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Vibration occurs in numerous important domains, such as the aerospace industry, and has negative effects since it can limit the life span of the devices, cause malfunctioning or even system instability. The necessity of research on vibration suppression in aeroplane wings is important from a scientific and technologic point of view: to provide better, more efficient, robust, cheaper solutions to eliminate...
With the development of modern technology, the practical systems become much more complex, smart actuators and sensors, such as piezoceramic and magnetostrictive material based ones, have widely been used in reality due to its variety of advantages. Therefore, nonlinearities, including not only the dynamical nonlinearity but also the non-smooth nonlinearities both in actuators and sensors, should...
Developing autonomous vehicles capable of dealing with complex and dynamic unstructured environments over large-scale distances, remains a challenging goal. One of the major difficulties in this objective is the precise localization of the vehicle within its environment so that autonomous navigation techniques can be employed. In this context, this paper presents a methodology to map building and...
The revolution of RGB-D sensors is advancing towards mobile platforms for robotics, autonomous vehicles and consumer hand-helddevices. Strong pressures on power consumption and system price requirenew powerful algorithms that can robustly handle very low quality rawdata. In this paper we demonstrate the ability to reliably recover depth measurements from a variety of highly degraded depth modalities,...
Every spectrum sensing technique aim at improving network throughput of Cognitive Radio Networks (CRNs) at reduced computational complexity. Recent wideband spectrum sensing schemes in literature suggest performing spectrum sensing over narrow subbands sequentially using Energy Detection (ED) or other narrowband techniques. Eigen Value Decomposition (EVD) of covariance matrix is generally used to...
Low-drift rotation estimation is a crucial part of any accurate odometry system. In this paper, we focus on the problem of 3D rotation estimation with dense depth sensors in environments that consist of piece-wise planar structures, such as corridors and office rooms. An efficient mean-shift paradigm is developed to extract and track planar modes in the surface normal vector distribution on the unit...
There is little argument that problem-solving is the crux of engineering. As engineering educators, we pride ourselves not only in developing technical experts, but in developing diverse thinkers and innovators ready to tackle the challenges of tomorrow. Arguably, the most critical point in problem-solving at this level is the ability to interact with a wide variety of information. It allows for understanding...
This paper discusses ‘InLoc’, an accurate and a robust positioning and tracking system using commercial mobile devices, with an integrated feature of route finding for the user from a source to the desired destination. The system exploits easily available building floor maps in raster form, with an easy conversion to vector model, eliminating the need of specially designed vector maps, thereby making...
In this paper, we investigate the limitation of existing STT-LUT designs and propose two new circuit styles of designing STT-LUTs that offer higher performance and robustness compared to the conventional STT-LUT design. The proposed styles include a Dynamic Single Rail (DSR) and a Dynamic Dual Rail (DDR) STT-LUT. The simulation results in a 16nm bulk CMOS technology shows that the proposed designs...
Spectrum sensing plays a critical role in cognitive radio. It autonomously detects the presence of primary users. If the primary users are absent, the spectrum holes can be assigned to secondary users. Different methods have been proposed and employed over the years including the covariance-based detection method. Since signal data generally resides in low dimensional spaces, a method based on a new...
Robust and prompt emergency response is a crucial service that smart cities should provide to citizens, communities, and corporations. Emergency management strategies that are currently supported by cities yield pre-determined protocols that can only handle well-understood incidents. However, there are incidents whose nature, shape, scale, and timing are not as predictable. The lack of adequate data...
Active control of pantograph could be performed to decrease the fluctuation in pantograph-catenary contact force (PCCF) in high-speed railway. However, it is difficult to obtain the states of the pantograph when state feedback control is implemented. And the measurements may randomly miss due to the severe operation condition of the pantograph-catenary system (PCS). To address this issue, a robust...
Recently, Wireless Sensor Networks (WSNs) have been employed in many real-world applications that greatly improve our life. Therefore, security in WSNs is a challenging task due to inheritance limitations of sensors and it becomes a good topic for researchers. In this work, we focus at secure hierarchical routing protocols in wireless sensor networks and represent selected approaches which focusing...
Cognitive radio (CR) has emerged as one of the most promising candidate solutions to improve spectrum utilization for future wireless networks. A crucial requirement for future CR networks is the ability to sense wideband spectrum. Recently, compressive sensing (CS) has been proposed as a solution to replace high speed analog-to-digital converters. CS enables sub-Nyquist sampling for wideband spectrum...
This work considers reconstructing a target signal in a context of distributed sparse sources. We propose an efficient reconstruction algorithm with the aid of other given sources as multiple side information (SI). The proposed algorithm takes advantage of compressive sensing (CS) with SI and adaptive weights by solving a proposed weighted 𝓃-ℓ1 minimization. The proposed algorithm computes the adaptive...
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Generation of optical frequency combs using Silicon-based photonics offers the potential for highly robust, compact, low-power devices for a wide range of applications in time and frequency metrology, sensing, spectroscopy, and communications.
In this paper, we present a novel unsupervised framework for change detection between two high resolution remote sensing images. Thanks to the use of local descriptors, the method does not need any image co-registration and is able to identify changes even with images acquired from different incidence angles and by different sensors. Local descriptors are used to both locally align images and identify...
Laser range finders are used in industrial safety and surveillance applications, e.g. to track persons. The relative position between two sensors is needed for the correct operation of such a system. In order to reduce costs, sensors are positioned to have minimal overlap while extending the combined field of view. The necessary calibration is often done in a time-consuming manual process. To automate...
Recently, RGB-D sensors such as Kinect and Xtion have received considerable attention since they provide depth image that is robust to light variation in the environment. They are mainly used for human computer interaction, surveillance and so on. In this paper, we concentrate on indoor human detection using RGB-D images. Some RGB image based features such as histogram of oriented gradient (HOG) and...
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