• International Journal of Aeronautical and Space Sciences
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• v.10 no.2
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• pp.1-11
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• 2009

In this paper, two algorithms to solve the path planning problem with constraints from obstacles are presented. One proposed Algorithm is "Grid point-based path planning". The first step of this algorithm is to set points which can be the waypoints around the field. These points can be located inside or outside of the field or the obstacles. Therefore, we should determine whether those points are located in the field or not. Using the equations of boundary lines for a region that we are interested in is an effective approach to handle. The other algorithm is based on the boundary lines of the agricultural field, and the concept of this algorithm is well known as "boustrophedon method". These proposed algorithms are simple but powerful for complex cases since it can generate a plausible path for the complex shape which cannot be represented by using geometrical approaches efficiently and for the case that some obstacles or forbidden regions are located on the field by using a skill of discriminants about set points. As will be presented, this proposed algorithm could exhibit a reasonable accuracy to perform an agricultural mission.

• Journal of the Korean Society of Clothing and Textiles
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• v.19 no.2
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• pp.287-296
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• 1995

measuring surface area errors can be brought about with different measuring people. This study aims at eliminating such errors in measurement. With measures by 3 people whose experience varies from person to person, the existing area measuring method using a planimeter and two other methods which use a computer (one using a digitizer and the other using a scanner) have been analyzed and compared. Three methods have not shown a meaningful difference in respect to the value" of area and two methods other than the one using a scanner have shown a meaningful difference among 3 measuring people. Therefore, we propose the method using a scanner by image processing should be a more improved one for area measuring. The arguments for that are as fllows. 1. The operation for measurement is simple and it has a high degree of accuracy with few errors. 2. Because different measuring people cause few errors the operation started by one person can be handed over to anyone else and the operation dosen't require previous skill. 3. Once image file is saved, the operation can be performed on several computers at the same time with seperate part on each computer. 4. Three methods have needed nearly the same length of time, but time for the method using a scanner can be reduced on computers with a higher capacity.th a higher capacity.

• Journal of Fashion Business
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• v.15 no.2
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• pp.131-144
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• 2011

The purpose of this study is to propose 3D art make-up design process by reproducing real objects through preliminary digital drawing with Photoshop (Photo Shop CS4.0, Adobe, USA) and using special make-up that has never been done previously, and produce creative problem solving plan to make concrete expanding thoughts and ideas. As for this study method, this study was composed of preliminary study, literature study by book examination and positive study on design process that performed preparatory work and reproduced real objects. Real case study by art make-up design process can improve effective design expressing ability by utilizing special make-up, diversify techniques, extend expression areas by materials, and create unique design. In addition, preliminary work by digital drawing, a process to predict real object work in advance, could reduce time and cost while improving work skill for work production, raise design accuracy and make easy the modification of idea. This study is anticipated to activate digital make-up by various digital techniques including Photoshop.

• Journal of Korean Society for Geospatial Information Science
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• v.18 no.2
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• pp.131-138
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• 2010

To manage the architecture information of Seoul, aerial photographs have been taken and Photographic Interpretation Status Maps(PISP) have been produced through interpretation process. However PISP of SEOUL has a number of errors and difficulties to update maps, owing to its analogue formation by hand skill. In this study, some digitizing methods are tested to make Digital Photographic Interpretation Status Maps(DPISP). The digitizing methods by scanning maps, using ortho-images and true ortho-images, digital correction plotting process, and LiDAR techniques were used for comparative analysis of PISP. As a result of this study, the author suggest DPISP by the digital correction plotting method is proper for economical efficiency and its accuracy of the architecture information.

• Journal of Korean Society for Geospatial Information Science
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• v.16 no.1
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• pp.67-73
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• 2008

The most common method of pipeline inspection is to use a remote-controlled-machine equipped with a CCTV, which, however, has many limitations to accurately inspect pipeline condition. In case of a typical CCTV, since the camera looks at the end point of the pipe, the locations of the defects and distance-readings are often different. In addition, the quality and accuracy of the inspection is highly dependent on the operator's skill and experience. In this research a new system is developed by use of the image processing techniques and the lens combination. The image acquisition system is developed that acquires the front and the side view of the pipe simultaneously. Side view unwrapping and stitching technology using image process techniques are developed which delivers high resolution image data.

