Miracle-dz/UniFAR-FTUs huggingface dataset:
Handbook of microwave integrated circuits

157 References References (1) F. Gardiol, Microstrip Circuits. New York 164 References (69) R. K. Hoffmann, Handbook of Microwave Integrated Circuits. random pressure fields using covariance and spectral proper transformations " pdf. tivity of Printed Circuit Board (PCB) substrates is important in modern ipc.org/4.0 Knowledge/4.1 Standards/test/2.5. 5.6. pdf. (5) D. L. Wynants, “Dk or (16) R. K. Hoffmann, Handbook of microwave integrated circuits. Norwood. ( pdf / doi: 10.7567/APEX.8.011101 / IF: 2.567 ) Times cited: 1. 628 Martin Heilmann, Björn Hoffmann, Carsten Ronning, Marius Grundmann, Silke Christiansen Handbook of Zinc Oxide and Related Materials, Vol. Metal-semiconductor field-effect transistors and integrated circuits based on ZnO and related oxides
Efficiency of a Directly Driven Generator for Hydrokinetic Energy Conversion

An experimental setup for hydrokinetic energy conversion comprising a vertical axis turbine, a directly driven permanent magnet generator, and a control system has been designed and constructed for deployment in the river Dalälven in Sweden. This paper is devoted to discussing the mechanical and electrical design of the generator used in the experimental setup. The generator housing is designed to be water tight, and it also acts as a support structure for the turbine shaft. The generator efficiency has been measured in the range of 5–16.7 rpm, showing that operation in the low velocity range up to 1.5 m/s is possible with a directly driven generator.
A general framework for straightforward model construction of multi-component thermodynamic equilibrium systems

Mathematical modelling of molecular systems helps elucidating complex phenomena in (bio)chemistry. However, equilibrium conditions in systems consisting of more than two components can typically not be analytically determined without assumptions and resulting (semi-)numerical models are not trivial to derive by the non-expert. Here we present a framework for equilibrium models that utilizes a general derivation method capable of generating custom models for complex molecular systems, based on the simple, reversible reactions describing these systems. Several molecular systems are revisited via the framework and demonstrate the simplicity, the generality and validity of the approach. The ease of use of the framework and the ability to both analyze systems and gain additional insights in the underlying parameters strongly aids the analysis and understanding of molecular equilibrium systems. This conceptual framework severely reduces the time and expertise requirements which currently impede the broad integration of these highly valuable models into chemical research.
Physicochemical Investigation of Biosynthesis of a Protein Coating on Glass That Promotes Mammalian Cell Growth Using Lactobacillus rhamnosus GG Bacteria

Glass surfaces, although the first to be used for culturing ex vivo adherent cells, are not the perfect substrates for this purpose. Today, plastics dominate these applications, but in light of the global trend to reduce the use of synthetic polymers, it is reasonable to consider a return to glass vessels with coatings for these purposes. The ideal surface for cell growth is one that simulates the composition and structure of the mainly protein-based intercellular matrix. The work presented here shows a new idea of preparing porous protein coatings on glass using biosynthesis. The process utilizes the colonization of the gold nanoparticle-coated glass surface with Lactobacillus rhamnosus GG bacteria, followed by permeabilization (using ethanol) of their membrane and partial thermal degradation (at 160 °C in vacuum) of the surface-bound protein components of these microorganisms. It results in a development of coating on the glass that promotes mammalian cell growth, which has been preliminary confirmed using Vero cells. Subsequent steps in the formation of coating components were documented by reflectance ultraviolet and visible spectra and infrared spectroscopy. The presence of microorganisms and mammalian cells was confirmed using scanning electron and optical microscopy and crystalline violet staining.
All‐optical frequency up‐conversion for WLAN over fiber applications

