In recent years, particle swarm optimization (PSO) has received widespread attention in feature selection due to its simplicity and potential for global search. However, in traditional PSO, particles primarily update ...In recent years, particle swarm optimization (PSO) has received widespread attention in feature selection due to its simplicity and potential for global search. However, in traditional PSO, particles primarily update based on two extreme values: personal best and global best, which limits the diversity of information. Ideally, particles should learn from multiple advantageous particles to enhance interactivity and optimization efficiency. Accordingly, this paper proposes a PSO that simulates the evolutionary dynamics of species survival in mountain peak ecology (PEPSO) for feature selection. Based on the pyramid topology, the algorithm simulates the features of mountain peak ecology in nature and the competitive-cooperative strategies among species. According to the principles of the algorithm, the population is first adaptively divided into many subgroups based on the fitness level of particles. Then, particles within each subgroup are divided into three different types based on their evolutionary levels, employing different adaptive inertia weight rules and dynamic learning mechanisms to define distinct learning modes. Consequently, all particles play their respective roles in promoting the global optimization performance of the algorithm, similar to different species in the ecological pattern of mountain peaks. Experimental validation of the PEPSO performance was conducted on 18 public datasets. The experimental results demonstrate that the PEPSO outperforms other PSO variant-based feature selection methods and mainstream feature selection methods based on intelligent optimization algorithms in terms of overall performance in global search capability, classification accuracy, and reduction of feature space dimensions. Wilcoxon signed-rank test also confirms the excellent performance of the PEPSO.展开更多
This paper focuses on fast algorithm for computing the assignment reduct in inconsistent incomplete decision systems. It is quite inconvenient to judge the assignment reduct directly ac-cording to its definition. We p...This paper focuses on fast algorithm for computing the assignment reduct in inconsistent incomplete decision systems. It is quite inconvenient to judge the assignment reduct directly ac-cording to its definition. We propose the judgment theorem for the assignment reduct in the inconsistent incomplete decision system, which greatly simplifies judging this type reduct. On such basis, we derive a novel attribute significance measure and construct the fast assignment reduction algorithm （F-ARA）, intended for com-puting the assignment reduct in inconsistent incomplete decision systems. Final y, we make a comparison between F-ARA and the discernibility matrix-based method by experiments on 13 Univer-sity of California at Irvine （UCI） datasets, and the experimental results prove that F-ARA is efficient and feasible.展开更多
Current biofuel production relies on limited arable lands on the earth,and is impossible to meet the biofuel demands.Oil producing algae are alternative biofuel feedstock with potential to meet the world’s ambitious ...Current biofuel production relies on limited arable lands on the earth,and is impossible to meet the biofuel demands.Oil producing algae are alternative biofuel feedstock with potential to meet the world’s ambitious goal to replace fossil fuels.This review provides an overview of the biological and engineering aspects in the production and processing technologies and recent advances in research and development in the algae to fuels approach.The article covers biology,selection and genetic modification of algae species and strains,production systems design,culture media and light management,harvest and dewatering,downstream processing,and environment and economic assessment.Despite the many advances made over several decades,commercialization of algal fuels remains challenging chiefly because of the techno-economic constraints.Technological breakthroughs in all major aspects must take place before commercial production of algal fuels becomes economically viable.展开更多
This article reviews the applications of plasma to polymer surface modification and polymer synthesis.Plasma treatment causes changes in morphology,structure and properties of polymers.When polymers are treated using ...This article reviews the applications of plasma to polymer surface modification and polymer synthesis.Plasma treatment causes changes in morphology,structure and properties of polymers.When polymers are treated using plasma,certain monomers with functional groups can be copolymerized with backbone chain or be loaded on the surface,which would help couple reaction of existing polymer chains,graft monomers onto polymers,immobilize proteins,carry antimicrobial drugs,and enhance cell attachment.Hence,non-thermal plasma process creates unique properties on polymers which allow improved and expanded applications of polymers in food packaging and biotechnology.展开更多
In this paper, we first propose a new kind of imprecise information system, in which there exist conjunctions （∧＇s）, disjunctions （∨＇s） or negations （ ＇s）. Second, this paper discusses the relation that onl...In this paper, we first propose a new kind of imprecise information system, in which there exist conjunctions （∧＇s）, disjunctions （∨＇s） or negations （ ＇s）. Second, this paper discusses the relation that only contains ∧＇s based on relational database theory, and gives the syntactic and semantic interpretation for A and the definitions of decomposition and composition and so on. Then, we prove that there exists a kind of decomposition such that if a relation satisfies some property then it can be decomposed into a group of classical relations （relations do not contain ∧） that satisfy a set of functional dependencies and the original relation can be synthesized from this group of classical relations. Meanwhile, this paper proves the soundness theorem and the completeness theorem for this decomposition. Consequently, a relation containing ∧＇s can be equivalently transformed into a group of classical relations that satisfy a set of functional dependencies. Finally, we give the definition that a relation containing ∧＇s satisfies a set of functional dependencies. Therefore, we can introduce other classical relational database theories to discuss this kind of relation.展开更多
Almond production generates millions of tons of residues in addition to almond nuts.Almond residues,including shells,hulls,pruning,leaves,skin and inedible kernel disposition,are good feedstocks for production of bioe...Almond production generates millions of tons of residues in addition to almond nuts.Almond residues,including shells,hulls,pruning,leaves,skin and inedible kernel disposition,are good feedstocks for production of bioenergy and other valuable compounds.In this article,research on the utilization of almond residues as energy and non-energy feedstocks is reviewed.Technical options for converting almond residues to energy and other valuable products are discussed.Several commercial conversion technologies are examined.Needs for further research and development are recommended.展开更多
文摘In recent years, particle swarm optimization (PSO) has received widespread attention in feature selection due to its simplicity and potential for global search. However, in traditional PSO, particles primarily update based on two extreme values: personal best and global best, which limits the diversity of information. Ideally, particles should learn from multiple advantageous particles to enhance interactivity and optimization efficiency. Accordingly, this paper proposes a PSO that simulates the evolutionary dynamics of species survival in mountain peak ecology (PEPSO) for feature selection. Based on the pyramid topology, the algorithm simulates the features of mountain peak ecology in nature and the competitive-cooperative strategies among species. According to the principles of the algorithm, the population is first adaptively divided into many subgroups based on the fitness level of particles. Then, particles within each subgroup are divided into three different types based on their evolutionary levels, employing different adaptive inertia weight rules and dynamic learning mechanisms to define distinct learning modes. Consequently, all particles play their respective roles in promoting the global optimization performance of the algorithm, similar to different species in the ecological pattern of mountain peaks. Experimental validation of the PEPSO performance was conducted on 18 public datasets. The experimental results demonstrate that the PEPSO outperforms other PSO variant-based feature selection methods and mainstream feature selection methods based on intelligent optimization algorithms in terms of overall performance in global search capability, classification accuracy, and reduction of feature space dimensions. Wilcoxon signed-rank test also confirms the excellent performance of the PEPSO.