• Atmosphere
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• v.30 no.2
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• pp.103-113
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• 2020

In this study, we analyzed and developed the monitoring system in order to confirm the effect of observations on forecast sensitivity on ensemble-based data assimilation. For this purpose, we developed the Ensemble Forecast Sensitivity to observation (EFSO) monitoring system based on Local Ensemble Transform Kalman Filter (LETKF) system coupled with Korean Integrated Model (KIM). We calculated 24 h error variance of each of observations and then classified as beneficial or detrimental effects. In details, the relative rankings were according to their magnitude and analyzed the forecast sensitivity by region for north, south hemisphere and tropics. We performed cycle experiment in order to confirm the EFSO result whether reliable or not. According to the evaluation of the EFSO monitoring, GPSRO was classified as detrimental observation during the specified period and reanalyzed by data-denial experiment. Data-denial experiment means that we detect detrimental observation using the EFSO and then repeat the analysis and forecast without using the detrimental observations. The accuracy of forecast in the denial of detrimental GPSRO observation is better than that in the default experiment using all of the GPSRO observation. It means that forecast skill score can be improved by not assimilating observation classified as detrimental one by the EFSO monitoring system.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2008.10a
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• pp.169-172
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• 2008

Recently, landscape lighting is more and more installing in many places such as park, cultural heritages, large-scale structures, bridges, apartment, and so on. However, there is no the government-set official estimation for standard wages constructing luminaries for landscape lighting. The cost of construction is estimated based on the standard wages of related-similar installations such as internal lighting fixtures or the designer's subjective decision. Sometimes, it is overestimated or underestimated. In this paper, the fundamental process for estimating the standard wages constructing luminaries for landscape lighting is studied. The estimation method of standard wages constructing lighting fixtures was examined on the basis of the type and capacities of luminaries, installation places, type and shapes of installation auxiliary materials, worker's skill, and etc. As a result, some results obtained in this work were significantly, different with the standard wages for internal electric wiring published by Korea Electric Association. In the future, to improve the accuracy of the estimation of the standard wages for constructing luminaries for landscope lighting, detailed factors related to the installation condition and dimensions and types of luminaries should be considered.

• Atmosphere
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• v.29 no.2
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• pp.219-226
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• 2019

Generally, the weather forecast system has been run using prescribed ocean condition. As it is widely known that coupling between atmosphere and ocean process produces consistent initial condition at all-time scales to improve forecast skill, there are many trials on the application of data assimilation of coupled model. In this study, we implemented a weakly coupled data assimilation (short for WCDA) system in global NWP model with low horizontal resolution for coupled forecast with uncoupled initialization, following WCDA system at the Met Office. The experiment is carried out for a typhoon evolution forecast in 2017. Air-sea exchange process provides SST cooling and gives a substantial impact on tendency of central pressure changes in the decaying phase of the typhoon, except the underestimated central pressure. Coupled data assimilation is a challenging new area, requiring further work, but it would offer the potential for improving air-sea feedback process on NWP timescales and finally contributing forecast accuracy.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.6
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• pp.143-148
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• 2022

It is very important for metaverse, mobile robot, and user location services to analyze the images continuously taken using a mobile smartphone or robot's monocular camera to estimate the camera's location. So far, PnP-related techniques have been applied to calculate the position. In this paper, the camera's moving direction is obtained using the essential matrix in the epipolar geometry applied to successive images, and the camera's continuous moving position is calculated through geometrical equations. A new estimation method was proposed, and its accuracy was verified through simulation. This method is completely different from the existing method and has a feature that it can be applied even if there is only one or more matching feature points in two or more images.

• Transactions of Materials Processing
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• v.32 no.6
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• pp.329-334
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• 2023

The process of heat treatment in cold forging is an essential role in enhancing mechanical properties. However, it relies heavily on the experience and skill of individuals. The aim of this study is to predict hardness using machine learning to optimize production efficiency in cold forging manufacturing. Random Forest (RF), Gradient Boosting Regressor (GBR), Extra Trees (ET), and ADAboosting (ADA) models were utilized. In the result, the RF, GBR, and ET models show the excellent performance. However, it was observed that GBR and ET models leaned significantly towards the influence of temperature, unlike the RF model. We suggest that RF model demonstrates greater reliability in predicting hardness due to its ability to consider various variables that occur during the cold forging process.