PURPOSES:This study suggests a specific methodology for the prediction of road surface temperature using vehicular ambient temperature sensors. In addition, four kind of models is developed based on machine learning algorithms.METHODS:Thermal Mapping System is employed to collect road surface and vehicular ambient temperature data on the defined survey route in 2015 and 2016 year, respectively. For modelling, all types of collected temperature data should be classified into response and predictor before applying a machine learning tool such as MATLAB. In this study, collected road surface temperature are considered as response while vehicular ambient temperatures defied as predictor. Through data learning using machine learning tool, models were developed and finally compared predicted and actual temperature based on average absolute error.RESULTS:According to comparison results, model enables to estimate actual road surface temperature variation pattern along the roads very well. Model III is slightly better than the rest of models in terms of estimation performance.CONCLUSIONS :When correlation between response and predictor is high, when plenty of historical data exists, and when a lot of predictors are available, estimation performance of would be much better.

This study was conducted to determine the effect of dietary whole-crop barley silage on average daily feed intake, average daily weight gain, velvet antler yield and economic efficacy in sika deer during growth. A total of 24 sika deer (initially 56.3 kg BW) of 24 months age were allotted in arrangement in a completely randomized design. The three treatments were: T1(hay diet), T2(whole-crop barley silage), and T3(50% hay+50% whole-crop barley silage). Concentrate feed were 1.5% feeding of body weight with all groups. Average daily weight gain of T3 was higher than those of others for the entire experimental period. Average daily feed intake of sika deer in decreasing order was as follows; T1>T3>T2. The velvet antler yield was highest in T3 group (315±112 g) compared with T1 (276±59 g) and T2 (283±108 g). However, there was no significant difference in average daily feed intake, average daily weight gain, velvet antler yield(p>0.05). In economic efficacy, T3 was about 15-29% higher than that of T1 and T2. In conclusion, the mixed feeding of 50% hay and 50% whole-crop barley silage was more effective in average daily feed intake, average daily weight gain, velvet antler yield and economic efficacy in sika deer

We investigated the effect of glutathione supplementation on feed intake, body weight loss, behavior change and economic analysis of elk bull in breeding season. Sixteen elk bulls (5-year-old, average weight; 330 kg) after antler cutting were divided into 2 groups. Eight bulls in each group (control and glutathione group) were fed experimental diet at a level of 0.85 percent of body weight and 6 mg glutathione per kg body weight. As a result, weight-loss of control animal during experimental study (from September to November) was 42.6±19.2 kg while that of glutathione-supplemented group was 20.6 ±19.9 kg. Compared to control group, glutathione-fed group had prevented the body weight loss by 5.2% (p<0.05). Although the feed intake of elk voluntarily decreases during breeding season, daily DM intake per head was 5.59 and 5.80kg in control and glutathione-fed group, respectively. While the statistical difference in feed intake between two groups was not observed, feed intake tended to increase in glutathione-fed group. In economic analysis, additional cost of 99,000 KRW per head was spent due to the cost of glutathione because of its import. Changes in behavior such as crying, deer whistles, whistling intensity and frequency of accident were lower in glutathione-fed group compared to control. During breeding season, use of glutathione as feed supplement could suppress body weight loss and accidents in deer farm.

BAT-AEL(Best Available Techniques Associate Emission Level) is the basis for establishing permissible emission standards for the workplace. Therefore, it is necessary to formulate a regulated BAT-AEL setting methodology that is generally applicable to all relevant industries. For the BAT-AEL settings, various factors should be considered such as the pollutants item, whether the workplace is subject to integrated pollution prevention and control, whether BAT is applicable, the basic data type, the emission classification system, and the suitability of the collected data. Among these factors, it is the most important factor to establish the classification system for the emitting facilities such that the emission characteristics of an industrial facility and its pollutants can be effectively reflected. Furthermore the target of the survey workplace should adhere to the BAT guidelines, even if it is a workplace that is subject to an the integrated environmental system. Certified data (SEMS, TMS, cleanSYS, WEMS, etc.) can be used to prioritize the classification system for the emission facility and the emission levels of pollutants. However, the self-measured data, daily logs, and questionnaire data from the workplace can also be used upon agreement of the relevant TWG. The collected data should only be used only when the facility is operating normally. Data that have been determined to be outliers or inappropriate validation methods should also be excluded. The BAT-AEL can be establish by adhering to the following procedure: 1) investigate all relevant workplaces with in the industry, 2)select workplaces for integrated management, 3)Identify BAT application, 4)identify whether BAT is generally applicable, 5)establish a classification system for emitting facilities, 6)collection available data, 7)verify conformity, 8)remove of outliers, 9)prepare the BAT-AEL draft, 10)deliberate, and 11) perform the confirmation procedure.

This study was to verity that the uptake inhibition and accumulation of nitrogen in different potassium levels. Lettuce was used as model plant in this study and grown in pot of 10cm's in diameter and depth with mixture media of vermiculite and perlite under supply of different culture solution for three weeks. Nitrogen absorption at root was inhibited by increased potassium concentration in nutrient solution, and nitrate accumulation of plant was depended on absorption of nitrogen because nitrate content of 0 K level was 4-5 times higher than that of 2 K level, Concentration of ascorbic acid was decreased by increasing the nitrogen absorption, since ascorbic acid (AsA) content of 2K level was higher than those of OK level in both of old leaf and flesh leaf