Improving customer experience has become a more and more important role in enhancing customer service in fashion retailing business. In this study,a kind of intelligent garment coordination and try-on system for fashi...Improving customer experience has become a more and more important role in enhancing customer service in fashion retailing business. In this study,a kind of intelligent garment coordination and try-on system for fashion retailing was proposed. Radio Frequency Identification (RFID) technology was used to identify customer and garment item automatically. The intelligent procedure for garment coordination recommendation using Artificial Neural Network (ANN) was developed to imitate fashion designers' decision-making on garment coordination. Virtual try-on algorithm based on the customer's 2D image was accomplished using image-warping technique. The system architecture and the software framework were also described. The results show that the system is a practical and useful application for fashion retailers.展开更多
Occurrence of vascular diseases is increasing and leads to rising demand for the STENT-GRAFT( SG). To ensure the SG function properly,the materials should have low blood permeability and good mechanical properties. So...Occurrence of vascular diseases is increasing and leads to rising demand for the STENT-GRAFT( SG). To ensure the SG function properly,the materials should have low blood permeability and good mechanical properties. So far, there have been few systematic studies on the relationship between textile structures and mechanical properties of the bio-textiles used in the SG. In this study, six types of biomedical PET fabrics with different yarn structures and fabric structures were designed and fabricated. All the SG materials could meet the requirement of thickness,except the sample of 30 d × 20 d with 2 /2 twill construction,which was thicker than 0. 12 mm. Bursting strength and water permeability( WP) of the six samples were also tested. Through the comparison of comprehensive performance,the PET fabric 30 d × 20 d /12 f with2 /2 twill construction with both good resistances to permeability and bursting strength, might have good prospect in applications of vascular engineering.展开更多
The existing optimized performance prediction of carbon fiber protofilament process model is still unable to meet the production needs. A way of performance prediction on carbon fiber protofilament was presented based...The existing optimized performance prediction of carbon fiber protofilament process model is still unable to meet the production needs. A way of performance prediction on carbon fiber protofilament was presented based on support vector regression( SVR) which was optimized by an optimization algorithm combining simulated annealing algorithm and genetic algorithm( SAGA-SVR). To verify the accuracy of the model,the carbon fiber protofilament production test data were analyzed and compared with BP neural network( BPNN). The results show that SAGA-SVR can predict the performance parameters of the carbon fiber protofilament accurately.展开更多
Seismic cluster nodes can be monitored by monitoring system,but thresholds for link failure alarm in monitoring systems are not determined presently,especially in different types of cluster links.Communication link ty...Seismic cluster nodes can be monitored by monitoring system,but thresholds for link failure alarm in monitoring systems are not determined presently,especially in different types of cluster links.Communication link types are discussed in seismic profession.By analyzing the characteristics of various links,the main performance metric,network latency,was proposed,which influenced states of communication links and gave the monitoring results deviation formula for judging the cluster monitoring system at different delay thresholds settings based on multiple-link delay error ratio analysis algorithm we offered.From the final experimental data of the monitoring system,fault alarm thresholds settings were posed under five different communication links,which had the instruction significance to the cluster monitoring in seismic profession.展开更多
Permanent magnet synchronous motor(PMSM) displays chaotic oscillation with certain parameter values,which threatens the secure operation of the power system.To control these unwanted chaotic oscillations,a new control...Permanent magnet synchronous motor(PMSM) displays chaotic oscillation with certain parameter values,which threatens the secure operation of the power system.To control these unwanted chaotic oscillations,a new control scheme which depended on external torque was designed.Based on Lyapunov stability theorem and the matrix theory,several sufficient conditions were derived,which ensured the global asymptotic stability and exponential stability for the chaotic PMSM with uncertain pulse disturbance.The designed controller based on external torque was able to eliminate the chaotic oscillations.A numerical example was given to demonstrate the effectiveness of the proposed results.展开更多
Owing to the radical changing of Chinese economy, it is essential to build an effective financial distress prediction model. In this paper, we present a genetic algorithm (GA) approach for optimizing parameters of sup...Owing to the radical changing of Chinese economy, it is essential to build an effective financial distress prediction model. In this paper, we present a genetic algorithm (GA) approach for optimizing parameters of support vector machine (SVM). We validate the proposed model on datasets of Chinese high-tech manufacturing industry. Experimental results reveal that the proposed GA-SVM model can compare to and even outperform other exiting classifiers. Compared to grid-search algorithm, the proposed GA-based takes less time to optimize SVM parameter without degrading the prediction accuracy of SVM.展开更多
