One of the main challenges of any related paradigms in systems engineering is being able to handle complex systems under unforeseen uncertainties. A system may be called complex if its dimension (order) is too high an...
One of the main challenges of any related paradigms in systems engineering is being able to handle complex systems under unforeseen uncertainties. A system may be called complex if its dimension (order) is too high and its model (if available) is nonlinear, interconnected, and information on the system is so uncertain that classical techniques cannot easily handle the problem. A system of systems (SoS) is a "super system," or an integration of complex systems coordinated together in such a way as to achieve a wider set of goals with possible higher significance such as global warming, Mars missions, air traffic control, global earth observation system, etc. computational Intelligence or Soft Computing, a consortium of fuzzy logic (approximate reasoning), neuro-computing (learning), genetic algorithms and genetic programming (optimization), has proven to be a powerful set of tools for adding autonomy and semi-autonomy to many complex systems. For such systems the size of soft computing control architecture will be nearly infinite. In this presentation, paradigms using soft computing approaches are utilized to design autonomous controller with controller reuse for a number of space applications. The notion of adaptation in autonomous controller reuse can be handled via intelligent tools to add on additional capabilities in real-time scenarios. Learning from past experience is but one such scenario for the reuse of autonomous controllers. These applications include satellite array formations, robotic agents and the Virtual Laboratory (V-LAB®) for multi-physics modeling and simulation.
Several path-planning algorithms for mobile robots have been introduced. Proper architectures for mobile robots to implement the path-planning algorithms are also of interest. If the mobile robots are to perform compl...
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Several path-planning algorithms for mobile robots have been introduced. Proper architectures for mobile robots to implement the path-planning algorithms are also of interest. If the mobile robots are to perform complicated tasks including complex sensing and planning operations and have accepted performance, must be autonomous: capable of acquiring information and performing tasks without programmatic intervention. In this paper we employ a layered architecture for mobile robots to perform our previously introduced cellular automata based path planning technique. It employs an abstraction approach which makes the complexity manageable. The architecture has an important feature which is its internal artifacts; it has some beliefs about the world and these beliefs are represented in artifacts and most actions are planned and performed with respect to these artifacts
One of the most challenging problems of clustering is detecting the exact number of clusters in a dataset. Most of the previous methods, presented to solve this problem, estimate the number of clusters with model base...
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One of the most challenging problems of clustering is detecting the exact number of clusters in a dataset. Most of the previous methods, presented to solve this problem, estimate the number of clusters with model based algorithms, which are not able to detect all types of clusters and also face a problem in detecting coupled clusters in a dataset. In this paper we propose a new method for finding the number of clusters in a dataset utilizing information theory and a top-down hierarchical clustering algorithm. The algorithm starts from a large number of clusters and reduces one cluster in any iteration and then allocates its data points to the remaining clusters. Finally, by measuring information potential, the exact number of clusters in a desired dataset is detected. Our method shows high capability and stability in detecting the number of clusters even in complex datasets, as it is computational efficient too. We show the effectiveness of the proposed method by experimenting on several artificial and real datasets and comparing its results with two developed methods for finding the number of clusters in a dataset. The comparisons show superiority of the proposed method.
This paper is based our previous work on model predictive control (MPC) of switched reluctance motor (SRM). A local linear neuro-fuzzy model is used to model SRM. Then a MPC schema is devised considering an appropriat...
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This paper is based our previous work on model predictive control (MPC) of switched reluctance motor (SRM). A local linear neuro-fuzzy model is used to model SRM. Then a MPC schema is devised considering an appropriate energy term in the objective function during optimization phase. Commutation occurs naturally as an outcome of the predictive control design process, not as an extra step added to the control policy. In this paper, an adaptive -time varying- objective function is proposed to better cope with nonlinear nature of the SRM. A fast and easy algorithm is devised to adjust the weights in the objective function. This new algorithm allow for an auto-tune MPC approach to SRM control. From a computational view point, we use locally linear model predictive control that with a quadratic cost and linear constraints reduces to a simple quadratic programming, which can be solved very fast in a closed form. Simulation studies justify applicability of our proposed method and algorithm to SRM applications
Recently, a capsule endoscope has been developed to observe images from the inside of intestine. Such a capsule endoscope does not have locomotion or hold method. To get proper diagnosis and medication, it is necessar...
