Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of a Millimeter-Wave Near-Field Probe for Early-Stage Skin Cancer Detection

This work presents the design of a practical and low-cost near-field probe for early-stage skin cancer detection. The device utilizes substrate integrated waveguide (SIW) technology to ensure an easy and cheap fabrication process. Moreover, the adoption of a high dielectric constant substrate material provides a good match with the skin. This in turn allows to use the probe in direct contact with the investigated area, making it a practical and effective tool for scanning a suspected body area in an in-vivo scenario. The tip of the device, i.e., the part that is in direct contact with the skin, is capable of concentrating the electric field on a small region thanks to a tapered design, and in this way a sub-millimeter lateral resolution of 0.2 mm can be achieved. The probe is designed to operate between 35 and 45 GHz, and to achieve a penetration depth of 0.4 mm in order to detect small cancer lumps. The device operates according to a differential approach, i.e., it senses relative changes in the dielectric properties of a suspect area with respect to its healthy surroundings. In this way, the effectiveness of the probe is granted for all the individuals and body regions, and regardless of the hydration level or thickness of the skin. The design has been realized and tested through full-wave numerical simulations in CST Microwave Studio.
Testing of two Thermographic Devices with two types of Temperature Sensors for Detecting and Locating of Incipient Breast Tumors

In this paper we present the challenges that arise in using devices based on contact thermography that are to be used for the detection and localization of very early breast cancers. Both devices can be connected to a PC using the common USB port. Two types of temperature sensors arrays are used: a junction diode array and a NTC resistor array. The breast temperature is sampled at a number of points with the sensor array. The data from the sensor array is used to obtain the difference and normalized fields which are then interpolated over the full breast surface. Disturbances in these fields could indicate the presence of a tumor. This interpolated field is part of the boundary condition for the Pennes equation and could be used to locate the tumor by solving an inverse temperature field problem.
FPGA Design for Autonomous Vehicle Driving Using Binarized Neural Networks

We propose an autonomous vehicle controlled by FPGAs. In our design, considering embedded systems, we apply the binarized neural networks (BNNs) which can realize a satis-fying result in high speed and accuracy to recognize pedestrians and some obstacles on a given road. To detect the traffic light, a passive camera-based pipeline is applied. Furthermore, the implementation of road lane detection is based on color selection algorithm, Canny Edge Detection, and Hough Transformation. The proposed design is realized by two Xilinx boards: PYNQ-Z1 and Zynq-Xc7Z010. These two FPGA boards cooperate with each other through a shared network cable. In the proposed design, the resource used by Zynq-Xc7Z010 can be greatly reduced and the inference time on the FPGA has been thousands times faster than the software implementation.
Why computers will never be people

The notion that computers and robots either have a measure of intelligence, or at least will have at some stage, has firmly taken root in Western culture. It has inspired a slew of science fiction novels and films, and one of these, 'The Matrix', has attained the status of a modern classic. Moreover, it has powerful advocates in the scientific and philosophical fraternities, the most prominent of whom are probably Daniel Dennett and Stephen Pinker. In my opinion, however, most of the ideas that make up this most influential of popular themes are demonstrably false. I approach the issue by way of a critique of Daniel Dennett, who mounts perhaps the most sophisticated defense of such ideas. Dennett is charged with fudging the distinction between an instrumental and a realist adoption of the 'intentional stance' towards an entity. Other, more reductionist, positions are critiqued. I conclude with an outline of the philosophy of mind which underlies my approach, which may be termed 'paninteriorism', following Ken Wilber, and a sketch of what I think it would take to produce a sentient, aware computer or robot.
A Planar Horn Antenna for TM Surface Wave Launching using Substrate Integrated Waveguide Technology

