Soft computing is likely to play an important role in science and engineering in the future. The successful applications of soft computing and the rapid growth suggest that the impact of soft computing will be felt increasingly in coming years. Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. This Open access peer-reviewed journal serves as a platform that fosters new applications for all scientists and engineers engaged in research and development in this fast growing field.
October 2021: Top Read Articles in Soft Computingijsc
Soft computing is likely to play an important role in science and engineering in the future. The successful applications of soft computing and the rapid growth suggest that the impact of soft computing will be felt increasingly in coming years. Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. This Open access peer-reviewed journal serves as a platform that fosters new applications for all scientists and engineers engaged in research and development in this fast growing field.
International Journal of Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems. The IJCSIT is a open access peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication.
June 2020: Most Downloaded Article in Soft Computing ijsc
Soft computing is likely to play an important role in science and engineering in the future. The successful applications of soft computing and the rapid growth suggest that the impact of soft computing will be felt increasingly in coming years. Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. This Open access peer-reviewed journal serves as a platform that fosters new applications for all scientists and engineers engaged in research and development in this fast growing field.
TOP CITED ARTICLE IN 2011 - INTERNATIONAL JOURNAL OF MOBILE NETWORK COMMUNICA...ijmnct
International Journal of Mobile Network Communications & Telematics (IJMNCT) is an open access peer-reviewed journal that addresses the impacts and challenges of mobile communications and telematics. The journal also aims to focus on various areas such as ecommerce, e-governance, Telematics, Telelearning nomadic computing, data management, related software and hardware technologies, and mobile user services. The journal documents practical and theoretical results which make a fundamental contribution for the development of mobile communication technologies
Trends in mobile network communication and telematics in 2020ijmnct
International Journal of Mobile Network Communications & Telematics (IJMNCT) is an open access peer-reviewed journal that addresses the impacts and challenges of mobile communications and telematics. The journal also aims to focus on various areas such as ecommerce, e-governance, Telematics, Telelearning nomadic computing, data management, related software and hardware technologies, and mobile user services. The journal documents practical and theoretical results which make a fundamental contribution for the development of mobile communication technologies.
October 2021: Top Read Articles in Soft Computingijsc
Soft computing is likely to play an important role in science and engineering in the future. The successful applications of soft computing and the rapid growth suggest that the impact of soft computing will be felt increasingly in coming years. Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. This Open access peer-reviewed journal serves as a platform that fosters new applications for all scientists and engineers engaged in research and development in this fast growing field.
International Journal of Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems. The IJCSIT is a open access peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication.
June 2020: Most Downloaded Article in Soft Computing ijsc
Soft computing is likely to play an important role in science and engineering in the future. The successful applications of soft computing and the rapid growth suggest that the impact of soft computing will be felt increasingly in coming years. Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. This Open access peer-reviewed journal serves as a platform that fosters new applications for all scientists and engineers engaged in research and development in this fast growing field.
TOP CITED ARTICLE IN 2011 - INTERNATIONAL JOURNAL OF MOBILE NETWORK COMMUNICA...ijmnct
International Journal of Mobile Network Communications & Telematics (IJMNCT) is an open access peer-reviewed journal that addresses the impacts and challenges of mobile communications and telematics. The journal also aims to focus on various areas such as ecommerce, e-governance, Telematics, Telelearning nomadic computing, data management, related software and hardware technologies, and mobile user services. The journal documents practical and theoretical results which make a fundamental contribution for the development of mobile communication technologies
Trends in mobile network communication and telematics in 2020ijmnct
International Journal of Mobile Network Communications & Telematics (IJMNCT) is an open access peer-reviewed journal that addresses the impacts and challenges of mobile communications and telematics. The journal also aims to focus on various areas such as ecommerce, e-governance, Telematics, Telelearning nomadic computing, data management, related software and hardware technologies, and mobile user services. The journal documents practical and theoretical results which make a fundamental contribution for the development of mobile communication technologies.
September 2021 - Top 10 Read Articles in Signal & Image Processingsipij
Signal & Image Processing : An International Journal is an Open Access peer-reviewed journal intended for researchers from academia and industry, who are active in the multidisciplinary field of signal & image processing. The scope of the journal covers all theoretical and practical aspects of the Digital Signal Processing & Image processing, from basic research to development of application.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Signal & Image processing.
June 2021: Top Read Articles in Signal & Image Processingsipij
Signal & Image Processing : An International Journal is an Open Access peer-reviewed journal intended for researchers from academia and industry, who are active in the multidisciplinary field of signal & image processing. The scope of the journal covers all theoretical and practical aspects of the Digital Signal Processing & Image processing, from basic research to development of application.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Signal & Image processing.
November 2021: Top Read Articles in Signal & Image Processingsipij
Signal & Image Processing : An International Journal is an Open Access peer-reviewed journal intended for researchers from academia and industry, who are active in the multidisciplinary field of signal & image processing. The scope of the journal covers all theoretical and practical aspects of the Digital Signal Processing & Image processing, from basic research to development of application.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Signal & Image processing.
December 2021: Top Read Articles in Signal & Image Processingsipij
Signal & Image Processing : An International Journal is an Open Access peer-reviewed journal intended for researchers from academia and industry, who are active in the multidisciplinary field of signal & image processing. The scope of the journal covers all theoretical and practical aspects of the Digital Signal Processing & Image processing, from basic research to development of application.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Signal & Image processing.
International Journal on Cybernetics & Informatics ( IJCI) is an open access peer- reviewed journal that focuses on the areas related to cybernetics which is information, control and system theory, understands the design and function of any system and the relationship among these applications. This journal aims to provide a platform for exchanging ideas in new emerging trends that needs more focus and exposure and will attempt to publish proposals that strengthen our goals.
July 2021: Top Read Articles in Signal & Image Processingsipij
Signal & Image Processing : An International Journal is an Open Access peer-reviewed journal intended for researchers from academia and industry, who are active in the multidisciplinary field of signal & image processing. The scope of the journal covers all theoretical and practical aspects of the Digital Signal Processing & Image processing, from basic research to development of application.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Signal & Image processing.
New research articles 2019 may issue international journal of computer networ...IJCNCJournal
The International Journal of Computer Networks & Communications (IJCNC) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Computer Networks & Communications. The journal focuses on all technical and practical aspects of Computer Networks & data Communications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced networking concepts and establishing new collaborations in these areas.
Top 5 most viewed articles from academia in 2019 - gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications
Trends in covolutional neural network in 2020 - International Journal of Arti...gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.
The AIRCC's International Journal of Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems. The IJCSIT is a open access peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication.
Wireless sensor networks (WSNs) have recently gained a lot of attention by scientific community. Small and inexpensive devices with low energy consumption and limited computing resources are increasingly being adopted in different application scenarios including environmental monitoring, target tracking and biomedical health monitoring. In many such applications, node localization is inherently one of the system parameters.
