• 제목/요약/키워드: new approach

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장 누벨 건축공간에 나타난 빛의 장소적 프로그램에 관한 연구 (A Study on the Place Program of the Light in Jean Nouvel Architecture Space)

  • 황윤희;윤상영;윤재은
    • 한국실내디자인학회논문집
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    • 제21권6호
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    • pp.3-11
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    • 2012
  • As most modern architectures had been constructed aiming at only both self-reliance and the purity without considering the place, the contemporary architectures have been also exposed to 'the loss of the place' similarly. From recognizing these problems, studying new spatial approach and various movements to create new modern place overcoming this have been progressed. It is meant that building shouldn't exist away from a land, without meanings. It is need to create new space aggressively against varying spaces. Thus, This thesis focus on architect Jean Nouvel among the architects having the insight of space and study his architectural design philosophy through his works creating new space. The aim of this study is to review how to define the 'placeness', and the light as a mediator of place. First of all, this thesis begins with a review what is the 'placeness' as spatial analysis and how to define 'light' as a mediator of place with his books, scholarly lectures, interviews, writing and papers and then analyse how light is represented through 'the place program of light' from his selected works. As a result of it, the thesis provides the possibilities of his constant challenges about 'existence-space-essence' by deriving the characteristics of 'the place program of light' focused on what his architectural approach constructs new space all the time through a regular program even if hard to define all his works as one model.

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A semi-analytical mesh-free method for 3D free vibration analysis of bi-directional FGP circular structures subjected to temperature variation

  • Shamshirsaz, Mahnaz;Sharafi, Shahin;Rahmatian, Javad;Rahmatian, Sajad;Sepehry, Naserodin
    • Structural Engineering and Mechanics
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    • 제73권4호
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    • pp.407-426
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    • 2020
  • In this present paper, a semi-analytical mesh-free method is employed for the three-dimensional free vibration analysis of a bi-directional functionally graded piezoelectric circular structure. The dependent variables have been expanded by Fourier series with respect to the circumferential direction and have been discretized through radial and axial directions based on the mesh-free shape function. The current approach has a distinct advantage. The nonlinear Green-Lagrange strain is employed as the relationship between strain and displacement fields to observe thermal impacts in stiffness matrices. Nevertheless, high order terms have been neglected at the final steps of equations driving. The material properties are assumed to vary continuously in both radial and axial directions simultaneously in accordance with a power law distribution. The convergence and validation studies are conducted by comparing our proposed solution with available published results to investigate the accuracy and efficiency of our approach. After the validation study, a parametric study is undertaken to investigate the temperature effects, different types of polarization, mechanical and electric boundary conditions and geometry parameters of structures on the natural frequencies of functionally graded piezoelectric circular structures.

외래에서 시행하는 경윤상갑상막 접근 성대주입술 중 주입 위치를 정확하게 파악하는 방법에 관한 기술적 고찰 (Technical Review of How to Determine the Exact Location of Needle Tip During Office-Based Injection Augmentation of the Vocal Folds Via Cricothyroid Approach)

  • 박성준;권택균
    • 대한후두음성언어의학회지
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    • 제29권2호
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    • pp.70-75
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    • 2018
  • The office-based, un-sedated vocal fold injection laryngoplasty has re-emerged in the past decade as an appealing alternative to microsuspension laryngoscopic procedure which is conducted under general anesthesia. The trend toward vocal fold injection laryngoplasty in an in-office setting was possible due to technological evolution for visualization and new injection materials. However, invisibility of the injection needle has been the main shortcomings of cricothyroid approach. The purpose of this review is to provide an up-to-date review of office-based, trans-cricothyroid membrane approach injection laryngoplasty technique under local anesthesia and efforts made to increase the preciseness of amount and location of the injected materials in the management of glottic insufficiency. A review of variable efforts undertaken to maximize the result of cricothyroid approach by technically increasing accuracy of the location of needle tip was done. With the proper patient selection and utilization of the new technologies, office-based and un-sedated vocal fold injection laryngoplasty via cricothyroid approach can be redeem as a main-stay in the management of glottic insufficiency, such as vocal fold paralysis, vocal fold paresis, vocal fold atrophy and vocal fold scar.

Remaining Useful Life Estimation based on Noise Injection and a Kalman Filter Ensemble of modified Bagging Predictors

  • Hung-Cuong Trinh;Van-Huy Pham;Anh H. Vo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권12호
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    • pp.3242-3265
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    • 2023
  • Ensuring reliability of a machinery system involve the prediction of remaining useful life (RUL). In most RUL prediction approaches, noise is always considered for removal. Nevertheless, noise could be properly utilized to enhance the prediction capabilities. In this paper, we proposed a novel RUL prediction approach based on noise injection and a Kalman filter ensemble of modified bagging predictors. Firstly, we proposed a new method to insert Gaussian noises into both observation and feature spaces of an original training dataset, named GN-DAFC. Secondly, we developed a modified bagging method based on Kalman filter averaging, named KBAG. Then, we developed a new ensemble method which is a Kalman filter ensemble of KBAGs, named DKBAG. Finally, we proposed a novel RUL prediction approach GN-DAFC-DKBAG in which the optimal noise-injected training dataset was determined by a GN-DAFC-based searching strategy and then inputted to a DKBAG model. Our approach is validated on the NASA C-MAPSS dataset of aero-engines. Experimental results show that our approach achieves significantly better performance than a traditional Kalman filter ensemble of single learning models (KESLM) and the original DKBAG approaches. We also found that the optimal noise-injected data could improve the prediction performance of both KESLM and DKBAG. We further compare our approach with two advanced ensemble approaches, and the results indicate that the former also has better performance than the latters. Thus, our approach of combining optimal noise injection and DKBAG provides an effective solution for RUL estimation of machinery systems.

