Miracle-dz/UniFAR-FTUs huggingface dataset:
Preliminary experimental results for imaging at millimetre-wave frequencies in breast phantoms

Breast cancer is one of the main causes of death among women worldwide. Microwave and millimetre wave imaging systems for breast cancer detection have been proposed as alternative or complementary techniques to the actual diagnostic devices. Several microwave prototypes and breast tissue-mimicking phantoms have been proposed to scan the breast in the low microwave regime; however, when cancers within very fat tissues are targeted the resolution at microwave frequencies is not satisfying for an early diagnosis. A possible solution to this problem could be the use of higher frequencies, at the cost of a relatively lower penetration depth. In this paper, for the first time, a preliminary image at mm-waves of a fatty breast phantom with an embedded 4-mm metallic target is presented. The recipe and the procedure for phantom preparation is explained, and dielectric properties are measured and compared to those of ex-vivo human tissues, in the [0.5-50] GHz frequency range. The proposed preliminary mm-wave system architecture is composed by two mono-modal truncated double-ridge waveguides), and a synthetic linear aperture is created by shifting these radiators with two microstep actuators in 10 different positions. Data were acquired in the [18]–[40] GHz frequency range and calibrated. The image was finally obtained through Delay and Sum beamforming with coherence-factor weighting.
Constructive Design for Reachability of Reversible Discrete-Time Switched Linear Systems

This paper proposes a constructive design approach for reachability of reversible discrete-time switched linear systems. For any reachable reversible discrete-time switched linear system of dimension n, the constructed switching path is with not more than $\frac{n(n+1)}{2}-1$ switches. Compared with the previous results, the number of switches for achieving reachability is remarkably reduced.
LPV Modeling and Control for Dexterous Manipulation with a Multifingered Hand under Geometric Uncertainties

This paper presents a new modelling and control strategy for dexterous manipulation with multinfingered hands in presence of geometric uncertainties in the system, e.g. uncertainties in the object shape. The new multifingered hand model is based on a descriptor form and a Linear Parameter-Varying (LPV) representation, which allows us to take into consideration geometric uncertainties of the hand/object system. Based on the LPV representation, a static state-space feedback is calculated according to an optimization problem with Linear Matrix Inequality (LMI) constraints. This synthesis allows to control the object position in presence of geometric uncertainties. The control strategy has been tested in simulation in a case study with contact location error and object shape uncertainty, and it has been compared with a previous robust control strategy.
Navigation Graphics to Coordinate the Human and Robot Behavior for Handheld Robot Positioning

The paper demonstrated a handheld surgical robot system in assisting the surgeon to create a tunnel during pedicle screw fixation. The robot is aimed at stabilizing the drill during penetrating the surface of a vertebra and reducing the drill drifting from the entry point caused by involuntary tremor. The handheld robot is consisted of a miniature hexapod platform and its master handle control was designed to cooperate with the 6-DOF parallel slave robot. Design of the human machine interface for visual information in the aspect of human robot cooperation has been investigated. We found that a handheld robot possesses a unique feature of the slave on the master, and requires an appropriate graphics interface which is different from the traditional design in navigation systems. Experimental results showed that the proposed new navigation graphics was effective to improve the overall accuracy and consumed time for positioning the drill to target the planned trajectory.
G-CSF does not Stimulate Leukemic Stem Cells in vivo

The effect of G-CSF on leukemic stem cells, which can support the long-term proliferation of leukemic cells in vivo, needs to be clarified to confirm the long-term safety of clinical use of G-CSF. When we examined the effect of G-CSF on leukemic stem cells in NOD/SCID mice using a transplantation assay, the engraftment of leukemic cells derived from 8 AML cases was neither supported by G-CSF alone, nor enhanced by G-CSF plus GM-CSF, IL-3 and SCF. These findings suggest that G-CSF was not able to stimulate leukemic stem cells into maintaining the long-term proliferation of leukemic cells in vivo.
Risk-Sensitive Stochastic Control with Applications to An Optimal Investment Problem under Correlated Noises

