• Journal of Korean Home Economics Education Association
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• v.17 no.1 s.35
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• pp.55-68
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• 2005

The purpose of this study was to compare the content of 'Management of Resource and Environment' area in middle school Home Economics textbook with other middle school subject textbooks. The middle school textbooks of Korean. Mathematics. Social Science. Science. Ethics. Technology. Arts. Music, and Physical Education were analyzed how the contents of these textbooks were similar to or different from those of 'Management of Resource and Environment' area in Home Economics textbooks. The contents of 8 subject textbooks except Music were related with those of 'Management of Resource and Environment' area in Home Economics textbooks. The content of Social Science was the most similar to 'Management of Resource and Environment' area in Home Economics textbooks although perspectives and focus were somewhat different. The unit of Home Economics textbook most related with contents of other subject textbooks was' Our Consumption Lives'. while 'Management of Time and Work for Adolescence' is the unit of Home Economics textbook least related with contents of other subject textbooks. However. similar contents were dealt with different focus and depth in textbooks according to objectives and characteristics of subject.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.20 no.2
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• pp.163-174
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• 2016

In this paper, we propose an optimal choice scheme to determine the best option among comparable options whose current expectations are all the same under the condition that an investor has a confidence in the future value realization of underlying assets. For this purpose, we use a path-averaged option as our base instrument in which we calculate the time discounted value along the path and divide it by the number of time steps for a given expected path. First, we consider three European call options such as vanilla, cash-or-nothing, and asset-or-nothing as our comparable set of choice schemes. Next, we perform the experiments using historical data to prove the usefulness of our proposed scheme. The test suggests that the path-averaged option value is a good guideline to choose an optimal option.

• Journal of the Korean Mathematical Society
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• v.51 no.5
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• pp.1075-1088
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• 2014

We consider random fractal sets with random recursive constructions in which the contracting vectors have different distributions at different stages. We prove that the random fractal associated with such construction has a constant packing dimension almost surely and give an explicit formula to determine it.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.406-412
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• 2022

Storing large amounts of data has always been a big problem from the beginning of computing history. Big Data has made huge advancements in improving business processes by finding the customers' needs using prediction models based on web and social media search. The main purpose of big data stream processing frameworks is to allow programmers to directly query the continuous stream without dealing with the lower-level mechanisms. In other words, programmers write the code to process streams using these runtime libraries (also called Stream Processing Engines). This is achieved by taking large volumes of data and analyzing them using Big Data frameworks. Streaming platforms are an emerging technology that deals with continuous streams of data. There are several streaming platforms of Big Data freely available on the Internet. However, selecting the most appropriate one is not easy for programmers. In this paper, we present a detailed description of two of the state-of-the-art and most popular streaming frameworks: Apache Ignite and Hazelcast. In addition, the performance of these frameworks is compared using selected attributes. Different types of databases are used in common to store the data. To process the data in real-time continuously, data streaming technologies are developed. With the development of today's large-scale distributed applications handling tons of data, these databases are not viable. Consequently, Big Data is introduced to store, process, and analyze data at a fast speed and also to deal with big users and data growth day by day.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.9
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• pp.273-285
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• 2021

This study estimates the financial value of return on investment (ROI) of research funds. Four simulation estimations are employed to measure ROI finance value that considers the outputs, outcomes, impacts and total ROI from the allocation input received. Research outputs, outcomes, and impacts can be quantitatively measured based on improvements to existing systems. In terms of input, the Malaysian government has allocated MYR301,350,000 for fundamental research in the 2021 budget compared with 2019, up 9.5 percent from 2019. It brings up the question: To what extent does the input of research funds allocated by the government yield a good return in outputs, outcomes, and impacts to the academic community, society, and country? The result of total ROI shows around MYR7 return is generated by researchers for each Malaysian ringgit channeled by the funder. More specifically, for a research project, it is more difficult to produce impacts and outcomes compared to research outputs. The positive return is evidence that all the allocated funds are beneficial to the stakeholders. The government can apply this approach in calculating ROI for evaluation and fund allocation to universities. Furthermore, the positive financial value of research output, outcome, and impact automatically contribute to a positive innovation environment in Malaysia.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.185-195
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• 2020

The study investigates the impact of globalization on coal consumption in Vietnam. This study employs an autoregressed distributed lag approach on time series data for the period of 1990 to 2017. The study tests the stationary, cointegration of time series data and utilizes autoregressed distributed lag modeling technique to determine the short-run and long-run relationship among coal consumption, globalization, income, population, and CO₂ emissions. The results show that globalization increases coal consumption in Vietnam in the long run. The results also show that rapid economic growth promotes more coal consumption in the short run as well as in the long run. Moreover, higher population reduces coal consumption, and CO₂ emissions decrease coal consumption both in the short run and the long run. The findings of the study suggest that globalization increases coal consumption in Vietnam in the long run. This result suggests that the increase in globalization level in Vietnam increases coal consumption. An interesting finding is that higher population reduces coal consumption, and population is an important factor towards the lessening in coal consumption. The findings confirm that environmental pollution decreases coal consumption in the short run and the long run. This implies that coal consumption may be green consumption in Vietnam.

• East Asian mathematical journal
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• v.36 no.1
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• pp.91-99
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• 2020

This paper obtains an explicit expression for a debtor's consumption, porfolio and time for filing for bankruptcy when the debtor is subject to upper bound on consumption rate. The utility of consumption is CRRA type and the dynamic programming principle is applied.

• Nonlinear Functional Analysis and Applications
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• v.27 no.4
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• pp.773-784
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• 2022

The purpose of the present paper is to estimate some real parts for certain analytic functions with some applications in connection with certain integral operators and geometric properties. Also we extend some known results as special cases of main results presented here.

• Journal of Welding and Joining
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• v.30 no.5
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• pp.9-12
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• 2012

• Journal of Welding and Joining
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• v.30 no.5
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• pp.4-8
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• 2012