Miracle-dz/UniFAR-FTUs huggingface dataset:
Screening of Integrated GaAs Stacked-FET Power Amplifiers

The manufacturing of radar front-ends is preferably performed with components that are fully tested and known to be functional. This decreases the chances of instant failure or rapid degradation of the system. Complete testing of the RF-performance of the individual MMICs, however, is not always possible due to technical, infrastructural or financial limitations. A good alternative is the screening of several DC parameters that are relevant for a reliable operation. Commonly used parameters for this DC-screening are the pinch-off voltage and off-state breakdown voltage of the transistors. To measure these parameters on all transistors, access is required to the gate, drain and source terminals of these transistors. In a Stacked-FET amplifier not all transistors terminals are directly accessible via DC pads and the inclusion of extra pads will result in a significantly larger layout. The goal therefore is to measure the DC behaviour without the need for extra DC pads. In this article methods are developed to support this goal.
Limiting the Output Power of Rugged GaN LNAs

Rugged GaN HEMT low-noise amplifiers are well established, but the common concept of achieving ruggedness by applying the gate supply voltage through a high ohmic resistance might not be sufficient in addition to control the maximum output power. This paper shifts the focus to the protection of subsequent stages and proposes a circuit concept based on an output attenuator and an adaptive drain supply. It is shown that the concept implementation provides an attenuation of up to 28dB under input overdrive condition while leaving small-signal noise Figure unaffected.
Control Algorithms for Large-Scale Railway Network Logistics

The problems that are being talked about here are related to the scientific field of supply chain management. This article focuses on the preferred control algorithm selection for large-scale railway network logistics for the special case. In this particular case, the dispatch and destination stations belong to the various regional rails. The statistical approach is applied here to the choice of the preferred control algorithm for rail cargo logistics. The peculiarity of our approach is the application of standard score z-test modifications for timing characteristics comparison. The results obtained can be used for logistics process optimization and improvement. These findings may be applicable to large-scale railway networks and transportation networks that combine the different modes of transport.
Wireless Composite Right/Left-Handed Transmission Line Sensor for Permittivity Measurements

The paper presents a wireless sensor for measuring the dielectric constant of solids and liquids, based on a Composite Right/Left-Handed Transmission Line (CRLH-TL) structure. For the proposed sensor, the operating principle and the fabrication technology are described in detail. The sensor utilizes a novel CRLH unit cell approach which separate coaxial line Right-Handed (RH) and substrate based Left-Handed (LH) components. For sensing applications, CRLH structures can exhibit high sensitivity and simultaneously have the advantage of scalability in frequency and size and have the ability of conformal adaptation to the sensing task [1]. For proof of concept, a reflection-type sensor with a circular-ground monopole antenna for wireless accessibility was designed for 5.7 GHz.
Development of Low-cost Wearable Walking Pattern Recognition System using Inertial Sensors

Regular walking has several benefits for improving treatment of many diseases and pains, and improving the health-related quality of life. The prevalence of walking abnormalities are precursors of falls and cause severe injuries in elderly. Thus, it becomes important to recognize the walking pattern. The aim this research is to develop a low-cost wearable walking pattern system using inertial sensors. The proposed system consists inertial sensors, multiplexer, microcontroller, and personal computer. The proposed walking pattern system can be used to detect the walking cycle in the sagittal and frontal axes. The developed system can also distinguish forward and backward movements. This study presents the preliminary prototype and result of the walking pattern system recognition using low-cost electronics components and module. Even though the development costs are kept low, USD 39.6, the proposed system still meet the specification that have been set.
An Extraction Method for the Parameters of the Solar Cell Single-Diode-Model

This paper introduces an efficient and simple method for extracting the parameters of a solar cell described by a single diode model. Given the IV curve of the solar cell, the method starts with random parameters and relies on an iterative process that moves five key points from the simulated I-V curve closer and closer to the real curve. The implementation of this method gives excellent results in just a few iterations. It also confirms a previously reported fact that quasi-similar I-V curves can be obtained by different sets of parameters.
3DMA: A Multi-modality 3D Mask Face Anti-spoofing Database

Benefiting from publicly available databases, face anti-spoofing has recently gained extensive attention in the academic community. However, most of the existing databases focus on the 2D object attacks, including photo and video attacks. The only two public 3D mask face anti-spoofing database are very small. In this paper, we release a multi-modality 3D mask face anti-spoofing database named 3DMA, which contains 920 videos of 67 genuine subjects wearing 48 kinds of 3D masks, captured in visual (VIS) and near-infrared (NIR) modalities. To simulate the real world scenarios, two illumination and four capturing distance settings are deployed during the collection process. To the best of our knowledge, the proposed database is currently the most extensive public database for 3D mask face anti-spoofing. Furthermore, we build three protocols for performance evaluation under different illumination conditions and distances. Experimental results with Convolutional Neural Network (CNN) and LBP-based methods reveal that our proposed 3DMA is indeed a challenge for face anti-spoofing. This database is available at http://www.cbsr. ia.ac. cn/english/3DMA.html. We hope our public 3DMA database can help to pave the way for further research on 3D mask face anti-spoofing.
High-Speed Low-Power 4 Channel Laser Diode Driver for Pico-Projector Application

