Nitte Meenakshi Institute of Technology

About: Nitte Meenakshi Institute of Technology is a based out in . It is known for research contribution in the topics: Computer science & Ultimate tensile strength. The organization has 846 authors who have published 644 publications receiving 2702 citations.

Talking hands — An Indian sign language to speech translating gloves

Abstract: According to the recent statistics about 7.5% of Indians are speech challenged and 5.8% of the population is hearing impaired and Indian Sign Language is the only mode of communication used by them. In this paper we have presented an approach that gives a technique for improving Sign Language Recognition system. In the proposed method; we will be using sensors which are incorporated on a glove to detect the gestures and convert it to speech with the help of a Bluetooth module and an Android Smart Phone. The gloves will help in producing artificial speech which provides an environment similar to daily communication which is hard to achieve for speech impaired people.

The Effect on the Dry Sliding Wear Behavior of Gravity Cast A357 Reinforced with Dual Size Silicon Carbide Particles

Abstract: In the present study, the composites of A357 (Al-7%Si) alloy reinforced with the bimodal sizes (~250µm (L) and ~38 µm (S)) of 6wt% SiCp and the A357 alloy were prepared by permanent mould die casting. Three different combinations of bimodal distributions were considered: (3% L + 3% S, 4% L + 2% S, and 2% L + 4% S). The wear behavior of the alloy and the composites was studied for the speed of 1 m/s and load conditions of 10-30 N with an interval of 5 N in a pin on disc apparatus. The hardness and microstructure of the composites were also characteristised. The results suggest that the addition of bimodal size of particles significantly improves the hardness and wear resistance of the alloy. Among the different combinations, the 4% L + 2% S bimodal distribution combination provides the highest wear resistance and the hardness. This result indicates that the higher amount of large size particles are more important than that of small size particles to improve the wear resistance, which implies that the particle decohesion is the rate controlling step in the present investigation. The wear rate increases with an increase of load and sliding distance. The critical load to enter into the severe wear regime for the alloy and composites is 25 N. The rapid wear loss begins above 1500 m sliding distance in the composites and the as cast alloy. The wear rate curve with respect to the sliding distance shows three regimes (1) transition period (2) steady state (3) severe wear state. The wear morphology studies show that the abrasive wear is the main wear mechanism in the bimodal size composites whereas the delamination wear is predominant in the alloy.

Free Vibration Analysis of Graphene Platelets–Reinforced Composites Plates in Thermal Environment Based on Higher-Order Shear Deformation Plate Theory

Abstract: As a first endeavor, this article presents the free vibration of composite plates reinforced with graphene platelets (GPLs) based on the higher-order shear deformation plate theory. Moreover, it is assumed that the material properties are temperature dependent and are graded in the thickness direction. It is assumed that GPLs randomly spread out in each individual composite layer reinforced with graphene platelets. The theoretical formulation is derived based on higher-order shear deformation plate theory and the initial thermal stresses are evaluated by solving the thermo-elastic equilibrium equations. The Halpin–Tsai micromechanical model is used to evaluate the effective material properties of every layer of composite plates reinforced GPLs. Further, the Navier solution has been used to derive the governing equations of motion and evaluate the natural frequencies and dynamic response of simply supported graphene platelet reinforced composite plates. Four different GPL distribution pattern is modeled to find out its effect on the frequency of the plate and the other parameters. The result asserted that subjoining GPL to composite plates has a significant reinforcing effect on the free vibration of Graphene platelet reinforced composite (GPLRC) plates.

A review on the prominence of porosity in tungsten oxide thin films for electrochromism

Abstract: Transition metal oxides have gained substantial attention in the previous decade by virtue of their distinctive physical and chemical properties. Amidst all, tungsten oxide (WO3) is emerging as distinct metal oxide on account of its outstanding electrochromic performance. Furthermore, optical-switching speed has topmost importance in the actual device. The sole approach to enhance this attribute is to escalate surface area of the electrochromic coatings, which can be done by instigating porosity within bulk material. Porosity can be considered as one of the pivotal facets of functionalized electrochromic thin films. Cations can be made to get transported into the depth of the host with the presence of high porosity in a structure. This featured article is attempting to pivot the path as how porosity is upgrading the electrochromic attribute of WO3 films. Furthermore, various methods to achieve optimum porosity of WO3 films leading to best electrochromic performance are also discussed.

Threshold Based Auto Scaling of Virtual Machines in Cloud Environment

Abstract: Cost effectiveness is one of the reasons behind the popularity of Cloud. By effective resource utilization cost can be further reduced and resource wastage can be minimized. The application requirement may vary over time depending on many factors (for instance load on the application); user may run different types of application (a simple MS word to complex HPC application) in a VM. In such cases if the VM instance capacity is fixed there is a high possibility of mismatch between the VM capacity and application resource requirement. If the VM capacity is more than the application resource requirement then resource will be wasted; if the VM capacity is less than the application resource requirement then the application performance will degrade. To address these issues we are proposing threshold based auto scaling of virtual machines in which VMs will be dynamically scaled based on the application resource utilization (CPU and Memory). Using our approach effective resource utilization can be achieved.