• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.33 no.2
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• pp.109-117
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• 1997

In order to hold the behavior of fish school to the set-net, a series of tag-recapture experiments were carried out in two fishing grounds of the middle sized set-nets which were located in 20m depth on the coast of Keojedo and Namhaedo in the Southern part of Korea from September to October in 1996. In the experiments, the leading ability of the leader and the fish court and the recapturing ability of the bag nets were checked out for the six species of fish in method of discharging the tagged fishes at side points of leader, and the middle points of the fish court and the bag nets in a hauling step, and recapturing them at the bag nets in the next hauling. The results obtained are as follows; 1. The ratio recaptured at the both side bag-nets in the next hauling after discharged from the fish court in the previous step was 20.3% in small size of mackerel Scomber japonicus, 16.2% in small size of horse mackerel Trachurus japonicus, 10.3% in black sea-bream Acanthopagrus schlegelii, 19.1% in red barracuda Syhyraena pinguis, 16.3% in halfbeak Hemiramphus sajori, 20.0% in gizzard shad Konosirus punctatus individually, and totally in six species of fish, that was 17.2%. 2. The ratio recaptured at the same bag net after discharged in the both side bag-nets was 21.7% in small size of mackerel, 21.5% in small size of horse mackerel, 6.7% in black sea-bream, 17.8% in red barracuda, 16.8 in half-beak, 19.1% in gizzard shad individually, and totally in six species of fish, that was 18.8%. 3. The leading ratio from side points of the leader departed from door in 25m to fish court was 58.9% in small size of mackerel, 74.6% in small size of horse mackerel, 38.0% in black sea-bream, 54.7% in red barracuda, 58.6% in half-beak, 54.5% in gizzard shad individually, and totally in six species of fish, that was 57.8%. So it was assumed that the leader of set-net was very effective in leading to the swimming direction of small size of mackerel, small size of horse mackerel, red barracuda, half-beak and gizzard shad. 4. Red barracuda, half-beak and gizzard shad entered into bag net of upstream in large numbers than bag net of downstream, and small size of horse mackerel and black sea-bream entered into bag net of downstream in large numbers than bag net of upstream. 5. Small size of mackerel and small size of horse mackerel had high remaining rate in the bag net of downstream, and black sea-bream, red barracuda and half-beak had high remaining rate in the bag net of upstream.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.11 no.1
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• pp.25-37
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• 1978

Since 1976 the catches of sardine increased rapidly in Korea. However due to the poor facilities of preservation, most sardine landed was used only for fish meal as feeds. The aims of this study are to investigate the processing of sardine as a protein. concentrate and to solve related problems under our particular circumstances. Using the ethyl alcohol and isopropyl alcohol, the storage effect for further processing, the optimum processing conditions of sardine protein concentrate and amino acid composition of the product were determined. The utilization of sardine protein ,concentrate as a supplement of bread and noodles was also studied. Chopped sardine meat could be stored in isopropyl and ethyl alcohol without significant deterioration as a raw material for tile further processing. High qualify sardine Protein concentrate could be produced by the method, that is five times five minutes extraction with isopropyl or ethyl alcohol at $80^{\circ}C$ under adequate mixing. In the first step of the extraction, the solvent was added as much as 10 times tile sample amount and the equal volume of additional solvent was also used for the second to fifth step extraction. In the products extracted using isopropyl alcohol and ethyl alcohol, the yields of sardine protein concentrate were $21.2\%$ and $20.3\%$ respectively, and the dry basis contents of protein in the two products were $80.5\%$ and $75.8\%$, the lipid being $0.22\%$ and $0.27\%$ respectively. Isoproyl alcohol was superior to superior alcohol for the extraction of fresh sardine. In amino acid composition of sardine protein concentrate, no difference was found between the products of isopropyl and ethyl alcohol extraction except a little difference in the amount of amino acid between them. In the supplementation of bread and noodles, taste panel showed that supplemented bread and noodles were well accepted when $3\%$ of wheat flour was replaced by sardine protein concentrate.

