Miracle-dz/UniFAR-FTUs huggingface dataset:
Benutzerschnittstelle und Eingabemedien für den CRIGOS Chirurgieroboter

Bei orthopädischen Eingriffen werden zunehmend computergestützte Chirurgiesysteme eingesetzt, um eine höhere Genauigkeit und geringere Streuung bezüglich geometrischer Zielvorgaben im Vergleich zum konventionellen Vorgehen zu erreichen. Dabei kommen u.a. Chirurgieroboter zum Einsatz, welche Teilhandlungen am Patienten autonom ausführen (z.B. [1]). Die exakte Reproduktion der Operationsplanung durch das genaue und reproduzierbare Bearbeiten knöcherner Strukturen wird dabei ein wesentlicher Vorteil dieser Systeme angesehen. Der Operationsplanung kommt hier ein besonderer Stellenwert zu, insbesondere hinsichtlich der Genauigkeit der Planung sowie der Vermeidung von Benutzerfehlem bei der Mensch-Computer Interaktion. Benutzerfehler sind jedoch in der Regel auf eine Nichtanpassung des Systems an die menschlichen Fähigkeiten und Eigenschaften zurück zu führen. So weisen Untersuchungen von menschlichen Fehlern und deren Auswirkung darauf hin, dass eine Reihe von systematischen Fehlern einer ungenügenden Gestaltung des medizinischen Arbeitssystems zuzurechnen sind [2]. Die benutzergerechte Gestaltung von Chirurgiesysteme ist daher ein wesentlicher Beitrag zur Erhöhung von Effektivität, Effizienz und der menschlichen Zuverlässigkeit im System [3].
Life-Cycle Analysis of Aircraft Turbine Engines

Abstract : The report presents a methodology enabling the weapon system planner to acquire early visibility of cost magnitudes, proportions, and trends associated with a new engine's life cycle, and to identify 'drivers' that increase cost and can have the effect of lowering capability. Later in the life cycle, logistics managers can use the methodology and the feedback it produces for more effective system management. The procedure followed was to: develop a theoretical framework for each phase of the life cycle; collect and analyze data for each phase; develop parametric cost-estimating relationships (CERs) for each phase; use the CERs in examples to ascertain behavior and obtain insights into cost magnitudes, proportions, and trends, and to identify cost-drivers and their effects; and examine commercial experience for cost data and operational and maintenance practices that could be profitable for the Air Force. (Author)
DEVELOPMENT OF A CORE THERMO-FLUID ANALYSIS CODE FOR PRISMATIC GAS COOLED REACTORS

A new computer code, named CORONA (Core Reliable Optimization and thermo-fluid Network Analysis), was developed for the core thermo-fluid analysis of a prismatic gas cooled reactor. The CORONA code is targeted for whole-core thermo-fluid analysis of a prismatic gas cooled reactor, with fast computation and reasonable accuracy. In order to achieve this target, the development of CORONA focused on (1) an efficient numerical method, (2) efficient grid generation, and (3) parallel computation. The key idea for the efficient numerical method of CORONA is to solve a three-dimensional solid heat conduction equation combined with one-dimensional fluid flow network equations. The typical difficulties in generating computational grids for a whole core analysis were overcome by using a basic unit cell concept. A fast calculation was finally achieved by a block-wise parallel computation method. The objective of the present paper is to summarize the motivation and strategy, numerical approaches, verification and validation, parallel computation, and perspective of the CORONA code.
Determination of S–N curves with the application of artificial neural networks

The present paper describes the application of artificial neural networks for estimating the finite-life fatigue strength and fatigue limit. A comprehensive database with results of single-stage tests on specimens which simulate structural components is evaluated and prepared for processing with the use of neural networks. The available data are subdivided into different classes. A total of six different data classes are specified. The results of the prediction by means of neural networks are superior to those obtained with conventional methods for calculating the fatigue strength. The experimental results are estimated with high accuracy.
A method to avoid negative damped low frequent tower vibrations for a floating, pitch controlled wind turbine

Wind turbines mounted on floating platforms is subjected to completely different and soft foundation properties, than seen for onshore wind turbines. This leads to much lower natural frequencies, related to the rigid body motion of the structure which again leads to an unfavorable coupling between tower motion and the pitch control of the turbine. The tower motion in combination with the aerodynamics and the pitch control will be poor or even negative damped which causes large transient loads if not accounted for. The reason for this low damping is shown to be caused by a too fast pitch regulation compared to the motion of the tower or in other words the lowest control-structure natural frequency must be lower than the lowest critical tower frequency. A control algorithm is presented including the tuning method (pole-placement) to ensure the desired control frequency which provides stable tower vibration modes.
Aging, contraction, and cohesion in a religious order: A policy analysis

