International Journal on Future Revolution in Computer Science & Communication Engineering
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A Novel Approach for Management Zone Delineation by Classifying Spatial Multivariate Data and Analyzing Maps of Crop Yield
Get PDFPrecision farming has been playing a distinguished role over last few years. It encompasses the techniques of Data Mining and Information Technology into agricultural process. The acute task in classic agriculture is fertilization, which makes minerals available for crops. Site specific methods result in imbalanced management within fields which affects the crop yield. Treating the whole field as uniform area is merely heedless as it forces the farmers to use costly resources like fertilizers, pesticides etc., at greater expenses. As the field is heterogeneous, the critical task is to identify which part of the field should be considered and the percentage of fertilizer or pesticide required. In order to increase the yield productivity, concept of Management Zone Delineation (MZD) has to be adopted, which divides the agricultural field into homogeneous subfields, or zones based on the soil parameters. Precision Agriculture focuses on the utilization of Management zones (MZs). In this paper, we have collected huge data of Davanagere agricultural jurisdiction during standard farming operations which reflects the heterogeneity of agricultural field. We base our work on a new Data Mining technique called Kriging, which interpolates soil sample values for the specific region, which in turn helps in converting heterogeneous zones to homogeneous subfields
Framingham Heart Study
Get PDFThis paper describes the Framingham Heart Study one of the most important epidemiological studies ever conducted, and the underlying analytics that led to our current understanding of cardiovascular disease. The logistic regression algorithm is used to analyse the Framingham data set and predict the heart risk of a patient
Survey on Faster Region Convolution Neural Network for Object Detection
Get PDFConvolution Neural Networks uses the concepts of deep learning and becomes the golden standard for image classification. This algorithm was implemented even in complicated sights with multiple overlapping objects, different backgrounds and it also successfully identified and classified objects along with their boundaries, differences and relations to one another. Then comes Region-based Convolutional Neural Networks(R-CNN)which is further more described into two types that is Fast R-CNN and Faster R-CNN. This R-CNN method is to use selective search to extract only 2000 regions from the image and cannot be implemented in real time as it would take 47 sec approximately for each test image. Then comes the fast R-CNN in which changes are made to overcome the drawbacks in R-CNN algorithm in which the 2000 region proposals are not fed to the CNN instead the image is fed directly to the CNN to generate Convolutional feature map. This was then replaced by faster R-CNN which came up with an object detection algorithm that eliminates the selective search algorithm to perform the operation. This algorithm takes 0.2 sec approximately for the test image and we will be using this for real time object detection.So, basically in this paper we are doing research on Faster R-CNN that is being used for object detection method
Combination of Wavelet and MLP Neural Network for Emotion Recognition System
Get PDFEmotional recognition from the EEG signal is one of the areas in which many scientists around the world have concerned. Two important issues are EEG feature extraction and EEG classification. The wavelet transform method allows the extraction of nonlinear characteristics of the data from which it is possible to derive smaller feature vector than other methods. The MLP neural network has proven to be a very effective classification method. Thus, in this paper, the authors present one method to construct a highly accurate emotional recognition system by combining the two above methods. The results based on Matlab simulations with the standard data from the international scientific community
Video Based Emotion Recognition Using CNN and BRNN
Get PDFVideo-based Emotion recognition is rather challenging than vision task. It needs to model spatial information of each image frame as well as the temporal contextual correlations among sequential frames. For this purpose, we propose hierarchical deep network architecture to extract high-level spatial temporal features. Two classic neural networks, Convolutional neural network (CNN) and Bi-directional recurrent neural network (BRNN) are employed to capture facial textural characteristics in spatial domain and dynamic emotion changes in temporal domain. We endeavor to coordinate the two networks by optimizing each of them to boost the performance of the emotion recognition as well as to achieve greater accuracy as compared with baselines
Denoising of Locally Received NOAA images for Remote Sensing Applications
Get PDFRemote Sensing means capturing images of earth’s surface using satellites. Remote Sensing finds its applications in agriculture sector, climate studies, forest fire detection, pollution monitoring and oceanography etc. In this paper, NOAA images are considered as Remote Sensing images. NOAA images are directly received by using L Band antenna, located at Sri Venkateswara University, Tirupati, Andhra Pradesh state, India. The received NOAA images are denoised using spatial and frequency domain denoising techniques with modified soft thresholding. The proposed thresholding technique preserves the green content of the image even after denoising by which accuracy of outcome can be increased in remote sensing applications. Comparison of the performance is done to prove that the proposed techniques are better than existing methods
Security Issues in Cloud based e-Learning Part 5(Security Management Standards)
Get PDFIn this part , Security standards are explored, hence all can be aware with available standards
Concept of Human Rights in India
Get PDFThe concept of human right is based on the assumption that human beings are born equal in dignity and rights but man has made him not equal in many ways. Some were made privileged and some were not. The denial of human rights and basic freedoms not solely is a personal and private tragedy however conjointly creates conditions of social and political unrest sowing the seeds of violence and conflicts at intervals and between societies and Nations. Human Rights are those minimal rights which are available to every human being without distinction of language, religion, caste, nationality, sex, social and economic conditions of the society. These rights enable individuals to fully use their intelligence, talents and conscience to satisfy spiritual and other needs
A Review on Secure Access to Cloud Storage by using ABE
Get PDFCloud computing is going to be very famous technology in IT enterprises. For an enterprise, the data stored is huge and it is very precious. All tasks are performed through networks. Hence, it becomes very important to have the secured use of data. In cloud computing, the most important concerns of security are data security and privacy. For access control, being one of the classic research topics, many schemes have been proposed and implemented. In this paper, various schemes for encryption that consist of Attribute based encryption (ABE) and its types KP-ABE, CP-ABE is explored. Public Key Encryption acts as the basic technique for ABE where it provides one to many encryptions, here, the private key of users & the cipher-text both rely on attributes such that, when the set of the attributes of users key matches set of attributes of cipher-text with its corresponding access policy, only then decryption is possible
Health Prediction and Personal Pollution Exposure Monitoring using Pollution Sensors
Get PDFThe aim of this paper is to outline a wearable air pollution mapping system for an in- dividual. For this it incorporates interfacing some pollution related sensors (CO2, CO and clean sen-sor) to the clients body which will continually screen the encompassing air pollution levels and gure the correct measure of dangerous gasses breathed in by the client contingent on the breath- ing rate of the client. Contingent on these qualities, the client will be alerted continuously by indicating notices where pollution level has outperformed the allowable breaking point. The data will be pre- served (on-chip) and later analyzed using graphs and diagrams prepared in Excel using Visual Basic. The data analysis will provide the user with health prediction