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Mobile phones or smart phones equipped with different communication technologies and sensors have become pervasive application development platform for opportunistic and human-centric sensing. Optimisation of battery energy consumption and opportunistic sensing coverage are important issues under mobile phone sensing. This paper proposes a simple sampling algorithm based on human-walk velocity for...
In this paper, cognitive secondary users (SUs) are taken into account to cooperate for messages information transmission without a data center using Belief Propagation — based framework (BP). We also exploit generalized belief propagation (GBP) to simulate individual marginal distribution of SUs in random topology networks with loops. Simulation results indicate that BP gives a substantial gain of...
In this paper we present a novel approach for the estimation of metric velocities and metric distances to landmarks utilizing monocular images and inertial measurements only. The proposed algorithm is based on an Extended Kalman Filter and is closely related to the well known Simultaneous Localization and Mapping (SLAM). In contrast to standard SLAM formulations the state of an agent is expressed...
Spectrum sensing is a primary requirement in cognitive radio systems. In order to improve the spectrum efficiency and facilitate the unlicensed mobile users to use the empty licensed radio frequency band of the electromagnetic spectrum, the spectrum sensing techniques should be more accurate and reliable. In this paper, the disadvantages of basic transmitter detection techniques are discussed, and...
Autonomous robots must be able to localize themselves in an environment. We are interested in the real time pose estimation of a single surveillance robot based on the Odometry algorithm and Dead Reckoning using Inertial Measurement Unit (IMU) sensors. This approach is subjected to accumulated errors due to slippage and drift respectively. Algorithm proposed in this paper uses Trilateration with Extended...
This paper proposes a modified communication protocol that uses the knowledge of channel states to transmit packets. It shuts off the energy expensive acknowledgement operation during good channel state while uses all its retransmission attempts in bad channel state to deliver the packets through the channel. The impact of this protocol has been directly studied on the coin cell batteries that are...
Pedestrian dead reckoning plays an important role in indoor pedestrian localization applications. Although this approach has a notable advantage that no extra infrastructure is required, it also suffers an issue known as the drift, which means the estimation errors accumulate and ultimately may make the result unreliable. In this paper, we propose a circular inference method applying online learning...
In this paper we employed Winner Take All (WTA) circuit for sensing the bit line capacitance. It is an important block in hardware realization of neural networks. The property of a neural logic of selection of the highest intensity signal amongst competing signals highly fits for our design of amplifying the voltage difference between bit lines quickly. A comparative study is done to show the better...
Efficient coverage and energy conservation are two of the primary concerns for area coverage applications of randomly deployed wireless sensor networks. This paper developed a distributed algorithm using range adjustable sensors for maintaining the full coverage of such sensor networks. The algorithm contains two major parts: the first part aims at providing 100% coverage and the second part aims...
Nowadays, processes which contain interacting liquid and gas phases are very common. For this reason this type of fluids have an important role in technology-based applications. So further and through investigations and an application-oriented knowledge desperately needed. Determining two-phased fluid flow is one of most challenging concepts dealing with these fluids. Common methods for measuring...
Vision based observation of a moving target is one of the important problems and hot issues of mobile robot system. Dynamical vision sensors which is constituted with multiple robots to obtain improved observational results has been shown to be a good substitution of single vision sensors. Thus, a new active cooperative observation (ACO) method based on two dynamical vision sensors is proposed. The...
A novel method is proposed for the calibration of a camera - 3D lidar pair without the use of any special calibration pattern or point correspondences. The proposed method has no specific assumption about the data source: plain depth information is expected from the lidar scan and a simple perspective camera is used for the 2D images. The calibration is solved as a 2D-3D registration problem using...
In this study, our goal is to develop an algorithm for selecting most appropriate attributes of CAN (Controller Area Network) bus data in association with Uphill/Downhill road detection problem. In turn, drivers are made aware of Uphill/Downhill situations on steering wheel. In a sense, drivers are enabled to have optimal driving performance for roads at different slopes. Initially, the system collects...
This paper develops a motor function recovery exercise device to perform intensive repetition of facilitation exercise for motor functional recovery of the hemiplegic fingers. On the facilitation exercise, active finger expansion can be realized and facilitated by stretch reflex. When the figer is being flexed passively, a stimulation tapping is applied instantaneously on the finger for making strech...
Pressure ulcer is a major problem for bed-bound and wheelchair-bound individuals specially in regions like sacrum, buttocks, hip, heels, back and head. Once developed, it is extremely uncomfortable and costly. Identification and monitoring of high-risk regions and their pressure distributions help nurses to have information about risk in each specific area of body and reposition patient efficiently...
With the increasing number of mobile Apps developed, they are now closely integrated into daily life. In this paper, we develop a framework to predict mobile Apps that are most likely to be used regarding the current device status of a smartphone. Such an Apps usage prediction framework is a crucial prerequisite for fast App launching, intelligent user experience, and power management of smartphones...
Because of its comprehensive and flexible sporty performance, omni-directional mobile platform is widely used in industrial production, daily life as well as military fields. Disposed on four terminals of the vehicle body, each wheel's movement is controlled by an independent motor respectively. In this paper, we provide a structural analysis and motion resolving solution to the platform based on...
Studies in Dynamic Spectrum Access often consider aspects of primary communication in their schemes. However, the primary spectrum access modelling is generally over simplistic. This paper considers a realistic modelling of the primary traffic and list a series of parameters that should be considered during spectrum reuse. By modelling primary and secondary communications, a better understanding of...
The multi-Bernoulli filter is a promising method for computationally efficient and accurate multi-target tracking. Computationally tractable approximations of the multi-Bernoulli filter equations for superpositional sensors were recently derived. In this paper we present a particle filter implementation of these approximate update filter equations. We describe how the filter could be employed to address...
This paper explores using a rapidly tuned, narrowband device as an analog-to-information converter (AIC). This concept is applied to a rapidly tuned, instantaneously narrowband antenna. Such a setup is advantageous in cognitive radio, where an antenna designed for communicating over a portion of the spectrum may be used to meet the wideband spectrum sensing requirement. A method for reducing the bandwidth...
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