• Journal of the Korean Society for Precision Engineering
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• v.12 no.10
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• pp.166-174
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• 1995

Flelxible Manufacturing Systems(FMS), which consist of various machine groups, can produce machine parts in different physical dimensions and lot sizes. In this paper, a novel method which utilizes Colored and Timed Petri Net is proposed to model a FMS. Each machine group of FMS is modulized and modeled using expanded Petri Nets. Colored and Timed Petri Nets are defined, and the flexible manufacturing systems's design algorithm based on this definition is developed and verified in a real FMS plant by computer simulations.

• Journal of The Korean Society of Integrative Medicine
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• v.6 no.3
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• pp.1-9
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• 2018

Purpose : We investigated the effects of horseback riding and horseback riding machine exercise on the serum lipid profile in elderly individuals. Methods : Our study included 30 healthy elderly individuals who were randomly assigned to 2 groups: the horseback riding and the horseback riding machine exercise group, with each group comprising 15 individuals. The riding exercise program was performed 25 times a week over 12 weeks. The repeated measures analysis of variance was used to determine changes in serum lipid profiles before and after exercise 6 and 12 weeks after exercise. Results : An intergroup comparison of blood tests showed that triglyceride, total cholesterol and low-density lipoprotein-C levels were decreased in both groups after 12 weeks of the riding exercise program. However, both groups showed an increase in high-density lipoprotein-C levels, although this difference was not statistically significant. Conclusion : Horseback riding and horseback riding machine exercise showed a positive effect on the serum lipid profile in elderly individuals.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.20 no.8
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• pp.742-752
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• 2010

In case of the working machine that using in the loud-noisy workplace, as it generates the loud-noise, it is influencing a physical, mental bad effect to those workers. Accordingly, though the noise countermeasure for the loud-noisy workplace is acutely requiring, until now, those methods that wearing the soundproof-protection tool, or restriction the working hours, and minimize the noise exposure volume, were mainly used. However, such noise countermeasures occur many problem points. On such point of view, using the acoustic simulation technique, let the workers to choose the workplace where suffering many damages due to the noise of working machine, and after grasp the physical property of working machine and indoor acoustic characteristic, this Study has attempted to grasp the reduction degree of noise level at before-improvement?after-improvement, through the sound-absorption measure. Passing through such preceding step, using auralizational technique based on the noise of working machine of before-improvement after-improvement, and by conduct psycho-acoustics evaluation, this study intended to investigate the change degree of subject reaction. As the result of evaluation, it is considering that the noise-reduction countermeasure method for the loud-noisy workplace could be much effective, through the sound-absorption measure.

• Proceedings of the KIEE Conference
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• 2008.10b
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• pp.145-146
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• 2008

The appearance inspection of various electronic products and parts has been executed by the eyesight of human. But inspection by eyesight cannot bring about uniform inspection result. Because the appearance inspection result by eyesight of human is changed by condition of physical and spirit of the checker. So machine vision inspection system is currently used to many appearance inspection fields instead of the checker. However the inspection result of machine vision is changed by the illumination of workplace. Therefore we proposed histogram specification in this paper for machine vision inspection accuracy. As a result of histogram specification algorithm, we could increase the exactness of visual inspection and prevent system error from physical and spirit condition of human. More specifically, average inspection error rate was 7.5[%] in existing inspection method but we could see 0.6[%] error rate after applying the algorithm which is presented in this paper.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.7
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• pp.2914-2935
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• 2016

With the increasing popularization of cloud computing, how to reduce physical energy consumption and increase resource utilization while maintaining system performance has become a research hotspot of virtual machine deployment in cloud platform. Although some related researches have been reported to solve this problem, most of them used the traditional heuristic algorithm based on greedy algorithm and only considered effect of single-dimensional resource (CPU or Memory) on energy consumption. With considerations to multi-dimensional resource utilization, this paper analyzed impact of multi-dimensional resources on energy consumption of cloud computation. A multi-dimensional resource constraint that could maintain normal system operation was proposed. Later, a novel virtual machine deployment method (NVMDM) based on improved particle swarm optimization (IPSO) and Euclidean distance was put forward. It deals with problems like how to generate the initial particle swarm through the improved first-fit algorithm based on resource constraint (IFFABRC), how to define measure standard of credibility of individual and global optimal solutions of particles by combining with Bayesian transform, and how to define fitness function of particle swarm according to the multi-dimensional resource constraint relationship. The proposed NVMDM was proved superior to existing heuristic algorithm in developing performances of physical machines. It could improve utilization of CPU, memory, disk and bandwidth effectively and control task execution time of users within the range of resource constraint.

• Journal of information and communication convergence engineering
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• v.22 no.3
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• pp.256-266
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• 2024

Sasang constitutional medicine (SCM) is one of the best traditional therapeutic approaches used in Korea. SCM prioritizes personalized treatment that considers the unique constitution of an individual and encompasses their physical characteristics, personality traits, and susceptibility to specific diseases. Facial features are essential for diagnosing Sasang constitutional types (SCTs). This study aimed to develop a real-time artificial intelligence-based model for diagnosing SCTs using facial images, building an SCTs prediction model based on a machine learning method. Facial features from all images were extracted to develop this model using feature engineering and machine learning techniques. The fusion of these features was used to train the AI model. We used four machine learning algorithms, namely, random forest (RF), multilayer perceptron (MLP), gradient boosting machine (GBM), and extreme gradient boosting (XGB), to investigate SCTs. The GBM outperformed all the other models. The highest accuracy achieved in the experiment was 81%, indicating the robustness of the proposed model and suitability for real-time applications.

