Miracle-dz/UniFAR-FTUs huggingface dataset:
The Feasibility of the Disturbance Accommodating Controller for Precision Antenna Pointing

Large, preCISlOn antennas for mIlhmeter and submIlhmeter wave astronomIcal hsterung reqUIre preclSlon pOIntIng capabIl­Ity In the face of a host of nonlInear and random dIsturbances Included In thIS category of nOIse sources are structural mem­ber deflectIons under WInd, thermal and graVItatIonal loadIng, beanng fnctIOn torques, and hystereSIS as well as electncal, optIcal, and mechanIcal mIsahgnments Introduced by sensors, thermal deformatIons, and structure model ImperfectlOns tradItIonal approaches for compensatIng systematIc dIstur­bances rely on laboratory measurements and field data and employ open-loop (or feed-forward) compensatlOn USIng statIC look-up tables to refme predIcted target pOSItIons These tech­ruques, although satIsfactory In sub-X-band RF POIntIng, are margInal for the state-of-the-art telemetry reqUIrements for the upcomIng Voyager-Neptune flyby and beyond The augmen­tatIOn of the deep space telemetry channel to prOVIde Ka-band (32-GHz) capabIhty to Increase miSSlOn performance WIll requITe I-mdeg POIntIng accuracy for feaSIble receptlOn at dIstances greater than 20 AU The performance advantage between the current X-band and prOjected Ka-band IS hIghly dependent on antenna POIntmg accuracy Successful deep space telecommurucatIons will reqmre the NASA-JPL 34-m and 70-m antenna POIntIng systems (see for example FIg 1) to exhIbIt POIntIng errors of 1 mdeg (rms) or better WIth current accuracy on the order of 5 to 10 mdeg, the antenna pOIntIng loss at 32 GHz [1] as compared to loss at X-band (84 GHz) IS magmfied by the frequency squared The Increased gam ad­vantage of the Ka-band could easIly be lost WIthout compar­able enhancement m the pOIntmg accuracy, a performance reqUIrement unphCIt to the hIgher gam antennas WIth narrower beamwidth Antenna POIntIng-trackIng errors are typICally functlOns of statIC and dynamIC factors MechanIcal mIsalIgnment of sensors or Inaccuracy In the predIcts can be conSIdered statIC
Extending the UML QoS framework metamodel to express quality preferences and priorities

Optimal levels of quality attributes usually cannot be achieved simultaneously within a system. Information about system stakeholders' preferences and priorities over quality attributes is needed in order to manage tradeoffs between quality attributes both at development time and at runtime. Such information has to be integrated in non-functional requirements specification. We extend the UML QoS Framework metamodel to allow UML QoS models built from the metamodel to incorporate specification about preferences and priorities over quality attributes.
A conceptual framework for critical success factors of lean Six Sigma

Purpose – The objective of this paper is to analyze the critical success factors (CSFs) for lean Six Sigma (LSS) implementation and its impacts towards company performance in multinational electronic manufacturing service (EMS) industries.Design/methodology/approach – A pilot study has been conducted to identify the top ten CSFs for LSS implementation. Based on these factors, a structured questionnaire has been constructed. The questionnaire will be distributed to multi‐sites of six EMS industries to obtain the data across Malaysia and other sites globally. The target population is the LSS program implementer such as master black belts, black belts and LSS champions in the EMS industries.Findings – These EMS industries provide outsourcing platform for the original equipment manufacturing (OEM) industries to outsource their products in order to reduce operational cost. With the proposed LSS implementation success model, a practical guide of the LSS program has been implemented. The practical guide helps th.
Low-Rank Distributed Control with Application to Wind Energy

This thesis addresses three different topics in wind power plant operation. Most of the research is focused on controlling a wind farm that is required to meet a power set-point. In this mode of operation, the wind turbines are able to vary their power production as long as the total power demand is met. The research investigates how this freedom can be used in order to reduce the fatigue loads experienced by the wind turbines. The problem is studied in a linear-quadratic control setting where the objective is to minimize the total fatigue load experienced by the turbines, while satisfying a requirement on their joint power production. It is shown that, under certain assumptions, the design problem can be drastically simplified. In particular, the computational effort needed to obtain the solution is independent of the number of wind turbines and the only centralized operation required to implement the optimal control law is a single summation. The research also explains the mechanisms that make power allocation schemes useful for load reduction. Part of the research addresses wake effects in wind farms by developing a low-complexity model of the aerodynamic interaction between wind turbines. The model is used in a series of examples, where the wind turbines coordinate their power productions in order to maximize the power production of the wind farm. The examples indicate that the benefit of power coordination increases with the number of turbines in the wind farm. They also identify the underlying mechanisms behind this effect. The last topic of the thesis is to investigate the benefits of using preview of the incoming wind speed in order to reduce structural loads on the wind turbine tower. The main focus is to understand how measurement distortion influences the achievable load reduction as well as the required length of preview. Results from high-fidelity simulations based on real wind turbine measurements indicate that the use of preview can lead to a significant reduction of tower fatigue loads and that the length of preview needed to attain the reduction does not exceed a few seconds. (Less)
Porcine scoliosis model based on animal growth created with non-invasive off-set tethering

