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An 8 Gb 4-stack 3-D DDR3 DRAM with through-Si-via is presented which overcomes the limits of conventional modules. A master-slave architecture is proposed which decreases the standby and active power by 50 and 25%, respectively. It also increases the I/O speed to > 1600 Mb/s for 4 rank/module and 2 module/channel case since the master isolates all chip I/O loadings from the channel. Statistical...
We measured synchronization performance of FlexRay for OSEKtime and described why we must consider synchronization performance. Previous studies present scheduling methods for time-triggered systems when ideal constraints WCET(Worst Case Execution Time), deadline, resource dependency, etc.) are given. However, there are some differences between real distributed systems and ideal constraints. Because...
High-quality courses offered to freshman engineering students can help them to develop into excellent engineers. Freshman-year courses have a great impact on these students. Students can learn what real engineers do by learning important aspects of an engineering career in their courses. Thus, improving the educational effect of courses is an important issue. Many design courses are offered to freshman...
As the number of electronic control units (ECUs) in vehicles increases, ECUs can create a large and complicated in-vehicle network. Therefore, in-vehicle networks need a network management algorithm for improved reliability. The open system and corresponding interfaces for automotive electronics/vehicle distributed executive (OSEK/VDX) set a goal of being the industry standard for real-time operating...
It is very important to communicate between the many electronic components in automobiles. If any component has an error, is possible for the error to affect other components. We propose a method of handling cyclic redundancy check (CRC) errors in the network using FlexRay. The FlexRay vehicle network protocol features fault-tolerance and guaranteed message latency. According to the FlexRay specification,...
An agent-based approach is proposed in this paper to analyze interactions between the emission and electricity markets. A cap-and-trade system is assumed to be in place to regulate emissions from power generation. Generation companies are modeled as adaptive learning agents that can bid strategically into the electricity market by Q-learning algorithm. These companies also participate in allowances...
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