Food webs have received global attention as next-generation biomonitoring tools; however, it remains challenging because revealing trophic links between species is costly and laborious. Although a link-extrapolation method utilizing published trophic link data can address this difficulty, it has limitations when applied to construct food webs in domestic streams due to the lack of information on endemic species in global literature. Therefore, this study aimed to develop a link extrapolation-based food web model adapted to Korean stream ecosystems. We considered taxonomic similarity of predation and dominance of generalists in aquatic ecosystems, designing taxonomically higher-level matching methods: family matching for all fish (Family), endemic fish (Family-E), endemic fish playing the role of consumers (Family-EC), and resources (Family-ER). By adding the commonly used genus matching method (Genus) to these four matching methods, a total of five matching methods were used to construct 103 domestic food webs. Predictive power of both individual links and food web indices were evaluated by comparing constructed food webs with corresponding empirical food webs. Results showed that, in both evaluations, proposed methods tended to perform better than Genus in a data-poor environment. In particular, Family-E and Family-EC were the most effective matching methods. Our model addressed domestic data scarcity problems when using a link-extrapolation method. It offers opportunities to understand stream ecosystem food webs and may provide novel insights into biomonitoring.

4차 산업혁명 시대에 건설산업은 전통적인 업무 방식에서 디지털 프로세스로 전환하고 있다. 특히, 건설산업의 특성으로 인해 업무 절차의 변경에는 어려움이 따르며, 점진적인 디지털 전환 및 시행착오가 발생하고 있다. 건설현장의 안전관리 분야도 역시 이 흐름을 따라 모든 데이터의 디지털화와 자동화를 목표로 연구 및 시도가 활발히 진행되고 있다. 그러나 최근의 통계에 따르면, 건설업 안전사 고는 계속해서 발생하고 있으며, 안전사고 사망자 수도 줄지 않고 있다. 본 연구는 이러한 문제를 해결하기 위해 건설공사 안전관리 종 합정보망의 빅데이터를 대규모 언어모델 인공지능을 통해 분석하였다. 분석된 결과는 실시간으로 업데이트가 가능한 상세설계모델 로부터 위치정보와 공간적 특성을 반영하여 안전관리가 필요한 현장모델링에 정보를 맵핑하였다. 해당 연구를 통해 건설현장 안전관 리 데이터의 디지털화를 통한 시설물 및 근로자의 안전을 강화하고, 건설사고 예방 및 효과적인 교육 지시를 위한 빅데이터 기반 안전 관리 플랫폼 개발을 목표로 한다.

Land monitoring involves systematically understanding changes in land use, leveraging spatial information such as satellite imagery and aerial photographs. Recently, the integration of deep learning technologies, notably object detection and semantic segmentation, into land monitoring has spurred active research. This study developed a web service to facilitate such integrations, allowing users to analyze aerial and drone images using CNN models. The web service architecture comprises AI, WEB/WAS, and DB servers and employs three primary deep learning models: DeepLab V3, YOLO, and Rotated Mask R-CNN. Specifically, YOLO offers rapid detection capabilities, Rotated Mask R-CNN excels in detecting rotated objects, while DeepLab V3 provides pixel-wise image classification. The performance of these models fluctuates depending on the quantity and quality of the training data. Anticipated to be integrated into the LX Corporation's operational network and the Land-XI system, this service is expected to enhance the accuracy and efficiency of land monitoring.