• Journal of the Korean Society of Costume
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• v.41
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• pp.95-105
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• 1998

SOO-BAL(Hair Style) is a method Which match hair style to face and clothes with using hair covering and protecting the head. Also SOO-BAL includes personal ornaments using to avoid one's hair be disheveled. In a standpoint of beauty and spirit, etiquette SOO-BAL is a very important thing as one being dressed up. Until now, since just a form of hair style have been studied, hair styling process is nothing to be known and studied. Time after time, our unique traditional SOO-BAL is forgotten with clothes and then this th-esis will be classified hair styling form follow-ing a form of hair style in royal palace of the C-hosun dynasty. According to the record of HAE DONG HISTORY, it shows the same of attire between Ko-rean and chinese style in ae of the chosun. The reason in that there were no any certain boundary border and the interaction of culture between two countries was happened spontaneously at ancient time like the GOCHO-SUN age. Until the period of the three states, the korean attire be changed had gone with chinese one s-imilarly. The chinese form gave to influence on the EONJIN MEURI·POON-GI-MYEONG MEURI·JJO-CJIN MEURI·MOOK-EUN GOONG-BAL MEURI·OL-LIN MEURI·SSANGSANG-TU ME-URI be drawn wall painting in the KOKUR-YU. And a gold chignon accesso-ry unearthed in a MOO-RYOUNG royal mausoleum is proof of the korean attrire be changed with chinese. In the shilla dynasty at three years after Cjin-Deuk(A.D. 649) reign. It was recorded that the dynasty let women wear the form of chinese attire. Also in the koryo dyn-asty, a rod-like hairpin (BIN-YEU) and DANG-GI employing EON-JIN MEURI was used. The SOO-BAL based on the Confucianism had lots of regulations which limited to use ornaments with classes of society in the CHOSUN dynasty. Until YOUNG CHO and CHUNG CHO period. EONJIN MEURI be decorated GACHAE was announced by dynasty as ind-ulging in luxury. Women of yangban used a rod-like hairpin and a chignon accessory made by jewerly. And 1-owly women weared a rod-like hairpin made of born and wood to perfom EONJIN MEURI with PUNCHAE. Most unmarried women decorated with DDA-AH-NEULIN MEURI, GUI-MIT MEURI, specially in palace with SAE-ANG MEURI. At palace, one put on a full dress with KEUN MEURI, and a simple dress with ER-YEO MEURI be decorated DDERL-JAM The CHOP-JI MEURI manifested social rank, class. Kids at CHO-SUN age had BA-DUK-PANMEURI and JONG-JONG MEURI. The ornament things are GACHE, DDERL JAM with EON-JIN M-EURI, and all kinds of rod-like hairpin and chignon accessory used in JJOK MEURI. IN DANGGE, JE-BI-BURI DANGGI used by ummarried women. DO-TOO-RAK DANGGI and AP DANGGI on a dress suit, and BE-SSI DANGGI used by 3∼4 years ungrown kids etc. were used. And at palace, kinds of CHUPJI used with JJOK MEURI showed social rank. In CHOSUN age, women want to keep shiny hair washed at TA-NO festival day, a treatment of bald hair used a forked remedy. In CHOSUN age, woman Soo-Bal hair style has DAE-SOO·DDEU-KOO-JI MEURI·CHO-P-GI MEURI·EON-JIN MEURI·SAE-ANG MEURI· and so on. We could find out Soo-Bal was developed very well by these variety hair styles. I attatched all of the hair style pictures step by step, and also explained detail my research foll owing these pictures.

• Progress in Medical Physics
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• v.15 no.1
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• pp.1-8
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• 2004

Patient dose verification is one of the most Important responsibilities of the physician in the treatment delivery of radiation therapy. For the task, it is necessary to use an accurate dosimeter that can verify the patient dose profile, and it is also necessary to determine the physical characteristics of beams used in intensity modulated radiation therapy (IMRT) The Beam Intensity Scanner (BInS) System is presented for the dosimetric verification of the two dimensional photon beam. The BInS has a scintillator, made of phosphor Terbium-doped Gadolinium Oxysulphide (Gd$_2$O$_2$S:Tb), to produce fluorescence from the irradiation of photon and electron beams. These fluoroscopic signals are collected and digitized by a digital video camera (DVC) and then processed by custom made software to express the relative dose profile in a 3 dimensional (3D) plot. As an application of the BInS, measurements related to IWRT are made and presented in this work. Using a static multileaf collimator (SMLC) technique, the intensity modulated beam (IMB) is delivered via a sequence of static portals made by controlled leaves. Thus, when static subfields are generated by a sequence of abutting portals, the penumbras and scattered photons of the delivered beams overlap in abutting field regions and this results in the creation of “hot spots”. Using the BInS, inter-step “hot spots” inherent in SMLC are measured and an empirical method to remove them is proposed. Another major MLC technique in IMRT, the dynamic multileaf collimator (DMLC) technique, has different characteristics from SMLC due to a different leaf operation mechanism during the irradiation of photon and electron beams. By using the BInS, the actual delivered doses by SMLC and DMLC techniques are measured and compared. Even if the planned dose to a target volume is equal in our experimental setting, the actual delivered dose by DMLC technique is measured to be larger by 14.8% than that by SMLC, and this is due to scattered photons and contaminant electrons at d$_{max}$.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.46-46
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• 2011

