Lacking medical information about a victim in the aftermath of an emergency makes the early treatment and the efficient allocation of resources difficult. On the other hand, communication infrastructures are normally ...
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ISBN:
(纸本)9783642004865
Lacking medical information about a victim in the aftermath of an emergency makes the early treatment and the efficient allocation of resources difficult. On the other hand, communication infrastructures are normally disrupted in these situations. thus hindering the gathering of the required information. This paper presents a new application of mobile agents for retrieving partial information of medical records upon request from the emergency scene. This solution fits well when mobile ad hoc networks are in use, and it is based on the asynchronous communication provided by mobile agents. By using the proposed system, it is possible to request remote hospitals for critical information about the victims. such as allergies or infectious diseases, thus facilitating more accurate diagnosis and bringing forward decision making. An implementation of the system has been developed, showing its feasibility.
An increasing interest of low-power integrated intelligent sensor systems is intended for the efficient realization of mobile and distributed realizations. Wireless sensor networks (WSN) are one possible example, wher...
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ISBN:
(纸本)9783540896180
An increasing interest of low-power integrated intelligent sensor systems is intended for the efficient realization of mobile and distributed realizations. Wireless sensor networks (WSN) are one possible example, where long term sensor vigilance and data acquisition and rather sporadic and brief communication phases occur. Mixed-signal realization, in particular exploiting sub-threshold implementation are interesting, but suffer from susceptibility to environmental and process parameter deviations. Redundancy and reconfiguration based on evolutionary approaches can overcome these problems and raise the yield. In this paper, the behavioral model of a previously implemented one-nearest neighbor (1-NN) reconfigurable mixed-signal classifier is modified by using Gaussian distribution of process parameter deviations, which is more close to real problems rather than uniform distribution used in our prior work. An eye-tracking example will be employed for the case study. To compensate classifier performance due to static deviations, the prototypes are adjusted or reconfigured by Particle Swarm Optimization (PSO) and successfully proved in our simulation results. The yield could be increased considerably, so that PSO and instance based reconfiguration gives broader applicability to low-power mixed-signal circuits.
intelligent Tutoring Systems (ITS) have some specific characteristics that must be taken into consideration during the development. However, there are no specific tools for agent based ITS development. This paper prop...
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ISBN:
(纸本)9783642004865
intelligent Tutoring Systems (ITS) have some specific characteristics that must be taken into consideration during the development. However, there are no specific tools for agent based ITS development. This paper proposes such tool named MASITS for multi-agent based ITS development. The tool supports the whole life-cycle of ITS development. It provides an environment to create models needed in all phases of the development. During the analysis phase a goal diagram and a use case diagram is used. The design is divided into two stages, namely external and internal design. The tool provides code generation from the diagrams created during the design. Source code of JADE agents, behaviours and ontology are generated.
The widespread adoption of autonomous intrusion detection technology is overwhelming current frameworks for network security management. Modern intrusion detection systems (IDSs) and intelligent agents are the most me...
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ISBN:
(纸本)9783642040900
The widespread adoption of autonomous intrusion detection technology is overwhelming current frameworks for network security management. Modern intrusion detection systems (IDSs) and intelligent agents are the most mentioned in literature and news, although other risks such as broad attacks (e.g. very widely spread in a distributed fashion like botnets), and their consequences on incident response management cannot be overlooked. Event correlation becomes then essential. Basically, security event correlation pulls together detection, prevention and reaction tasks by means of consolidating huge amounts of event data. Providing adaptation to unknown distributed attacks is a major requirement as well as their automatic identification. This positioning paper poses an optimization challenge in the design of such correlation engine and a number of directions for research. We present a novel approach for automatic generation of security event correlation rules based on Genetic Programming which hats been already used at sensor level.
The paper describes a web based system which applies softcomputing techniques to the area of real estate management. The application is built on a Fuzzy Object Relational Database Management System called soft Data S...
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ISBN:
(纸本)9783540896180
The paper describes a web based system which applies softcomputing techniques to the area of real estate management. The application is built on a Fuzzy Object Relational Database Management System called soft Data Server, which provides application capabilities for fuzzy data handling. A brief overview of fuzzy types and operations available in soft Data Server is also depicted. The paper shows the way real estate attributes can be expressed using fuzzy data, and how fuzzy queries can be used to express typical real estate customer requirements on a fuzzy real estate database. Finally, a brief overview of the layered architecture of the application is presented.
