• Culinary science and hospitality research
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• v.1
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• pp.57-89
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• 1995

Despite prologed business stagnation of both international and domestic economy, hotel business as well as tourist industry has continuously been keeping growing, owing to increase of surplus income and world flowing population. During recent 4 years, growth rate of yearly mean in domestic hotels reached 9.9% and especially that of the superior class hotels 15.2%. In the composition of domestic tourist hotel's revenue, the earnings of guest rooms form 37.4%, on the other hand those of food & beverage 39.9%. This result is that our hotel business is concentrated on its interest in FOOD & BEVERAGE of which productivity per unit dimension can be increased to an unlimited extent and extent and superior class hotels strengthened in F&B are increasing in comparison with European or American hotels which are focused on guest rooms in their management. For value added rate of F&B is low as compared with increase of their earnings, they are interested in the management techniques which focus on rising the rate. As for the cost of Food & Beverage, personnel expenditure forms 36.5% and the direct materials 31.5%. Therefore how to manage personnel and materials costs which compose as much as 68% of total revenue will greatly affect net profit. We can say that an effective management technique in cost of Food & Beverage is one of the most important know-hows in hotel management. Especially management know-how for the Kitchen Department where the most of foods come out makes a great effects on various expenses, productivity and it is the achievement from hotel management. For the most of the hotel's top managers, they don't seriously take the fact that KITCHEN SYSTEM affects greatly total expenditure. This study starts from the point of recognizing the question of fundamental cause affecting tow largest cost elements incurred in Food & Beverage and trying to present an effective kitchen system. To settle the questions raised, I compared and analyzed productivity and cost of food & beverage and unit kitchen centered around superior class hotels in Seoul, which vary in Kitchen Systems. In order to attain the aforementioned study effectively purpose of this study, I compared Room-Service and Coffee-Shop Menu, flow of basic food in the kitchen, extent and result of division of labor and integration in the kitchen, scale of outlet kitchen, productivity, the turnover rate of food in store, food cost rate one another which all vary in Kitchen Systems. All these elements are compared and analyzed each other being divided into two main groups such as①. Main Production kitchen and Banquet Kitchen, and ②. coffee-shop kitchen and Room-service Kitchen. Therefore this study is to point out the problems in managing kitchens of superior class hotels which are different in systems. An effort was made to find out the better Kitchen System for superior deluxe hotels. I emphasize the followings on the proper scale of division of labor and integration of unit kitchen and a disposition plan for outlet kitchens of restaurant. First, KITCHEN SYSTEM as a sub-system of Hotel Management System is composed of sub-systems of outlet unit kitchen. Basic food materials are cooked and served for the guests while support kitchen and out restaurant kitchen interact organically each other. So Kitchen should be considered as a system composed of integrated sub-systems. Second, support and banquet kitchens should be integrated to be managed. And these unit kitchens have to be designed to be placed in the back of banquet rooms area. Third, coffee-shop kitchen and room-service kitchen should be integrated to be managed. Fourth, several unit business kitchens should be place on the same floor. Fifth, main production kitchens ought to be located near the loading duck, food store and large refrigerator. Sixth, considering the limits of supervision, duties should be adjusted as 12-20 cooks in two shifts a day for a sub-kitchen, and 18-30 cooks in three shifts a day so that labor division can be made. Last, I would like to two points for direction and task of future study. Firstly, I compare the effective income and increasing costs each other, which are incurred by increasing the use rate of the second processing materials for foods perched outside and through the results. I can find out the better points of the processing production and circulation system, and then I study this effects made on hotel kitchen system. Secondly, I can point out that more efficient kitchen system shall be established through comparing and analyzing the matter of amount of indirect costs and flow of food in different kitchen systems.

