• Title/Summary/Keyword: Stability Performance Index

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Developing New Journal Citation Indicators including Immediate Citation Frequencies in the Published Year (출판년도의 즉시 인용빈도를 포함하는 학술지 인용지수 개발)

  • Lee, Jae Yun
    • Journal of the Korean Society for Library and Information Science
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    • v.52 no.4
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    • pp.71-90
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    • 2018
  • The importance of citation measures has been increasing in the evaluation of scholarly journals and it becomes a major issue for Korean Citation Index (KCI) journals. The Journal Impact Factor (JIF), a widely used measure for academic journals, has a problematic issue that it does not include the number of citations for a paper immediately made in the year in which the cited paper was published. On the contrary, the Diachronous Impact Factor (IMP) includes the number of citations made in the published year, but IMP is a measure for papers published a few years ago, not in the last year. It does not represent the recent value of journals effectively. To overcome these problems, Total Impact Factor (TIF) and Mean Impact Factor (MIF) are proposed as new journal citation indicators. This study calculated the performance of proposed indicators experimentally on KCI data. The result shows that TIF is a promising measure for the multidimensional evaluation of humanities and social sciences journals in Korea because it has high stability by year and includes the immediate citations of the published year.

The Changes of Lumbar Stabilization Exercise on Balance with a Variety of Supporting Surface in Chronic Hemiplegia (다양한 지지면에서의 요부안정화운동이 만성편마비환자의 균형에 미치는 변화)

  • Lim, Jinyong;Kim, Dayeon
    • Journal of The Korean Society of Integrative Medicine
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    • v.3 no.3
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    • pp.9-16
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    • 2015
  • Purpose : The purpose of this study was to demonstrate the effects of lumbar stabilization exercise on static and dynamic balance performance with unstable supporting surface and an even surface. Methods : The subjects of this experimental study were 30 patients among hospitalized stroke patients. They were randomly divided into two groups: unstable supporting surface group(USS; n=15) and an even surface group(ES; n=15). The lumbar stabilization exercise program for patients in two groups went through 40 minute exercise sessions three times a week for 8 weeks. To analyze the effects of a variety of supporting surface, Functional reaching test(FRT), Berg's balance scale(BBS), and Overall stability index(static balance) were measured before and after the exercise. The paired t-test was used to compare mean differences between before and after exercis and the independent t-test was used to compare mean differences between groups. Results : After 8 weeks exercise program, there were significant differences between before and after exercise in FRT, BBS, and static balance. But there were not significant differences in balance between two groups. Conclusion : This study suggest that lumbar stabilization exercise on unstable supporting surface and an even surface can improve FRT, BBS, and a static balance.

The Empirical Analysis about Structural Characteristics of the Housing Jeonse Price Change in Seoul (서울시 주택전세가격 변동양상에 대한 실증분석)

  • Jung, Yeong-Ki;Kim, Kyung-Hoon;Kim, Jae-Jun
    • Journal of The Korean Digital Architecture Interior Association
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    • v.12 no.1
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    • pp.89-98
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    • 2012
  • While the housing transaction price of Seoul tends to be stagnant or declining in line with the housing market recession since 2007, the jeonse price keeps continual increase. Such flow of jeonse price change has a serious influence on ordinary person's housing stability seriously. Therefore, it is very meaningful in terms of social policy to analyze the trend of recent jeonse price change. This study aims to have an empirical analysis of structural characteristics of the trend of recent jeonse price change. After the review of various previous studies, this study selected housing jeonse price index, non-sold house quantity, jeonse vs. transaction price rate, and housing construction performance as analytical variables, and employed monthly time series resources from January 2007 to April 2011. As a result, when the housing supply reduced, the potential quantity for jeonse market reduced that occurred unbalance of supply and demand in jeonse market. In turn, it caused the increase of jeonse price. And, in case of jeonse vs. transaction price rate change, the rate increased which means the increase of required rate of return of invested demand. As such, the increase of market risk degenerates the investment sentiment which caused the reduction of quantity for jeonse market as a submarket.

