• Title/Summary/Keyword: combination function

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An improved plasma model by optimizing neuron activation gradient (뉴런 활성화 경사 최적화를 이용한 개선된 플라즈마 모델)

  • 김병환;박성진
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.20-20
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    • 2000
  • Back-propagation neural network (BPNN) is the most prevalently used paradigm in modeling semiconductor manufacturing processes, which as a neuron activation function typically employs a bipolar or unipolar sigmoid function in either hidden and output layers. In this study, applicability of another linear function as a neuron activation function is investigated. The linear function was operated in combination with other sigmoid functions. Comparison revealed that a particular combination, the bipolar sigmoid function in hidden layer and the linear function in output layer, is found to be the best combination that yields the highest prediction accuracy. For BPNN with this combination, predictive performance once again optimized by incrementally adjusting the gradients respective to each function. A total of 121 combinations of gradients were examined and out of them one optimal set was determined. Predictive performance of the corresponding model were compared to non-optimized, revealing that optimized models are more accurate over non-optimized counterparts by an improvement of more than 30%. This demonstrates that the proposed gradient-optimized teaming for BPNN with a linear function in output layer is an effective means to construct plasma models. The plasma modeled is a hemispherical inductively coupled plasma, which was characterized by a 24 full factorial design. To validate models, another eight experiments were conducted. process variables that were varied in the design include source polver, pressure, position of chuck holder and chroline flow rate. Plasma attributes measured using Langmuir probe are electron density, electron temperature, and plasma potential.

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A Study on the Classification of Knowledge Worker Style for Knowledge Management (지식경영을 위한 지식근로자 유형 분류에 관한 연구)

  • Woo, Sung-jin;Lee, Jong Hun
    • Knowledge Management Research
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    • v.2 no.1
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    • pp.65-81
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    • 2001
  • The aim of this study is classify knowledge work style management for knowledge management. It is based on the knowledge creation model of Nonaka by subdividing types of knowledge workers. It was designed to create a model for application to the actual environment of management. Nonaka suggested the process of socialization, externalization, combination, internalization that the knowledge of a person creates new knowledge through the interaction of implicit knowledge and explicit knowledge. This research demonstrated that knowledge worker of 16 forms by applying SECI model to the main function and the subordinate functions again. This study aims at achieving a higher outcome by applying the ability of existing knowledge worker to subdivided expert field efficiently. Suggested styles of knowledge worker in this research are classified into craftsman style, pragmatic style, combination style, developed style knowledge worker who creates knowledge by selecting socialization as the function and again by selecting externalization combination, internalization as subordinate functions. And they were classified into creation style, insight style, strategy style according to practical application worker and function which is selecting externalization as the main function and socialization as the subordinate functions. They were classified into future style, innovation style, analysis style, judgement style knowledge worker who are selecting combination as the main function and experiment style, intuition style, research style, learning style worker who are selecting internalization as the main function. They suggested the characteristics and cases of each type.

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Influence of Prescribed Herbal and Western Medicine on Patients with Abnormal Liver Function Tests: A Retrospective Quasi-Experimental Study

  • Lee, Ah-Ram;Yim, Je-Min;Kim, Won-Il
    • Journal of Pharmacopuncture
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    • v.15 no.1
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    • pp.34-39
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    • 2012
  • Objectives: The aim of this study was to investigate the safety and the efficacy of Korean herbal, western and combination medicine use in patients with abnormal liver function tests. Methods: We investigated nerve disease patients with abnormal liver function tests who were treated with Korean herbal, western and combination medicine at Dong-Eui University Oriental Hospital from January 2011 to August 2011. We compared aspartic aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase (ALP) and total bilirubin (T-bil) levels before and after taking medicine and excluded patients who had liver-related disease when admitted. Results: AST and ALT were decreased significantly in patients who had taken herbal, western medicine. AST, ALT and ALP were decreased significantly in patients who had taken combination medicine. Compare to herbal medicine, AST, ALT and ALP were decreased significantly in patients who had taken western medicine, and ALT and ALP were decreased significantly in patients who had taken combination medicine. There were no significant differences between western and combination medicine. Conclusions: This study suggests that prescribed Korean herbal medicine, at least, does not injure liver function for patients', moreover, it was shown to be effective in patients with abnormal liver function tests.

Replacement Model Based on Cost and Downtime

  • Jung, Ki-Mun;Han, Sung-Sil;Lim, Jae-Hak
    • Journal of the Korean Data and Information Science Society
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    • v.14 no.4
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    • pp.889-901
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    • 2003
  • In this paper, we consider the optimal replacement policies following the expiration of the combination warranty. The combination warranty can be divided into the renewing combination warranty and the non-renewing combination warranty. The criterion used to determine the optimal replacement period is the overall value function based on the expected cost and the expected downtime. Thus, we obtain the expected cost rate per unit time and the expected downtime per unit time for our model. And then the overall value function suggested by Jiagn and Ji(2002) is applied to obtain the optimal replacement period. The numerical examples are presented for illustrative purpose.

