Software developers often use design patterns for effectively developing their applications. Design pattern documents are available in various formats, like printed text books and electronic formats. Software engineer...
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Software developers often use design patterns for effectively developing their applications. Design pattern documents are available in various formats, like printed text books and electronic formats. Software engineers entrust these documents for choosing a design pattern and subsequently use the pattern to their design problem. Selecting an appropriate design pattern is extremely valuable for building error free software and this requires lot of effort (time and human hr). However, experienced people can identify suitable patterns with minimal effort. The current work in this paper will assist the developers (both novice and experienced) in choosing the right design pattern for their problem situation. Every day many people write different problem scenarios in the Internet bogs and seek solutions. This motivated us to develop current research project. The objective of research is to develop a methodology to find a suitable pattern to the user. The present paper describes Methodology, Data model, Results, and Tools & Techniques
Due to the development of technology, electronics have become intertwined with our daily lives. Because of our reliance on such products, they need to be user-friendly, thus, improving current technology products is c...
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Due to the development of technology, electronics have become intertwined with our daily lives. Because of our reliance on such products, they need to be user-friendly, thus, improving current technology products is critical. One example of an electronic product with an opportunity for improvement is the projector. In many places, projectors have become an indispensable instrument for presentations or teaching. In this paper, we will improve the traditional projector, whose harsh light may hurt or cause discomfort for human eyes. Our system has been successfully applied to projected PowerPoint presentations and the experimental results speak to its performance.
Clustering is a way to partition the database in various groups. It is being used in data mining at a very large scale. There are different clustering methods but the focus in this paper is on partitioning based clust...
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Clustering is a way to partition the database in various groups. It is being used in data mining at a very large scale. There are different clustering methods but the focus in this paper is on partitioning based clustering. In literature many algorithm including k-Means are available that require prior information from the outside world about the number of clusters into which the database is to be divided. However, now days a database requires such algorithms that can generate different clusters automatically and moreover at each run the database requires to be partitioned into different number of clusters as well as different shape and size of grouping. In this paper a new partitioning based clustering algorithm that can generate clusters automatically without any previous knowledge on the user side has been proposed. The clusters so generated may not only differ in number but also will be of different shape and size.
The primary objective of data mining and expert system provides good result for using knowledge base system. From the deep study, Apriori algorithm is a representation of an improved association rule mining algorithm,...
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The primary objective of data mining and expert system provides good result for using knowledge base system. From the deep study, Apriori algorithm is a representation of an improved association rule mining algorithm, which helps to avoid the replication of same items. This proposed paper is an improved version of apriori algorithm that is focused on four features namely, First data preparation and select the required data, second generate itemsets that determines the rule constraints for knowledge, third mine k-frequent itemsets using the new database and fourth generate the proposed association rule that establishes the knowledge base and provide better results compared to existing method. Finally, the knowledge database of the expert system is established and stores all the rules in the database. This system helps us to obtain a homologous decision rules as an output of given input.
We propose an Association Rule Mining (ARM) based Recommender system for the stock markets. Normally technical and fundamental analyses are a basis of prediction of stock price. Several systems exist for monitoring an...
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We propose an Association Rule Mining (ARM) based Recommender system for the stock markets. Normally technical and fundamental analyses are a basis of prediction of stock price. Several systems exist for monitoring and prediction of stock prices. But these deal with individual stocks. They do not give the inter-relationship between stocks or their relationship with the stock market INDEX. Our method uses ARM, fuzzy ARM, weighted fuzzy ARM, ARM with time lags, fuzzy ARM with time lags and weighted fuzzy ARM with time lags to predict relationships between stocks, which is used as the basis for portfolio management and in recommendations for mutual funds.
Cloud computing has made the potential dream of the IT industry come true by providing software as a utility as a better service and transformed the way the hardware has been designed. Cloud Computing refers to both t...
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Class prediction of a protein facilitates to enhance the process of drug discovery. In drug discovery, it is very problematic to find out the complementary protein for each protein individually. But if the class of th...
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Class prediction of a protein facilitates to enhance the process of drug discovery. In drug discovery, it is very problematic to find out the complementary protein for each protein individually. But if the class of the protein will be known for which the drug is to be discovered then it will become very smooth to find the complementary protein sequence which can be attached to the active site of the protein to stop it to expand. The main concern of the proposed work is the prediction of such a tool to nullify the drug with the help of distributed processing, which assists to fasten the process as compared to the previous tools used. The tool presented with the help of Distributed processing to neutralize the drug ensures a large scope for practical application of the Human Protein Prediction. So, class prediction of a protein supports to shorten the process of drug identification. The modified technique for protein function prediction will be developed based on the limitations in present techniques.
Steganography is the art and science of covered or hidden writing. The purpose of steganography is covert communication to hide the existence of a message from an intermediary. Digital Steganography algorithms have be...
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Steganography is the art and science of covered or hidden writing. The purpose of steganography is covert communication to hide the existence of a message from an intermediary. Digital Steganography algorithms have been developed by using texts, images and audio etc as the cover media. This paper presents a new approach on text steganography through Indian Languages. Considering the properties of a sentence such as number of words, number of characters, number of vowels etc and using the presence of redundant feature code able characters in Indian Languages, this approach hides the message into an innocent cover file containing Indian texts. This approach also presents the extraction of message from the generated cover file by applying the reverse method of hiding. The approach shows satisfactory results on applying to some topic of daily newspaper in Indian Languages like Bengali.
Recently Java programming environment has become so popular. Java programming language is a language that is designedto be portable enough to be executed in wide range of computers ranging from cell phones to supercom...
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Recently Java programming environment has become so popular. Java programming language is a language that is designedto be portable enough to be executed in wide range of computers ranging from cell phones to supercomputers. computer programs written in Java are compiled into Java Byte code instructions that are suitable for execution by a Java Virtual Machine implementation. Java virtual Machine is commonly implemented in software by means of an interpreter for the Java VirtualMachine instruction set. As an object oriented language, Java utilizes the concept of objects. Our idea is to identify thecandidate objects' references in a Java environment through hierarchical cluster analysis using reference stack and execution stack.
An Intelligent Traffic System (ITS) involves a much closer interaction between all of its components: drivers, pedestrians, public transportation and traffic management systems. Adaptive signal systems, driver advisor...
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An Intelligent Traffic System (ITS) involves a much closer interaction between all of its components: drivers, pedestrians, public transportation and traffic management systems. Adaptive signal systems, driver advisory and route planning and automated vehicles are some of the goals set up to increase the efficiency of actual systems. Vehicular network became one of the most active and emerging fields of research during last decade. Its use in diversified applications (for example safe driving, congestion avoidance, parking assist system and even entertainment) will soon bring revolutionary changes in transportation system. In this paper we have reviewed applications of wireless sensor network towards developing an efficient system to control and manage smooth traffic flow.
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