International journal of computer networks & communications (ijcnc) --no...IJCNCJournal
AIRCC's International Journal of Computer Network & Communications( IJCNC) is dedicated to strengthen the field of Computer Networks and Communications and publishes only good quality papers. IJCNC is highly selective and maintains less than 5% acceptance rate. All accepted papers will be tested for plagiarism manually as well as by Docoloc. Papers published in IJCNC has received enormous citations and has been regarded as one of the best Journal in the networking research field.
September 2021 - Top 10 Read Articles in Signal & Image Processingsipij
Signal & Image Processing : An International Journal is an Open Access peer-reviewed journal intended for researchers from academia and industry, who are active in the multidisciplinary field of signal & image processing. The scope of the journal covers all theoretical and practical aspects of the Digital Signal Processing & Image processing, from basic research to development of application.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Signal & Image processing.
June 2021: Top Read Articles in Signal & Image Processingsipij
Signal & Image Processing : An International Journal is an Open Access peer-reviewed journal intended for researchers from academia and industry, who are active in the multidisciplinary field of signal & image processing. The scope of the journal covers all theoretical and practical aspects of the Digital Signal Processing & Image processing, from basic research to development of application.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Signal & Image processing.
November 2021: Top Read Articles in Signal & Image Processingsipij
Signal & Image Processing : An International Journal is an Open Access peer-reviewed journal intended for researchers from academia and industry, who are active in the multidisciplinary field of signal & image processing. The scope of the journal covers all theoretical and practical aspects of the Digital Signal Processing & Image processing, from basic research to development of application.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Signal & Image processing.
December 2021: Top Read Articles in Signal & Image Processingsipij
Signal & Image Processing : An International Journal is an Open Access peer-reviewed journal intended for researchers from academia and industry, who are active in the multidisciplinary field of signal & image processing. The scope of the journal covers all theoretical and practical aspects of the Digital Signal Processing & Image processing, from basic research to development of application.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Signal & Image processing.
International Journal on Cybernetics & Informatics ( IJCI) is an open access peer- reviewed journal that focuses on the areas related to cybernetics which is information, control and system theory, understands the design and function of any system and the relationship among these applications. This journal aims to provide a platform for exchanging ideas in new emerging trends that needs more focus and exposure and will attempt to publish proposals that strengthen our goals.
July 2021: Top Read Articles in Signal & Image Processingsipij
Signal & Image Processing : An International Journal is an Open Access peer-reviewed journal intended for researchers from academia and industry, who are active in the multidisciplinary field of signal & image processing. The scope of the journal covers all theoretical and practical aspects of the Digital Signal Processing & Image processing, from basic research to development of application.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Signal & Image processing.
New research articles 2019 may issue international journal of computer networ...IJCNCJournal
The International Journal of Computer Networks & Communications (IJCNC) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Computer Networks & Communications. The journal focuses on all technical and practical aspects of Computer Networks & data Communications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced networking concepts and establishing new collaborations in these areas.
Top 5 most viewed articles from academia in 2019 - gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications
Trends in covolutional neural network in 2020 - International Journal of Arti...gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.
The AIRCC's International Journal of Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems. The IJCSIT is a open access peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication.
Wireless sensor networks (WSNs) have recently gained a lot of attention by scientific community. Small and inexpensive devices with low energy consumption and limited computing resources are increasingly being adopted in different application scenarios including environmental monitoring, target tracking and biomedical health monitoring. In many such applications, node localization is inherently one of the system parameters.
International journal of computer networks & communications (ijcnc) --no...IJCNCJournal
AIRCC's International Journal of Computer Network & Communications( IJCNC) is dedicated to strengthen the field of Computer Networks and Communications and publishes only good quality papers. IJCNC is highly selective and maintains less than 5% acceptance rate. All accepted papers will be tested for plagiarism manually as well as by Docoloc. Papers published in IJCNC has received enormous citations and has been regarded as one of the best Journal in the networking research field.
New research articles 2019 - July issue : International Journal of Computer ...IJCNCJournal
The International Journal of Computer Networks & Communications (IJCNC) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Computer Networks & Communications .The journal focuses on all technical and practical aspects of Computer Networks & data Communications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced networking concepts and establishing new collaborations in these areas.
Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the Computer Networks & Communications.
TOP CITED ARTICLES IN MOBILE NETWORK COMMUNICATIONS & TELEMATICS RESEARCH ART...ijmnct
International Journal of Mobile Network Communications & Telematics (IJMNCT) is an open access peer-reviewed journal that addresses the impacts and challenges of mobile communications and telematics. The journal also aims to focus on various areas such as ecommerce, e-governance, Telematics, Telelearning nomadic computing, data management, related software and hardware technologies, and mobile user services. The journal documents practical and theoretical results which make a fundamental contribution for the development of mobile communication technologies.
Top 10 Read Article - International Journal of Wireless & Mobile Networks (IJ...ijwmn
The International Journal of Wireless & Mobile Networks (IJWMN) is a bi monthly open access peer-reviewed journal that publishes
articles which contribute new results in all areas of Wireless & Mobile Networks. The journal focuses on all
technical and practical aspects of Wireless & Mobile Networks. The goal of this journal is to bring together
researchers and practitioners from academia and industry to focus on advanced wireless & mobile networking concepts
and establishing new collaborations in these areas.
May_2024 Top 10 Read Articles in Computer Networks & Communications.pdfIJCNCJournal
The International Journal of Computer Networks & Communications (IJCNC) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Computer Networks & Communications. The journal focuses on all technical and practical aspects of Computer Networks & data Communications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced networking concepts and establishing new collaborations in these areas.
IJCNC Top 10 Trending Articles in Academia !!!IJCNCJournal
The International Journal of Computer Networks & Communications (IJCNC) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Computer Networks & Communications. The journal focuses on all technical and practical aspects of Computer Networks & data Communications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced networking concepts and establishing new collaborations in these areas.
MOST READ ARTICLES IN ARTIFICIAL INTELLIGENCE - International Journal of Arti...gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.
International Journal of Embedded Systems and Applications (IJESA) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Embedded Systems and applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Embedded Systems and establishing new collaborations in these areas.
