• Journal of Technology Innovation
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• v.21 no.2
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• pp.285-317
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• 2013

This paper delineates dynamic capabilities, which can be measured by internal capability and external knowledge, and also, in the shape of dynamic capabilities, bases on that corporate actions are expatiated by fitness and rent of evolutionary perspective. To achieve the goal of this study, classifying types of Nano-technology enterprise and suggesting analytical pattern based on dynamic capabilities, this thesis substantially analyzes how to categorize a type of enterprise and gauge a result through a survey of 359 domestic companies producing goods concerned with Nano-technology. This paper analyzes whether or not the internal capability and external knowledge affect the outcome of a certain enterprise. Moreover, in according to the results of practical analysis, it deducts 2 new variables by applying principal component analysis on four previous variables showing the internal capability and external knowledge. By classifying four types of enterprises with criterion of these two factors based on a relative extent and comparing each typical financial result, this paper suggests that the companies with relatively higher level of the internal capability and external knowledge surpass the lower ones at the financial outcome. Not only this, but also the technology-level analysis shows the same result, the higher capability and knowledge the higher performance. However, the analysis based on the difference of the four types of financial outcomes reveals that technological and evolutionary fitness can determine financial achievement.

• Imaging Science in Dentistry
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• v.50 no.3
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• pp.237-243
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• 2020

Purpose: The aim of this study was to evaluate the clinical efficacy of a Tanner-Whitehouse 3 (TW3)-based fully automated bone age assessment system on hand-wrist radiographs of Korean children and adolescents. Materials and Methods: Hand-wrist radiographs of 80 subjects (40 boys and 40 girls, 7-15 years of age) were collected. The clinical efficacy was evaluated by comparing the bone ages that were determined using the system with those from the reference standard produced by 2 oral and maxillofacial radiologists. Comparisons were conducted using the paired t-test and simple regression analysis. Results: The bone ages estimated with this bone age assessment system were not significantly different from those obtained with the reference standard (P>0.05) and satisfied the equivalence criterion of 0.6 years within the 95% confidence interval (-0.07 to 0.22), demonstrating excellent performance of the system. Similarly, in the comparisons of gender subgroups, no significant difference in bone age between the values produced by the system and the reference standard was observed (P>0.05 for both boys and girls). The determination coefficients obtained via regression analysis were 0.962, 0.945, and 0.952 for boys, girls, and overall, respectively (P=0.000); hence, the radiologist-determined bone ages and the system-determined bone ages were strongly correlated. Conclusion: This TW3-based system can be effectively used for bone age assessment based on hand-wrist radiographs of Korean children and adolescents.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.229-239
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• 2016

The aim of this paper is to extend the TOPSIS(Technique for Order Performance by Similarity to Ideal Solution) to the fuzzy environment for solving the new professor selection problem in a university. In order to achieve the goal, the rating of each candidate and the weight of each criterion are described by linguistic terms which can be expressed in trapezoidal fuzzy numbers. In this paper, a vertex method is proposed to calculate the distance between two trapezoidal fuzzy numbers. According to the concept of the TOPSIS, a closeness coefficient is defined to determine the ranking order of all candidates. This research derived; 1) 4 evaluation criteria(research results, education and research competency, personality, major suitability) for new professor selection, 2) the 5 step procedure of the proposed fuzzy TOPSIS method for the group decision, 3) priorities of 4 candidates in the new professor selection case. The results of this paper will be useful to practical expert who is interested in analyzing fuzzy data and its multi-criteria decision-making tool for personal selection problem in personal management. Finally, the theoretical and practical implications of the findings were discussed and the directions for future research were suggested.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.12
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• pp.2783-2790
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• 2010

