决策型海洋渔业应急管理系统的研究和设计——以青岛为例

青岛市海洋渔业应急管理部门的现有系统为执行型系统,偏向指挥调度功能,存在决策能力低,缺乏公众沟通功能及功能重叠等问题。为提高政府的工作能力,适应服务型政府建设和行政体制改革的要求,应建设以应急预案为核心的决策型系统。考虑到系统的处理能力、工作范围及所处理事件的性质,强调了重点突出、易集成性和较强的安全性三点设计原则,进而从体系架构、业务流程以及组成和工作流程方面对系统进行了基本的设计。最后重点指出了系统建设在改革措施推行、现有系统整合和建设人员素质上应具备的条件和面临的困难。

决策型海洋渔业应急管理系统的研究和设计——以青岛为例

青岛市海洋渔业应急管理部门的现有系统为执行型系统,偏向指挥调度功能,存在决策能力低,缺乏公众沟通功能及功能重叠等问题。为提高政府的工作能力,适应服务型政府建设和行政体制改革的要求,应建设以应急预案为核心的决策型系统。考虑到系统的处理能力、工作范围及所处理事件的性质,强调了重点突出、易集成性和较强的安全性三点设计原则,进而从体系架构、业务流程以及组成和工作流程方面对系统进行了基本的设计。最后重点指出了系统建设在改革措施推行、现有系统整合和建设人员素质上应具备的条件和面临的困难。

决策型海洋渔业应急管理系统的研究和设计——以青岛为例

青岛市海洋渔业应急管理部门的现有系统为执行型系统，偏向指挥调度功能，存在决策能力低，缺乏公众沟通功能及功能重叠等问题。为提高政府的工作能力，适应服务型政府建设和行政体制改革的要求，应建设以应急预案为核心的决策型系统。考虑到系统的处理能力、工作范围及所处理事件的性质，强调了重点突出、易集成性和较强的安全性三点设计原则，进而从体系架构、业务流程以及组成和工作流程方面对系统进行了基本的设计。最后重点指出了系统建设在改革措施推行、现有系统整合和建设人员素质上应具备的条件和面临的困难。

医院决策支持系统从传统型到移动型的建设与实践

本文以我院决策支持系统(Decision Support System,DSS)的建设历程为例,首先介绍DSS架构、功能设计等,然后介绍传统型DSS在使用过程中出现的不足,最后介绍移动型DSS的建设方案以及应用优势和管理应用中的实践成效。

地下矿山全封闭打运专家系统设计

主要介绍了地下矿山全封闭打运专家系统的实现逻辑,该专家系统实现了打运系统可行方案的优化选择,初步实现打运系统的设计自动化、打运系统预测、管理、绩效考核的数字化,为领导决策提供智力支持。

创建经营决策型企业财务分析系统

财务管理贯穿于企业生产经营活动的整个过程,目标明确,方法多样。必须把财务管理提高到整个企业管理的核心,必须创建经营决策型的财务分析系统。

DSS Scheme for Operation Optimization Problem on Power Plants

Based on the target analysis of the operation optimization for power plants, a novel system scheme called operation optimization decision support system (OODSS) is brought forward. According to the structure and design thinking of decision support system (DSS), the overall structure of the OODSS is studied, and the scheme of the sub systems in the OODSS such as the user interface system, the problem processing system, the database system, the model base system, the expert system (ES) and the data mining sy...

Maintenance decision-making method for manufacturing system based on cost and arithmetic reduction of intensity model

A cost-based selective maintenance decision-making method was presented.The purpose of this method was to find an optimal choice of maintenance actions to be performed on a selected group of machines for manufacturing systems.The arithmetic reduction of intensity model was introduced to describe the influence on machine failure intensity by different maintenance actions (preventive maintenance,minimal repair and overhaul).In the meantime,a resolution algorithm combining the greedy heuristic rules with genetic algorithm was provided.Finally,a case study of the maintenance decision-making problem of automobile workshop was given.Furthermore,the case study demonstrates the practicability of this method.

