Application of UML Business Modeling in E-commerce System

The development of E commerce is booming. Now the management of some domain is converting from tradition to E commerce, this needs the application and integration of the latest information technologies for the maximum usage and share of network information resources. As a modeling language, Unified Modeling Language (UML) is well defined, easy to specify, powerful in function and applied widely. Business model concentrates on the business around the system, not every project requires business model. However, there are many situations where business modeling adds a great deal of value. Establishing system business model is the primary task when people make use of UML to establish E commerce system model and develop software system. By E commerce system the authors expound the use case, and propose how to use correct method to establishing E commerce system business model.     

Requirement Model Based on UML 2.0 for Equipment MIS

This paper introduces the modeling of Unified Modeling Language with use case diagram and active diagram based on Rational Unified Process for Equipment Managemet Information System. It discusses the modeling mechanism and character of UML and develops the Computer Equipment management Information System Based Web using Rational Rose of UML CASE Tool. First, it is describe the authors how to analyze the structure of organize and build the model of structure organize. Second, they abstract the workflow of main operation in organize and build workflow model by active diagram. Finally, they abstract actor, use case with case diagram and finish the requirement model.     

基于J2EE的无公害农产品数字认证系统的设计与实现

为实现无公害农产品认证工作的数字化、标准化利用UML建模,设计实现了基于J2EE平台轻量级框架Spring+Struts+Hibernate的农产品数字认证系统。该系统能够提供快捷方便的农产品申报、环境检测和农产品数字认证,并且能对申报信息、认证信息和环境检测信息进行电子化存储,实现对申报、认证等信息的高效管理。     

Application of DSP/BIOS to Video-tracking Process

This thesis mainly introduces a certain kind of real kernel based on TMS320 DSP- DSP/BIOS. There is an expatiation of the DSP/BIOS startup sequence and the design of a video - tracking system based on the characteristic of DSP/BIOS structure. The system is designed and analyzed by the UML technique. By means of scheduling and communicating between one task and another, managing and sending message and managing the muhithread by time-slicer in the process of video-tracking, the video-tracking system can be achieved reasonably. It is proved that the system work stably , the design and the resource are assigned aright and reasonably when the system satisfy the condition of real-time in practice.     

基于Agent技术的玉米生产管理协同决策系统研究

针对传统农业信息系统在解决分布式网络环境下的复杂决策问题的不足,利用多Agent技术智能性、交互性、协作性的优点,应用基于UML的面向Agent的系统分析方法,提出了基于Agent技术的作物生产管理协同决策系统的设计思想和实现方法,用于实现分布式环境下的作物信息共享、软件共享、协同工作和群决策支持;本文以玉米为实验对象,结合玉米生长模拟模型和玉米知识模型,实现预测功能和决策功能的有机耦合与集成。通过开发实践分析,多Agent作物协同决策模型及系统为解决农业系统复杂问题的决策提供了新的技术手段和方法,提高了作物生长预测和栽培决策的精确性。     

Solving Method and Application of System Parameters of the Nonlinear System

Using the NNPLS (Neural Networks and Partial Least Squares) modeling method, the nonlinear I/O system is analyzed and the characteristic of its parameters are determined.The situation of the system is forecasted to accomplish the optimum situation in the process of control and monitor.     

Enterprise Information Engineering Model and Its Integrated Support Environment

By analyzing the process of enterprise information engineering construction and intra relationship among information system requirement, business process modeling, application system constructing and project management, one of 4 meta model composed of requirement engineering, process engineering, application system engineering and support engineering is proposed for enterprise information engineering. The developments and applications of the business processes and its application systems are integrated into the same development space and application space. Basing on this, a prototype system composed of requirement modeling environment, business process modeling environment, application system modeling environment, and support engineering environment has been designed and built, which is used for supporting enterprise information engineering constructing. It is valued for the enterprise information engineering construction in our country.     