네트워크 기술이 급속도로 발전하는 현대 시대에 웹 드라마의 등장은 젊은 세대들 에게 많은 환영을 받고 있다. 이들은 단순한 인터넷 사용자가 아니라 적극적으로 정 보를 생산하고 전달하는 역할을 담당한다. 젊은 층들은 웹 드라마를 보면서 실시간 으로 드라마 내용을 공유해 전달하고, 개인적인 의견을 제시한다. 정보화 시대에 정 보의 빠른 확산은 그 무엇보다 뛰어난 홍보 효과라 할 수 있다. 따라서 향후 중국 웹 드라마의 성장을 위해서는 젊은 층들의 요구를 반영할 필요가 있다. 아울러 웹 드라마에서도 단순히 기존 TV 드라마나 해외 콘텐츠를 재전송하기보다 중국 웹툰을 재매개한다면 이들의 시청률과 만족도 모두를 높일 수 있을 것으로 생각한다. 젊은 층에 대한 만족도 제고는 웹 드라마 홍보에도 큰 도움이 될 수 있다. 젊은 층들의 웹 드라마 만족도가 높아지면 자연스럽게 다른 계층들에게도 웹 드라마 홍보가 될 것이고, 결국 웹 드라마 시장을 지금보다 더욱 확대될 수 있을 것이다.

Purpose: This study aimed to develop a web-based video program related to abnormal mental disorder behaviors in standardized patients and verify its effectiveness for nursing students. Methods: This study consisted of pre-test and post-test for a non-equivalent control group design. The participants were 46 nursing students(experimental group: 23, control group: 23). The experimental group was trained in a video program that applied standardized patients, while the control group received traditional training. Data collected from March to June, 2020, were analyzed using IBM SPSS Statistics for Windows, version 25.0, chi-square test, Fisher's exact test, Mann-Whitney U test, and independent t-test. Results: The difference between the experimental and control groups was statistically significant in terms of learning satisfaction (Z=2.08, p=.038), learning self-efficacy(t=2.80, p=.009), motivation for transfer(t=3.45, p=.001), and clinical reasoning competence(t=2.28, p=.028). Conclusion: This study showed that a video program on abnormal mental disorder behaviors in standardized patients is an effective tool for mental health nursing education.

Korea has numerous astronomical resources, such as observational records, star maps, and a wealth of literature, covering the period from the Three Kingdoms (54 BC - 932 AD) to the Joseon Dynasty (1392 - 1910 AD). The research activities related to these resources have been limited to those by individual researchers. It is now necessary to conduct research by efficiently and systematically collecting and managing Korean astronomical records using an accessible Web environment. The purpose of this study is to complete a system that enables researchers systematically to collect and verify a large number of historical records related to astronomical phenomena in a Web environment. In 2017, a preliminary survey was conducted, and the requirements pertaining to an implementation target system were devised. In addition, a joint development plan was carried out by the developer, lasting three months in 2018. Although the system is relatively simple, it is the first system to be attempted in the historical astronomy field. In order to proceed with the systematic development, the software development methodology is applied to the entire process from deriving the requirements of researchers to completing the system. The completed system is verified through integrated function and performance tests. The functional test is repeated while modifying and testing the system based on various test scenarios. The performance test uses a performance measurement test tool that takes measurements by setting up a virtual operation environment. The developed system is now in normal operation after a one-year trial period. Researchers who become authorized to use the system can use it to verify the accuracy of data and to suggest improvements. The collected feedback will be reflected in future systems, and Korean astronomical records will be available for use internationally through a multilingual service.

본 논문은 시뮬레이터 시스템이 가지는 복잡성과 확장성 문제를 해결하기 위한 방법으로 웹 기술을 이용한 선박운항 시뮬레이터 프레임워크를 제안한다. 기존 시뮬레이터 시스템의 필수 기능을 분석하고, 이를 대체할 수 있는 웹 기반 기술을 선별하여 프레임워크를 구성하였다. 또한, 이를 바탕으로 서버와 클라이언트 핵심 기술을 구현하였으며, 이를 통합하여 웹 브라우저를 통해 사용이 가능한 선박운항 시뮬레이터 시스템의 시작품을 제작하였다. 제작된 시작품은 시험평가를 통해 시간과 장소의 제약을 받지 않고 다수의 사용자가 동시에 시뮬레이션 서비스를 이용할 수 있음을 확인하였으며, 향후 다양한 시뮬레이션 분야에 적용될 수 있기를 기대한다.