• Korean Journal of Agricultural and Forest Meteorology
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• v.13 no.4
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• pp.176-184
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• 2011

Cold air on sloping surfaces flows down to the valley bottom in mountainous terrain at calm and clear nights. Based on the assumption that the cold air flow may be the same as the water flow, current models estimate temperature drop by regarding the cold air accumulation at a given location as the water-like free drainage. At a closed catchment whose outlet is blocked by man-made obstacles such as banks and roads, however, the water-like free drainage assumption is no longer valid because the cold air accumulates from the bottom first. We developed an empirical model to estimate quantitatively the effect of cold pool on nocturnal temperature in a closed catchment. In our model, a closed catchment is treated like a "vessel", and a digital elevation model (DEM) was used to calculate the maximum capacity of the cold pool formed in a closed catchment. We introduce a topographical variable named "shape factor", which is the ratio of the cold air accumulation potential across the whole catchment area to the maximum capacity of the cold pool to describe the relative size of temperature drop at a wider range of catchment shapes. The shape factor is then used to simulate the density profile of cold pool formed in a given catchment based on a hypsometric equation. The cold lake module was incorporated with the existing model (i.e., Chung et al., 2006), generating a new model and predicting distribution of minimum temperature over closed catchments. We applied this model to Akyang valley (i.e., a typical closed catchment of 53 $km^2$ area) in the southern skirt of Mt. Jiri National Park where 12 automated weather stations (AWS) are operational. The performance of the model was evaluated based on the feasibility of delineating the temperature pattern accurately at cold pool forming at night. Overall, the model's ability of simulating the spatial pattern of lower temperature were improved especially at the valley bottom, showing a similar pattern of the estimated temperature with that of thermal images obtained across the valley at dawn (0520 to 0600 local standard time) of 17 May 2011. Error in temperature estimation, calculated with the root mean square error using the 10 low-lying AWSs, was substantially decreased from $1.30^{\circ}C$ with the existing model to $0.71^{\circ}C$ with the new model. These results suggest the feasibility of the new method in predicting the site-specific freeze and frost warning at a closed catchment.

• Nuclear Medicine and Molecular Imaging
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• v.41 no.1
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• pp.9-15
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• 2007

Purpose: Repetitive transcranial magnetic stimulation (rTMS) has recently been clinically applied in the treatment of drug resistant depressed patients. There are mixed findings about the efficacy of rTMS on depression. Furthermore, the influence of rTMS on the physiology of the brain is not clear. We prospectively evaluated changes of regional cerebral blood flow (rCBF) between pre- and post-rTMS treatment in patients with drug resistant depression. Materials and Methods: Twelve patients with drug-resistant depression (7 male, 5 female; age range: $19{\sim}52$ years; mean age: $29.3{\pm}9.3$ years) were given rTMS on right prefrontal lobe with low frequency (1 Hz) and on left prefrontal lobe with high frequency (20 Hz), with 20-minute-duration each day for 3 weeks. Tc-99m ECD brain perfusion SPECT was obtained before and after rTMS treatment. The changes of cerebral perfusion were analyzed using statistical parametric mapping (SPM; t=3.14, uncorrected p<0.01, voxel=100). Results: Following areas showed significant increase in rCBF after 3 weeks rTMS treatment: the cingulate gyrus, fusiform gyrus of right temporal lobe, precuneus, and left lateral globus pallidus. Significant decrement was noted in: the precental and middle frontal gyrus of right frontal lobe, and fusiform gyrus of left occipital lobe. Conclusion: Low-frequency rTMS on the right prefrontal cortex and high-frequency rTMS on the left prefrontal cortex for 3 weeks as an add-on regimen have increased and decreased rCBF in the specific brain regions in drug-resistant depressed patients. Further analyses correlating clinical characteristics and treatment paradigm with functional imaging data may be helpful in clarifying the pathophysiology of drug-resistant depressed patients.

• Korean Journal of Environmental Agriculture
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• v.27 no.2
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• pp.111-119
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• 2008

