Informatics Publishing Limited

A. Sridevi ¹, G. K. D. Prasanna Venkatesan ², R. Priyadharshini ¹

Affiliations
1 M.Kumarasamy College of Engineering (Autonomous), Karur – 639113, Tamil Nadu, IN
2 SNS College of Engineering, Coimbatore – 641107, Tamil Nadu, IN

Abstract

Objectives: The Content Addressable Memory (CAM), are often used in various application fields to get better performance with high efficient output. The high efficient output might be obtained with minimum delay and minimum power Consumption. Methods/Statistical Analysis: The CAM is used in real time application like data search, associative computing and in the field of networking, which involves a high speed search process. A proposed banked architecture is used to control the power dissipated, which is achieved by making small variation in hardware architecture. This proposed pre reckoning -based -CAM architecture uses parameter extractor which will save the power and time. Findings: Initially parameter extractor selects the process operator, based on selected operator which will choose neighboring parameter and leaves the far away limitation. The execution of the proposed design will be done by the Xilinx software. The power consumed in every module is cumulated during execution. Application/Improvements: The obtained results also show that our choice is correct by comparing the Banking architecture with the existing one. The Proposed Banked pre reckoning architecture has minimized the average power consumption up to 30% compared with the existing one.

Keywords

Banked Architecture, CAM, Parameter Extractor, Power Consumption, Pre- Reckoning

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R. Priyadharshini ¹, P. Priscilla Malar ¹, Saramma Mathew Fenn ¹

Affiliations
1 Department of Oral Medicine and Radiology, Vinayaka Mission's Sankarachariyar Dental College, NH-47, Sankari Main Road, Ariyanoor, Salem – 636308, Tamil Nadu, IN

Abstract

Though dentistry is considered a respected and desirable profession, there are many impediments that a dentist faces before they are recognised and acknowledged in the dental fraternity. One may assume that the undergraduate training of five years will suffice or the "price paid" for the future but that is just the "tip of the iceberg". This article attempts to shed some light on the mind set a young dental graduate, level of interest and confidence developed for private practice.

Keywords

Dental Profession, Dental Specialty Practice, Private Dental Practice, Post graduate Diploma Courses, Undergraduate Studies.

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N. Magesh ¹, R. Priyadharshini ²

Affiliations
1 Computer Science and Engineering at Bharathiyar University, IN
2 Computer Science and Engineering at K.S.K College of Engineering &Technology, Anna University, Kumbakonam, IN

Abstract

It is tremendous to extract the information faster from internet nowadays. There are lot of materials available on the internet and in order to extract the most relevant information, a good mechanism is found to be used. This problem is settled by the Automatic Text Summarization mechanism. Text Summarization is the system of developing a shorter version of the text that involves the relevant information. Text summarization is classified as Extraction and Abstraction. Here this paper targets on the Fuzzy logic approach for processing text summarization.

In this paper, the efficient way of summarizing the text document is performed by involving the combination of the techniques such as fuzzy logic approach and then evaluation of the result with the rouge scores was calculated. The Singular value decomposition plays significant role on extracting the important sentences from the original document. Every sentence is enabled with a rank which is based on its importance in the original document. Sentence selection is involved according to the ranks and the summary are generated. The rouge will generate three scores as, Recall, Precision and F-score. F-score is found to be the evaluation metric for the correctness of a summary. The comparison of three different summaries by compressing the input document as 1/2nd, 1/3rd, 1/4th rouge scores and f-score provides the effective results towards summarizing the text document.

Keywords

Fuzzy Logic, Sentence Feature, Text Summarization, Information Retrieval

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A. Elangovan ¹, M. Madhu Priya ¹, R. Priyadharshini ¹, S. Ravi Shankar ¹

Affiliations
1 Department of Botany, Madras Christian College (Autonomous), Affiliated to University of Madras, Chennai - 600 054, Tamil Nadu, IN

Abstract

Cashew (Anacardium occidentale L.) is an evergreen perennial tree, originated from Brazil and now widely grown in the tropics. Cashew is a wonder tree crop, where almost all parts of the tree ranging from roots to apples and nuts are used in various fields. The aim of the present investigation is to analyse the kernels (nuts), var. W210 for understanding its proximate, physico-chemical, nutritive and anti-nutritive aspects in three forms, viz., raw, roasted and boiled state. The roasted samples are comparatively rich in crude carbohydrate (43.26±0.86 g), crude protein (22.80±1.22 g) and calorific value (498.32±1.64 k. cal). Highest lipid and fibre content is reported in raw sample as (33.02±0.94 g) and (8.56±1.62 g) respectively. Moisture content (16.65 ±1.88 g) is the highest to be reported in boiled sample. From the results, it has been clearly understood, that the minerals except iron, are rich in roasted than the other two forms. Roasted sample showed the maximum value of nitrogen (3.66±0.47 g), potassium of about 676.3±0.86 mg, calcium of 75.5±0.44 mg, magnesium of 355.4±0.50 mg and phosphorus of 398.6±1.78 mg/100 g. The iron content was high in raw sample of about 7.73±0.77 mg comparatively. The physico-chemical analysis shows that the total ash content was high in roasted sample which is recorded as 3.05±0.82 g. Other parameters such as acid insoluble ash, water-soluble extractive, alcohol soluble extractive values are found higher in roasted state. The results of anti-nutrient analysis gives a transparent idea that the raw sample has high content of phytic acid (0.445±0.004%), tannins (0.787±0.005%), saponins (0.101±0.003%) and oxalate (0.099±0.004%). The study addresses the nutritional and the anti-nutritional aspect of A. occidentale in its three forms and from the results obtained, we can conclude that the roasted form of seeds are found to be nutritionally superior for consumption as foods for humans.

Keywords

Cashew, Proximate, Minerals, Physico-chemical and Anti-nutrients

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R. Priyadharshini ¹, G. Jeyakodi ¹, P. Shanthi Bala ¹

Affiliations
1 Department of Computer Science, School of Engineering and Technology, Pondicherry University, Puducherry, India., IN

Abstract

Contextual Relation Extraction (CRE) is mainly used for constructing a knowledge graph with a help of ontology. It performs various tasks such as semantic search, query answering, and textual entailment. Relation extraction identifies the entities from raw texts and the relations among them. An efficient and accurate CRE system is essential for creating domain knowledge in the biomedical industry. Existing Machine Learning and Natural Language Processing (NLP) techniques are not suitable to predict complex relations from sentences that consist of more than two relations and unspecified entities efficiently. In this work, deep learning techniques have been used to identify the appropriate semantic relation based on the context from multiple sentences. Even though various machine learning models have been used for relation extraction, they provide better results only for binary relations, i.e., relations occurred exactly between the two entities in a sentence. Machine learning models are not suited for complex sentences that consist of the words that have various meanings. To address these issues, hybrid deep learning models have been used to extract the relations from complex sentence effectively. This paper explores the analysis of various deep learning models that are used for relation extraction.

Keywords

Contextual Relation Extraction, Word Embeddings, Bert, Deep Learning Model.

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