Case-Based Reasoning is an important method for the reuse of engineering knowledge. A study has been carried out by the authors on the key technologies that are needed in a Case-Based knowledge system to support engin...
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ISBN:
(数字)9783642104305
ISBN:
(纸本)9783642104299
Case-Based Reasoning is an important method for the reuse of engineering knowledge. A study has been carried out by the authors on the key technologies that are needed in a Case-Based knowledge system to support engineering design. This paper reports a uniform dynamic representation mechanism based on granularity to represent the engineering knowledge, in the form of cases and rules, for the design of fixtures on machine tools. Based on the Nearest-Neighbour algorithm, an algorithm of case retrieval is brought forth to support the dynamic adaptation of index words and to optimize case retrieval by some design rules. It has been identified that case adaptation is one of the most difficult issues of Case-Based Reasoning for fixture design. Design rules have been used to improve the automation and quality of case adaptation. According to the characteristics of fixtures in the CAD data, several mining patterns can be provided, including case cluster analysis, design rules mining, CAD data criterion mining and user application pattern mining. Then an application platform for mechanical CAD data mining based on cases is built, and a feasible way has come up with to settle the problem of design knowledge acquisition. Based on the developed key technologies, a Case-Based knowledge system for fixture design has been developed and has been tested and applied in an aviation corporation.
In order to minimize disturbance impact in complex organizations, a distributed scheduling repair method based on agent modelling approach and new cooperative repair behaviours between modelled actors are proposed. Re...
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ISBN:
(纸本)9783642124327
In order to minimize disturbance impact in complex organizations, a distributed scheduling repair method based on agent modelling approach and new cooperative repair behaviours between modelled actors are proposed. Repair operations and repair strategies are redefined, and illustrated on a case study in organization of building site, where the proposed multiagent model is isomorphic to the actual organization. The resulting multiagent system operates the repair behaviours in order to determine the solution which minimizes the disturbance impact on the system using JADE platform.
In progressive dies, two or more stations are used to produce sheet metal components. Design and fabrication of progressive dies are rather difficult tasks. In this paper, an algorithm which can automatically design t...
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ISBN:
(数字)9783642104305
ISBN:
(纸本)9783642104299
In progressive dies, two or more stations are used to produce sheet metal components. Design and fabrication of progressive dies are rather difficult tasks. In this paper, an algorithm which can automatically design the bending sequence for progressive dies is described. A computer program is developed based on the algorithms and it composed of several modules, namely: feature recognition, flat pattern layout, strip layout and die design. In the feature recognition module, all of the features of a 3-D component can be recognized automatically and checked against some manufacturability rules. In the second module, the flat pattern layout of the component is created automatically. In the strip layout module, the bending sequence is determined using fuzzy set theory based on industrial experience. The bending forces are determined in the fourth module and a 2-D layout of the die is designed. The system is developed in Visual Basic on a Solid Works platform.
The current business environment is increasingly dependent on strategic information and knowledge in order to survive against competition and sustain profitability. The aerospace defence sector is facing the same chal...
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ISBN:
(数字)9783642104305
ISBN:
(纸本)9783642104299
The current business environment is increasingly dependent on strategic information and knowledge in order to survive against competition and sustain profitability. The aerospace defence sector is facing the same challenge, because a good level of knowledge is required in making affordability decision in defence contracts, which could last over 30 to 50 years. In this paper, a system which assesses the level of information that is available for both customer and solution provider to decide whether a contract would be affordable across the project life cycle, is presented. It involves a method of score allocation of affordability factors based on affordability elements across the life cycle. The output helps decision makers in negotiating contracts before project starts. It informs contract deliverable by emphasising areas for data collection and indicates the risk involved in a project based on information availability. Further, the paper identifies limitations as well as areas for future improvement.
Virtual Organizations should evolve along time in order to face with unforeseen changing situations. This evolution implies the adaptation of norms, so agents must be able to consider dynamic norms which guide agent b...
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ISBN:
(纸本)9783642124327
Virtual Organizations should evolve along time in order to face with unforeseen changing situations. This evolution implies the adaptation of norms, so agents must be able to consider dynamic norms which guide agent behaviours in their decision making processes. With this aim, this paper proposes the employment of argumentation protocols and schemes in order to allow agents to reach agreements inside dynamic organizations.
