Rana Khudhair Abbas Ahmed | Alrafidain University College (original) (raw)
Papers by Rana Khudhair Abbas Ahmed
International Journal of Science, Technology and Society, 2017
With the rapid increase in the development of online learning technology and the huge amount of l... more With the rapid increase in the development of online learning technology and the huge amount of learning materials generated on the web. Besides, the learning resources are growing infinitely making it difficult for users to choose appropriate resources for their learning. This paper discusses current applications of artificial neural networks and its great potential to help users in a personal learning environment to identify relevant and interesting items from a large number of items by suggesting actions to learners.
International Journal of Computer Trends and Technology, 2015
Multimedia contents such as images, videos, audio, and texts are easy to available for download t... more Multimedia contents such as images, videos, audio, and texts are easy to available for download through internet in worldwide. Duplication of multimedia contents is to create using different software. This type of operation some time created problem of copyright and ownership authentication. Digital watermarking techniques are usedto protect multimedia contents. This paper gives various watermarking techniques in transform domain and sparse domain for protection and authentication of multimedia contents.
International Journal of Intelligent Information Systems, 2016
Finding the appropriate personalized learning resources is a difficult process for users and lear... more Finding the appropriate personalized learning resources is a difficult process for users and learners on the web. Artificial Neural Networks show a great significance in helping users in personalizing their own learning interests from a large number of resources by giving suggestions to users and learners based on their preferences and all of this with less time and effort. This paper discusses the importance of using neural networks in E-Learning personalization and shows some current applications of them with their improvements and limitations.
International Journal of Computer Trends and Technology, 2016
measuring information security is difficult; it is difficult to have one metrics that covers all ... more measuring information security is difficult; it is difficult to have one metrics that covers all types of devices. Security metrics is a standard used for measuring any organization’s security. Good metrics are needed for analysts to answer many security related questions. Effective measurement and reporting are required to improve effectiveness and efficiency of controls, and ensure strategic alignment in an objective, reliable, and efficient manner. This paper provides an overview of the security metrics and its definition, standards, advantages, types, problems, taxonomies, risk assessment methods and also classifies the security metrics and explains its risks. Keywords— Security, Metrics, advantages, Problems, Risk management.
Social Media for Government, 2017
International Journal of Engineering Trends and Technology, 2016
Data mining is one of the techniques to find hidden information in large amounts of data and it h... more Data mining is one of the techniques to find hidden information in large amounts of data and it has been widely used in many areas as in communication, credit assessment, marketing, , health and medicine, stock market prediction, knowledge acquisition, hazard forecasting, banking, scientific discovery, education, fraud detection, etc., but data mining is significantly applied to medicine for the diagnosis of several diseases such as skin cancer, breast cancer, lung cancer, diabetes, liver disorder, heart disease, kidney failure, kidney stone, hepatitis etc. This paper discusses the data mining applications in medical and healthcare industry including analysis of data for better gaining results in preventing the occurrence of various errors in hospitals, early detection and prevention of various diseases and saving more lives by reducing death rates. The success of medical data mining depends on the provided clean medical data resources.
International Journal of Technical Research and Applications
With the help of web mining technology, the importance of e-learning is in advance. The web minin... more With the help of web mining technology, the importance of e-learning is in advance. The web mining gives the personalized education. By using various mining techniques, both the learner and the teacher can achieve benefits. Thus, the process of learning becomes simpler and affordable. With the advancement in web mining, the education through eLearning is improved. In this paper, we proposed "Combi", a new system for combining three web mining techniques with the learner's profile for e-learning personalization. Our personalization is based on learners' preferences, educational background and experience. The goal we took of personalization is learner's satisfaction. Our Combi system helps the learner to find the most suitable related information needed without wasting time and effort in looking through the long list of searched results to find the most suitable information. We discovered the learning behavior pattern to build up a series of feedback and motivation system and we compared the results from our system with an existing related system.
Current Clinical Pharmacology, 2007
IOSR Journal of Computer Engineering, 2014
Due to the complexity of designing a lexical analyzer for programming languages, this paper prese... more Due to the complexity of designing a lexical analyzer for programming languages, this paper presents, LEXIMET, a lexical analyzer generator. This generator is designed for any programming language and involves a new feature of using McCabe's cyclomatic complexity metrics to measure the complexity of a program during the scanning operation to maintain the time and effort.
