A Critical Study Of Electoral Corrupt Practices As A Major Threat To Democracy

In Westminster pattern of democracy government is of the people for the people and by the people. It is a continual participative operation, not a cataclysmic, periodic exercise. The citizen in his multitude, marking his vote at the poll does an audit of his Parliament plus political choice of his proxy. Although the full flower of participative Government really blossoms, the minimum credential of popular Government is appeal to the people after every term for a renewal of confidence. So we have adult franchise and general elections as Constitutional compulsions. The right of elections is very essence of the Constitution. It needs little argument to hold that the core of the Parliamentary system is free and fair elections. Periodically held, based on adult franchise, although social andeconomic democracy may demand much more

The Smart Guide Cane for Assisting the Visually Challenged for Indoor

This paper introduces the concept of the Smart Cane that will use to guide the visually challenged person while walking. Cane is nothing but a hollow stick that is commonly used by the blind one usually. Here the cane is improved by using the sensors for obstacle detection, moisture and fire detection in their environment and to guide them towards their destination. Here we developed the hardware of the Smart Cane by using Atmega328 microcontroller and the outputs are display on the LCD

Statistical Machine Learning Algorithm for Predicting the Risk Factors in Heart Disease

Heart disease is one of the major non-communicable disease and leading cause of mortality in the world. According to WHO heart disease is taking about nearly 17.9 million lives of people each year. Its mortality forecasts indicate a rise in global annual deaths to 20.5 million in 2020 and as high as 24.2 million by 2030. Risk factors are one of the most powerful predictors of heart disease. The study includes modified and non- modified risk factors that contribute to the disease such as Age, Gender, Family history, Hypertension, Diabetics, Obesity, Blood Pressure, Smoking, Alcohol intake, Exercise and Heart rate. Machine learning is one of the most useful techniques that can help researchers, entrepreneurs, and individuals for extracting valuable information from sets of data. The objective of this study is to highlight the utility and application of machine learning techniques for the prediction of heart disease to facilitate experts in the healthcare domain. A total of 336 patients were examined and their personal and medical data were collected in JSS hospital. This prospective study was consisting of 55% patients are free from the heart disease and 45% have heart disease. From the result, it has been determined that males are more likely to develop the heart diseases than females and very common in elderly persons. The accuracy of the Naïve Bayes model is found to be 94%, Obesity plays a vital role in getting the disease followed by hypertension, alcohol intake, smoking, exercise and age has more impact on developing the heart disease

Qualitative and quantitative metabolomics of Pamburus missionis Swingle – a medicinal tree taxon

Since ancient times, Plant based medicine is a well-known oldest form of healthcare to mankind. Even the commercial medications used for the treatment of various ailments today, contains a large proportion of plant derived chemical compounds. Hence chemical profiling of medicinal plants gained a key role to use them in pharmaceuticals as well as commercial industries. Pamburus missionis is one of the medicinal plants used in the Indian and Srilankan traditional medicine system to reduce kapha dosha. The ayurvedic physicians used its leaves to treat swelling, piles, fractures, fistula, puerperal diseases and as serpent venom. Therefore, the present study was undertaken to reveal the phytocompounds from various parts of this plant. Metabolomics revealed the presence of primary and secondary metabolites like carbohydrates, lipids, proteins, alkaloids, phenols, flavonoids, steroids etc. From the aqueous extract, Alkaloid content is almost same in leaf, stem and bark extracts with around 1.2 to 1.3 g (w/v%) and completely absent in the fruit. Phenolic content and steroids are notably high in leaf extract with 112.77±0.34 mg/g of extract and 17.91±0.26 mg respectively, where the flavonoid content in fruit extract with 44.69±0.30 mg/g of extract and the tannin content in bark extract with 62.37±1.75 mg/g of extract

Two Level Security for Cloud Storage with Data Deduplication

Cloud computing provides number of services to client over internet. Storage service is one of the important services that people used now days for storing data on network so that they can access their data from anywhere and anytime. With the benefit of storage service there is an issue of security. To overcome security problem the proposed system contain two levels of securities and to reduce the unwanted storage space de-duplication technique is involved. To increase the level of security one technique is a session password. Session passwords can be used only once and every time a new password is generated. To protect the confidentiality of sensitive data while supporting de-duplication, the convergent encryption technique has been proposed to encrypt the data before outsourcing. Symmetric key algorithm uses same key for both encryption and decryption. In this paper, I will focus on session based authentication for login, encryption for files and duplication check for reduce space of storage on cloud. DOI: 10.17762/ijritcc2321-8169.150612

