• Korean Journal of Fisheries and Aquatic Sciences
• /
• v.34 no.4
• /
• pp.315-319
• /
• 2001

In odor to improve preference to small red muscle fish such as saury, sardine, herring, etc., a new seasoning and conditioning process was experimented using kimchi seasoning ingredients and organic acids. The sensory profiles during 60 days of conditioning at $5^{\circ}C$ showed better results in dry salting than in wet salting. The additions of rice bran in dry salting gave advantageous effect on the sensory evaluation of conditioned saury with kimchi seasoning. The counts of remained fine bones and hardness of backbones after 60 days of conditioning were about $50\%\;and\;23\%$ in wet salted product, and $38\sim41\%$ and $11\sim14\%$ in dry salted product respectively, as compared to raw saury, The decomposition of protein to amino acids was more severe in wet salted product than in dry salted product. Histidine, leucine, glutamic acid, alanine, and valine in order were abundant in wet salted product, but histidine, glutamic acid, arginine, leucine, and alanine in order were contained plentifully in dry salted product.

• International Commerce and Information Review
• /
• v.19 no.2
• /
• pp.213-236
• /
• 2017

World trade has entered a stagnant state, protection trade measures are spread due to delayed economic recovery in developed countries, sluggish investment in emerging economies such as China, economic recession in resource exporting countries, and geopolitical and political uncertainties along with the election period in the US and other major industrialized countries. Thus, in the economic structure of our country with a focus on export, for small and medium enterprises to grow, efforts for having various markets are necessary. The importance of the trade insurance system, which can support the risk management of enterprises, is emphasized by the fact that the majority of SME exporters have a risk management level and a lack of corporate capacity to enter the global market. This study was surveyed with 87 small and medium export companies in South Korea. The purpose of this study is to verify the effect relationship how service quality of trade insurance and utilization of trade insurance impact on the risk management of trade payment and export performance. The research hypothesis and model was derived from the basis of existing theory and empirical research, and obtained the following results. Firstly, Service Quality of Trade Insurance showed positive (+) effect on Export Performance. Secondly, Utilization of Trade Insurance showed positive (+) effect on Risk Management of Trade Payment. Thirdly, Risk Management of Trade Payment showed positive (+) effect on Export Performance. This study is differentiated from previous research information by empirically evaluating the relationship between the risk management of trade payment and export performance through utilization of trade insurance. This study contributed to academic by examining the research on the risk management of trade insurance and also practically suggested the direction how small and medium export company is to take the advantage of the trade insurance.

• Korean Journal of Remote Sensing
• /
• v.34 no.6_2
• /
• pp.1251-1260
• /
• 2018

High-quality sea-ice surface models generated from aerial images can be used effectively as field data for developing satellite-based remote sensing methods but also as analysis data for understanding geometric variations of Arctic sea-ice. However, the lack of texture information on sea-ice surfaces can reduce the accuracy of image matching. In this paper, we analyze the performance of matching cost functions for homogeneous sea-ice surfaces as a part of high-quality sea-ice surface model generation. The matching cost functions include sum of squared differences (SSD), normalized cross-correlation (NCC), and zero-mean normalized cross-correlation (ZNCC) in image domain and phase correlation (PC), orientation correlation (OC), and gradient correlation (GC) in frequency domain. In order to analyze the matching performance for texture changes clearly and objectively, a new evaluation methodology based on the principle of object-space matching technique was introduced. Experimental results showed that it is possible to secure reliability and accuracy of image matching only when optimal search windows are variably applied to each matching point in textureless regions such as sea-ice surfaces. Among the matching cost functions, NCC and ZNCC showed the best performance for texture changes.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.21 no.1
• /
• pp.42-54
• /
• 2019

Crop models depend on a large number of input parameters including the cultivar parameters that represent the genetic characteristics of a given cultivar. The cultivar parameters have been estimated using high quality data for crop growth, which require considerable costs and efforts. The objective of this study was to examine the feasibility of using low quality data for the parameter estimation. In the present study, the cultivar parameters for cv. Shindongjin were estimated using the data obtained from the report of new cultivars development and research from 2005 to 2016. The root mean square errors (RMSE) of the heading dates were less than 3 days when the parameters associated with phenology were estimated. In contrast, the coefficient of determination for yield tended to be less than 0.1. The large errors incurred by the fact that no growth data collected over a season was used for parameter estimation. This suggests that detailed observation data needs to be prepared for parameter calibration, which would be aided by remote sensing approaches. The occurrence of natural disasters during a growing season has to be considered because crop models cannot take into account the effects of those events. Still, our results provide a reasonable range for the parameters, which could be used to set the boundary of a given parameter for cultivars similar to cv. Shindongjin in further studies.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.17 no.6
• /
• pp.1013-1024
• /
• 2022

In addition to the assessment measure of electric quality levels, load loss are also a factor in hindering the financial profits of electrical sales companies. Therefore, accurate analysis of load losses generated from distributed power networks is very important. The accurate calculation of load losses in the distribution line has been carried out for a long time in many research institutes as well as power utilities around the world. But it is increasingly difficult to calculate the exact amount of loss due to the increase in the congestion of distribution power network due to the linkage of distributed energy resources(DER). In this paper, we develop smart grid big data infrastructure in order to accurately analyze the load loss of the distribution power network due to the connection of DERs. Through the preprocess of data selected from the smart grid big data, we develop a load loss analysis model that eliminated 'veracity' which is one of the characteristics of smart grid big data. Our analysis results can be used for facility investment plans or network operation plans to maintain stable supply reliability and power quality.

