• Journal of the Korean Society of Marine Environment & Safety
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• v.30 no.4
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• pp.308-316
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• 2024

Maintaining the appropriate number of national seafarers is essential for securing the competitiveness of maritime industry and security in Korea. However, the number of national seafarers in Korea has been decreased continuously recently. The government recognizes the repercussion of this issue and has been attempting to solve it. One of the most significant reasons contributing to the rapid decrease in national seafarers is presumed to be the high initial turnover rate due to the decreased preference for maritime careers among people in the 20s and 30s. Therefore, plans have been devised to prepare various policies that allow young people to select long-term boarding. This study analyzed the determinants of long-term boarding decisions among students enrolled in the Maritime College of 'M' University and verifies the relationship with the desired boarding period. Additionally, the crew composition (CC), long-term planning (LP), work environment (WE), and family environment (FE) were derived as the determinants of long-term boarding recognized by prospective seafarers. Among them, LP and WE significantly affect the desired boarding period, thus suggesting that the stronger the perception toward long-term planning and the more insensitive one is to the work environment, the longer is the desired boarding period. In terms of group differences in the perception of long-term boarding, analysis results show that the several determinants of long-term boarding are recognized differently depending on gender. This study may facilitate the preparation of factors and group-specific policy measures to promote long-term boarding among prospective seafarers.

• Journal of the Society of Naval Architects of Korea
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• v.61 no.4
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• pp.267-277
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• 2024

The Sortie Generation Rate (SGR) is a critical performance indicator for carrier-based aircraft and is a key factor for the carrier design process. This study aims to analyze the factors that affect SGR and establish a representative Sortie Generation Process (SGP) along with simulation results to calculate SGR for a naval ship equipped to carry aircraft. Detailed SGR factors are identified from the perspectives of the aircraft, aviation personnel, and aircraft carrier during the flight preparation stage, and the SGP is established accordingly. As a representative, Korean Navy's CVX basic design is chosen for detailed analysis. The physical dimension and spots for the deck design with time and probabilistic data of SGP are considered to develop a queueing network model for SGR calculation. To consider the specific probabilistic features, the model was solved with discrete event simulation tools(SimPy and AnyLogic) where the results show great agreement. Such findings on SGR factors and calculation are expected to be incorporated in the future development of SGR calculation algorithms and also present guidelines for proper design of aircraft carrier based on concrete operation concept.

• Research in Plant Disease
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• v.30 no.3
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• pp.288-293
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• 2024

Fusarium basal rot (FBR), caused by the ascomycete fungus Fusarium oxysporum, is an economically important disease of onion worldwide. The most economical and effective way to manage FBR would be the use of FBR resistant onion cultivars. This study was carried out to develop a rapid screening method for resistant onion cultivars in seedling stage. We used the F. oxysporum 19-385 isolate, which causes damping-off in onion seedlings and basal rot in onion bulbs. We optimized broth incubation and medium composition for the production of inoculum, and determined conidial concentration for the preparation of F. oxysporum infected soil. Ten commercial cultivars of onion were evaluated the seedling survival rates and heights by infected soil inoculation methods. As a result, 'K-force' was the most resistant cultivar with 97.4% of relative seedling survival rate against the pathogen, whereas 'Sunpower' was the most susceptible cultivar with 20.0% of relative seedling survival rate.

• Journal of Animal Environmental Science
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• v.18 no.3
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• pp.257-266
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• 2012

Near infrared reflectance spectroscopy (NIRS) has become increasingly used as a rapid, accurate method of evaluating some chemical constituents in cereal and dired animal forages. Analysis of forage quality by NIRS usually involves dry grinding samples. Costs might be reduced if samples could be analyzed without drying or grinding. The objective of this study was to investigate effect of sample preparations on prediction ability of chemical composition and fermentation parameter for Italian ryegrass silages by NIRS. A population of 147 Italian ryegrass silages representing a wide range in chemical parameters were used in this investigation. Samples were scanned at 1nm intervals over the wavelength range 680-2500 nm and the optical data recorded as log 1/Reflectance (log 1/R) and scanned in oven-dried grinding and fresh ungrinding condition. The spectral data were regressed against a range of chemical parameters using partial least squares (PLS) multivariate analysis in conjunction with four spectral math treatments to reduced the effect of extraneous noise. The optimum calibrations were selected on the basis of minimizing the standard error of cross validation (SECV) and maximizing the correlation coefficient of cross validation (${R^2}_{CV}$). The results of this study show that NIRS predicted the chemical parameters with high degree of accuracy in oven-dried grinding treatment except for moisture contents. Prediction accuracy of the moisture contents was better for fresh ungrinding treatment (SECV 1.37%, $R^2$ 0.96) than for oven-dried grinding treatments (SECV 4.31%, $R^2$ 0.68). Although the statistical indexes for accuracy of the prediction were the lower in fresh ungrinding treatment, fresh treatment may be acceptable when processing is costly or when some changes in component due to the processing are expected. Results of this experiment showed the possibility of NIRS method to predict the chemical composition and fermentation parameter of Italian ryegrass silages as routine analysis method in feeding value evaluation and for farmer advice.

