Miracle-dz/UniFAR-FTUs huggingface dataset:
A SoC-based acceleration method for UAV runway detection image pre-processing algorithm

Runway detection algorithm is the foundation for ensuring the effectiveness of vision based Unmanned Aerial Vehicle (UAV) autonomous landing, which accomplishes landing site perception through large number of images. Considering the real-time demand of fixed-wing UAV landing and the onboard constraints, the image pre-processing system designed in this paper is built on Zynq-7000 platform. After optimizing image scaling algorithm and saliency analysis algorithm based on frequency domain residuals, IP cores are generated via Xilinx’s Vivado HLS tool for specific modules of the algorithm and added to the image pre-processing system under the SoC collaborative architecture. This architecture combines both advantages of both FPGA and ARM, with parallel processing and subsystem control capabilities. The experimental results verify the SoC collaborative acceleration based onboard runway detection system for UAV landing can process up to 20 frames per second, which is nearly 20 times faster than ARM.
Hybrid Solution for Enhanced Energy Harvester from Torsional Vibration

Kinetic energy harvesting arouses practical interest for wireless sensor nodes and autonomous or quasi-autonomous measurement systems. In particular, motion and vibration present potential energy sources and, by using a suitable transducer, a mechanical to electrical conversion can be pursued. The most common approach concerns a linear/nonlinear oscillator able to collect energy by using a mass-spring-damper architecture (i.e. cantilever resonator, bridge structure, etc.), suitable to work along a preferential axis. Very often, in real-world applications, the motion also appears as angular displacements and rotating vibration manly focalized at low frequency, less than 100 Hz (i.e. motion induced by human body, fluid movements, vortices, etc.). Several solutions have been presented in literature, mostly based on frequency up-conversion to increase the performance of the device and complex solutions. The aim of the present paper is to describe a comprehensive strategy for efficiently harvesting energy from torsional motion, a hybrid solution has been pursued to increase the performance of the entire system. The device is able to work also in presence of very low frequency sources, it can operate over a broad range of frequencies, and it is able to operate in non-resonant condition with a self-rectified output voltage. A prototype has been designed, fabricated and an experimental characterization campaign has been also accomplished to collect the measures needed to demonstrate the validity of the proposed technique.
Technological Capacity Building through the Establishment and Management of Technological Organization in Developing Countries: A Case Study of Nepal Technology Innovation Center in Nepal

The technological capacity building is one of the critical factors for the national development in developing countries. Especially, the establishment and management of relevant technological organization is a prerequisite for the technological capacity building in one's nation. In developing countries, not like developed countries, there are more factors to consider in the establishment of technological organization such as governance issue and sustainability. In this paper, the case of National Technology Innovation Center in Katmandu University, which is supported by Korean International Cooperation Agency, is analyzed. In the technology transfer related literature, it is argued that the absorptive capacity and transfer capacity are important in external technology learning and commercializing process. The case study shows that the absorptive capacity of developing country and transfer capacity of donor country are important as noted in the literature. In addition, the willingness to learn from the recipient organization is also critical in utilizing foreign technological aids. Even the study of one country case is not enough, it will give some practical knowledge to understand the establishment of technological infrastructure in the developing countries.
Evaluation of Long Term Effect of Cold Atmospheric Plasma on Titanium Implant Materials

The aim of the present study is to determine the long term effects of the Cold Atmospheric Plasma (CAP) treatment on the Grade 5 Titanium(Ti) implant surface at different storage conditions. After CAP application, Ti discs were stored in room conditions, in saline and an inert ambient, then contact angle and surface roughness measurements were done. Discs were stored using accelerated aging test for 1 month, 3 months, 6 months, 1 year and 2 years and measurements were made at the end of these time points. Optical Emission Spectra (OES) measurement was performed to determine plasma generate species during CAP application. OES shows that OH and NO generated. As a result of contact angle measurements, showed that the samples stored in saline were capacity of preserving hydrophilicity for an extended period of time compared to the samples stored in room condition, inert ambient. Surface roughness measurements with a profilometer showed no difference in surface roughness compared to the control group (untreated Ti) in plasma-treated groups.
A Novel Wavelet Thresholding Method for Vibration Data Denoising and Diagnostic Feature Enhancement in Condition Monitoring

