• Spatial Information Research
• /
• 제15권3호
• /
• pp.251-266
• /
• 2007

제1, 2차 국가GIS사업이 완료되고 제3차 국가GIS사업이 추진되고 있는 시점에 국가GIS사업의 활용도는 여전히 낮은 실정이다. 1, 2차 국가GIS사업으로 국토공간정보기반이 갖추어졌기 때문에 향후 GIS의 활용도는 지금보다는 훨씬 높아질 것으로 예상된다. 특히 유비쿼터스 시대를 맞아 GIS에 대한 국가적인 수요의 대폭적인 증가가 예상됨에 따라 기 구축된 국가GIS사업의 활용분야가 보다 넓어질 것이다. 이를 위해 본 연구에서는 지금까지 추진해 온 국가GIS사업 중에 우리나라에서만 독특한 형태로 수행되고 있는 GIS활용체계사업에 중점을 두고 그 추진과정 및 실적을 평가하였다. 특히 이를 위해 행정업무에 실제 활용하는 지자체의 GIS 활용실태를 심층 조사하고 지자체 및 국가차원에서 GIS활용을 제고하는데 장애요인을 분석해 그 해결방안을 모색해 보고자 한다. 이 연구에서 제시된 결과는 향후 수행될 제3차 국가GIS기본계획 수정계획 및 제4차 국가GIS기본계획 수립의 기초 자료로 활용하는데 일조하고자 한다.

• 패션비즈니스
• /
• 제19권5호
• /
• pp.63-76
• /
• 2015

The purpose of this study was to design a training program for utilization of 3D special makeup mask program. This study was conducted with a 3D computer graphics software program, for special makeup mask using a variety of creative educational models and case study with comparative analysis. The makeup program applied to the majors and liberal arts classes for program design. Inthis study, the selected major courses included ' stage make up ', make up application', and illustrations and color '. Students were required to take a class targeted to questionnaire completion and analysis. The research method included literature search, and Internet navigation, of experimental research. The research targeted select college students attending a 4-year university located in Dae-jeon, Korea. ETRI's "3D mask special makeup simulation program" was used in support. A survey of the study conducted from September 1, 2013, to August 30, 2014, showed a total of 94 additional statistical analyses. First, grade 3 44.6% was attained by 91.7% of the first year student majoring in liberal arts classes, Second, students' in the 3D special dress up mask program Interestingly, attained high recognition in its mastering, usability, and creativity. Furthermore, the major student satisfaction was higher for the '3D special makeup mask program. Third, students '3D special dress up was one of the biggest advantages of the program', the mask ' that models 3D ' faces. In addition, the student's delicate dress called for critical technology skills. It is thought to be suitable for practical training and improving the efficiency and performance if applied to universities and beauty schools, such as the regular high school curriculum through research.

• 대한디지털의료영상학회논문지
• /
• 제13권1호
• /
• pp.39-48
• /
• 2011

Uses a Tomographic scan image and Table Object Distance(TOD) price after measuring, uses accuracy and usability of blood vessel diameter(Vessel Diameter) measurement under comparison evaluating boil TOD Calibration. The patient who enforces Prosecuting Attorney abdomen Tomographic scan in the object the superior mesentery artery uses PACS View from abdomen fault image and from blood vessel diameter and the table measures the height until of the blood vessel. Uses Angio Catheter from Angiography(5 Fr.) and enforces is measured from PACS View the height until of the table which and the blood vessel at TOD Calibration price and the size of the superior mesentery artery inputs measures an superior mesentery artery building skill. Catheter Calibration input Agnio Catheter where uses in Angiography the size of the superior mesentery artery at Catheter Calibration price and they measure. Produced an accuracy from monitoring data and comparison evaluated. The statistical program used SPSS. TOD Calibration accuracy was 96.53%, standard deviation is 0.03829. Catheter Calibration accuracy of 92.91%, standard deviation is 0.05085. Represents a statistically significant difference(p = 0). According to age and gender was not statistically significant(p > 0.05). TOD Calibration correlation coefficient R-squared of 88.8%, Catheter Calibration of the R-squared is 75.5%. High accuracy of both methods. Through this study, CT images using the measured distance between the table and the Object, TOD Calibration accuracy higher than two Catheter Calibration was measured. TOD and Catheter Calibration represents a statistically significant difference(p = 0).

