Miracle-dz/UniFAR-FTUs huggingface dataset:
SPPlagiarise: A Tool for Generating Simulated Semantics-Preserving Plagiarism of Java Source Code

Source code plagiarism is a common occurrence in undergraduate computer science education. Studies have indicated at least 50% of students plagiarize during their undergraduate career. To identity cases of source code plagiarism, many source code plagiarism detection tools have been proposed. However, conclusively determining the effectiveness these tools at identifying cases of source code plagiarism is difficult. Evaluations are typically performed using unreleased data sets. Without a comprehensive publicly available data set for source code plagiarism detection evaluation, it is difficult to perform an unbiased and reproducible evaluations of tools. To address this problem, this paper presents a tool, SPPlagiarise, which is designed to produce simulated source code plagiarism of Java source code. SPPlagiarise applies a random number of semantics-preserving source code obfuscations at random locations to a Java code base to simulate source code plagiarism. In this paper the design of the tool and an evaluation of a generated plagiarism data set is presented.
Finger Vein Recognition Based on Fusion of Deformation Information

As a convenient and fraud-proof biometric, finger vein has received increasing attention from researchers. However, the deformation problem in finger vein images is still a challenge preventing the performance of finger vein recognition from prefect. In our opinion, the deformations are distinguishable between genuine and imposter fingers rather than performing as disturbing noises. It is because that the diversity between genuine images is mainly caused by different finger postures, and this difference can be characterized and utilized. While in the imposter matching, it is not the case. In this paper, we design a framework to ensemble the encoded deformation information with traditional texture-based method to improve the recognition performance. First, the pixel-level features are extracted to represent the finger vein images. Next, the best matching for each pixel is discovered by an optimized matching. Consequently, the displacement of each pixel is obtained, and the texture features of deformation is extracted from the displacement matrices. Furthermore, the results of direct and optimized matching for pixel-level features, together with the encoded deformations are fused using weights learned by the Support Vector Machine (SVM) model. Evaluated on the publicly available databases HKPU and SDU-MLA, extensive experiments demonstrate the superiority of the proposed method, with the Equal Error Rates (EERs) of 0.0040 and 0.0266 respectively on the two databases, which are much lower than recognition solely with deformation information. The proposed method is also applicable in high security scenarios, the False Reject Rate at zero False Accept Rate (FRR-at-0-FAR) can be reduced to 0.0363 on the HKPU database through adjusting the fusion parameters.
Circular Interpolation Techniques towards Accurate Segmentation of Iris Biometric Images for Infants

In most biometric modalities, recognition and authentication methods for adults have already been fully designed, developed and commercially available. However, for infants and children who are the most vulnerable population to abduction, swapping at hospitals and illegal adoption, such technologies are still lacking. Another challenge is that the current commercial devices are accompanied by locked-in software, which makes devices procurement in bulks unaffordable, especially for local governments in developing countries. Achieving recognition using existing algorithms for images acquired from young children also poses a challenge, since the algorithms have been developed with adults in mind. This paper presents part of a bigger project aimed at developing a multimodal biometric system for infants and children as they grow. With a dedicated focus towards iris recognition, this paper proposes an iris detection method using circular Hough transforms with circular interpolation to achieve successful iris segmentation from a database with the youngest infant being six weeks old. The proposed method outperforms the state-of-the-art iris detection algorithms with segmentation accuracy of 98% for the images within our database.
Measure distance between Camera and Object using Camera Sensor

In modern industry belongs dominance to automatization processes. For automatization are using a lot of modern technologies for example machine vision. Machine vison is used to control processes executed in production. It is based on recognizing objects shapes measure distances using only camera sensor. These systems and mechanisms representing a huge potential. Usually object recognition is already a common thing in many smartphones and cameras for entertainment applications where they are also enriched in the shape of infrared-based sensors. For use in the field of automatic control of other devices it is necessary to find out how much reliable and how reliable the object is in front of the sensor. This document provides an overview of how to measure the distance between a camera and an object and methods how does measurements provide. For experimental research is used a COGNEX camera and tested the accuracy of measuring distance using a camera.
Radiation Characteristics of a Low-Profile UWB Orthogonal Polarizated Slot Radiator Excited by Printed Dipole Antennas

