• Title/Summary/Keyword: maeA

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Torsional Stiffness Analysis of a Cycloid Reducer using Hertz Contact Theory (Hertz 접촉이론을 이용한 사이클로이드 감속기의 비틀림 강성해석)

  • Lee S.Y.;Park J.S;Ahn H.J.;Han D.C.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.06a
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    • pp.816-821
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    • 2005
  • The cycloid reducer has very high efficiency, high ratios, high stiffness and small size, in comparison with a conventional gear mechanism, which makes it an attractive candidate for limited space and precision application such as industrial robot. There are several publications on analysis and design of the cycloid reducer, however, it was assumed that the contact stiffness of pin rollers and cycloid disk is constant regardless of their contact geometry. Moreover, the torsional stiffness of the cycloid reducer couldn't be calculated due to the assumption. In this paper, we present a new procedure of calculating torsional stiffness of the cycloid reducer using Hertz contact theory. First, conventional force analysis of the cycloid reducer is briefly reviewed. Then, iterative numerical calculation procedure of the contact stiffness is proposed based on the Hertz contact theory where the contact stiffness depends on the contact force. In addition, total torsional stiffness of the cycloid reducer is estimated considering its rolling element bearing stiffness. The torsional stiffness of the cycloid reducer is dominated by the rolling element bearing stiffness since the contact stiffness of the cycloid disk is too large.

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Morphology and Phylogeny of Neoscytalidium orchidacearum sp. nov. (Botryosphaeriaceae)

  • Huang, Shi-Ke;Tangthirasunun, Narumon;Phillips, Alan J.L.;Dai, Dong-Qin;Wanasinghe, Dhanushka N.;Wen, Ting-Chi;Bahkali, Ali H.;Hyde, Kevin D.;Kang, Ji-Chuan
    • Mycobiology
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    • v.44 no.2
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    • pp.79-84
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    • 2016
  • A coelomycete with characters resembling the asexual morphs in the family Botryosphaeriaceae was isolated from a fallen leaf of an orchid collected in Thailand. Morphological and phylogenetic analyses placed the strain in Neoscytalidium. Phylogenetic relationships among Neoscytalidium species were inferred by analyzing internal transcribed spacers and large subunit of rRNA sequence data and indicate that our strain is a new species, which is introduced and illustrated herein as Neoscytalidium orchidacearum sp. nov.

Novel integrative soft computing for daily pan evaporation modeling

  • Zhang, Yu;Liu, LiLi;Zhu, Yongjun;Wang, Peng;Foong, Loke Kok
    • Smart Structures and Systems
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    • v.30 no.4
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    • pp.421-432
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    • 2022
  • Regarding the high significance of correct pan evaporation modeling, this study introduces two novel neuro-metaheuristic approaches to improve the accuracy of prediction for this parameter. Vortex search algorithms (VSA), sunflower optimization (SFO), and stochastic fractal search (SFS) are integrated with a multilayer perceptron neural network to create the VSA-MLPNN, SFO-MLPNN, and SFS-MLPNN hybrids. The climate data of Arcata-Eureka station (operated by the US environmental protection agency) belonging to the years 1986-1989 and the year 1990 are used for training and testing the models, respectively. Trying different configurations revealed that the best performance of the VSA, SFO, and SFS is obtained for the population size of 400, 300, and 100, respectively. The results were compared with a conventionally trained MLPNN to examine the effect of the metaheuristic algorithms. Overall, all four models presented a very reliable simulation. However, the SFS-MLPNN (mean absolute error, MAE = 0.0997 and Pearson correlation coefficient, RP = 0.9957) was the most accurate model, followed by the VSA-MLPNN (MAE = 0.1058 and RP = 0.9945), conventional MLPNN (MAE = 0.1062 and RP = 0.9944), and SFO-MLPNN (MAE = 0.1305 and RP = 0.9914). The findings indicated that employing the VSA and SFS results in improving the accuracy of the neural network in the prediction of pan evaporation. Hence, the suggested models are recommended for future practical applications.

Optimization of the Number of Filter in CNN Noise Attenuator (CNN 잡음감쇠기에서 필터 수의 최적화)

  • Lee, Haeng-Woo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.4
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    • pp.625-632
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    • 2021
  • This paper studies the effect of the number of filters in the CNN (Convolutional Neural Network) layer on the performance of a noise attenuator. Speech is estimated from a noised speech signal using a 64-neuron, 16-kernel CNN filter and an error back-propagation algorithm. In this study, in order to verify the performance of the noise attenuator with respect to the number of filters, a program using Keras library was written and simulation was performed. As a result of simulation, it can be seen that this system has the smallest MSE (Mean Squared Error) and MAE (Mean Absolute Error) values when the number of filters is 16, and the performance is the lowest when there are 4 filters. And when there are more than 8 filters, it was shown that the MSE and MAE values do not differ significantly depending on the number of filters. From these results, it can be seen that about 8 or more filters must be used to express the characteristics of the speech signal.

