• Title/Summary/Keyword: daily price

Search Result 301, Processing Time 0.028 seconds

Consumers Perceptions on Sodium Saccharin in Social Media (소셜미디어 분석을 통한 삭카린나트륨 소비자 인식 조사)

  • Lee, Sooyeon;Lee, Wonsung;Moon, Il-Chul;Kwon, Hoonjeong
    • Journal of Food Hygiene and Safety
    • /
    • v.30 no.4
    • /
    • pp.329-342
    • /
    • 2015
  • The purpose of this study was to investigate consumers' perceptions of sodium saccharin in social media. Data was collected from Naver blogs and Naver web communities (Korean representative portal web-site), and media reports including comment sections on a Yonhap news website (Korean largest news agency). The results from Naver blogs and Naver web communities showed that it was primarily mentioned 'sodium saccharin-no added' products, properties of sodium saccharin, and methods of reducing sodium saccharin in food. When media reported the expansion of food categories permitted to use sodium saccharin, search volume for sodium saccharin has increased in both PC and mobile search engines. Also, it was mainly commented about distrust of government, criticism of food product price, and distrust of food companies below the news on the news site. The label of sodium saccharin-no added products in market emphasized "no added-sodium saccharin". These results suggest that consumers are interested in sodium saccharin and especially when media reported the expansion of food categories permitted to use it. Consumers were able to search various information on sodium saccharin except safety or acceptable daily intake through social media. Therefore media or competent authority should report item on sodium saccharin with information including safety or acceptable daily intake based on scientific background and reference or experts' interview for consumers to get reliable information.

Development of Convenient Menu School Breakfast Program for High School Students (고등학생을 위한 아침급식용 간편식단 개발)

  • Kim, Jung-Eun;Ji, Myoung-Soon
    • Korean journal of food and cookery science
    • /
    • v.29 no.4
    • /
    • pp.343-351
    • /
    • 2013
  • To help reduce the 'breakfast-skip' rate of the high school students and improve such 'breakfast-skipping' practice this study devised a new covenience menu for school breakfast Program. Dictated by a dietitian the form of cooking was rendered within directly-cookable convenient food; The price of menu ranged from 1,500-2,000won taking into account the parents' survey ; the menu formation drew largely from the student food preference survey and their favorites. The composition of menu - the Korean dish and the western dish put together-were of two folds and was based on the two: main menu, subsidiary menu. While main menu used rice, the subsidiary one used fruits, salads, milk, and juices. Energy intake sufficiency standard was set at a level of between 1/4 and 1/3 of the relevent group(mid&high students, 15-18 yrs old)'s approximated energy need, drawn from the Dietary Reference Intakes For Koreans(2010). 10 disparate, divised menus were tested deliberately- cooked at a site, thereafter qualifed and supplemented to meet the targeted energy amount. The nuturitional facts of each menu set were measured through the usage of CAN-PRO 3.0, Computer Aided Nutritional Analysis Program, for professionals. Completed menu set were then given in photograph. The results of this study were as follows : The results of this study were as follows : the newly developed menu's calories and nuturitional content were as follows in the ratio of Dietary Reference Intakes For Koreans(2010) : Calories 95.7%(4.3% below the targeted intake standard), Protein(131.1%), Calcium(130.2%) the both of which marked higher than the recommended daily intake, iron(71.0%), Potassium(93.1%) both of which figure lower than the recommended daily intake. The cost of ingredients per each person was 1,335won, which was lower than the targeted cost(1500won). When calculated, hypothetically provided breakfast's labor hour needed per 1 meal is shown to be average 1.2 minute. In conslusion : Convenience style school breakfast program would bring an increse in the intake of high school students' breakfast, which may contribute not only to the sound physical growth but to academic performance. Various developments of the school breakfast program is much needed continually.

