• Korean Journal of Agricultural Science
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• v.38 no.2
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• pp.369-381
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• 2011

Ginseng in Korea has not only the big production value but also till a good reputation from overseas in the name of 'Korea Ginseng'. Having spread rapidly nationwide from 2000 year, its production keeps on increasing but its consumption becomes lazy and its price is also falling down because of comsumer's concern about mainly overusing pesticide for ginseng. In order to cope with this problem, the government introduced the GAP certification system to ginseng in 2006 to reflect consumer's needs for food safety. This system will be a good opportunity to promote ginseng consumption dramatically. In this aspect it is very important to know how well this system is established and how ginseng farmers build marketing strategies to draw new wind in the market. This study was carried out to look over the GAP certified ginseng system and show its marketing strategies using 4P's(product, place, promotion and price). The main results are as follows. GAP ginseng system currently has some weaknesses such as lack of systematic certification management and after-service, nonrealistic certification fee and poor linkage from production to consumption. In the marketing mix strategies, product strategy suggests that the most desirable appearance be transplanted ginseng filled with branch roots and 4 to 5 year-ginseng, and it is necessary to choose multi-brand strategy divided for present into for self-sufficiency and family brand strategy by use if its brand enlarges to processed products in the future. In the place strategy, 3 stages like 'producer group' - 'GAP certified facility' - 'sales shop' are based as the physical marketing channel according to traceability, and connected with giant retail market and environment friendly stand, and if its sales volume enlarges, it should be considered the GAP ginseng specialized marketplace which is a type of chain store. In the promotion strategy, the promotion of government level is necessary at first and producer alliances require the promotion targeting at the group of women under 40 with differentiation from price, quality, and safety. In the price strategy, the early stage-high price strategy which sets 20~25% higher for self-sufficiency and 30~35% for present is desirable.

• Journal of Digital Convergence
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• v.10 no.9
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• pp.417-427
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• 2012

This study is to recognize the relationship between better life index, nursing performance and intents to leave among hospital nurses by comparison. From July 1to July 20, 2012. we collected survey results subjecting on total 700 nurses by random sampling of hospital-class medical institutes over 200 beds located on Busan & Gyeongnam, and analyzed final 677 copies. We recognized the degrees and the differences of happiness index, professionalism, intents to leave among hospital nerses and analyzed the factors impacting on intents to leave among hospital nerses through correlation analysis and multiple regression analysis between variables. The main result is as follows: First, the average of the item related to happiness index of nurse was 3.03 (5 points of scale) and the average score of professionalism was 3.09 (medium degree) but the average score of turnover intention was 3.35 (relatively high); Second, professionalism and turnover intention according to characteristics of subjects were significant statistically (p<0.05) and turnover intention indicated a significant negative relation with happiness index and professionalism; Third, a factor which mostly impact on turnover intention indicated a significant level (p<0.05) in professionalism, happiness index, general hospital, 2.01 to 2.5 million of average pay. Based on such results, as happiness index and professionalism are indicated as major factors to turnover intention, multi-dimensional viewpoint of follow-up study including further variables is required and the plan to apply nursing intervention program for reducing turnover intention is also required.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.39 no.2
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• pp.104-115
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• 2002

Core is the main component of inductor. This core should be classified into around 10 classes according to the value of inductance and Q. The coil should be winded with the outer-boundary of this core by different number of turns. Theses kind of precise inductors would be required in the future environment which PCs and communication devices demand more high speed and lower voltage level. It would be quite unefficient that only one core is classified once a time. There, it will be developed so that 10 cores are classified simultaneously. For the operation of classifying 10 cores once in a time, suppose 10 test instruments could be used. In this case, it would take much cost since a test instrument Is expensive. So, by using only one test instrument, it is really more desirable that this system is developed. Each core classified by 10 different classes is to be stored into the corresponding box through the corresponding rubber hose. 10 cores are passed on a serial line and are placed on each testing slot. Here, each core located at each slot is tested, and then the bowl located on the top of a step motor is moved into the corresponding spot by rotating step motor with some angles. Each bowl connected with the corresponding box through rubber hose. Actually 100 hoses are connected, 10 step motors are rotated at 10 different angles, so the size is really so big, the shape of connecting 100 hoses is so complicated. Therefore it is anticipated that the system would be going to be easily out of ordered. In this paper the main purpose is to make several suggestions to be able to work well in these kinds of being affected by the abnormal operation of motors and the flow of cores.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.6
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• pp.57-65
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• 2010

