• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.184-193
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• 2021

This paper investigates the performance of technology innovation activities performed by firms in 16 major regions in Korea using 2002-2010 survey data by STEPI. The theoretical and empirical analysis is carried out via the 2 models which are the simple R&D - total revenue model and Cobb-Douglas model based on the simple model adding labor variable. The main results shows that for simple model, the R&D elasticity for total revenue is 0.42 for all areas and Ul-San shows the highest elasticity level, 0.66 and Bu-San the lowest level, 0.2. In case of Cobb Douglas model the R&D elasticities are not statistically significant for many regions. To overcome the low statistical significance, we grouped the 15 regions for 3 wider regions using ANOVA based on the R&D intensity for the homogeneity of R&D activities. By grouping, each region has more observations to analyze and the results from the empirical analysis shows higher statistical significance level and data explanation capability. In this case, Group 3 which shows larger firm size and slightly higher export share shows the highest level of R&D elasticity, 0.088 and Group 1 which has the smallest firm size and the lowest revenue growth rate shows the lowest level, 0.31. For the labor elasticity, Group 1 shows the higest level, 1.16 and Group2 the lowest level, 1.096. These results show that the regions which have many middle and small firms reveal low R&D-revenue elasticity and high labor-revenue elasticity.

• The Journal of the Acoustical Society of Korea
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• v.42 no.5
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• pp.403-411
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• 2023

Functional ultrasound imaging, such as elasticity imaging and micro-blood flow Doppler imaging, enhances diagnostic capability by providing useful mechanical and functional information about tissues. However, the implementation of functional ultrasound imaging poses limitations such as the storage of vast amounts of data in Radio Frequency (RF) data acquisition and processing. In this paper, we propose a sub-Nyquist approach that reduces the amount of acquired axial samples for efficient shear-wave elasticity imaging. The proposed method acquires data at a sampling rate one-third lower than the conventional Nyquist sampling rate and tracks shear-wave signals through RF signals reconstructed using band-pass filtering-based interpolation. In this approach, the RF signal is assumed to have a fractional bandwidth of 67 %. To validate the approach, we reconstruct the shear-wave velocity images using shear-wave tracking data obtained by conventional and proposed approaches, and compare the group velocity, contrast-to-noise ratio, and structural similarity index measurement. We qualitatively and quantitatively demonstrate the potential of sub-Nyquist sampling-based shear-wave elasticity imaging, indicating that our approach could be practically useful in three-dimensional shear-wave elasticity imaging, where a massive amount of ultrasound data is required.

• Korean Journal of Soil Science and Fertilizer
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• v.37 no.2
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• pp.74-82
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• 2004

This study was conducted to estimate the optimum application rate of fertilizer N based on $NO_3-N$ concentration in soils for tomato (Lycopersicon esculentum Mill.) cultivation in plastic film house. Tomato plants were cultivated with and without fertilizer in twelve soils which have different concentrations of $NO_3-N$ ranging from 46 to $344mg\;kg^{-1}$. Dry weight (DW) of above-ground part of tomato with no fertilizer ranged from 28.9 to $112.5g\;plant^{-1}$, depending on N-supplying capability of soils. The soil $NO_3-N$ was positively correlated with DW ($r=0.83^{**}$) and N uptake ($r=0.78^{**}$) by tomatoes in no fertilizer treatment, and negatively correlated with fertilizer effciencies resulted from the differences of DW and N uptake between fertilized and non-fertilized plot. The relationships between soil $NO_3-N$ concentration and DW, N uptake, and fertilizer efficiency were analyzed to determine the critical levels of soil $NO_3-N$ for tomato cultivation. The limit critical levels of soil $NO_3-N$ were estimated to be more than $280mg\;kg^{-1}$ for no application of fertilizer N and to be less than $50mg\;kg^{-1}$ for recommended application of fertilizer N. These critical levels of soil $NO_3-N$ were nearly the same as those calculated from regression equation between electrical conductivity(EC) and soil nitrate for critical levels of EC in recommendation equation of fertilizer N for tomato under the plastic film house by NationaI Institute of Agricultural Science and Technology. Consequently, the optimal application rate of ferdilizer N for tomato cultivation in the soils containing $NO_3-N$ concentration between $280mg\;kg^{-1}$ and $50mg\;kg^{-1}$ was estimated by the equation Y = -0.4348X＋121.74, where Y is the percent(%) to the recommended application rate of N fertilizer and X is the soil $NO_3-N$ concentration ($mg\;kg^{-1}$).

