A Collaborative approach for segmentation of probe image for efficient texture recognition

Image processing methodologies and domain is quite wide and really efficient now days for real time applications Our work primarily deals with the domain of image segmentation and using segmentation concept texture recognition has been performed with comparative results and simulations performed over a particular image dataset The initial work in our proposed work is to perform segmentation on each part image then performing extraction We have focused on segmentation followed by extraction so that the classification result may not contain much error The conventional approach has been implemented in this regard first and then the main problem that has been formulated is patch up data pixels together which provide error in getting right and appropriate texture In order to deal with the problem formulated in the existing work we have proposed a new commuted method in which the extraction and segmentation of image depends on the dynamic threshold set by use

Extended 16x16 Play-Fair Algorithm for Secure Key Exchange Using RSA Algorithm

With the world entering in the 21st century rigorous efforts are being made to secure data and flow of information among the users. Though with the advancements are fast and efficient the third party intervention and security threats has also increased many folds. The algorithms being used to encrypt and decrypt data needs to be strong enough to secure the data but also simple enough for a user to handle the process. With this article a novel, practical approach is presented which not only makes the information more secured but also being based on RSA algorithm is easy enough for users to understand and implement into the systems

Managing data science initiatives as exploratory projects : a new approach to program management

University of Technology Sydney. Faculty of Design, Architecture and Building.Data is increasingly ubiquitous in organisational life, informing business cases, delivering core scope elements, and tracking benefits realisation. Data science initiatives (DSIs) involve applying data science techniques to address complex problems, generate insights or create new products. Despite their popularity, DSIs have a low perceived success rate, with 85% of projects failing. The interdisciplinary and complex nature of DSIs necessitates a program-based approach for effective delivery. Current literature lacks comprehensive frameworks for program managers to guide DSIs through their life cycle, from business case construction to value realisation. This research addresses this gap by analysing seven DSIs at Transport for NSW, aiming to understand challenges and best practices in DSI management. The study proposes an evidence-based delivery framework using agile methods for flexibility and a minimum viable governance framework employing lean portfolio management. DSIs blend exploration (innovation) and exploitation (efficiency), requiring balanced management to navigate emerging technologies and evolving business landscapes. This research provides theoretical contributions by integrating explorative and exploitative concepts and practical insights for program managers. It also serves as a resource for academics and practitioners to enhance understanding and management of DSIs, addressing the need for effective program management in the field of data science

Greenways for a Greater Good- An Indian Perspective

Cities have developed on the banks of rivers from the dawn of civilizations. The urban fabric of Indian cities is an intricate tapestry composed of settlements that span almost 4000 years of urban history. Cities as old as 2500 B.C co-exist sometimes in harmony and sometimes in conflict with cities that are still being conceived. The pace of urbanization in India is unprecedented and the country hosts some of the most populous cities in the world. According to the 2011 census, urbanization in India has increased faster than expected reversing the declining trends of the earlier decades. (Census of India, 2011) This boom presents its own set of challenges and opportunities. The role of a Landscape Planner becomes prominent since ensuring the balance of ecological processes and the components of Master Plans are imperative to ensure a sustainable future

Lipoid pneumonia presenting as non resolving community acquired pneumonia: a case report

This is an Open Access article distributed under the terms of the Creative Commons Attribution Licens

Microarray Evidences the Role of Pathologic Adipose Tissue in Insulin Resistance and Their Clinical Implications

Clustering of insulin resistance and dysmetabolism with obesity is attributed to pathologic adipose tissue. The morphologic hallmarks of this pathology are adipocye hypertrophy and heightened inflammation. However, it's underlying molecular mechanisms remains unknown. Study of gene function in metabolically active tissues like adipose tissue, skeletal muscle and liver is a promising strategy. Microarray is a powerful technique of assessment of gene function by measuring transcription of large number of genes in an array. This technique has several potential applications in understanding pathologic adipose tissue. They are: (1) transcriptomic differences between various depots of adipose tissue, adipose tissue from obese versus lean individuals, high insulin resistant versus low insulin resistance, brown versus white adipose tissue, (2) transcriptomic profiles of various stages of adipogenesis, (3) effect of diet, cytokines, adipokines, hormones, environmental toxins and drugs on transcriptomic profiles, (4) influence of adipokines on transcriptomic profiles in skeletal muscle, hepatocyte, adipose tissue etc., and (5) genetics of gene expression. The microarray evidences of molecular basis of obesity and insulin resistance are presented here. Despite the limitations, microarray has potential clinical applications in finding new molecular targets for treatment of insulin resistance and classification of adipose tissue based on future risk of insulin resistance syndrome.</jats:p