Nowadays,wireless communication devices turn out to be transportable owing to the execution of the current technologies.The antenna is the most important component deployed for communication purposes.The antenna plays...Nowadays,wireless communication devices turn out to be transportable owing to the execution of the current technologies.The antenna is the most important component deployed for communication purposes.The antenna plays an imperative role in receiving and transmitting the signals for any sensor network.Among varied antennas,micro strip fractal antenna(MFA)significantly contributes to increasing antenna gain.This study employs a hybrid optimization method known as the elephant clan updated grey wolf algorithm to introduce an optimized MFA design.This method optimizes antenna characteristics,including directivity and gain.Here,the factors,including length,width,ground plane length,height,and feed offset-X and feed offset-Y,are taken into account to achieve the best performance of gain and directivity.Ultimately,the superiority of the suggested technique over state-of-the-art strategies is calculated for various metrics such as cost and gain.The adopted model converges to a minimal value of 0.2872.Further,the spider monkey optimization(SMO)model accomplishes the worst performance over all other existing models like elephant herding optimization(EHO),grey wolf optimization(GWO),lion algorithm(LA),support vector regressor(SVR),bacterial foraging-particle swarm optimization(BF-PSO)and shark smell optimization(SSO).Effective MFA design is obtained using the suggested strategy regarding various parameters.展开更多
Without considering the influence of heat,existing fractal contact models are not applicable to analyze the contacts when the temperature changes.For this problem,the normal load model and the normal stiffness model o...Without considering the influence of heat,existing fractal contact models are not applicable to analyze the contacts when the temperature changes.For this problem,the normal load model and the normal stiffness model of thermal elasto-plastic contact of rough surfaces are developed respectively in this paper.The proposed model is based on the normal contact mechanics model of fractal theory of anisotropic and thermal elasto-plastic contact theory which can be used to characterize the rough surface thermodynamic properties.Then the validity of the model is verified.Finally,the influence of main parameters on the total normal load and the whole normal stiffness of thermal elasto-plastic contact at the interface is analyzed by contact simulation.The results show that the total normal load of thermal elasto-plastic contact increases with the increases of temperature.The whole normal stiffness of thermal elasto-plastic contact increases with increasing coefficient of linear expansion,scale factor,temperature difference or fractal dimension,but decreases with increasing fractal roughness.This model expands basic theory and applications of traditional models,and can be used to calculate and analyze the contacts when the temperature changes.展开更多
Distinguishing geochemical anomalies from background is a basic task in exploratory geochemistry. The derivation of geochemical anomalies from stream sediment geochemical data and the decomposition of these anomalies ...Distinguishing geochemical anomalies from background is a basic task in exploratory geochemistry. The derivation of geochemical anomalies from stream sediment geochemical data and the decomposition of these anomalies into their component patterns were described. A set of stream sediment geochemical data was obtained for 1 880 km 2 of the Pangxidong area, which is in the southern part of the recently recognized Qinzhou-Hangzhou joint tectonic belt. This belt crosses southern China and tends to the northwest (NE) direction. The total number of collected samples was 7 236, and the concentrations of Ag, Au, Cu, As, Pb and Zn were measured for each sample. The spatial combination distribution law of geochemical elements and principal component analysis (PCA) were used to construct combination models for the identification of combinations of geochemical anomalies. Spectrum-area (S-A) fractal modeling was used to strengthen weak anomalies and separate them from the background. Composite anomaly modeling was combined with fractal filtering techniques to process and analyze the geochemical data. The raster maps of Au, Ag, Cu, As, Pb and Zn were obtained by the multifractal inverse distance weighted (MIDW) method. PCA was used to combine the Au, Ag, Cu, As, Pb, and Zn concentration values. The S-A fractal method was used to decompose the first component pattern achieved by the PCA. The results show that combination anomalies from a combination of variables coincide with the known mineralization of the study area. Although the combination anomalies cannot reflect local anomalies closely enough, high-anomaly areas indicate good sites for further exploration for unknown deposits. On this basis, anomaly and background separation from combination anomalies using fractal filtering techniques can provide guidance for later work.展开更多
An approach was proposed to specify the C4ISR capability of domain-specific modeling language.To confine the domain modeling within a standard architecture framework,formally a C4ISR capability meta-ontology was defin...An approach was proposed to specify the C4ISR capability of domain-specific modeling language.To confine the domain modeling within a standard architecture framework,formally a C4ISR capability meta-ontology was defined according to the meta-model of DoD Architecture Framework.The meta-ontology is used for extending UML Profile so that the domain experts can model the C4ISR domains using the C4ISR capability meta-concepts to define a domain-specific modeling language.The domain models can be then checked to guarantee the consistency and completeness through converting the UML models into the Description Logic ontology and making use of inference engine Pellet to verify the ontology.展开更多
