Anju Mishra

Empirical Study of Agile Software Development Methodologies: A Comparative Analysis

In todays software industry, technological prowess and ever-evolving customer requirements have led to more complex software demands. Agile based software development is increasingly being adopted by the software practitioners as it assures early software development and high quality software products. Also, it offers responsiveness to changes in user requirements, providing for their quick absorption during software development. In this paper, we elaborate the significance, benefits and increasing adoption of Agile methodologies in context of todays complex and evolving software demands. The main objective of this paper is to conduct an empirical study into the choice among the most popular Agile methodologies, Scrum, Extreme Programming and Kanban. Further, this paper provides for a comparative analysis among various agile software development methodologies. Our survey results reveal higher adoption of Scrum based development in present-day software industry as compared to Extreme Programming and Kanban methodologies.

From Cognitive Psychology to Image Segmentation: A Change of Perspective

Image segmentation is a complex and essential task used in many computer vision applications. The problem of image segmentation can essentially be formulated as a grouping problem which in its simplest form tries to group the pixels of image into distinguished regions of interest so that further processing of the extracted regions can be achieved. This work proposes an image segmentation model which is inspired by the findings in cognitive psychology theories to divide the image into separate coherent regions. The proposed work tries to correlate between human and machine cognition by studying the segmentation process under the light of psychology of human vision.

A Study on Shape Detection: An Unexplored Parameter in the Gallstones Identification

Elimination of the gallstones is gaining popularity due to significant increase in the count of the people suffering from Cholelithiasis. Cholelithiasis is one of the most reported diseases in India. This paper presents a comparative study of various approaches of gallstones detection and further analyzing the ultrasound images of the patients suffering from Cholelithiasis. Our research mainly focuses on examining the fissures in the identification of the shapes of the Gall Bladder stones automatically by applying various techniques such as image processing, segmentation, and a combination of other preprocessing morphological techniques to scrutinize gallstones with a motive of aiding medical science with more competent techniques for the proficient, effortless and cost-effective removal of gallstones.

CIEVS: A cloud-based framework to modernize the Indian election voting system

In India, Information and Communication technologies (ICT) are being increasingly deployed in almost each sector of economy including media, health, agriculture, transportation, and education. Upon an analysis of the existing Indian Election Voting System, it is felt that the ICT remains to be exploited to its fullest potential. Although, the Election Commission of India (ECI) has recently taken up several ICT-enabled initiatives, but the application of advanced ICTs still needs to be promoted in Indian Election Voting System. In this paper, we propose an I-Voting System to provide for an additional channel of voting to the Indian electorate. This paper evaluates the utility of cloud computing technology in I-Voting and specifies ancillary benefits arising out of its deployment in I-Voting. Further, this paper proposes a cloud deployment model “Cloud-based Integrated Election Voting System (CIEVS)” that leverages advanced Information and Communication technologies including cloud computing, web services and mobile phone services to integrate the existing Electronic Voting Machine (EVM) System with the I-Voting System to provide a solution to the problem of prevailing low voting percentages in the Indian elections. Additionally, the paper elaborates on the components of the proposed model besides discussing the advantages offered by the proposed model.