• Title/Summary/Keyword: 컴퓨터의자료

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Development of Geotechnical Information Input System Based on GIS on Standization of Geotechnical Investigation Result-format and Metadata (지반조사성과 양식 및 메타데이터 표준화를 통한 GIS기반의 지반정보 입력시스템 개발)

  • Jang, YongGu;Lee, SangHoon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.4D
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    • pp.545-551
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    • 2008
  • The MOCT(Ministry of Construction & Transportation) gave a order named as "The guideline for computerization and application of geotechnical investigation result" to an affiliated organization in March 2007. Today, pilot project of construction of geotechnical information database is in process to be stable for its system after applying this guideline, and discipline how to input investigated data for related users. We have developed standard for geotechnical investigation result-format, metadata for distribution of geotechnical information and to coordinate based on world geodetic system. Also, We had a introduce to status with respect to use the input system, collect a statistics of input contents. At a result, improvement items of input system is proposed. It was analyzed that most users put to practical use easily as a result of education for making use of on the spot of the developed GIIS. But There were problems with the GIIS as well as complexity of metadata formation, such as error of moving part of information window, and a part of recognition error of install program in accordance with computer OS circumstances. Particularly, to improve some parts of GIIS is needed, because of use of or KNHC (Korea National Housing Corporation)-specific format and difference of input process followed by MOCT's guideline. In this study, it is planning to make up for occurred problems, and improvements when operating and managing the Geotechnical Information DB center in 2008.

Statistical Data Extraction and Validation from Graph for Data Integration and Meta-analysis (데이터통합과 메타분석을 위한 그래프 통계량 추출과 검증)

  • Sung Ryul Shim;Yo Hwan Lim;Myunghee Hong;Gyuseon Song;Hyun Wook Han
    • The Journal of Bigdata
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    • v.6 no.2
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    • pp.61-70
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    • 2021
  • The objective of this study was to describe specific approaches for data extraction from graph when statistical information is not directly reported in some articles, enabling data intergration and meta-analysis for quantitative data synthesis. Particularly, meta-analysis is an important analysis tool that allows the right decision making for evidence-based medicine by systematically and objectively selects target literature, quantifies the results of individual studies, and provides the overall effect size. For data integration and meta-analysis, we investigated the strength points about the introduction and application of Adobe Acrobet Reader and Python-based Jupiter Lab software, a computer tool that extracts accurate statistical figures from graphs. We used as an example data that was statistically verified throught an previous studies and the original data could be obtained from ClinicalTrials.gov. As a result of meta-analysis of the original data and the extraction values of each computer software, there was no statistically significant difference between the extraction methods. In addition, the intra-rater reliability of between researchers was confirmed and the consistency was high. Therefore, In terms of maintaining the integrity of statistical information, measurement using a computational tool is recommended rather than the classically used methods.

Visual Expression Effect by Digitization of Embroidery Design (자수 디자인의 디지털화에 의한 시각적 표현효과)

  • Kyung Ja Paek
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.3
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    • pp.407-413
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    • 2023
  • The purpose of this study is to provide basic information about various methods to easily affix unique embroidery effects to clothes due to the current expansion of digital fashion technology. A comparison of design techniques using virtual and real clothing was used to show the visual expression of embroidery designs. Actual embroidery motifs were created using a computer embroidery machine, DTP embroidery motifs were made by utilizing digitalization techniques, and digital motifs were produced. Then patch pocket type T-shirts were produced using each embroidery technique to compare the visual expression effects on clothing. The results of this comparison are as follows: for real clothing color (3.5), texture (4.0), gloss (3.8), and thickness (3.5). It was found that the color and thickness of the embroidery floss was visually sufficiently show the design texture and gloss. In terms of the embroidery design on virtual garments, the resutls of color (3.8), texture (4.3), gloss (3.9), and thickness (3.6) showed a high degree of similarity to the non-virtual results, confirming that digitized embroidery motifs are also a tool that can fully realize unique embroidery effect.

Automated Satellite Image Co-Registration using Pre-Qualified Area Matching and Studentized Outlier Detection (사전검수영역기반정합법과 't-분포 과대오차검출법'을 이용한 위성영상의 '자동 영상좌표 상호등록')

  • Kim, Jong Hong;Heo, Joon;Sohn, Hong Gyoo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.4D
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    • pp.687-693
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    • 2006
  • Image co-registration is the process of overlaying two images of the same scene, one of which represents a reference image, while the other is geometrically transformed to the one. In order to improve efficiency and effectiveness of the co-registration approach, the author proposed a pre-qualified area matching algorithm which is composed of feature extraction with canny operator and area matching algorithm with cross correlation coefficient. For refining matching points, outlier detection using studentized residual was used and iteratively removes outliers at the level of three standard deviation. Throughout the pre-qualification and the refining processes, the computation time was significantly improved and the registration accuracy is enhanced. A prototype of the proposed algorithm was implemented and the performance test of 3 Landsat images of Korea. showed: (1) average RMSE error of the approach was 0.435 pixel; (2) the average number of matching points was over 25,573; (3) the average processing time was 4.2 min per image with a regular workstation equipped with a 3 GHz Intel Pentium 4 CPU and 1 Gbytes Ram. The proposed approach achieved robustness, full automation, and time efficiency.

