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Diabetes Mellitus (DM), commonly referred as diabetes is a disorder that most of the people suffer from and which also leads to death many of the times. Type 1, Type 2 and Gestational diabetes are the types of diabetes. The present study is of patients suffering from Type 1 DM. In Type 1 diabetes a patient has to take external insulin to maintain the blood glucose level (BGL). Insulin is a hormone...
The radio signals, possessing the so-named ideal auto — correlation function (ACF), resembling the Dirac delta — function (pulse), are widely applied in many technical areas. Due to this reason the methods for design of such signals have been intensively researched during the past sixty years. With regard to this situation in the paper a new algorithm for synthesis of families of binary phase manipulated...
High dynamic range (HDR) images that include large differences in brightness levels are studied to address the lack of knowledge on the quality estimation method for real HDR images. For this, we proposed the local peak signal-to-noise ratio (LPSNR), using the maximum value of neighboring pixels. Next, we proposed an objective estimation method that considers spatial frequency characteristics based...
This paper demonstrates a high performance brain-computer interface (BCI) that allows users to dial phone numbers. The system is based on Canonical Correlation Analysis (CCA) and the automatic artifacts removal system based on BSS-CCA method and Steady-State Visual Evoked Potential (SSVEP). Through six frequency bands (9Hz, 10Hz, 11Hz, 12Hz, 13 Hz, 14Hz) displayed on the screen, subjects can choose...
In this paper, we target a recent challenging problem raised in image processing area: face verification in the presence of facial makeup. To the best of our knowledge, very few works have been proposed to solve this problem. In this paper, we propose a novel face verification scheme. Random subspace is applied to get multiple correlation spaces. Similarity measures among face images are calculated...
We address the problem of pilot decontamination for massive MIMO systems for finite dimensional channels, wherein the channel vectors between the users and the base station are composed of a finite number of discrete paths. The pilot decontamination problem is addressed using high-resolution parametric spectral estimation methods, such as root multiple-signal classification (root-MUSIC), for resolving...
Big data analytics is expected to be of useful approach to many aspects of problem solving. For this research, the authors are trying to utilize this facility for flood disaster management specifically for the state of Kelantan, Malaysia. This research is considering the ordinal type data obtained from the state authorities and proposing on data manipulation through statistical inferences and big...
The assumption of additive white Gaussian noise (AWGN) to model measurement is not valid since many applications such as in RF power measurement the noise is colored with 1/f spectrum characteristics. With this characteristics, the assumption of independently identically distribution (IID) used in signal detection and estimation becomes not valid. The autocorrelation function and power spectrum can...
In digital image processing, template matching is a process to determine the location of sub image inside an image. The sub image, which is called template, usually has similarity with a part of the image. The template can be in different size, color or form. Template matching is famously used in image registration and object recognition. In this paper, we focus on the performance of the Sum of Squared...
this study aims to determine the factors that affect the electromyography signal amplitude of human muscles. In a previous study, it was determined that increases in movement velocity and acceleration led to an increase in EMG signal amplitude. In this study, EMG signal amplitudes were investigated under varying degree of muscle flexion while at rest, by varying the angle of initial positions. Eight...
Nonparametric Bayesian approach is considered for learning appropriate dictionaries in sparse image representations. However, for images from multiple separate sources, existing methods have two issues that potentially limit their practical implements: first, learning one unified dictionary is not optimal for representing image samples in different subspaces; second, the required number of dictionaries...
The time-varying landscape of spectral congestion is driving the investigation into new forms of “spectrally aware” radar emissions based on passive sensing of the environment. The recent Pseudo-Random Optimized FMCW (PRO-FMCW) framework, which can be viewed as an instantiation of FM noise radar, generates a nonlinear FMCW waveform that does not repeat and is designed using spectrally shaped optimization...
This paper presents the results of a study on the perceived challenge of e-learning with special reference to the National Program for Technology Enhanced Learning (NPTEL) offered by the Indian Institutes of Technology (IITs) and Indian Institute of Science (IISc)jointly. The programme has been used to model learner requirement and expectations through technology enhanced and online learning worldwide...
In this article we show how Principal Component Analysis can determine if a course design provides class activities that drive students to improve their skills and get good grades. We also show how this type of statistical analysis can simplify course design by determining if certain activities and feedback instruments measure the same thing.
This study introduces the use of Rice Husk Ash (RHA) as a cement replacement in testing the compressive strength of hydraulic cement mortar cubes. The sample cement and sand were acquired from a local hardware store and the RHA from rice mills of Bocaue, Bulacan. The sample mortars were molded from 2-in. cubes using a cement-sand ratio of 1∶2.75 (1 part cement, 2.75 parts sand by weight). The samples...
Fire incidents are costly occurrences that may be preventable. This study aims to analyze fire data in the City of Manila from 2011 to 2014 based on the various causes of fires. Temporal analytical techniques complemented by geo-mapping are used to determine fire patterns based on time, day, month and year. A total of 2,316 fire incidents were included in the study and fires due to faulty electrical...
Linear filtering methods are well known and have been successfully applied in system identification and equalization problems. However, they become unpractical when the number of parameters to estimate is very large. The recently proposed assumption of system separability allows the development of computationally efficient alternatives to classic adaptive methods in this scenario. In this work, we...
A preliminary exploratory and predictive model to correlate the academic performance of a sample of 96 students enrolled in different basic engineering courses with cognitive and social constructs is presented. The model integrates several dimensions regarding Multiple Intelligences, Self-Regulation skills and Learning Styles constructs. The exploratory study is carried out with three statistical...
High Efficiency Video Coding (HEVC) is a novel video compression standard. It provides significantly better performance than its predecessor, but introduces high computational complexity due its hierarchical block structure. Determining Coding Units (CU), Prediction Units (PU), and Transform Units (TU) size is a time consuming process, as block partitioning decisions are based on rate-distortion optimization...
With the increasing importance of high dynamic range (HDR) imaging and low availability of HDR displays, the need for efficient tone mapping techniques is very crucial. However the tone mapping operators tend to introduce distortions in the HDR images, thus making it visually unpleasant in normal displays. Subjective evaluation of images is important for rating the tone mapping operators as the users...
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