• Journal of the Korean Applied Science and Technology
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• v.36 no.4
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• pp.1060-1068
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• 2019

The physical fitness of the cadets of the Air Force Academy, which will protect the airspace of the Republic of Korea, is of paramount importance to fulfill the given mission. Therefore, the purpose of this study was to confirm the characteristics of body composition and physical fitness of female cadets of Air Force Academy and to verify their relationship with physical fitness according to body fat % level of total female cadets. To achieve the purpose of the study, 50 female cadets of the Korea Air Force Academy (1grade 13, 2grade 18, 3grade 9, 4grade 10) were measured in body composition (skeletal strength, body fat mass, body mass index, body fat %, abdominal obesity rate, basal metabolic rate) and physical fitness (muscle strength, muscular endurance, power, agility, flexibility and balance). One way ANOVA was performed for data processing to identify body composition and physical fitness characteristics by grade and to identify differences in physical fitness according to body fat rate levels. According to the study, the 1 grade was lower in body fat mass and body fat % among female cadets, the 2 grade was lower than the 3 and 4 grades, and the body mass index was lower than the third and fourth grades. Also, there was no difference in the physical fitness of the rest of the year. The intergroup physical fitness according to the body fat rate was higher than that of those with less than 20 percent of net worth and 25 percent to less than 25.1 percent to 30 percent, while those with less than 20 percent balance were higher than those with less than 25.1 to 30 percent. The results of this study showed differences in body composition by grade in female cadets, especially in power and balance according to body fat %. Therefore, female cadets of the Air Force Academy need to manage body fat to have the power and balance capability related to the airborne mission environment.

• Journal of Bio-Environment Control
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• v.25 no.4
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• pp.343-350
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• 2016

The aim of this study was to evaluate effects of immature compost on the amount of nutrient content, heavy metal concentration, and application rate that were used for lettuce cultivation. The characteristics of the two composts (Compost A (CA) was immature compost and Compost B (CB) was mature compost) were evaluated upon mixing with commercial soil at 0%, 25%, 50%, and 75% (w/w). The poor chemical characteristics were appeared by use of immature compost as soil amendment; the 50% and 75% rates were weakly acidic at pH 5.39 and 5.50, respectively. The total carbon content at using of 75% of the immature compost and mature compost increased the most to 14.5 and 6.5% and it significantly increased concentrations of the total nitrogen and phosphorus compared to control. As for 75% mature compost rate increased significantly the concentrations of Cu ($128mg\;kg^{-1}$), Zn ($260mg\;kg^{-1}$), Pb ($0.32mg\;kg^{-1}$) and, Cd ($0.48mg\;kg^{-1}$) compared to control, and the highest As concentration increased significantly at 75% and 50% (6.69 and $6.28mg\;kg^{-1}$) including in 25% immature compost as $6.48mg\;kg^{-1}$. However, all of the high compost rates significantly decreased the shoot biomass of lettuce. The immature compost was potentially amended at an application rate of 25% due to a slight salinity and low risk to heavy metal uptake on lettuce growth. This use may be available if the rate is lower than that used in this trial.