Membrane proteins are embedded in the lipid bilayer,which creates a suitable environment for their actions. It is important to decide which tpye it belongs to because it is closely relevant to its biological function ...Membrane proteins are embedded in the lipid bilayer,which creates a suitable environment for their actions. It is important to decide which tpye it belongs to because it is closely relevant to its biological function and its interaction process with other molecules in a biological system. Membrane proteins have different types. The function of a membrane protein is closely correlated with the type it belongs to. In this study,on the basis of the concept of pseudo amino acid (PseAA) composition originally introduced by Chou,the value of approximate entropy (ApEn) of the query membrane protein was used to integrate the complementary information. By fusing fifteen powerful individual fuzzy K-nearest neighbor ( FKNN) classifiers,an ensemble classifier was presented. Each basic classifier was trained in PseAA composition of membrane protein sequences with different parameters. The results of experiments demonstrate it is efficient for the structural prediction of membrane proteins.展开更多
By modeling the decision-making process of garment coordination of fashion designers,a kind of computer-aid garment coordination using fuzzy neural network was proposed. The Takagi-Sugeno Fuzzy Neural Network (TSFNN) ...By modeling the decision-making process of garment coordination of fashion designers,a kind of computer-aid garment coordination using fuzzy neural network was proposed. The Takagi-Sugeno Fuzzy Neural Network (TSFNN) is used to learn the knowledge and rules of fashion designers on garment coordination and calculate the garment coordination satisfaction index (GCSI). The implementation of the computer-aid garment coordination tool is divided into two stages. The first stage is to acquire the knowledge of garment coordination. The second stage is to train and use the fuzzy neural network to conduct garment coordination. Three layers structure were also discussed for developing the system. By applying the computer-aid garment coordination tool into a real fashion-retailing store,the experimental results show the system performs well with choosing a suitable value for screening out the satisfaction coordination pairs.展开更多
In order to improve the performance of multi-objective workflow scheduling in cloud system, a multi-swarm multiobjective optimization algorithm(MSMOOA) is proposed to satisfy multiple conflicting objectives. Inspired ...In order to improve the performance of multi-objective workflow scheduling in cloud system, a multi-swarm multiobjective optimization algorithm(MSMOOA) is proposed to satisfy multiple conflicting objectives. Inspired by division of the same species into multiple swarms for different objectives and information sharing among these swarms in nature, each physical machine in the data center is considered a swarm and employs improved multi-objective particle swarm optimization to find out non-dominated solutions with one objective in MSMOOA. The particles in each swarm are divided into two classes and adopt different strategies to evolve cooperatively. One class of particles can communicate with several swarms simultaneously to promote the information sharing among swarms and the other class of particles can only exchange information with the particles located in the same swarm. Furthermore, in order to avoid the influence by the elastic available resources, a manager server is adopted in the cloud data center to collect the available resources for scheduling. The quality of the proposed method with other related approaches is evaluated by using hybrid and parallel workflow applications. The experiment results highlight the better performance of the MSMOOA than that of compared algorithms.展开更多
Traditional SNMP-based network management can not deal with the task of managing large-scaled distributed network,while policy-based management is one of the effective solutions in network and distributed systems mana...Traditional SNMP-based network management can not deal with the task of managing large-scaled distributed network,while policy-based management is one of the effective solutions in network and distributed systems management.However,cross-vendor hardware compatibility is one of the limitations in policy-based management.Devices existing in current network mostly support SNMP rather than Common Open Policy Service(COPS)protocol.By analyzing traditional network management and policy-based network management,a scalable network management framework is proposed.It is combined with Internet Engineering Task Force(IETF)framework for policy-based management and SNMP-based network management.By interpreting and translating policy decision to SNMP message,policy can be executed in traditional SNMP-based device.展开更多
