Industrial buildings are valuable heritage structures that should be sustained as well as historic buildings since the preservation of the traditional values in the context of conservation is important in terms of a s...Industrial buildings are valuable heritage structures that should be sustained as well as historic buildings since the preservation of the traditional values in the context of conservation is important in terms of a sense of the continuity of the culture. Kadir Has University building has been selected as the case study of the research. Success of the conversion and interventions in terms of sustainability will be discussed. The aim of the study is to question adaptive reuse project of the Cibali Tobacco Factory as university within the framework of urban regeneration of Cibali district. The relation between adaptive reuse projects and its relationship among socio-cultural, economic, and physical dimensions of the sustainability, also its effects on the environment and region has been discussed. Adaptive reuse examples should not be accepted as single projects. Its contribution to the environment and the region is also crucial. Preservation of an individual building can be a catalyst to renewal of others. It can help the transformation of the whole area. There is always an interaction between the conversion projects and the environment. In order to achieve a successful conversion, appropriate functions should be given to the industrial heritage buildings according to the needs of the region.展开更多
Adaptive Type-2 fuzzy control possesses control performance better than the traditional adaptive fuzzy control.However,heavy computation burden obviously blocks the utilization of adaptive Type-2 fuzzy control in indu...Adaptive Type-2 fuzzy control possesses control performance better than the traditional adaptive fuzzy control.However,heavy computation burden obviously blocks the utilization of adaptive Type-2 fuzzy control in industrial application.By adopting novel piecewise fuzzy sets and center-average type-reduction,a simplified adaptive interval Type-2 fuzzy controller involving less computation is developed for practical industrial application.In the proposed controller,the inputs are divided into several subintervals and then two piecewise fuzzy sets are used for each subinterval.With the manner of piecewise fuzzy sets and a novel fuzzy rules inference engine,only part of fuzzy rules are simultaneously activated in one control loop,which exponentially decreases the computation and makes the controller appropriate in industrial application.The simulation and experimental study,involving the popular magnetic levitation platform,shows the predicted system with theoretical stability and good tracking performance.The analysis indicates that there is far less computation of the proposed controller than the traditional adaptive interval Type-2 fuzzy controller,especially when the number of fuzzy rules and fuzzy sets is large,and the controller still maintains good control performance as the traditional one.展开更多
In order to enhance forecasting precision of problems about nonlinear time series in a complex industry system,a new nonlinear fuzzy adaptive variable weight combined forecasting model was established by using concept...In order to enhance forecasting precision of problems about nonlinear time series in a complex industry system,a new nonlinear fuzzy adaptive variable weight combined forecasting model was established by using conceptions of the relative error,the change tendency of the forecasted object,gray basic weight and adaptive control coefficient on the basis of the method of fuzzy variable weight.Based on Visual Basic 6.0 platform,a fuzzy adaptive variable weight combined forecasting and management system was developed.The application results reveal that the forecasting precisions from the new nonlinear combined forecasting model are higher than those of other single combined forecasting models and the combined forecasting and management system is very powerful tool for the required decision in complex industry system.展开更多
Shipboard operations as a hazardous process require the human element to be aware of any operation risks. Since the concept of human error exposed to ample arguments, the introduction of human element concerns to prac...Shipboard operations as a hazardous process require the human element to be aware of any operation risks. Since the concept of human error exposed to ample arguments, the introduction of human element concerns to practices rather than other means is essential because the provenance of accidents is human error. HRA (human reliability assessment) is a theoretical framework to assess the human actions for predicting the potential human error probability of a certain given task or operation scenario. Furthermore, surveillance of the human performance is through the task by steps and sub-steps. The CREAM (cognitive reliability and error analysis method) tool is the second generation of HRA which emphasizes the features of the context and utilized as retrospective and prospective tool. The paper illustrates the basic and extended version of CREAM and its suitability for critical shipboard operations safety assessment.展开更多
文摘Industrial buildings are valuable heritage structures that should be sustained as well as historic buildings since the preservation of the traditional values in the context of conservation is important in terms of a sense of the continuity of the culture. Kadir Has University building has been selected as the case study of the research. Success of the conversion and interventions in terms of sustainability will be discussed. The aim of the study is to question adaptive reuse project of the Cibali Tobacco Factory as university within the framework of urban regeneration of Cibali district. The relation between adaptive reuse projects and its relationship among socio-cultural, economic, and physical dimensions of the sustainability, also its effects on the environment and region has been discussed. Adaptive reuse examples should not be accepted as single projects. Its contribution to the environment and the region is also crucial. Preservation of an individual building can be a catalyst to renewal of others. It can help the transformation of the whole area. There is always an interaction between the conversion projects and the environment. In order to achieve a successful conversion, appropriate functions should be given to the industrial heritage buildings according to the needs of the region.
基金Project(51005253) supported by the National Natural Science Foundation of ChinaProject(2012ZX02702006-003) supported by the National Science and Technology Major Program of ChinaProject(JMTZ201101) supported by the Key Laboratory for Precision & Non-traditional Machining of Ministry of Education,Dalian University of Technology,China
文摘Adaptive Type-2 fuzzy control possesses control performance better than the traditional adaptive fuzzy control.However,heavy computation burden obviously blocks the utilization of adaptive Type-2 fuzzy control in industrial application.By adopting novel piecewise fuzzy sets and center-average type-reduction,a simplified adaptive interval Type-2 fuzzy controller involving less computation is developed for practical industrial application.In the proposed controller,the inputs are divided into several subintervals and then two piecewise fuzzy sets are used for each subinterval.With the manner of piecewise fuzzy sets and a novel fuzzy rules inference engine,only part of fuzzy rules are simultaneously activated in one control loop,which exponentially decreases the computation and makes the controller appropriate in industrial application.The simulation and experimental study,involving the popular magnetic levitation platform,shows the predicted system with theoretical stability and good tracking performance.The analysis indicates that there is far less computation of the proposed controller than the traditional adaptive interval Type-2 fuzzy controller,especially when the number of fuzzy rules and fuzzy sets is large,and the controller still maintains good control performance as the traditional one.
基金Project(08SK1002) supported by the Major Project of Science and Technology Department of Hunan Province,China
文摘In order to enhance forecasting precision of problems about nonlinear time series in a complex industry system,a new nonlinear fuzzy adaptive variable weight combined forecasting model was established by using conceptions of the relative error,the change tendency of the forecasted object,gray basic weight and adaptive control coefficient on the basis of the method of fuzzy variable weight.Based on Visual Basic 6.0 platform,a fuzzy adaptive variable weight combined forecasting and management system was developed.The application results reveal that the forecasting precisions from the new nonlinear combined forecasting model are higher than those of other single combined forecasting models and the combined forecasting and management system is very powerful tool for the required decision in complex industry system.
文摘Shipboard operations as a hazardous process require the human element to be aware of any operation risks. Since the concept of human error exposed to ample arguments, the introduction of human element concerns to practices rather than other means is essential because the provenance of accidents is human error. HRA (human reliability assessment) is a theoretical framework to assess the human actions for predicting the potential human error probability of a certain given task or operation scenario. Furthermore, surveillance of the human performance is through the task by steps and sub-steps. The CREAM (cognitive reliability and error analysis method) tool is the second generation of HRA which emphasizes the features of the context and utilized as retrospective and prospective tool. The paper illustrates the basic and extended version of CREAM and its suitability for critical shipboard operations safety assessment.