To analyze the behavioral model of the command,control,communication,computer,intelligence,surveillance,reconnaissance(C4ISR)architecture,we propose an executable modeling and analyzing approach to it.First,the meta c...To analyze the behavioral model of the command,control,communication,computer,intelligence,surveillance,reconnaissance(C4ISR)architecture,we propose an executable modeling and analyzing approach to it.First,the meta concept model of the C4ISR architecture is introduced.According to the meta concept model,we construct the executable meta models of the C4ISR architecture by extending the meta models of fUML.Then,we define the concrete syntax and executable activity algebra(EAA)semantics for executable models.The semantics functions are introduced to translating the syntax description of executable models into the item of EAA.To support the execution of models,we propose the executable rules which are the structural operational semantics of EAA.Finally,an area air defense of the C4ISR system is used to illustrate the feasibility of the approach.展开更多
The state of energy(SOE)is an important state parameter and evaluation index to indicate the residual energy for LiFeP0_(4)/C battery.In order to improve the estimation accuracy of SOE,the influence of the thermal ene...The state of energy(SOE)is an important state parameter and evaluation index to indicate the residual energy for LiFeP0_(4)/C battery.In order to improve the estimation accuracy of SOE,the influence of the thermal energy inside the battery is researched by the electro-thermal energy model and an enhanced algorithm considering electrical energy and thermal energy is proposed to realize the accurate estimation of SOE.The novel estimation model is verified by lots of experiments that it's highly similar to the situation of actual energy consumption and has a high accuracy of SOE estimation.展开更多
OBJECTIVE In recent years,the frequency of hyperuricemia has gradually risen along with the improvement of living standards,the irregular of diet and overfeeding greasy and surfeit flavor.However,hyperuricemia is a di...OBJECTIVE In recent years,the frequency of hyperuricemia has gradually risen along with the improvement of living standards,the irregular of diet and overfeeding greasy and surfeit flavor.However,hyperuricemia is a disorder of purine metabolism,and is strongly associated with insulin resistance and abnormal glucose metabolism.It is important to obtain a more stable and sustained animal model for the efficacy evaluation of traditional Chinese medicine(TCM).METHODS To manufacture the rodent model of hyperuricemia,the theory of increasing the source of the uric acid,reducing uric acid excretion and inhibiting uricase were used.We observed the influence on the serum uric acid and other indicators of rats induced by some factors:the lipid emulsion,high purine diet,beer with sugar,beer with sugar and high purine,and so on.Then we choose one of the stable and sustained animal models,studying the effects of Plo.E(which extracted from a TCM)on modulating the level of serum uric acid and the preliminary mechanism in this abstract.RESULTS ① At the 2nd week,the level of serum UA,BUN,Cr,TC,LDL-c of rats in the lipid emulsion group raised significantly.② At the 6th weeks,the serum UA in both the high purine diet group and lipid emulsion group raised obviously.③ The effects of Plo.E on hyperuricemia rats induced by high purine diet:After 8d administration,the Plo.E(three dosages)can reduce the UA level,and the middle and low dosages can reduce the TG level.After 25 dadministration,Plo.E can reduce the plasma viscosity,UA,TG,the whole blood viscosity level,the high dosage also can reduce the TC level.CONCLUSION The rats induced by the high purine diet and lipid emulsion can raised the serum UA obviously,while the way of lipid emulsion is earlier and more stable.Plo.E has a therapeutic effect on hyperuricemia,with an activity of reducing plasma viscosity and blood lipid.The above models conform to the pathogenesis of humans,can be used to study the causes and pathogenesis of hyperuricemia complicating metabolic disorder and the related treatment drug screening.展开更多
文摘Nowadays,wireless communication devices turn out to be transportable owing to the execution of the current technologies.The antenna is the most important component deployed for communication purposes.The antenna plays an imperative role in receiving and transmitting the signals for any sensor network.Among varied antennas,micro strip fractal antenna(MFA)significantly contributes to increasing antenna gain.This study employs a hybrid optimization method known as the elephant clan updated grey wolf algorithm to introduce an optimized MFA design.This method optimizes antenna characteristics,including directivity and gain.Here,the factors,including length,width,ground plane length,height,and feed offset-X and feed offset-Y,are taken into account to achieve the best performance of gain and directivity.Ultimately,the superiority of the suggested technique over state-of-the-art strategies is calculated for various metrics such as cost and gain.The adopted model converges to a minimal value of 0.2872.Further,the spider monkey optimization(SMO)model accomplishes the worst performance over all other existing models like elephant herding optimization(EHO),grey wolf optimization(GWO),lion algorithm(LA),support vector regressor(SVR),bacterial foraging-particle swarm optimization(BF-PSO)and shark smell optimization(SSO).Effective MFA design is obtained using the suggested strategy regarding various parameters.
