• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.4
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• pp.143-147
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• 2018

Water levels are measured in various fields such as sewage treatment plants, water treatment plants, rivers, dams, factory storages' tanks. Ultrasonic instruments for water level measurement are expensive and are used for industrial field. Rapid advances in electronics have made it possible to build a wide variety of measurement, monitoring and control functions at low cost. This study was started to make ultrasonic level measurement system at low price. The system was constructed with an Arduino, an ultrasonic sensor and a temperature sensor for use in the experiment. The ultrasonic sensor measures the time from the sensor to the liquid surface. The temperature sensor measures the atmospheric temperature and improves the accuracy of the ultrasonic distance measurement by correcting the sound speed. Arduino controls measurements and calculates the water level. All components of the system are assembled into a device holder. Experiments with this system show that the water level measured by the system is very close to the actual value. This system is also inexpensive and easy to install and maintain, making it suitable for laboratory use.

• Asia pacific journal of information systems
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• v.24 no.2
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• pp.233-253
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• 2014

Can the stock market really be predicted? Stock market prediction has attracted much attention from many fields including business, economics, statistics, and mathematics. Early research on stock market prediction was based on random walk theory (RWT) and the efficient market hypothesis (EMH). According to the EMH, stock market are largely driven by new information rather than present and past prices. Since it is unpredictable, stock market will follow a random walk. Even though these theories, Schumaker [2010] asserted that people keep trying to predict the stock market by using artificial intelligence, statistical estimates, and mathematical models. Mathematical approaches include Percolation Methods, Log-Periodic Oscillations and Wavelet Transforms to model future prices. Examples of artificial intelligence approaches that deals with optimization and machine learning are Genetic Algorithms, Support Vector Machines (SVM) and Neural Networks. Statistical approaches typically predicts the future by using past stock market data. Recently, financial engineers have started to predict the stock prices movement pattern by using the SNS data. SNS is the place where peoples opinions and ideas are freely flow and affect others' beliefs on certain things. Through word-of-mouth in SNS, people share product usage experiences, subjective feelings, and commonly accompanying sentiment or mood with others. An increasing number of empirical analyses of sentiment and mood are based on textual collections of public user generated data on the web. The Opinion mining is one domain of the data mining fields extracting public opinions exposed in SNS by utilizing data mining. There have been many studies on the issues of opinion mining from Web sources such as product reviews, forum posts and blogs. In relation to this literatures, we are trying to understand the effects of SNS exposures of firms on stock prices in Korea. Similarly to Bollen et al. [2011], we empirically analyze the impact of SNS exposures on stock return rates. We use Social Metrics by Daum Soft, an SNS big data analysis company in Korea. Social Metrics provides trends and public opinions in Twitter and blogs by using natural language process and analysis tools. It collects the sentences circulated in the Twitter in real time, and breaks down these sentences into the word units and then extracts keywords. In this study, we classify firms' exposures in SNS into two groups: positive and negative. To test the correlation and causation relationship between SNS exposures and stock price returns, we first collect 252 firms' stock prices and KRX100 index in the Korea Stock Exchange (KRX) from May 25, 2012 to September 1, 2012. We also gather the public attitudes (positive, negative) about these firms from Social Metrics over the same period of time. We conduct regression analysis between stock prices and the number of SNS exposures. Having checked the correlation between the two variables, we perform Granger causality test to see the causation direction between the two variables. The research result is that the number of total SNS exposures is positively related with stock market returns. The number of positive mentions of has also positive relationship with stock market returns. Contrarily, the number of negative mentions has negative relationship with stock market returns, but this relationship is statistically not significant. This means that the impact of positive mentions is statistically bigger than the impact of negative mentions. We also investigate whether the impacts are moderated by industry type and firm's size. We find that the SNS exposures impacts are bigger for IT firms than for non-IT firms, and bigger for small sized firms than for large sized firms. The results of Granger causality test shows change of stock price return is caused by SNS exposures, while the causation of the other way round is not significant. Therefore the correlation relationship between SNS exposures and stock prices has uni-direction causality. The more a firm is exposed in SNS, the more is the stock price likely to increase, while stock price changes may not cause more SNS mentions.

