• Journal of Advanced Marine Engineering and Technology
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• 제32권1호
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• pp.50-56
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• 2008

Experimental results for forced convection condensation of Refrigerant-22 and ternary Refrigerant-407C(HFC-32/125/134a 23/25/52 wt%) which is being considered as a substitute R-22 inside a horizontal micro-fin tube are presented. The test section was horizontal double-tube counterflow condenser with a length 4,000 mm micro-fin tube, having 8.53 mm ID, 0.2 mm fin height and 60 fins. The range of parameters of mass velocity were varied from 102.1 to 301.0 kg/(m2.s) and inlet quality 1.0. At the given experimental conditions. the average heat transfer coefficients for R-407C were lower than that for R-22 at a micro-fin tube. Over the mass velocity range tested. the PF(penalty factor) for R-22, R-407C were lower than the increasing ratio of heat transfer area by fins, and the EF(enhancement factor) for R-22, R-407C were higher than the increasing ratio of heat transfer area by fins.

• BMB Reports
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• 제38권4호
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• pp.486-490
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• 2005

Genetic factors are important in the pathogenesis of coronary artery disease (CAD). Angiotensin converting enzyme (ACE) gene insertion(I)/deletion(D) polymorphism is one of the genetic factor found to be related with CAD. We investigated the association between I/D polymorphism of the ACE gene and the presence of CAD. Threehundred and seven patients (187 males and 120 females, aged between 35-80, mean $54.3{\pm}9.8$ years) who underwent diagnostic coronary angiography were included in the study. ACE I/D polymorphism was detected by polymerase chain reaction. Of the 307, 176 had CAD. The most frequently observed genotype in all subjects was ID (47.9 %). However, in patients with CAD the frequency of II genotype was lower whereas DD genotype was higher compared to the controls (p < 0.05). The number of D allele carrying subjects were also higher (p < 0.05) in CAD patients. The logistic regression analysis indicated that the ACE D allele is an independent risk factor (odds ratio = 1.48, 95% CI = 1.01-2.18, p < 0.05). In conclusion, the I/D polymorphism of ACE gene (carrying D allele) is an independent risk factor for CAD in the studied Turkish population.

• Journal of Korea Society of Industrial Information Systems
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• 제17권6호
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• pp.25-30
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• 2012

Passwords are a common method of identifying and authenticating a user who wishes to log on to a secure system. Password-based authentication techniques, however, do not provide strong security and recognized as being an poor form of protection. It is not all the responsibility of the user to control password and to protect its confidentiality. In this paper, confirm an appropriate response time and I propose a new and improved method of implementing two factor authentication using SMS via receiving apparatus(mobile and email).

• Journal of the Korea Academia-Industrial cooperation Society
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• 제10권12호
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• pp.3708-3714
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• 2009

Recently, most of information services are provided by the computer network, since the technology of computer communication is developing rapidly, and the worth of information over the network is also increasing with expensive cost. But various attacks to quietly intercept the informations is invoked with the technology of communication developed, and then most of the financial agency currently have used OTP, which is generated by a token at a number whenever a user authenticates to a server, rather than general static password for some services. A 2-factor OTP generating method using the OTP token is mostly used by the financial agency. However, the method is vulnerable to real attacks and therefore the OTP token could be robbed and disappeared. In this paper, we propose a 3-factor OTP way using HMAC to conquer the problems and analyze the security of the proposed scheme.

• Journal of the Korea Society of Computer and Information
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• 제14권6호
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• pp.27-32
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• 2009

Recently, most of information services are provided by the computer network, since the technology of computer communication is developing rapidly, and the worth of information over the network is also increasing with expensive cost. But various attacks to quietly intercept the informations is invoked with the technology of communication developed, and then most of the financial agency currently have used OTP, which is generated by a token at a number whenever a user authenticates to a server, rather than general static password for some services. A 2-Factor OTP generating method using the OTP token is mostly used by the financial agency. However, the method is vulnerable to real attacks and therefore the OTP token could be robbed and disappeared. In this paper, we propose a 3-Factor OTP way using HMAC to conquer the problems and analyze the security of the proposed scheme.

• Applied Chemistry for Engineering
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• 제21권3호
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• pp.258-264
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• 2010

Most of fluid systems, such as P&ID in ships, power plants, and chemical plants, consist of various components. The components such as bends, tees, sudden-expansions, sudden-contractions, and orifices contribute to overall pressure loss of the system. The local pressure losses across such components are determined using a pressure loss coefficient, k-factor, in lumped parameter models. In many engineering problems Idelchik's k-factor models have been used to estimate them. The present work compares the k-factor based on CFD calculation against Idelchik's model in order to confirm whether a commercial CFD package can be used for pressure loss coefficient estimation of complex geometries. The results show that RSM is the best appropriate for evaluating pressure loss coefficient. Commercial CFD package can be used as a tool evaluating k-factor even though the accuracy is influenced by a turbulence model.

