Indian Institute of Technology Indore

About: Indian Institute of Technology Indore is a education organization based out in Indore, Madhya Pradesh, India. It is known for research contribution in the topics: Fading & Support vector machine. The organization has 1606 authors who have published 4803 publications receiving 66500 citations.

Different domestic designs of solar stills: A review

Abstract: Access to safe, fresh and clean drinking water is one of the major problems in different parts of the world. Among many water purification technologies solar desalination/distillation/purification is one of the most sustainable and attractive method employed to meet the supply of clean drinkable water in remote areas at a very reasonable cost. Over the past three decades, there have been numerous designs of solar still system developed worldwide. However the technology is not commercialized and standardized because of its lower yield. This article provides a comprehensive review of the various designs of solar stills used at domestic level. Performance parameters like heat transfer analysis, energy analysis, exergy analysis, thermal efficiency and economic analysis have been presented for the domestic designs of solar stills. Though solar still have not been successfully commercialized as yet, with the ongoing research efforts, they can be modified and improved for future domestic applications.

Charged-particle multiplicities in proton–proton collisions at √s=0.9 to 8 TeV

Abstract: A detailed study of pseudorapidity densities and multiplicity distributions of primary charged particles produced in proton-proton collisions, at $\sqrt{s} =$ 0.9, 2.36, 2.76, 7 and 8 TeV, in the pseudorapidity range $|\eta|<2$, was carried out using the ALICE detector. Measurements were obtained for three event classes: inelastic, non-single diffractive and events with at least one charged particle in the pseudorapidity interval $|\eta|<1$. The use of an improved track-counting algorithm combined with ALICE's measurements of diffractive processes allows a higher precision compared to our previous publications. A KNO scaling study was performed in the pseudorapidity intervals $|\eta|<$ 0.5, 1.0 and 1.5. The data are compared to other experimental results and to models as implemented in Monte Carlo event generators PHOJET and recent tunes of PYTHIA6, PYTHIA8 and EPOS.

Electronic and optical properties of BaTiO3 across tetragonal to cubic phase transition: An experimental and theoretical investigation

Abstract: Temperature dependent diffuse reflectance spectroscopy measurements were carried out on polycrystalline samples of BaTiO3 across the tetragonal to cubic structural phase transition temperature (TP). The values of various optical parameters such as band gap (Eg), Urbach energy (Eu), and Urbach focus (E0) were estimated in the temperature range of 300 K to 480 K. It was observed that with increasing temperature, Eg decreases and shows a sharp anomaly at TP. First principle studies were employed in order to understand the observed change in Eg due to the structural phase transition. Near TP, there exist two values of E0, suggesting the presence of electronic heterogeneity. Further, near TP, Eu shows metastability, i.e., the value of Eu at temperature T is not constant but is a function of time (t). Interestingly, it is observed that the ratio of Eu (t=0)/Eu (t = tm), almost remains constant at 300 K (pure tetragonal phase) and at 450 K (pure cubic phase), whereas this ratio decreases close to the transition temperature, which confirms the presence of electronic metastability in the pure BaTiO3. The time dependence of Eu, which also shows an influence of the observed metastability can be fitted with the stretched exponential function, suggesting the presence of a dynamic heterogeneous electronic disorder in the sample across TP. First principle studies suggest that the observed phase coexistence may be due to a very small difference between the total cohesive energy of the tetragonal and the cubic structure of BaTiO3. The present work implies that the optical studies may be a sensitive probe of disorder/heterogeneity in the sample.

A Novel Approach for Detection of Myocardial Infarction From ECG Signals of Multiple Electrodes

Abstract: Myocardial infarction (MI) is also called the heart attack, and it results in the death of heart muscle cells due to the lacking in the supply of oxygen and other nutrients. The early and accurate detection of MI using the 12-lead electrocardiogram (ECG) is helpful in the clinical standard for saving the lives of the patients suffering from this pathology. This paper proposes a novel approach for the detection of MI pathology using the multiresolution analysis of 12-lead ECG signals. The approach is based on the use of Fourier–Bessel series expansion-based empirical wavelet transform (FBSE-EWT) for the time-scale decomposition of 12-lead ECG signals. For each lead ECG signal, nine subband signals are evaluated using FBSE-EWT. The statistical features such as the kurtosis, the skewness, and the entropy are evaluated from the subband signals of each ECG lead. The deep neural network such as the deep layer least-square support-vector machine (DL-LSSVM) which is formulated using the hidden layers of sparse auto-encoders and the LSSVM is used for the detection of MI from the feature vector of 12-lead ECG. The experimental results demonstrate that the combination of FBSE-EWT-based entropy features and DL-LSSVM has the mean accuracy, the mean sensitivity, and the mean specificity values of 99.74%, 99.87%, and 99.60%, respectively, for the detection of MI. The accuracy value of the proposed method is improved by more than 3% as compared to the wavelet-based features for the detection of MI.