In this paper, we first review LDPC codes in general and a belief propagation algorithm that works in logarithm domain. LDPC codes, which is chosen 802.11n for wireless local access network(WLAN) standard, require a large number of computation due to large size of coded block and iteration. Therefore, we presented three kinds of low computational algorithms for LDPC codes. First, sequential decoding with partial group is proposed. It has the same H/W complexity, and fewer number of iterations are required with the same performance in comparison with conventional decoder algorithm. Secondly, we have apply early stop algorithm. This method reduces number of unnecessary iterations. Third, early detection method for reducing the computational complexity is proposed. Using a confidence criterion, some bit nodes and check node edges are detected early on during decoding. Through the simulation, we knew that the iteration number are reduced by half using subset algorithm and early stop algorithm is reduced more than one iteration and computational complexity of early detected method is about 30% offs in case of check node update, 94% offs in case of check node update compared to conventional scheme. The LDPC decoder have been implemented in Xilinx System Generator and targeted to a Xilinx Virtx5-xc5vlx155t FPGA. When three algorithms are used, amount of device is about 45% off and the decoding speed is about two times faster than convectional scheme.

• Phonetics and Speech Sciences
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• v.2 no.4
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• pp.245-252
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• 2010

Korea does not have a certain criteria on the respiratory ability and phonation of the normal aged, and also has no clear standard to examine the boundaries of geriatric diseases. This study analyzed the characteristics in respiration and phonation of the aged in normal healthy elderly from diverse angles with different variables. Thirty-three participants in total, seven males and eight females in the age group 55-64 participated in the study. Seven males and eleven females in the age group 65-74 were selected for the respiration and phonation experiments, and 10 different variables such as FVC, $FEV_1$, $FEV_1$/FVC, MPT, MFR, Psub, f0, jitter, shimmer and NHR were comparatively analyzed for each group of different age and gender. To see the difference in respiration and phonation by age and gender, the study conducted a two-way ANOVA. First, from the result of the analysis on respiratory ability, FVC of male appeared to be significantly greater than female. In both age groups of 55-64 and 65-74, male displayed greater FVC than female did. Second, as for $FEV_1$, $FEV_1$/FVC, the age group of 55-64 showed greater values than the values measured in the age group of 65-74. Third, MFR showed a significant difference by gender. In both age groups, male showed significantly higher MFR than female. Fourth, for different gender, a significant difference in MFR was observed. In both age groups of 55-64 and 65-74, male exhibited higher MFR than female. This study has a clinical implication in that it analyzed the criteria on respiration and phonation in normal healthy elderly according to gender and age. The normal aged showed a difference in their respiratory and phonatory functions by age and gender, it was closely related to the decline of pulmonary function due to the physical aging and the weak respiration coming from weakness of respiratory muscles. Also, the physical differences in height, weight, and the muscles in laryngeal and respiratory system between males and females had an influence on the performance. These results from this study might be a helpful guideline for the clinical criterion in the future.

• Korean Journal of Food Science and Technology
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• v.21 no.5
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• pp.676-685
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• 1989

Optimal operating conditions of on-farm red pepper dryer were searched by using the simulation-optimization algorithm combining the drying and quality deterioration models of red pepper with Box's complex method. Determination of control variables such as air temperature, air recycle ratio and air flow rate was based on a criterion of minimizing energy consumption under the constrainst conditions that satisfied the specified color retention of carotenoids. As quality constraint was stricter, energy consumption increased and total drying time decreased with lower recycle ratio and higher air flow rate Product mixing during drying was found to be able to improve the energy efficiency and product quality. Currently used air flow rate was assessed to be increased for the optimal operation. Two stage drying at the fixed optimal air flow rate was proven to be useful means for further saying of energy consumption. In the optimal bistaged drying, the second stage began at about one third of the total drying time and low air temperature in the first stage Increased to a high value and air recycle ratio increased slightly in the second stage. Optimal control variable scheme could be explained by the dryer performance and the carotenoids destruction kinetics in red pepper drying.

