(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

Tourist Spot Recommender Systems (TSRS) help users to find the interesting locations/spots in vicinity based on their preferences. Enriching the list of recommended spots with contextual information such as right time to visit, weather conditions, traffic condition, right mode of transport, crowdedness, security alerts etc. may further add value to the systems. This paper proposes the concept of information enrichment for a tourist spot recommender system. Proposed system works in collaboration with a Tourist Spot Recommender System, takes the list of spots to be recommended to the current user and collects the current contextual information for those spots. A new score/rank is computed for each spot to be recommender based on the recommender’s rank and current context and sent back to the user. Contextual information may be collected by several techniques such as sensors, collaborative tagging (folksonomy), crowdsourcing etc. This paper proposes an approach for information enrichment using just in time location aware crowdsourcing. Location aware crowdsourcing is used to get current contextual information about a spot from the crowd currently available at that spot. Most of the contextual parameters such as traffic conditions, weather conditions, crowdedness etc. are fuzzy in nature and therefore, fuzzy inference is proposed to compute a new score/rank, with each recommended spot. The proposed system may be used with any spot recommender system, however, in this work a personalized tourist spot recommender system is considered as a case for study and evaluation. A prototype system has been implemented and is evaluated by 104 real users. © Springer International Publishing Switzerland 2015.

World University root node

Computer Science and Engineering

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

Crowdsourcing based fuzzy information enrichment of tourist spot recommender systems

Immense amount of data containing information about preferences of users can be shared with the help of WWW and mobile devices. The pervasiveness of location acquisition technologies like Global Positioning System (GPS) has enabled the convenient logging of movement histories of users. GPS logs are good source to extract information about user’s preferences and interests. In this paper, we first aim to discover and learn individual user’s preferences for various locations they have visited in the past by analyzing and mining the user’s GPS logs. We have used the GPS trajectory dataset of 178 users collected by Microsoft Research Asia’s GeoLife project collected in a period of over four years. These preferences are further used to predict individual’s interest in an unvisited location. We have proposed a novel approach based on Genetic Algorithm (GA) to model the interest of user for unvisited location. The two approaches have been implemented using Java and MATLAB and the results are compared for evaluation. The recommendation results of proposed approach are comparable with matrix factorization based approach and shows improvement of 4.1% (approx.) on average root mean squared error (RMSE). © Springer International Publishing Switzerland 2015.

Modeling personalized recommendations of unvisited tourist places using genetic algorithms

We consider decentralized power control in fading multiple-access channels (MAC). When compared to a centralized MAC, solving the optimal power control for a decentralized system is difficult even for moderate number of users. Good thumb-rules for decentralized power control are available in literature, which are also asymptotically tight in the number of users. In this paper, we first derive a structural property that any optimal decentralized power control scheme must follow and use this property to suggest a modified power control scheme. Numerical results suggest that the scheme we propose outperforms the existing ones.

Electrical Engineering

2015 21st National Conference on Communications, NCC 2015

Decentralized power adaptation in ergodic fading multiple access channels

The extensional flow of a polymeric fluid during the fibre spinning process is studied for finite-amplitude stability behaviour. The spinning flow is assumed to be inertialess and isothermal. The nonlinear extensional rheology of the polymer is described with the help of the eXtended Pom-Pom (XXP) model, which is known to exhibit a significant strain hardening effect necessary for fibre spinning applications. The linear stability analysis predicts an instability known as draw resonance when the draw ratio, DR, defined as the ratio of the velocities at the two ends of the fibre in the air gap, exceeds a certain critical value, DRc. The critical draw ratio DRc depends on the fluid elasticity represented by the Deborah number, De = λυ0/L, the ratio of the polymer relaxation time to the flow time scale, thus constructing a stability diagram in the DRc-De plane. Here, λ is the characteristic relaxation time of the polymer, υ0 is the extrudate velocity through the die exit and L is the length of the air gap for the spinning flow. In the present study, we carry out a weakly nonlinear stability analysis to examine the dynamics of the disturbance amplitude in the vicinity of the transition point. The analysis reveals the nature of the bifurcation at the transition point and constructs a finite-amplitude manifold providing insight into the draw resonance phenomena. The effect of the fluid elasticity on the nature of the bifurcation and the finite-amplitude branch is examined, and the findings are correlated to the extensional rheological behaviour of the polymer fluid. For flows at small Deborah number, the Landau constant, which captures the role of nonlinearities, is found to be negative, indicating supercritical Hopf bifurcation at the transition point. In the linearly unstable region, the equilibrium amplitude of the disturbance is estimated and shows a limit cycle behaviour. As the fluid elasticity is increased, initially the equilibrium amplitude is found to decrease below its Newtonian value, reaching the lowest value for De when the strain hardening effect is maximum. With further increase in elasticity, the material undergoes strain softening behaviour which leads to an increase in the equilibrium amplitude of the oscillations in the fibre cross-section area, indicating a destabilizing effect of elasticity in this regime. Interestingly, at a certain high Deborah number, the bifurcation crosses over from supercritical to subcritical nature. In the subcritical regime, a threshold amplitude branch is constructed from the amplitude equation. © 2015 Cambridge University Press.

