• Journal of Korean Society of Transportation
• /
• v.23 no.2
• /
• pp.107-116
• /
• 2005

The information on travel time in providing the information of traffic to drivers is one of the most important data to control a traffic congestion efficiently. Especially, this information is the major element of route choice of drivers, and based on the premise that it has the high degree of confidence in real situation. This study developed a vehicle arrival time prediction algorithm called as "VAT-DV" for 6 corridors in total 6.1Km of "Nam-san area trffic information system" in order to give an information of congestion to drivers using VMS, ARS, and WEB. The spatial scope of this study is 2.5km~3km sections of each corridor, but there are various situations of traffic flow in a short period because they have signalized intersections in a departure point and an arrival point of each corridor, so they have almost characteristics of interrupted and uninterrupted traffic flow. The algorithm uses the information on a demand volume and a queue length. The demand volume is estimated from density of each points based on the Greenburg model, and the queue length is from the density and speed of each point. In order to settle the variation of the unit time, the result of this algorithm is strategically regulated by importing the AVI(Automatic Vehicle Identification), one of the number plate matching methods. In this study, the AVI travel time information is composed by Hybrid Model in order to use it as the basic parameter to make one travel time in a day using ILD to classify the characteristics of the traffic flow along the queue length. According to the result of this study, in congestion situation, this algorithm has about more than 84% degree of accuracy. Specially, the result of providing the information of "Nam-san area traffic information system" shows that 72.6% of drivers are available.

• Korean Journal of Remote Sensing
• /
• v.35 no.5_2
• /
• pp.841-850
• /
• 2019

The purpose of this study is to strengthen the capability of rapid mapping for disaster through improving the positioning accuracy of mapping and fusion of multi-sensing point cloud data derived from Unmanned Aerial Vehicles (UAVs) and disaster investigation vehicle. The positioning accuracy was evaluated for two procedures of drone mapping with Agisoft PhotoScan: 1) general geo-referencing by self-calibration, 2) proposed geo-referencing with optimized camera model by using fixed accurate Interior Orientation Parameters (IOPs) derived from indoor camera calibration test and bundle adjustment. The analysis result of positioning accuracy showed that positioning RMS error was improved 2~3 m to 0.11~0.28 m in horizontal and 2.85 m to 0.45 m in vertical accuracy, respectively. In addition, proposed data fusion approach of multi-sensing point cloud with the constraints of the height showed that the point matching error was greatly reduced under about 0.07 m. Accordingly, our proposed data fusion approach will enable us to generate effectively and timelinessly ortho-imagery and high-resolution three dimensional geographic data for national disaster management in the future.

• Explosives and Blasting
• /
• v.40 no.4
• /
• pp.15-26
• /
• 2022

With the recent increase in old and dangerous buildings, the demand for technology in the field of structure demolition is rapidly increasing. In particular, in the case of structures with severe deformation of damage, there is a risk of deterioration in stability and disaster due to changes in the load distribution characteristics in the structure, so rapid structure demolition technology that can be efficiently dismantled in a short period of time is drawing attention. However, structural deformation such as unauthorized extension or illegal remodeling occurs frequently in many old structures, which is not reflected in structural information such as building drawings, and acts as an obstacle in the demolition design process. In this study, as an effective way to overcome the discrepancy between the structural information of old structures and the actual structure, access to actual structures through 3D modeling was considered. 3D point cloud data inside and outside the building were obtained through LiDAR and drone photography for buildings scheduled to be blasting demolition, and precision matching between the two spatial data groups was performed using an open-source based spatial information construction system. The 3D structure model was completed by importing point cloud data matched with 3D modeling software to create structural drawings for each layer and forming each member along the structure slab, pillar, beam, and ceiling boundary. In addition, the modeling technique proposed in this study was verified by comparing it with the actual measurement value for selected structure member.

