• Journal of Information Technology Services
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• v.22 no.4
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• pp.81-95
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• 2023

The emergence of Security Token has revolutionized the way assets are traded, bringing efficiency, transparency, and accessibility to the market. However, the Real Estate Security Token market faces challenges, particularly in terms of liquidity. The CMTO(Collateralized Mortgage Token Obligation) model addresses this issue by introducing a novel approach that combines the benefits of NFT(Non-Fungible Token), STO(Security Token Offering), and CMO(Collateralized Mortgage Obligation) techniques to enhance liquidity and promote investment in Real Estate Security Token. The CMTO framework functions by allowing DABS token investors to leverage their tokens as collateral for loans. These token-collateralized loans are pooled together and form the basis for issuing Sequential CMO named CMTO. The CMTO represent a diversified portfolio of token-collateralized loans, providing investors with options based on their financial goals and risk preferences. By implementing CMTO, the Real Estate Security Token market can overcome liquidity challenges, attract a broader range of investors, and unlock the full potential of digital assets in the real estate industry.

• Journal of Information Technology Applications and Management
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• v.29 no.6
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• pp.135-144
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• 2022

In this study, we transformed 4680 type lithium-ion batteries to 3-dimensional CAD models and present a methodology to detect defects using Radon inverse transformation. Transparency was applied to the model to make it look like a CT image when viewed from the front. One normal and three defect models were created and analyzed. The models were saved as image files while rotating at a certain angle. Then, we used the Radon inverse transformation to reconstruct the original 3D geometry from the image files. Finally, we successfully found defects in the defect models for three cases.

• Korean Journal of Clinical Pharmacy
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• v.23 no.2
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• pp.89-96
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• 2013

This article aimed to introduce 'risk sharing' schemes for pharmaceuticals between drug manufacturers and healthcare payer. Published literature review was undertaken to summarize risk sharing concepts and collect information on existing scheme examples in other countries focusing on new anticancer drugs. Risk sharing schemes could be categorized into health outcomes-based and non-outcomes (financial) based ones. Outcome-based schemes could be broken down into performance-linked reimbursement and conditional coverage. Performance-linked reimbursement can be further broken into outcomes guarantee and pattern or process of care and conditional coverage included coverage with evidence development and conditional treatment continuation schemes. Non-outcome based schemes included market share and price volume at population level, and utilization caps and manufacturer funded treatment initiation at patient level. We reviewed the fifteen examples for anticancer drugs that risk sharing agreements in response to the inherent uncertainties and increased costs of eleven anticancer drugs. Of them, eight cases were coverage with evidence development schemes. The anticancer drugs except bevacizumab and cetuximab were all listed on the national health insurance formulary in Korea, with reimbursement criteria defined on the basis of approved indications and administrations. Risk sharing approach may be a useful tool to ensure values for drug expenditure, but there are a number of concerns such as high administration costs, lack of transparency and conflicts of interest, especially for performance-based health outcomes reimbursement schemes.

• International Commerce and Information Review
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• v.12 no.3
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• pp.361-387
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• 2010

China has been the number one target of anti-dumping cases. In the middle of 1990s, China began to make anti-dumping rules to protect its domestic markets. The first anti-dumping regulation was mentioned in 1994 and the anti-dumping and anti-subsidy regulation was published in 1997. In 2001, China entered into the WTO and as a member of WTO, China is obliged to revise its anti-dumping rules in accordance with WTO's requirements. After that China amended anti-dumping rules in 2004 and it is still valid. Even though China makes considerable efforts to make the rules to be consistent with WTO Rules, China is still facing various difficulties such as lack of transparency, absence of definite deadlines, mismatch between rules, lack of clear interest criteria, overly hard questionnaires and inadequacy of judicial review and non-market economy. This paper deals with the current situation of anti-dumping system in China and the scheme of antidumping law and regulations and the main contents of that law and regulations. The purpose of this paper is to contribute to the enhancement of China's anti-dumping rules by studying the problems and solutions of the anti-dumping rules in China.

• Journal of the Korea Society of Computer and Information
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• v.26 no.1
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• pp.11-17
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• 2021

In this paper, we demonstrate a performance boost by parallelizing a purely functional bisimulation algorithm on a multicore processor machine. The key idea of this parallelization is exploiting the referential transparency of purely functional programs to minimize refactoring of the original implementation without any parallel constructs. Both original and parallel implementations are written in Haskell, a purely functional programming language. The change from the original program to the parallel program is minuscule, maintaining almost original structure of the program. Through benchmark, we show that the proposed parallelization doubles the performance of the bisimulation test compared to the original non-parallel implementation. We also shaw that similar performance boost is also possible for a memoized version of the bisimulation implementation.

