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Rodrigues, Paul
- Extreme Pedagogy: An Agile Teaching-Learning Methodology for Engineering Education
Abstract Views :187 |
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Authors
Affiliations
1 Department of Computer Science and Engineering, DMI College of Engineering, Chennai – 600123, Tamil Nadu, IN
1 Department of Computer Science and Engineering, DMI College of Engineering, Chennai – 600123, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 8, No 9 (2015), Pagination: 828-833Abstract
Traditional instructor-centered, lecture-based teaching methods in engineering education have been criticized for being too linear, dogmatic, systematic and constraining. This paper proposes 'Extreme Pedagogy', a student-centered teaching-learning conceptual framework to improve quality of engineering education which is built on four core values: students and teachers and their interactions, working knowledge, collaboration with students and responding to change. Extreme Pedagogy derives its philosophy from Extreme Programming, an agile software methodology. Extreme Pedagogy aims at continuous improvement of student learning, keeping students' needs and satisfaction as its focus.Keywords
Engineering Education, Extreme Pedagogy, Extreme Programming, Teaching and Learning.- Novel Approach of Implementing Speech Recognition using Neural Networks for Information Retrieval
Abstract Views :143 |
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Authors
K. Sajeer
1,
Paul Rodrigues
2
Affiliations
1 Department of Computer Science, Research and Development Centre, Bharathiar University, Coimbatore - 641 046, Tamil Nadu, IN
2 DMI Engineering College, Palanchur , Chennai - 600123, Tamil Nadu, IN
1 Department of Computer Science, Research and Development Centre, Bharathiar University, Coimbatore - 641 046, Tamil Nadu, IN
2 DMI Engineering College, Palanchur , Chennai - 600123, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 8, No 33 (2015), Pagination:Abstract
Objective: Retrieval of information using speech recognition and Neural Network. Methods: A novel method is proposed for information retrieval using speech recognition and Neural Network. Automatic Speech Recognition (ASR) is the technological process that allows translation of information spoken by a human being into corresponding text. Marcovian technique is used to update the sampling weight generated from the input speech. The Kalman filtering technique is used to extract the feature vector (s). Neural Network is used to classify the feature vector (s) based on the energy updation. Results: The performance of the proposed method is evaluated in terms of SNR. The system components are speech processing, feature extraction, training and testing by using neural networks and information retrieval. Conclusion: In the proposed method the retrieve process proved >90% success.Keywords
Information Retrieval, Kalman Filtering, Marcovian Technique, Neural Network, Speech Recognition.- Estimating the size of E-Learning System using Learning Object Points Method
Abstract Views :150 |
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Authors
Affiliations
1 SRM University, Kattankulathur, Chennai - 603203, Tamil Nadu, IN
2 DMI College of Engineering, Chennai – 600123, Tamil Nadu, IN
1 SRM University, Kattankulathur, Chennai - 603203, Tamil Nadu, IN
2 DMI College of Engineering, Chennai – 600123, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 33 (2016), Pagination:Abstract
Background/Objectives: Software size estimation is the key factor to determine the planning activities of software development process. Size is the base factor to determine effort, duration, schedule, cost and others that affect the development process. E-Learning system is also a software system support for Computer and internet based teaching and learning process. Development of E-Learning system is under crises because of improper estimates that lead incompleteness, loss and delay, it affects customer satisfaction. To overcome the problem, a research made on the sizing techniques used in industry and the inabilities are identified. Methods/Statistical Analysis: Based on the analysis of all industry oriented size estimation techniques, this research introduces a new sizing technique called Learning Object Point method (LOP). Learning Object Points method is quantifying the size and complexity of an E-Learning system in terms of learning objects and functionalities. Sizing is independent of computer languages, development methodology and technology behind the development. LOP can be estimated early stage of software development process. It is prepared based on the user perspective so users of the E-Learning system have a better understanding of what LOP are measuring. Findings: The performance analysis of Learning Object Point’s method was conducted over Function point Analysis by using different projects developed in the industry. Size and duration calculated using FPA produced wrong results. So the project management activities like planning, scheduling and costing produced imprecise outcomes but LOP produced more close to actual results so it supports project management activities effectively. Applications/Improvements: LOP can be used to size E-Learning applications accurately. Sizing is important component in determining productivity. It is easily understood by the non-technical user. This helps communicate sizing information to a user or customer. Conversion to LOC is similar to FP to LOC conversion. It also supports to estimate any kind software application other than E-Learning system also. Estimate development effort and Cost benefit analysis using LOP. To Derive Business Decisions.Keywords
