IJSRP, Volume 2, Issue 7, July 2012 Edition
نویسندگان
چکیده
The tremendous advances and the aggressive infusion of information technology had brought in a paradigm shift in banking operations. With the rapid proliferation of Internet Technology banking sector now takes a different approaches often termed as E-banking. The adoption of Ebanking becomes a necessity for the banking which wishes to maintain its share of market and retain its customers. In one hand, it offers ease of operation for both customers and consumers. On the other hand, it overcomes the geographical bars between the countries. But such improved services have come at the cost of rigorous adaptation of business rules and policies as well as to cope with the new technology. This paper reveals the current situation of E-banking in Bangladesh and the impact of E-banking on banking activities. The new challenges of E-banking are to develop and apply policy from the perspectives of society, banks, and regulatory authorities as like as government are addressed in the study.
منابع مشابه
IJSRP, Volume 2, Issue 7, July 2012 Edition
The main target of this research paper is to propose an algorithm to implement data security using encryption and decryption method in binary sequence of original text message. The binary sequence of message is converted into DNA sequence, which consists of nucleotide letter A,T,G,C., then by using random function, which generates the sequence of random numbers for each nucleotide. The generate...
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متن کاملIJSRP, Volume 2, Issue 7, July 2012 Edition
In this paper particle swarm optimization (PSO) algorithm is proposed to optimize Combined Economic emission Dispatch Problem (CEEDP)of thermal units. Combined Economic emission Dispatch Problem (CEEDP is used to minimize both total fuel cost of generation and the emission of toxic gases of the thermal generating units simultaneously while satisfying the load demand and constraints of the syste...
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This Paper presents a comparative study of Genetic Algorithm method (GA) and Particle swarm optimization (PSO) method to determine the optimal proportional-integral (PI) and proportional-integral-derivative (PID) controller parameters, for speed control of a Field Oriented Control (FOC) induction motor. The FOC induction motor has been modeled in MATLAB (SIMULINK); the GA and PSO algorithm has ...
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