(Norma brasileira) abnt cb 025 qualidade - [abnt nbr iso 19011-2018] diretrizes para auditoria de sistemas de gestão (versão corrigida_ 2019). abnt nbr iso 19011_2018-abnt - associação brasileira de n
In recent years, there has been an increasing interest in permanent observation of the dynamic behaviour of bridges for longterm
monitoring purpose. This is due not only to the ageing of a lot of structures, but also for dealing with the increasing
complexity of new bridges. The long-term monitoring of bridges produces a huge quantity of data that need to be effectively
processed. For this purpose, there has been a growing interest on the application of soft computing methods. In particular,
this work deals with the applicability of Bayesian neural networks for the identification of damage of a cable-stayed bridge.
The selected structure is a real bridge proposed as benchmark problem by the Asian-Pacific Network of Centers for Research
in Smart Structure Technology (ANCRiSST). They shared data coming from the long-term monitoring of the bridge with the
structural health monitoring community in order to assess the current progress on damage detection and identification
methods with a full-scale example. The data set includes vibration data before and after the bridge was damaged, so they are
useful for testing new approaches for damage detection. In the first part of the paper, the Bayesian neural network model is
discussed; then in the second part, a Bayesian neural network procedure for damage detection has been tested. The proposed
method is able to detect anomalies on the behaviour of the structure, which can be related to the presence of damage. In order
to obtain a confirmation of the obtained results, in the last part of the paper, they are compared with those obtained by using a
traditional approach for vibration-based structural identification.
A presentation on sanitation workers, who sweep and collect garbage, in Hyderabad in Telugu. This was done in 2012. It is about what needs to be done for them, to better their lives.
In recent years, there has been an increasing interest in permanent observation of the dynamic behaviour of bridges for longterm
monitoring purpose. This is due not only to the ageing of a lot of structures, but also for dealing with the increasing
complexity of new bridges. The long-term monitoring of bridges produces a huge quantity of data that need to be effectively
processed. For this purpose, there has been a growing interest on the application of soft computing methods. In particular,
this work deals with the applicability of Bayesian neural networks for the identification of damage of a cable-stayed bridge.
The selected structure is a real bridge proposed as benchmark problem by the Asian-Pacific Network of Centers for Research
in Smart Structure Technology (ANCRiSST). They shared data coming from the long-term monitoring of the bridge with the
structural health monitoring community in order to assess the current progress on damage detection and identification
methods with a full-scale example. The data set includes vibration data before and after the bridge was damaged, so they are
useful for testing new approaches for damage detection. In the first part of the paper, the Bayesian neural network model is
discussed; then in the second part, a Bayesian neural network procedure for damage detection has been tested. The proposed
method is able to detect anomalies on the behaviour of the structure, which can be related to the presence of damage. In order
to obtain a confirmation of the obtained results, in the last part of the paper, they are compared with those obtained by using a
traditional approach for vibration-based structural identification.
A presentation on sanitation workers, who sweep and collect garbage, in Hyderabad in Telugu. This was done in 2012. It is about what needs to be done for them, to better their lives.
¿Qué aprendemos de las evaluaciones para una prevención más efectiva?. Patricio Tudela Poblete
En Prevención del delito y la violencia. Reflexiones desde la academia y los territorios. Vanderschueren, Franz (Edit). Ediciones Universidad Alberto Hurtado, Santiago. 57-76 p.
Automação industrial é a aplicação de técnicas, softwares e/ou equipamentos específicos em uma determinada máquina ou processo industrial, com o objetivo de aumentar a sua eficiência, maximizar a produção com o menor consumo de energia e/ou matérias primas, menor emissão de resíduos de qualquer espécie, melhores condições de segurança, seja material, humana ou das informações referentes a esse processo, ou ainda, de reduzir o esforço ou a interferência humana sobre esse processo ou máquina. É um passo além da mecanização, onde operadores humanos são providos de maquinaria para auxiliá-los em seus trabalhos.
Entre os dispositivos eletroeletrônicos que podem ser aplicados estão os computadores ou outros dispositivos capazes de efetuar operações lógicas, como controladores lógicos programáveis, microcontroladores, SDCDs ou CNCs. Estes equipamentos em alguns casos, substituem tarefas humanas ou realizam outras que o ser humano não consegue realizar.
Marsiye - Maulana Farzand Husain Naqavi Zakhir* Ijtihadi Jamal Mirza
maulana Zakhir Ijtihadi Sahab ke 5 Marsiye:
Jo 1336 Hijri se 1343 Hijri ke darmiyan tasneef kiye gaey.
InmeiN se eik Marsia 130 Band ka hai aur baaqi 4 Marasi
mein se har Marsia taqreeban 150 band ka hai.
Mirza Jamal.
¿Qué aprendemos de las evaluaciones para una prevención más efectiva?. Patricio Tudela Poblete
En Prevención del delito y la violencia. Reflexiones desde la academia y los territorios. Vanderschueren, Franz (Edit). Ediciones Universidad Alberto Hurtado, Santiago. 57-76 p.
Automação industrial é a aplicação de técnicas, softwares e/ou equipamentos específicos em uma determinada máquina ou processo industrial, com o objetivo de aumentar a sua eficiência, maximizar a produção com o menor consumo de energia e/ou matérias primas, menor emissão de resíduos de qualquer espécie, melhores condições de segurança, seja material, humana ou das informações referentes a esse processo, ou ainda, de reduzir o esforço ou a interferência humana sobre esse processo ou máquina. É um passo além da mecanização, onde operadores humanos são providos de maquinaria para auxiliá-los em seus trabalhos.
Entre os dispositivos eletroeletrônicos que podem ser aplicados estão os computadores ou outros dispositivos capazes de efetuar operações lógicas, como controladores lógicos programáveis, microcontroladores, SDCDs ou CNCs. Estes equipamentos em alguns casos, substituem tarefas humanas ou realizam outras que o ser humano não consegue realizar.
Marsiye - Maulana Farzand Husain Naqavi Zakhir* Ijtihadi Jamal Mirza
maulana Zakhir Ijtihadi Sahab ke 5 Marsiye:
Jo 1336 Hijri se 1343 Hijri ke darmiyan tasneef kiye gaey.
InmeiN se eik Marsia 130 Band ka hai aur baaqi 4 Marasi
mein se har Marsia taqreeban 150 band ka hai.
Mirza Jamal.
(Norma brasileira) abnt cb 025 qualidade - [abnt nbr iso 19011-2018] diretrizes para auditoria de sistemas de gestão (versão corrigida_ 2019). abnt nbr iso 19011_2018-abnt - associação brasileira de n