An efficient transaction processing method on the distributed database

Sun, Qiao; Fu, Lan-Mei; Deng, Buqiao; Sun, Jiasong

doi:10.1109/cisp-bmei.2016.7853031

Cited by 5 publications

(2 citation statements)

References 7 publications

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“…Secondly, a bicubic interpolation algorithm along the axial direction was applied to generate isotropic scans in order to solve the problem of anisotropic 3D spatial resolution CT scanning. Then, the semi-automatic segmentation method was used to segment the tumor, and different segmentation schemes were adopted for tumors with different types: (1) For the solitary tumors, the gray threshold segmentation algorithm and three-dimensional region growing algorithm were used to segment; (2) For the pleural tumors, the edge of lung area was repaired based on concave hulls algorithm (Soltaninejad et al 2016) and chain code algorithm (Sun and Wang 2016). On the basis of a complete repair of lung boundary, the same segmentation method as solitary pulmonary tumor segmentation method was used; (3) For the vascular tumors, the above-described solitary pulmonary tumor segmentation method is used for coarse segmentation at first.…”

Section: Tumor Segmentationmentioning

confidence: 99%

A prognostic analysis method for non-small cell lung cancer based on the computed tomography radiomics

Wang

Duan

et al. 2020

Phys. Med. Biol.

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In order to assist doctors in arranging the postoperative treatments and re-examinations for non-small cell lung cancer (NSCLC) patients, this study was initiated to explore a prognostic analysis method for NSCLC based on computed tomography (CT) radiomics. The data of 173 NSCLC patients were collected retrospectively and the clinically meaningful 3-year survival was used as the predictive limit to predict the patient’s prognosis survival time range. Firstly, lung tumors were segmented and the radiomics features were extracted. Secondly, the feature weighting algorithm was used to screen and optimize the extracted original feature data. Then, the selected feature data combining with the prognosis survival of patients were used to train machine learning classification models. Finally, a prognostic survival prediction model and radiomics prognostic factors were obtained to predict the prognosis survival time range of NSCLC patients. The classification accuracy rate under cross-validation was up to 88.7% in the prognosis survival analysis model. When verifying on an independent data set, the model also yielded a high prediction accuracy which is up to 79.6%. Inverse different moment, lobulation sign and angular second moment were NSCLC prognostic factors based on radiomics. This study proved that CT radiomics features could effectively assist doctors to make more accurate prognosis survival prediction for NSCLC patients, so as to help doctors to optimize treatment and re-examination for NSCLC patients to extend their survival time.

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Section: Tumor Segmentationmentioning

confidence: 99%

A prognostic analysis method for non-small cell lung cancer based on the computed tomography radiomics

Wang

Duan

et al. 2020

Phys. Med. Biol.

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“…The experimental results solve the good way of issue in distributed GIS. Qiao Sun, Lan-mei Fu, Bu-qiao Deng [9] explained challenges of transaction in heterogeneous environment. Every sub transaction need to local and global manager.…”

Section: Related Workmentioning

confidence: 99%

Key agreement based secure Kerberos authentication protocol (KASKAP) for distributed database access in secured manner

Natarajan¹,

Manimegalai²

2018

IJET

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Distributed database is a collection of multiple databases that can be stored at different network sites. It acts as an important role in today's world intended for storing and retrieving huge data. The implementation of distributed database advantages such as data replication, low operating costs, faster data transaction and data processing, but security is still a significant problem. In this paper make clear to explain security issues of distributed database and give the suggestion to improve security of distributed database. Subsequently, secured distributed database design in light of trusted node is proposed. The design contains a unique node in a system called a trusted node for each site through which every single other node will get to the database. Trusted node process client demands, joins the outcomes from concerned distributed databases and forward it to the confirmed client. The system adjusted by the trusted nodes keeping in mind the end goal to give authentication is Key Agreement based Secure Kerberos Authentication Protocol (KASKAP). Hence authenticated users can only access the database.

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