• Journal of Korean Tunnelling and Underground Space Association
• /
• v.26 no.2
• /
• pp.113-128
• /
• 2024

Items of road tunnel PISD (Precise Inspection for Safety and Diagnosis) were reviewed and analyzed using newly enhanced MMS (Mobile Mapping System) technology. Possible items with MMS can be visual inspection, survey and non-destructive test, structural analysis, and maintenance plan. The resolution of 3D point cloud decreased when the vehicle speed of MMS is too fast while the calibration error increased when it is too slow. The speed measurement of 50 km/h is determined to be effective in this study. Although image resolution by MMS has a limit to evaluating the width of crack with high precision, it can be used as data to identify the status of facilities in the tunnel and determine whether they meet disaster prevention management code of tunnel. 3D point cloud with MMS can be applicable for matching of cross-section and also possible for the variation of longitudinal survey, which can intuitively check vehicle clearance throughout the road tunnel. Compared with the measurement of current PISD, number of test and location of survey is randomly sampled, the continuous measurement with MMS for environment condition can be effective and meaningful for precise estimation in various analysis.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.18 no.3
• /
• pp.143-149
• /
• 2018

Recently, due to the large-scale damage of natural disasters caused by global climate change, a monitoring system applying remote sensing technology is being constructed in disaster areas. Among remote sensing platforms, the drone has been actively used in the private sector due to recent technological developments, and has been applied in the disaster areas owing to advantages such as timeliness and economical efficiency. This paper deals with the development of a preprocessing system that can map the drone image data in a near-real time manner as a basis for constructing the disaster monitoring system using the drones. For the research purpose, our system is based on the SURF algorithm which is one of the computer vision technologies. This system aims to performs the desired correction through the feature point matching technique between reference images and shot images. The study area is selected as the lower part of the Gahwa River and the Daecheong dam basin. The former area has many characteristic points for matching whereas the latter area has a relatively low number of difference, so it is possible to effectively test whether the system can be applied in various environments. The results show that the accuracy of the geometric correction is 0.6m and 1.7m respectively, in both areas, and the processing time is about 30 seconds per 1 scene. This indicates that the applicability of this study may be high in disaster areas requiring timeliness. However, in case of no reference image or low-level accuracy, the results entail the limit of the decreased calibration.

• Journal of the HCI Society of Korea
• /
• v.10 no.1
• /
• pp.29-41
• /
• 2015

Technologies for video reality (e.g., 3D displays, vibration, surround sound, etc.) utilize various sensory input and many of them are now commercialized. However, when it comes to the use of olfaction for video reality, there has not been much progress in both practical and academic respects. Because olfactory sense is tightly associated with human emotion, proper use of this sense is expected to help to achieve a high degree of video reality. This research tested the effects of a video's color-temperature related scent on reality improvement when the video does not have apparent object (e.g., coffee, flower, etc.) which suggest specific smell. To this end, we had participants to rate 48 scents based on a color-temperature scale of 1,500K (warm)-15,000K (cold) and chose 8 scents (4 warm scents, 4 cold scents) which showed clear correspondence with warm or cold color-temperatures (Expt. 1). And then after applying warm (3,000K), neutral (6,500K), or cold (14,000K) color-temperatures to images or videos, we presented warm or cold scents to participants while they rate reality improvement on a 7-point scale depending on relatedness of scent vs. color-temperature (related, unrelated, neutral) (Expts. 2-3). The results showed that participants experienced greater reality when scent and color-temperature was related than when they were unrelated or neutral. This research has important practical implications in demonstrating the possibility that provision of color-temperature related scent improves video reality even when there are no concrete objects that suggest specific olfactory information.

• The Journal of the Korea Contents Association
• /
• v.11 no.7
• /
• pp.234-238
• /
• 2011

This paper will evaluate the usefulness of 3D target of CBCT by comparing human body's posture and position when simulated treatment is being carried out as well as human phantom posture and position using CBCT which is applying OBI. From the Rando Phantom which is located in the datum point moved in parallel and rotationary direction using CBCT. Then the mean and standard deviation difference on images location difference that are acquired were compared with real the Rando Phantom' moved distance. To make a plan of simulated treatment with the same procedure of real radiation therapy, we are going to setup the Rando Phantom. With an assumption that the position is set in accurate place, we measured the setup errors accroding to the change of the translation and rotation. Tests are repeated 10 times to get the standard deviation of the error values. The variability in couch shift after positioning equivalent to average residual error showed lateral $0.2{\pm}0.2$mm, longitudinal $0.4{\pm}0.3$mm, vertical $-0.4{\pm}0.1$mm. The average rotation erroes target localization after simulated $0.4{\pm}0.2$ mm, $0.3{\pm}0.3$ mm, and $0.3{\pm}0.4$ mm. The detection error by rotation is $0{\sim}0.6^{\circ}$ CBCT 3D/3D matching using the Rando Phantom minimized the errors by realizing accurate matching during simulated treatment and patient caring.