Effects of Restricted Feeding Method on Growth Performance, Carcass Characteristics and Economic Efficiency in Finishing Pigs (제한 급여 방법이 비육돈의 성장, 도체특성 및 경제성에 미치는 영향)

  • Min, Ye-Jin;Jung, Hyun-Jung;Kim, Ki-Hyun;Kim, Jo-Eun;Yu, Dong-Jo;Jeong, Yong-Dae;Kim, Young-Hwa;Kim, Doo-Wan;Choi, Yo-Han
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.20 no.11
    • /
    • pp.394-401
    • /
    • 2019
  • This study examined the effects of restricted feeding on the growth performance, carcass characteristics, and economic efficiency of finishing pigs for 27 days. A total of 24 finishing pigs (Landrace×Yorkshire×Duroc, average initial body weight of 81.52±1.11 kg) were allotted randomly to two treatments with 12 replicates (one pig per replicate). The experimental treatments were ad libitum feeding (AF), and restricted feeding (RF) with a 10% increase in offered feed than the day before if required. The results showed that the average daily feed intake (ADFI; p<0.001) of the pigs were improved in the RF treatment, but there were no changes in the average daily gain and weight gain to feed intake ratio (G:F). There were no significant differences in carcass weight and backfat thickness. In addition, the total pork price per pig was not affected by RF. Although total feed intake (TFI) and total feed intake cost (TFC) were significantly lower in the RF pigs (p<0.001), the feed cost per 1 kg weight gain (FCG) was similar regardless of the treatments. In conclusion, the RF method may decrease the feed cost due to a lower TFI and TFC.

The Impact of Information on Stock Message Boards on Stock Trading Behaviors of Individual Investors based on Order Imbalance Analysis (온라인 주식게시판 정보가 주식투자자의 거래행태에 미치는 영향)

  • Kim, Hyun Mo;Park, Jae Hong
    • Information Systems Review
    • /
    • v.18 no.2
    • /
    • pp.23-38
    • /
    • 2016
  • Previous studies on information systems (IS) and finance suggest that information on stock message boards influence the investment decisions of individual investors. However, how information on online stock message boards influences an individual investor's buy or sell decisions is unclear. To address this research question, we investigate the relationship between a number of posts on stock message boards and order imbalance in stock markets. Order imbalance is defined as the difference between the daily sum of buy-side shares traded and the daily sum of sell-side shares traded. Therefore, order imbalance can suggest the direction of trades and the strength of the direction with trading volumes. In this regard, this study examines how the number of posts (information on stock message boards) influences order imbalance (stock trading behavior). We collected about 46,077 messages of 40 companies on the Korea Composite Stock Price Index from Paxnet, the most popular Korean online stock message board. The messages we collected were divided based on in-trading and after-trading hours to examine the relationship between the numbers of posts and trading volumes. We also collected order imbalance data on individual investors. We then integrated the balanced panel data sets and analyzed them through vector regression. We found that the number of posts on online stock message boards is positively related to prior order imbalance. We believe that our findings contribute to knowledge in IS and finance. Furthermore, this study suggests that investors should carefully monitor information on stock message boards to understand stock market sentiments.

The characteristics of Pacioli's Bookkeeping (파치올리 부기론의 특성에 관한 고찰)

  • Yoon Seok-Gon
    • Journal of the Korea Society of Computer and Information
    • /
    • v.10 no.3 s.35
    • /
    • pp.297-306
    • /
    • 2005
  • Compendium of arithmetic, geometry, and proportions and proportionality' that was published in Venice in 1494 has been recognized as the first bookkeeping data in the world. Major characteristics of Pacioli's bookkeeping rules were reviewed in this study as follows: All the necessary particulars for double entry bookkeeping were provided in Pacioli's bookkeeping rules;. List of property was described at the time of start of business; Three major books were used; Details of daily transactions were considered to be important; Strike through was lined at each description in journal books, details of daily transactions, and list of property after entry of ledger; Amount columns were provided and Arabic numerals were used; Annual settlement custom was being initiated; Profit and loss account was prepared at year-end; Trial balance sheet was inevitably described; Books were verified prior to closing accounts; Control account was not established; Financial statements were not prepared and business analysis was made, too; Finished goods inventory was not adjusted; Mark was assigned to books; Inter-office account was prepared; Branch accounts and branch ledgers were prepared; There was entries of trust; Current arrangement was described; The principle 'Cost or market price, whichever is lower basis' was promoted: Petty cash system is explained Checks and bills of exchange are used in bank account. As mentioned, characteristics of Pacioli's bookkeeping rules were reviewed; the signs of necessity for preparation of profit and loss statement and balance sheet is found as well as preparation of trial balance sheet and the rules may be considered as a very excellent one in terms of the bookkeeping on initiating stage of double entry bookkeeping.

