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An integrative and adaptive approach to Responsible Governance is put forward for addressing climate change based on a System of Systems (SoS) Engineering framework that reflects the values of stakeholders using a participatory approach and achieves desirable systems goals such as resilience, sustainability and fairness. Currently, the world is suffering from an “Atmospheric Tragedy of the Commons”...
Many intelligent vehicles, using various different sensing technologies, have been developed. In this presentation, the design and implementation of an intelligent vehicle, Taiwan iTS-1, are addressed. Specifically, lateral sensing and control systems, including lane-keeping system, lane-change system, and lane-departure warning system, are developed. In addition, longitudinal sensing and control...
Medical Diagnosis system engineering needs to be robust and realizable decision making system. Attributes related to medical decision making is crucial aspect in medical applications. However, these attributes are a mixture of linguistic values and fuzzy intervals. Also, there are Fuzzy relations that are used in description of Symptoms. Fuzzy set and fuzzy relations are used to represent medical...
There has been an increase in the complexity of automation in manufacturing, power and energy, and logistics environments. Large numbers of actuators, sensors, and measurement units that are connected to control devices from different vendors have to work together with supervisory control and management systems, often in heterogeneous communication networks. The automation concepts and tools used...
Recently, Intelligent Video Surveillance (IVS) mainly use color image to detect people who are entering, leaving and loitering at a fixed area. When detected event is happening, Intelligent Video Surveillance can turn passive into active to notify security guard immediately, and it makes security guard reduce response time. Actually, the color image may be influenced by light and shadow change condition...
This paper presents a new robust adaptive control method for multi-robot systems, where the kinematic model of a differentially driven wheeled mobile robot is considered. Particularly, the situations involving partial loss of actuator effectiveness are addressed. Distributed controllers are derived based on dynamic surface control techniques over networked multiple robots. In addition, adaptive mechanisms...
In this paper, the study on feature matching for container images in custom areas is reported. The idea is to use computer image processing instead of manual operations in the container transportation processing system to cope with some problems in current customs operations. Our research focus on defining features for containers so that whether the containers have been opened or exchanged can be...
In this paper, we present a classification system for differentiating malignant pulmonary nodules from benign nodules in computed tomography (CT) images based on a set of fractal features derived from the fractional Brownian motion (fBm) model. In a set of 107 CT images obtained from 107 different patients with each image containing a solitary pulmonary nodule, our experimental result show that the...
A TS fuzzy neural network (TSFNN) was compared with an artificial neural network (ANN) in terms of accuracy in predicting the combined effects of temperature, pH level, sodium chloride level and sodium nitrite level on the growth rate of Leuconostoc mesenteroides. The TSFNN and ANN models were compared in terms of six statistical indices calculated by comparing their prediction results with actual...
This paper focuses on the design of a formation controller for multi-robot dynamic systems using adaptive fuzzy terminal sliding-mode techniques. The dynamic model of differential wheeled robots is considered. To achieve finite time leader-follower formation control, a fuzzy terminal sliding-mode controller is derived based on graph theory and consensus algorithm. Moreover, an adaptive law is provided...
This paper studies the H∞ control problem for a nonlinear interconnected system with nonlinear interconnections and disturbance. In the nonlinear interconnected system, each subsystem “without” nonlinear interconnections and disturbance is transformed into a T-S fuzzy system and the nonlinear interconnection corresponding to each subsystem is represented by a weighted linear term. In this study, some...
This paper proposes a method to estimate the number of the people in an indoor environment. The method is implemented on embedded digital signal processing (DSP) system for energy-saving. Using background subtraction technique to extract foreground, every row pixels of extracted foreground and an adjustable human template are weighed by the proposed weighting model and then we accumulate those weighed...
This paper studies the design of a robust guidance law for missiles in the presence of uncertainties, which may include inaccurate prediction of target maneuver. Under the design, the closed-loop guidance system is shown to be robust to the uncertainties. Additionally, the scheme presented possesses the flexibility of allowing the engineer to select a desired guidance law for the nominal system (i...
Grooming made a good impression on the people. To accompany the demand of applying right cosmetics on face, multitudes of skin detectors emerged. Though small-scale skin detectors are easy to carry due to their lightweight and easy to use they need to contact the face by the metal part of the detector while examining. As photographic enhancements of the smart phones, taking and acquiring digital images...
In statistical decision theory, the admissibility is the first issue to fulfill the feasibility of a decision rule. Without the admissibility, the decision rule is impractical for discriminations. The study decomposes first the fuzzy support vector machine (fuzzy SVM), which is a crucial innovation due to its robust capability to resist the input contaminated noise, into a regularized optimization...
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