Projecting Active Contours with Diminutive Sequence Optimality

Active contours are widely used in image segmentation. To cope with missing or misleading features in image frames taken in contexts such as spatial and surveillance, researchers have commence various ways to model the preceding of shapes and use the prior to constrict active contours. However, the shape prior is frequently learnt from a large set of annotated data, which is not constantly accessible in practice. In addition, it is often doubted that the existing shapes in the training set will be sufficient to model the new instance in the testing image. In this paper we propose to use the diminutive sequence of image frames to learn the missing contour of the input images. The central median minimization is a simple and effective way to impose the proposed constraint on existing active contour models. Moreover, we extend a fast algorithm to solve the projected model by using the hastened proximal method. The Experiments done using image frames acquired from surveillance, which demonstrated that the proposed method can consistently improve the performance of active contour models and increase the robustness against image defects such as missing boundaries

EASND: Energy Adaptive Secure Neighbour Discovery Scheme for Wireless Sensor Networks

Wireless Sensor Network (WSN) is defined as a distributed system of networking, which is enabled with set of resource constrained sensors, thus attempt to providing a large set of capabilities and connectivity interferences. After deployment nodes in the network must automatically affected heterogeneity of framework and design framework steps, including obtaining knowledge of neighbor nodes for relaying information. The primary goal of the neighbor discovery process is reducing power consumption and enhancing the lifespan of sensor devices. The sensor devices incorporate with advanced multi-purpose protocols, and specifically communication models with the pre-eminent objective of WSN applications. This paper introduces the power and security aware neighbor discovery for WSNs in symmetric and asymmetric scenarios. We have used different of neighbor discovery protocols and security models to make the network as a realistic application dependent model. Finally, we conduct simulation to analyze the performance of the proposed EASND in terms of energy efficiency, collisions, and security. The node channel utilization is exceptionally elevated, and the energy consumption to the discovery of neighbor nodes will also be significantly minimized. Experimental results show that the proposed model has valid accomplishment

Mood & Emotion Detection: Whistling Ball Movement Game

In this investigation, a modified and improved version of the ball-throwing game is presented. The goal is to boost mood and promote mental health utilizing the game system Ball movement and music therapy. The user's whistle pitch determines how the ball moves in this paper. Whistling can serve as a stimulant for the medical reduction of stress, which makes it useful for rehabilitation. Our algorithm adjusts the ball movement performance dependent on the player's whistling score after analyzing it. This article focuses on the system's development and operations

Approaches for User Image Search Goals Using Grouping Similarity

Abstract -Image retrieval and re-ranking as per user image query has become the popular and effective of image retrieval techniques. Similar user query and click through log is important for the success of an image search engine. User search goal analysis will also enhance user experience of a search engine. Using this as a base and leveraging click logs we propose a new design in this paper. In this paper, we focus on designing a new machine learning approach for auto classification and grouping similar user queries for image search system to address a specific kind of image search. Our approach finds most relevant images for a user based on a given user query. Here, our focus is to evaluate the effective association between User Queries and Click through data and customizes search results according to each individual preferences/interests. We also present a ranking procedure to score the images that are retrieved using the proposed approach. I. INTRODUCTION The image retrieval is the process of retrieving images with respect to user intention from the large amount of databases. The user first enters query, based on the keywords in the query the search is performed and from the pool of images resulting images are displayed to the user. Initial image search is performed using surrounding text information of the image. The surrounding text information includes filename, caption or description of the image. e.g. If user wants to search an image of animal tiger and enters query as "tiger" then images containing text "tiger" into their surrounding information are displayed. If any image contains text "tiger" into their surrounding text but it is irrelevant to user intention then this image is also displayed. e.g. image of a person having caption "tiger" is also displayed. The performance of the search decreases because of ambiguous surrounding informatio

Dental students perception of orthodontic treatment

Introduction: The relationship between physical appearance and perception of an esthetic deviation, and the impact of such deviation on self-esteem and body image are important issues in determining the benefits of orthodontic treatment. Aim: To assess dental students′ perception of orthodontic treatment. Materials and Methods: A total of 230 undergraduate dental students of Government Dental College and Research Institute, Bangalore, Karnataka formed the study group. Each classroom of the participants was visited, and self-administered questionnaire was given. An analysis of variance was done between the groups to test for statistical difference. Categorical variables were evaluated using a Chi-square test with the level of significance of P < 0.001. Results: About 75% of the students were aware of their dental esthetics. About 75% of females were satisfied with the attractiveness of their teeth when compared to 69% in males. House surgeons had more positive attitude compared to the 1 st year students. Conclusion: The dental students had good knowledge about the orthodontic treatment and had a positive attitude toward it. Females had very good knowledge, satisfaction and positive attitude compared to the males regarding dental esthetics and treatment. House surgeons were much more aware, very much satisfied and had a more positive attitude than 1 st year students