Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of Control System for Concrete Mixing Plant

With the rapid development of China's infrastructure construction and the start of a series of national key projects, the demand for concrete is increasing day by day. China has become the country with the largest production and use of concrete. As the main equipment for preparing concrete and the direct supply source of concrete, concrete mixing station has become an indispensable equipment in the construction industry. Concrete is one of the most widely used building materials in civil engineering. The control system of concrete mixing station plays an important role in the technical and economic indicators of concrete production. One of the core parts of concrete mixing station is the control system. Therefore, the advanced control system of concrete mixing station is of great significance for concrete production. This paper mainly focuses on the design and research of the control system of the concrete mixing station, mainly designs a control system which can detect and control the workflow of the concrete mixing station, which is helpful to analyze and solve the problems existing in the development process of the concrete mixing station.
Factors Affecting Variation of Udder Traits in Merino Rambouillet Ewes

The aim of this study was to determine some udder morphological characteristics and some souces of variation affecting them in Merino Rambouillet ewes under stall-fed conditions (n=54, 57.010.3 kg BW, 1 to 3 lambings). The study was conducted at the Agronomy College, San Luis Potosi Autonomous University, Mexico (22° NL, 100° WL, at 1835 m, and annual means of 17.8°C and 271 mm). Evaluation considered morphological traits, collected from d-60 to d-120 post-lambing, related to udder (U) size (depth, UD; width, UW; circumference, UC), cistern (C) morphology (hight, CH; depth, CD), and those definning teat (T) size and position (width, TW; angle, TA). No differences (P>0.05) between both halves occured for any variable, observing from low to high correlations among U, C and T traits (r=0.32 to 0.73). While udder traits diminished (P
Technique for Thermal Resistance Measuring of Heat-Sink in the Linear Mode

บทคดยอ วตถประสงคของบทความนมไดกลาวถงการออกแบบแผนระบายความรอน หากแตเปนการอธบายถงวธในการวดหาคาความตานทานความรอนของแผนระบายความรอนทไมมแผนขอมลประกอบ ในบทความนพยายามทจะอธบายทมาของความสมพนธบนพนฐานของทฤษฎบทการถายเทความรอนทไมยาก และนำเสนอวธการงายๆ ในทางปฏบตทจะวดหาคาความตานทานความรอนของแผนระบายความรอนดงกลาว หลกการสำคญคอการทำงานภายใตแหลงอณหภมทรบรไดสองจดโดยการวดอณหภมของแผนระบายความรอน และอณหภมของอากาศโดยรอบ ในการทจะหาคาของความตานทานความรอนของแผนระบายความรอน (Rθsa) แหลงกำเนดความรอนจะถกกำเนดโดย IGBT ททำงานในโหมดเชงเสน และตดตงบนแผนระบายความรอนทจะทดสอบปรมาณความรอนทถกผลตโดย IGBT ในโหมดเชงเสนอณหภมของแผนระบายความรอน และอณหภมของอากาศโดยรอบแผนระบายความรอน จะสามารถนำมาหาคาของความตานทานความรอนของแผนระบายความรอนไดจากความสมพนธงายๆ คอ Rθsa= (Ts-Ta)/Pdจากหลกการนเองเรากจะสามารถทจะวดคาความตานทานความรอนของแผนระบายความรอนทไมมแผนขอมลประกอบไดโดยงาย คำสำคญ: ความตานทานความรอน การถายเทความรอนแผนระบายความรอน Abstract The objective of this article was not to design a heat-sink, but to describe the measurement of thermal resistance of the heat-sink with no supporting information. This paper has attempted to explain a simple relationship based on heat transfer theory, and to demonstrates an easy, practical method of measuring the thermal resistance of the heat-sink. The principle is to operate under two known temperature conditions by monitoring the temperature of heat-sink and ambient temperature in a steady-state condition. In order to ascertain the heat-sink’s thermal resistance(Rθsa), the heat source was generated by the IGBT operating in a linear mode and installed on a test specimen. Heat generated by the IGBT operating in a linear mode and the temperature of this heat-sink and that of the ambience can estimate the Rθsa of the heat-sink using the simple relationship Rθsa=(Ts-Ta)/Pd. From these procedures, we were able to measure easily the thermal resistance of a heat-sink with no datasheet. Keywords: Thermal Resistance, Heat Transfer,Heat-sink
Evaluating the Effectiveness of Psychological Preparedness Advice in Community Cyclone Preparedness Materials

