• Title/Summary/Keyword: database(DB)

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Study on Determining Core Journals and Network Analysis in the Field of Disaster & Safety (재난안전 분야 핵심 학술지 탐색 및 네트워크 분석 연구)

  • Kim, Byungkyu;You, Beom-Jong
    • Journal of the Korean Society for Library and Information Science
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    • v.53 no.4
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    • pp.373-397
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    • 2019
  • Recent disasters are a complex and growing trend. In order to effectively prepare for and respond to disasters that occur without notice, it is very important to use scientific information related to disaster and safety in addition to the standardized disaster safety information that is used. In this paper, we searched and selected major journals in the field of disaster & safety and conducted various network analysis studies using the classification scheme for development of integrated metadata for disaster & safety information developed through Disaster & Safety Information Sharing Platform R&D project as well as KSCD. Also, we have constructed and analyzed citation network, co-authorship network and keyword network through data identification and preprocessing of research paper contents. As a result of this study, based on the network constructed by information analysis unit, the network structure between core domestic and foreign journals, major research institutes, core keywords and individual information by disaster & safety type was identified in detail, and the analysis results were presented on a case-by-case basis.

The Changes in the Trend of Thyroid Cancer incidence for Korean Population: Consecutive 10 Years Analysis (2004-2013) (국민건강보험공단 표본코호트DB를 이용한 한국 갑상선암 발생률의 추이 변화: 10년간 분석(2004-2013))

  • Lee, Jin-Seok;Kang, Sang-Wook;Lim, Chi Young
    • Korean Journal of Head & Neck Oncology
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    • v.37 no.1
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    • pp.11-16
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    • 2021
  • Background/Objectives: To analyze changes in the incidence of thyroid cancer for Korean population using big data from the National Health Insurance Service. Materials & Methods: Sample cohort database between January 2004 and December 2013 with 1,000,000 cases for each year was enrolled in this study. Thyroid cancer incidence was analyzed by sex, age and by region. Public health insurance payment was used to reflect socioeconomic status. Results: The incidence of thyroid cancer in Korea increased for 10 years annually. There are 3 times increasing in the incidence rate of thyroid cancer from 2004, 0.03% to 2013, 0.09%. The sex ratio in the incidence rate of thyroid cancer was male : female = 1:7.2 in 2004 and male : female = 1:3.6 in 2013 that suggest decreased gap between the sex ratio. Between 2004 and 2010, the incidence rates of those in their 40s were found to be the highest, whereas the incidence rates for those in their 50s were found to be highest from 2011 and thereafter. Every year the high socioeconomic status group showed a higher incidence of thyroid cancer than low socioeconomic status group. Some specific region showed continuous high incidence of thyroid cancer, not all city and state. Conclusion: The incidence rate of thyroid cancer for 10 years had special feature by sex, age, socioeconomic status and especially by region. This results will be a barometer for further epidemiologic study about the incidence of thyroid cancer for Korean population

The Analysis of Chosun Danasty Poetry Using 3D Data Visualization (3D 시각화를 이용한 조선시대 시문 분석)

  • Min, Kyoung-Ju;Lee, Byoung-Chan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.7
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    • pp.861-868
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    • 2021
  • With the development of technology for visualizing big-data, tasks such as intuitively analyzing a lot of data, detecting errors, and deriving meaning are actively progressing. In this paper, we describe the design and implementation of a 3D analysis that collects and stores the writing data in Chinese characters provided by the Korean Classical Database of the Korean Classics Translation Institute, stores and progress the data, and visualizes the writing information in a 3D network diagram. It solves the problem when a large amount of data is expressed in 2D, intuitive that analysis, error detection, meaningful data extraction such as characteristics, similarity, differences, etc. and user convenience can be provided. In this paper, we improved the problems of analyzing Chosun dynasty poetry in Chinese characters using 2D visualization conducted in previous studies.

