Recently,many regression models have been presented for prediction of mechanical parameters of rocks regarding to rock index properties.Although statistical analysis is a common method for developing regression models...Recently,many regression models have been presented for prediction of mechanical parameters of rocks regarding to rock index properties.Although statistical analysis is a common method for developing regression models,but still selection of suitable transformation of the independent variables in a regression model is diffcult.In this paper,a genetic algorithm(GA)has been employed as a heuristic search method for selection of best transformation of the independent variables(some index properties of rocks)in regression models for prediction of uniaxial compressive strength(UCS)and modulus of elasticity(E).Firstly,multiple linear regression(MLR)analysis was performed on a data set to establish predictive models.Then,two GA models were developed in which root mean squared error(RMSE)was defned as ftness function.Results have shown that GA models are more precise than MLR models and are able to explain the relation between the intrinsic strength/elasticity properties and index properties of rocks by simple formulation and accepted accuracy.展开更多
A novel flocking control approach is proposed for multi-agent systems by integrating the variables of velocities, motion directions, and positions of agents. A received signal strength indicator （RSSI） is applied as...A novel flocking control approach is proposed for multi-agent systems by integrating the variables of velocities, motion directions, and positions of agents. A received signal strength indicator （RSSI） is applied as a variable to estimate the inter-distance between agents. A key parameter that contains the local information of agents is defined, and a multi-variable controller is proposed based on the parameter. For the position control of agents, the RSSI is introduced to substitute the distance as a control variable in the systems. The advantages of RSSI include that the relative distance between every two agents can be adjusted through the communication quality under different environments, and it can shun the shortage of the limit of sensors. Simulation studies demonstrate the effectiveness of the proposed control approach.展开更多
Purpose:The 5th Plenary Session of the 19th Communist Party of China(CPC)Central Committee clearly states that developing science and technology through self-reliance and self-strengthening provides the strategic unde...Purpose:The 5th Plenary Session of the 19th Communist Party of China(CPC)Central Committee clearly states that developing science and technology through self-reliance and self-strengthening provides the strategic underpinning for China’s development.Based on this background,this paper explores a metric model for assessing national scientific research strength through collaboration on research papers.Design/methodology/approach:We propose a novel metric model for assessing national scientific research strength,which sets two indicators,national scientific self-reliance(SR)and national academic contribution(CT),to reflect“self-reliance”and“self-strengthening”respectively.Taking the research papers in quantum technology as an example,this study analyzes the scientific research strength of various countries around the world,especially China in quantum technology.Findings:The results show that the research of quantum technology in China has always been relatively independent with fewer international collaboration papers and located in a more marginal position in cooperation networks.China’s academic contribution(CT)to global quantum technology research is increasing and has been greater than that of the United States in 2020.Combining the two indicators,CT and SR,China’s research strength in the quantum field closely follows the United States,and the United States is the most powerful with high research autonomy.Research limitations:This paper only reflects China’s scientific research strength in quantum technology from collaboration on research papers and doesn’t consider the segmentation of quantum technology and the industrial upstream and downstream aspects,which need further study.Practical implications:The model is helpful to better understand the national scientific research strength in a certain field from“self-reliance”and“self-strengthening”.ScienceOriginality/value:We propose a novel metric model to measure the national scientific research strength from the perspective of“self-reliance”and“self-strengthening”,which provides a solid basis for the assessment of the strength level of scientific research in countries/regions and institutions.展开更多
文摘Recently,many regression models have been presented for prediction of mechanical parameters of rocks regarding to rock index properties.Although statistical analysis is a common method for developing regression models,but still selection of suitable transformation of the independent variables in a regression model is diffcult.In this paper,a genetic algorithm(GA)has been employed as a heuristic search method for selection of best transformation of the independent variables(some index properties of rocks)in regression models for prediction of uniaxial compressive strength(UCS)and modulus of elasticity(E).Firstly,multiple linear regression(MLR)analysis was performed on a data set to establish predictive models.Then,two GA models were developed in which root mean squared error(RMSE)was defned as ftness function.Results have shown that GA models are more precise than MLR models and are able to explain the relation between the intrinsic strength/elasticity properties and index properties of rocks by simple formulation and accepted accuracy.
基金supported by the National Basic Research Program of China (973Program) under Grant No. 2010CB731800the National Natural Science Foundation of China under Grant No. 60934003 and 61074065the Key Project for Natural Science Research of Hebei Education Departmentunder Grant No. ZD200908
文摘A novel flocking control approach is proposed for multi-agent systems by integrating the variables of velocities, motion directions, and positions of agents. A received signal strength indicator （RSSI） is applied as a variable to estimate the inter-distance between agents. A key parameter that contains the local information of agents is defined, and a multi-variable controller is proposed based on the parameter. For the position control of agents, the RSSI is introduced to substitute the distance as a control variable in the systems. The advantages of RSSI include that the relative distance between every two agents can be adjusted through the communication quality under different environments, and it can shun the shortage of the limit of sensors. Simulation studies demonstrate the effectiveness of the proposed control approach.
基金supported by National Key R&D Program of China(Grant No.2019YFA0707201)the open fund of ISTIC-Springer Nature Joint Lab for Open Science(Grant No.HX20211292).
文摘Purpose:The 5th Plenary Session of the 19th Communist Party of China(CPC)Central Committee clearly states that developing science and technology through self-reliance and self-strengthening provides the strategic underpinning for China’s development.Based on this background,this paper explores a metric model for assessing national scientific research strength through collaboration on research papers.Design/methodology/approach:We propose a novel metric model for assessing national scientific research strength,which sets two indicators,national scientific self-reliance(SR)and national academic contribution(CT),to reflect“self-reliance”and“self-strengthening”respectively.Taking the research papers in quantum technology as an example,this study analyzes the scientific research strength of various countries around the world,especially China in quantum technology.Findings:The results show that the research of quantum technology in China has always been relatively independent with fewer international collaboration papers and located in a more marginal position in cooperation networks.China’s academic contribution(CT)to global quantum technology research is increasing and has been greater than that of the United States in 2020.Combining the two indicators,CT and SR,China’s research strength in the quantum field closely follows the United States,and the United States is the most powerful with high research autonomy.Research limitations:This paper only reflects China’s scientific research strength in quantum technology from collaboration on research papers and doesn’t consider the segmentation of quantum technology and the industrial upstream and downstream aspects,which need further study.Practical implications:The model is helpful to better understand the national scientific research strength in a certain field from“self-reliance”and“self-strengthening”.ScienceOriginality/value:We propose a novel metric model to measure the national scientific research strength from the perspective of“self-reliance”and“self-strengthening”,which provides a solid basis for the assessment of the strength level of scientific research in countries/regions and institutions.
