• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.1
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• pp.203-215
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• 2017

Recently, interest in Pedestrian Navigation Service (PNS) is being increased due to the diffusion of smart phone and the improvement of location determination technology and it is efficient to use landmarks in route guidance for pedestrians due to the characteristics of pedestrians' movement and success rate of path finding. Accordingly, researches on extracting landmarks have been progressed. However, preceding researches have a limit that they only considered the difference between buildings and did not consider visual attention of maps in display of PNS. This study improves this problem by defining building attributes as local variable and global variable. Local variables reflect the saliency of buildings by representing the difference between buildings and global variables reflects the visual attention by representing the inherent characteristics of buildings. Also, this study considers the connectivity of network and solves the overlapping problem of landmark candidate groups by network voronoi diagram. To extract landmarks, we defined building attribute data based on preceding researches. Next, we selected a choice point for pedestrians in pedestrian network data, and determined landmark candidate groups at each choice point. Building attribute data were calculated in the extracted landmark candidate groups and finally landmarks were extracted by principal component analysis. We applied the proposed method to a part of Gwanak-gu, Seoul and this study evaluated the extracted landmarks by making a comparison with labels and landmarks used by portal sites such as the NAVER and the DAUM. In conclusion, 132 landmarks (60.3%) among 219 landmarks of the NAVER and the DAUM were extracted by the proposed method and we confirmed that 228 landmarks which there are not labels or landmarks in the NAVER and the DAUM were helpful to determine a change of direction in path finding of local level.

• Korean Journal of Remote Sensing
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• v.23 no.4
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• pp.297-309
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• 2007

The first Korean geostationary weather satellite, Communications, Oceanography and Meteorology Satellite (COMS) will be launched in 2008. The ground station for COMS needs to perform geometric correction to improve accuracy of satellite image data and to broadcast geometrically corrected images to users within 30 minutes after image acquisition. For such a requirement, we developed automated and fast geometric correction techniques. For this, we generated control points automatically by matching images against coastline data and by applying a robust estimation called RANSAC. We used GSHHS (Global Self-consistent Hierarchical High-resolution Shoreline) shoreline database to construct 211 landmark chips. We detected clouds within the images and applied matching to cloud-free sub images. When matching visible channels, we selected sub images located in day-time. We tested the algorithm with GOES-9 images. Control points were generated by matching channel 1 and channel 2 images of GOES against the 211 landmark chips. The RANSAC correctly removed outliers from being selected as control points. The accuracy of sensor models established using the automated control points were in the range of $1{\sim}2$ pixels. Geometric correction was performed and the performance was visually inspected by projecting coastline onto the geometrically corrected images. The total processing time for matching, RANSAC and geometric correction was around 4 minutes.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1259-1263
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• 2004

This paper describes position estimation algorithm using neural network for the navigation of the vision-based wheeled mobile robot (WMR) in a corridor with taking ceiling lamps as landmark. From images of a corridor the lamp's line on the ceiling in corridor has a specific slope to the lateral position of the WMR. The vanishing point produced by the lamp's line also has a specific position to the orientation of WMR. The ceiling lamps have a limited size and shape like a circle in image. Simple image processing algorithms are used to extract lamps from the corridor image. Then the lamp's line and vanishing point's position are defined and calculated at known position of WMR in a corridor. To estimate the lateral position and orientation of WMR from an image, the relationship between the position of WMR and the features of ceiling lamps have to be defined. But it is hard because of nonlinearity. Therefore, data set between position of WMR and features of lamps are configured. Neural network are composed and learned with data set. Back propagation algorithm(BPN) is used for learning. And it is applied in navigation of WMR in a corridor.

• Advances in biomechanics and applications
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• v.1 no.4
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• pp.269-277
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• 2014

In skin-marker based motion analysis, knee translation measurement is highly dependent on a pre-selected reference point (functional center) on each segment determined by the location of anatomical landmarks. However, the placement of skin markers on palpable anatomical landmarks (i.e., femoral epicondyles) has limited reproducibility. Thus, it produces large variances in knee translation measurement among different subjects, as well as across studies. In order improve the repeatability of knee translation measurement, in this study an optimization method was introduced, by which the femoral functional center was numerically determined. At that point the knee anteroposterior translation during the stance phase of walking was minimized. This new method was tested on 30 healthy subjects during walking in gait lab with motion capture system. Using this new method, the impact of skin marker position (at anatomical landmarks) on the knee translation measurement has been minimized. In addition, the ranges of anteroposterior knee translations during stance phase were significantly (p<0.001) smaller than those measured by conventional method which relies on a pre-selected functional center ($11.1{\pm}3.5mm$ vs. $19.9{\pm}5.5mm$). The results of anteroposterior translation using this new method were very close to a previously reported knee translation (12.4 mm) from dual fluoroscopic imaging technique. Moreover, this new method increased the reproducibility of knee translation measurement by 50%.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2000.11a
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• pp.109-117
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• 2000

