Neo-Chinese style is popular nowadays and it is wildly used in rural landscape,with only few theories.Under the background of rural revitalization,this paper discussed practice types and design features of neo-Chinese...Neo-Chinese style is popular nowadays and it is wildly used in rural landscape,with only few theories.Under the background of rural revitalization,this paper discussed practice types and design features of neo-Chinese style in rural landscape.Some typical and famous villages of Ningbo,Quzhou and Lishui cities in Zhejiang Province were chosen as cases in this paper.It is committed to providing some theories,inheriting rural culture and promoting rural revitalization.展开更多
In recent times,the images and videos have emerged as one of the most important information source depicting the real time scenarios.Digital images nowadays serve as input for many applications and replacing the manua...In recent times,the images and videos have emerged as one of the most important information source depicting the real time scenarios.Digital images nowadays serve as input for many applications and replacing the manual methods due to their capabilities of 3D scene representation in 2D plane.The capabilities of digital images along with utilization of machine learning methodologies are showing promising accuracies in many applications of prediction and pattern recognition.One of the application fields pertains to detection of diseases occurring in the plants,which are destroying the widespread fields.Traditionally the disease detection process was done by a domain expert using manual examination and laboratory tests.This is a tedious and time consuming process and does not suffice the accuracy levels.This creates a room for the research in developing automation based methods where the images captured through sensors and cameras will be used for detection of disease and control its spreading.The digital images captured from the field’s forms the dataset which trains the machine learning models to predict the nature of the disease.The accuracy of these models is greatly affected by the amount of noise and ailments present in the input images,appropriate segmentation methodology,feature vector development and the choice of machine learning algorithm.To ensure the high rated performance of the designed system the research is moving in a direction to fine tune each and every stage separately considering their dependencies on subsequent stages.Therefore the most optimum solution can be obtained by considering the image processing methodologies for improving the quality of image and then applying statistical methods for feature extraction and selection.The training vector thus developed is capable of presenting the relationship between the feature values and the target class.In this article,a highly accurate system model for detecting the diseases occurring in citrus fruits using a hybrid feature development approach is proposed.The overall improvement in terms of accuracy is measured and depicted.展开更多
The implementation of the rural resettlement policy in southern Shaanxi has produced a lot of rural immigrants that need urgent resettlement. The subsequent settlement problem is the core issue of migration policy. Al...The implementation of the rural resettlement policy in southern Shaanxi has produced a lot of rural immigrants that need urgent resettlement. The subsequent settlement problem is the core issue of migration policy. All kinds of special background and demand of these "rural immigrants" put forward new requirements for resettlement planning. This paper explored the planning of rural immigrant relocation under the guidance of tourism industry, so as to create a new living environment for immigrants inheriting traditional cultural context, and revitalize the new urbanization of south Shaanxi. First, the paper briefly introduced the background of the rural resettlement policy in south Shaanxi. Second, taking the Phoenix Mountain Resort Park in Hanyin County for example, this paper used SWOT to analyze the feasibility of immigrant relocation in comprehensive tourist service area. Third, this paper elaborated the specific concepts and schemes.展开更多
The brushless doubly-fed machine(BDFM)has been widely used due to its advantages of robustness,reliable operation,ease of maintenance,adjustable power factor,small converter capacity and low cost.BDFM is attractive fo...The brushless doubly-fed machine(BDFM)has been widely used due to its advantages of robustness,reliable operation,ease of maintenance,adjustable power factor,small converter capacity and low cost.BDFM is attractive for use in many applications such as variable frequency speed regulation systems and variable speed constant frequency generation systems.Hence,there is a rapidly growing interest in design and control of BDFM.In this paper,the origin and development of BDFM are reviewed,the structural characteristics of BDFM are discussed at length,the principles of operation and design are analyzed,and the different control methods used for BDFM are overviewed and compared in detail.Finally,challenges and opportunities of BDFM are concluded.展开更多
Compared with general machining processes,additive manufacturing(AM) process has stabler planning route and limited process variables and this makes it to be more easily designed and planned with knowledge based syste...Compared with general machining processes,additive manufacturing(AM) process has stabler planning route and limited process variables and this makes it to be more easily designed and planned with knowledge based systems and computer aided techniques.Case based reasoning approach is applied to the process planning of additive manufacturing in this paper.The concept of "AM process relevant design features" is proposed after the analysis of the characteristics of AM processes.The concept is used as the basis of the knowledge representation,and AM relevant feature graph is used as the case representation schema.The case retrieval method is discussed based on this graph.The case representation of a machine arm is given to illustrate the brief process of the proposed approach.展开更多
基金the General Science Project of Zhejiang Education Department,China(Y202045325).
