Informatics Publishing Limited

Ashwini M. Deshpande ¹, Manali Gaikwad ¹, Saudamini Patki ¹, Aditee Rathi ¹, Sampa Roy ²

Affiliations
1 Department of Electronics and Telecommunication Engineering, Cummins College of Engineering for Women, IN
2 Signal and Image Processing Group, Space Applications Centre, IN

Abstract

Building extraction from aerial imagery facilitates many geo-specialized tasks like Urban Planning, Map Generation and Disaster Management. Well planned cities ensure good sanitation, lesser pollution and hence, a better standard of living for its citizens. This is essential for developing countries which face a major crisis of urban migration and space crunch, and where planned cities would be a move towards smart living. The objective of this work is to segment building footprints from aerial images. Traditional pixel clustering algorithms like K-means, Color Quantization (CQ) and Gaussian Mixture Model (GMM) are implemented with inclusion of preprocessing steps for improved performance. These techniques are compared based on performance and time taken. The number of clusters/components are selected on the basis of Silhouette Score and Akaike Information Criterion/ Bayesian Information Criterion (AIC/BIC). A commonly encountered problem in building segmentation is misclassification of pixels due to shadows. This challenge is dealt by masking shadows using morphological operations as a part of preprocessing.

Keywords

Shadow Detection, K-Means, Colour Quantization, Gaussian Mixture Model, AIC/BIC.

Full Text

     

Sharwari P. Kokil ¹, Ashwini M. Deshpande ¹

Affiliations
1 Electrical &Telecommunication Engineering Department, Savitribai Phule Pune Univesity at TSSM’S BSCOER, Narhe, Pune-41, IN

Abstract

Data security is considered as prime importance in various fields, to accomplish this security cryptographic algorithms are used. Cryptography is a means scribbling information for security reason, so that it is not obtainable to intruders. IDEA NXT is upcoming cryptographic algorithms which belong to a symmetric block cipher family. IDEA NXT is an inheritor of IDEA (International Data Encryption Algorithm) cryptographic algorithm. IDEA NXT uses Lai-Massey structure, an OR function which is known as orthomorphism and number of rounds. IDEA NXT can be simply implemented on hardware or software platform. In this paper we have implemented IDEA NXT on Spartan3E FPGA. Implementation of IDEA NXT algorithm on Spartan3E is physically secure as it cannot be modified or read from exterior and parallel operation increase the speed of execution. We have implemented the IDEA NXT algorithm and reduced the static power from 0.082 W to 0.071 W.

Keywords

FPGA, IDEA NXT, Lai-Massey, Orthomorphism.

Full Text

     

Ashwini M. Deshpande ¹

Affiliations
1 E&TC Department, MKSSS’s Cummins College of Engineering for Women, Pune, IN

Abstract

Project-based learning (PjBL) is one of the most predominantly practiced forms of active learning pedagogy in higher education. PjBL framework provides an authenticated platform/forum for 21st-century learners to acquire skills for solving real-life complex engineering problems through collaborative and iterative learning. The work presented in this paper describes a PjBL approach implemented as an instructional pedagogy and for a summative assessment of an undergraduate (UG) course on Digital Signal Processing (DSP). Students from Electronics and Telecommunication Department study this course in Third Year Engineering as a core course. The projects are chosen to make students identify and resolve real-life signal processing problems utilizing their subject knowledge and programming skills. PjBL implementation framework and rubrics-based evaluation devised for their summative assessment are discussed along with a study case. Student feedback analysis on the attainment of course outcomes and skills enhanced after completion of the course project is discussed. Through this analysis, it has been found that the effectiveness of the PjBL pedagogy employed has led to increasing students’ engagement and interest in learning signal processing topics. It has also grown their self-learning ability and created awareness about the practical applications of the Digital Signal Processing course.

Keywords

Active Learning Pedagogy, Digital Signal Processing, Outcome-Based Education (OBE), Project-Based Learning, Self-Learning.

Full Text

     

Sharada N. Ohatkar ¹, Ashwini M. Deshpande ¹

Affiliations
1 E&TC Department, MKSSS’s Cummins College of Engineering for Women, Pune, IN

Abstract

Outcome-based education (OBE) is the buzzword these days in the education field which boosts students’ creativity through their active engagement in learning course contents. Their participatory learning in the OBE model is well supported by making them aware of learning goals and course outcomes. Due to this, the students develop themselves nicely in their working surroundings along with peers. This helps develop their interpersonal skills along with improving academic performance. This paper primarily outlines the implementation of a few key standards of OBE in teaching-learning of two fundamental courses in Electronics and Telecommunication Engineering. It then covers how OBE, and its consequences demand paradigm shifts in instructional design and evaluation practices. The discussion on OBE for courses on Digital Communication and Digital Signal Processing is explored with Program Outcomes (POs), Program-Specific Outcomes (PSOs), and Course Outcomes (COs). Analysis of PO and CO attainment for these two courses reflects the importance of the OBE framework. The inclusion of engineering pedagogy and active learning strategies in this framework leads to enhancing students’ creativity leading to their growth in their professional careers.

Keywords

Outcome-Based Evaluation (OBE), Course Outcomes (COs), Program Outcomes (POs), Program-Specific Outcomes (PSOs), Performance Indicators (PIs).

Full Text