民航飞行学院飞行执照办理管理流程优化研究

通过引入项目管理中关于业务流程优化（BPI）以及集成管理等的思想和理论,提出办证流程的优化途径——分批提交材料和集中申请审核的方案。办证工作主要包括三大环节：提交材料、申请审核和执照颁发。

关于流程再造理论的缺陷分析及改进思考

本文认为流程再造理论的主要缺陷是假设前提不切合实际、流程定义过于宽泛、未能体现系统论的基本要求等,其改进方向——流程管理理论的基本内容,包括研究对象、流程定义、流程分类的基本框架、流程识别方法、流程关系确定方法等。流程管理理论的应用可为组织的高层管理者把握组织体系运行的内在逻辑提供基本的分析工具和方法,也为有机整合多重管理体系认证或监管要求提供了体系设计方法。

追溯管理系统流程化质控管理在精密器械清洗质量中的应用

研究在消毒供应中心精密器械清洗质量中使用追溯管理系统流程化质控管理的效果。方法 选择400件回收的消毒供应中心精密器械进行研究,分成两组,每组200件,研究组使用追溯管理系统流程化质控管理,对照组使用常规流程管理,比较两组的组间数据。结果 对比两组精密器械的包装、清洗、灭菌合格率得出明显研究组更高,对比两组精密器械的损坏率、功能完好性合格率、器械缺失率、标签正确率得出明显研究组更优,对比两组护理人员的管理能力评分得出明显研究组更高,对比两组手术科室满意度得出明显研究组更高,P<0.05。结论 在消毒供应中心精密器械清洗质量中使用追溯管理系统流程化质控管理的效果较为理想。

Research on Petri Net Based Modeling and Analyzing Methods for Workflow Process

Workflow management is an important aspect in CSCW at present. The elementary knowledge of workflow process is introduced, the Petri nets based process modeling methodology and basic definitions are provided, and the analysis and verification of structural and behavioral correctness of workflow process are discussed. Finally, the algorithm of verification of process definitions is proposed.

Role-Based Modeling in Enterprise Dynamic Alliance

In enterprise dynamic alliance towards agile manufacturing systems, any group needs to know which activities it must take part in, in what order those activities take place and how many other groups it must interact with. The traditional procedural models can’t meet the requirement of the modeling for an enterprise dynamic alliance. In this paper, we use role based models for an enterprise modeling. Role based models group activities into roles, which describe the desired behavior of individual enterprise. We have developed a graphical modeling tool built on Web/DCOM platform according to Petri net theory and role based methodology.

SAP-ERP系统应用研究

A公司是一家大型国有制造生产企业,由于公司组织流程的再造、业务规模的发展及市场渠道的拓展,公司的产品系列和客户数量都有较快增长,原有的信息化管理系统和模块已经不再适应公司发展需求,影响了公司快速发展。本文分析了A公司实施应用SAP-ERP系统的必要性,并对SAP-ERP系统在公司的应用效果进行了探析。SAP-ERP系统的成功上线解决了公司存在的管理问题,在管理流程的规范化、精细化、智能化等方面有了很大的提高,对公司的长远发展具有深远的战略意义。

Identification of Sewage Monitoring Data Based on Mathematical Statistics

In order to reduce the enormous pressure to environmental monitoring work brought by the false sewage monitoring data, Grubbs method, box plot, t test and other methods are used to make depth analysis to the data, providing a set of technological process to identify the sewage monitoring data, which is convenient and simple.

Product Data Management Implementation

On the basis of PDM(product data management) definition and its connotation, the factors to ensure implementation success are analyzed. The definition phase, analysis phase, design phase, build and test phase, and post production phase during PDM implementation are described. The implementation is divided into ten processes, which consist of the above different phases. The relationships between phases and processes are illustrated. Finally, a workflow is proposed to guide the implementing at a fixed price.

UPWIND SCHEME FOR IDEAL 2-D MHD FLOWS BASED ON UNSTRUCTURED MESH

An upwind scheme based on the unstructured mesh is developed to solve ideal 2-D magnetohydrodynamics （MHD） equations. The inviscid fluxes are approximated by using the modified advection upstream splitting method （AUSM） scheme, and a 5-stage explicit Runge-Kutta scheme is adopted in the time integration. To avoid the influence of the magnetic field divergence created during the simulation, the hyperbolic divergence cleaning method is introduced. The shock-capturing properties of the method are verified by solving the MHD shock-tube problem. Then the 2-D nozzle flow with the magnetic field is numerically simulated on the unstructured mesh. Computational results demonstrate the effects of the magnetic field and agree well with those from references.