Severe sediment erosion during floods occur disaster and economic losses, but general sediment erosion is basic mechanism to move sediment from upstream to downstream river. In addition, it is important process to change river form. Check dam, which is constructed in mountain stream, play a vital role such as control of sudden debris flow, but it has negative aspects to river ecosystem. Now a day, check dam of open type is an alternative plan to recover river biological diversity and ecosystem through sediment transport while maintaining the function of disaster control. The purpose of this paper is to verify sediment erosion progress of river bottom and bank as first step for river restoration after dam slit by cross-sectional shear stress and critical shear stress. Study area is upstream reach of slit check dam in mountain stream, named Wasada, in Japan. The check dam was slit with two passages in August, 2010. The transects were surveyed for four upstream cross-sections, 7.4 m, 34 m, 86 m, and 150 m distance from dam in October 2010. Sediment size was surveyed at river bottom and bank. Sediment of cobble size was found at the wetted bottom, and small size particles of sand to medium gravel composed river bank. Discharge was $2.5\;m^3/s$ and bottom slope was 0.027 m/m. Excess shear stress (${\tau}_{ex}$) was calculated for hydraulic erosion by subtracting the values of critical shear stress (${\tau}_{c}$) from the value of shear stress (${\tau}$) at river bottom and bank (${\tau}_{ex}=\tau-{\tau}_c$). Shear stress of river bottom (${\tau}_{bottom}$) was calculated using the cross-sectional shear stress, and bank shear stress (${\tau}_{bank}$) was calculated from the method of Flintham and Carling (1988). $${\tau}_{bank}={\tau}^*SF_{bank}((B+P_{bed})/(2^*P_{bank}))$$ where $SF_{bank}=1.77(P_{bed}/p_{bank}+1.5)^{-1.4}$, B is the water surface width, $P_{bed}$ and $P_{bank}$ are wetted parameter of the bed and bank. Estimated values for ${\tau}_{bottom}$ for a flow of $2.5\;m^3/s$ were lower as 25.0 (7.5 m cross-section), 25.7 (34 m), 21.3 (86 m) and 19.8 (150 m), in N/$m^2$, than critical shear stress (${\tau}_c=62.1\;N/m^2$) with cobble of 64 mm. The values were insufficient to erode cobble sediment. In contrast, even if the values of ${\tau}_{bank}$ were lower than the values for ${\tau}_{bottom}$ as 18.7 (7.5 m), 19.3 (34 m), 16.1 (86 m) and 14.7 (150 m), in N/$m^2$, excess shear stresses were calculated at the three cross-sections of 7.5 m, 34 m, and 86 m distances compare with ${\tau}_c$ is 15.5 N/$m^2$ of 16mm gravel. Bank shear stresses were sufficient for erosion of the medium gravel to sand. Therefore there is potential to erode lateral bank than downward erosion in a flow of $2.5\;m^3/s$. Undercutting of the wetted bank can causes bank scour or collapse, therefore this channel has potential to become wider at the same time. This research is about a potential of sediment erosion, and the result could not verify with real data. Therefore it need next step for verification. In addition an erosion mechanism for river restoration is not simple because discharge distribution is variable by snow-melting or rainy season, and a function for disaster control will recover by big precipitation event. Therefore it needs to consider the relationship between continuous discharge change and sediment erosion.

• Journal of Intelligence and Information Systems
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• v.25 no.3
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• pp.239-251
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• 2019

