数据处理语言的数据流模型

一、为什么是数据流模型在受控核聚变实验中,有大量实验数据需采集和处理。目前,由VAX-11/750计算机上运行的DAS软件系统完成数据采集,同时将生数据(或称原始数据)实时图形显示并存储之。

多字符集与数据处理语言

本文就适合于商业及数据处理的语言的主要特点来讨论多字符集处理等有关问题。

QP语言简介

QP语言是按照国内外数据处理的模式，结合我国现行数据处理情况而设计的，属国内首创的大型软件，本文主要介绍本软件的系统结构，数据文件形式，功能特点，运行环境等。

局域网综合话音/数据协议研究

本文对适用于总线网络的两种局域网综合话音/数据协议(Maxemchuk协议,CS-MA/CD-Token协议)的吞吐量及话音分组时延性能进行了理论及计算机仿真研究.该研究成果对综合业务局域网设计具有实用参考价值.

IDL在分布式GIS系统中的应用研究

以新型的面向图形对象、基于矩阵的交互式数据处理语言(IDL),与空间数据引擎(SDE)结合来构建分布式GIS应用,既发挥了IDL在空间数据处理、三维显示方面的长处,又利用了SDE在空间数据管理方面良好的性能及安全性,同时避免了在购买专业GIS开发组件许可证上的巨额投入,在性能和开发成本之间做到了合适的平衡,是一种经济可行的应用方案。

人机交互式的汉语辞书编纂系统

人机交互式的汉语辞书编纂系统是一个计算机网络应用系统,在互联网上为汉语语文辞书的编纂提供协同工作环境。这个系统以语言数据资源的建设和应用为基础,借鉴语言信息处理的相关研究成果,融入汉语语文辞书编纂的知识和经验,用人机交互方式管理词典编纂的工作流程,包括新编词典立项、词条结构设置、选词立目、词条编写修改和审定、词条编审历程的保留与追溯、辅助词典成书等,同时也集成了多个语料库、已有辞书和词表,提供给词典编者作为参考。文章简要论述这个系统的设计思想、主要功能和关键技术。

语音信号采集的时间扩展与截取

介绍了改进的模型块化的语音信号采集系统,并分析了该系统对采样时间的扩展及采样信号的截取。

Traditional Chinese medicine Master XIONG Jibo’s medication experience in treating arthralgia syndrome through data mining

Objective This study aimed to examine and propagate the medication experience and group formula of traditional Chinese medicine(TCM)Master XIONG Jibo in diagnosing and treat-ing arthralgia syndrome(AS)through data mining.Methods Data of outpatient cases of Professor XIONG Jibo were collected from January 1,2014 to December 31,2018,along with cases recorded in A Real Famous Traditional Chinese Medicine Doctor:XIONG Jibo's Clinical Medical Record 1,which was published in December 2019.The five variables collected from the patients’data were TCM diagnostic information,TCM and western medicine diagnoses,syndrome,treatment,and prescription.A database was established for the collected data with Excel.Using the Python environment,a custom-ized modified natural language processing(NLP)model for the diagnosis and treatment of AS by Professor XIONG Jibo was established to preprocess the data and to analyze the word cloud.Frequency analysis,association rule analysis,cluster analysis,and visual analysis of AS cases were performed based on the Traditional Chinese Medicine Inheritance Computing Platform(V3.0)and RStudio(V4.0.3).Results A total of 610 medical records of Professor XIONG Jibo were collected from the case database.A total of 103 medical records were included after data screening criteria,which comprised 187 times(45 kinds)of prescriptions and 1506 times(125 kinds)of Chinese herbs.The main related meridians were the liver,spleen,and kidney meridians.The properties of Chinese herbs used most were mainly warm,flat,and cold,while the flavors of herbs were mainly bitter,pungent,and sweet.The main patterns of AS included the damp heat,phlegm stasis,and neck arthralgia.The most commonly used herbs for AS were Chuanniuxi(Cyathu-lae Radix),Huangbo(Phellodendri Chinensis Cortex),Cangzhu(Atractylodis Rhizoma),Qinjiao(Gentianae Macrophyllae Radix),Gancao(Glycyrrhizae Radix et Rhizoma),Huangqi(Astragali Radix),and Chuanxiong(Chuanxiong Rhizoma).The most common effect of the herbs was“promoting blood circulation and removing blood stasis”,followed by“supple-menting deficiency(Qi supplementing,blood supplementing,and Yang supplementing)”,and“dispelling wind and dampness”.The data were analyzed with the support≥15%and con-fidence=100%,and after de-duplication,five second-order association rules,39 third-order association rules,39 fourth-order association rules,and two fifth-order association rules were identified.The top-ranking association rules of each were“Cangzhu(Atractylodis Rhizoma)→Huangbo(Phellodendri Chinensis Cortex)”“Cangzhu(Atractylodis Rhizoma)+Chuanniuxi(Cyathulae Radix)→Huangbo(Phellodendri Chinensis Cortex)”“Chuanniuxi(Cyathulae Radix)+Danggui(Angelicae Sinensis Radix)+Gancao(Glycyrrhizae Radix et Rhizoma)→Qinjiao(Gentianae Macrophyllae Radix)”and“Chuanniuxi(Cyathulae Radix)+Danggui(Angelicae Sinensis Radix)+Gancao(Glycyrrhizae Radix et Rhizoma)+Huangbo(Phello-dendri Chinensis Cortex)→Qinjiao(Gentianae Macrophyllae Radix)”,respectively.Five clusters were obtained using cluster analysis of the top 30 herbs.The herbs were mainly dry-ing dampness,supplementing Qi,and promoting blood circulation.The main prescriptions of AS were Ermiao San(二妙散),Gegen Jianghuang San(葛根姜黄散),and Huangqi Chongteng Yin(黄芪虫藤饮).The herbs of core prescription included Cangzhu(Atractylodis Rhizoma),Chuanniuxi(Cyathulae Radix),Gancao(Glycyrrhizae Radix et Rhizoma),Huangbo(Phellodendri Chinensis Cortex),Mugua(Chaenomelis Fructus),Qinjiao(Gentianae Macro-phyllae Radix),Danggui(Angelicae Sinensis Radix),and Yiyiren(Coicis Semen).Conclusion Clearing heat and dampness,relieving collaterals and pain,and invigorating Qi and blood are the most commonly used therapies for the treatment of AS by Professor XIONG Jibo.Additionally,customized NLP model could improve the efficiency of data mining in TCM.