This paper investigates up‐conversion of a 54‐Mb/s 802.11a WLAN signal in a radio‐over‐fiber (RoF) link. The frequency conversion is realized using either a DFB laser diode or an electro‐optical modulator (EOM) (both biased in nonlinear regimes). Very low error‐vector magnitude (EVM) measurements are reported at minimum of transmission of electro‐optical modulator for a large 802.11a input power range, and an acceptable EVM degradation is obtained using the cost‐effective LD mixing technique, but with a limited input power range. © 2006 Wiley Periodicals, Inc. Microwave Opt Technol Lett 48: 421–424, 2006; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.21369
Stitching and Geometric Modeling Approach Based on Multi-Slice Satellite Images

Time delay and integration (TDI) charge-coupled device (CCD) is an image sensor for capturing images of moving objects at low light levels. This study examines the model construction of stitched TDI CCD original multi-slice images. The traditional approaches, for example, include the image-space-oriented algorithm and the object-space-oriented algorithm. The former indicates concise principles and high efficiency, whereas the panoramic stitching images lack the clear geometric relationships generated from the image-space-oriented algorithm. Similarly, even though the object-space-oriented algorithm generates an image with a clear geometric relationship, it is time-consuming due to the complicated and intensive computational demands. In this study, we developed a multi-slice satellite images stitching and geometric model construction method. The method consists of three major steps. First, the high-precision reference data assist in block adjustment and obtain the original slice image bias-corrected RFM to perform multi-slice image block adjustment. The second process generates the panoramic stitching image by establishing the image coordinate conversion relationship from the panoramic stitching image to the original multi-slice images. The final step is dividing the panoramic stitching image uniformly into image grids and employing the established image coordinate conversion relationship and the original multi-slice image bias-corrected RFM to generate a virtual control grid to construct the panoramic stitching image RFM. To evaluate the performance, we conducted experiments using the Tianhui-1(TH-1) high-resolution image and the Ziyuan-3(ZY-3) triple liner-array image data. The experimental results show that, compared with the object-space-oriented algorithm, the stitching accuracy loss of the generated panoramic stitching image was only 0.2 pixels and that the mean value was 0.799798 pixels, achieving the sub-pixel stitching requirements. Compared with the object-space-oriented algorithm, the RFM positioning difference of the panoramic stitching image was within 0.3 m, which achieves equal positioning accuracy.
Estimating the Benefits of considering Travel Time Variability in Urban Distribution

Urban distribution systems typically require carriers to deliver goods to receivers within specified time windows. This paper presents procedures that allow the variable nature of travel times to be incorporated within optimization methods for the vehicle routing problem with time windows. Expressions are presented for determining the penalty costs associated with truck arrivals at customer locations with time windows when the travel times between customers are normally distributed. Formulations of this problem using stochastic programming and robust optimization (RO) are presented. Stochastic programming procedures require numerical integration techniques to be used and thus are computationally demanding. However, RO allows solutions to be generated with only a limited number of travel time scenarios between customers and, thus provides a practical means of incorporating travel time variability. A procedure was developed for estimating the cost savings of implementing the RO solution. The benefits of explicitly considering the variability of travel times between customers were estimated using a case study based on a distribution problem in Melbourne, Australia.
I, We, and They: A Linguistic and Narrative Exploration of the Authorship Process

Introduction While authorship plays a powerful role in the academy, research indicates many authors engage in questionable practices like honorary authorship. This suggests that authorship may be a contested space where individuals must exercise agency--a dynamic and emergent process, embedded in context--to negotiate potentially conflicting norms among published criteria, disciplines, and informal practices. This study explores how authors narrate their own and others’ agency in making authorship decisions. Method We conducted a mixed-methods analysis of 24 first authors’ accounts of authorship decisions on a recent multi-author paper. Authors included 14 females and 10 males in health professions education (HPE) from U.S. and Canadian institutions (10 assistant, 6 associate, and 8 full professors). Analysis took place in three phases: (1) linguistic analysis of grammatical structures shown to be associated with agency (coding for main clause subjects and verb types); (2) narrative analysis to create a “moral” and “title” for each account; and (3) integration of (1) and (2). Results Participants narrated other authors most frequently as main clause subjects (n = 191), then themselves (I; n = 151), inanimate nouns (it, the paper; n = 146), and author team (we; n = 105). Three broad types of agency were narrated: distributed (n = 15 participants), focusing on how resources and work were spread across team members; individual (n = 6), focusing on the first author’s action; and collaborative (n = 3), focusing on group actions. These three types of agency contained four sub-types, e.g., supported, contested, task-based, negotiated. Discussion This study highlights the complex and emergent nature of agency narrated by authors when making authorship decisions. Published criteria offer us starting point--the stated rules of the authorship game; this paper offers us a next step--the enacted and narrated approach to the game.
Progress in the development of the DTMROC time measurement chip for the ATLAS Transition Radiation Tracker (TRT)