This article is a study of problems of contraction and cohesion in the Order of the Servants of Mary. Focusing on the history of the Order since the Second Vatican Council (1962-1965), it seeks to uncover the dynamics that underlie these problems and to recommend broad directions for future policy. The logical level of the policy recommendations conforms with that of the analysis, which concentrates on a few highly aggregated driving forces.
Compact slot resonator‐based photonic bandgap for coplanar waveguide and its application to bandstop filter

One‐dimensional slot resonator‐based photonic bandgap for coplanar waveguide (SR‐PBG‐CPW) is proposed in this paper. The SR‐PBG‐CPW unit is realized by replacing the conventional rectangular holes on ground plane with a slot resonator. The proposed SR‐PBG‐CPW unit exhibits more excellent bandgap and slow‐wave characteristics and better selectivity at cutoff frequency than the conventional PBG‐CPW unit. Furthermore, the SR‐PBG‐CPW is applied effectively to design a bandstop filter. Comparison between simulations and measurement confirms the validity of the proposed filter configuration and design procedure. © 2006 Wiley Periodicals, Inc. Microwave Opt Technol Lett 48: 1602–1606, 2006; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.21696
Distributed fieldbus and control network systems

One of the fastest growing market segments among control and automation technologies is the introduction and development of control network systems. Although fieldbus systems have been used for several years in industrial automation, control network systems opened the market to different application areas, such as home and building automation. The current activities in both fieldbus and control network systems are causing confusion amongst companies and consumers using control equipment. The article shows the differences between fieldbus and control network systems, considers the different application areas, reviews the most popular control systems, and provides useful contact addresses for further inquiries.
Rectangular waveguide fed DRA using tapered waveguide section

A novel technique for coupling enhancement of rectangular waveguide fed hemispherical dielectric resonator antenna (DRA) is presented in this article. Waveguide with tapered section at the end is terminated by a thick ground plane and a slot is cut at the center of the ground plane for exciting the DRA. Introduction of tapering at the end of the waveguide provides substantial improvement in matching between the waveguide and DRA. The effects of different antenna parameters on return loss characteristics are studied. The experimental results show reasonable agreement with simulated results. © 2015 Wiley Periodicals, Inc. Microwave Opt Technol Lett 57:2025–2028, 2015
Artificial Neural Network Compensation for an Optical Fiber Micro-Displacement Sensor in Positioning System

The present work investigates an optical fiber micro-displacement sensor based on artificial neural network. Owing to the micro-displacement sensor was affected by the variations and noises seriously, the artificial neural network was introduced to the micro-displacement sensor as compensation method, experimental results and numerical simulation indicated that the micro-micro-displacement sensor with artificial neural network could enhance the nonlinear correction for sensor and decrease the interferences effectively. Simultaneously, by way of the contrast test of the different neural network, experimental results showed that the linearity of full scope could reach 0.2% for micro-micro-displacement sensor based on BRF network, and concluded the BRF network was more suitable for compensation of optical micro-displacement sensor.
A review of moment-resistant structural timber connections

This paper presents a review of methods which can be employed for the formation of concealed moment-resisting connections in timber structures. The review considers technologies and connection systems which are commercially available and also those under development. It is concluded that the wide range of structural timber connection systems can be categorized into five generic types: concealed bonded-in rods, concealed bonded-in plates, adhesive bonded surface contact joints, timber connectors within lapped joints and dowel-type connections.
Corresponding Characteristics and Circumstances of Collision-Involved Pedestrians in Hawaii

Correspondence analysis is used to explore the relationships between the characteristics and circumstances of collision-involved pedestrians in Hawaii. The purpose of this study is twofold. First, it is to apply and understand how best to use a powerful exploratory data technique (correspondence analysis) for safety research. The second purpose is to understand better the nature and causes of pedestrian accidents. The circumstances associated with pedestrian fault, serious injury, and the effects of location and temporal factors are examined. Correspondence analysis is a technique that allows one to examine the relationships between various discrete or categorical variables and to consider the effects of gender, age groupings, time, and location on pedestrian fault and injury. The technique is useful not only in clarifying the important relationships but also in designing appropriate strategies and interventions for the reduction of pedestrian accidents. The analysis suggests that greater emphasis be directed toward drivers, who are 13.8 times more likely to be classified as being at fault than the pedestrian they collide with. It is also evident that there are differences between seniors and other pedestrians in terms of injuries sustained. Moreover, specified programs might be targeted to men, children, and young adults.
Designing power divider by combining wilkinson and gysel structure

