• Journal of the Korean Chemical Society
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• v.68 no.1
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• pp.15-19
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• 2024

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.7B
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• pp.1091-1097
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• 2010

Energy and environment problem has been arisen and become one of the major concerns all over the world, due to scarce energy resources and inefficient energy consumption. Recently, energy-IT(EIT) convergence technology has been getting more attention, being expected to be one of key technologies to resolve the problem, and R&D projects on various areas of EIT convergence technologies have been launched in many countries on a large scale. Korea government and companies have also been interested in the development of EIT technologies, however, the scopes of technology areas are limited to just a small part such as smart grid technology. This paper investigates effectiveness of each EIT convergence technology and deduces EIT convergence technologies using AHP(Analytic Hierarchy Process). It is expected that our research could be meaningful information supporting policies on R&D projects of EIT convergence technologies promoted to save energy and strengthen the national competitiveness. Our research results show that the EIT convergence technology area of green building would be the most effective EIT convergence technology except smart grid, and network-based energy management system would be the most effective amongst the sub-areas of green building.

• Journal of Advanced Navigation Technology
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• v.17 no.6
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• pp.777-784
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• 2013

Synthesis process from the data produced by different types of sensor into a single information is being studied and used in a variety of platforms in terms of multi-sensor data fusion. Heterogeneous sensors has been integrated into various aircraft and modern avionic systems manage them. As the performance of sensors in aircraft is getting higher, the integration of sensor information is required from the viewpoint of avionics gradually. Information fusion is not studied widely in the view of software that provide a pilot with fused information from data produced by the sensor in the form of symbology on a display device. The purpose of information fusion is to assist pilots to make a decision in order to perform mission by providing the correct combat situation from avionics of the aircraft and to minimize their workload consequently. In the aircraft avionics equipped with different types of sensors, the software architecture that produce a comprehensive information using the sensor data through multi-sensor data fusion process to the user is shown in this paper.

• Korean Journal of Remote Sensing
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• v.19 no.4
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• pp.329-339
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• 2003

In this study, an approach of image fusion in decision level has been proposed for unsupervised image classification using the images acquired from multiple sensors with different characteristics. The proposed method applies separately for each sensor the unsupervised image classification scheme based on spatial region growing segmentation, which makes use of hierarchical clustering, and computes iteratively the maximum likelihood estimates of fuzzy class vectors for the segmented regions by EM(expected maximization) algorithm. The fuzzy class vector is considered as an indicator vector whose elements represent the probabilities that the region belongs to the classes existed. Then, it combines the classification results of each sensor using the fuzzy class vectors. This approach does not require such a high precision in spatial coregistration between the images of different sensors as the image fusion scheme of pixel level does. In this study, the proposed method has been applied to multispectral SPOT and AIRSAR data observed over north-eastern area of Jeollabuk-do, and the experimental results show that it provides more correct information for the classification than the scheme using an augmented vector technique, which is the most conventional approach of image fusion in pixel level.

• Korean Journal of Remote Sensing
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• v.26 no.5
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• pp.581-591
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• 2010

In this paper, we proposed a new wavelet-based image fusion algorithm, which has advantages in both frequency and spatial domains for signal analysis. The developed algorithm compares the ratio of SAR image signal to optical image signal and assigns the SAR image signal to the fused image if the ratio is larger than a predefined threshold value. If the ratio is smaller than the threshold value, the fused image signal is determined by a weighted sum of optical and SAR image signal. The fusion rules consider the ratio of SAR image signal to optical image signal, image gradient and local variance of each image signal. We evaluated the proposed algorithm using Ikonos and TerraSAR-X satellite images. The proposed method showed better performance than the conventional methods which take only relatively strong SAR image signals in the fused image, in terms of entropy, image clarity, spatial frequency and speckle index.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.487-489
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• 2020

인공지능 기술을 도입한 의료분야에서 진단 및 예측과 연계한 임상의사결정지원 시스템(CDSS)에 관련된 연구가 활발하게 진행되고 있다. 특히, 인공지능 기술 적용에 가장 많은 이슈를 일으키고 있는 의료영상기반의 질환진단연구가 다양한 제품으로 출시되고 있는 실정이다. 그러나 의료영상 데이터는 일관되지 않은 데이터들로 이루어져 있으며, 그것을 정제하여 연구에 사용하기 위해서는 상당한 시간이 필요한 것이 현실이다. 본 논문에서는 익명화된 데이터를 정제하여 인공지능 연구에 사용할 수 있는 표준화된 데이터 셋을 만들고, 그 데이터를 기반으로 인공지능 알고리즘 개발 연구를 지원하기 위한 원스톱 인공지능학습 플랫폼에 대하여 기술한다. 이를 위해 전체 인공지능 연구프로세스를 보이고 이에 따라 학습을 위한 데이터셋 생성과 인공지능 학습학습용 플랫폼에서 수행되는 수행 과정을 결과로 보인다 제안한 플랫폼을 통해 다양한 영상기반 인공지능 연구에 활용될 것으로 기대하고 있다.

• Convergence Security Journal
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• v.24 no.2
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• pp.133-140
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• 2024

The spread of Direct-to-Consumer (DTC) genetic testing, where users request tests directly, has been increasing. With growing demand, certification systems have been implemented to grant testing qualifications to non-medical institutions, and the scope of tests has been expanded. However, unlike cases in less regulated foreign countries, disease-related tests are still excluded from the domestic regulations. The existing de-identification method does not adequately ensure the uniqueness and familial sharing of genomic information, limiting its practical utility. Therefore, this study proposes the application of fully homomorphic encryption in the analysis process to guarantee the usefulness of genomic information while minimizing the risk of leakage. Additionally, to safeguard the individual's right to self-determination, a privacy preservation model based on Opt-out is suggested. This aims to balance genomic information protection with maintainability of usability, ensuring the availability of information in line with the user's preferences.

• Journal of Hospice and Palliative Care
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• v.17 no.4
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• pp.278-288
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• 2014

Purpose: The purpose of this study is to analyze types of shared medical decision making by health professionals in a decision making position. Methods: The Q-methodology was used. Q sample was constructed with a total of 35 Q-statements that were offered with a 9-point rating scale. The statements were structured to generate answers that would form a shape of a normal distribution. Answers to Q sample were analyzed using a QUANL PC program. Results: Four types of shared medical decision making were identified. Type I is patient-centered decision making, Type II is physician-centered, Type III is health professional-centered and Type IV is patient-family-centered. Conclusion: Study results indicate that it is recommended to develop an education program based on the four types of shared medical decision making so that health professionals can be provided with different approaches according to their decision making style.

• Journal of the Korea Convergence Society
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• v.5 no.4
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• pp.21-25
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• 2014

Now, almost enterprise is applying data analysis method using the information systems on based information technology. The data analysis is focusing on the Quality of the data affecting the decision-making of various companies. This is the result of the data quality is due to the important role in the various parts as well as the effective operation of the enterprise. In this study, we describe about the data quality assessment models that are currently being studied. Based on this, we describe about the adaptive DQnA model being utilized for data quality analysis, and discuss about the quality analysis using this method.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.4
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• pp.507-512
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• 2015

In the wireless localization systems using range measurements, iteration method-based approximated solutions have been used. Also, linear closed-form solutions have been investigated in the light of local minimum problem and computational load. However, each closed-form solution has individual error factors that cause usage limit of the solutions. In this paper, a fusion method integrating two representative closed-form solutions is presented. The presented method cancels the error factors of each solution out. Weights for integrating the standalone solutions are determined using the error factors-based fuzzy method. The performance of the proposed method is verified using some simulation results.