This study aims at advancing waterfront of Pusan Port and attempting to establish an identity through studying characteristics of place in Pusan Port. The place is consisted of two elements ; orientation and identity, which is expressed clearly the environmental totality including the character and space. The urban waterfront is also one of the place pattern, and that is consist of land area, water area, and transit zone combining two areas. Although there are a lot of primary factors to be able to make the most of the character and identity in Pusan port, badly planned development prevents the plan promoting the sense of place in urban waterfront. The point in the waterfront development plan of Pusan Port is how to secure aminities based on Identity and Orientation; node, landmark, edge, path, district. The result of this study is for planners to develop more and systematic approaches which could utilize waterfront.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.13 no.2
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• pp.133-139
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• 2013

This paper proposes a vision-based indoor localization method for autonomous vehicles. A single upward-facing digital camera was mounted on an autonomous vehicle and used as a vision sensor to identify artificial landmarks and any natural corner features. An interest point detector was used to find the natural features. Using an optical flow detection algorithm, information related to the direction and vehicle translation was defined. This information was used to track the vehicle movements. Random noise related to uneven light disrupted the calculation of the vehicle translation. Thus, to estimate the vehicle translation, a Kalman filter was used to calculate the vehicle position. These algorithms were tested on a vehicle in a real environment. The image processing method could recognize the landmarks precisely, while the Kalman filter algorithm could estimate the vehicle's position accurately. The experimental results confirmed that the proposed approaches can be implemented in practical situations.

• Journal of the Korean Institute of Rural Architecture
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• v.9 no.1
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• pp.27-34
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• 2007

This study is to propose directions of waterfront planning about fishing village and harbor in East coast. Above all important waterfront-using in harbor, such as regional atmosphere and sea-scape are to investigate waterfront elements. For example, seaside park, harbor street mall, landmark, view point, promenade can be checked and design of waterfront may be possible to work out future harbor master plan. This study suggests that harbor of contemporary is to develop by regional waterfront characters. Accordingly, we analyze, it shows that the waterfront planning not only people of village but also visiting citizen is one of the important in developments about fishing village and harbor. As a results of this paper, we expect this research to be used as a valuable data in waterfront planning about fishing village and harbor.

• Journal of Korean Port Research
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• v.13 no.2
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• pp.351-364
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• 1999

This study aims at advancing waterfront planning and development of North Port or of Pusan and attempting to establish an identity through the analysis and case studied of waterfront development of foreign countries. This study is based on Pusan urban harbor plan and the case study which was investigated the relational port with an urban area to find a model of development method and procedure of urban waterfront renewal. The approach of this study is to classify diversified cases and to suggest elements after reviewing successful cases. The point in the waterfront development plan of North Port of Pusan is how to secure an amenity on the edge and provides a comprehensive theoretical base such as skyline, coastline, green area, accessibility scenery, landmark, open space, and so on. The results of this stud is useful for the planner to develop more and systematic approaches which could utilize waterfront. Waterfront development will be a new change of urban development for Pusan.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2004.11a
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• pp.173-174
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• 2004

The Great Wall is an element in University which stand outs as a landmark. The Great Wall is located in front of the grand staircases of the gymnasium in the main gate area. Falling water and Lights shows a spectacle panorama in various point of view. Water falls down the top of the grand staircases and the front walls. And the red, blue and green lights brighten the falling water in the evenings. Also the relief of the palm tree and turtle symbolizes the University Identity. The wall is comprehends not only the day and the night but four seasons. The Water, Lights, and the Relief are coordinates well along with the new building in campus.

• Journal of Korean Port Research
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• v.14 no.4
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• pp.407-418
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• 2000

Although there are a lot of primary factors to be able to make characters and identities in Pusan South Harbor, Badly Planned development prevented enhancing the sense of place in urban waterfront. The point in the waterfront development is how to secure amenities based on indentity and orientation; node, landmark, edge, path, district. This study aims at developing waterfront area of Pusan South Harbor and attempting to establish an identity through studying characteristics of ‘places’ in Pusan South Harbor. The place consists of two elements; orientation and identity, which can be explained the environmental totality, ‘character’ and ‘space’ respectively. The urban waterfront has strong characteristics which consists of land area, water area, and transit zone combining two areas. The place of Pusan South Harbor is analysed those four elements. We proposed objectives and criteria which can be used in enhancing the sense of this place.