Basic Structures and Political Implications of a Sustainable Welfare Model

A synopsis of political welfare concepts, which are currently discussed under labels such as ＂green growth＂, ＂zero growth＂ and ＂degrowth＂, has identified fundamental shortcomings concerning the informational bases of the complex links between ecological, social and economic systems, which were taken into account in the creation of the concept. In the development of a concept for political action, a rationally acting environmental policy cannot neglect reflecting on which economic, ecological and social contexts have to be taken into account and on which normative statements its decisions should be grounded. The proposed sustainable welfare model consists of a positive impact and a normative decision model. The positive model provides a description of the ＂world＂ with which the effects of the various options for action on the environmental, social and the economic systems can be assessed. The normative model is a tool for selecting and assessing the options for action in pursuing the desired goal of sustainable welfare development. Principally the key environmental goals are prearranged to socio-economic goals. The model at hand provides the reference points for the development of a sustainable welfare concept, which can be used as a political action plan in the context of environmental policy.

Study and realization of the computer support system on feasible reasoning and scientific decision-making of projects based on WEB

With the development of information technology, DSS can be used to resolve the complex process of the feasible reasoning and scientific decision-making of projects. This paper offers 7 exploiting principles for the computer support system on feasible reasoning and scientific decision-making of projects, that is, the principles of standardization, procedure, specification, agility, currency, practicability and development. On the basis of analysis on systematic procedure, the computer support system on feasible reasoning and scientific decision-making of projects is formed based on WEB, and its general structure, system function and the methods to be realized are introduced. The data composition of this system is analyzed following the principles of integrality, development, perspicuity and consistency. Also, the model-base management system is designed for the management of model storage and management of model operation.

Improving Audit Judgment and Decision Making With Dual Systems Cognitive Model

This article proposes a dual system cognitive reasoning model to enhance audit judgment and decision making. The model is built on the fact that the total cognitive capacity of an individual comprises two systems of reasoning--System 1 that is unconscious, associative, implicit, more emotional and less controlled, and so forth; and System 2 that is conscious, explicit, deliberate and rule-governed, and so forth. The benefits of the proposed model that integrates these two complementary and compensatory systems are first illustrated with an example in audit planning, and second explained how the model could overcome the deficiencies of heuristics specifically in an audit context.

Multi-criteria Decision of Type and Building Material for Simple House Construction

Facing the innovation technology in building construction, the designer has the option in selecting the type of system construction and building materials. There is a big question for the designer and owner on how to evaluate the quality material to meet the technical requirements as building construction reliability. By demand to provide a low cost house, there is need for improving structure model and material construction for residents. When material cost takes 60%-70% of total construction cost, it is important to select the appropriate building material. Currently the innovation of material building for main frame and wall component has present for residential projects in Indonesia. Attempt to replace the traditional material such as brick or pozzolan lime concrete block is developed a new material include utilization of coal combustion waste for concrete block, lightweight concrete, or prefab panel wall. This paper presents the research result to develop a tool support for material and system construction selecting that facilitates the selection an optimal material for a simple house construction. A multi-criteria decision method is used based on performance criteria such as economy, reliability, comfort and eco-friend.

Electric Tilt ＆ Telescopic Column Driven by EPS Motor

In order to improve driver convenience, electronic tilt ＆ tele column is applied to a full sized car. To operate electronic tilt ＆ tele, it needs two motors and one electronic controller. Because of high cost component parts, it is difficult to apply to a midsize car. Meanwhile, to cope with regulations of fuel efficiency and emission, motor driven power steering system is applied to a full sized car from a small car. But MDPS （Markov decision processes） also consist of high cost component parts （motor and electronic controller）. This paper proposed the MDPS motor-driven electronic tilt ＆ tele column system which has single motor and an integrated electronic controller and introduced the detailed design study and evaluation results.