  • PDF

The Prediction of Cryptocurrency on Using Text Mining and Deep Learning Techniques : Comparison of Korean and USA Market (텍스트 마이닝과 딥러닝을 활용한 암호화폐 가격 예측 : 한국과 미국시장 비교)

  • Won, Jonggwan;Hong, Taeho
    • Knowledge Management Research
    • /
    • v.22 no.2
    • /
    • pp.1-17
    • /
    • 2021
  • In this study, we predicted the bitcoin prices of Bithum and Coinbase, a leading exchange in Korea and USA, using ARIMA and Recurrent Neural Networks(RNNs). And we used news articles from each country to suggest a separated RNN model. The suggested model identifies the datasets based on the changing trend of prices in the training data, and then applies time series prediction technique(RNNs) to create multiple models. Then we used daily news data to create a term-based dictionary for each trend change point. We explored trend change points in the test data using the daily news keyword data of testset and term-based dictionary, and apply a matching model to produce prediction results. With this approach we obtained higher accuracy than the model which predicted price by applying just time series prediction technique. This study presents that the limitations of the time series prediction techniques could be overcome by exploring trend change points using news data and various time series prediction techniques with text mining techniques could be applied to improve the performance of the model in the further research.

The effect of seasonal thermal stress on milk production and milk compositions of Korean Holstein and Jersey cows

  • Lim, Dong-Hyun;Mayakrishnan, Vijayakumar;Ki, Kwang-Seok;Kim, Younghoon;Kim, Tae-Il
    • Animal Bioscience
    • /
    • v.34 no.4
    • /
    • pp.567-574
    • /
    • 2021
  • Objective: In this study we investigated the effect of seasonal thermal stress on milk production and milk compositions between Holstein and Jersey dairy cows under the temperate-climate in Korea. Methods: A total of 9 Holstein lactating dairy cows (2.0±0.11 parity) which had a daily milk yield of 29.77±0.45 kg, and days in milk of 111.2±10.29 were selected similarly at the beginning of the experiments in each season. Also, a total of 9 Jersey lactating dairy cows (1.7±0.12 parity) which had a daily milk yield of 20.01±0.43 kg, and days in milk of 114.0±9.74 were selected similarly at the beginning of the experiments. Results: Results showed that the average ambient temperature (℃) and temperature-humidity index (THI) were higher in summer, and were lower in winter (p<0.05). The average relative humidity (RH, %) was higher in autumn than that of other seasons (p<0.05). Milk production was significantly decreased (Holstein 29.02 kg/d and Jersey 19.75 kg/d) in autumn than in other seasons (Holstein 30.14 kg/d and Jersey 20.96 kg/d). However, the milk production was negatively correlated in Holstein cows, and positively correlated in Jersey cows with THI values increased from 16 to 80. In addition, milk yield was increased by 15% in Holstein cows and decreased by 11% in Jersey cows with the THI values increased from 16 to 20. The fat and protein content percentage was significantly higher in Jersey milk than in Holstein milk, furthermore the fat and protein content yield was higher in Jersey cow milk than that of Holstein cow's milk with all THIs. Conclusion: From the study results, we concluded that Jersey cows might be less adaptable to low temperature of the winter, and this would have a negative impact on dairy farmer income since Korea's milk price estimation system places a higher value on milk yield than on milk compositions or sanitary grades.

Estimating milk production losses by heat stress and its impacts on greenhouse gas emissions in Korean dairy farms

