An accurate grasp of the number of fish in the breeding pond or fixed waters can provide an important basis for bait placement and reasonable fishing,and these data can also provide the necessary data support for accu...An accurate grasp of the number of fish in the breeding pond or fixed waters can provide an important basis for bait placement and reasonable fishing,and these data can also provide the necessary data support for accurate breeding.Due to the high density of fish in the real underwater environment,the strong occlusion and the large amount of adhesion,it is difficult to count fish,and the accuracy is low.Considering the above issues,we present a new approach to a fish counting method based on a multiscale multicolumn convolution group network.To enhance the counting accuracy and reduce the complexity of the network,this method uses an asymmetric convolution kernel to change the traditional convolution kernel,which increases our network depth and appreciably reduces the size of the network.In the backbone network,a convolutional group is used to replace a single convolutional layer to enhance the learning capacity of the network.The back of the net introduces the spatial structure of the pyramid and the multicolumn dilated convolution,which preserves the different scaling properties of fish data and improves the capabilities of the fish counting algorithm.To check the performance of the algorithm,this work collects and labels the DLOU3 fish dataset suitable for counting fish and conducts simulation experiments on the DLOU3 fish dataset using our algorithm.The experiments are comparedwith other popular fish counting algorithms in terms of the mean absolute error(MAE)and mean square error(MSE).The MAE and MSE of the final experimental results of our method are 5.36 and 6.56 and 23.67 and 32.52 in the two test sets,respectively,and the best performance among the five groups of algorithms is obtained.展开更多
Three different packaging materials of (37 cm × 25 cm) size (Sealed Transparent Polythene Bag (STPB) Sealed Paper Bag (SPB) (Brown envelope), Open Mouth Polythene Bag (OMPB) (Black incolour)) were used for Oreoch...Three different packaging materials of (37 cm × 25 cm) size (Sealed Transparent Polythene Bag (STPB) Sealed Paper Bag (SPB) (Brown envelope), Open Mouth Polythene Bag (OMPB) (Black incolour)) were used for Oreochromisniloticus (O), Clariasgariepinus (C) and Mormyrusrume (M). Twenty fish samples per species (averaging 250 gm) were hot smoked dried whole for 36 hours at an average temperature of 100?C. Packaged hot at the rate of 6 fishes per package for each species (three packs for each packaging treatment i.e. 18 pieces were packed while the remaining 2 pieces were used for initial bacteria load and microbial load). Microbial load (Total Viable Count (TVC), Total Coliform Count (TCC) and Total Fungi Count (TFC)) for the fresh fish was initial hot smoked and finally at the end of 12 weeks was monitored. The TVC (bacterial load) of O. niloticus dropped from (10.6 - 8.4) × 104 (fresh state-hot smoked) and M. rume (9.8 - 7.0) × 104, while C. gariepinus slightly increased from (12.4 - 12.6) × 104. After hot smoking, highest TVC of 8.6 × 104 (OMPBC), 8.3 × 104 (SPBC) and 8.2 × 104 (STPBC) were recorded in C. gariepinus among the 9 packag- ing at 12 weeks. However highest tendency for heavy TVC is in all OMPB with highest bacteria load in the OMPBC (8.6 × 104), 7.6 × 104 (OMPBO) and 6.6 × 104 (OMPBM). After 12 weeks highest ranged TFC of (0.6 - 0.7) × 104 was recorded in M. rume as against 0.2 × 104 recorded in the initial smoked for all. TCC was highest in C. gariepinus (4.0 - 4.3) × 104. Packaging did not limit the existence of micro-organisms. Six bacteria species (Micrococcus (acidiophilus, luteus), Bacillus (subtilis, cereus, aureus), Staphylococcus aureus, Streptococcus lactis, Proteus (vulgaricus, morganii), Pseudomonas aureginosa) and three fungi species (Aspergillus (niger, tamari), Rhizopusnigricans, fusariumoxysporum) were represented in all the packages. On the average five bacteria and two fungi species were represented, excepting for OMPBM and OMPBO with six bacteria species.展开更多
近年来,FISH(Fluorescence in Situ Hybridization,荧光原位杂交)法作为一种应用分子生物学技术对细胞及细菌等微生物进行定性以及定量分析的研究方法,在国际上得到广泛的应用。本文介绍了应用FISH法对污水处理工艺中细菌数量的计数方...近年来,FISH(Fluorescence in Situ Hybridization,荧光原位杂交)法作为一种应用分子生物学技术对细胞及细菌等微生物进行定性以及定量分析的研究方法,在国际上得到广泛的应用。本文介绍了应用FISH法对污水处理工艺中细菌数量的计数方法。同时介绍了活性污泥试样制作、FISH法观测试样的制作以及各种试剂的配制、作用以及使用方法,基因探针的选择原则、杂交方法等实际操作方法与过程。展开更多
为进一步控制鳜鱼片的品质及质量安全,研究不同贮藏温度下鳜鱼片的品质变化规律。将鳜鱼片分别置于4、7、10℃,测定总挥发性盐基氮(volatile base nitrogen,TVB-N)含量、pH值、持水力、菌落总数和色度值,确定4、7、10℃贮藏温度下鳜鱼...为进一步控制鳜鱼片的品质及质量安全,研究不同贮藏温度下鳜鱼片的品质变化规律。将鳜鱼片分别置于4、7、10℃,测定总挥发性盐基氮(volatile base nitrogen,TVB-N)含量、pH值、持水力、菌落总数和色度值,确定4、7、10℃贮藏温度下鳜鱼片的货架期。结果表明:随着贮藏时间的延长,各实验组的菌落总数、pH值和TVB-N含量均呈上升趋势(P<0.05),持水力显著下降(P<0.05);TVB-N含量的初始值较低,为6.39 mg/100 g,在9 d的贮藏期后,4、7、10℃贮藏温度下鳜鱼片分别增长5、8、9倍。结合各指标综合来看,4、7、10℃贮藏温度下鳜鱼片的货架期分别为3、2、1 d。展开更多
基金funded by the National Natural Science Foundation of China (31972846)Key Laboratory of Environment Controlled Aquaculture (Dalian Ocean University)Ministry of Education (202205)Major Special Plan for Science and Technology in Liaoning Province (2020JH1/10200002).
