A novel non-invasive methodology is proposed for the classification of BWR two-phase flow regimes. Neutron radiography images (frames) of coolant flow recordings (videos) are used. Following image pre-processing via d...
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ISBN:
(纸本)9789812799463
A novel non-invasive methodology is proposed for the classification of BWR two-phase flow regimes. Neutron radiography images (frames) of coolant flow recordings (videos) are used. Following image pre-processing via directly computable statistical operators, the extracted statistical characteristics are input into an ensemble of self-organizing maps. The individual decisions are averaged, resulting in the accurate on-line classification of each image into the corresponding flow regime.
The application of ant colony optimization for assembly lines design problem consisting of selecting machines for stations and determining the capacities of intermediate buffers is the main subject of this paper. The ...
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ISBN:
(纸本)9789812799463
The application of ant colony optimization for assembly lines design problem consisting of selecting machines for stations and determining the capacities of intermediate buffers is the main subject of this paper. The objective is to find the best configuration which maximizes the throughput rate of the line while having a maximum allowed budget. A hybrid ant colony optimization approach coupled with a guided local search is then applied to enhance the performances of the application. Numerical results show that the proposed algorithm performs optimally.
This paper traces the historical origins of perceptual computing and credits Tong and Bonissone [9] as being the first to originate it but under a different name. It also explains why interval type-2 fuzzy sets, and n...
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ISBN:
(纸本)9789812799463
This paper traces the historical origins of perceptual computing and credits Tong and Bonissone [9] as being the first to originate it but under a different name. It also explains why interval type-2 fuzzy sets, and not type-1 fuzzy sets, should be used in perceptual computing.
This work achieves a system for supporting the user during the web services discovery. The approach allows end-users to model an ad-hoc service request by filtering semantic specifications rather than the exploitation...
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ISBN:
(纸本)9789812799463
This work achieves a system for supporting the user during the web services discovery. The approach allows end-users to model an ad-hoc service request by filtering semantic specifications rather than the exploitation of strict syntax formats, Adaptive hypermedia techniques assist the user in the formulation of a web service request, exploiting the semantic annotation of the browsed web resources. This annotation reflects concepts or ontological terms that are relevant for the user services request formulation. The system reply is a list of semantic web services that match the input request, by specifying the input and output concepts.
This paper presents an improvement for the software implementation (MOFS) of a user adaptive fuzzy control system for autonomous navigation of mobile robots in unknown environments. This improvement consists of a prio...
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ISBN:
(纸本)9789812799463
This paper presents an improvement for the software implementation (MOFS) of a user adaptive fuzzy control system for autonomous navigation of mobile robots in unknown environments. This improvement consists of a priority areas definition where the environment is measured by a PLS laser sensor, in order to get a reduction in the number of fuzzy rules and also in the computational cost, and hence obtaining improvements in the trajectory. This system has been tested in a pioneer mobile robot and on a robotic wheelchair, odometry sensors are used to localize the robots and the goal positions. The system is able to drive the robots to their goal position avoiding static and dynamic obstacles, without using any pre-built map. This approach improves the way to measure the danger of the obstacles, the way to follow the walls of corridors and the detection of doors. These improvements reduce the zigzag effect of the previous system by making the trajectories significantly straighter and hence reducing the time to reach the goal position.
In this paper, we address a method for terrain aided navigation of aerial vehicles based on vision based sensors which estimate the state of the vehicle (position and attitude) using sequential aerial images. The task...
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ISBN:
(纸本)9789812799463
In this paper, we address a method for terrain aided navigation of aerial vehicles based on vision based sensors which estimate the state of the vehicle (position and attitude) using sequential aerial images. The task is to localize an airborne platform by real-time comparing and matching of an aerial image with a database consists of satellite imageries and digital terrain models (DTM) precisely aligned to geo-coordinates. Such robust matching algorithm is formulated as a rule-based fuzzy image matching algorithm using salient features and descriptors. The corresponding features are then used in a mapping transformation to determine the position and orientation of the aerial vehicle in standard navigation coordinate system. Several experiments were run on aerial image sequences, testifying the robustness and good performance of the implemented matching and pose estimation methods.
The paper presents a simple and robust Multicriteria Decision Aiding Technique based on the use of statistical instruments, The objective is twofold: firstly, to provide a statistical tool to interpret enquiries on la...
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ISBN:
(纸本)9789812799463
The paper presents a simple and robust Multicriteria Decision Aiding Technique based on the use of statistical instruments, The objective is twofold: firstly, to provide a statistical tool to interpret enquiries on large samples of customers or clients facing multicriteria choices of sonic products or brands. Secondly, to help decision makers in making multicriteria choices in ranking alternatives corresponding to different preference profiles.
Managing the verification of primarily design & installation projects for ship machinery systems is one of the crucial stages in shipbuilding process. Especially, the design of operator-system interfaces such as r...
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ISBN:
(纸本)9789812799463
Managing the verification of primarily design & installation projects for ship machinery systems is one of the crucial stages in shipbuilding process. Especially, the design of operator-system interfaces such as remote controls, displays, alarms, workstations, and labels makes required a high level of technical expertise and systematic control. This paper focuses on structuring Ship Design Project Approval Mechanism (SDPAM) based on Fuzzy Axiomatic Design (FAD) methodology towards system design of relevant interfaces on engine room control consol. General characteristics, accessibility, operational requirements, and ambient environment are guided as hard constraints for this complex problem. Hence, the proposed systematic requires performance assessment using fuzzy values. The outcomes of this study originally contribute the existing approval procedures of classification societies for shipbuilding projects.
The objective of the present study is to select the most suitable location for wind power station through fuzzy AHP method. The problem of selecting location for wind power station was considered as a multi-criteria d...
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ISBN:
(纸本)9789812799463
The objective of the present study is to select the most suitable location for wind power station through fuzzy AHP method. The problem of selecting location for wind power station was considered as a multi-criteria decision making problem. Essential and sub-criteria were specified and location selection was expressed as a hierarchic structure. Then, the problem was solved by using fuzzy AHP method and the best location for the power station was determined.
This paper will introduce a new method to obtain the order weights of the Ordered Weighted Averaging (OWA) operator for multi criteria decision making. We will first show the relation between using fuzzy quantifiers a...
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ISBN:
(纸本)9789812799463
This paper will introduce a new method to obtain the order weights of the Ordered Weighted Averaging (OWA) operator for multi criteria decision making. We will first show the relation between using fuzzy quantifiers and neat OWA operators and then offer a new combination of them. Fuzzy quantifiers are applied for soft computing in modeling the optimism degree of the decision maker. In addition by using neat operators, the ordering of the inputs is not needed resulting in better computation efficiency.
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