We present a planar substrate integrated waveguide (SIW) horn antenna for efficient TM surface wave (SW) launching at microwave and millimeter-wave frequencies. A design approach is presented by selecting the correct substrate material and operating frequency as well as the SIW horn aperture. In addition, simulations and measurements of a demonstrator prototype for operation at 24 GHz are reported. This type of planar surface-wave launcher (SWL) can have multiple applications such as feeding leaky-wave antennas and other SW-based structures. The proposed SIW horn can also be used as a standalone antenna to radiate at end-fire.
Spectral Absorption Feature Analysis for Finding Ore: A Tutorial on Using the Method in Geological Remote Sensing

Geologists have been instrumental in shaping Earth observation satellite missions; likewise, geology has been the subject of many remote sensing studies [1]. Applications of optical remote sensing in geology date back to some early studies using the Earth Resources Technology Satellite-1, the predecessor of the Landsat satellite program [2]. In the 1980s, the seventh channel in the short-wave infrared (SWIR) of the Landsat thematic mapper program was added, as a result of spectroscopic mineral studies by geologists [58]. A subsequent satellite-borne instrument, the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), launched in 1999, had specific bands in the SWIR and thermal infrared dedicated to mapping mineral groups [3].
Linear Ion Trap Mass Spectrometer (LITMS) for in situ Astrobiology

The highly compact Linear Ion Trap Mass Spectrometer (LITMS) combines pyrolysis gas-chromatography/mass spectrometry (GCMS) and Mars-ambient laser desorption mass spectrometry (LDMS) through a single, miniaturized yet highly-capable linear ion trap mass analyzer. The LITMS instrument is based substantially on the Mars Organic Molecule Analyzer - Mass Spectrometer (MOMA-MS) for the 2020 ExoMars mission but features further analytical enhancements. In addition to the core MOMA capabilities, LITMS enhances the instrument performance by including negative ion detection, a dual frequency RF power supply to increase mass range, precision subsampling of drill cores at fine (≤ 1 mm) spatial scales, and pyrolysis of powdered sample for evolved gas analysis (EGA) of organic content and mineral assemblages. LITMS enables in situ characterization of inorganics and organics in individual rock core layers and features. This level of integrated analytical capability is critical to achieve advanced astrobiology objectives on Mars and other planets.
Functional Microwave Imagining System based on Cognitive Scanning for Brain Activities Monitoring: A Feasibility Study

In cognitive systems we need to make a supplementary link between architecture and supporting algorithms to exchange information and manage the extracted data. This paper presents a new concept of cognitive scanning using hybrid MIMO-phased array radar (HMPAR) for functional near-field imaging of brain activity in the framework of algorithm/architecture co-design. In the proposed paradigm, the communication challenges of cognitive scanning are concurrently searching, detecting and tracking the activated brain regions. The proposed system model is a HMPAR approach including MIMO array for target detection and MIMO-phased sub-array for tracking the detected targets in the allocated subarrays. In the current paper, we assess the feasibility of using a waveform and pattern (beam-forming and beam-steering) diversities for developing the proposed framework. In order to improve the resolution, contrast and accuracy of a characteristics target inside a biological phantom, some initial methods are employed for 1D time domain reflectometry (TDR) and 2D visualization. Simulated results show that the proposed framework could be feasible for functional microwave imaging application.
Why Programs Fail: A Guide to Systematic Debugging

