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Reliable spectrum cartography of directive sources depends on an accurate estimation of the direction of transmission (DoT) as well as the transmission power. Joint estimation of power and DoT of a directive source using ML estimation techniques is considered in this paper. We further analyze the parametric identifiability conditions of the problem, develop the estimation algorithm, and derive the...
Medical Cyber-Physical Systems (MCPS) refers to an interconnected, dependable and intelligent system of embedded medical devices used to monitor and control multiple aspects of the patients physiological state. These systems need to handle different type of data based on different types of sensors and other medical devices in order to understand the situation of the patient, make appropriate treatment...
We propose a novel method to present virtual food texture by using electrical muscle stimulation to the masseter muscle. In this paper, we describe our proposal system; “Electric Food Texture System” consisting of “bite detection part”, “food texture database”, and “electric stimulation part”. We used a photoreflector to measure motion of user's lower jaw for “bite detection”, electromyography sensors...
We cast the classic problem of achieving k-anonymity for a given database as a problem in algebraic topology. Using techniques from this field of mathematics, we propose a framework for k-anonymity that brings new insights and algorithms to anonymize a database. We focus on the simpler case when the data lies in a metric space which is instrumental in introducing the main ideas and notation. Specifically,...
Even though databases are currently favored in spectrum sharing scenarios, sensing is still needed. Spectrum sensing has a future in several existing and novel situations and applications. Those include crisis situations, local and indoor networks like wireless local area networks (WLAN) and battery-oriented applications like future intelligent Internet of Things (IoT). In this paper, the future of...
This paper investigates the generation of personal biometric data, encryption of data, and the storage of such data in a cloud based database. The data generator simulates the movement and action of an active person for detailed analysis in other projects. Included is a report on the performance of the data generator implementing different data encryption algorithms and storage in NoSQL document databases...
The Cognitive Radio (CR) is a fully-reconfigurable wireless device that can intelligently sense, manage, and exploit temporarily-vacant licensed spectrum bands during the absence of incumbent users. Broadly, the IEEE 802.22 is the first complete Wireless Regional Area Network (WRAN) standard that utilizes CR technology in the opportunistic access of white spaces in the television (TV) bands. Intrinsically,...
In this paper, we present a large-scale database consisting of low cost Kinect 3D face videos, namely Lock3DFace, for 3D face analysis, particularly for 3D Face Recognition (FR). To the best of our knowledge, Lock3DFace is currently the largest low cost 3D face database for public academic use. The 3D samples are highly noisy and contain a diversity of variations in expression, pose, occlusion, time...
Cognitive Radio Vehicular Ad hoc Networks (CR-VANETs) utilize CR technology to increase frequency bandwidth for vehicular communications. Cooperative Spectrum Sensing (CSS) exploits spatial and temporal diversity for fast and accurate detection of Primary Users (PUs). This paper provides an overview of CSS techniques for CR-VANETs. We review state of the art CSS techniques proposed in literature highlighting...
Any diagnosis procedure should be rapid and efficiency. In the presence of the noise and unknown inputs, the diagnosis procedure could generate false alarms. This paper focuses in the fault detection, isolation and identification when a fault affected the sensors of a DC motor worked in disturbance environment. The chosen technique should take account the two issues: the noise and the unknown inputs...
Accurate sensing of the spectrum is one of the prime requirements for efficient functioning of cognitive Radio systems. But accurate sensing is a complex process, as signals of different modulations, coding methods and power levels along with fading and noise are present in the given radio environment. Collaborative sensing techniques can help to improve the sensing accuracy. One such collaborative...
Location fingerprinting (LF) is an attractive localization technique which relies on existing infrastructures. The major drawback of LF is the requirement of having an updated fingerprint database. Gaussian Process (GP) is a non-parametric modeling technique which can be used to model the received signal strength indicator (RSSI) and create the fingerprint database based on few training data. In this...
Indoor localization is an important primitive that can enable many ubiquitous computing applications. This paper improves the scheme of landmark and inertial navigation through crowd sensing to address reliable and accurate indoor localization. The location of landmark can calibrate the location of user and inertial navigation can optimize the location of landmark in turn. In this work, we define...
This design is an application of enterprise energy monitoring system which is based on IOT. In order to design a remote energy monitoring system based on B/S structure, this application has used many kinds of technologies, such as digital instrumentation, communications networks, software, databases and so on, setting centralized management, decentralized control and remote monitoring as the goals...
In numerous IOT applications, large number of sensors and data receivers send information to server. The servers gather information that reaches huge amount in short time. In such cases, IOT applications can face the challenge of real time managing/displaying/extracting client useful information from the whole data stored on servers. Especially in critical situations, client's database query can take...
This paper introduces, and verifies the applicability of, a practical algorithm for creating 3D points clouds resembling objects, based on multiple RGB-D frames having been taken from different viewpoints, by the Kinect 2 camera. The experimental set-up is described, along with a certain variant of the process referred to as iterative closest point, being utilized for the latter purpose. Moreover,...
Wireless Sensor Networks (WSNs) are popular for their usage in various application like environmental monitoring because of their small size and ease of deployment. However, there is a considerable cost of owning and maintaining involved which might impede small to medium scale industries from availing their services. Even for large-scale industries, WSNs deployed and maintained with so much financial...
The biometric system stores physiological traits of user such as finger print, iris, palm, patterns of veins etc. Iris signcryption is the most successful way to improve the information security because iris consists of most accurate features compared to other authentication systems. In order to provide better security and less computational time lightweight cryptographic scheme called signcryption...
Precipitation (rain and snow) is a key geophysical parameter. Due the temporal and spatial variability it is vital to exploit all available data sources, and in particular all available passive microwave sensors. This paper concentrates upon the development of a physical retrieval scheme to obtain precipitation estimates from cross-track passive microwave sensors (a.k.a. ‘sounders’). Initial studies...
A large number of real-world observations by social sensors all over the world can be obtained from various social networking services. Especially, observations covering miscellaneous areas of interest are posted to Twitter as short text messages. Our goal is to extract a wide range of observations related to the target of interest specified by the user from Twitter regardless of their popularity...
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