The processes of building dynamic and static relationships between secondary and primary variables are usually integrated in most of nonlinear dynamic soft sensor models. However, such integration limits the estimatio...The processes of building dynamic and static relationships between secondary and primary variables are usually integrated in most of nonlinear dynamic soft sensor models. However, such integration limits the estimation accuracy of soft sensor models. Wiener model effectively describes dynamic and static characteristics of a system with the structure of dynamic and static submodels in cascade. We propose a soft sensor model derived from Wiener model structure, which is an extension of Wiener model. Dynamic and static relationships between secondary and primary variables are built respectively to describe the dynamic and static characteristics of system. The feasibility of this model is verified. Then the expression of discrete model is derived for soft sensor system. Conjugate gradient algorithm is applied to identify the dynamic and static model parameters alternately. Corresponding update method for soft sensor system is also given. Case studies confirm the effectiveness of the proposed model, alternate identification algorithm, and update method.展开更多
This paper investigates social dimensions in the Libyan family and their relationship to the common practice of bribery. In Libya, bribery is most noticeable in administrative contexts where other practices such as fa...This paper investigates social dimensions in the Libyan family and their relationship to the common practice of bribery. In Libya, bribery is most noticeable in administrative contexts where other practices such as favouritism, fraud and forgery are also found. The paper aims to make an original contribution to knowledge in a little-researched area by examining social dimensions and cultural practices. The paper is based on the basic assumption that there is a relationship between accepting bribes and social dimensions surrounding the family in Libya and will thus also examine bribery as a social culture, by means of a set of variables such as gifts, promises, assistance and loans. The study took place in Benghazi, Libya, where the number of employees exceeded 200. The study was conducted using an interpretative epistemology and a quantitative method. Data were collected using quantitative research instruments and the Statistical Package for the Social Sciences （SPSS） was used to analyse the data. The findings of the study suggest that there is a relationship between family relationships, social status and the commission of the crime of bribery except for variables of social status and cultural background, in addition to the social relationship＇s effect on administration.展开更多
基金Supported by the National Natural Science Foundation of China(61104218,21006127)the National Basic Research Program of China(2012CB720500)the Science Foundation of China University of Petroleum(YJRC-2013-12)
文摘The processes of building dynamic and static relationships between secondary and primary variables are usually integrated in most of nonlinear dynamic soft sensor models. However, such integration limits the estimation accuracy of soft sensor models. Wiener model effectively describes dynamic and static characteristics of a system with the structure of dynamic and static submodels in cascade. We propose a soft sensor model derived from Wiener model structure, which is an extension of Wiener model. Dynamic and static relationships between secondary and primary variables are built respectively to describe the dynamic and static characteristics of system. The feasibility of this model is verified. Then the expression of discrete model is derived for soft sensor system. Conjugate gradient algorithm is applied to identify the dynamic and static model parameters alternately. Corresponding update method for soft sensor system is also given. Case studies confirm the effectiveness of the proposed model, alternate identification algorithm, and update method.
文摘This paper investigates social dimensions in the Libyan family and their relationship to the common practice of bribery. In Libya, bribery is most noticeable in administrative contexts where other practices such as favouritism, fraud and forgery are also found. The paper aims to make an original contribution to knowledge in a little-researched area by examining social dimensions and cultural practices. The paper is based on the basic assumption that there is a relationship between accepting bribes and social dimensions surrounding the family in Libya and will thus also examine bribery as a social culture, by means of a set of variables such as gifts, promises, assistance and loans. The study took place in Benghazi, Libya, where the number of employees exceeded 200. The study was conducted using an interpretative epistemology and a quantitative method. Data were collected using quantitative research instruments and the Statistical Package for the Social Sciences （SPSS） was used to analyse the data. The findings of the study suggest that there is a relationship between family relationships, social status and the commission of the crime of bribery except for variables of social status and cultural background, in addition to the social relationship＇s effect on administration.
