Online banking has seen dramatic growth in the past several years and will continue to grow in the years to come. An increasing number of users are processing transactions online and the numbers are likely to increase rapidly in the near future. Trust plays a critical role in these electronic transactions that are processed online. Trust has been identified as the key factor to E-banking because it is crucial wherever uncertainty and interdependence exist. The users who display a high level of trust in their financial institutions are more likely to adopt a variety of electronic banking services. There is a strong association between a high level of trust and the E-banking adoption. However, despite the growing interest in exploring the acceptance of E-banking services, there has been very little literature that focuses on the user trust and adoption of E-banking. So, it is increasingly necessary to the bank managers to understand what is important to customers when it comes to E-banking. This research intends to propose a model of trust for electronic banking and tries to offer insights about critical factors in adoption behavior of Indian customers. Based on input received from 110 electronic banking customers, the proposed model is empirically tested using structural equation modeling. Findings suggest that trust and perceived risk are direct antecedents of intention, and trust is a multidimensional construct with three antecedents: perceived security, perceived privacy and perceived trustworthiness.

Usage and access to technology is not equidistributed even within the same country. The studies show that, in India, overall access to technology (in terms of telephony, Internet connectivity and usage of computers) is low in rural and small towns than in their urban counterparts. Until recently the technology was benefiting and serving only the rich and urban populace of India. Technology was an urban phenomenon and the rural communities largely were deprived of its benefits. Today, however, the scenario is changing rapidly. There are many projects underway in India to demonstrate the concrete benefits of technology for rural development, and in a manner that is economically feasible too. Present study examines and comments on the initiatives being undertaken in this regard. The paper takes note of several technological initiatives and projects being implemented in rural India and highlights their coverage and basic approach.

This paper describes the design of a newly proposed 2 pole wide band micro strip band stop filter with open circuited stubs covering S band to C band. This paper represents the design and simulation of wide band bandstop filter using microstrip which is designed to have a central frequency of 3.7GHz.The filter is fabricated on a FR-4 substrate having dielectric constant 􀟝􀯥=4.4 and thickness h=1.6mm.Microstrip technology is used for simplicity and ease of fabrication. The design and simulation are performed using method of moments based electromagnetic simulator IE3D.

A commonly appearing problem in most of the econometric data research is the correlated input variables or problem of multicollinearity. This problem arises due to the choice of several input variables which are having high correlation among themselves and it leads to the less précised estimates and huge forecasting errors. This problem can be identified by several approaches like variance inflation factor, correlation matrix etc and it can be removed efficiently by removing or changing the set of input variables in the data. In the current publication, a stepwise procedure is adopted to remove the variables without compromising on model efficiency. The efficiency of the model can be measured or compared by using error diagnostics like RMSE, AIC, BIC etc. For empirical investigation, we used agriculture production of Rice for the past 15 years in the country.

The scheduling algorithm is the last component of a scheduling system. It has the task to generate a valid schedule for the actual stream of submission data in an online fashion. A good scheduling algorithm is expected to produce very good if not optimal schedule with respect to the objective function while not taking ‘too much’ time resources to determine the schedule. Unfortunately, most scheduling problems are computationally very hard. This is even true for online problems with simple objective functions and few additional requirements see from instance. Therefore, it is not reasonable to hope in general for an algorithm that always guarantees the best possible schedule. In addition, some job data may not be immediately available or may be incorrect which makes the task for the algorithm even harder. In order to obtain good schedule the administrator of a parallel machine is therefore faced with the problem to pick an appropriate algorithm among a variety of suboptimal ones. She may even decide to design an entirely new method if the available ones do not yield satisfactory result. The selection of the algorithm is highly dependent on a variety of constraints.

The difference between look ahead carry adder and ripple carry adder is proposed in this paper. Both these adders have been designed using a VHDL (very high speed integrated circuit hardware description language) tool named Xilinx ISE Design Suite 12.4_1. In VHDL tool, structural modeling is implemented on the above mentioned adders. This paper is focusing on difference between these adders based on their performance (fastness).

This paper deals with the comprehensive study of flow to program FPGA kit using VHDL. This will enhance the description, simulation and hardware realization of complex system and improvement of the performance of system. VHDL is a hardware description language that is used to model a digital system. The VHDL coding of design is compiled and simulated using Xilinx ISE tool and then incorporate it into FPGA chip to check the feasibility of the proposed design and then the required hardware can be brought into effect.