Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Department of Multimedia

The growing demand of digital technologies are increasing the quality of human life at an unprecedented rate, but at the same time managing e-waste from these digital technologies are emerging as one of the biggest challenges for most of the industrial and government bodies. Collection of E-waste causes various problems such as environmental effluence, resource scarcity and it also results in developing various health hazards to human population. In this paper, we propose a framework using wireless sensor network and augmented reality to detect and mark the various high pollutant zone, which would save people from being exposed to hazardous environment. © Springer Nature Switzerland AG 2020.

Department of Software and Systems Engineering

School of Information Technology and Engineering

Vellore Campus

School of Design

Lecture Notes on Data Engineering and Communications Technologies

Managing and Monitoring E-Waste Using Augmented Reality in India

The 2-amino-5-bromopyridinium trifluoroacetate (2A5BPTFA) crystal has been successfully grown by solvent slow evaporation technique. The grown crystal is found to non-centrosymmetric space group Pna21 with orthorhombic crystal system, which has been confirmed from single crystal X-ray diffraction analysis. The crystalline nature of the 2A5BPTFA is supported by powder X-ray diffraction technique. The molecular structure and different functional groups in 2A5BPTFA were confirmed by 1H, 13C NMR and FTIR spectral analyses. The intermolecular charge transfer that occurs in 2A5BPTFA molecule due to the presence of N–H⋯O and C–H⋯O hydrogen bondings have been studied by Hirshfeld surface analysis. From the UV–Vis absorption and photoluminescence spectra, the lower cutoff wavelength and emission peak are found to be 364 nm and 392 nm, respectively. In addition, the optical band gap of grown crystal has been calculated as 3.47 eV. Powder second harmonic generation efficiency of the crystal is observed to be 2.44 times greater than that of potassium dihydrogen phosphate. A positive photoconducting nature and low dielectric constant values have been obtained from photoconductivity and dielectric studies. From the Z-scan study reveals the self-defocusing nature of the grown crystal. Optical limiting study shows the optical limiting response of 2A5BPTFA crystal. In addition, the intermolecular charge transfer interactions and existence of N–H⋯O hydrogen bonding of the 2A5BPTFA have been confirmed by density functional theory methods and are discussed in detail. © 2019 Elsevier Ltd

World University root node

Department of Biotechnology

School of Bio Sciences and Technology

Physics

School of Advanced Sciences

Chennai Campus

Journal of Physics and Chemistry of Solids

Experimental and quantum chemical studies on SHG, Z-scan and optical limiting investigation of 2-amino-5-bromopyridinium trifluoroacetate single crystal for optoelectronic applications

The automated brain tumor segmentation methods are challenging due to the diverse nature of tumors. Recently, the graph based spectral clustering method is utilized for brain tumor segmentation to make high-quality segmentation output. In this paper, a new Walsh Hadamard Transform (WHT) texture for superpixel based spectral clustering is proposed for segmentation of a brain tumor from multimodal MRI images. First, the selected kernels of WHT are utilized for creating texture saliency maps and it becomes the input for the Simple Linear Iterative Clustering (SLIC) algorithm, to generate more precise texture based superpixels. Then the texture superpixels become nodes in the graph of spectral clustering for segmenting brain tumors of MRI images. Finally, the original members of superpixels are recovered to represent Complete Tumor (CT), Tumor Core (TC) and Enhancing Tumor (ET) tissues. The observational results are taken out on BRATS 2015 datasets and evaluated using the Dice Score (DS), Hausdorff Distance (HD) and Volumetric Difference (VD) metrics. The proposed method produces competitive results than other existing clustering methods. © 2019 AGBM

Department of Digital Communications

IRBM

Walsh Hadamard Transform for Simple Linear Iterative Clustering (SLIC) Superpixel Based Spectral Clustering of Multimodal MRI Brain Tumor Segmentation

Purpose: This paper aims to focus on research work related to metamaterial-based sensors for material characterization that have been developed for past ten years. A decade of research on metamaterial for sensing application has led to the advancement of compact and improved sensors. Design/methodology/approach: In this study, relevant research papers on metamaterial sensors for material characterization published in reputed journals during the period 2007-2018 were reviewed, particularly focusing on shape, size and nature of materials characterized. Each sensor with its design and performance parameters have been summarized and discussed here. Findings: As metamaterial structures are excited by electromagnetic wave interaction, sensing application throughout electromagnetic spectrum is possible. Recent advancement in fabrication techniques and improvement in metamaterial structures have led to the development of compact, label free and reversible sensors with high sensitivity. Originality/value: The paper provides useful information on the development of metamaterial sensors for material characterization. © 2018, Emerald Publishing Limited.