Case study of Oriental Medicine Treatment with Mae-sun therapy of the spinal cord injury due to lumbar burst fracture (방출성 요추 골절로 인한 척수손상 환자에 대해 매선요법을 가미한 한방치료를 시행한 치험례)

  • Kwon, Gi-Sun;Park, Jung-Ah;Noh, Ju-Hwan;Kim, Cheol-Hong
    • Journal of Pharmacopuncture
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    • v.13 no.1
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    • pp.129-144
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    • 2010
  • Objective : Traumatic lumbar burst fracture causes significant spinal cord injury. This report is intended to estimate the efficacy using oriental treatment on a patient with lumbar burst fracture and spinal cord injury. Methods : From 21th December, 2009 to 5th February, 2010, 1 female inpatient diagnosed with lumbar burst fracture and spinal cord injury was treated with general oriental medicine therapy : mae-sun therapy ; acupuncture ; moxibustion ; pharmacopuncture ; physical therapy and herbal medication. TUG, SCIMII and VAS were used for evaluation of gait disturbance and pain in both feet. Measurement of self voiding amount and remaining amount through CIC was used for evaluation of neurogenic vesical dysfunction. Results : The patient showed a certain degree of improvement in gait disturbance, pain in both feet and neurogenic vesical dysfunction through above evaluation methods. Conclusion : Oriental treatments such as mae-sun therapy, acupuncture and moxibustion therapy, pharmacopuncture therapy and herbal medication can be effective for spinal cord injury due to traumatic lumbar burst fracture.

Extraction of Pesticide Residues in Ginseng by Microwave (Microwave를 이용한 인삼 중의 잔류 농약 추출)

  • 김택겸;김장억
    • Journal of Food Hygiene and Safety
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    • v.14 no.4
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    • pp.365-371
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    • 1999
  • Microwave-assisted extraction (MAE) is known as a more environmental-friendly process with economic advantages in terms of less time, less solvent, less energy and less waste than the current reflux method that is time-consuming. MAE was applied to extract three pesticides (quintozene, tolclofos-methyl and procymidone) from ginseng in a pesticide residue analysis and eliminate pesticide contaminants from ginseng prior to production of the ginseng extracts. The optimal conditions for pesticide extraction from ginseng were 50% in power (150 watts), 2 minutes, 20 mL hexane and 2.0 g sample. The results of optimal conditions were compared with those of Soxhlet method (7 hours, 150 mL hexane). The recoveries between two methods were almost same while time and amount of solvent used in MAE were significantly decreased in comparing with those in the Soxhlet methods. When the 45% ethyl alcohol as a extraction solvent was applied to eliminate pesticides from ginseng prior to the production of the ginseng extracts, it was found that 100% quintozene, 69% tolclofos-methyl and 83% procymidone were eliminated from ginseng. The data showed that MAE may be used to eliminate pesticide contaminants in ginseng prior to making the ginseng extracts.

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A Study on Fine Dust Prediction Based on Internal Factors Using Machine Learning (머신러닝을 활용한 내부 발생 요인 기반의 미세먼지 예측에 관한 연구)

  • Yong-Joon KIM;Min-Soo KANG
    • Journal of Korea Artificial Intelligence Association
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    • v.1 no.2
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    • pp.15-20
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    • 2023
  • This study aims to enhance the accuracy of fine dust predictions by analyzing various factors within the local environment, in addition to atmospheric conditions. In the atmospheric environment, meteorological and air pollution data were utilized, and additional factors contributing to fine dust generation within the region, such as traffic volume and electricity transaction data, were sequentially incorporated for analysis. XGBoost, Random Forest, and ANN (Artificial Neural Network) were employed for the analysis. As variables were added, all algorithms demonstrated improved performance. Particularly noteworthy was the Artificial Neural Network, which, when using atmospheric conditions as a variable, resulted in an MAE of 6.25. Upon the addition of traffic volume, the MAE decreased to 5.49, and further inclusion of power transaction data led to a notable improvement, resulting in an MAE of 4.61. This research provides valuable insights for proactive measures against air pollution by predicting future fine dust levels.

