• International Journal of Computer Science & Network Security
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• v.22 no.3
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• pp.89-94
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• 2022

The Saudi Vision 2030 defined the directions of the national economy and market towards diversifying sources of income, and developing energy to become less dependent on oil. The study sought through a theoretical review to identify the reality of the energy sector and the areas of investment available in the field of renewable energy. Findings showed that investment in the renewable energy sector is a promising source according to solar, wind, hydrogen, geothermal energy and burning waste than landfill to extract biogas for less emission. The renewable energy sector faces challenges related to technology, production cost, price, quantity of production and consumption, and markets. The study revealed some recommendations providing and suggested electronic marketing system to provide investors and consumers with energy available from renewable sources.

• International Journal of Computer Science & Network Security
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• v.23 no.2
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• pp.210-226
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• 2023

It is difficult to transform a blockchain initiative from the feasibility stage to the fully commercialized the technology's products or services, especially considering the significant investment required and the lack of studies on the benefits and barriers from deployment perspective. Whereas some organizations have come up with their own solutions to moving beyond the feasibility stage, commercial applications do not yet exist and few organizations are willing to invest beyond the prototype phase and fill in the gap between the expected and actual business value of these types of projects. This study aims to develop a blockchain model using a survey to gather qualitative data on experts' opinions on the deployment of blockchain technology. Our model will measure how business professionals could take advantage of blockchain's disruptive technology to develop business opportunities. This study's contribution is to show blockchain technology's potential strategic business value. The findings from this exploration include the prospective for delivering comprehensions to businesses for different creating investment choices on the embracing of the blockchain technology.

• Korea Trade Review
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• v.46 no.2
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• pp.281-299
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• 2021

This paper analyzes the feasibility of using machine learning methods to forecast the employment. The machine learning methods, such as decision tree, artificial neural network, and ensemble models such as random forest and gradient boosting regression tree were used to forecast the employment in Busan regional economy. The following were the main findings of the comparison of their predictive abilities. First, the forecasting power of machine learning methods can predict the employment well. Second, the forecasting values for the employment by decision tree models appeared somewhat differently according to the depth of decision trees. Third, the predictive power of artificial neural network model, however, does not show the high predictive power. Fourth, the ensemble models such as random forest and gradient boosting regression tree model show the higher predictive power. Thus, since the machine learning method can accurately predict the employment, we need to improve the accuracy of forecasting employment with the use of machine learning methods.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.10a
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• pp.29-32
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• 2000

We proposed a neural network based “left shoulder”detector. The auto-associative neural network was trained with the “left shoulder”patterns obtained from the Korea Composite Stock Price Index, and then tested out-of-sample with a reasonably good result. A hypothetical investment strategy based on the detector achieved a return of 132% in comparison with 39% return from a buy and hold strategy

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.1066-1070
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• 2002

We propose a neural network based up-trend detector. An auto-associative neural network was trained with 'up-trend' data obtained from the KOSPI 200 future price. It was then used to predict an up-trend Simple investment strategies based on the detector achieved a two year return of $19.8\%$ with no leverage.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.7
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• pp.1405-1414
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• 2011

This paper analyzes the impact of the change in telecommunication regulation on network investment such as the integration of telecommunication service. The integration of telecommunication service plays a role of separating the behavior regulation from entrance regulation and reducing a entrance constraints. Therefore, it is expected that the market spill over effect is high through the improvement of behavior regulation such as interconnection regulation, facilities provisions, retail price regulation, bundling, number portability of VoIP. This paper discusses the critical factor affecting the decision making process in respect of the firm level and analyzes the impact path guiding investment and innovation. Finally, the paper proposes the guideline for telecommunications policy.

• Journal of Satellite, Information and Communications
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• v.7 no.2
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• pp.42-46
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• 2012

This paper analyses technical and economical conditions which activate the use of mobile communication spectrum not to limit the growth of mobile broadband service because of mobile big data traffic and proposes the method which activate the use of mobile communication spectrum. To activate new mobile communication spectrum the expenditure and income of investment should be balanced. The activation of new mobile communication spectrum to process mobile big data traffic depends on technical and economical conditions, internal and external factors of service provider. The investment expenditure is relate to CAPEX, OPEX which is internal factors of service provider and to spectrum price which is external factor of service. The investment income is relate to tariff system which is internal factors of service provider and to spectrum neutrality which is external factor of service provider. The activation of new mobile communication spectrum can be implemented when the investment expenditure and investment income meet the balance including the spectrum price in the investment expenditure and the tariff system which is able to extend network and the income based on traffic increase by external contents in the investment income.

• Land and Housing Review
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• v.2 no.2
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• pp.171-182
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• 2011

Current state of population, the existing roads, and the function of roads and highways of North Korea have been reviewed in this paper. In addition, the 'Five by five' road network has proposed for North-South and East-West directions to be connected with the road network of South Korea, China, and Asian Highways. Furthermore, the evaluation criteria and weighted values have suggested to determine the investment priority of highway based on the survey results from expert group members using AHP analysis method. Throughout the analysis, the ranking of the investment priority has been decided for the North-South axis and East-West axis. The second North-South axis (Geasung-Pyungyang-Anju-China) has been ranked as the first priority for the North-South axis followed by the fifth North-South axis as the second, the first axis as the third, the third axis as the fourth and the fourth axis as the last priority. For the East-West axis, the second East-West axis(Nampo-Pyungyang-Wonsan) has been ranked as the first priority followed by the first axis as the second, the third axis as the third, the fourth axis as the fourth and the fifth East-West axis as the last priority.

• International Journal of Computer Science & Network Security
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• v.23 no.11
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• pp.128-132
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• 2023

Investment authorities are broad financial institutions that carefully manage investments on behalf of the national government using a long-term value development approach. To provide a stronger structure or framework for In-vestment Authorities to govern the distribution of funds to public and private markets, we've started research to create a blockchain-based prototype for managing and tracking numerous finances of such authorities. We have taken the case study of Oman Investment Authority (OIA) of Sultanate of Oman. Oman's wealth is held in OIA. It is an organization that oversees and utilizes the additional capital generated by oil and gas profits in public and private markets. Unlike other Omani funds, this one focus primarily on assets outside the Sultanate. The operation of the OIA entails a huge number of transactions, necessitating a high level of transparency and administration among the parties involved. Currently, OIA relies on various manuals to achieve its goals, such as the Authorities and Responsibilities manual, the In-vestment Manual, and the Code of Business Conduct, among others. In this paper, we propose a Blockchain based framework to manage the operations of OIA. Blockchain is a part of the Fourth Industrial Revolution, and it is re-shaping every industry. The main components of every blockchain are assets and participants. The funds are the major assets in the proposed study, and the participants are the various fund shareholders/recipients. The block-chain's transactions are all safe, secure, and immutable, and it's part of a trustless network. The transactions are simple to follow and verify. By replacing intermediary firms with smart contracts, blockchain-based solutions eliminate any middlemen in the fund allocation process.

• IE interfaces
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• v.3 no.1
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• pp.1-11
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• 1990

The purpose of this study is to develop the decision support model for the investment in the operation and maintenance in telecommunication networks. First, we analyze the relation between the cost of quality and the quality of service, and then establish and analysis tool of the investment alternatives for the improvement of the quality of service. This study will offer a decision tool to enhance an efficiency of the operation and maintenance for telecommunication facilities, and will contribute to shaping a policy of network performance management.