This study was conducted to evaluate water quality and pollutant loads on small agricultural watershed in Jeonbuk province. The EC level of investigated watershed ranged from 0.07 to 0.52 dS/m, BOD level ranged from 0.1 to 5.0 mg/L, and $COD_{Cr}$ level ranged from 0.6 to 17.7 mg/L. As above, contents of water quality indicators covered wide range, but each indicator was alike in mean content every other year. The contents of EC, $Ca^{2+},\;Mg^{2+},\;K^+\;and\;Na^+$ were decreased in rainy season, but the contents of BOD, $COD_{Cr},\;COD_{Mn}$, T-N and T-P were not greatly different as compared to dry season. And high content of SS showed substantial sediments near the surface flow out and influence on water system in rainy season. The pollutant loads measured in terminal of watershed were $9.6{\sim}757.9$ kg/day for BOD, $51.2{\sim}1418.5$ kg/day for T-N and $0.3{\sim}44.7$ kg/day for T-P. The pollutant loads of BOD, T-N and T-P in rainy season increased several times as compared to dry season. In rainy season, watershed with more than 30% in the proportion of paddy field to land showed relatively low discharge and pollutant loads in comparison to watershed with less than 30%. The discharge of watershed in rainy season increased 5.7times compared with the dry season in watershed with less than 30% in the proportion of paddy field to land, whereas was only 2.3times in watershed with more than 30%. The correlation coefficient($R^2$) of regression between discharge and pollutant loads of T-N were higher than those of BOD and T-P.

• Tuberculosis and Respiratory Diseases
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• v.47 no.1
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• pp.42-49
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• 1999

Background: In patients with chronic obstructive pulmonary disease(COPD). it is well known that hypoxemia increases the frequency of VPB, which is associated with the poor prognosis such as sudden death. The aim of this study is to evaluate the effect of short and long-term low flow oxygen therapy on the development of VPBs in patients with COPD by correcting the hypoxemia. Method: In 19 patients with COPD, oxygen saturation and VPB's were monitored by pulse oxymeter and 24-hour Holter EKG, with room air and oxygen saturation and VPB's were monitored on the 1st and on the 8th day during oxygen therapy with nasal prong (2L/min). Results : The arterial oxygen saturation was significantly higher on the 1st day of oxygen therapy compared with breathing room air, and was also higher on the 8th day of oxygen therapy than on the 1st day. We found that there was significant correlation between the lowest value of the arterial oxygen saturation and the mean value of the arterial oxygen saturation. The number of VPB's per hour was significantly lower on the 1st day of oxygen therapy compared with breathing room air, and also lower on the 8th day of oxygen therapy than on the 1st day. Our results showed positive correlation between the decrease in the frequency of VPB's and the increase in the lowest arterial oxygen saturation, even though correlation was not significant(p=0.056). Conclusion: With oxygen therapy, the arterial oxygen saturation was increased and the number of VPB's was decreased. Long-term oxygen therapy more than 7days, would be helpful to decrease the number of VPB' s in patients with COPD.

• Korean Journal of Ecology and Environment
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• v.39 no.4 s.118
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• pp.498-507
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• 2006

The main objective of present study was to evaluate how seasonal rainfall influenced natural habitat conditions of 10 metric habitat variables along with ionic conditions and suspended solids in the Woopo Wetland during August 2002-July 2003. Largest spatial variabilities in total suspended solids (TSS) occurred during the summer monsoon and the inorganic suspended solids (ISS), expressed as a inorganic proportion of total solids, showed linearly increasing trend from the upstream to downstream. This phenomenon was mainly attributed to counter flow of turbid water from the main Nakdong-River. During the flooding, ISS : TSS ratio showed large increases (92%) in the downstream than the upstream (43%). For this reason, transparency declined (mean=0.13 m, range=0.08-0.21 m) largely in the downstream reach and thus, chlorophyll-a concentration showed low values (range: $4.2-8.6\;{\mu}g\;L^{-1}$), indicating a direct influence on primary productivity or algal growth by inorganic turbidity. In the 2nd survey, ISS averaged 4.0 mg $L^{-1}$ (3.3-4.8 mg $L^{-1}$), thus the ISS decreased by 14 fold, compared to the ISS in the 1st survey during the flooding, while organic suspended solids (OSS) values were greater than those of ISS, indicating a dominance of organic solids. This condition was similar to solid contents in the 3rd survey, but showed a large difference compared to the 4th survey during the growing season. Habitat health assessments, based on 10 metric habitat variables, showed that QHEI values were greatest in the growing season (May) than any other seasons and largest spatial variations occurred in the 2nd survey. Overall, dataset suggest that seasonal episodic flooding during the monsoon may largely contribute nutrient cycling and sediment contents in the Woopo Wetland and Topyung Stream.

