• Title/Summary/Keyword: Treatment difficulty

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Adaptation of Clustering Method to FNN for Performance Improvement (FNN 성능개선을 위한 클러스터링기법의 적용)

  • 최재호;박춘성;오성권;안태천
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1997.10a
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    • pp.135-138
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    • 1997
  • In this paper, we proposed effective modeling method to nonlinear complex system. Fuzzy Neural Network(FNN) was used as basic model. FNN was fused of Fuzzy Inference which has linguistic property and Neural Network which has learning ability and high tolerence level. This paper, we used FNN which was proposed by Yamakawa. The FNN used Simple Inference as fuzzy inference method and Error Back Propagation Algorithm as learning rule. This structure has better property than other structure at learning speed and convergence ability. But it has difficulty at definition of membership function. We used Hard c-Mean method to overcome this difficulty. To evaluate proposed method. We applied the proposed method to waste water treatment process. We obtained better performance than conventional model.

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Psychosocial Adjustment in Korean Colorectal Cancer Survivors

  • Sun, Hyejin;Lee, Jia
    • Journal of Korean Academy of Nursing
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    • v.48 no.5
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    • pp.545-553
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    • 2018
  • Purpose: The increasing survival rate of colorectal cancer demands various nursing interventions and continuous care for patients to adapt to their psychosocial daily lives. The purpose of this study was to identify factors associated with psychosocial adjustment in colorectal cancer survivors. Methods: A cross-sectional descriptive study with face-to-face interviews was conducted of 156 colorectal cancer survivors after surgery visiting an outpatient cancer clinic at a tertiary hospital in S city, Korea. Posttraumatic growth, health-promoting behavior, length of treatment, difficulty in activities of daily living, and having a stoma were entered into the linear regression model. Results: The strongest factor influencing the level of psychosocial adjustment was health-promoting behavior (${\beta}=.33$, p<.001), followed by difficulty in activities of daily living (${\beta}=-.24$, p=.001), posttraumatic growth (${\beta}=.20$, p=.004), and having a stoma (${\beta}=-.19$, p=.004). Conclusion: Nursing interventions for psychosocial adjustment in colorectal cancer survivors need to include the contents for posttraumatic growth, as well as health-promoting behavior, and activities of daily living.

Two Cases of Prolonged Mutation Difficulty Treated by Pressure Method (압박법으로 교정한 변성기장애지속증)

  • 문영일
    • Proceedings of the KOR-BRONCHOESO Conference
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    • 1983.05a
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    • pp.11.1-11
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    • 1983
  • Mutation consisted of abrupt and uncontrolled rises and falls in vocal pitch due to poor coordination of the laryngeal musculature associated with general bodily growth. The male voice drops about 10 semitones after mutation period but the female voice drops about 2 semitones. Symptoms of abnormal voice mutation are many variations in the voice. Sometimes the voice is a true falsetto, high and thin. The au thor experienced two male cases of prolonged mutation difficulty treated by pressure method. The result were excellent with simple maneuver. The author reported the result of treatment for two cases and reviewed the literatures.

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Clinical study of the two cases of the Hyperemesis (임신오조 2례에 대한 임상적 고찰)

  • Cho Seong-Hee;Ban Hye-Ran
    • Herbal Formula Science
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    • v.12 no.2
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    • pp.213-220
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    • 2004
  • Background: We had treatment for two cases of Hyperemesis Gravidarum . they had difficulty in taking herbal medcine(Gamibosengtang), because of bitter taste and increased nausea and vomiting. So We used acupuncture treatment for increasing of taking herbal medicine and reduction of nausea and vomiting. Methods: The patients estimated their dgree of chief complain on a visual analogue scale and change of oral intake and change of frequency of vomiting. Result: Herbal treatment andacupuncture treatment was efficacious for Hyperemesis Gravidarum. Conclusion: More study fo herbal medicine is needed because of bitter taste.

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Determination of dosing rate for water treatment using fusion of genetic algorithms and fuzzy inference system (유전알고리즘과 퍼지추론시스템의 합성을 이용한 정수처리공정의 약품주입률 결정)

  • 김용열;강이석
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.952-955
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    • 1996
  • It is difficult to determine the feeding rate of coagulant in water treatment process, due to nonlinearity, multivariables and slow response characteristics etc. To deal with this difficulty, the fusion of genetic algorithms and fuzzy inference system was used in determining of feeding rate of coagulant. The genetic algorithms are excellently robust in complex operation problems, since it uses randomized operators and searches for the best chromosome without auxiliary information from a population consists of codings of parameter set. To apply this algorithms, we made the look up table and membership function from the actual operation data of water treatment process. We determined optimum dosages of coagulant (PAC, LAS etc.) by the fuzzy operation, and compared it with the feeding rate of the actual operation data.