Identification of nonlinear systems with unknown piecewise time-varying delay is concerned in this paper.Multiple auto regressive exogenous(ARX) models are identified at different process operating points,and the comp...Identification of nonlinear systems with unknown piecewise time-varying delay is concerned in this paper.Multiple auto regressive exogenous(ARX) models are identified at different process operating points,and the complete dynamics of the nonlinear system is represented by using a combination of a normalized exponential function as the probability density function with each of the local models.The parameters of the local ARX models and the exponential functions as well as the unknown piecewise time-varying delays are estimated simultaneously under the framework of the expectation maximization(EM) algorithm.A simulation example is applied to demonstrating the proposed identification method.展开更多
There are a number of dirty data in observation data set derived from integrated ocean observing network system.Thus,the data must be carefully and reasonably processed before they are used for forecasting or analysis...There are a number of dirty data in observation data set derived from integrated ocean observing network system.Thus,the data must be carefully and reasonably processed before they are used for forecasting or analysis.This paper proposes a data pre-processing model based on intelligent algorithms.Firstly,we introduce the integrated network platform of ocean observation.Next,the pre-processing model of data is presented,and an intelligent cleaning model of data is proposed.Based on fuzzy clustering,the Kohonen clustering network is improved to fulfill the parallel calculation of fuzzy c-means clustering.The proposed dynamic algorithm can automatically find the new clustering center with the updated sample data.The rapid and dynamic performance of the model makes it suitable for real time calculation,and the efficiency and accuracy of the model is proved by test results through observation data analysis.展开更多
In order to achieve an intelligent and automated self-management network,dynamic policy configuration and selection are needed.A certain policy only suits to a certain network environment.If the network environment ch...In order to achieve an intelligent and automated self-management network,dynamic policy configuration and selection are needed.A certain policy only suits to a certain network environment.If the network environment changes,the certain policy does not suit any more.Thereby,the policy-based management should also have similar "natural selection" process.Useful policy will be retained,and policies which have lost their effectiveness are eliminated.A policy optimization method based on evolutionary learning was proposed.For different shooting times,the priority of policy with high shooting times is improved,while policy with a low rate has lower priority,and long-term no shooting policy will be dormant.Thus the strategy for the survival of the fittest is realized,and the degree of self-learning in policy management is improved.展开更多
In recent years,there has been a backlash of sorts and the authenticity of images has been routinely questioned.Seeing is no longer believing.There is an urgent need for robust image forensic techniques to expose phot...In recent years,there has been a backlash of sorts and the authenticity of images has been routinely questioned.Seeing is no longer believing.There is an urgent need for robust image forensic techniques to expose photo forgery.This paper proposed a novel and effective technique to expose image forgery using inconsistent reflection.More specifically,a new technique was presented to calculate reflection line midpoint,the definition of midpoint ratio was given,and three standards were proposed and employed to detect image forgery.Accuracy and effectiveness of the proposed technique were evaluated using a data set consisting of 200 authentic and forged images.Experimental results indicate that the proposed method can detect image forgery with very high success rate.展开更多
Application layer multicast (ALM) has been widely applied in Internet, as a substitute for IP multicast. However, it causes network load to increase because it adopts unicast in data transmission, which limits the app...Application layer multicast (ALM) has been widely applied in Internet, as a substitute for IP multicast. However, it causes network load to increase because it adopts unicast in data transmission, which limits the application. In this article, in order to improve the ALM performance in P2P-SIP network, an ALM model was proposed which reduced network load via merging messages in concast mode. Finally network simulations prove that this model has better benefit on single node load and average network load. Therefore, it is suitable for streaming media service in P2P-SIP Network.展开更多
A scalable communication mechanism is proposed for service emergence based on bio-network.Service emergence is a novel model inspired by the characteristics of emergence and self-evolution in biological neuroendocrine...A scalable communication mechanism is proposed for service emergence based on bio-network.Service emergence is a novel model inspired by the characteristics of emergence and self-evolution in biological neuroendocrine and immune system,emergent communication means a group communication of mobile bio-entities.A series of protocol and algorithm are presented within frequently bio-entities migration and failure,it includes distribution and parallelization of message propagation method,a token-ring protocol that considerably improves the performance of emergence,and failure detection mechanisms.Experiment results show the desired capability via the proposed solution.展开更多