This paper addresses the case of tropical cyclone warnings in Northern Australia and briefly outlines the nature, logic, and findings of a psychological preparedness intervention trailed in Cairns, Queensland, during the 1996/1997cyclone season. The aim of the research was to trial, evaluate and refine an innovative natural disaster public education and warning communication intervention focusing on tropical cyclone preparedness and response. This risk communication intervention involved the dissemination of selected psychological information designed to enable individuals to better cope with themselves and others in an increasingly threatening situation. The psycho-educational content material incorporated was derived from ‘Stress Inoculation Theory’ (Meichenbaum, 1985; 1994; Meichenbaum and Deffenbacher, 1988). The research found that the pre-cyclone season period is a critically important time and venue for prevention and mitigation, and that psychological factors and processes during this threat period are of singular importance to effective coping and adaptive responding. The research also clearly indicated that there are a substantial number of residents in cyclone-prone communities for whom chronic anxiety, avoidant coping styles, and prior traumatic experience constitute both a substantial vulnerability factor and a genuine impediment to psychological and physical preparedness.
Combinations of NSM and EB CFRP strips for flexural strengthening of concrete structures

The purpose of this study is to investigate the flexural strengthening effectiveness of beams reinforced with near-surface mounted (NSM) carbon-fibre-reinforced polymer (CFRP) strips and externally bonded reinforcing (EBR) CFRP strips. To accomplish this objective, a total of nine concrete T beams were tested and two groups of experimental study were carried out, one for the beam series reinforced with NSM CFRP strips and the other for the beam series combined reinforced with NSM and EBR strips. From this study, it is found that the flexural stiffness and strength of the beams reinforced with NSM and EBR strips were significantly improved compared with the beams strengthened only with NSM CFRP strip. The maximum increase of flexural strength was 347% compared with the control beam. Failure of the beam reinforced with NSM and EBR strips is initiated by debonding EBR strips attached on the bottom face, and it is succeeded by a partial separation of NSM strips along the longitudinal direction and secondly fa.
Bridge Fatigue Monitoring Device

Abstract : This program involved development and design of the Twin Coupon Fatigue Monitoring System and the concept validation in the laboratory. The Armored Vehicle Launched Bridge (AVLB) was selected as the basis for the design of the Fatigue Life Indicator (FLI) system. The Directorate of Combat Engineering at Ft. Belvoir, VA provided static test data and design life criteria for the bridge. No fatigue data was available for this bridge. The twin coupons were initially designed for a wide stress range. In consideration of the fact that the load rating of the AVLB may be upgraded and that this FLI system may be later applied to higher stress bridges such as the Light Assault Bridge (LAB), initial material selection and sizing calculations were made at 24 Ksi. Later in the program, the initial crack lengths were adjusted to better suit field proof-of-concept testing on the AVLB.
A New Dynamic Pressure Source for the Calibration of Pressure Transducers

A dynamic pressure source is described for producing sinusoidally varying pressures of up to 34 kPa zero to peak, over the frequency range of approximately 50 Hz to 2 kHz. The source is intended for the dynamic calibration of pressure transducers. The transducer to be calibrated is mounted near the base of the thick walled aluminum tube forming the vessel so that the pressure sensitive element is in contact with the liquid in the tube. A section of the tube is filled with small steel balls to damp the motion of the 10-St dimethyl siloxane working fluid in order to extend the useful frquency range to higher frequencies than would be provided by an undamped system. The dynamic response of six transducers provided by the sponsor was evaluated using the pressure sources; the results of these calibrations are given.
Failure of foresight: Learning from system failures through dynamic model

A dynamic model for holistically examining system failures is proposed, for the purpose of preventing further occurrence of these failures. An understanding system failure correctly is crucial to preventing further occurrence of system failures. Quick fixes can even damage organizational performance to a level worse than the original state. There is well known side effect of “normalized deviance” which leads NASA’s Challenger and Columbia space shuttle disasters. And there is so called “incubation period” which leads to catastrophic system failures in the end. However this indicates there is a good chance to avoid catastrophic system failures if we can sense the incubation period correctly and respond the normalized deviance effect properly. If we don’t understand system failure correctly, we can’t solve it effectively. Therefore we first define three failure classes to treat dynamic aspects of system failures. They are Class 1 (Failure of deviance), Class 2 (Failure of interface) and Class 3 (Failure of foresight) respectively. Then we propose a dynamic model to understand system failure dynamically through turning hindsight to foresight to prevent further occurrence. An application example in IT engineering demonstrates that the proposed model proactively promotes double loop learning from previous system failures.
Signal Timing Manual

In addition to covering basic and advanced signal timing concepts, this second edition of the Signal Timing Manual addresses establishment of a signal timing program including setting multimodal operational performance measures and outcomes, determining staffing needs, and monitoring and maintaining the system. Some of the advanced concepts addressed include the systems engineering process; adaptive signal control; preferential treatment (e.g., rail, transit, and emergency vehicles); and timing strategies for oversaturated conditions, special events, and inclement weather. The manual will be useful to traffic engineers and signal technicians at any agency operating traffic signals.
Pressure distributions over permeable skins; a sensitive study