This work presents the design of a 4-channel integrated laser diode driver (LDD) fabricated in 160 nm BCD technology for a low-power pico-projector application based on micro-electromechanical systems (MEMS) micro-mirrors. The embedded 10-bit current DAC known as video DAC, can produce 300MHz sharp current pulses with 1ns rise/fall time, less than 7% overshoot, 3-4ns settling time while the full-scale range (FSR) is also programmable through a static 10-bit current DAC, known as scale DAC, in the range of 160uA up to 160mA. These performances are guaranteed thanks to the novel active bootstrap presented in this paper. Additionally, a low frequency DAC is embedded to provide the threshold current required to bias laser diode above its threshold current depending on the temperature and aging influence.
Hermetically Sealed Glass Package for Highly Integrated MMICs

A novel hermetically sealed RF packaging concept based on glass is presented. Using the laser induced deep etching (LIDE) technology enables the fabrication of glass vias without degrading the mechanical stability as micro-cracks are completely avoided. Furthermore, aspect ratios of up to 1:10 make this technology superior over conventional packaging solutions for the upper millimeter wave regime beyond 150 GHz. As an initial design demonstration, this paper shows a vertical RF-transition through the glass substrate using Through-Glass Vias (TGVs) with an aspect ratio larger than 1:6. The realized prototypes intended for highly efficient LO/VCO distribution within the glass package show excellent reproducibility with a maximum insertion loss of 0.4 dB up to 40 GHz. In addition, a very compact RF-interconnection from PCB to the glass package using solder balls is presented. The simulation of the RF-transition is in good agreement with the measured reflection and transition coefficient not exceeding-15 dB and -1.5 dB up to 35 GHz, respectively,
Violence Detection in Surveillance Videos with Deep Network Using Transfer Learning

Violent action recognition has significant importance in developing automated video surveillance systems. Over last few years, violence detection such as fight activity recognition is mostly achieved through hand-crafted features detectors. Some researchers also inquired learning based representation models. These approaches achieved high accuracies on Hockey and Movies benchmark datasets specifically designed for detection of violent sequences. However, these techniques have limitations in learning discriminating features for videos with abrupt camera motion of Hockey dataset. Deep representation based approaches have been successfully used in image recognition and human action detection tasks. This paper proposed deep representation based model using concept of transfer learning for violent scenes detection to identify aggressive human behaviors. The result reports that proposed approach is outperforming state-of-the-art accuracies by learning most discriminating features achieving 99.28% and 99.97% accuracies on Hockey and Movies datasets respectively, by learning finest features for the task of violent action recognition in videos.
Determination of Effective Dielectric Constant and Resonant Frequency of Microstrip Patch Antenna with Multilayered Superstrate Structures

A generic iterative empirical model to compute the effective permittivity (εeff) and resonant frequency (fr) of microstrip patch antenna (MPA) covered with multi-layered superstrates is reported. For an MPA covered with multi-layers of superstrate the presented technique makes use of conformal mapping (CM) of dielectric boundaries and series-parallel combination of capacitances between the metallic patch and ground plane to determine εeff. The developed model can accurately predict εeff and fr of multi-layered superstrate structure with permittivity greater than 4.5 which is higher than the previous state-of-the-art (i.e. εr>2.32). It can predict fr of an MPA with relative %error of 1.6% and 0.1% for superstrate having permitivities of 3.66 and 4.7 respectively for considerably thicker superstrates. The presented theory is validated by developing prototypes and a good agreement between the measured and the simulated results confirm this premise. In essence, the technique presented is first of its type to anticipate fr of an MPA covered with superstrate layers of relatively higher permitivities with very small relative %error than the previous works. An algorithm to integrate the developed model with any standard microwave simulator is also proposed. Finally, the proposed theory is applicable for wearable sensors with antenna in it and covered with dielectric superstrate for protection from the environment.
Design and Implementation of Injection Locked Oscillator Biosensors

