E3 : Keyphrase based News Event Exploration Engine

This paper presents a novel system E3 for extracting keyphrases from news content for the purpose of offering the news audience a broad overview of news events, with especially high content volume. Given an input query, E3 extracts keyphrases and enrich them by tagging, ranking and finding role for frequently associated keyphrases. Also, E3 finds the novelty and activeness of keyphrases using news publication date, to identify the most interesting and informative keyphrases

Structure and Rank of Cyclic codes over a class of non-chain rings

The rings $Z_{4}+\nu Z_{4}$ have been classified into chain rings and non-chain rings on the basis of the values of $\nu^{2} \in Z_{4}+\nu Z_{4}.$ In this paper, the structure of cyclic codes of arbitrary length over the rings $Z_{4}+\nu Z_{4}$ for those values of $\nu^{2}$ for which these are non-chain rings has been established. A unique form of generators of these codes has also been obtained. Further, rank and cardinality of these codes have been established by finding minimal spanning sets for these codes.Comment: 11 page

Study of knowledge, attitude and practices of contraception among the married women of reproductive age group in rural area

Background: More than 40% of pregnancies worldwide are unintended leading to either an unplanned birth or unsafe abortions and maternal morbidity. India, being the most populous country, have an inherent requirement of knowing KAP of contraception among women of reproductive age to prevent unplanned pregnancies, so as to achieve optimal pregnancy outcome. Methods: A descriptive type of observational cross sectional study, involving 400 women within 18-45 year age group, were interviewed regarding KAP for various contraceptive methods. Results: Statistical analysis of data was done by using chi-square technique. Majority (82.5%) in our study had heard of contraception. In our group, 66.36% had fair knowledge, 31.21% had poor knowledge and 2.42% had good knowledge. Age, education, parity, age at marriage, association of these factors were statistically not significant. Majority (86.06%) had a negative attitude towards contraception because of rural background. Only Age (>20) was found to statistically significant for attitude towards contraception. Our study showed 43.25 % women were currently using contraceptive method, where tubal ligation was most common. Socio-demographic factors like age, education status, age at marriage were found to be statistically significant with practice or usage of contraception. Conclusions: Our study reveals that despite of fair knowledge, majority of women had negative attitude towards contraception, mainly due to rural setup, ignorance, shy nature and family pressure. Despite of fair knowledge about contraceptive methods, there usage is low. Thus, there is need for aggressive advocacy about female reproductive health with dissemination of information about family planning methods among reproductive female

Comparative Study of Image Fusion Methods

Sensor networks are increasingly becoming an attractive method to collect information in a given area. However more than one sensors are required to providing the information, either because of their design or because of observational constraints. One possible solution to get all the required information about a particular scene or subject is data fusion. Multi-sensor data often presents complementary information about the region surveyed and data fusion provides an effective method to enable comparison, interpretation and analysis of such data. It is possible to have several images of the same scene providing different information about the same scene. This is because each image has been captured with a different sensor. In this paper we provide a method for evaluating the performance of image fusion algorithms. We define a set of measures of effectiveness for comparative performance analysis and then use them on the output of a number of fusion algorithms that have been applied to a set of real passive infrared (IR) and visible band imagery

Approach to access the Remote device in same network using Virtual Network Computing: An Accessibility Endeavor

Cellular phones have shown an impressive progress in their functionality to a point where it is now possible to have cellular phones execute Java programs. As a result, cellular users all over the world are now able to read as well as write e-mail, browse Web pages, and play Java games by means of their cellular phones. This development has prompted us to put forward the use of a cellular phone as a device for remotely controlling computers. Here, we will draft the process to access the home screen of remote computer using Virtual Network Computing based architecture with the use of an android phone. The user will be able to access the screen of remote computer through a browser on the users phone. The primary criteria for the connection to be established is that both the desktop and mobile phone should be in the same wifi network. The image of the screen is compacted before it is sent to the phone. There is a provision for the left and right mouse click on the client side browser. The prototype is already implemented using java in Net Beans Integrated Development Environment using java server pages (JSP) and tested on an android based smart phone and tablet. DOI: 10.17762/ijritcc2321-8169.15018

