1.Introduction The key to reaching China’s ambitious“dual-carbon”targets of achieving a carbon peak and carbon neutrality lies in the augmentation of renewable energy generation,particularly in the domain of solar ...1.Introduction The key to reaching China’s ambitious“dual-carbon”targets of achieving a carbon peak and carbon neutrality lies in the augmentation of renewable energy generation,particularly in the domain of solar and wind energy.In the context of China,solar energy manifests a periodic availability that is conducive to electricity generation spanning approximately 15%–20%of the annual duration,whereas wind energy exhibits an availability ranging from 20%to 25%on the basis of suitable weather.展开更多
1.Introduction The decarbonization of the energy sector,which greatly relies on fossil-fuel energy,requires urgent action on a global scale to reduce carbon emissions to a net-zero state and to mitigate the effects of...1.Introduction The decarbonization of the energy sector,which greatly relies on fossil-fuel energy,requires urgent action on a global scale to reduce carbon emissions to a net-zero state and to mitigate the effects of climate change[1,2].With a multi-level global energy transition already underway,there is an inevitable trend to use renewable energy to replace traditional fossil-fuel energy.展开更多
Road traffic sign recognition is an important task in intelligent transportation system.Convolutional neural networks(CNNs)have achieved a breakthrough in computer vision tasks and made great success in traffic sign c...Road traffic sign recognition is an important task in intelligent transportation system.Convolutional neural networks(CNNs)have achieved a breakthrough in computer vision tasks and made great success in traffic sign classification.In this paper,it presents a road traffic sign recognition algorithm based on a convolutional neural network.In natural scenes,traffic signs are disturbed by factors such as illumination,occlusion,missing and deformation,and the accuracy of recognition decreases,this paper proposes a model called Improved VGG(IVGG)inspired by VGG model.The IVGG model includes 9 layers,compared with the original VGG model,it is added max-pooling operation and dropout operation after multiple convolutional layers,to catch the main features and save the training time.The paper proposes the method which adds dropout and Batch Normalization(BN)operations after each fully-connected layer,to further accelerate the model convergence,and then it can get better classification effect.It uses the German Traffic Sign Recognition Benchmark(GTSRB)dataset in the experiment.The IVGG model enhances the recognition rate of traffic signs and robustness by using the data augmentation and transfer learning,and the spent time is also reduced greatly.展开更多
[Objectives]This study was conducted to investigate the appropriate addition amounts of lactic acid bacteria and cellulase in the mixed silage of potato plants,so as to provide a basis for the rational use of potato p...[Objectives]This study was conducted to investigate the appropriate addition amounts of lactic acid bacteria and cellulase in the mixed silage of potato plants,so as to provide a basis for the rational use of potato plants.[Methods]Fresh potato(Solanum tuberosum)seedling plants,watermelon(Citrullus lanatus)plants,and melon(Cucumis melo)plants were selected as raw materials for silage,each of which was added at a ratio of 32%,and 4%of brown flour was added additionally.On this basis,an L 9(32)orthogonal experiment was designed to investigate the effects of the amount of lactic acid bacteria(10,20,30 g/kg)and the amount of cellulase(5,10,15 g/kg)on the experimental results with sensory evaluation score as an investigation index.[Results]With the increase of the amount of lactic acid bacteria and the amount of cellulase,the sensory evaluation score of silage increased,and it was the highest when the amount of lactic acid bacteria added was 20 g/kg and the amount of cellulose was 10 g/kg.With the increase of the amounts of lactic acid bacteria and cellulase added,ammonia nitrogen showed a decreasing trend,and the pH and ammonia nitrogen were the lowest when the amount of lactic acid bacteria added was 20 g/kg and the amount of cellulose was 10 g/kg.[Conclusions]This study provides a theoretical basis for the rational use of effective ingredients and nutrients in potato plants and the development of new feed resources.展开更多
[Objectives]This study was conducted to investigate the development method of microbial fermented feed and its effect on the production performance of Holstein cows.[Methods]Thirty Holstein cows were selected and rand...[Objectives]This study was conducted to investigate the development method of microbial fermented feed and its effect on the production performance of Holstein cows.[Methods]Thirty Holstein cows were selected and randomly divided into 2 groups,15 cows in each group.The diet composition of the experimental group was:concentrate supplement added with 30% microbial fermented feed+silage+alfalfa hay,and the diet composition of the control group was:concentrate supplement added with 30% flax cake+silage+alfalfa hay.The experimental period was 60 d.[Results]Compared with the control group,the experimental group increased the average daily milk yield per cow by 2.25%(P>0.05)and the total increase in average milk yield per cow in the experimental period by 43.51%(P<0.01),and reduced the average feed-to-milk ratio by 9.20%(P<0.05).The average gross profit per cow of the experimental group was 40.34 yuan higher than that of the control group,showing an increase of 3.53% in the economic benefit.[Conclusions]Feeding a diet supplemented with the microbial fermented feed could improve the efficiency of Holstein cow farming and is recommended to be promoted.展开更多
基金the financial supports from Guangdong Innovative and Entrepreneurial Research Team Program(2016ZT06N532)Shenzhen Supporting Fund(KYTDPT20181011104002)+1 种基金Shenzhen High-Level Professional Program(20160802681J)Shenzhen Research and Development Fund(KQTD20180411143418361)。
文摘1.Introduction The key to reaching China’s ambitious“dual-carbon”targets of achieving a carbon peak and carbon neutrality lies in the augmentation of renewable energy generation,particularly in the domain of solar and wind energy.In the context of China,solar energy manifests a periodic availability that is conducive to electricity generation spanning approximately 15%–20%of the annual duration,whereas wind energy exhibits an availability ranging from 20%to 25%on the basis of suitable weather.
