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This paper presents the design and development of an expert system that aim to provide for suitable diagnosis of some of the diseases of rice plants. An expert system can be defined as a computer program that uses encoded knowledge to solve problems in a specific domain that normally requires a specialized human expert. The proposed system composed of knowledge base, inference mechanism or control...
Word Sense Disambiguation (WSD) is the process ofidentifying the proper sense of an ambiguous word depending onthe particular context. It is to find the accurate sense si among theset of senses {s1, s2, , sn}. This task was motivated by itsinterpretation in various Natural Language Processing (NLP) applications like IR, MT, QA, TC, SP etc. In this paper, machinelearning technique - Naïve Bayes Classifier...
The increasing rate of Assamese text contents in digital format encourages us to generate a system that automatically categorizes them. This paper discusses a system that will perform the categorization of texts automatically based on the knowledge from Assamese WordNet. In WordNet, synset correspond to the words which implies the same concept and words having more than one sense in a particular text...
Multiword Expressions (MWEs) are sequence of words separated by space or delimiter which determines a unique meaning instead of words' individual meanings. Our work concentrates on automatic identification of MWEs for two less computationally aware languages Assamese and Bodo spoken in the North Eastern part of India. Statistical measure and Language specific knowledge helps us to extract MWEs from...
Extracting the users expected information from a large text collection based on some query is the aim of a Information Retrieval (IR) system. Now a days Assamese Digital documents are increasing at a huge rate and to collect the information efficiently from them we are in need of an Assamese IR system for retrieving documents. Comparing query and document term on lexical level and the shorter length...
The objective of the paper is to give an idea about the copper based networking cables and their important characteristics. Copper based cables, specially UTP cables are very sensitive to EMI and optical fiber are insensitive to EMI. But still today, UTP cable is the most popularly used networking cable supporting the standards up to Ten Gigabit Ethernet. It is because of its high speed of data transmission...
The objective of the paper is to outline the current trend of cabling in the networking world. Today, UTP cable (CAT5e, CAT6) is the most popularly used cable to provide Gigabit Ethernet Networking despite of some disadvantages compared to Fiber Optic cable, which offers more signal reliability. The paper tries to give an overview of all categories of current UTP cables, their requirements, advantages,...
Assamese is one of the regional languages of India spoken by the people of Assam and other north eastern states of India. Parts Of Speech (POS) tagging is one of the most important research issue as it is the basic need for any Natural Language Processing (NLP). An automated way to provide a Parts Of Speech label to a word on a context is known as Parts Of Speech Tagging. Assamese is one, among the...
An expert system is computer program composed of knowledge base, inference engine and user-interface. Its technical aspect involves the design and implementation of the architectural model of an expert system namely the knowledge base component, the graphical user interface component, the application component and the database. This paper presents the importance of the design and development of an...
IEEE802.11 WLAN is primarily used for non-real time traffics, but in recent times real-time traffics like VoIP and video conferencing have emerged as exciting and heavily used applications in such WLAN, which needs special attention to attributes like delay sensitiveness or bandwidth requirement. The IEEE 802.11e MAC protocol produces improved performance for real time traffics in such WLAN, but when...
Integrating Expert System based on fuzzy logic and its inferences is a new dimension of research in e-learning environment. Standards so far do not provide suitable methods to extract learner's correct expertise level in e-learning environment. This paper depicts adaptation of expert system technology using fuzzy logic and inferences to handle the uncertainty that every human expresses and linguistic...
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