• Current Research on Agriculture and Life Sciences
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• v.20
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• pp.19-24
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• 2002

This study was conducted to determine the optimum intervals of shelves and seed-tray layout in container for raising rice seedlings at automatic facility. The seedling characteristics were evaluated with 10-day to 20-day old seedling grown under the different intervals of nursery shelves and seed-tray arrangement in the containers. The plant height was increased as the shelf intervals in nursery containers from 17 cm to 23 cm. The difference in plant height was larger in seedlings seeded at May 10 than those at June 10 and in 20-day old seedlings as compared with 10-day old seedlings. The growth characteristics of seedlings was significantly varied with the layout intervals of nursery tray on the containers. The seedling height was shorter as the extension of layout intervals of the tray on the shelf of nursery containers, but the seedling quality was increased in the seedling which grown on the trays arranged at 3 to 5 cm intervals. The light intensity was remarkably different from the position of nursery tray in the container. The illumination intensity was the highest on the uppermost tray. However the seedling height was shorter as the raising of tray position from the lowest shelf to the highest it in nursery container. The best results based on the seedling characteristics was obtained from the seedlings which grown in the tray arranged at 3 cm interval on the ten-shelf container with 20 cm intervals.

• The KIPS Transactions:PartB
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• v.17B no.3
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• pp.255-262
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• 2010

When a system is developed, requirements document is generated by requirement analysts and then translated to formal specifications by specifiers. If a formal specification can be generated automatically from a natural language requirements document, system development cost and system fault from experts' misunderstanding will be decreased. A pronoun can be classified in personal and demonstrative pronoun. In the characteristics of requirements document, the personal pronouns are almost not occurred, so we focused on the decision of antecedent for a demonstrative pronoun. For the higher accuracy in analysis of requirements document automatically, finding antecedent of demonstrative pronoun is very important for elicitation of formal requirements automatically from natural language requirements document via natural language processing. The final goal of this research is to automatically generate formal specifications from natural language requirements document. For this, this paper, based on previous research [3], proposes an anaphora resolution system to decide antecedent of pronoun using natural language processing from natural language requirements document in Korean. This paper proposes heuristic rules for the system implementation. By experiments, we got 92.45%, 69.98% as recall and precision respectively with ten requirements documents.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.634-634
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• 2015

최근 국지성 호우와 잦은 태풍으로 인한 돌발홍수가 빈번하게 발생하여 도심지에서의 호안유실과 범람으로 많은 외수침수의 피해가 발생하고 있다. 또한 기후변화에 따른 강우량의 증가와 집중호우로 인한 홍수 피해는 지속적으로 증가할 것으로 예상됨에 따라 대하천 유역을 중심으로 홍수범람예측 연구가 활발히 진행되고 있지만 대하천을 제외한 지방 중소하천의 연구가 미비한 실정이다. 이에 본 연구에서는 지방 중소하천 중 태풍과 집중호우의 영향이 많은 제주지역의 주요 하천 중의 하나인 한천 유역을 테스트베드로 선정하여 연구를 진행하였다. 한천은 강우 시에만 유출이 발생하는 건천으로, 집중호우 시 암반하상 조건, 복개, 교각 등으로 수위가 국부적으로 급격히 상승하는 경우가 있었다. 그리고 한천 하류부에는 도심이 위치하고 있어 돌발홍수 발생 시 막대한 피해가 발생한다. 이에 따라 홍수 피해를 줄이기 위한 제도화, 정책결정 등의 구조적 해결방안과 홍수 피해의 규모와 원인을 분석하는 비구조적 해결방안에 대한 연구가 시급하다. 따라서 본 연구에서는 홍수범람 등으로 인한 홍수 피해규모를 산정하여 각 정부부처 및 유관기관, 지자체에서 빠른 정책결정을 내릴 수 있는 자료를 제공하는 목적으로 제주도의 특성을 고려한 홍수범람위험도 산정 알고리즘을 개발하고자 한다. 본 연구에서는 제주 한천유역의 단면 자료와 빈도별 홍수량 자료를 이용하여 HEC-RAS 모형으로 수리학적 흐름특성 모의를 실사하였다. 모의된 결과를 바탕으로 ArcGIS 소프트웨어인 ESRI사의 ArcMap을 이용하여 빈도별 홍수위 자료와 제주지역 수치표고모형 자료를 활용한 빈도별 홍수범람지도를 산정하고, 좌안과 우안의 제방고로부터 위험도를 산정하여 홍수범람위험도를 각각 구축하였다. 구축된 결과를 이용하여 분석하고자하는 해당 빈도의 홍수위와 홍수량이 발생할 때의 피해지역을 예측하였으며, 예측된 지역과 제주시의 공시지가 자료를 중첩하여 피해지역에 대한 피해액을 산정하였다. 본 연구의 알고리즘을 적용한 2007년 태풍 '나리' 사상의 경우와 비교한 결과, '나리' 사상의 침수 흔적도와 유사한 홍수범람지도를 획득 할 수 있었으며, 모의된 유역의 하천 복개구간을 중심으로 홍수범람이 발생한다는 점과 우안보다 좌안에서의 홍수범람위험도와 피해액이 더 크게 나타난 점 등의 홍수범람 특성을 파악할 수 있었다. 본 연구에서 제시된 기법을 이용할 경우, 홍수에 의한 취약지에 대한 제방 설계 강화, 하천의 보수 정비 등 정책적 결정에 사용될 수 있을 것이며, 실시간 자료제공, 재해정보시스템 등에 적용하여 홍수범람 피해를 줄일 수 있는 기반기술이 될 것으로 사료된다.

