Miracle-dz/UniFAR-FTUs huggingface dataset:
Lifetime Evaluation of Medium and Small Size Power Transformers—— Part 1 : Theory

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An Optimization Design for the Stair-Climbing Wheelchair

With sharply increasing of elderly and disabled people at present, the work which focuses on making life easier for those people have been paid more attention. So a new stair-climbing wheelchair was designed in this paper which can work in three modes: stair-climbing mode, powered wheelchair mode and manual mode. It helps physically disabled and elderly people to move more flexibly and comfortably. The walking mechanism was first designed in this paper, as well as the theoretical design and calculation which was used to decide the structure and dimension; then transmission system design was followed. An optimization design for the planetary wheels mechanism is carried out based on the model which was modelled in software Autodesk Inventor. A seat backrest adjustment system was designed to adjust the centre of gravity before climbing up and down stairs. At the same time, a locking system was installed to make the wheelchair working more safety. Computer simulations were performed to evaluate this design. Stress analysis for different materials of the frame was carried out in inventor, in order to realize optimal selection for the material. Finally animation was made to show how the wheelchair works in different situations.
Parallel Multi-task Cascade Convolution Neural Network Optimization Algorithm for Real-time Dynamic Face Recognition

Due to the angle of view, illumination and scene diversity, real-time dynamic face detection and recognition is no small difficulty in those unrestricted environments. In this study, we used the intrinsic correlation between detection and calibration, using a multi-task cascaded convolutional neural network(MTCNN) to improve the efficiency of face recognition, and the output of each core network is mapped in parallel to a compact Euclidean space, where distance represents the similarity of facial features, so that the target face can be identified as quickly as possible, without waiting for all network iteration calculations to complete the recognition results. And after the angle of the target face and the illumination change, the correlation between the recognition results can be well obtained. In the actual application scenario, we use a multi-camera real-time monitoring system to perform face matching and recognition using successive frames acquired from different angles. The effectiveness of the method was verified by several real-time monitoring experiments, and good results were obtained.
Multiscale Modeling, Simulation and Control of Protein Crystallization Processes

Protein crystallization is a central activity in the pharmaceutical industry which is currently estimated to be over a \$1 trillion per year industry. Despite extensive experimental and theoretical work on understanding protein structure and function, there is a lack of a systematic framework that relies on fundamental understanding of the nucleation and growth mechanisms of protein crystals at the microscopic level and utilizes such information to model and operate protein batch crystallization processes at the macroscopic level. Motivated by these considerations, this dissertation is focused on developing a hierarchical and computationally tractable approach to: (a) elucidate the equilibrium fluid-fluid and fluid-solid phase diagrams of globular proteins via coarse-graining techniques, equilibrium Monte Carlo (MC) simulations, and finite-size scaling theory, (b) model crystal growth and morphology via kinetic Monte Carlo (kMC) simulations in order to deduce microscopically consistent rate laws, and (c) use these microscopic rate laws on the macroscale in order to model and control batch crystallization processes.
Infra Red Assisted Navigation for Automatic Lawn Mower Robot

The mobile robotics industries moving forward with innovative approach to solve the humanitarian problems. In this work, the scope is limited to cleaning backyard and front yard landscaping; the maintenance of these premises are mundane tasks which takes up lot of human effort and consumes time. Tasks like mow grass and dusting off the dead leaf’s using gardening robot for lawns and play grounds could be given to robot for effective maintenance. In this work a cost-effective method of navigation and boundary defining of the lawn/play ground is attempted. A set of defined mowing operation is coded in the robot for path planning and boundary defining of the target. Robot docking station is done using same boundary wire technique for charging the battery and resuming the work as required. The lawn mower estimate distance moved using ground speed sensor
Biosurfactants : Production and Utilization-Processes, Technologies, and Economics

