The study employed ERP technique to explore whether the affordance derivation can facilitate semantic access in comprehending Chinese puns. ERPs were measured while participants read the pun sentences containing dual ...The study employed ERP technique to explore whether the affordance derivation can facilitate semantic access in comprehending Chinese puns. ERPs were measured while participants read the pun sentences containing dual meanings and made a judgement about the following probes and statements. The results showed that highly related probes in pun sentences elicited a smaller N400 and a larger LPC than moderately related probes in pun sentences. As for the comparison of sentence types, both highly and moderately related probes in pun sentences produce a smaller N400 and a larger LPC than those in control sentences. These results indicate that in the early stage of pun comprehension, semantic access to the literal meaning is easier through affordance derivation because of meaning dominance and frequency. In the late stage of integration, however,the intended meaning of puns can be facilitated and accessed through its privilege of affordance derivation activated by pun words in a pun context because of the priming context and its underlying intention. The study has discovered empirically that it is the affordance derivation,which connects the context and the dual meanings indicated by the pun words, that contributes to the different time courses and dynamic underlying neurocognitive mechanisms in comprehending puns in Chinese.展开更多
In the era of big data,the conflict between data mining and data privacy protection is increasing day by day.Traditional information security focuses on protecting the security of attribute values without semantic ass...In the era of big data,the conflict between data mining and data privacy protection is increasing day by day.Traditional information security focuses on protecting the security of attribute values without semantic association.The data privacy of big data is mainly reflected in the effective use of data without exposing the user’s sensitive information.Considering the semantic association,reasonable security access for privacy protect is required.Semi-structured and self-descriptive XML(eXtensible Markup Language)has become a common form of data organization for database management in big data environments.Based on the semantic integration nature of XML data,this paper proposes a data access control model for individual users.Through the semantic dependency between data and the integration process from bottom to top,the global visual range of inverted XML structure is realized.Experimental results show that the model effectively protects the privacy and has high access efficiency.展开更多
This paper proposes a multi-access and multi-user semantic communication scheme based on semantic matching and intent deviation to address the increasing demand for wireless users and data.The scheme enables flexible ...This paper proposes a multi-access and multi-user semantic communication scheme based on semantic matching and intent deviation to address the increasing demand for wireless users and data.The scheme enables flexible management of long frames,allowing each unit of bandwidth to support a higher number of users.By leveraging semantic classification,different users can independently access the network through the transmission of long concatenated sequences without modifying the existing wireless communication architecture.To overcome the potential disadvantage of incomplete semantic database matching leading to semantic intent misunderstanding,the scheme proposes using intent deviation as an advantage.This allows different receivers to interpret the same semantic information differently,enabling multiplexing where one piece of information can serve multiple users with distinct purposes.Simulation results show that at a bit error rate(BER)of 0.1,it is possible to reduce the transmission by approximately 20 semantic basic units.展开更多
In a multi-user system,system resources should be allocated to different users.In traditional communication systems,system resources generally include time,frequency,space,and power,so multiple access technologies suc...In a multi-user system,system resources should be allocated to different users.In traditional communication systems,system resources generally include time,frequency,space,and power,so multiple access technologies such as time division multiple access(TDMA),frequency division multiple access(FDMA),space division multiple access(SDMA),code division multiple access(CDMA),and non-orthogonal multiple access(NOMA)are widely used.In semantic communication,which is considered a new paradigm of the next-generation communication system,we extract high-dimensional features from signal sources in a model-based artificial intelligence approach from a semantic perspective and construct a model information space for signal sources and channel features.From the high-dimensional semantic space,we excavate the shared and personalized information of semantic information and propose a novel multiple access technology,named model division multiple access(MDMA),which is based on the resource of the semantic domain.From the perspective of information theory,we prove that MDMA can attain more performance gains than traditional multiple access technologies.Simulation results show that MDMA saves more bandwidth resources than traditional multiple access technologies,and that MDMA has at least a 5-dB advantage over NOMA in the additive white Gaussian noise(AWGN)channel under the low signal-to-noise(SNR)condition.展开更多
The paper firstly analyze cache replacement strategies at present, and proposed the ideas of the semantic query cache replacement based on user access features, and describe the semantic similarity calculation and rea...The paper firstly analyze cache replacement strategies at present, and proposed the ideas of the semantic query cache replacement based on user access features, and describe the semantic similarity calculation and realize the algorithm of replacement strategy. The strategy use semantic to match information in the query cache, through dynamic analysis and tracking three characteristics of user access time, user access to content and Business Association, give out the similarity minimum of the cache item, to improve the hit ratio of the cache and the response time and throughput of the server is improved.展开更多
基金supported by the Key Program of the National Social Science Foundation of China (Grant No. 19AYY011)the Major Scientific Program of Shanghai International Studies University (Grant No. 2018114027)。
文摘The study employed ERP technique to explore whether the affordance derivation can facilitate semantic access in comprehending Chinese puns. ERPs were measured while participants read the pun sentences containing dual meanings and made a judgement about the following probes and statements. The results showed that highly related probes in pun sentences elicited a smaller N400 and a larger LPC than moderately related probes in pun sentences. As for the comparison of sentence types, both highly and moderately related probes in pun sentences produce a smaller N400 and a larger LPC than those in control sentences. These results indicate that in the early stage of pun comprehension, semantic access to the literal meaning is easier through affordance derivation because of meaning dominance and frequency. In the late stage of integration, however,the intended meaning of puns can be facilitated and accessed through its privilege of affordance derivation activated by pun words in a pun context because of the priming context and its underlying intention. The study has discovered empirically that it is the affordance derivation,which connects the context and the dual meanings indicated by the pun words, that contributes to the different time courses and dynamic underlying neurocognitive mechanisms in comprehending puns in Chinese.