A Study on Simple Methodology of Distruction Effects Analysis 3 Dimensional Building Target's by Weapon Systems (무기체계 3차원 건물표적에 대한 간이 파괴효과분석 방법론 연구)

  • Park, Jinho;Choi, Sangyeong;Kim, Yeongho
    • Journal of the Korea Society for Simulation
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    • v.24 no.3
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    • pp.89-96
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    • 2015
  • In order to use missiles more effectively, assessing methodologies was advanced about weapon effects for various target types. We tried to find out the most effective analysis methodologies for missiles to attack 3 dimensional building target's and analyzed adaptedness as an assessing methodology. There are EFD (Expected Fractional Damage) and SSPD (Single Sortie Probability of Damage) methodologies to assess building target damage. In order to calculate effectiveness we used input parameter such as size of the target and CEP (Circular Error Probable), MAE_bldg (Mean Area of Effects for Building) of weapons and impact angle as encountering condition between the target and the missile. We compared EFD and SSPD, in order to analyze adaptedness as a effective methodology by CEP and MAE. The result was that EFD methodology was more adaptive to assess 3 dimensional building targets by missile systems than SSPD.

Chest CT Parameters to Predict the Major Adverse Events in Acute Submassive Pulmonary Embolism (혈역학적으로 안정된 폐색전증 환자에서의 임상적 악화를 예측하는 전산화 단층촬영상 소견)

  • Jung, Sang-Ku;Kim, Won-Young;Lee, Choong-Wook;Seo, Dong-Woo;Lee, Youn-Sun;Lee, Jae-Ho;Oh, Bum-Jin;Kim, Won;Lim, Kyoung-Soo;Hong, Sang-Bum;Lim, Chae-Man;Koh, Youn-Suck
    • Tuberculosis and Respiratory Diseases
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    • v.69 no.3
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    • pp.184-190
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    • 2010
  • Background: The purpose of this study was to determine the prognostic significance of chest computed tomographic (CT) parameters in acute submassive pulmonary embolism (PE). Methods: Between January 2006 and December 2009, 268 consecutive patients with acute submassive PE that was confirmed by chest CT with pulmonary angiography in emergency room were studied. One experienced radiologist measured CT parameters and judged the presence of right ventricular dysfunction. CT parameters were analyzed to determine their ability to predict a major adverse event (MAE). Results: There were 220 patients included and 61 (27.7%) had MAE. Left ventricular and right ventricular maximum minor axis ($36.4{\pm}8.0$ vs. $41.7{\pm}7.4$, p<0.01; $45.7{\pm}9.4$ vs. $41.5{\pm}7.6$, p<0.01), superior vena cava diameter ($19.2{\pm}3.4$ vs. $18.0{\pm}3.4$, p=0.02), azygos vein diameter ($10.0{\pm}2.2$ vs. $9.2{\pm}2.3$, p=0.02), septal displacement (19 vs. 18, p<0.01) were significantly higher in MAE group than in no MAE group. Patients with MAE had high right ventricular/left ventricular dimension ratio (RV/LV ratio) compared to patients without MAE ($1.34{\pm}0.48$ vs. $1.03{\pm}0.28$, p<0.01). The most useful cut-off value of RV/LV ratio for MAE was 1.3 and the area under the curve was 0.71 (0.62~0.79). Conclusion: RV/LV ratio on chest CT was a significant predictor of submassive PE related shock, intubation, in-hospital mortality, thrombolysis, thrombectomy within 30 days.

The Effects of Aerobic Exercise Capacity on Free Oxygen Radical in Blood during Submaximal Exercise in Rowing Ergometer (유산소운동능력의 차이가 로윙에르고미터 최대하 운동시 혈중 활성산소에 미치는 영향)

  • Kang, Shin-Beum;Cha, Hwa-Jun;Ha, Hae-Dong
    • Journal of Navigation and Port Research
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    • v.34 no.10
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    • pp.757-762
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    • 2010
  • The purposes of this study were to examine the effects of aerobic exercise capacity on free oxygen radicals in blood(FORB) during submaximal exercise in rowing ergometer and as for study purposes, a set of experiments were conducted using one group of 6 rowing players(RP) and the other group of 6 non rowing players(NRP) at the maximum heart rate reserve(HRR) 85~90% exercise intensity. Oxygen free radical was sampled 5 times including a rest period(ARP), immediate after exercise(IAE), 10 minutes after exercise(10MAE), 20 minutes after exercise(20MAE) and 30 minutes after exercise(30MAE). Accordingly, following findings were derived from current study. The effects of interaction between groups and times were significant in oxygen free radical(p<.05) and post hoc tests revealed that significant differences occurred between 10MAE and 20MAE and between 20MAE and 30MAE. In conclusion, the aerobic exercise capacity excellence RP group had more positive recovery pattern than that in the NRP group from FORB of negative influence to the human body