The entropy production rate of stationary minimal diffusion processes with smooth coefficients is calculated. As a byproduct, the continuity of paths of the minimal diffusion processes is discussed, and that the point...The entropy production rate of stationary minimal diffusion processes with smooth coefficients is calculated. As a byproduct, the continuity of paths of the minimal diffusion processes is discussed, and that the point at infinity is absorbing is proved.展开更多
Scheduling problem is a well-known combinatorial optimization problem.An effective improved estimation of distribution algorithm(IEDA) was proposed for minimizing the makespan of the unrelated parallel machine schedul...Scheduling problem is a well-known combinatorial optimization problem.An effective improved estimation of distribution algorithm(IEDA) was proposed for minimizing the makespan of the unrelated parallel machine scheduling problem(UPMSP).Mathematical description was given for the UPMSP.The IEDA which was combined with variable neighborhood search(IEDA_VNS) was proposed to solve the UPMSP in order to improve local search ability.A new encoding method was designed for representing the feasible solutions of the UPMSP.More knowledge of the UPMSP were taken consideration in IEDA_ VNS for probability matrix which was based the processing time matrix.The simulation results show that the proposed IEDA_VNS can solve the problem effectively.展开更多
The demand for processed foods and the awareness about food quality and safety are increasing rapidly.The consumers’demand for minimally processed foods and growing competition in the market have made the processors ...The demand for processed foods and the awareness about food quality and safety are increasing rapidly.The consumers’demand for minimally processed foods and growing competition in the market have made the processors to adopt newer non-thermal technologies that preserve nutrients and sensory properties of the products.Conventionally,heat processing of foods is carried out to convert raw material into value-added product,reduce or eliminate microbial load to improve safety,and extend shelf life.Some of the limitations of thermal processing techniques can be overcome by employing non-thermal processes.High hydrostatic pressure,pulsed electric field,ultrasound,cold plasma,dense phase carbon dioxide,ozone,and pulsed light(PL)processing are gaining popularity in food processing.PL technology is a non-thermal technology,where sterilization and decontamination are achieved by impinging high-intensity light pulses of short durations on surfaces of foods and high-transmission liquids.Although a few reports on the PL technology are available,in-depth studies on this are needed to adopt at a commercial level.The present review provides an overview of light-based processing of foods and covers important aspects such as different PL systems used for processing of foods,mode of action of PL on microbes,the effect of PL on liquid foods,surface decontamination of foods and parameters that affect PL efficacy,combination processing with PL.With the growing demand in non-thermal processing for the technological advancement in the area of generation of light,light-based processing will be a promising technology for microbial load reduction.展开更多
Because texture images cannot be directly processed by the gray level information of individual pixel,we propose a new texture descriptor which reflects the intensity distribution of the patch centered at each pixel.T...Because texture images cannot be directly processed by the gray level information of individual pixel,we propose a new texture descriptor which reflects the intensity distribution of the patch centered at each pixel.Then the general multiphase image segmentation model of Potts model is extended for texture segmentation by adding the region information of the texture descriptor.A fast numerical scheme based on the split Bregman method is designed to speed up the computational process.The algorithm is efficient,and both the texture descriptor and the characteristic functions can be implemented easily.Experiments using synthetic texture images,real natural scene images and synthetic aperture radar images are presented to give qualitative comparisons between our method and other state-of-the-art techniques.The results show that our method can accurately segment object regions and is competitive compared with other methods especially in segmenting natural images.展开更多
基金This work is supported by NSFC (10271008 and 10531070)
文摘The entropy production rate of stationary minimal diffusion processes with smooth coefficients is calculated. As a byproduct, the continuity of paths of the minimal diffusion processes is discussed, and that the point at infinity is absorbing is proved.
基金National Natural Science Foundations of China(Nos.61573144,61174040)
文摘Scheduling problem is a well-known combinatorial optimization problem.An effective improved estimation of distribution algorithm(IEDA) was proposed for minimizing the makespan of the unrelated parallel machine scheduling problem(UPMSP).Mathematical description was given for the UPMSP.The IEDA which was combined with variable neighborhood search(IEDA_VNS) was proposed to solve the UPMSP in order to improve local search ability.A new encoding method was designed for representing the feasible solutions of the UPMSP.More knowledge of the UPMSP were taken consideration in IEDA_ VNS for probability matrix which was based the processing time matrix.The simulation results show that the proposed IEDA_VNS can solve the problem effectively.
文摘The demand for processed foods and the awareness about food quality and safety are increasing rapidly.The consumers’demand for minimally processed foods and growing competition in the market have made the processors to adopt newer non-thermal technologies that preserve nutrients and sensory properties of the products.Conventionally,heat processing of foods is carried out to convert raw material into value-added product,reduce or eliminate microbial load to improve safety,and extend shelf life.Some of the limitations of thermal processing techniques can be overcome by employing non-thermal processes.High hydrostatic pressure,pulsed electric field,ultrasound,cold plasma,dense phase carbon dioxide,ozone,and pulsed light(PL)processing are gaining popularity in food processing.PL technology is a non-thermal technology,where sterilization and decontamination are achieved by impinging high-intensity light pulses of short durations on surfaces of foods and high-transmission liquids.Although a few reports on the PL technology are available,in-depth studies on this are needed to adopt at a commercial level.The present review provides an overview of light-based processing of foods and covers important aspects such as different PL systems used for processing of foods,mode of action of PL on microbes,the effect of PL on liquid foods,surface decontamination of foods and parameters that affect PL efficacy,combination processing with PL.With the growing demand in non-thermal processing for the technological advancement in the area of generation of light,light-based processing will be a promising technology for microbial load reduction.
基金supported by the National Natural Science Foundation of China(No.61170106)
文摘Because texture images cannot be directly processed by the gray level information of individual pixel,we propose a new texture descriptor which reflects the intensity distribution of the patch centered at each pixel.Then the general multiphase image segmentation model of Potts model is extended for texture segmentation by adding the region information of the texture descriptor.A fast numerical scheme based on the split Bregman method is designed to speed up the computational process.The algorithm is efficient,and both the texture descriptor and the characteristic functions can be implemented easily.Experiments using synthetic texture images,real natural scene images and synthetic aperture radar images are presented to give qualitative comparisons between our method and other state-of-the-art techniques.The results show that our method can accurately segment object regions and is competitive compared with other methods especially in segmenting natural images.
