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Soil moisture plays an important role in agriculture, hydrology, and land-atmosphere processes. Over the years, there has been a scale gap between traditional point-scale sensors and large-scale soil moisture products from satellite remote sensing. Recent advances suggest the use of cosmic-ray sensors (CRS) that provide integrated soil moisture at subkilometer scale (∼300m radius and 10 to 70cm depths)...
A major limitation of mobile Crowd Sourcing (CS) applications is the generation of false (or spam) contributions due to selfish and malicious behaviors of users, or wrong perception of an event. Such false contributions induce loss of revenue through disbursement of undue incentives and also negatively affects the application's operational reliability. In this work, we propose a reputation model,...
In this paper, a problem of robust fault detection for uncertain networked control system (NCS) including random data packet loss is investigated. This NCS is established as a stochastic system with norm-bounded uncertainty, in which the stochastic variable is followed by Bernoulli distribution. Then, a robust fault detection filter (FDF) is designed based on the observer method, which is obtained...
This paper presents an analyzing on the prediction of a primary signal in cognitive radio networks using a hybrid algorithm based on two parts, know as: an alpha-beta filter and a neyman-pearson (NP) detector. Today, it is important to predict a primary signal in a cluttered environment and especially when the secondary user (SU) is moving. However, the challenges of this contribution are based on...
In this paper we consider the broadband-narrowband coexistence scenario where the unused spectral gaps in the professional mobile radio (PMR) frequency band are used for broadband data communications. Spectrally confined filter bank based multicarrier (FBMC) waveform is applied for broadband transmission in order to minimize the interference leakage between the new broadband system and the legacy...
In this paper, a method to calculate the probability of lightning attaching in an area-of-interest of any polygonal shape and based on Lightning Location System (LLS) data is described. The calculation is based on previous work in which the equations necessary for calculating the probability of lightning attaching in an area are described. By combining this approach with some of the techniques used...
This paper describes the design and setup of different measuring systems for the calibration of commercial voltage and current transformer test sets for non-conventional instrument transformers. The calibration systems are recently developed at the national metrology institutes VSL, PTB, METAS and TUBITAK within the frame of the European project “FUTURE GRID — Non-conventional voltage and current...
Autonomous mobile robots use vision sensors for navigation due to its ability to provide detailed information of the environment. Visual perception of an environment, is an important capability for mobile robots, so many efforts are leading the research community for such a fundamental and challenging task. An aspect to emphasize is that vision systems have to cope with uncertainty because sensors...
This paper focuses on developing new navigation and reconnaissance capabilities for cooperative unmanned systems in uncertain environments. The goal is to design a cooperative multi-vehicle system that can survey an unknown environment and find the most valuable route for personnel to travel. To accomplish the goal, the multi-vehicle system first explores spatially diverse routes and then selects...
Active magnetic bearings (AMBs) provide a new proper solution to the high-performing rotating equipment. The active controlled electromagnetic forces of AMBs levitate the rotor without any contact with the stator. The advanced controller design is one of the hot issues associated with AMBs. This paper deals with the application of μ synthesis to the control of AMBs. The parametric uncertainty of the...
This paper investigates the leader-follower tracking control problem for non-holonomic mobile robots based on fuzzy controller based approach. The trajectory tracking control for a single mobile robot is extended to the formation control for multiple mobile robots. This paper proposes for enhancement the follower performance, interval fuzzy type-2 controller is used. By taking the simulation and simple...
Blade Tip Timing (BTT) is considered a promising technique for characterizing blade vibration in which non-contact timing sensors are used to measure the arrival time of the blade passing each sensor. For vibration features extraction from BTT measurement, rotational speed is a key factor. In current researches, the vibration parameters are usually identified on the assumption of steady rotational...
This paper examines the potential impacts of remote sensing, hyperspectral target detection from a physics-based modeling point of view. Often (atmospherically compensated) data is simply handed off to algorithm developers with the assumption that the data they are given accurately represents what transpired at the time of collection. In this paper, we discuss the various steps involved in processing...
This paper presents the design of double closed-loop security control structure. This structure is divided into two parts. First of all, sensor-controller-actuator loop completes the transmission of control signal output and measurement signal feedback. During the transmission process, the effects of uncertainties, perturbations, faults and attacks are coupled. Further, controller-detector loop is...
The advent of widely available photo collections covering broad geographic areas has spurred significant advances in large-scale urban scene modeling. While much emphasis has been placed on reconstruction and visualization, the utility of such models extends well beyond. Specifically, these models should support a wide variety of reasoning tasks (or queries), and thus enable advanced scene study....
Robust belief revision methods are crucial in streaming data situations for updating existing knowledge (or beliefs) with new incoming evidence. Bayes conditioning is the primary mechanism in use for belief revision in data fusion systems that use probabilistic inference. However, traditional conditioning methods face several challenges due to inherent data/source imperfections in big-data environments...
In this study, we propose a crowd sensing framework with the existence of execution uncertainty and a given budget. Our framework consists of three stages: Task Selection, Task Allocation, and Payment. Within each stage, we define the design problems and give a preliminary solution with desirable theoretic properties.
The problem of joint sequential change detection and isolation in a multichannel system is considered. It is assumed that a disruption occurs at some unknown time, and changes the distributions of the observations in an unknown subset of channels. The problem is to quickly detect the change, and at the same time to reliably isolate the affected channels. A novel scheme is proposed for this task, which...
Mobile crowdsensing has emerged as a promising paradigm for data collection due to increasingly pervasive and powerful mobile devices. There have been extensive research works that propose incentive mechanisms for crowdsensing, but they all make the assumption that mobile users will positively complete the allocated sensing tasks. In this paper, we consider a new and practical scenario of crowdsensing,...
Human activity recognition (AR) is an essential element for user-centric and context-aware applications. While previous studies showed promising results using various machine learning algorithms, most of them can only recognize the activities that were previously seen in the training data. We investigate the challenges of improving the recognition of unseen daily activities in smart home environment,...
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