• Title/Summary/Keyword: My Data

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Reconstitution of Meteorological Daily Logs in Choseon Dynasty and Analyzing Weather Records of the Annals of King Gojong (조선시대 일기류의 기상일지(氣象日誌)적 재구성과 고종일기의 기상기록 분석)

  • Kim, Il-Gwon
    • Atmosphere
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    • v.25 no.3
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    • pp.407-433
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    • 2015
  • First half of my article focused on analyzing the current state of historical materials regarding weather and climate, and established a list of weather-related historical literature collection of Korea with which to make a lexical approach to the situations of all kinds of weather literature. It also put emphasis on gathering information and data of weather logs from journal-type historical records which were contained in 48 weather-related journals of Choseon period. The results of this research are expected to be useful for the activation of study in historical meteorology. The latter half of my research focused on analyzing various meteorological states of sunny, cloudy, rainy, snowy and frosty weather which were recorded in the official Annals of King Kojong (1864~1907). And it re-verified historical rainfall data of preceding researches of Wada Yuji (1917), Jung-Lim (1994), Jhun-Moon (1997). In result, different records were found between data of theirs and mine. It means that we have to analyze and reconstruct newly the meteorological data of the Annals of King Gojong and the Daily Records of Royal Sungjungwon (1623~1910) during the late Choseon period.

Big Data Astronomy : Let's "PySpark" the Universe (빅데이터 천문학 : PySpark를 이용한 천문자료 분석)

  • Hong, Sungryong
    • The Bulletin of The Korean Astronomical Society
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    • v.43 no.1
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    • pp.63.1-63.1
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    • 2018
  • The modern large-scale surveys and state-of-the-art cosmological simulations produce various kinds of big data composed of millions and billions of galaxies. Inevitably, we need to adopt modern Big Data platforms to properly handle such large-scale data sets. In my talk, I will briefly introduce the de facto standard of modern Big Data platform, Apache Spark, and present some examples to demonstrate how Apache Spark can be utilized for solving data-driven astronomical problems.

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Genetic parameters of milk β-hydroxybutyrate acid, milk acetone, milk yield, and energy-corrected milk for Holstein dairy cattle in Korea (국내 Holstein종에서 milk β-hydroxybutyrate acid, milk acetone, 에너지 보정유량 및 산유량의 유전모수 추정)

  • Lee, SeokHyun;Choi, Sungwoon;Dang, Chang-Gwon;Mahboob, Alarn;Do, ChangHee
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.6
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    • pp.1349-1360
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    • 2017
  • This study was conducted to estimate the genetic parameters for common ketosis indicators (${\beta}$-hydroxybutyrate acid, BHBA; milk acetone), feed intake efficiency indicator (energy-corrected milk, ECM), and milk yield (MY) in Korean Holstein. A total of 75,072 monthly test-day records from 14,397 first parity cows were collected, between 2012 and 2016, from Korea animal improvement association enrolled farms. Variance components were estimated using a multiple trait random regression model. The heritability of BHBA and acetone levels ranged from 0.06 to 0.15 at different DIMs. The phenotypic and genetic correlations between BHBA and acetone were between 0.73 and 0.90, and between 0.93 and 0.98, respectively. The phenotypic correlation between BHBA and MY, between acetone and MY, between BHBA and ECM, and between acetone and ECM ranged from -0.18 to -0.05, -0.23 to -0.05, 0 to 0.10, and -0.09 to 0.01, respectively. Genetic correlation estimates between BHBA and MY, between acetone and MY, between BHBA and ECM, and between acetone and ECM also ranged from -0.55 to 0.05, -0.62 to -0.04, -0.10 to 0.11, and -0.20 to 0.00, respectively. We hope that these results would greatly assist in the improvement of ketosis disease in the local Holsteins.

