• 한국농촌건축학회논문집
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• 제24권3호
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• pp.39-46
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• 2022

This study aims to derive basic living service facility items in rural areas and construct related spatial data. To do this, a literature review on the laws and systems related to the residential environment and services in rural areas, rural spatial planning, and the 'Rural Convention' strategic plan reports for the Jeolla and Gyeongsang Region in 2021 was conducted. Primary data collection and review on the list of basic living service items in rural areas derived from the analysis were conducted. After data collection, 12 sectors and 44 types of rural basic living service items were derived; the data selection was carried out based on the clarity of the subject of data management, whether it was established nationwide, whether it was disclosed and provided, whether it was periodically updated, and whether it was an underlying law. Afterwards, data on the derived rural basic living service items were constructed. Afterwards, spatial data on the derived rural basic living service items were constructed. Because open data provided through various institutions were employed, data structure unification such as data attribute values and code names was needed, and abnormal data such as address errors and omissions were refined. After that, the data provided in text form was converted into spatial data through geocoding, and through comparative review of the distribution status of the converted data and the provided address, spatial data related to rural basic living services were finally constructed for about 540,000 cases. Finally, implications for data construction for diagnosing rural living areas were derived through the data collection and construction process. The derived implications include data unification, data update system establishment, the establishment of attribute values necessary for rural living area diagnosis and spatial planning, data establishment plan for facilities that provide various services, rural living area analysis method, and diagnostic index development. This study is meaningful in that it laid the foundation for data-based rural area diagnosis and rural planning, by selecting the basic rural living service items, and constructing spatial data on the selected items.

• ETRI Journal
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• 제24권6호
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• pp.462-464
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• 2002

This paper presents a serial interface circuit that permits selection of the amount of data converted from serial-to-parallel and parallel-to-serial and overcomes the disadvantages of the conventional serial input/output interface. Based on the selected data length operating mode, 8 bit or 16 bit serial-to-parallel and 8 bit or 16 bit parallel-to-serial conversion takes place in data blocks of the selected data length.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 춘계학술대회
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• pp.9-11
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• 2022

4차산업혁명 및 데이터 경제의 지속성장과 활성화를 위해 국내에서는 세계 최초로 '데이터 기본법'을 제정하여 시행하고 있다. 하지만 해당 법률은 데이터산업의 활성화와 데이터자산의 보호를 다루기는 데이터의 생산, 유통 및 이용 활성화를 우선으로 하고 있어서 개인정보보호법이나 저작권법보다 우선 적용·해석 될 수 있다. 이에 본 논문에서 데이터기본법의 주요내용을 살펴보고, 개인정보 이슈를 고찰해 보고자 한다.

• 패션비즈니스
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• 제11권3호
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• pp.35-45
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• 2007

This study examined how to create 2D basic pattern of individuals by means of 3-D body figure, which is to develop a flat of individual basic pattern directly from the 3-D body scan data of each subject using that of the upper body of a male adult. In terms of methodology, this study adopted 3D body scan data on system and body to make examinations in the following steps: 1. Standard point and line were set on human body, along with 3-D definition points(feature points). 2. PB was created by modifying horizontal and longitudinal section of scan data. 3. Ways to set reserve were established in the findings of PB planar development. Respective developed flat patterns were compared with pattern findings in previous studies by means of sensory evaluation. As a result, it was found that both system and body model are basic pattern and belong to appropriate pattern as semi-tight-fit basic pattern with overall appropriate tolerances. Thus, this study came to a conclusion that it is feasible and valid to develop theories for flat development as considered herein.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2018년도 추계학술대회
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• pp.652-654
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• 2018

제품디자인 제작 설계에서 기초모델링 데이터를 생성하는 과정은 매우 중요하고 제작시간 또한 많이 소요된다는 단점이 있다. 최근 이러한 단점을 보완하기 위해 모델링데이터를 쉽게 획득 할 수 있는 3D 스캐닝 기술이 등장하고 있다. 본 논문은 공간상의 사물을 촬영한 후 영상데이터에서 모델링데이터로 변환하는 기술을 제시하고 제품디자인에 적용할 수 있는 기초모델링 데이터를 생성한다. 또한 제품의 기초모델링 데이터를 리디자인과 활용할 수 있는 방안을 제시한다.

