This paper introduces a new enhanced Arabic stemming algorithm for solving the information retrieval problem,especially in medical documents.Our proposed algorithm is a light stemming algorithm for extracting stems an...This paper introduces a new enhanced Arabic stemming algorithm for solving the information retrieval problem,especially in medical documents.Our proposed algorithm is a light stemming algorithm for extracting stems and roots from the input data.One of the main challenges facing the light stemming algorithm is cutting off the input word,to extract the initial segments.When initiating the light stemmer with strong initial segments,the final extracting stems and roots will be more accurate.Therefore,a new enhanced segmentation based on deploying the Direct Acyclic Graph(DAG)model is utilized.In addition to extracting the powerful initial segments,the main two procedures(i.e.,stems and roots extraction),should be also reinforced with more efficient operators to improve the final outputs.To validate the proposed enhanced stemmer,four data sets are used.The achieved stems and roots resulted from our proposed light stemmer are compared with the results obtained from five other well-known Arabic light stemmers using the same data sets.This evaluation process proved that the proposed enhanced stemmer outperformed other comparative stemmers.展开更多
The design and implementation of an online guide system were presented for patients.The system offers a website that makes it easier for patients,or any ordinary visitor to diagnose their disease by simply uploading t...The design and implementation of an online guide system were presented for patients.The system offers a website that makes it easier for patients,or any ordinary visitor to diagnose their disease by simply uploading their MRI image,the website also assists the patient in determining the doctor they need to see,and finding the nearest hospital or blood bank.To build the website,SQL Server,MAT-LAB,and Adobe Dreamweaver were utilized.The rapid increase in digital images produced in hospitals us-ing medical imaging techniques such as X-Ray,CT scans,MRI,and ultrasound has increased the demand for efficient image retrieval systems.Personal description,and annotation of each image in a large database using text-based indexing(also known as the Metadata approach)is time-consuming,and impractical,making Content-based Image Retrieval(CBIR)a better option.CBIR system proposed returns results based on visual features of the image,such as color,texture,and shape.展开更多
This paper introduces a heterogeneous distributed database system called LSZ system, where LSZ is an abbreviation of Li Shizhen, an ancient Chinese medical scientist. LSZ system adopts cluster as distributed database ...This paper introduces a heterogeneous distributed database system called LSZ system, where LSZ is an abbreviation of Li Shizhen, an ancient Chinese medical scientist. LSZ system adopts cluster as distributed database node (or site). Each cluster consists of one or several microcomputers and one server. The paper describes its basic architecture and the prototype implementation, which includes query processing and optimization, transaction manager and data language translation. The system provides a uniform retrieve and update user interface through global relational data language GRDL.展开更多
文摘This paper introduces a new enhanced Arabic stemming algorithm for solving the information retrieval problem,especially in medical documents.Our proposed algorithm is a light stemming algorithm for extracting stems and roots from the input data.One of the main challenges facing the light stemming algorithm is cutting off the input word,to extract the initial segments.When initiating the light stemmer with strong initial segments,the final extracting stems and roots will be more accurate.Therefore,a new enhanced segmentation based on deploying the Direct Acyclic Graph(DAG)model is utilized.In addition to extracting the powerful initial segments,the main two procedures(i.e.,stems and roots extraction),should be also reinforced with more efficient operators to improve the final outputs.To validate the proposed enhanced stemmer,four data sets are used.The achieved stems and roots resulted from our proposed light stemmer are compared with the results obtained from five other well-known Arabic light stemmers using the same data sets.This evaluation process proved that the proposed enhanced stemmer outperformed other comparative stemmers.
基金Supported by the Natural Science Foundation of Tianjin(21JCZDJC00340)。
文摘The design and implementation of an online guide system were presented for patients.The system offers a website that makes it easier for patients,or any ordinary visitor to diagnose their disease by simply uploading their MRI image,the website also assists the patient in determining the doctor they need to see,and finding the nearest hospital or blood bank.To build the website,SQL Server,MAT-LAB,and Adobe Dreamweaver were utilized.The rapid increase in digital images produced in hospitals us-ing medical imaging techniques such as X-Ray,CT scans,MRI,and ultrasound has increased the demand for efficient image retrieval systems.Personal description,and annotation of each image in a large database using text-based indexing(also known as the Metadata approach)is time-consuming,and impractical,making Content-based Image Retrieval(CBIR)a better option.CBIR system proposed returns results based on visual features of the image,such as color,texture,and shape.
基金This research is supported by National Natural Science Foundation under Grant 6863051
文摘This paper introduces a heterogeneous distributed database system called LSZ system, where LSZ is an abbreviation of Li Shizhen, an ancient Chinese medical scientist. LSZ system adopts cluster as distributed database node (or site). Each cluster consists of one or several microcomputers and one server. The paper describes its basic architecture and the prototype implementation, which includes query processing and optimization, transaction manager and data language translation. The system provides a uniform retrieve and update user interface through global relational data language GRDL.
