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The IUP Journal of Computer Sciences
ISSN: 0973-9904
A ‘peer reviewed’ journal indexed on Cabell’s Directory,
and also distributed by EBSCO and Proquest Database


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The IUP Journal of Computer Sciences is a quarterly journal focusing on state-of-the-art computing techniques, algorithms and data structures, encryption techniques, computational problems, artificial intelligence, databases, cybernetics, firewall techniques, chip designing, logic circuits, software engineering, programming techniques, computer architecture, neural networks, etc. The journal publishes contemporary research papers, emerging concepts, and strategies pertaining to the broad area of computer sciences with contributions from thought leaders, eminent academicians and researchers.

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  • Algorithms and Data Structures
  • Encryption Techniques
  • Computational Problems
  • Artificial Intelligence
  • Databases
  • Firewall Techniques
  • Chip Designing
  • Logic Circuits
  • Software Engineering
  • Programming Techniques
  • Computer Architecture
Assessing Climate Changes in California Using Support Vector Machine in Statistical Downscaling
Mining Aspects for the Appearance Over Queries: An Overview
SPC-Based Software Reliability Using Modified Genetic Algorithm: Inflection S-Shaped Model
Traffic Pattern-Based Energy Consumption Evaluation of Manet Routing Protocols
MATLAB and GUI-Based Error Correction in Information Communication
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(Oct 2017)

Assessing Climate Changes in California Using Support Vector Machine in Statistical Downscaling

--Amit Sahoo and Dhrubajyoti Sen

General Circulation Model (GCM) is used for assessing the climate change for a large river basin by dividing the whole earth into grids and solving partial differential equations which is computationally difficult. For assessing smaller river basin hydrology, statistical downscaling is applied which is based on obtaining a relationship between GCM’s simulated climatic variables and the streamflow over the region (Ghosh and Mujumdar, 2008). This paper presents a methodology for assessing the climatic changes over California Region in the winter months (October to March) using various models such as linear regression, Artificial Neural Networks (ANN) and Support Vector Machines (SVM) and choosing the most appropriate model for predicting the future streamflow of the winter months and predicting the changes in flooding patterns of California at various stations. The National Center for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) data is used as the predictor variables and the result obtained is compared with the actual values of streamflow from the Hydro-Climatic Data Network (HCDN) data collected over the years 1948-1988, which is the historical period of the station of our interest. A decreasing trend is observed for the future period of 2020-2050 than the historical patterns, which reveals the decrease patterns of flooding’s over California. These predicted results using SVM model are compared with the Variable Infiltration Capacity (VIC) model (uses land variables such as runoff and soil properties along with atmospheric variables as the predictor variables) by plotting a CDF graph, and the accuracy of the model is compared with other models based on that, and if a more computationally easier and efficient model could be used for predicting better results is assessed.

Article Price : Rs.50

Mining Aspects for the Appearance Over Queries: An Overview

--S Swarnalatha, K Bhanu Prakash and M Supraja

Mining aspects of locating queries, which generally satisfy several phrases that support different business aspects, usually handle the summarized content related to the questions posed by users. It is assumed that the crucial components of a query are normally offered and repeated in the query's pinnacle retrieved documents inside the fashion of lists, and question aspects can be mined out by aggregating these significant lists. To support information for locating faceted queries, a survey was conducted to implement a technology that represents interesting phases of a query using organizations of semantically associated terms, which is purely based on search results. Web seek queries are often multifaceted, which makes a simple ranked list of effects insufficient. So, a method QD Miner, is used to automatically mine question sides using extracting and grouping frequent lists from loose textual content, HTML tags and repeat regions within pinnacle search consequences. Seek outcomes totally based on the used technique will truly enhance the users’ potential to discover information without problems.

Article Price : Rs.50

SPC-Based Software Reliability Using Modified Genetic Algorithm: Inflection S-Shaped Model

--R Satyaprasad, G Bharathi and G Krishna Mohan

Likelihood Estimation (MLE) and the Least Squares Estimation (LSE). However, the approach of these two estimations may impose some restrictions on SRGMs, such as the existence of derivatives from formulated models or the needs for complex calculation. In this paper, a Modified Genetic Algorithm (MGA) is proposed to assess the reliability of software considering the time domain software failure data and SPC using inflection S-shaped model which is Non-Homogenous Poisson Process (NHPP)-based. Experiments based on real software failure data are performed and the results show that the proposed Genetic Algorithm (GA) is more effective and faster than traditional algorithms.

