• Title/Summary/Keyword: Master Data

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Asymmetric Index Management Scheme for High-capacity Compressed Databases (대용량 압축 데이터베이스를 위한 비대칭 색인 관리 기법)

  • Byun, Si-Woo;Jang, Seok-Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.7
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    • pp.293-300
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    • 2016
  • Traditional databases exploit a record-based model, where the attributes of a record are placed contiguously in a slow hard disk to achieve high performance. On the other hand, for read-intensive data analysis systems, the column-based compressed database has become a proper model because of its superior read performance. Currently, flash memory SSD is largely recognized as the preferred storage media for high-speed analysis systems. This paper introduces a compressed column-storage model and proposes a new index and its data management scheme for a high-capacity data warehouse system. The proposed index management scheme is based on the asymmetric index duplication and achieves superior search performance using the master index and compact index, particularly for large read-mostly databases. In addition, the data management scheme contributes to the read performance and high reliability by compressing the related columns and replicating them in two mirrored SSD. Based on the results of the performance evaluation under the high workload conditions, the data management scheme outperforms the traditional scheme in terms of the search throughput and response time.

A study on the internal reputation factors affecting the job satisfaction: Focusing on big data analysis in the social media for corporation reputation (직무만족도에 영향을 미치는 내부평판 요인에 관한 연구: 기업정보 제공 소셜 미디어 빅데이터를 중심으로)

  • Seo, Woon-Chae;Kim, Hyoung-Joong
    • Journal of Digital Contents Society
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    • v.17 no.4
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    • pp.295-305
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    • 2016
  • The purpose of this study is to analyze the internal reputation factors that affect the job satisfaction by big data analysis in the social media for corporate reputation and verify the difference between large corporations and small-medium corporations for each factor of internal reputation. The result showed 'Salaries and Benefits' is a major factor that affects the job satisfaction for all research corporations, 'Senior Management' is a major factor for large corporations, and 'Salaries and Benefits' is a major factor for small-medium corporations. As for the difference factors of large corporations and small-medium corporations are 'Job Satisfaction', 'Salaries and Benefits', and 'Work-life Balance'. Unstructured data analysis shows some interesting features to be studied further.

Performance Analysis of Korean WADGPS Algorithms with NDGPS Data

  • Yun, Young-Sun;Kim, Do-Yoon;Pyong, Chul-Soo;Kee, Chang-Don
    • International Journal of Aeronautical and Space Sciences
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    • v.6 no.1
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    • pp.44-51
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    • 2005
  • To provide more accurate and reliable positioning and timing services to Korean nationwide users, the Ministry of Maritime Affairs and Fisheries of Korea is implementing Korean NDGPS (Nationwide DGPS), which is operational partly. And it also has a plan to construct WADGPS (Wide Area Differential GPS) system using sites and equipments of the NDGPS reference stations. For that, Seoul National University GNSS Laboratory is implementing and testing prototypes of WRS (Wide-area Reference Station) and WMS (Wide-area Master Station). Until now, because there are not enough installed WRSs to be used for computing wide area correction information, we cannot test algorithms of WMS with the data processed actually in WRSs. Therefore to evaluate the performance of the algorithms, we made a MATLAB program which can process RINEX (Receiver INdependent Exchange) format data with WADGPS algorithm. Using that program which consists of WRS, WMS and USER modules, we processed the data collected at NDGPS reference stations, which are saved in RINEX format. In WRS module, we eliminate the atmospheric delay error from the pseudorange measurement, smooth the measurement by hatch filter and calculate pseudorange corrections for each satellite. WMS module collects the processed data from each reference stations to generate the wide area correction information including estimated satellite ephemeris errors, ionospheric delays at each grid point, UDRE (User Differential Range Error), GIVE (Grid Ionosphere Vertical Error) and so on. In USER part, we use the measurements of reference stations as those of users and estimate the corrected users' positions and protection levels (HPL, VPL). With the results of estimation, we analyzed the performance of the algorithms. We assured the estimated UDRE /GIVE values and the protection levels bound the corresponding errors effectively. In this research, we can expect the possible performance of WADGPS in Korea, and the developed modules will be useful to implementation and improvement of the algorithms.