This paper is concerned with a risk-sensitive stochastic control problem, motivated by an optimal investment problem under correlated noises in the financial market. A new stochastic maximum principle for this kind of problem is obtained first, where the adjoint equations and maximum condition heavily depend on the risk-sensitive parameter and the correlation coefficient. Then the theoretical result is applied to the optimal investment problem with correlated noises, and the optimal investment strategy is obtained in a state feedback form, under a critical condition satisfied by the risk-sensitive parameter and the correlation coefficient. Numerical simulation and figures are given to explicitly illustrate the change and the sensitivity for optimal solution with respect to the risk-sensitive parameter and the correlation coefficient.
A Visual SLAM System with Laser Assisted Optimization

Current robots mainly perform their own positioning and construction of the environment through laser radar or visual sensors. The positioning method of the visual method is not as accurate as the laser method, but it can obtain more environmental information and complete the reconstruction of the surrounding environment. In this paper, combining the advantages of the two methods, pass the robot coordinate transformation obtained by the laser part into the visual part and then convert it to the initial value of the pose optimization in the visual tracking thread. It is more accurate than the initial value obtained by using the reference key frame and motion model. It can improve the positioning accuracy and improve the tracking loss to some extent. Finally, a more accurate environment point cloud map is constructed for subsequent work.
Kerr Frequency Comb Generation and Soliton Dynamics Caused by Forward-Backward Wave Interaction in WGM Microresonators

In recent years, optical microresonators, including whispering gallery modes (WGM) microresonators, have found wide application in various fields of science and technology. For example, high quality factor (high-Q) optical microresonators represent the most promising platform for the creation of miniature, energy-efficient components of optoelectronics, photonics and radiophotonics, with a speed exceeding traditional electronic components. In addition, the high-quality factor and the relatively small effective volume of the localization of the optical field significantly reduce the threshold for the manifestation of various nonlinear effects, which has made WGM microresonators a unique platform for investigating various nonlinear optical effects. A significant breakthrough was the discovery of the possibility of generation of Kerr frequency combs and dissipative Kerr solitons in microresonators [1]. Besides that the coupling of high-Q microresonator with a laser contributes to the stabilization of the laser and to a decrease of the width of its generation line via the self-injection locking effect [2, 3]. Recently it was demonstrated the generation of dissipative Kerr solitons by the multi-frequency laser self-injection locked by high-Q microresonator [4]. Interestingly, that predominantly single-soliton regime was obtained without any additional efforts. However there is no full theory of this phenomenon.
A Novel Broadband Microstrip to Waveguide Transition at W band with High Manufacturing Tolerance Suitable for MMIC Packaging

This paper presents a novel broadband microstrip to waveguide transition using substrate integrated waveguide (SIW) at W band suitable for MMIC packaging. The microstrip line is first transformed to SIW and then SIW is transformed to air filled reduced height rectangular waveguide with height being equal to the substrate thickness. The reduced height waveguide is brought to full height through a λ/4 chebyshev stepped impedance transformer. Design is robust and suitable for manufacturing with little variation in performance due to assembly. One back to back transition is developed. Experimental result shows that return loss of better than 10 dB is achieved over a bandwidth of 26 % with insertion loss of 0.52 dB at centre frequency for single transition.
A fully integrated, four-element multi-standard beamforming ASIC for 2.4 and 5.8 GHz

This article presents the design of a fully integrated multi-standard beamforming frontend for both the 2.4 and 5.8 GHz ISM band. The frontend consists of four independent receive paths, allowing to adjust each signal in amplitude and phase and combining them afterwards. This so called RF combining not only reduces the hardware effort compared to conventional MIMO receivers but also allows a combination of the beamforming frontend with any wireless system in the given frequency range. The ASIC measures 1.2 mm × 1.9 mm and was designed in a 180 nm BiCMOS technology. The circuit was integrated with complete digital control circuitry and consumes around 120 mW from a 3 V supply. Using this ASIC, a beamsteering FMCW radar system was built, proofing the benefit of analog beamsteering. Most importantly, an almost error free distance measurement in a non-line-of-sight scenario has been demonstrated, which is to our knowledge the first time reported in literature.
Expression of TLR2/1 on Macrophage Skin Lessions in ENL Patients