Dynamic Synchronous Phasor Measurement Algorithm Based on Compressed Sensing

  • Yu, Huanan;Li, Yongxin;Du, Yao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.1
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    • pp.53-76
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    • 2020
  • The synchronous phasor measurement algorithm is the core content of the phasor measurement unit. This manuscript proposes a dynamic synchronous phasor measurement algorithm based on compressed sensing theory. First, a dynamic signal model based on the Taylor series was established. The dynamic power signal was preprocessed using a least mean square error adaptive filter to eliminate interference from noise and harmonic components. A Chirplet overcomplete dictionary was then designed to realize a sparse representation. A reduction of the signal dimension was next achieved using a Gaussian observation matrix. Finally, the improved orthogonal matching pursuit algorithm was used to realize the sparse decomposition of the signal to be detected, the amplitude and phase of the original power signal were estimated according to the best matching atomic parameters, and the total vector error index was used for an error evaluation. Chroma 61511 was used for the output of various signals, the simulation results of which show that the proposed algorithm cannot only effectively filter out interference signals, it also achieves a better dynamic response performance and stability compared with a traditional DFT algorithm and the improved DFT synchronous phasor measurement algorithm, and the phasor measurement accuracy of the signal is greatly improved. In practical applications, the hardware costs of the system can be further reduced.

Reliability and Validity of the Korean Version of the Functional Movement Screen (한국판 기능적 동작 검사의 신뢰도와 타당도)

  • An, Seung-Heon;Lee, Je-Hoon
    • The Journal of Korean Physical Therapy
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    • v.22 no.5
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    • pp.83-93
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    • 2010
  • Purpose: The purpose of this study was to determine the reliability and validity of the Functional Movement Screen (FMS) for assessing Korean athletes. Methods: A total of 48 patients (37 males and 11 females) participated in this study. Data were acquired after translation of the FMS from English to Korean and cross-cultural adaptation of the this questionnaire. To determine inter-rater reliability, the relationship between the FMS scores obtained by two raters was evaluated using the Kappa coefficient, which was in total agreement with the Intra-Correlation Coefficient (ICC3,1). Concurrent validity was examined by correlating the FMS scores with the Oswestry disability index (ODI) scores and Visual analogue scale (VAS) scores. Results: The raters demonstrated excellent agreement on 7 (above 90%) of the 17 test (72.9 to 97.9%) components. Substantial agreement was seen in 11 of the 17 tests. Two components of the In-line lunge and rotatory stability tests demonstrated moderate agreement. It showed good inter-rater reliability: the Kappa coefficients ranged from 0.42 to 0.97. ICC3,1=0.42~0.99 and 0.93 (total FMS score). Cronbach's alpha for FMS was 0.80. It was not correlated with ODI or VAS. Conclusion: The Korean version of the FMS is a reliable instrument for measuring movement patterns of Korean athletes and for making decisions related to interventions for performance enhancement.

Development of Combustion System for Solid Oxide Fuel Cell System (고체산화물 연료전지용 예혼합 연소시스템 개발)

  • Jo, Soonhye;Lee, Pilhyong;Cha, Chunloon;Hong, Seongweon;Hwang, Sangsoon
    • 한국신재생에너지학회:학술대회논문집
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    • 2011.05a
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    • pp.96.1-96.1
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    • 2011
  • Solid oxide fuel cells(SOFCs) can convert the chemical energy of fuel into electricity directly. With the rising fuel prices and stricter emission requirement, SOFCs have been widely recognized as a promising technology in the near future. In this study, lean premixed flame using the orifice swirl burner was analyzed numerically and experimentally. We used the program CHEMKIN and the GRI 3.0 chemical reaction mechanism for the calculation of burning velocity and adiabatic flame temperature to investigate the effects of equivalence ratio on the adiabatic flame temperature and burning velocity respectively. Burning velocity of hydrogen was calculated by CHEMKIN simulation was 325cm/s, which was faster than that of methane having 42 cm/s at the same equivalence ratio. Also Ansys Fluent was used so as to analysis the performance with alteration of swirl structure and orifice mixer structure. This experimental study focused on stability and emission characteristics and the influence of swirl and orifice mixer in Solid Oxide Fuel Cell Systme burner. The results show that the stable blue flame with different equivalence ratio. NOx was measured below 20 ppm from equivalence ratios 0.72 to 0.84 and CO which is a very important emission index in combustor was observed below 160 ppm under the same equivalence region.

