• Title/Summary/Keyword: Statistical moment

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Bayesian approach for the accuracy evaluating of the seismic demand estimation of SMRF

  • Ayoub Mehri Dehno;Hasan Aghabarati;Mehdi Mahdavi Adeli
    • Earthquakes and Structures
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    • v.26 no.2
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    • pp.117-130
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    • 2024
  • Probabilistic model of seismic demand is the main tool used for seismic demand estimation, which is a fundamental component of the new performance-based design method. This model seeks to mathematically relate the seismic demand parameter and the ground motion intensity measure. This study is intended to use Bayesian analysis to evaluate the accuracy of the seismic demand estimation of Steel moment resisting frames (SMRFs) through a completely Bayesian method in statistical calculations. In this study, two types of intensity measures (earthquake intensity-related indices such as magnitude and distance and intensity indices related to ground motion and spectral response including peak ground acceleration (PGA) and spectral acceleration (SA)) have been used to form the models. In addition, an extensive database consisting of sixty accelerograms was used for time-series analysis, and the target structures included five SMRFs of three, six, nine, twelve and fifteen stories. The results of this study showed that for low-rise frames, first mode spectral acceleration index is sufficient to accurately estimate demand. However, for high-rise frames, two parameters should be used to increase the accuracy. In addition, adding the product of the square of earthquake magnitude multiplied by distance to the model can significantly increase the accuracy of seismic demand estimation.

A Study on the Consumers' Intention to Visit Restaurants in COVID-19 Endemic (COVID-19 엔데믹 상황에서 소비자들의 레스토랑 방문의도에 관한 연구)

  • Hyun Ju Yun;Jee Hye Lee
    • Journal of the Korean Dietetic Association
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    • v.30 no.1
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    • pp.29-40
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    • 2024
  • Coronavirus disease-2019 (COVID-19) has led to a decline in restaurant visits, which in turn has changed the decision-making process of consumers. This study aimed to investigate the factors influencing visit intention during the COVID-19 endemic by employing the expanded theory of planned behavior. A total of 291 samples were collected through an online survey for the analysis. Confirmatory factor analysis, correlation analysis, and structural equation path analysis were performed on the collected data using the Analysis of Moment Structures (AMOS) statistical program. The findings of the study revealed the positive effects of attitude and perceived behavioral control and the negative effects of subjective norms on desire. Second, desire played a mediating role between antecedent variables (attitude, subjective norm, perceived behavioral control) and the visit intention. These findings are meaningful in that they expand the theory of planned behavior during the COVID-19 endemic based on factors that affect visit intention.

Steganalysis Using Histogram Characteristic and Statistical Moments of Wavelet Subbands (웨이블릿 부대역의 히스토그램 특성과 통계적 모멘트를 이용한 스테그분석)

  • Hyun, Seung-Hwa;Park, Tae-Hee;Kim, Young-In;Kim, Yoo-Shin;Eom, Il-Kyu
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.47 no.6
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    • pp.57-65
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    • 2010
  • In this paper, we present a universal steganalysis scheme. The proposed method extract features of two types. First feature set is extracted from histogram characteristic of the wavelet subbands. Second feature set is determined by statistical moments of wavelet characteristic functions. 3-level wavelet decomposition is performed for stego image and cover image using the Haar wavelet basis. We extract one features from 9 high frequency subbands of 12 subbands. The number of second features is 39. We use total 48 features for steganalysis. Multi layer perceptron(MLP) is applied as classifier to distinguish between cover images and stego images. To evaluate the proposed steganalysis method, we use the CorelDraw image database. We test the performance of our proposed steganalysis method over LSB method, spread spectrum data hiding method, blind spread spectrum data hiding method and F5 data hiding method. The proposed method outperforms the previous methods in sensitivity, specificity, error rate and area under ROC curve, etc.

The Effect of Sampling Rate on Statistical Properties of Extreme Wave (파랑자료의 sampling rate가 극한파의 통계에 미치는 영향)

  • Kim, Do Young
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.16 no.1
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    • pp.36-41
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    • 2013
  • In this paper time series wave data are simulated using wave spectrum with random phases of the wave signal. The simulated wave signals are used to study the effect of the sampling rate on the ocean wave characteristics. Effect of sampling rate on wave data which include extreme wave such as freak waves are examined and various wave characteristics including abnormality index (AI), kurtosis of wave profile and maximum wave height are examined. Various wave heights are decreased as the sampling rate decreases. The zero-th moment of the wave spectrum does not affect much on the sampling rate but the second moment are greately affected on the sampling rate. The error due to the sampling rate is decreases as the wave period increases. The error in significant wave height based on the wave spectrum $H_s$ is smaller than that on the time domain method $H_{1/3}$. AI index and kurtosis of wave profile do not deviate much from the exact date as long as the sampling rate is greater than 1 Hz. Ocean wave measurement with the sampling frequency higher than 1 Hz will result the error less than 5% in estimating the height of extreme waves.