Wind loads on permeable building skins are determined by the pressure difference between the external pressures and the pressures inside the cavity. External pressures are given in current building codes for a wide variety of building shapes, location on the building envelope, effects of detailing etcetera. For the pressures in the cavity and the corresponding pressure difference over the building skins only crude and general rules are available. There is a clear lack in understanding the mechanisms behind pressure equalization and its influence on the local wind loads on building envelopes. A series of tests was conducted on a basic shape, a cube, with permeable outer skins. The properties of the shape and skins are varied and the sensitivity of the pressures inside the cavity to a range of geometrical parameters was studied. The study revealed that two mechanisms determine the flow inside the cavity, which can clearly be distinguished, and which are related to cavity size and opening size. The results are a basis to develop models to better predict the loads on facade panels, however further work is needed to assess aspects such as three-dimensional effects in the flow and the role of turbulence
Generalized Selective Harmonic Elimination Modulation for Transistor-Clamped H-Bridge Multilevel Inverter

This paper presents a simple approach for the selective harmonic elimination (SHE) of multilevel inverter based on the transistor-clamped H-bridge (TCHB) family. The SHE modulation is derived from the sinusoidal voltage-angle equal criteria corresponding to the optimized switching angles. The switching angles are computed offline by solving transcendental non-linear equations characterizing the harmonic contents using the Newton-Raphson method to produce an optimum stepped output. Simulation and experimental tests are conducted for verification of the analytical solutions. An Altera DE2 field-programmable gate array (FPGA) board is used as the digital controller device in order to verify the proposed SHE modulation in real-time applications. An analysis of the voltage total harmonic distortion (THD) has been obtained for multiple output voltage cases. In terms of the THD, the results showed that the higher the number of output levels, the lower the THD due to an increase number of harmonic orders being eliminated.
Seeing Beyond the Visible

Short-wave infrared (SWIR) cameras open up numerous possibilities for machine vision solutions, since they detect invisible product flaws as well as desired characteristics: In contrast to mainstream machine vision cameras with CCD or CMOS sensors, most SWIR cameras have an InGaAs (Indium Gallium Arsenide) sensor and thus detect wavelengths between 900 nm and 1700 nm. These wavelengths are invisible to the human eye and CCD or CMOS cameras. Thus, SWIR cameras detect the invisible, for example, water accumulations inside fruits or defects within silicon products. This document gives examples of SWIR camera applications in several fields such as the semiconductor industry, recycling, metal and glass inspection, and airborne remote sensing. Since some SWIR cameras are mainly designed for use in research facilities, not only the image quality is crucial for industrial applications, but also an industrial rugged design as well as camera features commonly used in machine vision applications.
DESIGN OF DIGITAL MIMO CONTROL SYSTEMS WITH TWO-TIME-SCALE MOTIONS

Abstract The systematic approach of designing a robust sampled-data controller to solve output regulation problem for a MIMO nonlinear systems with unknown external disturbances and varying parameters is presented. The design methodology is based on the construction of two-time-scale motions in the closed-loop system. It has been shown that the proposed dynamical controller with a sufficiently small sampling period induces a two-time-scale separation of the fast and slow modes in the closed-loop system. Stability conditions imposed on the fast and slow modes and small sampling period can ensure that the full-order closed-loop system achieves the desired properties so that the output transient performances are desired and insensitive to parameter variations and external disturbances. Finally, an example with simulation results is presented.
Multi‐agent management system for electric vehicle charging

Summary This paper proposes an implementation, based on a multi-agent system, of a management system for automated negotiation of electricity allocation for charging electric vehicles (EVs) and simulates its performance. The widespread existence of charging infrastructures capable of autonomous operation is recognised as a major driver towards the mass adoption of EVs by mobility consumers. Eventually, conflicting requirements from both power grid and EV owners require automated middleman aggregator agents to intermediate all operations, for example, bidding and negotiation, between these parts. Multi-agent systems are designed to provide distributed, modular, coordinated and collaborative management systems; therefore, they seem suitable to address the management of such complex charging infrastructures. Our solution consists in the implementation of virtual agents to be integrated into the management software of a charging infrastructure. We start by modelling the multi-agent architecture using a federated, hierarchical layers setup and as well as the agents' behaviours and interactions. Each of these layers comprises several components, for example, data bases, decision-making and auction mechanisms. The implementation of multi-agent platform and auctions rules, and of models for battery dynamics, is also addressed. Four scenarios were predefined to assess the management system performance under real usage conditions, considering different types of profiles for EVs owners', different infrastructure configurations and usage and different loads on the utility grid (where real data from the concession holder of the Portuguese electricity transmission grid is used). Simulations carried with the four scenarios validate the performance of the modelled system while complying with all the requirements. Although all of these have been performed for one charging station alone, a multi-agent design may in the future be used for the higher level problem of distributing energy among charging stations. Copyright © 2014 John Wiley & Sons, Ltd.
Improving Signal to Noise Ratio in Ultra High Field Magnetic Resonance Imaging