• Journal of the Korea Institute of Building Construction
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• v.15 no.4
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• pp.425-431
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• 2015

Since the construction of Kori 1 was completed in 1978, the construction projects for nuclear power plant are increasingly expanded into domestic and foreign sites. However, some of construction sites of nuclear power plant have the problems of process delay and cost loss due to lack of ability of risk management. The construction of reactor containment building in nuclear power plant is especially dotted with many risk factors because it needs professional skills and large-scale resources due to long duration compared with different construction phase. Therefore, it needs the study that analyzes risk factors expected in construction of reactor containment building and suggests way of stable performance of projects. So, this study assesses risk factors of construction of reactor containment building. For the objectives, this study uses survey for group of minority specialists of 36 experts. The risks of 24 factors is classified by criterions of process, cost, safety, and quality and the results of assessment is analyzed by analytic hierarchy process. As the results, the importance and priority of risk factors classified by each criterion were calculated and the applicability of analytic hierarchy process was identified to analyze risk factors of nuclear power plant construction. These will be baseline data for risk management in construction phase of reactor containment building.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.5
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• pp.897-909
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• 2014

With the development of the Internet, the number of cyber threats is continuously increasing and their techniques are also evolving for the purpose of attacking our crucial systems. Since attackers are able to easily make exploit codes, i.e., malware, using dedicated generation tools, the number of malware is rapidly increasing. However, it is not easy to analyze all of malware due to an extremely large number of malware. Because of this, many researchers have proposed the malware classification methods that aim to identify unforeseen malware from the well-known malware. The existing malware classification methods used malicious information obtained from the static and the dynamic malware analysis as the criterion of calculating the similarity between malwares. Also, most of them used API functions and their sequences that are divided into a certain length. Thus, the accuracy of the malware classification heavily depends on the length of divided API sequences. In this paper, we propose an extraction method of optimized API sequence length and combination that can be used for improving the performance of the malware classification.

• Journal of the Korea institute for structural maintenance and inspection
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• v.15 no.6
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• pp.195-200
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• 2011

KS F 2782 (for shotcrete accelerators) standard cross-section of tunnel construction or repair is a reinforcement used in the field of shotcrete accelerators as a criterion in assessing shotcrete performance. Thus, KS F 2782 by standard accelerator will determine the nature of the product of concrete accelerators that will be used to record variations in the product roles, through determination of the quality of the experimental method to identify only the quality of the many variables that exist. This evaluation standard has so far distinguished accelerator products in indoor experiments that do not meet quality standards but were mostly for an on-site accelerator mixed with the shotcrete after being quite satisfied with the level of quality in a certain number of products. This observation is derived from the results of an indoor experiment considered to verify whether the site is suitable for indoor experiments, and whether its actual location in the city is relevant to the accelerator quality, to find a way to test if it fits. This study centers on the material conditions of the shotcrete accelerator and a variety of experimental results, and used the Gilmore needle to compare the compressive strength and KS F 2782 specification of the accelerator as a means to ensure product quality conformity analysis and for further research experiments. In conclusion, a portion of KS F 2782 standard that fixes the problems that can be resolved from the ground up as a whole is not a review for the domestic reality. As an indoor experiment to ensure uniformity in the field when applied in a sufficient correlation, complement must be in place.

• Journal of KIISE
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• v.43 no.1
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• pp.106-118
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• 2016

Recently, as the generation and sharing of web data have increased, the importance of a social semantic web that combines the semantic web and the social web has also been increasing. In this paper, we propose a trust evaluation scheme based on provenance by extending the PROV model in the social semantic web environment. The proposed scheme manages the provenance of web data and adds the necessary elements for trust evaluation in the PROV model of W3C. The extended PROV model supports data management and provenance tracing. The proposed trust evaluation scheme considers various parameters such as user trust, original data trust, and user evaluation. The evaluated trust is managed as provenance. When processing a query, the proposed scheme generates a result by considering the trust. Therefore, the proposed scheme can manage the provenance of web data and compute data trust correctly by using such various parameters. The evaluated trust becomes a criterion to determine whether the query result can be trusted or not. In order to show the validity of the proposed scheme, we verify its performance using SPARQL queries.