There are varieties of embedded systems in the world. It is a big challenge to optimize the instruction sets of System on Chips (SoCs) according to different systems' working environments. The idea of programmable...There are varieties of embedded systems in the world. It is a big challenge to optimize the instruction sets of System on Chips (SoCs) according to different systems' working environments. The idea of programmable instruction set is an effective method to gain embedded system's re-configurability. This letter presents a logic module for Java processor to be capable of using programmable instruction set. Cost (area, power, and timing) of the module is trivial. Such module is also reusable for other embedded system solutions besides Java systems.展开更多
Signal traits are often linked with the physiological state and behavior of their bearer. Direct examination of the causal links among these variables has provided substantial insight into the information content of s...Signal traits are often linked with the physiological state and behavior of their bearer. Direct examination of the causal links among these variables has provided substantial insight into the information content of signals, and into the costs and benefits of signal expression. Yet recent empirical work suggests that the social context in which signals are developed and displayed can play a major role not only in how signals are received, but also in coordinating and mediating the signaling phenotype itself. Here we review both well-established and emerging evidence for direct feedbacks among an individual＇s physiological state, be- havior, and signal elaboration. We then describe an integrative view of signaling that takes into account the bidirectional rela- tionships among components of phenotype and the social context in which signals are developed and displayed. Integrating dy- namic feedback between context and phenotype within models of the evolution and maintenance of signals may yield insights into how signals evolve, how signaling phenotypes are coordinated and maintained on ecological and evolutionary time scales, and how static signals continue to convey relevant phenotypic information about their bearer through time.展开更多
基金Supported by the Guangzhou Key Technology R&D Program (No.2007Z2-D0011)
文摘There are varieties of embedded systems in the world. It is a big challenge to optimize the instruction sets of System on Chips (SoCs) according to different systems' working environments. The idea of programmable instruction set is an effective method to gain embedded system's re-configurability. This letter presents a logic module for Java processor to be capable of using programmable instruction set. Cost (area, power, and timing) of the module is trivial. Such module is also reusable for other embedded system solutions besides Java systems.
基金Acknowledgements During the span of this project our work was funded by the National Science Foundation （DEBCAREER 1149942 to RJS）, and the National Evolutionary Synthesis Center （NSF #EF- 4120905606） through a graduate fellowship for DMZ.
文摘Signal traits are often linked with the physiological state and behavior of their bearer. Direct examination of the causal links among these variables has provided substantial insight into the information content of signals, and into the costs and benefits of signal expression. Yet recent empirical work suggests that the social context in which signals are developed and displayed can play a major role not only in how signals are received, but also in coordinating and mediating the signaling phenotype itself. Here we review both well-established and emerging evidence for direct feedbacks among an individual＇s physiological state, be- havior, and signal elaboration. We then describe an integrative view of signaling that takes into account the bidirectional rela- tionships among components of phenotype and the social context in which signals are developed and displayed. Integrating dy- namic feedback between context and phenotype within models of the evolution and maintenance of signals may yield insights into how signals evolve, how signaling phenotypes are coordinated and maintained on ecological and evolutionary time scales, and how static signals continue to convey relevant phenotypic information about their bearer through time.