A 16-channel digital time-measurement readout chip (DTMROC) has been fabricated in the TEMIC/DMILL BI-CMOS radiation-hard process for the Large Hadron Collider (LHC) Transition Radiation Tracker (ATLAS/TRT) at CERN. The chip receives discriminated straw-drift-tube signals from bipolar amplifier-shaper-discriminator chips (ASDBLR), measures the arrival time in 3.125 ns increments (/spl plusmn/1 ns), and stores the data in a pipeline for 3.3 /spl mu/s. A trigger signal (L1A) causes the data to be tagged with a time stamp and stored for readout. Up to 13 events may be stored in an on-chip buffer while data is being clocked out in a 40 MHz serial stream. The chip has been designed to function after exposure to 1/spl times/10/sup 14/ protons/cm/sup 2/ and 1 Mrad total dose. System beam-tests have demonstrated measurement of track positions with a resolution of 165 /spl mu/m and 85% efficiency at rates up to 18 MHz.
KINEMATIC COMPARISON OF THE OVERGRIP AND UNDERGRIP DISMOUNT GIANT SWINGS ON THE UNEVEN BARS

INTRODUCTION: Uneven bar dismounts are executed from either overgrip or undergrip giant swings. Gymnasts performing either of these two styles of dismounts attempt to optimize release conditions by incorporating a beat swing associated with hip joint motion. The purpose of this study was to quantify projectile determinants, and swing and beat characteristics of the overgrip and undergrip dismount giant swings on the uneven bars. METHODS: Thirteen (seven undergrip and six overgrip) giant swings, were recorded during the 1994 World Gymnastics Championships (Dortmund, Germany) with 2 video cameras operating at 50 Hz. They were analyzed utilizing the Ariel Performance Analysis System (APAS). Three dimensional position data of 12 body points (ankles, knees, hips, shoulders, elbows, and hands) and a point on the top bar were digitally smoothed before being submitted to further analysis. RESULTS: Results showed no significant differences between overgrip and undergrip dismount giant swings in terms of center of mass (CM) maximum and release angular velocities, CM position, and CM horizontal and vertical release velocities. Radius of gyration at release, reflecting body configuration, was significantly different (51.6 vs. 58.8 % of height for undergrip and overgrip dismount giants, respectively; ). There were significant differences in the mechanics of the beat swing in terms of both magnitude of hip joint range of motion (111 vs. 65 degrees for undergrip and overgrip dismount giants, respectively; ), and timing of the beat swing (starting in the first quadrant for the overgrip and second quadrant for the undergrip dismount giants; and finishing in the second quadrant for the overgrip and third quadrants for the undergrip dismount giants; ). CONCLUSION: Results indicate that overgrip and undergrip giant swings generated similar projectile determinants for uneven bars dismounts. There were, however, significant differences between the two swings in the timing and magnitude of the hip joint beat action which partially generates the projectile determinants.
Effects of Time Delay Between Unipolar Pulses in High Frequency Nano-Electrochemotherapy