Statistical methods such as moving averages, Kalman filtering, exponential smoothing, regression analysis, and ARIMA (autoregressive integrated moving average) have been used for stock market predictions. However, these statistical methods have not produced superior performances. In recent years, machine learning techniques have been widely used in stock market predictions, including artificial neural network, SVM, and genetic algorithm. In particular, a case-based reasoning method, known as k-nearest neighbor is also widely used for stock price prediction. Case based reasoning retrieves several similar cases from previous cases when a new problem occurs, and combines the class labels of similar cases to create a classification for the new problem. However, case based reasoning has some problems. First, case based reasoning has a tendency to search for a fixed number of neighbors in the observation space and always selects the same number of neighbors rather than the best similar neighbors for the target case. So, case based reasoning may have to take into account more cases even when there are fewer cases applicable depending on the subject. Second, case based reasoning may select neighbors that are far away from the target case. Thus, case based reasoning does not guarantee an optimal pseudo-neighborhood for various target cases, and the predictability can be degraded due to a deviation from the desired similar neighbor. This paper examines how the size of learning data affects stock price predictability through k-nearest neighbor and compares the predictability of k-nearest neighbor with the random walk model according to the size of the learning data and the number of neighbors. In this study, Samsung electronics stock prices were predicted by dividing the learning dataset into two types. For the prediction of next day's closing price, we used four variables: opening value, daily high, daily low, and daily close. In the first experiment, data from January 1, 2000 to December 31, 2017 were used for the learning process. In the second experiment, data from January 1, 2015 to December 31, 2017 were used for the learning process. The test data is from January 1, 2018 to August 31, 2018 for both experiments. We compared the performance of k-NN with the random walk model using the two learning dataset. The mean absolute percentage error (MAPE) was 1.3497 for the random walk model and 1.3570 for the k-NN for the first experiment when the learning data was small. However, the mean absolute percentage error (MAPE) for the random walk model was 1.3497 and the k-NN was 1.2928 for the second experiment when the learning data was large. These results show that the prediction power when more learning data are used is higher than when less learning data are used. Also, this paper shows that k-NN generally produces a better predictive power than random walk model for larger learning datasets and does not when the learning dataset is relatively small. Future studies need to consider macroeconomic variables related to stock price forecasting including opening price, low price, high price, and closing price. Also, to produce better results, it is recommended that the k-nearest neighbor needs to find nearest neighbors using the second step filtering method considering fundamental economic variables as well as a sufficient amount of learning data.

• Korean Journal of Remote Sensing
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• v.38 no.6_1
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• pp.1505-1514
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• 2022

Image matching is a crucial preprocessing step for effective utilization of multi-temporal and multi-sensor very high resolution (VHR) satellite images. Deep learning (DL) method which is attracting widespread interest has proven to be an efficient approach to measure the similarity between image pairs in quick and accurate manner by extracting complex and detailed features from satellite images. However, Image matching of VHR satellite images remains challenging due to limitations of DL models in which the results are depending on the quantity and quality of training dataset, as well as the difficulty of creating training dataset with VHR satellite images. Therefore, this study examines the feasibility of DL-based method in matching pair extraction which is the most time-consuming process during image registration. This paper also aims to analyze factors that affect the accuracy based on the configuration of training dataset, when developing training dataset from existing multi-sensor VHR image database with bias for DL-based image matching. For this purpose, the generated training dataset were composed of correct matching pairs and incorrect matching pairs by assigning true and false labels to image pairs extracted using a grid-based Scale Invariant Feature Transform (SIFT) algorithm for a total of 12 multi-temporal and multi-sensor VHR images. The Siamese convolutional neural network (SCNN), proposed for matching pair extraction on constructed training dataset, proceeds with model learning and measures similarities by passing two images in parallel to the two identical convolutional neural network structures. The results from this study confirm that data acquired from VHR satellite image database can be used as DL training dataset and indicate the potential to improve efficiency of the matching process by appropriate configuration of multi-sensor images. DL-based image matching techniques using multi-sensor VHR satellite images are expected to replace existing manual-based feature extraction methods based on its stable performance, thus further develop into an integrated DL-based image registration framework.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.6 s.312
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• pp.28-35
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• 2006

Statistical models of shape variability based on active shape models (ASMs) have been successfully utilized to perform segmentation and recognition tasks in two-dimensional (2D) images. Three-dimensional (3D) model-based approaches are more promising than 2D approaches since they can bring in more realistic shape constraints for recognizing and delineating the object boundary. For 3D model-based approaches, however, building the 3D shape model from a training set of segmented instances of an object is a major challenge and currently it remains an open problem in building the 3D shape model, one essential step is to generate a point distribution model (PDM). Corresponding landmarks must be selected in all1 training shapes for generating PDM, and manual determination of landmark correspondences is very time-consuming, tedious, and error-prone. In this paper, we propose a novel automatic method for generating 3D statistical shape models. Given a set of training 3D shapes, we generate a 3D model by 1) building the mean shape fro]n the distance transform of the training shapes, 2) utilizing a tetrahedron method for automatically selecting landmarks on the mean shape, and 3) subsequently propagating these landmarks to each training shape via a distance labeling method. In this paper, we investigate the accuracy and compactness of the 3D model for the human liver built from 50 segmented individual CT data sets. The proposed method is very general without such assumptions and can be applied to other data sets.