Finding the most interested personalized learning materials is a difficult process for learners o... more Finding the most interested personalized learning materials is a difficult process for learners on the net. Artificial Neural Networks had proved to be a good help for users in finding their own personalized learning requirements from a large number of resources by giving suggestions to users and learners based on their preferences and all this with less time and effort. This paper discusses the importance of using neural networks in E-learning personalization and shows some current applications of them with their improvements and limitations..
Large amounts of learning resources are available on the net which makes it a difficult process f... more Large amounts of learning resources are available on the net which makes it a difficult process for users and learners to decide which matches his/her needs. Personalization is not a new concept in Neural Networks or in E-Learning. Artificial Neural Networks has a great significance in personalization and E-Learning by giving suggestions to users and learners based on their preferences and all of this with less time and effort. This paper discusses the concept of personalization which has an importance in finding what user needs from learning resources by using neural networks.
INTERNATIONAL JOURNAL OF MEDICAL LABORATORY RESEARCH (IJMLR), 2017
In recent times, while India is moving towards Digital Revolution, Data Mining and Knowledge Mana... more In recent times, while India is moving towards Digital Revolution, Data Mining and Knowledge Management are two of the areas which attract many researchers as both have high potential in terms of developing new techniques to be applied in different domains of human life. Medical science is one of the areas where new inventions and developments are coming up as the results of integration of Data Mining and Knowledge Management tools. The aim of this paper is to present detailed survey of available literature on recent advancements and notable contributions in the field of applications of Data Mining and Knowledge Management tools especially focused on Medical Informatics. After presenting introduction about the aim and scope of the topic, section two of the paper reestablish the concepts of Data mining and its conventional techniques i.e. Probabilistic & Statistical Models, Rule Induction, Neural Networks and Analytical Learning and the section ends with presenting Knowledge Management concept and its linkage with Data mining and Medical Science field. In section three, all the previous relevant works of Data mining and knowledge management are critically analyzed, explained and categorized on the basis of their applicability which is followed by section four which presents discussion on all the previous works and highlight the advantages and disadvantages of various methods and tools with further scope of future research and limitations. The author concludes the paper while emphasizing on security and privacy concerns of medical data and attract readers' attention towards validation of medical data which is used for medical judgments and decisions.
Finding the appropriate personalized learning resources is a difficult process for users and lear... more Finding the appropriate personalized learning resources is a difficult process for users and learners on the web. Artificial Neural Networks show a great significance in helping users in personalizing their own learning interests from a large number of resources by giving suggestions to users and learners based on their preferences and all of this with less time and effort. This paper discusses the importance of using neural networks in E-Learning personalization and shows some current applications of them with their improvements and limitations.
With the rapid increase in the development of online learning technology and the huge amount of l... more With the rapid increase in the development of online learning technology and the huge amount of learning materials generated on the web. Besides, the learning resources are growing infinitely making it difficult for users to choose appropriate resources for their learning. This paper discusses current applications of artificial neural networks and its great potential to help users in a personal learning environment to identify relevant and interesting items from a large number of items by suggesting actions to learners.
Finding the most interested personalized learning materials is a difficult process for learners o... more Finding the most interested personalized learning materials is a difficult process for learners on the net. Artificial Neural Networks had proved to be a good help for users in finding their own personalized learning requirements from a large number of resources by giving suggestions to users and learners based on their preferences and all this with less time and effort. This paper discusses the importance of using neural networks in E-learning personalization and shows some current applications of them with their improvements and limitations..
Metrics are tools that are designed to facilitate decision-making and improve performance and acc... more Metrics are tools that are designed to facilitate decision-making and improve performance and accountability through collection, analysis, and reporting of relevant performance-related data. This paper provides an overview of the security metrics and its definition, needs, attributes, advantages, measures, types, issues/aspects and also classifies the security metrics and explains its relationship with risk management.
— measuring information security is difficult; it is difficult to have one metrics that covers al... more — measuring information security is difficult; it is difficult to have one metrics that covers all types of devices. Security metrics is a standard used for measuring any organization's security. Good metrics are needed for analysts to answer many security related questions. Effective measurement and reporting are required to improve effectiveness and efficiency of controls, and ensure strategic alignment in an objective, reliable, and efficient manner. This paper provides an overview of the security metrics and its definition, standards, advantages, types, problems, taxonomies, risk assessment methods and also classifies the security metrics and explains its risks.
