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.
As the concept of the Internet of Things (IoT) permeates the industry and our lives it becomes more and more advantageous to use its emerging services and capabilities. In this paper we explore the possibility of combining the data and services provided by the emerging IoT with remotely controlled robots using a concept of the so-called Intelligent Space (IS). We also provide an overview of infrastructure...
The paper deals with the Cloud Based solution and experience using Microsoft Azure Emotion Assessment Software as a Service embedded for application for teachers. The project was also about testing an assessment on the selected database and accuracy this process was calculated. The paper report about the problems related to camera lighting and resolution of the audience. The testing Azure platform...
The paper is about the sentiment analysis within human expressions mainly in the form of texts. The sentiment analysis focuses on two kinds of sentiment: an opinion and emotion. The purpose is to provide the discovered opinions and emotions to a robot. Consequently, the robot will be able to adapt its behavior to the actual emotional situation. The results of the research can be utilized in work with...
Since the cloud computing became widely available, lots of previously algorithms and systems previously thought of as very time consuming became instantly viable. For robotics and AI especially this means that if the power behind the cloud could be harnessed, it would be possible to build smaller, more battery effective robots because there would be no need to have a powerful computer on board, but...
Sci-fi technological movie domain is an important part of human culture. The paper focus on comparison study of selected robotics sci-fi movie domain from a technological point of view. It is necessary to accomplish technological analysis of studied sci-fi movies and able to distinguish about possible current technology and future direction of the artificial intelligence in the domain of Robot intelligence...
Abstract: An improvement of the creep behaviour prediction of parallel‐lay aramid ropes under varying stresses is the scope of the following study in which application of artificial neural networks (ANNs) for the prediction of creep under varying stresses is presented. This qualitatively different approach assumes that the ANN can be trained to simulate time‐dependent response of the rope in the...
This work is deals with processing and analysis of ECG waves, namely with recognition of ECG samples with diagnosis of myocardial infarct and arrhythmia from samples. As a base concept for comparing the ECG wave to the typical wave,Template matching method is used, which can find the best similarity between the test sample and ECG templates. With respect to the metrics it calculates their relative...
Clustering of users inputs in multi-user Interactive Evolutionary Computation is intended to allow to collect large data sets for user-behavior modeling, while preserving the user's individuality. By clustering the user input data, we group together similar behaviors and distribute opposite ones, thus preventing conflicts in data resulting from opposite opinions of different users. Without this clustering,...
The target of this project is to propose and implement incremental system for multi languages linguistic command recognition in multi agent system MASS, based on client-server architecture. Preprocessing is realized with the aid of cepstral coefficients and classification is realized by modified MF Artmap. System allows remote parallel learning of various commands, their consecutive identification...
We define a new representation of the object in the known area. We can assign a name to the object and express uncertainty about its position using a fuzzy relation. This kind of representation about physical object can be used in the knowledge-based systems using rules and fuzzy inference system. We show an application in multi-robot coordination and control in the pursuit-evasion task.
This paper deals with object recognition and incremental multi-agent sophisticated system (MASS) with client-server architecture in which the recognition will be hosted. The object recognition has been realized here by method called SIFT. This method together with additional approach is implemented in plugins which are later on used by MASS. With the client of this system it is remotely and in parallel...
Visualization of the learning of neural network faces the problem of dealing with overwhelming amount of visual information. This paper describes the application of clustering methods for reduction of visual information in the response function visualization. When only clusters of neurons are visualized, instead of direct visualization of responses of all neurons in the network, the amount of visually...
The goal of this work is to create a model based on an artificial neural network for prediction in a real world domain. Information on prediction errors price function (reflecting the monetary value of a loss) is acquired from a power and heat production expert. Systematic errors and not acceptable types of errors in specific situations are identified and a solution using superposition of the price...
We propose hierarchical multi agent control system based on rule based fuzzy system for pursuit-evasion task and state a new representation of this type of game that is based on fuzzy logic. This approach enables improvement of the rule base under uncertain conditions and can process a priori inserted expert knowledge. Example application domain includes reckon and guard robots, research space probes,...
The project deals with the application of computational intelligence (CI) tools for multispectral image classification. Pattern Recognition scheme is a global approach where the classification part is playing an important role to achieve the highest classification accuracy. Multispectral images are data mainly used in remote sensing and this kind of classification is very difficult to assess the accuracy...
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.