• Title/Summary/Keyword: multiple performance criteria

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Implementation of Various FIR Filters using Constrained Least Square Criterion (제한된 최소 자승 오차 기준에 의한 다양한 FIR 필터 구현)

  • Hong, Seung-Eok;Kim, Joong-Kyu
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.35S no.10
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    • pp.175-185
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    • 1998
  • In this paper, we studied some design methodologies of typical FIR filters based on the peak-error constrained least square criterion which was first introducedd by Adams in 1991. This method is a mixed type of the classical least squared error method(LSM) and the so-called min-max error method (MMM). And by considering both the least squared error as well as the maximum error, the solution, i.e. the impulse response of the filter, can be found only when the restrictions on maximum gain, transition bandwidth, and the squared error are satisfied simultaneously under some trade-off conditions. We used the multiple exchange algorithms for optimization procedure and applied the design methodology to the cases of the multiband filter, the differentiator, and the Hilbert transformer by taking the balance of two design criteria into account. The results show that the peak-error constrained least weighted square error design method(PLEM) is superior in performance to the existing LSM and MMM from both the squared error and the maximum error standpoints. And it is verified that PLEM can be applied to not only the case of simple low pass filter, but also to various types of FIR filters.

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Evaluation of Operational Efficiency for Electric Vehicle Charging Stations Using Data Envelopment Analysis (자료포락분석을 이용한 전기차 충전소 운영효율성 평가)

  • Son, Dong-Hoon;Gang, Yeong-Su;Kim, Hwa-Joong
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.43 no.3
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    • pp.53-60
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    • 2020
  • Evaluating the operational efficiency of electric vehicle charging stations (EVCSs) is important to understand charging network evolution and the charging behavior of electric vehicle users. However, aggregation of efficiency performance metrics poses a significant challenge to practitioners and researchers. In general, the operational efficiency of EVCSs can be measured as a complicated function of various factors with multiple criteria. Such a complex aspect of managing EVCSs becomes one of the challenging issues to measure their operational efficiency. Considering the difficulty in the efficiency measurement, this paper suggests a way to measure the operational efficiency of EVCSs based on data envelopment analysis (DEA). The DEA model is formulated as constant returns of output-oriented model with five types of inputs, four of them are the numbers of floating population and nearby charging stations, distance of nearby charging stations and traffic volume as desirable inputs and the other is the traffic speed in congestion as undesirable one. Meanwhile, the output is given by the charging frequency of EVCSs in a day. Using real-world data obtained from reliable sources, we suggest operational efficiencies of EVCSs in Seoul and discuss implications on the development of electric vehicle charging network. The result of efficiency measurement shows that most of EVCSs in Seoul are inefficient, while some districts (Nowon-gu, Dongdaemun-gu, Dongjak-gu, Songpa-gu, Guro-gu) have relatively more efficient EVCSs than the others.

High-precision modeling of uplift capacity of suction caissons using a hybrid computational method

  • Alavi, Amir Hossein;Gandomi, Amir Hossein;Mousavi, Mehdi;Mollahasani, Ali
    • Geomechanics and Engineering
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    • v.2 no.4
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    • pp.253-280
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    • 2010
  • A new prediction model is derived for the uplift capacity of suction caissons using a hybrid method coupling genetic programming (GP) and simulated annealing (SA), called GP/SA. The predictor variables included in the analysis are the aspect ratio of caisson, shear strength of clayey soil, load point of application, load inclination angle, soil permeability, and loading rate. The proposed model is developed based on well established and widely dispersed experimental results gathered from the literature. To verify the applicability of the proposed model, it is employed to estimate the uplift capacity of parts of the test results that are not included in the modeling process. Traditional GP and multiple regression analyses are performed to benchmark the derived model. The external validation of the GP/SA and GP models was further verified using several statistical criteria recommended by researchers. Contributions of the parameters affecting the uplift capacity are evaluated through a sensitivity analysis. A subsequent parametric analysis is carried out and the obtained trends are confirmed with some previous studies. Based on the results, the GP/SA-based solution is effectively capable of estimating the horizontal, vertical and inclined uplift capacity of suction caissons. Furthermore, the GP/SA model provides a better prediction performance than the GP, regression and different models found in the literature. The proposed simplified formulation can reliably be employed for the pre-design of suction caissons. It may be also used as a quick check on solutions developed by more time consuming and in-depth deterministic analyses.

