A Software Radio Challenge Accelerating Education and Innovation in Wireless Communications

This Innovative Practice Full Paper presents our methodology and tools for introducing competition in the electrical engineering curriculum to accelerate education and innovation in wireless communications. Software radio or software-defined radio (SDR) enables wireless technology, systems and standards education where the student acts as the radio developer or engineer. This is still a huge endeavor because of the complexity of current wireless systems and the diverse student backgrounds. We suggest creating a competition among student teams to potentiate creativity while leveraging the SDR development methodology and open-source tools to facilitate cooperation. The proposed student challenge follows the European UEFA Champions League format, which includes a qualification phase followed by the elimination round or playoffs. The students are tasked to build an SDR transmitter and receiver following the guidelines of the long-term evolution standard. The metric is system performance. After completing this course, the students will be able to (1) analyze alternative radio design options and argue about their benefits and drawbacks and (2) contribute to the evolution of wireless standards. We discuss our experiences and lessons learned with particular focus on the suitability of the proposed teaching and evaluation methodology and conclude that competition in the electrical engineering classroom can spur innovation.Comment: Frontiers in Education 2018 (FIE 2018

Discovery Learning Experiments in a New Machine Design Laboratory

A new Machine Design Laboratory at Marquette University has been created to foster student exploration with hardware and real-world systems. The Laboratory incorporates areas for teaching and training, and has been designed to promote “hands-on” and “minds-on” learning. It reflects the spirit of transformational learning that is a theme in the College of Engineering. The goal was to create discovery learning oriented experiments for a required junior-level “Design of Machine Elements” course in mechanical engineering that would give students practical experiences and expose them to physical hardware, actual tools, and real-world design challenges. In the experiments students face a range of real-world tasks: identify and select components, measure parameters (dimensions, speed, force), distinguish between normal and used (worn) components and between proper and abnormal behavior, reverse engineer systems, and justify design choices. The experiments serve to motivate the theory and spark interest in the subject of machine design. This paper presents details of the experiments and summarizes student reactions and our experiences in the Machine Design Laboratory. In addition, the paper provides some insights for others who may wish to develop similar types of experiments

Cooperative Wideband Spectrum Sensing Based on Joint Sparsity

COOPERATIVE WIDEBAND SPECTRUM SENSING BASED ON JOINT SPARSITY By Ghazaleh Jowkar, Master of Science A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science at Virginia Commonwealth University Virginia Commonwealth University 2017 Major Director: Dr. Ruixin Niu, Associate Professor of Department of Electrical and Computer Engineering In this thesis, the problem of wideband spectrum sensing in cognitive radio (CR) networks using sub-Nyquist sampling and sparse signal processing techniques is investigated. To mitigate multi-path fading, it is assumed that a group of spatially dispersed SUs collaborate for wideband spectrum sensing, to determine whether or not a channel is occupied by a primary user (PU). Due to the underutilization of the spectrum by the PUs, the spectrum matrix has only a small number of non-zero rows. In existing state-of-the-art approaches, the spectrum sensing problem was solved using the low-rank matrix completion technique involving matrix nuclear-norm minimization. Motivated by the fact that the spectrum matrix is not only low-rank, but also sparse, a spectrum sensing approach is proposed based on minimizing a mixed-norm of the spectrum matrix instead of low-rank matrix completion to promote the joint sparsity among the column vectors of the spectrum matrix. Simulation results are obtained, which demonstrate that the proposed mixed-norm minimization approach outperforms the low-rank matrix completion based approach, in terms of the PU detection performance. Further we used mixed-norm minimization model in multi time frame detection. Simulation results shows that increasing the number of time frames will increase the detection performance, however, by increasing the number of time frames after a number of times the performance decrease dramatically

Learning science and technology through cooperative education.

Cooperative education, a form of experiential or work‐integrated learning is common in tertiary educational institutions worldwide. However, in New Zealand few institutions provide work‐integrated learning programs in science or technology, and the management and process of work‐integrated learning programs is not that well understood. How well do such programs work? What infrastructure is needed to ensure learning actually occurs? Are graduates of work‐integrated learning programs able to satisfy employer needs? This chapter synthesizes decades of work around such issues, and details research initiatives that provide valuable insights into how students learn science on in the workplace, how their skill development matches that desired by employers, and best practice for management of work‐integrated learning in science and engineering (Asia‐Pacific Journal of Cooperative Education, 2007, 8(2), 131‐147)

USAge of Groupware in Software Engineering Education at the Cscw Laboratory of University Duisburg-essen: Possibilities and Limitations

This paper analyzes the application level in CSCW laboratory there are Electronic meeting rooms, Video Conferencing, Desktop Conference (Passenger), and BSCW system which conducting in The University Duisburg – Essen Germany. This analysis included short analysis and discussion about possibilities and limitation of each experiment followed by outlook how this lab can be further developed.Multi-user to Multipoint Videoconferences is introduced to cover all of devices join to the conferences. A computer network, PSTN (Public Switched Telephone Network), ISDN Phone, Wireless Infrastructures (accessed by laptop, smart phone, PDA) and videoconferences systems is proposed to be integrate

The Group Methodology of Using Cloud Technologies in the Training of Future Computer Science Teachers

The development of cloud computing resources and their implementation in university education require an increase in the ICT-competence of future computer science teachers. The article considers the use of project method as an effective tool of encouraging students’ cooperation while solving practical problems and as a means of developing their essential professional skills. The following pedagogical approaches and techniques were used: partnership of group members, development of group work skills, heterogeneous grouping, combined use of individual and peer assessment, teacher’s monitoring of the students’ work, focus on the task and group work skills, chance for every member to be a leader, essential feedback. The authors suggest using private and public cloud technologies to support the implementation of group methodology in the teaching process. One of such technologies is academic cloud based on the Apache CloudStack platform. This cloud environment is deployed in Physics and Mathematics Department of Ternopil V. Hnatiuk National Pedagogical University. The suggested method has been verified experimentally by using Wilcoxon signed-rank test