• Journal of Life Science
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• v.19 no.11
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• pp.1658-1665
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• 2009

This study was carried out on thirty men to define the association of inflammatory markers with physiological factors on one-time aerobic exercise (for 15 min. Post-exercise interleukin-6 (IL-6), mean corpuscular hemoglobin concentration (MCHC), heart rate (HR), systolic blood pressure (SBP), and pulsatility and resistance index of middle cerebral artery (PI and RI, respectively) levels were elevated compared to those measured pre-exercise. Total leukocyte and platelet counts, high-sensitivity C-reactive protein (hs-CRP), free radical (FR), and low density lipoprotein cholesterol (LDL) levels tended to decrease after exercise. Pre-exercise IL-6 levels were positively correlated with pre-exercise SBP levels, while post-exercise IL-6 level was positively correlated with post-exercise PI and RI levels. Post-exercise, hs-CRP levels were negatively related to SBP and HR. Pre-exercise, FR levels were positively associated to SBP, DBP, and HR. Post-exercise FR levels were negatively related to the post-exercise blood flow velocity in middle cerebral artery. Pre-exercise erythrocyte indices (RBC, MCV, MCH, and MCHC levels) were in inverse proportion to pre-exercise IL-6 levels. Post-exercise FR levels were inversely related to post-exercise total leukocyte, lymphocyte, monocyte, and MCH levels. Pre-exercise $Mg^{++}$ levels were in inverse proportion to pre-exercise IL-6, hs-CRP, or FR levels. These findings suggest that one-time aerobic exercise offers a significant relationship between inflammatory markers and some biochemical markers or electrolytes. Further studies need to be carried out for investigation of differences between genders or age groups following one-time or regular aerobic exercise.

• International Journal of Highway Engineering
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• v.11 no.4
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• pp.69-78
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• 2009

Korea has achieved significant economic growth with building the Gyeongbu Expressway. As the number of new road construction projects has decreased, it becomes more important to maintain optimal status of the current road networks. One of the best ways to accomplish it is weight enforcement as active control measure of traffic load. This study is to develop High-speed Weigh-in-motion System in order to enhance efficiency of weight enforcement, and to analyze patterns of overloaded trucks on highways through the system. Furthermore, it is to review possibilities of developing overweight control system with application of the HS-WIM system. The HS-WIM system developed by this study consists of two sets of an axle load sensor, a loop sensor and a wandering sensor on each lane. A wandering sensor detects whether a travelling vehicle is off the lane or not with the function of checking the location of tire imprint. The sensor of the WIM system has better function of classifying types of vehicles than other existing systems by detecting wheel distance and tire type such as single or dual tire. As a result, its measurement errors regarding 12 types of vehicle classification are very low, which is an advantage of the sensor. The verification tests of the system under all conditions showed that the mean measurement errors of axle weight and gross axle weight were within 15 percent and 7 percent respectively. According to the WIM rate standard of the COST-323, the WIM system of this study is ranked at B(10). It means the system is appropriate for the purpose of design, maintenance and valuation of road infrastructure. The WIM system in testing a 5-axle cargo truck, the most frequently overloaded vehicle among 12 types of vehicles, is ranked at A(5) which means the system is available to control overloaded vehicles. In this case, the measurement errors of axle load and gross axle load were within 8 percent and 5 percent respectively. Weight analysis of all types of vehicles on highways showed that the most frequently overloaded vehicles were type 5, 6, 7 and 12 among 12 vehicle types. As a result, it is necessary to use more effective overweight enforcement system for vehicles which are seriously overloaded due to their lift axles. Traffic volume data depending upon vehicle types is basic information for road design and construction, maintenance, analysis of traffic flow, road policies as well as research.