In this paper presents the design of a low-profile ultra-wideband (UWB) orthogonal polarized slot radiator. The radiator is excited by printed dipole antennas. The operating frequency band of the radiator at the level of the VSWR≤3 is in the frequency range from 0.49 to 1.36 GHz (overlap coefficient is 2.77:1). The electrical dimensions of the antenna at the upper operating frequency (1.36 GHz, λ≈221 mm): 0.27 λ x 0.27 λ x 0.18 λ. The realized gain of the radiator is in the range from minus 10.4 to minus 3.3 dB. The radiated power value takes values from 0.3 to 0.98 W with the input power equal to 1 W.
Millimeter-wave Magneto-electric Dipole Antenna

A new broadband planar ME-dipole antenna element with integrated balun is proposed. The antenna has a bandwidth of 55% from 25 GHz to 44 GHz with a peak gain of 5.3 dBi. A novel integrated balun with broad operating bandwidth is designed for feeding. The antenna yields advantages of small size, wide bandwidth, low cost and stable gain. The proposed antenna can be used in 5G applications to cover the 28, 37, 39 GHz frequency band.
Flexible Notification Forwarding for Content-Based Publish/Subscribe Using P4

Publish/subscribe is a versatile communication pattern for realizing loosely coupled distributed applications. In its content-based variant, the content of each published notification is matched against the active subscriptions to determine the set of subscribers that shall receive the notification. The fact that this set may be completely different compared to that of a preceding or a succeeding notification makes it difficult to find and install beneficial forwarding rules on the network switches. In this paper, we present novel forwarding schemes based on the P4 language that (i) use dynamic forwarding information placed in the notification’s header, (ii) use static forwarding rules installed on the network switches, and (iii) combine dynamic forwarding information with static forwarding rules to precisely set the respective trade-off. We evaluate our forwarding strategies, show their applicability as well as their benefits for content-based publish/subscribe, and discuss future research directions.
An Approach to Over-the-air Synchronization of Commercial Chirp-Sequence Automotive Radar Sensors

An approach to wireless synchronization between two commercial 77 GHz automotive FMCW radar sensors is shown. Our focus is the alignment of a passive listening sensor to a second active transmitting sensor in frequency, time, and waveform modulation parameters, just by observing the signals transmitted from the active sensor. We show that using a combination of inter- and intra-chirp-sequence synchronization, the active sensor’s signal can be successfully de-ramped for fast-chirp-sequence waveforms with 275 MHz of bandwidth. In addition, we discuss timing requirements and challenges, and characterize the remaining synchronization errors by an analysis of the IF signal data matrix of the de-ramped waveform.
An Effective Algorithm for Analysis and Processing of Satellite Images for Semantic Segmentation

This article proposes an effective algorithm for semantic segmentation of satellite images based on the architecture of the convolutional neural network U-Net. This algorithm constructs raster masks of objects belonging to a single class. This algorithm provides a continuous result without stitches for satellite images of unlimited sizes, despite the limitation of the U-Net input data size. This is achieved by performing the post-processing step. This article discusses the details of the developed algorithm and its application with models trained for segmentation of agricultural fields, forests and urban buildings.
An Ultra-Wideband Millimeter Wave Aperture-coupled Patch Antenna Using a Comb-shaped Metasurface