—Data mining is one of the techniques to find hidden information in large amounts of data and it ... more —Data mining is one of the techniques to find hidden information in large amounts of data and it has been widely used in many areas as in communication, credit assessment, marketing, , health and medicine, stock market prediction, knowledge acquisition, hazard forecasting, banking, scientific discovery, education, fraud detection, etc., but data mining is significantly applied to medicine for the diagnosis of several diseases such as skin cancer, breast cancer, lung cancer, diabetes, liver disorder, heart disease, kidney failure, kidney stone, hepatitis etc. This paper discusses the data mining applications in medical and healthcare industry including analysis of data for better gaining results in preventing the occurrence of various errors in hospitals, early detection and prevention of various diseases and saving more lives by reducing death rates. The success of medical data mining depends on the provided clean medical data resources.
Multimedia contents such as images, videos, audio, and texts are easy to available for download t... more Multimedia contents such as images, videos, audio, and texts are easy to available for
download through internet in worldwide. Duplication of multimedia contents is to create using different software. This type of operation some time
created problem of copyright and ownership authentication. Digital watermarking techniques are
usedto protect multimedia contents. This paper gives
various watermarking techniques in transform domain and sparse domain for protection andauthentication of multimedia contents
International Journal of Science, Technology and Society, 2017
With the rapid increase in the development of online learning technology and the huge amount of l... more With the rapid increase in the development of online learning technology and the huge amount of learning materials generated on the web. Besides, the learning resources are growing infinitely making it difficult for users to choose appropriate resources for their learning. This paper discusses current applications of artificial neural networks and its great potential to help users in a personal learning environment to identify relevant and interesting items from a large number of items by suggesting actions to learners.
International Journal of Computer Trends and Technology, 2015
Multimedia contents such as images, videos, audio, and texts are easy to available for download t... more Multimedia contents such as images, videos, audio, and texts are easy to available for download through internet in worldwide. Duplication of multimedia contents is to create using different software. This type of operation some time created problem of copyright and ownership authentication. Digital watermarking techniques are usedto protect multimedia contents. This paper gives various watermarking techniques in transform domain and sparse domain for protection and authentication of multimedia contents.
International Journal of Intelligent Information Systems, 2016
Finding the appropriate personalized learning resources is a difficult process for users and lear... more Finding the appropriate personalized learning resources is a difficult process for users and learners on the web. Artificial Neural Networks show a great significance in helping users in personalizing their own learning interests from a large number of resources by giving suggestions to users and learners based on their preferences and all of this with less time and effort. This paper discusses the importance of using neural networks in E-Learning personalization and shows some current applications of them with their improvements and limitations.
International Journal of Computer Trends and Technology, 2016
measuring information security is difficult; it is difficult to have one metrics that covers all ... more measuring information security is difficult; it is difficult to have one metrics that covers all types of devices. Security metrics is a standard used for measuring any organization’s security. Good metrics are needed for analysts to answer many security related questions. Effective measurement and reporting are required to improve effectiveness and efficiency of controls, and ensure strategic alignment in an objective, reliable, and efficient manner. This paper provides an overview of the security metrics and its definition, standards, advantages, types, problems, taxonomies, risk assessment methods and also classifies the security metrics and explains its risks. Keywords— Security, Metrics, advantages, Problems, Risk management.
Social Media for Government, 2017
International Journal of Engineering Trends and Technology, 2016
Data mining is one of the techniques to find hidden information in large amounts of data and it h... more Data mining is one of the techniques to find hidden information in large amounts of data and it has been widely used in many areas as in communication, credit assessment, marketing, , health and medicine, stock market prediction, knowledge acquisition, hazard forecasting, banking, scientific discovery, education, fraud detection, etc., but data mining is significantly applied to medicine for the diagnosis of several diseases such as skin cancer, breast cancer, lung cancer, diabetes, liver disorder, heart disease, kidney failure, kidney stone, hepatitis etc. This paper discusses the data mining applications in medical and healthcare industry including analysis of data for better gaining results in preventing the occurrence of various errors in hospitals, early detection and prevention of various diseases and saving more lives by reducing death rates. The success of medical data mining depends on the provided clean medical data resources.
