• Journal of the Korean Society of Manufacturing Process Engineers
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• v.18 no.8
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• pp.98-103
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• 2019

A more accurate method of feature point extraction and matching for three-dimensional reconstruction using low-resolution images of crops is proposed herein. This method is important in basic computer vision. In addition to three-dimensional reconstruction from exact matching, map-making and camera location information such as simultaneous localization and mapping can be calculated. The results of this study suggest applicable methods for low-resolution images that produce accurate results. This is expected to contribute to a system that measures crop growth condition.

• The Journal of the Korea Contents Association
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• v.17 no.8
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• pp.152-161
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• 2017

This study aims to analyze what is necessary for realization of convergence smart city service, and what is the priority order for it. First, the concept is set up through the theoretical review about convergence smart city service. Second, conduct in-depth interviews with smart-city related experts and derive the necessary elements to implement convergence smart city service. Third, derive priorities by subdividing the derived elements and utilizing the AHP method. The result of this study is expected to contribute to the development of convergence smart city service by deriving what should be considered for implementation of convergence smart city service.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.18 no.8
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• pp.104-109
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• 2019

Damage caused by wild animals such as pheasants and magpies is a problem in rural areas. A bird repellent system based on sensing and repelling farm pest animals and birds is proposed herein. This system is equipped with a bird model part on a supporting platform and comprises a sound source generator, a system control user interface, and a sensor in the center. The sensor is composed of an illuminance sensor and a PIR sensor. The illuminance sensor distinguishes between day and night, whereas the PIR sensor detects birds or wild animals and outputs them from the sound generator. The entire system can be managed easily by the user interface and system control.

• Journal of Digital Convergence
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• v.9 no.5
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• pp.99-111
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• 2011

Nowadays, the rapid progress and worldwide use of smart-media(SNS) has resulted in coming of the smart media convergence age. In practice, however, the effectiveness of smart media convergence society is limited by the difficulties of using it, which include accessibility, waiting for loading, clutter, old information, privacy risks, expensive communication, etc. The conquest of these difficulties must be policy target of broadcasting and telecommunication for high quality of communication life. From this perspective, this paper proposes a new policy of broadcasting and telecommunication based on the dynamic quality of life for the smart media convergence society. This smart convergence policy will not promote only the development and production of smart media contents but also its stable supply and it will secure the accessibility and privacy. In conclusion, this paper reveals that the components of quality of life are important elements of broadcasting and communication policies which will eventually lead to the popular use of smart media and enhance its quality.

• The Journal of Society for e-Business Studies
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• v.15 no.4
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• pp.59-77
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• 2010

The purpose of this study is to examine the relationship between the smart-phone and the existing service convergence to find out the future direction in convergence pattern in e-business. To analyze the data and to derive the result, the association rules are applied. As a result, the findings are as followings. Firstly, it is observed that the usage patterns of smart-phone and the existing service convergence are very similar. This means that the convergence of smart-phone can be predicted through the usage pattern of the existing users. Secondly, through the analysis on the convergence patterns of smart-phone usages and the existing services, the smart-phone's link to home networking and office equipments can significantly conform to the user's requirements. It is meaningful that this research has newly approached to the future direction of e-business and the future convergence paradigm by analyzing the relationship between the usage patterns of smart-phone users and the existing service convergence.

• International journal of advanced smart convergence
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• v.13 no.3
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• pp.300-305
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• 2024

Smart tourism enhances communication between tourists and residents, improves quality of life, increases the utilization of local tourism resources, and helps manage cities efficiently. This paper analyzes recent issues and trends in smart tourism, derives key factors for activating smart tourism based on the analyzed data, and conducts research on promoting smart tourism. Using smart tourism as a keyword, data was collected through Textom. The collection scope included a total of 33,588 pieces of data related to smart tourism over the past year, from May 1, 2023, to May 1, 2024. The data was analyzed using text mining and social network analysis techniques. Through this analysis, the paper suggests directions for the development of smart tourism, enabling the activation of local tourism and effective urban management.

• Journal of The Korean Society of Agricultural Engineers
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• v.64 no.1
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• pp.15-26
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• 2022

3D open-field farm model developed from UAV (Unmanned Aerial Vehicle) data could make crop monitoring easier, also could be an important dataset for various fields like remote sensing or precision agriculture. It is essential to separate crops from the non-crop area because labeling in a manual way is extremely laborious and not appropriate for continuous monitoring. We, therefore, made a 3D open-field farm model based on UAV images and developed a crop segmentation model using a supervised machine learning algorithm. We compared performances from various models using different data features like color or geographic coordinates, and two supervised learning algorithms which are SVM (Support Vector Machine) and KNN (K-Nearest Neighbors). The best approach was trained with 2-dimensional data, ExGR (Excess of Green minus Excess of Red) and z coordinate value, using KNN algorithm, whose accuracy, precision, recall, F1 score was 97.85, 96.51, 88.54, 92.35% respectively. Also, we compared our model performance with similar previous work. Our approach showed slightly better accuracy, and it detected the actual crop better than the previous approach, while it also classified actual non-crop points (e.g. weeds) as crops.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.10a
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• pp.15-15
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• 2017

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.389-390
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• 2018

본 논문에서는 3차원 복원을 위한 특징점 추출 및 매칭에 대한 보다 정확한 방법을 제안한다. 이 방법은 컴퓨터 비전의 기본이 되는 분야로 복원뿐 만 아니라 SLAM과 같은 지도 작성 및 자율 운행에도 필요한 방법이다. 본 연구는 3차원 물체 복원을 위해서 사용하는 방법 중 하나인 Column space fitting(CSF)을 이용하여 turntable-image data에 적용하여 성능을 평가하여 정확성을 검증을 한다. 오늘날 3D scanner를 이용하여 물체를 3차원 모델을 획득하고 3D프린터를 이용하여 다양한 분야에 적용한다. 그러나 고가의 장비이기 때문에 접근성이 떨어진다. 본 연구는 영상들만을 가지고 기하학적 계산을 통해 3차원 모델을 획득한다. 본 연구결과는 기존의 방법인 KLT 알고리즘과 비교하여 RMSE의 값을 약 5배를 줄이는 성능 향상을 보인다.

• Journal of Digital Convergence
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• v.10 no.8
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• pp.233-237
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• 2012

The technologies of information communication regions are progressing in rapidly. These technologies in today are used in various industry regions. We called it smart fusion. There are various regions such as smart car, smart green city, and smart TV, smart medical industries. Therefore, we described trends and future of smart green city in this paper.