In this study, a novel ultra-wideband aperture-coupled patch antenna using a comb-shaped metasurface (MS) was investigated for millimeter wave applications. The proposed antenna was fabricated with 4 layers of PCB and can be realized based on two parts, an aperture coupling feeding network, and a radiator. The coupling feeding network comprises a microstrip line with a radial stub and a coupling aperture (slot line). The radiator is a combination of a driven patch and a comb-shaped MS, which are made of uniform 4 × 4 metallic patch cells. The driven patch is used to provide good coupling performance that conveys the current to be distributed on the comb-shaped MS. The comb-shaped MS also functions as a wideband radiator that enhances the impedance bandwidth. To validate the design, a prototype operating on 28 GHz to 56 GHz was fabricated and measured. The simulated and measured results are in reasonable agreement. The prototype antenna with dimensions of 0.45 λ0× 0.45 λ0× 0. 16λ0,has a 10 dB impedance bandwidth of 65%, and a gain range of 5–8 dBi.
A Dual-Band Dual-Beam Metasurface Antenna

A dual-band dual-beam metasurface antenna (MSA) is proposed. The prototype consists of a layer of dual-band metasurface cells and a symmetrical feeding network. The feeding network contains several coupling slots and a two-port bended microstrip line beneath the slots. The simulation shows the backward or forward radiation of the two bands can be achieved simultaneously by a common feeding network. As a result, the lower-band beam angle and gain of the MSA can be up to 47 degree and 10 dBi, respectively. Meanwhile, the higher-band beam angle and gain of MSA are up to 40 degree and 12.5 dBi. The total size of the MSA is 0. 75λ0x 2.22 λ0x 0.05 λ0at 3.5 GHz. Compared with conventional dual-band dual-beam antenna arrays, the proposed MSA features low-cost, low-profile, simple and compact design, which can be expected to find potential applications in high-capacity communication system.
DaTask: A Decomposition-Based Deadline-Aware Task Assignment and Workers’ Path-Planning in Mobile Crowd-Sensing

Mobile crowd-sensing (MCS) has recently become a promising approach for massive data collection, which empowers common people to perform sensing tasks with their smart devices. In MCS, locations of tasks and workers are diverse, and workers need to visit different task venues to perform the tasks. The diversity of task and worker locations, tasks’ location accessibility, and required sensor type make the task assignment problem highly challenging. In time-sensitive MCS applications, this task assignment problem becomes even more intractable because of the deadline and a lot of possible movement trajectories of the workers. In this paper, we introduce two types of workers and formulate the task assignment problem, which comprises an embedded structure. Furthermore, a decomposition technique is applied to decompose the original problem into a main problem (the assignment problem) and a set of sub-problems (traveling salesman problems). The assignment problem determines task-worker assignments, and the sub-problems determine trajectories of the workers. This decomposition allows using a simpler solution strategy. Then, a memetic genetic algorithm is proposed to address the assignment problem, while each sub-problem is solved using an asymmetric traveling salesman problem heuristic. Results from simulations verify that the proposed algorithm outperforms the baseline methods under various experimental settings.
Architecture of WEB-based SCADA

the features of the application of SCADA (Supervisory Control And Data Acquisition) systems and the Internet of Things technologies in the context of the transition of the industry to industry 4.0 are analyzed. It is shown that the use of WEB-based SCADA provides most of the requirements for such systems and is a scalable solution at all its levels. WEB-based SCADA was developed and implemented, the components of which work on single-board computers of the Raspberry Pi type, and the requirements for the technical characteristics of system components are defined.
A Wide Locking-Range, Low Phase-Noise and High Output Power D-Band SiGe PLL

A fully integrated, wide locking-range fundamental frequency SiGe phase-locked-loop (PLL) at D-band is proposed which utilizes coupled voltage-controlled-oscillators (VCOs) to generate and distribute balanced RF signals in a symmetric and compact form factor. The proposed technique facilitates the balanced LO distribution, increases the output power, improves the phase noise, and increases the locking range of frequency dividers at the same time, all at the cost of increased DC power consumption. The designed VCO achieves better than 10% DC-to-RF conversion efficiency across the entire tuning-range and provides output power of better than +8 dBm. The VCO achieves a FoMt of more than 194, which, to the best of our knowledge is the highest FoMt among the reported D-band VCOs. The PLL was fully integrated in a 130 nm SiGe BiCMOS technology. This PLL locks at 105–117 GHz. It achieves a phase noise of better than −100 dBc/ Hz and −121 dBc/ Hz at 1 MHz and 10 MHz offset from a 116 GHz carrier, respectively. The measured average output power is better than +8 dBm across the entire locking-range.
Correction of Radiation Scattering Influence in Single Photon Emission Computed Tomography

