Informatics Publishing Limited

M. Palani Natha Raja ¹, A. M. Abirami ²

Affiliations
1 Department of Mechanical Engineering, Thiagarajar College of Engineering, Madurai, IN
2 Department of Information Technology, Thiagarajar College of Engineering, Madurai, IN

Abstract

Achieving Performance Excellence in Engineering Education becomes essential now-a-days so as to focus on the customers and other stakeholders. Some of the challenging tasks like global recognition for the curriculum, performance improvement, research projects and bridging the gap between academia and industry can be addressed effectively, if integrated Quality Model can be adopted and practiced by the Institute. The model proposed in this paper enables the Institute to outperform excellence in education and sustain in the competitive environment.

Keywords

Quality Model For Engineering Education, Performance Excellence, Quality Award.

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A. M. Abirami ¹, A. Askarunisa ²

Affiliations
1 Department of Information Technology, Thiagarajar College of Engineering, Madurai, Tamil Nadu, IN
2 Department of Computer Science and Engineering, Thiagarajar College of Engineering, Madurai, Tamil Nadu, IN

Abstract

Today most of the web pages are in the form of HTML only. Many data do exist, but there is no or less way for generating reports from various but related HTML pages. For example, the information of an individual person may be stored in HTML pages. There is no way for collectively getting the report about all the people for particular information. Most of the time, this is done manually. This paper proposes a semantic based approach for generating reports from HTML pages using semantic technologies like OWL, RDF and SPARQL. The required HTML pages are navigated and information from the table and the list are collected as a first step. The data is pre-processed and formatted in a CSV file, such that it enables further processing easier. OWL files are created for the corresponding domain which can act as a dictionary for the application. CSV contents are separated based on the OWL files and the rules. Separated contents are stored in the RDF format and SPARQL is used to query the RDF file. The proposed model thus can be a handy tool for the management people to generate reports readily, without spending much manual time.

Keywords

RDF, OWL, SPARQL, HTML Reports.

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A. Askarunisa ¹, K. Arockia Jackulin Punitha ², A. M. Abirami ³

Affiliations
1 Thiagarajar College of Engineering, Department of Computer Science, Madurai, IN
2 Computer Science Department in Thiagarajar College of Engineering, Madurai, IN
3 Thiagarajar College of Engineering, Department of Information Technology, Madurai, IN

Abstract

Web services are the basic building blocks for the business which is different from web applications. Testing of web services is difficult and increases the cost due to the unavailability of source coder. In previous work, web services are tested based on the syntactic structure using Web Service Description Language (WSDL) for atomic web services. This paper proposes an automated testing framework for composite web services based semantics where the domain knowledge of the web services is described by protégé tool [4] and the behavior of the entire business operation flow for the composite web service is provided by Ontology Web Language for services (OWL-S)[1]. Prioritization of test cases is performed based on various coverage criteria for composite web services. Series of experiments were conducted to assess the effects of prioritization on the coverage values and benefits of prioritization techniques were found.

Keywords

Composite Web Services, Ontology Web Language for Services, Protégé, Test Case Prioritization.

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A. Askarunisa ¹, A. M. Abirami ², N. Ramaraj ³

Affiliations
1 Department of Computer Science and Engineering, Thiagarajar College of Engineering, IN
2 Department of Information Technology, Thiagarajar College of Engineering, IN
3 GKM College of Engineering, IN

Abstract

Web Services (WS) are the basic building blocks for every e-business applications. They provide efficient reusability mechanism, thereby reducing the development time and cost. Web services can be identified by Uniform Resource Identifier (URI). The interfaces and bindings of Web Services can be discovered, defined and described as XML artifacts according to Web Service Description Language (WSDL). WSDL can be used to describe web service operations including input, output and exceptions. It cannot identify pre and post conditions of web services. But Semantic WSDL (WSDL-S) identifies the pre and post conditions of web services to generate optimal number of test cases. This paper presents an approach for generating web service test cases using WSDL-S and Object Constraint Language (OCL), while the test case generation technique is Orthogonal Array Testing (OAT). We have generated WSDL of web service to be tested using NetBeans IDE and converted into WSDL-S by giving OCL references, where pre and post conditions are defined. Test data, using OAT, with different factors, levels and strengths are generated and documented in XML based test files called Web Service Test Specifications (WSTS) and executed. Test cases are prioritized based on different criteria like statement coverage, condition coverage, execution time and fault rate. We have conducted testing on various web service applications and the results have shown that the test case prioritization based on fault rate is effective for determining the faults earlier and it is proved by the metric Average Percent of Fault Detection (APFD).