Delay Tolerant Network (DTN) is a class of networks that experience frequent and long-duration partitions due to sparse distribution of nodes.It has a broad prospect to new network applications for a better scalabilit...Delay Tolerant Network (DTN) is a class of networks that experience frequent and long-duration partitions due to sparse distribution of nodes.It has a broad prospect to new network applications for a better scalability,fault-tolerant,and high performance.In DTNs,path failure occurs frequently,so message transfer is not reliable.Sometimes it is required to change routing even in a very short period,resulting in transmission delay and reception delay.However,some well-known assumptions of traditional networks are no longer true in DTNs.In this paper,we study the problem of path failures in DTNs.The path failure process in DTNs is described when the path appears completely normal,completely failed and partially failed.Traditional approaches based on using precisely known network dynamics have not accounted for message losses.A new fault tolerant scheme to generate redundancy is to use erasure coding and full replication.This can greatly decrease the path failure rate.At last,a traffic DTN model is analyzed.Results reveal the superiority of our scheme in comparison to other present schemes.展开更多
A method for deformation of 3D point clouds models was proposed with multi-constraints including arc-length constraints and multi-points position constraints. The energy function was built for the polyline which had b...A method for deformation of 3D point clouds models was proposed with multi-constraints including arc-length constraints and multi-points position constraints. The energy function was built for the polyline which had been converted from the curve. Based on the minimum energy curve method, the curve on the mesh was deformed. The test results show that the proposed method has good performance. Compared with the other method,shape preserving of the curve is better. Finally,this method is used for the deformation of the 3D mannequin model. Circumference changes of the mannequin model can be reflected by the arc-length change in the size of the cross section.展开更多
基金National Nature Science Foundations of China (No.60975059, No.60775052)Specialized Research Fund for the Doctoral Program of Higher Education from Ministry of Education of China (No.20090075110002)Projects of Shanghai Committee of Science and Technology, China (No.09JC1400900, No.08JC1400100, No.10DZ0506500)
文摘Improving customer experience has become a more and more important role in enhancing customer service in fashion retailing business. In this study,a kind of intelligent garment coordination and try-on system for fashion retailing was proposed. Radio Frequency Identification (RFID) technology was used to identify customer and garment item automatically. The intelligent procedure for garment coordination recommendation using Artificial Neural Network (ANN) was developed to imitate fashion designers' decision-making on garment coordination. Virtual try-on algorithm based on the customer's 2D image was accomplished using image-warping technique. The system architecture and the software framework were also described. The results show that the system is a practical and useful application for fashion retailers.
基金the Key Project of the National Nature Science Foundation of China(No.61134009)Program for Changjiang Scholars and Innovation Research Team in University from the Ministry of Education,China(No.IRT1220)+1 种基金Specialized Research Funds for Shanghai Leading Talents,Project of the Shanghai Committee of Science and Technology,China,(No.13JC1407500)the Fundamental Research Funds for the Central Universities,China(No.2232012A3-04)
文摘Occurrence of vascular diseases is increasing and leads to rising demand for the STENT-GRAFT( SG). To ensure the SG function properly,the materials should have low blood permeability and good mechanical properties. So far, there have been few systematic studies on the relationship between textile structures and mechanical properties of the bio-textiles used in the SG. In this study, six types of biomedical PET fabrics with different yarn structures and fabric structures were designed and fabricated. All the SG materials could meet the requirement of thickness,except the sample of 30 d × 20 d with 2 /2 twill construction,which was thicker than 0. 12 mm. Bursting strength and water permeability( WP) of the six samples were also tested. Through the comparison of comprehensive performance,the PET fabric 30 d × 20 d /12 f with2 /2 twill construction with both good resistances to permeability and bursting strength, might have good prospect in applications of vascular engineering.
基金the Key Project of National Natural Science Foundation of China(No.61134009)Program for Changjiang Scholars and Innovation Research Team in University from the Ministry of Education,China(No.IRT1220)+1 种基金Specialized Research Fund for Shanghai Leading Talents,Project of the Shanghai Committee of Science and Technology,China(No.13JC1407500)the Fundamental Research Funds for the Central Universities,China(No.2232012A3-04)
文摘The existing optimized performance prediction of carbon fiber protofilament process model is still unable to meet the production needs. A way of performance prediction on carbon fiber protofilament was presented based on support vector regression( SVR) which was optimized by an optimization algorithm combining simulated annealing algorithm and genetic algorithm( SAGA-SVR). To verify the accuracy of the model,the carbon fiber protofilament production test data were analyzed and compared with BP neural network( BPNN). The results show that SAGA-SVR can predict the performance parameters of the carbon fiber protofilament accurately.
