1,721,089 research outputs found
Information and knowledge sharing in a distributed system: application to environmental monitoring system
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A semantic approach to driving behavior analysis
No full textThe aim of this work is to propose a semantic approach to driving behavior analysis. The analyzed vehicle motion parameters are accelerations and positions. Both are sampled using an embedded low-cost lightweight architecture. The authors start from a linguistic description of the problem ontology demonstrating that the selected parameters are sufficient to describe various aspects of the driving behavior. The system is modeled in terms of fuzzy rules and a Fuzzy Inference System is used to classify the driving behavior. The experiments carried out show that the proposed system is able to discriminate among various driving behavior
Neural network based video surveillance system
No full textVideo surveillance systems are usually composed of a network of active video sensors that continuously capture the scenes and present them to a human operator for analysis and event detection. Unfortunately human operators are often unable to monitor the video streams coming from a large number of video sensors. In this paper a semantic event detection system based on a neural classifier is presented to screen continuous video streams and detect relevant events, specifically for video surveillance. The goal of the proposed system is to automatically collect real-time information to improve the awareness of security personnel and decision makers. Our research is focused on the use of the "known scene → no alarm / unknown scene → alarm " paradigm, where the meaning of scene is related to spatial-temporal events, instead of the classical "frame difference " paradigm. The proposed system is able to detect mobile objects in the scene and to classify their movements (as allowed or disallowed) so as to raise an alarm whenever unacceptable movements are detected. This ability is supported also for video cameras mounted on a motorized pan scanner: experiments showed that the system is able to compensate the background changes due to the camera motion
A basic ontology for multi agent system communication in an environmental monitoring system
No full textAir quality monitoring system is characterized by a large number of information sources used by experts capable of understanding the effects of single pollutants. By using an adequate ontological approach, it is possible to define a system having the ability of doing data mining and giving information to unskilled users too. To do this, we propose in this paper a multiagent system (MAS), layered in five levels, suitable to supply answer to a query characterized by a high semantic level. This is possible using progressive interpreting/multiplying techniques of a complex query in simple queries according with well-known compilers and OS theories. We develop a multiagent system that assists users in generating a uniform description for each information source, using descriptive domain ontology. Users and agents can query the extracted data using a standard querying interface. The ultimate goal is to provide useful information to users, supporting distributed workflow management environments
Semantic analysis and understanding of human behavior in video streaming
No full textSemantic Analysis and Understanding of Human Behaviour in Video Streaming investigates the semantic analysis of the human behaviour captured by video streaming, and introduces both theoretical and technological points of view. Video analysis based on the semantic content is in fact still an open issue for the computer vision research community, especially when real-time analysis of complex scenes is concerned. This book explores an innovative, original approach to human behaviour analysis and understanding by using the syntactical symbolic analysis of images and video streaming described by means of strings of symbols. A symbol is associated to each area of the analyzed scene. When a moving object enters an area, the corresponding symbol is appended to the string describing the motion. This approach allows for characterizing the motion of a moving object with a word composed by symbols. By studying and classifying these words we can categorize and understand the various behaviours. The main advantage of this approach lies in the simplicity of the scene and motion descriptions so that the behaviour analysis will have limited computational complexity due to the intrinsic nature both of the representations and the related operations used to manipulate them. Besides, the structure of the representations is well suited for possible parallel processing, thus allowing for speeding up the analysis when appropriate hardware architectures are used. A new methodology for design systems for hierarchical high semantic level analysis of video streaming in narrow domains is also proposed. Guidelines to design your own system are provided in this book. Designed for practitioners, computer scientists and engineers working within the fields of human computer interaction, surveillance, image processing and computer vision, this book can also be used as secondary text book for advanced-level students in computer science and engineering
Neural technologies for increasing the GPS position accuracy
No full textAim of this paper is to present a method to improve the accuracy of a GPS receiver. It is well known that there are many factors affecting the accuracy of a GPS receiver. In this work, the authors point out that many of these factors, considered in a given geographic area, have a certain periodicity. An important example of this kind of factors is the sky satellite position relative to receiver. The proposed method uses a neural network to correct the position computed by the receiver. The neural network is trained to learn the errors introduced into the measuring system by the cyclic phenomenon in the various hours of the day
A smart distributed measurement data management system for DSM
No full textThis work proposes a model of an intelligent short term demand side management system (DSM) based on a distributed measurement and management data system. The system is designed to avoid peaks of power request greater than a given threshold and to give maximum comfort to user. The DSM problem is modeled as a multi objectives scheduling problem and it is solved using a metaheuristic approach based on a multi agent system. The proposed system is composed of a distributed network of processing nodes (PN). Each PN hosts one agent and it is able to manage a single node of a distribution network allowing or disallowing it to supply power. Each agent reacts to a new critical condition entering in competition with the others to gain the access at a shared limited resource. As the results shown the proposed system can be the consumer's key to take advantage of a DSM program automatically
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