基金This work was supported by Funding of Jiangsu Innovation Program for Graduate Education KYLX_0285,the National Natural Science Foundation of China(No.61602241)the Natural Science Foundation of Jiangsu Province(No.BK20150758)the pre-study fund of PLA University of Science and Technology.
文摘In the era of big data,the conflict between data mining and data privacy protection is increasing day by day.Traditional information security focuses on protecting the security of attribute values without semantic association.The data privacy of big data is mainly reflected in the effective use of data without exposing the user’s sensitive information.Considering the semantic association,reasonable security access for privacy protect is required.Semi-structured and self-descriptive XML(eXtensible Markup Language)has become a common form of data organization for database management in big data environments.Based on the semantic integration nature of XML data,this paper proposes a data access control model for individual users.Through the semantic dependency between data and the integration process from bottom to top,the global visual range of inverted XML structure is realized.Experimental results show that the model effectively protects the privacy and has high access efficiency.
基金This work was supported in part by the National Natural Science Foundation of China(62201034).
文摘This paper proposes a multi-access and multi-user semantic communication scheme based on semantic matching and intent deviation to address the increasing demand for wireless users and data.The scheme enables flexible management of long frames,allowing each unit of bandwidth to support a higher number of users.By leveraging semantic classification,different users can independently access the network through the transmission of long concatenated sequences without modifying the existing wireless communication architecture.To overcome the potential disadvantage of incomplete semantic database matching leading to semantic intent misunderstanding,the scheme proposes using intent deviation as an advantage.This allows different receivers to interpret the same semantic information differently,enabling multiplexing where one piece of information can serve multiple users with distinct purposes.Simulation results show that at a bit error rate(BER)of 0.1,it is possible to reduce the transmission by approximately 20 semantic basic units.
基金supported by the National Key R&D Program of China(No.2022YFB2902102)。
文摘In a multi-user system,system resources should be allocated to different users.In traditional communication systems,system resources generally include time,frequency,space,and power,so multiple access technologies such as time division multiple access(TDMA),frequency division multiple access(FDMA),space division multiple access(SDMA),code division multiple access(CDMA),and non-orthogonal multiple access(NOMA)are widely used.In semantic communication,which is considered a new paradigm of the next-generation communication system,we extract high-dimensional features from signal sources in a model-based artificial intelligence approach from a semantic perspective and construct a model information space for signal sources and channel features.From the high-dimensional semantic space,we excavate the shared and personalized information of semantic information and propose a novel multiple access technology,named model division multiple access(MDMA),which is based on the resource of the semantic domain.From the perspective of information theory,we prove that MDMA can attain more performance gains than traditional multiple access technologies.Simulation results show that MDMA saves more bandwidth resources than traditional multiple access technologies,and that MDMA has at least a 5-dB advantage over NOMA in the additive white Gaussian noise(AWGN)channel under the low signal-to-noise(SNR)condition.
文摘The paper firstly analyze cache replacement strategies at present, and proposed the ideas of the semantic query cache replacement based on user access features, and describe the semantic similarity calculation and realize the algorithm of replacement strategy. The strategy use semantic to match information in the query cache, through dynamic analysis and tracking three characteristics of user access time, user access to content and Business Association, give out the similarity minimum of the cache item, to improve the hit ratio of the cache and the response time and throughput of the server is improved.
