User-transformer relations are significant to electric power marketing,power supply safety,and line loss calculations.To get accurate user-transformer relations,this paper proposes an identification method for user-tr...User-transformer relations are significant to electric power marketing,power supply safety,and line loss calculations.To get accurate user-transformer relations,this paper proposes an identification method for user-transformer relations based on improved quantum particle swarm optimization(QPSO)and Fuzzy C-Means Clustering.The main idea is:as energymeters at different transformer areas exhibit different zero-crossing shift features,we classify the zero-crossing shift data from energy meters through Fuzzy C-Means Clustering and compare it with that at the transformer end to identify user-transformer relations.The proposed method contributes in three main ways.First,based on the fuzzy C-means clustering algorithm(FCM),the quantum particle swarm optimization(PSO)is introduced to optimize the FCM clustering center and kernel parameters.The optimized FCM algorithm can improve clustering accuracy and efficiency.Since easily falls into a local optimum,an improved PSO optimization algorithm(IQPSO)is proposed.Secondly,considering that traditional FCM cannot solve the linear inseparability problem,this article uses a FCM(KFCM)that introduces kernel functions.Combinedwith the IQPSOoptimization algorithm used in the previous step,the IQPSO-KFCM algorithm is proposed.Simulation experiments verify the superiority of the proposed method.Finally,the proposed method is applied to transformer detection.The proposed method determines the class members of transformers and meters in the actual transformer area,and obtains results consistent with actual user-transformer relations.This fully shows that the proposed method has practical application value.展开更多
Targeting malignant driving incidents involving collisions with pedestrians,such as dangerous driving on New Year's Day in the United States and intentional pedestrian ramming on Christmas in Germany,which expose ...Targeting malignant driving incidents involving collisions with pedestrians,such as dangerous driving on New Year's Day in the United States and intentional pedestrian ramming on Christmas in Germany,which expose issues of sudden aggressiveness,strong destructiveness,and criminal premeditation,this paper proposes a prevention and control system based on multimodal perception technology.It elaborates on the research process,including design concepts,technical routes,and implementation strategies.The innovation lies in integrating the Keras deep learning framework and the ResNet-50 model-based micro-expression analysis algorithm to construct a highly intelligent prevention and control system.This system realizes realtime monitoring and analysis of drivers'emotions and behaviors,and can control vehicles safely in emergency situations.Simulation tests show that under Simulink,the system exhibits excellent performance and high efficiency.For intentional acceleration and pedestrian ramming scenarios,it triggers Automatic Emergency Braking(AEB)within 1.2 seconds,reducing the collision speed to 20 km/h and mitigating casualties.Compared with traditional technologies,its safety is significantly improved,providing a new solution for the field of road traffic safety.展开更多
In recent years,pollution caused by the discharge of industrial wastewater into Bohai Bay has posed a potential threat to the health of surrounding residents.Sludge was collected from the outlet of a factory that disc...In recent years,pollution caused by the discharge of industrial wastewater into Bohai Bay has posed a potential threat to the health of surrounding residents.Sludge was collected from the outlet of a factory that discharges effluent into Bohai Bay,and alcohol extracts of sludge(SE)were prepared.We confirmed by UPLC-MS/MS analysis that the SE contained PAHs,including fluorene,pyrene,and phenanthrene.Zebrafish embryos as animal models were exposed to 0.1,0.3,0.5,1 and 5 mg/mL SE from 2 to 4 h post-fertilization(hpf)until 120 hpf.The results showed that SE caused a concentration-dependent increase in mortality and a decrease in hatchability.We found that SE significantly reduced eye pigmentation and decreased the movement of embryos and larvae.In addition,SE decreased triiodothyronine(T3)content and down-regulated the mRNA expression of some thyroid hormone-related genes including TPO and Thrβ,and caused the up-regulation of Dio2 and Dio3 at 120 hpf.Exposure to three individual PAHs found in SE,namely fluorene,pyrene,and phenanthrene,caused morphological and transcriptional changes that were similar to those caused by SE exposure.These findings indicate that PAHs in SE can reduce the pigmentation of zebrafish,which may be related to the genetic changes associated with thyroid hormones,and that zebrafish eye pigmentation can be used as an indicator of PAHs exposure.展开更多
基金supported by the National Natural Science Foundation of China(61671208).