화산 분화시 분출량과 분연주 높이는 기상 자료와 함께 화산재 확산에 미치는 영향이 큰 것으로 알려져 있다. 이에 대한 영향을 분석하기 위하여 유한 차분 명시적 방법과 오일러리안 기법 기반의 화산재 확산 모형인 FALL3D를 이용하여 수치해석을 실시 할 수 있는 화산재 확산 시뮬레이션 시스템을 개발하였다. FALL3D 시뮬레이션을 통한 화산재 확산 예측을 위해서는 풍향과 풍속 등의 기상 수치 자료가 필요하며 본 시뮬레이션 시스템은 한국 기상청의 UM(Unified Model) 자료와 NCEP(National Centers for Environmental Prediction)의 자료를 원시 자료로 사용할 수 있다. 또한 원시 기상 자료의 자료 해상도를 높이는 방법으로 WRF(Weather Research and Forecasting Model) 기상 모형 시뮬레이션이 절차에 포함된다. 마지막으로 화산재 확산 결과를 해석하기 위한 분석 방법을 추가할 수 있도록 하고, 그 결과를 웹 인터페이스를 통해서 확인할 수 있도록 하였다. 본 연구에서 개발한 화산재 확산 시뮬레이션 시스템은 화산재 확산 시뮬레이션 수행, 결과 해석 처리, 해석 결과의 가시화를 자동으로 수행하여, 화산재해의 분석 능력을 크게 향상시킬 수 있을 것으로 기대한다.

Malaria is an infectious disease that cause chilling, fever and hepatosplenomegaly by protozoan in plasmodium invading red blood cell, carried by anopheles mosquitoes. Malaria is transmitting steadily in South Korea from 1993 when vivax malaria retransmission occurred to soldiers at the front line near North Korea. There are many attempts in academic fields to analyse the causes by carrying out correlation analysis considering weather elements and regional characteristics, also developing tools for analysis. However, existing analysis tools have many limitations relating multi-platform support, user associability, limitation of information and so on. This study is to improve these limitations by developing hybrid web app concepted malaria vulnerability map system. Thus, it is possible to check the real-time malaria risk information, even in mobile platforms, and maximize the support for ease of use by using the implements and game UI animation technology of mobile-specific functions. Further utilizing a frame animation technology is a game animation techniques visual representation, and visually provides a time zone of malaria risk information, it is attempted to increase the user access. The system is expected to utilized by experts in related fields and general users.

This study introduces the web-camera image processing-based natural landmark extraction method for automatic welding using 3-axis stage. The welding is a highly significant process in the industries of shipbuilding, automobile, construction, machinery, and so on. However, it has been avoided due to poor working conditions such as fume, spatter, noise, and so on. For the automatic welding system, the web-camera is used to extract the natural landmarks which can give the relative coordinate to set up the initial position of the stage for the welding process. The Canny edge and Hough transformation have been used to extract the significant points for the natural landmark extraction in this paper.

Recently, an integrated approach in insect ecology that including development of biological models and estimation of various effects using a logical model has become important. Through the biological components of ecosystem having complex temporal and spatial patterns, and complicated interactions of biotic and abiotic factors, dynamic models can be useful tools to investigate the whole ecosystems. Pollutants in terrestrial ecosystem can be transferred to insect body through insect’s sucking plant tissue, and effect on their biological properties. Trend of pollutants transfer from soil to plant root can be estimated using free ion activity model (FIAM), and distribution and accumulation in plant parts can be described by dynamic model with water potential, water translocation, and transfer rate. Biological response of plant and insect can be illustrated the dynamics model based on experiment data. The combination of these models show an overall behavior of toxicant and the interaction between plant and insect with time. The objectives of the research are to comprehensively analyze the transfer and effects of pollutant in soil, plant and insect system and to develop the assessment technique for soil ecosystem using dynamic modelling concerning the causal relationship and feedback processes. We are aimed specifically at prediction and assessment of various polluting scenarios of soil ecosystem through data collection from laboratory and field investigation, modelling and evaluation using module software programing.

