• The Transactions of the Korean Institute of Electrical Engineers D
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• v.53 no.12
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• pp.834-838
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• 2004

This paper proposes an algorithm for EEG pattern classification using the Multi-template method, which is a kind of speaker adaptation method for speech signal processing. 10-channel EEG signals are collected in various environments. The linear prediction coefficients of the EEGs are extracted as the feature parameter of human sensibility. The human sensibility classification algorithm is developed using neural networks. Using EEGs of comfortable or uncomfortable seats, the proposed algorithm showed about 75% of classification performance in subject-independent test. In the tests using EEG signals according to room temperature and humidity variations, the proposed algorithm showed good performance in tracking of pleasantness changes and the subject-independent tests produced similar performances with subject-dependent ones.

• Archives of design research
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• v.5 no.1
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• pp.69-76
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• 1992

INDUSTRIAL DESIGN(1.D) has been recognized as an independent subject for 30 years 10 KOREA and 70 years in the worldwide. Though the beginning of the 1.D is extended to the commercialization of the art, history of 1.D is still 150 years, and very short compared to the those of other subject. The scientific identity of 1.D has to be established to prepare the role of 1.0 for the information society and industrial society of the 21 century. 1.D contains the essence such as integrated and $$\mu$titude character and two lineaments( Analytic science and Synthetic science-objective and subjective) 1.D has undergone confusion and fallacy in society and educational system. To develop achieve the goal of design education and to the competItIve design country in the world market, the scientific status of I.O has to be established as a integrated and independent subject. This study generally reviewed 1.0 to find the essence and scientific status of subject to determine the direction foward the next century in the view of intellectual structure and system.

• Journal of Institute of Control, Robotics and Systems
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• v.13 no.9
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• pp.838-842
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• 2007

A brain-computer interface(BCI) system is a communication channel which transforms a subject's thought process into command signals to control various devices. These systems use electroencephalographic signals or the neuronal activity of many single neurons. The presented study deals with an efficient analysis method of neuronal signals from a BCI System using an independent component analysis(ICA) algorithm. The BCI system was implemented to generate event signals coding movement information of the subject. To apply the ICA algorithm, we obtained the perievent histograms of neuronal signals recorded from prefrontal cortex(PFC) region during target-to-goal(TG) task trials in the BCI system. The neuronal signals were then smoothed over 5ms intervals by low-pass filtering. The matrix of smoothed signals was then rearranged such that each signal was represented as a column and each bin as a row. Each column was also normalized to have a unit variance. As a result, we verified that different patterns of the neuronal signals are dependent on the target position and predefined event signals.

• Journal of the Korean Operations Research and Management Science Society
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• v.16 no.2
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• pp.164-176
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• 1991

This paper considers the model of a k-out-of-n :G system with non-identical components which are subject to both forced and planned outages. For the forced outages, it assumes that there are the independent and common-cause outage events causing component failures. Then, the objective is to derive the upper and lower bounds on the mean operating time between system failures in the ample-server model. In addtion, the mean system failure times are also considered.

• Journal of Korean Society of Archives and Records Management
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• v.18 no.4
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• pp.99-124
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• 2018

This study suggests the development of a classification system for the Independent Movement Records of the Ministry of Patriots and Veterans Affairs based on the collection of Gonghun Digital Archive based on sources, subjects, and media types. First, the classification system by source is organized by hierarchy, and the records classified by source are classified into the second category based on the related keyword. Then, the records are classified into 17 media types. Finally, it is described in the citation order of "source-subject-media type." In addition, a meaningful collection using inductive methods based on the subject words is derived. Finally, Gonghun Digital Archive collections are categorized by media types, sources, and subjects so that users can easily find the records. The result of this study is a classification system to support records retrieval of an independent movement collection, and it will become a basis for expanding the accessibility of the user and the service of independent movement records.