• Journal of the Korean Society of Food Science and Nutrition
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• v.43 no.4
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• pp.544-549
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• 2014

In this study, the permeation efficiency (PE) of sea tangle (Laminaria japonica) extract (STE) into egg using the temperature change method (TCM) and pressure was investigated. STE was prepared in a volume of water equal to 10 times the weight of the sea tangle at $100^{\circ}C$ over a 3 hr period. The PE of iodine as a representative component of the STE as well as the total polyphenol content at ambient pressure were determined as follows: 1) after soaking in the STE at 30, 40, and $50^{\circ}C$ for 3 hr, and 2) after soaking in the STE at $4^{\circ}C$ immediately after soaking in distilled water at $50^{\circ}C$ for 1, 2, and 3 hr (TCM), respectively. The PE of iodine as well as the total polyphenol content improved as the temperature of the STE increased (P<0.05). The permeation of iodine was more rapid, and the total polyphenol content increased with the TCM (121 ${\mu}g/100$ mg and 1.74 mg/mL for 3 hr, respectively) compared to without the TCM (72 ${\mu}g/100$ mg and 1.48 mg/mL for 3 hr, respectively), and the highest PE was observed with the TCM after soaking at $50^{\circ}C$ for 3 hr. At a pressure of 5.0 MPa, the PE was more rapid with the TCM (139 ${\mu}g/100$ mg and 1.74 mg/mL for 90 min, respectively) than without the TCM (105 ${\mu}g/100$ mg and 1.56 mg/mL for 90 min, respectively). Consequentially, these results suggest that the preparation of seasonings and functional eggs using various components and bioactive substances is possible by the TCM.

• Proceedings of the Technology Innovation Conference
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• 1998.06a
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• pp.116-127
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• 1998

The Necessity of Cyber University. Within the rapidly changing environment of global economics, the environment of higher education in the universities, also, has been, encountering various changes. Popularization on higher education related to 1lifetime education system, putting emphasis on the productivity of education services and the acquisition of competitiveness through the market of open education, the breakdown of the ivory tower and the Multiversitization of universities, importance of obtaining information in the universities, and cooperation between domestic and oversea universities, industry and educational system must be acquired. Therefore, in order to adequately cope wi th these kinds of rapid changes in the education environment, operating Cyber University by utilizing various information technologies and its fixations such as Internet, E-mail, CD-ROMs, Interact ive Video Networks (Video Conferencing, Video on Demand), TV, Cable etc., which has no time or location limitation, is needed. Using informal ion and telecommunication technologies, especially the Internet is expected to Or ing about many changes in the social, economics and educational area. Among the many changes scholars have predicted, the development and fixations of Distant Learning or Cyber University was the most dominant factor. In the case of U. S. A., Cyber University has already been established and in under operation by the Federate Governments of 13 states. Any other universities (around 500 universities has been opened until1 now), with the help of the government and private citizens have been able to partly operate the Cyber University and is planning on enlarging step-by-step in the future. It could be seen not only as U. S. A. trying to elevate its higher education through their leading information technologies, but also could be seen as their objective in putting efforts on subordinating the culture of the education worldwide. UTRA University in U. S. A., for example, is already exporting its class lectures to China, and Indonesia regions. Influenced by the Cyber University current in the U.S., the Universities in Korea is willing .to arrange various forms of Cyber Universities. In line with this, at JUNAM National University, internet based Cyber University, which has set about its work on July of 1997, is in the state of operating about 100 Cyber Universities. Also, in the case of Hanam University, the Distant Learning classes are at its final stage of being established; this is a link in the rapid speed project of setting an example by the Korean Government. In addition, the department of education has selected 5 universities, including Seoul Cyber Design University for experimentation and is in the stage of strategic operation. Over 100 universities in Korea are speeding up its preparation for operating Cyber University. This form of Distant Learning goes beyond the walls of universities and is in the trend of being diffused in business areas or in various training programs of financial organizations and more. Here, in the hope that this material would some what be of help to other Universities which are preparing for Cyber University, I would 1ike to introduce some general concepts of the components forming Cyber University and Open Education System which has been established by JUNAM University. System of Cyber University could be seen as a general solution offered by tile computer technologies for the management on the students, Lectures On Demand, real hour based and satellite classes, media product ion lab for the production of the multimedia Contents, electronic library, the Groupware enabling exchange of information between students and professors. Arranging general concepts of components in the aspect of Cyber University and Open Education, it would be expressed in the form of the establishment of Cyber University and the service of Open Education as can be seen in the diagram below.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.32 no.4
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• pp.481-487
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• 1999