文摘User-transformer relations are significant to electric power marketing,power supply safety,and line loss calculations.To get accurate user-transformer relations,this paper proposes an identification method for user-transformer relations based on improved quantum particle swarm optimization(QPSO)and Fuzzy C-Means Clustering.The main idea is:as energymeters at different transformer areas exhibit different zero-crossing shift features,we classify the zero-crossing shift data from energy meters through Fuzzy C-Means Clustering and compare it with that at the transformer end to identify user-transformer relations.The proposed method contributes in three main ways.First,based on the fuzzy C-means clustering algorithm(FCM),the quantum particle swarm optimization(PSO)is introduced to optimize the FCM clustering center and kernel parameters.The optimized FCM algorithm can improve clustering accuracy and efficiency.Since easily falls into a local optimum,an improved PSO optimization algorithm(IQPSO)is proposed.Secondly,considering that traditional FCM cannot solve the linear inseparability problem,this article uses a FCM(KFCM)that introduces kernel functions.Combinedwith the IQPSOoptimization algorithm used in the previous step,the IQPSO-KFCM algorithm is proposed.Simulation experiments verify the superiority of the proposed method.Finally,the proposed method is applied to transformer detection.The proposed method determines the class members of transformers and meters in the actual transformer area,and obtains results consistent with actual user-transformer relations.This fully shows that the proposed method has practical application value.
文摘Targeting malignant driving incidents involving collisions with pedestrians,such as dangerous driving on New Year's Day in the United States and intentional pedestrian ramming on Christmas in Germany,which expose issues of sudden aggressiveness,strong destructiveness,and criminal premeditation,this paper proposes a prevention and control system based on multimodal perception technology.It elaborates on the research process,including design concepts,technical routes,and implementation strategies.The innovation lies in integrating the Keras deep learning framework and the ResNet-50 model-based micro-expression analysis algorithm to construct a highly intelligent prevention and control system.This system realizes realtime monitoring and analysis of drivers'emotions and behaviors,and can control vehicles safely in emergency situations.Simulation tests show that under Simulink,the system exhibits excellent performance and high efficiency.For intentional acceleration and pedestrian ramming scenarios,it triggers Automatic Emergency Braking(AEB)within 1.2 seconds,reducing the collision speed to 20 km/h and mitigating casualties.Compared with traditional technologies,its safety is significantly improved,providing a new solution for the field of road traffic safety.
基金funded by the National Natural Science Foundation of China(82060672)the Program for Interdisciplinary Innovation team in Inner Mongolia Minzu University,China(Dongwu-2023)the Natural Science Foundation of Inner Mongolia Autonomous Region of China(2020MS08103).
文摘In recent years,pollution caused by the discharge of industrial wastewater into Bohai Bay has posed a potential threat to the health of surrounding residents.Sludge was collected from the outlet of a factory that discharges effluent into Bohai Bay,and alcohol extracts of sludge(SE)were prepared.We confirmed by UPLC-MS/MS analysis that the SE contained PAHs,including fluorene,pyrene,and phenanthrene.Zebrafish embryos as animal models were exposed to 0.1,0.3,0.5,1 and 5 mg/mL SE from 2 to 4 h post-fertilization(hpf)until 120 hpf.The results showed that SE caused a concentration-dependent increase in mortality and a decrease in hatchability.We found that SE significantly reduced eye pigmentation and decreased the movement of embryos and larvae.In addition,SE decreased triiodothyronine(T3)content and down-regulated the mRNA expression of some thyroid hormone-related genes including TPO and Thrβ,and caused the up-regulation of Dio2 and Dio3 at 120 hpf.Exposure to three individual PAHs found in SE,namely fluorene,pyrene,and phenanthrene,caused morphological and transcriptional changes that were similar to those caused by SE exposure.These findings indicate that PAHs in SE can reduce the pigmentation of zebrafish,which may be related to the genetic changes associated with thyroid hormones,and that zebrafish eye pigmentation can be used as an indicator of PAHs exposure.
