Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Hadil Mustafa"'
Autor:
Hadil Mustafa, Shelby Freese
Publikováno v:
2018 ASEE Annual Conference & Exposition Proceedings.
Autor:
Hadil Mustafa
Publikováno v:
2018 ASEE Annual Conference & Exposition Proceedings.
Autor:
Hadil Mustafa
Publikováno v:
2019 ASEE Annual Conference & Exposition Proceedings.
Publikováno v:
2019 IEEE Electric Ship Technologies Symposium (ESTS).
FPGAs have shown great potential in accelerating the execution of a wide variety of workloads, including simulations of physical and electrical systems. However, many users do not possess sufficient expertise in modern digital design techniques to ac
Publikováno v:
2019 IEEE Electric Ship Technologies Symposium (ESTS).
In this paper, we present an approach to model simulation systems at the Register-Transistor Level RTL for an efficient implementation on Field Programmable Gate Arrays FPGAs. The process uses a hybrid technique utilizing two commercially available t
Publikováno v:
2016 IEEE SENSORS.
Nitrate is a commonly found nitrogen species in the environment, especially in agricultural regions. Since excessive nitrate accumulation has negative impacts on the environment, the quantitative monitoring of nitrate levels in the field is a critica
Autor:
Hadil Mustafa, Pai H. Chou
Publikováno v:
HPCC-ICESS
This paper proposes a distributed real-time detection algorithm for detecting rupture events in water pipelines noninvasively. The purpose is to suppress not only unnecessary transmission but also local processing in order to save power without sacri
Publikováno v:
SPIE Proceedings.
This paper discusses issues of using wireless sensor systems to monitor structures and pipelines in the case of disastrous events. The platforms are deployed and monitored remotely on lifetime systems, such as underground water pipelines. Although si
Autor:
Hong Rok Kim, Hadil Mustafa, Selim Pul, Debasis Karmakar, Sehwan Kim, Masanobu Shinozuka, Eunbae Yoon, Pai H. Chou
Publikováno v:
SPIE Proceedings.
A MEMS-based wireless sensor network (WSN) is developed for nondestructive monitoring of pipeline systems. It incorporates MEMS accelerometers for measuring vibration on the surface of a pipe to determine the change in water pressure caused by ruptur