Most Cited Articles in Academia - International Journal of Computer Science a...IJCSES Journal
The AIRCC's International Journal of Computer Science and Engineering Survey (IJCSES) is devoted to fields of Computer Science and Engineering surveys, tutorials and overviews. The IJCSES is a peer-reviewed, open access scientific journal published in electronic form as well as print form. The journal will publish research surveys, tutorials and expository overviews in computer science and engineering. Articles from supplementary fields are welcome, as long as they are relevant to computer science and engineering
April 2023-Top Cited Articles in International Journal of Ubiquitous Computin...ijujournal
International Journal of Ubiquitous Computing (IJU) is a quarterly open access peer-reviewed journal that provides excellent international forum for sharing knowledge and results in theory, methodology and applications of ubiquitous computing. Current information age is witnessing a dramatic use of digital and electronic devices in the workplace and beyond. Ubiquitous Computing presents a rather arduous requirement of robustness, reliability and availability to the end user. Ubiquitous computing has received a significant and sustained research interest in terms of designing and deploying large scale and high performance computational applications in real life. The aim of the journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
Most Viewed Articles in Academia for an year - International Journal of Ubiqu...ijujournal
International Journal of Ubiquitous Computing (IJU) is a quarterly open access peer-reviewed journal that provides excellent international forum for sharing knowledge and results in theory, methodology and applications of ubiquitous computing. Current information age is witnessing a dramatic use of digital and electronic devices in the workplace and beyond. Ubiquitous Computing presents a rather arduous requirement of robustness, reliability and availability to the end user. Ubiquitous computing has received a significant and sustained research interest in terms of designing and deploying large scale and high performance computational applications in real life. The aim of the journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
TOP 10 MOBILE AND UBIQUITOUS COMPUTING PAPERS:: RECOMMENDED READING – COMPUTE...IJCSES Journal
Advances in wireless sensor network (WSN) technology has provided the availability of small
and low-costsensor nodes with capability of sensing various types of physical and environmental
conditions, data processing, and wireless communication. Variety of sensing capabilities results
in profusion of application areas. However, the characteristics of wireless sensor networks
require more effective methods for data forwarding and processing. In WSN, the sensor nodes
have a limited transmission range, and their processing and storage capabilities , as well as their
energy resources, are also limited. Routing protocols for wireless sensor networks are
responsible for maintaining the routes in the network and have to ensure reliable multi-hop
communication under these conditions. In this paper, we give a survey of routing protocols for
Wireless Sensor Network and compare their strengths and limitations.
TOP 1 CITED PAPER - International Journal of Artificial Intelligence & Appli...gerogepatton
The cuckoo search algorithm is a recently developed meta-heuristic optimization algorithm, which is suitable for solving optimization problems. To enhance the accuracy and convergence rate of this algorithm, an improved cuckoo search algorithm is proposed in this paper. Normally, the parameters of the cuckoo search are kept constant. This may lead to decreasing the efficiency of the algorithm. To cope with this issue, a proper strategy for tuning the cuckoo search parameters is presented. Then, it is employed for training feedforward neural networks for two benchmark classification problems. Finally, the performance of the proposed algorithm is compared with that of the standard cuckoo search. Simulation results demonstrate the effectiveness of the proposed algorithm.
TOP Most Read Articles in Informatics Engineeringieijjournal
Informatics is rapidly developing field. The study of informatics involves human-computer interaction and how an interface can be built to maximize user-efficiency. Due to the growth in IT, individuals and organizations increasingly process information digitally. This has led to the study of informatics to solve privacy, security, healthcare, education, poverty, and challenges in our environment. The Informatics Engineering, an International Journal (IEIJ) is a open access peer-reviewed
journal that publishes articles which contribute new results in all areas of Informatics. The goal of this journal is to bring together researchers and practitioners
from academia and industry to focus on the human use of computing fields such as communication, mathematics, multimedia, and human-computer interaction design and establishing new collaborations in these areas.
January 2024 Top 10 Read Article -International Journal of Wireless & Mobile ...ijwmn
The International Journal of Wireless & Mobile Networks (IJWMN) is a bi monthly open access peer- reviewed journal that publishes articles which contribute new results in all areas of Wireless & Mobile Networks. The journal focuses on all technical and practical aspects of Wireless & Mobile Networks. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced wireless & mobile networking concepts and establishing new collaborations in these areas. Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Wireless and Mobile Networks.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
1. March 2021: Top Read
Articles in Soft Computing
International Journal on Soft Computing ( IJSC )
ISSN: 2229 - 6735 [Online]; 2229 - 7103 [Print]
http://airccse.org/journal/ijsc/ijsc.html
2. CLASSIFICATION OF VEHICLES BASED ON AUDIO SIGNALS USING QUADRATIC
DISCRIMINANT ANALYSIS AND HIGH ENERGY FEATURE VECTORS
A. D. Mayvana
, S. A. Beheshtib
, M. H. Masoomc a
a
Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
b
Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran.
c
Department of Mechanical Engineering, BabolNoshirvani University of Technology, Babol, Iran.
ABSTRACT
The focus of this paper is on classification of different vehicles using sound emanated from the
vehicles. In this paper, quadratic discriminant analysis classifies audio signals of passing vehicles
to bus, car, motor, and truck categories based on features such as short time energy, average zero
cross rate, and pitch frequency of periodic segments of signals. Simulation results show that just by
considering high energy feature vectors, better classification accuracy can be achieved due to the
correspondence of low energy regions with noises of the background. To separate these elements,
short time energy and average zero cross rate are used simultaneously. In our method, we have used
a few features which are easy to be calculated in time domain and enable practical implementation
of efficient classifier. Although, the computation complexity is low, the classification accuracy is
comparable with other classification methodsbased on long feature vectors reported in literature for
this problem.
KEYWORD
Classification accuracy; Periodic segments; Quadratic Discriminant Analysis; Separation criterion;
Short time analysis.
ORIGINAL SOURCE URL: http://airccse.org/journal/ijsc/papers/6115ijsc05.pdf
http://airccse.org/journal/ijsc/current2015.html
3. REFERENCES
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5. DETERMINATION OF OVER-LEARNING AND OVER-FITTING PROBLEM IN
BACK PROPAGATION NEURAL NETWORK
Gaurang Panchal1
, Amit Ganatra2
, Parth Shah3
, Devyani Panchal4
Department of Computer Engineering, Charotar Institute of Technology (Faculty of
Technology and Engineering), Charotar University of Science and Technology, Changa,
Anand-388 421, INDIA
ABSTRACT
A drawback of the error-back propagation algorithm for a multilayer feed forward neural
network is over learning or over fitting. We have discussed this problem, and obtained necessary
and sufficient Experiment and conditions for over-learning problem to arise. Using those
conditions and the concept of a reproducing, this paper proposes methods for choosing training
set which is used to prevent over-learning. For a classifier, besides classification capability, its
size is another fundamental aspect. In pursuit of high performance, many classifiers do
not take into consideration their sizes and contain numerous both essential and insignificant
rules. This, however, may bring adverse situation to classifier, for its efficiency will been put
down greatly by redundant rules. Hence, it is necessary to eliminate those unwanted rules. We
have discussed various experiments with and without over learning or over fitting problem.
