• Title/Summary/Keyword: Continuous function

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Optimum Design of Greenhouse Structures Using Continuous and Discrete Optimum Algorithms (연속 및 이산화 최적알고리즘에 의한 단동온실구조의 최적설계)

  • Park, Choon-Wook;Lee, Jong-Won;Lee, Hyun-Woo;Lee, Suk-Gun
    • Journal of Korean Association for Spatial Structures
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    • v.5 no.4 s.18
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    • pp.61-70
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    • 2005
  • In paper the discrete optimum design program was developed using the continuous and discrete optimum algorithms based on the SUMT and genetic algorithms. In this paper, the objective function is the weight of structures and the constraints are limits state design limits method. The design variables are diameter and thick of steel pipe. Design examples are given to show the applicability of the optimum design using the continuous and discrete optimum algorithms based on the SUMT and genetic algorithms of this study.

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A Systemic Review of Korean Medical Treatment Combined with Continuous Passive Motion Therapy on the Knee Joint Postoperative Rehabilitation (슬관절 수술 후 재활에 대한 Continuous Passive Motion 치료와 한의 병행치료의 체계적 문헌 고찰)

  • Ha, Hyun Ju;Oh, Min-Seok
    • Journal of Korean Medicine Rehabilitation
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    • v.27 no.3
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    • pp.33-45
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    • 2017
  • Objectives The objective of this study is to report the evidence that continuous passive motion (CPM) therapy combined with Korean Medicine is effective for knee injuries. Methods We searched 2 Korean medical electronic databases, and 2 Chinese electronic databases to find randomized controlled clinical trials (RCTs) that treat knee injuries with Korean Medicine combined with CPM therapy. We selected studies by screening. We extracted data from selected RCTs, and analyzed RCTs by using Cochrane's Risk of bias criteria. Results 386 studies are searched, and 7 RCTs are selected. According to the study, several kinds of Korean Medicine such as hydrotherapy, decoction, acupuncture, moxibustion, and manual therapy are used with CPM therapy for the knee joint postoperative rehabilitation. We found the encouraging evidence that Korean Medicine and CPM combined therapy is more effective than single CPM therapy by alleviating pain, increasing range of motion, and improving knee function, etc. However, the risk of bias in most RCTs was judged to be uncertain. Conclusions Combination of Korean Medicine and CPM therapy can compensate the defect of single CPM therapy, and promotes the recovery of knee joint function.

Digital Redesign using the Discrete Grammian Method (연속제어기의 GSHF(Generalized Sampled-data Hold Function)을 이용한 디지탈 재설계시의 이산적 GRAMMIAN 행렬의 사용)

  • Chung, Chi-B.;Chung, Tae-S.;Yang, Won-Y.
    • Proceedings of the KIEE Conference
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    • 1993.07a
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    • pp.306-309
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    • 1993
  • Digital redesign techniques are to derive a digital controller fred the existing continuous controller and its plant so that the performance of the digitally controlled system is matched as closely as possible to that of the original continuous system at the sampling instants. Recently a new digital redesign technique, was developed to use the generalized sampled-data hold function(GSHF) based on the the grammian matrix. With this new technique the digitally redesigned system showed several good features compared with any existing technique in terms of the state match at the sampling instants, the large sampling period, and the transient reponses. This paper concerns a further improvement of the new digital redesign technique by employing the discrete grammian matrix instead of the continuous grammian matrix in defining GSHF. With this modification, it was observed by simulation that the transient response of the modified digital system shows far better performance than the digital system based on the continuous grammian matrix.

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Influence on the Use Intention of User's Traits in China Market

  • Lee, Jong-Ho;Wu, Runze;Fan, Linlin
    • Asian Journal of Business Environment
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    • v.7 no.2
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    • pp.21-29
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    • 2017
  • Purpose - Because of the development of smartphone and communication technology, Smart TV programs are filled with various contents and applications. This study included additional individual variables like innovativeness and self-efficacy, and characteristics of smart TV are both user-interface and function as exogenous factors based on TAM model. So, this study focuses on identifying the influencing factors of continuous use intention of smart TV traits and user ones and analyzing how they make influences on them in China market. Research design, data, and methodology - Totally 182 samples were adopted as appropriate ones for analysis in this study. They were collected from 20 February 2016 to 10 March 2016. Results - The results are as follows. First, function has positive influence on perceived usefulness. Second, innovation and user-interface make affirmative influences on perceived easiness. Third, perceived easiness has affirmative influence on perceived usefulness. Fourth, the perceived easiness and perceived usefulness make positive ones on continuous use intention. Fifth, perceived ease of use affects significantly on perceived usefulness. Conclusions - According to the findings, they (smart TV traits and user traits), influencing on continuous use intention, are possible to give significant implications on persistent development in China smart TV market.