• Journal of Broadcast Engineering
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• v.26 no.4
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• pp.409-418
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• 2021

Conformal coating is a technology that protects PCB(Printed Circuit Board) and minimizes PCB failures. Since the defects in the coating are linked to failure of the PCB, the coating surface is examined for air bubbles to satisfy the successful conditions of the conformal coating. In this paper, we propose an algorithm for detecting problematic bubbles in high-risk groups by applying image signal processing. The algorithm consists of finding candidates for problematic bubbles and verifying candidates. Bubbles do not appear in visible light images, but can be visually distinguished from UV(Ultra Violet) light sources. In particular the center of the problematic bubble is dark in brightness and the border is high in brightness. In the paper, these brightness characteristics are called valley and mountain features, and the areas where both characteristics appear at the same time are candidates for problematic bubbles. However, it is necessary to verify candidates because there may be candidates who are not bubbles. In the candidate verification phase, we used convolutional neural network models, and ResNet performed best compared to other models. The algorithms presented in this paper showed the performance of precision 0.805, recall 0.763, and f1-score 0.767, and these results show sufficient potential for bubble test automation.

• Journal of the Korean Wood Science and Technology
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• v.47 no.2
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• pp.229-238
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• 2019

Various wood defects occur during tree growing or wood processing. Thus, to use wood practically, it is necessary to objectively assess their quality based on the usage requirement by accurately classifying their defects. However, manual visual grading and species classification may result in differences due to subjective decisions; therefore, computer-vision-based image analysis is required for the objective evaluation of wood quality and the speeding up of wood production. In this study, the SIFT+k-NN and CNN models were used to implement a model that automatically classifies knots and analyze its accuracy. Toward this end, a total of 1,172 knot images in various shapes from five domestic conifers were used for learning and validation. For the SIFT+k-NN model, SIFT technology was used to extract properties from the knot images and k-NN was used for the classification, resulting in the classification with an accuracy of up to 60.53% when k-index was 17. The CNN model comprised 8 convolution layers and 3 hidden layers, and its maximum accuracy was 88.09% after 1205 epoch, which was higher than that of the SIFT+k-NN model. Moreover, if there is a large difference in the number of images by knot types, the SIFT+k-NN tended to show a learning biased toward the knot type with a higher number of images, whereas the CNN model did not show a drastic bias regardless of the difference in the number of images. Therefore, the CNN model showed better performance in knot classification. It is determined that the wood knot classification by the CNN model will show a sufficient accuracy in its practical applicability.

• Journal of the Korean Society of Marine Environment & Safety
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• v.25 no.4
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• pp.433-440
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• 2019

Offshore working environments such as ships, offshore oil and gas plants, and offshore wind turbines are isolated and directly exposed to rough seas, which pose high risks of safety accidents. Therefore, all workers in offshore plants should be able to cope with emergency situations and must be qualified according to relevant laws and regulations such as the International Convention on Standards of Training, Certification and Watchkeeping for Seafarers (STCW Convention) and Offshore Petroleum Industry Training Organization (OPITO) standards. In particular, marine workers should be able to perform cardiopulmonary resuscitation (CPR) in isolated locations or enclosed and confined spaces such as those in life-boats, life-rafts, rescue-boats, etc. Because the floor material is made of rubber, it may be difficult to perform chest compressions in life-rafts used to escape from emergency situations in ships or offshore plants. Chest compressions performed on life-rafts may reduce the accuracy of CPR and increase fatigue for those providing aid. To measure the accuracy and fatigue of those performing CPR in life-rafts, 15 experimenters with more than five years of experience as first aid instructors were exposed to different CPR environments in a marine safety training center equipped with an artificial wave generator. The results showed that the accuracy of CPR in the classroom was 99.6 %, but that in various life-raft environments was only 84 %. T-verification of the two sites confirmed the reduced accuracy of CPR performed on life-rafts. CPR on life-rafts should be performed in groups of two and with the use of automated chest compression devices.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.211-219
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• 2019