Latar belakang Eritema Nodusum Leprosum (ENL) adalah salah satu komplikasi pada penderita Kusta tipe Multibasiler ( MB). Penyebab, mekanisme dan pengobatannya masih merupakan masalah. Penelitian ini bertujuan untuk mengetahui kemungkinan peningkatan ekspresi TLR2/1 pada makrofag lesi kulit sebagai cerminan peningkatan akitivitas imunitas alamiah pada penderita ENL. Tujuan Membandingkan ekspresi dari TLR2/1 pada penderita kusta tipe MB tanpa ENL dan penderita kusta tipe MB yang menderita ENL. Metode Penelitian ini dilakukan secara potong lintang ( cross sectional), dengan sampel menggunakan 21 penderita kusta MB yang tidak menderita ENL dan 21 penderita kusta MB yang mengalami ENL. Semua penderita diambil sayatan kulitnya dengan meggunakan biopsi secara punch, dan diperiksa secara imunohistokimia, dengan menggunakan antibodi monoklonal, dicari sel makrofagnya, dengan mikroskop cahaya dan dilihat ekspressi terhadap TLR 2/1. Dari kedua kelompok sampel kemudian dianalisis secara statistik dengan menggunakan Mann-Whitney U test. Hasil Dari hasil penelitian ekspresi antibodi monoklonal didapat perbedaan secara bermakna antara ekspressi antibodi monoklonal terhadap TLR2/1 pada penderita kusta MB yang tidak mengalami ENL dan kusta MB yang mengalami ENL. Kesimpulan Imunitas alamiah juga teraktivasi selama proses ENL, yang ditunjukkan dengan ekspresi yang sangat tinggi terhadap antibodi monoklonal terhadap TLR2/1 pada penderita kusta ENL dibandingkan dengan penderita kusta MB yang tidak mengalami ENL
A General Framework for Adjustable Neighbor Discovery in Wireless Sensor Networks

Wireless sensor networks have been widely adopted in real-life applications. As one of the fundamental processes in constructing the network, neighbor discovery is to find out the existence of the nearby nodes. In order to enlarge the lifetime of each node, the nodes switch the radio OFF for most of the time, and only turn the radio ON for necessary communications. The fraction of time that the radio in ON is called duty cycle and low duty cycle schedule could help save energy. Most works focus on designing efficient discovery schedule under a pre-defined low duty cycle such that the neighboring nodes can discover each other in a short time. In this paper, we study a more practical problem where each node could adjust the duty cycle dynamically by the remaining energy or the subsequent tasks, which is referred to as adjustable neighbor discovery. We first propose a general framework to handle the problem, then present two distributed algorithms that can ensure the discovery between the neighboring nodes, no matter when they start and what duty cycle they choose. We also conduct simulations to evaluate the algorithms and the results corroborate our analyses.
3D Hough Transform Algorithm for Ground Surface Extraction from LiDAR Point Clouds

Currently, the application of ground surface extraction technology in 3D point clouds has attracted extensive research attention. Such technology is widely used in the environmental perception and local navigation functions of Unmanned Ground Vehicles (UGVs). However, due to the heterogeneous density and unstructured spatial distribution of point clouds, the computational time and space complexity is relatively high in ground detection. In addition, since light detection and ranging (LiDAR) sensing can obtain more than 700,000 points per second, ground point clouds require more memory, compared to non-ground point clouds. Thus, ground point clouds extraction is a vitally important function for UGVs to realize intelligent driving. To extract precise ground information, this paper proposes a 3D Hough transform (3DHT) algorithm for ground detection from 3D LiDAR point clouds. We create a special Hough space within the walking slope range and transform all of the 3D points into this 3D Hough space according to the proposed 3DHT algorithm. Then, the maximal peak is extracted and ground equation parameters are obtained using the inverse Hough transform. To reduce the time required, we apply a Graphics Processing Unit (GPU) parallel computation method to reduce the number of typically exhaustive iterations.
Chireix Outphasing Switched Mode Power Amplifier for Wireless Communication