Objective: this work focuses on bleomycin electrochemotherapy using new modality of high repetition frequency unipolar nanosecond pulses. Methods: As a tumor model, Lewis lung carcinoma (LLC1) cell line in C57BL mice (n = 42) was used. Electrochemotherapy was performed with intertumoral injection of bleomycin (50 μL of 1500 IU solution) followed by nanosecond and microsecond range electrical pulse delivery via parallel plate electrodes. The 3.5 kV/cm pulses of 200 and 700 ns were delivered in a burst of 200 at frequencies of 1 kHz and 1 MHz. For comparison of treatment efficiency, a standard 1.3 kV/cm x 100 μs x 8 protocol was used. Results: It was shown that it is possible to manipulate the efficacy of unipolar sub-microsecond electrochemotherapy solely by the time delay between the pulses. Significance: the results suggest that the sub-microsecond range pulses can be as effective as the protocols in European Standard Operating Procedures on Electrochemotherapy (ESOPE) using 100 μs pulses.
Modeling, Simulation and Development of Supervision Control System for Hybrid Wind Diesel System

A simulation-based research work on developing supervision control system for hybrid wind diesel system (HWDS) is presented. Simulation models of HWDS based stand-alone system and micro-grid systems are developed with different types of generators for a fully-rated converter based wind energy conversion system (WECS). A multi-variable control system is developed and implemented into the simulation models of HWDS. An appropriate control system is developed for each generator chosen for the WECS in the HWDS. This control system optimizes the power generation and ensures power sharing between the two sources. A control system for load voltage regulation and power system frequency regulation is developed and implemented to maintain the power quality at optimum level. An improved maximum power point tracking control scheme is simulated to achieve maximum power generation from the available wind. Also a governor control system is simulated for the diesel generation system. In this work, HWDS based standalone system and micro-grid system is simulated to study the performance of the developed control system. The complete HWDS is modeled and simulated in a MATLAB Simulink environment. Simulation results to validate the performance of the developed control system are presented.
Charge equalization for an electric vehicle battery system

Charge equalization for series connected battery strings has important ramifications on battery life. It enhances the uniformity of the battery cells and hence improves the life of the battery as a whole. A new charge equalization technique for a series string of battery cells has been recently proposed by the authors. The basic technique utilizes a simple isolated dc-to-dc converter with a capacitive output filter along with a multiwinding transformer. The possibility of integrating the trickle charge function with the charge equalization function is potentially very attractive, as it can lead to an efficient and low cost implementation.
Vehicle Type Classification Using Hybrid Features and a Deep Neural Network

Currently, considerable research has been done in vehicle type classification, especially due to the success of deep learning in many image classification problems. In this research, a system incorporating hybrid features is proposed to improve the performance of vehicle type classification. The feature vectors are extracted from the pre-processed images using Gabor features, a histogram of oriented gradients and a local optimal oriented pattern. The hybrid set of features contains complementary information that could help discriminate between the classes better, further, an ant colony optimizer is utilized to reduce the dimension of the extracted feature vectors. Finally, a deep neural network is used to classify the types of vehicles in the images. The proposed approach was tested on the MIO vision traffic camera dataset and another more challenging real-world dataset consisting of videos of multiple lanes of a toll plaza. The proposed model showed an improvement in accuracy ranging from 0.28% to 8.68% in the MIO TCD dataset when compared to well-known neural network architectures.
REAL-TIME INCIDENT TRAFFIC MANAGEMENT METHODOLOGIES

In this thesis, the author presents real-time incident traffic management solution methodologies that take into account the dynamic and stochastic behavior of transportation networks. A deterministic dynamic traffic assignment (DTA) methodology is developed which heuristically produces time-dependent alternate routes around incidents to be displayed using variable message signs (VMS) based on a deterministic estimate of demand and incident severity. A reactive feedback approach that does not require an explicit estimation of demand and system disturbances is developed. In addition, a multistage stochastic DTA methodology with recourse is developed for computing time-dependent alternate routes around freeway incidents to be disseminated using VMS and in-vehicle devices. Finally, the author presents a heuristic real-time signal optimization approach for updating traffic signal timing plans.
GPS and Stereovision-Based Visual Odometry: Application to Urban Scene Mapping and IntelligentVehicle Localization

