Showing 1897–1908 of 2043 results
The Mason Test: A Defense Against Sybil Attacks in Wireless Networks Without Trusted Authorities Abstract?The Mason Test: A Defense Against Sybil Attacks in Wireless Networks WithoutTrusted Authorities. Wireless networks are vulnerable to Sybil attacks, in which a malicious node poses as many identities in order to gain disproportionate in?uence. Many defenses based on spatial variability…
The Move-Split-Merge Metric for Time Series Abstract?The Move-Split-Merge Metric for Time Series.A novel metric for time series, called Move-Split-Merge (MSM), is proposed. This metric uses as building blocks three fundamental operations: Move, Split, and Merge, which can be applied in sequence to transform any time series into any other time series. A Move operation…
The Role Of Hubness For Clustering High Dimensional Data Abstract?The Role Of Hubness For Clustering High Dimensional Data. High-dimensional data arise naturally in many domains, and have regularly presented a great < Final Year Projects > challenge for traditional data mining techniques, both in terms of effectiveness and efficiency. Clustering becomes difficult due to the…
The Role of Hubness in Clustering High-Dimensional Data Abstract? The Role of Hubness in Clustering High-Dimensional Data. High-dimensional data arise naturally in many domains, and have regularly presented a great challenge for traditional data mining techniques, both in terms of effectiveness and efficiency. Clustering becomes difficult due to the increasing sparsity of such data, as…
The Role of Location Popularity in Multicast Mobile Ad Hoc Networks Abstract? The Role of Location Popularity in Multicast Mobile Ad Hoc Networks. In the asymptotic analysis of large scale mobile networks, most previous works assume that nodes move in all the cells identically. We put forward this line of research by considering location popularity,…
The Small World of File Sharing. Web caches, content distribution networks, peer-to-peer file-sharing networks, distributed file systems, and data grids all have in common that they involve a community of users who use shared data. In each case, overall system performance can be improved significantly by first identifying and then exploiting the structure of community’s…
The study and application of the improved region growing algorithm for liver segmentation Abstract?The study and application of the improved region growing algorithm for liver segmentation. In order to improve the accuracy of the medical image segmentation and reduce the effect of selecting seed points using region growing algorithm, an improved region growing method is…
Three Dimensional Data-Driven MultiScale Atomic Representation of Optical Coherence Tomography Abstract? Three Dimensional Data-Driven Multi Scale Atomic Representation of Optical Coherence Tomography. We discuss about applications of different methods for decomposing a signal over elementary wave forms chosen in a family called a dictionary atomic representations< Final Year Projects 2016 > in optical coherence tomography…
Threshold Logic Computing: Memristive-CMOS Circuits for Fast Fourier Transform and Vedic Multiplication Abstract? Threshold Logic Computing: Memristive-CMOS Circuits for Fast Fourier Transform and Vedic Multiplication. Brain-inspired circuits can provide an alternative solution to implement computing architectures taking advantage of fault tolerance and generalization ability of logic gates. In this brief, we advance over the memristive…
Thrift Society Automation Abstract? Thrift Society Automation. The payroll information presented below is an overview of the College payroll system. The Payroll Office is responsible for all pay-related functions which include biweekly and monthly payroll for all College student and staff employees. Applying federal and state payroll laws and regulations, Payroll strives to process timely…
Time Series Database Preprocessing for Data Mining Using Python Abstract-Database Preprocessing for Data Mining Using Python lays the groundwork for data mining. Before the discovery of useful information/knowledge, the target data set must be properly prepared. Using Data Mining in census data has very high learning value and vast marketplace space. While census data are…
Time Series Shapelets: A New Primitive for Data Mining Abstract? Time Series Shapelets: A New Primitive for Data Mining. Classification of time series has been attracting great interest over the past decade. Recent empirical evidence has strongly suggested that the simple nearest neighbor algorithm is very difficult to beat for most time series problems. While…
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