文摘Neo-Chinese style is popular nowadays and it is wildly used in rural landscape,with only few theories.Under the background of rural revitalization,this paper discussed practice types and design features of neo-Chinese style in rural landscape.Some typical and famous villages of Ningbo,Quzhou and Lishui cities in Zhejiang Province were chosen as cases in this paper.It is committed to providing some theories,inheriting rural culture and promoting rural revitalization.
基金This work was supported by Taif University Researchers Supporting Project(TURSP)under number(TURSP-2020/73)Taif University,Taif,Saudi Arabia。
文摘In recent times,the images and videos have emerged as one of the most important information source depicting the real time scenarios.Digital images nowadays serve as input for many applications and replacing the manual methods due to their capabilities of 3D scene representation in 2D plane.The capabilities of digital images along with utilization of machine learning methodologies are showing promising accuracies in many applications of prediction and pattern recognition.One of the application fields pertains to detection of diseases occurring in the plants,which are destroying the widespread fields.Traditionally the disease detection process was done by a domain expert using manual examination and laboratory tests.This is a tedious and time consuming process and does not suffice the accuracy levels.This creates a room for the research in developing automation based methods where the images captured through sensors and cameras will be used for detection of disease and control its spreading.The digital images captured from the field’s forms the dataset which trains the machine learning models to predict the nature of the disease.The accuracy of these models is greatly affected by the amount of noise and ailments present in the input images,appropriate segmentation methodology,feature vector development and the choice of machine learning algorithm.To ensure the high rated performance of the designed system the research is moving in a direction to fine tune each and every stage separately considering their dependencies on subsequent stages.Therefore the most optimum solution can be obtained by considering the image processing methodologies for improving the quality of image and then applying statistical methods for feature extraction and selection.The training vector thus developed is capable of presenting the relationship between the feature values and the target class.In this article,a highly accurate system model for detecting the diseases occurring in citrus fruits using a hybrid feature development approach is proposed.The overall improvement in terms of accuracy is measured and depicted.
文摘The implementation of the rural resettlement policy in southern Shaanxi has produced a lot of rural immigrants that need urgent resettlement. The subsequent settlement problem is the core issue of migration policy. All kinds of special background and demand of these "rural immigrants" put forward new requirements for resettlement planning. This paper explored the planning of rural immigrant relocation under the guidance of tourism industry, so as to create a new living environment for immigrants inheriting traditional cultural context, and revitalize the new urbanization of south Shaanxi. First, the paper briefly introduced the background of the rural resettlement policy in south Shaanxi. Second, taking the Phoenix Mountain Resort Park in Hanyin County for example, this paper used SWOT to analyze the feasibility of immigrant relocation in comprehensive tourist service area. Third, this paper elaborated the specific concepts and schemes.
基金National Natural Science Foundation of China(51537007)PhD Start-up Fund of Natural Science Foundation of Liaoning Province,China(20141072).
文摘The brushless doubly-fed machine(BDFM)has been widely used due to its advantages of robustness,reliable operation,ease of maintenance,adjustable power factor,small converter capacity and low cost.BDFM is attractive for use in many applications such as variable frequency speed regulation systems and variable speed constant frequency generation systems.Hence,there is a rapidly growing interest in design and control of BDFM.In this paper,the origin and development of BDFM are reviewed,the structural characteristics of BDFM are discussed at length,the principles of operation and design are analyzed,and the different control methods used for BDFM are overviewed and compared in detail.Finally,challenges and opportunities of BDFM are concluded.
文摘Compared with general machining processes,additive manufacturing(AM) process has stabler planning route and limited process variables and this makes it to be more easily designed and planned with knowledge based systems and computer aided techniques.Case based reasoning approach is applied to the process planning of additive manufacturing in this paper.The concept of "AM process relevant design features" is proposed after the analysis of the characteristics of AM processes.The concept is used as the basis of the knowledge representation,and AM relevant feature graph is used as the case representation schema.The case retrieval method is discussed based on this graph.The case representation of a machine arm is given to illustrate the brief process of the proposed approach.
