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Association Rule Mining is the most powerful technique in data mining. Generation of rule involves two phases where first phase finds the frequent itemsets and second phase generates the rule. Many algorithms are specified to find frequent item set from the sequential patterns. There are mainly two approaches for finding frequent item sets. First approach is with candidate sequence generation i.e...
In the past decade, urban traffic has increased tremendously. As a result, the urban population has to invest more time in traveling. Increased road traffic results in an increased number of road accidents and more consumption of fuel, thus wasting energy. Hence for solving this issue, this paper proposes a traffic signal synchronization system which takes real time traffic signal data as input and...
For the designing of high performance multipliers, the redundant binary representation can be used because of its high modularity and carry free addition. In this paper, a multiplier using redundant binary modified partial product generator (RBMPPG) is designed. A redundant binary modified partial product generator eliminates the extra error correcting word generated due to Modified Booth Encoding...
Text-to-Speech (TTS), an astounding feature to assemble computer with intelligence and to induce sound is seemingly a challenging task as it is related to the propagation of uncertainty with the input. This is because TTS evolutes the input based on the probabilities and not with certainty ratios. TTS is accomplished by generating the sound structure/phoneme and then classifying these phonemes in...
As the days go by, the innovation in the technology is growing faster and smaller chips with more complexity in the design and implementation. Design of adders is prime importance in any given embedded application; hence the design of reliable and efficient adder on a VLSI based embedded application matters. In this paper we primarily deal with the construction of high speed adder circuits. Design...
Patent citation network analysis is a useful method of identifying the knowledge flow of a technology from one country, institution or corporate to another. Whereas patent citation analysis involves statistical study of citations; patent citation network analysis involves the study of network and its different aspectsidentical to the parameters applied in the study of social network analysis. In the...
Semantic information retrieval technique is widely applied in various research areas. However the key consideration is about selecting the most extensive external source which can be used for augmenting the query. In this research paper we have employed WordNet and Wiktionary as two external sources for expanding the query and finding the effect of it over the similarity models. We found that a combination...
In this paper we are exploring a novel approach to extracting the features from a hand-written offline signature. The experiments are carried out on a user created data base. Which includes 50 classes and each class consists of 15 random forgeries and 5 skilled forgeries; total count of samples in the data base is 1000. Here we are considering and extracting the geometrical distance metric features,...
Patent search is a complex process involving ample time and manpower. The search process is filled with complexity and results are often ambiguous. This research has worked on patent abstract and has found similar patents with the help of expanding query key words. Word Net is used as an external medium for query expansion. Wu-Palmer similarity model is applied in retrieving the output from the database...
Most approaches towards automatic evaluation of free text answers are keyword centric. Though keywords essentially reflect and represent the primary concept coverage of an answer, they are incomplete without the associated texts. The words occurring before and after the keywords bring out the true meaning. The work presented in this paper proposes a semantic similarity based approach for evaluation...
Mango (Mangifera Indica L.) sorting is the most desired expertise in the evaluation of automatic mango grading systems. Traditionally, Naked eye observation is used to assess the quality of mango. Hence, there is a need to automate grading process. Image processing and machine learning provide one alternative for an automated, non-destructive and cost-effective grading. In this paper, proposed methodology...
Research in content-based image retrieval today is a lively discipline, expanding in breadth. Discovering new and innovative processes of locating a desired image from an expanding collection of images has been a major area of interest for many professional fields. This has led to the increasing use of a technique called Content Based Image Retrieval which is used to retrieve images based on low-level...
The key measures of any project about its perfectness are ability to complete in the scheduled time and within the estimated cost. Cost and effort are important factors whenever a project is developed. The estimation of cost and effort is a difficult task in Agile environment. It has been observed that the current Agile methods mostly depends on an expert opinion, planning poker and historical data...
Now a day when huge amount of documents and web contents are available, so reading of full content is somewhat difficult. Summarization is a way to give abstract form of large document so that the moral of the document can be communicated easily. Current research in automatic summarization is dominated by some effective, yet naive approaches: summarization through extraction, summarization through...
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