Scoliosis is the result of progressive deformations with torsion and wedging of vertebrate leading to lateral deviations, thoracic torsions and hypokyphosis. No spontaneus animal model of scoliosis are knowned. Although reported models mimics idiopathic scoliosis deformities, extensive violation of spine and chest wall elements are required; making these models suboptimal for implant testing and pulmonary parameters analysis. The purpose of the study is to create a reliable porcine scoliosis model, class as an infantile or juvenile scoliosis, without chest wall injury.
Measuring moisture content of biofilter media using capacitance

A biofilter operates by passing contaminated air through a moist medium like woodchips, saw dust, soil or artificial material. Maintaining moisture content within this medium is critical for biofilter operation. To date, most biofilters use a timer system and sprinklers to apply water to the medium which may lead to under-watering or over-watering. The moisture content of the filter medium in small and in research biofilters has been controlled gravimetrically using load cells. However, for full scale application of biofilters, this technique would be overly expensive and impractical. Some research is being undertaken to develop capacitor plates to monitor moisture levels within the biofilter medium. This technique shows promise and needs further development. This project will reviews the literature on biofilters and biofilter control methods, and also on capacitance-based and other possible moisture measurement techniques. Based on this research, designs are developed for the measurement of the moisture content of the selected biofilter media such as wood chips and soil. It is concluded that the completion of this project has demonstrated the advantages of using the capacitive sensor as the basis for the design and proved the feasibility of the capacitive sensing system in determining the moisture content of the biofilter media.
Relationship between the normalized difference vegetation index and leaf area in vineyards

Bragantia, Campinas, v. 78, n. 2, p.297-305, 2019 ABSTRACT: In vineyards, the monitoring of leaf area is used to guide management practices in order to produce grapes with quality and enological potential. Remote sensing has been used to estimate leaf area by means of vegetation indices. This work aimed at determining the temporal evolution of the Normalized Difference Vegetation Index (NDVI) while associating it with leaf area of vineyards in the Serra Gaúcha region, Brazil. To this end, between 10 and 20 plants were evaluated monthly (September to May) in three vegetative seasons. NDVI data were obtained using the remote sensor Greenseeker while the following leaf area related parameters were obtained non-destructively: unit leaf area (ULA), average number of leaves per branch (NLB), plant leaf area (PLA), leaf area index (LAI) and chlorophyll index (CI). Data correlation was assessed by joint AGROMETEOROLOGY Article
PFMP-MCSO, a code that performs automatically multicycle reloads with optimum single-cycle patterns

A code has been developed that utilizes a single-cycle optimization code, PFMP-SO, to optimize a sequence of cycles. PFMP-SCO has been developed to automatically reload a pressurized water reactor with an optimum end-of-cycle (EOC) k[sub eff]. This code employs a data-base fuel management system that stores the history of all previously used fuel assemblies. This data base is automatically updated after obtaining the optimum reload pattern for each cycle by the core simulator code ADMARC. Using the data-base system and PFMP-SCO, algorithms have been written to create a single code that will employ PFMP-SCO to perform a multicycle reload. This multicycle automatic optimum reloading process can be represented by that shown in Fig. 1, where [I[sub u](2)] is the set of used fuel assemblies available for use in cycle i, C(i) is the set of constraints for cycle i, T(i) is the effective full-power days (EFPD) for cycle i, [P(i)] is a set of core patterns for cycle i, and [Y(i)] is the set of output parameters for cycle i. Given the cycle length, constraints, number of fresh fuel assemblies, the code accesses all available used fuel assemblies through its data base and proceeds to optimize the reload pattern formore » cycle i. « less
Clock network and phase-locked loop power estimation and experimentation

