• 한국작물학회:학술대회논문집
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• 한국작물학회 2022년도 추계학술대회
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• pp.81-81
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• 2022

Recently, many studies on big data based smart farming have been conducted. Research to quantify morphological characteristics using image data from various crops in smart farming is underway. Rice is one of the most important food crops in the world. Much research has been done to predict and model rice crop yield production. The number of productive tillers per plant is one of the important agronomic traits associated with the grain yield of rice crop. However, modeling the basic growth characteristics of rice requires accurate data measurements. The existing method of measurement by humans is not only labor intensive but also prone to human error. Therefore, conversion to digital data is necessary to obtain accurate and phenotyping quickly. In this study, we present an image-based method to predict leaf number and evaluate tiller number of individual rice crop using YOLOv5 deep learning network. We performed using various network of the YOLOv5 model and compared them to determine higher prediction accuracy. We ako performed data augmentation, a method we use to complement small datasets. Based on the number of leaves and tiller actually measured in rice crop, the number of leaves predicted by the model from the image data and the existing regression equation were used to evaluate the number of tillers using the image data.

• 한국군사과학기술학회지
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• 제20권2호
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• pp.264-271
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• 2017

Link-K message is the Tactical Data Link message standard developed by the Agency for Defense Development which is optimized for the Joint Operation of ROK Armed Force. KMTF message is the standard message format of Battle Management Information System. Interconversion and propagation between these messages are definitely needed to have efficient warfare such as situation data propagation using network, the convergence of collected situation data, common situational awareness, cooperative engagement. Therefore, this study suggests a way of rule and process for format conversion between Link-K and KMTF messages.

• 한국보육지원학회지
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• 제16권5호
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• pp.155-171
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• 2020

Objective: The purpose of this study is to analyze the structural relations between infant teachers' career, efficacy, sensitivity, and the development of their professionalism. Methods: Data were collected from 320 infant teachers working at day care centers in Gyeonggi-do and Seoul. The collected data were applied to SPSS 22.0 program. With the data, correlation analysis and structural equation model analysis were conducted. Results: Firstly, infant teachers' career didn't influence the development of their professionalism directly, but indirectly affected their efficacy and sensitivity. Secondly, the variables that directly affected the development of their professionalism were teacher efficacy and sensitivity. Thirdly, teacher efficacy and sensitivity had full mediation between their career and the development of professionalism. Conclusion/Implications: Infant teachers' career affected the development of their professionalism through teacher efficacy and sensitivity. Based on the result, a plan for developing infant teachers' professionalism was proposed, and suggestions of follow-up research were discussed.

• 공학교육연구
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• 제21권6호
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• pp.90-98
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• 2018

This paper proposes a framework of engineering education for product development processes based on product data management (PDM) software and 3D printing. The PDM software supports the product development process-oriented educational coursework, collaborative team projects and project-based learning environment. The 3D printing supports the prototyping step in the product development process and helps participants consider physical realization of their designs during the product design and development phases. The framework was implemented in an introductory course for engineering students to product design and development, and author found that it is important to support rich communication among participants including lecturers, teaching assistants and students to enhance the quality of education and to overcome the burden of learning various computer-aided tools and 3D printing techniques needed for the framework.

• 자원환경지질
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• 제31권6호
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• pp.557-567
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• 1998

In order to utilize the data obtained during the deep-sea resources exploration program, the analysis of data structure and database were conducted to develop an appropriate data operating system called Deep-sea Database System. The Relation Data Base Management System, RDBMS, was chosen as a data managing system and the MS Access$^{TM}$ as a DB engine, and the MapInfo$^{TM}$ software as GIS tools. Problems in networking and security were detected and solved during the operation test. Accordingly, development of standardized operative procedure was proposed in obtaining raw data. This proposal will also be reflected in the subsequent phase of the deep-sea program. The Deep-sea Database System could be applied to the selection of potential mining sites and the estimation of economical efficiency over th KODOS (Korea Deep Ocean Study) region. It is also expected that this system might improve the efficiency of detail survey and help in the relinquishment process as a fulfillment of the obligation as a pioneer investor.

• 산업경영시스템학회지
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• 제41권1호
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• pp.128-139
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• 2018

As The Fourth Industrial Revolution and Intelligent Information Age came into full-scale, the policy of open government data has become a hot topic for each country. The United States, the United Kingdom, and other countries are shifting policy direction to "creating value" of open government data. Also, in the age of the digital economy where the data market is soaring, open government data is gradually being recognized as a new raw material for new business and start-ups. In addition, Korea ranked first in the OECD open government data evaluation twice in a row, and was highly evaluated in the international evaluation. However, domestic firms are still lacking in qualitative openness of government data, data is dispersed among institutions, lack of public-private data linkage, and development of app-oriented development. This study attempts to analyze major national policies for the creation of a data ecosystem that considers data lifecycle, from production to storage, distribution and utilization of data. First, the target countries were the leading public data countries among the OGP member countries, the USA, the UK, Australia and Canada. The results of this study are as follows. As a result of analyzing the results and comparing Korea's policies, it was concluded that most of Korea is superior in open government data policy. However, improvement of data quality, development of open data portal as an open platform, support for finding various users including apps and web development companies, and cultivation of open government data utilizing personnel are analyzed as policy issues. In addition, the direction of policy for the balanced ecosystem of Korea is presented together.