By combining a Wilkinson and a Gysel power divider (PD), a two-way PD has been designed, which contains two load resistors and one resistor between two output ports. There is a trade-off between the bandwidth and heat-handling capability for this proposed PD. For demonstration, one example PD is given. It has both acceptable bandwidth (about 66%) and acceptable heat-handling capability.
Ground moving target imaging algorithm for single channel airborne CSSAR

Airborne circular stripmap synthetic aperture radar (CSSAR) has the advantages of short revisit time and large coverage, and thus is an attractive tool for wide area surveillance. A novel ground moving target imaging algorithm for single channel airborne CSSAR is proposed. The proposed algorithm can be implemented without knowing a target’s motion parameters. Simulation results indicate that moving targets can be well focused by the proposed algorithm.
A novel full‐wave CAD for the design of tapered leaky‐wave antennas in hybrid waveguide printed‐circuit technology

This work presents a novel computer‐aided design (CAD) tool for the design of tapered leaky‐wave antennas (LWAs) in hybrid waveguide printed‐circuit technology. The software package is composed of several tools, which are connected together to provide a semi‐automated step‐by‐step design procedure. The design procedure is presented and the different tools are described, together with the involved theory, leading to the design of tapered LWAs. A practical taper design is performed, and comparisons with simulations using commercial software (HFSS) are presented for validation purposes. Due to the full‐wave nature of the technique used in the analysis engine, excellent agreement is shown between the proposed 2D‐based approach, and 3D HFSS results. Also, the analysis procedure is fast, thus leading to semi‐automated designs that are not affordable with common 3D optimization techniques. © 2006 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2006.
Ultrafast polarisation-independent all-optical switching using a polarisation diversity scheme in the nonlinear optical loop mirror

Polarisation-independent 32 to 8 Gbit/s demultiplexing in the nonlinear optical loop mirror is successfully demonstrated using a novel polarisation diversity scheme in which two independent switching operations are performed along the two principal axes of a polarisation-maintaining fibre loop. The variation of the switched signal powers is measured to be less than 1 dB as the input polarisation direction is varied over 180°.
Discussion of “Principles of Exploratory Data Analysis in Problem Solving: What Can We Learn from a Well-Known Case?”

It is an honor and a pleasure to take part in the discussion of this important article on the much neglected topic of exploratory data analysis. Jeroen de Mast and Benjamin Kemper are to be commended for not only addressing the world of found data (what statisticians=analysts=engineers routinely confront) but for providing a framework for systematic interrogation of otherwise seemingly disparate information. The authors creatively blend modern graphical methods with ontological mental models as the foundation for discovery and knowledge acquisition in observational studies. They also strongly emphasize cooperation between the subject matter experts and the analyst to combine relative strengths as the key for forward progress. What was somewhat necessary for the purposes of unfolding the proposed template for exploratory data analysis (EDA), a stark contrast between EDA studies and confirmatory data analysis (CDA) experiments, is the focus of this discussion. Though it may be convenient to bucket data analysis exercises as either EDA or CDA, many, if not most, times projects consist of some combination of experiment and observation. So, analysts operate in environments requiring EDA and CDA, not EDA or CDA. Most of what follows addresses rationale for integrating EDA with CDA, common ground between the two, and how well-intentioned-butawry CDA can benefit from the EDA methodology proposed by de Mast and Kemper. Before commenting on conditions for experiment and observation, I would like to highlight some of the many contributions of the article. The authors provide a valuable construct for gaining understanding by iterating between mental models and various distribution-centric graphics. This method should serve as the model for purely observational studies, when no prior hypotheses exist. The complete diagram (de Mast and Kemper, Figure 6), involving iterative data gathering when salient features cannot be resolved, is a sound roadmap. Box et al. (2005) contains a similar general discovery procedure using induction and deduction iteration, but it is the details and applications to EDA that make the proposed method abundantly useful. Address correspondence to James R. Simpson, Group Operations Analyst, 53rd Test Management Group, Eglin Air Force Base, FL. E-mail: james.simpson@eglin.af. mil Quality Engineering, 21:376–379, 2009 Copyright # Taylor & Francis Group, LLC ISSN: 0898-2112 print=1532-4222 online DOI: 10.1080/08982110903188292
Vessel Anchor Dragging early Warning System Based on Cable Vibration Frequency Analysis

