• Korean Management Science Review
• /
• v.23 no.1
• /
• pp.63-74
• /
• 2006

Decision tree induction algorithm is one of the most widely used methods in classification problems. However, they could be trapped into a local minimum and have no reasonable means to escape from it if tree algorithm uses top-down search algorithm. Further, if irrelevant or redundant features are included in the data set, tree algorithms produces trees that are less accurate than those from the data set with only relevant features. We propose a hybrid algorithm to generate decision tree that uses genetic programming with sequentially selected features. Correlation-based Feature Selection (CFS) method is adopted to find relevant features which are fed to genetic programming sequentially to find optimal trees at each iteration. The new proposed algorithm produce simpler and more understandable decision trees as compared with other decision trees and it is also effective in producing similar or better trees with relatively smaller set of features in the view of cross-validation accuracy.

• Journal of IKEEE
• /
• v.19 no.4
• /
• pp.526-534
• /
• 2015

In this paper, we studied the use of the foreground and background features and SVM classifier to improve the accuracy of offline handwritten numeral recognition. The foreground features are two directional features: directional gradient feature by Kirsch operators and directional stroke feature by local shrinking and expanding operations, and the background feature is concavity feature which is extracted from the convex hull of the numeral, where the concavity feature functions as complement to the directional features. During classification of the numeral, these three features are combined to obtain good discrimination power. The efficiency of our scheme is tested by recognition experiments on the handwritten numeral database CENPARMI, where SVM classifier with RBF kernel is used. The experimental results show the usefulness of our scheme and recognition rate of 99.10% is achieved.

• Journal of Agricultural Extension & Community Development
• /
• v.23 no.1
• /
• pp.101-114
• /
• 2016

Local food in rural area as a rural growth tool has to adapt to current market mechanisms by communication and promotion techniques. We need to know what and how local food consumers seek their benefits to market segmentations. The primary purpose of this study was to segment and profile the benefits of local food consumer so as to provide a better understanding of local food in Korea. A self-administered survey was obtained from 448 food consumer in the study area. Three distinct segments were identified based on the benefits; profit seeker (39.7%), passive consumers (19.0%), and value seeker (42.2%), and these were profiled with respect to socio-demographics and local food attitude-related features.

• Knowledge Management Research
• /
• v.9 no.1
• /
• pp.77-96
• /
• 2008

The purpose of this study is to find the new model of successful social enterprise on the basis of local economy and industry in Korea. The trends and definitions of social enterprise were discussed first of all and community business model operated by civilians and members of a community was studied. The community business of local friendly type(LFT) was focused especially. Some factors of LFT are such as the solution of economic polarization and employment aggravation, the recovery of local community, the solution of local problem, and new method of labor contract. As the result of exploratory analysis on community business in Korea, Some distinctive features were showed that the majority of business was managed by local government, the outcomes of local community business were improvement of local income and creation of employment. Also, there were barriers such as finance, marketing, and lack of entrepreneurship. In conclusion, community business enterprise on the basis of local is effective to develop local economy and it should be owned by local civilians. In addition, long-term aims, entrepreneurship, and positiveness need for making of local society wealth.

• IEIE Transactions on Smart Processing and Computing
• /
• v.5 no.1
• /
• pp.49-54
• /
• 2016

Regarding global and local factors of a set of features, a given single image or multiple images is a common approach in image processing. This paper introduces an application of an adaptive version of non-local filter whose original version searches non-local similarity for removing noise. Since most images involve texture partner in both foreground and background, extraction of signified regions with texture is a challenging task. Aiming to the detection of visual attention regions for images with texture, we present the contrast analysis of image patches located in a whole image but not nearby with assistance of the adaptive filter for estimation of non-local divergence. The method allows extraction of signified regions with texture of images of wild life. Experimental results for a benchmark demonstrate the ability of the proposed method to deal with the mentioned challenge.

• Journal of Internet Computing and Services
• /
• v.21 no.2
• /
• pp.57-64
• /
• 2020

The widespread use of smartphones with a variety of features has enabled mobile Internet-based services. One of these is online-to-offline (O2O) based services that connects online users with offline stores to add value. Applying this O2O strategy to local information retrieval induces online users to be linked to offline regions, thereby enabling the exchange of local-based information and helps create new value. This paper proposes and illustrates the implementation of O2O-based a local information providing service that utilizes photos of the local attraction. Also, we propose a fake-free ranking method to provide reliable local information to users and suggest its application of the service.

• Journal of the Korean Regional Science Association
• /
• v.14 no.2
• /
• pp.107-126
• /
• 1998

Since the election of governors and mayors by vote, many local governments in Korea establish long-range plans for their regional development. The major purposes of the plans are to set up development path for their communities and to devise economic development strategies. But most of the plans established thus formulated by the same method utilized in centralized political regime. This method is considered no longer appropriate to devise the long-range development plans for local government especially in the era of globalization and localization, where local governments behave independently, where local governments behave independently competition. We suggest an alternative way to establish such plans, based on the method employed in business sector. The plans, formulated in this way, are called strategy oriented long-range development plans. The underlying logic for the plans is non-linear one. The plans are issue oriented and focus more on process than outcome. Given that these features are properly incorporated in the plans, we expect that the strategy oriented long-range development plans can be genuine guidelines for local economic development in the years to come.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.51 no.6
• /
• pp.89-101
• /
• 2014

In this paper, we proposed a new local micro pattern, Signed Local Directional Pattern(SLDP). SLDP uses information of edges to represent the face's texture. This can produce a more discriminating and efficient code than other state-of-the-art methods. Each micro pattern of SLDP is encoded by sign and its major directions in which maximum edge responses exist-which allows it to distinguish among similar edge patterns that have different intensity transitions. In this paper, we divide the face image into several regions, each of which is used to calculate the distributions of the SLDP codes. Each distribution represents features of the region and these features are concatenated into a feature vector. We carried out facial expression recognition with feature vectors and SVM(Support Vector Machine) on Cohn-Kanade and JAFFE databases. SLDP shows better classification accuracy than other existing methods.

• The Journal of the Korea Contents Association
• /
• v.13 no.4
• /
• pp.73-85
• /
• 2013

This study examines the online social capital of local press using the website and social media. Moreover, the paper respectively visualizes web feature as Web 1.0 and social feature analysis as Web 2.0 by applying correspondence analysis. For data, the study analyzes 10 representative local press in Yeungnam areas. To collect the data, two coders coded web features from the websites and we employed NodeXL, an open-source software tool, for social media data. The results reveal that local websites expend online social capital using social media account. Especially, the social features of local presses attach importance to Twitter as the main press keep the well-balance use among all platforms.

• 제어로봇시스템학회:학술대회논문집
• /
• 1993.10b
• /
• pp.54-59
• /
• 1993

This paper presents a method of estimating 3-D surface geometrical features that are necessary for 3-D object recognition and image interpretation. The features, such as surface needle maps and curvatures, are computed from range or intensity images. In general, the range and intensity images are prone to noises, and hence the features computed by differentiation calculi on such a noisy image are hardly applicable to industrial recognition tasks. In our approach, we try to obtain a more accurate estimate of the features by using a least-squares minimization procedure subject to local curvature consistency constraints. The algorithm is robust with respect to noises and is completely independent of the viewpoint at which the image is taken. The performance of the ajgoritlim is evaluated using both synthetic data and real intensity images.