• Journal of the Korean Applied Science and Technology
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• v.38 no.4
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• pp.951-962
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• 2021

The purpose of this study was to analyze the effects of smart machine circulation exercise on body composition, lung function, blood lipid and insulin resistance in obesity middle-aged women among 40-60 years by dividing them into a smart machine circulation exercise group(n=8), and control group(n=6). The smart machine circulation exercise program included 55-minutes sessions thrice each week at the following intensities: The strength of aerobic exercise is applied to smart machines by linking the smart machine with the POLAR T31; the 1-4 week is 40-50%HRR, 5-8 week is 50-60%HRR, and 9-10 week is 60-70%HRR. The strength of the resistance exercise was tested using a smart machine based on the constant velocity motion, and then, using the 1-RM data value, applied 40% 1-RM for 1-4 weeks, 60% 1-RM for 5-8 weeks, and 80% 1-RM for 9-10 week. As a results, body composition indicated that weight, BMI, %BF, WHR had a significant interaction effect. Lung function indicated that FVC levels significantly changes in the exercise group and the between groups difference in changes at 10week was significant. Also, FVC and FEV₁ significantly showed interaction effect. TC, TG and HDL-C levels significantly changes in smart machine circulation exercise group and the between-group difference in changes after 10 weeks was significant. TC, TG and HDL-C significantly showed interaction effect. Insulin resistance demonstrated that Insulin, Glucose and HOMA-IR levels significantly showed difference over 10 weeks between group. Therefore, the 10 weeks smart machine circulation exercise positively effects on the body composition, lung function, blood lipids, and insulin resistance in obesity middle-aged women and this smart machine circulation exercise can improve their obesity and prevent obesity.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2013.05a
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• pp.127-128
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• 2013

• Physical Therapy Korea
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• v.10 no.3
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• pp.81-90
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• 2003

This study was conducted to assess the effects of the gait training method in incomplete spinal cord injured persons using an auto-walking machine. Persons with incomplete spinal cord injury level C or D on the American Spinal Injury Association impairment scale participated for eight weeks in an auto-walking training program. The gait training program was carried out for 15 minutes, three times per day for 8 weeks with an auto-walking machine. The foot rests of the auto-walking machine can be moved forward, downward, backward and upward to make the gait pattern with fixed on crank. The patient's body weight is supported by a harness during waking training. We evaluated the gait speed, physiologic cost index, motor score of lower extremities and the WISCI (walking index for spinal cord injury) level before the training and after the forth and eighth week of walking training. 1. The mean gait speed was significantly increased from .22 m/s at pre-training to .28 m/s after 4 weeks of training and .31 m/s after 8 weeks of training (p=.004). 2. The mean physiologic cost index was decreased from 4.6 beats/min at pre-training to 3.0 beats/min after 4 weeks and 2.0 beats/min after 8 weeks of training, but it was not statistically significant (p=.140). 3. The mean motor score of lower extrernities was significantly increased from 29.8 to 35.8 after 8 weeks of training (p=.043). 4. The mean WISCI level was significantly increased from level 10 to level 19 after 8 weeks of training (p=.007). The results of this study suggest that the gait training program using the auto-walking machine increased the gait speed, muscle strength and galt pattern (WISCI level) in persons with incomplete spinal cord injury. A large, controlled study of this technique is warranted.

• Journal of Biosystems Engineering
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• v.28 no.5
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• pp.411-420
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• 2003

Physical and cultural properties were investigated on the rice-seed pellets made by the pelleting machine(Yu, 2003) as the changes with mixing ratios of soil to rice seed of 6 : 1, 7 : 1, and 8 : I, and rotating speeds of forming rolls of 7, 10, and 13 rpm. Average weight, average diameter, and average sphericity of the pellets were 1.70 g, 12.0 ㎜, and 99.1 ％, respectively. Average number of seeds per pellet was more than 3, and almost all pellets had more than 3 seeds in the cases of mixing ratios of 6 : 1, and 7 : 1 at the forming rolls' speed of 7 rpm. Gradual drying was needed because rapid drying caused cracks on surface of the pellets. Compression strength of the pellets dried in shady room was in the range of 132 ∼ 152 N, which was enough for handling. Comparing with the previous pellets(Park, 2002), average number of seeds per pellet, ratio of pellets including more than 3 seeds, and compression strength increased due to the effects of pressure feed of pellet materials, and improvements of the forming rolls. Emergence ratio of the pellets made at the mixing ratio of 6 : 1 and the forming rolls' speed of 7 rpm, was 100 % on dry paddy and was 97 % on flooded paddy surface. Good growth characteristics, and yield except number of seedling stand and ratio of missing plant were shown in planting of the pellets made at the mixing ratio of 7 : 1 and the forming rolls' speed of 7 rpm on flooded paddy surface field. Considering the cultural results, the mixing ratio of 6 : 1, and the forming rolls' speed of 7 rpm seems to be optimum operating condition for the improved pelleting machine.