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An individual's personality determines the probable repertoire of their reactions to a particular situation. A social robot is much more effective if it is able to learn and so take into account the properties of the humans around it, including personalities. We investigate how well personality can be estimated based on modest amounts of speech or writing, which a social robot might (over)hear. Such...
Human-robot interaction has become a popular topic in the domestic environment owing to the increase in elderly population. In order to achieve a more natural interaction process, robots are expected have human-like interaction capabilities. Human-like behavior should extend beyond the interaction process to perceive human intention. The robots are required to have intelligence to interpret and distinguish...
How to carry out website operation management effectively is one of the research hotspots in IT industry. In this paper, a novel research framework based on data mining as the main method is proposed for the website management in the big data background. Through real-time monitoring of the abnormal fluctuation of data and timely identification of effective information, the purpose of core information...
Aiming at the interaction between urban transformation and service industry development, an interactive mining method based on urban transformation and service industry is proposed. In light of the problem of large data volume, discrete urban transformation data storage and clustering analysis efficiency, a preprocessing model based on discrete and rasterized check-in data is proposed. The spatial...
The article is devoted to the study of the method of self-learning of an artificial intelligence, based on the use of software tools for collecting information from various Internet resources. There is developed a web crawler that analyzes Internet resources for the presence of false articles by data mining methods based on an artificial intelligence and by self-learning through the mechanism of neural...
Efficient storing and managing of robot's experiences is of utmost importance in long-term recurring HumanRobot Interaction scenarios, where the volume of information increases constantly. To address these issues, a novel entity-based episodic memory is introduced in this work. Knowledge is represented by hierarchical multigraphs enabling for fast information retrieval. Consisting entities are asynchronously...
The task of forming of different-quality rock mass flows requires a new approach to selective extraction. This approach is implemented on the basis of a higher level of information support for mining operation processes. The complex algorithm for mine work when forming different quality rock mass flows requires robotization of this process. To form the material composition of different-quality rock...
Massive volumes of data are generated by various users, entities, applications and disseminated online. This copious volume of big data is distributed across millions of websites and is available for various applications. Search engines do provide a simple mechanism to access this data. Accessing this data using search engines requires a user to spend time and resources to manually click and download...
Robot manipulation is one of prerequisites capability for service robot. However, autonomous manipulation remains a challenging problem for robot to implement the task, where robot has physical interactions and mechanical contacts with its environment. To date, learning from demonstration (LFD) has been successfully applied to enable robot to acquire new manipulation skill. Researches on LFD mainly...
We develop and analyze an unsupervised and domain-independent method for extracting keywords from single documents. Our approach differs from the previous ones in the way of identifying candidate keywords, pruning the list of candidate keywords with several filtering heuristics and selecting keywords from the list of candidate keywords according to dynamic threshold functions. We were able to obtain...
This paper proposes a place cell model allowing place recognition in the context of robot autonomous navigation. The robustness of this approach lies in the fact that even if one or several patterns characterizing the place are removed or not visible anymore, a place can still be recognized. The recognition process in this work is improved with respect to the state-of-the-art place cells approach...
This paper presents a data analytics approach for recovering test-pad information from images of printed circuit boards. The main aim is to obtain highly accurate information as input to a robotic flying probe tester. Such a tester is a mechatronic system that is able to perform a great variety of diagnostic testing on printed circuit boards without any additional circuit board documentation. In this...
In this paper, an improved association rule data mining algorithm is proposed, and by applying this algorithm to the analysis of football tactics, the training level of football players is improved. Firstly, the problem of mining association rules is explained, and the concept of support and confidence is defined in advance. Secondly, for a given transaction database and a target object, top K direct...
In the process of controlling crimes, public security often faces a lot of information which is incomplete, fuzzy and random information. How to extract useful and potential information and knowledge from above information has become a difficult problem for public security. The data explosion but the data mining technology rapid development and application of lack of knowledge of the status quo, data...
This paper presents the first results of a functional prototype implementing a linguistic model focused on regulations in Spanish. Its global architecture, the reasoning model, a case-study and short statistics are provided for the prototype named PTAH. It mainly has a conversational robot linked to an Expert System by a module with many intelligent linguistic filters, implementing the reasoning model...
The development of robot partners for supporting daily life of human has been increasing recently. One main feature in developing such robot is the communication system. The main issues to be solved are, what kind of information can be provided, when the information is provided, how to convey the information and so on. In this paper, we try to solve these problems by proposing a communication system...
For more realistic human-robot interaction, a robot should be able to flexibly respond to human's linguistic expressions that are not predefined in situations of face-to-face communication. However, most robots currently employ a limited response method in which they only react when the human speaks predefined words or sentences in a dictionary. This has been regarded as a limitation to the practical...
Thermal convection and fluid flow in porous media has gained increasing research interest in recent years due to the presence of porous media in many engineering applications. Rough set theory has been regarded as a powerful feasible and effective methodology in the performance of data mining and knowledge discovery activities. This paper introduce a method for building knowledge for the rate of heat...
The grant for the research gives the researcher the important opportunity to make fruitful research results. Recently, the notification of the government grants and some Foundation grants in the various fields informs the researchers through Internet. However, the notification provided through Internet includes ambiguous and complex. The researchers will fail to notice the grant information which...
Drugs may interact with numerous molecules in the human body. Unexpected drug-protein binding (e.g. off-target binding interactions) may result in adverse reactions, which increase therapeutic risks and negatively impact drug development. Applying network pharmacology to predict drug effects and toxicity resulting from multi-target interactions is therefore considered a promising method capable of...
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