• Proceedings of the KIEE Conference
• /
• 2005.07e
• /
• pp.19-21
• /
• 2005

The purpose of power system design is, in a word, to provide a good quality of electric power. The design of reliable industrial and commercial power distribution system is important because of the high costs associated with power outage. Three major factors for realization of the purpose are: (1) To hold system frequency at or very close to a specified nominal value(e.g. 60Hz) by control of frequency-effective power. (2) To maintain the correct value of interchange power between power and local generators. (3) To hold system voltage at or very close to a specified nominal value by control of voltage-reactive power. Within the past decade, numbers of industrial and commercial facilities installed with local generation, large motors or both, are increasing. This means that system stability is of concern to a growing number of industrial plant electrical engineers and consultants.

• The Transactions of the Korea Information Processing Society
• /
• v.6 no.5
• /
• pp.1303-1311
• /
• 1999

In order to learn in dynamic environments, reinforcement learning algorithms like Q-learning, TD(0)-learning, TD(λ)-learning have been proposed. however, most of them have a drawback of very slow learning because the reinforcement value is given when they reach their goal state. In this thesis, we have proposed a reinforcement learning method that can approximate fast to the goal state in maze environments. The proposed reinforcement learning method is separated into global learning and local learning, and then it executes learning. Global learning is a learning that uses the replacing eligibility trace method to search the goal state. In local learning, it propagates the goal state value that has been searched through global learning to neighboring sates, and then searches goal state in neighboring states. we can show through experiments that the reinforcement learning method proposed in this thesis can find out an optimal solution faster than other reinforcement learning methods like Q-learning, TD(o)learning and TD(λ)-learning.

• Journal of Korea Multimedia Society
• /
• v.18 no.10
• /
• pp.1197-1204
• /
• 2015

Smoke detection plays an important role for the early detection of fire. In this paper, we suggest a newly developed method that generated LBPV(Local Binary Pattern Variance)s as special feature vectors from RGB contrast images can be applied to detect smoke using SVM(Support Vector Machine). The proposed method rearranges mean value of the block from each R, G, B channel and its intensity of the mean value. Additionally, it generates RGB contrast image which indicates each RGB channel’s contrast via smoke’s achromatic color. Uniform LBPV, Rotation-Invariance LBPV, Rotation-Invariance Uniform LBPV are applied to RGB Contrast images so that it could generate feature vector from the form of LBP. It helps to distinguish between smoke and non smoke area through SVM. Experimental results show that true positive detection rate is similar but false positive detection rate has been improved, although the proposed method reduced numbers of feature vector in half comparing with the existing method with LBP and LBPV.

• Journal of the Korea Society of Computer and Information
• /
• v.19 no.8
• /
• pp.107-117
• /
• 2014

This paper proposed the method of removing baseline drift by eliminating local maxima such as P, R, T-wave signal region and local minima Q, S-wave signal region. We applied morphology-pair operations improved from morphology operation to the ECG signal. To eliminate overshoot in the result of morphology-pair operation, we apply median value operation to the result of morphology-pair operation. We use MIT/BIH database to estimate the proposed algorithm. Experiment result show that proposed algorithm removing baseline drift effectively without orignal ECG signal distortion.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.2
• /
• pp.131-141
• /
• 2020

This study examines the poverty indicators in Northeast region of Thailand by adopting the global Multidimensional Poverty Index (MPI) methodology and the national survey of Minimum Basic Needs (MBN) of Thailand. Data are collected from three different districts in Khon Kaen province namely: Khok Po Chai, Sam Sung, and Nam Pong. The sample size is 187 households. Data analysis uses Ordinary Least Square (OLS) regression approach and includes 7 dimensions of poverty (health, environment, education, economy, Thai value, asset? empowerment, and digital literacy) with a total of 41 indicators. This study has found that poverty indicators in Khon Kaen province remains centered around the aspects of health and employment dimensions. While a change of family structure in the Thai society since 1960s reduces the family size, household saving substantially increases over the years. The effects of health dimension in poverty, on the other hand, appears on the other poverty dimension of Thai value, which include (1) a bad living habit of head of household (smoke or alcohol consumption) that links with illness and disease, (2) religious practice, and (3) chronic illness. Lastly, there are income gaps of different careers in the area, which suggests the issue of income inequality.

• The KIPS Transactions:PartB
• /
• v.15B no.6
• /
• pp.501-506
• /
• 2008

The classical snake algorithm has a problem in detecting the boundary of an object with deep concavities. While the GVF method can successfully detect boundary concavities, it consumes a lot of time computing the energy map. In this paper, we propose an algorithm to reduce the computation time and improve performance in detecting the boundary of an object with high concavity. We define the degree of complexity of object boundary as the local curvature. If the value of the local curvature is greater than a threshold value, new snake points are added. Simulation results on several different test images show that our method performs well in detecting object boundary and requires less computation time.