• The Korean Journal of Nuclear Medicine Technology
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• v.17 no.1
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• pp.18-24
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• 2013

Purpose: Myocardial perfusion SPECT using $^{201}Tl$ is an important method for viability of left ventricle and quantitative evaluation of cardiac function and now various reconstruction methods are used to improve the image quality. But in case of small sized heart, you should always be careful because of the Partial Volume Effect which may cause errors of quantitative indices at the reconstruction step. So, In this study, we compared those quantitative indices of left ventricle according to the reconstruction method of myocardial perfusion SPECT with the Echocardiography and verified the degree of the differences between them. Materials and Methods: Based on ESV 30 mL of Echocardiography, we divided 278 patients (male;98, female;188, Mean age;$65.5{\pm}11.1$) who visited the Asan medical center from February to September, 2012 into two categories; below the criteria to small sized heart, otherwise, normal or large sized heart. Filtered and output each case, we applied the method of FBP and OSEM to each of them, and calculated EDV, ESV and LVEF, and we conducted statistical processing through Repeated Measures ANOVA with indices that measured in Echocardiography. Results: In case of men and women, there were no significant difference in EDV between FBP and OSEM (p=0.053, p=0.098), but in case of Echocardiography, there were meaningful differences (p<0.001). The change of ESV especially women in small sized heard, significant differences has occurred among FBP, OSEM and Echocardiography. Also, in LVEF, there were no difference in men and women who have normal sized heart among FBP, OSEM and Echocardiography (p=0.375, p=0.969), but the women with small sized heart have showed significant differences (p<0.001). Conclusion: The change in quantitative indices of left ventricle between Nuclear cardiology image reconstruction, no difference has occurred in the patients with normal sized heart but based on ESV, under 30 mL of small sized heart, especially in female, there were significant differences in FBP, OSEM and Echocardiography. We found out that overestimated LVEF caused by PVE can be reduced in average by applying OSEM to all kinds of gamma camera, which are used in analyzing the differences.

• FLOWER RESEARCH JOURNAL
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• v.18 no.1
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• pp.1-8
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• 2010

Sensitivities of PLBs of four Phalaenopsis cultivars, P. 'Taisuco Windian', P. 'Nancy Amour', P. 'Pink Twilight' and P. 'Taipei Gold' to kanamycin, spectinomycin and hygromycin at different concentrations (0, 25, 50, 100, 200, and $400mg{\cdot}L^{-1}$) were examined. Hygromycin was favorable for selecting the transformants in the genetic transformation of Phalaenopsis as PLBs of four cultivars were all dead at even $25mg{\cdot}L^{-1}$ hygromycin. Responses of PLBs of P. 'Maki Watanabe' and P. 'Brother Lawrence' to DL-phosphinothricin (PPT) were determined at different concentrations (0, 0.1. 0.25, 0.5, 1.0, 2.0, 2.5, and $5.0mg{\cdot}L^{-1}$) and $0.5mg{\cdot}L^{-1}$ PPT was thought to be suitable for selecting the transformants of Phalaenopsis. The optimum conditions for Agrobacterium cocultivation with Phalaenopsis PLBs were examined using a two-step cocultivation method in Dtps. 'City Girl' and A. tumefaciens LBA4404. In the first infection period in a 1 : 10 suspension of Agrobacterium to a VW medium, 1 hr infection showed the highest PLB survival ratio. And then, PLBs were cocultivated with a bacterial strain and a 3-day cocultivation period was better for Phalaenopsis PLBs than a prolonged period. Agrobacterium tumefaciens strains LBA4404 (pTOK233) and EHA105 (pGA643) were used to compare their efficiency on the genetic transformation of Phalaenopsis PLBs. The PLBs infected with EHA105 survived more than those infected with LBA4404 after two days in a dark condition and two weeks in light condition on a selective medium. About 1,000 PLBs for each of P. 'Maki Watanabe' and P. 'Brother Lawrence', and each bacterial strain of AGL1 (pCAMBIA3301) and LBA4404 (pTOK233) were used for the regeneration of transgenic plants. The bacterial strain AGL1 had a higher genetic transformation efficiency than LBA4404, with no significant difference between cultivars. In this study, 11 hygromycin-resistant plantlets and 32 PPT-resistant plantlets were produced, but these putative transgenic plantlets need further examinations.