AI based smart home surveillance system
Aim: Aim of this project is to build a surveillance system for home to identify the presence of human and notify to the owner of house.Abstract: Internet of Things (IoT) is an emerging technology which is making our world smarter. The dev..
An Energy- Efficient User Centric Approach High Capacity SG Heterogeneous Cellular Networks
Abstract: While the concept of ultra-dense small cell networks (SCNs) has brought a number of significant opportunities for the telecommunication industry, it has also introduced a major challenge for researchers, who must develop techniques to reduce the sharp i..
Arbitrary-Oriented Ship Detection Framework in Optical Remote-Sensing Images
Abstract SHIP detection in remote-sensing images is important in both civilian and military applications, such as traffic dynamic monitoring, fishery management, security threats uncovering, illegal activities uncovering. the framework is designed to access the fin..
AREA DETERMINATION OF DIABETIC FOOT ULCER IMAGES USING A CASCADED TWO-STAGE SVM BASED CLASSIFICATION
Aim: The mainstay of the project is to determine the wound boundary on a foot ulcer image. Introduction: Doctors base their wound assessment primarily on visual examination and manual measurements per..
Brain tumor segmentation and its area calculation in brain MR images using K-mean clustering and Fuzzy C-mean
Abstract: Brain tumor identification is really challenging task in early stages of life. But now it became advanced with deep-learning. Now a day’s issue of brain tumor automatic identification is of great interest. In Order to detect the brain tumor of a patient we consider the data of pati..
Cascaded Segmentation Detection Networks for Text Based Traffic Sign Detection
Abstract: Since texts in traffic signs have precise and rich semantic information related to traffic condition, text-based traffic sign detection plays an important role in the autonomous driving and auxiliary driving of Intelligent Transportation System, just as traffic congestion det..
Emerging From Water: Underwater Image Color Correction Based on Weakly Supervised Color Transfer
ABSTRACT: Underwater images usually suffer from degeneration, such as low contrast, color casts, and noise, due to wavelength-dependent light absorption and scattering. The attenuated direct transmission leads the intensity from the scene to be weaker and introduces color casts, ..
Emotion Analysis for Personality Inference from EEG Signals
Aim: To design a MATLAB Model for Individual’s Emotion detection through computed EEG using DEAP dataset and making the people to relax by playing music spontaneouslyAbstract: Emotion plays a..
FPGA Implementation of Image Steganography Algorithms using Generalized Exploiting Modification Direction and Pixel Segmentation Strategy
Synopsis: The generalized exploiting modification direction (GEMD) steganography algorithm is an enhancement of the exploiting modification direction (EMD) algorithm to hide a high payload capacity with maintaining the quality of the stego-image. In proposed system we developed..
Interactive Medical Image Segmentation Using Deep Learning with Image-Specific Fine Tuning
Abstract: DEEP learning with convolution neural networks (CNNs) has achieved state-of-the-art performance for automated medical image segmentation. However, automatic segmentation methods have not demonstrated sufficiently accurate and robust results for clinical use due to the inherent..
Practical Privacy-Preserving Content-Based Retrieval in Cloud Image Repositories
Aim: To propose a secure framework for outsourced privacy-preserving storage and retrieval in large shared image repositories.Synopsis: Cloud computing is a new form of internet-based computing that provides shared computer processin..
PurTreeClust A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data
Aim: The Main aim of this Project is to provide the Recommendation to the user based on User Preference and User life Style. And to Cluster the Customer Group based on the Transaction data processed by the Customer.Synopsis: &nbs..
Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks
Aim:To predict the high demand need of pickup location for taxi services based on their previous history. Synopsis:The service industry is booming for the last couple of years and it is expected to grow in the near future. One of the important natures of the business is the serve the customer. To effectively utilize the resource at hand is..
RingNet: A Memory-Oriented Network-On-Chip
Existing system In the existing system design of novel NoC architecture called RingNet that is well-suited to the features of contemporary FPGAs. Among other NoC architectures developed for FPGAs, RingNet stands out with communication through a central memory and traffic ..
SHIRT (Self Healing Intelligent Real Time) Scheduling for Secure Embedded Task Processing
Synopsis: FPGA technology is used in all kinds of high speed devices now, which also need so many demands in Quick configuration of FPGA at runtime is the latest need. Scheduling in FPGAs is increasingly being employed in modern real-time embedded systems, which often impose strict timelin..