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L. Manjunatha Rao
Dr. Ambedkar Institute of Technology
Computer Science & IT Electrical & Electronics Engineering

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A Novel Intelligence-based e-Procurement System to offer Maximum Fairness Index in Ongoing Auction Process N. Madhusudan; L. Manjunatha Rao
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 6: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (557.354 KB) | DOI: 10.11591/ijece.v8i6.pp4438-4447

Abstract

A perfect auction policy is one of the most strategic elements that contribute to success factor for any e-Procurement system. An auction policy can be only term as an effective if it really offer win-win situation to both the bidder as well as to the merchant. After reviewing existing studies on e-Procurement system, it is found that there isno effective research work focusing on this point and maximum research contribution has limited its scope to certain application or case studis. Hence, the proposed system introduces a novel e-Procurement system which is equipped by an itelligence-building process for performing predictive analysis of ongoing auction process. A mathematical modelling is implemented where all teh variables have been formed using practical implementation of auction system and followed by optimization process using regression-based approach. The study outcome shows that proposed system offers better response time and higher predictive accuracy in contrast to existing approaches.
Modelling of E-Governance Framework for Mining Knowledge from Massive Grievance Redressal Data Sangeetha G; L. Manjunatha Rao
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 1: February 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (362.174 KB) | DOI: 10.11591/ijece.v6i1.pp367-374

Abstract

With the massive proliferation of online applications for the citizens with abundant resources, there is a tremendous hike in usage of e-governance platforms. Right from entrepreneur, players, politicians, students, or anyone who are highly depending on web-based grievance redressal networking sites, which generates loads of massive grievance data that are not only challenging but also highly impossible to understand. The prime reason behind this is grievance data is massive in size and they are highly unstructured. Because of this fact, the proposed system attempts to understand the possibility of performing knowledge discovery process from grievance Data using conventional data mining algorithms. Designed in Java considering massive number of online e-governance framework from civilian’s grievance discussion forums, the proposed system evaluates the effectiveness of performing datamining for Big data.
CCCORE: Cloud Container for Collaborative Research Salini Suresh; L. Manjunatha Rao
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (574.488 KB) | DOI: 10.11591/ijece.v8i3.pp1659-1670

Abstract

Cloud-based research collaboration platforms render scalable, secure and inventive environments that enabled academic and scientific researchers to share research data, applications and provide access to high- performance computing resources. Dynamic allocation of resources according to the unpredictable needs of applications used by researchers is a key challenge in collaborative research environments. We propose the design of Cloud Container based Collaborative Research (CCCORE) framework to address dynamic resource provisioning according to the variable workload of compute and data-intensive applications or analysis tools used by researchers. Our proposed approach relies on–demand, customized containerization and comprehensive assessment of resource requirements to achieve optimal resource allocation in a dynamic collaborative research environment. We propose algorithms for dynamic resource allocation problem in a collaborative research environment, which aim to minimize finish time, improve throughput and achieve optimal resource utilization by employing the underutilized residual resources.
Insights on Extent of Effectiveness, Trend, and Gap in Existing Frameworks for e-Procurement System N Madhusudan; L. Manjunatha Rao
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 2: April 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (199.553 KB) | DOI: 10.11591/ijece.v6i2.pp751-758

Abstract

With the advancement of technologies, the organization and business applications are witnessed with the increasing trends to adopt cut edge technologies to normalize their business process.  However, this trend was not observed much on the e-Procurement system, where the existing users still place the purchase order using conventional web-based approach that cannot address various ongoing challenges in eProcurement system. This paper attempts to review the existing trends and challenges of web-based eProcurement system and discusses that with the adoption of cloud computing as present trend, such ongoing issues of eProcurement can be addressed. The paper discusses the effectiveness of the existing techniques with interpretation of research gap.
Co-Authors N Madhusudan N. Madhusudan Salini Suresh Sangeetha G