Hybrid Web Content Management System Implementation (하이브리드 웹 콘텐츠 관리 시스템 구현)

  • Park, Seon-Gyeong;Mun, Hyung-Jin
    • Journal of Industrial Convergence
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    • v.17 no.2
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    • pp.15-20
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    • 2019
  • The purpose of this study is to provide customized experience learning service platform that enables consumers to easily search for various content information about on - site experiential learning, exhibitions, events, and culture, and to provide services. To provide customized experiential learning information that meets the requirements of the consumer. Beacon technology implemented through this study is a BLE technology that broadcasts a URL in Eddystone format developed by Google. This means that even if a user does not install a separate application, Making it easier and faster to access. Based on this, when the database of local cultural contents is completed, it will be expanded to the whole country, and it is expected that more diverse and high quality self - directed cultural contents experiential learning activity education programs will be provided to consumers by diversifying contents and expanding the market.

Research Trend of the Analysis and Restoration Study on Traditional Pigments (전통 안료 분석과 복원 연구 현황)

  • Lee, Han-hyoung
    • Korean Journal of Heritage: History & Science
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    • v.48 no.1
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    • pp.132-147
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    • 2015
  • In this article, the research trends regarding the analysis and restoration of the pigments applied on colored cultural properties during past 25 years are reviewed and the future research direction in this field of study is proposed. There are over 100 different pieces of the colored cultural property samples that have been analyzed in Korea during the time and are increasing numbers of studies on comparative investigations as well. In addition, new analysis techniques have been introduced to surpass the limitation of the current analysis techniques and the database construction has been developed tremendously, which will enhance the analysis reliability, indicating fast growth in the related research areas. There are also studies on finding new materials to replace the traditional ingredients for producing color pigments and related other materials to overcome the limitation of the traditional ingredients on top of the steady number of studies on reproduction and restoration of the traditional pigments. These various research efforts will bring much development in this area of research. One suggestion to be made is that there need to be long term planned research works for certain type of studies. For instance, the effect to the colored cultural properties due to the environmental change is one of important research topics that should be carefully studied, which requires longer time period and also more patience than the research works in the current and past trends.

GCP Chip Automatic Extraction of Satellite Imagery Using Interest Point in North Korea (특징점 추출기법을 이용한 접근불능지역의 위성영상 GCP 칩 자동추출)

  • Lee, Kye Dong;Yoon, Jong Seong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.37 no.4
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    • pp.211-218
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    • 2019
  • The Ministry of Land, Infrastructure and Transport is planning to launch CAS-500 (Compact Advanced Satellite 500) 1 and 2 in 2019 and 2020. Satellite image information collected through CAS-500 can be used in various fields such as global environmental monitoring, topographic map production, analysis for disaster prevention. In order to utilize in various fields like this, it is important to get the location accuracy of the satellite image. In order to establish the precise geometry of the satellite image, it is necessary to establish a precise sensor model using the GCP (Ground Control Point). In order to utilize various fields, step - by - step automation for orthoimage construction is required. To do this, a database of satellite image GCP chip should be structured systematically. Therefore, in this study, we will analyze various techniques for automatic GCP extraction for precise geometry of satellite images.

Allocation Techniques for NVM-Based Fast Storage Considering Application Characteristics (응용의 특성을 고려한 NVM 기반 고속 스토리지의 배치 방안)

  • Kim, Jisun;Bahn, Hyokyung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.4
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    • pp.65-69
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    • 2019
  • This paper presents an optimized adoption of NVM for the storage system considering application characteristics. To do so, we first characterize the storage access patterns for different application types, and make two prominent observations that can be exploited in allocating NVM storage efficiently. The first observation is that a bulk of I/O does not happen on a single storage partition, but it is varied significantly for different application categories. Our second observation is that there exists a large proportion of single accessing in storage data. Based on these observations, we show that maximizing the storage performance with NVM is not obtained by fixing it as a specific storage partition but by allocating it adaptively for different applications. Specifically, for graph, database, and web applications, using NVM as a swap, a journal, and a file system partitions, respectively, performs well.

