• Journal of the Korea Society of Computer and Information
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• v.24 no.10
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• pp.139-147
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• 2019

In this paper, we propose to explore ways to create internal motivation to enhance the job disposition of Korean and Chinese employees. In order to achieve this goal, we would like to select parameters that may trigger an increasing number of internal motivations for interest in recent years: perceived organisational support, perceived provider support, and perceived peer support, and to explore the impact on job embeddedness. I would like to find out the effect of job embodiedness on involved beauty. The process also seeks to verify that China and South Korea are different. To verify the research theory of this research, we will use a questionnaire to researchers of automotive companies using VR technology in Gyeonggi-do, Korea and Hadong-seong, China, and conducted a survey. A total of 200 pairs of questionnaires were distributed to the study subjects, 195 of which were retrieved, 191 of which eliminated unfaithful responses were used for the final analysis. The collected data were used for frequency analysis, exploratory factor analysis, reliability analysis, confirmatory factor analysis, correlation analysis, structural equation analysis. The results of this study, identified through empirical analysis, can be summarized as follows: First, Perceived Organizational Support, Perceived Supervisor Support will have a positive impact on Job Embeddedness. Second, Job Embeddedness will have a positive influence on the Innovative Beehivior. Third, Perceived Organizational Support, Perceived Supervisor Support will have a partial positive effect on Innovative Behavior. Fourth, the formation process and influence of Job Embeddedness of corporate employees in Korea and China are partly different, the report showed.

• Proceedings of the Korea Port Economic Association Conference
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• 2006.08a
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• pp.1-12
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• 2006

As national economies globalize, demand for intercontinental container shipping services is growing rapidly, providing a potential economic boon for the countries and communities that provide port services. On the promise of profits, many governments are investing heavily in port infrastructure, leading to a possible glut in port capacity, driving down prices for port services and eliminating profits as ports compete for business. Further, existing ports are making strategic investments to protect their market share, increasing the chance new ports will be overcapitalized and unprofitable. Governments and port researchers need a tool for understanding how local competition in their region will affect demand for port services at their location, and thus better assess the profitability of a prospective port. We propose to develop such a tool by extending our existing simulation model of global container traffic to incorporate demand-side shipper preferences and supply-side strategic responses by incumbent ports to changes in the global port network, including building new ports, scaling up existing ports, and unexpected port closures. We will estimate shipper preferences over routes, port attributes and port services based on US and international shipping data, and redesign the simulation model to maximize the shipper's revealed preference functions rather than simply minimize costs. As demand shifts, competing ports will adjust their pricing (short term) and infrastructure (long term) to remain competitive or defend market share, a reaction we will capture with a game theoretic model of local monopoly that will predict changes in port characteristics. The model's hypotheses will be tested in a controlled laboratory experiment tailored to local port competition in Asia, which will also serve to demonstrate the subtle game theoretic concepts of imperfect competition to a policy and industry audience. We will apply the simulation model to analyze changes in global container traffic in three scenarios: addition of a new large port in the US, extended closure of an existing large port in the US, and cooperative and competitive port infrastructure development among Korean partner countries in Asia.

• Proceedings of the Ginseng society Conference
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• 2002.10a
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• pp.1-19
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• 2002

The use of herbals has increased considerably while their efficacy and safety remain untested. This unsupported surge in demand has prompted a call for their clinical evaluation. One area in which evaluations are emerging is ginseng and diabetes. Growing evidence is accumulating from in vitro and animal models indicating that various ginseng species, American (Panax quinquefolius L), Asian (Panax ginseng C.A. Meyer), Korean Red, San-chi (Panax notoginseng [Burk.] P.R. Chen), and the non-panax species Siberian (Eleutherococcus senticossus) ginsing, and their fractions, saponins (ginsenosides) and peptidoglycans (panaxans for panax species and eleutehrans for Siberian ginseng), might affect carbohydrate metabolism and related signaling molecules. Recent human studies from our laboratory have also shown a blood glucose lowering effect of American ginseng (AG) and some other ginseng spices postprandially after acute administration and chronically after administration for 8-weeks in people with type 2 diabetes. Although generally encouraging, these data only indicate a need for more evaluations of ginsengs safety and efficacy. Because of poor industry standardization, it is not known whether all ginsengs will affect blood glucose. In this regards some ginseng batches have demonstrated null effects while others have even raised postprandial glycemia. Clinical research should therefore focus on components involved in its glucose lowering effects.

