AN EFFECTIVE MODEL FOR E-GOVERNANCE USING CLOUD COMPUTING- (EGAAS) E-GOVERNANCE AS A SERVICE
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN ENGINEERING AND TECHNOLOGY
Author(s): MANISH KUMAR , KUNWAR SINGH VAISLA
Abstract: The objective of this paper is utilize the cloud computing using the e-Governance and discuss effective use of e-Governance with the help of ICT (Information and Communication Technology). e- Governance helps to the all government department move to cloud using e-governance based cloud. e- Governance is the application of ICT (Information and Communication Technology). e-Governance provide faster way to communicate all government department through the cloud. cloud is the best way to integrate the all department using the e-Governance. e-Governance is the services provided by the government to the citizens that improve the service delivery and save the time. In this paper we discuss a delivery model that integrate the cloud computing facility with the help of e-Governance. There are many e-Governance applications use in cloud. In this paper we integrate all services of e-Governance through the cloud and propose a model for e-Governance application that is use in cloud.
- Publication Date: 25-May-2014
- DOI: 10.15224/978-1-63248-028-6-01-06
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WHITE BLOOD NUCLEUS SEGMENTATION USING AN AUTOMATED THRESHOLDING AND MATHEMATICAL MORPHING
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN ENGINEERING AND TECHNOLOGY
Author(s): H.S. BHADAURIA, , ANJALI GAUTAM , ANNAPURNA SINGH
Abstract: The aim of this paper is to automate the process of detection of leukocytes using image processing techniques such as automatic thresholding and mathematical morphing. We have used the segmentation to detect white blood nucleus. Now a day’s the automatic system is preferred as manual segmentation is very tedious, tardy and sometime prone to error, besides that the medical instruments which are used to detect white blood cells are very costly and may not be exist in all the hospitals and clinics. In automatic process, localization and segmentation of white blood cell are the most important stages. In this research we focus on white blood cell nucleus segmentation in which we firstly applied the mathematical techniques to identify the dark objects in an image like white blood cell and platelets then automatic segmentation on blood smears using the global Ostu thresholding technique which convert the segmented image to binary image and then mathematical morphing is applied on the binary i
- Publication Date: 25-May-2014
- DOI: 10.15224/978-1-63248-028-6-01-07
- Views: 0
- Downloads: 0