Informatics Publishing Limited

D. Sindhu Suvitha ¹, R. Janarthanan ²

Affiliations
1 Department of Computer Science and Engineering, Jaya Engineering College, Thiruninravur, Tamilnadu, IN
2 Department of Information Technology, Jaya Engineering College, Thiruninravur, Tamilnadu, IN

Abstract

The Semantic Web is an evolving extension of the World Wide Web in which the semantics of information and services on the web is defined, making it possible for the web to understand and satisfy the requests of people and machines to use the web content. Semantic information processing is used to construct knowledge base at the human level. The most fundamental step in semantic information processing (SIP) is to construct knowledge base (KB) at the human level. WordNet has been built to be the most systematic and as close to the human level and is being applied actively in various works. Consequently, search results corresponding to different meanings may be retrieved, making identifying relevant results inconvenient and time-consuming. It has been found that a semantic gap exists between concept pairs of WordNet and those of real world. A study on the enrichment method to build a Knowledge Base was proposed here. A rule based method using WordNet's glossaries and an inference method using axioms for WordNet relations are applied for the enrichment and an enriched WordNet (E-WordNet) is built as the result. Moreover, WSD-SemNet, a new word sense disambiguation method in which E-WordNet is applied for Semantic Information Processing.

Keywords

Knowledge Base Management, Text Analysis, Knowledge Acquisition, Dictionaries, Semantic Networks.

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D. Sindhu Suvitha ¹, R. Janarthanan ²

Affiliations
1 Department of Computer Science and Engineering, Jaya Engineering College, Thiruninravur, Tamilnadu, IN
2 Department of Information Technology, Jaya Engineering College, Thiruninravur, Tamilnadu, IN

Abstract

The Semantic Web is a mesh of information linked up in such a way as to be easily processable by machines, on a global scale. It is an evolving extension of the World Wide Web in which the semantics of information and services on the web is defined, making it possible for the web to understand and satisfy the requests of people and machines to use the web content. Semantic information processing is used to construct knowledge base at the human level The most fundamental step in semantic information processing (SIP is to construct knowledge base (KB) at the human level. WordNet has been built to be the most systematic and as close to the human leveland is being applied actively in various works. Consequently, search results corresponding to different meanings may be retrieved, making identifying relevant results inconvenient and time-consuming. It has been found that a semantic gap exists between concept pairs of WordNet and those of real world. A study on the enrichment method to build a Knowledge Base was proposed here. A rule based method using WordNet's glossaries and an inference method using axioms for WordNet relations are applied for the enrichment and an enriched WordNet (E-WordNet) is built as the result. Moreover, WSD-SemNet a new word sense disambiguation method in which E-WordNet is applied for Semantic Information Processing.

Keywords

Knowledge Base Management, Text Analysis, Dictionaries, Semantic Relation Networks.

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M. Praneesh ¹, R. Janarthanan ²

Affiliations
1 Department of Computer Science, Sankara College of Science and Commerce, Bharathiar University, IN
2 Department of Master of Computer Application, Sankara College of Science and Commerce, Bharathiar University, IN

Abstract

The internet of things is an emerging network that connects physical resources and people together with software. IoT is an ability to transfer data over network without requiring human-human or human-to-computer interaction. In this research article we have provided a comprehensive overview of the IoT architecture, models and applications based on Security, Privacy and Threads.

Keywords

IoT, Security, Applications, Privacy.

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R. Janarthanan ¹, J. Krishnakumar ², S. Gopala Krishnan ²

Affiliations
1 Post Graduate, Department of Radiodiagnosis, Sree Balaji Medical College, Bharath Institute of Higher Education and Research, Chennai - 73, IN
2 Professor, Department of Radiodiagnosis, Sree Balaji Medical College, Bharath Institute of Higher Education and Research, Chennai - 73, IN

Abstract

Nourishment hypersensitivity is an unusual resistant reaction to sustenance. The indications of the hypersensitive response may go from mellow to serious. They may incorporate irritation, swelling of the tongue, regurgitating, the runs, hives, inconvenience breathing, or low pulse. This ordinarily happens inside minutes to a few hours of introduction. At the point when the side effects are serious, it is known as hypersensitivity. Regular sustenance’s included incorporate dairy animals' milk, peanuts, eggs, shellfish, fish, tree nuts, soy, wheat, rice, and natural product. The normal sensitivities shift contingent upon the nation. In the created world, about 4% to 8% of individuals have at any rate one nourishment sensitivity. Nourishment hypersensitivity (FA) pervasiveness has expanded in the most recent decades, yet epidemiologic investigations could show overestimated results.

The goal of this examination is to gauge the commonness of nourishment sensitivity in youthful adults; an online overview was disseminated to neighborhood college understudies. An investigation was directed; selecting a grown-up populace matured 18-35 years. In the primary stage, members addressed a selfregulated poll for nourishment sensitivity screening. Around 100 grown-ups finished survey. Announced FA happened in 19 (19%) subjects, and the more continuous references were cow's milk, pork, organic products, shrimp, and vegetables. The principle sustenance’s were natural products, trailed by bovine’s milk, shrimp, fish, and vegetables. Side effects, for example, tingling, hives and swelling were the real indications found in the general population who had nourishment hypersensitivity and is for the most part brought about by milk, shellfish, peanuts and vegetables. Out of 19% individuals with sustenance sensitivity just 4% of the general population use epinephrine infusion and 8% felt successful.

Keywords

Food Allergy, Prevalence, Epidemiology, Allergy. Epinephrine.

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R. Janarthanan ¹, A. Hema ¹

Affiliations
1 Department of Computer Applications, Kongunadu Arts and Science College, IN

Abstract

This study surveys the effectiveness of Prediction Systems that predominantly assess the quality of software. The quality of the software systems depends on functional and non-functional attributes. In this technological era, software quality prediction is one of the challenging tasks. It became an essential ingredient in many systems that produce reliable, cost effective and less complex software. Hence various researchers are deploying many faults-prone model systems with various testing traits as parameters to develop quality software. This paper surveys the pros and cons of software quality prediction systems that are based on fault- prone models with Software metrics of the quality systems and describes the different kind of measures in the field of software engineering.

Keywords

Software Quality, Software Metrics, Models, Prediction Features, Fault-Prone Systems.

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