Information retrieval (IR) is the area of study concerned with searching documents or information within documents. The user describes information needs with a query which consists of a number of words. Finding weight of a query term is useful to determine the importance of a query. Calculating term importance is fundamental aspect of most information retrieval approaches and it is traditionally determined through Term Frequency -Inverse Document Frequency (IDF). This paper proposes a new term weighting technique called concept-based term weighting (CBW) to give a weight for each query term to determine its significance by using WordNet Ontology. General TermsTerm frequency (TF), Inverse Document Frequency (IDF), Vector Space Model, Extraction Algorithm.
Information retrieval is concerned with documents relevant to a user's information needs from a collection of documents. The user describes information needs with a query which consists of a number of words. Finding weight of a query is important to determine importance of a query. Calculating term importance is fundamental aspect of most information retrieval approaches and it is commonly determined through Term Frequency-Inverse Document Frequency (TF-IDF).This paper proposed Concept-based Term Weighting (CBW) technique to determine the term importance by finding the weight of a query. WordNet ontology is used to find the conceptual information of each word in the query. General TermsTerm frequency (TF), Inverse Document Frequency (IDF), Vector Space Model, Extraction Algorithm.
In recent years, Wireless Sensor Network (WSN) has shown a valid futuristic application in the field of medical, geology, industry and defence etc. The basic plan of a Wireless sensor network(WSN) is to spatially distributed autonomous devices using sensors to monitor physical or environmental conditions. Wireless communication technology exhibits different forms of security threats. [1] This paper introduces numerous security problems in wireless sensor network, by distinguishing various threats and therefore analysing those problems and stating some security measures within the WSN. We additionally discuss the security for making certain layered and robust(strong) security in wireless sensor networks Keywords Wireless Sensor Network (WSN), Security.
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