基金supported by the National Natural Science Foundation of China(61363047)the Jiangxi Education Department(GJJ13760)the Science and Technology Support Foundation of Jiangxi Province(20111BBE50008)
文摘This paper focuses on fast algorithm for computing the assignment reduct in inconsistent incomplete decision systems. It is quite inconvenient to judge the assignment reduct directly ac-cording to its definition. We propose the judgment theorem for the assignment reduct in the inconsistent incomplete decision system, which greatly simplifies judging this type reduct. On such basis, we derive a novel attribute significance measure and construct the fast assignment reduction algorithm （F-ARA）, intended for com-puting the assignment reduct in inconsistent incomplete decision systems. Final y, we make a comparison between F-ARA and the discernibility matrix-based method by experiments on 13 Univer-sity of California at Irvine （UCI） datasets, and the experimental results prove that F-ARA is efficient and feasible.
文摘Current biofuel production relies on limited arable lands on the earth,and is impossible to meet the biofuel demands.Oil producing algae are alternative biofuel feedstock with potential to meet the world’s ambitious goal to replace fossil fuels.This review provides an overview of the biological and engineering aspects in the production and processing technologies and recent advances in research and development in the algae to fuels approach.The article covers biology,selection and genetic modification of algae species and strains,production systems design,culture media and light management,harvest and dewatering,downstream processing,and environment and economic assessment.Despite the many advances made over several decades,commercialization of algal fuels remains challenging chiefly because of the techno-economic constraints.Technological breakthroughs in all major aspects must take place before commercial production of algal fuels becomes economically viable.
基金Beijing Municipal Commission of Education Project(KZ201411417038)High Technology Research and Development Program of China(2012AA021704,2014AA022002)Science and Technology Support Project of China(2014DFA61040).
文摘This article reviews the applications of plasma to polymer surface modification and polymer synthesis.Plasma treatment causes changes in morphology,structure and properties of polymers.When polymers are treated using plasma,certain monomers with functional groups can be copolymerized with backbone chain or be loaded on the surface,which would help couple reaction of existing polymer chains,graft monomers onto polymers,immobilize proteins,carry antimicrobial drugs,and enhance cell attachment.Hence,non-thermal plasma process creates unique properties on polymers which allow improved and expanded applications of polymers in food packaging and biotechnology.
基金Acknowledgements This work was partially supported by the Science and Technology Project of Jiangxi Provincial Department of Education （GJJ 161109, GJJI51126）, the National Natural Science Foundation of China （Grant Nos. 61363047, 61562061）, and the Project of Science and Technology Department of Jiangxi Province （20161BBES0051, 20161BBES0050）.
文摘In this paper, we first propose a new kind of imprecise information system, in which there exist conjunctions （∧＇s）, disjunctions （∨＇s） or negations （ ＇s）. Second, this paper discusses the relation that only contains ∧＇s based on relational database theory, and gives the syntactic and semantic interpretation for A and the definitions of decomposition and composition and so on. Then, we prove that there exists a kind of decomposition such that if a relation satisfies some property then it can be decomposed into a group of classical relations （relations do not contain ∧） that satisfy a set of functional dependencies and the original relation can be synthesized from this group of classical relations. Meanwhile, this paper proves the soundness theorem and the completeness theorem for this decomposition. Consequently, a relation containing ∧＇s can be equivalently transformed into a group of classical relations that satisfy a set of functional dependencies. Finally, we give the definition that a relation containing ∧＇s satisfies a set of functional dependencies. Therefore, we can introduce other classical relational database theories to discuss this kind of relation.
文摘Almond production generates millions of tons of residues in addition to almond nuts.Almond residues,including shells,hulls,pruning,leaves,skin and inedible kernel disposition,are good feedstocks for production of bioenergy and other valuable compounds.In this article,research on the utilization of almond residues as energy and non-energy feedstocks is reviewed.Technical options for converting almond residues to energy and other valuable products are discussed.Several commercial conversion technologies are examined.Needs for further research and development are recommended.
