Soil Classification Using Data Mining Techniques: A Comparative Study Abstract? Soil Classification Using Data Mining Techniques: A Comparative Study. Data driven approaches are gaining popularity in the field of condition monitoring due to their knowledge based fault identification < Final Year Projects > capability for wide range of motor operation. Particularly the method, based on…
Solid waste management Abstract? Solid waste management. Solid waste management has been a leading concern for all the developing countries. It poses serious threats in terms of environmental damage, health hazards and economic cascade. There has to be apt planning for proper waste management by analyzing the area and its waste situation. This paper deals…
Sorted Consecutive Local Binary Pattern for Texture Classification Abstract? Sorted Consecutive Local Binary Pattern for Texture Classification. a sorted consecutive local binary pattern < Final Year Projects 2016 > for texture classification. Conventional methods encode only patterns whose spatial transitions are not more than two, whereas scLBP encodes patterns regardless of their spatial transition. Conventional…
SPA: A Secure and Private Auction Framework for Decentralized Online Social Networks Abstract? SPA: A Secure and Private Auction Framework for Decentralized Online Social Networks. The security and privacy threats on e-commerce have attracted intensive attention recently. The explosive growth of online social networks OSNs < Final Year Projects 2016 > has made them potential…
Space Shuffle: A Scalable, Flexible, and High-Performance Data Center Network Abstract?The increasing need of cloud and big data applications requires data center networks to be scalable and bandwidth-rich. Current data center network architectures often use rigid topologies to increase network bandwidth. A major limitation is that they can hardly support incremental network growth. < final...
Spatial Entropy-Based Global and Local Image Contrast Enhancement Abstract?Spatial Entropy-Based Global and Local Image Contrast Enhancement. This paper proposes a novel algorithm, which enhances the contrast of an input image using spatial information of pixels. The algorithm introduces a new method to compute the spatial entropy of pixels using spatial distribution of pixel gray levels….
Spatial Query Integrity with Voronoi Neighbors Abstract? Spatial Query Integrity with Voronoi Neighbors. With the popularity of location-based services and the abundant usage of smart phones and GPS-enabled devices, the necessity of outsourcing spatial data has grown rapidly over the past few years. Meanwhile, the fast arising trend of cloud storage and cloud computing services…
Spatially Aware Term Selection For Geo Tagging Abstract?Spatially Aware Term Selection For Geo Tagging. The task of assigning geographic coordinates to textual resources plays an increasingly central role in geographic information retrieval. The ability to select those terms from a given collection < Final Year Projects > that are most indicative of geographic location is…
Spatially Optimized Data-Level Fusion of Texture and Shape for Face Recognition Abstract?Data-level fusion is believed to have the potential for enhancing human face recognition. However, due to a number of challenges, current techniques have failed to achieve its full potential. We propose spatially optimized data/pixel-level fusion of 3-D shape and texture for face recognition….
Spatiotemporal Saliency Detection for Video Sequences Based on Random Walk With Restart Abstract? Spatiotemporal Saliency Detection for Video Sequences Based on Random Walk With Restart. A novel saliency detection algorithm for video sequences based on the random walk with restart RWR < Final Year Projects 2016 > is proposed in this paper. We adopt RWR…
Spectrum-Aware Mobility Management in Cognitive Radio Cellular Networks Abstract?Cognitive radio (CR) networks have been proposed as a solution to both spectrum inefficiency and spectrum scarcity problems. However, they face several challenges based on the fluctuating nature of the available spectrum, making it more difficult to support seamless communications, especially in CR cellular networks.< Final Year...