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ISBN:
(纸本)0889865787
Recently, a capsule endoscope has been developed to observe images from the inside of intestine. Such a capsule endoscope does not have locomotion or hold method. To get proper diagnosis and medication, it is necessary to control the capsule from outside to guide locomotion. The designed and implemented capsule has feasibility to contract the small intestine by electrical stimuli through the electrodes. When the small intestine is contracted by electrical stimuli, the capsule can move to opposite direction, which means the capsule can go up and down in the small intestine. The implemented stimuli capsule always monitors excessive energy transmission and automatically shuts down the electrical stimuli to make it more secure. Additionally, the stimuli capsule goes on standby mode to save the battery, and it can be reset by comparator circuit which is connected to stimulus electrodes. To verify the design and implement the stimuli capsule, in-vitro experiments were performed with pig's small intestine.
Electrogastrography (EGG) is a significant reference of the myoelectric activity of the gastrointestinal tract and indicates whether it has a disease or not. There have been numerous studies of the myoelectric activit...
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ISBN:
(纸本)0889865787
Electrogastrography (EGG) is a significant reference of the myoelectric activity of the gastrointestinal tract and indicates whether it has a disease or not. There have been numerous studies of the myoelectric activity in a stomach, but only a few studies of the intestines because of the difficulty of measurement in the intestines. Recently, the technology of the biotelemetry capsule for measurement of internal information in the human digestive tract has been developed. In the current study, an EGG telemetry system using the developed biotelemetry technology was designed and implemented for measuring EGG in intestines. The EGG capsule converts the acquired EGG value to digital data, which is transmitted from the capsule to the external receiver. The performance of the telemetry capsule for the EGG monitoring in the gastrointestinal tract was verified by in-vitro animal experiments. From the experiment, it was verified that the EGG telemetry capsule can measures a slow wave in intestines.
We present a design for a quantum key distribution (QKD) system in a Sagnac loop configuration, employing a novel phase modulation scheme based on frequency shift, and demonstrate stable BB84 QKD operation with high i...
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We present a design for a quantum key distribution (QKD) system in a Sagnac loop configuration, employing a novel phase modulation scheme based on frequency shift, and demonstrate stable BB84 QKD operation with high interference visibility and low quantum bit error rate (QBER). The phase modulation is achieved by sending two light pulses with a fixed time delay (or a fixed optical path delay) through a frequency shift element and by modulating the amount of frequency shift. The relative phase between two light pulses upon leaving the frequency-shift element is determined by both the time delay (or the optical path delay) and the frequency shift, and can therefore be controlled by varying the amount of frequency shift. To demonstrate its operation, we used an acousto-optic modulator (AOM) as the frequency-shift element, and vary the driving frequency of the AOM to encode phase information. The interference visibility for a 40 km and a 10 km fiber loop is 96% and 99%, respectively, at single photon level. We ran BB84 protocol in a 40-km Sagnac loop setup continuously for one hour and the measured QBER remained within the 2%-5% range. A further advantage of our scheme is that both phase and amplitude modulation can be achieved simultaneously by frequency and amplitude modulation of the AOM's driving signal, allowing our QKD system the capability of implementing other protocols, such as the decoy-state QKD and the continuous-variable QKD. We also briefly discuss a new type of Eavesdropping strategy ("phase-remapping" attack) in bidirectional QKD system
We demonstrate a stable Sagnac quantum key distribution implementing BB84 phase-encoding protocol based on acousto-optic frequency shifters. The quantum bit error rate remains 4-6.5% for at least one hour without reca...
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We demonstrate a stable Sagnac quantum key distribution implementing BB84 phase-encoding protocol based on acousto-optic frequency shifters. The quantum bit error rate remains 4-6.5% for at least one hour without recalibration or feedback control
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