Driver distraction detection using capsule network

Neural Computing and Applications - With the onset of the new technological age, the distractions caused due to handheld devices have been a major cause of traffic accidents as they affect the...     

Impact of Particle Size on Room Temperature Ferrimagnetism of SrFe<Subscript>12</Subscript>O<Subscript>19</Subscript>

In this paper, we report the control of important hysteresis parameters, which are useful for memory devices, viz. M _s , H _c and M _r /M _s , by changing the particle size/calcination temperature. An investigation of SrFe₁₂O₁₉ nanopowder from the structural and magnetic aspect is performed using X-ray diffraction (XRD), High Resolution Transmission Electron Microscopy (HRTEM), Scanning Electron Microscopy (SEM) and Vibrating Sample Magnetometer (VSM). The average particle size (APS) of SrFe₁₂O₁₉(nanopowder) increases from 26 to 600 nm with calcination temperatures of 400 and 1100 °C in air, respectively. With the increase in calcination temperature, saturation magnetization (M _s ) increases with the decrease in coercivity for the respective sample. The change in saturation magnetization and coercive field are explained on the basis of transition from single domain structure to multi-domain geometry with an increase in the heating temperature. The sample heated at 1000 °C shows a minimum coercive field (2.71 kOe) and an appropriate squareness ratio (M _r /M _s ) compared to other calcined samples.     

On Symmetric Circuits and Fixed-Point Logics

We study properties of relational structures, such as graphs, that are decided by families of Boolean circuits. Circuits that decide such properties are necessarily invariant to permutations of the elements of the input structures. We focus on families of circuits that are symmetric, i.e., circuits whose invariance is witnessed by automorphisms of the circuit induced by the permutation of the input structure. We show that the expressive power of such families is closely tied to definability in logic. In particular, we show that the queries defined on structures by uniform families of symmetric Boolean circuits with majority gates are exactly those definable in fixed-point logic with counting. This shows that inexpressibility results in the latter logic lead to lower bounds against polynomial-size families of symmetric circuits.

     

A new computational approach for edge-preserving image decomposition

Multimedia Tools and Applications - Decomposition of an image into its cartoon part and texture part has been an interesting area of research. It is an important pre-processing step in many...     

Modified online Newton step based on elementwise multiplication

The second-order method using a Newton step is a suitable technique in online learning to guarantee a regret bound. The large data are a challenge in the Newton method to store second-order matrices such as the hessian. In this article, we have proposed a modified online Newton step that stores first- and second-order matrices of dimension m (classes) by d (features). We have used elementwise arithmetic operations to maintain the size of matrices. The modified second-order matrix size results in faster computations. Also, the mistake rate is on par with respect to popular methods in the literature. The experimental outcome indicates that proposed method could be helpful to handle large multiclass datasets on common desktop machines using second-order method as the Newton step.     

Synergistic influence of barium hexaferrite nanoparticles for enhancing the EMI shielding performance of GNP/epoxy nanocomposites

Journal of Materials Science - In this work, the electromagnetic interference (EMI) shielding performance of epoxy composites containing barium hexaferrite (BaM) nanoparticles and graphene...     

Synthesis of iron-copper alloy using electrical discharge machining

The present work investigates the novel route for the synthesis of Fe-Cu alloy using electric discharge machining (EDM). The Synthesis of Fe-Cu alloy is difficult by equilibrium processes because of their immiscible nature. An attempt was made to investigate the synthesis of Fe-Cu alloy by EDM process where the discharge can lead to a very high temperature and subsequent quenching to result in alloy formation. The electrode was made up of copper and die steel was used as workpiece. The characterization of generated debris was carried out by X-ray diffraction analysis, scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS) and transmission electron microscopy (TEM). The nano-phase granular particles of Fe-Cu alloy were confirmed by TEM and selected area diffraction pattern analysis. SEM morphology results reveal that the generated particles were both, spherical and non-spherical shape and size ranging between 50?nm and 30?µm. The EDS analysis indicates that the spherical particles were Fe-rich and non-spherical particles were Cu-rich.     

Intrinsic Bayesian Active Contours for Extraction of Object Boundaries in Images

We present a framework for incorporating prior information about high-probability shapes in the process of contour extraction and object recognition in images. Here one studies shapes as elements of an infinite-dimensional, non-linear quotient space, and statistics of shapes are defined and computed intrinsically using differential geometry of this shape space. Prior models on shapes are constructed using probability distributions on tangent bundles of shape spaces. Similar to the past work on active contours, where curves are driven by vector fields based on image gradients and roughness penalties, we incorporate the prior shape knowledge in the form of vector fields on curves. Through experimental results, we demonstrate the use of prior shape models in the estimation of object boundaries, and their success in handling partial obscuration and missing data. Furthermore, we describe the use of this framework in shape-based object recognition or classification.     

Gray wolf optimizer approach to the reliability‐cost optimization of residual heat removal system of a nuclear power plant safety system

To ensure the safety of nuclear power plants (NPPs), nuclear regulatory agencies set technical specifications (TSs). TSs define the safety‐related operational measures and specify essential requirements and set specific limitations that is necessarily be followed by a nuclear industry to meet the requirements for the safety of an NPP. One of the important bases for the setting of TSs is the estimates of the availability and reliability of various systems and costs associated with an NPP. In this work, authors have presented a framework based upon a hodiernal nature‐inspired metaheuristic called multiobjective gray wolf optimizer (MOGWO) algorithm, which mimic the hierarchal and hunting behavior of gray wolves (Canis lupus), for technical specifications optimization of residual heat removal system (RHRS) of an NPP safety system. The efficiency of MOGWO in optimizing the TSs is demonstrated by comparing its results with a very popular swarm‐based optimization technique named multiobjective particle swarm optimization (MOPSO).     

A Note on Negligible Functions

In theoretical cryptography, one formalizes the notion of an adversary's success probability being ``too small to matter' by asking that it be a negligible function of the security parameter. We argue that the issue that really arises is what it might mean for a collection of functions to be ``negligible.' We consider (and define) two such notions, and prove them equivalent. Roughly, this enables us to say that any cryptographic primitive has a specific associated ``security level.' In particular we say this for any one-way function. We also reconcile different definitions of negligible error arguments and computational proofs of knowledge that have appeared in the literature. Although the motivation is cryptographic, the main result is purely about negligible functions.