• Korean Journal of Health Education and Promotion
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• v.4 no.2
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• pp.46-70
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• 1987

The survey with questionnaire were conducted to grasp the actual condition of four cautious drugs-antibiotics, sedative hypnctics, mincr tranquilizer, analeptics-self -medication behavior through drugstore use and to analyze the primary factors connected with it. The following six objectives were established. 1) To catch the reason why the man who medicate himself buy four cautious drugs at a drugstore, and to know the choice motive of each drug purchased. 2) To grasp the distribution of four cautious drug taken by the man who medicate himself and to analyse the reason of taking the drug. 3) To find out whether the buyer has taken the same drug past and to know the duration and the frequency. 4) To grasp the degree of recognition about four cautious drugs and the attitude toward continuous taking them. 5) To analyze the degree of recognition about the influence on human body and the attitude of medication behavior. 6) To know "the experience of side-effects" and to grasp the kind of the side-effects. The data were collected from 15 drugstores with 677 respondents in seoul from August 17 to september 21, 1987. The following results were obtained. 1) The reasons for drugstore use were first, "for easy access and convenience" (53.7%) second, "for the slightness of illness" (19.9%) third "for the cheap price" (13.2%). According to that result, the factor of "the easy access of drugstore" was most influential. In case of the poor, the factor "for the cheap price "was revealed second (37.3%). And "for the slightness of illness" was second reason in the medically insured (22. 9%), "for the cheap price" was second reason in the others (29%). 2) The kind of drugs purchased were antibiotics (62.8%), analeptics(17.2%), minor tranquilizer(13.3%) and sedative hypnotics (6.7%) on the whole. In teenagers, besides antibiotics the percentage of taking analepits came second (42.4%) and it was revealed that the percentage of sedative hypnotics, minor tranquilizer increase with age. But in proportion to the increase of age, the taking of analeptis decreased. 3) The choice motives of each drug purchased were all different. In case of antibiotics "recommendation of pharmacist" was 39.6%, sedative hypnotics "recommendation of pharmacist" and "my own judgement", 28.9%, respectively, minor tranquilizer "my own judgement", 35.2%. and in case of analeptics "my oun judgement" was most common with 53.5%. 4) The reasons for taking drugs were as follows. antibiotics was taken for the inflammation mitigation of a wound and a swelling (38.5%), sedative hypnotics for the removal of insomnia (97.5%), minor tranquilizer because of restlessness and qloominess(39.3%), and analeptics for the shortening of sleeping hours (35.1%). 5) Those experienced in taking four cautious drugs were 78.2% on the average. It was revealed that antibiotics use duration was "from one week to one month" (38.9%), the frequency was "rarely" (62.1%), sedative hypnotics and minor tranquilizer; "More than three years", (35.7%, 30.4%), respectively, "Somtimes", (43.8%, 35%), respectively. analeptics ; "from one year to three years", (27.6%), "Sometimes", (42.7%). 6) In regard to the source of information in taking drugs, 35.3 percent of male were relied on "recommendation of pharmacist", 32.6 percent of female "my own judgement", There was a difference between below the middle school graduates and over the high school graduates Thease were relied on "recommendation of pharmacist" first, those "my own judgement" first. And "my own judgement" was the first source of specialist(40%), labours(41.4%), salesman(43.5%), and jobless men(36.8%), "recommendation of ralatives on friends" was the first source of students (30.4%), "recommendation of pharmacist" was the first soure of teachers, administrative office workers (39%) and housewives (40.7%). 7) The degree of recognition about four cautious drugs was as follows. "know a little" was (43.0%), "don't know" (30.2%), "know" (26.8%), respectively. In regard to the attitude toward continuous taking them, it was revealed that "I will take it according to circumstamces" was first (56.2%), " I will not take it as possible" was first(56.2%), "I dont know well" (12.9%), "I will take it continuously" (8.3%). 8) About the influence on human body, "if proper, it is effect" was common attitude toward antibiotics (43.6%), "Probably bad influence on the health" was first toward the other drugs (46.2%), In terms of the degree of observance to taking-time and dose of drugs, "suitably" was first (37.3%), "relatively correctly" second (27%), "correctly" (17%). 9) The percentage of four cautious drugs side-effects was 27.5 on the average. The kind of side-effects were eruption and urticaria (28.5%), heart acceleration and so forth. (25.4%), headache and Giddiness, dyspepsia (23%), respectively.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.59-71
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• 2014