Data denoising is essential to extract meaningful information and enhance diagnostic features in condition monitoring (CM). Hence, many techniques have been proposed for vibration data denoising. However, manual techniques require well-skilled labourers who will increase the cost of the monitoring process and may not always be available at the site. Denoising in the transformation domain using wavelets by thresholding has attracted researchers in recent years and been shown to be more effective than conventional filtering methods. However, estimation of the threshold value that can effectively suppress the noise has always been a hot research topic. One of the most promising approaches is to automate the process using adaptive and optimization methodologies. A new denoising method is proposed based on adaptive wavelet coefficients thresholding: a thresholding function is constructed, it adopts an adaptive procedure to estimate the initial threshold value based on the energy distribution of the signal; then the optimization procedure is adopted and the optimal threshold is selected through an iterative procedure by maximizing the harmonic-to-signal ratio (HSR). The new method is applied to both simulated data and real datasets collected from a defective tapered roller bearing and it is found that the proposed method increases the signal-to-noise ratio (SNR) significantly without distorting the signal when compared to benchmark thresholding methods.
A restarting paradigm for a Range-Only SLAM algorithm using the phase of passive UHF-RFID signals

Sensors based on the phase-shift of UHF-RID signals provide sharp but ambiguous tag-reader distance measurements. Despite the ambiguity, Range-Only SLAM algorithms, suitably modified, have been adopted in previous works to obtain satisfactory solutions to the SLAM (Simultaneous Localization and Mapping) problem. The performance is often comparable to the one achieved using unambiguous range sensors with similar precision (e.g. laser). However, the cycle ambiguity of phase measurements can deteriorate the performance of the algorithm and, in some cases, can even lead to divergence. In this paper we present some ideas to overcome this problem by introducing a restarting paradigm. This requires the definition of a diagnostic module, in charge of understanding if the filter is diverging, and of a restarting procedure, for a (partial) reinitialization of the estimation process.
Compact Four-Element Phased Antenna Array for 5G Applications

This paper presents a four-element compact phased Planar Inverted-E Antenna (PIEA) array for 6 GHz beamforming applications. For compact phased arrays, the mutual coupling is a severe performance degrading factor. Therefore, three mutual coupling reduction techniques are employed, which include (i) PIEA as an array element which is a modified version of Planar Inverted-F Antenna (PIFA) by inserting another shorting plate, (ii) slots in the ground plane and (iii) two slits in each etched ground slot. With these techniques, the mutual coupling is reduced below −19 dB in the operational bandwidth from 5.7 to 6.4 GHz. The compact design with an inter-corner spacing of <inline-formula> <tex-math notation="LaTeX">$0.013\lambda _{\mathrm {o}}$ </tex-math></inline-formula> and an inter-element spacing of <inline-formula> <tex-math notation="LaTeX">$0.3\lambda _{\mathrm {o}}$ </tex-math></inline-formula> is achieved. The peak gain obtained by this compact phased array is 8.36 dBi. This array can scan up to a maximum scanning angle of ±70°. A good general agreement is found between the measured and simulated results.
Simulation of Harmonic Analysis, Synthesis and Gibbs Effect of Periodic Signals

In reconstruction of a periodic signal from its harmonic contents, even at a higher resolution the signal shows Gibbs ripples at discontinuities. This work presents two important concepts including simulation and modeling of Fourier decomposition and Reconstruction of various types of 1D periodic signals and presence and removal of Gibbs ripples using time domain filtering with window method. Several one dimensional periodic waveforms are decomposed into thousands of components and reconstructed. Waves those show Gibbs ripple, are then shown to display reconstruction at different levels of partial sum. Such waves are then being treated to remove Gibbs ripple. The filter design is simply based on spectral analysis of original, reconstructed and residual signals. Compared to available techniques the filtering technique is easy and simple and works good.
Adaptive Sliding Mode Control of Power System with Photovoltaic Generator

