstrates the potential of utilizing a fine-tuned Whisper model for Korean ASR applications. Future work will focus on multilingual recognition and optimization for real-time inference.