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Abstract: Advances in natural language processing (NLP) and educational technology, as well as the availability of unprecedented amounts of educationally-relevant text and speech data, have led to an increasing interest in using NLP to address the needs of teachers and students. Educational applications differ in many ways, however, from the types of applications for which
Machine Learning based Regression Model for Prediction of Soil Surface Humidity over Moderately Vegetated Fields
Abstract: Agriculture is one of the major revenue producing sectors of India and a source of survival. Numerous seasonal, economic and biological patterns influence the crop production but unpredictable changes in these patterns lead to a great loss to farmers. These risks can be reduced when suitable approaches are employed on data related to soil
Abstract: Malicious Web sites largely promote the growth of Internet criminal activities and constrain the development of Web services. As a result, there has been strong motivation to develop systemic solution to stopping the user from visiting such Web sites. We propose a learning based approach to classifying Web sites into 3 classes: Benign, Spam
Abstract: In this project work we perform analysis of groundwater level data in three districts of Tamilnadus. We have analysed this data for more than 100 observation wells in each of these districts and developed seasonal models to represent the groundwater behaviour. Three different type of models were developed-periodic, polynomial and rainfall models. While periodic
Abstract: Arabic is a Semitic language spoken by more than 330 million people as a native language, in an area extending from the Arabian/Persian Gulf in the East to the Atlantic Ocean in the West. Moreover, it is the language in which 1.4 billion Muslims around the world perform their daily prayers. Over the last
Abstract: The need to analyze user generated data over the web has recently gained importance due to the abundance of knowledge which can be acquired by careful analysis of such data. Majority of such data is available via online networking websites like Facebook, Twitter, LinkedIn, etc. The data available in such platforms are in the
Objective: We propose a privacy-preserving mechanism that supports public auditing on shared data stored in the cloud. Synopsis: In this paper, we propose a privacy-preserving mechanism that supports public auditing on shared data stored in the cloud. In particular, we exploit ring signatures to compute verification metadata needed to audit the correctness of shared
Objective: To implement a prototype of the proposed authorized duplicate check and evaluate the overhead of the prototype. The overhead is minimal compared to the normal convergent encryption and file upload operations. Synopsis: Data deduplication is one of important data compression techniques for eliminating duplicate copies of repeating data, and has been widely used
Abstract: Steganographic schemes are commonly designed in a way to preserve image statistics or steganalytic features. Since most of the state-of-the-art steganalytic methods employ a machine learning (ML) based classifier, it is reasonable to consider countering steganalysis by trying to fool the ML classifiers. However, simply applying perturbations on stego images as adversarial examples may
Abstract: Information Security has always been a very substantial facet when it comes to hindering unauthorised access, destruction or inspection of confidential data. Today every field in the world makes use of multimedia information. There is need to secure the confidential information used in these areas. There are multiple approaches to secure information. One of
Abstract: Unlike multispectral (MSI) and panchromatic (PAN) images, generally the spatial resolution of hyper spectral images(HSI) is limited, due to sensor limitations. In many applications,HSI with a high spectral as well as spatial resolution are required. In this paper, a new method for spatial resolution enhancement of a HSI using spectral unfixing and sparse coding
Abstract: Efficient employee attendance management leads any organizations to increase overall corporate performance and accomplish specific goals. Accurate employee attendance records are importantly used to control working discipline and increase worker’s productivity. Manual attendance-time checking makes increasingly the expense of time-consuming and paper work of the companies. Human actions i.e. mistake at work, and fraudulent
Abstract: Content-based image retrieval is known as one of the upcoming procedural structure that will apply various techniques of computer vision for penetrating and organizing the huge image anthology in an effective manner. It is largely accepted that with the growth of immense collection of digital images generated by fast progress in electronically storage ability
Abstract: Moving object detection is a fundamental step invarious computer vision applications. Robust Principal ComponentAnalysis (RPCA) based methods have often been employedfor this task. However, the performance of these methodsdeteriorates in the presence of dynamic background scenes,camera jitter, camouflaged moving objects, and/or variations inillumination. It is because of an underlying assumption that theelements in the
