When the cost of energy increases it is important to increase the activities to reduce the energy consumption of the system up to the maximum possible limits. This proposal establishes a very low cost and time saving method to determine efficiency of induction motor at onsite for achieving above mentioned goal. Reduction in energy consumption is achieved by replacing energy efficient motor in the place of old less efficient motor. For auditing purpose pulling out the device from its working environment may cause losses in production in case of industries. On site estimations are helps To resolve such problems this paper describes an onsite method which can capable to estimate the efficiency of new as well as rewound induction motors. Motor’s efficiency computed by this method closely approaches the exact value this thing makes a greater confidence to estimate the saving potential.

Generation of stress, displacement and strain in a universal coupling has been analyzed. Circumferential stress is applied at the yoke slot and also on the hub and simulated separately. The simulation is carried out with the help of SolidWorks 2010. To show the effect of temperature rise due to friction at the yoke slot, thermal load is gradually increased at the slot. The results are demonstrated both in the form of surface contour and graph. It has been showed that friction between yoke slot and hub can increase the temperature, which can eventually increase the thermal stress paving the way to failure of yoke or hub material. It is also found that the hub experiences a larger stress compared to the yoke when loaded under same pressure. Thus, the hub has the higher probability to fail than the yoke. At the end of the paper, some recommendations regarding universal coupling building material and reduction of friction have been made. Finally, the results obtained here are highly accurate and conform to the physical and loading conditions.

Metal matrix hybrid composites (MMHCs) are now gaining their usage in aerospace, automotive and other industries because of their inherent properties like high strength to weight ratio, hardness and wear resistance, good creep behaviour, light weight, design flexibility and low wear rate etc. Al alloy base matrix reinforced with silicon carbide (10%) and graphite (5%) particles was fabricated by stir casting process. The wear and frictional properties of metal matrix hybrid composites were studied by performing dry sliding wear test using pin on disc wear test apparatus. Experiments were conducted based on the plan of experiments generated through Taguchi’s technique. A L9 Orthogonal array was selected for analysis of data. Investigation to find the influence of applied load, sliding speed and track diameter on wear rate as well as coefficient of friction during wearing process was carried out using ANOVA. Objective of the model was chosen as smaller the better characteristics to analyse the dry sliding wear resistance. Results show that track diameter has highest influence followed by load and sliding speed.

Power has become a burning issue in modern VLSI design, as the technology advances especially below 45nm technology, Leakage power become more problem apart of the dynamic power. This paper presents a full adder with novel PMOS and NMOS which consume less power compare to conventional full adder and DTMOS full adder, this paper shows different types of adders and their power consumption, area and delay. All the experiments have been carried out using cadence virtuoso design lay out editor which shows power consumption of different types of adders[1-2].

Visceral Leishmaniasis (VL) is a major health problem in Bihar, India. The disease is caused by a protozoan parasite Leishmania donovani and transmitted by the established vector Phlebotomus argentipes (Diptera: Psychodidae) in India. P. argentipes transmits viral and bacterial pathogens. Nematodes were isolated from the body of P. argentpes for the first time in India. Its role as pathogen is yet to be established.

Background: Polycystic ovary syndrome (PCOS) is the most common reproductive endocrinopathy and currently considered to be a part of the metabolic syndrome. Women with PCOS cluster risk factors associated with risk of atherosclerosis. These risk factors include insulin resistance, dyslipidemia, hyperandrogenemia, obesity, endothelial dysfunction and oxidative stress. homocysteine and paraoxonase 1 in PCOS in two different regimes of treatment with Metformin and Folic acid in order to elucidate some risk factors that may lead to atherosclerosis and vascular diseases in the corresponding patients. Patients and Methods: Fifty patients with PCOS were enrolled in this study that subdivided into two groups according to type of treatment received i.e. G1 (comprising 25 patients) treated with Metformin only, G2 (comprisin25 patients) with Metformin and Folic acid. Serum Homocysteine (Hcy), Paraoxonase 1(PON1) Apolipoprptein A-1(Apo A-1) and Apolipoprotein B(Apo B) were determind by using enzymelinked immunosorbent assay (ELISA). Reduced Glutathion (GSH) and Malondialdehyde (MDA) were determined by using colorimetric method. Results: The results indicated a significant increase in the serum levels of Hcy(p<0.01), PON1 and GSH(p<0.05) anda significantdecreasein thelevels of MDA and Apo B/Apo A-1 ratio(p<0.01)in PCOS group after Metformin only(G1- A).But, after Metformin with Folic acid treatment (G2-A)Hcy, Apo B/Apo A-1 ratio and MDA levels were significantly lower (p<0.01) and PON1 as well as GSH levels were significantly higher (p<0.01) in comparison with those before treatment. Whereas, a significant decreasein level ofHcy, MDA (p<0.01) and Apo B/Apo A-1 ratio(p<0.05) anda significantincrease in PON1(p<0.01) and GSH levels (p<0.05) in (G2-A)as compared with (G1-A). The results revealed a significant positive correlation between Hcywith MDA and Apo B/Apo A-1 ratio as well as between PON1 and GSH. And a significant negative correlation between HcywithGSH, PON1and also, betwe