Keywords

Web Services Testing, Semantics, Test Case Generation, Orthogonal Testing, Test Case Prioritization, APFD, FDD, FDE Metrics.

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P. Sheba Alice ¹, A. M. Abirami ¹, A. Askarunisa ²

Affiliations
1 Department of Information Technology, Thiagarajar College of Engineering, Madurai, Tamil Nadu, IN
2 Department of Computer Science and Engineering, Thiagarajar College of Engineering, Madurai, Tamil Nadu, IN

Abstract

It is more important to retrieve information from various types of documents like DOC, HTML, etc that contain vital information to be preserved and used in future. Information retrieval from these documents is mostly the manual effort. Though search algorithms do this retrieval, they may not be accurate as expected by the user. Also, some documents like candidates' resumes cannot be stored into the relational database as such because the number of fields is more. Much of manual efforts are put in use to analyze the various resumes to select the candidates who satisfy the specific criteria. To minimize the manual efforts and to get the results faster, this paper proposes the use of Semantic Web Technology like OWL, RDF and SPARQL to retrieve the information from the documents efficiently. This paper proposes to create the Ontology for the required domain as a first step. Based on the fields or tags in the owl file, the user is given a form to provide his personal and academic details. These data is converted into RDF/XML document. RDF files are retrieved and grouped based on some category. Query text is entered and the relevant records are retrieved from RDF documents using SPARQL. SPARQL is an RDF query language that enhances fast and efficient search of data when compared to other XML query languages like XPATH and XQUERY. Comparison between SPARQL and XPATH in terms of time taken to retrieve records is also analyzed in this paper.

Keywords

RDF, OWL, SPARQL, Document Filter, Information Retrieval.

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A. M. Abirami ¹, A. Askarunisa ², K. Gayathri , M. Gowsalya Jeyalakshmi

Affiliations
1 Department of Information Technology, Thiagarajar College of Engineering, Madurai, Tamil Nadu, IN
2 Department of Computer Science and Engineering, Vickram College of Engineering, Madurai, TamilNadu, IN

Abstract

Sentiment Analysis deals with the analysis of emotions, opinions and facts in the sentences which are expressed by the people. It allows us to track attitudes and feelings of the people by analyzing blogs, comments, reviews and tweets about all the aspects. In this paper, a sentiment analysis model using VIKOR approach has been proposed to rank the tourism places from the user reviews. The model involves the process of gathering online user reviews regarding the TamilNadu tourism and analyzes those reviews in terms of the sentiments expressed. Information Extraction process filters irrelevant reviews, extracts sentimental words of features identified and quantifies the sentiment of features using General Inquirer. Finally, VIKOR approach, a multi-criteria decision making (MCDM) method ranks the tourism places from the aggregated senti-scores. The sentiment analysis on tweets/reviews is done with multiple dimensions using Natural Language Processing techniques. This information can be used to improve business outcomes and ensure a very high level of user satisfaction.

Keywords

Sentiment Analysis, Opinion Mining, VIKOR, MCDM Technique.

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J. Santhana Preethi ¹, A. M. Abirami ¹, A. Askarunisa ², G. Sathya Priya ¹, E. Sankaragomathy ¹

Affiliations
1 Department of Information Technology, Thiagarajar College of Engineering, Madurai, Tamil Nadu, IN
2 Department of Computer Science and Engineering, Vickram College of Engineering, Enathi, Tamil Nadu, IN

Abstract

Text analytics is to distil out structured information from unstructured or semi-structured text. User feedback analysis or sentiment analysis on products enables to highlight the best and worst of features and recommend the product to new buyers. The model extracts the positive and negative comments and identifies the emotions in the piece of text or n-way analysis and classification like very-positive, positive, neutral, negative or very-negative. Natural Language Processing (NLP) tools play vital role in classifying the sentiment polarity of sentences while data analytics has the role in recommendation of the product. In this paper, we propose a recommender system model to rank the products based on the feedback given by the users. Features, the topics of interest, are identified from the set of review text. Sentiments are detected from each review and thus senti-score is calculated for each feature of the product. We use the Analytic Hierarchy Process and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), which are Multi-Criteria Decision Making techniques to rank a set of products. This method provides a logical framework to determine the benefits of each product based on the features and thus the products are ranked.