Section I Production Types and Classification of Microbial Surfactants Rudolf Hausmann and Christoph Syldatk Sophorolipids: Microbial Synthesis and Application INA Van Bogaert, K Ciesielska, B Devreese, and W Soetaert Biosurfactants versus Chemically Synthesized Surface-Active Agents Steve Fleurackers Biosurfactants Produced by Genetically Manipulated Microorganisms: Challenges and Opportunities Kamaljeet K Sekhon Randhawa Production of Biosurfactants from Nonpathogenic Bacteria Roger Marchant, S Funston, C Uzoigwe, PKSM Rahman, and Ibrahim M Banat The Prospects for the Production of Rhamnolipids on Renewable Resources: Evaluation of Novel Feedstocks and Perspectives of Strain Engineering Marius Henkel, Christoph Syldatk, and Rudolf Hausmann Utilization of Palm Sludge for Biosurfactant Production Parveen Jamal, Wan Mohd Fazli Wan Nawawi, and Zahangir Alam Bioreactors for the Production of Biosurfactants Janina Beuker, Christoph Syldatk, and Rudolf Hausmann Purification of Biosurfactants Andreas Weber and Tim Zeiner Cost Analysis of Biosurfactant Production from a Scientist's Perspective Gunaseelan Dhanarajan and Ramkrishna Sen Section II Applications Patents on Biosurfactants and Future Trends E Esin Hames, Fazilet Vardar-Sukan, and Naim Kosaric Industrial Applications of Biosurfactants Letizia Fracchia, Chiara Ceresa, Andrea Franzetti, Massimo Cavallo, Isabella Gandolfi, Jonathan Van Hamme, Panagiotis Gkorezis, Roger Marchant, and Ibrahim M Banat Biological Applications of Biosurfactants and Strategies to Potentiate Commercial Production Mohd Sajjad Ahmad Khan, Brijdeep Singh, and Swaranjit Singh Cameotra Perspectives on Using Biosurfactants in Food Industry Livia Vieira de Araujo, Denise Maria Guimaraes Freire, and Marcia Nitschke Biosurfactant Applications in Agriculture Rengathavasi Thavasi, Roger Marchant, and Ibrahim M Banat Biosurfactants and Soil Bioremediation Edwan Kardena, Qomarudin Helmy, and Naoyuki Funamizu Biosurfactant Use in Heavy Metal Removal from Industrial Effluents and Contaminated Sites Andrea Franzetti, Isabella Gandolfi, Letizia Fracchia, Jonathan Van Hamme, Panagiotis Gkorezis, Roger Marchant, and Ibrahim M Banat Index
JMP start statistics : a guide to statistics and data analysis using JMP

JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, Fifth Edition, is the perfect mix of software manual and statistics text. Authors John Sall, Ann Lehman, Mia Stephens, and Lee Creighton provide hands-on tutorials with just the right amount of conceptual and motivational material to illustrate how to use the intuitive interface for data analysis in JMP. Each chapter features concept-specific tutorials, examples, brief reviews of concepts, step-by-step illustrations, and exercises. JMP Start Statistics, Fifth Edition, includes many new features of JMP 10, including an enhanced ability to manage a JMP session by easily tracking open and recently opened JMP tables; scripts, analyses, JMP projects, and other files; vastly expanded tools for instructors to demonstrate statistical concepts and interactive scripts to help students grasp difficult topics; Split-Plot designs with examples; examples of Graph Builder and Control Chart Builder; and new features that make the software easier to use.
A COMPARISION A SUBGRID CLOSURE METHOD FOR PASSIVE SCALAR DYNAMICS

Large eddy simulations are applied to simulate turbulent mixing in liquid flows. The results are compared with the experimental data (planar laser induced fluorescence). The problem of modeling of subfilter scalar turbulent diffusion is important for paper description of scalar mixing at the small scales of a turbulent flow. Two taken from literature subgrid scale (SGS) closure methods for turbulent diffusivity and one RANS method are applied and compared in this work.
Website benchmarking: theoretical and measurement aspects