基金Project(52130501)supported by the National Natural Science Foundation of ChinaProject(LY20E050012)supported by the Natural Science Foundation of Zhejiang Province,ChinaProject(Y201942581)supported by the Scientific Research Project of Education Department of Zhejiang Province,China。
文摘Without considering the influence of heat,existing fractal contact models are not applicable to analyze the contacts when the temperature changes.For this problem,the normal load model and the normal stiffness model of thermal elasto-plastic contact of rough surfaces are developed respectively in this paper.The proposed model is based on the normal contact mechanics model of fractal theory of anisotropic and thermal elasto-plastic contact theory which can be used to characterize the rough surface thermodynamic properties.Then the validity of the model is verified.Finally,the influence of main parameters on the total normal load and the whole normal stiffness of thermal elasto-plastic contact at the interface is analyzed by contact simulation.The results show that the total normal load of thermal elasto-plastic contact increases with the increases of temperature.The whole normal stiffness of thermal elasto-plastic contact increases with increasing coefficient of linear expansion,scale factor,temperature difference or fractal dimension,but decreases with increasing fractal roughness.This model expands basic theory and applications of traditional models,and can be used to calculate and analyze the contacts when the temperature changes.
基金Project(1212010071012) supported by Guangdong Pangxidong Mineral Prospect Investigation, ChinaProject(41004051) supported by the National Natural Science Foundation of ChinaProject ([2007]038-01-18) supported by Nationwide Mineral Resource Potential Evaluation Projects of Ministry of Land and Resources, China
文摘Distinguishing geochemical anomalies from background is a basic task in exploratory geochemistry. The derivation of geochemical anomalies from stream sediment geochemical data and the decomposition of these anomalies into their component patterns were described. A set of stream sediment geochemical data was obtained for 1 880 km 2 of the Pangxidong area, which is in the southern part of the recently recognized Qinzhou-Hangzhou joint tectonic belt. This belt crosses southern China and tends to the northwest (NE) direction. The total number of collected samples was 7 236, and the concentrations of Ag, Au, Cu, As, Pb and Zn were measured for each sample. The spatial combination distribution law of geochemical elements and principal component analysis (PCA) were used to construct combination models for the identification of combinations of geochemical anomalies. Spectrum-area (S-A) fractal modeling was used to strengthen weak anomalies and separate them from the background. Composite anomaly modeling was combined with fractal filtering techniques to process and analyze the geochemical data. The raster maps of Au, Ag, Cu, As, Pb and Zn were obtained by the multifractal inverse distance weighted (MIDW) method. PCA was used to combine the Au, Ag, Cu, As, Pb, and Zn concentration values. The S-A fractal method was used to decompose the first component pattern achieved by the PCA. The results show that combination anomalies from a combination of variables coincide with the known mineralization of the study area. Although the combination anomalies cannot reflect local anomalies closely enough, high-anomaly areas indicate good sites for further exploration for unknown deposits. On this basis, anomaly and background separation from combination anomalies using fractal filtering techniques can provide guidance for later work.
