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It is the purpose of this article to discuss about the definitions of Artificial Intelligence, Cognitive System and Cognitive Radar. Moreover, the concepts of Cognitive Radar will be described in this paper as their principal components, the technologies required to support these and Cognitive Radar Network.
Human behavior understanding is the basis for the robot to provide intelligent service. According to the shortcoming of human behavior understanding with image processing, an expert system is built with the combination of CLIPS and VC++. Firstly, the context information provided by sensors in the intelligent space oriented to home service robot are collected and processed with VC. Since the information...
Taking complex electric equipment for engineering background, this paper researches the application of information fusion in fault diagnosis. First, this paper makes a brief introduce about the concept and availability of information fusion technology in fault diagnosis, then for the requirement of practical engineering application, it gives a describe about the hierarchical model and the method correspond...
A major source of vibration in the helicopter is derived from the main rotor dynamics and imbalance. Excessive vibration can cause premature wear to the aircraft and rotating components. Additionally, vibration causes pilot fatigue that in itself can be a safety issue.
Feature extraction methods in pattern recognition tasks seek to transform data variables to abstract mathematical variables such that their scores (called features) reveal hidden data structure of high cognitive value. Various feature extraction methods process raw data from different perspectives. Some depend on statistical correlation or independence such as principal component analysis (PCA), independent...
In view of the shortcomings of the monitoring system for State of Bridge depended on the public mobile telecommunication network, which includes the impossibility to carry out the monitoring for a long term or real time, the call for a new method based on IOT has been responded in this paper. This method is concentrated by the cloud computing, modern data communication and industry process data sensor...
This research determines the feasibility of using an Exsys Corvid based expert system to detect and respond to network threats and appropriately administrate a Linux-based iptables firewall in real-time. In our implementation, we attempt to replace the human domain expert required for creating the expert system knowledge base with intrusion detection rules created by data-mining on network traffic...
Diesel engine type of generators that uses fuel to produce electricity are common in many countries which suffer from inconsistency in electricity supply. To lower the cost, manufacturers tend to purchase secondhand generators to ensure constant supply of electricity during production. However, manufacturers do not have the proper skill to assess the health of second-hand generators. This, coupled...
This paper presents a novel methodology that estimates position and orientation using one position sensor and one inertial measurement unit. The proposed method estimates orientation using a particle filter and estimates position and velocity using a Kalman filter (KF). In addition, an expert system is used to correct the angular velocity measurement errors. The experimental results show that the...
This article is based on the idea of lowering the risk of taking erroneous decisions under stress or panic. There are many environments in which wrong decisions may cause severe problems; good examples are airplane control or nuclear power plant monitoring. The crucial issue is to detect the point of transition from a well-thought decision into a decision taken under stress. Sensors support monitoring...
The paper proposed a moving effect judgment and adjustment system based on physiology information fusion. According to the characteristic of the dynamic data and physiology sensors with multiple sources and different structures, the framework of the system was divided into four levels and the Kalman filter and fuzzy neural network technology was chosen as fusion method. In addition, the expert system...
The prolonged 2008 winter storm of central and southern China caused extensive damage to the electrical installations and railway contact wires. As a result, the transmission provider of the state has deployed substantial efforts to mitigate the effects of future ice storms. This paper describes a research program relating with this goal. An icing and icing melting expert system has been developed...
In this paper we discuss the components and design of each part of an expert system for fault detection and diagnosis in the refrigeration process of a hydraulic power station. Given a minimum group of measurements, it is possible to extract behavior patterns for the whole system. The knowledge base is obtained by simulating the dynamic behavior of the process. The expert system was designed for a...
As high-voltage electric equipment has complex structure and works in harsh environment, FBG (fiber Bragg gating) sensors were applied to realize the real-time monitoring of some characters in which temperature was taken as the main factor. Using neural network to recognize and classify fault types, making a further fusion of fault information by expert system. After simulation and experiment, it...
Sensors working at different times, locations, and scales, and experts with different goals, languages, and situations, may produce apparently inconsistent image labels that are reconciled by their implicit underlying relationships. Even when such relationships are unknown to the user, an ARTMAP information fusion system discovers a hierarchical knowledge structure for a labeled dataset. The present...
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