• Culinary science and hospitality research
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• v.23 no.4
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• pp.163-174
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• 2017

This study aimed to make stock for purpose of reducing visual image, and the stock was used with two-spotted cricket as general food material of edible insects. According to the results, color value was darkest and brownest with increased boiling time, salinity and $^{\circ}Brix$ increased significantly (p<0.001). With increased boiling time, pH and moisture content was the lowest. In the total content of free amino acids was highest in 45 min with boiling time. The quantitative descriptive analysis of two-spotted cricket stock was evaluated, which was the strongest with increased boiling time, and acceptance test was best results in TCS45. Therefore, it was possible to produce stock with excellent sensuality which was used by high-pressure method for 45 in making a two-spotted cricket stock. It was judged that making insects food can reduce visual aversion as stock. So, the possibility of food ingredient was identified so that two-spotted cricket led to the increase of domestic interests.

• The Journal of Information Technology
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• v.8 no.3
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• pp.57-71
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• 2005

This thesis is to explore the relaxation of restrictions at the acquisition of own stock, and to get the results from this system many countries' legislations were alluded as model cases for Korean system. In comparing with America, Japan, Europe(EC 2nd Commercial Law), and England, the final suggestion for Korean companies law as follows: The solution of problems which is derived from the acquisition at own stock in enterprise is to make the optimum situation for the economic development and stability of stock market. So, to solve these problems needs the relaxation of restrictions for this system and by the relaxation of restrictions can get the distribution of its profit to stockholder, and the compensation for employers and employees. Furthermore, through this system the company can achieve the protection against M&A and the supply of company funds. In conclusion the relaxation of restrictions at the acquisition of own stock is acknowledged the necessity, but the problems that would be followed must be necessarily minimized, and to do so, the legal system has to be molded for this purpose and the its procedure(that is, accounting deal of own stock, the fictitious dividend, and non-appliance of tendency control) has to be prior to the legal system.

• Journal of the Korea Convergence Society
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• v.12 no.7
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• pp.31-36
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• 2021

As the global economy stagnated due to the Corona 19 virus from Wuhan, China, most countries, including the US Federal Reserve System, introduced policies to boost the economy by increasing the amount of money. Most of the stock investors tend to invest only by listening to the recommendations of famous YouTubers or acquaintances without analyzing the financial statements of the company, so there is a high possibility of the loss of stock investments. Therefore, in this research, I have used artificial intelligence deep learning techniques developed under the existing automatic trading conditions to analyze and predict macro-indicators that affect stock prices, giving weights on individual stock price predictions through correlations that affect stock prices. In addition, since stock prices react sensitively to real-time stock market news, a more accurate stock price prediction is made by reflecting the weight to the stock price predicted by artificial intelligence through stock market news text mining, providing stock investors with the basis for deciding to make a proper stock investment.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.689-698
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• 2020

The aim of this article is to determine the influence of factors on the capital structure of construction companies listed on the Hanoi Stock Exchange. The data of the article were collected and calculated from the financial statements of 54 construction companies listed on Hanoi Stock Exchange from 2012 to 2019. With the application of E-view software in quantitative analysis to build panel data regression model (panel data), the article has built a regression model to determine the relationship of intrinsic factors affecting the capital structure of construction companies listed on Hanoi Stock Exchange. In the study, dependent variable is capital structure, determined by the debt-to-equity ratio. Profitability, coefficient of solvency, size, loan interest rate, structure of tangible assets, and growth are independent variables. The results showed that the two factors of growth and firm size positively affect the capital structure, the profitability factor has the opposite effect on capital structure. Factors of short-term debt solvency, average loan interest rate and tangible asset structure have no correlation with capital structure. The findings of this article are useful for business administrators, helping business managers make the right financial decisions to make capital structure decisions in their own conditions.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.10a
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• pp.337-346
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• 1999

In this paper, we propose the rough set approach to extract trading rules able to discriminate between bullish and bearish markets in stock market. The rough set approach is very valuable to extract trading rules. First, it does not make any assumption about the distribution of the data. Second, it not only handles noise well, but also eliminates irrelevant factors. In addition, the rough set approach appropriate for detecting stock market timing because this approach does not generate the signal for trade when the pattern of market is uncertain. The experimental results are encouraging and prove the usefulness of the rough set approach for stock market analysis with respect to profitability.