• 한국의류산업학회지
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• 제12권3호
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• pp.354-363
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• 2010

The purpose of this study was to provide some preliminary results on application of 3D scan data of head shapes to the hat design and pattern-making. This paper defined necessary measurement items and concepts in 3-dimensional images of head shapes. And also it presented the methodology to pattern-making of 6-piece crown hat based on 3D data. It used the data of Size Korea to pick up and choose a head shape model with the average head size of Korean women in their twenties. Main results were: 1. The 3D scan data of head shape was better than the 1 dimensional measurement data. Because I could establish a hat pattern-making theory by the 3D scan data of head. 2. The 3D scan data provided the basis for conceptualization of basic measurement points and items for a better fit of hats as well as the definition of the basic hat circumference. 3. This presented a methodology for analyzing out head shape by 3D scan data, and allowed the derivation of the basic hat circumference from the maximum head circumference. 4. As the 6-piece Crown cloche hat made by this method fitted the head shape model perfectly, this methodology could suggest potential applicability to various hat design.

• 통합자연과학논문집
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• 제7권1호
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• pp.62-66
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• 2014

This study aims to implement the emergency monitoring robot system which predicts the current state of the patients without visiting the medical institutions by measuring the basic health status of the user's blood pressure, heartbeat, and basic health status of body temperature in the disaster emergency situation based on the Smart Grid. By arranging a large number of sensor(blood pressure, heartbeat, body temperature sensor) and measuring the bio signs, so the attached wireless XBee sensor can be stored in DB of robot, and it aims to draw the current state of the patients by analysis of stored bio data. Among 300 data obtained from the sensor, 1st data to 100th data were used for learning, and from 101st data to 300th data were used for assessment. 12 results were different among the total 300 assessment data, so it shows about 96% accuracy.

• 한국정보전자통신기술학회논문지
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• 제16권2호
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• pp.77-86
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• 2023

본 연구는 마이데이터의 건전한 생태계 조성을 위한 시사점을 제시하기 위해 개인데이터의 활용과 보호라는 양면을 지닌 마이데이터의 기본특성을 법제도 측면에 다룬 기존 연구와는 달리, 문헌조사를 통해 국내외의 마이데이터 서비스와 정부정책에 미치는 영향에 대해 분석하였다. 마이데이터의 기본특성은 마이데이터 서비스의 수용과 활성화를 위한 촉진요인과 저해요인으로 작용하며, 주요국가의 마이데이터 정책에 있어 추구하는 가치와 지향점을 제시하고 있었다. 이는 앞으로 마이데이터 서비스와 정부정책을 추진하는데 있어 마이데이터의 기본특성을 반영한 보다 균형잡힌 시각이 필요함을 시사한다고 하겠다. 본 연구는 마이데이터의 건전한 생태계를 조성하고 바람직한 정부 정책을 추진하는데 있어 기여하길 기대한다.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2005년도 BIOINFO 2005
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• pp.91-95
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• 2005

In the multidimensional protein identification technology of high-throughput proteomics, we use one-dimensional gel electrophoresis and after the separation by two-dimensional liquid chromatography, the sample is analyzed by tandem mass spectrometry. In this study, we have analyzed the Pseudomonas Putida KT2440 protein. From the protein identification, the protein database was combined with its reversed sequence database. From the peptide selection whose error rate is less than 1%, the SEQUEST database search for the tandem mass spectral data identified 2,045 proteins. For each protein, we compared the molecular weight calibrated from 1D-gel band position with the theoretical molecular weight computed from the amino acid sequence, by defining a variable MW$_{corr}$ Since the bacterial proteome is simpler than human proteome considering the complexity and modifications, the proteome analysis result for the Pseudomonas Putida KT2440 could suggest a guideline to build the protocol to analyze human proteome data.

• 실천공학교육논문지
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• 제12권2호
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• pp.265-273
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• 2020

본 논문에서는 비전공자들을 위한 교양과목으로 적용할 수 있는 기초 데이터과학 실습 커리큘럼을 제안하고, 엑셀(스프레드시트) 데이터 분석 도구를 활용한 교육 방법을 제안하였다. 데이터 수집, 데이터 가공 및 데이터 분석을 위한 도구에는 엑셀, R, 파이썬, SQL(Structured Query Language) 등이 있다. R, 파이썬 및 SQL은 데이터 과학을 실습하는 데 있어, 프로그래밍 언어와 자료구조를 이해해야 한다. 반면에, 엑셀 도구는 비전공자들에게도 친숙한 데이터 분석도구로서, 프로그래밍 언어에 대한 학습 부담이 없다. 그리고 기초적인 데이터과학 실습을 엑셀로 진행하면, 데이터과학 이론을 습득하는 데 집중할 수 있는 장점이 있다. 본 논문에서는 한 학기 분량의 기초 데이터과학 실습 커리큘럼과 주별 엑셀 실습 내용을 제안하였다. 그리고, 교육 내용 실체를 실증하기위해, 엑셀 데이터분석 도구를 활용하여, 선형 회귀 분석(Linear Regression Analysis) 예제들을 제시하였다.