Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
This paper presents the architecture and development of the a pedagogical multi-agent system for Virtual Peer Agents, that support the teaching/learning process. SmartChat is a system of agents that interact with human students and offers help on issues related to a particular course. SmartChat allows communication independent, coordinated, eloquent and realistic between human and artificial agents.
In this paper an audio-video system for intelligent environments with the capability to recognize people is presented. Users are tracked inside the environment and their positions and activities can be logged. Users identities are assessed through a multimodal approach by detecting and recognizing voices and faces through the different cameras and microphones installed in the environment. This approach...
In traffic surveillance applications, automatic methods to detect abrupt changes in a traffic scene are highly desirable. A robust method is introduced for camera based assessment of scene changes based on the dynamics derived from the detected objects in the scene. The approach needs a calibrated and oriented camera but no further contextual knowledge and works even with highly fragmented trajectories...
CAPTCHA is an automated test that humans can pass, but current computer programs can't pass any program that has high success over a CAPTCHA can be used to solve an unsolved Artificial Intelligence (AI) problem. The most widely used CAPTCHAs rely on the sophisticated distortion of text images rendering them unrecognizable to the state of the art of pattern recognition techniques, and these text-based...
The paper introduce an increment output mode suitable for Fuzzy controller. The algorithm is designed on the experience of human' operation, and based on the basic fuzzy controller. The increment output mode algorithm is used for the SCM system with low compute speed and less memory. The simulation and experiments all show the better performance in different application cases.
The establishment of an “adaptive architectural environment” implies the establishment of systems or mechanisms with adaptive ability. These systems or mechanisms possess artificial intelligence and can autonomously change in accordance with the state of to environment or the occupant's immediate needs. Progress and development in ubiquitous computing technology have made the design of architectural...
Thousands of people die every year because of cancer due to limitation of medical sources and unable to use the existing sources effectively. Loss of patients can be reduced by using the numerical (quantitative) techniques in the system of Medical and Health. Cancer is a genetic disease which is developed by the abnormal cell increase and cell growth as a result of DNA damage and cells being out of...
We provide a practical industrial visual surveillance framework based on the notion of visual trap points. Instead of using the whole machinery of computer vision in order to verify correct workflow execution we re-factor the behavior training module to a pre-configured pool of allowed behaviors. We exploit humans' ability to distinguish tasks and allow for an automated surveillance system to accomplish...
Event description is a way to objectively describe an event and activity in a video stream in a measurable manner such that it can be processed by computer systems. Event Description Language (EDL) is an event description framework which is used to store and describe objective meaningful event and activity occurring in a video stream. This paper discusses the manual application of one such EDL, the...
This research is aimed at achieving human consciousness in a robot. The authors focus on mirror image cognition, which is a high-level conscious function of humans, and have been conducting mirror image cognition tests with the robot, and have discovered that emotion and feelings are closely related to decision-making and learning. However, do humans always decide on an action through their emotions?...
Recently, research into pathological cytology were intended to put in places of artificial intelligence systems based on the development of new diagnostic technologies and the cell image segmentation. These technologies are not intended to substitute the human expert but to facilitate his task. The objective of this work is to develop a method for diagnosing cancer cervical smears using cervical -...
Since the 21st century, artificial intelligence has deeply impacted the development process of every subject, such as Cybernetics, Information Theory, System Theory, Computer Science, physiology, etc., nearly involving any field and category in the human world in the theory and practice study. With the development of artificial intelligence, the internet has become a relatively new field. Today, with...
As smart home technologies are deployed in research and real world environments, there is continuing need for quality visualization. These data come from a variety of sensor sources, artificial intelligence algorithms and human feedback. Building tools that are easily configured, rapidly developed and capable of communicating with both real time and historical data is ever challenging. This work introduces...
The aim of this paper is to present the role of Artificial Intelligence techniques (Expert systems) to enhance reflective e-portfolios quality. Some AI techniques such as the expert system; scheduling; Data Mining can support us to enhance our reflective e-portfolios quality. These tools together will define new intelligent Reflective e-portfolio that provides intelligent and customized learning method...
This paper provides a general overview of the interdisciplinary study of cognitive science, specifically the area of the field involving artificial intelligence. In addition, the paper will elaborate on current research for cognitive science artificial intelligence, highlight the importance of this research by providing specific examples of its applications in present society, and briefly discuss...
In this paper, we proposed a novel method to improve colonic polyp detection in computed tomographic colonography. Utilizing the human knowledge workers via the Amazon Mechanical Turk (MTurk) webservice, we distributed polyp detections from a computer-aided detection system (CAD) to anonymous online knowledge workers and asked them to distinguish true and false polyp candidates. We combined decisions...
Clustered dot ordered dithering (CDOD) is one paradigm of digital half-toning that is employed for systems which cannot produce more than two levels at display. The conventional CDOD results in major limitations i.e. visually objectionable periodic patterns, false contouring and blurred appearance of the half-tone images. Cluster generation using artificial intelligence may be a potential solution...
The application of techniques from artificial intelligence, human decision-making processes, optimization, and learning methodologies have led to significant development in the field of cognitive radios. A cognitive radio improves on a traditional radio by incorporating situational awareness, learning, and decision-making to meet the application goals and adapt to the current operating environment...
Intelligent infrastructure is an architecture that enables generation of immediate, accurate and relevant information about the state of any type of infrastructural asset and converts this information to timely and reliable decision aids. The study presented in this paper identifies the scope of railway intelligent infrastructure system via a mixed contextual and sequential approach. The output from...
This paper describes the bio-inspired visual detection for the smart user experience based on neuromorphic system, mimicking the visual cortex. The neuromorphic system is investigated for visual detection of users and their reaction, based on the VLSI neurons and synapses by CMOS conductance and Hodgkin-Huxley formalism. The proposed neuromorphic system exhibits the biologically plausible intelligent...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.