• Elastomers and Composites
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• v.19 no.1
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• pp.13-31
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• 1984

The purposes of this dissertation are to demonstrate that DSC theromoanaytical methods of vulcanization can provide useful informations on the vulcanization characteristics of industrial formulations and also provides the potential basis for a rapid and complete method of sulfur and vulcanizing accelerator analysis for quality control. The influences of those factors such as heating rate, scan temperature, vucanizing accelerator's type and concentration upon vulcanization exotherm in NR and NBR compounds in the presence of vulcanizing accelerators such as TMTD,MBTS,DPG,TMTM,CBS, and MBT were evaluated by means of DSC. In order to examine the credibility in the DSC method, the same samples which were used for DSC method were studied to compare the DSC results with the ODR (Oscillating Disk Rheometer) data. The results obtained were as follows 1. In the DSC dynamic experiments, the observed enthalpy results from vulcanization depends upon the heating rate; In the range of 2 to $20^{\circ}C/min$ of heating rate, as the heating rate was increased the enthalpy change was also increased. However, over the heating rate of $30^{\circ}C/min$ it was observed that the enthalpy change was decreased as the heating rate was further increased. Without regard to the change of enthalpy, tremendous instantaneous heat evolving was observed in the range of high heating rates. 2. For the samples which are added with various vulcanizing accelerators, the activation energies of vulcanization were as follows; 3. Regarding to the influences of vulcanizining accelerator's types upon the characteristics of vulcanization exotherm, NR and NBR compounds in the presence of thiuramsulphide compounds type accelerators such as TMTD, TMTM, were exhibited sharper and higher vulclanization exotherm than others. From the resuts of DSC thermograms which was distributed in even shape in the broad temperature range, it was clearly shown that the guanidine compounds type accelerator such as DPG acts as a delayed acting accelerator. 4. In the comparison of DSC and ODR results, the dependency of temperature in the cure rate and the observed conversions show good agreements between two results. 5. In the same curatives, by the comparison of glass transition temperatures, it was possible to predict relative values of maximum torques. Consequently, from the present studies, it is shown that the DSC thermoanalytical method can provide an alternate new method for rapid and complete quality control analysis of rubber industry.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.41 no.1
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• pp.73-83
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• 2015

Dendropanax morbifera Leveille (Araliaceae) is an endemic species growing in the south-western part of South Korea and has been used in folk medicine. However, the effects of Dendropanax morbifera Lev. on skin biology remain to be elucidated. In this study, we isolated 1-tetradecanol and ${\beta}$-sitosterol from the n-hexane fraction of Dendropanax mobifera Lev. and To investigate the whitening effect of the fraction, we tested the inhibition of tyrosinase activity of 1-tetradecanol. The results show that the inhibitory effect of the 1-tetradecanol was higher than water extract and n-hexane fraction. And 1-tetradecanol significantly reduced melanin contents of B16F10 cells compared to more than water extract and n-haxane fraction dose-dependantly without cell cytotoxicitiy (below $100{\mu}g/mL$). We also investigated the skin moisturizing effect using HR-1 hairless mice. The transepidermal water loss (TEWL) in the 1-tetradecanol treated group was significantly smaller than that in the other groups. To investigate the effect of the preventing hair loss by ${\beta}$-sitosterol, we observed HR-1 hairless mice through periodic growth feature. The results suggest that hair loss of mice by ${\beta}$-sitosterol was delayed and it's hair density showed the highest. These data provide evidence that Dendropanax morbifera Lev. may be a potent candidate for the improvement of both skin whitening, moisturizing and alopecia from the point of cosmetic industry view.

• Korean Journal of Soil Science and Fertilizer
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• v.40 no.1
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• pp.31-35
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• 2007

In order to find out the cause of plant injury, the symptom of plant injury, and contents of element concerned in the plant were analysed. Also, a case study was conducted to find out the factor of plant injury at a agriculture and industry complex in Gyeongsang province in 2004. The distribution of isomeric curve was made with meteorological data, toxic gas concentration exhausted from pollution source. The general symptom of plant injury by ammonia gas was dry and dead of leaves with white color. At low concentration of ammonia gas, plant leaf showed spots of reddish brown. The characteristic of plant injury symptom by hydrogen fluoride gas was that the symptom was appeared at the edge of leaf. The isomeric curve of sulfur dioxide at the region, where the plant was damaged, showed that the area was affected by exhausted gas from the pollution source. Especially, this area was affected more deeply at summer than any other season.

