• PNF and Movement
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• v.17 no.1
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• pp.47-56
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• 2019

Purpose: This study investigated the effects of neck pattern of proprioceptive neuromuscular facilitation (PNF) on balance and walking ability in patients with chronic stroke. Methods: Fourteen participants with chronic stroke were randomly assigned to vestibular rehabilitation and then divided into two groups: the neck pattern group or treadmill group. Each group underwent 20 sessions (20 minutes/day, five days/week, for four weeks). Patients were assessed with the Berg balance scale (BBS) and gait parameters (gait speed, cadence, step length, and double-limb support period) using a GAITRite system. Results: Vestibular rehabilitation for the neck pattern group and the treadmill group showed significant intragroup improvement on the BBS and in terms of gait speed, cadence, step length, and double-limb support period (p < 0.05). Vestibular rehabilitation was more effective for the neck pattern group than for the treadmill group in terms of the BBS (p = 0.00; 95% CI, 1.49-5.94), gait speed (p = 0.01; 95% CI, 0.05-0.16), cadence (p = 0.02; 95% CI, 0.54-4.99), and step length (p = 0.00, 95% CI, 1.55-4.62). Conclusion: This study used the neck pattern of PNF for vestibular rehabilitation in patients with chronic stroke. The results showed significant improvement in the patients' balance and walking ability. Therefore, the neck pattern of PNF for vestibular stimulation may be more effective than treadmill training to improve balance and walking ability in patients with chronic stroke.

• Journal of Sasang Constitutional Medicine
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• v.24 no.4
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• pp.28-39
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• 2012

Objectives : This study is aimed to develop the algorithm to diagnose Taeeumin's symptomology, by the method of literature research on Sasang Constitutional Medicine. Methods : Applying the sequential differentiations of Taeeumin's symptomology, or exterior-interior disease differentiation, favorable-unfavorable pattern differentiation, and mild-severe-dangerous-urgent pattern differentiation, "Donguisusebowon" and related literatures have been reviewed. Results and Conclusions : 1) 1st step: Taeeumin's exterior pattern and interior pattern are differentiated by the indexes of whole-body cold or heat pattern, sweating, and facial complexion. 2) 2nd step: The favorable pattern of the Taeeumin's exterior disease can be detected by indexes of the existence of fever, generalized pain while the unfavorable one by indexes of the abnormal condition of digestion and feces, and fearful throbbing. The favorable pattern of the Taeeumin's interior disease can be diagnosed based on indexes of eye pain, dry nose, dry throat, and heat symptoms that occur in various parts of the body, while the unfavorable one by indexes of thirsty, urination, feces and specific symptoms which can be induced by dryness. And in the both unfavorable patterns the dark complexion on the faces is revealed. 3) 3rd step: The mild-severe patterns of the favorably exterior disease are differentiated in terms of the condition of fever, while the mild-severe patterns of the favorably interior disease are in differentiated based on whether abnormal symptoms are revealed in the gastrointestinal tract. Both of the unfavorably dangerous-urgent patterns in exterior and interior diseases are differentiated by the symptoms such as tinnitus, dim vision, weakness of legs and back pain, and lack of strength in legs and thighs.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.80-80
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• 2000

The GPS can provide accurate position information on the earth. But GPS receiver can't give position information inside buildings. DR(Dead-Reckoning) or INS(Inertial Navigation System) gives position information continuously indoors as well as outdoors, because they do not depend on the external navigation information. But in general, the inertial sensors severely suffer from their drift errors, the error of these navigation system increases with time. GPS and DR sensors can be integrated together with Kalman filter to overcome these problems. In this paper, we developed a personal navigation system which can be carried by person, using GPS and electronic pedometer. The person's footstep is detected by an accelerometer installed in vertical direction and the direction of movement is sensed by gyroscope and magnetic compass. In this case the step size is varying with person and changing with circumstance, so determining step size is the problem. In order to calculate the step size of detected footstep, the neural network method is used. The teaming pattern of the neural network is determined by human walking pattern data provided by 3-axis accelerometer and gyroscope. We can calculate person's location with displacement and heading from this information. And this neural network method that calculates step size gives more improved position information better than fixed step size.