The increased penetration of renewable energy sources to the grid has been proved to affect both the steady state performance and the transient stability of the power system. For instance, the bus voltage magnitudes, the relative rotor angle and synchronism are the most affected system parameters during transients in the system with high penetration of photovoltaic (PV) sources. The aim of this paper is to elaborate, using sliding mode technique, an adaptive nonlinear controller that stabilizes the closed loop system whatever the penetration of PV energy sources and without resorting to the measurement of electrical power. The controlled system consists of a synchronous generator (GS), a photovoltaic generator, and an infinite bus corresponding to a large system to which the two generators are connected. It is shown, using formal analysis and simulation results, that the proposed controller achieves all the control objectives, mainly: i) tight regulation of the phase angle of the GS voltage for the infinite bus voltage, ii) good estimation of uncertain parameter, and iii) asymptotic stability of the closed loop system.
An Agent-Based Model Applied to Brazilian Wind Energy Auctions

This article, for the first time, adopts the agent-based model simulation technique to analyze the pricing process of energy in the Brazilian electricity market (auctions). Within this model, it is possible to analyze how the energy price is affected when a government intervention is observed through the increase in number of public companies participating in the auctions. In this paper, auctions of new and reserve energy of wind power are simulated. Through this model it is possible to compare the choice of bids from participating sellers in the auctions, categorized in two different groups: public and private companies. The agents (sellers) participate in the auctions by learning from the historical and simulated auctions that is regulated by the Brazilian government. Learning is performed through the usage of a variation of the Q-learning algorithm, which provides the sellers the optimal price-bid considering the conditions presented, which means that this price-bid will provide them the maximum reward possible. The results clearly show the average price difference between both generator profiles. In addition, it is possible to state that the price of energy changes due to the relative participation of public or private sellers in the auctions.
Low-Profile Low-Cost Ultra-Wideband Circularly Polarized Slot Antennas

Aiming for ultra-wideband (UWB) indoor wireless access, three low-profile UWB circularly polarized slot antennas are proposed in this paper, all of which are made by a pair of curved tapered slots. The slots are miniaturized to allow a short direct microstrip feeding. The first antenna is a bidirectional antenna with a measured −10 dB impedance bandwidth of 110% (2.94 - 10.06 GHz), and a 3 dB axial ratio (AR) bandwidth of 89% (3.19 - 8.26 GHz). Its measured peak gain is 7.5 dBic and its size is 0.80 <inline-formula> <tex-math notation="LaTeX">$\lambda _{\mathrm {max}}\,\,\times $ </tex-math></inline-formula> 0.80 <inline-formula> <tex-math notation="LaTeX">$\lambda _{\mathrm {max}}\,\,\times $ </tex-math></inline-formula> 0.5 mm (<inline-formula> <tex-math notation="LaTeX">$\lambda _{\mathrm {max}}$ </tex-math></inline-formula> is the free-space wavelength at the lowest frequency, 3.19 GHz). Its performance is similar to that of a traditional spiral antenna, but it has a much simpler structure with a more complete ground plane, making it possible to integrate with other components (e.g. filter and amplifier) on the antenna body to reduce the overall size of the system. The second antenna is a directional antenna with a simple solid metal reflector placed 21 mm away from the radiator. This configuration increases the peak gain to 8.6 dBic, but reduces the impedance bandwidth to 52% only. The third one is a directional antenna with a meshed reflector. It has a maximum gain of 9.6 dBic, which is higher than that of the second antenna, while its −10 dB impedance bandwidth is 99% (3.37 – 9.94 GHz) and its 3 dB AR bandwidth is 84% (3.70 - 9.07 GHz), which is similar to that of the first one. Also distance between the radiator and the reflector (antenna’s height) is reduced to 9 mm only (0.111 <inline-formula> <tex-math notation="LaTeX">$\lambda _{\mathrm {max}}$ </tex-math></inline-formula>). The proposed antennas demonstrate high efficiency, simple and low profile structures, wide impedance and AR bandwidth, making them excellent candidates for in-door base station and UWB positioning systems.
Frequency Reconfigurable Bow-Tie shaped patch antenna with switchable Ground for Wireless Application

