Minimum Average Maximum Research Articles

Automated detection of Parkinson's disease using minimum average maximum tree and singular value decomposition method with vowels

In this study, a novel method to automatically detect Parkinson's disease (PD) using vowels is proposed. A combination of minimum average maximum (MAMa) tree and singular value decomposition (SVD) are used to extract the salient features from the voice signals. A novel feature signal is constructed from 3 levels of MAMa tree in the preprocessing phase. The SVD operator is applied to the constructed signal for feature extraction. Then 50 most distinctive features are selected using relief feature selection technique. Finally, k nearest neighborhood (KNN) with 10-fold cross validation is used for the classification. We have achieved the highest classification accuracy rate of 92.46% using vowels with KNN classifier. The dataset used consists of 3 vowels for each person. To obtain individual results, post processing step is performed and best result of 96.83% is obtained with KNN classifier. The proposed method is ready to be tested with huge database and can aid the neurologists in the diagnosis of PD using vowels.

Paleomagnetism of Mongolia

Most Lower Phanerozoic rocks of western Mongolia investigated were repeatedly remagnetized. They demonstrate a secondary magnetization component of normal and reversed polarity. The normal polarity components are related to Mesozoic rock remagnetization. The reversed polarity components were probably formed during the Carboniferous‒Permian Superchron of reversed polarity. The analysis of the distribution of the reversed polarity component in the geological structure of Mongolia allows some zoning to be outlined with the defining regions of Mongolia characterized by insignificant rock defamations with intricate post-Permian dislocations and a region marked by rotation of large blocks around the horizontal axis (Khan Khukhei Range). It is assumed that Ordovician rock of western Mongolia contains a magnetization component close to the primary one. If the assumption is valid, the presumably northern paleolatitude derived from this direction corresponds to the interval of 14°‒17°‒20° (minimum‒average‒maximum, respectively).

Rate-User-Perceived-Quality Aware Replication Strategy for Video Streaming over Wireless Mesh Networks

In this research, we consider the replication strategy for the applications of video streaming in wireless mesh networks (WMNs). In particular, we propose a closed-form of optimal replication densities for a set of frames of a video streaming by exploiting not only the skewed access probability of each frame but also the skewed loss probability and skewed encoding rate-distortion information. The simulation results demonstrate that our method improves the replication performance in terms of user-perceived quality (UPQ) which includes: 1) minimum average maximum reconstructed distortion for high peak signal-to-noise ratio (PSNR), 2) small reconstructed distortion fluctuation among frames for smooth playback, and 3) reasonable average maximum transmission distance for continuous playback. Furthermore, the proposed strategy consumes smaller storage capacity compared to other existing optimal replication strategies. More importantly, the effect of encoding rate is carefully investigated to show that high encoding rate does not always gain high performance of replication for video streaming.