Anchor dragging threatens vessel anchoring security directly, so how to find and predict anchor drgging is an important issue of navigation fields. Most existing judgement methods depend on distinguishing feature of dragging vessel from normal anchoring, so vessels usually have moved a certain distance when duty officers find anchor dragging. Thus it is necessary to develop a practical anchor dragging early warning techonology. Based on the special change of anchor cables. Vibration frequency while anchor dragging, a new anchor dragging early warning system (ADEWS) was designed. The system was composed of two main facilities: acceleration sensor and teminal unit. The acceleration sensor was fixed on anchor cables to monitor its vibration frequency, and the teminal unit in the bridge was designed to analyze change characteristic of frequency and release early warnning. For facilitis of this new ADEWS is simple, it is easy to be equipped on vessels. Furthermore, the system can automatically analyze vibration frequency and release early warning, so it has advantages of high feasibility and reliability. These advantages can lessen duty officers work burden and reduce the dependece on duty officers individual experience. Therefore, ADEWS based on Vibration frequency analysis possesses a good application prospect in practical engineering.
Hot die forging process optimization of superalloy IN718 turbine disc using processing map and finite element method

Abstract The deformation constitutive equation and the microstructure models in terms of critical strain, dynamic recrystallization, and grain growth for superalloy IN718 have been established based on the isothermal compression tests. Non-isothermal upsetting experiments have been carried out to refine and validate the microstructure evolution models. A processing map has been generated using the flow stress data obtained from the isothermal compression tests. According to the processing map, the optimum hot working parameters for superalloy IN718 have been obtained. The effect of process parameters on the microstructure development during the hot die forging of IN718 turbine disc have been investigated through coupling the microstructure evolution prediction system developed with a commercial FE software, MSC. Superform. To design the hot die forging of IN718 turbine disc, a uniform function of microstructure has been proposed as the goal function. On the basis of simulation results, the optimum hot die forging parameters have been obtained.
Bayesian Analysis Applied to Statistical Uncertainties of Extreme Response Distributions of Offshore Wind Turbines

Extreme response is an important design variable for wind turbines. The statistical uncertainties concerning the extreme response distribution are simulated here with data concerning physical characteristics obtained from measurements. The extreme responses are the flap moment at the blade root and the overturning moment of the support structure of an offshore wind turbine situated in the North Sea. The statistical uncertainties concern the choice of the distribution model and uncertainties concerning the distribution parameters. The uncertainties are treated with Bayesian analysis. The inclusion of the uncertainties has only marginal effect for the calculated long-term estimates of extreme responses when non-informative priors for the distribution parameters are used. The inclusion of uncertainties may have larger effect if data concerning the moments are obtained from measurements.
A New Gas Path Fault Diagnostic Method of Gas Turbine Based on Support Vector Machine

As a crucial section of gas turbine maintenance decision-making process, to date, gas path fault diagnostic has gained a lot of attention. However, model-based diagnostic methods, like non-linear gas path analysis (GPA) and genetic algorithms, need an accurate gas turbine model, and diagnostic methods without gas turbine model, like artificial neural networks, need a large number of experimental data. Both are difficult to gain. Support vector machine (SVM), a novel computational learning method with excellent performance, seems to be a good choice for gas path fault diagnostic of gas turbine without engine model. In this paper, SVM is employed to diagnose a deteriorated gas turbine. And the diagnostic result of SVM is compared to the result of artificial neural networks. The comparing result confirms that SVM has an obvious advantage over artificial neural networks method based on a small sample of data, and can be employed to gas path fault diagnostic of gas turbine. Additionally, SVM with radial basis kernel function is the best choice for gas turbine gas path fault diagnostic based on small sample.Copyright © 2014 by ASME
Composite wavelet features for image recognition

A detection technique based on a synergistic composition of wavelet feature detectors is demonstrated on sonar imaging data. The wavelets are used to preprocess the imagery for enhancing highlights and shadows. A neural network is trained on the preprocessed imagery to weight the output of two filters for underwater object detection. This approach is demonstrated on multiple scales. Results indicate this composite approach is highly effective.
Polyimide Film Micromachining by Wet-Etching Technology

We have presented the characteristics of polyimide (PI) film wet-etching using the commercially available and most commonly used Kapton Upilex PI-film as the testing materials and a strong alkaline solution named TPE3000 (from Toray Engineering Co., Ltd., Japan) as the etchant. We have introduced the fabrication process of micro through-holes on the PI-film by wet-etching using two types of etching-mask materials, i.e. a photosensitive dry film and thin copper film. We have also developed thermal-type micro sensor device using densely arrayed micro heaters as the sensing elements. The sensing elements were resistors made of sputtered 200-nm-thick platinum film on the thin (50-μm-thick) flexible PI-film substrate. The electrical feed-through was arranged on the different sides of the substrate and interconnected to the micro heater elements via the wet-etched through-holes, inside walls of which were deposited with thin metal film by means of the electroless copper plating technology. The fabricated device was robust, flexible and can be attached to non-flat curved surface.