Benchmarking of websites remains poorly developed. Currently no comprehensive broad-based, systematic, measurement procedure or website benchmarking theory exists. This article discusses the theory of website benchmarking, and builds the mathematics behind website measurement via a three level domain, group and item set-theory approach. It offers a multi-level, interpretable measurement solution to managing websites, and also sheds light on developing a website benchmarking theory.
Individual Blade Pitch and Disturbance Accommodating Control of Floating Offshore Wind Turbines

Floating wind turbines offer a feasible solution for going further offshore into deep waters. However, using a floating platform introduces additional motions that must be taken into account actively or passively. Therefore, the control system becomes an important component in controlling these motions. In this work, the development, implementation, and simulation of multi-objective state feedback and disturbance accommodating controllers applied on the three main floating concepts are described. The three concepts are the barge, tension leg, and spar-buoy floating platforms. These controllers utilise individual blade pitching to create asymmetric aerodynamic loads in addition to the symmetric loads created by collective blade pitching to increase the platform restoring moments. Simulation results, according to design load case 1.2 of the IEC 61400-3 standard for offshore wind turbines, show that state feedback controllers improve the performance relative to a collective blade pitch gain scheduled proportional-integral controller in terms of power and rotor speed regulation as well as reducing tower fore-aft and side-side bending loads. However, the magnitude of the improvements depends on the dynamics of each platform, its responsiveness to individual blade pitching and sensitivities to external wind and wave disturbances. Furthermore, interesting physical phenomena, such as the platform roll to pitch coupling caused by the controller, are identified. Disturbance accommodating controllers for rejecting wind speed perturbations further improve rotor speed regulation and reduce tower fore-aft bending loads except on the barge platform; the barge platform motion is dominated by incident waves and therefore rejecting wind speed perturbations has no noticeable impact. Wave moment disturbance rejection is also investigated but in a limited case study. While the approach taken can theoretically cancel the effects of incident wave moments, practically, the required actuation force cannot be generated by the wind turbine blades. Furthermore, using the blades for rejecting wave moments increases the tower bending due to the load path of the restoring moment through the tower. Out of the three investigated platforms, the tension leg platform with a disturbance accommodating controller has the best overall performance with fatigue loads close or less than that of an onshore wind turbine. The other two platforms, in their current design form, experience large tower fore-aft bending loads that would prevent them from being deployed in rough sea conditions.
Evaluation of Accessibility Through Mobile Phones

This research thesis presents a study of mobile-enhanced accessibility evaluation. In the first phase we have identified the evaluation methods that enable evaluation of mobile-enhanced accessibility. In the second phase we have performed evaluation of a specific mobile-enhanced accessibility prototype named “Augment” based on some selected evaluation methods that enables evaluation of mobile-enhanced accessibility. Finding methodologies for accessibility evaluation is just as important as early assessment. Therefore, in the last step on the basis of the evaluation results and literature review findings, we have presented an efficient and usable evaluation method that would enable valid and reliable evaluation of mobile-enhanced accessibility. The name of the presented evaluation method is “AccessEva” that is a diary method supported by a software application, which will run on a smart phone with the mobile-based accessibility software. This enables the testers to survey user attitudes, and experiences about the mobile-enhanced accessibility. At the end of this diary method period we suggest that a group discussion will be introduced and conducted together with the participants under the supervision of evaluators.
Nutritional strategies for endurance and ultra-endurance cycling

Publications Havemann L, Goedecke JH, Harwood L, Barlow G, St Clair Gibson A, Noakes TD, and Lambert EV. RER Phenotypes in athletes: Response to CHO-loading and effect on performance. SAJCN 49:(1) S212, 2005. Havemann L, Goedecke JH, Noakes TD, and Lambert EV. The effect of fatadaptation followed by carbohydrate-loading on ultra-endurance cycling performance. Med Sci Sport Exerc. 39:(5) S66, 2007. International Conference Presentations The 18 IUNS International Nutrition Congress in Durban, South Africa, September 2005 – Poster presentation: “RER phenotypes in athletes: Response to CHO-loading and effect on performance. ” The 54 American College of Sports Medicine (ACSM) Annual Conference in New Orleans, Louisiana, June 2007 – Free communication: “The effect of fatadaptation followed by carbohydrate-loading on ultra-endurance cycling performance” Un ive rsi ty of Ca pe To wn PUBLICATIONS xii Local Conference Presentations The 33 meeting of the Physiology Society of South Africa in Cape Town, South Africa, September 2005 – Free communication: “RER phenotypes in athletes: Response to CHO-loading and effect on performance. ”
Validation of Multivariate Response Simulation Models by Using Hotelling's Two-sample T^2 Test