Colour quantisation algorithms are used to display true colour images using a limited palette of distinct colours. The choice of a good colour palette is crucial as it directly determines the quality of the resulting ...
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ISBN:
(纸本)9783540896180
Colour quantisation algorithms are used to display true colour images using a limited palette of distinct colours. The choice of a good colour palette is crucial as it directly determines the quality of the resulting image. Colour quantisation can also be seen as a clustering problem where the task is to identify those clusters that best represent the colours in an image. In this paper we investigate the performance of various fuzzy c-means clustering algorithms for colour quantisation of images. In particular, we use conventional fuzzy c-means as well as some more efficient variants thereof, namely fast fuzzy c-means with random sampling, fast generalised fuzzy c-means, and anisotropic mean shift based fuzzy c-means algorithm. Experimental results show that fuzzy c-means performs significantly better than other, purpose built colour quantisation algorithms, and also confirm that the fast fuzzy clustering algorithms provide quantisation results similar to the full conventional fuzzy c-means approach.
Hydrological phenomena are often very dynamic and depend on numerous criteria. The STAFF software is an adaptive model for flood forecast based on self-organizing multi-agent systems. It is operational since 2002 in t...
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ISBN:
(纸本)9783642004865
Hydrological phenomena are often very dynamic and depend on numerous criteria. The STAFF software is an adaptive model for flood forecast based on self-organizing multi-agent systems. It is operational since 2002 in the Midi-Pyrenees region in France. The aim of this paper is to show the relevance of our approach to model complex natural systems by focusing on the results, architecture and self-organization mechanisms of a real world application. The main idea is to let the artificial system self-adapt towards the adequate model by confronting it to real data. thus ensuring that the resulting model represents reality. Moreover, since the MAS is constantly adapting, we obtain a dynamic and autonomous system that can take into account any future dynamics (strong perturbations, sensor breakdowns...) and able to provide decision-makers with usable information anytime.
Early researches on Constraints Satisfaction Problems (CSP) in Artificial Intelligence began in the 1970s. The CSP formalism addresses many problems in a simple and efficient way. However, it is not possible to solve ...
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ISBN:
(纸本)9783642004865
Early researches on Constraints Satisfaction Problems (CSP) in Artificial Intelligence began in the 1970s. The CSP formalism addresses many problems in a simple and efficient way. However, it is not possible to solve some of these problems in a classical and centralized way, for various reasons such as prohibitive computation time or unsafe security data. To solve these naturally distributed problems, the Distributed CSP (DisCSP) have been proposed. In this paper, we present an algorithm called DBS for DisCSP solving and we discuss about the performances obtained with a random DisCSP generator.
Complex system design requires a multi-disciplinarily approach deploying a multiplicity of point of views. The OREA (Organization-Role-Entity-Aspect) model presented in this paper proposes a conceptual framework allow...
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ISBN:
(纸本)9783642004865
Complex system design requires a multi-disciplinarily approach deploying a multiplicity of point of views. The OREA (Organization-Role-Entity-Aspect) model presented in this paper proposes a conceptual framework allowing to represent a complex system in different points of view and to integrate them in order to form a coherent system. Using an Agent-Group-Role (AGR) extension, OREA allows not only to represent a system from various points of view through the roles played by entities within organizations, but also to allow various entities to play a same role in various ways through the notion of aspects. Unlike most roles based models, OREA provides a clear distinction between (1) the external properties of an entity described by the roles and (2) the internal properties described by the aspects. The OREA model increases organization reuse and the adaptability of a system. OREA model have been implemented in Mimosa and used to implement a simulator for carbon dynamics analysis at village territory level.
In this paper basic directions of cognitive approach evolution in the field of formal methods of searching and making decisions in the control of complex and ill-structured situations are briefly reviewed. The problem...
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ISBN:
(纸本)9783642032011
In this paper basic directions of cognitive approach evolution in the field of formal methods of searching and making decisions in the control of complex and ill-structured situations are briefly reviewed. The problem of risks for the results validity that arise due to the human factor in the cognitive approach is considered and the conception of cognitive risks is proposed with two kinds of risks exposed. On the example of a real-life cognitive map, modeling a complex and ill-structured situation, practically significant risks of invalid formalization related to causal influence transitivity are demonstrated. Some explanatory mechanisms and criteria for the early detection of such risks are proposed. The issues important for further evolution of the cognitive approach to decision-making in the ill-structured situation control and especially of causal mapping techniques are lighted.
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