Keywords

Sentiment Analysis, User Feedback Analysis, Multi-Criteria Decision Making, Technique for Order Preference by Similarity to Ideal Solution, Analytic Hierarchy Process.

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M. Palaninatha Raja ¹, A. M. Abirami ²

Affiliations
1 Department of Mechatronics, Thiagarajar College of Engineering, Madurai, IN
2 Department of Information Technology, Thiagarajar College of Engineering, Madurai, IN

Abstract

Ethics is an important attribute for any professions like engineering, medicine, legal and so on. Despite its importance, ethics has come down among the engineers in the recent past and the day to day events in the nation witnesses the engineering as collapsible or substandard bridges, development of illegal arms, unworthy clothing for uniformed people, etc,. Engineering Ethics is introduced into curriculum and the students are assessed and evaluated theoretically as per the legal directions. This loses the focus and the purpose of ethics. Engineering ethics is an important outcome specified in the Graduate Attributes of Accreditation at national and international level. Specifically, the code of conduct or the behavior of student could be measured based on the identified and well proven ethical principles. Questionnaire has been prepared against eleven basic principles of ethics. Students' thinking on each of these principles is measured through 1-5 likert scale. Face validity is adopted in this survey. It is an indirect assessment method which enables to achieve the objective of assessing the ethical behavior of engineering students. The results show that the actual thinking on ethical practices and their emotions have been captured and reported among engineering students.

Keywords

Engineering Ethics, Measurement of Ethics, Behavior, Attitude.

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A. Sheik Abdullah ¹, N. Gayathri ¹, A. M. Abirami ¹, R. Parkavi ¹

Affiliations
1 Department of Information Technology, Thiagarajar College of Engineering, Madurai, IN

Abstract

One of the major challenges in engineering education is to train the students in an efficient way to determine the exposable skills in a collaborative manner to solve complex and weakly structured problems. This research work focus towards the development of a predictive data analytical model using statistical inference techniques. Each of the courses instructed to the students will have certain outcomes to be addressed. Experimental evaluation has been done with the non-applicability of active learning strategies and applicability of active learning strategies over the course outcome values attained by the students over the two batches of students. The data has been formalized to normal distribution to discover the statistical relevance. Newly formulated control limits have been established to determine the course outcome target value. With the initialization of heuristic values we came to a conclusion over the target fixing mechanism for the attainment of course outcomes. Hence from these results we can obviously fix the student target measures for any subjects by which we can deploy the mechanism of deliverables over the reality and the nature of the courses to be learnt.

Keywords

Predictive Analysis, Statistics, Education Technology, Control Limits, Course Outcomes, Target Measures.

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A. M. Abirami ¹, P. Kiruthiga ¹

Affiliations
1 Department of Information Technology Thiagarajar College of Engineering, Madurai, Tamil Nadu, IN

Abstract

Collaborative learning makes the students to learn in amore formal way in a team. It increases the student engagement and there exists continuous interaction between the participants. It improves critical thinking and problem solving capabilities of learners. Courses which require these technical and soft skills can adopt Collaborative Learning strategies. Apart from the improvement in these skills, it also improves their behaviours in communication, team building skills among the students and so on. It ultimately shows greater improvement in their campus placement, which is the ideal objective of every graduate today.

Keywords

Collaborative Learning, Active Learning Strategies, Flipped Classroom, Think Pair Share, Data Structures, Labquiz.

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A. M. Abirami ¹, A. Askarunisa ², T. S. B. Akshara ¹, G. Prasannashree ¹, K. Priyanga ¹, K. Sarika ¹

Affiliations
1 Department of Information Technology, Thiagarajar College of Engineering, Madurai, Tamil Nadu, IN
2 Department of Computer Science and Engineering, KLN Information Technology, Madurai, Tamil Nadu, IN

Abstract

Internet has enormous amount of documents and they need to be annotated for further processing. Customer reviews or feedback on product is mostly done by using text mining or text analytics techniques. Feature extraction plays the vital role in text analytics methodology by which the most relevant features are extracted and used for text processing. This research article focuses on the use of Latent Dirichlet Allocation (LDA) as the feature extraction technique and it is compared with the prominent technique Latent Semantic Indexing (LSI).

