• The Transactions of the Korean Institute of Electrical Engineers A
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• v.52 no.12
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• pp.722-730
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• 2003

Current differential relay is commonly used to protect power transformer. However, current differential relay will be tripod by judging like internal fault during inrush occurring in transformer. To resolve such problem, this paper proposes a new protective relaying algorithm using Neuro-Fuzzy Inference. A variety of transformer transition states are simulated by BCTRAN and HYSDT of EMTP. Primary phase voltage and differential current are obtained from simulation. The target data which are used in Neuro-Fuzzy algorithm are obtained from transformed primary voltage and current. Then, these are trained by Neuro-Fuzzy algorithm. The trained Neuro-Fuzzy algorithm correctly distinguishes whether internal fault occurs or not, within 1/2 cycle after fault. Accordingly, it is evaluated that the proposed algorithm has good relaying characteristics.

• The Korean Journal of Pain
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• v.8 no.1
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• pp.60-64
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• 1995

Stellate ganglion block is a selective sympathetic blockade affecting the head and neck, and the upper extemity. It is an important method which has been used most frequently in neuro-pain clinic due to its wide range of indications. The authors attermpted to define the minimal volume of local anesthetic which need for successful stellate ganglion block by using 1% mepivacaine HCl mixed with dye. In 40 heathy volunteers, two different volumes, 3 ml in the group 1 (n=20) and 4 ml in the group 2 (n=20), were injected by an anterior paratracheal technique at the sixth cervical vertebral level. We compared the degree in sympathetic blockade by clinical sings and symptoms and also checked the spread range of dye by plain X-ray. With seven criteria for an effective block. mean score was 5.7 in group 2, while 3.4 in group 1. These results suggest that 4 ml of local anesthetic are adequate for a successful stellate ganglion block.

• The Korean Journal of Pain
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• v.8 no.2
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• pp.304-307
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• 1995

1,666 patients treated by nerve block from September 1994 to August 1995 we statistically analyzed according to sex, age, diseases, and kinds of nerve blocks. Most patients were in the range from 30 to 60 year old, with a distribution of 43.9% male and 56.1% female. Diseases and ailments were as follows: low back pain 30.6%, frozen shoulder 14.0%, facial spasm 10.0%, cervical syndrome 9.7%, headache 7.3%, and hyperhidrosis 7.2%. Most common nerve blocks were stellate ganglion block 30.9%, epidural block 25.6%, trigger point injection 16.1%, and suprascapular nerve block 6.7%. Nerve blocks under fluoroscopic guide were as follows: facet joint block 28.6%, spinal root block 22.9%, thoracic sympathetic ganglion block 21.7%, and lumbar sympathetic ganglion block 15.4%.

• The Korean Journal of Pain
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• v.9 no.1
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• pp.89-93
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• 1996

Hemifacial spasm commonly occurs in muscles about the eye, but may also involve or spread to the entire side of the face. One hundred and seventy eight patients with hemifacial spasm visited our Neuro-Pain clinic from January 1992 to April 1996. There were 121 female and 57 male patients, a 2.1:1 ratio respectively. Largest percentages of patients were in the 50 year old range. Among them, 96 patients were treated by facial nerve block or O'Brien block. In most cases, induced facial palsy disappeared within one or two months. Among the 96 patients who received nerve block, 46 patients received a second block within 5 to 24 months. The average interval from first and second nerve block was 11.5 months. After nerve block, all patients were free from spasm for 1 to 21 months. We conclude that facial nerve block is a satisfactory and reliable method for the treatment of facial spasm.

• The Korean Journal of Pain
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• v.9 no.1
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• pp.268-270
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• 1996

We treated a patient who experienced motor weakness and sensory change on left lower extremity after thoracic sympathetic ganglion block with pure alcohol. The following factors were suspected of contributing to neurologic complication: (1) ischemia of spinal cord, (2) infection, (3) re-expression and aggravation of pre-existing neurologic disease, (4) improper position. Patient spontaneously recovered from neurologic complication with conservative therapy.

