• Journal of Oral Medicine and Pain
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• v.23 no.1
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• pp.21-36
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• 1998

The purpose of this study was analyse the mandibular movements in patients with internal derangement of the temporomandibular joint according to diagnostic subgroups. The author classified patients with internal derangement of the temporomandibular joint into 4 diagnostic subgroups by means of the magnet resonance imagings, and evaluated the clinical signs and the mandibular movements with Mandibular Kinesiograph(MKG) in each subgroups. The mandibular movements, measured in this study, were the types of movement in frontal and sagittal plane, velocities in opening and closing movement, and the opening and closing movement, and the opening and closing velocity pattern. The data were compared between the 5 groups including the normal group. The results were as follows : 1. Pain was more frequently observed in the anterior disc displacement without reduction group than in the anterior disc displacement with reduction group. Sound of joint was more frequently observed in the anterior disc displacement with reduction group, and limitation of mandibular opening movement was more frequently observed in the anterior disc displacement without reduction group. Duration of the anterior disc displacement without reduction group was significantly short compared to that of the anterior disc displacement with reduction group, and duration of the unilateral anterior disc displacement without reduction group was shortest in the experimental group. The frequency of Angle's classifications had not significant correlations between the experimental groups. 2. Active and passive range of the opening movement, maximum protrusive movement, maximum lateral movement toward left side were significantly decreased in the experimental groups compared to the control group, but there was no significant difference in the range of the maximum lateral movement toward right side between the control and experiment groups. In unilateral anterior disc displacement without reduction group, the range of maximum lateral movement toward unaffected side was no significant difference in the range of the maximum lateral movement between toward affected side and toward unaffected side. 3. Maximum opening velocity, maximum closing velocity, average opening velocity, average closing velocity and maximum velocity of terminal tooth contact were significantly decreased in the experimental groups compared to control group. There was no significant difference in maximum opening velocity and maximum velocity of Terminal tooth contact between the subgroups of the experimental group each other, but there was significant difference in maximum closing velocity, average opening velocity and average closing velocity between the subgroups each other. 4. In the frontal plane of the MKG, the frequency of complex deviation type(F-2)pattern was significantly increased in the anterior disc displacement with out reduction group compared to the anterior disc displacement with reduction group and the control group. In the sagittal plane, the frequency of coincident type(S-1)was decreased in the same group. 5. In the maximum opening velocity pattern, the frequency of no-peak type (OV-3)in the unilateral anterior disc displacement with reduction group was significantly increased compared to the control group. The frequency of 1-peak type (OV-1) and 2-peak type (OV-2) was decreased in the anterior disc displacement with out reduction group, but the frequency of no-peak type (OV-3)was increased in the same group. In the maximum closing velocity pattern, the frequency of no-peak type (CV-3) was significantly increased in the anterior disc displacement without reduction group. Compared to the anterior disc displacement with reduction group and the control group. The frequency of 1-peak type (CV-1) and 2-peak type (CV-2) in the anterior disc displacement with reduction group was decreased than that in the control group.

• Korean Journal of Human Ecology
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• v.12 no.1
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• pp.53-61
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• 2003

The purpose of this study was to compare the flat pattern with the draping pattern for the jacket. The results of this study were as follows: 1) According to the sensory evaluation for the movement, P2 flat pattern was more comfortable than the draping pattern at 88-94(N)-160 (77size). 2) The sensory evaluation was applied to evaluate the draping pattern was superior to the flat pattern for the collar at 82-90(N)-160(55size), 85-92(N)-160(66size) and 88-94(N)-160(77size). 3) The draping pattern was superior to the flat pattern in the sensory evaluation for the front and back. 4) Lee Hyung-Suck's flat pattern (P1) was better in appearance than the P2 and the draping pattern (P3) for the side sensory evaluation at 82-90(N)-160(55size) and 85-92(N)-160(66size).

• The Research Journal of the Costume Culture
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• v.12 no.2
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• pp.249-261
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• 2004

This research proves the ROM method (Range Of Motion), which has already been used in other countries, that measures the capacity of exercise and the adaptation of movement of functional garments for special purpose due to change of the height of basic sleeve sloper. Basically, the ultimate goal of the research is to improve the functional pattern design. Firstly, this research proves the proper application of ROM that is used for the evaluation of fitting test. Therefore, according to this research, the company is able to produce the sample that is appropriate to the various purpose for women garments and betters the evaluation of function of garments. Moreover, it suggests that the evaluation of fitting test satisfies the consumers who desire to try better garments and contributes to the competitions among the companies that bring more improvements to the fashion design.