• Korean Journal of Human Ecology
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• v.7 no.1
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• pp.1-10
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• 2004

The purpose of this study is to observe the teaching method and cognition process in using the PAD, Lectra and Investronica pattern CAD system. It is necessary to gather information about apparel pattern CAD to enable clothing and textile educators to efficiently incorporate CAD into their curricula and to provide more substantial information. Interviews and questionnaires were used in the research and twenty four questionnaires were used for data analysis. The results of this study are as follows: 1) Students thought that new technology such as apparel pattern CAD is important in the apparel industry, and they have a positive vision toward such innovation. 2) Student who study harder during in CAD class worked easily of all PAD, Investronica and Lectra system. 3) The most preferred teaching method is to small group instruction by the instructor and then having feedback from the instructor. 4) Students realized that they needed to take prerequisites subjects like clothing construction. 5) The most interesting step is the pattern grading system and the least interesting but easiest step is digitize for patterns in the Investronica system.

• Journal of the Korean Institute of Telematics and Electronics
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• v.25 no.5
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• pp.495-500
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• 1988

The effectiveness of tri layer resist (TLR) technique is compared with that of single layer resist (SLR) technique in order to make a 0.8um pattern with the linewidth deviation of 10 percents. SLR technique is not appropriate to shape the micro-pattern on oxide and aluminum steps because of the standing wave effect and the light scattering effect in shaping the resist pattern. On the contrary, the uniform line with a width of 0.8um on oxide and aluminum steps can be formed by TLR technique, reducting such effects. The planarization and the light absorption coefficient of the bottom layer resist in TLR are optimized by exposing it to ultra violet light after baking it for 30min at 230\ulcorner. An uniform line with a width of 0.8um on oxide step is defined with the light absorption coefficient of 0.85 whereas that on aluminum step is defined with 0.95.

• Explosives and Blasting
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• v.30 no.1
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• pp.52-59
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• 2012

Fragmentation is one factor to affect productivity and economic efficiency of mine. Authors investigate the blasting pattern and improve it step by step while observing the fragmentation results. Final pattern was suggested and the fragmentation improved 24 % compared to traditional pattern, with 50 % is passing rate.

• Journal of the Korean Institute of Telematics and Electronics
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• v.21 no.1
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• pp.1-6
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• 1984

Calculation of the launch-condition dependent near field pattern, modal power distribution and far field pattern of the SGS mode scrambler by ray optical approch fits well with the experiment. These results were applied to explain how to establish the stable mode launching into the grated index multimode fiber under test by the SGS mode scrambler. The effective use of the 5G5 mode scrambler is found to restrict the launching NA as well as possible. This was also confirmed by experiment.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1998.04a
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• pp.175-182
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• 1998

The object of this study is shape finding and cutting pattern generation of membrane structures under the following assumptions : (1) material is linearly elastic (2) stress state is plane stress. Cable and membrane structures should introduce the nonlinear analysis considering geometric nonlinearity because these structures deform largely under the external loads. The analysis procedure is consisted of three steps considering geometric nonlinearity unlike any other structures. First step is the shape finding analysis to determine the initial equilibrium shape. Second step is the stress-deformation analysis to investigate the behaviors of structures under various external loads. Once a satisfactory shape has been found, a cutting pattern based on the shape finding analysis may be generated from the view point of construction. In this paper, (1) shape finding analysis formulation and an example, (2) cutting pattern determination procedure using weighted least-square minimization flattening method and some results are presented.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1998.10a
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• pp.266-273
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• 1998

The object of this study is shape finding and cutting pattern generation of membrane structures under the following assumptions: (1) material is linearly elastic (2) stress state is plane stress. Cable and membrane structures should introduce the nonlinear analysis considering geometric nonlinearity because these structures deform largely under the external loads. The analysis procedure is consisted of three steps considering geometric nonlinearity unlike any other structures. First step is the shape finding analysis to determine the initial equilibrium shape. Second step is the stress-deformation analysis to investigate the behaviors of structures under various external loads. Once a satisfactory shape has been found, a cutting pattern based on the shape finding analysis may be generated from the view point of construction. In this paper, after shape finding analysis, cutting pattern determination procedure using weighted least-square minimization flattening method and some results are presented.

• Journal of the Korea Institute of Military Science and Technology
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• v.12 no.1
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• pp.18-23
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• 2009

It is hard to find an operation case using anti-submarine searching pattern(ASSP) developed by Korean navy since Korean navy has begun submarine searching operation. This paper proposes the method to develop hull mount sonar(HMS) based optimal submarine searching pattern by using genetic algorithm. Developing the efficient ASSP based on theory in near sea environment has been demanded for a long time. Submarine searching operation can be executed by using ma ulti-step and multi-layed method. however, In this paper, we propose only HMS based ASSP generation method considering the ocean environment and submarine searching tactics as a step of first research. The genetic algorithm, known as a global opination method, optimizes the parameters affecting efficiency of submarine searching operation. Finally, we confirm the performance of the proposed ASSP by simulation.