International Journal of Technical Research and Applications
With the help of web mining technology, the importance of e-learning is in advance. The web minin... more With the help of web mining technology, the importance of e-learning is in advance. The web mining gives the personalized education. By using various mining techniques, both the learner and the teacher can achieve benefits. Thus, the process of learning becomes simpler and affordable. With the advancement in web mining, the education through eLearning is improved. In this paper, we proposed "Combi", a new system for combining three web mining techniques with the learner's profile for e-learning personalization. Our personalization is based on learners' preferences, educational background and experience. The goal we took of personalization is learner's satisfaction. Our Combi system helps the learner to find the most suitable related information needed without wasting time and effort in looking through the long list of searched results to find the most suitable information. We discovered the learning behavior pattern to build up a series of feedback and motivation system and we compared the results from our system with an existing related system.
Current Clinical Pharmacology, 2007
IOSR Journal of Computer Engineering, 2014
Due to the complexity of designing a lexical analyzer for programming languages, this paper prese... more Due to the complexity of designing a lexical analyzer for programming languages, this paper presents, LEXIMET, a lexical analyzer generator. This generator is designed for any programming language and involves a new feature of using McCabe's cyclomatic complexity metrics to measure the complexity of a program during the scanning operation to maintain the time and effort.
Finding the most interested personalized learning materials is a difficult process for learners o... more Finding the most interested personalized learning materials is a difficult process for learners on the net. Artificial Neural Networks had proved to be a good help for users in finding their own personalized learning requirements from a large number of resources by giving suggestions to users and learners based on their preferences and all this with less time and effort. This paper discusses the importance of using neural networks in E-learning personalization and shows some current applications of them with their improvements and limitations..
Large amounts of learning resources are available on the net which makes it a difficult process f... more Large amounts of learning resources are available on the net which makes it a difficult process for users and learners to decide which matches his/her needs. Personalization is not a new concept in Neural Networks or in E-Learning. Artificial Neural Networks has a great significance in personalization and E-Learning by giving suggestions to users and learners based on their preferences and all of this with less time and effort. This paper discusses the concept of personalization which has an importance in finding what user needs from learning resources by using neural networks.
INTERNATIONAL JOURNAL OF MEDICAL LABORATORY RESEARCH (IJMLR), 2017
In recent times, while India is moving towards Digital Revolution, Data Mining and Knowledge Mana... more In recent times, while India is moving towards Digital Revolution, Data Mining and Knowledge Management are two of the areas which attract many researchers as both have high potential in terms of developing new techniques to be applied in different domains of human life. Medical science is one of the areas where new inventions and developments are coming up as the results of integration of Data Mining and Knowledge Management tools. The aim of this paper is to present detailed survey of available literature on recent advancements and notable contributions in the field of applications of Data Mining and Knowledge Management tools especially focused on Medical Informatics. After presenting introduction about the aim and scope of the topic, section two of the paper reestablish the concepts of Data mining and its conventional techniques i.e. Probabilistic & Statistical Models, Rule Induction, Neural Networks and Analytical Learning and the section ends with presenting Knowledge Management concept and its linkage with Data mining and Medical Science field. In section three, all the previous relevant works of Data mining and knowledge management are critically analyzed, explained and categorized on the basis of their applicability which is followed by section four which presents discussion on all the previous works and highlight the advantages and disadvantages of various methods and tools with further scope of future research and limitations. The author concludes the paper while emphasizing on security and privacy concerns of medical data and attract readers' attention towards validation of medical data which is used for medical judgments and decisions.
Finding the appropriate personalized learning resources is a difficult process for users and lear... more Finding the appropriate personalized learning resources is a difficult process for users and learners on the web. Artificial Neural Networks show a great significance in helping users in personalizing their own learning interests from a large number of resources by giving suggestions to users and learners based on their preferences and all of this with less time and effort. This paper discusses the importance of using neural networks in E-Learning personalization and shows some current applications of them with their improvements and limitations.