基金Project(2007AA01Z126) supported by the National High Technology Research and Development Program of ChinaProject(51306010202) supported by the National Defense Advance Research Program of China
文摘An approach was proposed to specify the C4ISR capability of domain-specific modeling language.To confine the domain modeling within a standard architecture framework,formally a C4ISR capability meta-ontology was defined according to the meta-model of DoD Architecture Framework.The meta-ontology is used for extending UML Profile so that the domain experts can model the C4ISR domains using the C4ISR capability meta-concepts to define a domain-specific modeling language.The domain models can be then checked to guarantee the consistency and completeness through converting the UML models into the Description Logic ontology and making use of inference engine Pellet to verify the ontology.
文摘To analyze the behavioral model of the command,control,communication,computer,intelligence,surveillance,reconnaissance(C4ISR)architecture,we propose an executable modeling and analyzing approach to it.First,the meta concept model of the C4ISR architecture is introduced.According to the meta concept model,we construct the executable meta models of the C4ISR architecture by extending the meta models of fUML.Then,we define the concrete syntax and executable activity algebra(EAA)semantics for executable models.The semantics functions are introduced to translating the syntax description of executable models into the item of EAA.To support the execution of models,we propose the executable rules which are the structural operational semantics of EAA.Finally,an area air defense of the C4ISR system is used to illustrate the feasibility of the approach.
基金supported by National Natural Science Foundation of China(51477171)Foundation of Key Laboratory of Renewable Energy,Chinese Academy of Sciences(y407ja1001)Guangzhou Science and Technology Program(201509030005,201509010018)
文摘The state of energy(SOE)is an important state parameter and evaluation index to indicate the residual energy for LiFeP0_(4)/C battery.In order to improve the estimation accuracy of SOE,the influence of the thermal energy inside the battery is researched by the electro-thermal energy model and an enhanced algorithm considering electrical energy and thermal energy is proposed to realize the accurate estimation of SOE.The novel estimation model is verified by lots of experiments that it's highly similar to the situation of actual energy consumption and has a high accuracy of SOE estimation.
基金The project supported by National Major Scientific and Technological Specialized Project for the Significant Formulation of New Drugs,China(2014ZX09301-307-13)Zhejiang Province Health High-Level Innovative Talents Training Project
文摘OBJECTIVE In recent years,the frequency of hyperuricemia has gradually risen along with the improvement of living standards,the irregular of diet and overfeeding greasy and surfeit flavor.However,hyperuricemia is a disorder of purine metabolism,and is strongly associated with insulin resistance and abnormal glucose metabolism.It is important to obtain a more stable and sustained animal model for the efficacy evaluation of traditional Chinese medicine(TCM).METHODS To manufacture the rodent model of hyperuricemia,the theory of increasing the source of the uric acid,reducing uric acid excretion and inhibiting uricase were used.We observed the influence on the serum uric acid and other indicators of rats induced by some factors:the lipid emulsion,high purine diet,beer with sugar,beer with sugar and high purine,and so on.Then we choose one of the stable and sustained animal models,studying the effects of Plo.E(which extracted from a TCM)on modulating the level of serum uric acid and the preliminary mechanism in this abstract.RESULTS ① At the 2nd week,the level of serum UA,BUN,Cr,TC,LDL-c of rats in the lipid emulsion group raised significantly.② At the 6th weeks,the serum UA in both the high purine diet group and lipid emulsion group raised obviously.③ The effects of Plo.E on hyperuricemia rats induced by high purine diet:After 8d administration,the Plo.E(three dosages)can reduce the UA level,and the middle and low dosages can reduce the TG level.After 25 dadministration,Plo.E can reduce the plasma viscosity,UA,TG,the whole blood viscosity level,the high dosage also can reduce the TC level.CONCLUSION The rats induced by the high purine diet and lipid emulsion can raised the serum UA obviously,while the way of lipid emulsion is earlier and more stable.Plo.E has a therapeutic effect on hyperuricemia,with an activity of reducing plasma viscosity and blood lipid.The above models conform to the pathogenesis of humans,can be used to study the causes and pathogenesis of hyperuricemia complicating metabolic disorder and the related treatment drug screening.