Analysis of Biomechanical Changes According to Mechanical Alignment of the Lower Limbs when Gait with a Material Handling (중량물 취급 보행 시 하지의 역학적 정렬에 따른 생체역학적 변화 분석)

  • Lee, Kyung-Ill;Lee, Chul-Gab;Song, Han-Soo;Hong, Wan-Ki
    • Korean Journal of Applied Biomechanics
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    • v.25 no.2
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    • pp.183-190
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    • 2015
  • Objective : Walking with a Material handling is an activity frequently undertaken by agricultural workers in Korea, due to the nature of their work. This study aimed to investigate differences in biomechanical variables according to the mechanical alignment of the lower limbs when walking with a heavy load, and to use this as basic data in the design of various working environments to reduce the skeletomuscular burden on the knee joint. Method : The study subjects comprised of 22 right-foot dominant adult men and women aged between 20 and 23 years. The subjects were divided into a varus or valgus group according to the mechanical alignment of the lower limb by using radiographic findings. The subjects walked without any load and with a load of 10%, 20%, or 30% of their body weight held in front of them. The Kwon3d XP program was used to calculate biomechanical variables. Results : The flexion/extension moment of the knee joint showed a decreasing trend with increased load, irrespective of the mechanical alignment of the lower limb, while the varus group did not show normal compensatory action when supported by one leg at the point of maximum vertical ground reaction force. In addition, in terms of the time taken, subjects showed no difficulties in one-foot support time up to 20%/BW, but at 30%/BW, despite individual differences, there was an increase in single limb. The increased load resulted in a decrease in the ratio of standing phase to ensure physical stability. The valgus group showed a trend of increasing the stability of their center of mass with increasing load, through higher braking power in the early standing phase. Conclusion : In conclusion, although there was no statistical difference in biomechanical variables according to the mechanical alignment of the lower limbs, the varus group showed a more irregular walking pattern with a Material handling than the valgus group, partially proving the association between lower limb alignment and walking with a Material handling.

Comet Assay as a New DNA-Level Approach for Aquatic Ecosystem Health Assessments

  • Sung, Min-Sun;Lee, Sang-Jae;Lee, Jae-Hoon;Park, Sun-Young;Ly, Sun-Yung;An, Kwang-Guk
    • Korean Journal of Ecology and Environment
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    • v.41 no.4
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    • pp.466-471
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    • 2008
  • Little is known about DNA-level and physiological levels for health assessments of stream or river environments. Recently, comet assay, so called Single Cell Gel Electrophoresis (SCGE) is introduced for assessments of DNA damage in the medical science, food science and mammal toxicology. The comet assay is known as a biomarker which is one of the best barometers in assessing the DNA damage by oxidative stress. In this study, we conducted the comet assay using sentinel species, Zacco platypus, as one of the pre-warning alarm systems for the aquatic ecosystem health assessments and also applied it to Gap Stream as a model system. Tail extent moments in the S1 and S2 were 5.20 and 9.90 respectively and the moment was 19.89 in the S3. Statistical ANOVA in the tail moments showed a significant difference (n=75, p<0.05) between S1 and S3. Also, the proportions of DNA in the tail were 14.47, 23.64, and $30.04{\mu}m$ in the upstream (control site), midstream, downstream sites, respectively. Our results in the downstream were accord with previous studies of individual-level, population-level, and community-level in Gap Stream. Our results suggest that the comet assay may be used as an important tool for diagnosing ecological health of aquatic ecosystems in the level of DNA.

Measurement and Assessment on the Shaft Power Measurement of Diesel Engine using Strain Gauge in Marine Vessel (선박에서 스트레인 게이지를 이용한 디젤엔진의 축 동력 측정과 평가)

  • Lee, Don-Chool;Song, Myong-Ho;Kim, Sang-Hwan
    • Journal of Advanced Marine Engineering and Technology
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    • v.33 no.8
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    • pp.1152-1161
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    • 2009
  • The power measurement of main propulsion system on the new vessels can be classified with the direct method acquired from the shaft's strain using strain gauge and the indirect method converted and summed from all of cylinders combustion pressure using mechanical or electrical pickup device during the sea trial. This power is fluctuated by external factors which was influenced by various sea motions with long time interval and by internal factors which was influenced by varying torques of torsional vibration and bending moment, due to mis-aligned shaft and whirling vibration with short time interval. In this paper, the statistical analysis method for the shaft power measurement and assessment using strain gauge in marine vessels are introduced. And these are identified by the low speed two stroke diesel engine model and four stroke medium speed diesel engine model including reduction gear.