The ability to count and classify vehicles provides valuable information to road network managers, highways agencies and traffic operators alike, enabling them to manage traffic and to plan future development of the network. Increased computational speed of processors has enabled application of vision technology in several fields such as: Industrial automation, Video security, transportation and automotive. The proposed method in this paper is a robust adaptive multi-cue frame subtraction method that detects foreground pixels corresponding to moving and stopped vehicles, even with noisy images due to compression. First the approach adaptively thresholds a combination of luminance and chromaticity disparity maps between the learned background and the current frame. The segmentation is further used by a two-step tracking approach, which combines the simplicity of a linear 2-D Kalman filter and the complexity of 3-D volume estimation using Markov chain Monte Carlo (MCMC) methods. The experimental results shows that the proposed method can count and classify vehicles in real time with a high level of performance under challenging situations, such as with moving casted shadows on sunny days, headlight reflections on the road using only a single standard camera.

Active contours are widely used in image segmentation. To cope with missing or misleading features in image frames taken in contexts such as spatial and surveillance, researchers have commence various ways to model the preceding of shapes and use the prior to constrict active contours. However, the shape prior is frequently learnt from a large set of annotated data, which is not constantly accessible in practice. In addition, it is often doubted that the existing shapes in the training set will be sufficient to model the new instance in the testing image. In this paper we propose to use the diminutive sequence of image frames to learn the missing contour of the input images. The central median minimization is a simple and effective way to impose the proposed constraint on existing active contour models. Moreover, we extend a fast algorithm to solve the projected model by using the hastened proximal method. The Experiments done using image frames acquired from surveillance, which demonstrated that the proposed method can consistently improve the performance of active contour models and increase the robustness against image defects such as missing boundaries.

Cloud computing is the process of providing the virtualized services over the internet. The space in the web commonly known as Cloud has been monitored by service provider. In a real time scenario, a user registers for a particular service and shares his data as well as access credential policies with CSP (cloud service provider). Though cloud computing has got major flexibility in data accessing, users are very much concerned about their data security as it may be mislead by service providers. They may share the owner’s data to unauthenticated persons. This is a big threat to the data owners. In this paper a modern approach, is proposed namely Cloud Information Accountability (CIA) framework, and based on the notion of data liability. We identify the common requirements and develop several guidelines to achieve data accountability in the cloud. Once the data owner provides data, the service provider will have full access and permission rights, on the data. Using traditional access control mechanisms, after data rights are permitted, the data is in the hands of the service provider. We propose an algorithm, which gives the details of people accessing the data using the automated logging details through the JAR files.

To study knowledge, attitude and risk factors of Japanese Encephalitis (JE), a research was conducted from May to November 2012 in Rupandehi district Nepal including household (HH) survey, pig survey and swine sero survey. Questionnaire survey on One hundred HH (50 pig raisers and 50 pig non raisers) to compare JE risk factors; 100 pig farmers to study roles of pig as risk factor for JE in human was conducted. Altogether 54% of respondents heard about JE with 60% (30/50) in pig raisers and 48% (24/50) in pig non raisers, which was not significantly different (p> 0.05). The media like Radio, TV, were found the most important source of information. The knowledge of JE was found significantly higher (p<0.01) in younger people (16-40 yr). The important predictors for knowledge of JE were education (β1 = 0.195), access to media (β1 = 0.357), and age (β1 = 0.165) of respondents. In next 100 pig farmer’s survey, 84.5% of pig farmers had seen mosquitoes in pig shed and 52% had seen mosquitoes biting pigs.