기능성 교육용게임에서, 가장 이상적인 형태는 재미도 있고 교육 효과도 좋은 경우일 것이다. 본 논문에서는 성인에 비해서 집중력이 낮은 초등학생의 회화식 영어 교육을 위해서 웹 기반의 MMORPG 게임을 설계 개발 하였다. 유선 및 무선 인터넷 접속을 통하여 타인과 협동, 경쟁심을 키워주어 초등학생의 영어 학습 능력을 높여 주는 효과를 누릴 수 있게 하였다. 이를 통하여 게임 산업의 다양성을 추구하고자 한다. 또한 향후에는 스마트폰과의 연동을 위한 UI 및 게임콘텐츠 업데이트를 하고자 한다

According to the rapid evolution of information technology, the salesperson's business efficiency and faster information sharing within the enterprise that need to improve competitiveness has been increasing steadily. In general, many companies has been managed the sales through the ERP system. However, the ERP informations as a result of operating activities can not perform customer maintenance activities from strategic planning. Therefore, a series of sales activities information as corporate intellectual assets is needed strategic business solutions for managing it. In this study, the web-based SFA systems were designed for salesperson. Salespersons improve the efficiency of the business through management and improvement activities of sales information. The systematic customer information management contribute to improving the company's revenue through improved customer service satisfaction.

Industrial business environments have rapidly changed and face severe competitive challenges. The effective inventory system enables to product and deliver the products quickly for meeting due date of customer's order in this environment. This study have developed a web-based inventory system using RFID for an injection molding industry. The system analysis inventory problem issues such as inventory planning, warehouse assignment and assist to develop production scheduling. In this study, web-based inventory system using Java language and RFID technology is proposed and implemented. As the result of implementation of the system, we expected that it manages to inventory planning continually and systematically.

This study developed learning content and web pages providing information on Health/Functional Food (HFF) for consumers who come across information indiscriminately from a variety of advertising media such as the Internet and TV. After coming to an understanding of the current situation through literature review and fact-finding, we collected information and commercials on HFF that are exposed to consumers. Focusing on advanced countries such as the U.S. and Japan, we examined the current status of consumer education programs, especially in terms of HFF industry. Further, we referred to the guidelines for consumer education provided by the U.S. Food and Drug Administration and monitored the information from a web site that sells dietary supplementary products in the U.S. In addition, we surveyed consumer information on foods for special health use provided by the Japanese National Institute of Health & Nutrition, and investigated a DB of raw materials of function food (functionality/safety documents). Upon a literature review, the 13 functions of HFF were classified. As a result of conducting interviews with consumers, we developed content that was fit for consumers’ perspectives. Through this research, we established a web page to enable people to search for information by function and then by raw material. After searching for information by raw materials, searching products by raw materials can be done in cooperation with E-marketplace. Subsequently developed content and education programs were offered on an HFF web page, which has been in operation since 2005. Therefore, it is expected that appropriate information on HFF will be available.

본 연구에서는 자동기상관측시스템(AWS)을 이용하여 기상요소의 관측 자료를 수집하고 실시간으로 그 자료를 제공하는 웹 페이지를 개발하였다. 이 시스템은 실시간으로 자료를 제공하면서 동시에 데이터베이스(DB)로 누적하여, 사용자의 요청에 따라 과거의 기상 자료를 파일로 제공하는 기능도 있다. 완성된 페이지를 이용하여 학교 현장에서 지구과학 교과의 기상분야 탐구학습에 성공적으로 활용하였다. 이 연구 결과, 기상 관측 자료를 실시간으로 제공함으로써 기상 분야 탐구학습의 현장감을 높일 수 있게 되었다. 또 누적된 과거 기상 자료를 이용함으로써 시간규모가 너무 길어서 실질적인 탐구학습이 어렵던 지구과학 교과의 제약을 일부 극복하게 되었다.

Logistic support activities for weapon systems play an important role at maintenance activities in modern warfares. These activities are essential for keeping weapon systems ready at all time. However, maintenance supplies can be delayed without a proper