http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Fernando Cerda (검색결과 3 건)
- 무료
- 기관 내 무료
- 유료
-
Indirect structural health monitoring of a simplified laboratory-scale bridge model
Fernando Cerda,Siheng Chen,Jacobo Bielak,James H. Garrett,Piervincenzo Rizzo,Jelena Kovačević 국제구조공학회 2014 Smart Structures and Systems, An International Jou Vol.13 No.5
An indirect approach is explored for structural health bridge monitoring allowing for wide, yet cost-effective, bridge stock coverage. The detection capability of the approach is tested in a laboratory setting for three different reversible proxy types of damage scenarios: changes in the support conditions (rotational restraint), additional damping, and an added mass at the midspan. A set of frequency features is used in conjunction with a support vector machine classifier on data measured from a passing vehicle at the wheel and suspension levels, and directly from the bridge structure for comparison. For each type of damage, four levels of severity were explored. The results show that for each damage type, the classification accuracy based on data measured from the passing vehicle is, on average, as good as or better than the classification accuracy based on data measured from the bridge. Classification accuracy showed a steady trend for low (1-1.75 m/s) and high vehicle speeds (2-2.75 m/s), with a decrease of about 7% for the latter. These results show promise towards a highly mobile structural health bridge monitoring system for wide and cost-effective bridge stock coverage.
-
Indirect structural health monitoring of a simplified laboratory-scale bridge model
Cerda, Fernando,Chen, Siheng,Bielak, Jacobo,Garrett, James H.,Rizzo, Piervincenzo,Kovacevic, Jelena Techno-Press 2014 Smart Structures and Systems, An International Jou Vol.13 No.5
An indirect approach is explored for structural health bridge monitoring allowing for wide, yet cost-effective, bridge stock coverage. The detection capability of the approach is tested in a laboratory setting for three different reversible proxy types of damage scenarios: changes in the support conditions (rotational restraint), additional damping, and an added mass at the midspan. A set of frequency features is used in conjunction with a support vector machine classifier on data measured from a passing vehicle at the wheel and suspension levels, and directly from the bridge structure for comparison. For each type of damage, four levels of severity were explored. The results show that for each damage type, the classification accuracy based on data measured from the passing vehicle is, on average, as good as or better than the classification accuracy based on data measured from the bridge. Classification accuracy showed a steady trend for low (1-1.75 m/s) and high vehicle speeds (2-2.75 m/s), with a decrease of about 7% for the latter. These results show promise towards a highly mobile structural health bridge monitoring system for wide and cost-effective bridge stock coverage.
-
( Roberto Monreal Robles ),( Hugo L Gallardo Blanco ),( Fernando J Lavalle Gonzalez ),( Ricardo M Cerda Flores ),( Pavel Carrillo Molina ),( Minerva G Martinez Cavazos ),( Laura E Martinez Garza ),( J 대한내과학회 2014 대한내과학회 추계학술대회 Vol.2014 No.1
Background: Currently there are a growing number of individuals with type 2 diabetes (T2D) imposing a signifi cant public health burden due to disability and premature death. Diabetes is the most common cause of death in Mexico. It is estimated that 11.7 million Mexicans will have diabetes by the year 2025. The risk of developing T2D is determined by genetic and environmental factors. However, large differences in prevalence between ethnic groups exist and seem to depend on genetic factors. Nearly 40 different T2D susceptibility loci, mainly in Europeans have been identifi ed. The aim of this study was to identify susceptibility loci related to T2D in our population. Methods: We studied 128 SNPs in or near 42 genes, most of which had been replicated in other populations. A case-control association study comprising 186 controls, 211 early-onset T2D (diagnosed before 45 years of age) and 173 late-onset T2D individuals was conducted. Actually we preliminary reported the genotypifi cation analyses of 256 individuals. Results: Subjects with T2D independently of age at diagnosis have higher mass body index than controls (27.5 vs 25.7 kg/m2, P= <0.0001). The median age for early-onset T2D, late-onset T2D and controls individuals were 46, 61 and 62 years, respectively. Age at diagnosis for early-onset and late-onset T2D individuals was 35 and 52 years, respectively. The allelic variants of genes KCNJ11 (rs5219), LEPR (rs11208654), IGF2BP2 (rs4402960), VLDLR (rs2242103), KCNQ1 (rs2237892), RPTOR (rs12946115), SLC25A18 (rs1296819) show association with T2D in this preliminary analysis. These polymorphism previously mentioned affect directly or indirectly over insulin release and peripheral sensitivity. Conclusions: We found our population to have an important genetic predisposition to T2D. The associated susceptibility loci for T2D support the hypothesis that insulin release defects and peripheral resistance are the main mechanisms predisposing to T2D in Mexican population.
KISS연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
