• Journal of information and communication convergence engineering
• /
• v.9 no.5
• /
• pp.487-490
• /
• 2011

This paper presents splitting and merging algorithm based on adaptive thresholding. The algorithm first divides the image into blocks, and then compares each block using the calculated thresholding value. The blocks which are same are merged using the certain threshold value and different blocks are split unless it satisfies the threshold value. When the block has been merged, maximum and minimum block sizes are determined then the average block size is determined. After the average block size is determined the average intensity and standard deviation of average block is calculated. The process of thresholding is applied to binarize the image. Finally, the experimental results show that the proposed method distinguishes clearly the background with text in the document image.

• 제어로봇시스템학회:학술대회논문집
• /
• 2001.10a
• /
• pp.101.1-101
• /
• 2001

This paper describes a grid mapping for a vision based mobile robot in uncertain indoor environment. The map building is a prerequisite for navigation of a mobile robot and the problem of feature correspondence across two images is well known to be of crucial Importance for vision-based mapping We use a stereo matching algorithm obtained by singular value decomposition of an appropriate correspondence strength matrix. This new correspondence strength means a correlation weight for some local measurements to quantify similarity between features. The visual range data from the reconstructed disparity image form an occupancy grid representation. The occupancy map is a grid-based map in which each cell has some value indicating the probability at that location ...

• The Journal of the Korea Contents Association
• /
• v.2 no.4
• /
• pp.46-50
• /
• 2002

This paper suggests the adaptive binary method which applies advanced silt sum technique, so that threshold value can be changed heuristically according to the brightness of captured fingerprint image. Through this research, we tried to resolve threshold value setting issue by the local differences of brightness of fingerprint image in the binary image preprocessing. The experimental results show that our proposed preprocessing method demonstrates the better recognition accuracy and can be applied to minutiae extraction algorithm for fingerprint recognition system.

• Journal of Environmental Impact Assessment
• /
• v.18 no.1
• /
• pp.31-39
• /
• 2009

A lot of data which are used in environment analysis of air pollution have characteristics that are distributed continuously in space. In this point, the collected data value such as precipitation, temperature, altitude, pollution density, PM10 have spatial aspect. When geostatistical data analysis are needed, acquisition of the value in every point is the best way, however, it is impossible because of the costs and time. Therefore, it is necessary to estimate the unknown values at unsampled locations based on observations. In this study, spatial interpolation method such as local trend surface model, IDW(inverse distance weighted), RBF(radial basis function), Kriging were applied to PM10 annual average concentration of Seoul in 2005 and the accuracy was evaluated. For evaluation of interpolation accuracy, range of estimated value, RMSE, average error were analyzed with observation data. The Kriging and RBF methods had the higher accuracy than others.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2015.05a
• /
• pp.240-241
• /
• 2015

As buildings and especially eco-friendly facilities are increasing, maintenance of the aged buildings are interested by many maintenance companies. Therefore, a lot of companies are increasing by the maintenance form. These Earned Value should try to minimize the increasing forms. Therefore, this study has an effort to gather data related to earned value of building facility maintenance and analyze the data in terms of local dimension, used duration dimension, building types dimension and so on in order to prevent the building deterioration.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.12 no.3
• /
• pp.227-230
• /
• 2002

An important preprocessing for fingerprint recognition is the binarization operation, which takes as an input gray-scale image and returns a binary image as the output. The difficult in performing binarization is to find an appropriate threshold value. This paper presents a new adaptive binarization method, which determines the threshold value according to the brightness of local ridges and valleys. We experimentally show that the presented method results in better performance than a traditional method.

