Design and analysis of text document clustering using salp swarm algorithm

The Journal of Supercomputing - In the technological era, exponential increase of unorganized text documents offers increased difficulties retrieving the most relevant data. The document clustering...     

Quality of Service Enhancement in Wireless Sensor Network Using Flower Pollination Algorithm

Programming and Computer Software - One of the renowned and drastically rising research works is developing and deploying emerging applications under wireless sensor networks. Surveillance...     

Optimal settings for vision camera calibration

As machine vision system has significant applications in computerized inspection systems, the precise calibration of it is essential to enhance its application potential. The parameters, namely, illumination intensity, length of extender tube, number of control points, and region of interest influence the accuracy and repeatability of calibration. The objective of this study is to determine the optimal settings of the parameters in the operating environment that will maximize the performance of the machine vision system. This paper considers the above-mentioned four factors as the influencing parameters on accuracy and repeatability of calibration and distorted image plane error (DIPE) as a measure of its performance. The Taguchi method-based orthogonal array is applied to evolve the independent optimal settings and the percentage contributions of various parameters on accuracy and repeatability. In addition to the independent optimization, the settings for simultaneous optimization of accuracy and repeatability are evolved with desirability function, total loss function, and Taguchi quality loss function. The optimal settings under independent and simultaneous cases are analyzed and reported.     

The combined effects of molar concentration of the precursor solution and fluorine doping on the structural and electrical properties of tin oxide films

Undoped and fluorine doped tin oxide (FTO) films have been fabricated by employing a simplified and inexpensive spray technique using perfume atomizer at comparatively lesser substrate temperature (320 °C). The combined effects of molar concentration of the precursor solution and fluorine doping on the structural and electrical properties of tin oxide films have been reported. The X-ray diffraction studies of undoped films revealed that the interstitial incorporation of Sn atoms can be controlled by employing this simple spray pattern and process conditions. The electrical studies showed that, in governing the variation in sheet resistance, the role of substitutional incorporation of F⁻ ions is predominant over the oxygen vacancies in the case of FTO films deposited from solutions having lower precursor concentration, whereas in the case of higher concentrations the role of oxygen vacancies is predominant. The quantitative results of energy dispersive X-ray analysis (EDAX) and the variations in the Fourier transform infrared (FTIR) peaks are presented as strong evidences for the above observations.     

Routing Using Genetic Algorithm in a Wireless Sensor Network

In this paper we probe the routing algorithm that maximizes the quality of the network. In this regard, we present various scenarios for comparisons among different routing algorithms in a wireless sensor network. Using simulations conducted in NS-2, we compare the performance of genetic algorithm (GA) to the Dijkstra algorithm, Ad hoc On-Demand Distance Vector (AODV), GA-based AODV Routing (GA-AODV), grade diffusion (GD) algorithm, directed diffusion algorithm and GA combined with the GD algorithm. We assume the presence of faulty nodes and work on finding out the performance that enhances the lifespan of the sensor network. In this regard, we have simulated routing algorithms while considering faulty nodes up to 50% of the functioning nodes. Nodes are considered to be dynamic and we assumed different mobility speeds of the nodes. Our results demonstrate that GA can be used in different network configurations as it shows a better performance in the wireless sensor network.

     

Development of highly conductive hybrid Ni-biocarbon-based polyvinyl alcohol composites for microwave shielding properties

In this study a highly flexible microwave shielding material was fabricated by solution casting method utilizing Nickel and biocarbon particles in PVA matrix and characterized for mechanical, magnetic, and microwave shielding properties. The main aim of this study was to prove the significant role of magnetic particles in electromagnetic interference (EMI) shielding along with conductive particles. The results show that the addition of Ni-biocarbon hybrid particle increases the shielding properties up to 56.5 dB at 20 GHz. The magnetic permeability increased gradually with the inclusion of Ni particles with a highest magnetization, coercivity, and retentivity of 1250 E⁻⁶ emu, −9000 G, and 1100 E⁻⁶ emu. Similarly the mechanical results show that adding biocarbon enhances the composite's mechanical properties. A highest tensile strength, tear strength, elongation, and hardness are noted as 38, 168 MPa, 18.4%, and 36 Shore-D. Comparatively, the hardness and elongation% of composite designations contains 3 and 5 vol% of hybrid particles have increased by 9% and 26%, respectively, in comparison to composite containing only 5 vol% of biocarbon with PVA. Scanning electron microscope fractography indicates biocarbon particles reduce voids and improve adhesion. These flexible EMI shielding composites could be used in telecommunication and other wave transmitting devices in engineering applications.