This paper comprises the design which is able to work in S (RFID application), C and X-band. The design structure comprises a bow-tie shaped radiating patch and bowtie shaped ground plane which is just beneath the bow-tie patch. PIN diodes are employed to reconFigure the desired performance parameters. The design is also incorporate to work in full patch mode as well as monopole mode and DGS mode. The whole design is simulated with HFSS simulation tool. The results are adequate and fulfill the expectation.
An Analysis of Hybrid/Electric Vehicle Monitoring Systems and Parameters

Electric or hybrid vehicles are becoming increasingly popular these days due to their friendly environmental approach, low or almost nonexistent fuel consumption, low taxes or governmental buying bonus. However, very congested metropolitan areas may affect the electric/hybrid vehicles performance, reliability and battery health due to excessive wear, high waiting times and low-speed movement. Frequently monitoring the hybrid/electric vehicles parameters may be needed to prevent electrical or electronic malfunctions, since this kind of issues may be expensive to solve. In this paper, we explore the ways these types of vehicles can be electronically monitored and investigate the influence of certain factors (environmental, traffic-related) over the vehicle's performance, reliability and battery wear/health. An overview of the equipment, software and working principles of the testing devices is presented. Also, we propose a low-cost electric/hybrid vehicle monitoring system based on the acquired knowledge. A 2018 Mitsubishi Outlander PHEV was used for experimentations, parameter monitoring and all the system were tested using this plug-in vehicle.
Weight Estimation of the Wiring in a Distributed Propulsion System for Aircraft

The full electric/hybrid electric propulsion is nowadays a promising technology for the aircraft. The problems related to the electric flight are inherent the storage system sizing, the design of lightweight motors and the power electronics converters. In this paper is proposed a preliminary study about the on-board wiring system. In particular, the maximum power transferrable with the common aeronautic wires in a distributed propulsion system has been investigated.
Analytical Model of Power MOSFET Switching Losses due to Parasitic Components

In this paper the effect of parasitic elements on the MOSFETs switching transient through a linear and time-varying electrical model is presented. In particular, the effect of non-linear junction capacitances and the stray inductances have been studied and compared in terms of switching loss and waveform overshoot and ringing. The results obtained with the proposed model are validated by comparison between the model implemented in Matlab/Simulink and LTspice simulations. Considerations about the impact of stray inductances and switching energy losses are conducted and some observations to reduce energy losses are proposed.
A Managing Framework for Artificial Intelligence to Supplement Human Workforce in a Digital Economy

Recently artificial intelligence (AI) spring has been brought about by the needs from the aging world as well as advances of the deep learning technologies. Japan is the world's most aged country: 33 percent of its population were aged 60 years or over in 2017. The population aging and population decline contribute to a decline in growth potential. Recalling the growth accounting equation, productivity, neither capital nor labor, is strongly desired to increase. This success depends on how effectively AI makes use of capital and labor, especially labor. AI is expected to supplement human workforce rather than to take place of it. Because AI is not a natural person who has his or her autonomous will, its learning is under control of some natural person. This paper proposes a management framework for AI to supplement human workforce. By looking back the AI history, the proposed management framework integrates statistical knowledge derived from machine learning and deterministic expertise obtained from expert systems. To evaluate the effectiveness of this proposal, this paper analyses expert system and machine learning applications in auditing. It was confirmed that auditors can be assisted in making decisions on broader areas by integrating the outputs from these two approaches.
Application of ANN and ANFIS techniques for PSS tuning in a multimachine power system