• Korean journal of food and cookery science
• /
• v.21 no.4 s.88
• /
• pp.406-415
• /
• 2005

To evaluate the storage characteristics of Korean soups for the utilization of the Ready-Prepared Foodservice System, Yukkaejang(spicy beef and vegetable soup), Sagol-woogeojitang (bone soup with young cabbage), Kalbitang(beef short-ribs soup) and Seolleongtang(beef and bone soup) were prepared and their physico-chemical characteristics were investigated according to storage time and temperature$(4^{\circ}\;to\;20^{\circ}C)$ through analysis of pH, TBA values, Hunter color values, microbial counts, and sensory evaluation. No significant difference in pH was shown among the 4 kinds of soup while TBA values were significantly increased with storage time and temperature. Hunter color values(L, a and b values) of the Korean soups were significantly increased except Yukkaejang. In the sensory evaluation, appearance, color, flavor, taste, texture and overall acceptability of the soups decreased significantly with increasing storage time and temperature. Through correlation analysis between quality factors of treatments stored at $4^{\circ}$, the overall acceptability in Yukkaejang and Seolleongtang showed significant positive correlation with appearance, color, flavor and texture. The evaluated shelf-life of all four Korean soups was within 3 days at $10^{\circ}$, suggesting that Korean soups are applicable to ready-prepared foodservice system.

• Journal of the Korean Society for information Management
• /
• v.36 no.4
• /
• pp.161-181
• /
• 2019

People begin to recognize sexual orientation or gender identity in adolescence, and adolescents frequently use an accessible and anonymous anonymity knowledge retrieval community to explore sensitive health information about gender. This study attempted to observe their information search behavior based on questions and answers about adolescents' gender identity in the knowledge retrieval community. First, we wanted to examine their information needs and to investigate what factors they preferred to answer by comparing the characteristics of the answers adopted with the non-adopted answers among the answers provided in the questions they shared. To this end, Naver, Korea's representative knowledge search community. In Knowledge-iN, a total of 358 sets of data were analyzed, consisting of responses adopted over three years from January 2016 to December 2018. As a result, adolescents with concerns about gender identity demanded information about definition or confusion about gender identity. In the responses adopted by the users, the factors that gave empathy and positive feelings were higher than those that were not adopted, whereas the negative responses were higher in the unaccepted answers. This study is meaningful in that it analyzes the information needs and information search behaviors of adolescents with no established gender identity, expands the discussion in the information search field, and confirms cognitive and emotional models for information evaluation of health information users. Also, based on the research results, we propose practical implications for effective information services on gender identity that social media should provide to young people.

• Journal of Global Scholars of Marketing Science
• /
• v.16 no.3
• /
• pp.169-189
• /
• 2006

The product categories that can be sold on-line are expanding. It is interesting to see which product categories have more sales possibilities on internet. Small-sized firms' products have low distribution coverage, low brand recognition, bigger dispersion in the perception on the values which consist of quality vs. price, and higher possibilities of perceived purchase risks. Since on-line shopping is supposed to provide opportunities to small-sized firms that have low distribution and brand power, it is quite necessary to evaluate the fitness of on-line sales for small-sized firms' product categories. There are virtually no research studies on the on-line sales for small-sized firms' product categories. In this study, based on the integration of SEC, FCB, and related concepts, we develop new theoretical framework and test the fitness of on-line sales for small-sized firms' product categories by conducting empirical analysis. The empirical results on 17 product categories show that SEC, FCB, purchase risks, brand factors are somewhat related. Unlike previous studies, since the fitness of SEC and on-line sales are not clearly shown, we need to consider those problems within inter-related multiple frameworks. That is, it is necessary to evaluate the fitness of on-line sales after defining the product categories within the integrated multiple frameworks rather than within the single framework.

• Analytical Science and Technology
• /
• v.16 no.6
• /
• pp.475-482
• /
• 2003

Uncertainty of final measurement results considering main uncertainty sources being in dioxin analysis of a blood sample was estimated. 'The Guide to the Expression of Uncertainty in Measurement' was suggested for accomplishment of this study. After uncertainties for the 11 compounds detected in this experiment of the 17 target compounds of dioxin and furan were calculated considering the uncertainty sources of each step, uncertainty for the total dioxin concentration was estimated by combining these values. The concentration of dioxin in blood sample was expressed as $0.0746{\pm}0.0074pg$ I-TEQ/g weight or $20.68{\pm}2.04pg$ I-TEQ/g lipid, including the uncertainty values obtained in this way. The former expression indicates the conversion concentration into the sample weight and the latter one indicates the conversion concentration into the lipid weight. The quality of measured analytical results could be assured quantitatively by estimating uncertainty of measurement results and showing the range of measurand.

• Korean Journal of Remote Sensing
• /
• v.37 no.3
• /
• pp.463-473
• /
• 2021

Recently, United States Geological Survey (USGS) distributed Landsat 8 Collection 2 Level 2 Science Product (L2SP). This paper aims to derive land surface temperature from L2SP and to validate it. Validation is made by comparing the land surface temperature with the one calculated from Landsat 8 Collection 1 Level 1 Terrain Precision (L1TP) and the one from Automated Synoptic Observing System (ASOS). L2SP is calculated from Landsat 8 Collection 2 Level 1 data and it provides land surface temperature to users without processing surface reflectance data. Landsat 8 data from 2018 to 2020 is collected and ground sensor data from eight sites of ASOS are used to evaluate L2SP land surface temperature data. To compare ground sensor data with remotely sensed data, 3×3 grid area data near ASOS station is used. As a result of analysis with ASOS data, L2SP and L1TP land surface temperature shows Pearson correlation coefficient of 0.971 and 0.964, respectively. RMSE (Root Mean Square Error) of two results with ASOS data is 4.029℃, 5.247℃ respectively. This result suggests that L2SP data is more adequate to acquire land surface temperature than L1TP. If seasonal difference and geometric features such as slope are considered, the result would improve.