This paper presents design and analysis of a Chireix outphasing system using two switched mode GaN HEMT power amplifiers and Chireix power combining network at 1.6 GHz. Highly efficient non-isolated signal combiner along with reactance compensation circuit is utilized to combine two outphased amplified signals. The load modulation due to interaction between branch amplifiers and efficiency enhancement at back-off output power is studied in simulation. The outphasing system is then implemented in hardware and measurement results shows the significant enhancement in efficiency for 7-dB back-off output power at 1.6 GHz.
Design of Surface Magneto-Optical Kerr Effect Automatic Measurement System Based on LabVIEW

It is of great significance for accurate and fast magnetic measurement of high magneto-crystalline anisotropy film materials. In this paper, an surface magneto-optical Kerr effect automatic measurement system based on LabVIEW is designed according to the practical requirements of hysteresis loop measurement of magnetic films. The system takes the SR830 lock-in amplifier as core, combined with virtual instrument technology and correlative detection technology, which achieves the effective measurement of the weak Kerr signal of $Ni_{80} Fe_{20}$ soft magnetic film material under strong noise environment, and automatically draws its hysteresis loop. The measurement system has high resolution, high output signal-to-noise ratio, high automation, and has good application value.
Offline Oracles for Accessibility Evaluation with the TESTAR Tool

To manage the complexity of today’s information systems, we need to investigate novel approaches for automated testing. In this paper we present two extensions to TESTAR, a state-of-the-art tool for testing systems through the GUI. We extend this tool with 1) a systematic and powerful approach for storing and querying test results through a graph database for offline oracles, and 2) support for accessibility evaluation of general applications for stakeholders with disabilities utilizing offline oracles. Furthermore, we conduct a preliminary validation of these extensions through a case study on the popular VLC Media Player.
Brain Electrical Activity Mapping in Military Pilots During Simulator Trainings

The aim of this study is to describe an evaluation method and measurement methodology for the study of variations in electroencephalography (EEG) signals in fighter pilots during training. The study is needed to monitor the mental state of fighter pilots during training. Knowledge of a pilot’s mental state during training could help to determine their readiness to perform a combat mission. It is generally known that changes in mental state and stress is manifested in electrical activity of the brain. To assess variations in the brain’s electrical activity, it is assumed to use the electroencephalography (EEG) signal. EEG signals were obtained from two fighter pilots. The data was recorded during training missions on a flight simulator. The simulated training mission was composed of three submissions (composed of stressful events and mid events). The non-linear Poincaré plot analysis was used for evaluation of EEG variability during training. The results were presented using the brain electrical activity mapping. The results showed statistically significant differences in EEG variability, when comparing a stressful event with mid event periods. This finding demonstrated the ability of the proposed method to quantify mental load, i.e. the stress of fighter pilots during flight simulator training. The results can help evaluate the stress and readiness of individual fighter pilots.
Research Status of SLAM

SLAM (simultaneous localization and mapping), also known as CML (Concurrent Mapping and Localization), real-time location and map construction, or concurrent mapping and positioning. The main problem is to place the robot in an unknown location in an unknown environment, giving the robot a way to gradually draw a complete environmental map. The robot can avoid obstacles in the room. We have divided the methods of SLAM into several categories including the perspective of sensors, the existing research at home and abroad, the serength and weakness of these research and the tasks of next stage.
Mechanism of Sequential Finger Triggering of Multi-Finger Floating-Base SCRs due to Inherent Substrate Currents

