The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In order to effectively identify industrial process faults, an improved Fisher discriminant analysis (FDA) method, referred to as the statistics local Fisher discriminant analysis (SLFDA), is proposed for fault classification. For mining statistics information hidden in process data, statistics pattern analysis is firstly applied to transform the original measured variables into the corresponding...
Multiple objective navigation is commonly found in practice, where a path for an autonomous vehicle needs to be generated to simultaneously optimize a number of different objectives such as distance, safety, and visibility. Objectives can be weighted to solve a single objective optimization problem but appropriate weights may not be known a priori. In this paper, we formulate a series of missions...
To satisfy the stringent requirement of ocean monitoring in Marine Intelligent Transportation System, Marine Sensor Networks (MSNs) is envisioned as one of the most effective solutions. In this paper, we study the Heterogeneous and Double Paths MSNs (HDPM) architecture with Sensors (SNs) in view of the reliability of the networks. And we propose a generic integer linear programming (ILP) model to...
The paper addresses state estimation of nonlinear stochastic dynamic systems. In particular, the stress is laid on the selection and performance monitoring of estimators based on measures assessing the validity of the assumptions under which the estimators have been proposed. The main focus is placed on summary and unification of the measures of nonlinearity and non-Gaussianity which might be used...
In modern RAID-structured storage systems, reliability is guaranteed by the use of parity blocks. But the parity-update overheads upon each write request have become a performance bottleneck of RAID systems. In some ways, an attached log disk is used to improve the write performance by delaying the parity blocks update. However, these methods are data-block-oriented and they need more time to rebuild...
This work focuses on the development of a method to multiple-fault diagnosis of a mobile robot system in the presence of hide effect. The faults under consideration include parametric faults, sensor faults as well as fault modes. Multiple faults can happen at different time instances, and fault signature of the earlier fault can hide fault signature of the latter one which adds to difficulty of the...
Making Smart Energy Cities (SEC) a reality requires an intelligent and integrated assessment and consideration of various data sets, as well as relevant intelligent systems in a transparent and accessible manner. The scope of this paper is to present an innovative package of decision support tools (entitled “OPTIMUS”) for energy managers and energy consultancies, in order to make cities more energy...
Frequent value locality is a type of locality based on the observation that a small set of values is accessed very frequently. Several works have exploited it to construct different architectural schemes, such as memory and cache designs or bus and network optimizations. Although these previous works consider different criteria to establish what is a frequent value and what is not, they assume that...
Wireless Sensor Network is huge number of sensor nodes disposed randomly in severe field to gather data. It monitors physical phenominan changes such as temperature, pressure, humidity, solar radition, ambident light extra. Sensor nodes are small in size, having less energy, less communication power, less cost and multi functional nodes. This paper we firstly discuss about different types types of...
In this work, we study the achievable performance of a sea-search radar when the transmit beam-with is varied so as to trade a lower directional gain for a longer time-on-target and/or a shorter scan duration due to the reduced number of scanned directions. The considered figure of merit is the number of target detections per unit of time, which allows a fair comparison among scanning policies with...
We propose Powernet as an end-to-end open source technology for economically efficient, scalable and secure coordination of grid resources. It offers integrated hardware and software solutions that are judiciously divided between local embedded sensing, computing and control, which are networked with cloud-based high-level coordination for real-time optimal operations of not only centralized but also...
Extending the range of Ex-equipment status monitoring with the help of big data to solve the practical problem is an important research subject nowadays. For high reliable storage and rapid access of data, the safety and optimization of data distribution based on Hadoop is studied. A multi-copy consistency Hash algorithm based on data correlation is proposed. The algorithm store the relevant data...
Among the many electrical load disaggregation methods, often referred to as Non-Intrusive Load Monitoring techniques, the Additive Factorial Approximate MAP (AFAMAP) algorithm has shown outstanding capabilities and, therefore, it is nowadays regarded as a reference model. In order to achieve more accurate disaggregation results, and to satisfy real life environment requirements, further improvements...
Synthetic Aperture Radar (SAR) remote sensing techniques play a significant role in modern agricultural crop monitoring by relating the plant structure (height, biomass, yield and growth-stage) to the backscattering behavior of the vegetative canopy. The current trend in crop monitoring is towards precision agriculture, which needs detailed morphology information. By predicting the physical structure,...
Wireless sensor networks are increasingly important and active research topic because of their many practical uses. Localization problem in the wireless sensor networks is significant since the information collected without location is usually unusable. Often used approach to the localization problem is to post GPS receivers on a small number of anchor nodes and then to locate the other sensor nodes...
Rice fields occupy a land area of more than 100 million ha in Asia, feed about 3.5 billion people worldwide. There is a significant interest in the information provided by remote sensing about rice fields in a timely and efficient manner. Information on phenological development is a fundamental key to rice monitoring because it describes the actual state of the rice plants and their relation with...
Using as few sensor nodes as possible for detecting composite event effectively in large area is a difficult problem, because the composite event contains multiple atomic events which needs many different types of heterogeneous nodes for cooperative monitoring, and the coverage quality would be worse if there are not enough sensor nodes. Most of the traditional methods are focusing on atomic event...
Nitrogen dioxide (NO2), sulfur dioxide (SO2), and smoke are major pollutants, which are used to evaluate the air quality. This study developed a dual-phase air quality monitoring system to monitor the air quality, which based on the Shuffled Complex Evolution algorithm (SCE-UA), ground-based AQI data and satellite observations of NO2, SO2, and Aerosol Optical Depth (AOD). The system is implemented...
The energy-saving research of virtualization of the cloud computing platform shows that there are problems in the management mode of the existing virtualization platform. This model is based on a single node managing the whole platform and the single model is responsible for migrating as well as scheduling all of the virtual machine. The migration scope of virtual machine for these models will be...
In this work we investigate the design and application of advanced control strategies to a periodic chromatographic process. For the Multicolumn Countercurrent Solvent Gradient Purification process (MCSGP), a nonlinear process described by a periodic profile, we present a step-by-step procedure that enables the seamless development of explicit advanced MPC controllers for such systems. The designed...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.