• Proceeding of Spring/Autumn Annual Conference of KHA
• /
• 2008.11a
• /
• pp.231-234
• /
• 2008

Urban redevelopment make a short term effects without consideration about resident‘s lives. so, there are many problems and planners solve the problems to improve urban redevelopment based on resident leaded direction. The purpose of this research is to find inherent district which is character by residents. Most of them could be explained in relation to life, religious leadership, traditional cultural heritage and democratic movement. Group interviews at a field site were carried as the main methodology by people who have an intimate knowledge of the place facts. This research has implication on a cognitive and emotional community map of residents compared to the just physical and geographical map. The places and place recognition activities and movement can be a basic foundation for residents participation in improving their housing neighborhood environment.

• Journal of the Korean Institute of Telematics and Electronics C
• /
• v.34C no.10
• /
• pp.89-97
• /
• 1997

Because a map consists of many lines, a process of recognizing an object in a map is one to group lines that are consistent with the structure of the object. Therefore, it is important to establish an efficient method for finding lines which constitute objects. In this paper, a novel method for recognizing roads and districts in a land register map is proposed. In this method, lines that constitute objects are searched in a reduced search space by defining some relations between lines, and objects are recognized by using the structural information of the objects. As a result, the search space is reduced effetively, and even objects that embody the broken lines and the crossed lines are recognized.

• Journal of Advanced Marine Engineering and Technology
• /
• v.32 no.1
• /
• pp.184-191
• /
• 2008

In order for a mobile robot to move under unknown or uncertain environment, it must have an environmental information. In collecting environmental information, the mobile robot can use various sensors. In case of using ultrasonic sensors to collect an environmental information, it is able to comprise a low-cost environmental recognition system compared with using other sensors such as vision and laser range-finder. This paper proposes a map building algorithm which can collect environmental information using ultrasonic sensors. And also this paper suggests a traveling algorithm using environmental information which leads to the map building algorithm. In order to accomplish the proposed traveling algorithm, this paper additionally discusses a position revision algorithm.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
• /
• 1999.10a
• /
• pp.99-104
• /
• 1999

This paper proposes an efficient method constructing a local map using the data of a scanning laser range finder. A laser range finder yields distance data of polar form, that is, distance data corresponding to every scanning directions. So, the data consists of directional angle and distance. We propose a new method to find a line fitting with a set of such data. The method uses Log-Hough Transformation. Usually, map building from these data requires some transformations between different coordinate systems. The new method alleviates such complication. Also, the method simplifies computation for line recognition and eliminates the slope quantization problems inherent in the classical Cartesian Hough transform method. To show the efficiency of the proposed method, it is applied to find a local map using the data from a laser range finder PLS(Proximity Laser Scanner, made by SICK).

• The Transactions of the Korea Information Processing Society
• /
• v.6 no.11
• /
• pp.3165-3177
• /
• 1999

With the recent outstanding advance in computer software and hardware, a number of researches to enhance the manufacturing speed and the process accuracy has been undertaken in many fields of textile industry. Frequently issued problems of automatic recognition of textile wrinkles in a grey scale image are as follows. First, changes in grey level intensity of wrinkles are so minute. Second, as both colors and patterns in a grey scale image appear in grey level intensity, it is difficult to sort out the wrinkle information only. Third, it is also difficult to distinguish grey level intensity changed by wrinkles from those by uneven illumination. This paper suggests a method of automatic recognition of textile wrinkles that can solve above problems concerned with wrinkles, which can be raised in a manufacturing process as one of errors. In this paper, we first make the outline of wrinkles distinctly, apply the block matching algorithm used in motion estimation, and then estimate block locations of target images corresponding to blocks of standard images with the assumption that wrinkles are kind of textile distortions caused by directional forces. We plot a "wrinkle map" considering distances between wrinkles as depths of wrinkles. But because mismatch can occur by different illumination intensity and changes in tensions and directions of the force, there are also undesirable patterns in the map. Post processing is needed to filter them out and get wrinkles information only. We use average grey level intensity of wrinkle map to recognize wrinkles. When it comes to textile with colors and patterns, previous researches on wrinkles in grey scale image hasn't been successful. But we make it possible by considering wrinkles as distortion.istortion.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.38C no.12
• /
• pp.1114-1125
• /
• 2013

