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
Hot components operate in a high-temperature and high-pressure environment. The occurrence of a fault in hot components leads to high economic losses. In general, exhaust gas temperature(EGT) is used to monitor the pe...Hot components operate in a high-temperature and high-pressure environment. The occurrence of a fault in hot components leads to high economic losses. In general, exhaust gas temperature(EGT) is used to monitor the performance of hot components.However, during the early stages of a failure, the fault information is weak, and is simultaneously affected by various types of interference, such as the complex working conditions, ambient conditions, gradual performance degradation of the compressors and turbines, and noise. Additionally, inadequate effective information of the gas turbine also restricts the establishment of the detection model. To solve the above problems, this paper proposes an anomaly detection method based on frequent pattern extraction. A frequent pattern model(FPM) is applied to indicate the inherent regularity of change in EGT occurring from different types of interference. In this study, based on a genetic algorithm and support vector machine regression, the relationship model between the EGT and interference was tentatively built. The modeling accuracy was then further improved through the selection of the kernel function and training data. Experiments indicate that the optimal kernel function is linear and that the optimal training data should be balanced in addition to covering the appropriate range of operating conditions and ambient temperature. Furthermore, the thresholds based on the Pauta criterion that is automatically obtained during the modeling process, are used to determine whether hot components are operating abnormally. Moreover, the FPM is compared with the similarity theory, which demonstrates that the FPM can better suppress the effect of the component performance degradation and fuel heat value fluctuation. Finally, the effectiveness of the proposed method is validated on seven months of actual data obtained from a Titan130 gas turbine on an offshore oil platform. The results indicate that the proposed method can sensitively detect malfunctions in hot components during the early stages of a fault, and is robust to various types of interference.展开更多
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.
文摘Hot components operate in a high-temperature and high-pressure environment. The occurrence of a fault in hot components leads to high economic losses. In general, exhaust gas temperature(EGT) is used to monitor the performance of hot components.However, during the early stages of a failure, the fault information is weak, and is simultaneously affected by various types of interference, such as the complex working conditions, ambient conditions, gradual performance degradation of the compressors and turbines, and noise. Additionally, inadequate effective information of the gas turbine also restricts the establishment of the detection model. To solve the above problems, this paper proposes an anomaly detection method based on frequent pattern extraction. A frequent pattern model(FPM) is applied to indicate the inherent regularity of change in EGT occurring from different types of interference. In this study, based on a genetic algorithm and support vector machine regression, the relationship model between the EGT and interference was tentatively built. The modeling accuracy was then further improved through the selection of the kernel function and training data. Experiments indicate that the optimal kernel function is linear and that the optimal training data should be balanced in addition to covering the appropriate range of operating conditions and ambient temperature. Furthermore, the thresholds based on the Pauta criterion that is automatically obtained during the modeling process, are used to determine whether hot components are operating abnormally. Moreover, the FPM is compared with the similarity theory, which demonstrates that the FPM can better suppress the effect of the component performance degradation and fuel heat value fluctuation. Finally, the effectiveness of the proposed method is validated on seven months of actual data obtained from a Titan130 gas turbine on an offshore oil platform. The results indicate that the proposed method can sensitively detect malfunctions in hot components during the early stages of a fault, and is robust to various types of interference.