Scattering is one of the most influential distortion factors in single photon emission computed tomography. There is no algorithm to fully take into account the influence of the scattering. This is because the equation of the radiation interaction with matter does not have an exact analytical solution. Therefore, various approximations are used to simplify this equation. One of such approximations is the homogeneous scattering medium approximation. There is presented the method of the scattering influence correction in SPECT in the approximation of homogeneous scattering medium.
Scaling Aspects of Nanowire Schottky Junction based Reconfigurable Field Effect Transistors

This contribution discusses scaling aspects of individually gated nanowire Schottky junctions which are essential parts of reconfigurable field effect transistors (RFETs). The applicability of the screening (or natural) length theory in relation to the carrier transport is discussed first. Various geometrical parameters of the device were investigated to find the optimal structure in terms of performance. For this purpose, electrostatic properties and the dynamic behavior of the RFET were studied. Finally the increase in performance due to an additional substitution of the silicon by germanium is analyzed.
Effects of Post Metallization Annealing on InGaAs-on-Insulator MOSFETs on Si

We investigate the effects of hydrogen-based post-metallization annealing on InGaAs MOSFETs integrated on insulator on Si substrates. We find that several aspects of device performance are improved by post-metallization annealing. While a 325°C anneal offers maximum improvement of the subthreshold slope, a 300°C anneal yields the highest transconductance and lowest on-resistance. We correlate these improvements with a reduction of contact resistance as well as density of interface traps near the conduction band edge. Overall, by use of the high-temperature annealing scheme, the on-current at VDD = 0.5 V and IOFF = 100 nA/µm was improved by 66% compared to no annealing.
A Novel SIW-Fed Quasi Yagi-Uda Antenna Array Covering 23 to 39 GHz

This paper presents a wideband SIW-fed quasi Yagi-Uda antenna array for the approaching millimeter (mm) wave 5G wireless communications. Instead of a single dipole, a pair of dipoles are fed by the open-ended SIW. With the concept of tightly coupled array, the impedance bandwidth is remarkably enhanced. Measurement verifies that a 4-element array obtains good impedance match (|$S$11|<-10 dB) from 22.9 to 39.8 GHz, covering almost all the mm-wave 5G spectrums.
920MHz band high sensitive rectenna with a small loop antenna

In this paper, the 920MHz band rectenna on ambient energy harvesting is discussed for high efficient rectification in low RF power region. For high RF output voltage of the antenna, extreme high antenna impedance of $29\ \mathrm{k} \Omega$ can be achieved with resonance between the small loop antenna and the SOI-CMOS rectifier IC. Physical dimensions of the antenna is optimized to improve high rectification efficiency. As results, top-level efficiency of 25% and output voltage of 0.35 V can be obtained at input power of-30 dBm.
SIW Cavity-Backed U-Shaped Slot Antenna for 5G Applications

A novel design technique to enhance the bandwidth of substrate integrated waveguide cavity-backed U-shaped slot antenna has been proposed in this paper. The proposed antenna is designed for 5G applications to cover 28 GHz (27.5-28.35 GHz) band. Instead of using a conventional narrow rectangular slot, a U-shaped slot is used for an inductive loading of the slot to get broader bandwidth performance. The results show that the bandwidth of 3.9 GHz (13.9%), a gain of 7.15 dBi over the bandwidth, and cross-polarization level less than −28 dB have been achieved. The overall volume occupied by the proposed design including feedline is 20 mm x 14 mm x 0.508 mm.
Study on Fast Needle Puncture to Reduce Pain

