توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱Implementing a Smart Method to Eliminate Artifacts of Life Signals
اطلاعات انتشار: کنفرانس بین المللی مهندسی، هنر و محیط زیست، سال
تعداد صفحات: ۹
Brains signals of EEG, have vital and important applications in different medical fields. Hence having easy access to suitable and useful signal is very important.In this regard, the inevitable existence of disturbing artificial signals in EEG signals have always brought about problems for applicability of these valuable signals. Artifacts are undesirable confusions which are generally originated from inevitable human activities such as heartbeat, blinking of eye, and facial muscle activities while receiving EEG signal and can bring about deformation in these waves. Therefore, solutions must be proposed to eliminate these artifacts that have the ability of auto–functioning and in general conditions be able to be used by individuals with different specialties, and also have desirable function in protecting the main signal data, such solutionswould have great importance in all applications of EEG signal.Based on the importance of the subject, our objective is to find a suitable solution in this field. Accordingly, a comparison would be conducted among various methods of eliminating signal artifacts and noise elimination method will be presented using new methods based on programmable digital circuit complex.<\div>

۲Representation of Fuzzy logic Controllers for DC–DC Converters
نویسنده(ها): ،
اطلاعات انتشار: ششمین کنفرانس مهندسی برق و الکترونیک ایران، سال
تعداد صفحات: ۵
In this paper, two distinct topologies–based fuzzy logic controllers for Dc–Dc converters are presented. The fundamentals governing the design, control and performance of the Dc–Dc converters are also illustrated. Two methods for computing the duty cycle are investigated. Simulation results for Buck converter using first topology and second method for computing the duty cycle have been obtained using appropriate scaling factors associated with the input variables of the fuzzy control.<\div>

۳Android application for mobile phones to communicate with Glove pattern and the FUM BIONIC HAND
اطلاعات انتشار: اولین کنفرانس بین المللی دستاوردهای نوین پژوهشی در مهندسی برق و کامپیوتر، سال
تعداد صفحات: ۶
Ferdowsi University of Mashhad FUM Bionic Hand was built in the FUM robotics lab. This prosthetic hand is intelligent and has the ability to communicate wirelessly with computers. We have recently added new features, including a glove pattern to train the hand for shape grasping and also Android app for mobile that is an interface to transmit signal from the Glove and EMG received signal and to communicate with the prosthesis.This application is designed for disabled people to communicate and control their EMG signals received by the prosthesis. Thus disables can determine the threshold of incoming signal. As the EMG signal is variable and dependent on various conditions; in this method the disables can determine two ranges for the system: full contraction and relaxation. And to according to the condition the thresholds of the opening and closing of the fingers is determined by the software.<\div>
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