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Future urban computing scenarios will be characterized by the close integration of ICT devices and humans. Citizens, by using their own capabilities augmented and integrated with ICT technologies, could thus collaboratively realize a sort of socio-technical super organism to support high-levels of collective "urban" intelligence and various forms of collective actions. This position paper,...
This paper presents a design of reconfigurable hardware platform for wireless sensor networks to achieve high flexibility and robustness in system operation and resource utilization. The goal of this research is to develop a new type of sensor networks with cognitive features (e.g., context awareness and situation understanding) such that human behavioral biometrics can be measured through distributed...
People-centric participatory sensing empowers people to collect and share sensor data using mobile devices across many applications. These people-centric services utilize a client-server architecture to provide meaningful information to different participating people. In this paper we present the COSN framework that provides people-centric services without relying on an infrastructure and dedicated...
Effective relationships between people and technology are essential for organizational response (agility, adaptation, and innovation). Advances in computing power, and the rise of complex ubiquitous systems, raise a challenge for managing this relationship given limits of human physical and cognitive capacities. To re-align people with computing technology involves either improved human training,...
With the advent of artificial general intelligence architectures, comparison between different architectures became more complicated. Small isolated tasks like box stacking, path finding, chess, or collecting objects is sufficient for highly specialized algorithms like the ones used in artificial intelligence. The holistic control systems are designed to cope with rich, dynamic, and complex real world...
The increased popularity of the proactive security paradigm aggravated the need for distributed surveillance systems. These systems are built using smart sensor networks which cover large areas of civilian concentration. Such networks need intelligent management systems to control the large number of sensor nodes and the large volume of data. Sensor Management Frameworks (SMF) aim to coordinate the...
The concept of situation is central to the decision making processes of both human and software agents. The recognition of situation facilitates decision processes that ultimately result in action selection. Cognitive agent architectures that incorporate the concept of situation provide the opportunity for more sophisticated representations of human behavior and for more sophisticated decision support...
A lot of research in the radio domain has focussed on integrating autonomy and smartness capabilities inside future radio equipments like mobile phones. Such a smart radio is called a cognitive radio. This requires complementary management facilities to be added to the radio signal processing facilities present in traditional radios. Hierarchical and Distributed Cognitive Radio Architecture Management...
Computer science and computational engineering have enabled great advances in modeling and simulation to analyze various scenarios. Still, facilitating and enhancing situational awareness for a single human is rarely considered. Poor decisions by an individual encountering everyday challenges or public threat situations can have dramatic effects, both for the individual and others. In the presented...
When dealing with an elevated sensor number we may have to reduce our sampling time or the sensing features in order to achieve real time sensing. In this paper we propose a make use of the recently developed theory of Compressive Sensing to try and reduce the number of sensing as well as the sample size without loosing quality in our sampling for doing a good feature recognition.
We present a novel control architecture for execution of multiple tasks simultaneously. Traditionally, the task control architecture of a service robot has been focused on executing one task at a time. This has mainly been due to the history of mobility being the only function and tasks being so simple that just one or two abstract commands have been sufficient. During the last decade, these requirements...
A profound impact of the Web2.0 lies in its power to transform skilled users into service providers, resulting in more complex value networks. As recently traditional ??operated?? network infrastructure is complemented with huge amounts of connected smart objects (the Internet-of-Things), the same mass creativity can be made applicable to smart, context-enabled services with real-world interactivity,...
In the research of agent theory and technology, BDI model is the most studied one with the broadest applications. But it lacks specific mapping relationship research between BDI model and particular agent architecture. In this paper, we firstly establish abstract mapping between BDI model and agent autonomy, then stimulate human being autonomy mechanism, establish specific mapping relationship between...
Any architectural optimization aims at satisfying the end user. However, modern architectures execute with little to no knowledge about the individual user. If architectures could determine whether their users are satisfied, they could provide higher efficiency; improved reliability, reduced power consumption, increased security, and a better user experience. A major reason for this limitation is...
We describe our novel approach towards supporting situation management with a domain-specific instantiation of a general purpose framework in support of domain surveillance and control. The framework architecture integrates widely used implementations of IP packet networking and cellular telephony protocols, combined with rapidly emerging base of publicly available Internet group-enabled applications...
This paper proposes a generic control architecture for robot systems performing search and rescue operations. The multimodal attention is introduced as an important factor in the design and implementation of control architecture for robot systems. We also considered a reliable learning ability of robot system about an explored environment as another important aspect to increase the robustness of decision...
Emotional virtual humans are essential to e-learning software, they can act NPC characters to guide a user, and they can enhance the interests of human-computer interface. How to model emotion is an interesting topic in the field of e-learning software. Based on psychology theory, architecture of an emotional virtual human is presented, it integrates perception, action, emotion, behavior and other...
This paper presents a simplified architectural description for the urban surveillance experiment under development within the URUS project. The description contains two views in the computational viewpoint that are also applicable to other classes of network robotics problems. These are a functional layer through which the system has basis operational capabilities, and a human layer that concentrates...
This study shows that appropriate human interaction can benefit a swarm of robots to achieve goals more efficiently. A set of desirable features for human swarm interaction is identified based on the principles of swarm robotics. Human swarm interaction architecture is then proposed that has all of the desirable features. A swarm simulation environment is created that allows simulating a swarm behavior...
An architecture is proposed where the layers of cell that lie in front of the photosensitive cells of the human retina are interpreted to be estimators of the first and second order derivatives of the brightness of the imaged scene. Such an architecture bypasses the problems of estimating derivatives from sampled and digitised data, as they are estimated directly from the scene. It also offers an...
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