文摘1.Introduction The decarbonization of the energy sector,which greatly relies on fossil-fuel energy,requires urgent action on a global scale to reduce carbon emissions to a net-zero state and to mitigate the effects of climate change[1,2].With a multi-level global energy transition already underway,there is an inevitable trend to use renewable energy to replace traditional fossil-fuel energy.
文摘Road traffic sign recognition is an important task in intelligent transportation system.Convolutional neural networks(CNNs)have achieved a breakthrough in computer vision tasks and made great success in traffic sign classification.In this paper,it presents a road traffic sign recognition algorithm based on a convolutional neural network.In natural scenes,traffic signs are disturbed by factors such as illumination,occlusion,missing and deformation,and the accuracy of recognition decreases,this paper proposes a model called Improved VGG(IVGG)inspired by VGG model.The IVGG model includes 9 layers,compared with the original VGG model,it is added max-pooling operation and dropout operation after multiple convolutional layers,to catch the main features and save the training time.The paper proposes the method which adds dropout and Batch Normalization(BN)operations after each fully-connected layer,to further accelerate the model convergence,and then it can get better classification effect.It uses the German Traffic Sign Recognition Benchmark(GTSRB)dataset in the experiment.The IVGG model enhances the recognition rate of traffic signs and robustness by using the data augmentation and transfer learning,and the spent time is also reduced greatly.
基金Key R&D Program Major Project of Ningxia(2019BBF02016)New Technology Extension Project of Animal Husbandry in Autonomous Region Feed Workstation.
文摘[Objectives]This study was conducted to investigate the appropriate addition amounts of lactic acid bacteria and cellulase in the mixed silage of potato plants,so as to provide a basis for the rational use of potato plants.[Methods]Fresh potato(Solanum tuberosum)seedling plants,watermelon(Citrullus lanatus)plants,and melon(Cucumis melo)plants were selected as raw materials for silage,each of which was added at a ratio of 32%,and 4%of brown flour was added additionally.On this basis,an L 9(32)orthogonal experiment was designed to investigate the effects of the amount of lactic acid bacteria(10,20,30 g/kg)and the amount of cellulase(5,10,15 g/kg)on the experimental results with sensory evaluation score as an investigation index.[Results]With the increase of the amount of lactic acid bacteria and the amount of cellulase,the sensory evaluation score of silage increased,and it was the highest when the amount of lactic acid bacteria added was 20 g/kg and the amount of cellulose was 10 g/kg.With the increase of the amounts of lactic acid bacteria and cellulase added,ammonia nitrogen showed a decreasing trend,and the pH and ammonia nitrogen were the lowest when the amount of lactic acid bacteria added was 20 g/kg and the amount of cellulose was 10 g/kg.[Conclusions]This study provides a theoretical basis for the rational use of effective ingredients and nutrients in potato plants and the development of new feed resources.
基金Supported by Key Research and Development Plan of Ningxia(2019BBF02016).
文摘[Objectives]This study was conducted to investigate the development method of microbial fermented feed and its effect on the production performance of Holstein cows.[Methods]Thirty Holstein cows were selected and randomly divided into 2 groups,15 cows in each group.The diet composition of the experimental group was:concentrate supplement added with 30% microbial fermented feed+silage+alfalfa hay,and the diet composition of the control group was:concentrate supplement added with 30% flax cake+silage+alfalfa hay.The experimental period was 60 d.[Results]Compared with the control group,the experimental group increased the average daily milk yield per cow by 2.25%(P>0.05)and the total increase in average milk yield per cow in the experimental period by 43.51%(P<0.01),and reduced the average feed-to-milk ratio by 9.20%(P<0.05).The average gross profit per cow of the experimental group was 40.34 yuan higher than that of the control group,showing an increase of 3.53% in the economic benefit.[Conclusions]Feeding a diet supplemented with the microbial fermented feed could improve the efficiency of Holstein cow farming and is recommended to be promoted.