E-Learning System, Learning Object Points Method, Size Estimation, Software Project Management, Software Sizing- ANN Models and their Implications in Content Extraction
Abstract Views :149 |
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Authors
Affiliations
1 JNTUK, Kakinada – 533003, Andhra Pradesh, IN
2 King Khalid University, SA
3 Central University, Kalapet – 605014, Puducherry, IN
1 JNTUK, Kakinada – 533003, Andhra Pradesh, IN
2 King Khalid University, SA
3 Central University, Kalapet – 605014, Puducherry, IN
Source
Indian Journal of Science and Technology, Vol 9, No 30 (2016), Pagination:Abstract
Objectives: Internet is the repository of information, which contains enormous information about the past, present which can be used to predict future. To know the unknown users are inclined towards searching the internet rather than referencing the library because of ease of availability. This requirement initiates the need to find the content of a web page with in shortest period of time irrespective of the form the page is. So information and content extraction need to be at a basic generic level and easier to implement without depending on any major software. Methods: The study aims on extraction of information from the available data after the data is digitized. The digitized data is converted to pixel- maps which are universal. The pixel map will not face the issues of the form and the format of the web page content. Statistical method is incorporated to extract the attributes of the images so that issues of language hence text-script and format do not pose problems, the extracted features are presented to the Back Propagation algorithm. Findings: The accuracy is presented and how the content extraction within certain bounds could be possible Tested using unstructured word sets chosen from web pages. The method is demonstrated for mono lingual, multi-lingual and transliterated documents so that the applicability is universal. Applications/Improvement: The method is generic, uses pixel-maps of the data which is software and language independent.Keywords
Back Propagation, Content Extraction, Information, Statistical, Deterministic.- Novel Creative Innovative Patterns for Architecture Analysis (CIPA)
Abstract Views :120 |
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Authors
Affiliations
1 Computer Science Department, SRM University, SRM Nagar, Potheri, Kattankulathur, Kancheepuram District, Near Potheri Railway Station, Chennai - 603203, Tamil Nadu, IN
2 Computer Science Department, King Khalid University, Abha, SA
1 Computer Science Department, SRM University, SRM Nagar, Potheri, Kattankulathur, Kancheepuram District, Near Potheri Railway Station, Chennai - 603203, Tamil Nadu, IN
2 Computer Science Department, King Khalid University, Abha, SA
Source
Indian Journal of Science and Technology, Vol 9, No 30 (2016), Pagination:Abstract
Objectives: To improve the quality attributes of software architecture using new patterns. Methods/Statistical Analysis: Software architecture analysis methods are developed to reduce risk and to improve software quality. Patterns which have impact on the quality of software systems are used for the development of software. In this paper, novel Creative Innovative patterns are used. Findings: When Creative Innovative patterns are applied in the case study of hospital management system, the quality attributes like bug fixing cost, scalability, availability, maintainability, usability and reliability are improved. Application/Improvement: This paper uses Hospital management system which is enriched by Creative Innovative patterns and explains how these patterns help to improve the quality attributes of the architecture of a Hospital management system.Keywords
ATAM, Creative Innovative Patterns Pattern, Hospital Management System, Software Architecture Analysis Methods.- A Potential and Proficient Relay Node Selection (PPRS) Mechanism for MANET Performance Enhancement
Abstract Views :186 |
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Authors
Affiliations
1 School of Computing, SRM University, Chennai – 603203, Tamil Nadu, IN
2 Department of CSE, College of CS, KKU, Abha, SA
1 School of Computing, SRM University, Chennai – 603203, Tamil Nadu, IN
2 Department of CSE, College of CS, KKU, Abha, SA
Source
Indian Journal of Science and Technology, Vol 9, No 47 (2016), Pagination:Abstract
Objectives: The main objective is to propose a Potential and Proficient Relay Node Selection (PPRS) Mechanism for progressing MANET Performance. Method/Analysis: Although, Routing issues are under constant study for many years now already. The literature shows that the issue of performance lacking in highly dynamic MANETs has not been completely eliminated. Consequently, the main method adapted by PPRS mechanism is the individual next hop selection consecutively along with the estimation of success probability for selecting that node. Findings: The consequent and persistent next hop selection builds up MANET routes while assuring great communication statistics even under highly dynamic conditions. Novelty/Improvement: The performance of the PPRS mechanism is contrasted with existing EDEAR mechanism using simulations in the network simulator.Keywords
Energy, MANET, Mobility, Relay Node, Throughput.- Engaging Millennial Students in an Engineering Classroom using Extreme Pedagogy
Abstract Views :172 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Science and Engineering, DMI College of Engineering, Chennai - 600123, Tamil Nadu, IN
1 Department of Computer Science and Engineering, DMI College of Engineering, Chennai - 600123, Tamil Nadu, IN