• 한국정보통신학회논문지
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• 제21권6호
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• pp.1174-1182
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• 2017

웹상에서 이질적 형태의 다양한 데이터를 개방, 공유하여 차세대 데이터웹을 실현하고자 하는 연구개발이 활발하게 수행되고 있다. 이를 위해 표준 데이터 모델로 온톨로지 기반의 LOD가 개발되었다. LOD기반 시스템을 효과적으로 개발하기 위해서는 전문화된 인스턴스 생성 시스템이 필수적으로 요구되고 있다. 본 논문은 LOD 시스템의 요구사항과 다양한 응용분야의 개발환경을 고려하여, LOD 인스턴스 개발에 적합한 i-Manager를 설계 구현하였다. i-Manager는 LOD 인터페이스 시트를 이용해서 온톨로지와 인스턴스 계층을 분리하고, 인스턴스 편집/저장, 시각화, LOD 질의 처리 등 LOD 인스턴스 개발에 전문화된 기능들을 제공한다. 본 논문은 LOD 인스턴스 개발의 새로운 방향을 제시하고 있으며, 구현된 i-Manager는 다양한 분야에서 LOD 개발 범용환경으로 활용할 수 있다.

• 유통과학연구
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• 제22권3호
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• pp.49-58
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• 2024

Purpose: Research on financial development plays a crucial role in guiding and implementing policies for both financial development and economic growth. This study aims to evaluate the impact of financial development on the economic growth of Southeast Asian countries. Research design, data and methodology: The research utilizes data from 11 Southeast Asian countries from 2015 to 2022. Financial development data is proxied by credit distribution in private sector. Results: Based on the analysis using the FGLS model, it indicates that financial development has a positive impact on the economic growth of Southeast Asian countries. In addition, the study also examines the impact of state investment costs and FDI investment on economic growth. The results also show that foreign direct investment flows still play an important role in Southeast Asian countries (FDI has a positive impact on economic growth). State investment costs also impact economic growth, showing that the development of public investment also brings good development to countries. Conclusions: These results suggest that credit policies for financial development in general, and the development of private credit in particular, play a significant role in these countries. Building a system to promote the activities of private sector economies will help stimulate the economic development of Southeast Asian countries.

• 한국지리정보학회지
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• 제14권3호
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• pp.22-35
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• 2011

지형적인 영향으로 큰 조차가 발생하여 조력발전에 유리한 입지를 보유하고 있는 인천만을 대상으로 2006년부터 조력에너지 실용화 기술개발을 위한 연구가 지속적으로 추진되고 있다. 이러한 조력에너지 개발을 위해서는 조력발전 시설물의 최적입지를 결정하고 환경영향을 최소화하는 최적의 대안을 도출할 필요가 있다. 이를 효율적으로 수행하기 위해서는 개발과 보전에 관련된 다양한 공간요소를 체계적으로 관리하고 활용할 수 있는 공간정보체계가 필수적이다. 본 연구를 통해 조력에너지 개발을 위한 공간 데이터는 자료 특성에 따라 크게 세 가지 데이터 군으로 정의 가능하였다. 핵심 데이터 군으로는 조석, 조류 뿐 아니라 파랑, 침식, 퇴적 요소와 같은 공간데이터로 정의된다. 또한 지형도, 시설물도, 수심과 같은 기본 데이터 군과 해양생태와 해양환경 등 각종 주제도 성격의 참조 데이터 군으로 정의된다. 본 연구의 주요 목적은 이러한 공간 데이터 구성 요소의 정의를 통해 필수적 데이터모델과 선택적 데이터모델로 분류한 개념적 공간데이터 모델링 방법론을 정립하고자 함이다.

• 한국IT서비스학회지
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• 제11권4호
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• pp.171-180
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• 2012

Since software and hardware integration has became a strategic tool for companies to innovate their products, an information system that can comprehensively manage software and hardware integrated product development is critical for the current product development. This paper proposed a product data model that can support modules of related software and hardware parts in Product Data Management(PDM) integrated with Software Configuration Management(SCM). The model allows engineers to define software and hardware product structure independently, and support the integration module that can summon related software and hardware parts to build a comprehensive module for collaboration. Through the integration module, engineers can identify and examine the effectiveness of their design alternatives to other related parts form different disciplines. The product data model was implemented as a prototype PDM system and tested with an example robotics product.