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.
The fusioning of data from unreliable sensors has received much research attention. The main stream of research assesses the reliability of a sensor by comparing its readings to the ground truth in an online or offline manner. For instance, the Weighted Majority Algorithm is a representative example of a large class of similar legacy algorithms. Recently, some advances have been achieved in identifying...
In this paper, we present a flexible ability selection mechanism to realize cooperative task execution based on ontology reasoning techniques. We prepare an ability ontology as meta-data of agentsf behaviors, and also present a mechanism that agents can flexibly select behaviors from agentsf current abilities using inference-enabled SPARQL endpoints. Agentsf behaviors are managed by their own goals...
A record of food intake contains information that is useful for health care. We propose a new method for obtaining food intake data using intra-body communication. In this system, a transmitter is attached to each dish, and signals are sent to a receiver via dishes, food, and cutlery; the human body is the medium connecting the transmitter and the receiver. A receiver can detect the moment when the...
The large-system decoupling property of a MAP estimator is studied when it estimates the i.i.d. vector x from the observation y = Ax + z with A being chosen from a wide range of matrix ensembles, and the noise vector z being i.i.d. and Gaussian. Using the replica method, we show that the marginal joint distribution of any two corresponding input and output symbols converges to a deterministic distribution...
In [1], [2], two schemes have been proposed to recover the support of a K-sparse N-dimensional signal from noisy linear measurements. Both schemes use left-regular sparse-graph code based sensing matrices and a simple peeling-based decoding algorithm. Both the schemes require O(K logN) measurements and the first scheme require O(N logN) computations whereas the second scheme requires O(K logN) computations...
In this paper we study a wireless passive sensor network. The sensors are deployed to estimate the true values of multiple active target signals. The sensors forward their observation to a fusion center, which processes the observation of each sensor by a set of fusion rules. One achievement of this paper is proposing an unbiased estimator with minimized variance of errors. To do so, we optimize both...
This paper regards a network of wireless passive sensors, suitable for radar applications. The network observes multiple number of target signals to be estimated. We propose an unbiased estimator whose error is minimized by optimizing both the power allocation at sensor nodes and the fusion coefficients at the fusion center. Since the underlying optimization problems are subject to both the individual...
The sign language translator is a bridge between those who comprehend sign languages and those who do not which is the majority of humanity. However, conventional signa language translators are bulky and expensive, limiting their wide adoption. In this paper, we present a gesture recognition glove based on charge-transfer touch sensors for the translation of the American Sign Language. The device...
As distributed systems such as automotive, medical, manufacturing automation become larger and more complex, it is difficult to test these systems. Also, the synchronization of distributed applications make the testing more difficult. In the Software-in-the-Loop (SiL) simulation, a synchronization method among clock of applications is provided for virtual hardware devices and environment. A typical...
In this paper, Cosine Modulated Filter Bank (CMFB) is designed using Kaiser Window exploiting spline function in transition bandwidth of prototype filter with defined stopband attenuation and channel overlap for spectrum sensing application in Cognitive Radio (CR) systems. A closed form method is used for the designing of CMFB in which passband edge frequency is optimized. Received signal is sensed...
In this paper, rotor position and speed estimation method using hall-effect sensors for low-cost vector controller design is presented for Permanent Magnet Synchronous Motor (PMSM). Sensorless control and self-learning implementation was also realized based on theoretical analysis. Experimental results verified the feasibility of the proposed control strategies.
In this paper, we present an effective method to track diffusion of contact-induced disease at individual level, by utilizing both social interaction data captured by social sensors and limited symptom data reported by probe volunteers in a social community. Our method is effective, as demonstrated by experiments on a large synthesized dataset covering 1,300 people.
A Wireless Sensor Network (WSN) is a field of interest for researchers due to its monitoring capability and giving the information which helps in predicting the future scenarios like in health care system, monitoring or tracking etc. Sensor nodes are very small and powerful devices which are continuously sense the data and send it to the base station (Sink) which generates the results based on the...
WSN consists of small sensor nodes with a set of processor and limited amount of inbuilt memory units for purpose of sensing various types of relevant data from any specific region of environment. Some important applications of WSN are military, machine surveillance, preventive maintenance, disaster relief operations etc. In this type of network, routing is a little bit more complex as compared to...
ZigBee is a standard for wireless sensor network and Internet of things based on IEEE 802.15.4 low-data rate wireless network standard. Operations of a ZigBee network tightly depend on the self-organizing network joining among ZigBee coordinator, routers, and end devices. The network configuration parameters and distributed address assignment mechanism defined in ZigBee specification will cause the...
Cognitive radio technology is a new network technology that aims to utilize unused or rarely used spectrum bands efficiently. The main objective of cognitive radio networks is that secondary users sense the frequency band with available spectrum detection techniques and utilize unused parts of the spectrum. While secondary users use the empty spectrum bands; if primary users want to use their own...
In this work, a new approach is proposed to solve cooperative localization problems in wireless sensor networks for both one-hop and multi-hop cases. To find the unknown positions of randomly distributed sensors with limited power and communication ability, noisy inter-sensor distances and anchor node positions are used. In a plane, when the distances between a sensor and at least three neighbor anchors...
Wireless sensor networks (WSN) are widely used to sense and measure physical conditions for different purposes and within different regions. However due to the limited lifetime of the sensor's energy source, many efforts are made to design energy efficient WSN. As a result, many techniques were presented in the literature such as power adaptation, sleep and wake-up, and scheduling in order to enhance...
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.