This paper presents the design and the implementation of a Lab-on-Chip biosensor, based on injection locked oscillators (ILO) integrated on a BiCMOS SiGe technology, dedicated to the analysis of biological cells by dielectric spectroscopy at microwave frequencies. The proposed circuit is able to evaluate the dielectric response of suspended cells circulating in a microfluidic channel. Under these conditions, a sensing accuracy of a few attoF is necessary to discriminate differences between cells, which in the case of oscillators in free running frequency would require to be able to generate variations of the oscillation frequency of the order of 10 kHz in the vicinity of 5 GHz. With the proposed biosensor, post layout simulations show that it should be possible to measure effects of 10 attoF capacitive variation. Hence, the architecture of injection locked oscillators may prove to be the much more relevant approach at the price of a total current consumption of 37 mA from a 2.5 V supply voltage.
Application of the Hurst Exponent for the Stock Prices Forecasting in Investment Systems Management

In the carried out research is confirmed that the application of the Hurst exponent in forecasting the time series of stock prices and stability of trend can improve forecasting results, but it is possible only in the short-term time period. The Hurst exponent can be used as an additional indicator (data risk in forecasting) and can improve forecast data reliability in the large-scale investment systems.
Additive Layer Manufactured Waveguide RF Components

This paper describes the most recent work on satellite waveguide RF components manufactured with additive laser manufacturing (ALM) in Airbus Defence and Space Germany. Knowledge collected during previous investigations was used to combine functionalities of different components in single parts. Therefore an entire circularly polarised X-band feed chain and a Ku-band feed chain, developed for monolithic ALM manufacturing, were produced and measured. For getting more information about ohmic loss values of 3d-laser sintered components, measured results of a loss representative meander waveguide are shown.
Design of an X-Band Suspended Stripline Unequal Split Power Distribution Network

This paper discusses the design of an 8-way X band power distribution network for antenna applications. A suspended stripline is chosen as transmission line and it is optimized to provide low loss while avoiding the presence of higher order modes. The low loss structure makes the 50 Ω line very wide compared to the wavelength and therefore lower impedance lines are not recommended. The design method for implementing unequal split Wilkinson dividers without using low impedance lines is presented. This technique also reduces discontinuities within the dividers. The losses in the network are lower than 0.4 dB in X band over 10% bandwidth and it achieves a very low amplitude error with respect to the theoretical value over the entire band. The structure is shown to be more robust to output mismatches than a similar power distribution using T junctions. Finally, the higher frequency behaviour of the power splitter is studied and the higher frequency limitations of the suspended stripline structure are explained.
A Novel PWM DC–DC Boost Converter with Reduced Voltage Across Filter Capacitance

A novel pulse width modulation DC-DC boost converter reduced voltage across filter capacitance is presented in this paper. As compared to conventional boost converters, the proposed boost converter has lower cost and higher power density due to a capacitance used in this paper that has lower voltage rating. In addition to that, the proposed converter has a simple structure to implement without increasing the complexity in the design. The proposed converter operates as a conventional PWM DC–DC boost converter. Therewithal, the voltage rating of filter capacitance in the proposed converter is lowered by input voltage rating. The detailed theoretical and mathematical analyses of novel converter are made and a simulation setup with 20 kHz, 100 W is implemented. Finally, the analyses are confirmed with simulation study and results are presented.
A Compact Micro-Diversity Module with Integrated Antenna Set for Automotive Satellite Radio Reception

A new very compact micro-diversity module consisting of a two-antenna set together with a diversity circuit is presented for the automotive reception of satellite radio services around 2.3325 GHz. The complete module takes up an area of only 54 mm by 54 mm with an overall height of only 20 mm. The new antenna set features two independent ring type structures at a single mounting position with a mutual coupling lower than 15 dB for beam forming in line-of-sight reception as well as for diversity reception in fading environments. The antennas are placed on the top side of a printed circuit board of which the bottom side contains our complete antenna diversity circuit. This circuit consists of a new prototype of an integrated circuit for switching, phase aligning and combining of up to three antenna signals, a micro-controller and an integrated circuit for signal level detection. The micro-diversity system is independent of the radio, replacing a common single antenna of similar size and offering a highly improved reception quality to the radio. Requiring only a small ground plane, the module offers lots of new mounting positions in a car for satellite radio reception. The new compact diversity module is evaluated via original satellite radio signals in a fading environment, showing a significant improvement of reception quality.
Polymer Based Trimodal Interferometric Sensor

In this work, a polymer-based single channel trimodal interferometric sensor is presented and demonstrated. The presented device was fabricated with Direct Laser Writer Technique at 405 nm wavelength on SU-8 photoresist, showing free spectral range of 20.2 nm and signal visibility of 5.7 dB, reaching very high sensitivity to temperature variations of 0.058 dB/°C.
An Integrated Monobloc 3D Printed Front-end in Ku-band