This book is proof that debugging has graduated from a black art to a systematic discipline. It demystifies one of the toughest aspects of software programming, showing clearly how to discover what caused software failures, and fix them with minimal muss and fuss. The fully updated second edition includes 100+ pages of new material, including new chapters on Verifying Code, Predicting Erors, and Preventing Errors. Cutting-edge tools such as FindBUGS and AGITAR are explained, techniques from integrated environments like Jazz.net are highlighted, and all-new demos with ESC/Java and Spec#, Eclipse and Mozilla are included. This complete and pragmatic overview of debugging is authored by Andreas Zeller, the talented researcher who developed the GNU Data Display Debugger(DDD), a tool that over 250,000 professionals use to visualize the data structures of programs while they are running. Unlike other books on debugging, Zeller's text is product agnostic, appropriate for all programming languages and skill levels. The book explains best practices ranging from systematically tracking error reports, to observing symptoms, reproducing errors, and correcting defects. It covers a wide range of tools and techniques from hands-on observation to fully automated diagnoses, and also explores the author's innovative techniques for isolating minimal input to reproduce an error and for tracking cause and effect through a program. It even includes instructions on how to create automated debugging tools. The text includes exercises and extensive references for further study, and a companion website with source code for all examples and additional debugging resources is available. *The new edition of this award-winning productivity-booster is for any developer who has ever been frustrated by elusive bugs *Brand new chapters demonstrate cutting-edge debugging techniques and tools, enabling readers to put the latest time-saving developments to work for them *Learn by doing. New exercises and detailed examples focus on emerging tools, languages and environments, including AGITAR, FindBUGS, Python and Eclipse.
A Miniaturized Stop-Band Frequency Selective Surface Based on Sub-wavelength Slow-Wave Dipole

This work introduces a novel band-stop frequency selective surface (FSS) based on slow-wave dipoles. By controlling the dispersion of the slow-wave structure, the working frequency of the FSS could be controlled within 3 to 5 GHz without altering the dipole length. Beneficial from the slow-wave property, this design could reduce 18% length of the traditional rectangular dipole unit cell and eliminate the grating lobe effect.
Reconfigurable Wearable Antenna for Compensation of Detuning Effects

The presence of objects in proximity of a wearable antenna can detune its operation band. Such detuning effects through a metal object or a human tissue loading for a wearable antenna are firstly experimentally investigated in this paper. The antenna under test is a previously reported reconfigurable wearable antenna based on snap-on buttons with integrated tuning electronics. The empirical results suggest that the undesired frequency shifts will oscillate with varying distance from antenna to the loading object, but that the fractional detuning will generally remain below 8%. This provides general guidance for required compensation of the detuning effects through frequency tunability of the antenna. In addition, compensation for the observed detuning is further demonstrated using the antenna’s reconfigurability. The presented findings demonstrate that reconfigurable antennas can be beneficial to wearable wireless communication systems where complex dynamic surrounding conditions are expected.
VOIDGA: A View-Approximation Oriented Image Database Generation Approach

Figure 1.Comparison between the generated views (left and right) and the ground truth (middle) for the asteroid impact dataset yA31 at cycle time 29945. The orange and blue surfaces are contours of the temperature (0:2 eV) and water density field (0:002 g/cm3), respectively. The views have been approximated using only 24 depth images with a resolution of 5122 pixels, whereas the original triangulation has around 3 million triangles. Our approach first computes the position of each depth image pixel in world coordinates, and then renders the resulting geometry either via a point cloud (left) or a surface triangulation (right). The used depth images have been chosen with VOIDGA to bound the maximum approximation error for the current view.In this work, we propose a novel view-approximation oriented image database generation approach (VOIDGA) that enables the adequate generation of arbitrary views. Our approach utilizes Depth Image Based Rendering (DIBR) techniques to derive novel views based on a set of depth images. In contrast to approaches that store a huge amount of images to cover a wide range of possible view directions, VOIDGA identifies and stores only those images that significantly contribute to the overall view-approximation quality while bounding the resulting approximation error. This further reduces the size of image databases and the number of images that need to be processed by DIBR algorithms. We demonstrate VOIDGA on several challenging real-world examples, and compare our approximations against ground truth renderings using two image-based metrics.
Quality software management (vol. 2): first-order measurement

A method of coating a ferrous base metal with aluminum including cleaning the surface of the ferrous article by means of an aqueous solution of orthophosphoric acid having a concentration of about 5 to 85 percent. Subsequently, drying the surface to evaporate the water from said solution. Applying molten aluminum to the ferrous surface to establish a uniformly bonded aluminum coating by means of a layer of ferrous-aluminum intermetallic compound. The molten aluminum application being effected without any additional application of fluxing material to the ferrous surface after the cleaning operation.
Millimeter-Wave Dielectric Resonator Antenna With Enhanced Gain Using Ridge-Gap Waveguide