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
• /
• pp.453-454
• /
• 2003

Most research materials (data), which are used for the study of digital mapping and digital elevation model (DEM) in the field of Remote Sensing and Aerial Photogrammetry are aerial photographs and satellite images. Additionally, they are also used for National land mapping, National land management, environment management, military purposes, resource exploration and Earth surface analysis etc. Although aerial photographs have high resolution, the data, which they contain, are not used for environment exploration that requires continuous observation because of problems caused by its coastline, as well as single - spectral and long-term periodic image. In addition to this, they are difficult to interpret precisely because Satellite Images are influenced by atmospheric phenomena at the time of photographing, and have by far much lower resolution than existing aerial photographs, while they have a great practical usability because they are mulitispectral images. The PKNU 2 is an aerial photographing system that is made to compensate with the weak points of existing aerial photograph and satellite images. It is able to take pictures of very high resolution using a color digital camera with 6 million pixels and a color infrared camera, and can take perpendicular photographs because PKNU 2 system has equipment that makes the cameras stay level. Moreover, it is very cheap to take pictures by using super light aircraft as a platform. It has much higher resolution than exiting aerial photographs and satellite images because it flies at a low altitude about 800m. The PKNU 2 can obtain multispectral images of visible to near infrared band so that it is good to manage environment and to make a classified diagram of vegetation.

• 한국ITS학회 논문지
• /
• 제14권1호
• /
• pp.103-111
• /
• 2015

본 연구는 농촌지역 벽지노선의 공차운행 문제점과 대중교통서비스 사각지역 주민의 이동권을 확보하는 기능을 구현하는 수요응답형교통체계(DRT) 도입운영을 검토할 때, 이용자 관점에서 어느 정도의 요금수준이 적정할지를 산정하는데 연구의 목적이 있다. 이를 위해 DRT 도입에 대한 선호도를 가상선호의식조사(Stated Preference, SP)를 통해 조사한 후 조건부 가치측정법(Contingent Valuation Method)을 적용하여 DRT의 편익에 대한 이용요금의 지불의사액을 산정한다. 분석결과, 경제력이 낮은 농어촌지역의 사회적 약자가 평가하는 DRT의 가치는 1,000원의 이용요금을 받는 노선버스 서비스 보다 개선되는 접근성의 가치 38.85%, 원하는 시간대에 이용할 수 있는 편리성의 가치 31.03%, 버스를 기다리지 않고 이용할 수 있는 편의성의 가치 30.12%가 높은 약 1,638.73원 정도의 수준인 것으로 나타났다. 이러한 분석 결과는 DRT의 지속가능성을 담보할 수 있는 DRT 요금수준 결정을 위한 의사결정의 근거로 활용될 수 있을 것으로 판단된다.

• 한국정보통신학회논문지
• /
• 제25권3호
• /
• pp.412-418
• /
• 2021

본 연구는 스마트폰 제품디자인에서 감성공학 요소가 브랜드 선호도와 충성도에 미치는 영향을 알아보고자 한다. 감성공학 요소를 색상, 성능, 사용성, 가치, 신뢰성으로 나누고, 브랜드 선호도와 충성도의 관련성을 실증 분석하였다. 분석결과 스마트폰 제품디자인에서 감성공학 요소는 브랜드 선호도에 정적 영향을 미치며 영향력이 큰 요소는 성능, 색상 요소로 나타났다. 스마트폰 제품디자인에서 감성공학 요소는 충성도에 정적 영향을 미치며 영향력이 큰 요소는 신뢰성, 성능 요소로 나타났다. 제품디자인에서 브랜드 선호도가 높을수록 충성도에 영향을 크게 미친다. 제품디자인 감성공학 요소 중에서 영향력이 있는 요소를 파악함으로써 소비자들의 특성에 맞는 제품디자인에 관한 접근이 필요하다.

• 박물관보존과학
• /
• 제27권
• /
• pp.91-102
• /
• 2022

철기 문화재 복원에 사용되고 있는 실리카 계열의 무기질 충전제는 열팽창률감소, 흐름성 개선 등의 기능성 부여를 목적으로 사용되고 있다. 그러나 충전제의 양이 많을 수록 복원재의 물성저하 및 황변 현상 촉진의 원인이되며, 결과적으로 재처리로 이어져 유물의 피로도를 상승시키는 결과를 초래한다. 따라서 복원제와 충전제의 혼합 정량화 및 황변성 연구 필요성이 강조될 수 밖에 없다. 이를 보완하기 위해 실리카계 경량 충전제인 Micro Shell을 비교군으로 물성연구를 진행하였다. 실험 결과 기존에 사용하던 충전제에 비해 Micro Shell이 황변도 발생 수치가 최대 34% 낮았으며, 충전제의 배합양에 따라서 공통적으로 접착력과 비중의 물성 수치값이 좋은 것을 확인하였다. 본 연구 결과 Micro Shell의 사용 가능성에 대해 확인하였다.

