针对开源QGIS平台缺少相关专业制图符号无法满足测绘专业领域使用需求的问题,提出了一种基于开源QGIS平台的地图符号设计实现方法,即通过平台自带的样式管理器实现和通过第三方矢量设计工具辅助平台进行符号设计,以满足复杂应用场景下...针对开源QGIS平台缺少相关专业制图符号无法满足测绘专业领域使用需求的问题,提出了一种基于开源QGIS平台的地图符号设计实现方法,即通过平台自带的样式管理器实现和通过第三方矢量设计工具辅助平台进行符号设计,以满足复杂应用场景下地图符号设计应用需要。基于开源QGIS平台的地图符号设计方法可以节约测绘领域企事业单位的运营成本,在商业地理信息系统(Geographic Information System,GIS)平台之外为社会企事业单位提供开源替代解决方案,同时有利于开源GIS平台的推广使用及促进开源事业的发展。展开更多
In this paper,a variety of classical convolutional neural networks are trained on two different datasets using transfer learning method.We demonstrated that the training dataset has a significant impact on the trainin...In this paper,a variety of classical convolutional neural networks are trained on two different datasets using transfer learning method.We demonstrated that the training dataset has a significant impact on the training results,in addition to the optimization achieved through the model structure.However,the lack of open-source agricultural data,combined with the absence of a comprehensive open-source data sharing platform,remains a substantial obstacle.This issue is closely related to the difficulty and high cost of obtaining high-quality agricultural data,the low level of education of most employees,underdeveloped distributed training systems and unsecured data security.To address these challenges,this paper proposes a novel idea of constructing an agricultural data sharing platform based on a federated learning(FL)framework,aiming to overcome the deficiency of high-quality data in agricultural field training.展开更多
In this paper,a support method for business planning and management using software is proposed in order to increase productivity in small and medium-sized industries.Our targets are job shop type production factories,...In this paper,a support method for business planning and management using software is proposed in order to increase productivity in small and medium-sized industries.Our targets are job shop type production factories,which manufacture products that meet specific demands from numerous customers.For these factories to be successful,speedy operational planning and effective management of operations progress for different models in variable quantities are essential.Moreover,effective production and operations management needs to be promoted.Thus,it is necessary to obtain a tool that enables the maximization of throughput using a bird’s-eye view of the entire shop floor and understanding it from the viewpoint of optimization.In our study,planning production and expediting follow-up are conducted using Gantt charts.The system is a simple analog tool that heuristically supports production management through worksite knowledge and experiences without conventional approaches.Furthermore,robotic process automation(RPA)was introduced to reduce the workload of workers.The effectiveness of this prototype system was confirmed by a review of different people in charge.展开更多
Ensuring the general efficacy and benefit for human beings from medical Large Language Models(LLM)before real-world deployment is crucial.However,a widely accepted and accessible evaluation process for medical LLM,esp...Ensuring the general efficacy and benefit for human beings from medical Large Language Models(LLM)before real-world deployment is crucial.However,a widely accepted and accessible evaluation process for medical LLM,especially in the Chinese context,remains to be established.In this work,we introduce“MedBench”,a comprehensive,standardized,and reliable benchmarking system for Chinese medical LLM.First,MedBench assembles the currently largest evaluation dataset(300901 questions)to cover 43 clinical specialties,and performs multi-faceted evaluation on medical LLM.Second,MedBench provides a standardized and fully automatic cloud-based evaluation infrastructure,with physical separations between question and ground truth.Third,MedBench implements dynamic evaluation mechanisms to prevent shortcut learning and answer memorization.Applying MedBench to popular general and medical LLMs,we observe unbiased,reproducible evaluation results largely aligning with medical professionals’perspectives.This study establishes a significant foundation for preparing the practical applications of Chinese medical LLMs.展开更多
文摘针对开源QGIS平台缺少相关专业制图符号无法满足测绘专业领域使用需求的问题,提出了一种基于开源QGIS平台的地图符号设计实现方法,即通过平台自带的样式管理器实现和通过第三方矢量设计工具辅助平台进行符号设计,以满足复杂应用场景下地图符号设计应用需要。基于开源QGIS平台的地图符号设计方法可以节约测绘领域企事业单位的运营成本,在商业地理信息系统(Geographic Information System,GIS)平台之外为社会企事业单位提供开源替代解决方案,同时有利于开源GIS平台的推广使用及促进开源事业的发展。
基金National Key Research and Development Program of China(2021ZD0113704).
文摘In this paper,a variety of classical convolutional neural networks are trained on two different datasets using transfer learning method.We demonstrated that the training dataset has a significant impact on the training results,in addition to the optimization achieved through the model structure.However,the lack of open-source agricultural data,combined with the absence of a comprehensive open-source data sharing platform,remains a substantial obstacle.This issue is closely related to the difficulty and high cost of obtaining high-quality agricultural data,the low level of education of most employees,underdeveloped distributed training systems and unsecured data security.To address these challenges,this paper proposes a novel idea of constructing an agricultural data sharing platform based on a federated learning(FL)framework,aiming to overcome the deficiency of high-quality data in agricultural field training.
文摘In this paper,a support method for business planning and management using software is proposed in order to increase productivity in small and medium-sized industries.Our targets are job shop type production factories,which manufacture products that meet specific demands from numerous customers.For these factories to be successful,speedy operational planning and effective management of operations progress for different models in variable quantities are essential.Moreover,effective production and operations management needs to be promoted.Thus,it is necessary to obtain a tool that enables the maximization of throughput using a bird’s-eye view of the entire shop floor and understanding it from the viewpoint of optimization.In our study,planning production and expediting follow-up are conducted using Gantt charts.The system is a simple analog tool that heuristically supports production management through worksite knowledge and experiences without conventional approaches.Furthermore,robotic process automation(RPA)was introduced to reduce the workload of workers.The effectiveness of this prototype system was confirmed by a review of different people in charge.
基金supported by the National Key R&D Program of China(Nos.2022ZD0160705 and 2022ZD0160704)the Three-year Action Program of Shanghai Municipality for Strengthening the Construction of Public Health System(No.GWVI-11.1-49)the Health Industry National Intelligent Social Governance Experiment Base(Shanghai)——Medical Artificial Intelligence Scenario Application Case Study and Social Experiment Survey,and Shanghai Artificial Intelligence Laboratory.
文摘Ensuring the general efficacy and benefit for human beings from medical Large Language Models(LLM)before real-world deployment is crucial.However,a widely accepted and accessible evaluation process for medical LLM,especially in the Chinese context,remains to be established.In this work,we introduce“MedBench”,a comprehensive,standardized,and reliable benchmarking system for Chinese medical LLM.First,MedBench assembles the currently largest evaluation dataset(300901 questions)to cover 43 clinical specialties,and performs multi-faceted evaluation on medical LLM.Second,MedBench provides a standardized and fully automatic cloud-based evaluation infrastructure,with physical separations between question and ground truth.Third,MedBench implements dynamic evaluation mechanisms to prevent shortcut learning and answer memorization.Applying MedBench to popular general and medical LLMs,we observe unbiased,reproducible evaluation results largely aligning with medical professionals’perspectives.This study establishes a significant foundation for preparing the practical applications of Chinese medical LLMs.