基金National Natural Science Fundations of China(Nos.71171045 and 61301118)Shanghai Science and Technology Committee Program,China(No.15dz1207600)China Scholarship Council(No.201504190015)
文摘Seismic cluster nodes can be monitored by monitoring system,but thresholds for link failure alarm in monitoring systems are not determined presently,especially in different types of cluster links.Communication link types are discussed in seismic profession.By analyzing the characteristics of various links,the main performance metric,network latency,was proposed,which influenced states of communication links and gave the monitoring results deviation formula for judging the cluster monitoring system at different delay thresholds settings based on multiple-link delay error ratio analysis algorithm we offered.From the final experimental data of the monitoring system,fault alarm thresholds settings were posed under five different communication links,which had the instruction significance to the cluster monitoring in seismic profession.
基金National Natural Science Foundation of China(No.61573095)Natural Science Foundation of Shanghai,China(No.15ZR1401800)
文摘Permanent magnet synchronous motor(PMSM) displays chaotic oscillation with certain parameter values,which threatens the secure operation of the power system.To control these unwanted chaotic oscillations,a new control scheme which depended on external torque was designed.Based on Lyapunov stability theorem and the matrix theory,several sufficient conditions were derived,which ensured the global asymptotic stability and exponential stability for the chaotic PMSM with uncertain pulse disturbance.The designed controller based on external torque was able to eliminate the chaotic oscillations.A numerical example was given to demonstrate the effectiveness of the proposed results.
基金Supported by the Cultivation Fund of the Key Scientific and Technical Innovation Project from Ministry of Education of China ( No.706024)the International Science Cooperation Foundation of Shanghai (No.061307041)the Excellent Youth Foundation ofShanghai (No.07A212)
文摘Owing to the radical changing of Chinese economy, it is essential to build an effective financial distress prediction model. In this paper, we present a genetic algorithm (GA) approach for optimizing parameters of support vector machine (SVM). We validate the proposed model on datasets of Chinese high-tech manufacturing industry. Experimental results reveal that the proposed GA-SVM model can compare to and even outperform other exiting classifiers. Compared to grid-search algorithm, the proposed GA-based takes less time to optimize SVM parameter without degrading the prediction accuracy of SVM.
基金National Nature Science Foundations of China (No.60975059, No.60775052)Specialized Research Fund for the Doctoral Program of Higher Education from Ministry of Education of China ( No.20090075110002)Projects of the Shanghai Committee of Science and Technology (No.09JC1400900, No.08JC1400100, No.10DZ0506500)
文摘Membrane proteins are embedded in the lipid bilayer,which creates a suitable environment for their actions. It is important to decide which tpye it belongs to because it is closely relevant to its biological function and its interaction process with other molecules in a biological system. Membrane proteins have different types. The function of a membrane protein is closely correlated with the type it belongs to. In this study,on the basis of the concept of pseudo amino acid (PseAA) composition originally introduced by Chou,the value of approximate entropy (ApEn) of the query membrane protein was used to integrate the complementary information. By fusing fifteen powerful individual fuzzy K-nearest neighbor ( FKNN) classifiers,an ensemble classifier was presented. Each basic classifier was trained in PseAA composition of membrane protein sequences with different parameters. The results of experiments demonstrate it is efficient for the structural prediction of membrane proteins.
基金National Natural Science Foundations of China (No.60975059, No.60775052)Specialized Research Fund for the Doctoral Program of Higher Education from Ministry of Education of China (No.20090075110002)Projects of Shanghai Committee of Science and Technology, China (No.09JC1400900, No.08JC1400100, No.10DZ0506500)
文摘By modeling the decision-making process of garment coordination of fashion designers,a kind of computer-aid garment coordination using fuzzy neural network was proposed. The Takagi-Sugeno Fuzzy Neural Network (TSFNN) is used to learn the knowledge and rules of fashion designers on garment coordination and calculate the garment coordination satisfaction index (GCSI). The implementation of the computer-aid garment coordination tool is divided into two stages. The first stage is to acquire the knowledge of garment coordination. The second stage is to train and use the fuzzy neural network to conduct garment coordination. Three layers structure were also discussed for developing the system. By applying the computer-aid garment coordination tool into a real fashion-retailing store,the experimental results show the system performs well with choosing a suitable value for screening out the satisfaction coordination pairs.