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Simplified neuron functions for FPGA evaluations of engineering neuron on gate array and analogue circuit

  • Saito, Masayuki;Wang, Qianyi;Aoyama, Tomoo
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.157.6-157
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    • 2001
  • We estimated various neuron functions to construct of engineering neurons, which are the combination of sigmoid, linear, sine, quadric, double/single bended, soft max/minimum functions. These combinations are estimated by the property on the potential surface between the learning points, calculation speed, and learning convergence; because the surface depends on the inference ability of a neuron system; and speed and convergence are depend on the efficiency on the points of engineering applications. After the evaluating discussions, we can select more appropriate combination than original sigmoid function´s, which is single bended function and linear one. The combination ...

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Spatial Impacts of Tourism on Fishing Villages in Jeju Island (제주도 어촌의 관광지화에 따른 공간이용 변화과정)

  • 송경언
    • Journal of the Korean Geographical Society
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    • v.38 no.1
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    • pp.87-103
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    • 2003
  • This study is to analyse spatial impacts of tourism on fishing villages in Jeju island. The analysis shows that the location of tourist function - sea or land - has an influence on spatial use of pre-tourist and tourist function. The locational changes of tourist function are to be the indicator of the developmental stages, the uses of 'where' to be the phases, the uses of 'where' and 'what' to be the process in the spatial impacts of tourism on fishing villages. The phases are 'time combination $\longrightarrow$spatial combination $\longrightarrow$time combination', the process is 'widened range.diversification $\longrightarrow$ range.specialization' according as the tourist function of the sea changes into the land. This is to be risk management of the tourist function.

Development of Arousal Level Estimation Algorithm by Membership Function and Dempster-Shafer′s Rule of Combination in Evidence (소속함수와 Dempster-Shafer 증거합 법칙을 이용한 긴장도 평가 알고리즘 개발)

  • 정순철
    • Science of Emotion and Sensibility
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    • v.5 no.1
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    • pp.17-24
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    • 2002
  • This research was the first step to develop Expert System for Evaluation of Human Sensibility, where human sensibility can be inferred from objective physiological signals. The study aim was to develop an algorithm in which human arousal level can be judged using measured physiological signals. Fuzzy theory was applied for mathematical handling of the ambiguity related to evaluation of human sensibility, and the degree of belonging to a certain sensibility dimension was quantified by membership function through which the sensibility evaluation was able to be done. Determining membership function was achieved using results from a physiological signal database of arousal/relaxation that was generated from imagination. To induce one final result (arousal level) based on measuring the results of more than 2 physiological signals and the membership function of each physiological signal, Dempster-Shafer's Rule of Combination in Evidence was applied, through which the final arousal level was inferred.

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Local structural alignment and classification of TIM barrel domains

  • Keum, Chang-Won;Kim, Ji-Hong;Jung, Jong-Sun
    • Bioinformatics and Biosystems
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    • v.1 no.2
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    • pp.123-127
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    • 2006
  • TIM barrel domain is widely studied since it is one of most common structure and mediates diverse function maintaining overall structure. TIM barrel domain's function is determined by local structural environment at the C-terminal end of barrel structure. We classified TIM barrel domains by local structural alignment tool, LSHEBA, to understand characteristics of TIM barrel domain's functionalvariation. TIM barrel domains classified as the same cluster share common structure, function and ligands. Over 80% of TIM barrels in clusters share exactly the same catalytic function. Comparing clustering result with that of SCOP, we found that it's important to know local structural environment of TIM barrel domains rather than overallstructure to understand specific structural detail of TIM barrel function. Non TIM barrel domains were associated to make different domain combination to form a different function. The relationship between domain combination, we suggested expected evolutional history. We finally analyzed the characteristics of amino acids around ligand interface.

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On Convex Combination of Local Constant Regression

  • Mun, Jung-Won;Kim, Choong-Rak
    • Communications for Statistical Applications and Methods
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    • v.13 no.2
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    • pp.379-387
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    • 2006
  • Local polynomial regression is widely used because of good properties such as such as the adaptation to various types of designs, the absence of boundary effects and minimax efficiency Choi and Hall (1998) proposed an estimator of regression function using a convex combination idea. They showed that a convex combination of three local linear estimators produces an estimator which has the same order of bias as a local cubic smoother. In this paper we suggest another estimator of regression function based on a convex combination of five local constant estimates. It turned out that this estimator has the same order of bias as a local cubic smoother.