Andrew Wangota,a 48-year-old Ugandan farmer,has been using agrivoltaics technology,a solar technology that uses agricultural land for both food production and solar power generation,on his farm in Bunashimolo Parish,B...Andrew Wangota,a 48-year-old Ugandan farmer,has been using agrivoltaics technology,a solar technology that uses agricultural land for both food production and solar power generation,on his farm in Bunashimolo Parish,Bukyiende Subcounty in Uganda where he has been cultivating plantain,coffee and Irish potatoes for the past 16 years.展开更多
A sparse approximation algorithm based on projection is presented in this paper in order to overcome the limitation of the non-sparsity of least squares support vector machines （LS-SVM）. The new inputs are projected...A sparse approximation algorithm based on projection is presented in this paper in order to overcome the limitation of the non-sparsity of least squares support vector machines （LS-SVM）. The new inputs are projected into the subspace spanned by previous basis vectors （BV） and those inputs whose squared distance from the subspace is higher than a threshold are added in the BV set, while others are rejected. This consequently results in the sparse approximation. In addition, a recursive approach to deleting an exiting vector in the BV set is proposed. Then the online LS-SVM, sparse approximation and BV removal are combined to produce the sparse online LS-SVM algorithm that can control the size of memory irrespective of the processed data size. The suggested algorithm is applied in the online modeling of a pH neutralizing process and the isomerization plant of a refinery, respectively. The detailed comparison of computing time and precision is also given between the suggested algorithm and the nonsparse one. The results show that the proposed algorithm greatly improves the sparsity just with little cost of precision.展开更多
Based on analysis of the supporting object of bulking soft rock and comparing the supporting difficulty of the repairing projects with that of the newly excavated projects, this paper proposes a method to determine re...Based on analysis of the supporting object of bulking soft rock and comparing the supporting difficulty of the repairing projects with that of the newly excavated projects, this paper proposes a method to determine reasonable supporting parameters for soft rock project repairing. This method has been verified to be reasonable and economical in an industrial test.展开更多
The rapid development of China’s economic construction following the opening to the outside world calls for more foreign funds. Undertaking the task to raise funds abroad for many years, the Bank of China (BOC) has f...The rapid development of China’s economic construction following the opening to the outside world calls for more foreign funds. Undertaking the task to raise funds abroad for many years, the Bank of China (BOC) has furnished substantial foreign funds for a large number of key state projects. Since 1993 the BOC has issued bonds in Tokyo on three occasions, totalling Japanese yen 45 billion. It reentered the European capital展开更多
Checked by Henan Province Development and Relbrm Commission and Henan Province MunicipalFinance （）ffice, the “R ＆ I） and Industrialization of High Performance Functional Refractories for Metallurgy New Technology...Checked by Henan Province Development and Relbrm Commission and Henan Province MunicipalFinance （）ffice, the “R ＆ I） and Industrialization of High Performance Functional Refractories for Metallurgy New Technology” project declared by 1,1RR gained a special fund support on self-renovation and products structure adjustment. The project will realize the technology integration and industriali-zation of key refractories including purging component, metering nozzle and toil and belt continuous casting nozzle, etc. through building high performance functional refractories production lines for metallurgy new technology.展开更多
Development of the global economy makes modem enterprises confront challenges of efficient managements for large projects and complex processes. Projects are typically managed in rather special manners. On the contrar...Development of the global economy makes modem enterprises confront challenges of efficient managements for large projects and complex processes. Projects are typically managed in rather special manners. On the contrary, there exist many methodologies for product process management to achieve consistency and continuance. However, processes often lack flexibility offered by projects. This paper dis~ the relationship of conceptual characteristics between process and project, gives low-level details to tackle the difference between them, and proposes an enterprise process modeling method for project management. An integrated environment is designed to support the method from which both project management and process management can receive benefits and conform to the limitations.展开更多
Based on the features of the non-standard equipment executing work, a project management and decision support system oriented to the non-standard equipment is developed, and the information model, function model as we...Based on the features of the non-standard equipment executing work, a project management and decision support system oriented to the non-standard equipment is developed, and the information model, function model as well as the structure framework of the system are also introduced in this paper.展开更多
