Visual object tracking is one of the hottest and challenging research topics in computer vision. Due to its great potential for a wide range of real-world applications, many researchers endeavor to solve the problems in visual object tracking including illumination change, background clutter, crowd scenes, low resolution, and occlusion. This paper aims to investigate the state-of-the-art trackers to have a deep insight into the trackers for future research. First, three current research trends of visual object tracking are presented. Second, the fundamental concepts, intuitions, development, and contributions of the representative trackers in each trend are summarized.
Aligned with the UAE Space Strategy 2117, which aims to establish the first inhabitable human on the Martian Surface by 2117, with the enthuse toward space tourism, we propose a novel framework to assimilate the process of requirement specification for space Manned Mission. Deep Space manned missions are unique and characterized with a set of specific requirements that should be elicited from different sources and stakeholders to ensure the missions' success. In addition, these missions are highly dependent on the software components, which is used to control the spacecraft and interact with the astronauts. Our contribution consists of: (i) surveying current trends in space system requirements engineering from requirements elicitation to requirements specification; and (ii) introducing a new set of requirements for CDHS in space missions that are related to astronauts, particularly emotional requirements for deep space manned missions, which to the best of our knowledge have not been considered.
Cardiovascular disease (CVD) is the leading cause of premature death and disability worldwide. Effective Cardiac Rehabilitation (CR) could significantly improve mortality and morbidity rates in CVD patients; their CR uptake and adherence, however, are very low. Hence, a personalized home-based CR program, namely Care4MyHeart (C4MH), is presented here, to address such issue. C4MH incorporates a smart gamified platform that uses Personalized Serious Game Suite (C4MHPGS) to assist the CVD patients in their CR program. C4MHPGS employs gender and age specific CVD serious games related to exercise ('Exergames'), diet ('DietaryGames'), emotions ('EmoGames'), stress/smoking management ('Breathing/Stress- SmokeFreeGames') and personalized feedback (both to the user and to the related physician) associated with behavioral change support. Through employing machine learning and modeling techniques, the C4MH-PGS can provide a dynamic platform that normalizes technology to the CVD patients' needs, helping them to better self-manage their CR and, hence, their quality-of-life.
In this paper, a new multiport DC-DC converter is proposed for DC Microgrid applications. The bidirectional buck-boost structure of the proposed topology allows enhanced flexibility to connect sources and loads with different voltage and power levels. The control strategy is developed to achieve power control for renewable sources such as PV, in addition to a certain degree of resilience for DC sources availability maintaining boosted DC link voltage. A detailed steady state analysis is conducted to derive voltage relations between all ports. This proposed configuration has several benefits for the design and operation of DC microgrids such as reducing multiple power conversions, reduced number of elements, voltage boosting capability, and higher efficiency. A MATLAB/Simulink based simulation study is conducted to demonstrate the performance of proposed multiport converter topology under different operating conditions.
Researchers are motivated recently to generate power using renewable resources especially wind energy. Induction generators are one of the most preferable machines that can be used to extract electrical power from wind. In our research transient performance of double-fed induction generators during abnormal conditions including internal faults has been studied using the EMTP-ATP simulation tool. To validate our simulation results a practical model of a self-excited induction generator which acts as an activated crowbar double-fed induction generator connected mechanically with a variable speed dc motor as a prim-mover has been built. The National Instruments interface card USB-6009 with LabVIEW software is used to extract voltage and current signals from voltage and current transducers. The proposed research work presents a good overview of the internal fault behavior of induction generators with different types of faults.
We describe a silicon photonics-based fabrication tolerant Wavelength Division Multiplexing (WDM) filter with cascaded Mach-Zehnder Interferometers (MZIs), using wavelength independent couplers (WICs). 3D Finite Difference Time Domain (FDTD) simulations show broadband device operation with a spectral shift per waveguide width offset of 6.3 pm/nm which. This offers a fabrication tolerance improvement of over 100 times compared to a standard MZI based WDM filter.
We propose apodized Distributed Bragg Reflector (DBR) bends that offers state of the art performance and compact (0.0024mm2/ch) 4 channel cWDM filter. It is compatible with the most advanced CMOS photonics technology. Simulations show -39 dB sidelobe suppression, -32 dB cross-talk, and -0.05 dB insertion loss for an optimized device configuration.
A multi-objective criterion for tuning a PD controller for satellite attitude control is proposed. The proposed criterion optimizes both the transient response and energy consumption of the system. It is shown via simulations that the multi-objective criterion surpasses the single objective ITAE criterion. The consideration of the energy consumption sets an upper bound to the optimization problem resulting in more practical controller gains.
In recent years, electric vehicles are gaining popularity over conventional internal combustion engine driven vehicles as electric vehicles have better control, less noise, low air pollution, compact size and better efficiency due to regenerative breaking. In this paper, two Open-End Winding Induction Motors are used in Differential 4 Wheel Drive topology, with four 2-level Voltage Source Inverters powering the two motors. Each side of the motor is powered through an inverter, resulting a 3-level inverter output. An improved 7-level Direct Torque Controller is used to control the switching states of the four inverters with the aim of reducing the torque ripples while achieving a stable normal operation and fault tolerant operation. The necessary models are developed, and the proposed scheme is verified through simulations.
Brain-inspired architectures gain increased attention, especially for limited resources edge devices to perform cognitive tasks. The hyperdimensional computing (HDC) paradigm is an emerging framework inspired by an abstract representation of neuronal circuits' attributes in the human brain. HDC has shown promising results for 1D applications, such as text classification, utilizing less power and lower latency than convolutional neural networks (CNN). Hence, in this paper, HDC is analyzed in terms of accuracy for image classification tasks. The paper reveals for 2D applications, HDC can achieve an adequate performance utilizing only 16 % of the training dataset.
