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Mahajan, Alka
- Design and Implementation of Support Vector Based Classifier for Face Recognition
Authors
Source
Biometrics and Bioinformatics, Vol 2, No 10 (2010), Pagination: 266-270Abstract
Linear Discriminant Analysis (LDA) is a well known technique for face recognition with good recognition rate. Support Vector Machines (SVMs) have been recently proposed as a new classifier for pattern recognition. A novel method for face recognition, using LDA and SVM has been proposed in this paper wherein large sample size problem is reduced to small sample size problem using support vectors, and Discriminant analysis is done only on support vectors. Locality preserving projection (LPP) is used as a basic dimension reduction technique. Experiments are performed on Indian Face database and error rates of classification and elapsed time for performance evaluation are compared with techniques such as locality preserving projection LPP , LPP and principal component analysis (LPP+PCA) and LPP and linear discriminant analysis(LPP+LDA).Keywords
Face Recognition, Statistical Learning Theory, Support Vector Machines.- A New Comprehensive Methodology for Evaluation of Course Outcomes and Programme Outcomes
Authors
1 Department of Mechanical Engineering, School of Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, IN
2 School of Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, IN
3 SVKM's NMIMS Mukesh Patel School of Technology Management & Engineering, Mumbai, Maharashtra, IN
Source
Journal of Engineering Education Transformations, Vol 36, No 1 (2022), Pagination: 95-103Abstract
Course Outcomes (CO) and Programme Outcomes (PO) are the backbone of Outcome Based Education (OBE) and their evaluation definite using a established methodology is necessary to track the progress and effective implementation of OBE. The CO, Course and PO attainment level determine the extent to which the skill/abilities as vide envisaged PO are imbibed by the students. The CO, Course and s PO attainment also provide for corrective an insight actions.
A new method for determination of CO, Course and PO attainment level is presented in this paper. The method is comprehensive and unique as it takes into consideration the varying weightage of each course component such as Continuous Evaluation (CE), Semester End Examination (SEE), Laboratory and and Practical Work (LPW). This not only ensures that all assessment components are covered but it also has a provision to take into account the effect of multiple mapping. This allows a teacher the flexibility to frame questions which can map with multiple COs. The proposed gives individual as well as class method attainment levels of the Course and the s, thus CO allowing a more focused root cause analysis and corrective actions. method also allows for The calculation of the PO attainment level based on the CO and Course attainment level and the Program Articulation Matrix. The criteria for deciding the actions based on the PO and CO assessment levels are also presented.
Keywords
Accreditation, Course Outcome, Direct Attainment, Outcome Based Education, Program Outcome.References
- Accreditation Board for Engineering and Technology (ABET) (2018), Accreditation policies and procedures https://www.abet.org/accreditation/accreditation-criteria/accreditation-policy-and-procedure-manual-appm-2019-2020/#1 Accessed on 29 August 2020.
- National Board of Accreditation, NBA (2018) Annexure I of Self-Assessment Report Accessed on 29 August 2020.
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- Izham Zainal Abidin, Adzly, Anuar, Norshah Hafeez (2009), Assessing the attainment of course outcomes for an engineering course, Proceedings of 2nd International Conference of Teaching Learning, INTI University, Malyasia, 1-7.
- Hamimi Fadaiti, Afida Ayob, Wan Mimi Diyana, Hafizah Hussain, Aini Hussain, Siti Salasiah Mori, (2011), Program Outcomes Measurement and Assessment Processes, Procedia Social and Behavioral Sciences, 18, 49-55.