Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Zhuo Ruan"'
Publikováno v:
Micromachines, Vol 15, Iss 9, p 1072 (2024)
The triboelectric nanogenerator (TENG) has the potential to serve as a high-entropy energy harvester, enabling the self-powered operation of Internet of Things (IoT) devices. True random number generator (TRNG) is a common feature of encryption used
Externí odkaz:
https://doaj.org/article/b8bfa637357a4efca85dcfb3188ee2de
Autor:
David A. Penry, Zhuo Ruan
Publikováno v:
ICCD
Computer designers rely upon near-cycle-accurate microarchitectural simulators to explore the design space of new systems. Hybrid simulators which offload simulation work onto FPGAs overcome the speed limitations of software-only simulators as system
Publikováno v:
ICCD
Computer designers rely upon near-cycle-accurate microarchitectural simulation to explore the design space of new systems. Unfortunately, such simulators are becoming increasingly slow as systems become more complex. Hybrid simulators which offload s
Publikováno v:
ICCD
Structural modeling serves as an efficient method for creating detailed microarchitectural models of complex microprocessors. High-level language constructs such as templates and object polymorphism are used to achieve a high degree of code reuse, th
Autor:
Zhuo Ruan, David A. Penry
Publikováno v:
ISCAS
Pure software simulators are too slow to simulate modern complex computer architectures and systems. Hybrid software/hardware simulators have been proposed to accelerate architecture simulation. However, the design of the hardware portions and hardwa
Publikováno v:
SIES
Under the influence of reconfigurable embedded computing techniques, advanced reliable space computer has been a vital research area for several years. This paper presents a FPGA-based architecture for run-time parallel processing on space solar tele
Publikováno v:
2005 International Conference on Industrial Electronics and Control Applications.
In this paper, a practically usable dual-mode control micro-system based on CPLD and reconfigurable FPGA is described. FPGA can be dynamically reconfigured under the control of CPLD to implement two models, backpropagation neural network model and it
Publikováno v:
2005 International Conference on Neural Networks and Brain.
In this paper, the algorithm and structure of BP NN (backpropagation neural network) and its training process used for a soft-sensing process are described and its implementation on real-time reconfigurable FPGA (field programmable field array) syste
Publikováno v:
2005 International Conference on Neural Networks and Brain.
In this paper the hardware-realization of training and execution processes of a BP-network with fuzzily-processed inputs and output on an on-line reconfigurable FPGA-MCU system is suggested and the application into dual-mode control technology with a
Publikováno v:
2011 IEEE 29th International Conference on Computer Design (ICCD); 2011, p253-260, 8p