Knn odel graphs of even order n and degree 1 blog 2 (n)c, W;n, are graphs which have been introduced some 25 years ago as the topology underlying a time optimal algorithm for gossiping among n nodes Knn o75]. However, they have been formally deened only 5 years ago FP94]. Since then, they have been widely studied as interconnection networks, mainly because of their good properties in terms of b...

In this paper, lead free (K0.48,Na0.52)NbO3 (KNN(48-52)) piezoelectric ceramics were made by conventional solid state sintering process. Additives of nano ZnO (n-ZnO), nano CuO (n-CuO) and nano SnO2 (n-SnO2) were used in order to decrease the sintering temperature, as well as modifying the dielectric, piezoelectric and ferroelectric propert...

We consider improving the performance of k-Nearest Neighbor classifiers. A regularized kNN is proposed to learn an optimal dissimilarity function to substitute the Euclidean metric. The learning process employs hyperkernels and shares a similar regularization framework as support vector machines (SVM). Its performance is shown to be consistently better than kNN, and is competitive with SVM.

Joinoperationisoneofthemostusedoperationsindatabasemanagementsystems,includingspatial databases.Hence,spatialjoinqueriesareveryimportantinspatialdatabaseprocessing.Thereare manydifferentkindsof spatial joinqueries,due to the richness inspatialdata typesandspatial operations.Therefore,itisimportanttounderstandthefullspectrumofspatialjoin...

Three classification techniques, namely, K-means Cluster Analysis (KCA), Fuzzy Cluster Analysis (FCA), and Kohonen Neural Networks (KNN) were employed to group 25 microwatersheds of Kherthal watershed, Rajasthan into homogeneous groups for formulating the basis for suitable conservation and management practices. Ten parameters, mainly, morphological, namely, drainage density (Dd), bifurcation r...

The incorporation method was employed to produce potassium sodium niobate [KNN] (K0.5Na0.5NbO3) glass ceramics from the KNN-SiO2 system. This incorporation method combines a simple mixed-oxide technique for producing KNN powder and a conventional melt-quenching technique to form the resulting glass. KNN was calcined at 800°C and subsequently mixed with SiO2 in the KNN:SiO2 ratio of 75:25 (mol%)...

Semi-supervised learning is a machine learning paradigm in which the induced hypothesis is improved by taking advantage of unlabeled data. It is particularly useful when labeled data is scarce. Cotraining is a widely adopted semi-supervised approach that assumes availability of two views of the training data a restrictive assumption for most real world tasks. In this paper, we propose a one-vie...

In many advanced database applications (e.g., multimedia databases), data objects are transformed into high-dimensional points and manipulated in high-dimensional space. One of the most important but costly operations is the similarity join that combines similar points from multiple datasets. In this paper, we examine the problem of processing K-nearest neighbor similarity join (KNN join). KNN ...

Xu, Huiqi. M.S., Department of Computer Science and Engineering, Wright State University, 2012. kNN-R: Building Secure and Efficient Outsourced kNN Query Service with the RASP encryption. With the wide deployment of public cloud computing infrastructures, outsourcing database services to the cloud has become an appealing solution to save operating expense. However, some databases might be so se...

The exploration of how human beings react to the world and interact with it and each other remains one of the greatest scientific challenges. The ability to recognize affective states of a person we face is the core of emotional intelligence. In the past, several classifiers were adopted independently and tested on several emotional speech corpora with different language, size, number of emotio...