KEYWORDS
Neural Network, learning, Hidden Neurons, Hidden Layers
ORIGINAL SOURCE URL : http://airccse.org/journal/ijsc/papers/2211ijsc04.pdf
http://airccse.org/journal/ijsc/current2011.html
6. REFERENCES
[1] Carlos Gershenson , “Artificial Neural Networks for Beginners”
[2] Vincent Cheung ,Kevin Cannons, “An Introduction to Neural Networks”, Signal & Data
Compression Laboratory, Electrical & Computer Engineering University of Manitoba, Winnipeg,
Manitoba, Canada
[3] “Artificial Neural Networks” ocw.mit.edu
[4] Guoqiang Peter Zhang , “Neural Networks for Classification: A Survey”, IEEE TRANSACTIONS
ON SYSTEMS, MAN, AND CYBERNETICS—PART C: APPLICATIONS AND REVIEWS,
VOL. 30, NO. 4, NOVEMBER 2000
[5] V.P. Plagianakos, G.D. Magoulas, M.N. Vrahatis, “Learning rate adaptation in stochastic gradient
descent”, ,Department of Mathematics, University of Patras,
[6] Wen Jin-Wei Zhao, Jia-Li Luo Si-Wei and Han Zhen “ The Improvements of BP Neural Network
Learning Algorithm”, Department of Computer Science & Technology,Northem Jiaotong
University ,BeiJing, 100044, P.R.China,
[7] Wenjian Wang, Weizhen Lu, Andrew Y T Leung, Siu-Ming Lo, Zongben Xu, “Optimal feed-
forward neural networks based on the combination of constructing and pruning by genetic algorithms”,
IEEE TRANSACTIONS ON NEURAL NETWORKS 2002
[8] “A Detailed Comparison of Backpropagation Neural Network and Maximum- Likelihood Classifiers
for Urban Land Use Classification”,IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE
SENSING, VOL. 33, NO. 4, JULY 199.5
[9] Z. J. Liu C. Y. Wang Z. Niu A. X. Liu ”Evolving Multi-spectral Neural Network Classifier Using a
Genetic Algorithm”. Laboratory of Remote Sensing Information Sciences, the Institute
of Remote Sensing Applications,
[10]Fiszelew, A., Britos, P., Ochoa, A., Merlino, H., Fernández, E., García-Martínez “Finding Optimal
Neural Network Architecture Using Genetic Algorithms”, R.Software & Knowledge Engineering Center.
Buenos Aires Institute of Technology.Intelligent Systems Laboratory. School of Engineering.
University of Buenos Aires.
[11]M.P.Craven, “A FASTER LEARNING NEURAL NETWORK CLASSIFIER
USING SELECTIVE BACKPROPAGATION” Proceedings of the Fourth IEEE International
Conference on Electronics, Circuits and Systems
[12] Wenjian Wang, Weizhen Lu, Andrew Y T Leung, Siu-Ming Lo, Zongben Xu, “Optimal feed-
forward neural networks based on the combination of constructing and pruning by genetic algorithms”,
IEEE TRANSACTIONS ON NEURAL NETWORKS 2002
[13] Teresa B. Ludermir, Akio Yamazaki, and Cleber Zanchettin, “An Optimization Methodology for
Neural Network Weights and Architectures” IEEE TRANSACTIONS ON NEURAL NETWORKS,
VOL. 17, NO. 6, NOVEMBER 2006
[14]S. Rajasekaran, G.A Vijayalakshmi Pai, “Neural Networks, Fuzzy Logic, and Genetic Algorithms
Synthesis and Applications” International Journal on Soft Computing (IJSC), Vol.2,No.2, May2011 51
[15]Mrutyunjaya Panda and Manas Ranjan Patra, “NETWORK INTRUSION DETECTION USING
NAÏVE BAYES” IJCSNS International Journal of Computer Science and Network Security,
7. VOL.7 No.12, December 2007
[16]S. SELVAKANI1 and R.S.RAJESH2, “Escalate Intrusion Detection using GA – NN”, Int. J.
Open Problems Compt. Math., Vol. 2, No. 2, June 2009
[17] Nathalie Villa*(1,2) and Fabrice Rossi(3), Recent advances in the use of SVM for functional data
classification, First International Workshop on Functional and Operatorial Statistics. Toulouse,
June 19-21, 2008
KDD Cup’99 Data set , http://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html
8. APPLICATION OF GENETIC ALGORITHM OPTIMIZED NEURAL NETWORK
CONNECTION WEIGHTS FOR MEDICAL DIAGNOSIS OF PIMA INDIANS
DIABETES
Asha Gowda Karegowda1
, A.S. Manjunath2
, M.A. Jayaram3
1,3
Dept. of Master of Computer Applications ,Siddaganga Institute of Technology,
Tumkur, India
2
Dept. of Computer Science, Siddaganga Institute of Technology, Tumkur India
ABSTRACT
Neural Networks are one of many data mining analytical tools that can be utilized to make
predictions for medical data. Model selection for a neural network entails various factors such as
selection of the optimal number of hidden nodes, selection of the relevant input variables and
selection of optimal connection weights. This paper presents the application of hybrid model that
integrates Genetic Algorithm and Back Propatation network(BPN) where GA is used to initialize
and optmize the connection weights of BPN. Significant feactures identified by using two
methods :Decision tree and GA-CFS method are used as input to the hybrid model to diagonise
diabetes mellitus. The results prove that, GA-optimized BPN approach has outperformed the
BPN approach without GA optimization. In addition the hybrid GA-BPN with relevant inputs
lead to further improvised categorization accuracy compared to results produced by GA-BPN
alone with some redundant inputs.
KEYWORDS
Back Propagation Network, Genetic algorithm, connection weight optimisation.
ORIGINAL SOURCE URL : http://airccse.org/journal/ijsc/papers/2211ijsc02.pdf
http://airccse.org/journal/ijsc/current2011.html
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[12] Rajasekaran, S and G. A Vijayalakshmi Pai (1996), Genetic Algorithm based Weight
Determination for Backpropogation Networks, Proc of the Fourth Int Conf on Advanced
Computing, pp 73-79).
[13] Osman Ahmed, Mohd Nord, Suziah Sulaiman, Wan Fatimah,(2009), ”Study of Genetic
Algorithm to Fully-automate the Design and Training of Artificial Neural
Network”,International Journal of Computer Science and Network Security, VOL.9No.1.
[14] H. Paul S., G. Ben S., T. Thomas G., W. Robert S.,(2004), ” Use of genetic algorithms for
neural networks to predict community-acquired pneumonia”, Artificial Intelligence in Medicine,
Vol. 30, Issue 1, pp.71-84.
[15] D.Shanti, G. Sahoo , N. Saravanan, (2009), “ Evolving Connection Weights of ANN using
10. GA with application to the Prediction of Stroke Disease”, International Journal of Soft
Computing 4(2):pp95- 102, Medwell Publishing.
[16] R.V. Murali, Member, IAENG, A.B.Puri, and G.Prabhakaran ,(2010), “GA-Driven ANN
Model for Worker Assignment into Virtual Manufacturing Cells”,Proceedings of the World
Congress on Engineering 2010 Vol III, London, U.K.
[17] H. Salehi, S. Zeinali Heris*, M. Koolivand Salooki and S. H. Noei,(2011),” Designing a
NN for closed Themosyphon with Nanofluid using a GA”, Brazilian Journal of Chemical
Engineering ,Vol. 28, No. 01, pp. 157 – 168.
