|
|
| |
|
Submit Paper / Call for Papers |
|
Journal receives papers in continuous flow and we will
consider articles from a wide range of Computing disciplines including hardware
engineering, software engineering, information systems and information
technology,
encompassing the most basic research to the most innovative and radical ideas. Please
submit your papers electronically to our submission system at
http://IJRIC.org/submit_paper.php in an MSWord, Pdf or compatible
format so that they may be evaluated for publication in the upcoming issue. This
journal uses a blinded review process; please remember to include all your
personal identifiable information in the manuscript before submitting it for
review, we will edit the necessary information at our side. Submissions to IJRIC
should be full research / review papers (properly indicated below main title in
case of review paper). | | |
|
International Journal of Reviews in Computing Volume
5
January 2011 |
|
Title |
MANAGEMENT INFORMATION SYSTEM TO
HELP MANAGERS FOR PROVIDING DECISION MAKING IN AN ORGANIZATION |
|
Authors |
G.SATYANARAYANA REDDY, RALLABANDI
SRINIVASU, SRIKANTH REDDY RIKKULA, VUDA SREENIVASA RAO |
|
Abstract |
Management Information System
(MIS) provides information for the managerial activities in an
organization. The main purpose of this research is, MIS provides
accurate and timely information necessary to facilitate the
decision-making process and enable the organizations planning, control,
and operational functions to be carried out effectively. Management
Information System (MIS) is basically concerned with processing data
into information and is then communicated to the various Departments in
an organization for appropriate decision-making. MIS is a subset of the
overall planning and control activities covering the application of
humans, technologies, and procedures of the organization. . The
information system is the mechanism to ensure that information is
available to the managers in the form they want it and when they need
it. |
|
Keywords |
Management Information
Systems (MIS), Information Technology, Decision Making And MIS In An
Organization |
|
Source |
International
Journal of Reviews in Computing
Vol. 5 |
|
Full Text |
|
Title |
ANALYSIS & EXPERIMENTAL EVALUATION
OF MS SQL DATABASE ON VARIOUS HYPERVISORS USING DIFFERENT STATISTICAL
METHODOLOGY |
|
Authors |
DEVI PRASAD, S RAMACHANDRAM, REETA
SONY A L |
|
Abstract |
Benchmarking is the tedious and
time-consuming job. Since the upcoming feature of the new products is so
complex, it needs in depth knowledge of the product and its domain.
Usually customer comes with a benchmarking of their product with their
competitor one; the service company will always go for a cost-effective
way of benchmarking. There are several methods of benchmarking such as
One Factor At a Time (OFAT), Design of Experiment (DOE) Interaction
effect approach, Pearson Correlation-co-efficient method and Multi Vari
analysis. As a test manager in the project management role need to
choose best and suitable one method of benchmarking the products. This
work has proved and analyzed the applicability and suitability of
benchmarking method for a given Hypervisor testing. |
|
Keywords |
Benchmarking, OFAT, DOE,
Interaction Effect, Hypervisor Testing |
|
Source |
International
Journal of Reviews in Computing
Vol. 5 |
|
Full Text |
|
Title |
UTILITY OF QUALITY CONTROL TOOLS
AND STATISTICAL PROCESS CONTROL TO IMPROVE THE PRODUCTIVITY AND QUALITY
IN AN INDUSTRY |
|
Authors |
RALLABANDI SRINIVASU, G.
SATYANARAYANA REDDY, SRIKANTH REDDY RIKKULA |
|
Abstract |
Statistical Process Control (SPC)
methods have been widely recognized as effective approaches for process
monitoring and diagnosis. Statistical process control provides use of
the statistical principals and techniques at every stage of the
production. Statistical Process Control (SPC) aims to control quality
characteristics on the methods, machine, products, equipments both for
the company and operators with magnificent seven. Some simple techniques
like the “seven basic quality control (QC) tools” provide a very
valuable and cost effective way to meet these objectives. However, to
make them successful as cost effective and problem solving tools, strong
commitment from top management is required. Statistical process control
(SPC) is one of the important tools in quality control (QC). In order to
survive in a competitive market, improving quality and productivity of
product or process is a must for any company. |
|
Keywords |
Statistical Process Control
(SPC) ; Statistical Quality Control (SQC); Quality Improvement; Quality
Tools and Control Charts |
|
Source |
International
Journal of Reviews in Computing
Vol. 5 |
|
Full Text |
|
Title |
STABLE SELF TUNING GENETIC FUZZY
TEMPERATURE CONTROLLER FOR PLASTIC EXTRUSION SYSTEM |
|
Authors |
S.RAVI, P.A.BALAKRISHNAN |
|
Abstract |
In this paper Genetic Algorithm
based Fuzzy Logic Controller for temperature control in a plastic
extrusion is developed and tested through a simulation study. A novel GA
based FLC method is implemented to design a practicable advanced
controller. Manifest feature of the proposed method is smoothing of
undesired control signal of mamdani type FLC controller. Plastic
extrusion system is generally nonlinear and the temperature of the
plastic extrusion system may vary over a wide range subjected to various