Design and Application of Artificial Intelligence Experience Education Class for Non-Majors (비전공자 대상 인공지능 체험교육 수업 설계 및 적용)

  • Su-Young Pi
    • Journal of Practical Engineering Education
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    • v.15 no.2
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    • pp.529-538
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    • 2023
  • At the present time when the need for universal artificial intelligence education is expanding and job changes are being made, research and discussion on artificial intelligence liberal arts education for non-majors in universities who experience artificial intelligence as part of their job is insufficient. Although artificial intelligence education courses for non-majors are being operated, they are mainly operated as theory-oriented education on the concepts and principles of artificial intelligence. In order to understand the general concept of artificial intelligence for non-majors, it is necessary to proceed with experiential learning in parallel. Therefore, this study designs artificial intelligence experiential education learning contents of difficulty that can reduce the burden of artificial intelligence classes with interest in learning by considering the characteristics of non-majors. After, we will examine the learning effect of experiential education using App Inventor and the Orange artificial intelligence platform. As a result of analysis based on the learning-related data and survey data collected through the creation of AI-related projects by teams, positive changes in the perception of the need for AI education were found, and AI literacy skills improved. It is expected that it will serve as an opportunity for instructors to lay the groundwork for designing a learning model for artificial intelligence experiential education learning.

An Examination of the Course Syllabi Related to Data Librarian in the ALA-accredited Library and Information Science Degree Programs (ALA인가 문헌정보학 학위 과정의 데이터 사서 양성과 관련된 교과목의 강의계획서 분석)

  • Hyoungjoo Park
    • Journal of Korean Library and Information Science Society
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    • v.54 no.4
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    • pp.307-334
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    • 2023
  • The purpose of this study is to examine the status of data librarian-related course syllabi in the 2023 American Library Association(ALA)-accredited degree programs in Library and Information Science (LIS). The present study examined LIS course syllabi related to data librarian including course titles, course objectives, course descriptions, weekly topics and assignments. ALA-accredited LIS programs offer various courses in data librarianship such as data management and curation, data analysis and visualization, metadata, information services, research methods, library management, academic libraries, computer programming and databases. This study collected 184 syllabi from the ALA-accredited LIS programs and selected and analyzed 127 syllabi that are related to data librarianship. The study examined 3,045 course titles, 2,559 course description from 61 LIS degree programs overseas, and 1,330 course titles from 37 LIS degree programs in Korea. This study found that LIS degree programs both in Korea and overseas offer various courses for data librarians. The researcher hopes the findings of this study will be used as a starting point to develop or redesign courses related to data librarianship in the information field.

How to Identify Customer Needs Based on Big Data and Netnography Analysis (빅데이터와 네트노그라피 분석을 통합한 온라인 커뮤니티 고객 욕구 도출 방안: 천기저귀 온라인 커뮤니티 사례를 중심으로)

  • Soonhwa Park;Sanghyeok Park;Seunghee Oh
    • Information Systems Review
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    • v.21 no.4
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    • pp.175-195
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    • 2019
  • This study conducted both big data and netnography analysis to analyze consumer needs and behaviors of online consumer community. Big data analysis is easy to identify correlations, but causality is difficult to identify. To overcome this limitation, we used netnography analysis together. The netnography methodology is excellent for context grasping. However, there is a limit in that it is time and costly to analyze a large amount of data accumulated for a long time. Therefore, in this study, we searched for patterns of overall data through big data analysis and discovered outliers that require netnography analysis, and then performed netnography analysis only before and after outliers. As a result of analysis, the cause of the phenomenon shown through big data analysis could be explained through netnography analysis. In addition, it was able to identify the internal structural changes of the community, which are not easily revealed by big data analysis. Therefore, this study was able to effectively explain much of online consumer behavior that was difficult to understand as well as contextual semantics from the unstructured data missed by big data. The big data-netnography integrated model proposed in this study can be used as a good tool to discover new consumer needs in the online environment.

Suggestion of Computational Thinking-Scientific Inquiry (CT-SI) Model through the Exploration of the Relationship Between Scientific Problem Solving Process and Computational Thinking (과학적 문제해결과정과 컴퓨팅 사고의 관련성 탐색을 통한 컴퓨팅 사고 기반 과학 탐구(CT-SI) 모형의 제안)