Fast Ambiguity Resolution using Galileo Multiple Frequency Carrier Phase Measurement

  • Ji, Shengyue;Chen, Wu;Zhao, Chunmei;Ding, Xiaoli;Chen, Yongqi
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • v.1
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    • pp.179-184
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    • 2006
  • Rapid and high-precision positioning with a Global Navigation Satellite System (GNSS) is feasible only when very precise carrier-phase observations can be used. There are two kinds of mathematical models for ambiguity resolution. The first one is based on both pseudorange and carrier phase measurements, and the observation equations are of full rank. The second one is only based on carrier phase measurement, which is a rank-defect model. Though the former is more commonly used, the latter has its own advantage, that is, ambiguity resolution will be freed from the effects of pseudorange multipath. Galileo will be operational. One of the important differences between Galileo and current GPS is that Galileo will provide signals in four frequency bands. With more carrier-phase data available, frequency combinations with long equivalent wavelength can be formed, so Galileo will provide more opportunities for fast and reliable ambiguity resolution than current GPS. This paper tries to investigate phase only fast ambiguity resolution performance with four Galileo frequencies for short baseline. Cascading Ambiguity Resolution (CAR) method with selected optimal frequency combinations and LAMBDA method are used and compared. To validate the resolution, two tests are used and compared. The first one is a ratio test. The second one is lower bound success-rate test. The simulation test results show that, with LAMBDA method, whether with ratio test or lower bound success rate validation criteria, ambiguity can be fixed in several seconds, 8 seconds at most even when 1 sigma of carrier phase noise is 12 mm. While with CAR method, at least about half minute is required even when 1 sigma of carrier phase noise is 3 mm. It shows that LAMBDA method performs obviously better than CAR method.

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A Bayes Criterion for Selecting Variables in MDA (MDA에서 판별변수 선택을 위한 베이즈 기준)

  • 김혜중;유희경
    • The Korean Journal of Applied Statistics
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    • v.11 no.2
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    • pp.435-449
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    • 1998
  • In this article we have introduced a Bayes criterion for the variable selection in multiple discriminant analysis (MDA). The criterion is a default Bayes factor for the comparision of homo/heteroscadasticity of the multivariate normal means. The default Bayes factor is obtained from a development of the imaginary training sample method introduced by Spiegelhalter and Smith (1982). Based an the criterion, we also provided a test for additional discrimination in MDA. The advantage of the criterion is that it is not only applicable for the optimal subset selection method but for the stepwise method. More over, the criterion can be reduced to that for two-group discriminant analysis. Thus the criterion can be regarded as an unified alternative to variable selection criteria suggested by various sampling theory approaches. To illustrate the performance of the criterion, a numerical study has bean done via Monte Carlo experiment.

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A Study on the Propagation Characteristics of Wireless Communication System for Firefighters in Kimhae Site (김해지역 소방무선통신시스템의 전파특성 연구)

  • Lee, Su-Bin;Ko, Bong-Jin
    • Journal of Advanced Navigation Technology
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    • v.19 no.2
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    • pp.168-174
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    • 2015
  • Wireless communication system for firefighters has an important role as the last communication method between the commander and the firefighters in disaster sites like fire. But the operation of Gyeongnam wireless communication system is installed, and maintained and controlled without criteria for the selection of a transmitting station and the analysis of propagation environment because of the lack of budget and the absence of professional personnel. To improve the performance of the radio station, this paper theoretically calculated free space loss of UHF 400 MHz band used by all firefighters in Gyeongnam and diffractions caused by single and multiple obstacles and computed the error after comparing the results of the actual measurement to those of simulation with FRAS operated by KFL. In the results, Deygout model was the most consistent with the actual measurement for 400MHz band in Kimhae site.

Development of Automation Software for Corner Radius Analysis of Composite Laminated Structure (복합재 적층 구조물의 코너 부 파손 해석을 위한 자동화 소프트웨어 개발)

  • Hyeon, Ju-Ha;Moon, Yong-Ho;Ha, Seok-Wun
    • Journal of Convergence for Information Technology
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    • v.8 no.3
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    • pp.107-114
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    • 2018
  • Recently, as aviation industry has been activated, development of software related to composite materials has been demanded. Composite analysis requires specialized structural analysis and test evaluation. Therefore, it is necessary to use existing commercial software to analyze the composite structure, but existing commercial software only provides limited functions. Especially, since there is no specialized software for corner structure analysis of aerospace composites spa structure, much human resources and time are consumed in structural analysis. In order to solve this problem, we developed a GUI-based automation software based on user-friendly GUI that reflects the existing corner structure analysis procedure and provides multiple breakdown criteria. To verify the reliability of the structural analysis results of the developed software, it was confirmed that there is no problem in the structural analysis performance as a result of comparing with the existing analysis results.

