(SoE) School of Engineering

<p>Shiv Nadar University is a comprehensive, multidisciplinary, research-focused, and student-centric University offering a full range of academic programs at the undergraduate, postgraduate and doctoral level. With state-of-the-art infrastructure, the University comprises of academic wings, sophisticated labs, international standard sports facilities, amphitheaters, auditorium, conference rooms and smart classrooms. The University&rsquo;s goal is to become internationally recognized for the quality of its research and creative endeavors and their applicability to improving quality of life, generating new insights and expanding the boundaries of human knowledge creativity. Committed to excellence in teaching, research and service, the University aims to serve the higher education needs of India and the world beyond.</p>

Shiv Nadar University

The authors regret that: (1) the footnote (a) in Tables 4a, 5a, 4b and 5b requires an amendment due to insufficient information on the sources of RfC, and (2) the RfC values of Cd and Hg listed in Table 5a are not consistent with those in Table 4a due to an oversight. (1) The amended footnote (a) in 4a and 5a is given below: aThe inhalation reference concentration (RfC) values of Be and Hg were obtained from US EPA Integrated Risk Information System (IRIS) (www.epa.gov/iris), and that of Cd from the California EPA, the office of Environmental Health Hazard Assessment (OEHHA) (https://oehha.ca.gov). The RfC of Pb was not established by the US EPA. Instead, the US EPA Ambient Air Quality Standard set for Pb (0.15 μg/m3) was considered to be the RfC value by the authors.(2) The amended footnote (a) in 4b and 5b is given as follows: aThe unit risk factor (URF) values of As, Cd, Cr(VI), and Ni were obtained from the US EPA Integrated Risk Information System (IRIS) (www.epa.gov/iris), and those of Be, and Pb from the California EPA, the office of Environmental Health Hazard Assessment (OEHHA) (https://oehha.ca.gov). The correct RfC values (mg/m3) of Cd, and Hg included in Table 5a are 2.0 × 10− 5 (instead of 2.1 × 10− 5), and 3.0 × 10− 4 (instead of 3.2 × 10− 5), respectively as they appear in Table 4a.The authors apologize for any inconvenience caused. © 2017

Civil Engineering

World University root node

Science of the Total Environment

Corrigendum to “Human health risk associated with exposure to toxic elements in mainstream and sidestream cigarette smoke” [Sci. Total Environ. 472, 947 − 956, 2014](S0048969713013466)(10.1016/j.scitotenv.2013.11.063)

Triboelectric nanogenerators (TENGs) harvest and convert mechanical energy to electrical energy. TENGs that are transparent and flexible can be applied to various (opto-)electronic devices supporting finger- or pen-based touchscreen inputs. This paper presents a transparent, flexible TENG that harvests mechanical tapping energy (typically discarded) by simple placement on touchscreen devices. The developed TENG consists of flexible and transparent conducting electrodes (FTCE) with high transmittance (> 93%) and low sheet resistance (18.5 Ω/sq), and transparent 3D-hierarchical polydimethylsiloxane (PDMS) with porous pyramid-patterns. In this study, the developed TENG directly powered eight light-emitting diodes (LEDs) by harvesting the mechanical energy produced by tapping with a touch pen while playing a smartphone game. We also used the transparent TENG as a transparent single-electrode-based, self-powered raindrop detection sensor on a window for a smart home. Our results indicate that the proposed TENG can be used not only as an effective mechanical energy harvester for transparent, flexible, and next-generation optoelectronics devices but also as a self-powered sensor for future Internet-of-Things applications. © 2018 Elsevier Ltd

Chemical Engineering

Nano Energy

Transparent-flexible-multimodal triboelectric nanogenerators for mechanical energy harvesting and self-powered sensor applications

Efficient and precise classification of histological cell nuclei is of utmost importance due to its potential applications in the field of medical image analysis. It would facilitate the medical practitioners to better understand and explore various factors for cancer treatment. The classification of histological cell nuclei is a challenging task due to the cellular heterogeneity. This paper proposes an efficient Convolutional Neural Network (CNN) based architecture for classification of histological routine colon cancer nuclei named as RCCNet. The main objective of this network is to keep the CNN model as simple as possible. The proposed RCCNet model consists of 1, 512, 868 learnable parameters which are significantly less compared to the popular CNN models such as AlexNet, CIFAR-VGG, GoogLeNet, and WRN. The experiments are conducted over publicly available routine colon cancer histological dataset 'CRCHistoPhenotypes'. The results of the proposed RCCNet model are compared with five state-of-the-art CNN models in terms of the accuracy, weighted average F1 score and training time. The proposed method has achieved a classification accuracy of 80.61% and 0.7887 weighted average F1 score. The proposed RCCNet is more efficient and generalized in terms of the training time and data over-fitting, respectively. © 2018 IEEE.