System trading is becoming more popular among Korean traders recently. System traders use automatic order systems based on the system generated buy and sell signals. These signals are generated from the predetermined entry and exit rules that were coded by system traders. Most researches on system trading have focused on designing profitable entry and exit rules using technical indicators. However, market conditions, strategy characteristics, and money management also have influences on the profitability of the system trading. Unexpected price deviations from the predetermined trading rules can incur large losses to system traders. Therefore, most professional traders use strategy portfolios rather than only one strategy. Building a good strategy portfolio is important because trading performance depends on strategy portfolios. Despite of the importance of designing strategy portfolio, rule of thumb methods have been used to select trading strategies. In this study, we propose a SVM-based strategy portfolio management system. SVM were introduced by Vapnik and is known to be effective for data mining area. It can build good portfolios within a very short period of time. Since SVM minimizes structural risks, it is best suitable for the futures trading market in which prices do not move exactly the same as the past. Our system trading strategies include moving-average cross system, MACD cross system, trend-following system, buy dips and sell rallies system, DMI system, Keltner channel system, Bollinger Bands system, and Fibonacci system. These strategies are well known and frequently being used by many professional traders. We program these strategies for generating automated system signals for entry and exit. We propose SVM-based strategies selection system and portfolio construction and order routing system. Strategies selection system is a portfolio training system. It generates training data and makes SVM model using optimal portfolio. We make $m{\times}n$ data matrix by dividing KOSPI 200 index futures data with a same period. Optimal strategy portfolio is derived from analyzing each strategy performance. SVM model is generated based on this data and optimal strategy portfolio. We use 80% of the data for training and the remaining 20% is used for testing the strategy. For training, we select two strategies which show the highest profit in the next day. Selection method 1 selects two strategies and method 2 selects maximum two strategies which show profit more than 0.1 point. We use one-against-all method which has fast processing time. We analyse the daily data of KOSPI 200 index futures contracts from January 1990 to November 2011. Price change rates for 50 days are used as SVM input data. The training period is from January 1990 to March 2007 and the test period is from March 2007 to November 2011. We suggest three benchmark strategies portfolio. BM1 holds two contracts of KOSPI 200 index futures for testing period. BM2 is constructed as two strategies which show the largest cumulative profit during 30 days before testing starts. BM3 has two strategies which show best profits during testing period. Trading cost include brokerage commission cost and slippage cost. The proposed strategy portfolio management system shows profit more than double of the benchmark portfolios. BM1 shows 103.44 point profit, BM2 shows 488.61 point profit, and BM3 shows 502.41 point profit after deducting trading cost. The best benchmark is the portfolio of the two best profit strategies during the test period. The proposed system 1 shows 706.22 point profit and proposed system 2 shows 768.95 point profit after deducting trading cost. The equity curves for the entire period show stable pattern. With higher profit, this suggests a good trading direction for system traders. We can make more stable and more profitable portfolios if we add money management module to the system.

