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This paper presents a location tracking system that improves its performance by mitigating the influence caused by the human body of the user being tracked. The presence of such a user will influence the signal path between a body-worn mobile device and a receiving node. This influence will vary with the user's location and orientation and, as a result, the performance will deteriorate. By making...
As well-developed social networking services collect rich location data of mobile users, it becomes interesting for measuring the mobility relationship strength. The state-of-the-art measure for such relationship is Personal, Global and Temporal factors (PGT) method, which calculates personal and global background in the spatial domain. We argue that meeting events differentiate from each other not...
Mobility prediction has recently attracted plenty of attention since it plays an important part in many applications ranging from urban planning and traffic forecasting to location-based services, including mobile recommendation and mobile advertisement. However, there is little study on exploiting the activity information, being often associated with the trajectories on which prediction is based,...
Mobile crowd sensing (MCS) is as a promising people-centric sensing paradigm which allows ordinary citizens to contribute sensing data using mobile communication devices. In this paper we study correlation between users' mobility and their role as contributors in MCS applications. We propose a new trajectory-based approach for task allocation in MCS environments and model participants' spatio-temporal...
Sensor localization is a fundamental and crucial problem in wireless sensor network (WSN). A few methods have been proposed to deal with this issue, while schemes with mobile anchors stand out, due to the characters of low cost, flexibility and high precision. One key issue of the anchor based scheme is path planning. Proper path planning can guarantee good coverage of the whole sensing field while...
When evaluating detectors and algorithms for nuclear threat detection in populated environments, introducing actual sources is usually neither feasible nor economical. It is more practical to move the detector, (which is either airborne, vehicle-borne, or human portable) through the test environment and then to later artificially superimpose either measured or simulated source signatures on the recorded...
With the development of Location Based Services (LBSs), both academic researchers and industries have paid more attention to GPS-less mobile localization on mobile phones. The majority of the existing localization approaches have utilized signal-fingerprint as a metric for location determinations. However, one of the most challenging issues is the problem of uncertain fingerprints for building the...
The main focus of this work is on the exploration of static trajectories. A new Optimized Route Planning for the Localization of Indoor Nodes from Outdoor eNvironment (OrLiOn) is introduced. Three building-aware trajectories, specifically Extended-Hilbert, Triangle and Z-trajectory are derived with the help of the introduced algorithm. Further, these trajectories are simulated and analyzed in terms...
Motivated by a vision for future global-scale services supporting frequent updates and widespread concurrent reads, we propose a scalable object-sharing system called WACCO offering strong consistency semantics. WACCO propagates read responses on a tree-based topology to satisfy broad demand and migrates objects dynamically to place them close to that demand. To demonstrate WACCO, we use it to develop...
To be safe, mobile multi-robots systems need to be able to adapt to unexpected behaviours of robots as well as to exogenous changes in the environment. In this paper, we describe a novel approach for the development of multi-robots systems where robots collectively collaborate with each other to satisfy their goals and to adapt their behaviour in a collective way satisfying the overall system safety...
The number of mechanical degrees of freedom (DoFs) within rehabilitation robots directly influences the scope of the movements that a subject can perform when training walking. Currently, gait rehabilitation robots have a limited number of mechanical DoFs, as a consequence this limits the movements these robots can make possible. In this paper, the novel gait rehabilitation system CORBYS is presented...
In this paper we present a novel approach to detect people meeting. The proposed approach works by translating people behaviour from trajectory information into semantic terms. Having available a semantic model of the meeting behaviour, the event detection is performed in the semantic domain. The model is learnt employing a soft-computing clustering algorithm that combines trajectory information and...
In the study of opportunistic network, the design of mobile model directly affects the architecture of opportunistic network and the efficiency of routing algorithm. On the discussion of human movement characteristics, this paper analyzed the characteristics of students' movement in campus environment and presented a campus mobile model based on periodic purpose, Periodical-Purpose Campus Mobility...
In this paper we perform an analysis of human behaviour for people standing in a queue with the aim to discover, in an unsupervised way, ongoing unusual or suspicious activities. The main activity types we focus on are detecting people loitering around the queue and people going against the flow of the queue or undertaking a suspicious path. The proposed approach works by first detecting and tracking...
An infinite canvas allows users to author or draw at any co-ordinate in a two or three dimension space. The authoring can be singular or collaborative i.e. remote users can simultaneously create content in real-time. In case of collaboration on an infinite canvas, a user may receive unrelated actions performed on another viewport which are not visible to him/her. This floods the network with unused...
This paper addresses the problem of adaptive stabilization control and consensus control of diffusion system based on mobile multi-agents. Multi-agents triggered by events are integrated into diffusion system using self-measurement and neighbors information. Lyapunov redesign method is used to analyze adaptive feedback gain and consensus gain, and induce every agent trajectory. Then automatic guidance...
In recent years, the wide usage of GPS-enabled devices has generated vast volumes of spatio temporal streams of location data, which raising management challenges, such as efficient storage and querying. Therefore, compression techniques are inevitable also in the field of moving object databases. In this paper, we propose a line simplification technique to compress moving object trajectories, which...
This paper suggests the study for the process of planning and capturing the optimal trajectory by the mobile robot in order to efficiently capture mobile sound sources. The sound sources are released and moved by using the mobile robot. The mobile robot is equipped with a microphone array, which makes it possible to obtain the location and direction of the mobile sound sources. For the capturing process,...
A method of planning sub-optimal trajectory for a mobile manipulator working in the environment including obstacles is presented. The robot's task is to move the end-effector from a given initial to a final position in the workspace. The motions are planned in order to maximize a manipulability measure to avoid manipulator singularities. Control and mechanical constraints are taken into consideration...
Recently, tele-operated robots have been engaged in the search and rescue of victims in disaster areas, but operation of the rescue robots has proven to be excessively complex. One reason for this is that an operator has to operate the mobile platform and the manipulator of a rescue robot simultaneously, for example, when the operator finds a victim. In this study, a control method for a mobile manipulator...
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