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Deepali,
- Configuration Management in Software Development Life Cycle
Authors
1 Computer Application Department, GZS PTU Campus, Bathinda, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 13 (2014), Pagination: 13-18Abstract
Configuration Management is the discipline of controlling the occurrence of changes in the complex systems. In Software Development Life Cycle, Configuration Management is generally known as Software Configuration Management (SCM).
In this paper we will discuss about how Software Configuration Management (SCM) is used to plan, organise, control and coordinate the identification, storage and change of software through development, integration and transfer. However, the project is how large or small Software configuration management (SCM) has a critical effect on quality of the project. SCM uses some Elements for efficient development and maintenance, so that the integrity of the software will never be compromised. It also uses SCM Toolsets for configuration management. Basically, this paper shows that how efficiently SCM works and tackles the changes in the software development.
Keywords
Software Configuration Management (SCM), Configuration Item (CI), Baseline, Software Configuration Toolset, and Configuration Control Board (CCB).- Green Computing
Authors
1 Computer Application Department, Giani Zail Singh PTU Campus, Bathinda, IN
2 Computer Application Department, Giani zail Singh PTU Campus, Bathinda, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 13 (2014), Pagination: 81-84Abstract
With the fast growing technology the need for computers is being increasing in every field. Increase in amount of electricity consumes the carbon content in the atmosphere. To overcome this, people are trying to minimize the carbon footprint and minimum usage of energy using Green computing. The main focus attention of this paper is to study how to perform the jobs without any deviation by minimizing the power consumption of each functional unit effectively.Keywords
Green Computing, Techno Trash, Virtualization, Cloud Computing, Power Management.- Juxtaposition between Cloud Computing and Grid Computing
Authors
1 Computer Applications Deptt., Giani Zail Singh, PTU Campus, Bathinda, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 11 (2014), Pagination: 23-28Abstract
In the current era, Cloud computing has become buzzword. Cloud computing emerges as one of the hottest topic in field of information technology. Cloud computing is the recent invented technology on the network world. Clouds are calculated as a new era of Grid computing. In order to study the importance of cloud computing, we illustrate the characteristics of cloud computing and differentiate it from many other research areas. The service oriented, loosely coupled, fault tolerant, business oriented model and easy to use are the main characteristics of cloud computing. Grid computing is the simplest process of cooperating multiple processors on multiple machines and it also boost the computational power which requires high capacity of the CPU. In grid computing number of servers which have common operating systems and software has interactions among. This paper compare and contrast cloud computing with grid computing from various aspects and give insights into the various important characteristics of both.Keywords
Cloud Computing, Grid Computing, Juxtaposition.- Translation of English Complex/Compound Sentences into Indian Sign Language
Authors
1 Department of Computer Science, Punjabi University, Patiala (Punjab), IN
2 Department of Computer Science, DAV College, Jalandhar (Punjab), IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 33 (2020), Pagination: 1-14Abstract
.This paper outlines the concept for translation of English text to Indian Sign Language using real-domain synthetic animations. The translation framework consists of a processing module that parses the English input sentence to phrase structure grammar representation on which Indian sign language grammar rules are applied to reorder English phrase terms. The input English sentences was given by the user are parsed through the converter module which in turn exchange the complex and compound English sentences to their simplify versions by means of complex to simple and compound to simple English grammar rules. Elimination module removes unacceptable terms from the reordered sentence. Lemmatization is done in order to translate the words into the ischolar_main form since the Indian sign language does not use the word inflections. All the words in the sentence are then tested into a lexicon containing the English word and its HamNoSys notation and their synonym replaces the terms that are not in the lexicon. Sentence words are substituted with their HamNoSys counter code. In the event that the word is not in the lexicon, HamNoSys code is taken for each word alphabet. The HamNoSys data is translated to the SiGML tags, and these SiGML tags are sent to animation module which translates the SiGML code to the synthetic animation utilizing avatar.Keywords
Indian Sign language ,HamNoSys,SiGMLReferences
- Anuja, K. & Suryapriya, S. & Idicula, Sumam. (2010). Design and development of a frame based MT system for English-to-ISL: World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings. 1382 - 1387. 10.1109/NABIC.2009.53 93721.
- Anuja V Nair and Bindu V. (2013) Article: A Review on Indian Sign Language Recognition. International Journal o f Computer Applications 73(22):33-38, July 2013.
- Biplav Sarma, Anup Kumar Barman, (2015), A Comprehensive Survey of Noun Phrase Chunking in Natural Languages, International Journal Of Engineering Research & Technology (IJERT) Volume 04, Issue 04 (April 2015), http://dx.doi.org/10.17577/IJERTV4IS040854
- Dasgupta, T., & Basu, A. (2008). Prototype machine translation system from text-to-Indian sign language. In Proceedings o f the 13th international conference on Intelligent user interfaces (pp. 313-316).
- Goyal, L., & Goyal, V. (2016). Automatic translation of English text to Indian sign language synthetic animations in Proceedings o f the 13th International Conference on Natural Language Processing ICON (pp. 144-153).
- Goyal, L., & Goyal, V. (2017). Tutorial for Deaf-Teaching Punjabi Alphabet using Synthetic Animations. In Proceedings o f the 14th International Conference on Natural Language Processing (ICON-2017) (pp. 172-177).
- Narula, R., & Sharma, S. K. (2014). Identification and separation of simple, compound and complex sentences in Punjabi language. International Journal o f Computer Applications & Information Technology, 6.
- Pawan Kumar & Savita Khatri (2016) Generating Indian Sign Language Text Using English/Hindi Text, Special Issue: Conscientious and Unimpeachable Technologies International Journal o f Recent Research Aspects ISSN: 2349-7688, 2016, pp. 30-33
- R. Kaur & P. Kumar (2014) HamNoSys generation system for sign language, International Conference on Advances in Computing, Communications and Informatics (ICACCI), New Delhi, 2014, pp. 2727-2734, doi: 10.1109/ICACCI.2014.6968333.
- S.K Sharma (2019) Sentence Reduction for Syntactic Analysis of Compound Sentences in Punjabi Language. EAIEndorsed Transactions on Scalable Information Systems, 6 (20).
- Verma, D.A., & Kaur, S. (2015). Indian Sign Language Animation Generation System for Gurumukhi Script. IJCST ISSN: 0976-8491 (Online) | ISSN: 2229-4333 (Print) Vol. 6, Issue 3, July - Sept 2015p 117-121