Department of Communication Engineering

School of Electronics Engineering

Department of Sensor and Biomedical Technology

Sensor Review

A review: metamaterial sensors for material characterization

Department of Energy and Power Electronics

School of Electrical Engineering

VIT Unitversity

Journal of Optics

Current–voltage characteristics of new organic natural dye extracted from Terminalia chebula for dye-sensitized solar cell applications

Human activity recognition and video analysis is quite an interesting field and is relevant to a number of research areas. A plethora of applications like (active) video surveillance systems, human-computer interaction, medical analysis, sports (video) interpretation, and video retrieval for content-based search engines depend on extensive video understanding. To determine human actions in highly controlled environments is quite simple and solved; however, this task still remains to be a challenge in an unconstrained environment. In this paper, a temporal super-pixel based convolutional neural network (TS-CNN) is proposed to recognize human activity for enabling real-time monitoring of patients, children, and elderly persons in an unconstrained environment. For every video segment, temporal super-pixels are extracted and output of these pathways are combined with CNN architecture to correctly recognize the human activity. The performance of the proposed method (measured by metrics like accuracy and confusion matrix) is compared with the existing model. © 2019, Springer Nature Singapore Pte Ltd.

Communications in Computer and Information Science

Temporal Super-Pixel Based Convolutional Neural Network (TS-CNN) for Human Activity Recognition in Unconstrained Videos

Background: Virtual reality (VR) has several applications in the medical domain and also generates a secure environment to carry out activities. Evaluation of the effectiveness of VR among older populations revealed positive effects of VR as a tool to reduce risks of falls and also improve the social and emotional well-being of older adults. The decline in physical and mental health, the loss of functional capabilities, and a weakening of social ties represent obstacles towards active aging among older adults and indicate a need for support. Existing research focused on the effects of VR among older populations, and its uses and benefits. Our study investigated the acceptance and use of VR by the elderly. Methods: This pilot study was conducted on 30 older adults who voluntarily participated during March to May 2018. Nine VR applications that promote physical activities, motivate users, and provide entertainment were chosen for this study. Participants were asked to use any one of the applications of their choice for 15 min twice a week for 6 weeks. At the end of 6 weeks, participants were asked to fill out a questionnaire based on the Technology Acceptance Model and a literature review, to evaluate their acceptance of VR technology. Cronbach's alpha reliability analysis was used to test the internal consistency of the questionnaire items. Pearson's product moment correlation was used to examine the validity of the questionnaire. A linear regression and mediation analysis were utilized to identify relationships among the variables of the questionnaire. Results: In total, six male and 24 female participants aged 60~95 years volunteered to participate in the study. Perceived usefulness, perceived ease of use, social norms, and perceived enjoyment were seen to have had significant effects on the intention to use VR. Participants agreed to a large extent regarding the perceived usefulness, perceived enjoyment, and their experience of using VR. Thus, VR was seen to have high acceptance among this elderly population. Conclusions: Older people have positive perceptions towards accepting and using VR to support active aging. They perceived VR to be useful, easy to use, and an enjoyable experience, implying positive attitudes toward adopting this new technology. © 2019 The Author(s).

Fulltext

BMC Geriatrics

Virtual reality among the elderly: A usefulness and acceptance study from Taiwan

A new molecular adduct namely, 4-(dimethylamino)benzaldehyde 4-nitrophenol (4DMAB4NP), has been synthesized through crystal engineering route by reacting 4-(dimethylamino)benzaldehyde and 4-nitrophenol in equimolar ratio. This hydrogen bonded material is found to have crystallized with centrosymmetric space group of P21/c at room temperature (RT) and making it appropriate for third order nonlinear optical (TONLO) applications. The different kinds of functional groups existing in the 4DMAB4NP were recorded and assigned through FTIR and NMR spectral studies. Thermal behavior of 4DMAB4NP was analyzed through TGA and DTA analyses. Its solubility in toluene solvent was measured to obtain high quality single crystals. The 4DMAB4NP single crystals were characterized for their laser damage threshold, TONLO properties and optical limiting behavior. Further, the dielectric behavior of 4DMAB4NP single crystal were also investigated as a function of temperature (313–343 K). In addition, density functional studies of 4DMAB4NP molecule in gaseous phase were accomplished at the B3LYP/6–311++G (d, p) basis function. Finally, 3-D Hirshfeld surface maps and the 2-D fingerprint diagram were generated for the title molecule by using crystal explorer 3.1 program. © 2018 Elsevier B.V.

Journal of Molecular Structure

Synthesis, structural, spectral, third order nonlinear optical and quantum chemical investigations on hydrogen bonded novel organic molecular adduct 4-(dimethylamino)benzaldehyde 4-nitrophenol for opto-electronic applications

School of Computer Science and Engineering

The title material was grown by slow evaporation solution growth technique using methanol as solvent. Single crystal X-ray diffraction study revealed that the material belongs to triclinic crystal system with space group P1¯. Powder XRD measurements was explored to identify strain present in the grown crystal. The presence of functional groups was identified from FTIR spectral analysis. From the UV–vis-NIR spectral study, refractive index and extinction coefficient were determined. The theoretical band gap values found from density functional theory shows discrepancy with that of the experimental value. The close contact interactions are identified from Hirshfeld surface analysis. Moreover, solid-state parameters were evaluated for the grown crystal. The dielectric constant and dielectric loss of the crystal were measured as a function of frequency and temperature. The luminescent property of title crystal was investigated and the results are discussed. © 2019 The Physical Society of the Republic of China (Taiwan)

Chinese Journal of Physics

Synthesis, structural, frontier molecular orbitals, Hirshfeld analysis and luminescence properties of an organic 2-amino-4, 6-dimethoxypyrimidine 4-methylbenzenesulfonic acid monohydrate single crystal