• Progress in Medical Physics
• /
• v.20 no.2
• /
• pp.62-71
• /
• 2009

Recently, optical coherence tomography (OCT) has demonstrated considerable promise for the noninvasive assessment of biological tissues. However, OCT images difficult to analyze due to speckle noise. In this paper, we tested various image processing techniques for speckle removal of human and rabbit cartilage OCT images. Also, we distinguished the images which get with methods of image segmentation for OCT images, and found the most suitable method for segmenting an image. And, we selected image segmentation suitable for OCT before image reconstruction. OCT was a weak point to system design and image processing. It was a limit owing to measure small a distance and depth size. So, good edge matching algorithms are important for image reconstruction. This paper presents such an algorithm, the chamfer matching algorithm. It is made of background for 3D image reconstruction. The purpose of this paper is to describe good image processing techniques for speckle removal, image segmentation, and the 3D reconstruction of cartilage OCT images.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.2
• /
• pp.97-104
• /
• 2018

Recently, many studies have examined UAVs (unmanned aerial vehicles), which can replace and supplement existing surveying sensors, systems, and images. This study focused on the use of UAV images and assessed the possibility of utilization in areas where it is difficult to obtain GCPs (ground control points), such as disasters. Therefore, 3D (dimensional) pointcloud data were generated using UAV images and the absolute/relative accuracy of the generated model data using GCPs and without GCPs was assessed. The results showed the 3D shape pointcloud generated by UAV image matching was proven if the relative accuracy was set, regardless of whether GCPs were used or not; the quantitative measurement error rate was within 1%. Even if the absolute accuracy was low, the 3D shape pointcloud that had been post processed quickly was sufficient to be utilized when it is impossible to acquire GCPs or urgent analysis is required. In particular, the results can obtain quantitative measurements and meaningful data, such as the length and area, even in cases with the ground reference point surveying and post-process.

• Journal of the Korean Society of Costume
• /
• v.19
• /
• pp.209-240
• /
• 1992

The costume of any nation is an attribute of a culture. This study concerns chinese and Mongolian costume's 'collar' form according to the observation of some reports about import folk materials and the pictures of the genuine objects, the author has investigated and rearranged them focusing on 13th Century's. 1. Traditional OverCoat or National costume on the poing of won dynasty in china such as Jacket, Coat, Mantle for making classical matching color, lacing, pearl pieces, and all costume shall be properly decorated and disigned. The example, Chinese Women's Gown and Double Jacket, on top of alignment of plaid, focus shall be placed on chinese classical form and color-matching, such as flowers and bireds, butterflies, made wishing ornaments, which shall be either hand painted or embroidered on collars, fronts, sleeves openings, and lower portion of gown. 2. Mongolian Costume, the stone status of a person, are seen at the territory of the Republic of Mongolia was a powerful country of Asia. So during the Mongolian Empire a lot of Missions from many countries came to kharakorom for establishing official relations between Mongolia and a country represented by mission. In particularly, the costume of mongols on the point of Chinggis khan Empire which the upper clothes in cluded ; a several kinds of the Caftan as compared with in Korea as to material (Silk caftan, Cotton Caftan, Fur Caftan) with closing to the right due to overlapping and Stand-up-Shawl Collars will pancho style & Round or V Neckline. 3. As compared with in Korea it is said that this a sort of Simui was brought in prior to the middle of Koryeo dynasty. Korean Simui system was complied with chinese system through confucian domestic behaviour. This was respected for court dress of confucian scholars, as it was, Chumri can ordinary dress of schloars) and Hakchangui ( a uniform of confucian student). Generally its form or shape of the outer lapels of Korean jacket were used together Squar-Tray-Collar. In late Yi-dynasty the inside collar length was longer than the outside collar length and the width of the collar was gradually narrow. And so the Traditional costume's outer collar of Jacket and OverCoat became small while the width and length of breast-tie became large. The same thing as the form of the collar on these days had been appeared by the design method or adjust one's dress. Therefore the form of collar in the china and Mongolian Traditional OverCoat & National Costume is fix arranged according to Stand up Collar, Without Collar, Clothing to the Right, Central opening, Horizontal Row of Button with Round or V Neckline and so on.