Chemical Engineering

Journal of Fluid Mechanics

Weakly nonlinear stability analysis of polymer fibre spinning

This paper presents the design of printed monopole antenna for various ultra wide band wireless communication applications. Proposed antenna is designed on FR4 substrate of h=1.6mm, relative permittivity 4.4, loss tangent of 0.02, dimension 50 × 50 mm2.The gap between edge of ground plan (back side of antenna) and edge of patch is varied to get different simulated results. The proposed antenna exhibits a 10 dB impedance bandwidth from 3.1 to 10.6 GHz, which constitutes about 109.48 \%. It has been observed that proposed antennas are small in size and simple in design and fabrication but its performance is very good for UWB applications also radiates omnidirectionally over the UWB band defined by Federal Communication Commission. © 2015 ACM.

ACM International Conference Proceeding Series

Design of compact ultra wide band antenna for wireless communication system

This paper presents a temperature and supply compensated sub-threshold voltage reference generator which generates a reference voltage of 173 mV at supply voltage of 0.6 V and temperature @ 27 °C, has been designed in 45 nm CMOS technology. Variation of output voltage with temperature over a range of -25 to 85 °C is 172.88 to 173.25 mV which gives temperature coefficient of 19 ppm/°C at supply voltage of 0.6 V. The variation of output voltage with supply over a range of 0.6 to 1.0 V is 173.20 to 173.85 mV which gives line sensitivity of 0.93 \%/V at temperature 27 °C. The simulated PSRR value of the proposed circuit is approx -55 dB till 1 MHz. © 2014 IEEE.

9th International Conference on Industrial and Information Systems, ICIIS 2014

Feedback driven temperature and supply compensated sub-0.5 v reference generator

Smart grid is capable to produce, distribute, and consume power in the most efficient way. This will allow more power at home and industries at low cost. To achieve above the best communication infrastructure is required to deliver reliable and economical services throughout the grid system. Smart grid can also accommodate power generation from local solar power and power generated through wind turbines. The smart grid also manages to collect data from home appliances using smart meters. It also provides intelligent controls giving more choice to consumers to how to use optimally electricity to save money and to operate electricity network efficiently and reliably. This paper attempts to review the communication and networking of smart grid which includes investigation of network architecture and communication technologies. © 2015 IEEE.

2015 International Conference on Signal Processing and Communication, ICSC 2015

Trends in smart power grid communication and networking

Mechanical Engineering

AIP Conference Proceedings

Preface of the "symposium on analysis and design of multi-functional composite structures"

The impedance based structural health monitoring (SHM) techniques have utilized the electro-mechanical coupling property of piezoelectric materials (piezo-impedance transducers), due to their self-sensing nature (ability to act both as actuators and sensors), and its diminutive in shape and size, cost effectiveness and ease of installation. The adhesive bond acts as an elastic medium which facilitates the transfer of stresses and strains developed due to piezo displacement and also couples the impedance of PZT patch with that of the host structure. The sensitivity of the electro-mechanical impedance (EMI) technique can be enhanced by understanding shear mechanism phenomena of the adhesive layer. This paper reviews the existing shear lag models and discuss the recent advances in impedance based coupled piezo-structural model duly considering the shear lag effect with all responsible piezo-mechanical parameters. © 2015 SPIE.

Civil Engineering

Proceedings of SPIE - The International Society for Optical Engineering

Modelling of shear lag effect for piezo-elstodynamic structure for electro-mechanical imedance technique

A recently developed frequency-modulated thermal wave imaging (FMTWI) has been applied for subsurface defect detection of jute fibre-reinforced polypropylene (PP) matrix composite. Composites are subject to manufacturing and in-service defects like voids, delamination, cracks and so on. Active thermography like lock-in thermography (LT) and pulsed thermography (PT) has been widely used for non-destructive testing of composites and laminates. FMTWI may be viewed as a superposed LT, wherein multiple frequency response is obtained through single measurement. It is very much suitable for newly developed material for which the thermal properties are not well established, thereby impeding the choice of appropriate frequency for conventional LT. In this article, FMTWI is applied to detect and characterize artificially generated subsurface defects in jute-PP composite. The measurements also show the effect of frequency on the depth of defect detection and accuracy. © The Author(s) 2013.