Locking in Practice : Performance of a Database System on a Multicore Machine (락의 실제 : 멀티코어 상의 데이터베이스 성능 분석)

  • Han, Hyuck
    • The Journal of the Korea Contents Association
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    • v.14 no.8
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    • pp.22-29
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    • 2014
  • A lock is a general and popular way of serializing accesses to shared data in multiprocessor environments. After the mutual exclusion was first introduced in 1960s, many spinlock algorithms have been proposed and deployed to real systems such as operating systems and (transactional) database systems. In this study, we measure impacts of a lock mechanism on a database system under various CPU configurations using a high-end multicore system. For the evaluation, we use the most up-to-date version of MySQL (version 5.6) with InnoDB engine, which has been substantially re-architected to improve scalability on multicore machines. We changed the original spinlock function of InnoDB to evaluate various spinlock mechanisms on multicore machines.

The Relationship between Resourcefulness and Health Promoting Behavior of High School Girls (여고생의 자원동원성과 건강증진행위에 관한 연구)

  • Hwang, Ran Hee
    • Korean Parent-Child Health Journal
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    • v.17 no.1
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    • pp.18-28
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    • 2014
  • Purpose: The Purpose of this study was to investigate the relationships between resourcefulness and the health promoting behavior of high school girls. Methods: The subjects of this study consisted of 117 high school girls on S girls' high school. The data was analyzed with the SPSS computer program that includes descriptive statistics, mean, standard deviation, t-test, ANOVA, Pearson correlation coefficient and multiple regression analysis. Results: The mean age of subjects was 18.0 years old. The mean score of resourcefulness was 114.2. The most frequently practiced resourcefulness item was "By changing my way of thinking, I am often able to change my feelings about almost anything". The next most frequently practiced resourcefulness item was "My self-esteem increases when I am able to overcome a bad habit". There was no difference in the degree of resourcefulness with respect to the general characteristics. The mean score of health promoting behavior was 115.2. The group whose concerns over health was shown high health promoting behavior. The health education class group was shown high health promoting behavior. There was statistically significant positive correlation between resourcefulness and health promoting behavior of high school girls. Conclusion: The findings of this study provides promising evidence to construct further studies on the increasing health promoting behavior programs relating to high school girls. To increase health promoting behavior for high school girls, it is necessary to continue or possibly expand on existing health education programs.

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A Study on the Characteristics of the Planned New Town Apartments in Vietnam - Focusing on the Ho Chi Minh City the Phu My Hung Area - (베트남 신도시 아파트의 내·외부 계획특성에 관한 연구 - 호치민 푸미흥지구를 중심으로 -)

  • Kim, Do-Yeon
    • Korean Institute of Interior Design Journal
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    • v.25 no.2
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    • pp.101-111
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    • 2016
  • As globalization proceeds, transnational property development is increasing. Vietnam has began to experience a serious housing shortage throughout the urbanization process and they try to solve this housing problem in the city by development of New Town with an excellent technique. Of these, New city, Phu My Hung (PMH) is known as a very successful example. Therefore, this study researched 145 plan of 15 Apartment complexes which were completed after 2008 to analyse the plan characteristic of internal-external of Apartment in PMH New city in Ho Chi Minh City which effected the housing development in Vietnam. We collected the data from Internet and researched the characteristic of complex and an individual unit by visiting 6 Apartment complexes directly on Aug, 2014. In PMH, apartment has pattern of Mixed-use Apartment. There are stores on the 1st ad 2nd floor and consisted of 2 or 3 small complexes. They secure enough Green Space and Community Space and control visitor access for the safety of residents. Inside space organization is mainly consisted of 3LDK+2BATH and Public space and Private space is placed separately. Also, placed the Kitchen independently and it is quiet interesting that the entrance entry into the house directly from the external space.