• Journal of Embryo Transfer
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• v.20 no.2
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• pp.105-112
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• 2005

The present study was conducted to examine some factors affecting in vitro development of oocytes from somatic cell nuclear transfer (SCNT) in Korean native goats. Recipient oocytes were surgically collected after superovulation by using CIDR and FSH, PMSG, hCG and estrous synchronization in Korean Native goats. For nuclear transfer, the fibroblasts from caprine ear cells and fetal fibroblasts were surgically harvested and were cultured in vitro until cell confluency in serum-starvation condition (TCM-199 + $0.5\%$ FBS) for 3 to 5 days. The zona pellucidae of matured oocytes were partially drilled by laser irradiation. A single somatic cell was individually transferred into each enucleated oocyte. The reconstructed oocytes were then electrically fused and activated. Activated NT embryos were cultured in mSOF medium supplemented with $0.8\%\;BSA\;6\~7\;day\;at\;39^{\circ}C,\;5\%\;CO_2,\;5\%\;O_2,\;90\%\;N_2$ in air. There were no significant difference in the number of embryos cleaved and 4-cell development between the fibroblast nuclei from mature ear cells and fetal cells, but the rate of 8-cell development was higher (P<0.05) in ear cells $(40.5\%)$ than in fetal cells $(55.5\%)$. However, the embryo development to morula or blastocyst was not significantly different between both the groups$(6.7\%\;vs\;16.0\%)$, respectively. The number of embryo cleaved $(79.0\%)$ were higher (P<0.05) in the oocytes activated with ionomycin+6-DMAP than in the oocytes activated electrically $(9.5\%)$. The development of fused embryos to morula or blastocyst was found $15.6\%$ in ionomycin+6-DMAP, but no morula or blastocysts were developed in electrical stimulation. The development rate of SCNT embryos to morula or blastocyst was love. (P<0.05) in SCNT embryos $(19.0\%\;vs\;0.0\%)$ than that in parthenotes $(66.1\%\;vs\;59.1\%)$. In the parthenotes, the cleavage rate and development to morula or blastocyst were significantly higher (P<0.05) as $86.8\%\;and\;50.0\%$ in ovulated oocytes than in follicular oocytes $(69.0\%\;vs\;23.6\%)$, respectively. These results suggest that some factors Including superovulation treatment, oocyte source, maturation of follicular oocytes, activation method and culture condition may affect in vitro developmental capability of embryos produced by somatic cell nuclear transfer in Korean Native goats, and the fusion rate be greatly low compared with other species.

• Clinical and Experimental Reproductive Medicine
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• v.35 no.2
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• pp.143-153
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• 2008

Objective: To investigate the effects of aromatase inhibitor on reproductive hormone profiles and evaluate it's ovulation inducing capability in anovulatory infertile women. Methods: We quantified the blood levels of reproductive hormones from 30 healthy normal cycling women in natural cycle (control) and letrozole medicated cycle (study). LH, FSH, estradiol, testosterone, DHEA-S were quantified on third, 11th, 21th day in both cycles, and on 21th day, progesterone was added. Sixth anovulatory infertile women received either letrozole or clomiphene citrate for ovulation induction (n=30 in each groups). We compared the clinical parameters such as ovulation rate, pregnancy rate, the day of LH surge, number of follicles and endometrial thickness, cervical mucus amount, spinnbarkeit, mean diameter of follicles on the day of LH surge. Results: Letrozole had no effect on the LH, FSH, estradiol, DHEA-S secretion but there were significant increase in testosterone level on day 11 and progesterone level on day 21 in letrozole medicated cycle compared than control cycle ($0.40{\pm}0.16$ vs $0.28{\pm}0.11\;ng/ml$, p=0.002, $18.18{\pm}13.07$ vs $8.38{\pm}7.64\;ng/ml$, p=0.001, respectively). In comparison between letrozole and clomiphene groups, there were no significant difference in ovulation rate, pregnancy rate, number of mature follicle, mean diameter of follicles, but showed earlier LH surge, thicker endometrium, more cervical mucus, and higher spinnbarkeit in letrozole group ($12.12{\pm}2.46$ vs $14.52{\pm}3.18$ days, p=0.006, $10.48{\pm}1.23$ vs $8.52{\pm}0.93\;mm$, p=0.000, $2.04{\pm}0.61$ vs $1.57{\pm}0.59$, p=0.012, $6.00{\pm}1.12$ vs $4.95{\pm}1.61\;cm$, p=0.003, respectively). Conclusion: Letrozole may augment folliculogenesis and improve the endometrial condition for implantation in normal cycling women. Ovulation efficacy of letrozole in anovulatory women was comparable to clomiphene citrate and letrozole may be more physiological in ovulation induction.