Ultra-High Field (UHF) Magnetic Resonance Imaging (MRI) advantages, including higher image resolution, reduced acquisition time via parallel imaging, and better signal-to-noise ratio (SNR) have opened new opportunities for various clinical and research projects, including functional MRI, brain connectivity mapping, and anatomical imaging. The advancement of these UHF MRI performance metrics, especially SNR, was the primary motivation of this thesis. Unaccelerated SNR depends on receive array sensitivity profile, receiver noise correlation and static magnetic field strength. Various receive array decoupling technologies, including overlap/inductive and preamplifier decoupling, were previously utilized to mitigate noise correlation. In this dissertation, I developed a novel self-decoupling principle to isolate elements of a loop-based receive array and demonstrated, via full-wave electromagnetic/circuit co-simulations validated by bench measurements, that the self-decoupling technique provides inter-element isolation on par with overlap decoupling while self-decoupling improves SNR. I then designed and constructed the first self-decoupled 32 and 64 channel receiver arrays for human brain MR imaging at 10.5T / 447MHz. Experimental comparisons of these receive arrays with the industry’s gold-standard 7T 32 channel receiver resulted in 1.81 times and 3.53 times more average SNR using the 10.5T 32 and 64 channel receivers I built, respectively. To further improve the SNR of accelerated MR images, I developed a novel data-driven model using a customized conditional generative adversarial network (GAN) architecture for parallel MR image reconstruction and demonstrated that, when applied to human brain images subsampled with rate of 4, the GAN model results in a peak signal-to-noise ratio (PSNR) of 37.65 compared to GeneRalized Autocalibrating Partial Parallel Acquisition (GRAPPA)’s PSNR of 33.88. In summary, the works presented in this dissertation improved the SNR available for human brain imaging and provided the experimental realization of the advantages anticipated at 10.5T MRI. The insights from this thesis inform future efforts to build self-decoupled transmit arrays and high density, 128 channel loop-based receive arrays for human brain MRI especially at ultra-high field as well as future studies to utilize deep learning techniques for reconstruction and post-processing of parallel MR images.
Dynamic Relation Repairing for Knowledge Enhancement

Dynamic relation repair aims to efficiently validate and repair the instances for knowledge graph enhancement (KGE), where KGE captures missing relations from unstructured data and leads to noisy facts to the knowledge graph. With the prosperity of unstructured data, an online approach is asked to clean the new RDF tuples before adding them to the knowledge base. To clean the noisy RDF tuples, graph constraint processing is a common but intractable approach. Plus, when adding new tuples to the knowledge graph, new graph patterns would be created, whereas the explicit discovery of graph constraints is also intractable. Therefore, although the dynamic relation repair has an unfortunate hardness, it is a necessary approach for enhancing knowledge graphs effectively under the fast-growing unstructured data. Motivated by this, we establish a dynamic repairing and enhancing structure to analyze its hardness on basic operations. To ensure dynamic repair and validation, we introduce implicit graph constraints, approximate graph matching, and linkage prediction based on localized graph patterns. To validate and repair the RDF tuples efficiently, we further study the cold start problems for graph constraint processing. Experimental results on real datasets demonstrate that our proposed approach can capture and repair instances with wrong relation labels dynamically and effectively.
The Environmental Impacts of Electric Bikes in Chinese Cities

Electric bikes have captured a large share of trips in many Chinese cities. They provide high levels of mobility and use little energy, two things that Chinese cities need to optimize. However, these benefits come at a cost, particularly emissions from primarily coal power plants and increased lead waste from battery use. Chinese policy makers are struggling with developing appropriate policy that maximizes modal options and mobility and minimizes environmental impacts. Electric bikes use very little electricity and, as a result, emit low levels of pollution per vehicle (passenger) kilometer traveled, even compared to fully occupied buses. The most problematic issue with electric bikes is the use of lead acid batteries that have high lead loss rates during the production, manufacturing and recycling processes. Most other motorized modes also use lead acid batteries, but their rate of use is lower and thus they have lower lead emission rates per kilometer. This research investigates and quantifies the environmental implications of electric bike use in China; particularly energy use, air pollution, solid waste and water use. A framework for policy analysis is presented and potential regulatory mechanisms are discussed. This investigation can inform policy by quantifying environmental impacts so that problematic parts of the life cycle can be addressed, rather than banning electric bikes all together.