Zhijian Pan

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Cellular automata models have historically been a major approach to studying the information-processing properties of self-replication. Here we explore the feasibility of adopting genetic programming so that, when it is given a fairly arbitrary initial cellular automata configuration, it will automatically generate a set of rules that make the given(More)
In this paper, a novel receiver architecture with inductor-noise cancellation technique is presented. The proposed receiver employs two separate down-conversion paths driven by I/Q LOs respectively, and the noise of on-chip gate inductor of common-source LNA is cancelled at the baseband output, without additional penalty on power consumption, while the(More)
Severe acute pancreatitis (SAP) is normally related to multiorgan dysfunction and local complications. Studies have found that local pancreatic renin-angiotensin system (RAS) was significantly upregulated in drug-induced SAP. The present study aimed to investigate the effects of angiotensin II receptors inhibitor valsartan on dual role of RAS in SAP in a(More)
Although automatic optimization for individual analog/RF modules has been studied for many years, design automation for analog/RF systems that contain a complicated hierarchy of mixed-signal modules is still very challenging as the lack of an efficient way to bridge between different level descriptions in the design hierarchy. In this paper, we applied(More)
In this paper we describe our recent use of genetic programming methods to automatically discover CA rule sets that produce self-replication of arbitrary given structures. Our initial results have produced larger, more rapidly replicating structures than past evolutionary models while requiring only a small fraction of the computational time needed in past(More)
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