In order to establish a public service platform for construction drawing intelligent review,an engineering standard database system based on Web crawler was proposed by building an engineering standard database system...
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In order to establish a public service platform for construction drawing intelligent review,an engineering standard database system based on Web crawler was proposed by building an engineering standard database system to improve the efficiency of querying engineering *** system mainly obtains the unstructured engineering standard information on the Web site through the crawler module,and extracts the information in the image on the Web site through the image recognition module,and then removes the non-critical information into the structured information through the data cleaning module,and finally the data update module ensures realtime data *** the user uses the system,the information in the database can be queried through the web *** research shows that the engineering standard database system can meet the daily needs of users.
Although the research in the field of face recognition has achieved high-quality results in the controllable production environment,its further research is limited in the field of face facial expression recognition ba...
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Although the research in the field of face recognition has achieved high-quality results in the controllable production environment,its further research is limited in the field of face facial expression recognition based on video *** paper describes the recent experimental research progress of a project,an analysis system of students' attendance status designed for real-time face recognition and prediction in *** this paper,an expression recognition model based on miniXcetion optimization is proposed and the experimental results show that the facial expression recognition accuracy of this model is up to 98.96%,which is better than other algorithms in accuracy and more suitable for the application requirements of the system under the target scene studied.
Loss of secret keys is the deadly attack in public key *** present an identity-based threhold key-insulated proxy signature(IBTKIPS) scheme to settle the problem of key exposure in the identity-based proxy signature *...
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Loss of secret keys is the deadly attack in public key *** present an identity-based threhold key-insulated proxy signature(IBTKIPS) scheme to settle the problem of key exposure in the identity-based proxy signature *** proposed IBTKIPS scheme is secure in the standard *** the IBTKIPS scheme,we use at least k out of n helper keys to refresh the temporary secret *** IBTKIPS scheme is more flexible and securer than the identity-based proxy signature scheme.
In order to meet the background of the digital map review of the rapid development of information technology such as "Internet+",big data,machine learning,etc.,a smart graph review system based on knowledge ...
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In order to meet the background of the digital map review of the rapid development of information technology such as "Internet+",big data,machine learning,etc.,a smart graph review system based on knowledge map is *** system includes a data processing module,a knowledge map building module,and a comment recommendation *** present,the knowledge map is constructed through the Neo4 j database,and the accuracy of the entity recognition algorithm in this project reaches 95.7%.The survey results show that the application of the system can meet the requirements of intelligent review.
Exposure of private keys is the dangerous attack in the public key *** put forward an identity-based parallel key-insulated proxy signature(IBPKIPS) scheme to deal with the problem of key exposure in the identity-base...
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Exposure of private keys is the dangerous attack in the public key *** put forward an identity-based parallel key-insulated proxy signature(IBPKIPS) scheme to deal with the problem of key exposure in the identity-based proxy signature system. Our IBPKIPS scheme is secure without random oracles. In the IBPKIPS scheme, we use two different helper keys to renew the temporary private keys. Our IBPKIPS scheme is securer and more flexible than the identity-based proxy signature scheme.
Human-Robot Interaction (HRI) will be a crucial component of smart factories of the future (FoF). This demo presents a reliable and cost-effective HRI system based on Augmented Reality (AR). In this demonstration, we ...
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ISBN:
(数字)9781728173740
ISBN:
(纸本)9781728173757
Human-Robot Interaction (HRI) will be a crucial component of smart factories of the future (FoF). This demo presents a reliable and cost-effective HRI system based on Augmented Reality (AR). In this demonstration, we offer concepts and methods currently being developed to enable high-level human-robot collaboration and interaction. The user interaction and instructions are captured via AR and communicated to a Robot Operating System (ROS) powered robotic arm.
Lane detection embedded in intelligent vehicles can greatly improve the security of automatic driving. This work offers a new approach towards lane detection in the video in real-time combining multi-feature fusion an...
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We set out to determine the feasibility of implementing Discrete Global Grid System (DGGS) representations of geometry support in a GeoSPARQL-enabled triplestore, and test the GeoSPARQL compliance for it. The implemen...
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These days, a lot of towns struggle with traffic jams during peak hours, which increment contamination, commotion, and feelings of anxiety for the general population. Because neural networks (NN) and machine learning ...
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ISBN:
(数字)9798350354379
ISBN:
(纸本)9798350354386
These days, a lot of towns struggle with traffic jams during peak hours, which increment contamination, commotion, and feelings of anxiety for the general population. Because neural networks (NN) and machine learning (ML) techniques can handle large numbers of parameters in massive amounts of data and dynamic behaviour over time, they are replacing analytical and statistical methods in the solving of real-world problems. This research presents a convergence of machine-learning (ML) and deep-learning (DL) calculations for traffic stream prediction; this paves the way for flexible traffic signals, which can be implemented through the use of a calculation that adjusts the timing in accordance with the anticipated traffic flow or by controlling traffic signals to some degree. The proposed ML and DL models are constructed, validated, and tested using two publicly accessible datasets. The first depicts the total number of cars subjected to checks using various sensors at six junctions over the course of 56 days. In this research, ML and DL models are created using data from four of the six junctions. The excellent performance metrics obtained by all ML and DL computations suggest that their application to intelligent traffic light management is feasible.
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