• Korean Journal of Construction Engineering and Management
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• v.20 no.5
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• pp.104-114
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• 2019

This study explored to analyze the winning determinants of the lawsuit cases on the urban and housing redevelopment project based on jurimetric methods. Based on affirm-rate and staircase matrix tables, 441 lawsuit judgments are analyzed. Research findings in affirm-rate analysis indicate that past legal relation, no own defect of accreditation, no ownership or association member status, lapse of period of litigation, and no legal interest are identified as higher rate in order for the reason for plea on the merit. And so are defect on calculation of consent rate, defect in relation with written consent, approval before zoning designation, defect in relation with general meeting, and defect on zoning designation for the issue on the merit. It is noteworthy from the staircase matrix table analysis that the criteria for affecting the lawsuit outcome is determined based on key forecasting variables such as past legal relation and no ownership or association member status. This study intends to provide the implication that the unnecessary disputes can be reduced in the urban and housing redevelopment project by the implementation of jurimetric quantitative analysis methodology from the perspective of empirical law.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.2
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• pp.182-189
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• 2014

This paper proposed a framework of recognition and tracking for underwater objects using sonar images as an alternative of underwater optical camera which has the limitation of usage due to turbidity. In Part 1, a design and recognition method for 2D artificial landmark was proposed considering the practical performance of current imaging sonars. In particular, its materials are selected in order to maximize detectability based on characteristics of imaging sonar and ultrasonic waves. It has a simple and omni-directional shape which allows an easy modeling of object, and it includes region based features as identifications. Also, we proposed a real-time recognition algorithm including edge detector, Hough circle transforms, and shape matrix based recognition algorithm. The proposed methods are verified by basin tests using DIDSON.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.3
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• pp.164-173
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• 2014

In underwater robotics, vision would be a key element for recognition in underwater environments. However, due to turbidity an underwater optical camera is rarely available. An underwater imaging sonar, as an alternative, delivers low quality sonar images which are not stable and accurate enough to find out natural objects by image processing. For this, artificial landmarks based on the characteristics of ultrasonic waves and their recognition method by a shape matrix transformation were proposed and were proven in Part 1. But, this is not working properly in undulating and dynamically noisy sea-bottom. To solve this, we propose a framework providing a selection phase of likelihood candidates, a selection phase for final candidates, recognition phase and tracking phase in sequence images, where a particle filter based selection mechanism to eliminate fake candidates and a mean shift based tracking algorithm are also proposed. All 4 steps are running in parallel and real-time processing. The proposed framework is flexible to add and to modify internal algorithms. A pool test and sea trial are carried out to prove the performance, and detail analysis of experimental results are done. Information is obtained from tracking phase such as relative distance, bearing will be expected to be used for control and navigation of underwater robots.