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.
Collaboration and collaboration support are often a mixed blessing. While performing tasks collaboratively is useful to gain commitment, shared understanding and to benefit from the knowledge and different perspectives of all participants, it is difficult for groups to work effectively and efficiently. Furthermore, it is challenging to design collaboration support tools and techniques, as not only...
Nowadays practical solutions of engineering problems involve model-integrated computing. Model based approaches offer a very challenging way to integrate a priori knowledge into the procedure. Due to their flexibility, robustness, and easy interpretability, the application of soft computing, in particular fuzzy and neural network based models, may have an exceptional role at many fields, especially...
A comparison of three different subset selection methods in combination with a new learning algorithm for nonlinear system identification with local models of higher polynomial degree is presented in this paper. Usually the local models are linearly parameterized and those parameters are typically estimated by some least squares approach. For the utilization of higher degree polynomials this procedure...
Scattering Center Models (SCMs) are an approach to efficiently characterize electromagnetic scattering of complex shaped objects in terms of a distribution of equivalent sources. SCMs have been widely used in the area of radar target modeling, particularly for object characterization and classification. Recently, the SCM approach has been adapted to model the electromagnetic properties of vehicles...
In many computer vision related applications it is necessary to distinguish between the background of an image and the objects that are contained in it. This is a difficult problem because of the constraints imposed by the available time and the computational cost of robust object extraction algorithms. This report describes a new method that benefits from state of the art background/foreground classification...
Fingerprint segmentation is one of the first and most integral pre-processing steps for any fingerprint verification system, and it determines the results of fingerprint analysis and recognition. In this paper, we have proposed a novel algorithm for fingerprint segmentation. The fingerprint image gradient are discussed and its application to fingerprint segmentation is presented. Firstly, Gauss filter...
This paper describes our novel methodology for the creation of efficient AI based Agents capable of adapting. We use AI concepts established and used in the implementation of character behaviour for games, such as the Belief-Desire-Intention model and Finite State Machines. A discussion on their role in efficient agent behaviour encoding is presented. We then suggest a novel differentiated combination...
In this note, we present universality results obtained when we incorporate antiport rules in Evolution- Communication (EC) P Systems with Energy. In the mode where no priority is imposed over communication and evolution rules (CEM), the proof requires four membranes and a minimal quanta of energy both for symport and antiport. On the other hand, while we have not improved the results of previous literature...
The adaptive cycle of knowledge creation and co-evolution of knowledge networks are simulated to examine what behavioral mechanisms and rules of interaction confer community structures conducive to innovation. Specifically, we use small-world network and clustering coefficient as a proxy metric to study the impact of domain tolerance, receptivity, inertia, and mobility on stability and innovation...
In this paper a modified Offset Min-Sum decoding algorithm for Low-Density Parity Check Codes is presented. In this modified algorithm, the offset factor in the original Offset Min-Sum algorithm is adjusted iteratively with the assistance of the check-node computation outputs of the Normalized Min-Sum algorithm. As a result, the offset factor in our modified algorithm can be calculated adaptively...
Wireless sensor networks (WSNs) are data centric networks to which data aggregation is a central mechanism. Nodes in such networks are known to be of low complexity and highly constrained in energy. This requires novel distributed algorithms to data aggregation, where accuracy, complexity and energy need to be optimized in the aggregation of the raw data as well as the communication process of the...
Nowadays practical solutions of engineering problems involve model-integrated computing. Model based approaches offer a very challenging way to integrate a priori knowledge into the procedure. Due to their flexibility, robustness, and easy interpretability, the application of soft computing based models, may have an exceptional role. Nevertheless, ever so advantageous their usage can be, it can still...
In this paper efficient computer implementations of some of the most commonly used Volterra series based power amplifier behavioral models are proposed. The desired efficiency is in regard to algorithm complexity and floating point operations. Finally a comparative overview of the different behavioral models with respect to their complexity is presented.
Progress in marine ecosystem modeling has seen a proliferation of the number of state variables and processes represented, in order to realistically describe system dynamics and feedbacks associated with, for example, changing climate. Assigning realistic and robust values to the many associated model parameters has become increasingly difficult due to under determination through lack of data and...
Consider a sensor-field deployed to detect intrusions into a security zone, with each sensor monitoring more than one site. We develop an efficient inference algorithm for determining, from the sensor readings, the most probable set of locations where intrusions have occurred. With N potential points of intrusion, there are 2 * *N subsets of points where intrusions could occur, and searching by direct...
This paper presents a component-based framework for mechatronic systems modeling. The main concept of component-based approach is to create a model for common system's basic components, which can be reused as many times as required. These components can be then successively aggregated in order to have a model that sufficiently represents the whole system. The proposed framework is a hierarchical structure...
Edge contraction simplification based on DEM terrain algorithm is proposed as a new terrain simplification algorithm which is based on DEM terrain data characteristics. The algorithm introduces the gradient of triangle, and combines with gradient and the length of edges as weight of the vertex to represent the importance of a vertex. By using the vertex weight, we can constrain the region being affected...
In this paper a method for controlled simplification is presented, which is able to create simplified models with specific properties concerning complexity and behavioral deviation automatically. The method requires a finite set of model component classes, of which instances a user-defined model can be created. Two techniques for simplification are used: aggregation, where a large set of components...
Autonomic computing is a new technology to solve crisis of software complexity which means to hide the complexity of system management from human users by means of technologies managing technologies, to establish guidable, state-aware, and self-adaptive computer systems. According to the analysis of domestic and foreign representative literature, this paper makes an overview on concept of autonomic...
In this work, we consider the selection of complexity and rate controlling source coding parameters jointly with transmitter power. Power invested during source encoding can potentially improve coding efficiency while transmission power determines the capacity of the delivery channel. A complexity scalable source encoder is a useful tool during overall system optimization as it allows flexible allocation...
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.