文摘An accurate grasp of the number of fish in the breeding pond or fixed waters can provide an important basis for bait placement and reasonable fishing,and these data can also provide the necessary data support for accurate breeding.Due to the high density of fish in the real underwater environment,the strong occlusion and the large amount of adhesion,it is difficult to count fish,and the accuracy is low.Considering the above issues,we present a new approach to a fish counting method based on a multiscale multicolumn convolution group network.To enhance the counting accuracy and reduce the complexity of the network,this method uses an asymmetric convolution kernel to change the traditional convolution kernel,which increases our network depth and appreciably reduces the size of the network.In the backbone network,a convolutional group is used to replace a single convolutional layer to enhance the learning capacity of the network.The back of the net introduces the spatial structure of the pyramid and the multicolumn dilated convolution,which preserves the different scaling properties of fish data and improves the capabilities of the fish counting algorithm.To check the performance of the algorithm,this work collects and labels the DLOU3 fish dataset suitable for counting fish and conducts simulation experiments on the DLOU3 fish dataset using our algorithm.The experiments are comparedwith other popular fish counting algorithms in terms of the mean absolute error(MAE)and mean square error(MSE).The MAE and MSE of the final experimental results of our method are 5.36 and 6.56 and 23.67 and 32.52 in the two test sets,respectively,and the best performance among the five groups of algorithms is obtained.
文摘Three different packaging materials of (37 cm × 25 cm) size (Sealed Transparent Polythene Bag (STPB) Sealed Paper Bag (SPB) (Brown envelope), Open Mouth Polythene Bag (OMPB) (Black incolour)) were used for Oreochromisniloticus (O), Clariasgariepinus (C) and Mormyrusrume (M). Twenty fish samples per species (averaging 250 gm) were hot smoked dried whole for 36 hours at an average temperature of 100?C. Packaged hot at the rate of 6 fishes per package for each species (three packs for each packaging treatment i.e. 18 pieces were packed while the remaining 2 pieces were used for initial bacteria load and microbial load). Microbial load (Total Viable Count (TVC), Total Coliform Count (TCC) and Total Fungi Count (TFC)) for the fresh fish was initial hot smoked and finally at the end of 12 weeks was monitored. The TVC (bacterial load) of O. niloticus dropped from (10.6 - 8.4) × 104 (fresh state-hot smoked) and M. rume (9.8 - 7.0) × 104, while C. gariepinus slightly increased from (12.4 - 12.6) × 104. After hot smoking, highest TVC of 8.6 × 104 (OMPBC), 8.3 × 104 (SPBC) and 8.2 × 104 (STPBC) were recorded in C. gariepinus among the 9 packag- ing at 12 weeks. However highest tendency for heavy TVC is in all OMPB with highest bacteria load in the OMPBC (8.6 × 104), 7.6 × 104 (OMPBO) and 6.6 × 104 (OMPBM). After 12 weeks highest ranged TFC of (0.6 - 0.7) × 104 was recorded in M. rume as against 0.2 × 104 recorded in the initial smoked for all. TCC was highest in C. gariepinus (4.0 - 4.3) × 104. Packaging did not limit the existence of micro-organisms. Six bacteria species (Micrococcus (acidiophilus, luteus), Bacillus (subtilis, cereus, aureus), Staphylococcus aureus, Streptococcus lactis, Proteus (vulgaricus, morganii), Pseudomonas aureginosa) and three fungi species (Aspergillus (niger, tamari), Rhizopusnigricans, fusariumoxysporum) were represented in all the packages. On the average five bacteria and two fungi species were represented, excepting for OMPBM and OMPBO with six bacteria species.
文摘近年来,FISH(Fluorescence in Situ Hybridization,荧光原位杂交)法作为一种应用分子生物学技术对细胞及细菌等微生物进行定性以及定量分析的研究方法,在国际上得到广泛的应用。本文介绍了应用FISH法对污水处理工艺中细菌数量的计数方法。同时介绍了活性污泥试样制作、FISH法观测试样的制作以及各种试剂的配制、作用以及使用方法,基因探针的选择原则、杂交方法等实际操作方法与过程。
