The difference of Teaching Mode of Graphic Design Major in Chinese and American Universities

This article is based on personal visits to Louisiana State University in the United States.It analyzes and introduces the hotspots of curriculum design,training methods,learning environment,professional ability and quality training of graphic design majors in American public comprehensive universities.Analyze the teaching concepts and methods that are inspiring for the relevant design courses for our country from a personal perspective,and gain insights into the deep-seated problems in the cultivation of design innovation capabilities in China and the United States,in order to arouse everyone’s reflection and further develop our country’s design educational reform ideas.

The evolution of George Town’s urban morphology in the Straits of Malacca,late 18th century-early 21st century

George Town is a significant World Heritage Site in the Straits of Malacca.This paper examined the evolution of urban morphology in George Town within geography,politics,economy,and culture in a horizontal dimension and layer upon layer in a vertical dimension.In this study,to ensure the objectives are achieved,qualitative methods will be applied including several approaches such as literature review,interpretation of archives chronologically,maps study,census returns,trade directories,photographs and postcards,and urban master plan study.The research is based on the analysis of urban construction,land use,economic development,and municipal policies.First,study the urban morphology in a specific period,and construct the inner layer structure in each period.Second,an analogy is drawn among the evolution of the urban morphology by time-scale,this section focusses on the historical conjunctures and events related to the urban construction.An important contribution can be made to the conservation and management of urban built heritage in George Town,on the one hand,explaining the evolution of urban morphology by examining George Tow nphysical and spatial environment,and in turn,on the other hand,understanding about the physical and spatial environment by examining the urban morphology.

Development of deep neural network model to predict the compressive strength of FRCM confined columns

The present study describes a reliability analysis of the strength model for predicting concrete columns confinement influence with Fabric-Reinforced Cementitious Matrix(FRCM).through both physical models and Deep Neural Network model(artificial neural network(ANN)with double and triple hidden layers).The database of 330 samples collected for the training model contains many important parameters,i.e.,section type(circle or square),corner radius rc,unconfined concrete strength fco,thickness nt,the elastic modulus of fiber Ef,the elastic modulus of mortar Em.The results revealed that the proposed ANN models well predicted the compressive strength of FRCM with high prediction accuracy.The ANN model with double hidden layers(APDL-1)was shown to be the best to predict the compressive strength of FRCM confined columns compared with the ACI design code and five physical models.Furthermore,the results also reveal that the unconfined compressive strength of concrete,type of fiber mesh for FRCM,type of section,and the corner radius ratio,are the most significant input variables in the efficiency of FRCM confinement prediction.The performance of the proposed ANN models(including double and triple hidden layers)had high precision with R higher than 0.93 and RMSE smaller than 0.13,as compared with other models from the literature available.