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Design of nonlinear optimal regulators using lower dimensional riemannian geometric models

  • Izawa, Yoshiaki;Hakomori, Kyojiro
    • 제어로봇시스템학회:학술대회논문집
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    • 1994.10a
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    • pp.628-633
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    • 1994
  • A new Riemannian geometric model for the controlled plant is proposed by imbedding the control vector space in the state space, so as to reduce the dimension of the model. This geometric model is derived by replacing the orthogonal straight coordinate axes on the state space of a linear system with the curvilinear coordinate axes. Therefore the integral manifold of the geometric model becomes homeomorphic to that of fictitious linear system. For the lower dimensional Riemannian geometric model, a nonlinear optimal regulator with a quadratic form performance index which contains the Riemannian metric tensor is designed. Since the integral manifold of the nonlinear regulator is determined to be homeomorphic to that of the linear regulator, it is expected that the basic properties of the linear regulator such as feedback structure, stability and robustness are to be reflected in those of the nonlinear regulator. To apply the above regulator theory to a real nonlinear plant, it is discussed how to distort the curvilinear coordinate axes on which a nonlinear plant behaves as a linear system. Consequently, a partial differential equation with respect to the homeomorphism is derived. Finally, the computational algorithm for the nonlinear optimal regulator is discussed and a numerical example is shown.

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A Study on the Universal Outer Diameter Measurement Module using LVDT (LVDT를 이용한 범용 외경측정 모듈에 관한 연구)

  • Lee, Neung-Gu;Kwac, Lee-Ku;Kim, Hong-Gun
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.16 no.3
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    • pp.100-106
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    • 2017
  • A universal outer diameter measurement module was developed using a linear variable differential transformer (LVDT). This outer diameter measurement module enables simultaneous measurement of outer diameter, displacement, and perpendicularity of bench-type high-precision products by combining analogue and digital measurement principles with mechanically precise and fine adjustment functions. The developed module showed a performance of 0.001mm in measurement resolution, 0.001mm in measurement accuracy, reference surface abrasion lower than Ra 0.1864, and measurement stability of 0.002mm. Therefore, we have acquired domestic measurement technology to improve productivity by securing technical competitiveness for universal diameter measurement technology, lower production costs through import substitution, and increased quality of products with more precise measurement technology. Furthermore, a substitution effect is expected for expensive import measurement system equipment used in production, research, and inspection sites in industries that produce precision processing products such as automobile and machine components.

Optimal design of hydraulic support landing platform for a four-rotor dish-shaped UUV using particle swarm optimization

  • Zhang, Bao-Shou;Song, Bao-Wei;Jiang, Jun;Mao, Zhao-Yong
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.8 no.5
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    • pp.475-486
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    • 2016
  • Four-rotor dish-shaped unmanned underwater vehicles (FRDS UUVs) are new type underwater vehicles. The main goal of this paper is to develop a quick method to optimize the design of hydraulic support landing platform for the new UUV. In this paper, the geometry configuration and instability type of the platform are defined. Computational investigations are carried out to study the hydrodynamic performance of the landing platform using the Computational Fluid Dynamics (CFD) method. Then, the response surface model of the optimization objective is established. The intelligent particle swarm optimization (PSO) is applied to finding the optimal solution. The result demonstrates that the stability of landing platform is significantly improved with the global objective index increasing from 1.045 to 1.158 (10.86% higher) after the optimization process.

Optimization of Design Variables of Suspension for Train using Neural Network Model (신경회로망 모델을 이용한 철도 현가장치 설계변수 최적화)

  • 김영국;박찬경;황희수;박태원
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2002.05a
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    • pp.1086-1092
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    • 2002
  • Computer simulation is essential to design the suspension elements of railway vehicle. By computer simulation, engineers can assess the feasibility of a given design factors and change them to get a better design. But if one wishes to perform complex analysis on the simulation, such as railway vehicle dynamic, the computational time can become overwhelming. Therefore, many researchers have used a mega model that has a regression model made by sampling data through simulation. In this paper, the neural network is used a mega model that have twenty-nine design variables and forty-six responses. After this mega model is constructed, multi-objective optimal solutions are achieved by using the differential evolution. This paper shows that this optimization method using the neural network and the differential evolution is a very efficient tool to solve the complex optimization problem.

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