Archives-July 2013

Loneliness is the result of defect in individuals' social communications qualitatively and quantitatively, and also inaccessibility to close and desired relationships with others. So the aim of this research was to analyze effectiveness of social skills training on the reduction of loneliness in single parents (led families). The research design was quasi-experimental with pre-test post-test and control group. The research population was all the single parents (led families) supported by Komite Emdad institution. For this, 30 single parents (led families) aging from 35 to 55 were selected based on purposeful sampling method and were assigned to the two groups of experiment and control groups. Subjects of the experiment group went under eight sessions of 1.5 hours of training, while the subjects of the control group did not. Instrument used in this study was the Revised Questionnaire of Loneliness (UCLA). Data were analyzed with analysis of covariance (ANCOVA). The findings showed that social skills training results in the reduction of loneliness in single parents (led families) (p<0.05). Social skills training results in the reduction of loneliness in single parents (led families). And using such trainings we can help single parents (led families) to feel less lonely.

The potential use of custard apple peel powder for the removal of Cu (II) from waste water has been investigated in batch mode experiments. Influences of parameters like initial Cu (II) concentration (20-60 mg/l), pH (5-7), and biomass dosage (25-35 g/l) on Cu (II) adsorption were examined using response surface methodology. The Box-Behnken experimental design in response surface methodology was used for designing the experiments as well as for full response surface estimation and 15 trials as per the model were run. The optimum conditions for maximum removal of Cu (II) from an aqueous solution of 20 mg/l were as follows: adsorbent dosage (28.139 g/l), pH (6.40213) and initial Cu (II) concentration (17.6572 mg/l). The high correlation coefficient (R² =0.991) between the model and the experimental data showed that the model was able to predict the removal of Cu (II) from waste water using Custard apple peel powder efficiently.

One of the most common problems in digital image restoration is motion blur caused by an image captured from a moving platform especially at low light condition having long exposure time of camera. Removing of blur is always challenging for image processing field because one has to estimate the motion blur which can spatially differ over image. Motion blur is simply an undesired effect. Restoration of blur image is very important in many of the cases like identification of number plates of moving vehicle and identification moving human beings. In restoration of motion blur the knowledge of the point spread function (PSF) is key factor. This paper presents the algorithm to estimate PSF parameters like motion blur angle and the motion blur length. Once PSF parameters are estimated then restoration of the blurred image can be achieved. Furthermore paper discusses the comparative study of different restoration techniques. The experimental result shows estimated blur angle and blur length are very close to theoretical value and the blur images with natural and artificial noise are successfully restored. The wavelet based fused image shows the best results.

Agricultural Machinery is mostly used in off road i.e. in the field. In the field these machines perform different field operations like Ploughing, where the parts are subjected to stresses like tensile stress, compressive stress and shear stress thereby high wear due to heavy loads. The critical components in the agriculture machinery are either forged or fabricated out of medium carbon steel by unorganized sectors in India. As a result the users suffer on account of quality and short service life of these components. Recently Austempered Ductile Iron (ADI) has come up which has high strength, high wear resistance and less manufacturing cost. This material is now being widely used in production of critical agricultural machinery components for cost effectiveness uses. The paper described the Mechanical, Tribological properties of Austempered ductile iron and its application areas in agricultural machinery in India and abroad.

The development of intelligent data analysis techniques for fraud detection can be well motivated from an economic point of view. Following the definition of fraud, it is easy to state the losses caused by fraud as primary motivation for fraud detection mechanism. Fraud in communication networks can be described and characterized as determined unobserved intentions to illegitimately use the communication networks in order to avoid service charges or gain unjust advantage. Efforts in this work are directed at fraud detection in post-paid organizational mobile communications networks. Two different complementary approaches are used: (differential and absolute, user profiling and classification approaches). It is observed that fraudulent intentions are reflected in the observed call data, which was subsequently used in describing behavioural patterns of users. Relevant user groups based on call data were identified and users are assigned to a relevant group to model the fraud detection mechanism. In the task the call data was used to learn models of calling behaviour so that these models make inferences about users’ intentions. From the analysis and model detectability experiment carried out in this scientific research work. It was discovered that the model detects over 89% of the fraudsters in the testing set (i.e fraud with certainty factor of 0.89). With the bias proportion of 0.0 and Mean Absolute Error (MAE) of (2.71) generated in the fraud detection. The model of course shows a good performance.

High frequency unsteady peristaltic flow of a Jeffrey fluid in uniform and non-uniform tube has been investigated. The governing equations has been solved numerically and investigations are made for two cases for uniform and tapered tubes. The velocity distribution and the pressure rise is obtained. The effect of Jeffrey parameter, Womersley parameter on the flow characteristics are discussed and are analyzed through graphs for both uniform and tapered tube. Furthermore, the results obtained for the flow characteristics reveal many interesting behaviors that warrant further study of the peristaltic transport models with physiological fluids.

An exact solution of unsteady flow past an exponentially accelerated infinite isothermal vertical plate with variable temperature and uniform mass diffusion in the presence of chemical reaction of first order has been studied. The plate temperature is raised linearly with respect to time and concentration level near the plate is raised uniformly. The dimensionless governing equations are solved using the Laplace-transform technique. The velocity, temperature and concentration profiles are studied for different physical parameters like magnetic field parameter, chemical reaction parameter, thermal Grashof number, mass Grashof number, Schmidt number, time and a. It is observed that the velocity decreases with increasing magnetic field parameter.

The experimental study has been made to utilize natural agrosilica (agrowaste) as a pozzolana by partial replacement of cement. The agrowastes that are rich in silica namely sugarcane bagasse ash, rice husk ash, wood ash are being taken for the study. The study is done for compressive strength, split tensile strength, flexural stength. Optimum percentage of replacement of different agro waste is determined. Thus utilization of agro waste in concrete and accounts for green concrete.

Cost of capital is considered as an essential factor in making decisions on investment ,capital budgeting, managing of working capital, establishment of optimal financial structure, helping with performance measurement and determination of the firm value through helping in discounting cash flows.the present research aims at Survey of relationship between systematic risk, earnings per share(EPS) and dividend per share(DPS) as a in depended variables and cost of capital as a depended variable in accepted companies in securities exchange of Tehran in period of 2005-2010. Total of accepted companies in the securities exchange of Tehran have been seen as a statistic society. In order to conducting this research, 114 companies, random and with stipulate dimities, selected as research samples. In this research for estimation cost of equity capital we were used of Gordon growth model. It also for examination hypotheses of research we were used of partial correlation coefficient, step wise regression’s and curve estimation regression test. The results indicate there were not significant relationship between systematic risk, earning per share and dividend per share with cost of capital in total time’s dominion of the study. the yearly results show, there were significant relationship between systematic risk and cost of capital in 2007 from nonlinear aspect, between earning per share and cost of capital in 2007&2009 from linear aspect and in 2005,2006&2010,from nonlinear aspect and between dividend per share and cost of capital in 2007,2008&2009 from linear and nonlinear aspects.

In this paper we establish some more generalizations of Enestr?m – Kakeya theorem by taking the case when the monotonic coefficients are perturbed and hence finding annulus for the polynomial. Besides many consequences our results considerably improve the bounds in some cases as well.