  • Geun-woo, Park;Mohammad, Ataallahi;Seon Yong, Ham;Se Jong, Oh;Ki-Youn, Kim;Kyu-Hyun, Park
    • Journal of Animal Science and Technology
    • /
    • v.64 no.4
    • /
    • pp.770-781
    • /
    • 2022
  • Meteorological disasters caused by climate change like heat, cold waves, and unusually long rainy seasons affect the milk productivity of cows. Studies have been conducted on how milk productivity and milk compositions change due to heat stress (HS). However, the estimation of losses in milk production due to HS and hereby environmental impacts of greenhouse gas (GHG) emissions are yet to be evaluated in Korean dairy farms. Dairy milk production and milk compositions data from March to October 2018, provided by the Korea Dairy Committee (KDC), were used to compare regional milk production with the temperature-humidity index (THI). Raw data for the daily temperature and relative humidity in 2018 were obtained from the Korea Meteorological Administration (KMA). This data was used to calculate the THI and the difference between the maximum and minimum temperature changing rate, as the average daily temperature range, to show the extent to which the temperature gap can affect milk productivity. The amount of milk was calculated based on the price of 926 won/kg from KDC. The results showed that the average milk production rate was the highest within the THI range 60-73 in three regions in May: Chulwon (northern region), Hwasung (central region), and Gunwi (southern region). The average milk production decreased by 4.96 ± 1.48% in northern region, 7.12 ± 2.36% in central region, and 7.94 ± 2.57% in southern region from June to August, which had a THI range of 73 or more, when compared to May. Based on the results, the level of THI should be maintained like May. If so, the farmers can earn a profit of 9,128,730 won/farm in northern region, 9,967,880 won/farm in central region, and 12,245,300 won/farm in southern region. Additionally, the average number of cows raised can be reduced by 2.41 ± 0.35 heads/farm, thereby reducing GHG emissions by 29.61 ± 4.36 kg CO2eq/day on average. Overall, the conclusion suggests that maintaining environmental conditions in the summer that are similar to those in May is necessary. This knowledge can be used for basic research to persuade farmers to change farm facilities to increase the economic benefits and improve animal welfare.

Performance Analysis of Trading Strategy using Gradient Boosting Machine Learning and Genetic Algorithm

  • Jang, Phil-Sik
    • Journal of the Korea Society of Computer and Information
    • /
    • v.27 no.11
    • /
    • pp.147-155
    • /
    • 2022
  • In this study, we developed a system to dynamically balance a daily stock portfolio and performed trading simulations using gradient boosting and genetic algorithms. We collected various stock market data from stocks listed on the KOSPI and KOSDAQ markets, including investor-specific transaction data. Subsequently, we indexed the data as a preprocessing step, and used feature engineering to modify and generate variables for training. First, we experimentally compared the performance of three popular gradient boosting algorithms in terms of accuracy, precision, recall, and F1-score, including XGBoost, LightGBM, and CatBoost. Based on the results, in a second experiment, we used a LightGBM model trained on the collected data along with genetic algorithms to predict and select stocks with a high daily probability of profit. We also conducted simulations of trading during the period of the testing data to analyze the performance of the proposed approach compared with the KOSPI and KOSDAQ indices in terms of the CAGR (Compound Annual Growth Rate), MDD (Maximum Draw Down), Sharpe ratio, and volatility. The results showed that the proposed strategies outperformed those employed by the Korean stock market in terms of all performance metrics. Moreover, our proposed LightGBM model with a genetic algorithm exhibited competitive performance in predicting stock price movements.

Information Spillover Effects from Macroeconomic Variables to Hotel·Leisure Stock Index (거시경제변수의 호텔·레저 주가지수에 대한 정보이전효과에 관한 연구)

  • Kim, Soo-Kyung;Yu, Seo-Young;Byun, Youngtae
    • Culinary science and hospitality research
    • /
    • v.22 no.3
    • /
    • pp.212-223
    • /
    • 2016
  • The purpose of this study is to verify information spillover effects using returns of macroeconomic variables and hotel leisure stock index daily data from January 4, 2000 to December 30, 2015. The findings and implications of the research can be summarized as follows. First, based on time-varying AR(1)-GARCH(1,1) models no evidence of statistically significant conditional mean and volatility spillover effects from returns of macroeconomic variables on the hotel leisure stock index was observed. In addition, no evidence of price volatility spillover from macroeconomic variables on the hotel leisure market was observed. Second, it was discovered that there exists a significantly negative relationship between the return of ER and hotel leisure stock prices, but a positive relationship between the KOSPI and hotel leisure stock prices. Finally, the study also found that was a significantly positive relationship between the volatility of DUB and hotel leisure market, and an adversely negative relationship between the volatility of ER and hotel leisure market. The results of this study are expected to contribute by providing useful information for investment strategies, as well as for risk management for investors and managers.