The optimal conditions of enzymatic hydrolysis for preparation of rapid salted and fermented anchovy sauce (SFAS) using various pretenses such as trypsin, chymotrypsin, crude enzyme from squid liver and viscera, Alcalase, Neutrase and Protamex were studied. SFAS prepared with squid viscera had higher level of VBN (173.6 mg/100 g) when stored for 70 days than other samples, and peroxide values were almost equal among all samples during fermentation period. Total amino acids and nonprotein nitrogenous compounds remarkably increased as SFAS treated with Alcalase or Protamex which exhibited higher the hydrolysis rate of $57\%$ at 60 day than others. The optimal pHs of trypsin, chymotryosin, Alcalase, Neutrase and Protamex on anchovy actomyosin were 7.5, 6.5, 6.5, 7.0 and 5.0, respectively. Optimal temperatures of trypsin, chymotryosin, Alcalase and Neutrase were 55, 45, 60 and $55^{\circ}C$, respectively. Otherwise, Protamex activity increased as temperature increased from 20 to $70^{\circ}C$. Protamex had higher $K_m$ (3.545) and $V_{max}$ value (2.688) than others. Protamex affected less by NaCl had $52.5\%$ activity at the fermentation condition of $20^{\circ}C$ and $25\%$ NaCl. Protamex appeared to be very effective for the hydrolysis of crude actomyosin from ancnovy.

• Journal of Intelligence and Information Systems
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• v.23 no.1
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• pp.143-159
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• 2017

Due to the rapid development of IT in recent years, not only personal information but also the key technologies and information leakage that companies have are becoming important issues. For the enterprise, the core technology that the company possesses is a very important part for the survival of the enterprise and for the continuous competitive advantage. Recently, there have been many cases of technical infringement. Technology leaks not only cause tremendous financial losses such as falling stock prices for companies, but they also have a negative impact on corporate reputation and delays in corporate development. In the case of SMEs, where core technology is an important part of the enterprise, compared to large corporations, the preparation for technological leakage can be seen as an indispensable factor in the existence of the enterprise. As the necessity and importance of Information Security Management (ISM) is emerging, it is necessary to check and prepare for the threat of technology infringement early in the enterprise. Nevertheless, previous studies have shown that the majority of policy alternatives are represented by about 90%. As a research method, literature analysis accounted for 76% and empirical and statistical analysis accounted for a relatively low rate of 16%. For this reason, it is necessary to study the management model and prediction model to prevent leakage of technology to meet the characteristics of SMEs. In this study, before analyzing the empirical analysis, we divided the technical characteristics from the technology value perspective and the organizational factor from the technology control point based on many previous researches related to the factors affecting the technology leakage. A total of 12 related variables were selected for the two factors, and the analysis was performed with these variables. In this study, we use three - year data of "Small and Medium Enterprise Technical Statistics Survey" conducted by the Small and Medium Business Administration. Analysis data includes 30 industries based on KSIC-based 2-digit classification, and the number of companies affected by technology leakage is 415 over 3 years. Through this data, we conducted a randomized sampling in the same industry based on the KSIC in the same year, and compared with the companies (n = 415) and the unaffected firms (n = 415) 1:1 Corresponding samples were prepared and analyzed. In this research, we will conduct an empirical analysis to search for factors influencing technology leakage, and propose an early warning system through data mining. Specifically, in this study, based on the questionnaire survey of SMEs conducted by the Small and Medium Business Administration (SME), we classified the factors that affect the technology leakage of SMEs into two factors(Technology Characteristics, Organization Characteristics). And we propose a model that informs the possibility of technical infringement by using Support Vector Machine(SVM) which is one of the various techniques of data mining based on the proven factors through statistical analysis. Unlike previous studies, this study focused on the cases of various industries in many years, and it can be pointed out that the artificial intelligence model was developed through this study. In addition, since the factors are derived empirically according to the actual leakage of SME technology leakage, it will be possible to suggest to policy makers which companies should be managed from the viewpoint of technology protection. Finally, it is expected that the early warning model on the possibility of technology leakage proposed in this study will provide an opportunity to prevent technology Leakage from the viewpoint of enterprise and government in advance.