Successive voltage drops near the holding voltage associated with sequential finger triggering (SFT) are observed in multi-finger floating-base SCRs. A time delay between the triggering of neighboring fingers is in the 3–150ns range and it is observed only for long pulse rise times (10ns). TCAD simulation explains that SFT is due to lateral carrier diffusion-limited processes.
Fully Distributed Event-based Adaptive Control for Consensus Disturbance Rejection

This paper studies the event-triggered control for the multi-agent consensus disturbance rejection problem with linear agents over undirected communication networks. The disturbance observers are designed; with the states of observers, a fully distributed event-triggered consensus control strategy is provided, consisting of an adaptive control law that can avoid using the eigenvalue information of the Laplacian matrix and a distributed updating rule. It is proved that under the proposed even-triggered method, the multi-agent consensus can be reached in the presence of external disturbances and the Zeno behaviour can be excluded in the closed-loop system. Finally, a numerical example is presented to verify the effectiveness of the proposed methods.
High-Q 3D Micro-Shell Resonator with High Shock Immunity and Low Frequency Mismatch for MEMS Gyroscopes

In this work we report an improved design and method for fabrication of precision shell integrating (PSI) resonators for gyroscopes. PSI resonators are designed for lower thermomechanical noise and higher shock tolerance. We demonstrate fused silica (FS) micro-shell resonators with tailored sidewall thickness to tune the stiffness and mass of different regions in the resonators. PSI resonators of 10 mm diameter are demonstrated with low frequency split (1.2 Hz), high Q (7.5 million) and long ring-down time (6 minutes). The resonator's sidewall thickness is tailored to achieve large effective mass (>8 mg) and obtain $n=2$ wine-glass mode frequency at 6–7 kHz for immunity to vibrations. The shells were successfully tested for survivability under 7000g shock. These parameters are critical in achieving near navigation-grade performance ($\text{ARW} < 5\ \text{mdeg}/\text{hr}$, Bias Instability < 1mdeg/hr) for a MEMS gyroscope.
Admissible consensus for DMASs based on an observer-type consensus protocol with output feedback

This paper analyzes admissible consensus problem for descriptor multi-agent systems (DMASs) with fixed topology. The communication topology among agents is described by a directed graph. Firstly, observer-type consensus strategy with output feedback is presented to ensure that consensus problem of DMASs is addressed. A state transformation is put forward to convert consensus problem of DMASs into asymptotic stability problem. Secondly, necessary and sufficient conditions of consensus for DMASs under observer-type consensus protocol are derived. Moreover, gain matrices are designed based on the Riccati equation. Finally, simulation example is presented to illustrate the established results.
A Survey on Security Issues in Iot for Blockchain Healthcare

Blockchain is picking up footing and can be named as one of the furthermost basic topics nowadays. This paper introduces a wide review of the present blockchain customs for the Internet of Things (IoT) structures. It begins by outlining the blockchain and delineating the present examinations that arrangement with blockchain progressions. Even though commentators’ question about its adaptability, security, and supportability, it has effectively changed numerous people's way of life in a few zones because of its extreme impact on ventures and organizations. The range of square chain applications ranges from budgetary, human services, car, hazard the executives, Internet of things (IoT) to open and social administrations a few investigations center on using the block chain information structure in different applications. For the most part it depicted here human services application and issue dependent on the ebb and flow study, it features open research difficulties and examine conceivable future research headings in the square chain innovations for IoT.
Simulation and Measurement of Narrowband Susceptibilities of Digital Automotive Sensors

Automotive sensors need to fulfill severe electromagnetic compatibility (EMC) requirements. To improve the robustness of a sensor in early product development stages, an accurate immunity simulation is essential. Furthermore, a fast and reliable broadband immunity measurement to cover all sensor susceptibilities is necessary.In this paper, a new approach to simulate the digital output values of a pressure sensor in a closed-loop Bulk Current Injection (BCI) procedure is introduced. In addition, a sensor specific measurement method of both high accuracy and short test time is presented. Finally, the simulations are validated with measurements using automotive pressure sensors.