Keywords

Text Analytics, Feature Extraction, Latent Semantic Indexing (LSI), Latent Dirichlet Allocation (LDA), Document Categorization.

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A. M. Abirami ¹, M. Palaninatha Raja ²

Affiliations
1 Department of Information Technology, Thiagarajar College of Engineering, Madurai, IN
2 Department of Mechatronics, Thiagarajar College of Engineering, Madurai, IN

Abstract

In recent years, there has been a downtrend in the pass percentage of UG Engineering Mathematics papers among students. Students find it difficult to score pass marks in the subject in the recent batches. Factors like lack of understanding in basic concepts, lack of quality of teaching, lack of quality in question papers, strict evaluation, and so on may be related to poor performance of students. Hence, it becomes necessary to examine the nature of final examination question papers, especially for the maths courses. It is essential to assess the type of questions asked in the examinations using the statistical techniques and measures. In this paper, the descriptive study has been made to evaluate the quality of question papers of Mathematics with the result data.

Keywords

Engineering Mathematics, Item Analysis, Difficulty Index, Discrimination Index, Student Performance, Question Paper Quality.

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C. Jeyamala ¹, A. M. Abirami ¹

Affiliations
1 Department of Information Technology, Thiagarajar College of Engineering , Madurai, Tamil Nadu, IN

Abstract

The paper presents a detailed impact analysis of incorporating appropriate active learning strategies for enhancing student learning and engagement in the first year introductory course on Problem Solving using Computers. The major challenge in Education system is that, most of the graduates learn by rote all the way from school to college. Most of the students do not have prior experience in programming and exhibit an aversion towards programming. Active learning techniques have been proved as a viable solution to eradicate rote learning. In order to promote higher order cognitive skills and student engagement, a systematic plan incorporating appropriate active learning techniques has been designed. The experimental study has been carried out in a first year student group comprising of 119 members from the Department of Information Technology at Thiagarajar College of Engineering, Madurai. Along with traditional assessment strategies, exclusive rubrics have been designed to measure the learning outcomes.This blend of instructor led and inquiry based teaching practices in the introductory course on Problem Solving using Computers has shown positive impact on student learning and engagement. Compared with the previous academic years, Students' performance in continuous assessment and End Semester Examinations has improved significantly. Positive feedback from students and increased count of participation in programming contests and online certifications demonstrate the improved effectiveness of the adopted teaching learning strategies in promoting self learning.

Keywords

Computer Programming, Problem Based Learning, Active Learning, Higher Order Thinking Skills, Self Learning.

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P. Karthikeyan ¹, A. M. Abirami ¹, M. Thangavel ¹

Affiliations
1 Department of Information Technology, Thiagarajar College of Engineering, Madurai, Tamil Nadu, IN

Abstract

The Programme Outcomes (PO) of students are measured after the completion of every Under Graduate (UG) programme. Contributions of engineering projects on programme outcomes are significantly more when compared with other courses. The final year projects are evaluated by rubrics at different stages. The projects may fall in different categories; mapping of each project with PO needs to be carried out based on the nature of the problem and its solution. Hence, there exists a need for micro-level assessment and evaluation processes for projects. It is really a challenging process to define the set of activities needed for this. In this paper, a micro-level assessment methodology for attaining programme outcomes through UG Engineering Projects has been proposed and implemented. The process is defined in alignment with the ADDIE instructional design model and recommended to have different phases like plan, design, implement, evaluate and assessment. Project-PO mapping guidelines are prepared and used in the assessment process. This study explores the attainment level of different POs for each student and analyzes how the project helps in the attainment of Graduate Attribute (GA) for each individual. This paper discusses the detailed processes that have been carried out for the project course and how these processes help in the PO attainment level for two different batches of BTech IT students. The results of PO attainment prove that the proposed process would help in the attainment of PO, hence the Graduate Attribute level of each student.

Keywords

Engineering Project Review Process, Programme Outcome Attainment, Project PO Mapping, Project PO Attainment Calculation, Project Review Rubrics.

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