Cement-based materials are brittle and crack easily under natural conditions.Cracks can reduce service life because the transport of harmful substances can cause corrosion damage to the structures.This review discusse...Cement-based materials are brittle and crack easily under natural conditions.Cracks can reduce service life because the transport of harmful substances can cause corrosion damage to the structures.This review discusses the feasibility of using microbial self-healing agents for crack healing.Tubular and spherical carriers can be used to load microbial self-healing agents and protect microbes,which prolongs the self-healing time.The area self-healing ratio,permeability,mechanical strength,precipitation depth method,numerical modeling,and ultrasonic method can be employed to identify the self-healing effect of cracks.Moreover,the self-healing mechanism is systematically analyzed.The results showed that microbial self-healing agents can repair cracks in cement-based materials in underground projects and dam gates.The difficulties and future development of self-healing cracks were analyzed.A microbial selfhealing agent was embedded in the cement-based material,which automatically repaired the developing cracks.With the development of intelligent building materials,self-healing cracks have become the focus of attention.展开更多
Recent technological developments have resulted in surveillance video becoming a primary method of preserving public security.Many city crimes are observed in surveillance video.The most abundant evidence collected by...Recent technological developments have resulted in surveillance video becoming a primary method of preserving public security.Many city crimes are observed in surveillance video.The most abundant evidence collected by the police is also acquired through surveillance video sources.Surveillance video footage offers very strong support for solving criminal cases,therefore,creating an effective policy and applying useful methods to the retrieval of additional evidence is becoming increasingly important.However,surveillance video has had its failings,namely,video footage being captured in low resolution(LR)and bad visual quality.In this paper,we discuss the characteristics of surveillance video and describe the manual feature registration-maximum a posteriori-projection onto convex sets to develop a super-resolution reconstruction method,which improves the quality of surveillance video.From this method,we can make optimal use of information contained in the LR video image,but we can also control the image edge clearly as well as the convergence of the algorithm.Finally,we make a suggestion on how to adjust the algorithm adaptability by analyzing the prior information of target image.展开更多
基金the National Natural Science Foundation of China(Grant No.51808483)the Natural Science Foundation of Jiangsu Province(No.BK20180930)Opening Funds of the Jiangsu Key Laboratory of Construction Materials(No.CM2018-02).
文摘Cement-based materials are brittle and crack easily under natural conditions.Cracks can reduce service life because the transport of harmful substances can cause corrosion damage to the structures.This review discusses the feasibility of using microbial self-healing agents for crack healing.Tubular and spherical carriers can be used to load microbial self-healing agents and protect microbes,which prolongs the self-healing time.The area self-healing ratio,permeability,mechanical strength,precipitation depth method,numerical modeling,and ultrasonic method can be employed to identify the self-healing effect of cracks.Moreover,the self-healing mechanism is systematically analyzed.The results showed that microbial self-healing agents can repair cracks in cement-based materials in underground projects and dam gates.The difficulties and future development of self-healing cracks were analyzed.A microbial selfhealing agent was embedded in the cement-based material,which automatically repaired the developing cracks.With the development of intelligent building materials,self-healing cracks have become the focus of attention.
文摘Recent technological developments have resulted in surveillance video becoming a primary method of preserving public security.Many city crimes are observed in surveillance video.The most abundant evidence collected by the police is also acquired through surveillance video sources.Surveillance video footage offers very strong support for solving criminal cases,therefore,creating an effective policy and applying useful methods to the retrieval of additional evidence is becoming increasingly important.However,surveillance video has had its failings,namely,video footage being captured in low resolution(LR)and bad visual quality.In this paper,we discuss the characteristics of surveillance video and describe the manual feature registration-maximum a posteriori-projection onto convex sets to develop a super-resolution reconstruction method,which improves the quality of surveillance video.From this method,we can make optimal use of information contained in the LR video image,but we can also control the image edge clearly as well as the convergence of the algorithm.Finally,we make a suggestion on how to adjust the algorithm adaptability by analyzing the prior information of target image.
