workspace analysis is one of the most important issues in the robotic parallel manipulator design. ‎however, ‎the unidirectional constraint imposed by cables causes this analysis more challenging in the cabledriven redundant parallel manipulators. controllable workspace is one of the general workspace in the cabledriven redundant parallel manipulators due to the dependency on geometry parameter...

Workspace analysis is one of the most important issues in the robotic parallel manipulator design. ‎However, ‎the unidirectional constraint imposed by cables causes this analysis more challenging in the cabledriven redundant parallel manipulators. Controllable workspace is one of the general workspace in the cabledriven redundant parallel manipulators due to the dependency on geometry parameter...

In many cases, redundant systems are beset by both independent and dependent failures. Ignoring dependent variables in MTBF evaluation of redundant systems hastens the occurrence of failure, causing it to take place before the expected time, hence decreasing safety and creating irreversible damages. Common cause failure (CCF) and cascading failure are two varieties of dependent failures, both l...

[no abstract available]

سخن سردبیر   editorial   مجله دانشگاه علوم پزشکی رفسنجان   دوره نهم، شماره چهارم ، زمستان 138 9، 248-247     انتشار اضافی   redundant publication     محسن رضائیان [1]   m. rezaeian در سخن سردبیری زمستان 1388 مجله دانشگاه علوم پزشکی رفسنجان که به موضوع «اخلاق انتشار» ( publication ethics ) پرداخته بود [1]، به مواردی از عدم رعایت اخلاق انتشار توسط نویسندگان یک مقاله از جمله «سرقت علمی» ( plagiari...

Fast Fourier Transform (FFT) processors employed with pipeline architecture consist of series of Processing Elements (PE) or Butterfly Units (BU). BU or PE of FFT performs multiplication and addition on complex numbers. This paper proposes a single BU to compute radix-2, 8 point FFT in the time domain as well as frequency domain by replacing a series of PEs. This BU comprises of fused floating ...

Feature selection is a pre-processing technique used for eliminating the irrelevant and redundant features which results in enhancing the performance of the classifiers. When a dataset contains more irrelevant and redundant features, it fails to increase the accuracy and also reduces the performance of the classifiers. To avoid them, this paper presents a new hybrid feature selection method usi...