• Journal of Life Science
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• v.19 no.4
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• pp.449-456
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• 2009

Murine Neuro-2a (N2a) cells have been widely used for the investigation of neuronal differentiation, trophic interaction and neurotoxic effects of various compounds and their associated mechanisms. N2a cells have many genomic variations such as gains or losses in DNA copy number, similar to other neuroblastoma cells, and no systematic or high-resolution studies of their genome-wide chromosomal aberrations have been reported. Presently, we conducted a systematic genome-wide determination of chromosomal aberrations in N2a cells using a high-throughput, oligonucleotide array-based comparative genomic hybridization (oaCGH) technique. A hidden Markov Model was employed to assign each genomic oligonucleotide to a DNA copy number state: double loss, single loss, normal, gain, double gain and amplification. Unlike most neuroblastoma cells, Mycn amplification was not observed in N2a cells. In addition, these cells showed gain only in the neuron-derived neurotrophic factor (NF), while other neurotrophic factors such as glial line-derived NF and brain-derived NF presented normal copy numbers. Chromosomes 4, 8, 10, 11 and 15 displayed more than 1000 aberrational oligonucleotides, while chromosomes 3, 17, 18 and 19 displayed less than 20. The largest region of gain was located on chromosome 8 and its size was no less than 26.7 Mb (Chr8:8427841-35162415), while chromosome 4 had the longest region of single deletion, with a size of 15.1 Mb (Chr4:73265785-88374165).

• The Korean Journal of Pain
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• v.14 no.1
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• pp.118-122
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• 2001

Complex regional pain syndrome type I of vascular origin is difficult to detect unless the classic symptoms and signs exist and/or overt extremity trauma has precipitated the pain. The diagnosis is confirmed by relief of pain following a sympathetic nerve blockade. A 36-year-old woman with arterial occlusive disease of the right lower extremity presented with burning pain and hyperesthesia after sprain had occurred which was accompanied by motor weakness of right ankle. A lumbar sympathetic ganglion blockade with 2% lidocaine 10 ml and triamcinolone 80 mg produced prompt improvement of the pain and motion.

• Journal of Advanced Marine Engineering and Technology
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• v.24 no.2
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• pp.72-81
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• 2000

In this paper, we design an adaptive neuro-fuzzy inference system(ANFIS) precompensator for load frequency control of 2-area power systems. While proportional integral derivative (PID) controllers are used in power systems, they may have some problems because of high nonlinearities of the power systems. So, a neuro-fuzzy-based precompensation scheme is incorporated with a convectional PID controller to obtain robustness to the nonlinearities. The proposed precompensation technique can be easily implemented by adding a precompensator to an existing PID controller. The applied neruo-fuzzy inference system precompensator uses a hybrid learning algorithm. This algorithm is to use both a gradient descent method to optimize the premise parameters and a least squares method to solve for the consequent parameters. Simulation results show that the proposed control technique is superior to a conventional Ziegler-Nichols PID controller in dynamic responses about load disturbances.

• Journal of the Korean Society for Precision Engineering
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• v.15 no.3
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• pp.107-118
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• 1998

Two-phase neuro-system identification method is presented. The 1$^{st}$-phase identification uses conventional neural network mapping for modeling an input-output system. The 2$^{nd}$ -phase modeling is also performed sequentially using the 1$^{st}$-phase modeling errors. In the 2$^{nd}$ a phase modeling, newly generated input signals, which are obtained by summing the 1st-phase modeling error and artificially generated uniform series, are utilized as system's I-O mapping elements. The 1$^{st}$-phase identification is interpreted as a “Real Model” system identification because it uses system's real data(i.e., observations and control inputs) while the 2$^{nd}$ -phase identification as a “Artificial Model” identification because of using artificial data. Experimental results are given to verify that the two-phase neuro-system identification could reduce the overall modeling errors.rrors.

• Smart Structures and Systems
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• v.16 no.6
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• pp.1107-1132
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• 2015

A damage detection algorithm based on neuro fuzzy hybrid system is presented in this study for location and severity predictions of cracks in beam-like structures. A combination of eigenfrequencies and rotation deviation curves are utilized as input to the soft computing technique. Both single and multiple damage cases are considered. Theoretical expressions leading to modal properties of damaged beam elements are provided. The beam formulation is based on Euler-Bernoulli theory. The cracked section of beam is simulated employing discrete spring model whose compliance is computed from stress intensity factors of fracture mechanics. A hybrid neuro fuzzy technique is utilized to solve the inverse problem of crack identification. Two different neuro fuzzy systems including grid partitioning (GP) and subtractive clustering (SC) are investigated for the highlighted problem. Several error metrics are utilized for evaluating the accuracy of the hybrid algorithms. The study is the first in terms of 1) using the two models of neuro fuzzy systems in crack detection and 2) considering multiple damages in beam elements employing the fused neuro fuzzy procedures. At the end of the study, the developed hybrid models are tested by utilizing the noise-contaminated data. Considering the robustness of the models, they can be employed as damage identification algorithms in health monitoring of beam-like structures.