[18] Jennifer G. Dy, (2004),Feature Selection for Unsupervised Learning, Journal of Machine
Learning, pp845-889.
[19] M.A.Jayaram, Asha Gowda Karegowda,(2007),” Integrating Decision Tree and ANN for
Categorization of Diabetics Data”, International Conference on Computer Aided Engineering,
IIT Madras, Chennai, India.
[20] Asha Gowda Karegowda and M.A.Jayaram, (2009),”Cascading GA & CFS for feature
subset selection in Medial data mining”, IEEE International Advance Computing Conference,
Patiyala, India
[21] Asha Gowda Karegowda, A. S. Manjunath & M.A.Jayaram,(2010), Comparative study of
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11. APPLICATION OF FUZZY LOGIC IN TRANSPORT PLANNING
Amrita Sarkar1
, G.Sahoo2
and U.C.Sahoo3
1
Research Scholar, Department of Information Technology, B.I.T Mesra, Ranchi
2
Professor and Head,Department of Information Technology, B.I.T, Mesra, Ranchi
3
Assistant Professor, Department of Civil Engineerng, I.I.T, Bhabaneswar
ABSTRACT
Fuzzy logic is shown to be a very promising mathematical approach for modelling traffic and
transportation processes characterized by subjectivity, ambiguity, uncertainty and imprecision.
The basic premises of fuzzy logic systems are presented as well as a detailed analysis of fuzzy
logic systems developed to solve various traffic and transportation planning problems. Emphasis
is put on the importance of fuzzy logic systems as universal approximators in solving traffic and
transportation problems. This paper presents an analysis of the results achieved using fuzzy logic
to model complex traffic and transportation processes.
KEYWORDS
Fuzzy Logic, Transportation Planning, Mathematical modeling
ORIGINAL SOURCE URL : http://airccse.org/journal/ijsc/papers/3211ijsc01.pdf
http://airccse.org/journal/ijsc/current2012.html
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51. Zadeh, L.,(1973) “Outline of a new approach to the analysis of complex systems and decision
processes”, IEEE Transactions on Systems, Man and Cybernetics SMC-3, pp. 28-44.
AUTHORS
Amrita Sarkar
Amrita Sarkar is a graduate Engineer in Information Technology with a post
graduation in Remote Sensing. She is presently a PhD Research Fellow at the
Department of Information Technology, Mes ra, India. She has got few research
publications in her area of specialization. Her areas of interests include Soft
Computing, Artificial Intelligence, Data Mining, DBMS and Image Processing.
Dr. G. Sahoo
Dr. G. Sahoo received his MSc in Mathematics from Utkal University in the year
1980 and PhD in the area of Computational Mathematics from Indian Institute of
Technology, Kharagpur in the year 1987. He has been associated with Birla Institute
of Technology, Mesra, Ranchi, India since 1988, and currently, he is working as a
Professor and Head in the Department of Information Technology. His r esearch
interest includes theoretical computer science, parallel and distributed computing,
evolutionary computing, information security, image processing and pattern
recognition.
Dr. U. C. Sahoo
Dr. U. C. Sahoo is working as an Assistant Professor in the Department of Civil
Engineering, Indian Institute of Technology, Bhubaneswar and is an expert in the
field of Transportation Engineering. He has more than eight years of teaching and
research experience. Presently he is engaged in re search in the area of transportation
planning, road safety and pavement engineering and published many papers in these
areas.
16. MULTISPECTRAL IMAGE ANALYSIS USING RANDOM FOREST
Barrett Lowe and Arun Kulkarni
Department of Computer Science, The University of Texas at Tyler
ABSTRACT
Classical methods for classification of pixels in multispectral images include supervised classifiers such
as the maximum-likelihood classifier, neural network classifiers, fuzzy neural networks, support vector
machines, and decision trees. Recently, there has been an increase of interest in ensemble learning – a
method that generates many classifiers and aggregates their results. Breiman proposed Random Forestin
2001 for classification and clustering. Random Forest grows many decision trees for classification. To
classify a new object, the input vector is run through each decision tree in the forest. Each tree gives a
classification. The forest chooses the classification having the most votes. Random Forest provides a
robust algorithm for classifying large datasets. The potential of Random Forest is not been explored in
analyzing multispectral satellite images. To evaluate the performance of Random Forest, we classified
multispectral images using various classifiers such as the maximum likelihood classifier, neural network,
support vector machine (SVM), and Random Forest and compare their results.
KEYWORDS
Classification, Decision Trees, Random Forest, Multispectral Images
ORIGINAL SOURCE URL : http://airccse.org/journal/ijsc/papers/6115ijsc01.pdf
http://airccse.org/journal/ijsc/current2015.html
17. REFERENCES
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AUTHORS
Barrett Lowe received his bachelor’s degree in drama from the University of North
Carolina at Greensboro. He is currently a graduate student in the computer science
department at the University of Texas at Tyler. His research interests include data
mining, pattern recognition, machine learning, and decision trees. He is a student
member of IEEE and aspires to pursue a Ph. D. in computer science.
Dr. Arun Kulkarni, Professor of Computer Science, has been with The University of
Texas at Tyler since 1986. His areas of interest include soft computing, data mining,
artificial intelligence, computer vision. He has more than seventy refereed papers to his
credit, and he has authored two books. His awards include the Office of Naval Research
(ONR) 2008 Senior Summer Faculty Fellowship award, 2005-2006 President’s Scholarly
Achievement Award, 2001-2002 Chancellor's Council Outstanding Teaching award, and
the 1984 Fulbright Fellowship award. He has been listed in who's who in America. He
has successfully completed eight research grants during the past twenty years. Dr. Kulkarni obtained his
Ph.D. from the Indian Institute of Technology, Bombay, and was a post-doctoral fellow at Virginia Tech.
19. HASH FUNCTION IMPLEMENTATION USING ARTIFICIAL NEURAL
NETWORK
V. R. Kulkarni1, Shaheen Mujawar2
and Sulabha Apte3
1
Department of Information Science and Engineering, Gogte Institute of
Technology, VTU University, Belgaum, Karnataka, India
2
Department of Computer science and Engineering, Gogte Institute of Technology, VTU
University, Belgaum, Karnataka, India
3
Department of Computer science and Engineering, Walchand Institute of Technology,
Solapur
ABSTRACT
In this paper an algorithm for one-way hash function construction based on a two layer feed
forward neural network along with the piece-wise linear (pwl) chaotic map is proposed. Based
on chaotic neural networks, a Hash function is constructed, which makes use of neural
networks' diffusion property and chaos' confusion property. This function encodes the
plaintext of arbitrary length into the hash value of fixed length (typically, 128-bit, 256-bit or
512-bit). Theoretical analysis and experimental results show that this hash function is one-
way, with high key sensitivity and plaintext sensitivity, and secure against birthday attacks or
meet-in-the-middle attacks. These properties make it a suitable choice for data signature or
authentication.