This paper proposes a dielectric resonator antenna (DRA) with ridge-gap waveguide (RGW) feeding, that operates at 30.24 GHz. The RGW presents very low losses rendering high gain and high efficiency to the antenna. To demonstrate the validity of the proposed structure, simulations are performed and they show a bandwidth of 3.5 GHz, high realized gain of 9.76 dBi, total efficiency of 95.17% and side-lobe level of -13 dB at 30.24 GHz. From the results presented, the proposed dielectric resonator antenna can be used for different applications starting from commercial, up to important defense needs, especially for 5G wireless applications.
Binär-logistische Regressionsanalyse : Grundlagen und Anwendung für Sozialwissenschaftler

Das Skript beschreibt die Durchfuhrung von binar-logistischen Regressionsanalysen in den Sozialwissenschaften unter Verwendung des Statistik-Programmpakets SPSS. Dabei wird erlautert, warum fur bestimmte Untersuchungen und fur bestimmte Datenanalysen in der sozialwissenschaftlichen Forschung nicht die klassische OLSRegressionsanalyse, sondern die logistische Regressionsanalyse (mit Maximum-Likelihood-Schatzverfahren) eingesetzt werden sollte. Es wird gezeigt, nach welcher internen Logik logistische Regressionsschatzungen verfahren, in welcher Weise diese Regressionsschatzungen mit SPSS durchgefuhrt werden konnen und wie die Ergebnisse von logistischen Regressionsanalysen zu interpretieren sind. Auch werden die haufigsten Probleme, die bei der Durchfuhrung von logistischen Regressionsanalysen auftreten konnen, vorgestellt, und es werden Moglichkeiten zur Identifikation und Beseitigung dieser Probleme aufgezeigt. This report describes how to conduct binary logistic regression analysis in social science research utilizing the statistical software package SPSS. It explains why certain social science problems and certain social science data should be analyzed by logistic regression (with maximum likelihood estimation techniques) and should not be analyzed by classical OLSregression procedures. The report informs about the internal logic of logistic regression estimation, shows how to handle logistic regression modeling in SPSS, and demonstrates how to interpret the results of logistic regression estimations. In addition, the paper specifies some of the most frequent problems when estimating logistic regression models and gives some advice how to detect und solve these problems.
Design of an Electromechanically Tunable CPW Phase Shifter

This study presents the design and loss assessment of a tunable, phase shifting coplanar waveguide (CPW) line. The phase shifter consists of a CPW transmission line with a metallic loading strip suspended on top. The gap between them can be precisely altered with the use of piezoelectric actuators. By decreasing the CPW line width, the S21 losses decrease by almost 1 dB, and S11 stay well below -10 dB in all designs. The structures have been simulated with CST Microwave Studio, and the simulated results demonstrate a total phase shift of more than 180 degrees in all designs with good loss performance.
Autonomous Orbital Rendezvous Using a Coordinate-Free, Nonsingular Orbit Representation

