• International Journal of Industrial Entomology and Biomaterials
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• v.5 no.2
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• pp.213-216
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• 2002

Food consumption and conversion efficiency of new bivoltine hybrids (CSR2$\times$CSR4 and CSR2$\times$CSR5) were studied under restricted feeding levels (10, 20 and 30% less quantity of mulberry leaves). The data were compared with a control fed with standard quantum of feed as per the recommendation. The nutritional indices parameters i. e. ingests, digesta, approximate digestibility (%) and reference ratio were recorded higher in control batches compared to less feed batches while nutritional efficiency parameters i. e., ECI and ECD to cocoon and shell were recorded significantly higher in restricted feeding level batches. This increase is attributed due to the physiological adaptation under nutritional stress condition.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.492-495
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• 2003

Fuzzy Min-Max Neural Network(FMMNN) is a powerful classifier, It has, however, some problems. Learning result depends on the presentation order of input data and the training parameter that limits the size of hyperbox. The latter problem affects the result seriously. In this paper, the new approach to alleviate that without loss of on-line learning ability is proposed. The committee machine is used to achieve the multi-resolution FMMNN. Each expert is a FMMNN with fixed training parameter. The advantages of small and large training parameters are used at the same time. The parameters are selected by performance and independence measures. The Decision of each expert is guided by the gating network. Therefore the regional and parametric divide and conquer scheme are used. Simulation shows that the proposed method has better classification performance.

• Computers and Concrete
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• v.17 no.4
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• pp.489-498
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• 2016

In this paper, the flexural strength ($f_{fs}$) and splitting tensile strength ($f_{sts}$) of concrete containing different proportions of fly ash have been modeled by using gene expression programming (GEP). Two GEP models called GEP-I and GEP-II are constituted to predict the $f_{fs}$ and $f_{sts}$ values, respectively. In these models, the age of specimen, cement, water, sand, aggregate, superplasticizer and fly ash are used as independent input parameters. GEP-I model is constructed by 292 experimental data and trisected into 170, 86 and 36 data for training, testing and validating sets, respectively. Similarly, GEP-II model is constructed by 278 experimental data and trisected into 142, 70 and 66 data for training, testing and validating sets, respectively. The experimental data used in the validating set of these models are independent from the training and testing sets. The results of the statistical parameters obtained from the models indicate that the proposed empirical models have good prediction and generalization capability.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.2521-2525
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• 2005

In this paper, we presented a predictive control technique, which is based on wavelet neural network (WNN), for the control of chaotic systems whose precise mathematical models are not available. The WNN is motivated by both the multilayer feedforward neural network definition and wavelet decomposition. The wavelet theory improves the convergence of neural network. In order to design predictive controller effectively, the WNN is used as the predictor whose parameters are tuned by error between the output of actual plant and the output of WNN. Also the training method for the finding a good WNN model is the Extended Kalman algorithm which updates network parameters to converge to the reference signal during a few iterations. The benefit of EKF training method is that the WNN model can have better accuracy for the unknown plant. Finally, through computer simulations, we confirmed the performance of the proposed control method.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.10a
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• pp.985-988
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• 2004

This paper proposes a new training system for equilibrium sense and postural control using unstable platform and force plate. This system consists of unstable platform, force plate, computer interface, software and the computer. Using this system and training programs, we perform the experiment to train the equilibrium sense and postural control of subject. To evaluate the effects of balance training, we measured some parameters such as the maintaining time in the target, the moving time to the target and the mean absolute deviation of the trace before and after training. The result shows that this system can improve the equilibrium sense and balance ability of subject. This study shows that proposed system had an effect on improving equilibrium sense and postural control and might be applied to clinical rehabilitation training as a new effective balance training system.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.2
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• pp.783-786
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• 2015

Background: Utilizing geriatric screening tools for the identification of vulnerable older patients with cancer is important. The aim of this study is to evaluate the hospitalization risk of elderly hematologic cancer patients based on geriatric assessment and laboratory parameters. Materials and Methods: In this cross sectional study 61 patients with hematologic malignancies, age 65 years and older, were assessed at a hematology outpatient clinic. Standard geriatric screening tests; activities of daily living (ADL), instrumental activities of daily living (IADL), Mini Nutritional Assessment (MNA), Mini Mental State Examination (MMSE), timed up and go test (TUG), geriatrics depression scale (GDS) were administered. Demographic and medical data were obtained from patient medical records. The number of hospitalizations in the following six months was then recorded to allow analysis of associations with geriatric assessment tools and laboratory parameters. Results: The median age of the patients, 37 being males, was 66 years. Positive TUG test and declined ADL was found as significant risk factors for hospitalization (p=0.028 and p=0.015 respectively). Correlations of hospitalization with thrombocytopenia, vitamin B12 and folic acid deficiency were statistically significant (p=0.004, p=0.011 and p=0.05 respectively). Conclusions: In this study, geriatric conditions which are usually unrecognized in a regular oncology office visit were identified. Our study indicates TUG and ADL might be use as predictive tests for hospitalization in elderly oncology populations. Also thrombocytopenia, and vitamin B12 and folic acid deficiencies are among the risk factors for hospitalization. The importance of vitamin B12 and folic acid vitamin replacement should not be underestimated in this population.

