• Title/Summary/Keyword: 바이오 연구데이터플랫폼

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A Study on the Strategic NSDI Model for Developing Countries based on Korean Experiences (한국의 경험을 통한 개발도상국 NSDI 전략적 구축 모델에 관한 연구)

  • Kim, Eun Hyung
    • Spatial Information Research
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    • v.21 no.6
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    • pp.11-21
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    • 2013
  • This study aims to establish a strategic NSDI (National Spatial Data Infrastructure) model for developing countries based on good practices in the Republic of Korea. The Republic of Korea is a unique country in the world, which has become a developed country from a recipient of international aid since the Korean War in 1950. The rapid economic growth can be mostly attributed to the IT technologies and the Republic of Korea's NSDI efforts as a good practice could provide useful lessons for developing countries. This study consists of theoretical reviews, interviews of Korean NSDI experts, analysis for lessons learned, a summary of the lessons in terms of Six NSDI components and finally a strategic NSDI model for developing countries. The NSDI model is structured by (1) implementation strategies suggested for geospatial data, capacity building, geospatial platform, and cost-effective management with partnership, (2) a roadmap of important NSDI tasks and activities, and finally, (3) a harmonized approach for successful NSDI implementation.

Optimization of Early-phase Ship Design using Set-Based Design and Genetic Algorithm (집합기반설계와 유전자알고리즘을 이용한 초기단계 함정설계 최적화)

  • Park, Jin-Won
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.10
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    • pp.486-492
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    • 2019
  • The system-based approach is needed to select an optimal mix of weapon systems and ship platform among a variety of design alternatives with the uncertainties of the initial required operational capability. In the early-phase design, which included a feasibility study and concept design, it is possible to cause problems when a review of the operational concept, database development, and systematic design are not done, thereby producing uncertain and unstable requirements. To select the best solution without trial-and-error, the U.S. navy has applied the set-based method for the early-phase design of a new ship-to-shore connector. The ship synthesis model plays an important role in applying the set-based method, but only a few countries possess this model and have prohibited this model from being transferred to other countries. This paper suggests a set-based method using a genetic algorithm and decision-making theory through benchmarking existing ship data. The algorithm was verified using the DDG-51 class ship synthesis model to optimize the weapon system design, which has been released for research purposes.

A Transdisciplinary and Humanistic Approach on the Impacts by Artificial Intelligence Technology (인공지능과 디지털 기술 발달에 따른 트랜스/포스트휴머니즘에 관한 학제적 연구)

  • Kim, Dong-Yoon;Bae, Sang-Joon
    • Journal of Broadcast Engineering
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    • v.24 no.3
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    • pp.411-419
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    • 2019
  • Nowadays we are not able to consider and imagine anything without taking into account what is called Artificial Intelligence. Even broadcasting media technologies could not be thought of outside this newly emerging technology of A.I.. Since the last part of 20th century, this technology seemingly is accelerating it's development thanks to an unbelievably enormous computational capacity of data information treatments. In conjunction with the firmly established worldwide platform companies like GAFA(Google, Amazon, Facebook, Apple), the key cutting edge technologies dubbed NBIC(Nanotech, Biotech, Information Technology, Cognitive science) converge to change the map of the current civilization by affecting the human relationship with the world and hence modifying what is essential in humans. Under the sign of the converging technologies, the relatively recently coined concepts such as 'trans(post)humanism' are emerging in the academic sphere in the North American and Major European regions. Even though the so-called trans(post)human movements are prevailing in the major technological spots, we have to say that these terms do not yet reach an unanimous acceptation among many experts coming from diverse fields. Indeed trans(post)humanism as a sort of obscure term has been a largely controversial trend. Because there have been many different opinions depending on scientific, philosophical, medical, engineering scholars like Peter Sloterdijk, K. N. Hayles, Neil Badington, Raymond Kurzweil, Hans Moravec, Laurent Alexandre, Gilbert Hottois just to name a few. However, considering the highly dazzling development of artificial intelligence technology basically functioning in conjunction with the cybernetic communication system firstly conceived by Nobert Wiener, MIT mathematician, we can not avoid questioning what A. I. signifies and how it will affect the current media communication environment.

Deep learning algorithms for identifying 79 dental implant types (79종의 임플란트 식별을 위한 딥러닝 알고리즘)

