• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.34 no.4
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• pp.349-356
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• 2016

This study investigates two camera self-calibration approaches, on-site self-calibration and laboratorial self-calibration, both of which are based on self-calibration theory and implemented by using a commercial photogrammetric solution, Agisoft PhotoScan. On-site self-calibration implements camera self-calibration and aerial triangulation by using the same aerial photos. Laboratorial self-calibration implements camera self-calibration by using photos captured onto a patterned target displayed on a digital panel, then conducts aerial triangulation by using the aerial photos. Aerial photos are captured by an unmanned aerial vehicle, and target photos are captured onto a 27in LCD monitor and a 47in LCD TV in two experiments. Calibration parameters are estimated by the two approaches and errors of aerial triangulation are analyzed. Results reveal that on-site self-calibration excels laboratorial self-calibration in terms of vertical accuracy. By contrast, laboratorial self-calibration obtains better horizontal accuracy if photos are captured at a greater distance from the target by using a larger display panel.

• Journal of Korean Society of Rural Planning
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• v.26 no.2
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• pp.25-37
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• 2020

The aim of this study is to assess the potential for fusion and convergence in industrial agriculture. First, we analyzed the types of industrial agriculture and applied the agri-business and ICT agriculture. After then, we analyzed the Project Potential Index (PPI) of the agri-business and ICT agriculture using the agricultural enterprise database provided from Rural Research Institute in Korea. The results revealed that Haenam have a high potential for agri-business project because of large number of farmers and annual sales. Wanju was considered as the suitable place for ICT agriculture project because of large area of greenhouse. This study was applied only 7 study area but the methodology suggested in this study could be widely used for assessing potential project various types of industrial agriculture.

• Journal of the Korea Convergence Society
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• v.6 no.3
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• pp.97-102
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• 2015

It has been changed various patterns related with our consumption because of popularization and progress on mobile device and service. We can buy a necessary products anywhere and at any time during 24 hours. Through the change of patterns in our life, in recent years, Fintech attracts a lot of attention. Fintech is the fusion type of finance and technology. Industry fields related with Fintech are now proceeding well in america, england and china. Therefore, we studied the issues of Fintech, and described the industrial technology trends in this paper.

• Journal of Institute of Convergence Technology
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• v.10 no.1
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• pp.25-29
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• 2020

Magnetic gears of non-contact power type have great advantages in terms of maintenance and repair than mechanical gears, and are used in various ways. Harmonic gears can derive a higher gear ratio than conventional gears through power transmission through a unique rotation mechanism. Magnetic harmonic gears, in which the gear teeth of the harmonic gears are replaced with magnets, have the advantages of both gears, but are difficult to implement and practical, so many studies are being conducted. In this study, we check whether the results of various types of magnetic gears can be applied to harmonic gears. By applying the axial type magnetic gear to the harmonic gear, the characteristic analysis is conducted to see if the result comparable to the existing radial type magnetic harmonic gear is obtained.

• Journal of Industrial Convergence
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• v.18 no.3
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• pp.53-61
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• 2020

Travel speed is an important parameter for measuring road traffic and incident detection system. In this paper I suggests a model developed for estimating reliable and accurate average roadway link travel speeds using image processing sensor. This method extracts the vehicles from the video image from CCTV, tracks the moving vehicles using deep neural network, and extracts traffic information such as link travel speeds and volume. The algorithm estimates link travel speeds using a robust data-fusion procedure to provide accurate link travel speeds and traffic information to the public. In the field tests, the new model performed better than existing methods.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.36 no.5
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• pp.371-379
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• 2018

Unlike general VHR (Very-High-Resolution) satellite sensors that are mainly for panchromatic and MS (Multispectral) imaging, Worldview-3 sensor additionally provides eight SWIR (Short Wavelength Infrared) bands in wavelength range from 1198 nm to 2365 nm. This study investigates the effect of informative Worldview-3 SWIR bands for wetland classification performance. Worldview-3 imagery acquired over Sunchon Bay, which is a coastal wetland located in South Korea, is used to implement the classification. Land-cover classes for the scene are determined by referring to national land-cover maps, which are provided by the Ministry of Environment, overlapped with the scene. After that, training data for each determined class are collected. In order to analyze the effect of SWIR bands, classifications with and without SWIR bands are carried out and the results are then compared. In this regard, a SVM (Support Vector Machine) is utilized as their classifier. As a result of the accuracy assessments performed by test data that are independently extracted from training data, it was confirmed that classification performance was improved when the SWIR bands are included as input features for SVM-based classification.

• Journal of the Korean Electrochemical Society
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• v.13 no.3
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• pp.175-180
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• 2010

The highly conductive polyaniline was synthesized and investigated on the properties of its thin film electrode fabricated by solution process. The transmittance and sheet resistance of the polyaniline thin film of 200 nm thickness were observed in 85% in absorption range above 450 nm and $380P{\Omega}/{\Box}$, respectively. The sheet resistance of the polyaniline was largely varied above $130^{\circ}C$ annealing temperature.

• Journal of the Korean Society of Industry Convergence
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• v.24 no.3
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• pp.289-294
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• 2021

Tungsten (W) is used as a facing material for nuclear fusion reactors, and it is used in conjunction with structural materials such as copper alloy (CuCrZr), graphite, or stainless steel. On the other hand, since tungsten is a material with a high melting point, a method that can be manufactured at a lower temperature is important. Therefore, in this study, tungsten, which is a facing material, was attempted to be manufactured using a pressure sintering method. Material properties of sintered tungsten materials were analyzed for each solvent using two types of solvents, acetone and polyethylene glycol. The sintered tungsten material using acetone as a solvent exhibited a hardness value of about 255 Hv, and when polyethylene glycol was used, a hardness value of about 200 Hv was shown. The flexural strength of the sintered tungsten material was 870 MPa and 307 MPa, respectively, when acetone and polyethylene glycol were used as solvents. The sintered tungsten material using acetone as a solvent caused densification between particles, which served as a factor of increasing the strength.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.9
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• pp.1224-1230
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• 2020

Since the spread of smart phones, interest in wearable devices has increased and diversified, and is closely related to the lives of users, and has been used as a method for providing personalized services. In this paper, we propose a method to detect the user's behavior by applying information from a 3-axis acceleration sensor and a 3-axis gyro sensor embedded in a smartphone to a convolutional neural network. Human behavior differs according to the size and range of motion, starting and ending time, including the duration of the signal data constituting the motion. Therefore, there is a performance problem for accuracy when applied to a convolutional neural network as it is. Therefore, we proposed a Time-Division Feature Fusion Convolutional Neural Network (TDFFCNN) that learns the characteristics of the sensor data segmented over time. The proposed method outperformed other classifiers such as SVM, IBk, convolutional neural network, and long-term memory circulatory neural network.

• Journal of Convergence for Information Technology
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• v.8 no.1
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• pp.281-290
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• 2018

The purpose of this study was to analyze the mediating effect of work environment and the moderating effect of gender on the influence of interpersonal relationship of fusion integrated generation of youths on organizational commitment. For this purpose, Korean Labor and Income Panel Study KLIPS 19th year data was used and the effect of interpersonal relationship of youths on the organizational commitment of 540 subjects in accordance with the study was examined and explored focusing on the model in relation to the mediating effects of the work environment and the control effects of gender. The main results are as follows. First, the interpersonal relationship and working environment of youths showed a positive effect on organizational commitment. Second, the working environment was found to be mediated completely in the relationship between the interpersonal relationship of youths and work environment and organizational commitment. Third, in the relationship between interpersonal relationship and organizational commitment of youths, it appeared that there was moderating effects of gender.