Brushed DC motors and generators (DCMs) are extensively used in various industrial applications, including the automotive industry, where they are critical for electric vehicles (EVs) due to their high torque, power, and efficiency.Despite their advantages, DCMs are prone to premature failure due to sparking between brushes and commutators, which c
Computing resource allocation scheme of IOV using deep reinforcement learning in edge computing environment
Abstract With the emergence and development of 5G technology, Mobile Edge Computing (MEC) has been closely integrated with Internet of Vehicles (IoV) technology, which can effectively support and improve network performance in IoV.However, the high-speed mobility of vehicles and diversity of communication quality make computing task offloading stra
Protracted Clonal Trajectory of a JAK2 V617F-Positive Myeloproliferative Neoplasm Developing during Long-Term Remission from Acute Myeloid Leukemia
Although transformation of the myeloproliferative neoplasms (MPNs) to acute myeloid leukemia (AML) is well documented, development of an MPN in patients previously treated for, and in remission from, AML is exceedingly rare.A case is described in which a patient was successfully treated for AML converti cap bahama mama and in whom a JAK2 V617F-posi
A bit toggling approach for AMBTC tamper detection scheme with high image fidelity.
The existing tamper detection schemes for absolute moment block truncation coding (AMBTC) compressed images are able to detect the tampering.However, the marked image qualities of these schemes can be enhanced, and their authentication methods may fail to detect some special tampering.We propose a secure AMBTC tamper detection scheme that preserves