• Journal of the Korean Society of Clothing and Textiles
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• 제30권6호
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• pp.939-947
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• 2006

The purpose of this study was to identify the relationships between vanity and materialism and fashion orientation. This study identified underlying factors of vanity and then grouped respondents into clusters based on the low factors of vanity. This study also examined their materialism and fashion orientation according to clusters. Data were gathered by surveying university students living in Seoul metropolitan area using convenient sampling, and 313 questionnaires were used in the statistical analysis. In analyzing data, factor analysis, cluster analysis, t test, correlation, and one-way ANOVA were conducted. Regarding vanity, low factors, 1) a concern id. physical appearance, 2) a positive view of physical appearance, 3) a concern for achievement, and 4) a positive view of achievement, were identified. Correlation analysis showed all four factors of vanity were significantly related with underlying dimension! of materialism and fashion orientation. Based on the factor scores, three clusters were identified. There were also significant differences in the dimensions of materialism and fashion orientation according to the clusters.

• Journal of the Korea Society of Computer and Information
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• 제24권10호
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• pp.41-48
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• 2019

In 2018, Cui et al proposed a three-factor remote user authentication scheme using biometrics. Cui et al claimed that their authentication scheme is vulnerable to eavesdropping attack, stolen smart card attack, and especially Dos(denial-of-service) attack. Also they claimed that it is safe to password guessing attack, impersonation attack, and anonymity attack. In this paper, however, we analyze Cui et al's authentication scheme and show that it is vulnerable to replay attack, insider attack, stolen smart card attack, and user impersonation attack, etc. In addition, we present the design flaws in Cui et al's authentication scheme as well.

• Journal of the Korean Society for Precision Engineering
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• 제12권8호
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• pp.147-155
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• 1995

Recent experimental studies have been shown that strain gages can be employed to determine either static or dynamic stress intensity factors $K_{I}$ wiht relatively simple experiments. However, it does not usually provide a reliable value of stress intensity factor because of local yielding and limited regions for strain gage placement at the vicinity of the crack tip. This paper attempted to define a valid region and to indicate procedures for locating and orienting the strain gage to determine static toughness $K_{Is}$ accurately form one strain gage readings with respect to varying loadings. The strain gage methods was used for compact tension specimens made of Polycarbonate and PMMA(polymethyl methacrylate). Series expansions of the static and dynamic strain fields are applied. Strain gage orientation and location are then studied to optimize the strain response. Especially, in the dynamic experiment, the specimen employed is an oversized Charpy V-notch specimen which has been modified to provide significant constraint with a large elevation of the flow stress. The impact behavior of the specimen is monitored by placing strain gage near the crack tip. The dynamic toughness $K_{Id}$ is determined from the strain time traces of this gage.e.

• Journal of Intelligence and Information Systems
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• 제29권1호
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• pp.249-263
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• 2023

Collaborative Filtering, a representative recommendation system methodology, consists of two approaches: neighbor methods and latent factor models. Among these, the latent factor model using matrix factorization decomposes the user-item interaction matrix into two lower-dimensional rectangular matrices, predicting the item's rating through the product of these matrices. Due to the factor vectors inferred from rating patterns capturing user and item characteristics, this method is superior in scalability, accuracy, and flexibility compared to neighbor-based methods. However, it has a fundamental drawback: the need to reflect the diversity of preferences of different individuals for items with no ratings. This limitation leads to repetitive and inaccurate recommendations. The Adaptive Deep Latent Factor Model (ADLFM) was developed to address this issue. This model adaptively learns the preferences for each item by using the item description, which provides a detailed summary and explanation of the item. ADLFM takes in item description as input, calculates latent vectors of the user and item, and presents a method that can reflect personal diversity using an attention score. However, due to the requirement of a dataset that includes item descriptions, the domain that can apply ADLFM is limited, resulting in generalization limitations. This study proposes a Generalized Adaptive Deep Latent Factor Recommendation Model, G-ADLFRM, to improve the limitations of ADLFM. Firstly, we use item ID, commonly used in recommendation systems, as input instead of the item description. Additionally, we apply improved deep learning model structures such as Self-Attention, Multi-head Attention, and Multi-Conv1D. We conducted experiments on various datasets with input and model structure changes. The results showed that when only the input was changed, MAE increased slightly compared to ADLFM due to accompanying information loss, resulting in decreased recommendation performance. However, the average learning speed per epoch significantly improved as the amount of information to be processed decreased. When both the input and the model structure were changed, the best-performing Multi-Conv1d structure showed similar performance to ADLFM, sufficiently counteracting the information loss caused by the input change. We conclude that G-ADLFRM is a new, lightweight, and generalizable model that maintains the performance of the existing ADLFM while enabling fast learning and inference.