DiagData： A Tool for Generation of Fuzzy Inference System

In this paper, it described the architecture of a tool called DiagData. This tool aims to use a large amount of data and information in the field of plant disease diagnostic to generate a disease predictive system. In this approach, techniques of data mining are used to extract knowledge from existing data. The data is extracted in the form of rules that are used in the development of a predictive intelligent system. Currently, the specification of these rules is built by an expert or data mining. When data mining on a large database is used, the number of generated rules is very complex too. The main goal of this work is minimize the rule generation time. The proposed tool, called DiagData, extracts knowledge automatically or semi-automatically from a database and uses it to build an intelligent system for disease prediction. In this work, the decision tree learning algorithm was used to generate the rules. A toolbox called Fuzzygen was used to generate a prediction system from rules generated by decision tree algorithm. The language used to implement this software was Java. The DiagData has been used in diseases prediction and diagnosis systems and in the validation of economic and environmental indicators in agricultural production systems. The validation process involved measurements and comparisons of the time spent to enter the rules by an expert with the time used to insert the same rules with the proposed tool. Thus, the tool was successfully validated, providing a reduction of time.

Initial gut microbiota structure affects sensitivity to DSS-induced colitis in a mouse model

The dextran sulfate sodium (DSS)-induced colitis model is a widely applied mouse model, but controversial results have been obtained from experiments using the same mouse strain under the same conditions. Because the gut microbiota play an important role in DSS-induced colitis, it is essential to evaluate the influence of the initial gut microbiota in this model. Here, we identified significant variations in the initial gut microbiota of different batches of mice and found that the initial intestinal microbiota had a profound influence on DSS-induced colitis. We performed three independent trials using the same C57BL/6J mouse model with DSS treatment and used high-throughput 16S rRNA gene sequencing to analyze the gut microbiota. We found that the structure and composition of the gut microbiota in mice with severe colitis, as compared with mice with milder colon damage, had unique features, such as an increase in Akkermansia bacteria and a decrease in Barnesiella spp. Moreover, these varied gut bacteria in the different trials also showed different responses to DSS treatment. Our work suggests that, in studies using mouse models, the gut microbiota must be considered when examining mechanisms of diseases, to ensure that comparable results are obtained.

Research on Decision Model for Toll Station

The establishment of the toll station on the highway has very great influence on the operation and management of the highway. It should both be easy to manage, and make the average time that vehicle pass the whole charge area minimum, so a rational design of the toll station number in charge area is needed. So a queuing theory mode has been set up in this paper. Through analysis, we found that in the specific road section, the variable that we can only control is the number of the toll station. An appropriate toll station number may be found, and a calculating case is presented to confirm if the number is bigger than 10, the solution is extremely appropriate. Finally we use computer simulation to simulate the process of the vehicles arrive, the toll station charge and then the vehicles leave. We also carried on a test to check the model, obtained a satisfactory result.

Coordination Model Research Based on Command Decision Joint Intension

Command Decision Simulation （CDS） is not only an important and difficult issue in the field of simulation, but also a technique issue to be tackled in the course of collective Modeling and Simulation in Joint Operations Experiment Center. CDS can give support to all kinds of simulation. Using computer to realize the Blue side＇s command deci- sion automatic execution in the operation training simulation system can improve training effect. Using computer to realize the lower level command unit＇s automatic command deci- sion can help to reduce the number of controllers and release them from heavy work. It can also enlarge simulation scale and increase the freedom of the simulation entity especially the command entity, thus enhance the authenticity and credibility of the simulation. Ac- cording to the command decision structure and the Joint Intention Theory, the thesis puts forward the method of making use of Coordination Matrix （CM） to realizing cooperation among the entities in CDS and constructs the calculation sketch of Task Execution, Task Monitoring and Task Replanning. At the same time, the thesis brings forward the CDS structure vision based on Partial Global Planning（PGP）. As CM is an indispensable part of combat simulation, the theory and the method of CDS will become an important part for the theory of Combat Simulation.