Informatics Publishing Limited

K. Shyamala ¹, T. Sunitha Rani ²

Affiliations
1 Department of Computer Science, Dr. Ambedkar Government College, Chennai-39, IN
2 Department of Computer Science, MOP Vaishnav College for Women, Chennai-34, IN

Abstract

Cloud computing is considered as a striking computing model which allows for the provisioning of resources on-demand. Cloud computing environment enables multiple users to place request for various cloud services simultaneously. Effective and efficient resource allocation is the challenging task in cloud computing. The efficiency of allocation is measured by optimizing appropriate parameters such as execution time, demand, network delay time, capacity of resources and cost. This paper reveals how effectively resource allocation problem can be addressed in the perspective of cloud service provider and also provides a comparative analysis which helps in selecting parameters to meet the objective function for optimizing the demand to maximize the profit.

Keywords

Demand, Capacity, Cloud Computing, Optimization, Resource Allocation, Service Provider.

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P. Chanthini ¹, K. Shyamala ¹

Affiliations
1 PG & Research Department of Computer Science, Dr. Ambedkar Government Arts College (Autonomous), University of Madras, Chennai - 600 039, Tamil Nadu, IN

Abstract

Background: Neural networks are relatively crude computerized model based on the neural system of the human brain. The Complex problems may require sophisticated processing techniques to achieve practical speed. In human brain millions of neurons form a massively parallel information system. Method: A neural network is a parallel and distributed process. The parallel execution of the neural network is achieved up to the level of the training process. Parallelization approaches may work well on hardware implementations, a software package (SPANN), special purpose hardware and multicore CPUs through MPI. Findings: In order to achieve parallelism and speed up the training process, each neuron and full neural network is duplicated to multiple threads. In modern Microprocessor number of cores is rapidly increasing. So high-performance computing is a great challenge for the application developers. Improvements: Our future work directs to distribute neurons to multiple threads for parallel execution and duplicate the full neural network for parallel training.

Keywords

MPI, Multi-threaded and Multi-core System, OpenMP, Parallelization.

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M. Mercy Evangeline ¹, K. Shyamala ¹

Affiliations
1 Department of Computer Science, Dr. Ambedkar Government Arts College, IN

Abstract

Part of Speech (POS) tagging is a general process of classifying words into their parts, labeling them into different categories like Nouns, Verbs, Adjective, and Adverbs and so on. These different categories of words can be defined in a tagset. The tagset can be used for automatically assigning a word with a tag. Noun forms the first category of words generally found in any sentence and verb comes next. A verb actually describes the event occurrence or an action.in Tamil language, a verb form gets inflected by suffixes based on person, count, tense and voice. These suffixes are identified by reverse splitting method and the word is tagged as Verb. In this paper, tagging of words for Tamil language particular to Verb has been carried out. The implementation involves a rule based suffix stripping method for identifying verbs where suffixes are checked with the grammatical rules and are tagged as verb. The implementation proposed uses the traditional way of identifying a word based on grammatical rules in Tamil language, thus avoiding the process of transliteration. The implementation identifies a word based on grammatical rules, applies reverse splitting method and categorizes the words as VERB. The input is considered as Tamil words in their Unicode format, thus avoiding the process of transliteration. Most of the work done in the area of Text mining of Tamil documents mainly involves transliteration. Applying Tamil grammatical rules enrich the identification and tagging of words during morphological analysis as morphophonemic rules are considered. This is an advantage while tagging of words is considered for Tamil documents.

Keywords

Morphological Analyzer, Tagging, Verb, Tamil Language, Classification, Identification.

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K. Shyamala ¹, Fathima Farhana S. I. ²

Affiliations
1 Assistant Professor, Department of B.Com. Corporate Secretaryship, S.D.N.B. Vaishnav College for Women, Chromepet, Chennai - 600 044, IN
2 Assistant Professor, Department of B.Com (G), SDNB. Vaishnav College for women, Chromepet Chennai- 600 044, IN

Abstract

A Restaurant or an eatery is a business that prepares and serves food and drinks to customer. The food industry is a complex, global collective of diverse businesses. The term Food Industry covers series of industrial activities directed at the processing, conversion, preparation, preservation and packing of food stuff .This services is not only an important sources of jobs and career, it is vitally important to the success of many other industries in the economy where employees and bachelors are depended on. Importance of customer satisfaction can make or break the success of any restaurant. Recovery will obviously be a challenge for all restaurants both large and small.

Keywords

Restaurant Services, Post COVID Scenario, Hotel Management, Safety Measures.

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