Nonlinear vibration of thin circular sector cylinder: An analytical approach

  • Pakar, Iman;Bayat, Mahmoud;Bayat, Mahdi
    • Steel and Composite Structures
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    • 제17권1호
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    • pp.133-143
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    • 2014
  • In this paper, we try to prepare an accurate analytical solution for solving nonlinear vibration of thin circular sector cylinder. A new approximate solution called variational approach is presented and correctly applied to the governing equation of thin circular sector cylinder. The effect of important parameters on the response of the problem is considered. Some comparisons have been presented between the numerical solution and the present approach. The results show an excellent agreement between these methods. It has been illustrated that the variational approach can be a useful method to solve nonlinear problems by considering the effects of important parameters.

Bilingual lexicon induction through a pivot language

  • Kim, Jae-Hoon;Seo, Hyeong-Won;Kwon, Hong-Seok
    • Journal of Advanced Marine Engineering and Technology
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    • 제37권3호
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    • pp.300-306
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    • 2013
  • This paper presents a new method for constructing bilingual lexicons through a pivot language. The proposed method is adapted from the context-based approach, called the standard approach, which is well-known for building bilingual lexicons using comparable corpora. The main difference between the standard approach and the proposed method is how to represent context vectors. The former is to represent context vectors in a target language, while the latter in a pivot language. The proposed method is very simplified from the standard approach thereby. Furthermore, the proposed method is more accurate than the standard approach because it uses parallel corpora instead of comparable corpora. The experiments are conducted on a language pair, Korean and Spanish. Our experimental results have shown that the proposed method is quite attractive where a parallel corpus directly between source and target languages are unavailable, but both source-pivot and pivot-target parallel corpora are available.

비이진 연관행렬 기반의 부품-기계 그룹핑을 위한 효과적인 인공신경망 접근법 (Effective Artificial Neural Network Approach for Non-Binary Incidence Matrix-Based Part-Machine Grouping)

  • 원유경
    • 한국경영과학회지
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    • 제31권4호
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    • pp.69-87
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    • 2006
  • This paper proposes an effective approach for the part-machine grouping(PMG) based on the non-binary part-machine incidence matrix in which real manufacturing factors such as the operation sequences with multiple visits to the same machine and production volumes of parts are incorporated and each entry represents actual moves due to different operation sequences. The proposed approach adopts Fuzzy ART neural network to quickly create the Initial part families and their machine cells. A new performance measure to evaluate and compare the goodness of non-binary block diagonal solution is suggested. To enhance the poor solution due to category proliferation inherent to most artificial neural networks, a supplementary procedure reassigning parts and machines is added. To show effectiveness of the proposed approach to large-size PMG problems, a psuedo-replicated clustering procedure is designed. Experimental results with intermediate to large-size data sets show effectiveness of the proposed approach.

전로 취련제어를 위한 신경회로망 및 사례기반추론의 통합 접근 방법 (Hybrid Case Based Reasoning and Neural Networks Approach for Blowing Control of Basic Oxygen Furnace)

  • 김종한;박정준;정성원;박진우
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 2003년도 추계학술대회 및 정기총회
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    • pp.201-204
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    • 2003
  • A hybrid artificial intelligence approach based on combining case based reasoning and neural networks is presented. The approach is designed to allow for solving blowing control of BOF(basic oxygen furnace), example of which lie at the core of steelmaking process control systems application in the steel industry. According to this hybrid approach, the system, when faced with a new problem, first retrieves similar cases and neural network is used to solve the problem. Experimental Results indicate that combining case based reasoning and neural network offers an efficient approach to solving control and prediction problem

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Modeling Dynamic Business Rules using A Dynamic Knowledge Approach

  • Karami, Nasser;Iijima, Junichi
    • Industrial Engineering and Management Systems
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    • 제6권1호
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    • pp.72-82
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    • 2007
  • Business Rules are formal statements about the data and processes of an enterprise. They present projections of the organization's constraints and ways of working on their supporting information systems. Therefore, their collection, structuring and organization should be central activities within information systems. In an enterprise, business rules are used to represent certain aspects of a business domain (static rules) or business policy (dynamic rules). Hence, regarding problem domains in the organization, business rules are classified into two groups: static and dynamic business rules. The paper introduces a new concept of business rules, Extended Dynamic Business Rule (EDBR) which contains the results of the occurrence of business rule's action. The focus of this paper is in the organizing, defining and modeling of such business rules using Mineau's approach. Mineau's approach is an extension of Sowa's Conceptual Graph theory.

Linear Matrix Inequalities(LMIs)를 이용한 강인한 LQR/LQG 제어기의 설계 (Design of robust LQR/LQG controllers by LMIs)

  • 유지환;박영진
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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    • pp.988-991
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    • 1996
  • The purpose of this thesis is to develop methods of designing robust LQR/LQG controllers for time-varying systems with real parametric uncertainties. Controller design that meet desired performance and robust specifications is one of the most important unsolved problems in control engineering. We propose a new framework to solve these problems using Linear Matrix Inequalities (LMls) which have gained much attention in recent years, for their computational tractability and usefulness in control engineering. In Robust LQR case, the formulation of LMI based problem is straightforward and we can say that the obtained solution is the global optimum because the transformed problem is convex. In Robust LQG case, the formulation is difficult because the objective function and constraint are all nonlinear, therefore these are not treatable directly by LMI. We propose a sequential solving method which consist of a block-diagonal approach and a full-block approach. Block-diagonal approach gives a conservative solution and it is used as a initial guess for a full-block approach. In full-block approach two LMIs are solved sequentially in iterative manner. Because this algorithm must be solved iteratively, the obtained solution may not be globally optimal.

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