• Journal of information and communication convergence engineering
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• v.5 no.1
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• pp.50-53
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• 2007

This paper presents face features detection and a new physiological neuro-fuzzy learning method by using two-dimensional variances based on variation of gray level and by learning for a statistical distribution of the detected face features. This paper reports a method to learn by not using partial face image but using global face image. Face detection process of this method is performed by describing differences of variance change between edge region and stationary region by gray-scale variation of global face having featured regions including nose, mouse, and couple of eyes. To process the learning stage, we use the input layer obtained by statistical distribution of the featured regions for performing the new physiological neuro-fuzzy algorithm.

• Journal of the Korean Institute of Intelligent Systems
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• v.12 no.2
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• pp.144-150
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• 2002

In this paper a design of neuro-fuzzy-based predictive controller for nonlinear systems with time-delay is proposed. The proposed control system contains two neuro-fuzzy systems called ANFIS(Adaptive Neuro-Fuzzy Inference System). One is run as a series-parallel mode and the other is run as a parallel mode. An ANFIS running in series-parallel mode emulates the response of the nonlinear system with time-delay. Another ANFIS running in parallel mode generates the predicted output of the nonlinear system to compensate for the time-delays. Therefore, the proposed control system can be thought of as an extension of Smith-predictor scheme to the nonlinear systems with time-delay. A detailed design Procedure is presented and finally computer simulations are executed for the effectiveness of the proposed control scheme.

• The Transactions of the Korea Information Processing Society
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• v.13 no.2
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• pp.13-17
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• 2024

In this paper, union-based rule antecedent neuro-fuzzy controller, which can guarantee a parsimonious knowledge base with reduced number of rules, is proposed. The proposed neuro-fuzzy controller allows union operation of input fuzzy sets in the antecedents to cover bigger input domain compared with the complete structure rule which consists of AND combination of all input variables in its premise. To construct the proposed neuro-fuzzy controller, we consider the multiple-term unified logic processor (MULP) which consists of OR and AND fuzzy neurons. The fuzzy neurons exhibit learning abilities as they come with a collection of adjustable connection weights. In the development stage, the genetic algorithm (GA) constructs a Boolean skeleton of the proposed neuro-fuzzy controller, while the stochastic reinforcement learning refines the binary connections of the GA-optimized controller for further improvement of the performance index. An inverted pendulum system is considered to verify the effectiveness of the proposed method by simulation and experiment.

• Journal of Convergence for Information Technology
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• v.8 no.6
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• pp.15-20
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• 2018

This study aimed to find an effective intervention measure through establishing the correlation between self-regulation (control over life style) and height growth through neuro-feedback training. 40 elementary students in grades two to four with height growth programs (20 experimental group students, 20 control group students) were examined for the changes before and after undergoing neuro-feedback training. The experiment lasted for three months with one 30-minute training session two times a week. After analyzing the differences in self-regulation among the control group with no neuro-feedback training and the experimental group with neuro-feedback training, the differences in height growth were analyzed. First of all, there were positive changes in self-regulation of the experimental group compared with the control group. Secondly, the experimental group showed larger changes in height growth. In conclusion, neuro-feedback training had positive effects upon the self-regulation that adjusts the acquired factors of height growth, which led to positive effects.

• Bulletin of the Korean Chemical Society
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• v.32 no.6
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• pp.2008-2014
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• 2011

Serotonin or 5-hydroxytryptamine subtype 2C ($5-HT_{2C}$) receptor belongs to class A amine subfamily of G-protein-coupled receptor (GPCR) super family and its ligands has therapeutic promise as anti-depressant and -obesity agents. So far, bovine rhodopsin from class A opsin subfamily was the mostly used X-ray crystal template to model this receptor. Here, we explained homology model using beta 2 adrenergic receptor (${\beta}$2AR), the model was energetically minimized and validated by flexible ligand docking with known agonists and antagonists. In the active site Asp134, Ser138 of transmembrane 3 (TM3), Arg195 of extracellular loop 2 (ECL2) and Tyr358 of TM7 were found as important residues to interact with agonists. In addition to these, V208 of ECL2 and N351 of TM7 was found to interact with antagonists. Several conserved residues including Trp324, Phe327 and Phe328 were also found to contribute hydrophobic interaction. The predicted ligand binding mode is in good agreement with published mutagenesis and homology model data. This new template derived homology model can be useful for further virtual screening based lead identification.