  • Hwang, Yohan;Mun, Kongju
    • Journal of Science Education
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    • v.44 no.1
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    • pp.92-111
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    • 2020
  • The 2015 revised science curriculum and NGSS (Next Generation Science Standard) suggest computational thinking as an inquiry skill or competency. Particularly, concern in computational thinking has increased since the Ministry of Education has required software education since 2014. However, there is still insufficient discussion on how to integrate computational thinking in science education. Therefore, this study aims to prepare a way to integrate computational thinking elements into scientific inquiry by analyzing the related literature. In order to achieve this goal, we summarized various definitions of the elements of computational thinking and analyzed general problem solving process and scientific inquiry process to develop and suggest the model. We also considered integrated problem solving cases from the computer science field and summarized the elements of the Computational Thinking-Scientific Inquiry (CT-SI) model. We asked scientists to explain their research process based on the elements. Based on these explanations from the scientists, we developed 'Problem-finding' CT-SI model and 'Problem solving' CT-SI model. These two models were reviewed by scientists. 'Problem-finding' model is relevant for selecting information and analyzing problems in the theoretical research. 'Problem solving' is suitable for engineering problem solving process using a general research process and engineering design. In addition, two teachers evaluated whether these models could be used in the secondary school curriculum. The models we developed in this study linked with the scientific inquiry and this will help enhance the practices of 'collecting, analyzing and interpreting data,' 'use of mathematical thinking and computer' suggested in the 2015 revised curriculum.

The Effect of a Chest CT Scan on the Treatment and Diagnosis of Major Blunt Chest Trauma (흉부 둔상환자에서 흉부전산화단층촬영이 진단과 치료에 미치는 영향)

  • Park, Il-Hwan;Oh, Joong-Hwan;Lee, Chong-Kook
    • Journal of Chest Surgery
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    • v.42 no.2
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    • pp.226-232
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    • 2009
  • Background: Blunt chest trauma accounts for 90% of all chest traumas in Europe and the United States and this causes 20% of all trauma-related deaths. The major cause of morbidity and mortality after blunt chest trauma is undetected injuries. For this reason, chest computerized tomography has gained popularity for the evaluation of trauma, but it is expensive and it exposes patients to radiation. This study identified the clinical features associated with the diagnosic information obtained on a CT chest scan, as compared with a standard chest X-ray, for patients who sustained blunt trauma to the chest. This study also evaluated the role of a routine computed tomographic (CT) scan for these patients. The patients who had chest computed tomography done after the initial chest x-ray were analyzed separately for the presence of occult injuries. Material and Method: We studied 100 consecutive patients from November 2006 to July 2007: 74 patients after motor vehicle crashes and 26 patients after a fall from a height >2m. Simultaneous with the initial clinical evaluation, an anteroposterior chest radiograph and a helical chest CT scan were obtained for all the patients. The data extracted from the medical record included the vital signs, the interventions and the type and severity of injury (RTS). Result: Among the 100 cases, 79 patients showed at least more than one pathologic sign on their chest radiograph, and 21 patients had a normal chest radiograph. For 17 of the patients who had a normal chest X ray, the CT scan showed multiple injuries, which were pneumothorax, hemothorax, lung contusion, sternal fracture etc. This represents that a CT scan is statistically superior to a chest radiograph to diagnose the pathologic signs. But on the other hand, as for treatment, only 31 patients were diagnosed by CT scan and they were treated with chest tube insertion ect. 42 patients needed ony conservative management without invasive thoracosurgical treatment such as chest tube insertion or open thoracotomy. 27 patients were treated based on the diagnosis made by the chest radiograph and physical examination. Conclusion: Chest computerized tomography was significantly more effective than routine chest X-ray for detecting lung contusion, pneumothorax and mediastinal hematoma, as well as fractured ribs, scapula and, sternum. Although the occult findings increased, the number of patients who needed treatment was small. Therefore, we suggest making selective use of a CT scan to avoid its overuse in ERs.

The study on payment system improvement in Korean firms : The impacts of stock options on pay equity, job attitude and intention to turnover (한국 기업의 보상제도 개선을 통한 경쟁력 제고 방안 : 스톡옵션의 부여에 관한 인식과 보상공정성, 직무태도 및 이직의도와의 관계에 관한 연구)

  • Cha, Sung-Ho;Yang, Dong-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.2
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    • pp.267-278
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    • 2011
  • This study examines the relationship among stock options, pay equity, organizational commitment. Employees who received stock options tend to perceive their pay more equitable and the tendency shows a positive relationship among the amount of stock options and the equity perception. Also employees who received stock options perceive greater procedural equity, as they recognize stock options are awarded to many employees. However, the perception of stock options was not significantly associated with organizational commitment, turnover intention, and pay satisfaction. In 2003, the study surveyed 115 employees who received stock options in 10 publicly owned Korean firms that introduced stock option plans. The statistical analysis leads to the conclusions as follows. First, as the number of stock options increases, the receiver tends to perceive that pay system is more distributively equitable. Second, as the number of stock option receivers increases, the employees perceive the pay system more procedurally equitable. Third, stock option payments don't ensure that it improves pay satisfaction, turnover intention, and organizational commitment. This study shows a positive relationship that stock options work favorably in terms of pay equity, but the effect doesn't seem to be widely positive. The reason is that the introduction of stock options in domestic firms has been made only recently after the foreign exchange crisis in the late 1990s. More experiments and design issues should be discussed for the future.