In this paper, we present a universal steganalysis scheme. The proposed method extract features of two types. First feature set is extracted from histogram characteristic of the wavelet subbands. Second feature set is determined by statistical moments of wavelet characteristic functions. 3-level wavelet decomposition is performed for stego image and cover image using the Haar wavelet basis. We extract one features from 9 high frequency subbands of 12 subbands. The number of second features is 39. We use total 48 features for steganalysis. Multi layer perceptron(MLP) is applied as classifier to distinguish between cover images and stego images. To evaluate the proposed steganalysis method, we use the CorelDraw image database. We test the performance of our proposed steganalysis method over LSB method, spread spectrum data hiding method, blind spread spectrum data hiding method and F5 data hiding method. The proposed method outperforms the previous methods in sensitivity, specificity, error rate and area under ROC curve, etc.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.16
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• pp.7129-7138
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• 2015

Background: The polycystic ovary syndrome (PCOS), characterized by hyperandrogenism and chronic anovulation, is a common endocrine disorder in women. PCOS, which is associated with polycystic ovaries, hirsutism, obesity and insulin resistance, is a leading cause of female infertility. In this condition there is an imbalance in female sex hormones. All the sequelae symptoms of PCOS gradually lead to cancer in the course of time. It is heterogeneous disorder of unknown etiology so it is essential to find the exact cause. Materials and Methods: In this study both invasive and non-invasive techniques were employed to establish the etiology. Diagnosis was based on Rotterdam criteria (hyperandrogenism, ovulatory dysfunction, PCOM) and multiparameters using buccal samples and dermatoglypic analysis and cytogenetic study for 10 cases and four age and sex matched controls. Results: In clinical analysis we have observed the mean value of total testosterone level was 23.6nmol/L, total hirsutism score was from 12-24, facial acne was found in in 70% patients with 7-12 subcapsular follicular cysts, each measuring 2-8 mm in diameter. In dermatoglypic analysis we observed increases in mean value ($45.9^{\circ}$) of ATD angle when compared with control group and also found increased frequency (38%) of Ulnar loops on both fingers (UU), (18%) whorls on the right finger and Ulnar loop on left finger (WU) and (16%) arches on right and left fingers (AA) were observed in PCOS patients when compared with control subjects. Features which could be applied as markers for PCOS patients are the presence of Ulnar loops in middle and little fingers of right and left hand. The buccal micronucleus cytome assay in exfoliated buccal cells, we found decrease in frequency of micronuclei and significant increases in frequency of karyolysed nuclei in polycystic ovarian syndrome patients. Chromosome aberration analysis revealed a significant increase in frequency of chromosome aberrations (CAs) in PCOS patients when compared with controls. Conclusions: From this present work it can be concluded that non-invasive technique like dermatoglypics analysis and buccal micronucleus cytome assays with exfoliated buccal cell can also be effective biomarkers for PCOS, along with increased CAs in lymphocytes as a sign of genetic instability. There is a hypothesis that micronuclei and chromosomal aberrations could have a predictive value for cancer. From this present work it can be concluded to some extent that non-invasive technique like dermatoglypics and buccal cell analysis can also be effective for diagnosis.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.1
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• pp.135-142
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• 2013

Contour detection is important for many computer vision applications, such as shape discrimination and object recognition. In many cases, local luminance changes turn out to be stronger in textured areas than on object contours. Therefore, local edge features, which only look at a small neighborhood of each pixel, cannot be reliable indicators of the presence of a contour, and some global analysis is needed. The novelty of this operator is that dilation is limited to Deluanary triangular. An efficient implementation is presented. The grouping algorithm is then embedded in a multi-threshold contour detector. At each threshold level, small groups of edges are removed, and contours are completed by means of a generalized reconstruction from markers. Both qualitative and quantitative comparison with existing approaches prove the superiority of the proposed contour detector in terms of larger amount of suppressed texture and more effective detection of low-contrast contour.