Article Price : Rs.50

Traffic Pattern-Based Energy Consumption Evaluation of Manet Routing Protocols

--Vikas Singla and Yogesh Kumar Sharma

Ad hoc networks are used where wired network and mobile access is either unproductive or not feasible. They are infrastructure-less networks formed with limited life of existence. As adhoc networks change their topology frequently, routing in such networks is a challenging task. Moreover, bandwidth, energy and physical security are limited in these kinds of networks. In this paper, the reactive protocol—Ad hoc On Demand Vector (AODV), proactive protocol —Optimized Link State Routing (OLSR) and hybrid routing protocol—Zone Routing Protocol (ZRP) are evaluated for energy consumption for TCP and CBR traffic pattern. NS-2 simulator is used for performing all the simulation works.

Article Price : Rs.50

MATLAB and GUI-Based Error Correction in Information Communication

--Jawad Ahmad Dar and Mohd Rafiq Ganaie

Error detection and correction has great practical importance in maintaining data and ensuring that information is transferred intact from source to destination. Also, MATLAB-based Graphical User Interface (GUI) for Convolutional Code (CC) provides basic concepts of CC, its encoder structure, and classification and decoding techniques. CCs are widely used as channel codes in practical communication systems for error correction. Encoder design consists of current bits and previous bits that are stored in shift registers. Encoded output sequence is generated from present and previous message bits. Encoded output is passed to the decoder and the decoding algorithm, which is used in Viterbi decoding algorithm.

Article Price : Rs.50



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Automated Teller Machines (ATMs): The Changing Face of Banking in India

Bank Management
Information and communication technology has changed the way in which banks provide services to its customers. These days the customers are able to perform their routine banking transactions without even entering the bank premises. ATM is one such development in recent years, which provides remote banking services all over the world, including India. This paper analyzes the development of this self-service banking in India based on the secondary data.

The Information and Communication Technology (ICT) is playing a very important role in the progress and advancement in almost all walks of life. The deregulated environment has provided an opportunity to restructure the means and methods of delivery of services in many areas, including the banking sector. The ICT has been a focused issue in the past two decades in Indian banking. In fact, ICTs are enabling the banks to change the way in which they are functioning. Improved customer service has become very important for the very survival and growth of banking sector in the reforms era. The technological advancements, deregulations, and intense competition due to the entry of private sector and foreign banks have altered the face of banking from one of mere intermediation to one of provider of quick, efficient and customer-friendly services. With the introduction and adoption of ICT in the banking sector, the customers are fast moving away from the traditional branch banking system to the convenient and comfort of virtual banking. The most important virtual banking services are phone banking, mobile banking, Internet banking and ATM banking. These electronic channels have enhanced the delivery of banking services accurately and efficiently to the customers. The ATMs are an important part of a bank’s alternative channel to reach the customers, to showcase products and services and to create brand awareness. This is reflected in the increase in the number of ATMs all over the world. ATM is one of the most widely used remote banking services all over the world, including India. This paper analyzes the growth of ATMs of different bank groups in India.
International Scenario

If ATMs are largely available over geographically dispersed areas, the benefit from using an ATM will increase as customers will be able to access their bank accounts from any geographic location. This would imply that the value of an ATM network increases with the number of available ATM locations, and the value of a bank network to a customer will be determined in part by the final network size of the banking system. The statistical information on the growth of branches and ATM network in select countries.

Indian Scenario

The financial services industry in India has witnessed a phenomenal growth, diversification and specialization since the initiation of financial sector reforms in 1991. Greater customer orientation is the only way to retain customer loyalty and withstand competition in the liberalized world. In a market-driven strategy of development, customer preference is of paramount importance in any economy. Gone are the days when customers used to come to the doorsteps of banks. Now the banks are required to chase the customers; only those banks which are customercentric and extremely focused on the needs of their clients can succeed in their business today.