International Journal of Electrical Engineering & Education

Engineering course is an important branch of university education. With the development of society and the integration of disciplines, some changes have taken place in the connotation of engineering, that is emerging engineering. The educational concept of emerging engineering and the internationally recognized educational certification of Engineering specialty both require higher practical ability. This paper analyses the graduation requirements of engineering education certification. Hierarchical teaching method is put forward and its effect is analyzed. It describes the concrete methods of expanding experiments by using the platform of massive open online courses, and verifies the validity of massive open online courses + simulation. It expounds the extracurricular practice scheme of “Maker Space + Competition” and demonstrates its superiority.

Probability and random processes is considered by students to be conceptually one of the most difficult subjects in the undergraduate electrical and computer engineering curriculum. There are numerous reasons for this difficulty encountered by the students. First off, humans are not innately good at probabilistic intuition. Traditionally, this subject has been introduced in a very abstract manner without emphasis on real-world applications from electrical and computer engineering discipline. In addition, extensive use of interactive simulation and visualization tools, offering an alternative way of developing probabilistic intuition, is usually missing from traditional course offerings. This paper presents a unique pedagogical approach to teaching an introductory probability course offered to electrical and computer engineering juniors. The salient features of the proposed pedagogical approach include more emphasis on real-world electrical and computer engineering problems that show the applications of abstract probabilistic concepts; extensive hands-on and interactive MATLAB® simulations of real-world electrical and computer engineering problems that are tightly integrated into the curriculum; highlighting the frequentist approach to build probabilistic intuition using simulations; concrete examples showing how naive probabilistic intuition can be erroneous and how to develop correct probabilistic intuition based on systematically modeling, simulating, and analyzing a problem; and application-based simulations driving the abstract theory rather than the other way around. This pedagogical approach was implemented in a course offered to electrical and computer engineering undergraduates at Purdue University Northwest. The paper presents a concrete example illustrating how the salient features of the proposed pedagogical approach were implemented as part of this course and student data from the courses to validate the efficacy of the proposed approach.

Existing recommendation systems lack to address the need of several problems in education domain due to the availability of limited information. Study of recommendation systems to facilitate students’ education in their relevant services is being carried out in different perspective. Hence, the objective of this work is to apply existing knowledge for decision making to recommend students during their course registration process in an institution. The situation where more number of experts involves in decision making was influenced by Fuzzy Soft Expert Set (FSES). This work emphasizes the application of FSES for facilitating students’ course registration process assuming that the same course is offered by more number of faculty members during a semester. As more number of experts involved in this process and the uncertainty of the available data, using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) along with FSES was considered. A new methodology FSES-TOPSIS was also applied in this work. The proposed method was accurate enough to enable students to rank the faculty members based on their previous performance and to enroll themselves with the faculty members of their interest. The method proposed here can be extended for various problems of similar nature.

Microwave engineering is a technology-based course. Students can easily score high assessments in this course, because more of the engineering students are interested in this kind of application-oriented course. Normally, the achievement of students in this course is evaluated based on their summative assessment. Hence, the score of evaluation which obtained by the students in this course oftentimes does not match with the actual quality of the students, especially regarding their practical skill. In this paper, several simple practical assignments were proposed for undergraduate students to complete their assessment in microwave engineering course.

This study presents a modeling method for control system of multi-coupled non-linear cyber physical system with the help of second-order dynamics of communicating membrane system of neuronal population based on a population coding algorithm. Here, the communicating membrane system is modeled based on several IoT devices connected in peer to peer form and the theory of fractional differential equations is as governing function over them. Here, the difficulty is in developing a collaborative learning algorithm for finding collaborative key points within high-dimensional decision space. In order to overcome such a problem, a gradient-based method is required to enable distributed control and collaborative decision making. Here, at every interval of the sampling time, all the subsystems are optimally synchronized in P population system by multiset-rewriting rules including the effect of symport/antiport systems. This is an interesting technical problem, related to the borderline between universality and non-universality of continuity of distributed coupling of multi-coupled control system. The presented study discusses the experimental proof of the algorithmic framework and model for SLAM operation. The consensus architecture in this domain will enable the development of evolving architecture of a non-linear cyber physical system. The close loop stability and the recursive feasibility of the evolved architecture are also studied.

Fingerprint-based authentication systems in general are prone to several security vulnerabilities. Authentication systems such as Biometric crypto systems, Cancellable templates and Bio-hashing provide a solution for addressing these vulnerabilities. But these systems are vulnerable to the unauthorized access resulting from the spoofed fingerprint templates by the fraudulent users. Hence, it is essential to enhance the features of the existing Biometric fingerprint-based authentication systems. An extensive research has been carried out by various researchers on the existing fingerprint authentication system techniques and it is found that none of them are fully capable of eliminating the security vulnerabilities. Fingerprint authentication system technique based on one time fingerprint template provides a solution for this by generating one time template from the fingerprint features. Although this method addresses vulnerability issues to a certain extent, improvements are highly essential particularly in terms of their security and performance. There are several systems based on finger code, where fingerprint features will be converted into finger code using a circular tessellation technique. Although authentication based on this technique improves security, the possibility of compromising the finger code is a huge threat, which needs to be addressed. In this paper, an innovative model is proposed which generates a secure one time finger code during every user authentication. It is generated using finger code obtained from minutiae vectors using a circular tessellation approach, pseudo-random number generators and timestamp, which are generated during every user transaction session. This unique encoding approach makes it extremely difficult for an unauthorized user to decode the generated finger code that is used for a particular authentication session. Thus, the possibility of compromise of original fingerprint can be avoided and thus security of biometric system can be enhanced. The proposed system also provides better performance in terms of its accuracy, processing speed and complexity.