• Journal of Intelligence and Information Systems
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• v.27 no.3
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• pp.231-252
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• 2021

Artificial intelligence (AI) is a key technology that will change the future the most. It affects the industry as a whole and daily life in various ways. As data availability increases, artificial intelligence finds an optimal solution and infers/predicts through self-learning. Research and investment related to automation that discovers and solves problems on its own are ongoing continuously. Automation of artificial intelligence has benefits such as cost reduction, minimization of human intervention and the difference of human capability. However, there are side effects, such as limiting the artificial intelligence's autonomy and erroneous results due to algorithmic bias. In the labor market, it raises the fear of job replacement. Prior studies on the utilization of artificial intelligence have shown that individuals do not necessarily use the information (or advice) it provides. Algorithm error is more sensitive than human error; so, people avoid algorithms after seeing errors, which is called "algorithm aversion." Recently, artificial intelligence has begun to be understood from the perspective of the augmentation of human intelligence. We have started to be interested in Human-AI collaboration rather than AI alone without human. A study of 1500 companies in various industries found that human-AI collaboration outperformed AI alone. In the medicine area, pathologist-deep learning collaboration dropped the pathologist cancer diagnosis error rate by 85%. Leading AI companies, such as IBM and Microsoft, are starting to adopt the direction of AI as augmented intelligence. Human-AI collaboration is emphasized in the decision-making process, because artificial intelligence is superior in analysis ability based on information. Intuition is a unique human capability so that human-AI collaboration can make optimal decisions. In an environment where change is getting faster and uncertainty increases, the need for artificial intelligence in decision-making will increase. In addition, active discussions are expected on approaches that utilize artificial intelligence for rational decision-making. This study investigates the impact of artificial intelligence on decision-making focuses on human-AI collaboration and the interaction between the decision maker personal traits and advisor type. The advisors were classified into three types: human, artificial intelligence, and human-AI collaboration. We investigated perceived usefulness of advice and the utilization of advice in decision making and whether the decision-maker's personal traits are influencing factors. Three hundred and eleven adult male and female experimenters conducted a task that predicts the age of faces in photos and the results showed that the advisor type does not directly affect the utilization of advice. The decision-maker utilizes it only when they believed advice can improve prediction performance. In the case of human-AI collaboration, decision-makers higher evaluated the perceived usefulness of advice, regardless of the decision maker's personal traits and the advice was more actively utilized. If the type of advisor was artificial intelligence alone, decision-makers who scored high in conscientiousness, high in extroversion, or low in neuroticism, high evaluated the perceived usefulness of the advice so they utilized advice actively. This study has academic significance in that it focuses on human-AI collaboration that the recent growing interest in artificial intelligence roles. It has expanded the relevant research area by considering the role of artificial intelligence as an advisor of decision-making and judgment research, and in aspects of practical significance, suggested views that companies should consider in order to enhance AI capability. To improve the effectiveness of AI-based systems, companies not only must introduce high-performance systems, but also need employees who properly understand digital information presented by AI, and can add non-digital information to make decisions. Moreover, to increase utilization in AI-based systems, task-oriented competencies, such as analytical skills and information technology capabilities, are important. in addition, it is expected that greater performance will be achieved if employee's personal traits are considered.