Computer Science and Engineering

2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018

RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification

Topic lifecycle analysis on Twitter, a branch of study that investigates Twitter topics from their birth through lifecycle to death, has gained immense mainstream research popularity. In the literature, topics are often treated as one of (a) hashtags (independent from other hashtags), (b) a burst of keywords in a short time span or (c) a latent concept space captured by advanced text analysis methodologies, such as Latent Dirichlet Allocation (LDA). The first two approaches are not capable of recognizing topics where different users use different hashtags to express the same concept (semantically related), while the third approach misses out the user’s explicit intent expressed via hashtags. In our work, we use a word embedding based approach to cluster different hashtags together, and the temporal concurrency of the hashtag usages, thus forming topics (a semantically and temporally related group of hashtags). We present a novel analysis of topic lifecycles with respect to communities. We characterize the participation of social communities in the topic clusters, and analyze the lifecycle of topic clusters with respect to such participation. We derive first-of-its-kind novel insights with respect to the complex evolution of topics over communities and time: temporal morphing of topics over hashtags within communities, how the hashtags die in some communities but morph into some other hashtags in some other communities (that, it is a community-level phenomenon), and how specific communities adopt to specific hashtags. Our work is fundamental in the space of topic lifecycle modeling and understanding in communities: it redefines our understanding of topic lifecycles and shows that the social boundaries of topic lifecycles are deeply ingrained with community behavior. © Springer International Publishing AG, part of Springer Nature 2018.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Topic lifecycle on social networks: Analyzing the effects of semantic continuity and social communities

The interaction of an elastic structure such as an airfoil and fluid flow can give rise to nonlinear phenomenon such as limit cycle oscillations, period doubling or chaos. These phenomena are indicated by a change in the stability behaviour of the dynamical known as bifurcations. Presence of viscous effects in the fluid flow can give rise to flow separation which causes a stability change in the system that is identified to happen via a Hopf bifurcation. In such cases, the airfoil exhibits limit cycle oscillations which are torsionally dominant, known as stall flutter. Despite identifying the route to stall flutter under uniform flow conditions, investigating a stall problem under stochastic wind has received minimal attention. The ability of fluctuating flows to change the stability boundaries and disrupt the route to flutter, compels the need to carry out a stochastic analysis of stalling airfoils. Study of stall flutter in such systems under the influence of a time varying sinusoidal gust is undertaken and the route to flutter is identified by carrying out a stochastic bifurcation analysis. © The Authors, published by EDP Sciences, 2018.

Mechanical Engineering

Fulltext

MATEC Web of Conferences

Identifying route to stall flutter through stochastic bifurcation analysis

This paper presents the modelling and analysis of graphene based monopole antennas for Terahertz (THz) Band communications in micro-networks. Graphene is used as a conductor for radiating patch and ground in monopole antenna structures. Polyimide of thickness 143 μm is used as substrate with relative permittivity of 3.5. Two types of antennas were modelled; one is narrowband resonating at 0.1 THz and the other is wideband operating in 0.030-0.117 THz band. The second antenna has broader impedance bandwidth (>10\%) in the band of operation. © 2018 IEEE.

Electrical Engineering

2018 International Conference On Advances in Communication and Computing Technology, ICACCT 2018

Graphene Based Monopole Terahertz Antennas on Polyimide Substrate

Perovskite based photovoltaic (PV) devices have gained enormous importance due to their high power conversion efficiencies and ease of fabrication (solution processing). Conventionally, flexible solar cells have been reported on substrates like PET and PEN. Corning® Willow® Glass, owing to its superior processability and oxygen and moisture barrier property, is a potential replacement for these substrates. In this work, devices fabricated on Willow Glass substrates have been subjected to bending and fatigue tests to assess their worthiness as substrates for flexible solar cells. © 2018 IEEE.

2018 4th IEEE International Conference on Emerging Electronics, ICEE 2018

Flexural and bending fatigue studies of perovskite solar cells on Willow Glass substrates

Critical Read Stability (TREAD) and Critical Writeability (TWRITE) are two SRAM metrics which can characterize the dynamic behavior of read and write operations. In this paper, the impact of NBTI on TREAD and TWRITE is shown. Worst-case use conditions are identified by varying the relative degradation of the two p-FETs. Monte-Carlo simulations using foundry models (High-k Metal Gate planar MOSFET) are performed to analyze time-zero variability for different use conditions. The dynamic metrics TREAD and TWRITE are correlated with static metrics SVNM and BWTV respectively for worst-case use conditions. Degradation trend of TREAD and TWRITE is then discussed for worst and symmetric NBTI degradation cases by varying ΔVTH. © 2018 IEEE.

INDICON 2018 - 15th IEEE India Council International Conference

Analyzing Impact of NBTI and Time-Zero Variability on Dynamic SRAM Metrics

With an alarming increase in obesity levels, even among children and adolescents, there is a need to take steps for increasing their motivation and overall physical activity levels. This paper proposes a way for concerned authorities in a school, to easily keep track of each student's physical activity during school hours and give feedback accordingly. The system uses a portable pedometer that includes a MPU6050 sensor module that uses an accelerometer and gyroscope to collect movement data from each student and stores it, via Wi-Fi communication on to the Thingspeak server. The system implements a k-NN algorithm that classifies the data for each student into activities of sitting, walking, running and cycling. The results of the analysis and feedback for each student are accessible through a web portal, hosted locally on a server located in the school premises. © 2018 IEEE.

Actiotracker: A Smart Pedometer for Monitoring and Analyzing Physical Activities of School Children

In this letter, we report on achieving significantly high (6×) sheet charge density (ns) in MgZnO/CdZnO heterostructure, as compared with that in MgZnO/ZnO, at lower Mg (≤ 0.15) compositions in barrier MgZnO layer, with both heterostructures grown by dual ion beam sputtering technique. Buffer CdZnO and barrier MgZnO layers are probed separately to investigate carrier density in defect prone sputtered layers. Capacitance-voltage measurement and temperature-dependent Hall measurement confirm the presence of quantum confined carrier density at barrier-buffer interface, suggesting that the enhancement in carrier densities in the heterostructure over individual layers is probably due to the formation of 2-D electron gas (2-DEG). © 1980-2012 IEEE.