Multivariate design estimations under copulas constructions. Stage-1: Parametrical density constructions for defining flood marginals for the Kelantan River basin, Malaysia

  • Latif, Shahid;Mustafa, Firuza
    • Ocean Systems Engineering
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    • v.9 no.3
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    • pp.287-328
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    • 2019
  • Comprehensive understanding of the flood risk assessments via frequency analysis often demands multivariate designs under the different notations of return periods. Flood is a tri-variate random consequence, which often pointing the unreliability of univariate return period and demands for the joint dependency construction by accounting its multiple intercorrelated flood vectors i.e., flood peak, volume & durations. Selecting the most parsimonious probability functions for demonstrating univariate flood marginals distributions is often a mandatory pre-processing desire before the establishment of joint dependency. Especially under copulas methodology, which often allows the practitioner to model univariate marginals separately from their joint constructions. Parametric density approximations often hypothesized that the random samples must follow some specific or predefine probability density functions, which usually defines different estimates especially in the tail of distributions. Concentrations of the upper tail often seem interesting during flood modelling also, no evidence exhibited in favours of any fixed distributions, which often characterized through the trial and error procedure based on goodness-of-fit measures. On another side, model performance evaluations and selections of best-fitted distributions often demand precise investigations via comparing the relative sample reproducing capabilities otherwise, inconsistencies might reveal uncertainty. Also, the strength & weakness of different fitness statistics usually vary and having different extent during demonstrating gaps and dispensary among fitted distributions. In this literature, selections efforts of marginal distributions of flood variables are incorporated by employing an interactive set of parametric functions for event-based (or Block annual maxima) samples over the 50-years continuously-distributed streamflow characteristics for the Kelantan River basin at Gulliemard Bridge, Malaysia. Model fitness criteria are examined based on the degree of agreements between cumulative empirical and theoretical probabilities. Both the analytical as well as graphically visual inspections are undertaken to strengthen much decisive evidence in favour of best-fitted probability density.

The Impact of Double-Skin Façades on Indoor Airflow in Naturally Ventilated Tall Office Buildings

  • Yohan, Kim;Mahjoub M. Elnimeiri;Raymond J. Clark
    • International Journal of High-Rise Buildings
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    • v.12 no.2
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    • pp.129-136
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    • 2023
  • Natural ventilation has proven to be an effective passive strategy in improving energy efficiency and providing healthy environments. However, such a strategy has not been commonly adopted to tall office buildings that traditionally rely on single-skin façades (SSFs), due to the high wind pressure that creates excessive air velocities and occupant discomfort at upper floors. Double-skin façades (DSFs) can provide an opportunity to facilitate natural ventilation in tall office buildings, as the fundamental components such as the additional skin and openings create a buffer to regulate the direct impact of wind pressure and the airflow around the buildings. This study investigates the impact of modified multi-story type DSFs on indoor airflow in a 60-story, 780-foot (238 m) naturally ventilated tall office building under isothermal conditions. Thus, the performance of wind effect related components was assessed based on the criteria (e.g., air velocity and airflow distribution), particularly with respect to opening size. Computational fluid dynamics (CFD) was utilized to simulate outdoor airflow around the tall office building, and indoor airflow at multiple heights in case of various DSF opening configurations. The simulation results indicate that the outer skin opening is the more influential parameter than the inner skin opening on the indoor airflow behavior. On the other hand, the variations of inner skin opening size help improve the indoor airflow with respect to the desired air velocity and airflow distribution. Despite some vortexes observed in the indoor spaces, cross ventilation can occur as positive pressure on the windward side and negative pressure on the other sides generate productive pressure differential. The results also demonstrate that DSFs with smaller openings suitably reduce not only the impact of wind pressure, but also the concentration of high air velocity near the windows on the windward side, compared to SSFs. Further insight on indoor airflow behaviors depending on DSF opening configurations leads to a better understanding of the DSF design strategies for effective natural ventilation in tall office buildings.

A Survey on Use of Vitamin.Mineral Supplements by Children in Daejeon City and Chungcheong Province in Korea (대전.충청지역 어린이의 비타민.무기질 보충제 섭취 실태)

  • Kim, Se-Na;Kim, Sun-Hyo
    • Journal of the Korean Society of Food Culture
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    • v.25 no.2
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    • pp.117-125
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    • 2010
  • We surveyed 821 children (ages 12-15 y) in Daejeon city and Cunngcheong province, Korea for their use of vitamin mineral supplements (VMS), either over-the-counter drugs and/or health functional foods (HFF). We also considered the significant variables of VMS use, including demographic characteristics, health-related variables, eating habits and nutritional beliefs of VMS by subjects. The frequency of VMS use was 24.8% and, in comparison to counterparts, it was higher in subjects attending middle school (p<0.001), in those living in a large city (p<0.001), in those with a high monthly family income (p<0.05), and in those with high concerns about school performance by parents (p<0.01). Selfhealth concerns by subjects (p<0.05) and concerns about health of offspring by parents (p<0.01) were higher in users than in nonusers. Eating habits of subjects did not affect the use of VMS. Users had a more positive view concerning the potential health benefits of VMS than did nonusers (p<0.05). Most users took VMS when they were healthy (78.9%) and expected 'disease prevention and health maintenance' (44.6%). However, most users did not feel any special effects from VMS use (58.8%), and they got their information on VMS through family and relatives (53.9%). Users of VMS preferred vitamin C supplements (44.2%) and Ca-supplements (56.9%). Therefore, the results show that VMS use is widely spread among the subjects, and that use of VMS is influenced by multiple variables and subjective criteria. Therefore, practical guidelines on VMS use for children's health and growth should be given through nutritional education.