This study focused on evaluating different COFs (coefficient of friction) between needles and skin generated by different diameters, surface treatments, needle loads, and puncturing speeds of syringe needles. The goal of this study is to design a COF measurement device and to find a way to reduce the skin pain caused by needles in order to improve the quality of life of those who need frequent blood collections and injections. The result of synchronized measurement of high speed camera and load cell indicates that the distance, instantaneous speed, average speed, friction force and COF are proportional to diameter of syringe needles. The aforementioned experimental result also indicates the maximum COF is at diameter of 1.2 mm, followed by 0.8 mm and 0.5 mm. That is, a needle with a larger diameter will produce greater friction and COF during passage through human skin, resulting in greater pain. The summary of experimental results indicates that the higher needle puncturing speed, the smoother needle surface (for example, the coated surface), the less needle load, and the smaller needle diameter will result in smaller COF such that it can reduce the pain caused by friction during needle puncturing. The key points of the experimental result are summarized as below: 1.With needle diameter of 1.2 mm and bare needle load of 100 g, the µs (the maximum static coefficient of friction) is reduced by 60% (0.89: 0.36) and the µk (the dynamic friction) is reduced by 61% (0.80: 0.31) when the needle puncturing speed is increased from 0.01 m/s to 1.35 m/s. Note also that µs is always greater than µk, 2.With needle diameter of 1.2mm under puncturing speed 0.01m/s, the µs and µk reduced by 9% (0.65: 0.59) and 5% (0.57: 0.54) respectively, when the bare needle load is decreased from 200g to 100g. 3.With needle load of 100g under speed 0.01m/s, µ s is reduced by 20% (0.59: 0.47) and $\mu k$ is reduced by 24% (0.54: 0.41) when the needle diameter is decreased from 1.2 mm to 0.5 mm. 4.With the needle diameter of 1.2mm under speed 0.0 1m/s and load 100g, the comparison between bare needle and coated needle indicates that µs is reduced by 32% (0.65: 0.44) and µk is reduced by 30% (0.57: 0.40).
Automatic Lip segmentation with level set method

Several methods have been developed in automatic speech recognition systems with high acccuracy in noisy environments. Previous studies have divided speech recognition into three main categories that are: Denoising the signal, adapting the system to the environment or audiovisual recognition by considering the movement of the lips.In fact, the spoken message is more intelligible when it is accompanied by the vision of the speaker’s face, and particularly when the transmission medium is noisy.In this paper, we present an automatic algorithm of lip segmentation used for video sequences. This system has a static module. After locating the face and calculating a bounding box of the mouth, we apply a static algorithm automatically to extract the full contour of the lips by combining active contours and parametric models. Level set method allows finding key points on the contours to position a parametric model composed of cubic curves appropriate to the possible deformations of the lips.Finally, the experiments show that our algorithm allows following the characteristic points with a precision comparable to that of a manual input.
A Traffic Surveillance Multi-Scale Vehicle Detection Object Method Base on Encoder-Decoder

Aiming at the problem that it is difficult for traffic monitoring videos to detect multi-scale vehicle targets, especially small vehicle targets in complex scenarios, a codec-based vehicle detection algorithm is proposed. This algorithm is based on YOLOv3. In order to solve the multi-scale vehicle target detection problem, a new multi-level feature pyramid structure added with the codec module to detect vehicle targets of different scales. The experimental results on the KITTI dataset and UA-DETRAC dataset confirm that the algorithm in this paper has achieved good detection results for vehicle targets in various environments and at various scales in the surveillance video, especially for small vehicle targets, which can better meet the actual application demand.
Portable Microwave Imaging Head Scanners for Intracranial Haemorrhagic Detection

Two configurations for microwave brain imaging are presented in this paper. Both microwave imaging (MWI) head scanners feature antennas of compact size and relatively wide bandwidth of operation (from 0.5GHz to 2.0GHz). The antennas are spear-shaped printed monopoles, which are immersed in a glycerin-water mixture. A simplified head/brain model with and without a target representing blood is used to assess and compare the performance of the two MWI scanners.