On the assessment of modal nonlinear pushover analysis for steel frames with semi-rigid connections

  • Zarfam, Panam;Mofid, Massood
    • Structural Engineering and Mechanics
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    • v.32 no.3
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    • pp.383-398
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    • 2009
  • Applying nonlinear statistical analysis methods in estimating the performance of structures in earthquakes is strongly considered these days. This is due to the methods' simplicity, timely lower cost and reliable estimation in seismic responses in comparison with time-history nonlinear dynamic analysis. Among nonlinear methods, simplified to be incorporated in the future guidelines, Modal Pushover Analysis, known by the abbreviated name of MPA, simply models nonlinear behavior of structures; and presents a very proper estimation of nonlinear dynamic analysis using lateral load pattern appropriate to the mass. Mostly, two kinds of connecting joints, 'hinge' and 'rigid', are carried out in different type of steel structures. However, it should be highly considered that nominal hinge joints usually experience some percentages of fixity and nominal rigid connections do not employ totally rigid. Therefore, concerning the importance of these structures and the significant flexibility effect of connections on force distribution and elements deformation, these connections can be considered as semi-rigid with various percentages of fixity. Since it seems, the application and implementation of MPA method has not been studied on moment-resistant steel frames with semi rigid connections, this research focuses on this topic and issue. In this regard several rigid and semi-rigid steel bending frames with different percentages of fixity are selected. The structural design is performed based on weak beam and strong column. Followed by that, the MPA method is used as an approximated method and Nonlinear Response History Analysis (NL-RHA) as the exact one. Studying the performance of semi-rigid frames in height shows that MPA technique offers reasonably reliable results in these frames. The methods accuracy seems to decrease, when the number of stories increases and does decrease in correlation with the semi-rigidity percentages. This generally implies that the method can be used as a proper device in seismic estimation of different types of low and mid-rise buildings with semi-rigid connections.

Case Report of Low Back Pain patient treated with Motion Style Treatment (M.S.T로 호전된 요통 환자 1례 보고)

  • Kwon, Seung-Ro;You, Hye-Kyung;Kim, Kyu-Tae
    • The Journal of Korea CHUNA Manual Medicine
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    • v.5 no.1
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    • pp.93-100
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    • 2004
  • Low back pain(LBP) is known as one of the diseases that produce severe pains with 80% of the whole population having experienced it and reported that, even at this moment, 20-30% of the world population is suffering from it. The writer has performed 'Conservative remedies (non-surgical procedures taken)' from $1^{st}$ of January 2003 to $31^{st}$ of December the same year for 76 cases who have been hospitalized in Jaseng Hospital and adopted as having been diagnosed either HIVD L4-5 or HIVD L5-S 1 or as having both. The clinical analysis was made through statistical researches which include : the changing degree in SLR test of the Cheongpa-Jeon(CP) taking patient group and the non-taking group, the change of VAS (Visual analogue scale) against pains, and the days of hospital treatment. The result demonstrated that the CP taking group showed higher changes in SLR test, bigger reduction In VAS changes and the days for hospitalization shorter than the group that didn't take CP.

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Identifying the Effect of Service Quality Attributes on an Overall Customer Satisfaction by the Foodservice Type and the Contract Management Company(CMC) Scale (급식 대상 유형과 위탁급식전문업체 규모별 고객 만족도에 영향을 미치는 서비스 품질 속성의 규명)

  • Park, Mun-Gyeong
    • Journal of the Korean Dietetic Association
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    • v.13 no.2
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    • pp.138-156
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    • 2007
  • The purposes of this study were to a) measure the service quality attributes of foodservice type such as school foodservice, hospital foodservice and business & industry(B&I) foodservice, managed by contract management company(CMC), b) compare with service quality attributes by CMC scale, c) analyze overall customer satisfaction(CS) by the foodservice type and the CMC scale, and d) identify the effect of service quality attributes on an overall CS by the foodservice type and the CMC scale. The questionnaires were handed out to 6,620 customers of 207 school, 38 hospital, and 86 B&I foodservices in 108 CMCs. The statistical data analysis was completed using SPSS Win(ver 12.0) for descriptive analysis, t-test, reliability analysis, and multiple linear regression analysis. From an analysis on service quality attributes, 'proper arrangement of table and chair at hall distribution(3.53)', 'operation of nutrition education(3.50)' were highly perceived to student, 'correctable serving(4.08)', 'serve at fixed distribution time(4.08)', 'kindness of serving employee(4.04)' were highly perceived to patient, 'employee's kindness(3.84)' were highly perceived to customer of B&I. In comparison of service quality attributes by CMC scale, most scores of large enterprise(LE) were significantly higher than small and medium sized enterprise(SME) in school foodservice, hospital foodservice and B&I foodservice. Overall CS levels were 3.53 out of a maximum 5 on B&I, 3.46 on school, and 3.44 on hospital and were evaluated differently CS score by CMC scale. Finally, regression results for the effects of service quality attributes on overall CS by each of foodservice type were identified significantly different service quality attributes by foodservice type such as school, hospital, B&I(p<.001) and by CMC scale. For considering the goal of enterprise on profit-making through CS and the needs of customer on CS at moment of truth(MOT), the findings should be applied to the CMC and the foodservice industry.

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