Model suitability to assess regional potato yield patterns in northern Ecuador

A wide range of scenario studies aiming at rural development require regional patterns of crop yield. This study aims to evaluate three different modeling approaches for their suitability to assess regional potato yield patterns. The three model approaches include (1) an empirical model; (2) a process-based crop growth simulation model; and (3) a metamodel derived from the crop growth simulation model. Scenario studies have specific requirements for these modeling approaches including (1) their ease to use, (2) a realistic sensitivity, (3) the relevance in terms of generating the desired system property, and (4) their credibility in producing recognizable plausible outputs for stakeholders. The modeling approaches were applied to assess patterns of potato yields in a major production area in northern Ecuador. All three modeling approaches require significant expert knowledge for their development and calibration. However, after this initial phase, the empirical model and the metamodel are very easy to use and transparent. However, their application domain is limited to the case study area. The application of the crop growth simulation model remains complex and the model functions as a black box. The results show that regional patterns of potato yield are determined by a limited number of variables. The sensitivity of all three modeling approaches to climatic factors and water holding capacity suggest that the potato production in the area is constrained by water availability and temperature. All models generate similar yield patterns. However, the empirical model derives quality adjusted potato yields that correlate highly to the observed yields, whereas the crop growth simulation model and the derived metamodel produce potential, water and nutrient limited yields. Scenario studies may require yield patterns at different levels of resolution. All results could be aggregated to different resolutions but in general the patterns remained very similar. All three modeling approaches were capable to reproduce the observed regional pattern of potato yield and are therefore considered to be credible. In analyzing the effect of spatial aggregation on the performance of the modeling approaches, the results show that aggregation improves the overall correspondence between model output and interpolated, observed yields. It can be concluded that the various modeling approaches have their unique value. They are therefore complementary to each other for the interpretation of the observed patterns. The patterns themselves do not vary much and as such the most convenient modeling approach can be selected (based on available expertise and data).     

Load Prediction with Neural Network Method and Operation Optimization of Ice Storage Air Conditioning System

This paper presents some common control strategy of ice storage air conditioning system. It is suggested that the optimization on ice storage air conditioning system should be based on accurate load prediction and the artificial neural network (ANN) modeling for load prediction was presented.     

Reserach on the Die Forging CAD System of Long Shaft Type Forgings

This paper,by using AutoCAD Advanced Modeling Extension(AME),solvesthe difficulty of three-dimensional solid object modeling of forging die CAD on a porsonal computer,sets up the die forging CAD system(DFCAD system)of long shaft type forgings. It is convenient todesign die forging processes and forging dies , and can get 3-D and 2-D forging die drawings.     

Complex Correlation System Control Based on Human Simulation Intelligence

Because there are lots of difficulties in mathematic modeling for uncertainty complex object, so it is not suitable to utilize traditional methods in some aspect such as identification, analysis, synthetical design and implementation. Especially, for the idea of system modeling, it is very different in comparison with traditional mathematic modeling, therefore, it is very difficult to study control problem for uncertainty system in technology and theory. On the basis of summarizing characteristics of uncertainty complex object, present to establish generalized control model, and apply intelligent control strategy to implement control effectively. In addition, authors also studied control algorithm and system structure. Engineering practice shows that it is effective and successful to establish generalized control model, and select intelligent control strategy for uncertainty control system.     

Developing Method Based on Object-oriented Modeling Techniques for Management Information System

A developing method is given which based on object-oriented modeling techniques for management information systems.The modeling techniques,especially,from CDM to PDM conversion,make it possible that the method can be used for developing such management information systems which based on relational database.The result shows that it can raise the efficency of the system developing,improve the system tability,enhance the system maintenability.     

Overview on Control Strategies of High Voltage Direct Current Transmission System

Recent research progresses are summarized about the High Voltage Direct Current(HVDC) transmission system in control methods and modulation of HVDC transmission system,coordinated control of multi-infeed HVDC transmission system and AC-DC system.Some outsanding problems in current research are pointed out on such sides as system modeling,studying object,aim of coordinated control and engineering application.Based on the requirements of real systems and some latest research achievements on control technology and measure methods,some new research thoughts about HVDC transmission system for some problems of assessment and optimal combination of current control strategies,application of intelligent control methods and enhancement of coordinated control are proposed.     

Modeling Method and Application of Virtual Environment

The virtual environment is the important and indispensable part of virtual reality The method of modeling virtual environment is studied and discussed, based on the research of the basic theory and key technology of virtual reality. Taking the indoor virtual environment modeling as an example, the whole design object, design idea, design rules and the key technologies of indoor virtual environment modeling is dissertate systematically. The modeling objects are reusable and interactive owing to the adaptation of object-oriented and agent-oriented techonlogy. The actual scene is classified according to structure and layer so as to the scene was managed effectively and displayed more quickly. So the system had the properties of immersion, interaction and imagination at some extent.     