• International Journal of Industrial Entomology and Biomaterials
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• v.6 no.2
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• pp.163-169
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• 2003

Studies were conducted on the effect of pruning time, host age, conidial dispersal and weather parameters on the incidence and severity of mulberry leaf spot (Myrothecium roridum). The disease severity (%) increased with increase in shoot age irrespective of pruning date. Maximum disease severity was observed in plants pruned during first week of April and minimum disease severity in plants pruned during first week of March. Significant (P ＜ 0.01) influence of date of pruning, shoot age and their interaction was observed on severity of the disease. Apparent infection rate (r) was significantly higher during the plant growth period from day 48 to day 55. Average apparent yale was higher in plants pruned during first week of April and least in plants pruned during first week of July. The disease infection was negatively correlated to distance from the inoculum source. Leaf spot severity (%) was influenced by weather parameters. Multiple regression analysis revealed contribution of various combinations of weather parameters on the disease severity. Linear prediction model $(Y ＝ －81.803＋1.176x_2＋0.765x_3) with significant $R^2$ was developed for prediction of the disease under natural epiphytotic condition.

• Design & Manufacturing
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• v.14 no.3
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• pp.1-7
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• 2020

This paper predicts the mass and the length of injection-molded products through the Artificial Neural Network (ANN) method. The ANN was implemented with 5 input parameters and 2 output parameters(mass, length). The input parameters, such as injection time, melt temperature, mold temperature, packing pressure and packing time were selected. 44 experiments that are based on the mixed sampling method were performed to generate training data for the ANN model. The generated training data were normalized to eliminate scale differences between factors to improve the prediction performance of the ANN model. A random search method was used to find the optimized hyper-parameter of the ANN model. After the ANN completed the training, the ANN model predicted the mass and the length of the injection-molded product. According to the result, average error of the ANN for mass was 0.3 %. In the case of length, the average deviation of ANN was 0.043 mm.

• Physical Therapy Rehabilitation Science
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• v.10 no.3
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• pp.270-277
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• 2021

Objective: The purpose of this study is to compare the effect of static balance, lower extremity function, and gait ability between a lower extremity restrain robot gait training and a general robot gait training in subacute stroke subjects. Design: Two-group pretest-posttest design. Methods: A total of 12 subacute stroke patients were randomly divided into an Experimental group (n=6) and a control group (n=6). Both groups were performed for four weeks, three times a week, for 20 minutes. To compare the Static balance function, the center of pressure (COP) path-length and COP velocity were measured. The Fugl-Meyer assessment lower extremity (FMA-LE) were evaluated to compare the Lower Extremity function. 2D Dartfish Program and 10 Meter Walking Test (10 MWT) on Gait ability were evaluated to compare the gait function. Results: In the intra-group comparison, Experimental groups showed significant improvement in COP path-length, velocity, Lower Extremity Function, 10 MWT, Cadence, by comparing the parameters before and after the intervention (p<0.05). Comparison of the amount of change between groups revealed significant improvement for parameters in the COP path-length, velocity, Lower extremity function, 10 MWT by comparing the parameters before and after the intervention (p<0.01). Conclusions: The Experimental group showed enhanced efficacy for variables such as COP path-length, velocity, Lower extremity function, 10 MWT as compared to the control group.

• The Journal of Korean Physical Therapy
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• v.34 no.3
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• pp.98-103
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• 2022

Purpose: New therapeutic approaches have emerged to improve gait ability in patients with brain damage, such as action observation learning (AOT), auditory cueing, motor imagery etc. We attempted to investigate the effects of AOT with auditory cueing (AOTAC) on gait function in patients with stroke. Methods: The eighteen stroke patients with a unilateral hemiparesis were randomly divided into three groups; the AOTAC, AOT, and control groups. The AOTAC group (n=8) received training via observing a video that showed normal gait with sound of footsteps as an auditory cue; the AOT group (n=6) receive action observation without auditory stimulation; the control group (n=5) observed the landscape video image. Intervention time of three groups was 30 minutes per day, five times a week, for four weeks. Gait parameters, such as cadence, velocity, stride length, stance phase, and swing phase were collected in all patients before and after each training session. Results: Significant differences were observed among the three groups with respect to the parameters, such as cadence, velocity, stride length, and stance/swing phase. Post-hoc analysis indicated that the AOTAC group had a greater significant change in all of parameters, compared with the AOT and control groups. Conclusion: Our findings suggest that AOTAC may be an effective therapeutic approach to improve gait symmetry and function in patients with stroke. We believe that this effect is attributable to the change of cortical excitability on motor related to cortical areas.