disturbances. The system is designed with two different control
techniques to control temperature at different set point changes and as
well as to control sudden input disturbances. The first technique is
mamdani type FLC controller and the proposed method is GA based FLC. In
order to use a controller it must first be tuned to the system. This
tuning synchronizes the controller with the controlled variable, thus
allowing the process to keep at its desired operating condition. The
simulation study shows that the proposed controller has good set point
tracking and disturbances rejection properties. Also it is robust
against changes in the system parameters and superior to the Fuzzy
controller. |
|
Keywords |
Plastic Extrusion system,
Genetic Algorithm, Fuzzy Logic Control, Temperature Control |
|
Source |
International
Journal of Reviews in Computing
Vol. 5 |
|
Full Text |
|
Title |
AN OVERVIEW OF COMPUTATIONAL
INTELLIGENCE TECHNIQUES FOR RETINAL DISEASE IDENTIFICATION APPLICATIONS
(REVIEW PAPER) |
|
Authors |
J.ANITHA, C.KEZI SELVA VIJILA AND
D.JUDE HEMANTH |
|
Abstract |
Computational methodologies have
become a significant part of the real time applications. One specific
application which highly depends on the computing techniques is the
medical field. Ophthalmology is a significant branch of biomedical field
which requires computer-aided automated techniques for pathology
identification in human eyes. These automated techniques must be highly
accurate and also converge in quick time period. Based on these
criterions, several automated techniques are developed and being used
for practical applications. Even though many techniques are available,
it is very difficult to achieve the concept of generalization among
these automated techniques. Hence, there is a significant necessity for
analyzing the various techniques in order to highlight their suitability
for eye disease identification applications. This research paper
overcomes this deficiency by providing an in-depth analysis of the
existing automated techniques. The focus of this paper is on Artificial
Intelligence (AI) based techniques since these techniques are found to
be superior to other computing techniques. An extensive analysis is
performed to bring out the merits and demerits of various Artificial
Intelligence (AI) based techniques. Thus the application of AI
techniques for retinal disease identification is explored in this work.
This work also indirectly suggests AI based solutions for the various
stages of automated retinal disease diagnosis system. |
|
Keywords |
Artificial Intelligence,
Retinal diseases, Neural Networks & Fuzzy Theory, Optimization |
|
Source |
International
Journal of Reviews in Computing
Vol. 5 |
|
Full Text |
|
Title |
OVERVIEW OF ACTUAL NETWORK
PROBLEMS RELATED TO THE INTERNET |
|
Authors |
SAED AL-THUNEIBAT, NEDAL
ALTAWALBEH |
|
Abstract |
In this article; an overview of
the challenging problems in the Internet is presented. The focus is on
the best-effort delivery, IP-addressing and last mile problems. All of
these problems lead to unacceptable quality of service (QoS); especially
critical applications are real-time video services. To this end, the
Internet Engineering Task Force (IETF) has set up the Working Groups,
with the goal of defining the next-generation Internet protocol (IPv6),
in which traditional best-effort datagram delivery and additional
enhanced quality of service delivery classes coexist. IPv6 provides 128
bytes addressing field, which effectively covers IP-address for a huge
number of Internet users. Fiber optic cable deployment by incumbent
telephone and cable companies has a significant impact on the prospects
for last-mile broadband competition. Definition of these actual network
technical problems related to the Internet and perspective solutions are
discussed in paper. |
|
Keywords |
Ipv4, Ipv6, Best-Effort
Delivery, IP-Addressing, Last Mile Problem |
|
Source |
International
Journal of Reviews in Computing
Vol. 5 |
|
Full Text |
|
Title |
SIZING OF DG UNIT TO REDUCE LOSSES
IN RADIAL DISTRIBUTION - A CASE STUDY |
|
Authors |
B.SRINIVASA RAO, Prof.
G.V.SIVA KRISHNA RAO |
|
Abstract |
Distributed generators are very
much beneficial in reducing the losses effectively compared to other
methods of loss reduction .In this paper optimal size of DG unit
operated at optimal power factor is dealt. DG unit placement using fuzzy
logic and sizing of DG at any power factor is calculated using
analytical method . Voltage and power loss reduction indices of
distribution system nodes are modeled by fuzzy membership functions.
Fuzzy inference system containing a set of rules is used to determine
the DG unit placement. DG units are placed at buses with the highest
suitability index. Simulation results show that optimal DG unit
placement and sizing at 0.8 power factor is very efficient. Single DG
unit of optimum size operated at 0.8 power factor is sufficient in
reducing losses and improving voltage regulation effectively within the
specified voltage constraints. |
|
Keywords |
Distributed Generation (DG)
Unit, ,Power Loss, Loss Reduction, Voltage Regulation |
|
Source |
International
Journal of Reviews in Computing
Vol. 5 |
|
Full Text |
|
|
Publish your quality research
in
Sister JOURNALS
Journal of Theoretical and Applied Information Technology
(JATIT)
www.jatit.org
|