Analysis of the Power System''s Voltage Stabilization by Modeling and Simulink

The simulink of the power system can help people to analyze the actual power system's various state.As an important instrument,the Matlab software gains the recognition because of its all-sided and professional features.But when it is used in the field of dynamic process of the power system,there exist some disadvantages such as the difficulty of the modeling.The state-space module can be used to set up the three rank compact model of the generator and the electrical machine.It makes the modeling more convenient and more easily jointed to the system's primary parameter such as voltage and frequency.The typical model of the power system is built including the generator,electrical wire,load and SVC by using the function of the Simulink.In order to make the model's physical conception,some necessary predigestion is made to the typical model.At last,some conclusions about the voltage stabilization are gained by using the simulink of the system's malfunction,testifing the correctness and feasibility of this compact modeling.     

双季稻种植下洞庭湖区不同类型土壤连续施用控释氮肥的效应研究

在洞庭湖区3种主要类型土壤上进行连续4年的微区试验,研究水稻控释氮肥在双季水稻种植体系下的连续施用效应。试验设不施肥（CK）、尿素、等N量控释氮肥及70%N量控释氮肥4个处理。结果表明,等N量控释氮肥处理产量最高,在河沙泥、紫潮泥和红黄泥上平均比尿素处理分别增产10.3%、8.0%和2.4%,70%N量控释氮肥处理分别增产6.1%、2.6%和-0.8%;在3种土壤上早、晚稻及全年平均吸N量均表现为等N量控释氮肥>70%N量控释氮肥>尿素>对照。等N量控释氮肥处理在上述3种土壤上的肥料利用率分别为60.7%、59.6%和56.3%,比尿素处理分别高23.8%、19.4%和16.3%,早稻随施用年份的延长其利用率呈增加趋势,且高于70%N量控释氮肥处理,晚稻连施3年时利用率由上升转呈下降。连续施用控释氮肥可缓解土壤氮素肥力和有机碳含量的下降,特别是在河沙泥稻田中。施用控释氮肥有利于水稻增产、氮肥利用率的提高及土壤培肥。     

MPPT control of photovoltaic grid connected system

The high cost of grid connected photovoltaic (PV) system is an important reason that hinders its market application. The control cost can be partly cut down by using sensorless Maximum Power Point Tracking (MPPT). However, the sensorless MPPT control proposed by previous literatures has drawbacks of poor estimation accuracy, bad real time performance, and poor dynamic responses, which has great impact on the MPPT and the output performance of the whole system. Aiming at these problems, an Adaptive Sliding Mode Observer (ASMO) for estimation of photovoltaic array voltage is proposed. The external disturbance and modeling errors are suppressed while the real time performance and the estimation accuracy are improved greatly by the proposed method. The favorable performance of the output performance and MPPT performance of the PV system based on the ASMO are validated by simulation and experimental results.     

Application of fuzzy Neural Networks to Evaluation of Transversal Economic Benefits

A new method for evaluation of transversal economic benefits is researched by fuzzy neural networks, BP algorithm is used to learn the connection weights of the fuzzy neural networks and partitions of fuzzy subsets. It has been shown by the modeling and evaluating results about the economic benefit index system of ten enterprises that the method has reinforcement learning properties and universalized capabilities. with respect to modeling and evaluating of nonlinear systems which have some uncertainties, the method is available.     

新型肉干加工工艺及质量控制方法研究

针对传统工艺生产的肉干存在质地坚硬、咀嚼困难和干燥时间过长等问题,在借鉴西式肉制品加工理论和工艺的基础上,提出了“先成型后切块”的肉干加工新工艺及其质量控制方法,研究了“肉干坯微波成型”和“肉干分段—平衡脱水”等新技术,系统探讨了影响新型肉干品质的关键因素。研究表明:①在温度4℃下对原料肉腌制18h,并在转速25r/min下滚揉120min,可以显著改善肉干的成型性和质地;②采用2450MHz微波在800W功率下,对原料处理2～4min,肉干坯定型和熟化效果较好;③与传统脱水工艺相比较,采用90℃→70℃→55℃分段—平衡脱水干燥工艺,不仅使肉干的干燥脱水时间缩短了18%,且其产品质地均匀;④先成型后切块工艺加工的肉干易于咀嚼。新工艺加工的肉干,更能适应现代市场对于肉干制品质地、口感和营养等方面的需求。