Zobrazeno 1 - 10
of 2 406
pro vyhledávání: '"Lang, A. H."'
Autor:
Zhang, John Z., Graf, Lukas, Banerjee, Annesya, Yeiser, Aaron, McHugh, Christopher I., Kymissis, Ioannis, Lang, Jeffrey H., Olson, Elizabeth S., Nakajima, Hideko Heidi
Purpose: One of the major reasons that totally implantable cochlear microphones are not readily available is the lack of good implantable microphones. An implantable microphone has the potential to provide a range of benefits over external microphone
Externí odkaz:
http://arxiv.org/abs/2312.14844
Autor:
Yeiser, Aaron J., Wawrzynek, Emma F., Zhang, John Z., Graf, Lukas, McHugh, Christopher I., Kymissis, Ioannis, Olson, Elizabeth S., Lang, Jeffrey H., Nakajima, Hideko Heidi
Objective: We present the "UmboMic," a prototype piezoelectric cantilever microphone designed for future use with totally-implantable cochlear implants. Methods: The UmboMic sensor is made from polyvinylidene difluoride (PVDF) because of its low Youn
Externí odkaz:
http://arxiv.org/abs/2312.14339
In part II, an op-amp-based drive is proposed and designed. Subsequently, a very accurate model for the drive circuit and the current loop is developed as a simulation platform, while its simplified version is derived, tailored for efficient design p
Externí odkaz:
http://arxiv.org/abs/2312.04049
In this paper, Amperian current and magnetic charge models of permanent magnets are integrated into a hybrid approach to develop a comprehensive analytical modeling for designing a slotless double-sided linear motor with an arbitrary Halbach array. U
Externí odkaz:
http://arxiv.org/abs/2312.04053
Electromechanical models are crucial in the design and control of motors and actuators. Modeling, identification, drive, and current control loop of a limited-rotation actuator with magnetic restoration is presented. New nonlinear and linearized elec
Externí odkaz:
http://arxiv.org/abs/2312.04046
Time series anomaly detection is challenging due to the complexity and variety of patterns that can occur. One major difficulty arises from modeling time-dependent relationships to find contextual anomalies while maintaining detection accuracy for po
Externí odkaz:
http://arxiv.org/abs/2310.15416
Conditional generative models are capable of using contextual information as input to create new imaginative outputs. Conditional Restricted Boltzmann Machines (CRBMs) are one class of conditional generative models that have proven to be especially a
Externí odkaz:
http://arxiv.org/abs/2305.08337
Autor:
Jian, Qi, Chihuri, Stanford, Andrews, Howard F., Betz, Marian E., DiGuiseppi, Carolyn, Eby, David W., Hill, Linda L., Jones, Vanya, Mielenz, Thelma J., Molnar, Lisa J., Strogatz, David, Lang, Barbara H., Li, Guohua
Publikováno v:
In Accident Analysis and Prevention September 2024 204
Publikováno v:
In Journal of Accounting and Economics April-May 2024 77(2-3)
Autor:
Koole, Dylan, Lans, Amanda, Lang, Julian H., de Groot, Tom M., Borkhetaria, Pranati, Verlaan, Jorrit-Jan, Schwab, Joseph H., Tobert, Daniel G.
Publikováno v:
In The Spine Journal February 2024 24(2):263-272