• Journal of Environmental Science International
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• v.6 no.5
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• pp.437-449
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• 1997

To predict diffusion and movement of k pollutants In coastal urban region a numerical simulation shouts be consider atmospheric flow field with land-sea breeze, mountain-valley wand and urban effects. In this study we used Lagrangian [article dispersion method In the atmospheric flow field of Pusan coastal region to depict diffusion and movement of the Pollutants emoted from particular sources and employed two grid system, one for large scale calculating region with the coarse mesh grid (CMG) and the other for the small region with the One mesh 914 (FMG). It was found that the dispersion pattern of the pollutants followed local circulation system in coastal urban area and wale air pollutants exhausted from Sasang moved Into Baekyang and Jang moutain, air pollutants from Janglim moved into Hwameong-dong region.

• International Journal of Naval Architecture and Ocean Engineering
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• v.3 no.2
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• pp.122-125
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• 2011

In this work, the movement pattern of a floating breakwater is numerically analyzed using Smoothed Particle Hydrodynamic (SPH) method as a Lagrangian scheme. At the seaside, the regular incident waves with varying height and period were considered as the dynamic free surface boundary conditions. The smooth and impermeable beach slope was defined as the bottom boundary condition. The effects of various boundary conditions such as incident wave characteristics, beach slope, and water depth on the movement of the floating body were studied. The numerical results are in good agreement with the available experimental data in the literature The results of the movement of the floating body were used to determine the transmitted wave height at the corresponding boundary conditions.

• Proceedings of the IEEK Conference
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• summer
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• pp.417-420
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• 2004

Caenorhabditis (C) elegans is often used in genetic analysis in neuroscience because its simple organism; an adult hermaphrodite contains only 302 neuron. So the worm is often used to study of cancer, alzheimer disease, aging, etc. To analysis mutant type of the worm, an experienced observer was able to subjectively before, but requirements for objective analysis are now increasing. For this reason, we use automated tracking systems to extract global movement coordinate of the worm. In this paper, we extract features, which are related on reversal and movement of the worm. Using these features, we quantitatively analysis 6 type mutant by movement and reversal characteristic.

• Proceedings of the IEEK Conference
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• 2003.07d
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• pp.1541-1544
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• 2003

In This Paper, alternative method fur data pattern estimation is proposed and its numerical experiment is carried out. Proposed method gives candidates cluster numbers of given data set between n-2 and 2 by means of movement of the center of gravity. To observe the performance of proposed method, Test sample data sets are offered. Finally, this method is applied to Box and Jenkins's gas furnace data to verify the performance with previous researches.

• Journal of Korean Physical Therapy Science
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• v.7 no.2
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• pp.641-651
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• 2000

The purpose of study is aimed at analysing the body deformity types through movement pattern of shoulder pain patients without considering of upper extremity radiating pain. This study was proceeded in a time-series method through the fifty shoulder pain patients visited the hospital for the first time. The results were as follows. 1. Body type I: Deformity style of Lt shoulder & pelvis forward tilt was 8 patirnts (16%) 2. Body type II: Deformity style of Rt shoulder & pelvis forward tilt style was 22 patirnts (44%) 3. Body type III: Deformity style of Lt shoulder & Rt pelvis forward tilt style was 9 patirnts (18%) 4. Body type IV: Deformity style of Rt shoulder & Lt pelvis forward tilt style was118 patirnts (22%).

• Proceedings of the KIEE Conference
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• 2000.11d
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• pp.769-771
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• 2000

In this paper, pattern recognition scheme for EMG signal using artificial neural network is proposed. For manipulating ability, the movements of human arm are classified into several categories EMG signals of appropriate muscles are collected during arm movement. Patterns of EMG signals of each movement are recognized as follows: 1) The features of each EMG signal are extracted. 2) With these features, the neural network is trained by using feedforward error back-propagation (FFEBP) algorithm. The results show that the arm movements can be classified with EMG signals at high accuracy.

• Proceedings of the KIEE Conference
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• 1992.07a
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• pp.459-461
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• 1992

This paper presents the new method to recognize the 2D patterns dynamically by rotating the input patterns according to the difference vector. Generally neural network with many patterns leads to various recognition ratio. The dynamic management of input patterns means that we can move pixels to desired locations controlled by the difference vector. We divide dual neural network model into two parts at learning phase, respectively. And then we combine them to construct the total network. Our model has some good results such that it has less number of patterns and reduced learning time. At present, we only discuss the four way movement of input patterns. The research for the complex movement will be fulfilled later.