• Bulletin of the Korean Chemical Society
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• v.35 no.8
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• pp.2304-2310
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• 2014

The synthesis and in vivo evaluation of 5-methoxy-2-(phenylethynyl)quinoline (MPEQ) 3 as a potential mGluR5 selective radioligand is described. We have identified MPEQ 3 exhibiting the analgesic effect in the neuropathic pain animal model. The effect of mGluR5 on neuronal activity in rat brain was evaluated through FDG/PET imaging in the presence of MPEQ 3. In addition, the PET study of [$^{11}C$]MPEQ 3 proved that accumulation of [$^{11}C$]MPEQ 3 in rat brain was correlated to the localization of the mGluR5.

• Bulletin of the Korean Chemical Society
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• v.32 no.6
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• pp.2015-2020
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• 2011

A series of isoxazol-indolin-2-one was designed for GSK-3${\beta}$ inhibitors as novel anticancer agents based on their binding mode analysis in GSK-3${\beta}$ crystal structure. Total 21 compounds were synthesized and evaluated for their inhibitory activity against two tumor cell lines (DU145 and HT29). Most of the synthesized compounds were potent with above 80% inhibitory activity at 100 ${\mu}M$, and several compounds were examined for inhibitory activity against GSK-3${\beta}$. Among them, 15(Z) ($R_1$=H, $R_2$=3-Cl-phenyl) was most active with 78% inhibition of tumor cell line (HT29) at 20 ${\mu}M$ and 72% inhibition of GSK-3${\beta}$ at 20 ${\mu}M$.

• The Korean Journal of Pain
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• v.20 no.2
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• pp.181-185
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• 2007

Background: The first pain clinic opened in korea in 1973 at Yonsei University Hospital, however, since then the number of pain clinics has gradually increased, as has the number of patients visiting them. This increase in patient has caused concerns about the way in which pain is managed, therefore, we conducted a retrospective review of data according to the sex, age and disease in an attept to aid us in planning for the future of our pain clinic. Methods: We analyzed 1,282 new patients who had visited our pain clinic and 828 inpatients who were admitted to our pain clinic between March 2006 and February 2007. Results: The most frequent age group was in the sixties in outpatient and in the seventies in inpatient. In addition, the incidence of disease in new patients and inpatients was as follows: in new patients, lumbar herniated intervertebral disc 16.5%, hyperhidrosis 12.3%, cervical disc disorder 10.5%, acute herpes zoster 8.2%, postherpetic neuralgia 7.9%, and trigeminal neuralgia 7.0%; in admitted patients, acute herpes zoster 17.6%, trigeminal neuralgia 15.6%, lumbar herniated intervertebral disc 13.0%, postherpetic neuralgia 11.2%, hyperhidrosis 9.8%, and complex regional pain syndrome 7.0%. Conclusions: The patients visiting our pain clinic have presented with a wide variety of diseases. This improved care reflects an effort to expand our fields not only to the management of outpatients but also inpatients, as well as to the treatment of new fields of disease. In the future, We need to manage various pain patients not only in outpatients but also in inpatients to expand our field even through pain clinic is rapidly growing in Korea.

• Journal of Korean Neurosurgical Society
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• v.52 no.5
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• pp.488-490
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• 2012

Behçet's disease (BD) is an inflammatory systemic disorder with oral and genital ulcers, as well as ophthalmologic and cutaneous symptoms. Neurological manifestations in BD represent between 2.2% to 50% of the cases. The 25-year-old male patient, diagnosed with BD three years earlier, was admitted to our clinic with complaints of recurrent headaches. Tumor-like-parenchimal involvement was detected on a cranial magnetic resonance imaging. The lesion was removed surgically and then he suffered from right hemiparesis and epilepsy. Pathological examination of the lesion noted a demyelinating non-tumoural etiology. A neuro-Beh$\check{g}$et's case with parenchymal involvement has been examined in light of the literature, in terms of a tumor and a demyelinating disease differential diagnosis.

• Structural Engineering and Mechanics
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• v.51 no.2
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• pp.249-265
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• 2014

The mechanical characteristics of materials are very essential in structural analysis for the accuracy of structural calculations. The estimation modulus of elasticity of concrete ($E_c$), one of the most important mechanical characteristics, is a very complex area in terms of analytical models. Many attempts have been made to model the modulus of elasticity through the use of experimental data. In this study, the neuro-fuzzy (NF) technique was investigated in estimating modulus of elasticity of concrete and a new simple NF model by implementing a different NF system approach was proposed. A large experimental database was used during the development stage. Then, NF model results were compared with various experimental data and results from several models available in related research literature. Several statistic measuring parameters were used to evaluate the performance of the NF model comparing to other models. Consequently, it has been observed that NF technique can be successfully used in estimating modulus of elasticity of concrete. It was also discovered that NF model results correlated strongly with experimental data and indicated more reliable outcomes in comparison to the other models.