License Plate Detection (LPD) is a key component in automatic license plate recognition system. Despite the success of License Plate Recognition (LPR) methods in the past decades, the problem is quite a challenge due to the diversity of plate formats and multiform outdoor illumination conditions during image acquisition. This paper aims at automatical detection of car license plates via image processing techniques. In this paper, we proposed a real-time and robust method for license plate detection using Heuristic Energy Map(HEM). In the vehicle image, the region of license plate contains many components or edges. We obtain the edge energy values of an image by using the box filter and search for the license plate region with high energy values. Using this energy value information or Heuristic Energy Map(HEM), we can easily detect the license plate region from vehicle image with a very high possibilities. The proposed method consists two main steps: Region of Interest (ROI) Detection and License Plate Detection. This method has better performance in speed and accuracy than the most of existing methods used for license plate detection. The proposed method can detect a license plate within 130 milliseconds and its detection rate is 99.2% on a 3.10-GHz Intel Core i3-2100(with 4.00 GB of RAM) personal computer.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.47 no.4
• /
• pp.109-117
• /
• 2010

With the advent of new technologies such as HSDPA, WiBro(Wireless Broadband) and personal devices, we can access various contents and services anytime and anywhere. A location based service(LBS) is essential for providing personalized services with individual location information in ubiquitous computing environment. In this paper, we propose mapping algorithm for error compensation of indoor localization system. Also we explain filter and indoor localization system. we have developed mapping algorithms composed of a map recognition method and a position compensation method. The map recognition method achieves physical space recognition and map element relation extraction. We improved the accuracy of position searching. In addition, we reduced position errors using a dynamic scale factor.

• The Transactions of the Korea Information Processing Society
• /
• v.2 no.2
• /
• pp.199-208
• /
• 1995

In this paper, a neural network architecture which can extract map symbols by being based on the results of physiological and neuropsychological studies on pattern recognition is proposed. This network is composed of multi-layers and synaptic activities of combining layers are implemented by spatial filters which approximate receptive fields of optic nerve cells. In pattern recognition which is followed by color classification for extracting of map symbols from input image, this network is searching for candidatepoints in lower layers (layer 2, 3) by using local features such as lines and end-points and then processing symbols recognition on those points in upper layer(layer 4) by using global features.

• Proceedings of the IEEK Conference
• /
• 2003.07b
• /
• pp.703-706
• /
• 2003

Yield enhancement in semiconductor fabrication is important. It is ideal to prevent all the failures. However, when a failure occurs, it is important to quickly specify the cause stage and take countermeasure. The automatic method of failure pattern extraction from fail bit map provides reduced time to analysis and facilitates yield enhancement. This paper describes the techniques to automatically classifies a failure pattern using a fail bit map, a new simple schema which facilitates the failure analysis.

• Journal of the Architectural Institute of Korea Planning & Design
• /
• v.35 no.7
• /
• pp.109-117
• /
• 2019

Recently, child safety map making education has attracted attention as a way to reduce crimes against children. In Korea, the Ministry of Gender Equality and Family organized a child safety map making education program in 2011. The program's manual was revised in 2013 and the Ministry implemented it as a project to promote the rights of women and children. Child safety map making education aims to raise a child's understanding of their neighborhood, to have voluntary control and normal consciousness as a local inhabitant, to be aware of wrong behavior and crime, and to be part of creating a safe urban environment. However, when compared to educational programs in other major developed countries, the child safety map making education program in Korea currently does not improve a child's awareness of their surroundings. In this workshop study, we proposed and ran a new program to improve children's awareness of their environment based on the active participation of children in the existing safety map educational program. The workshop was held for 4 weeks for 48 students from 5th and 6th grade at Osan Daeho Elementary School. We analyzed this new program's effects with the following results. First, an analysis of the effects of the program on children's recognition of safe and dangerous spaces revealed that their understanding of these spaces increased by 30.4% after the workshop. The safety-related factor in the mind map key concept increased from 0.94 to 4.94, indicating that the children's perception of neighborhood risk and safety factors improved. Second, the analysis of the effects of the program on the children's coping ability in dangerous situations showed that their understanding of how to deal with dangerous situations increased by 11.3%. The children's understanding of facilities they could ask for help, such as police boxes and child safety guard houses, improved by 17.9%. Third, analysis of the effects of child safety map making education on children's understanding of their neighborhood, their perception of responsibility in the neighborhood, and their neighborhood attachment showed that these levels of children's understanding of the neighborhood improved by 6.0% after the workshop.