A procedure is developed by using Hotelling's two-sample T^2 test to test the validity of a multivariate response simulation model that represents an observable system. The validity of the simulation model is tested with respect to the mean behavior under a given experimental frame. A trade-off analysis can be performed and judgement decisions can be made as to what data collection budget to allocate, what data collection method to use, how many observations to collect on each of the model and system response variables, and what model builder's risk to choose for testing the validity under a satisfactory model user's risk. The procedure for validation is illustrated for a simulation model that represents an M/M/l queueing system with two performance measures of interest.
Innovative servo gap-retainer design by applying electromagnetic attraction force

A TDOF (Two Degrees of Freedom) Servo Gap-Retained Mechanism (SGRM) is proposed and verified by experi- ments in this work. It mainly consists of a flywheel and an Intelligent Posture Tracking System (IPTS). The flywheel, driven by an induction motor for spinning, is regarded as the tracking objective of the IPTS. The IPTS is mainly composed by an intelligent disc and the Hybrid Magnetic Actuators (HMAs). The posture of the intelligent disc is controlled by the magnetic forces induced by the HMAs to retain a constant gap with respect to the eccentric flywheel which spins, tilts and wobbles. Since the HMA is highly nonlinear, a Feedback-Linearized Sliding Mode Control (FLSMC) is synthesized to account for system pa- rameter nonlinearities or unmodeled dynamics. The dynamics of the flywheel and the IPTS are theoretically investigated and analyzed. In fact, the proposed SGRM is a part of an entire flywheel cell. That is, once the MGU (Motor/Generator Unit) in fly- wheel cell operates at idle mode, the shaft of flywheel will be separated apart from MGU in order to avoid the energy loss of the flywheel by the back EMF induced by the magnetic field of MGU. On the other hand, the shaft of flywheel and MGU still need to maintain synchronous power transmission even at idle mode so that a non-contact clutch is equipped. Generally speaking, the role of SGRM in a flywheel cell is to ensure the centerline of the flywheel properly aligned with the non-contact clutch. At last, intensive computer and experimental simulations are undertaken to verify the feasibility of the proposed SGRM and FLSMC. It is evidently showed that the proposed SGRM under FLSMC exhibits superior transient response and servo capability upon constant gap retained. The steady-state tracking errors are about 5% with respect to the amplitudes of the reference trajectories in two radial directions (i.e., X-axis and Y -axis).
Semiconductor nanowires grown by molecular beam epitaxy for electronics applications

One-dimensional nanostructures such as semiconductor nanowires are very attractive for application in next generation electronics. This work presents an experimental study of InAs-based and ZnO-based nanowires grown by molecular beam epitaxy for electronics applications. InAs, InAsP and InAsSb nanowires were grown self-catalytically on silicon. Phosphorus incorporation was studied by means of HRTEM, XRD, EDX and PL. The phosphorus incorporation rate was shown to be 10 times smaller than that of arsenic. InAs and InAsP nanowires exhibit the wurtzite structure with a high density of stacking faults and phase boundaries. Conversely, InAsSb nanowires exhibit the zincblende structure with the density of stacking faults decreasing as the antimony content increases. Antimony incorporation and reduction of the stacking fault density improves the nanowire mobility. ZnO and ZnMgO nanowires and ZnO/ZnMgO core-shell nanowire heterostructures were grown by plasma-assisted molecular beam epitaxy on various substrates with gold particles as a growth catalyst. Nanowire growth was shown to occur only at temperatures between 700 and 850 C and Zn pressures between 1 and 3 10 7 Torr. A two-step growth procedure on silicon was implemented to increase the yield of nanowire growth. Mg incorporation was shown to be 4 times smaller than that of Zn. At Mg content higher than 20 %, MgZnO rocksalt phase segregation is observed in the as-grown samples. Core-shell nanowires were fabricated by growing the shell at a lower temperature of 500 C. ZnO nanowire field effect transistors were fabricated and optimised. High- and low-temperature transport measurements allowed determination of the bulk nanowire and contact properties. Nanowires grown on sapphire and silicon were compared. Nanowires grown on sapphire exhibit an extra donor that determines their low temperature conductivity and give a wider photoluminescence band-edge emission peak. A novel technique to measure the spectrum of deep traps in nanowire field effect transistors was implemented to study ZnO nanowires.
IMPACT OF EARLY EPHEMERAL AND TERMINAL DROUGHT ON THE GRAIN YIELD OF THE NAKED OAT (AVENA NUDA L.)