The wireless sensor networks include a lot of sensor nodes with a limited energy distributed in a limited geography area. One of the important issues in these networks is the increased longevity of a network. In a wir...
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ISBN:
(纸本)9783642106866
The wireless sensor networks include a lot of sensor nodes with a limited energy distributed in a limited geography area. One of the important issues in these networks is the increased longevity of a network. In a wireless sensor network a long connecting distance between sensors and sink uses a lot of energy and decreases the longevity of network. Since clustering can decrease requirement of using energy for wireless sensor networks, we are following an intelligent technique for forming and managing clusters in this article. With clustering wireless sensor network and using a genetic algorithms we can decrease the connecting distance a little, so the longevity of network will be more. The results of simulation by the help of MATLAB show that the suggested algorithm can find a suitable solution very fast.
Humans and animals react in recognizable ways to surprising events. However, there is a lack of models that generate surprise intensity and its effects on behaviour in a realistic way, leading to impoverished and non-...
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ISBN:
(纸本)9783642123832
Humans and animals react in recognizable ways to surprising events. However, there is a lack of models that generate surprise intensity and its effects on behaviour in a realistic way, leading to impoverished and non-humanlike behaviour of agents in situations where humans would react surprised. To fill in this gap in agent-based modelling, a computational model is developed based on psychological empirical findings and theories from literature with which agents can display surprised behaviour. We tested this model in a simulated historical case from the domain of air combat and evaluated three behavioural properties against these simulated runs. The conclusion is that the model captures aspects of surprised behaviour and thus can help make agents behave more realistic in surprising situations.
In this paper, we introduce a new heuristic search algorithm based on mean values for anytime planning, called MHSP. It consists in associating the principles of UCT, a bandit-based algorithm which gave very good resu...
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ISBN:
(纸本)9783642123832
In this paper, we introduce a new heuristic search algorithm based on mean values for anytime planning, called MHSP. It consists in associating the principles of UCT, a bandit-based algorithm which gave very good results in computer games, and especially in Computer Go, with heuristic search in order to obtain an anytime planner that provides partial plans before finding a solution plan, and furthermore finding an optimal plan. The algorithm is evaluated in different classical planning problems and compared to some major planning algorithms. Finally, our results highlight the capacity of MHSP to return partial plans which tend to an optimal plan over the time.
As markets, technologies and competitive forces continue to change at ever increasing rates, organisations are becoming more pressing for reform. To compete and survive in these global markets requires a logistic orie...
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ISBN:
(数字)9783642104305
ISBN:
(纸本)9783642104299
As markets, technologies and competitive forces continue to change at ever increasing rates, organisations are becoming more pressing for reform. To compete and survive in these global markets requires a logistic oriented organisation, specifically the need to move goods greater distances quickly and efficiently. Such a radical change entails a regrouping within the organisation so that the key tasks become the management of cross-functional work flows. In this paper, the importance of information sharing has been reviewed and six types of logistic networks have been illustrated. Emphasis has been placed on designing the network on operational considerations such as capacities, geographical locations and core competences as well as market factors and demand. A mixed integer programming method has been used to minimize the logistic network cost and numerical experiments are performed using a brand-and-bound solver from LINDO. The analysis results demonstrate that the proposed mixed integer programming can provide certain combinations of routing rules and locations which result in low logistic costs while maintaining high levels of customer service.
User profiles are vastly utilized to alleviate the increasing problem of so called information overload. Many important issues of Semantic Web like trust, privacy, matching and ranking have a certain degree of vaguene...
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ISBN:
(纸本)9783642106866
User profiles are vastly utilized to alleviate the increasing problem of so called information overload. Many important issues of Semantic Web like trust, privacy, matching and ranking have a certain degree of vagueness and involve truth degrees that one requires to present and reason about. In this ground, profiles tend to be useful and allow incorporation of these uncertain attributes in the form of weights into profiled materials. In order to interpret and reason about these uncertain values, we have constructed a fuzzy confidence model, through which these values could be collectively analyzed and interpreted as collective experience confidence of users. We analyze this model within a scenario, comprising weighted user profiles of a semantically enabled cultural heritage knowledge platform. Initial simulation results have shown the benefits of our mechanism for alleviating problem of sparse and empty profiles.
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