We propose an approach for vehicle localization in dense urban environments using a stereoscopic system and a GPS sensor. Stereoscopic system is used to capture the stereo video flow, to recover the environments, and to estimate the vehicle motion based on feature detection, matching, and triangulation from every image pair. A relative depth constraint is applied to eliminate the tracking couples which are inconsistent with the vehicle ego-motion. Then the optimal rotation and translation between the current and the reference frames are computed using an RANSAC based minimization method. Meanwhile, GPS positions are obtained by an on-board GPS receiver and periodically used to adjust the vehicle orientations and positions estimated by stereovision. The proposed method is tested with two real sequences obtained by a GEM vehicle equipped with a stereoscopic system and a RTK-GPS receiver. The results show that the vision/GPS integrated trajectory can fit the ground truth better than the vision-only method, especially for the vehicle orientation. And vice-versa, the stereovision-based motion estimation method can correct the GPS signal failures (e.g., GPS jumps) due to multipath problem or other noises.
Finite precision design of optimal linear phase 2-D FIR digital filters

An algorithm is proposed for the design of optimal two-dimensional finite impulse response (2-D FIR) digital filters with finite wordlength and linear phase. This algorithm associates linear programming and a branch-and-bound technique for which two strategies are compared. A large number of examples are presented which show the efficiency of the method for the design of 2-D FIR filters with different specifications and sizes, up to 9*9 in the case of a circularly symmetric contour and up to 13*13 for diamond-shaped filters. Two different types of quantization are also considered. >
Seasonal Autoregressive Integrated Moving Average and Support Vector Machine Models

Predictions of short-term traffic volume support proactive transportation management and traveler information services. To address the periodicity, nonlinearity, uncertainty, and complexity of short-term traffic forecasting, seasonal autoregressive integrated moving average (SARIMA) and support vector machine (SVM) models are often used separately to forecast the time series of traffic flow. SARIMA can discover intrinsic relations (correlations) in time series data, especially fit for modeling seasonal, stochastic time series. In contrast, SVM has a strong nonlinear mapping ability for input and output, appropriate for solving complex, nonlinear problems. The few combined schemes that have been presented previously tend to be complicated. A simple and effective novel hybrid methodology that combines the SARIMA and SVM models is proposed to take advantage of the individual strengths of the two models. Two key issues in building a hybrid model process are discussed: identification of SVM input dimensions via SARIMA and parameter optimization of the hybrid model with particle swarm optimization. Experimental results with real-world data sets indicated that the hybrid model was superior to the individual SARIMA or SVM model in terms of root mean square error and mean absolute percentage error for the prediction of the short-term traffic flow.
A Proposal of Grammar-Concept Understanding Problem in Java Programming Learning Assistant System

Nowadays, Java has been extensively adopted in practical IT systems as a reliable and portable objectoriented programming language. To encourage self-studies of Java programming, we have developed a Web-based Java Programming Learning Assistant system (JPLAS). JPLAS provides several types of exercises to cover different levels. However, any type does not question grammar concepts of a source code directly, although it can be the first step for novice students. In this paper, we propose a GrammarConcept Understanding Problem (GUP) as a new type in JPLAS. A GUP instance consists of a source code and a set of questions on grammar concepts or behaviors of the code. Each answer can be a number, a word, or a short sentence, whose correctness is marked through string matching with the correct one. We present the algorithm to automatically generate a GUP instance from a given source code by: 1) extracting the registered keywords in the code, 2) selecting the registered question corresponding to each keyword, and 3) detecting the data required in the correct answer from the code. As for evaluations, we first generate 20 GUP instances with a total of 99 questions from simple codes on fundamental Java grammar, and assign them to 100 university students in Indonesia. On the other hand, we additionally generate 8 instances with a total of 30 questions, and assign all the instances to 29 undergraduates in Myanmar as the comparative study. The results show that the proposal is effective to improve the performance of the students who are novices in Java programming.