This paper presents a study of performances evaluation of lead-lag Power System Stabilizers ‘PSSs’ equipped with adaptive mechanisms performed on the basis of artificial intelligence techniques (neuronal networks, and neuro-fuzzy networks). These adaptive and intelligent PSSs with on-line self-tuned parameters have allowed a good damping of rotoric oscillations for various operating conditions and disturbances. Based on a linearized model of a multimachine power system, an optimized design of lead-lag PSSs has been performed using NSGA-II optimization technique.
A 5.8 GHz CMOS Analog Front-End Targeting RF Energy Harvesting for Microwave RFIDs with MIMO Reader

Targeting the feasible application of microwave RFID systems with MIMO reader technology for tracking small objects in multipath fading conditions, we present a fully integrated Analog Front-End (AFE) designed and fabricated in a standard 65-nm CMOS technology for low power passive RFID tags in the 5.8 GHz ISM band. A differential drive power scavenging unit is dimensioned to provide a 1.2 V rectified voltage resulting in a 1 V regulated voltage for the AFE while supplying a 50 $\mu$W load. Transistors with standard threshold voltage (Vth) have been used for implementation. Measurements of the fabricated circuits show a maximum Power Conversion Efficiency (PCE) of 71.8% at -12.5dBm, and an input quality factor (Q-factor) of approximately 10.
Data-driven Production Constrained Build-order Optimization in StarCraft

: Production constrained build-order optimization problems challenge artiﬁcial intelligence research in computer game applications due to an uncertain set of constraints. Traditional approaches provide subjective values in the constraint formulation therefore resulting in unexpected performance of the optimal build-order in a game. In this article, we propose a data-driven approach to solve a build-order optimization problem in StarCraft . We formulate the constraint by learning the parameter values from game replay data, which complements more precise problem formulation. To solve the optimization, we use the improved genetic algorithm by learning initial solutions from the data. We show the performance of the data-driven methods in a StarCraft simulation platform.
LTE Signals for Device-Free Crowd Density Estimation Through CSI Secant Set and SVD

The rising need of crowd monitoring in public spaces, especially for safety purposes, pushes the research community to propose and experiment novel methods of crowd density estimation. This paper focuses on device-free RF sensing, which does not require the monitored people to carry any electronic device. In particular, the paper proposes and assesses the performance of a crowd density estimation system based on the analysis of the variations of Channel State Information (CSI) computed from unencrypted synchronization signals transmitted by a eNodeB and reflected/scattered by people located in the monitored area. The proposed method uses features extracted from the list of singular values of the CSI secant set. This approach allows to reduce the impact of CSI variations due to noise or HW instability, improving the sensitivity to CSI variations caused by human presence. The average accuracy achieved by the proposed approach is 84%, which is comparable with the accuracy achieved with WiFi based crowd density estimation systems.
On the Use of Inductive Biases for Semantic Characterization of Industrial Alarm Systems

Process Automation Systems (PAS) have a great benefit when including Probabilistic Web Ontology Language (PR-OWL) in intelligent systems and use automated reasoning of the underlying process data. It appears as a strategic element of modern Distributed Digital Control Systems (DCS). Inside industrial processes, the analysis of alarms in the process control rooms is not an easy operator task. Given the lack of an effective analytical formulation that is capable to provide adequate support to plant operators in their real-time decision-making processes by making explicit critical conditions using industrial alarm systems. Due to specificities for industrial alarm systems and the increasing number of alarms that operators must handle, the main challenge is assessing the meaning and relevance of event patterns during different situations. In this paper, a probabilistic model, which further specializes information flows in accordance with the environment adopted for control and monitoring systems of the discrete industrial domain, seems to be more effective in this task. Further, the proposed approach was evaluated in a real case study scenario.