01855nas a2200193   4500008004100000245010600041210006900147260000900216300001100225490000700236520117800243653002801421653002201449653002501471653002401496100001301520700001101533856011701544       2014                        eng d00aThe influence of government intervention on logistics enterprise's adoption of information technology0 ainfluence of government intervention on logistics enterprises ad  c2014  a8 - 170 v123 aWith emphasizing the process of innovation, this paper classifies government intervention focused on innovation adoption into three dimensionalities: information support, financial support and personnel support. It also refines technological cognition into two aspects: perceived benefits including functional benefits and social benefits, and perceived costs including financial cost and risk. This paper develops an information technology adoption model of logistic enterprise for the context of government intervention, which based on the technology adoption theories of behavior perspective and follows the corresponding basic principle that government intervention affects adoption intention indirectly via technological cognition. Then, the study takes standard TMS and investigates some logistic enterprises in Zhejiang province to conduct empirical research. With collected 113 valid data, the author tests the model by regression analysis. The results demonstrate that adoption intention is affected by government intervention through technological cognition, and reveals the path in which different kinds of government intervention affect technological cognition.10aGovernment intervention10aInnovation policy10aLogistics enterprise10aTechnology adoption1 aXiao, L.1 aMa, X.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84900452701&partnerID=40&md5=112750f1b798a63b5af1ec6502ed603a01821nas a2200217   4500008004100000245010400041210006900145260000900214300001400223490000600237520109000243653003201333653002601365653003101391653001501422100001201437700001201449700001401461700001101475856011701486       2011                        eng d00aApplications classification and scheduling on heterogeneous hpc systems using experimental research0 aApplications classification and scheduling on heterogeneous hpc   c2011  a227 - 2320 v93 aHeterogeneous high-performance computing (HPC) systems have been proposed as a power efficient alternative to traditional homogeneous systems. In heterogeneous HPC system, fast CPUs which have complex pipelines, high clock frequencies as well as high power consumption are combined with slow ones which have simple pipelines, low clock frequencies as well as low power consumption. Different types of applications should be distributed to run on different type of CPUs, in order to achieve a trade-off between energy and performance. In this paper, we use experimental research to investigate the applications classifications which categorize each application as the CPU-intensive, memory-intensive, or phase-change application. We also conduct some experiments to measure the current, power, and energy of different types of applications. Afterwards, a scheduling method for applications on heterogeneous HPC systems is proposed. The experiment shows that the scheduling method can trade off the latency and energy consumption based on the applications classification and measurement.10aApplications Classification10aHeterogeneous Systems10aHigh Performance Computing10aScheduling1 aXia, Y.1 aZhu, M.1 aKuang, L.1 aMa, X.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84855410151&partnerID=40&md5=442c0fa54ceef88eed0bc85373d116ff