• Journal of Intelligence and Information Systems
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• v.25 no.3
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• pp.1-17
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• 2019

Because stock price forecasting is an important issue both academically and practically, research in stock price prediction has been actively conducted. The stock price forecasting research is classified into using structured data and using unstructured data. With structured data such as historical stock price and financial statements, past studies usually used technical analysis approach and fundamental analysis. In the big data era, the amount of information has rapidly increased, and the artificial intelligence methodology that can find meaning by quantifying string information, which is an unstructured data that takes up a large amount of information, has developed rapidly. With these developments, many attempts with unstructured data are being made to predict stock prices through online news by applying text mining to stock price forecasts. The stock price prediction methodology adopted in many papers is to forecast stock prices with the news of the target companies to be forecasted. However, according to previous research, not only news of a target company affects its stock price, but news of companies that are related to the company can also affect the stock price. However, finding a highly relevant company is not easy because of the market-wide impact and random signs. Thus, existing studies have found highly relevant companies based primarily on pre-determined international industry classification standards. However, according to recent research, global industry classification standard has different homogeneity within the sectors, and it leads to a limitation that forecasting stock prices by taking them all together without considering only relevant companies can adversely affect predictive performance. To overcome the limitation, we first used random matrix theory with text mining for stock prediction. Wherever the dimension of data is large, the classical limit theorems are no longer suitable, because the statistical efficiency will be reduced. Therefore, a simple correlation analysis in the financial market does not mean the true correlation. To solve the issue, we adopt random matrix theory, which is mainly used in econophysics, to remove market-wide effects and random signals and find a true correlation between companies. With the true correlation, we perform cluster analysis to find relevant companies. Also, based on the clustering analysis, we used multiple kernel learning algorithm, which is an ensemble of support vector machine to incorporate the effects of the target firm and its relevant firms simultaneously. Each kernel was assigned to predict stock prices with features of financial news of the target firm and its relevant firms. The results of this study are as follows. The results of this paper are as follows. (1) Following the existing research flow, we confirmed that it is an effective way to forecast stock prices using news from relevant companies. (2) When looking for a relevant company, looking for it in the wrong way can lower AI prediction performance. (3) The proposed approach with random matrix theory shows better performance than previous studies if cluster analysis is performed based on the true correlation by removing market-wide effects and random signals. The contribution of this study is as follows. First, this study shows that random matrix theory, which is used mainly in economic physics, can be combined with artificial intelligence to produce good methodologies. This suggests that it is important not only to develop AI algorithms but also to adopt physics theory. This extends the existing research that presented the methodology by integrating artificial intelligence with complex system theory through transfer entropy. Second, this study stressed that finding the right companies in the stock market is an important issue. This suggests that it is not only important to study artificial intelligence algorithms, but how to theoretically adjust the input values. Third, we confirmed that firms classified as Global Industrial Classification Standard (GICS) might have low relevance and suggested it is necessary to theoretically define the relevance rather than simply finding it in the GICS.

• Korean Journal of Ecology and Environment
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• v.51 no.4
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• pp.268-286
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• 2018

The eutrophication and algal blooms by harmful cyanobacteria (CyanoHAs) and freshwater redtide (FRT) that severely experiencing in typical regulated weir system of the Nakdong River are one of the most rapidly expanding water quality problems in Korea and worldwide. To compare with the factors of rainfall, hydrology, and dominant algae, this study explored spatiotemporal variability of the major water environmental factors by weekly intervals in eight weir pools of the Nakdong River from January 2013 to July 2017. There was a distinct difference in rainfall distribution between upstream and downstream regions. Outflow discharge using small-scale hydropower generation, overflow and fish-ways accounted for 37.4%, 60.1% and 2.5%, respectively. Excluding the flood season, the outflow was mainly due to the hydropower release through year-round. These have been associated with the drawdown of water level, water exchange rate, and the significant impact on change of dominant algae. The mean concentration (maximum value) of chlorophyll-a was $17.6mg\;m^{-3}$ ($98.2mg\;m^{-3}$) in the SAJ~GAJ and $29.6mg\;m^{-3}$ ($193.6mg\;m^{-3}$) in the DAS~HAA weir pools reaches, respectively. It has increased significantly in the downstream part where the influence of treated wastewater effluents (TWEs) is high. Indeed, very high values (>50 or $>100mg\;m^{-3}$) of chlorophyll-a concentration were observed at low flow rates and water levels. Algal assemblages that caused the blooms of CyanoHAs and FRT were the cyanobacteria Microcystis and the diatom Stephanodiscus populations, respectively. In conclusion, appropriate hydrological management practices in terms of each weir pool may need to be developed.