• Communications for Statistical Applications and Methods
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• v.29 no.2
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• pp.251-261
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• 2022

As AI has a wide range of influence on human social life, issues of transparency and ethics of AI are emerging. In particular, it is widely known that due to the existence of historical bias in data against ethics or regulatory frameworks for fairness, trained AI models based on such biased data could also impose bias or unfairness against a certain sensitive group (e.g., non-white, women). Demographic disparities due to AI, which refer to socially unacceptable bias that an AI model favors certain groups (e.g., white, men) over other groups (e.g., black, women), have been observed frequently in many applications of AI and many studies have been done recently to develop AI algorithms which remove or alleviate such demographic disparities in trained AI models. In this paper, we consider a problem of using the information in the sensitive variable for fair prediction when using the sensitive variable as a part of input variables is prohibitive by laws or regulations to avoid unfairness. As a way of reflecting the information in the sensitive variable to prediction, we consider a two-stage procedure. First, the sensitive variable is fully included in the learning phase to have a prediction model depending on the sensitive variable, and then an imputed sensitive variable is used in the prediction phase. The aim of this paper is to evaluate this procedure by analyzing several benchmark datasets. We illustrate that using an imputed sensitive variable is helpful to improve prediction accuracies without hampering the degree of fairness much.

• Journal of KIISE:Computer Systems and Theory
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• v.37 no.1
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• pp.19-26
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• 2010

In this paper, we adopt Storage Class Memory, which is next-generation non-volatile RAM technology, as part of main memory parallel to DRAM, and exploit the SCM+DRAM main memory system from the dependability perspective. Our system provides instant system on/off without bootstrapping, dynamic selection of process persistence or non-persistence, and fast recovery from power and/or software failure. The advantages of our system are that it does not cause the problems of checkpointing, i.e., heavy overhead and recovery delay. Furthermore, as the system enables full application transparency, our system is easily applicable to real-world environments. As proof of the concept, we implemented a system based on a commodity Linux kernel 2.6.21 operating system. We verify that the persistence enabled processes continue to execute instantly at system off-on without any state and/or data loss. Therefore, we conclude that our system can improve availability and reliability.

• Journal of Information Display
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• v.11 no.1
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• pp.1-7
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• 2010

The intermediate connectors play crucial roles in the performance of tandem organic light-emitting diodes (OLEDs) because they are required to facilitate charge carrier transport and to guarantee transparency for light transmission and deposition compatibility. Understanding the physical properties of the intermediate connector is not only fundamentally important but is also crucial to developing high-efficiency organic devices with a tandem structure. In this study, several effective intermediate connectors in tandem OLEDs using a doped or non-doped organic p-n heterojunction were systematically investigated by studying their interfacial electronic structures and corresponding device characteristics. The working mechanisms of the intermediate connectors are discussed herein by referring to their relevant energy levels with respect to those of the neighboring organic layers. The factors affecting the operation of the intermediate connectors in tandem OLEDs, as demonstrated herein, provide guidance for the identification of new materials and device architectures for high-performance devices.

• Proceedings of the Korean Vacuum Society Conference
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• 2015.08a
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• pp.235.2-235.2
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• 2015

The front transparent conductive oxide (TCO) films must exhibit good transparency, low resistivity and excellent light scattering properties for high efficiency amorphous silicon (a-Si) thin film solar cells. The light trapping phenomenon is limited due to non-uniform and low aspect ratio of the textured glass [1]. We present the low cost electrochemically deposited uniform zinc oxide (ZnO) nanorods with various aspect ratios for a-Si thin film solar cells. Since the major drawback of the electrochemically deposited ZnO nanorods was the high sheet resistance and low transmittance that was overcome by depositing the RF magnetron sputtered AZO films as a seed layer with various thicknesses [2]. The length and diameters of the ZnO nanorods was controlled by varying the deposition conditions. The length of ZnO nanorods were varied from 400 nm to $2{\mu}m$ while diameter was kept higher than 200 nm to obtain different aspect ratios. The uniform ZnO nanorods showed higher haze ratio as compared to the commercially available FTO films. We also observed that the scattering in the longer wavelength region was favored for the high aspect ratio of ZnO nanorods and much higher aspect ratios degraded the light scattering phenomenon. Therefore, we proposed our low cost and uniform ZnO nanorods for the high efficiency of thin film solar cells.

• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.121-125
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• 2022

As the technologies of the 4th industrial revolution develops, spatial information is becoming digitized. Now, even with a smartphone, we can easily identify the location of national & military critical facilities located in the mega cities. As a result, mega cities' national & military critical facilities were exposed to not only traditional threats, but also non-traditional threats such as terrorism, cyber hacking, and criminal activities. This study suggests a way to protect national & military critical facilities of mega cities from such threats. Considering limitation of time & resources, protecting perfectly all national & military critical facilities is impossible, so we should focus on their critical nodes. Specifically, We suggest ways to protect the critical nodes by converging some measures such as design & arrangement in harmony with the surrounding environment, underground construction & covering, and visual deception. Transparency of digital spatial information will further increase with the advent of urban air mobility and autonomous vehicles in the future. Therefore, in order to prepare for future threats, we should take measures to minimize the exposure of critical nodes.