This paper presents the integration of several Front-End functions in a single monolithic device using 3D printing. A front-end consisting of a 2x2 horn antennas array and a Ku-band diplexer was printed in a single piece by stereo-lithography. The device was fabricated and measured within the frequency bands of 13.7 to 14.7 GHz and 16.3 to 17.3 GHz. The maximum gain is around 20 dBi in both frequency bands and the isolation between the two channels is 40 dB. The manufactured front-end has a volume of 1849 cm3 and a weight of 210 g.
Direct Synthesis of Quad-Band Band-Pass Filter by Frequency Transformation Methods

This article presents a method to design a quad-band band-pass filter. It is based on a frequency transformation function allowing the direct transformation of a low-pass prototype in a quad-band band-pass filter. By defining the low and high frequencies of each pass-band, all the parameters of the frequency transformation (resonant angular frequencies and susceptance slope parameters) can be retrieved analytically. To validate the method, a third-order Chebyshev filter is designed and fabricated using microstrip technologies. Very good agreements are achieved between theoretical responses and measurements.
Household Appliance Commitment with Appliance Dependency Modelling

Smart home energy management is one of the main topics in demand side management. In the literature, many Home Energy Management Systems (HEMSs) are designed to optimally schedule the operation ofhousehold appliances. However, most of existing work ignores the lifestyle related requirements of the user on the appliances’ operational dependencies. In this paper, we propose a new household appliance commitment model that integrates both the operational constraints of individual appliances and the dependency constraints among them. In this sense, the proposed HEMS can more accurately reflect the end user’s lifestyle requirements. Several simulation scenarios are designed to validate the proposed HEMS.
The Method of Assessing the Level of Compliance of Divisions of the Complex Network for the Corporate Information Security Policy Indicators

The method of assessment of degree of compliance of divisions of the complex distributed corporate information system to a number of information security indicators is offered. As a result of the methodology implementation a comparative assessment of compliance level of each of the divisions for the corporate information security policy requirements may be given. This assessment may be used for the purpose of further decision-making by the management of the corporation on measures to minimize risks as a result of possible implementation of threats to information security.
Design of Wideband Bandpass Filters Using Parallel-Coupled Asymmetric Three Line Structures with Adjustment Elements

In this paper, three microstrip wideband bandpass filters having three, five and seven poles are designed by using parallel-coupled asymmetric three line structures. The proposed filter structures have parallel-coupled asymmetric line blocks having unequal strip widths and coupled each other with coupling gaps. Multi pole frequency responses are resulted from the cascaded parallel coupled transmission lines. The designed filters have adjustment elements as capacitive patches on asymmetrical three line blocks to enhance the control of in-band return loss levels. Approximate theoretical analyses of each filter are realized by introducing ABCD matrices. Three microstrip wideband filters are designed, analyzed and fabricated. Measurement results show good agreements with predicted results.
A case study on the impact of masking moving objects on the camera pose regression with CNNs

Robot self-localization is essential for operating autonomously in open environments. When cameras are the main source of information for retrieving the pose, numerous challenges are posed by the presence of dynamic objects, due to occlusion and continuous changes in the appearance. Recent research on global localization methods focused on using a single (or multiple) Convolutional Neural Network (CNN) to estimate the 6 Degrees of Freedom (6-DoF) pose directly from a monocular camera image. In contrast with the classical approaches using engineered feature detector, CNNs are usually more robust to environmental changes in light and to occlusions in outdoor scenarios. This paper contains an attempt to empirically demonstrate the ability of CNNs to ignore dynamic elements, such as pedestrians or cars, through learning. For this purpose, we pre-process a dataset for pose localization with an object segmentation network, masking potentially moving objects. Hence, we compare the pose regression CNN trained and/or tested on the set of masked images and the original one. Experimental results show that the performances of the two training approaches are similar, with a slight reduction of the error when hiding occluding objects from the views.
Influence of Interfirm Social Networks on Technological Innovation and its Time Lag Effect: a Meta-Analysis

The influence of interfirm social networks on technological innovation has been extensively studied in the previous literature. However, there are conflicting empirical results across past studies. To reveal the actual correlation and the influencing factors of the relationship between interfirm social networks and technological innovation, this study conducts a meta-analysis. The meta-analysis includes 56 evidence-based studies, 321 effect sizes, and 134,098 sample firms in total. According to social capital theory and the network properties, we classify the interfirm social network measuring constructs into three and five variables, respectively. The actual correlation between each variable and technological innovation and the heterogeneity of the correlation values are obtained. Additionally, the results of this study show that there is a significant time lag effect of interfirm social networks on technological innovation. Moreover, the results of the meta-analysis confirm that regional differences and industrial differences both have a significant moderating effect on the relationship between interfirm social networks and technological innovation.