• Journal of Korea Trade
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• v.25 no.5
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• pp.93-109
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• 2021

Purpose - The logistics industry is often featured by its location relevance and industrial concentration. Industrial concentration is conducive to the effective transmission of information by reducing transaction costs and improving transaction efficiency, thus promoting the development of trade. The main purpose of this paper is to measure the spatial total factor productivity and location quotient of the logistics industry in Korea, and to study the impact of the logistics industry efficiency and agglomeration effect on import and export trade in Korea. Design/methodology - First, used the spatial stochastic frontier method to measure the spatial total factor productivity of the logistics industry in Korea, this serves as the efficiency index of the logistics industry in various regions of Korea. Second, calculated the location quotient (LQ) of the logistics industry to measure the industry's concentration degree. Third, employed a spatial econometric model to analyze the impacts of factors such as the efficiency and concentration levels of the logistics industry on import and export trade in Korea. Findings - This study's main findings can be summarized as follows: this study found that the overall efficiency of the logistics industry in Korea needs to be improved, even though it showed an upward trend in all regions of the country; Moreover, the agglomeration level of Korea's logistics industry needs to be improved; Finally, the positive spatial correlation and industrial agglomeration effect of Korea's logistics industry had a positive impact on the country's import and export trade. Originality/value - This study is innovative in terms of research perspective and methods. Most of the previous studies have measured the development level of the logistics industry using the logistics performance index (LPI), Fewer studies have assessed through the spatial total factor productivity and location quotient of the logistics industry in Korea to measure the efficiency index of the logistics industry in various regions of Korea and concentration degree, as well as there was almost no study on the impact of logistics industry efficiency and agglomeration effect on import and export trade in Korea. This study addresses this limitation by analyzing the impacts of the efficiency and agglomeration effect of the logistics industry on import and export trade in Korea.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.29 no.3
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• pp.7-14
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• 2006

Nowadays, many people are deeply interested in health and well-being. Ministry of Health and Welfare showed the results of evaluation of medical service of seventy eight general hospitals in 2005. The number of its medical service variables was eighteen and the evaluation was carried out in eight regions on a national scale. Our study used the result data of the evaluation and presented the descriptive and inferential research findings. Thus, relations between the eight regions in Korea and 18 variables were studied, using ANOVA, etc., the significant results were found, and through regression analysis we estimated slope parameters of significant variables and could let the persons concerned know which variables were more important or less important and suggested which variables should specially be strengthened for higher ranking of the overall evaluation and for acquisition of the excellent grade, A.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.2
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• pp.358-363
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• 2009

Text region detection from the natural scene images used in a variety of applications, many research are needed in this field. Recent research methods is to detect the text region using various algorithm which it is combination of edge based and connected component based. Therefore, this paper proposes an text region detection using edge and regional minima/maxima transformation algorithm from natural scene images, and then detect the connected components of edge and regional minima/maxima, labeling edge and regional minima/maxima connected components. Analysis the labeled regions and then detect a text candidate regions, each of detected text candidates combined and create a single text candidate image, Final text region validated by comparing the similarity and adjacency of individual characters, and then as the final text regions are detected. As the results of experiments, proposed algorithm improved the correctness of text regions detection using combined edge and regional minima/maxima connected components detection methods.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.9
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• pp.5637-5643
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• 2014

This study examined the degree of life satisfaction and quality of life of elderly people living in abandoned mine regions as well as the life quality factors that affected their degree of life satisfaction. A structured survey was used to look at their degree of life satisfaction and quality of life. The subjects were 167 elderly people aged 60 or older residing in abandoned mine regions in Gangwon-do. Their quality of life and degree of life satisfaction was moderate and when they had worked for a mine for a long time, their current degree of life satisfaction was high. In addition, religion affected their degree of life satisfaction and the residential environment and pleasant environment were highly influential in their degree of life satisfaction. Therefore, to improve the degree of life satisfaction of elderly people living in abandoned mine regions, it is essential to recover their hollow areas and create a pleasant environment by organizing their residential areas and enhancing their environment.

• Journal of Korea Society of Industrial Information Systems
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• v.20 no.6
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• pp.79-90
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• 2015

Since the late 1990s, the Korea wave has been very big issue among Asian nations. It has been increased in some regions including Russia, East Europe, South America but it has been decreased in some regions including Southeast Asia, Japan and China. The stream of Korea wave has been changed until now. We need a study considering on the time period of Korea wave. So this paper shows several implications from some changes by each time period of Korea wave for Southeast Asia cultural regions. In order to achieve objectives of the paper, we collected and classified 2511 requirements from bulletin board systems and e-mails. It shows how to improve e-service quality and to enhance nation brand utilizing types of requirements of Southeast Asia cultural regions and by the time period of Korea wave using QFD methodology. These implications are applied to design a tourism website for Southeast Asia cultural region.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.3
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• pp.847-852
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• 2010

Text in natural images has a various and important feature of image. Therefore, to detect text and extraction of text, recognizing it is a studied as an important research area. Lately, many applications of various fields is being developed based on mobile phone camera technology. Detecting edge component form gray-scale image and detect an boundary of text regions by local standard deviation and get an connected components using Euclidean distance of RGB color space. Labeling the detected edges and connected component and get bounding boxes each regions. Candidate of text achieved with heuristic rule of text. Detected candidate text regions was merged for generation for one candidate text region, then text region detected with verifying candidate text region using ectilarity characterization of adjacency and ectilarity between candidate text regions. Experctental results, We improved text region detection rate using completentary of edge and color connected component.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.113-120
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• 2018

