6G is envisioned as the next generation of wireless communication technology,promising unprecedented data speeds,ultra-low Latency,and ubiquitous Connectivity.In tandem with these advancements,blockchain technology is...6G is envisioned as the next generation of wireless communication technology,promising unprecedented data speeds,ultra-low Latency,and ubiquitous Connectivity.In tandem with these advancements,blockchain technology is leveraged to enhance computer vision applications’security,trustworthiness,and transparency.With the widespread use of mobile devices equipped with cameras,the ability to capture and recognize Chinese characters in natural scenes has become increasingly important.Blockchain can facilitate privacy-preserving mechanisms in applications where privacy is paramount,such as facial recognition or personal healthcare monitoring.Users can control their visual data and grant or revoke access as needed.Recognizing Chinese characters from images can provide convenience in various aspects of people’s lives.However,traditional Chinese character text recognition methods often need higher accuracy,leading to recognition failures or incorrect character identification.In contrast,computer vision technologies have significantly improved image recognition accuracy.This paper proposed a Secure end-to-end recognition system(SE2ERS)for Chinese characters in natural scenes based on convolutional neural networks(CNN)using 6G technology.The proposed SE2ERS model uses the Weighted Hyperbolic Curve Cryptograph(WHCC)of the secure data transmission in the 6G network with the blockchain model.The data transmission within the computer vision system,with a 6G gradient directional histogram(GDH),is employed for character estimation.With the deployment of WHCC and GDH in the constructed SE2ERS model,secure communication is achieved for the data transmission with the 6G network.The proposed SE2ERS compares the performance of traditional Chinese text recognition methods and data transmission environment with 6G communication.Experimental results demonstrate that SE2ERS achieves an average recognition accuracy of 88%for simple Chinese characters,compared to 81.2%with traditional methods.For complex Chinese characters,the average rec展开更多
Traditional Chinese painting(TCP)is an invaluable cultural heritage resource and a unique visual art style.In recent years,there has been a growing emphasis on the digitalization of TCP for cultural preservation and r...Traditional Chinese painting(TCP)is an invaluable cultural heritage resource and a unique visual art style.In recent years,there has been a growing emphasis on the digitalization of TCP for cultural preservation and revitalization.The resulting digital copies have enabled the advancement of computational methods for a structured and systematic understanding of TCP.To explore this topic,we conduct an in-depth analysis of 94 pieces of literature.We examine the current use of computer technologies on TCP from three perspectives,based on numerous conversations with specialists.First,in light of the“Six Principles of Painting”theory,we categorize the articles according to their research focus on artistic elements.Second,we create a four-stage framework to illustrate the purposes of TCP applications.Third,we summarize the popular computational techniques applied to TCP.This work also provides insights into potential applications and prospects,with professional opinion.展开更多
We report here the characterization of a five-generation Han Chinese family with Leber＇s hereditary optic neuropathy （LHON）. Strik- ingly, this Chinese family displayed high penetrance and expressivity of visual lo...We report here the characterization of a five-generation Han Chinese family with Leber＇s hereditary optic neuropathy （LHON）. Strik- ingly, this Chinese family displayed high penetrance and expressivity of visual loss. The average age-of-onset of vision loss was 18 years in this family. Nineteen （11 males/8 females） of 29 matrilineal relatives in this family developed visual loss with a wide range of severity, ranging from blindness to normal vision. Sequence analysis of mitochondrial genome in this pedigree revealed the presence of the ND4 G 11778A mutation and 44 other variants belonging to Asian haplogroup M7b. The G 11778A mutation is present at homoplasmy in matri- lineal relatives of this Chinese family. Of other variants, the C01 G6480A, ND5 T12811C and Cytb A15395G located at highly conserved residues of corresponding polypeptides. In fact, these variants were implicated to be involved in other clinical abnormalities. Here, these variants may act in synergy with the primary LHON-associated Gl1778A mutation. Thus, the mitochondrial dysfunction caused by the primary ND4 G11778A mutation may be worsened by these mitochondrial variants. The results imply that the G6480A, T12811C and A15395G variants might have a potential modifier role in increasing the penetrance and expressivity of the primary LHON-associated G11778A mutation in this Chinese family.展开更多
基金supported by the Inner Mongolia Natural Science Fund Project(2019MS06013)Ordos Science and Technology Plan Project(2022YY041)Hunan Enterprise Science and Technology Commissioner Program(2021GK5042).
