• Smart Media Journal
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• v.11 no.4
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• pp.9-18
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• 2022

Recently, research and system using AI is rapidly increasing in various fields. Smart farm using artificial intelligence and information communication technology is also being studied in agriculture. In addition, data-based precision agriculture is being commercialized by convergence various advanced technology such as autonomous driving, satellites, and big data. In Korea, the number of commercialization cases of facility agriculture among smart agriculture is increasing. However, research and investment are being biased in the field of facility agriculture. The gap between research and investment in facility agriculture and open-air agriculture continues to increase. The fields of fruit trees and plant factories have low research and investment. There is a problem that the big data collection and utilization system is insufficient. In this paper, we are proposed the system for determining the fruit tree growth stage using a deep learning-based object detection model. The system was proposed as a hybrid app for use in agricultural sites. In addition, we are implemented an object detection function for the fruit tree growth stage determine.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.6
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• pp.1317-1322
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• 2021

Software in the era of the Fourth Industrial Revolution is becoming a key foundation in an intelligent information society. Therefore, it is necessary to study the new direction of manpower training and education that can cope with the times. To this end, the Ministry of Education reorganized the curriculum and is implementing software education based on a logical problem-solving process based on computing thinking skills rather than acquiring general ICT knowledge. However, there is a lack of securing high-quality educational content for software education, and there is also a lack of teaching aids that can be taught in connection with advanced IT technologies. To overcome this, this paper proposes the development of external expansion devices to expand educational content and functions capable of convergent software education such as artificial intelligence using coding robots for software education. Through this, effective software education is possible by improving the curriculum of the existing simple problem-solving method and developing various learning materials.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.670-675
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• 2022

In the era of the 4th industrial revolution, everything is data-centric. The type and amount of data may be central, and new data may be required in special circumstances. As 3D printers are used in various fields, there are fields that are newly challenged. In particular, in the medical field, new attempts that have not been considered before are taking place. This paper is a study to enable research in fields that require physical properties of the human body. In the meantime, research using human organs has mainly used the materials made of silicon. We measure the physical properties of the human body from cadavers, apply these characteristics to develop new materials, and develop artificial organs with 3D printers. Using the artificial organs made in this way, you can practice surgery with a robot that removes kidney stones. In this paper, we would like to introduce a series of research processes to develop advanced materials similar to human organs.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.301-313
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• 2021

The automotive industry is facing a paradigm shift, changing from owning to sharing and from manufacturing to service. However, it is hard to conclude that the economic value of smart mobility service is always positive to users. Cost related to owing or share a vehicle is very hard to estimate from the perspective of potential users as well as the benefit of the service. Focusing on the cost side of the story, this study develops a cost estimating model based on three main factors: electrification, advanced driving assistant systems (ADAS) function, and participation of ride-sharing service. As a result of the model analysis, low cost was estimated as a result when receiving cost benefits such as electrification and ride-sharing participation. Various factors were analyzed through sensitivity analysis also. These results can provide useful insights into the cost prediction and strategies for potential users and manufacturers on smart mobility service market.

• Journal of Internet of Things and Convergence
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• v.8 no.1
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• pp.65-72
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• 2022

The Internet of Things (IoT) provides data convergence and sharing functions, and IoT technology is the most fundamental core technology in creating new services by convergence of various cutting-edge technologies. However, there are different classification systems for the Internet of Things, and when it is limited to the domestic public sector, it is difficult to properly grasp the current status of which devices are installed and operated with what share, and systematic data or research The results are very difficult to find. Therefore, in this study, the relevance of the classification system for IoT devices was analyzed according to reality based on sales, shipments, and growth rate, and based on this, the actual share of IoT devices among domestic public institutions was analyzed in detail. The derived detailed analysis results are expected to be efficiently utilized in the process of selecting IoT devices for research and analysis to advance information protection technology such as responding to malicious code attacks on IoT devices, analyzing incidents, and strengthening security vulnerabilities.

• Journal of Software Assessment and Valuation
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• v.17 no.2
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• pp.117-124
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• 2021

Livestock behavioral analysis is a factor that has a great influence on livestock health management and agricultural productivity increase. However, most digital devices introduced for behavioral analysis of livestock do not provide raw data and also provide limited analysis results. Such a closed system makes it more difficult to integrate data and build big data, which are essential for the introduction of advanced IT technologies. Therefore, it is necessary to supply farm-scale data collection devices that can be easily used at low cost. This study presents a data collection system for analyzing the behavior of livestock. The system consists of a number of miniature computing units that operate wirelessly, and collects livestock body temperature and acceleration data, location information, and livestock environment data. In addition, this study presents an algorithm for estimating the behavior of livestock based on the collected acceleration data. For the experiment, a system was built in a Korean cattle farm in Icheon, Gyeonggi-do, and data were collected for 20 Korean cattle, and based on this, the empirical and analysis results were presented.

