Canadian Journal of Electrical and Computer Engineering-revue Canadienne De Genie Electrique Et Informatique 

About: Canadian Journal of Electrical and Computer Engineering-revue Canadienne De Genie Electrique Et Informatique is an academic journal published by Institute of Electrical and Electronics Engineers. The journal publishes majorly in the area(s): Computer science & Electric power system. It has an ISSN identifier of 0840-8688. Over the lifetime, 686 publications have been published receiving 6630 citations. The journal is also known as: IEEE Canadian journal of electrical and computer engineering & Journal canadien de génie électrique et informatique.

Wireless security through RF fingerprinting

Abstract: The process of identifying radio transmitters by examining their unique transient characteristics at the beginning of transmission is called RF fingerprinting. The security of wireless networks can be enhanced by challenging a user to prove its identity if the fingerprint of a network device is unidentified or deemed to be a threat. This paper addresses the problem of identifying an individual node in a wireless network by means of its RF fingerprint. A complete identification system is presented, including data acquisition, transient detection, RF fingerprint extraction, and classification subsystems. The classification performance of the proposed system has been evaluated from experimental data. It is demonstrated that the RF fingerprinting technique can be used as an additional tool to enhance the security of wireless networks.

A new measure of software complexity based on cognitive weights

Abstract: One of the central problems in software engineering is the inherent complexity. Since software is the result of human creative activity, cognitive informatics plays an important role in understanding its fundamental characteristics. This paper models one of the fundamental characteristics of software, complexity, by examining the cognitive weights of basic software control structures. Based on this approach a new concept of cognitive functional size of software is developed. Comparative case studies of the cognitive complexity and physical size of 20 programs are reported. The cognitive functional size provides a foundation for cross-platform analysis of complexity, size, and comprehension effort in the design, implementation, and maintenance phases of software engineering.

A Comprehensive Review of Axial-Flux Permanent-Magnet Machines

Abstract: This paper presents a state-of-the-art review of axial-flux permanent-magnet (AFPM) machines in the aspects of construction, features, electromagnetic and thermal modeling, simulation, analysis, design, materials, and manufacturing. Some key references on the above-mentioned aspects pertaining to the machine are discussed briefly. Particular emphasis is given on the design and performance analysis of AFPM machines. A comparison among different permanent magnet machines is also provided. Thus, this paper makes a bridge between the currently used permanent magnet machines in industry and the recent developments of AFPM machines.

Optimization and Energy Management in Smart Home Considering Photovoltaic, Wind, and Battery Storage System With Integration of Electric Vehicles

Abstract: With the emergence of smart grid, which presents the next generation of electrical power systems, residents have the opportunities to manage their home energy usage to reduce energy expenditure. This paper presents a mixed integer linear programming model to optimize the energy production and consumption systems in a smart home with the integration of renewable energy resources, battery storage systems, and gridable vehicles. Numerous case studies are presented by varying significant factors through the design of experiments with the Taguchi method. After that, a heuristic technique is proposed to solve the problem of residential energy management and to minimize the electricity cost of the consumer. Results find the global optimum solution for many consecutive days with important reduction of execution time and by achieving significant energy cost savings of the considered scenarios.

A region-based P300 speller for brain-computer interface

Abstract: A brain-computer interface (BCI) is a system that conveys messages and commands directly from the human brain to a computer. The BCI system described in this work is based on the P300 wave. The P300 is a positive peak of an event-related potential (ERP) that occurs 300 ms after a stimulus. One of the best-known and most widely used P300 applications is the P300 speller designed by Farwell-Donchin in 1988. The Farwell-Donchin paradigm has been a benchmark for P300 BCIs. In this paradigm, a 6 X 6 matrix of letters and numbers is displayed, and the subject focuses on a target character while rows and columns of characters flash. Through detection of P300 for one row and one column, the target character can be identified. In this paper, it is shown that there is a human perceptual error in the Farwell-Donchin paradigm. To eliminate this error, a new region-based paradigm is presented. Using experimental results, it is shown that the new paradigm has several advantages over the Farwell-Donchin paradigm and achieves better accuracy.