207 research outputs found

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

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    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

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    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

    SCM Strategy for Sales Augmentation using TSP Algorithm and Time Bound Marginal Discount Utility

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    At present, Fast Moving Electrical Goods (FMEG) industries target wholesale dealers and not the retailers for supplying their finished goods. The reasons for this being: a) Dealers are fewer in numbers and hence net distance travelled per shipment is less b) Dealers tend to demand higher lot sizes, thereby decreasing overall cost of transportation per unit for the product. This work presents a supply chain strategy to use retailer based distribution by solving both the issues by a) using the concept of milk runs by taking analogy of Travelling Salesman Problem to decrease transportation cost and b) applying time bound marginal discount utility to solve the issue of low lot sizes. A case study has been prepared based on field experiences of middle level FMEG industry for its four popular consumer products. It presents application of travelling salesman problem (TSP) algorithm to make efficient milk runs. Also, concept of time bound marginal discount utility solution is proposed to find an optimum discount price to optimize the transportation cost and revenues. The paper compares this proposed supply chain strategy with manufacturer to dealer model and manufacturer to retailer model with various combinations

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

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

    Expression of Dkk 1 in Endometrial Endometrioid Carcinoma & Its Correlation with Wnt / β-catenin Signaling Pathway

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    Objective: Endometrial cancer is the most common form of cancer affecting female reproductive organs. Most common histologic type endometrioid carcinoma constitutes 75 to 80% of all cases. Studies on Dkk1 expression profiles and its inhibitory role in Wnt signaling pathway in genesis and development of endometrial carcinoma are very few. This study aims to investigate Dkk1 expression in endometrial carcinoma and its correlation with Wnt/β-catenin pathway. Methods: A total of 160 formalin fixed paraffin embedded samples including 50 cases each of endometrial atypical hyperplasia and endometrioid endometrial carcinoma along with 30 cases each of proliferative and secretory endometrium were included in this study. We investigated expression pattern of Dkk1, E-cadherin, β-catenin and c-myc in endometrial atypical hyperplasia and carcinoma as well as compared with that of proliferative and secretory endometrium. Immunohistochemistry and analysis were performed from July, 2018 to June, 2020. Results: We showed decreasing pattern of immunopositivity for Dkk1, E-cadherin and β-catenin from proliferative/secretory endometrium to endometrial atypical hyperplasia and endometrioid carcinoma. Increasing c-myc immunopositivity was noted from proliferative/secretory endometrium to endometrial atypical hyperplasia and endometrioid carcinoma. Moreover, decreasing Dkk1 immunopositivity was well correlated with both E-cadherin, β-catenin and c-myc immunopositivity. Conclusion: Decreasing Dkk1 positivity from benign endometrium to endometrioid carcinoma suggests a negative regulatory function of Dkk1 in endometrioid carcinoma. Dkk1 is downregulated in Wnt signaling pathway in endometrioid endometrial carcinoma. Thus, Dkk1 can show promise as a biomarker for screening endometrioid carcinoma. Future researches can study the reactivation of the Dkk1 gene that could be a valuable strategy for antagonizing Wnt signaling pathway. Keywords: Endometrioid carcinoma, Dkk1, Wnt/β-catenin pathway, β-catenin, E-cadheri

    Role of pelvic and para-aortic lymphadenectomy in epithelial ovarian cancers

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    Background: Lymphadenectomy in epithelial ovarian cancers has remained a controversial subject. Lack of robust evidence on survival benefits and surgical morbidity associated questions its role in the era of adjuvant chemotherapy. The present study assessed pelvic and para-aortic lymph node removal in epithelial ovarian cancer in Indian women and tried to find clinicopathological correlation of nodal involvement and postoperative implications of lymphadenectomy.Methods: Thirty patients with diagnosis of epithelial ovarian cancer posted for primary debulking surgery were recruited and underwent staging laparotomy along with pelvic and para-aortic lymphadenectomy. Nodal involvement was confirmed on histopathology and various parameters which could predict nodal metastasis were assessed. Patients were followed up for 12 months post-surgery.Results: Nodal yield was ten for pelvic and four for paraaortic nodes. Pelvic node involvement was seen in 26.6% (8/30) of the patients and para-aortic in 15% (3/20) of the patients. Serous histology, higher grade, stage 3 and above, positive peritoneal cytology, omental involvement showed a higher lymph node involvement though not statistically significant. Para-aortic lymphadenectomy was associated with increased operating time, blood loss and longer hospital stay.Conclusions: Lymphadenectomy increases morbidity and decision should be based on predictors of nodal involvement
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