Drought has become more frequent in the recent era due to climate change, which is responsible for reducing the global cereal production. In the present study, two naked oat cultivars; Dingyou7 (Dy7) and Yanmai (Ym) with contrasting drought tolerance were compared for their yield and growth adaptation under different watering schemes at two different stages of plant growth. The plants were grown in a completely randomized design (CRD) under a) well-watered (WW), b) water stressed (WS) conditions; an early ephemeral, c) terminal drought, d) and different field water capacities (FC) of 80%-90%, 60%, 40%, and 20% respectively. The root length (RL), leaf area (LA), leaf number (LN), flower number (FN) and grain yield in two growing seasons in spring to summer and mid-summer to autumn 2018- were measured for all the water treatments at Yuzhong County experiment station, Lanzhou University Gansu, China. The terminal drought and reduced FC were more detrimental to the grain yield as compared with the early ephemeral drought and higher FC as the terminal drought caused 42% and 48% whereas the early ephemeral drought caused 28% and 44% reduction in grain yield of the Dy7 and Ym respectively. All the growth parameters except RL had significant impact ( p > 0.05) on the grain yield. This study shows the efficiency of the cultivar Dy7 under drought stress. The fewer number of leaves in the latest cultivar appeared as an important crop adaptation under drought stress to optimize yield. This feature holds potential for improvement of cereal crops yield under drought stress through genetic crop breeding.
Development Of A Modified Wiener Algorithm In The Restoration Of Digital Images

: Digital image processing has made its way into today’s technology and Computer driven Society with applications encompassing a wide variety of specialized disciplines. Image degradation, however, becomes a serious threat to image processing as current trend in security measures tends towards the use of biometrics. Moreover, data collected using image sensors are generally contaminated by noise and region of interest in the image degraded by many factors among which is motion blur during acquisition, thus, the need to recover or reconstruct the original image. Several image restoration algorithms have been developed to minimize such errors. Wiener filtering algorithm has been and still being adjudged the best restoration algorithm for the clas of linear methods. However, it has the tendency to cause undesirable artifacts in the resultant image. In order to remove the undesirable artifacts, this paper developed a modified Wiener algorithm. Performance of which was evaluated and Computational results showed modified Wiener performed better than the conventional Wiener algorithm.
Real-time Wind Direction Filtering for Sailboat Race Tracking

In this paper, an algorithm that calculates the direction of the wind from the directions of sailors during fleet races is proposed. The algorithm is based on a 1-D spatial convolution and it is named Convolution Based Direction Filtering (CBDF). The CBDF-algorithm is used in the TracTrac race client that broadcasts sailboat races in real-time. The fact that the proposed algorithm is polynomial makes it suitable, to be used as a real-time application inside TracTrac, even for large fleets. More concretely, we show that the time complexity of the CBDF-algorithm is O(n2), in the worst-case, where n > 0 is the number of boats in competition. It is also shown that in more realistic sailing scenarios, the CBDF-algorithm is in fact a linear algorithm.