AN APPLICATION OF SPOTTING OF UNEXPECTED ACCIDENT UNDER BAD CCTV MONITORING CONDITIONS IN DANGEROUS AREAS USING DEEP LEARNING CONVOLUTIONAL NUERAL NETWORK ALEX NET

As the urban population rises and the number of motor vehicles increases, traffic pollution is becoming a major concern in the twenty-first century. Accidents are a major cause of traffic delays since they not only result in injuries and losses for those involved, but also in lost and squandered time for others who are stuck behind the wheel. The proposed Object Detection and Tracking Technology (ODTS) would be used and expanded to automatically identify and control irregular events on CCTVs in tunnels in conjunction with a well-known deep learning network, Faster Regional Convolution Neural (Faster R- CNN), for Object Detection and Traditional Object Tracking. It enables the detection of a moving target in real time, which is typically not possible in standard object tracking systems. The proposed method takes a time frame as input for Object Detection Bounding Box discoveries, comparing current and preceding picture bounding boxes to provide a unique ID number to each moving and detecting object. [3] A video clip is the suggested system. It enables the detection of a moving target in real time, which is typically not possible in standard object tracking systems. As a result, the computer will identify any and all injuries. More specifically, because the training data set is large, it is possible to automatically improve the ODTS capabilities without modifying the programme code

A study to correlate histopathological findings in patients with abnormal uterine bleeding

Background: Abnormal uterine bleeding (AUB) is a common gynecological problem associated with considerable morbidity and significantly affects the patients. The aim of the study was to analyze the histopathological patterns of endometrium in patients presenting with AUB and also to determine the incidence of AUB in various age groups.Methods: This is a retrospective study, conducted in the Department of Obstetrics and Gynaecology, in a tertiary care teaching hospital, Mumbai, India from March 2016 till date. All cases of AUB were included in the study. Data was entered in microsoft excel and managed in statistical package for the social sciences (SPSS) version 16. Analysis was done in the form of percentages and proportions and represented as tables where necessary.Results: A total of 120 cases were analyzed. Patients’ age ranged from 22-79 years. AUB was most common among the perimenopausal females (41-50years). The most common presenting symptom was heavy menstrual bleeding (53%). Dilatation and curettage (D&C) was performed in all cases and 96 underwent hysterectomy as final resort. Endometrial proliferative pattern was the most common histopathological finding and was seen in 27% patients, followed by endometrial hyperplasia in 13.5% patients, secretory endometrium (12.7%) and disordered proliferative endometrium were seen in 10.9% patients each. Malignancy was detected in 1.7% of cases and endometrial carcinoma was the most common lesion.Conclusions: Endometrial sampling is especially indicated in women above the age of 35 years to rule out malignancy and preneoplasia. Among the females with no organic pathology, normal physiological patterns with proliferative, secretory, and menstrual changes were observed. The most common endometrial pathology in this study was endometrial proliferation

A study of cervical Papanicolaou smears examination in patients with abnormal vaginal discharge

Background: Reproductive tract infection represents major public health problem in developing countries. Cervical infections are common problems among women of reproductive age and associated with clinical complaints of vaginal discharge. Pap smear is a screening test to diagnose various abnormal pathology of cervix. Aims and objectives of this study was to identify various causes of vaginal discharge and frequency of various pathogenic microorganisms in cervical smear.Methods: This was hospital based descriptive study carried out on 300 female patients who attended obstetrics and gynecology clinic at tertiary care hospital with compliant of vaginal discharge. Cervical smear samples were collected, conventional smears were prepared by trained technical staff and stained using Papanicolaou (Pap) technique.Results: The most common age group affected with vaginal discharge was 26 to 35 years with 115 cases. The most common associated symptom was lower abdominal pain seen in 75 cases. Most frequent findings on per speculum examination was thick whitish discharge in 186 cases and the most common pathogenic organism found was Bacterial Vaginosis (BV) in 177 cases.Conclusions: The study emphasizes the need for educating women of rural community to raise the awareness for cervical Pap screening

Web Usage Mining and User Behaviour Prediction

Today, Internet is playing such a significant role in our day-to-day life. We have witnessed the evermore- interesting and upcoming publishing medium is the World Wide Web (WWW). The rapid growth in the volume of information available over the WWW and number of its� potential users� has leads to difficulties in providing effective search service for users�, resulting in decrease in the web performance. Web Usage Mining is an area, where the navigational access behaviour of users� over the web is tracked and analyzed. So that websites owner can easily identify the access patterns of its users�. By collecting and analyzing this behaviour of user activities, websites owner can enhance the quality and performance of services to catch the attention of existing as well as new customers. This research paper intends to provide an overview of past and current evaluation in users� future request prediction using Web Usage Mining