A Study on Improving C Bank IT Service Event Management Process

近年来，随着信息化建设规模的不断扩大，国内银行业在IT服务管理领域面临着前所未有的挑战，纷纷加大对IT服务管理流程的建设和优化力度，以保障自身IT系统的长期、平稳运行。作为四大国有银行之一，C银行一贯致力于持续改进其IT服务管理流程。论文以C银行IT服务事件管理流程为研究对象，深入研究提高IT服务事件管理流程效率的思路和方法。论文以ITIL理论为基础，采用七步改进流程作为研究框架，逐步深入地展开研究。首先确定将“提高IT服务事件管理流程效率”作为流程优化的目标，然后围绕这一目标来制定相应的量化指标并获取数据；接下来对数据进行分析，找出了IT服务事件管理流程存在的问题，以及问题的根源，最后有针对...In recent years, with the rapid expansion of the informatization construction, domestic banks begin to face unprecedented challenges in IT Service Management field and speed up the construction and improvement on their IT Service Management Processes to ensure IT operation stably. As one of the four top state-owned banks, C Bank is committed to continuous improvement on IT Service Management Proce...学位：工商管理硕士院系专业：管理学院工商管理教育中心（MBA中心）_工商管理硕士(MBA)学号：1792009115066

An evaluation of two semi-analytical ocean color algorithms for waters of the South China Sea

基于42组不同年份不同季节获得的遥感反射率、水体各组分吸收系数的实测数据,对QAA(QuASI-AnAlyTICAl AlgOrITHM)和gSM(gArVEr-SIEgEl-MArITOrEnA)算法在寡营养的南海和富营养的福建沿岸两种不同类型水体的吸收系数反演进行了检验。以水样测量值为参考,两种算法在本研究水体中的反演成效与他人在其它水域的研究结果相当。QAA算法在南海的反演成效高于福建沿岸水体。对于443nM的总吸收系数A(443),南海的对数均方根误差rMSE为0.044,平均相对误差ε为7.9%,对数平均偏差δ为0;福建沿岸水体rMSE=0.190,ε=30.6%,δ=-0.167。gSM算法在两类水体的反演成效类似,A(443)之rMSE和ε,南海分别为0.156和27.7%,福建沿岸分别为0.146和32.1%;但从A(443)的δ值看,其在南海反演值低于实测值(δ=-0.142),在福建沿岸则略呈高于实测值(δ=0.016)。两种算法中的部分经验参数与实测值之间的差异是产生反演误差的主要原因,为了提高反演精度,对算法中经验参数的更进一步区域化调整可能是必要的。With 42 in situ measurements of remote sensing reflectance and component absorption coefficients taken in the South China Sea and coastal waters off Fujian, China during different seasons, the authors evaluate the performance of the Quasi-Analytical Algorithm (QAA) and the Garver-Siegel-Maritorena (GSM) algorithm for water absorption coefficients.It is found that the retrieval performances of the two algorithms are similar to those of the algorithms by other researchers conducted in other regions.In this study , QAA performs better in the South China Sea than in the waters off coastal Fujian.For the total absorption coefficient at 443 nm a(443), the rootmean-square error (RMSE) is 0.046 in the South China Sea, with an averaged percentage error (ε) of 7.9% , and averaged error in log scale (δ) close to 0.For the waters off coastal Fujian, RMSE, ε and δ are 0.194, 30.6%, and -0.167, respectively.The performance of the GSM is similar for the two waters.For a(443), RMSE and ε are 0.161 and 27.7% in the South China Sea and 0.149 and 32.1% in the waters off coastal Fujian , respectively; their δ values, however, are negative (-0.142; indicating underestimation) in the South China Sea and positive (0.016; indicating slight overestimation)in the waters off coastal Fujian.Further analysis indicates that the differences between the empirical parameters employed in the algorithms and actual values of the studied waters are the main reasons causing the errors in remote sensing retrievals, therefore, it is necessary to regionally refine those parameters in order to improve the algorithm performance.863计划项目(2006AA09A302;2008AA09Z108);国家自然科学基金项目(40521003