• YAKHAK HOEJI
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• v.49 no.6
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• pp.449-458
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• 2005

There have been rapid changes in the pharmaceutical environment after the separation of Dispensing and Prescribing practice. In the early stage of this system, outpatients had few options to choose their pharmacies due to various obstacles. Under these circumstances, this study on the defection tendency of long-term care patients was performed through the analysis of outpatients who quit visiting a pharmacy nearby general hospital. PowerBuilder ver 9.0 program was used to extract significant data, and SPSS package was employed for statistic analysis. 3,308 outpatients who visited a pharmacy nearby hospital for a month (in January, 2004) were studied. Patients' sex, age and location of residence, the class of medical insurance, the characteristic type of medication (powder, split form, medication for external use/injection), waiting time, disease (department) were considered as variable factors. It turned out that the patient revisit ratio was 80.8$\%$ and the patient defection ratio was 32.4$\%$. As was expected, those factors mentioned above influenced on the revisit and defection ratio considerably. In terms of patient factors, it proved that there was no relationship among sex, location of residence, the class of medical insurance and revisit (defection) ratio. Only age factor influenced the ratio; the older, the higher revisit ratio and the less defection ratio. In respect of dispensing factors, there were obvious relationships among the factors and the ratio: bill (money they had to pay individually), waiting time, number of medications, splitting of tablets, unit price of drug and revisit (defection) ratio showed significant relationship. The result of this study revealed an aspect of outpatients' behavior and it could be used as a reference for better patient service and customer relationship management.

• Korean journal of food and cookery science
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• v.19 no.3
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• pp.300-307
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• 2003

This research investigated the consumption of various rice-based processed foods of 279 housewives in Daegu. 70% of the housewives that responded to the question graduated from a high school or college, was 30∼40 years old and full-time housewives. The main places for purchasing the rice-based processed foods were large size discount store and supermarkets, as other industrial products and the family′s preference was the most critical factors in choosing the products. The fact that the main reason of purchasing the rice breads and cookies, instead of wheat, was "They may be good for health” indicated many housewives have a positive perception of rice-based foods. Among the rice-based processed foods, the using frequency of rice cake (dduk) was the highest, with rice cookies and rice drinks being the next most frequent. However, the frequencies of cooked rice (bob) and rice flour were very low. An analysis of the correlation for the using frequency of 15 rice-based processed foods showed that the use of rice cookies and breads, instead of wheat, was highly correlated to another 13 foods. The critical reasons why they do not consume cooked rice and rice flour were uncertainty of the purity of the rice and the addition of preservatives, and that with rice bread and noodles there was no information available about the products, and hey have a poor taste. The most common reasons of using cooked rice were no time to cook and simple curiosity about the products. However, the consumers were suspicious of containers, which were a potential cause of environmental hormones, and the high price of the products. Packed rice flour was mainly used as an ingredient to give the viscosity to a product. The advantages of using rice flour were that it was available to control the amount of buying and the convenience to buy. However, it was pointed out that the taste of products containing packed rice flour were poorer than that of rice flour ground at a mill.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.2 s.150
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• pp.207-220
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• 2006

The purpose of the study is to develop the basic pattern of casual jacket for men aged between 25 and 34. Compared to the tailored jackets, casual jackets are designed much more diverse form depending on the target customer, price range and moreover fashion trend. Therefore in order to reduce the cost and time of developing new style, pattern draft from the basic pattern is better approach rather than develop each style form the measurements every time. For men's casual jacket pattern draft, the basic pattern of fit and comfort was developed through following research procedures. 173 men were surveyed about their habit of buying and wearing of casual jackets. MDs and pattern designers of 10 casual wear brands for men were interviewed. As a starting point, 3 different basic patterns were selected. 2 patterns were from the 2 interviewed brands and the last one was the pattern of ESMOD. The 3 patterns were studied by means of comparing measurements and general styling. As a results it was found that the pattern of S brand is featuring I silhouette, the pattern of K brand is featuring H silhouette and the pattern of ESMOD is featuring Y silhouette. The results of wearing test showed that the pattern of S brand is the best among the three. They were to add ease around the chest line and waist line, to relocate the waist line and the break point, to increase the jacket length and upper arm width. The improved pattern was made of polyester for the wearing test. The wearing test showed developed pattern was improved significantly. To verify the use of developed basic pattern, two buttoned single jacket was made.