KEYWORDS
One-way Hash function, Neural network, Chaotic map, Plaintext Sensitivity
ORIGINAL SOURCE URL : http://airccse.org/journal/ijsc/papers/1110ijsc01.pdf
http://airccse.org/journal/ijsc/current2010.html
20. REFERENCES
[1] Shiguo Lian, Zhongxuan Liu, Zhen Ren, Haila Wang, “Hash Function Based on Chaotic Neural
Networks” IEEE, 2006.
[2] Shiguo Lian,Jinsheng Sun,Zhiquan Wang, “ One-way Hash Function Based on Neural Network”
Journal of Information Assurance and Security,2006
[3] Yi Du, Detang Lu, Daolun Li,“An Effective Hash-based Method for Generating Synthetic Well
Log” 2008 IEEE.
[4] Qun-ting Yang,Tie-gang Gao,Li Fan,Qiao-lun Gu, “ Analysis of One-way Alterable Length Hash
Function Based on Cell Neural Network” Fifth Intenational Conference on Information Assurance and
Security,2009
[5] Qinghua Zhang,Han Zhang and Zhaohui Li,”One-way Hash Function Construction Based on
Conservative Chaotic Systems” Journal of Information Assurance and Security, 5, pp.171-178, 2010
[6] M.K. Rachel, K. Einat, K. Ido, Wolfgang, "Public Channel 012. Cryptography by
Synchronization of Neural Networks and ChaoticMaps," Physical Review Letters, Vol. 91, No.11, Sep
12, 2003: 118701/1-118701/4. International Journal on Soft Computing ( IJSC ), Vol.1, No.1,
November 2010 8
[7] L.P. Yee, D. L.C. Silva, "Application of Multilayer Perceptron Network as a One-way Hash
Function” International Joint Conference on Neural Networks, Vol. 2,2002.
[8] Li, C., S. Li, D. Zhang and G. Chen,”Cryptanalysis of a chaotic neural network based multimedia
encryption scheme”. Advances in Multimedia Information Processing PCM ,2004 .
[9] Khalil Shihab, “A Backpropagation Neural Network for Computer Network Security” Journal of
Computer Science 2 (9): 710-715, 2006.
[10] C.-K. Chan and L.M. Cheng. The convergence properties of a clipped Hopfield network and its
application in the design of key stream generator, IEEE Transactions on Neural Networks, Vol.12, No.
2,pp. 340-348, March 2001.
[11] D.A. Karras and V. Zorkadis. On neural network techniques in the secure management of
communication systems through improving and quality assessing pseudorandom stream
generators.Neural Networks, Vol. 16, No. 5-6, June - July, 2003: 899-905
[12] S.G. Lian, G.R. Chen, A. Cheung, Z.Q. Wang. A Chaotic-Neural-Network-Based Encryption
Algorithm for JPEG2000 Encoded Images. In: Processing of 2004 IEEE Symposium on Neural
Networks (ISNN2004), Dalian, China, Springer LNCS, 3174 (2004) 627-632.
[13] Liew Pol Yee and L.C. De Silva. Application of multilayer perception networks in symmetric
block ciphers. Proceedings of the 2002 International Joint Conference on Neural Networks, Honolulu,
HI, USA, Vol. 2, 12-17 May 2002: 1455 – 1458.
[14] N. Masuda, K. Aihara, "Cryptosystems With Discretized Chaotic Maps," IEEE Transactions on
Circuits and Systems I: Fundamental Theory and Applications, Vol. 49, No. 1, Jan 2002.
21. [15] H.P. Lu, S.H. Wang, G. Hu, "Pseudo-random number generator based on coupled map
lattices,"International Journal of Modern Physics B 2004; 18(17-19): 2409-2414.
[16] William Stallings. Cryptography and Network Security, Third Edition.
[17] NIST.Secure Hash Standard. Federal Information Processing Standard. FIPS-180- 1.April 1995
[18] S Sivanandam .S Sumathi Introduction to Neural Networks Using MATLAB 6. 0 (Computer
Science Series)
[19] Rudra Pratap Getting Started With MATLAB 7 - A Quick Introduction For Scientists And
Engineers
[20] www.mathwork.com
22. METHODOLOGICAL STUDY OF OPINION MINING AND SENTIMENT ANALYSIS
TECHNIQUES
Pravesh Kumar Singh1
, Mohd Shahid Husain2
1
M.Tech, Department of Computer Science and Engineering, Integral University, Lucknow,
India
2
Assistant Professor, Department of Computer Science and Engineering, Integral University,
Lucknow, India
ABSTRACT
Decision making both on individual and organizational level is always accompanied by the
search of other’s opinion on the same. With tremendous establishment of opinion rich resources
like, reviews, forum discussions, blogs, micro-blogs, Twitter etc provide a rich anthology of
sentiments. This user generated content can serve as a benefaction to market if the semantic
orientations are deliberated. Opinion mining and sentiment analysis are the formalization for
studying and construing opinions and sentiments. The digital ecosystem has itself paved way for
use of huge volume of opinionated data recorded. This paper is an attempt to review and evaluate
the various techniques used for opinion and sentiment analysis.
KEYWORDS
Opinion Mining, Sentiment Analysis, Feature Extraction Techniques, Naïve Bayes Classifiers,
Clustering, Support Vector Machines
ORIGINAL SOURCE URL : http://airccse.org/journal/ijsc/papers/5114ijsc02.pdf
http://airccse.org/journal/ijsc/current2014.html
23. REFERENCES
[1] Ion SMEUREANU, Cristian BUCUR, Applying Supervised Opinion Mining Techniques on Online
User Reviews, Informatica Economică vol. 16, no. 2/2012.
[2] Bo Pang and Lillian Lee, “Opinion Mining and Sentiment Analysis”, Foundations and TrendsR_ in
Information Retrieval Vol. 2, Nos. 1–2 (2008).
[3] Abbasi, “Affect intensity analysis of dark web forums,” in Proceedings of Intelligence and Security
Informatics (ISI), pp. 282–288, 2007.
[4] K. Dave, S. Lawrence & D. Pennock. Mining the Peanut Gallery: Opinion Extraction and Semantic
Classi_cation of Product Reviews." Proceedings of the 12th International Conference on World Wide
Web, pp. 519-528, 2003.
[5] B. Liu. Web Data Mining: Exploring hyperlinks, contents, and usage data," Opinion Mining.
Springer, 2007.
[6] B. Pang & L. Lee, Seeing stars: Exploiting class relationships for sentiment categorization with
respect to rating scales." Proceedings of the Association for Computational Linguistics (ACL), pp.
15124,2005.
[7] Nilesh M. Shelke, Shriniwas Deshpande, Vilas Thakre, Survey of Techniques for Opinion Mining,
International Journal of Computer Applications (0975 – 8887) Volume 57– No.13, November 2012.
[8] Nidhi Mishra and C K Jha, Classification of Opinion Mining Techniques, International Journal of
Computer Applications 56 (13):1-6, October 2012, Published by Foundation of Computer Science, New
York, USA.