Least squares projection twin support vector machine(LSPTSVM)has faster computing speed than classical least squares support vector machine(LSSVM).However,LSPTSVM is sensitive to outliers and its solution lacks sparsi...Least squares projection twin support vector machine(LSPTSVM)has faster computing speed than classical least squares support vector machine(LSSVM).However,LSPTSVM is sensitive to outliers and its solution lacks sparsity.Therefore,it is difficult for LSPTSVM to process large-scale datasets with outliers.In this paper,we propose a robust LSPTSVM model(called R-LSPTSVM)by applying truncated least squares loss function.The robustness of R-LSPTSVM is proved from a weighted perspective.Furthermore,we obtain the sparse solution of R-LSPTSVM by using the pivoting Cholesky factorization method in primal space.Finally,the sparse R-LSPTSVM algorithm(SR-LSPTSVM)is proposed.Experimental results show that SR-LSPTSVM is insensitive to outliers and can deal with large-scale datasets fastly.展开更多
To financially evaluate an IT projects is to assess its financial feasibility, while the financial benefits are the core parameters of financial evaluation of IT projects. Therefore, correctly identifying the financia...To financially evaluate an IT projects is to assess its financial feasibility, while the financial benefits are the core parameters of financial evaluation of IT projects. Therefore, correctly identifying the financial benefits of IT projects is the precondition to ensure the validity of the financial evaluation. Essentially, IT projects can be divided into productive IT projects and supportive IT projects. The paper analyzes the importance of identifying the financial benefits and introduces the meaning, characteristics and classification of financial benefits of IT projects. On this basis, the paper identifies the financial benefits of both productive IT projects and supportive IT projects and emphasizes the formation and specific calculation method of the two types of IT projects. For productive IT projects and supportive IT projects, the calculation of financial benefits should employ different methods.展开更多
在人工智能驱动科学研究(AI for Science)的趋势下,农业领域也逐步加快人工智能技术的应用部署。基于BERTopic主题建模技术对农业人工智能基金资助项目进行主题挖掘,识别出9个核心主题,并进一步分析了各主题热度与国家间主题的差异,旨...在人工智能驱动科学研究(AI for Science)的趋势下,农业领域也逐步加快人工智能技术的应用部署。基于BERTopic主题建模技术对农业人工智能基金资助项目进行主题挖掘,识别出9个核心主题,并进一步分析了各主题热度与国家间主题的差异,旨在为科研人员提供农业人工智能的领域态势图谱,为政策制定者优化战略布局提供参考依据。研究发现:科技创新与生产需求双重驱动农业人工智能应用部署;农业人工智能项目呈现出分散化、多元多层次特点;国家间的主题差异由多重因素综合作用所致。未来应加强技术与实际需求的结合,推动跨学科合作与国际交流,构建开放、包容的全球农业人工智能创新生态。展开更多
This paper discusses the Project's organization system, technical system, creation of digital resources and service mode. It also summarizes achievements gained since the commencement of the Project, and also anal...This paper discusses the Project's organization system, technical system, creation of digital resources and service mode. It also summarizes achievements gained since the commencement of the Project, and also analyzes some of the more important issues during implementation stage and gives a few suggestions of the future development during the next stage of the 11thFive-Year Plan.展开更多
The manuscript presents an augmented Lagrangian—fast projected gradient method (ALFPGM) with an improved scheme of working set selection, pWSS, a decomposition based algorithm for training support vector classificati...The manuscript presents an augmented Lagrangian—fast projected gradient method (ALFPGM) with an improved scheme of working set selection, pWSS, a decomposition based algorithm for training support vector classification machines (SVM). The manuscript describes the ALFPGM algorithm, provides numerical results for training SVM on large data sets, and compares the training times of ALFPGM and Sequential Minimal Minimization algorithms (SMO) from Scikit-learn library. The numerical results demonstrate that ALFPGM with the improved working selection scheme is capable of training SVM with tens of thousands of training examples in a fraction of the training time of some widely adopted SVM tools.展开更多
文摘Andrew Wangota,a 48-year-old Ugandan farmer,has been using agrivoltaics technology,a solar technology that uses agricultural land for both food production and solar power generation,on his farm in Bunashimolo Parish,Bukyiende Subcounty in Uganda where he has been cultivating plantain,coffee and Irish potatoes for the past 16 years.
基金supported by the National Creative Research Groups Science Foundation of China (NCRGSFC:60721062)National Basic Research Program of China (973 Program) (No.2007CB714000)
文摘A sparse approximation algorithm based on projection is presented in this paper in order to overcome the limitation of the non-sparsity of least squares support vector machines （LS-SVM）. The new inputs are projected into the subspace spanned by previous basis vectors （BV） and those inputs whose squared distance from the subspace is higher than a threshold are added in the BV set, while others are rejected. This consequently results in the sparse approximation. In addition, a recursive approach to deleting an exiting vector in the BV set is proposed. Then the online LS-SVM, sparse approximation and BV removal are combined to produce the sparse online LS-SVM algorithm that can control the size of memory irrespective of the processed data size. The suggested algorithm is applied in the online modeling of a pH neutralizing process and the isomerization plant of a refinery, respectively. The detailed comparison of computing time and precision is also given between the suggested algorithm and the nonsparse one. The results show that the proposed algorithm greatly improves the sparsity just with little cost of precision.
文摘Based on analysis of the supporting object of bulking soft rock and comparing the supporting difficulty of the repairing projects with that of the newly excavated projects, this paper proposes a method to determine reasonable supporting parameters for soft rock project repairing. This method has been verified to be reasonable and economical in an industrial test.
