Investigating the Effect of Perceived Service Quality, Perceived Value, Brand Image, Trust, Customer Satisfaction on Repurchase Intention and Recommendation to Other Case study:LG Company

In todays competitive world to have a dominant position in the market provide superior quality products to our customers is an important issue which can be used as a lever to create a sustainable competitive advantage by name. pervious studies show that customer satisfaction is the main source of competitive advantage often leads to customer loyalty and repeat purchase. In addition, service quality, perceived value of the product, consumers will not impact on their satisfaction. Another factor is that brand trust and brand image in the minds of the individuals. According the importance of each of these elements, in this study, the researcher sought the efficacy of each of these on each other and than, assess their impact on offer products or services to others. In this study, the questionnaire to 420 consumers of LG Household Products and for data analysis Spss software was used for regression through the findings suggest the hypothesis is accepted. Keywords: Factors influencing Customer Satisfaction, Repurchase Intention, Recommendation to Other, LG Compan

AJAX ONLINE PHOTO EDITING APPLICATION

The use of web based applications is growing day by day and web applications are improving to be as efficient as possible. In today's world web applications that can function on a variety of platforms or in a variety of contexts, which do not need installation and that are easy accessible insure a business' competitive edge. This project is an online photo editing application using Ajax, the objective for creating an e-commerce (Electronic commerce) web application is to satisfy clients by providing easy accessible service, which is fast, cheap and the most important factor which is saving users precious time. Functionalities provided by this web application were as follow: 1. cropping image 2. resizing image 3. rotate image 4. applying objects and text open image uploaded 5. printing or saving the edited image Ajax helped in so many ways to achieve this goal, Ajax's fast speed and low usage of bandwidth with organized system structure made creating such a system possible. A system in which data, format style, and functions were all organized in the system structure. Comparison played a major role in the development of Ajax online photo editing, similar applications like picture21ife were analyzed, their weaknesses and strengths pointed out and by that a system was developed which tried to capitalize on the weaknesses and learn from the strengths. The requirements for this part ofthe project are obscure and volatile; hence in order to develop this project prototyping base methodology was used

Throughput Scaling Laws for Wireless Networks with Fading Channels

A network of n communication links, operating over a shared wireless channel, is considered. Fading is assumed to be the dominant factor affecting the strength of the channels between transmitter and receiver terminals. It is assumed that each link can be active and transmit with a constant power P or remain silent. The objective is to maximize the throughput over the selection of active links. By deriving an upper bound and a lower bound, it is shown that in the case of Rayleigh fading (i) the maximum throughput scales like $\log n$ (ii) the maximum throughput is achievable in a distributed fashion. The upper bound is obtained using probabilistic methods, where the key point is to upper bound the throughput of any random set of active links by a chi-squared random variable. To obtain the lower bound, a decentralized link activation strategy is proposed and analyzed.Comment: Submitted to IEEE Transactions on Information Theory (Revised

Finite element simulation of heat flow in decomposing polymer composites

Polymer composite materials, particularly glass reinforced plastics (GRP), are increasingly being used in the offshore industry and their behaviour in fire is studied using mathematical and numerical modelling. A generalised finite element method is developed to analyse the thermally induced response of a widely used GRP, consisting of polyester resin and glass fibre reinforcement. GRP panels, pipes and joins subject to hydrocarbon fires (i.e. high temperatures) are studied. One- and two-dimensional mathematical models are developed to study the fire performance of: (i) single-skinned GRP panels, (ii) twin-skinned GRP-Vermiculux sandwich panels, and (iii) thin and thick GRP joins (step panels). The models involve thermochemical decomposition of the material (pyrolysis) and include: (i) transient heat conduction, (ii) gas mass movement and internal heat convection of pyrolysis gases, (iii) mass loss and Arrhenius rate decomposition of the resin material into gases and char, and (iv) endothermicity of pyrolysis. The effect of imperfect bonding on heat transfer in sandwich panels and the accumulation of pyrolysis gases and internal pressurisation in thick step panels are also included. The models may be used with any combination of steady or time-dependent boundary conditions including temperature, radiation, chemical reactions, mass diffusion and free and forced convections. Various positions of panels, i.e. vertical, horizontal and inclined are studied. The material is assumed homogeneous and orthotropic with respect to thermal and transport properties which may vary with temperature, pore pressure and moisture. The finite element models use weighted residual approach with linear elements for one- dimensional and quadrilateral elements for two-dimensional. Non-linear terms and coefficients are evaluated explicitly using an iterative-updating method and nodal temperatures and pore pressures implicitly using Crank-Nicolson solution. The classical finite difference time stepping algorithm is used where an efficient solution is achieved using variable time step. Numerical results are presented in the form of temperature versus time, temperature versus distance, pore pressure versus distance, mass loss versus distance and moisture versus distance and compared with experimental data where available. It is shown that the decomposition of the material, endothermicity of pyrolysis and the movement of pyrolysis gases make substantial contributions towards the cooling behaviour and delaying the bum-through. The effect of gas mass movement and surface chemical reactions across the boundary layer adjacent to the fire-exposed surface is very important in introducing a theoretical boundary condition. An investigation into the effect of inclusion the variable thermal properties reveals considerable improvement in thermal predictions. Sandwich panels consisting of GRP/Vermiculux/GRP offer good thermal insulation. Thermal contact resistance at an imperfect bonding is important where an average difference of 12% can be found between the thermal responses of sandwich panels with perfect and imperfect bonding. For thin GRP step panels, a one-dimensional solution is found adequate to predict the fire resistance behaviour of the material. For thick GRP step panels, the effect of internal pressurisation coupled with temperature on the thermal response is considerable

Vibration-based classification of centrifugal pumps using support vector machine and discrete wavelet transform

Due to the quick advancement of technology, application of different methods is highly required to maintain the high quality of production and health assessment of production lines. Hence, condition monitoring is widely used in the industry as an efficient approach. The purpose of the present study was to classify faults in centrifugal pumps using the vibration signal analysis and support vector machine (SVM) method. Vibration signals were decomposed in three levels by Daubechies wavelets, and a total of 44 descriptive statistical features were extracted from detail coefficients and approximation coefficients of the wavelets. In order to find the best model for fault classification of centrifugal pumps, parameters such as penalty, degree of polynomial, and width of the Gaussian radial basis function kernel (RBF kernel) were investigated. The classification results using the SVM method indicated that the maximum classification accuracy was 96.67 percent, which was obtained at an RBF kernel width of 0.1 and a penalty parameter value of 1

A study on the effect of green marketing on consumers’ purchasing intention

During the past two decades, there have been significant damages on environment such as ozone layer depletion, global warming effects, etc. and people are getting more concerned about taking necessary actions to help environment. The purpose of this paper is to study the effect of green marketing on consumers’ purchasing intention in dairy industry. The proposed study designs a questionnaire and distributes it among 154 randomly selected people who purchase dairy products in four different regions of city of Babol, located in north region of Iran. Using structural equation modeling, the study has detected that green marketing influences on consumers’ purchasing intention, positively