Research on the Automatic Pattem Abstraction and Recognition Methodology for Large-scale Database System based on Natural Language Processing

In this research paper, we research on the automatic pattern abstraction and recognition method for large-scale database system based on natural language processing. In distributed database, through the network connection between nodes, data across different nodes and even regional distribution are well recognized. In order to reduce data redundancy and model design of the database will usually contain a lot of forms we combine the NLP theory to optimize the traditional method. The experimental analysis and simulation proves the correctness of our method.

Spatial Data Process Using Python Script and Visual Programming Language in ArcGIS

Data are limitless. But those are usually not formed or created in our needs. Most of data providers deliver their data in Microsoft Excel spreadsheet, which is compatible with ArcGIS, the most widely used GIS （Geographic Information System） software in GIS sector. However, those table data contain much unnecessary information that do not need for a certain project. Using the raw data can increase processing times and reduce performance of geoprocessing tools. This study shows steps of how the raw data are being processed using ArcGIS ModelBuilder and Python script.

The Role of EQ in EFL Students＇ Foreign Language Learning

EQ （Emotional Quotient） is considered a key component in foreign language learning. This study examined the relationship between EFL （English as a Foreign Language） students＇ EQ and learning strategies, English proficiency with EIS （Emotinal Intelligence Scale） and Strategy Inventory for Language Learning as well as students＇ tests in English listening, speaking, reading, and writing. Pearson correlation and regression analysis were applied in the data processing. The subsequent data analysis reveals that there is significant relationship between EFL students＇ EQ and their learning strategies as well as English proficiency. The correlation between EQ and affective strategies and the correlation between EQ and English speaking proficiency are higher than others. The factors which contribute to the correlation are analyzed. Furthermore, it is suggested for EFL teachers to take measures to facilitate students＇ EQ in classroom teaching

汉语辞书辅助编纂系统的功能设计

汉语辞书辅助编纂系统是一个正在开发的计算机应用软件,用于汉语语文辞书的编纂。目的是改变以往全部由手工操作的工作方式,提高词典编纂的质量、效率和科学性。本文简要介绍这个系统的几项功能:用XML Schema支持下的辞书结构模型描述多部语文辞书的文本结构;根据新编词典的需要定制词典的词条结构;有选择地复制词条内容;保留词条编写和修改的记录,并根据需要追溯词条的编写过程;在词典编写过程中积累词汇资料数据;词条内容的规范表达;编纂系统的数据统计;以及词典编纂资料的收集。