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Dental treatment in patients with severe gag reflex using propofol-remifentanil intravenous sedation

  • Shin, Sooil;Kim, Seungoh
    • Journal of Dental Anesthesia and Pain Medicine
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    • v.17 no.1
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    • pp.65-69
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    • 2017
  • Patients with severe gag reflex (SGR) have difficulty getting the treatment they require in local clinics, and many tend to postpone the start of their treatment. To address this problem, dentists have used behavioral techniques and/or pharmacological techniques for treatment. Among the pharmacological methods available, propofol IV sedation is preferred over general anesthesia because it is a simpler procedure. Propofol in combination with remifentanil is characterized by stable sedative effects and quick recovery, leading to a deep sedation. Remifentanil acts to reduce the pain caused by lipid-soluble propofol on injection. The synergistic effects of propofol-remifentanil include reduction in the total amount of drug required to achieve a desired sedation level and anti-emetic effects. In this case report, we outline how the use of propofol-remifentanil IV sedation enabled us to successfully complete a wide range of dental treatments in a patient with SGR.

OBET: O-Ring, Bioenergy Test for Diagnosis and Treatment of Tumors (종양의 진단과 치료가 가능한 오베트(OBET:O-Ring, Bioenergy Test)진단법)

  • Hwang, Uei-Hyun;Han, Jong-Hyun
    • THE JOURNAL OF KOREAN ORIENTAL ONCOLOGY
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    • v.6 no.1
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    • pp.149-163
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    • 2000
  • The cells that make up the body continuously undergo cell division to maintain life, but stress and carcinogens, and physiological stimuli suppress immunological functions in the body and change cells to cancerous cells. The only way to overcome cancer is by treatment through early detection and proper diagnosis. However, because early stage of cancer shows subjective symptoms that are similar to those of other common illnesses, even doctors have difficulty separating cancer from common illnesses in its early stage. However, the Ki(bioenergy) present in our body recognizes and changes to the most minute changes in the body. This method of detecting the change in bioenergy to discover a disease in the early stage to raise treatment success is called the OBET: O-Ring, Bioenergy Test. This method, which is based on the theories of oriental medicine, focuses on tumors, especially malignant tumors, and has shown value in diagnosis and treatment, as witnessed in the clinical applications. The diagnosis method and cases of OBET: O-Ring, Bioenergy Test are presented.

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A Study on the Determination of Dosing Rate for the Water Treatment using Genetic-Fuzzy (유전-퍼지를 이용한 정수장 응집제 주입률 결정에 관한 연구)

  • 김용열;강이석
    • Journal of Institute of Control, Robotics and Systems
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    • v.5 no.7
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    • pp.876-882
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    • 1999
  • It is difficult to determine the feeding rate of coagulant in the water treatment process, due to nonlinearity, multivariables and slow response characteristics, etc. To deal with this difficulty, the genetic-fuzzy system was used in determining the feeding rate of the coagulant. The genetic algorithms are excellently robust in complex optimization problems. Since it uses randomized operators and searches for the best chromosome without auxiliary informations from a population consists of codings of parameter set. To apply this algorithms, we made the lookup table and membership function from the actual operation data of the water treatment process. We determined optimum dosages of coagulant(LAS) by the fuzzy operation, and compared it with the feeding rate of the actual operation data.

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A Study on the Coagulant Dosage Control in the Water Treatment Using Real Number Genetic-Fuzzy (실수형 유전-퍼지를 이용한 정수장 응집제주입제어에 관한 연구)

  • Kim, Yong-Yeol;Kang, E-Sok
    • Journal of Korean Society of Water and Wastewater
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    • v.18 no.3
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    • pp.312-319
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    • 2004
  • The optimum dosage control is presumably the goal of every water treatment plant. However it is difficult to determine the dosage rate of coagulant, due to nonlinearity, multivariables and slow response characteristics, etc. To deal with this difficulty, the real number genetic-fuzzy system was used in determining the dosage rate of the coagulant. The genetic algorithms are excellently robust in complex optimization problems. Since it uses randomized operators and searches for the best chromosome without auxiliary informations from a population which consists of codings of parameter set. To apply this algorithms, we made the real number rule table and membership function from the actual operation data of the water treatment plant. We determined optimum dosages of coagulant(LAS) using the fuzzy operation and compared them with the dosage rate of the actual operation data.

A Study on Coagulant Feeding Control of the Water Treatment Plant Using Intelligent Algorithms (지능알고리즘에 의한 정수장 약품주입제어에 관한 연구)

  • 김용열;강이석
    • Journal of Institute of Control, Robotics and Systems
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    • v.9 no.1
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    • pp.57-62
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    • 2003
  • It is difficult to determine the feeding rate of coagulant in the water treatment plant, due to nonlinearity, multivariables and slow response characteristics etc. To deal with this difficulty, the genetic-fuzzy system genetic-equation system and the neural network system were used in determining the feeding rate of the coagulant. Fuzzy system and neural network system are excellently robust in multivariables and nonlinear problems. but fuzzy system is difficult to construct the fuzzy parameter such as the rule table and the membership function. Therefore we made the genetic-fuzzy system by the fusion of genetic algorithms and fuzzy system, and also made the feeding rate equation by genetic algorithms. To train fuzzy system, equation parameter and neural network system, the actual operation data of the water treatment plant was used. We determined optimized feeding rates of coagulant by the fuzzy system, the equation and the neural network and also compared them with the feeding rates of the actual operation data.