With the rapid increase in the development of online learning technology and the huge amount of l... more With the rapid increase in the development of online learning technology and the huge amount of learning materials generated on the web. Besides, the learning resources are growing infinitely making it difficult for users to choose appropriate resources for their learning. This paper discusses current applications of artificial neural networks and its great potential to help users in a personal learning environment to identify relevant and interesting items from a large number of items by suggesting actions to learners.
Finding the most interested personalized learning materials is a difficult process for learners o... more Finding the most interested personalized learning materials is a difficult process for learners on the net. Artificial Neural Networks had proved to be a good help for users in finding their own personalized learning requirements from a large number of resources by giving suggestions to users and learners based on their preferences and all this with less time and effort. This paper discusses the importance of using neural networks in E-learning personalization and shows some current applications of them with their improvements and limitations..
Metrics are tools that are designed to facilitate decision-making and improve performance and acc... more Metrics are tools that are designed to facilitate decision-making and improve performance and accountability through collection, analysis, and reporting of relevant performance-related data. This paper provides an overview of the security metrics and its definition, needs, attributes, advantages, measures, types, issues/aspects and also classifies the security metrics and explains its relationship with risk management.
— measuring information security is difficult; it is difficult to have one metrics that covers al... more — measuring information security is difficult; it is difficult to have one metrics that covers all types of devices. Security metrics is a standard used for measuring any organization's security. Good metrics are needed for analysts to answer many security related questions. Effective measurement and reporting are required to improve effectiveness and efficiency of controls, and ensure strategic alignment in an objective, reliable, and efficient manner. This paper provides an overview of the security metrics and its definition, standards, advantages, types, problems, taxonomies, risk assessment methods and also classifies the security metrics and explains its risks.
—Data mining is one of the techniques to find hidden information in large amounts of data and it ... more —Data mining is one of the techniques to find hidden information in large amounts of data and it has been widely used in many areas as in communication, credit assessment, marketing, , health and medicine, stock market prediction, knowledge acquisition, hazard forecasting, banking, scientific discovery, education, fraud detection, etc., but data mining is significantly applied to medicine for the diagnosis of several diseases such as skin cancer, breast cancer, lung cancer, diabetes, liver disorder, heart disease, kidney failure, kidney stone, hepatitis etc. This paper discusses the data mining applications in medical and healthcare industry including analysis of data for better gaining results in preventing the occurrence of various errors in hospitals, early detection and prevention of various diseases and saving more lives by reducing death rates. The success of medical data mining depends on the provided clean medical data resources.
Multimedia contents such as images, videos, audio, and texts are easy to available for download t... more Multimedia contents such as images, videos, audio, and texts are easy to available for
download through internet in worldwide. Duplication of multimedia contents is to create using different software. This type of operation some time
created problem of copyright and ownership authentication. Digital watermarking techniques are
usedto protect multimedia contents. This paper gives
various watermarking techniques in transform domain and sparse domain for protection andauthentication of multimedia contents
LAP Lambert Academic Publishing, 2017
Social media has emerged out to be one of the most innovative and trusted platform for interactio... more Social media has emerged out to be one of the most innovative and trusted platform for
interaction as compared to typical formats of media i.e print and broadcasting media. Such
innovative interaction which takes place on social media is done through the medium of a
variety of Social Networking Sites (SNS). These SNSs are purely based with the sole
purpose of interaction. SNS have eliminated the barriers of communication as well as
interaction and in fact has established a podium that allows free flow of talks and networks
across the borders. These sites have shortened the distances between the people. They have
reduced the miles and have converted the physical distance into electronic distance. Social
interaction is executed through posts, pictures, blogs, videos, texts, calls etc which is done
by differently used websites and specifically designed applications.
Social networking sites have revolutionized the typical formats of communication and
interaction. It has adopted a different approach towards interaction i.e. interaction takes
place in variety of formats such as not just voice but also in different mediums such as
textual as well as visual formats. The SNS have confirmed themselves to be the backbone
of communication, time and again. They have their reach to every nook and corner of the
world. They have influenced all the sectors whether it is business, socializing, trade,
retailing, politics , entertainment etc . Social media has taken up the responsibility to be the
new information repository where the information, statistics, facts, figures, numbers,
records etc are not only exchanged or retrieved but also discussed and diagnosed in the
form of discussions and debates which takes through the medium of various Social
Networking Sites.