• Journal of Intelligence and Information Systems
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• v.26 no.4
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• pp.149-171
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• 2020

The period at university is to make decision about getting an actual job. As our society develops rapidly and highly, jobs are diversified, subdivided, and specialized, and students' job preparation period is also getting longer and longer. This study analyzed the log data of college students to see how the various activities that college students experience inside and outside of school might have influences on employment. For this experiment, students' various activities were systematically classified, recorded as an activity data and were divided into six core competencies (Job reinforcement competency, Leadership & teamwork competency, Globalization competency, Organizational commitment competency, Job exploration competency, and Autonomous implementation competency). The effect of the six competency levels on the employment status (employed group, unemployed group) was analyzed. As a result of the analysis, it was confirmed that the difference in level between the employed group and the unemployed group was significant for all of the six competencies, so it was possible to infer that the activities at the school are significant for employment. Next, in order to analyze the impact of the six competencies on the qualitative performance of employment, we had ANOVA analysis after dividing the each competency level into 2 groups (low and high group), and creating 6 groups by the range of first annual salary. Students with high levels of globalization capability, job search capability, and autonomous implementation capability were also found to belong to a higher annual salary group. The theoretical contributions of this study are as follows. First, it connects the competencies that can be extracted from the school experience with the competencies in the Human Resource Management field and adds job search competencies and autonomous implementation competencies which are required for university students to have their own successful career & life. Second, we have conducted this analysis with the competency data measured form actual activity and result data collected from the interview and research. Third, it analyzed not only quantitative performance (employment rate) but also qualitative performance (annual salary level). The practical use of this study is as follows. First, it can be a guide when establishing career development plans for college students. It is necessary to prepare for a job that can express one's strengths based on an analysis of the world of work and job, rather than having a no-strategy, unbalanced, or accumulating excessive specifications competition. Second, the person in charge of experience design for college students, at an organizations such as schools, businesses, local governments, and governments, can refer to the six competencies suggested in this study to for the user-useful experiences design that may motivate more participation. By doing so, one event may bring mutual benefits for both event designers and students. Third, in the era of digital transformation, the government's policy manager who envisions the balanced development of the country can make a policy in the direction of achieving the curiosity and energy of college students together with the balanced development of the country. A lot of manpower is required to start up novel platform services that have not existed before or to digitize existing analog products, services and corporate culture. The activities of current digital-generation-college-students are not only catalysts in all industries, but also for very benefit and necessary for college students by themselves for their own successful career development.

• Journal of the Korean Geographical Society
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• v.40 no.3 s.108
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• pp.296-309
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• 2005

In this study, we investigated the change of future land-surface and relationships of land-surface change with geo-spatial information, using a Bayesian prediction model based on a likelihood ratio function, for analysing the land-surface change of the Gongju area. We classified the land-surface satellite images, and then extracted the changing area using a way of post classification comparison. land-surface information related to the land-surface change is constructed in a GIS environment, and the map of land-surface change prediction is made using the likelihood ratio function. As the results of this study, the thematic maps which definitely influence land-surface change of rural or urban areas are elevation, water system, population density, roads, population moving, the number of establishments, land price, etc. Also, thematic maps which definitely influence the land-surface change of forests areas are elevation, slope, population density, population moving, land price, etc. As a result of land-surface change analysis, center proliferation of old and new downtown is composed near Gum-river, and the downtown area will spread around the local roads and interchange areas in the urban area. In case of agricultural areas, a small tributary of Gum-river or an area of local roads which are attached with adjacent areas showed the high probability of change. Most of the forest areas are located in southeast and from this result we can guess why the wide chestnut-tree cultivation complex is located in these areas and the capability of forest damage is very high. As a result of validation using a prediction rate curve, a capability of prediction of urban area is $80\%$, agriculture area is $55\%$, forest area is $40\%$ in higher $10\%$ of possibility which the land-surface change would occur. This integration model is unsatisfactory to Predict the forest area in the study area and thus as a future work, it is necessary to apply new thematic maps or prediction models In conclusion, we can expect that this way can be one of the most essential land-surface change studies in a few years.