[9] Oded Z. Maimon, Lior Rokach, “Data Mining and Knowledge Discovery Handbook” Springer, 2005.
[10] Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan. “Sentiment classification using machine
learning techniques.” In Proceedings of the 2002 Conference on Empirical Methods in Natural Language
Processing (EMNLP), pages 79–86.
[11] Towards Enhanced Opinion Classification using NLP Techniques, IJCNLP 2011, pages 101–107,
Chiang Mai, Thailand, November 13, 2011
AUTHOR
Pravesh Kumar Singh is a fine blend of strong scientific orientation and editing.
He is a Computer Science (Bachelor in Technology) graduate from a renowned
gurukul in India called Dr. Ram Manohar Lohia Awadh University with
excellence not only in academics but also had flagship in choreography. He
mastered in Computer Science and Engineering from Integral University,
Lucknow, India. Currently he is acting as Head MCA (Master in Computer
Applications) department in Thakur Publications and also working in the capacity
of Senior Editor.
24. MULTI OBJECTIVE FLEXIBLE JOB SHOP SCHEDULING USING A MODIFIED
INVASIVE WEED OPTIMIZATION
Souad Mekni and Besma Chaâr Fayéch
National School of Engineering of Tunis, Tunisia, LR-ACS-ENIT
ABSTRACT
Recently, many studies are carried out with inspirations from ecological phenomena for
developing optimization techniques. The new algorithm that is motivated by a common
phenomenon in agriculture is colonization of invasive weeds. In this paper, a modified invasive
weed optimization (IWO) algorithm is presented for optimization of multiobjective flexible job
shop scheduling problems (FJSSPs) with the criteria to minimize the maximum completion time
(makespan), the total workload of machines and the workload of the critical machine. IWO is a
bio-inspired metaheuristic that mimics the ecological behaviour of weeds in colonizing and
finding suitable place for growth and reproduction. IWO is developed to solve continuous
optimization problems that’s why the heuristic rule the Smallest Position Value (SPV) is used to
convert the continuous position values to the discrete job sequences. The computational
experiments show that the proposed algorithm is highly competitive to the state-of-the-art
methods in the literature since it is able to find the optimal and best-known solutions on the
instances studied.
KEYWORDS
Invasive Weed Optimization, Metaheuristics, Multiobjective optimization, Flexible job shop
scheduling problem, Smallest Position Value.
ORIGINAL SOURCE URL : http://airccse.org/journal/ijsc/papers/6115ijsc03.pdf
http://airccse.org/journal/ijsc/current2015.html
25. REFERENCES
[1] A R, Mehrabian. & C, Lucas, (2006) “A novel numerical optimization algorithm inspired from weed
colonization”, Ecological Informatics, Vol.1, pp355-366.
[2] M , Sakarovitch, (1984) “Optimisation combiantoire. Méthodes mathématiques et algorithmiques.
Hermann, Editeurs des sciences et des arts, Paris.
[3] R, Dupas, (2004) “ amelioration de performances des systems de production: apport des algorithms
évolutionnistes aux problems d’ordonnancement cycliques et flexibles, Habilitation , Artois university.
[4] A R, Mehrabian & A, Yousefi-Koma (2007) “Optimal Positioning of Piezoelectric actuators on a
smart fin using bio-inspired algorithms”, Aerospace Science and technology, Vol 11, pp 174-182.
[5] H, Sepehri Rad & C, Lucas (2007) “ A recommender system based on invasive weed optimization
algorithm”, IEEE Congress on Evolutionary Computation, CEC 2007, pp 4297-4304.
[6] M, Sahaheri-Ardakani & M.Rshanaei & A, Rahimi-Kian & C, Lucas (2008) “ A study of electricity
market dynamics using invasive weed colonization optimization”, in Proc.IEEE Symp. Comput.Intell.
Games, pp 276-282.
[7] A, R, Mallahzadeh & S, Es’haghi & A, Alipour (2009) “Design of an E shaped MIMO antenna using
IWO algorithm for wireless application at 5.8 Ghz”, Progress in Electromagnetic Research, PIER 90, pp
187-203.
[8] X, Zhang & Y,Wang & G, Cui & Y, Niu & J, Xu (2009) “Application of a novel IWO to the design of
encoding sequence for DNA Computing, Comput. Math. Appl. 57, pp 2001-2008.
[9] Z, D, Zaharis & C, Skeberis & T, D, Xenos (2012) “Improved antenna array adaptive beamforming
with low side lobe level using a novel adaptive invasive weed optimization method” , Progress in
Electromagnetics Research , Vol 124, pp 137-150.
[10] S, Mekni & B, Châar Fayéch & M, Ksouri (2010) “ TRIBES application to the flexible job shop
scheduling problem”, IMS 2010 10th IFAC Workshop on Intelligent Manufacturing Systems, Lisbon,
Portugal, July 1st -2nd 2010.
[11] I, Kacem & S, Hammadi & P, Borne (2002) “ Approach by localization and multiobjective
evolutionary optimization for flexible job shop scheduling problems. IEEE Trans Systems, Man and
Cybernetics, Vol 32,pp 245-276.
[12] W, Xia & Z, Wu (2005) “ An effective hybrid optimization approach for multiobjective flexible job
shop scheduling problems, Journal of Computers and Industrial Engineering, Vol 48,pp 409-425.
26. AUTHORS
Souad Mekni: received the diploma of Engineer in Computer Science from the Faculty of Science of
Tunis (Tunisia) in 2003 and the Master degree in Automatic and Signal Processing from the National
Engineering School of Tunis (Tunisia) in 2005. She is currently pursuing the Ph.D.degree in Electrical
Engineering at the National Engineering School of Tunis. Her research interests include production
scheduling, genetic algorithms, particle swarm optimization, multiobjective optimization, Invasive Weed
Optimization and artificial intelligence.
Besma Fayéch Chaâr: received the diploma of Engineer in Industrial Engineering from the National
Engineering School of Tunis (Tunisia) in 1999, the D.E.A degree and the Ph.D degree in Automatics and
Industrial Computing from the University of Lille (France), in 2000, 2003, respectively. Currently, she is
a teacher assistant in the Higher School of Sciences and Techniques of Tunis (Tunisia). Her research
interests include scheduling, genetic algorithms, transportation systems, multiagent systems and
decisionsupport systems.
27. A HYBRID MODEL FOR BANKRUPTCY PREDICTION USING GENETIC ALGORITHM,
FUZZY C-MEANS AND MARS
1
A.Martin 2
V.Gayathri 3
G.Saranya 4
P.Gayathri 5
Dr.Prasanna Venkatesan
1
Research scholar, Dept. of Banking Technology, Pondicherry University, Pondicherry, India.
2,3,4
Student of IT, Sri Manakula Vinayagar Engineering College, Pondicherry, India.
5
Associate Professor, Dept. of Banking Technology, Pondicherry University, Pondicherry, India.