• Journal of Navigation and Port Research
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• v.45 no.4
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• pp.186-193
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• 2021

To enhance the competitiveness of the Busan Port in accordance with changes in global shipping and port industry trends, the Busan New Port is promoting step-by-step integration and developing a port resource-sharing platform. However, inefficient resource-sharing can cause unnecessary additional costs or impede port productivity, so accurate supply and demand matching of shared resources is required. In this study, the supply and demand of port resources were investigated for employees of Busan New Port and North Port, and port resources that could be ideally shared through IPA(Importance Performance Analysis) were analyzed. As a result of analyzing the equipment in the port, Yard Tractor, Reach Stacker, and Top Handler were the top considerations, and for facilities in the port, berths and aprons, empty container yards, and refrigerated container yards were the most important considerations. As for the data in the port, gate status, equipment specifications, and berth and apron conditions were the top considerations.

• Economic and Environmental Geology
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• v.54 no.5
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• pp.515-533
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• 2021

Based on the supply location, demand location, and transportation network, aggregate supply-demand characteristics and aggregate distribution status were analyzed from the results of the closest distance, service areas, and location-allocation scenarios using GIS network analysis. As a result, it was found that the average transport distance of aggregates from the supplier was 6 km on average, the average range of 7 km for sand, and 10 km for gravel was found to reach the destination. In particular, the simulated service area covers about 92% in Seoul-Gyeonggi Province, 85% in Busan-Ulsan-Gyeongnam Province, and more than 90% in Daejeon-Sejong-Chungnam Province. These results have a significant implication in quantitatively interpreting primary data on aggregate supply-demand. Furthermore, these results suggest the possibility of a wide-area quantitative analysis of aggregate supply regions necessary for establishing a basic aggregate plan. The results also evaluated by the site-allocation scenario show that aggregate supply may be possible through companies less than 200 with large-amounts quarries, which is the 700 companies currently supplying small amounts of aggregates on the country. Therefore, in terms of distribution of aggregates, a policy approach is needed to form an appropriate market for regions with high and low density of aggregate supply services, and the necessity of regional distribution and re-evaluation is suggested through an aggregate supply analysis demand across the country. Furthermore, in analyzing the supply-demand network for the aggregate market, additional research is needed to establish long-term policies for the aggregate industry and related industries.

• The Journal of Society for e-Business Studies
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• v.26 no.3
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• pp.97-117
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• 2021

Predicting term deposit subscriptions is one of representative financial marketing in banks, and banks can build a prediction model using various customer information. In order to improve the classification accuracy for term deposit subscriptions, many studies have been conducted based on machine learning techniques. However, even if these models can achieve satisfactory performance, utilizing them is not an easy task in the industry when their decision-making process is not adequately explained. To address this issue, this paper proposes an explainable scheme for term deposit subscription forecasting. For this, we first construct several classification models using decision tree-based ensemble learning methods, which yield excellent performance in tabular data, such as random forest, gradient boosting machine (GBM), extreme gradient boosting (XGB), and light gradient boosting machine (LightGBM). We then analyze their classification performance in depth through 10-fold cross-validation. After that, we provide the rationale for interpreting the influence of customer information and the decision-making process by applying Shapley additive explanation (SHAP), an explainable artificial intelligence technique, to the best classification model. To verify the practicality and validity of our scheme, experiments were conducted with the bank marketing dataset provided by Kaggle; we applied the SHAP to the GBM and LightGBM models, respectively, according to different dataset configurations and then performed their analysis and visualization for explainable term deposit subscriptions.

• Journal of the Korean Regional Science Association
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• v.37 no.3
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• pp.3-18
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• 2021

The fourth Industrial Revolution is transforming the industrial structure of the region, and it is necessary to develop new industries and technologies that reflect regional characteristics. The purpose of this study is to measure the knowledge relatedness and technological complexity in Busan, Ulsan, and Gyeongnam, and to identify technologies with potential for regional industrial differentiation strategies. Using patent data from 2015 to 2019, co-occurrence matrices were derived from 652 IPC codes, and the knowledge relatedness density and technology complexity index were calculated. Network analysis was performed using the knowledge relatedness density. As a result of analysis, it was found that mechanical engineering occupied a large proportion, followed by chemistry and electrical engineering. As a result of applying the risk-benefit framework to derive technologies with the potential to differentiate local industries, the technological capabilities of low-risk-high-benefit were different. Among mechanical engineering, technologies such as engine, machine operation, and transportation were included in Busan. In Ulsan, environmental technology in chemical and materials, and heat treatment technology in mechanical engineering were technologies with low-risk and high-benefit capabilities. Gyeongnam showed competence in mechanical engineering, chemistry, and electrical engineering in some areas such as Gimhae, Yangsan, and Changwon. The results of this study are meaningful in that they identified technologies with potential for selecting and deriving strategic industries for regional growth based on latent knowledge in the region.