Automatic Toll Collection Using OCR Technique

Toll Collection in India is a matter of concern as the toll checkpoints are hotbeds of corruption. The purpose of this project is to propose a technique where collection of tolls can be done electronically using image processing technique where we can detect the vehicle and thereby deduct the toll amount. Using this technique we can make an attempt to eradicate corruption from toll checkpoints in India. The current scenario is that the vehicle needs to slow down at the toll collection area in order to pay the amount which leads to traffic problem and sometimes the toll collector doesn�t collect the toll fee from the owner. So the proposed technique will maintain all the records of the toll collected as there is no physical cash involved in this technique

Auto-Summarization of Email Document Using Statistical Approach

In today’s world email communication is growing with fast rate. Thousands emails are coming into user inbox and he is not able to read each and every email documents. so users need such system by which they can classify and summarize emails. This paper discusses an email auto summarization system using statistical approach which uses vector space algorithm. It generates a summary for an email document from mail Inbox of email server. Our system is based on identification and extraction of important sentences from the input email document file. We listed a set of features that we collect as part of summary generation process. These features were stored using vector representation model. We defined a ranking function which ranks each sentence as a linear combination of the sentence features. We also discussed about techniques to achieve coherent and readable summaries of email message documents. The proposed system showed that the extraction based and position based email document summary generated is coherent the selected features are really helpful in extracting the important information from email documents. That generated summary will be displayed at client application interface. On that summary base we can classify emails. DOI: 10.17762/ijritcc2321-8169.15012

RETROSPECTIVE STUDY OF PREVALENCE OF HIV IN BLOOD DONORS AT A.D.GORWALA BLOOD BANK

Background: India has the second highest HIV population in the world with about 2.5-3.0 million cases. Blood transfusion saves millions of lives worldwide each year but Blood transfusion is an important mode of transmission of infections to recipients and at the same time it is also associated with large number of complications including transfusion-transmissible infections (TTIs). Aims &amp; objective: to study the prevalence of HIVin blood donors of A.D.Gorwala Blood bank From January 2005 To December 2010. Methods: A retrospective study was conducted among blood donors through the years 2005-2010. Sera from blood donors were tested for the detection of Anti HIV by using third generation ELISA tests, strictly following the instruction of manufacturers. The donor information was collected through the donor registers from A.D. Gorwala Blood Bank. Result: From the total of 28,371 screened blood samples collected, the prevalence of HIV in blood donors in the blood bank was 0.23% in the ve consecutive years but the trend of HIV infection has decreased from 2005(0.31%) to 2010 (0.04%). The age groups18-30 has the highest prevalence and the age group 51-60 was the lowest prevalence of HIV infection. The Prevalence of HIV among male (0.18%) was higher than in female donors (0.05%). The trend of HIVinfection was decreasing for both male and female blood donors. Conclusion: The analysis of HIV seroprevalence among blood donors through the year 2005- 2010 showed a signicantly decreasing trend, probably due to the cumulative effect of increasing awareness of HIVand improved screening system for safe blood donation.</jats:p

27 Association of anal dysplasia with cervical dysplasia and high-risk HPV subtypes in women

Objectives: High-risk human papillomavirus (hrHPV) infection is a necessary risk factor for cervical and anal dysplasia. Over the last five years, there is increasing evidence that the natural history of hrHPV-induced anal cancer is close to that of cervical cancer. However, evidence-based anal cancer screening recommendations are limited and thus this study aims to characterize the prevalence of cervical dysplasia in women with anal dysplasia. In this study, we aimed to identify the association of anal dysplasia with cervical dysplasia and high-risk HPV subtypes in women. Methods: A retrospective observational study was performed from January 2015 to December 2022 at an academic medical center. Women referred for anal cancer screening with Pap smears and anos-copies were evaluated for lifetime history of cervical dysplasia andfor correlation with hrHPV subtypes during screening. Multivariate logistic regression and chi-square tests were performed. Results: 114 women who underwent anal cancer screening were identified. 78 (68.4%) patients were identified to have anal dysplasia and 16 (20.5%) had high-grade anal dysplasia. Cervical cancer screening data was identified for 109 women, of which 29 (26.6%) had cervical dysplasia, however none had high-grade cervical dysplasia. 50 (43.9%) women were positive for human immunodeficiency virus (HIV). Preliminary analyses show that those with anal dysplasia are more likely to have cervical dysplasia (OR 7.30, p=0.004). Those with cervical dysplasia are more like to have high-risk anal HPV (OR 4.72, p=0.005) and anal dysplasia (OR 7.18, p=0.004). Though those with high-grade anal cytology were not found to have cervical dysplasia, women with HIV were more likely to have cervical dysplasia with high-grade anal cytology (p=0.012). Conclusions: We found that high-risk anal HPV and anal dysplasia were more likely to be found in those with cervical dysplasia. We also found that rates of anal and cervical dysplasia were increased in those with HIV and a history of any malignancy. Since anal dysplasia can be detected and subsequently treated, anal cancer screening should be recommended to women with cervical dysplasia. Further studies are warranted to guide recommendations to screen women with cervical dysplasia for anal dysplasia