Accomplishing information system, techniques, methodology have been studied continuously and give much help to auditors who are using them. Additionally audit report which is the conclusion of accomplishing ISA(information system audit), has law of a basis and phase with ITA/EA Law(Electronic Government Law). This paper is for better quality of ISA report. But it has more errors about sentence and Grammatical structures. In this paper, to achieve quality improvement objectives, it is necessary to recognize the importance of an audit report by investigating on objectives, functionality, structures and usability of a report firstly, and a legal basis, the presence of report next. Several types of audit reports were chosen and the reports errors were divided into several categories and analyzed. After grasping reasons of those errors, the methods for fixing those errors and check-lists model was provided. And based on that foundation, the effectiveness validation about real audit reports was performed. The necessity for efforts to improve the quality of audit reports was emphasized and further research subject(AI Automatic tool) of this paper conclusion. We also expect this paper to be useful for the organization to improve on ISA in the future.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.256-259
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• 2016

The growth of mobile devices in Internet of Things (IoT) leads to a number of intelligent buildings related IoT applications. For instance, home automation controlling system uses client system such web apps on smartphone or web service to access the home server by sending control commands. The home server receives the command, then controls for instance the light system. The gateway based RESTful technology responsible for handling clients' requests attests an internet latency in case a large number of clients' requests submit toward the gateway increases. In this paper, we propose the design tasks of the IoT gateway for handling concurrency events. In the procedure of designing tasks, concurrency is best understood by employing multiple levels of abstraction. The way that is eminently to accomplish concurrency is to build an object-oriented environment with support for messages passing between concurrent objects. We also investigate the performance of event-driven architecture for building IoT gateway using node.js on one side and communication protocol based message-oriented middleware known as XMPP to handle communications of intelligent building control devices connected to the gateway through a centralized hub. The Node.JS is 40% faster than the traditional web server side features thread-based approach. The use of Node.js server-side handles a large number of clients' requests, then therefore, reduces delay in performing predefined actions automatically in intelligent building IoT environment.

• Journal of Korea Water Resources Association
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• v.52 no.8
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• pp.515-529
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• 2019

Geospatial information for river network and watershed boundary have played a fundamental roles in terms of river management, planning and design, hydrological and hydraulic analysis. Irrespective of their importance, the lack of punctual update and improper maintenance in currently available river-related geospatial information systems has revealed inconsistency issues between individual systems and spatial inaccuracy with regard to reflecting dynamically transferring riverine geography. Given that digital elevation models (DEMs) of high spatial resolution enabling to reproduce precise river network are only available adjacent to national rivers, DEMs with poor spatial resolution lead to generate unreliable river network information and thereby reduce their extensible applicabilities. This study first of all evaluated published spatial information available in Korea with respect to their spatial accuracy and consistency, and also provides a methodology and tool to modify existing low resolution of DEMs by means of striation of conventional or digitized river network to replicate input river network in various degree of further delineation. The tool named FSND was designed to be operated in ArcGIS ModelBuilder which ensures to automatically simulate river network striation to DEMs and delineation with different flow accumulation threshold. The FNSD was successfully validated in Seom River basin to identify its replication of given river network manually digitized based on recent aerial photograph in conjunction with a DEM with 30 meter spatial resolution. With the derived accuracy of reproducibility, substantiation of a various order of river network and watershed boundary from the striated DEM posed tangible possibility for highly extending DEMs with low resolution to be capable of producing reliable riverine spatial information subsequently.

• Korean Journal of Construction Engineering and Management
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• v.20 no.5
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• pp.52-60
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• 2019

The APR1400 is a 1400MWe nuclear power plant developed through national technology development project over a period about 10years. Approximately 65,000 design drawings are produced for APR1400 construction. In order to maintain consistency among numerous drawings, the highest level of design bases drawings (DBDs) are created according to design bases and this is used in the subsequent design. However, DBDs are produced and managed on a document basis and they are managed various field, it was difficult to accurately reflect the design bases information in the subsequent design. Therefore, this study recognizes limitations of the document based DBDs and develops a system that can accurately reflect the design bases information to subsequent design by adopting BIM based design bases integrated information system. Especially, by introducing DBIL(Design Bases Information Layer) concept, DBIL was created and analyzed based on five design bases(Physical protection, Fire protection, Internal missile protection, Internal flood protection, Radiation protection) applied to APR1400. In the final result DBIL set and Datasheet are integrated of room, design bases information, building data(wall, slab, door, window, penetrations). So it can be used for subsequent design automation and design verification. Furthermore, it is expected that APR1400 DBILs data can be used extensively in constructability and design economics analysis through comparison with next generation nuclear power plant.