Comparative study of Image Fusion Methods: A Review

As the size and cost of sensors decrease, sensor networks are increasingly becoming an attractive method to collect information in a given area. However, one single sensor is not capable of providing all the required information,either because of their design or because of observational constraints. One possible solution to get all the required information about a particular scene or subject is data fusion.. A small number of metrics proposed so far provide only a rough, numerical estimate of fusion performance with limited understanding of the relative merits of different fusion schemes. This paper proposes a method for comprehensive, objective, image fusion performance characterization using a fusion evaluation framework based on gradient information representation. We give the framework of the overallnbsp system and explain its USAge method. The system has many functions: image denoising, image enhancement, image registration, image segmentation, image fusion, and fusion evaluation. This paper presents a literature review on some of the image fusion techniques for image fusion like, Laplace transform, Discrete Wavelet transform based fusion, Principal component analysis (PCA) based fusion etc. Comparison of all the techniques can be the better approach fornbsp future research

Multi-Fidelity Active Learning with GFlowNets

In the last decades, the capacity to generate large amounts of data in science and engineering applications has been growing steadily. Meanwhile, the progress in machine learning has turned it into a suitable tool to process and utilise the available data. Nonetheless, many relevant scientific and engineering problems present challenges where current machine learning methods cannot yet efficiently leverage the available data and resources. For example, in scientific discovery, we are often faced with the problem of exploring very large, high-dimensional spaces, where querying a high fidelity, black-box objective function is very expensive. Progress in machine learning methods that can efficiently tackle such problems would help accelerate currently crucial areas such as drug and materials discovery. In this paper, we propose the use of GFlowNets for multi-fidelity active learning, where multiple approximations of the black-box function are available at lower fidelity and cost. GFlowNets are recently proposed methods for amortised probabilistic inference that have proven efficient for exploring large, high-dimensional spaces and can hence be practical in the multi-fidelity setting too. Here, we describe our algorithm for multi-fidelity active learning with GFlowNets and evaluate its performance in both well-studied synthetic tasks and practically relevant applications of molecular discovery. Our results show that multi-fidelity active learning with GFlowNets can efficiently leverage the availability of multiple oracles with different costs and fidelities to accelerate scientific discovery and engineering design.Comment: Code: https://github.com/nikita-0209/mf-al-gf

An Enhanced Deep Convolutional Neural Network for Classifying Indian Classical Dance Forms

Indian classical dance (ICD) classification is an interesting subject because of its complex body posture. It provides a stage to experiment with various computer vision and deep learning concepts. With a change in learning styles, automated teaching solutions have become inevitable in every field, from traditional to online platforms. Additionally, ICD forms an essential part of a rich cultural and intangible heritage, which at all costs must be modernized and preserved. In this paper, we have attempted an exhaustive classification of dance forms into eight categories. For classification, we have proposed a deep convolutional neural network (DCNN) model using ResNet50, which outperforms various state-of-the-art approaches.Additionally, to our surprise, the proposed model also surpassed a few recently published works in terms of performance evaluation. The input to the proposed network is initially pre-processed using image thresholding and sampling. Next, a truncated DCNN based on ResNet50 is applied to the pre-processed samples. The proposed model gives an accuracy score of 0.911

Cut Throat Injury: A Tertiary Care Centre Experience

Introduction Cut throat injuries are one of the challenging emergencies encountered in clinical practice. This study evaluates the causes and management of cut throat injuries.   Materials and Methods This was a retrospective study of total 100 cases of cut throat injury presented to the department of ENT in a tertiary care hospital in Ahmedabad between June 2017 and June 2019. Majority of patients were managed by suturing.   Results In our study 69% were males,31% were females. The peak age of incidence is 4th decade (55%). 70% of them have injury in Zone II. Seventy eight percent of the patients presented with active bleed without major vessel injury. The most common cause of cut throat injury had been found to be accidental (75%), 54% had injury up to muscular layer. Five patients were managed by laryngotracheal stent placement. Conclusion The middle aged males were mostly affected. The majority had zone 2 injury.  The most common cause was Accidental (seasonal manja/ kite thread cut). Primary repair is the best way to avoid complications