Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Kamal El‐Sankary"'
Publikováno v:
IEEE Open Journal of Power Electronics, Vol 3, Pp 290-302 (2022)
A DC-DC boost converter is a vital part of any power harvesting system. Coupled inductors have been utilized to increase and extend the voltage gain of the boost converter. Although the duty cycle impedance matching method can accommodate the efficie
Externí odkaz:
https://doaj.org/article/5d18cc20d6db41d9bc49c51bbaeb900a
Publikováno v:
IEEE Access, Vol 10, Pp 110970-110982 (2022)
A Bandgap reference (BGR) circuit with a new high-order curvature-compensation technique is proposed in this paper. The curvature method operates by adding up two correction voltages. The first one is proportional to the difference in gate-source vol
Externí odkaz:
https://doaj.org/article/e09779c0b62e461887e31c2c8d64056b
Autor:
Ximing Fu, Kamal El-Sankary
Publikováno v:
IEEE Access, Vol 10, Pp 54589-54598 (2022)
A new 2nd order noise shaping (NS) based successive approximation register (SAR) ADC is presented in this paper. In comparison to earlier research, this paper considers hybrid passive-active integrators to compensate for the phase error of the passiv
Externí odkaz:
https://doaj.org/article/f7dbbb9c11c04872b240f2539ac35e8d
Publikováno v:
Electronics Letters, Vol 57, Iss 19, Pp 718-720 (2021)
Abstract This letter proposes a new design for a dual segmentation approximate multiplier. The proposed approximate multiplier uses the static segment method (SSM) to select an initial multiplication segment. Following that, the dynamic segment metho
Externí odkaz:
https://doaj.org/article/ce83eb2dce564c39b80228fc848915b2
Publikováno v:
IEEE Access, Vol 9, Pp 7220-7232 (2021)
This article proposes boosting the multiplication performance for convolutional neural network (CNN) inference using a precision prediction preprocessor which controls various precision approximate multipliers. Previously, utilizing approximate multi
Externí odkaz:
https://doaj.org/article/87bdee86c9e24242a64f440cb100e3c3
Publikováno v:
IEEE Access, Vol 8, Pp 45148-45155 (2020)
An intermittent frequency synthesizer for fast duty-cycled receivers is presented in this paper. Different from state-of-art techniques which try to eliminate the initial phase error that degrades the intermittent frequency detection, a new frequency
Externí odkaz:
https://doaj.org/article/0babc8d7de404085b37ce650c31dd0e1
Autor:
Issam Hammad, Kamal El-Sankary
Publikováno v:
IEEE Access, Vol 6, Pp 60438-60444 (2018)
This paper presents a study on the applicability of using approximate multipliers to enhance the performance of the VGGNet deep learning network. Approximate multipliers are known to have reduced power, area, and delay with the cost of an inaccuracy
Externí odkaz:
https://doaj.org/article/3dd3063dc05f431590888345b76f0865
Publikováno v:
SoftwareX, Vol 10, Iss , Pp - (2019)
RETSManager is a Django based platform for retrieving, storing, and synchronizing real-estate data and images from multiple listing service (MLS) servers. This platform can be used to construct synchronized and up-to-date real-estate datasets for usa
Externí odkaz:
https://doaj.org/article/24b183a9d4e64761b5185c16b89ac183
Publikováno v:
Journal of Low Power Electronics and Applications, Vol 10, Iss 4, p 39 (2020)
Photo-voltaic (PV) power harvest can have decent efficiency when dealing with high power. When operating with a DC–DC boost converter during the low-power harvest, its efficiency and output voltage are degraded due to excessive losses in the conver
Externí odkaz:
https://doaj.org/article/c0f2237767db425e956568a44fc9f655
Autor:
Issam Hammad, Kamal El-Sankary
Publikováno v:
Sensors, Vol 19, Iss 16, p 3491 (2019)
Accuracy evaluation in machine learning is based on the split of data into a training set and a test set. This critical step is applied to develop machine learning models including models based on sensor data. For sensor-based problems, comparing the
Externí odkaz:
https://doaj.org/article/9385c39cff664aa3ac0870d57dda4b51