• Journal of agricultural medicine and community health
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• v.20 no.2
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• pp.149-156
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• 1995

This study was performed for 182 rural persons of patients who had admitted at National Masan Tuberculosis Hospital from 21th Feb to 18th Aug, 1994. We investigated diseased history based on the data according to the kind of occupation. The results were summarized as follows : The most common occupation was no occupation(35.2%). The most common age group was 5th decade(25.3%). By the age, the most common group in cases of no occupation was over 7th decade and under 5th decade, and agriculture was over 7th decade and 6th decade. Male(83.5%) were more than female, but wasn't significantly different. The most common group in the level of education was over the graduate of high school. The group that have ever drunken(p<0.05) and smoked(p<0.01) was significantly different in labour, service, agriculture, others. Family history, combined disease, symptom were no significantly different by occupation. Both lung fields on the chest X-ray was the most common site of invasion(82.4%). In the tests of AFB smear and culture, the differences according to the occupation were not. At the time of admission, the most common group in the state of treatment was initial treatment. The multi-drug resistance tuberculosis was no significantly different by occupation.

• Journal of the Korean Association of Geographic Information Studies
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• v.8 no.2
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• pp.157-165
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• 2005

The purpose of this study is to examine the relationship between land use patterns of riparian zones and water quality in the Geumho River watershed. A GIS database included digital land use maps (1:25,000), stream network extracted from digital topographic maps (1:5,000) and riparian zones maps by multi-buffering method. Pearson's correlation analysis was used to explain the relationship between the environmental conditions of a 30 meter buffer strip on each side and water quality. According to the result of investigation of riparian-level land use patterns, sub-watersheds on the lower Geumho River including Daegu metropolitan city were mainly developed as urban area such as residential, commercial and industrial ones, while sub-watersheds on the middle Geumho River and the main course of Nakdong River, agricultural ones such as a paddy, a dry field and an orchard. Meanwhile, the area-rate of riparian forests which play an important role in filtering nitrogen, phosphorus and sediment was estimated below the average 16%. The proportion of urban area in a 30 meter riparian bufferstrip had a negative correlation with water quality in each sub-watershed. But the proportion of forest area had a positive correlation with water quality. Henceforth, it is necessary to establish landscape planning for preparing and restoring the riparian buffer zones, concerning land form, soil type, the present land use pattern and economic aspects.

• Journal of Internet Computing and Services
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• v.21 no.4
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• pp.117-126
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• 2020

A maritime object detection system is an intelligent assistance system to maritime autonomous surface ship(MASS). It detects automatically floating debris, which has a clash risk with objects in the surrounding water and used to be checked by a captain with a naked eye, at a similar level of accuracy to the human check method. It is used to detect objects around a ship. In the past, they were detected with information gathered from radars or sonar devices. With the development of artificial intelligence technology, intelligent CCTV installed in a ship are used to detect various types of floating debris on the course of sailing. If the speed of processing video data slows down due to the various requirements and complexity of MASS, however, there is no guarantee for safety as well as smooth service support. Trying to solve this issue, this study conducted research on the minimization of computation volumes for video data and the increased speed of data processing to detect maritime objects. Unlike previous studies that used the Hough transform algorithm to find the horizon and secure the areas of interest for the concerned objects, the present study proposed a new method of optimizing a binarization algorithm and finding areas whose locations were similar to actual objects in order to improve the speed. A maritime object detection system was materialized based on deep learning CNN to demonstrate the usefulness of the proposed method and assess the performance of the algorithm. The proposed algorithm performed at a speed that was 4 times faster than the old method while keeping the detection accuracy of the old method.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.29 no.3
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• pp.162-168
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• 2017

Shallow-water bathymetry survey has been conducted using high definition color images obtained at the altitude of 100 m above sea level using a drone. Shallow-water bathymetry data are one of the most important input data for the research of beach erosion problems. Especially, accurate bathymetry data within closure depth are critically important, because most of the interesting phenomena occur in the surf zone. However, it is extremely difficult to obtain accurate bathymetry data due to wave-induced currents and breaking waves in this region. Therefore, optical remote sensing technique using a small drone is considered to be attractive alternative. This paper presents the potential utilization of image processing algorithms using multi-variable linear regression applied to red, green, blue and grey band images for estimating shallow water depth using a drone with HD camera. Optical remote sensing analysis conducted at Wolpo beach showed promising results. Estimated water depths within 5 m showed correlation coefficient of 0.99 and maximum error of 0.2 m compared with water depth surveyed through manual as well as ship-board echo-sounder measurements.