• Management Science and Financial Engineering
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• v.15 no.2
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• pp.101-118
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• 2009

In quantitative contexts, data mining is widely applied to the prediction of stock prices from financial time-series. However, few studies have examined the potential of data mining for shedding light on the qualitative problem-solving knowledge of experts who make stock price predictions. This paper presents a GA-based data mining approach to characterizing the qualitative knowledge of such experts, based on their observed predictions. This study is the first of its kind in the GA literature. The results indicate that this approach generates rules with higher accuracy and greater coverage than inductive learning methods or neural networks. They also indicate considerable agreement between the GA method and expert problem-solving approaches. Therefore, the proposed method offers a suitable tool for eliciting and representing expert decision rules, and thus constitutes an effective means of predicting the stock price index.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.807-814
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• 2021

As economic activities decrease, and the stock market decline due to COVID-19, many people are jumping into stock investment as an alternative source of income. As people's interest increases, many stock price analysis studies are underway to earn more profits. Due to the variance observed in the stock markets, it is necessary to analyze each stock independently and consistently. To solve this problem, we designed and implemented models and services that analyze stock prices using a reinforcement learning technique called Asynchronous Advantage Actor-Critic(A3C). Stock market data reflected external factors such as government bonds and KOSPI (Korea Composite Stock Price Index) as well as stock prices. Our proposed work provides a web service with a visual representation of predictions of stocks and stock information through which directions are given to investors to make safe investments without analyzing domestic and foreign stock market trends.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.34 no.2
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• pp.76-84
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• 2011

To meet the needs of customer, manufacturing companies are diversifying product making methods. In order to adapt to changes, companies are trying to find a new manufacturing system. In this research, MTS (Make to Stock) and MTO (Make to Order) production methods are simulated using ARENA and the results are compared and analyzed to find a better system. As a result, by combining the advantages of MTS and MTO system, a hybrid production system is developed. The hybrid model is analyzed to verify that it is better than the existing two models, which is MTS and MTO model. The statistic results of output analyzer show that a new system helped to increase production rate and decrease work in process inventory. The hybrid model proved that it contains the merits of MTO production method and MTS production method.

• Journal of Korean Institute of Industrial Engineers
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• v.3 no.1
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• pp.55-59
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• 1977

This paper develops a portfolio management game applicable to Korean Stock Market with an emphasis on teaching and training aid. It allows each participant to start out with a certain amount of money and pick his favorable stocks from a list of stocks chosen by instructor. Each participant must make a transaction at each time period and he gets a readout that states his individual performance, i.e., stock lists, cash on hand, net worth, transactions he has made and rank in accordance with his net worth. This game package consists of 10 subprograms and 7 files written with Fortran language for use on the Nova 840 computer and is divided into 3 main categories according to their functions, i.e., book-keeping function, data processing function and information searching function. This package may be used for training portfolio decison makings in the stock market and for comparing various investment methods through hypothetical investments.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.9 no.3
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• pp.123-129
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• 2000

To make high accuracy cutting of long materials and a piston for the engines it must be necessary to keep the thermal stability of spindle and tail stock in CNC lathe. If a object is clamped at the ends the thermal expansion and cutting process generate the deflection of cutting objects. Especially in the case of a piston ring piston ovality and piston profile the influences of deflection are very serious. In order to solve the problems most of piston cutting are worked under simply support. However the prob-lems exist yet. Therefore this paper proposes the new structure of tail stock which can compensates the deflection.