Search

This paper proposes unconstrained functional networks as a new classifier to deal with the pattern recognition problems. Both methodology and learning algorithm for this kind of computational intelligence classifier using the iterative least squares optimization criterion are derived. The performance of this new intelligent systems scheme is demonstrated and examined using real-world applications. A comparative study with the most common classification algorithms in both machine learning and statistics communities is carried out. The study was achieved with only sets of second-order linearly independent polynomial functions to approximate the neuron functions. The results show that this new framework classifier is reliable, flexible, stable, and achieves a high-quality performance. Index Terms--Functional networks, minimum description length, statistical pattern recognition.

The industrial network, often referred to as fieldbus, becomes an indispensable component for intelligent manufacturing systems. Thus, in order to satisfy the real-time requirements of field devices such as sensros, actuators, and controllers, numerous fieldbus protocols have been developed. But, the application of fieldbus has been limited due to the high cost of hardware and the difficulty in interfacing with multivendor products. As an alternative to fieldbus, the Ethernet (IEEE 802.3) technology is being adapted to the industrial environment. However, the crucial technical obstacle of Ethernet is its nondeterministic behavior that cannot satisfy the real-time requirements. Recently, the switched Ethernet becomes a very promising alternative for real-time industrial application due to the elimination of uncertainties in Ethernet. This paper focuses on the application of the switched Ethernet with multiple levels (that is, cascade structure with multiple switching hubs) for real-time industrial networking. More specifically, this paper presents an analytical performance evaluation of the switched Ethernet with multiple levels from timing diagram analysis, and experimental evaluation from an experimental testbed of networked control system. Index Terms--Fieldbus, industrial network, network delay, networked control system (NCS), real-time requirements, switched Ethernet.

This paper reports on the use of multi-agent system technology to automate the management and analysis of SCADA and digital fault recorder (DFR) data. The multi-agent system, entitled Protection Engineering Diagnostic Agents (PEDA), integrates legacy intelligent systems that analyze SCADA and DFR data to provide data management and online diagnostic information to protection engineers. Since November 2004, PEDA agents have been intelligently interpreting and managing data online at a transmission system operator in the U.K. As the results presented in this paper demonstrate, PEDA supports protection engineers by providing access to interpreted power systems data via the corporate intranet within minutes of the data being received. In this paper, the authors discuss their experience of developing a multi-agent system that is robust enough for continual online use within the power industry. The use of existing agent development toolsets and standards is also discussed. Index Terms--Cooperative systems, decision support systems, fault diagnosis, intelligent systems, knowledge-based systems, power transmission protection.

Some major issues of human-friendly man-machine interaction/interfaces in an intelligent residential system are dealt with to cope with increasing needs of the elderly and the handicapped for a higher level of living conditions. Specifically, the existing systems in this area are first examined and the inadequacy of some current remote-control interfaces for the elderly/handicapped is pointed out. Then, some intention-reading techniques are introduced for the elderly and/or the physically handicapped, for easier and more convenient use of machines and engineering systems. Index Terms--Human-friendly interface, intelligent residential system, intention reading.

We present a new model for multiple-input-multiple-output (MIMO) outdoor wireless fading channels and their capacity performance. The proposed model is more general and realistic than the usual independent and identically distributed (i.i.d.) model, and allows us to investigate the behavior of channel capacity as a function of the scattering radii at transmitter and receiver, distance between the transmit and receive arrays, and antenna beamwidths and spacing. We show how MIMO capacity is governed by spatial fading correlation and the condition number of the channel matrix through specific sets of propagation parameters. The proposed model explains the existence of "pinhole" channels which exhibit low spatial fading correlation at both ends of the link but still have poor rank properties, and hence, low ergodic capacity. In fact, the model suggests the existence of a more general family of channels spanning continuously from full rank i.i.d. to low-rank pinhole cases. We suggest guidelines for predicting high rank (and hence, high ergodic capacity) in MIMO channels, and show that even at long ranges, high channel rank can easily be sustained under mild scattering conditions. Finally, we validate our results by simulations using ray tracing techniques. Connections with basic antenna theory are made. Index Terms--Antenna arrays, channel capacity, channel modeling, diversity, multiple-input-multiple-output channels, smart antennas, space-time coding, spatial multiplexing.

Different partial discharge (PD) detection and measurement procedures suitable for use on cables, capacitors, transformers and rotating machines are examined and compared. Both narrow and wide bandwidth PD detectors are considered; particular attention is given in regard to their suitability to different types of electrical apparatus and cable specimens under test as well as their applicability to discharge site location and their capability to detect different forms of PD. A rather substantial portion of the discussion is devoted to the use of intelligent machines as applied to ED pattern recognition in terms of either ED pulse-height/discharge epoch (phase) distributions or discharge pulse shape attributes.

In this letter, we present a study of the signal-to-interference-plus-noise ratio (SINR) and throughput efficiency achievable on the uplink of a multicellular environment in the presence of smart antennas at the base station receivers. Both intracell and intercell interferers are explicitly taken into account, as is the SINR gain yielded by optimal beamforming. Different cases are compared, and in particular the tradeoff involved in choosing the frequency reuse plan is considered. It is seen that the system operates most efficiently with full frequency reuse, even though this requires intercell synchronization. Index Terms--Capture, cellular systems, MAC, optimum beamforming, packet data, smart antennas, wireless.

This paper focuses on automotive applications and discusses the development of a suite of integrated radar and IR sensors that can be used to surround a vehicle (car, truck, boat, etc.). The primary function is to provide information to the vehicle systems and operator as enhancements to passenger and vehicle safety. It may also provide vehicle information (speed, location, destination, etc.) and integrate information (weather, road/traffic conditions, service/rest-area location, route details, etc.) from an intelligent vehicle highway system. Index Terms--Airplane, automotive, boat, car, GPS, highway, intelligent vehicle highway system, IR, radar, sensors, truck, vehicle.

The range of experiments that a typical undergraduate energy conversion laboratory facility can support does not adequately prepare power engineering students for the digital-computer oriented power system industry. Traditional approach to experimentation involves manually reading several meters, logging data, performing necessary calculations and plotting results. In order to correct this problem, an Intelligent Data-Acquisition and Control (IDAC) system is implemented for the energy conversion laboratory at Penn State University-Harrisburg. Using the IDAC system, data gathering and analysis becomes automated. Students are therefore able to devote the bulk of their time to the intellectual aspects of the project.

Automatic meter reading (AMR) is the remote collection of consumption data from customers' utility meters over telecommunication, radio, power-line and other links. Electric utilities are exploring the usage of AMR data for outage management for distribution systems. Signals from automated meters can provide additional information in the outage detection and determination processes as well as restoration phases of outage management. However due to its low quality, AMR outage data cannot be fed directly into outage management systems. This paper details the development of an intelligent information filter for automated metering systems. The filter prevents false outage notifications in addition to improving the quality of outage data. The nature of wireless communication in the AMR system introduces uncertainty issues in the query process. This uncertainty has been modeled using probabilistic and fuzzy engineering techniques. The filter has also been tested using historical outage data. Index Terms--Automated meter reading (AMR) systems, fault location, fuzzy logic, intelligent systems, outage management system, power system restoration, probability.