• Journal of The Korean Society of Grassland and Forage Science
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• v.26 no.1
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• pp.53-62
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• 2006

Near infrared reflectance spectroscopy (NIRS) has been increasingly used as a rapid, accurate method of evaluating some chemical compositions in forages. Analysis of forage quality by NIRS usually involves dry ground samples. Costs might be reduced if samples could be analyzed without drying or grinding. The objective of this study was to investigate effect of sample preparations and spectral math treatments on prediction ability of chemical composition for corn silage by NIRS. A population of 112 corn silage representing a wide range in chemical parameters were used in this investigation. Samples of com silage were scanned at 2nm intervals over the wavelength range 400-2500nm and the optical data recorded as log l/Reflectance(log l/R) and scanned in overt-dried grinding(ODG), liquid nitrogen grinding(LNG) or intact fresh(IF) condition. Samples were analysed for neutral detergent fiber(NDF), acid detergent fiber(ADF), acid detergent lignin(ADL), crude protein(CP) and crude ash content were expressed on a dry-matter(DM) basis. The spectral data were regressed against a range of chemical parameters using modified partial least squares(MPLS) multivariate analysis in conjunction with four spectral math treatments to reduce the effect of extraneous noise. The optimum calibrations were selected on the basis of minimizing the standard error of cross validation(SECV). The results of this study show that NIRS predicted the chemical parameters with very high degree of accuracy(the correlation coefficient of cross validation$(R^2cv)$ range from $0.70{\sim}0.95$) in ODG. The optimum equations were selected on the basis of minimizing the standard error of prediction(SEP). The Optimum sample preparation methods and spectral math treatment were for ADF, the ODG method using 2,10,5 math treatment(SEP = 0.99, $R^2v=0.93$), and for CP, the ODG method using 1,4,4 math treatment(SEP = 0.29. $R^2v=0.91$).

• Korean Journal of Microbiology
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• v.35 no.4
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• pp.307-314
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• 1999

This study was aimed at the investigation of the possibility of the addition of lactic acid bacteria as "starter"for the preparation of radish juice. Forty strains of lactic acid bacteria were isolated from dongchimi that was fermented by a traditional method. The isolates were assorted into 5groups, Leuconostoc mesenteroides subsp. mesenteroides (J-9), Lacobacillus brevis (J-12), Lactobacillus fermentum (J-7), Lactobacillus sake (J-20), and Lactobacillus plantarum (J-39). Leuconostoc mesenteroides was predominated in the sample of dongchimi with frequency of 52.5%. Each of the strain, which exhibited the beat growth in the species, was selected in the 5species, and investigation of the fermentation characteristcis was carried out. The fermentation were performed for 9 days at 25${\circ}C$ after the inoculation of 0.3% ($10^{6}$ cfu/㎖) to each ultra-filtrated radish juice. The pH, total acidity, content of non-volatile organic acids were examined during the fermentation period. Lactobacillus plantarum showed the highest growth rate and the growth rate of Lactobacillus sake was the lowest. The pH (6.3-6.36) and total acidity (0.09-1.0 %) fo the ultrafiltrated radish juice before fermentation were changed to 3.2-4.3 and 0.65-1.2% after 9days, respectively. The changes of the pH and total acidity were related with the growth of the lactic acid bacteria; the better growth of lactic acid bacteria, the more rapid decrease of pH and increase of the total acidity. when the amount of non-volatile organic acids were estimated during fermentation, citric acid, malic acid, malonic acid, and succinic acid were decreased in all cases. However, the content of lactic acid increased with the progression of fermentation. L. mesenteroides (J-9), L. brevis (J-12) and L. fermentum (J-7) were chosen for the candidates of the starter for the lactic fermentation of radish juice based on the biochemical analysis and sensory evaluation.