文摘The rapid development of China’s economic construction following the opening to the outside world calls for more foreign funds. Undertaking the task to raise funds abroad for many years, the Bank of China (BOC) has furnished substantial foreign funds for a large number of key state projects. Since 1993 the BOC has issued bonds in Tokyo on three occasions, totalling Japanese yen 45 billion. It reentered the European capital
文摘Checked by Henan Province Development and Relbrm Commission and Henan Province MunicipalFinance （）ffice, the “R ＆ I） and Industrialization of High Performance Functional Refractories for Metallurgy New Technology” project declared by 1,1RR gained a special fund support on self-renovation and products structure adjustment. The project will realize the technology integration and industriali-zation of key refractories including purging component, metering nozzle and toil and belt continuous casting nozzle, etc. through building high performance functional refractories production lines for metallurgy new technology.
基金Project supported by Aviation Basic Science Fundation( GrantNo .00F51058)
文摘Development of the global economy makes modem enterprises confront challenges of efficient managements for large projects and complex processes. Projects are typically managed in rather special manners. On the contrary, there exist many methodologies for product process management to achieve consistency and continuance. However, processes often lack flexibility offered by projects. This paper dis~ the relationship of conceptual characteristics between process and project, gives low-level details to tackle the difference between them, and proposes an enterprise process modeling method for project management. An integrated environment is designed to support the method from which both project management and process management can receive benefits and conform to the limitations.
文摘Based on the features of the non-standard equipment executing work, a project management and decision support system oriented to the non-standard equipment is developed, and the information model, function model as well as the structure framework of the system are also introduced in this paper.
基金supported by the National Natural Science Foundation of China(6177202062202433+4 种基金621723716227242262036010)the Natural Science Foundation of Henan Province(22100002)the Postdoctoral Research Grant in Henan Province(202103111)。
文摘Least squares projection twin support vector machine(LSPTSVM)has faster computing speed than classical least squares support vector machine(LSSVM).However,LSPTSVM is sensitive to outliers and its solution lacks sparsity.Therefore,it is difficult for LSPTSVM to process large-scale datasets with outliers.In this paper,we propose a robust LSPTSVM model(called R-LSPTSVM)by applying truncated least squares loss function.The robustness of R-LSPTSVM is proved from a weighted perspective.Furthermore,we obtain the sparse solution of R-LSPTSVM by using the pivoting Cholesky factorization method in primal space.Finally,the sparse R-LSPTSVM algorithm(SR-LSPTSVM)is proposed.Experimental results show that SR-LSPTSVM is insensitive to outliers and can deal with large-scale datasets fastly.
文摘To financially evaluate an IT projects is to assess its financial feasibility, while the financial benefits are the core parameters of financial evaluation of IT projects. Therefore, correctly identifying the financial benefits of IT projects is the precondition to ensure the validity of the financial evaluation. Essentially, IT projects can be divided into productive IT projects and supportive IT projects. The paper analyzes the importance of identifying the financial benefits and introduces the meaning, characteristics and classification of financial benefits of IT projects. On this basis, the paper identifies the financial benefits of both productive IT projects and supportive IT projects and emphasizes the formation and specific calculation method of the two types of IT projects. For productive IT projects and supportive IT projects, the calculation of financial benefits should employ different methods.
文摘在人工智能驱动科学研究(AI for Science)的趋势下,农业领域也逐步加快人工智能技术的应用部署。基于BERTopic主题建模技术对农业人工智能基金资助项目进行主题挖掘,识别出9个核心主题,并进一步分析了各主题热度与国家间主题的差异,旨在为科研人员提供农业人工智能的领域态势图谱,为政策制定者优化战略布局提供参考依据。研究发现:科技创新与生产需求双重驱动农业人工智能应用部署;农业人工智能项目呈现出分散化、多元多层次特点;国家间的主题差异由多重因素综合作用所致。未来应加强技术与实际需求的结合,推动跨学科合作与国际交流,构建开放、包容的全球农业人工智能创新生态。
文摘This paper discusses the Project's organization system, technical system, creation of digital resources and service mode. It also summarizes achievements gained since the commencement of the Project, and also analyzes some of the more important issues during implementation stage and gives a few suggestions of the future development during the next stage of the 11thFive-Year Plan.
文摘The manuscript presents an augmented Lagrangian—fast projected gradient method (ALFPGM) with an improved scheme of working set selection, pWSS, a decomposition based algorithm for training support vector classification machines (SVM). The manuscript describes the ALFPGM algorithm, provides numerical results for training SVM on large data sets, and compares the training times of ALFPGM and Sequential Minimal Minimization algorithms (SMO) from Scikit-learn library. The numerical results demonstrate that ALFPGM with the improved working selection scheme is capable of training SVM with tens of thousands of training examples in a fraction of the training time of some widely adopted SVM tools.
