• Proceedings of the Korea Contents Association Conference
• /
• 2006.11a
• /
• pp.111-114
• /
• 2006

This paper presents Morphable Model Construction which is based GeometriX tool processing various data array such as texture space and geometry(shape space) in order to reduce calculation cost due to rapid advancement of face recognition speed. It introduces efficiently vertex and pixel reduction for raw data, which is based GeometriX tool using stereo scan.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.8 no.1
• /
• pp.52-60
• /
• 2008

This research proposes a new strategy where documents are encoded into string vectors for text categorization and modified versions of SVM to be adaptable to string vectors. Traditionally, when the traditional version of SVM is used for pattern classification, raw data should be encoded into numerical vectors. This encoding may be difficult, depending on a given application area of pattern classification. For example, in text categorization, encoding full texts given as raw data into numerical vectors leads to two main problems: huge dimensionality and sparse distribution. In this research, we encode full texts into string vectors, and apply the modified version of SVM adaptable to string vectors for text categorization.

• Journal of Information Processing Systems
• /
• v.4 no.2
• /
• pp.67-76
• /
• 2008

This research proposes a new strategy where documents are encoded into string vectors and modified version of k means algorithm to be adaptable to string vectors for text clustering. Traditionally, when k means algorithm is used for pattern classification, raw data should be encoded into numerical vectors. This encoding may be difficult, depending on a given application area of pattern classification. For example, in text clustering, encoding full texts given as raw data into numerical vectors leads to two main problems: huge dimensionality and sparse distribution. In this research, we encode full texts into string vectors, and modify the k means algorithm adaptable to string vectors for text clustering.

• Journal of Fashion Business
• /
• v.5 no.5
• /
• pp.7-15
• /
• 2001

As a means of achieving fashion technology and scientification, this research on the standardization proposals of body type research methods has the following conclusions: 1. As human body displays different characteristics according to races, regions, sexes, and ages, clothing products (unlike other industrial goods) cannot be subject to global standardization. As a result, clothing size standardization can be desirably regionalized, for example, as Asian, European countries, etc. 2. In order to share human-body-concerned information among nations, programs for raw data exchange need to be urgently developed. 3. Top priority is databasing all raw data at home and abroad. 4. So that the findings of body type research can be practically applied to the concerned industry, industry-academy cooperation and information exchange are a must. While researchers have to heighten the precision of their studies, industrial partners ought to focus on the invaluable importance of academic research. 5. The scientific body type analysis, the basis of fashion technology, as well as the development of its application technology and software are ultimately and urgently required.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.22 no.4
• /
• pp.515-520
• /
• 2012

In brain computer interface (BCI) system, the most important part is classification of human thoughts in order to translate into commands. The more accuracy result in classification the system gets, the more effective BCI system is. To increase the quality of BCI system, we proposed to reduce noise and artifact from the recording data to analyzing data. We used auditory stimuli instead of visual ones to eliminate the eye movement, unwanted visual activation, gaze control. We applied independent component analysis (ICA) algorithm to purify the sources which constructed the raw signals. One of the most famous spatial filter in BCI context is common spatial patterns (CSP), which maximize one class while minimize the other by using covariance matrix. ICA and CSP also do the filter job, as a raw filter and refinement, which increase the classification result of linear discriminant analysis (LDA).

• Proceedings of the KIEE Conference
• /
• 1999.07b
• /
• pp.822-825
• /
• 1999

This paper compares two methods of GPS/INS integration ; tightly-coupled integration ana loosely-coupled integration. In the tightly -coupled method an integrated Kalman filter is designed to process raw GPS measurement data for state update and INS data for propagation. The loosely-coupled integration method uses the solution outputs from a stand-alone GPS receiver for update. The loosely-coupled method is simpler and can readily be applied to off-the-self receivers and sensors while the tightly-coupled integration requires access to raw measurement mechanism of the receiver. Simulation result show that the tightly-coupled integration system exhibits better performance and robustness than loosely-coupled integration method.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.12 no.5
• /
• pp.549-556
• /
• 2009

One of the basic technology for implementing the autonomy of UGV(Unmanned Ground Vehicle) is a path planning algorithm using obstacle and raw terrain information which are gathered from perception sensors such as stereo camera and laser scanner. In this paper, we propose a generation method of DVGM(Directional Velocity Grid Map) which have traverse speed of UGV for the five heading directions except the rear one. The fuzzy system is designed to generate a resonable traveling speed for DVGM from current patch to the next one by using terrain slope, roughness and obstacle information extracted from raw world model data. A simulation is conducted with world model data sampled from real terrain so as to verify the performance of proposed fuzzy inference system.

• Journal of the Korean Society for Precision Engineering
• /
• v.1 no.1
• /
• pp.34-49
• /
• 1984

The stability of machine tool systems is analyzed by considering the machining process as a stochastic process without decomposing into machine tool structural dynamics and cutting processes. In doing so the time series analysis technique developed by Wu and Pandit is applied systematically to the relative vibration between cutting tool and work- piece measured under actual working conditions. Various characteristic properties derived from the fitted ARMA(Autoregressive Moving Average) Models and those from raw data directly are investigated in relation with the system stability. Both damping ratio and absolute value of the characteristic roots of the AR part of the most significant dynamic mode are preferred as stability indicating factors to the other pro-perties such as theoretical variance .gamma. (o) or absolute power of the most dominant dynamic mode. Maximum aplitude during a certain interval and variance estimated from raw data are shown to be very sensi- tive to the type of the signal and the location of measurement point although they can be obtained rather easily. The relative vibration signal is also analyzed by FFT(Fast Fourier Transform) Analyzer for the purpose of comparison with the spectrums derived from the fitted ARMA models.

• Journal of the Korean Home Economics Association
• /
• v.31 no.4
• /
• pp.201-208
• /
• 1993

The ascorbic acid contents of 101 food items were analyzed by HPLC to provide database to estimate dietary intakes of ascorbic acid of Korean. Foods with high contents of ascorbic acid were green vegetables, citrus fruits, strawberry, kiwi, and fruit juices. This analysis data of ascorbic acid contents in some food items showed significant deviations compared with other Food Composition Table. Ascorbic acid content in soups were lower than those of raw foods by about 57%. The ascorbic acid contents in blanched or seasoned after blanching vegetables and boiled or steamed meals turned out to be decreased by about 52.3% and 47.5%, respectively, but the degrees were varied with the kind of foods as well as cooking methods. The ascorbic acid intakes from 18 most frequently consumed meals in Korea were determined to be about 1/2 of Food Composition Table according to this analysis data. The results showed the importance of accurate food database in assessing nutrient intake levels of population.

• Journal of Information Processing Systems
• /
• v.4 no.1
• /
• pp.17-26
• /
• 2008

This research proposes a new strategy where documents are encoded into string vectors and modified version of KNN to be adaptable to string vectors for text categorization. Traditionally, when KNN are used for pattern classification, raw data should be encoded into numerical vectors. This encoding may be difficult, depending on a given application area of pattern classification. For example, in text categorization, encoding full texts given as raw data into numerical vectors leads to two main problems: huge dimensionality and sparse distribution. In this research, we encode full texts into string vectors, and modify the supervised learning algorithms adaptable to string vectors for text categorization.