Nonlinear Function Approximation Using Efficient Higher-order Feedforward Neural Networks (효율적 고차 신경회로망을 이용한 비선형 함수 근사에 대한 연구)

  • 신요안
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.1
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    • pp.251-268
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    • 1996
  • In this paper, a higher-order feedforward neural network called ridge polynomial network (RPN) which shows good approximation capability for nonlnear continuous functions defined on compact subsets in multi-dimensional Euclidean spaces, is presented. This network provides more efficient and regular structure as compared to ordinary higher-order feedforward networks based on Gabor-Kolmogrov polynomial expansions, while maintating their fast learning property. the ridge polynomial network is a generalization of the pi-sigma network (PSN) and uses a specialform of ridge polynomials. It is shown that any multivariate polynomial can be exactly represented in this form, and thus realized by a RPN. The approximation capability of the RPNs for arbitrary continuous functions is shown by this representation theorem and the classical weierstrass polynomial approximation theorem. The RPN provides a natural mechanism for incremental function approximation based on learning algorithm of the PSN. Simulation results on several applications such as multivariate function approximation and pattern classification assert nonlinear approximation capability of the RPN.

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Actor-Critic Algorithm with Transition Cost Estimation

  • Sergey, Denisov;Lee, Jee-Hyong
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.16 no.4
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    • pp.270-275
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    • 2016
  • We present an approach for acceleration actor-critic algorithm for reinforcement learning with continuous action space. Actor-critic algorithm has already proved its robustness to the infinitely large action spaces in various high dimensional environments. Despite that success, the main problem of the actor-critic algorithm remains the same-speed of convergence to the optimal policy. In high dimensional state and action space, a searching for the correct action in each state takes enormously long time. Therefore, in this paper we suggest a search accelerating function that allows to leverage speed of algorithm convergence and reach optimal policy faster. In our method, we assume that actions may have their own distribution of preference, that independent on the state. Since in the beginning of learning agent act randomly in the environment, it would be more efficient if actions were taken according to the some heuristic function. We demonstrate that heuristically-accelerated actor-critic algorithm learns optimal policy faster, using Educational Process Mining dataset with records of students' course learning process and their grades.

Acute kidney injury and continuous renal replacement therapy in children; what pediatricians need to know

  • Cho, Myung Hyun;Kang, Hee Gyung
    • Clinical and Experimental Pediatrics
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    • v.61 no.11
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    • pp.339-347
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    • 2018
  • Acute kidney injury (AKI) is characterized by abrupt deterioration of renal function, and its diagnosis relies on creatinine measurements and urine output. AKI is associated with higher morbidity and mortality, and is a risk factor for development of chronic kidney disease. There is no proven medication for AKI. Therefore, prevention and early detection are important. Physicians should be aware of the risk factors for AKI and should monitor renal function in high-risk patients. Management of AKI includes optimization of volume status and renal perfusion, avoidance of nephrotoxic agents, and sufficient nutritional support. Continuous renal replacement therapy is widely available for critically ill children, and this review provides basic information regarding this therapy. Long-term follow-up of patients with AKI for renal function, blood pressure, and proteinuria is recommended.

An Edge Detection Method for Gray Scale Images Based on their Fuzzy System Representation

  • Moon, Byung-Soo;Lee, Hyun-Chul;Kim, Jang-Yeol
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2001.12a
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    • pp.283-286
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    • 2001
  • Based on a fuzzy system representation of gray scale images, we derive an edge detection algorithm whose convolution kernel is different from the known kernels such as those of Roberts', Prewitt's or Sobel's gradient. Our fuzzy system representation is an exact representation of the bicubic spline function which represents the gray scale image approximately. Hence the fuzzy system is a continuous function and it provides a natural way to define the gradient and the Laplacian operator. We show that the gradient at grid points can be evaluated by taking the convolution of the image with a 3 3 kernel. We also show that our gradient coupled with the approximate value of the continuous function generates an edge detection method which creates edge images clearer than those by other methods. A few examples of applying our methods are included.

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Understanding the Continuous Intention of the Smart Phone Use: The Case of a Delivery Services Company in Logistics (스마트폰의 지속적 사용에 관한 이해: 물류분야의 택배서비스업 사례)

  • Chung, Namho;Lee, Kun Chang
    • Knowledge Management Research
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    • v.12 no.2
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    • pp.56-68
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    • 2011
  • The rapid changes in business environments are also applicable to the delivery service field. Numerous companies are using smart phones in order to perform work of the delivery service field that is rapidly developing every year. Smart phones established ubiquitous work environments where access to the server of the head office is possible through telephones, scanners, and the internet anywhere and anytime. However, although smart appliances including smart phones have been diffused, empirical analysis of use of them in actual has not been attempted much. In this regard, current study empirically analyzes how connectivity and context-awareness function of smart phones based on the TAM(Technology Acceptance Model) influence the continuous intention to use through trust, usefulness, and ease of use. The results indicate that the connectivity and context-awareness function, which are natures of smart phones, had impacts on the ease of use and trust, but not on the usefulness. Based on these results, this study suggests implications and future research directions regarding the planning and realization of smart appliances.

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