• 동의생리병리학회지
• /
• 제35권6호
• /
• pp.219-227
• /
• 2021

The purpose of this study is to analyze the side effects (ADR) of Traditional Chinese Medicine (TCM) injections by age, injection type, symptoms, and causes, and to find preventive solutions for ADR. For the ADR of TCM injection data collected during the search period from January 1, 2010 to December 31, 2020, the correlation between each section was analyzed by subdividing it into age, injection type, symptoms and causes. CNKI, PubMed, and EMBASE were used to collect the clinical data. 'Chinese herbal injection', 'Traditional Chinese Medicine injection', 'Chinese herbal injection side effect', 'Chinese herbal injection adverse drug reaction' were used for the keyword from the database. All data were collected mainly for TCM injection and the causes of ADR due to TCM injection. However, data not related to the relevant study or TCM injection were excluded from this study. Among a total of 941 studies collected during the search period from January 1, 2010 to December 31, 2020, a total of 10 studies were selected for final analysis. In 1462 clinical data sets, ADR by gender was higher in males than females. By age, 41 to 60 years were the most common. The incidence of ADR by injection type was highest in the blood regulating injection type. Data analysis showed Xueshuantong injection had the highest ADR. Among the symptoms of ADR, skin diseases were the most common. The most common cause of ADR was the unreasonable use of drugs. In China, for ADR management, the use of TCM injections is recommended according to the basic principles for the clinical use of TCM injections established by the Chinese government. In this study, we analyzed the current status and causes of ADR in TCM injections, and found a preventive solution. It is expected that it can be used as basic data to increase the usability of pharmacopuncture and herbal medicines in Korea in the future.

• 한국IT서비스학회지
• /
• 제21권3호
• /
• pp.27-42
• /
• 2022

Open Data is an essential resource for the data industry. 'Act On Promotion Of The Provision And Use Of Public Data', enacted on July 30, 2013, mandates public institutions to manage the quality of Open Data and provide it to the public. Via such a legislation, the legal basis for the public to Open Data is prepared. Furthermore, public institutions are prohibited from developing and providing open data services that are duplicated or similar to those of the private sector, and private start-ups using open data are supported. However, as the demand for Open Data gradually increases, the cases of refusal to provide or interruption of Open Data held by public institutions are also increasing. Accordingly, the 'Open Data Mediation Committee' is established and operated so that the right to use data can be rescued through a simple dispute mediation procedure rather than complicated administrative litigation. The main issues dealt with in dispute settlement so far are usually the rights of third parties, such as open data including personal information, private information such as trade secrets, and copyrights. Plus, non-open data cannot be provided without the consent of the information subject. Rather than processing non-open data into open data through de-identification processing, positive results can be expected if consent is provided through active rights processing of the personal information subject. Not only can the Public Mydata Service be used by the information subject, but Open Data applicants will also be able to secure higher quality Open Data, which will have a positive impact on fostering the private data industry. This study derives a plan to establish a rights processing platform to enhance the usability of Open Data, including private information such as personal information, trade secrets, and copyright, which have become an issue when providing Open Data since 2014. With that, the proposals in this study are expected to serve as a stepping stone to revitalize private start-ups through the use of wide Open Data and improve public convenience through Public MyData services of information subjects.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제17권8호
• /
• pp.2030-2052
• /
• 2023

Analysis of a bipartite (two-mode) network is a significant research area to understand the formation of social communities, economic systems, drug side effect topology, etc. in complex information systems. Most of the previous works talk about a projection-based model or latent feature model, which predicts the link based on singular similarity. The projection-based models suffer from the loss of structural information in the projected network and the latent feature is hardly present. This work proposes a novel method for link prediction in the bipartite network based on an ensemble of composite similarities, overcoming the issues of model-based and latent feature models. The proposed method analyzes the structure, neighborhood nodes as well as latent attributes between the nodes to predict the link in the network. To illustrate the proposed method, experiments are performed with five real-world data sets and compared with various state-of-art link prediction methods and it is inferred that this method outperforms with ~3% to ~9% higher using area under the precision-recall curve (AUC-PR) measure. This work holds great significance in the study of biological networks, e-commerce networks, complex web-based systems, networks of drug binding, enzyme protein, and other related networks in understanding the formation of such complex networks. Further, this study helps in link prediction and its usability for different purposes ranging from building intelligent systems to providing services in big data and web-based systems.