  • Hyun-Jun, Kong;Jin-Yong, Yoo;Sang-Ho, Eom;Jun-Hyeok, Lee
    • Journal of Dental Rehabilitation and Applied Science
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    • v.38 no.4
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    • pp.196-203
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    • 2022
  • Purpose: This study aimed to evaluate the accuracy and clinical usability of an identification model using deep learning for 79 dental implant types. Materials and Methods: A total of 45396 implant fixture images were collected through panoramic radiographs of patients who received implant treatment from 2001 to 2020 at 30 dental clinics. The collected implant images were 79 types from 18 manufacturers. EfficientNet and Meta Pseudo Labels algorithms were used. For EfficientNet, EfficientNet-B0 and EfficientNet-B4 were used as submodels. For Meta Pseudo Labels, two models were applied according to the widen factor. Top 1 accuracy was measured for EfficientNet and top 1 and top 5 accuracy for Meta Pseudo Labels were measured. Results: EfficientNet-B0 and EfficientNet-B4 showed top 1 accuracy of 89.4. Meta Pseudo Labels 1 showed top 1 accuracy of 87.96, and Meta pseudo labels 2 with increased widen factor showed 88.35. In Top5 Accuracy, the score of Meta Pseudo Labels 1 was 97.90, which was 0.11% higher than 97.79 of Meta Pseudo Labels 2. Conclusion: All four deep learning algorithms used for implant identification in this study showed close to 90% accuracy. In order to increase the clinical applicability of deep learning for implant identification, it will be necessary to collect a wider amount of data and develop a fine-tuned algorithm for implant identification.

User Perceptions of a Digital Archive for Content Creation: Focused on the Korea Creative Content Agency (KOCCA)'s 'Culturing' (창작 목적 디지털 아카이브 콘텐츠 활용에 대한 이용자 인식 연구 - 한국콘텐츠진흥원 컬처링(Culturing) 웹 사이트를 중심으로 -)

  • Park, Yong Min;Kim, Yang-woo
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.31 no.1
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    • pp.285-310
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    • 2020
  • A significant number of studies have been conducted on user perceptions of archive and record contents for the National Archives of Korea (NAK) and local record centers in the field of archives and records management in Korea. Yet, there has not been such a research on the use of digital archive contents designed for contents creation. Accordingly, this study investigated user perceptions of the use of the contents on the Korea Creative Content Agency (KOCCA)'s Culturing archive designed for creation purposes. A survey was conducted, examining the user's degree of interests, the expected user preference of the use and the expected extent of help by the contents of the archive. For the analyses of the survey data, this study performed one-way ANOVA for the comparative analyses of the means related to the subjects' general characteristics and the perceptions, along with cross-tabulation analyses for the association among the same items and nominal variables related to perceptions. On the basis of these analyses, this study suggests the following: ① to supplement the contents of the archive; ② to design customized interfaces and to enhance the readability; ③ to reinforce site PRs for large portal sites and creators' groups.

Algorithm to Search for the Original Song from a Cover Song Using Inflection Points of the Melody Line (멜로디 라인의 변곡점을 활용한 커버곡의 원곡 검색 알고리즘)

  • Lee, Bo Hyun;Kim, Myung
    • KIPS Transactions on Software and Data Engineering
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    • v.10 no.5
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    • pp.195-200
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    • 2021
  • Due to the development of video sharing platforms, the amount of video uploads is exploding. Such videos often include various types of music, among which cover songs are included. In order to protect the copyright of music, an algorithm to find the original song of the cover song is essential. However, it is not easy to find the original song because the cover song is a modification of the composition, speed and overall structure of the original song. So far, there is no known effective algorithm for searching the original song of the cover song. In this paper, we propose an algorithm for searching the original song of the cover song using the inflection points of the melody line. Inflection points represent the characteristic points of change in the melody sequence. The proposed algorithm compares the original song and the cover song using the sequence of inflection points for the representative phrase of the original song. Since the characteristics of the representative phrase are used, even if the cover song is a song made by modifying the overall composition of the song, the algorithm's search performance is excellent. Also, since the proposed algorithm uses only the features of the inflection point sequence, the memory usage is very low. The efficiency of the algorithm was verified through performance evaluation.

Understanding and Trends of Roll-to-Roll Operation (롤투롤 공정의 이해 및 동향)

  • Yeong-Woo Ha;Gi-Hwan Kim;Dong-Chan Lim
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.37 no.1
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    • pp.36-42
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    • 2024
  • Roll-to-roll processing holds an integral position within the manufacturing landscape, and its significance reverberates across numerous industries. This versatile technology platform encompasses a diverse array of process methods and accommodates a wide spectrum of material categories, making it a cornerstone of modern production. Within this expansive domain, two commonly employed coating techniques, namely the slot die and gravure coating methods, have earned their prominence for their precision and efficiency in delivering flawless coatings. Additionally, the realm of drying processes relies heavily on thermal drying, infrared (IR) drying, and ultraviolet (UV) drying methods to expedite the transformation of materials from their liquid or semi-liquid states to solid, ready-to-use products. The undeniable importance of roll-to-roll processing lies in its ability to streamline manufacturing processes, reduce costs, and enhance product quality. This article embarks on a comprehensive journey to fathom the depth of this importance by delving into the intricacies of these common roll-to-roll process methods. Through rigorous research and meticulous data collection, we aim to shed light on the pivotal role these techniques play in shaping various industries and advancing the world of manufacturing. By understanding their significance, we can harness the full potential of roll-to-roll processing and pave the way for innovation and excellence in production.