An Automated Industry and Occupation Coding System using Deep Learning (딥러닝 기법을 활용한 산업/직업 자동코딩 시스템)

  • Lim, Jungwoo;Moon, Hyeonseok;Lee, Chanhee;Woo, Chankyun;Lim, Heuiseok
    • Journal of the Korea Convergence Society
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    • v.12 no.4
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    • pp.23-30
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    • 2021
  • An Automated Industry and Occupation Coding System assigns statistical classification code to the enormous amount of natural language data collected from people who write about their industry and occupation. Unlike previous studies that applied information retrieval, we propose a system that does not need an index database and gives proper code regardless of the level of classification. Also, we show our model, which utilized KoBERT that achieves high performance in natural language downstream tasks with deep learning, outperforms baseline. Our method achieves 95.65%, 91.51%, and 97.66% in Occupation/Industry Code Classification of Population and Housing Census, and Industry Code Classification of Census on Basic Characteristics of Establishments. Moreover, we also demonstrate future improvements through error analysis in the respect of data and modeling.

The Monitoring System for Location of Workers Inside a Thermal Power Plant Boiler (화력 발전기 보일러 내부 작업자 위치 모니터링 시스템 개발)

  • Song K.;Yun, C.N.;Shin, Y.H.;Shin, J.H.;Han, S.H.;Jang, D.Y.
    • Journal of the Korean Society of Safety
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    • v.36 no.5
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    • pp.71-78
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    • 2021
  • There are regularly planned overhaul periods in thermal power plants, which involve the maintenance of the boiler of the power plants. However, thermal power plants workers are always exposed to risk during overhaul periods owing to the narrow space and significant dust inside the boiler. Therefore, it is essential to develop a safety monitoring system that is suitable for operating in this type of environment. In this study, we developed not only a worker three-dimensional (3D)-location monitoring system that can monitor and record the entry/exit of workers, their 3D-location, and fall accidents but also a method to secure the working environment and operation efficiency. This system comprises of a worker tag, which was equipped with an inertial measurement unit, a barometric pressure sensor, and a Bluetooth low energy (BLE), and the tags were given to each worker. In addition, the location of workers inside the boiler was measured using a pedestrian dead reckoning (PDR) method and BLE beacons. The location data of the workers tag were transmitted to the integrated database (DB) server through a gateway, and to the administrator monitoring system. The performance of the system was demonstrated inside an actual thermal power plant boiler, and the accuracy and reliability of the system were verified through a number of repeated tests. These results provide insights on designing a new system for monitoring enclosed spaces.

Statistical analysis on long-term change of jitter component on continuous speech signal (음성신호의 Jitter 성분의 장시간 변화에 관한 통계적 분석)

  • Jo, Cheolwoo
    • Phonetics and Speech Sciences
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    • v.12 no.4
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    • pp.73-80
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    • 2020
  • In this study, a method for measuring the jitter component in continuous speech is presented. In the conventional jitter measurement method, pitch variabilities are commonly measured from the sustained vowels. In the case of continuous speech, such as a spoken sentence, distortion occurs with the existing measurement method owing to the influence of prosody information according to the sentence. Therefore, we propose a method to reduce the pitch fluctuations of prosody information in continuous speech. To remove this pitch fluctuation component, a curve representing the fluctuation is obtained via polynomial interpolation for the pitch track in the analysis interval, and the shift is removed according to the curve. Subsequently, the variability of the pitch frequency is obtained by a method of measuring jitter from the trajectory of the pitch from which the shift is removed. To measure the effects of the proposed method, parameter values before and after the operations are compared using samples from the Kay Pentax MEEI database. The statistical analysis of the experimental results showed that jitter components from the continuous speech can be measured effectively by proposed method and the values are comparable to the parameters of sustained vowel from the same speaker.