The Experience of Gynecologic Cancer in Young Women: A Qualitative Study (젊은 부인암 여성의 질병경험)

  • Kim, Sung-Jin;Shin, Hyunjeong
    • Journal of Korean Academy of Nursing
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    • v.53 no.1
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    • pp.115-128
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    • 2023
  • Purpose: This study aimed to understand the experiences of women under 40 years of age with gynecologic cancer. Methods: Semi-structured individual in-depth interviews were conducted with 14 Korean female patients aged 21~39 years with gynecologic cancer. The data were analyzed using Corbin and Strauss' grounded theory approach, including open coding, context analysis, and integrating categories. Results: Grounded theory analysis revealed nine categories and a core category of 'the journey to find my life after losing the life as a typical woman.' The categories that emerged as the conditions are 'Unwelcomed guest, cancer,' 'Completely devastated life as an ordinary woman,' 'Uncertain future,' 'Losing my physical characteristics as a woman,' and 'Life tied with treatments.' The actions/interactions were 'Decrease of interpersonal relationships,' 'A lonely battle to overcome alone,' and 'The power to overcome hardships.' The consequence was 'Live my own life.' Conclusion: This study contributes to the development of a substantive theory of the experience of gynecologic cancer in young women, which has been on the rise in recent years. The study's results are expected to be used as a basis for providing nursing care to help young women with gynecologic cancer adapt to their disease.

Development of Hydrologic Data Management System Based on Relational Database (관계형 데이터베이스를 이용한 수문자료 관리시스템 개발)

  • Kim, Hak-Kwan;Park, Seung-Woo;Kim, Sang-Min
    • Journal of Korea Water Resources Association
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    • v.39 no.10 s.171
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    • pp.855-866
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    • 2006
  • In this paper, the Hydrologic Data Management System (HDMS) was developed for the efficient management of hydrologic data. The applicability of the system was demonstrated using the hydrologic data of study watershed located in the southwest from Suwon city MySQL 5.0, relational database management system, and MS Visual Basic 6.0 were used for the development of MS windows based HDMS. The primary components of the HDMS are data search system, data management system, and data analysis system. Data search and management systems provide basic functions for the efficient data search, storage, update and export. Data analysis system enables the users to get the further and diverse hydrologic statistical information from the stored data. Furthermore, the accuracy and quality of hydrologic data was analyzed and evaluated through data analysis system.

Living as Severe COPD Patient - Life of Stepping on the Thin Ice (중증 만성폐쇄성 폐질환 환자로 살아가기 -살얼음판 위를 걸어가는 삶-)

  • Kim, Sung-Reul;Kim, Yun-Ok;Kwon, Kyoung-Min
    • Korean Journal of Adult Nursing
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    • v.22 no.6
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    • pp.663-675
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    • 2010
  • Purpose: The purpose of this study was to explore the life experiences of patients with a severe Chronic Obstructive Pulmonary Disease (COPD). Methods: The data were collected through in-depth interviews of six patients suffering from severe COPD. The interviewed data were audio-recorded and transcribed verbatim and checked for accuracy. The Giorgi method of phenomenology was used for analyzing data. Results: Eight themes forming the, units of meaning, were: Repeated and Unpredictable Suffering of Dyspnea, Confidence Loss/Exhaustion Life due to non-efficient breathing, Gradually Deprived Liberty, Absolute Being to Sustaining my life, Source of Burden but Significant Person I am in the Family, Endless Tug-of-War-Capability/Endeavor to Breath, Longing for my Life, and Dead-end of breathing. Conclusion: The study results provide an in-depth understanding of life experiences of patients suffering from severe COPD. The findings will be useful to nurses caring for this population.

A Selective Compression Strategy for Performance Improvement of Database Compression (데이터베이스 압축 성능 향상을 위한 선택적 압축 전략)

  • Lee, Ki-Hoon
    • KIPS Transactions on Software and Data Engineering
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    • v.4 no.9
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    • pp.371-376
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    • 2015
  • The Internet of Things (IoT) significantly increases the amount of data. Database compression is important for big data because it can reduce costs for storage systems and save I/O bandwidth. However, it could show low performance for write-intensive workloads such as OLTP due to the updates of compressed pages. In this paper, we present practical guidelines for the performance improvement of database compression. Especially, we propose the SELECTIVE strategy, which compresses only tables whose space savings are close to the expected space savings calculated by the compressed page size. Experimental results using the TPC-C benchmark and MySQL show that the strategy can achieve 1.1 times better performance than the uncompressed counterpart with 17.3% space savings.