• Proceedings of the Korea Concrete Institute Conference
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• 2008.11a
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• pp.513-516
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• 2008

Recently, a demand for reduction of construction cost by reducing construction period is increasing because of the slump of the construction business, the increasing price of raw-materials and the enforcement of after-sale system. As a method of reducing construction period, many construction companies usually apply a method of reducing curing period. But if they use an existing early strength cement or admixture, they spend a heavy cost on materials and there are many problems, such as a heat of hydration and a loss of workability. The purpose of this research is a reduction of construction cost by reducing construction period as a earlier removal time of form. To check up application of concrete using high early strength binder and admixture, comparative tests were carried out with concrete using an existing early strength cement or admixture such as tests of diurnal variation, setting time and compressive strength.

• Proceedings of the KIEE Conference
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• 2006.05a
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• pp.74-77
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• 2006

This research is focused on the development of GIS Diagnostic SYSTEM to prevent accidents beforehand by inspecting the internal defects of GIS (Gas Insulated Switchgear) which is a main power-facility for substations. GIS Diagnostic SYSTEM is categorized as 'Real time on-line test type' and 'Portable test type' depending on the types of testing, it uses PD(partial discharge) which mostly incurs in GIS internal defects, to inspect. As of now, mostly foreign equipments are imported for use due to the lack of the technology localization, and these are installed and operated on only some parts of highly-graded GIS power-facilities such as in 76skv or 345kv for its being expensive. Furthermore, other than foreign equipments being costly, it also has a weak point of very long unavailability in case of Diagnostic system break-down while using, because it takes a comparatively long period of corrective maintenance precesses. We have localized to develop personal real-time multi -functional GIS Diagnostic system which can test on all GIS power-facility comprehensively and economically therefore overcome all these problems mentioned above, a market expansion is expected from the decrease of price and replacing the import equipments in the future. As the equipment was developed to be Personal for the simple ways of installing and utilizing, it can be operated without any complex cable installation like other existing GIS Diagnostic system requires, therefore also decrease the cost of cable installation.

• Journal of Korean Society for Quality Management
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• v.51 no.2
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• pp.171-184
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• 2023

Purpose: First, this paper suggests an alternative approach to find optimal portfolio (stocks, bonds and ESG stocks) under the maximizing utility of investors. Second, we include ESG stocks in our optimal portfolio, and compare improvement of welfares in the case with and without ESG stocks in portfolio. Methods: Our main method of analysis follows Brennan et al(2002), designed under the continuous time framework. We assume that the dynamics of stock price follow the Geometric Brownian Motion (GBM) while the short rate have the Vasicek model. For the utility function of investors, we use the Power Utility Function, which commonly used in financial studies. The optimal portfolio and welfares are derived in the partial equilibrium. The parameters are estimated by using Kalman filter and ordinary least square method. Results: During the overall analysis period, the portfolio including ESG, did not show clear welfare improvement. In 2017, it has slightly exceeded this benchmark 1, showing the possibility of improvement, but the ESG stocks we selected have not strongly shown statistically significant welfare improvement results. This paper showed that the factors affecting optimal asset allocation and welfare improvement were different each other. We also found that the proportion of optimal asset allocation was affected by factors such as asset return, volatility, and inverse correlation between stocks and bonds, similar to traditional financial theory. Conclusion: The portfolio with ESG investment did not show significant results in welfare improvement is due to that 1) the KRX ESG Leaders 150 selected in our study is an index based on ESG integrated scores, which are designed to affect stability rather than profitability. And 2) Korea has a short history of ESG investment. During the limited analysis period, the performance of stock-related assets was inferior to bond assets at the time of the interest rate drop.