• International Area Studies Review
• /
• v.17 no.4
• /
• pp.133-153
• /
• 2013

This study was to estimate the economic value of Gaecheon Arts Festival in Jinju, Korea. To measure the value of the festival, improved travel cost measurement that applied new weight concept from the Travel Cost Measurement(TCM) proposed by Peares(1972) was used. The total value was evaluated to approximately 2,270.057 billion KRW. The result showed that travel cost items affecting on economic value of the festival were transportation, food and beverage, shopping, accommodation, amusement and entrance fee in order. The effect of accommodation due to the visitors' surplus was small, due to day trip participation trend??. Because accommodation, shopping and entrance fee, therefore, directly affect the regional economy, it is necessary for festival planning party to develop the program for tourist accommodation and so forth. Finally, this study will contribute to the development of local festivals through the more objective, clear comparison and measurement of economic value between local festivals using improved travel cost estimation method.

• Journal of Korea Trade
• /
• v.25 no.1
• /
• pp.184-202
• /
• 2021

Purpose - This study empirically investigates the relationship between expatriate CEOs of multinational corporation (MNC) foreign subsidiaries and local philanthropy. Since corporate social responsibility (CSR) enables MNCs to achieve local legitimacy, this research argues that local philanthropy is a valuable strategic means for expatriate CEOs of foreign subsidiaries to secure local legitimacy. Design/methodology - To investigate our argument, we use a sample of 5,459 observations from 576 foreign subsidiaries of MNCs in Korea between 2002 and 2016. We conduct a random-effects panel Tobit regression with subsidiary CEO having foreign nationality as the independent variable and local philanthropy as the dependent variable. Findings - Our main findings are that expatriate CEOs of foreign subsidiaries are more actively engaged in local philanthropy. In addition, the positive relationship between expatriate CEOs and local philanthropy is weaker as their tenure increases. Originality/value - How expatriate CEOs overcome their weak local legitimacy as foreigners in a host country has remained unclear because existing studies mainly focused on the control and coordination aspects of staffing expatriates in CEO positions of foreign subsidiaries. This study broadens the literature on subsidiary CEO staffing and CSR activities of MNCs by identifying complementary relationships between expatriate CEOs and corporate philanthropy in the host country.

• KOREAN JOURNAL OF CROP SCIENCE
• /
• v.48 no.3
• /
• pp.224-231
• /
• 2003

This study was conducted to investigate the varietal differences in leaf senescence during ripening stage and its relation to grain yield of rice. During grain filling period leaf senescence was evaluated by SPAD readings (an indirect indicator of chlorophyll content) for 74 varieties including local, improved domestic, and introduced varieties in the field condition. Leaf senescence was varied greatly among 74 varieties. Jodongji and Dadajo known as local rice varieties had significantly lower SPAD value than the other varieties and became senescent rapidly. However, SPAD value of the flag leaf and 2nd leaf of SNU-SG1 were much higher than the other varieties and leaves of SNU-SG1 also showed a tendency of delayed senescence compared to the other varieties. There were significantly positive correlation between cumulated SPAD value of upper leaf(flag leaf and 2nd leaf) during 35 days after heading and grain yield divided by sunshine hour during 40 days of grain filling and compensated for temperature effect, and cumulated SPAD value of the 4th leaf showed negative correlation with the yield. That is, the delayed senescence of the upper leaves and the rapid senescence of lower leaves were positively associated with grain yield increase.

• Korean Journal of Organic Agriculture
• /
• v.29 no.1
• /
• pp.25-39
• /
• 2021

The objective of this study is to analyze the value of attributes of agricultural products in school food service using hedonic price model and choice experiment. In the case of potatoes, bean sprouts, and tomatoes, environment-friendly agricultural products rather than conventional ones, and domestic price premiums exist rather than Chungnam. The higher the price, the higher the margin rate. Conventional agricultural products were more profitable than environment-friendly ones, and domestic products were more profitable than Chungnam. In consumer preferences, environment-friendly agricultural products are preferred over conventional agricultural products and local products (Chungnam, Cheonan, Asan) rather than domestic ones. This is the opposite result of the Hedonic price model estimation that Chungnam has a lower price premium than domestic in the case of origin. This study is meaningful by analyzing the attribute value of agricultural products used for school meals in Chungnam and comparing them with the willingness to pay consumers. With the results of this study, it is necessary that discussions on supplementing the value of local products used in Chungnam school food service.