基金Project(61473078)supported by the National Natural Science Foundation of ChinaProject(2015-2019)supported by the Program for Changjiang Scholars from the Ministry of Education,China+1 种基金Project(16510711100)supported by International Collaborative Project of the Shanghai Committee of Science and Technology,ChinaProject(KJ2017A418)supported by Anhui University Science Research,China
文摘In order to improve the performance of multi-objective workflow scheduling in cloud system, a multi-swarm multiobjective optimization algorithm(MSMOOA) is proposed to satisfy multiple conflicting objectives. Inspired by division of the same species into multiple swarms for different objectives and information sharing among these swarms in nature, each physical machine in the data center is considered a swarm and employs improved multi-objective particle swarm optimization to find out non-dominated solutions with one objective in MSMOOA. The particles in each swarm are divided into two classes and adopt different strategies to evolve cooperatively. One class of particles can communicate with several swarms simultaneously to promote the information sharing among swarms and the other class of particles can only exchange information with the particles located in the same swarm. Furthermore, in order to avoid the influence by the elastic available resources, a manager server is adopted in the cloud data center to collect the available resources for scheduling. The quality of the proposed method with other related approaches is evaluated by using hybrid and parallel workflow applications. The experiment results highlight the better performance of the MSMOOA than that of compared algorithms.
基金National Nature Science Foundation of China(No.60534020)Cultivation Fundation of the Key Scientific and Technical Innovation Project from Ministry of Education of China(No.706024)International Science Cooperation Foundation of Shanghai,China(No.061307041)
文摘Traditional SNMP-based network management can not deal with the task of managing large-scaled distributed network,while policy-based management is one of the effective solutions in network and distributed systems management.However,cross-vendor hardware compatibility is one of the limitations in policy-based management.Devices existing in current network mostly support SNMP rather than Common Open Policy Service(COPS)protocol.By analyzing traditional network management and policy-based network management,a scalable network management framework is proposed.It is combined with Internet Engineering Task Force(IETF)framework for policy-based management and SNMP-based network management.By interpreting and translating policy decision to SNMP message,policy can be executed in traditional SNMP-based device.
基金Key Project of the National Nature Science Foundation of China(No.61134009)National Nature Science Foundations of China(Nos.61473077,61473078,61503075)+5 种基金Program for Changjiang Scholars from the Ministry of Education,ChinaSpecialized Research Fund for Shanghai Leading Talents,ChinaProject of the Shanghai Committee of Science and Technology,China(No.13JC1407500)Innovation Program of Shanghai Municipal Education Commission,China(No.14ZZ067)Shanghai Pujiang Program,China(No.15PJ1400100)Fundamental Research Funds for the Central Universities,China(Nos.15D110423,2232015D3-32)
文摘Identification of nonlinear systems with unknown piecewise time-varying delay is concerned in this paper.Multiple auto regressive exogenous(ARX) models are identified at different process operating points,and the complete dynamics of the nonlinear system is represented by using a combination of a normalized exponential function as the probability density function with each of the local models.The parameters of the local ARX models and the exponential functions as well as the unknown piecewise time-varying delays are estimated simultaneously under the framework of the expectation maximization(EM) algorithm.A simulation example is applied to demonstrating the proposed identification method.
基金Key Science and Technology Project of the Shanghai Committee of Science and Technology, China (No.06dz1200921)Major Basic Research Project of the Shanghai Committee of Science and Technology(No.08JC1400100)+1 种基金Shanghai Talent Developing Foundation, China(No.001)Specialized Foundation for Excellent Talent of Shanghai,China
文摘There are a number of dirty data in observation data set derived from integrated ocean observing network system.Thus,the data must be carefully and reasonably processed before they are used for forecasting or analysis.This paper proposes a data pre-processing model based on intelligent algorithms.Firstly,we introduce the integrated network platform of ocean observation.Next,the pre-processing model of data is presented,and an intelligent cleaning model of data is proposed.Based on fuzzy clustering,the Kohonen clustering network is improved to fulfill the parallel calculation of fuzzy c-means clustering.The proposed dynamic algorithm can automatically find the new clustering center with the updated sample data.The rapid and dynamic performance of the model makes it suitable for real time calculation,and the efficiency and accuracy of the model is proved by test results through observation data analysis.
基金National Natural Science Foundation of China(No.60534020)Cultivation Fund of the Key Scientific and Technical Innovation Project from Ministry of Education of China(No.706024)International Science Cooperation Foundation of Shanghai,China(No.061307041)
文摘In order to achieve an intelligent and automated self-management network,dynamic policy configuration and selection are needed.A certain policy only suits to a certain network environment.If the network environment changes,the certain policy does not suit any more.Thereby,the policy-based management should also have similar "natural selection" process.Useful policy will be retained,and policies which have lost their effectiveness are eliminated.A policy optimization method based on evolutionary learning was proposed.For different shooting times,the priority of policy with high shooting times is improved,while policy with a low rate has lower priority,and long-term no shooting policy will be dormant.Thus the strategy for the survival of the fittest is realized,and the degree of self-learning in policy management is improved.
