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.
Novel computing systems are increasingly being composed of large numbers of heterogeneous components, each with potentially different goals or local perspectives, and connected in networks which change over time. Management of such systems quickly becomes infeasible for humans. As such, future computing systems should be able to achieve advanced levels of autonomous behaviour. In this context, the...
This study investigated whether normal adults were able to discriminate agency from the perceived traces or trajectories of past actions such as handwritings. Subjects wrote two types of component parts of Chinese characters, either mastered and unmastered, and were later shown various handwritten strokes and judged whether each of them had been written by themselves or by someone else. We found that...
Human skin detection is a very popular in much application, particularly in video surveillance. Many researchers have been conducting research in this area, by producing a variety of effective methods. In this paper, research carried out by using a simple and effective. A method of human skin region detection is base on Mixture of Gaussian (MoG) background subtraction and YIQ color enhancement. The...
In this paper, we propose an area-based communication detection system. We aim to detect conversations with their attributes, such as communication length, communication members, relationship among members, and subjects. We think extracting correlations between conversations' attributes and office worker productivity is important for office worker productivity improvement. To evaluate our proposed...
One of the major issues of monitoring activities in smart environments is the building of activity models from sensor's timed data. This paper proposes a general theoretical approach to this aim that provides operational results as it is illustrated with the prototypical home of the GerHome project. This proposal is based on the use of a Knowledge Engineering methodology and a Machine Learning process...
This paper presents a survey on the Internet of Things. Firstly, the origination and the definition of the IoT are discussed. And then its technology framework and the features are mainly discussed in detail. Finally the application and challenges are introduced.
With the penetration of smart-devices and intelligent home-appliances, M2M (machine to machine) communication has opened the door of new prospects for us. The success of such M2M networks depends on its human involvements at the least possible level. In this context, policy based management has huge potentials to be used for M2M communication. This paper presents such a policy based management framework...
This paper presents a multi-modal affect recognition system that is capable of effectively estimating human affective states through analyzing and fusing a number of non-invasive external cues. The proposed system consists of a probabilistic information fusion model based on the influence diagram and a set of data analysis, feature extraction and affect recognition modules for processing heterogeneous...
Ontology is becoming popular as a powerful way to structure the knowledge sources for complex systems. Modeling of evolvable ontologies turns out to be a research challenge for many decades. This paper presents how the agent technology can be used to update their ontologies while they are in execution. This solution has been designed to work on a primitive ontology at the beginning. Interaction among...
Since the word mechatronics was created in 1960s, the connection in physical level of mechanical and electronic subsystems and power driving had been gradually realized. By the end of 1980s, it was emphasized that the control of mechatronics systems was based on sensor information, scilicet the concept of information-driven. At the turn of the century, more and more researches and applications concentrated...
Open Web-based and social platforms dramatically influence models of work. Today, there is an increasing interest in outsourcing tasks to crowd sourcing environments that guarantee professional processing. The challenge is to gain the customer's confidence by organizing the crowd's mixture of capabilities and structure to become reliable. This work outlines the requirements for a reliable management...
Tragically, mass gatherings such as music festivals, sports events or pilgrimage quite often end in terrible crowd disasters with many victims. In the past, research focused on developing physical models that model human behavior in order to simulate pedestrian flows and to identify potentially hazardous locations. However, no automatic systems for detection of dangerous motion behavior in crowds...
This paper recaps a recent study in the organization of interactive practices utilized by humans in card-game activities for the purposes of informing the design of human-robot interaction with autonomous social robotic systems. The research utilized an applied Conversation Analytic (CA) approach to focus on the practices by which humans identified and dealt with interactional trouble within the game...
The M-learning has become a new learning mode after E-Learning. The appearance of the emerging strategic industry—Internet of Things(IOT) will undoubtedly bring new opportunities to the M-learning mode. This paper starts from the functions of IOT and the current situation of M-learning, discusses the M-learning mode which is under Internet of Things and purpose a IOT-ML mode introducing PP (pull and...
Land use/cover change in the coastal zone is a new research hotspot. Based on land use maps obtained from Landsat images (1979, 1989, 1999 and 2008), this paper detected the spatial orientation of land use changes in the coastal zone of Bohai Bay with a integrated geographical approach of land type barycenter movement, buffer analysis, land use degree and Shannon-weaver Index. Results showed the barycenters...
This paper specifically aimed at collaborative management on networked R&D of H product, according to the unique characters of H products, how can the networked R&D organization of H products come into effective coordinated management as a research focus, through the corresponding cooperative management research, in order to make the whole H product development process of higher efficiency,...
Deep brain stimulation (DBS) within the basal ganglia complex is an effective neurosurgical approach for treating symptoms of Parkinson's disease (PD), Essential Tremor, Dystonia, Depression, Obssessive Compulsive Disorder, and Tourette's Syndrome, among others. Elucidating DBS mechanism has become a critical clinical and research goal in stereotactic and functional neurosurgery and in neural engineering...
Distributed ambient and on-body sensor systems can provide a suitable basis for recognizing complex human activities in daily life. Moreover, distributed activity recognition systems have high prospects for handling processing and communication loads more effectively than centralized solutions. A key challenge is to construct distributed activity recognition systems that make efficient use of the...
New motion capture technologies are allowing detailed, precise and complete monitoring of movement through real-time kinematic analysis. However, a clinically relevant understanding of movement impairment through kinematic analysis requires the development of computational models that integrate clinical expertise in the weighing of the kinematic parameters. The resulting kinematics based measures...
Stem cell expansion culture aims to generate sufficient number of clinical-grade cells for cell-based therapies. One challenge for ex vivo expansion is to decide the appropriate time to perform subculture. Traditionally, this decision has been reliant on human estimation of cell confluency and predicting when confluency will approach a desired threshold. However, the use of human operators results...
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.