An environment-friendly control method for congestion flow ahead of expressway toll stations

To alleviate the resulting increase in energy consumption and emissions and other issues caused by the traffic congestion ahead of the expressway toll station, a novel traffic flowcontrol method is put forward based on the environment-friendly conception. The technical thinking of inducing the slowly moving traffic into a batch pass is determined based on the conclusion of the research, traffic flowtheory and traffic sensing detection technology. The model of stop times is established and the parameters of the system are optimized in accordance with the principle of minimizing the fuel consumption. The optimal location selection of traffic control lights and Detector 2 for queue of different lengths at toll stations are calculated based on the model. Finally, the effect of the congestion flowcontrol system is verified via the Paramics simulation system. The result shows that the control system is capable of reducing90% of fuel consumption for vehicles going through toll stations.

LOW MACH NUMBER FLOW COMPUTATION USING PRECONDITIONING METHODS AND COMPRESSIBLE NAVIER-STOKES EQUATIONS

The preconditioning method is used to solve the low Mach number flow. The space discritisation scheme is the Roe scheme and the DES turbulence model is used. Then, the low Mach number turbulence flow around the NACA0012 airfoil is used to verify the efficiency of the proposed method. Two cases of the low Mach number flows around the multi-element airfoil and the circular cylinder are also used to test the proposed method. Numerical results show that the methods combined the preconditioning method and compressible Navier-Stokes equations are efficient to solve low Mach number flows.

Approach to evaluating exception handling of programs

To solve the problems that the exception handling code is hard to test and maintain and that it affects the robustness and reliability of software, a method for evaluating the exception handling of programs is presented. The exception propagation graph （EPG） that describes the large programs with exception handling constructs is proposed by simplifying the control flow graph and it is applied to a case to verify its validity. According to the EPG, the exception handling code that never executes is identified; the points that are the most critical to controlling exception propagation are found; and the irrational exception handling code is corrected. The constructing algorithm for the EPG is given; thus, this provides a basis for automatically constructing the EPG and automatically correcting the irrational exception handling code.

Smart City Architecture： A Technology Guide for Implementation and Design Challenges

Urban development is becoming increasingly reliant on effective use of intelligent services.In the process of providing better services to all citizens and improving the efficiency of administration processes,the concept of a smart city has been lauded as a promising solution for the coming challenge of global urbanization.However,due to the broad scope of smart cities their definition has not been standardized,thus proposed architectures are diverse.This work proposes a new architecture from the perspective of the data that underpins all the functionality of smart cities.The proposed architecture is discussed,outlining design challenges and offering insight into the development of smart cities.

The dynamic power management for embedded system with Poisson process

The mass of the embedded systems are driven by second batteries, not by wired power supply. So saving energy is one of the main design goals for embedded system. In this paper we present a new technique for modelling and solving the dynamic power management (DPM) problem for embedded systems with complex behavioural characteristics. First we model a power-managed embedded computing system as a controllable Flow Chart. Then we use the Poisson process for optimisation, and give the power management algorithm by the help of Dynamic Voltage Scaling (DVS) technology. At last we built the experi- mental model using the PXA 255 Processors. The experimental results showed that the proposed technique can achieve more than 12% power saving compared to other existing DPM techniques.

An efficient latent variable optimization approach with stochastic constraints for complex industrial process

For complex chemical processes,process optimization is usually performed on causal models from first principle models.When the mechanism models cannot be obtained easily,restricted model built by process data is used for dynamic process optimization.A new strategy is proposed for complex process optimization,in which latent variables are used as decision variables and statistics is used to describe constraints.As the constraint condition will be more complex by projecting the original variable to latent space,Hotelling T^2 statistics is introduced for constraint formulation in latent space.In this way,the constraint is simplified when the optimization is solved in low-dimensional space of latent variable.The validity of the methodology is illustrated in pH-level optimal control process and practical polypropylene grade transition process.