文摘6G is envisioned as the next generation of wireless communication technology,promising unprecedented data speeds,ultra-low Latency,and ubiquitous Connectivity.In tandem with these advancements,blockchain technology is leveraged to enhance computer vision applications’security,trustworthiness,and transparency.With the widespread use of mobile devices equipped with cameras,the ability to capture and recognize Chinese characters in natural scenes has become increasingly important.Blockchain can facilitate privacy-preserving mechanisms in applications where privacy is paramount,such as facial recognition or personal healthcare monitoring.Users can control their visual data and grant or revoke access as needed.Recognizing Chinese characters from images can provide convenience in various aspects of people’s lives.However,traditional Chinese character text recognition methods often need higher accuracy,leading to recognition failures or incorrect character identification.In contrast,computer vision technologies have significantly improved image recognition accuracy.This paper proposed a Secure end-to-end recognition system(SE2ERS)for Chinese characters in natural scenes based on convolutional neural networks(CNN)using 6G technology.The proposed SE2ERS model uses the Weighted Hyperbolic Curve Cryptograph(WHCC)of the secure data transmission in the 6G network with the blockchain model.The data transmission within the computer vision system,with a 6G gradient directional histogram(GDH),is employed for character estimation.With the deployment of WHCC and GDH in the constructed SE2ERS model,secure communication is achieved for the data transmission with the 6G network.The proposed SE2ERS compares the performance of traditional Chinese text recognition methods and data transmission environment with 6G communication.Experimental results demonstrate that SE2ERS achieves an average recognition accuracy of 88%for simple Chinese characters,compared to 81.2%with traditional methods.For complex Chinese characters,the average rec
基金supported by the Fundamental Research Funds for the Central Universities of China under Grant No.226-2022-00235the Key Program of the National Natural Science Foundation of China under Grant No.62132017.
文摘Traditional Chinese painting(TCP)is an invaluable cultural heritage resource and a unique visual art style.In recent years,there has been a growing emphasis on the digitalization of TCP for cultural preservation and revitalization.The resulting digital copies have enabled the advancement of computational methods for a structured and systematic understanding of TCP.To explore this topic,we conduct an in-depth analysis of 94 pieces of literature.We examine the current use of computer technologies on TCP from three perspectives,based on numerous conversations with specialists.First,in light of the“Six Principles of Painting”theory,we categorize the articles according to their research focus on artistic elements.Second,we create a four-stage framework to illustrate the purposes of TCP applications.Third,we summarize the popular computational techniques applied to TCP.This work also provides insights into potential applications and prospects,with professional opinion.
基金Zhejiang Provincial Natural Science Foundation（ZB0202）；Chinese Young Scholar Award（No.30628013）；the National Science Foundation of China to M.X.G and the Key Research and Development Program from Zhejiang Province（No.2004C14005）to J.Q.
文摘We report here the characterization of a five-generation Han Chinese family with Leber＇s hereditary optic neuropathy （LHON）. Strik- ingly, this Chinese family displayed high penetrance and expressivity of visual loss. The average age-of-onset of vision loss was 18 years in this family. Nineteen （11 males/8 females） of 29 matrilineal relatives in this family developed visual loss with a wide range of severity, ranging from blindness to normal vision. Sequence analysis of mitochondrial genome in this pedigree revealed the presence of the ND4 G 11778A mutation and 44 other variants belonging to Asian haplogroup M7b. The G 11778A mutation is present at homoplasmy in matri- lineal relatives of this Chinese family. Of other variants, the C01 G6480A, ND5 T12811C and Cytb A15395G located at highly conserved residues of corresponding polypeptides. In fact, these variants were implicated to be involved in other clinical abnormalities. Here, these variants may act in synergy with the primary LHON-associated Gl1778A mutation. Thus, the mitochondrial dysfunction caused by the primary ND4 G11778A mutation may be worsened by these mitochondrial variants. The results imply that the G6480A, T12811C and A15395G variants might have a potential modifier role in increasing the penetrance and expressivity of the primary LHON-associated G11778A mutation in this Chinese family.