• Journal of Software Assessment and Valuation
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• v.16 no.1
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• pp.13-19
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• 2020

It can be seen that the infringement of copyright cases is increasing as the society becomes more complex and advanced. During the software copyright dispute, there may be a dispute over whether the software is duplicated and made into upgraded software. In this paper, we intend to propose an analysis method for determining whether to upgrade software. For the software upgrade analysis, a software similarity analysis technique was used. The analysis program covers servers, management programs, and Raspberry PC programs. The first analysis confirms the correspondence between program creation information and content. In addition, it analyzes the similarity of functions and screen composition between the submitted program and the program installed in the field. The second comparative analysis compares and analyzes similarities by operating two programs in the same environment. As a result of comparative analysis, it was confirmed that the operation and configuration screens of the two programs were identical. Thus, minor differences were found in a few files, but it was confirmed that the two programs were mostly made using the same or almost similar source code. Therefore, this program can be judged as an upgrade program.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.408-408
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• 2023

하천공간은 하도, 사주, 식생, 하천구조물 등에 대한 특성을 지니고 있으며, 현장조사를 통해 하천공간에 대한 자료를 분석하여 기초자료를 생산한다. 기존에는 현장에서 육안조사나 지상에서 사진촬영, 스케치방법으로 하천공간특성에 대한 조사를 수행하였으나, 지상에서 조사한 자료은 하천특성에 대한 물리적·공간적 특성을 파악하기 어렵고 자료의 활용성이 낮은 한계점이 존재한다. 이와 같은 한계를 극복하기 위해 GIS 및 RS 기술을 활용한 고도화된 첨단조사 기술 및 장비가 도입되어 활용되고 있다. 본 연구에서는 하천공간특성을 GIS 기반으로 객체지향 분류 적용 연구와 분류 항목에 따른 공간분석 연구를 수행하였다. 연구를 위한 대상지역은 섬진강권역의 지석천 유역 하류부에 위치하고 있는 지석천 친수공원을 대상으로 선정하였다. 대상지역의 고해상도 항공영상을 수집 및 정합한 후 QGIS에서 제공하는 Orfeo ToolBox(OTB)의 LSMS(Large Scale Mean-Shift) 기법으로 정합한 항공영상의 객체지향 영상분할을 실시하여 벡터 레이어를 생성하였고, 하천공간특성에 따른 항목을 선정하여 각 항목의 영역에 대한 선별을 통해 훈련데이터를 생성하였다. 훈련데이터는 랜덤 포레스트를 이용하여 각 항목에 대한 자동 분류를 확인하였으며, 하천공간특성의 정량적 평가를 위해 분류된 각 항목별 공간분석을 통해 면적, 위치정보(위도, 경도, 표고)를 산정하였다. 분석 결과, 하천공간특성을 GIS 기반의 벡터 레이어와 각 항목에 대한 정량적 분석을 통해 하천공간의 DB를 구축하였다. 이와 같이 하천공간 DB 구축을 통해 전국 하천관리체계를 위한 기초자료를 구축하고자 하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.252-252
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• 2022

최근 기존의 전통적인 부유사채집기를 활용한 유사량 측정방법의 대안으로 지속적인 유량측정을 목적으로 활용되고 있는 횡방향 초음파도플러유속계의 초음파산란도를 활용하여 부유사농도를 측정에 대한 연구가 수행되고 있다. 하지만, 하천에서 횡방향 초음파도플러유속계를 활용한 유사량 측정 연구는 현장에서 측정된 자료를 기반으로 분석이 수행되기 때문에 통제된 유사 조건에서의 유사의 농도 및 입도분포에 대한 사전 정보를 바탕으로 정밀한 분석의 어려움이 있다. 이에 본 연구에서는 안동하천실험센터 순환수로에서 균일한 입도를 가지고 있는 황토를 활용하여 주입량에 따른 초음파산란도의 변화와 동시에 측정된 LISST(laser in-situ scattering and transmissometry)의 부유사 농도와 입도 자료를 활용하여 유사공급에 따른 3Mhz의 단일 주파수를 사용하는 횡방향 초음파도플러유속계의 초음파산란도를 활용한 부유사농도 및 평균입경의 측정에 대한 연구를 수행하였다. 측정결과, 유사공급에 따라서 초음파산란도를 활용하여 부유사농도가 증가하는 경향을 나타내고 있었으며, 횡방향 초음파도플러유속계로부터 측정된 셀별 초음파산란도를 활용하여 부유사농도의 공간적인 분포의 분석이 가능함을 확인할 수 있었다. 그리고 유사감쇄계수를 활용하여 LISST로부터 측정된 평균입경과의 관계식을 개발하여 유사공급에 따른 평균입경의 변화를 측정할 수 있을 것으로 나타났다. 추후, 통제된 조건에서의 다양한 입도분포에 따른 실험을 통해 횡방향 초음파도플러유속계의 초음파산란도를 활용한 부유사농도 측정 정확도를 개선과 유사감쇄계수를 통해 평균입경을 측정하는데 활용이 될 것으로 판단된다.

• The Journal of the Acoustical Society of Korea
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• v.41 no.6
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• pp.705-712
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• 2022

A sudden pressure drop caused by the pressure relief valve acts as a strong noise source and propagates the compressible pressure fluctuation along the pipe wall, which becomes a excitation source of Acoustic Induced Vibration (AIV). Therefore, in this study, the numerical methodology is developed to evaluate the reduction effect of compressible pressure fluctuation due to curved pipe in the pressure relief valve system. To describe the acoustic wave caused by density fluctuation, unsteady compressible Large Eddy Simulation (LES) technique, which is high accuracy numerical method, Smagorinsky-Lilly subgrid scale model is applied. Wavenumber-frequency analysis is performed to extract the compressible pressure fluctuation component, which is propagated along the pipe, from the flow field, and it is based on the wall pressure on the upstream and downstream pipe from the curved pipe. It is shown that the plane wave and the 1st mode component in radial direction are dominant along the downstream direction, and the overall acoustic power was reduced by 3 dB through the curved pipe. From these results, the noise reduction effect caused by curved pipe is confirmed.