An Enhanced Hadoop Heartbeat Mechanism for MapReduce Task Scheduler Using Dynamic Calibration

MapReduce is a popular program- ming model for processing large-scale datasets in a distributed environment and is a funda- mental component of current cloud comput- ing and big data applications. In this paper, a heartbeat mechanism for MapReduce Task Scheduler using Dynamic Calibration （HMTS- DC） is proposed to address the unbalanced node computation capacity problem in a het- erogeneous MapReduce environment. HMTS- DC uses two mechanisms to dynamically adapt and balance tasks assigned to each com- pute node： 1） using heartbeat to dynamically estimate the capacity of the compute nodes, and 2） using data locality of replicated data blocks to reduce data transfer between nodes. With the first mechanism, based on the heart- beats received during the early state of the job, the task scheduler can dynamically estimate the computational capacity of each node. Us- ing the second mechanism, unprocessed Tasks local to each compute node are reassigned and reserved to allow nodes with greater capacities to reserve more local tasks than their weaker counterparts. Experimental results show that HMTS-DC performs better than Hadoop and Dynamic Data Placement Strategy （DDP） in a dynamic environment. Furthermore, an en- hanced HMTS-DC （EHMTS-DC） is proposed bv incorporatin historical data. In contrastto the ＂slow start＂ property of HMTS-DC, EHMTS-DC relies on the historical computation capacity of the slave machines. The experimental results show that EHMTS-DC outperforms HMTS-DC in a dynamic environment.

Reduction techniques of workflow verification and its implementation

Many workflow management systems have emerged in recent years, but few of them provide any form of support for verification. This frequently results in runtime errors that need to be corrected at prohibitive costs. In Ref.[1], a few reduction rules of verifying workflow graph are given. After analyzing the reduction rules, the overlapped reduction rule is found to be inaccurate. In this paper, the improved reduction rules are presented and the matrix-based implementing algorithm is given, so that the scope of the verification of workflow is expanded and the efficiency of the algorithm is enhanced. The method is simple and natural, and its implementation is easy too.

Business performance monitoring based on web service proxy

To provide efficient monitoring of web service-based business processes, a web service proxy （WS- proxy） is developed to monitor business activities by monitoring the enactment of services. WS-proxy is deployed as an intermediary between internal business processes and external service providers, and it provides a single point of service access with the functions of message routing and content inspection. By using an XPath engine named WS-filter, performance indicators can be generated from service messages for assessing business performance. In the experiments, the feasibility of WS-proxy is verified and it achieves good performance in the monitoring work. The latency introduced by WS-proxy is only about 15% of the overall latency while extracting performance indicators just consumes less than one third of the processing time.

追溯管理系统流程化质控管理对消毒供应中心器械清洗质量的管理效果

目的探讨追溯管理系统流程化质控管理措施对消毒供应中心器械清洗质量的管理效果。方法采用回顾性调查方法,比较追溯管理系统流程化质控管理使用前后医疗器械清洗后消毒质量、包装质量评分、洗涤质量评分、满意度和患者感染情况。结果观察组清洗后回收、包装、灭菌、洗涤合格率(99.60%、99.50%、99.40%、99.50%)均明显高于对照组(94.10%、93.90%、93.60%、94.00%)。观察组医疗器械清洗后包装治疗评分(92.14±11.28)分、洗涤质量评分(91.36±11.85)分均明显高于对照组(78.35±6.34分、77.52±6.93分)。观察组医疗器械清洗后各临床科室对服务满意度、护士对器械清洗满意度(98.00%、100.00%)均明显高于对照组(87.00%、82.50%)。使用观察组医疗器械治疗的患者感染率(0.00%)明显低于使用对照组医疗器械治疗的患者(13.00%)。结论追溯管理系统流程化质控管理措施有助于提高消毒供应中心医疗器械的清洗质量,降低感染发生率,提高满意率,值得临床推广应用。

GULLY-SPECIFIC DEBRIS FLOW HAZARD ASSESSMENT IN CHINA

Techniques of gully-specific debris flow hazard assessment develope d in four periods since the end of the 1980s have been discussed in the present paper. The improvement for the empirical assessment method is the sectionalized function transformation for the factor value, rather than the classified logical transformation. The theoretical equation of the gully-specific debris flow haz ard is expressed as the definite integral of an exponential function and its num erical solution is expressed by the Poisson Limit Equation. Current methods for assessment of debris flow hazard in China are still valid and practical. The fur ther work should be put on the study of the reliability (or uncertainty) of the techniques. For the future, we should give a high priority to the relationship b etween debris flow magnitude and its frequency of occurrence, make more developm ents of prediction model on debris flow magnitude, so as to finally reach the go al of assessing the hazard of debris flow by theoretical model, and realize both actuality assessment and prediction appraisal of debris flow.