Frame selection for OCR from video stream of book flipping

Multimedia Tools and Applications - Optical Character Recognition (OCR) in video stream of flipping pages is a challenging task because flipping at random speed causes difficulties in identifying...     

Efficient localization of target in large scale farmland using generalized regression neural network

Although simple to implement, the traditional trilateration technique is generally associated with significant location estimation errors because of highly nonlinear relationship between Received Signal Strength Indicator (RSSI) and distance. In case of agricultural farmland, there is always noise uncertainty in the RSSI measurements because of signal propagation issues such as NLOS, multipath propagation, and reflection. In the context of such environmental dynamicity, the localization algorithm must be efficient in terms of Localization Accuracy and Execution Speed to provide real‐time performance. The Generalized Regression Neural Network (GRNN) is a noniterative highly parallel neural architecture with the capability to get trained quickly using very few training samples. This paper introduces a range free GRNN localization algorithm as an alternative to the traditional range‐based trilateration technique for a large scale wheat farmland. This paper also presents the modified Optimal Fitted Parametric Exponential Decay Model (OFPEDM)‐based signal path loss model to deal with the issue of environmental dynamicity. The evaluation of localization performance of the trilateration and the proposed GRNN‐based approaches is carried out with the help of Wireless Sensor Network (WSN) using three path loss models, namely, Log Normal Shadow Fading (LNSM), Original OFPEDM, and proposed Modified OFPEDM. For all these implementations, the proposed GRNN algorithm demonstrates superior localization performance (localization accuracy of the order of few centimeters) over traditional trilateration irrespective of nonlinear system dynamics, path loss model, and environmental dynamicity. The execution speed of the proposed algorithm is of the order of few milliseconds.     

Uniplanar ACS fed multiband high‐gain antenna with extended rectangular strips for portable system applications

In this article, a compact uniplanar asymmetric coplanar strip (ACS)‐fed multiband antenna with extended rectangular strips is proposed for portable system applications. It is composed of a modified mouse and rectangular‐shaped radiating strip for generating three resonance frequency bands simultaneously. The proposed antenna has a compact size of 16 × 26 × 1.6 mm³. Antenna has |S₁₁| ≤ ?10 dB at three independent controlled bandwidths from 2.2 to 2.4 GHz, 3.5 to 3.7 GHz, and 4.85 to 6.85 GHz. The proposed ACS‐fed antenna is suitable for LTE 2300, WiBro 2300 GHz, 5.2/5.8‐GHz WLAN, 3.5/5.5‐GHz WiMAX, 4.9‐GHz US public safety band, and 5.9‐GHz WAVE applications. The antenna has omnidirectional radiation characteristics in the desired frequency bands in both E‐plane and H‐plane. It has better gain value performance compared with other antenna designs discussed in the literature.     

Growth,characterizations, and the structural elucidation of diethyl-2-(3-oxoiso-1,3-dihydrobenzofuran-1-ylidene)malonate crystalline specimen for dielectric and electronic filters,thermal, optical,mechanical, and biomedical applications using conventional experimental and theoretical practices

Journal of Materials Science: Materials in Electronics - The single crystals of diethyl-2-(3-oxoiso-1,3-dihydrobenzofuran-1-ylidene) malonate (D23DYM) were grown successfully and efficiently by the...     

Online Delay Estimation and Adaptive Compensation in Wireless Networked System: An Embedded Control Design

International Journal of Control, Automation and Systems - In the present work, an embedded PI controller is designed for speed regulation of DC servomotor over a wireless network. The embedded...     

Clustering Algorithm for Deployment of Independent Heterogeneous Wireless Sensor Network

Wireless Personal Communications - Wireless Sensor Network (WSN) is the main element of modern Industrial Internet of Things system in event monitoring. However, WSN is unable to respond for longer...     

A position and rotation invariant framework for sign language recognition (SLR) using Kinect

Multimedia Tools and Applications - Sign language is the only means of communication for speech and hearing impaired people. Using machine translation, Sign Language Recognition (SLR) systems...     

C2OF2N: a low power cooperative code offloading method for femtolet-based fog network

Power and delay aware cloud service provisioning to mobile devices has become a promising domain today. This paper proposes and implements a cooperative offloading approach for indoor mobile cloud network. In the proposed work mobile devices register under femtolet which is a home base station with computation and data storage facilities. The resources of the mobile devices are collaborated in such a way that different mobile devices can execute different types of computations based on cooperative federation. The proposed offloading scheme is referred as cooperative code offloading in femtolet-based fog network. If none of the mobile device can execute the requested computation, then femtolet executes the computation. Use of femtolet provides the mobile devices voice call service as well as cloud service access. Femtolet is used as the fog device in our approach. The proposed model is simulated using Qualnet version 7. The simulation results demonstrate that the proposed scheme minimizes the energy by 15% and average delay up to 12% approximately than the existing scheme. Hence, the proposed model is referred as a low power offloading approach.     

Flexible and free-standing films containing cobalt-doped nanocrystalline zinc oxide dispersed in polyvinylidene fluoride matrix: synthesis and characterization

Polymer Bulletin - Synthesis of free-standing flexible Co-ZnO/PVDF composite films is realized by sol–gel technique. Modulation of the optical and microstructural properties of the above...