A Study on the Problems and Improvement Plan of Cadastral Map Data Maintenance Project (지적·임야도 자료정비 사업의 문제점 및 개선방안 연구)

  • Baek, Kyu-Yeong;Choi, Yun-Soo
    • Journal of Cadastre & Land InformatiX
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    • v.50 no.1
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    • pp.63-73
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    • 2020
  • The Ministry of Land, Infrastructure and Transport carried out a pilot project for data maintenance in 2011 to ensure the accuracy of cadastral records nationwide, and now trying to reduce the errors such as omission of the cadastral book, inconsistency of land category between cadastral account book and cadastral map, etc. and the boundary between the map boundary, scale, and administrative areas. In this study, we looked at the currents status and problems of the cadastral research, improving the cadastral map, which has been promoted by the government and the cadastral office. In order to revitalize the cadastral map data maintenance project, it is necessary to re-establish the plan for each step for challenging the limitation of current data maintenance, and the master plan for promotion system, and develop manuals to maintain consistency and secure accuracy of cadastral map maintenance, such as "Coverage and Maintenance Guidelines for Cadastral Maps", and secure the national budget for error correction in cadastral map led by government.

The effect of heat and press-on-metal technique on marginal fit of metal-ceramic crown (열가압성형도재의 사용이 금속도재관 치경부 변연적합도에 미치는 영향)

  • Kim, Ji-Eun;Kim, Se-Yeon;Lee, Cheong-Hee
    • The Journal of Korean Academy of Prosthodontics
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    • v.52 no.2
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    • pp.90-96
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    • 2014
  • Purpose: The purpose of this study is to see what impact the heat and press-on-metal technique has on the marginal fit of metal ceramic crown. Materials and methods: Prior to the experiment, 4 metal master models were prepared. Each model has margin of chamfer, margin of heavy chamfer, margin of shoulder with bevel and margin of shoulder (collarless). Additionally, 10 crowns were made for each margin, total of 40 crowns. Marginal discrepancy between the master model and crown was observed at ${\times}100$ microscopic magnification in two states; in coping state and upon completion of making metal ceramic crown. Data analysis was performed using paired t-test along with one-way ANOVA and Duncan multiple comparison test. Results: After analyzing mean and standard deviation of marginal discrepancy, it was confirmed that marginal discrepancies were within the clinical permitted range for all states; in coping state and upon completion of making metal ceramic crown. For the chamfer group, a significant increase in marginal discrepancy upon completion of making metal ceramic crown was observed compared to the heavy chamfer group. Also, a marginal discrepancy of porcelain margin in shoulder group was significantly less than the marginal discrepancy of metal margin in chamfer and shoulder group. Conclusion: From the test result, one can conclude that marginal fit of metal ceramic crown built with heat and press-on-metal technique is not significantly different from marginal fit of metal ceramic crown built with traditional technique. And along with efficiency of this system, heat and press-on-metal technique is considered in clinic.

Construction of the Regional Basemap for a Developing Country: Focused on the Bab Ezzouar Municipality in Algeria (개발도상국 지역분석용 베이스맵 구축방안: 알제리의 밥 에주아흐 지역을 중심으로)

  • Lee, Yong Jik;Choei, Nae Young
    • Journal of Korean Society for Geospatial Information Science
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    • v.23 no.1
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    • pp.89-99
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    • 2015
  • Recently, our construction industry is actively participating in numerous city planning projects in the third world countries. Considering the current depression of domestic real estate market, the emerging foreign demands could certainly provide substantial opportunities for the domestic industry to overcome the trough. For the field planners dealing with such foreign projects, though, the immediate problem is the lack of public statistics and geographic information to perform spatial analyses and/or prepare master plans. This study, in this context, tries to simulate a process to construct a digitized basemap of the case area, 'Bab Ezzouar,' in Algeria of Northern Africa. The area is a typical municipality that lacks the IT databases. To overcome the data shortage, the study uses the satellite map tiles so as to digitize the roads and building structures. It then estimates the block-wise populations based on the building image interpolation as well as the supplementary field survey data. The topographic TINs are also built by the SRTM (Shuttle Radar Topography Mission) digital elevation maps so that the three-dimensional configuration of the structures and terrains are rendered to check the urban scenery and skylines.