Diffuse Midline Glioma (H3K27M mutant) in Adult: A Diagnostic Challenge

Introduction: Diffuse midline glioma (DMG), H3K27M mutant is an infiltrative midline high grade glioma with predominantly astrocytic differentiation and K27M mutation in either H3F3A or HIST1H3B/C.&#x0D; Case Report:  A 45-year-old female presented with complaints of headache and memory loss for 3 months. MRI was suggestive of an infiltrative mass lesion in the quadrigeminal plate cistern suggestive of pineal neoplasm. Squash and histomorphology showed a low-grade astrocytic tumour with infiltrative growth pattern. Microvascular proliferation and necrosis were absent. Immunohistochemistry showed loss of ATRX protein, focal positivity for p53 proteinand IDH1R132H negativity. On molecular analysis, H3K27M mutation was noted and the case was labelled as DMG H3K27Mmutant (WHO IV)&#x0D; Conclusion: DMG (H3K27M) is a newly added entity in the WHO 4th revised editionof 2016. It presents with a diagnostic challenge as it has varied histomorphology, not requiring atypia, mitosis, endothelial hyperplasia and necrosis for diagnosis as Grade IV.</jats:p

Traffic Sign Classification and Detection of Indian Traffic Signs using Deep Learning

This paper presents an effective solution to detecting traffic signs on road by first classifying the traffic sign images us-ing Convolutional Neural Network (CNN) on the German Traffic Sign Recognition Benchmark (GTSRB)[1] and then detecting the images of Indian Traffic Signs using the Indian Dataset which will be used as testing dataset while building classification model. Therefore this system helps electric cars or self driving cars to recognise the traffic signs efficiently and correctly. The system involves two parts, detection of traffic signs from the environment and classification based on CNN thereby recognising the traffic sign. The classification involves building a CNN model of different filters of dimensions 3 × 3, 5 × 5, 9 × 9, 13 × 13, 15 × 15,19 × 19, 23 × 23, 25 × 25 and 31 ×31 from which the most efficient filter is chosen for further classifying the image detected. The detection involves detecting the traffic sign using YOLO v3-v4 and BLOB detection. Transfer Learning is used for using the trained model for detecting Indian traffic sign images.</jats:p

Qualitative Analysis of Malaria Cases Reported at a Tertiary Care Hospital in Ahmedabad: A Record Base Study

Introduction: Malaria is a life threatening parasitic disease caused by parasites known as Plasmodium vivax, Plasmodium falciparum, Plasmodium Ovale and Plasmodium malariae. P.falciparum and P.vivax are equally prevalent in India.In India about 95% of the population resides in malaria endemic area. Objectives: To study the clinical profile of malaria at tertiary care hospital. Method: A retropective study was conducted in V.S.Hospital Ahmedabad, a tertiary care hospital January 2016 to December 2016. This study included 491 patients of age 13 years and above with either a smear positive for plasmodium species or malarial antigen positive by RDT (rapid diagnostic test) admitted in the hospital. Results: Total 491 patients were admitted with malaria in v.s. hospital during the year of 2016, out of which 352 (71.69%) cases were positive for P.Vivax malaria, 109 (22.19%) were positive for P.Falciparum malaria and 10 (2.0%) cases were positive for both species. Total 20 (4.07 %) patients expired. Conclusion: Although P. vivax was the commonest species affecting the population , P. falciparum cases were more complicated and were associated with higher morbidity and mortality. Malaria presented with multi organ involvement had poor prognosis