ABSTRACT
Bankruptcy prediction is very important for all the organization since it affects the economy and
rise many social problems with high costs. There are large number of techniques have been
developed to predict the bankruptcy, which helps the decision makers such as investors and
financial analysts. One of the bankruptcy prediction models is the hybrid model using Fuzzy C-
means clustering and MARS, which uses static ratios taken from the bank financial statements
for prediction, which has its own theoretical advantages. The performance of existing bankruptcy
model can be improved by selecting the best features dynamically depend on the nature of the
firm. This dynamic selection can be accomplished by Genetic Algorithm and it improves the
performance of prediction model. .
KEYWORDS
Bankruptcy prediction, financial ratio models, Genetic Algorithm, Fuzzy c-means Clustering,
MARS.
ORIGINAL SOURCE URL : http://airccse.org/journal/ijsc/papers/2111ijsc02.pdf
http://airccse.org/journal/ijsc/current2011.html
28. REFERENCES
[1] A comparison of alternative bankruptcy prediction models - Y. Wu*, C. Gaunt, S. Gray, 2010, Journal
of Contemporary Accounting & Economics 6 (2010) 34–45
[2] A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters-
Dunn, J. C. (1973). Journal of Cybernetics, 3, 32–57.
[3] A genetic algorithm application in bankruptcy prediction modeling-Kyung-Shik Shin*, Yong-Joo
Lee, 2002, Expert Systems with Applications xx (2002) xxx–xxx
[4] A Genetic Fuzzy Neural Network for Bankruptcy Prediction in Chinenese Corporation – Huang Fu-
yuan, 2008, IEEE, 542-546
[5] Applying Back Propagation Neural Network and Sequential Pattern Mining to Construct Corporation
Crisis Prediction Model - Shu-Chuan Lo, Ching-Ching Lin (2009) IEEE , 2009, 409-414 .
[6] Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive
Regression Splines (MARS) Javier De Andrés, Pedro Lorca, Francisco Javier de Cos Juez, Fernando
Sánchez-Lasheras, 2010 Expert Systems with Applications 38 (2011) 1866–1875
[7] Bankruptcy Prediction by Generalized Additive Models - Daniel Berg (2005)
[8] Bankruptcy Prediction in Banks by Fuzzy Rule Based Classifier - P. Ravi Kumar, V. Ravi, 2006.
IEEE, Transcations on Fuzzy System.
[9] Credit scoring using the hybrid neural discriminant technique - Lee, T. S., Chiu, Ch. Ch., Lu, Ch. J., &
Chen, I. F. (2002). Expert Systems with Applications 23(3), 245–254.
[10] Financial credit-risk evaluation with neural and neurofuzzy systems. . Piramuthu, S. (1999).
European Journal of Operational Research, 112 310–321.
[11] Financial ratios and the probabilistic prediction of bankruptcy- Ohlson, James, 1980.Journal of
Accounting Research 18, 109–131.
[12] Financial ratios as predictors of failure - Beaver, William H., 1966, Journal of Accounting Research,
71–111.
[13] Financial ratios, discriminant analysis and the prediction of corporate bankruptcy- Altman, Edward.
I., 1968, Journal of Finance 23, 589–609.
[14] Forecasting bankruptcy more accurately: a simple hazard model- Shumway, Tyler, 2001, Journal of
Business 74, 101–124.
[15] Fuzzy Logic for Embedded Systems Applications- Ahmad M.Ibrahim, Elsevier Science, 2004[USA]
[16] Methodological issues related to the estimation of financial distress prediction modelsZmijewski,
Mark E., 1984. Journal of Accounting Research 22 (Suppl.), 59–82.8
[17] Multivariate adaptive regression splines. Annals of Statistics- Friedman, J. H. (1991). 19, 1–141.
[18] Pattern recognition with fuzzy objective function algorithms- Bezdek, J. C. (1981). New York:
Plenum Press.
[19] The elements of statistical learning. - Hastie, T., Tibshirani, R., & Friedman, J. H. (2003). New
York: Springer, Verlag.
29. A DECISION SUPPORT SYSTEM FOR TUBERCULOSIS DIAGNOSABILITY
Navneet Walia1
, Harsukpreet Singh2
, Sharad Kumar Tiwari3
and Anurag Sharma4
1, 2, 4
Department of Electronics and Communication Engineering, CT Institute of Technology
and Research (PTU), Jalandhar
3
Department of Electrical and Instrumentation, Thapar University, Patiala
ABSTRACT
In order to cope with real-world problems more effectively, we tend to design a decision support
system for tuberculosis bacterium class identification. In this paper, we are concerned to propose
a fuzzy diagnosability approach, which takes value between {0, 1} and based on observability of
events, we formalized the construction of diagnoses that are used to perform diagnosis. In
particular, we present a framework of the fuzzy expert system; discuss the suitability of artificial
intelligence as a novel soft paradigm and reviews work from the literature for the development of
a medical diagnostic system. The newly proposed approach allows us to deal with problems of
diagnosability for both crisp and fuzzy value of input data. Accuracy analysis of designed
decision support system based on demographic data was done by comparing expert knowledge
and system generated response. This basic emblematic approach using fuzzy inference system is
presented that describes a technique to forecast the existence of bacterium and provides support
platform to pulmonary researchers in identifying the ailment effectively.
KEYWORDS
Expert system, fuzzy diagnosability, rulebased method, MATLAB, Tuberculosis (TB).
ORIGINAL SOURCE URL : http://airccse.org/journal/ijsc/papers/6315ijsc01.pdf
http://airccse.org/journal/ijsc/current2015.html
30. REFERENCES
[1] K. Rawat, K. Burse, “A Soft Computing Genetic-Neuro fuzzy Approach for Data Mining and Its
Application to Medical Diagnosis,” International Journal of Engineering and Advanced Technology
(IJEAT), ISSN: 2249 - 8958, vol 3, pp. 409- 411, 2013.
[2] A. Yardimci, "Soft computing in medicine," Applied Soft Computing, Elsevier, vol. 9,
doi:10.1016/j.asoc.2009.02.003, pp. 1029-1043, 2009.
[3] V. Prasath, N. Lakshmi, M. Nathiya, N. Bharathan, N. P. Neetha, "A Survey on the Applications of
Fuzzy Logic in Medical Diagnosis support systems systems decision," International Journal of Scientific
& Engineering Research, ISSN 2229-5518, vol. 4, 2013.
[4] N. Walia, S. K. Tiwari, R. Malhotra, “Design and Identification of Tuberculosis using Fuzzy Based
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AUTHORS
Navneet Walia is pursuing M.TECH final year in department of Electronics and
Communication Engineering at CT Institute of Technology and Research, Jalandhar.
She has done her B.TECH in trade Electronics and Communication engineering from
CEM college of Engineering and Management. She has presented many papers in
national and international conferences. Her topic of research is fuzzy logic,
neurofuzzy, genetic algorithm and its applicability to industrial sector.