基金Fundamental Research Funds for the Central Universities,China
文摘In recent years,there has been a backlash of sorts and the authenticity of images has been routinely questioned.Seeing is no longer believing.There is an urgent need for robust image forensic techniques to expose photo forgery.This paper proposed a novel and effective technique to expose image forgery using inconsistent reflection.More specifically,a new technique was presented to calculate reflection line midpoint,the definition of midpoint ratio was given,and three standards were proposed and employed to detect image forgery.Accuracy and effectiveness of the proposed technique were evaluated using a data set consisting of 200 authentic and forged images.Experimental results indicate that the proposed method can detect image forgery with very high success rate.
基金National Natural Science Foundation of China ( No. 71171045 ) Fundamental Research Funds for the Central Universities,China ( No. 11D10413,No. 11D10417,No. 12D10416 ) Donghua University Research Foundation for Young Teacher,China ( No. 104-10-0044010 )
文摘Application layer multicast (ALM) has been widely applied in Internet, as a substitute for IP multicast. However, it causes network load to increase because it adopts unicast in data transmission, which limits the application. In this article, in order to improve the ALM performance in P2P-SIP network, an ALM model was proposed which reduced network load via merging messages in concast mode. Finally network simulations prove that this model has better benefit on single node load and average network load. Therefore, it is suitable for streaming media service in P2P-SIP Network.
基金Supported in part by the Key Project of the National Nature Science Foundation of China(No.60534020)the National Nature Science Foundation of China(No.60474037)Programfor New Century Excellent Talents in University(No.NCET-04-415)
文摘A scalable communication mechanism is proposed for service emergence based on bio-network.Service emergence is a novel model inspired by the characteristics of emergence and self-evolution in biological neuroendocrine and immune system,emergent communication means a group communication of mobile bio-entities.A series of protocol and algorithm are presented within frequently bio-entities migration and failure,it includes distribution and parallelization of message propagation method,a token-ring protocol that considerably improves the performance of emergence,and failure detection mechanisms.Experiment results show the desired capability via the proposed solution.
基金National Nature Science Foundation of China (No.60534020)Cultivation Fund of the Key Scientific and Technical Innovation Project from Ministry of Education of China(No.706024)+1 种基金International Science Cooperation Foundation of Shanghai,China(No.061307041)Shanghai Talent Developing Foundation,China(No.010)
文摘Delay Tolerant Network (DTN) is a class of networks that experience frequent and long-duration partitions due to sparse distribution of nodes.It has a broad prospect to new network applications for a better scalability,fault-tolerant,and high performance.In DTNs,path failure occurs frequently,so message transfer is not reliable.Sometimes it is required to change routing even in a very short period,resulting in transmission delay and reception delay.However,some well-known assumptions of traditional networks are no longer true in DTNs.In this paper,we study the problem of path failures in DTNs.The path failure process in DTNs is described when the path appears completely normal,completely failed and partially failed.Traditional approaches based on using precisely known network dynamics have not accounted for message losses.A new fault tolerant scheme to generate redundancy is to use erasure coding and full replication.This can greatly decrease the path failure rate.At last,a traffic DTN model is analyzed.Results reveal the superiority of our scheme in comparison to other present schemes.
基金the Key Project of the National Nature Science Foundation of China(No.61134009)Program for Changjiang Scholars and Innovation Research Team in University from the Ministry of Education,China(No.IRT1220)+2 种基金Specialized Research Funds for Shanghai Leading Talents,Project of the Shanghai Committee of Science and Technology,China(Nos.13JC1400200,11JC1400200)Innovation Program of Shanghai Municipal Education Commission,China(No.14ZZ067)the Fundamental Research Funds for the Central Universities,China(No.2232012A3-04)
文摘A method for deformation of 3D point clouds models was proposed with multi-constraints including arc-length constraints and multi-points position constraints. The energy function was built for the polyline which had been converted from the curve. Based on the minimum energy curve method, the curve on the mesh was deformed. The test results show that the proposed method has good performance. Compared with the other method,shape preserving of the curve is better. Finally,this method is used for the deformation of the 3D mannequin model. Circumference changes of the mannequin model can be reflected by the arc-length change in the size of the cross section.