The Exploring Meaning and Training Experiences of Kendo Participants (검도동호인의 수련경험과 의미)

  • Park, Dongjoo;Lee, Keunmo;Lim, Saemi
    • 한국체육학회지인문사회과학편
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    • v.56 no.6
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    • pp.71-80
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    • 2017
  • The purpose of this study was to explore meaning and training experience of Kendo participants by qualitative research. For this purpose, the results of the study were obtained from 11 male and female subjects practicing in the Kendo area of Busan Metropolitan City. In order to elucidate the results of the study, in - depth interviews and related supporting data were collected and the data collected through text analysis were analyzed. As a result, the training experience of Kendo participants has formulated in three respective aspects and the result of such study is shown comprehensively as follows. The Kendo participants consider that the Kendo training would be the continuance of one's own fight and the process to overcome such would be an occasion to enhance the sense of pride for the trainees. Not only in Kendo training but also in ordinary living, this experience displays the foundation to overcome when one encounters the limitations within. Under this process, what is important to the Kendo trainees would be manner. The first thing learned in the Kendo training center is manner and manner is the most important virtue to be equipped for the Kendo trainers. Furthermore, Kendo has the strength to advance righteous personal traits through the physical activities. Lastly, those participants that are equipped with the qualification as the master through long period of training have profound training of Kendo in order to be equipped with the competency as the master and this experience has prepared the turning point to be advanced as true and genuine Kendo men.

Modbus TCP based Solar Power Plant Monitoring System using Raspberry Pi (라즈베리파이를 이용한 Modbus TCP 기반 태양광 발전소 모니터링 시스템)

  • Park, Jin-Hwan;Kim, Chang-Bok
    • Journal of Advanced Navigation Technology
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    • v.24 no.6
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    • pp.620-626
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    • 2020
  • This research propose and simulate a solar power generation system monitoring system based on Modbus TCP communication using RaspberryPi, an IOT equipment, as a master and an inverter as a slave. In this model, various sensors are added to the RaspberryPi to add necessary information for monitoring solar power plants, and power generation prediction and monitoring information are transmitted to the smart phone through real-time power generation prediction. In addition, information that is continuously generated by the solar power plant is built on the server as big data, and a deep learning model for predicting power generation is trained and updated. As a result of the study, stable communication was possible based on Modbus TCP with the Raspberry Pi in the inverter, and real-time prediction was possible with the deep learning model learned in the Raspberry Pi. The server was able to train various deep learning models with big data, and it was confirmed that LSTM showed the best error with a learning error of 0.0069, a test error of 0.0075, and an RMSE of 0.0866. This model suggested that it is possible to implement a real-time monitoring system that is simpler, more convenient, and can predict the amount of power generation for inverters of various manufacturers.

Pattern Recognition of Ship Navigational Data Using Support Vector Machine

  • Kim, Joo-Sung;Jeong, Jung Sik
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.15 no.4
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    • pp.268-276
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    • 2015
  • A ship's sailing route or plan is determined by the master as the decision maker of the vessel, and depends on the characteristics of the navigational environment and the conditions of the ship. The trajectory, which appears as a result of the ship's navigation, is monitored and stored by a Vessel Traffic Service center, and is used for an analysis of the ship's navigational pattern and risk assessment within a particular area. However, such an analysis is performed in the same manner, despite the different navigational environments between coastal areas and the harbor limits. The navigational environment within the harbor limits changes rapidly owing to construction of the port facilities, dredging operations, and so on. In this study, a support vector machine was used for processing and modeling the trajectory data. A K-fold cross-validation and a grid search were used for selecting the optimal parameters. A complicated traffic route similar to the circumstances of the harbor limits was constructed for a validation of the model. A group of vessels was composed, each vessel of which was given various speed and course changes along a specified route. As a result of the machine learning, the optimal route and voyage data model were obtained. Finally, the model was presented to Vessel Traffic Service operators to detect any anomalous vessel behaviors. Using the proposed data modeling method, we intend to support the decision-making of Vessel Traffic Service operators in terms of navigational patterns and their characteristics.

Development and Operation of Marine Environmental Portal Service System (해양환경 포탈서비스시스템 구축과 운영)

  • 최현우;권순철
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2003.05a
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    • pp.338-341
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    • 2003
  • According to a long-term master plan for the implementing of MOMAF's marine environmental informatization, we have developed marine environment portal web site which consists of 7 main-menu and 39 sub-menu including various types of contents (text, image and multimedia) based on RDBMS. This portal site was opened in Oct., 2002 (http://www.meps.info). Also, for the national institutions' distributed DB which is archived and managed respectively the marine chemical data and biological data, the integrated retrieval system was developed. This system is meaningful for the making collaborative use of real data and could be applied for data mining, marine research, marine environmental GIS and making-decisions.

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