Abstract: Effective identification of lung cancer at an initial stage is an important and crucial aspect of image processing. Several Segmentation methods have been used to detect lung cancer at early stage. In this paper, an approach has been presented which will diagnose lung cancer at an initial stage using CT scan images. One of
Abstract: Kidney stone is a common problem amongst the western population. Most kidney stones are small and pass spontaneously. These patients often need no further treatment. However, some patients develop large stones, which can cause significant morbidity in the form of acute symptoms and chronic complications if they are not treated. Yet effective treatment and
Fusion of SAR and Multispectral Satellite Images Using Multiscale Analysis and Dempster-Shafer Theory for Flood Extent Extraction
Abstract: Monitoring flood extent by means of Synthetic Aperture Radar (SAR) images has become a very common practice among decision makers and planners in disaster management as these images provide wide area coverage in extreme weather conditions. However, due to the satellite revisit time, their availability hinders their efficient use in disaster management. To capitalize
Abstract: Eye ball tracking system is assistant system to the patients who are not able to the voluntary works of the daily life. To communicate to the real world eye ball tracking will be useful. Patients who can control their eyes they can communicate to the people in the real world. In this project we
Abstract: The project presents visibility restoration of single hazy images using color analysis and depth estimation with enhanced refined transmission technique. Visibility of outdoor images is often degraded by turbid mediums in poor weather, Haze can seriously affect the visible and visual quality of outdoor images. As a challenge in practice, image dehazing techniques are
Abstract: An enhancement of data protection system for secret communication using reserve room in encrypted images based on texture analysis with lifting wavelet is proposed here. The wavelet will decompose the image into four frequency sub bands namely LL, LH, HL and HH. These coefficients are then utilized in the encoder for removing the redundancies.
Objective: The main goal of a project is to To review totally different techniques to predict stock worth movement. To find the performance and accuracy of stock’s price. Abstract: The goal of this paper is to review totally different techniques to predict stock worth movement victimisation the sentiment analysis from social media, data processing.
Comparing Prediction Performance for Crash Injury Severity among Various Machine Learning and Statistical Methods
Abstract: There are many inventories in in automobile industries to design and build safety measures for automobiles, but traffic accidents are unavoidable. There is a huge number of accidents prevailing in all urban and rural areas. Patterns involved with different circumstances can be detected by developing an accurate prediction models which will be capable of
Abstract: According to recent survey by UN agency (World health organization) seventeen.9 million individuals die annuallyowing to heart connected diseases and it’s increasing chop-chop. With the increasing population and illness, it’s become a challenge to diagnosisillness and providing the suitable treatment at the proper time. however,there’sa light-weight of hope that recent advances in technology have
Understanding and clustering hashtags according to their word distributions using NLP in Machine Learning
Abstract: Hashtags (single tokens often composed of natural language n-grams or abbreviations, prefixed with the character ‘#’) are ubiquitous on social networking services, particularly in short textual documents (a.k.a. posts). Authors use hashtags to diverse ends, many of which can be seen as labels for classical NLP tasks: disambiguation (chips #futurism vs. chips #junkfood); identification
Abstract: In this paper, we will create dataset about college details like staff details and college events, function etc. Then, first we have to create one android app for using speech recognition. This paper presents the design and development of an intelligent voice recognition chat bot. The paper presents a technology demonstrator to verify a
Abstract: In this paper, we are proposing QR reader for bus ticket. Users can scan QR reader instead of ticket. In this app, after registration profile, we have to attach our bank details through in this app. Then whenever we are going on bus, we have to select from and to location. Then it will
Objective: Smart parking system is designed successfully and In order to provide the android Application and secure system . Abstract: Nowadays the traffic problem was rabidly increasing urban areas. So we can find the solution for this problem. In this paper we proposed the one solution for reducing this Problem. So, in this
Abstract: Today we are living in the world where technology is growing very fast and where mobile technology is become an integral part of our life. This field is getting more popular day by day as before people need to use computers or laptops for processing their work fast but today our smartphones have same