• Journal of Korean Library and Information Science Society
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• v.14
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• pp.71-98
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• 1987

After 1970s, because of an increasing peoples for higher education and graduate school-oriented education system, quantities of thesis were produced for short term and they began to be an important part of gift materials in university libraries. As an unpublished documents, thesis is narrow in subject, deep in content, irregular is page, incomplete in binding and produce limited-edition during short time simultaneously at most institutions. So most libraries are in difficulties for acquisition processing and circulation. Because of an increasing number of thesis will be produce and cutback of budget, shortage of staff, library service for user will be difficult and rational and efficient management is absolutely essential to library. In form and content, thesis is in distinction with other library materials, they must be handler as an independent item and library will seek an a n.0, ppropriate processing and using method of them. Analysis and synthesis of this study are summarized as follows. 1. In acquisition of thesis, it is desirable that they has an independent accession book with a simplified processing procedure and the binding of them is desirable together with subject field(major or department) by institutions. 2. In classification and cataloging of thesis, it is rational that library use the same classification scheme as other materials and expand in details. Simplified catalog will be reduce the time and/or personnel problem than using the traditional KCR or AACR. 3. As an retrieval tool, author, title, shelf and subject catalog must be prepared in thesis room. Index of thesis will be available for retrieval with the trend of union list and Korean periodicals index (National Assembly Library, Republic of Korea) must include the thesis. 4. Because of the nature and characteristics of thesis, library has to equip an independent room and open stack for the a n.0, ppropriate retrieval and frequent use. Qualified librarian must serve for the efficient circulation service.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.25 no.3
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• pp.28-33
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• 2002

Several studies indicated that an independent visual background (IVB) reduced simulator sickness (SS) and balance disturbance associated with exposure to virtual environments (VEs) and motion simulators. A recent study showed that an IVB comprised of an earth-fixed grid was less effective in a complex driving simulator than in a simple VE. Subjects' post-experiment reports indicated that the VE motion "induced" motion of the earth-fixed grid m. This led to the suggestion that an IVB comprised of clouds would be less subject to induced motion and therefore would alleviate nausea more effectively than a grid IVB. Clouds are "natural" and are usually perceived as relatively stable, whereas a grid has no inherent stability. 12 subjects were exposed to complex motion through a simulated environment in a driving simulator under 3 IVB conditions: grid, less clouds, many clouds. They reported less nausea when the many-cloud IVB was used relative to the grid IVB condition. grid IVB condition.

• IE interfaces
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• v.12 no.1
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• pp.114-120
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• 1999

A system consisting of two continuously and independently operating equipment subject to breakdown and repair, is considered. It is assumed that both equipment age only when in operation, and a group replacement policy is in effect, that is, both equipment are replaced simultaneously by new identical ones as soon as either of them reaches a specified replacement age. First, a system of partial differential equations based on enumerating the various probabilistic events, is derived. Then, solutions of such system of equations for a model considered in the steady-state are obtained. Finally, an economic analysis is performed to determine the optimal replacement ages of both equipment.

• Journal of Multimedia Information System
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• v.8 no.1
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• pp.1-10
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• 2021

Heart Rate is a crucial physiological parameter that provides basic information about the state of the human body in the cardiovascular system, as well as in medical diagnostics and fitness assessments. At present day, it has been demonstrated that facial video-based photoplethysmographic signal captured using a low-cost RGB camera is possible to retrieve remote heart rate. Traditional heart rate measurement is mostly obtained by direct contact with the human body, therefore, it can result inconvenient for long-term measurement due to the discomfort that it causes to the subject. In this paper, we propose a non-contact-based remote heart rate measuring approach of the subject which depends on the color intensity variation of the subject's facial skin. The proposed method is applied in two regions of the subject's face, forehead and cheeks. For this, three different algorithms are used to measure the heart rate. i.e., Fast Fourier Transform (FFT), Independent Component Analysis (ICA) and Principal Component Analysis (PCA). The average accuracy for the three algorithms utilizing the proposed method was 89.25% in both regions. It is also noteworthy that the FastICA algorithm showed a higher average accuracy of more than 92% in both regions. The proposed method obtained 1.94% higher average accuracy than the traditional method based on average color value.

• International journal of advanced smart convergence
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• v.9 no.1
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• pp.193-201
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• 2020

The main objective of this study is to investigate the impact of additional modalities on the performance of emotion recognition using speech, facial expression and physiological measurements. In order to compare different approaches, we designed a feature-based recognition system as a benchmark which carries out linear supervised classification followed by the leave-one-out cross-validation. For the classification of four emotions, it turned out that bimodal fusion in our experiment improves recognition accuracy of unimodal approach, while the performance of trimodal fusion varies strongly depending on the individual. Furthermore, we experienced extremely high disparity between single class recognition rates, while we could not observe a best performing single modality in our experiment. Based on these observations, we developed a novel fusion method, called parametric decision fusion (PDF), which lies in building emotion-specific classifiers and exploits advantage of a parametrized decision process. By using the PDF scheme we achieved 16% improvement in accuracy of subject-dependent recognition and 10% for subject-independent recognition compared to the best unimodal results.