Angiography and CT angiography are used widely for the examination of vascular diseases, but the diagnosis of such diseases is made mostly by the subjective judgment of the inspector. This paper proposes a method for detecting the suspicious regions of stenosis and aneurysm in the inner surfaces of 3D blood vessel models reconstructed from medical images. Initially, the 3D curve-skeletons of the blood vessel models and the contours at the nodes of the curve-skeletons were generated. Next, the 3D curve-skeletons were divided into a set of branches and the areas of normal contours of nodes located in each branch were calculated. The nodes whose contours contain suspicious regions were detected by taking into account the average area, maximum and minimum areas, and the area difference between the adjacent normal contours. The diagnosis of stenosis and aneurysm can be supported by properly visualizing the suspicious regions detected. The suspicious regions of the disease were identified by implementing and testing it using several data sets of human blood vessels, highlighting the usefulness of the proposed method.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.46 no.4
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• pp.124-131
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• 2009

A reliable detection of regions in radiography is one of the most important task before the evaluation of defects on welded joints. The extracted features is to be classified into distinctive clusters for each segmented region. But conventional segmentation techniques give unsatisfactory results for this task due to the spatial superposition of intensity and low signal-to-ratio(SNR) in radiographic images. The usage of global or local processes not only provide the necessary noise resistance but also fail in classification of regions. In this paper, we presents an appropriate approach for segmentation of region-based indications in industrial Computed Radiography(CR) images. The geometric differences between welded and non-welded area which is generated on radiography as the representative regions(background, thickness, middle and welded region in steel tube image) have constructed the hierarchical structure. Although this structure is contaminated by noise, the scheme between regions can be selected by the help of local clustering based on distinctive geometric property of each region. Because of the geometric nature of the considered region and so that the region is selected layer by layer, and that the real class represents the boundary between regions, the vertical and horizontal clustering process in each layer must be judicious. In order to show the effectiveness of this approach, a comparative experiment of various segmentation method is performed on industrial steel tube CR images.

• Journal of The Korean Society of Agricultural Engineers
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• v.62 no.5
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• pp.93-103
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• 2020

In this study, we estimated soil moisture values using the Deep Neural Network(DNN) scheme at the mountainous regions. In order to test the sensitive analysis of DNN scheme, we collected the measured(at the soil depths of 10 cm and 30 cm) soil moisture and DNN input(weather and land surface) data at the Pyeongchang-gun(relatively flat) and Geochang-gun(steep slope) sites. Our findings indicated that the soil moisture estimates were sensitive to the weather variables(5 days-averaged rainfall, 5 days precedent rainfall, accumlated rainfall) and DEM. These findings showed that the DEM and weather variables play the key role in the processes of soil water flow at the mountainous regions. We estimated the soil moisture values at the soil depths of 10 cm and 30 cm using DNN at two study sites under different climate-landsurface conditions. The estimated soil moisture(R: 0.890 and RMSE: 0.041) values at the soil depth of 10 cm were comparable with the measured data in Pyeongchang-gun site while the soil moisture estimates(R: 0.843 and RMSE: 0.048) at the soil depth of 30 cm were relatively biased. The DNN-based soil moisture values(R: 0.997/0.995 and RMSE: 0.014/0.006) at the soil depth of 10 cm/30 cm matched well with the measured data in Geochang-gun site. Although uncertainties exist in the results, our findings indicated that the DNN-based soil moisture estimation scheme demonstrated the good performance in estimating soil moisture values using weather and land surface information at the monitoring sites. Our proposed scheme can be useful for efficient land surface management in various areas such as agriculture, forest hydrology, etc.

• Journal of Life Science
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• v.27 no.11
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• pp.1308-1314
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• 2017

The Chinese red-headed centipede Scolopendra subspinipes mutilans, a member of the arthropod class Chilopoda, is a traditional medicine used for the treatment of several allergic diseases, such as atopy. S. subspinipes mutilans samples were collected from different regions of South Korea: Sancheong, Gyeongnam; Yeonggwang, Jeonnam and Jeju-do. The nutritional values of the centipedes were analyzed to extend the species' applications. The crude protein and fat contents of all samples were high and ranged from 54.9-55.8% and from 26.8-30.6%, respectively. Essential amino acids were present; lysine was the most common and accounted for 3.4-3.6% of the essential amino acids. Glutamic acid, which assists in improving concentration, memory and other cognitive abilities, was the most common non-essential amino acid at 6.8-7.1%. It had a similar content percentage in all three regions' samples. Additionally, unsaturated fatty acids were present, and oleic acid, which prevents cancer and cardiac disease, was the most common at 41.3-48.6% of each sample. Mercury, a hazardous substance, was detected at a range of 0.08-0.11 mg/kg in all samples; the amount was lower than the standard food allowance. Additionally, no pathogenic microorganisms, such as Escherichia coli and Salmonella spp., were detected. There were no significant differences between the nutritional factors of the S. subspinipes mutilans samples from the three regions. Based on the nutritional analysis, Chinese red-headed centipedes have the potential to be food and medicinal ingredients due to their proteins, essential amino acids, unsaturated fatty acids and nutritive capacities.