• Culinary science and hospitality research
• /
• v.20 no.4
• /
• pp.280-295
• /
• 2014

The purpose of this study is to identify whether there are causal relationships among experiential value, attitude and repurchase intention and whether the moderating role of storytelling experiences can be existed in the relationships between experiential value and repurchase intention, and between attitude and repurchase intention, focusing on Heotjesabap, dishes for a fake memorial ceremony, as a local food. Also, this study aims to identify whether there can be significant differences in experiential value, attitude and repurchase intention among the tourists who have storytelling experiences and those who do not have storytelling experiences of Heotjesabap. Based on total 211 samples obtained from the empirical research, the research findings are as follows. Firstly, tourists who have storytelling experiences of Heotjesabap have significantly greater experiential value, attitude and repurchase intention than those who do not. Secondly, experiential value positively affects attitude and attitude positively affects intention to repurchase Heotjesabap. Thirdly, the tourists who have storytelling experiences have a greater causal intensity than those who do not in the relationship between attitude and repurchase intention. These research findings show that there should be some changes for Heotjesabap, for example, better taste etc. to attract tourists to repurchase it. Limitations and further research directions are also discussed.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.12
• /
• pp.595-602
• /
• 2020

This study analyzes the plan to increase the social value of the KRC (Korea Rural Community Corporation). For this aim, this study examines the current status of participation in the KRC business and the social value, targeting the farmers among the external stakeholders and derived the main characteristics and important projects of the KRC using network analysis. As a result of network analysis, the rural water management business was found to be the most important business in most regions (Rural Water Development Business 0.805, Agricultural and Fishery Production Base Maintenance Business 0.758, Farmland Banking Business 0.762, Regional Development Business 0.643). On the other hand, in the case of Jeju, the agricultural production base improvement business and the regional development project were found to be the most important projects of KRC due to the unique characteristics of the region. The results of this kind of analysis differ in the importance between KRC business by region, and it is necessary to carefully review the local conditions in order to enhance social value through KRC business in the future. However, since the value of degree centrality between each business is different for each region, efforts to increase the value of KRC's social value, while accounting for local conditions, are needed.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.21 no.2
• /
• pp.187-193
• /
• 2021

In February 2020, Gyeonggi-do paid the world's first Data Dividend to local residents of Gyeonggi Province who produced data using local currency. Currently, Data Dividend is being paid to consumers who have produced data, but this paper studied the expansion of Data Dividend qualifications according to the contribution to creating added value. First, it raised the question of whether it is right for the recipient of Data Dividend to have only the consumers who produced the data. Second, by analyzing the four elements of data valuation criteria that influenced the creation of added value identified the objects that influence the creation of added value. The 4 factors were divided into productivity, effectiveness, concreteness, and usability, and the objects corresponding to each factor were analyzed. Accordingly, it was determined whether platform workers contributed to the creation of added value. In conclusion, it was confirmed that not only consumers, who were the first data producers, but also platform workers who contributed to the concreteness of data valuation to create added value can qualify for Data Dividend. Since this paper focuses on the necessity of data allocation centered on platform workers among the objects, the validity of objects that influence added value other than platform workers are excluded.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.41 no.2
• /
• pp.83-92
• /
• 2013

This study was to identify the differences on cognitions for conservation on the Rice Terraces landscape between local residents and visitors. For this purpose, this study drew problems and implications through consideration about advanced studies and then carried out a survey of local residents and visitors. The results of this study analyzed five factors that are the components of cognition about the Rice Terraces landscape: production, policy, landscape, management, and revitalization. The Cognition of Rice Terraces landscape indicated that local residents had more positive evaluation than visitors did. In addition, there were indicated differences in most items. Particularly, the local residents had more positive evaluation than visitors did in production(rice paddy of fallow ground, form of traditional rice paddy, weeds), landscape(cultural value, footpath of rice field and stonewall), and revitalization(common program for local residents and visitors, village revitalization from festival and event). Visitors had a more positive evaluation than local residents in terms of policy(designation of a place of scenic beauty, direct payment) and management(cooperation of local residents and visitors). In consideration of these results, it needs to draw up measures that are able to build up a common cognition to overcome differences between local residents and visitors. It is based on the knowledge and opinions that visitors and local residents had concerning history, traditions, cultures and production.