This paper develops a general method to execute orbital rendezvous in continuation of previous work, verifies it in simulations, and examines the effects of perturbations. The method uses a coordinate-free representation of the orbit as a basis for discrete feedback control and can be used autonomously to rendezvous to arbitrary target orbits. Rendezvous is accomplished in two distinct phases where the spacecraft state is split into a 5 degree-of-freedom orbit and an along-track position, which the algorithm matches separately in an orbit matching and phasing maneuver, respectively. The 5 DoF portion of the state is represented by the angular momentum and eccentricity vector of the orbit, along with the orbital energy. These quantities offer several qualities that make them attractive for use in closed-loop control. They do not depend on coordinate representation, are nonsingular, and are stationary in the dynamic steady-state of no applied forces. Further, their dynamics are governed by simple equations, leading to a simple transition matrix. A metric that represents the relative distance between the spacecraft and the target orbit determines when the orbit-matching phase is complete. Then a phasing maneuver slightly changes the relative orbit such that the follower catches up to or falls back to the leaders along-track position. Once within a short distance of the target position, the spacecraft enters a close-proximity mode that utilizes a previously developed state transition matrix of relative motion on elliptical orbits for higher precision. Simulation results permit a comparison of Δ$V$ to that of other techniques. The primary benefits of this method are that it can be used for arbitrary orbits, executes autonomously, and avoids limitations by either singularities or linearized dynamics. This efficient, autonomous method for executing orbital rendezvous developed in this paper improves the feasibility and robustness of small spacecraft missions because it does not require a dedicated ground station or constant communication during maneuver execution.
A Large Data Visualization Framework for SPARC64 fx HPC Systems - Case Study: K Computer Operational Environment -

Leading-edge supercomputer systems have been designed to achieve the highest computational performance possible for running a wide variety of large-scale simulations, and the pre- and post-processing are usually not considered in the main design feature. Although supercomputer systems may have peculiar CPU architecture, the auxiliary computational systems tend to use commodity based hardware and software in the form of servers and clusters. In the case of the K computer operational environment, at RIKEN R-CCS, the supercomputer itself is based on SPARC64 fx CPU architecture, and pre- and post-processing servers are based on traditional x86 CPU architecture. In this poster we present a large data visualization environment developed for this peculiar HPC operational environment, presenting some of the efforts made to meet the large data visualization needs. It is publicly known that the next-generation leading-edge Japanese supercomputer will abandon this CPU architecture in favor of another architecture, but we expect that some of the knowledge obtained in this development will also be useful for this future coming supercomputer system.
Analysis of Identity Management Systems Using Blockchain Technology

The emergence of Blockchain technology as the biggest innovations of the 21stcentury, has given rise to new concepts of Identity Management to deal with the privacy and security challenges on the one hand, and to enhance the decentralization and user control in transactions on Blockchain infrastructures on the other hand. This paper investigates and gives analysis of the most popular Identity Management Systems using Blockchain: uPort, Sovrin, and ShoCard. It then evaluates them under a set of features of digital identity that characterizes the successful of an Identity Management solution. The result of the comparative analysis is presented in a concise way to allow readers to find out easily which systems satisfy what requirements in order to select the appropriate one to fit into a specific scenario.
Open-Stopband Suppression and Cross-Polarization Reduction of a Substrate Integrated Waveguide Leaky-Wave Antenna

Most leaky-wave antennas (LWAs) suffer from significant gain degradation when the main beam points towards broadside. This is because an open stopband (OSB) restricts broadside radiation. In this paper, a method to suppress the OSB of a periodic substrate integrated waveguide (SIW) LWA is discussed. By simultaneously introducing a slot and a partially radiating wall in each unit cell the impedance in the OSB region has been matched and hence a continuous beam scan through broadside is achieved. The developed LWA can scan its main beam from - 74° continuously to +40° when the frequency varies from 7.45 to 10.55 GHz, with a broadside gain and a level of cross-polarization for the broadside beam of 10.8 dBi and −21.37 dB, respectively.
D-Band Slot Array Antenna Using Combined Ridge and Groove Gap Waveguide Feeding Network

In this paper, the design of a cavity-backed slot array antenna based on combination of ridge and groove gap waveguide for D-band applications is investigated. The proposed subarray has 2×2 slots with impedance bandwidth of 20 % covering from 127 GHz to 155 GHz. A feeding network combining groove gap waveguide and ridge gap waveguide has been proposed also in this work. The feed network has been designed as a combination of ridge gap waveguide and E-plane groove gap waveguide to reduce the losses in the feed network of a large antenna array, thereby increasing the total efficiency of the array antenna.