The clock distribution network and the generation circuitry are critical components of current synchronous digital systems and are known to consume more than a quarter of the power budget of existing microprocessors. A high-level clock energy model that captures both the dynamic and leakage power components is formulated. The validation results show an average deviation within 506 of circuit-level simulations. Further, Phased Locked Loops (PLLs), which have been generally used in clock generation, are also crucial for the implementation of Dynamic Voltage Scaling (DVS) mechanisms employed in emerging power conscious processor designs. In order to devise architectural and compiler driven optimizations that exploit the dynamic frequency voltage scaling features, accurate models that capture the performance and power characteristics of the PLL are essential. In addition, many emerging System-on-a-Chip (SOC) designs use multiple PLLs on the same die making it important to estimate the contribution of the PLL to the overall system power. A PLL energy and timing model that accurately estimates the power consumption during both lock and lock-acquisition states is also formulated. The applicability of PLLs as voltage regulators in support of leakage reduction by supply gating is briefly discussed. The complete clock energy model is incorporated into a cycle-accurate energy simulator for an embedded architecture. This framework is used to study and quantify the influence on clock energy of several architectural-level decisions and their relative impact on the overall system power. These design choices include various cache architectures and clock gating at different levels (top-level distribution network functional unit and gate level). From the software perspective, the influence on clock energy of power-aware memory-oriented compiler optimizations is assessed. Finally, the model is used to predict the role that the clock will have in the total power budget of future designs while carefully capturing the impact of technology scaling. It is shown that as long as leakage power is kept under control, clock power will remain a significant contributor to the total system power.
Machine Learning Scaled Belief Propagation for Short Codes

The problem of finding good error correcting codes for short block lenghts and its corresponding decoders is an open research topic. A frequently applied soft decoder is the Belief Propagation (BP) decoder, however with degraded performance in case of short loops in the Tanner graph. This is especially problematic for short length codes as loops of small length are more likely to occur. In this paper, we propose the Machine Learning Scaled Belief Propagation (MLS-BP) to mitigate the performance loss of BP decoding for short length codes by introducing a learned scaling factor for the receive signals. The key point of this approach is the fact that the implementation of the BP decoder is not changed and the simple scaling leads to performance results comparable to other proposed BP improvements.
Broadband satellite system technologies for effective use of the 12-30 GHz radio spectrum

Broadband satellite systems are an integral part of communications technology, aiming to provide a wide range of services to a society that increasingly expects ubiquitous access to broadband telecommunication services. Key drivers behind the development of these systems include rapid growth in the use of the Internet, PC- and TV-based e-commerce and interactive broadcasting services. In the UK, broadband satellite service trials are currently being conducted by BT, amongst others, with a primary objective of providing services to areas where asymmetric digital subscriber line (ADSL) technology has not been deployed. Two key factors for the success of broadband satellite technology lie in the area of overcoming constraints associated with frequency spectrum and orbital resources. This paper provides a review of technologies employed in geostationary (GSO) and nongeostationary (NGSO) satellite networks designed for the provision of broadband services to fixed and portable ground terminals within the 12 to 30 GHz frequency range. After reviewing the system design parameters related to the use of the radio frequency spectrum, consideration is given to the issues involved in sharing spectrum between GSO and NGSO satellite networks.
The Effect of Using Online Technology on Quality of Services for Opening Accounts in Bank BCA Surabaya

This study aims to analyze the influence of perceived usefulness, perceived ease of use, convenience, and security to have an effect simultaneously and partially on the quality of service via online technology for customers in opening accounts at BCA Bank Surabaya. The method used by the author is a quantitative method with a descriptive analytical approach. The research variable used is TAM (Technology Acceptance Model). The results of the research demonstrates that Perceived Usefulness (X1), Perceived Ease of Use (X2), Comfort (X3), and Security (X4), have a simultaneous effect on the dependent variable of Service Quality (Y). Thus, the first hypothesis which states "that Perceived Usefulness, Perceived Ease of Use, Comfort, and Security simultaneously has an effect on Service Quality" and it is empirically proven to be true. While partially, perceived ease of use, security, and comfort, do not have a significant effect on service quality, only the perceived usefulness variable has a significant effect on service quality variables
Cognitive styles and environmental problem‐solving

Although professionals and experts receive training that is thought to be appropriate for the tasks awaiting them, recent research has shown that their problem solving behaviour is greatly influenced by the cognitive styles that they have learned prior to university education. The latter may only reinforce, or exacerbate, pre‐existing tendencies. As a result of this, professionals may use their preferred styles indiscriminately, applying them in situations where they are quite inappropriate. This mismatching of style and problem commonly occurs in the environmental area where problems are complex and solutions would seem to require an approach based on an integration of styles. The way in which cognitive styles are mismatched to inadequately defined problems and the need for an integrated approach to environmental problems are discussed in this paper.
A Review on Shape Engineering and Design Parameterization in Reverse Engineering

3D scanning technology has made enormous progress in the past 25 years (Blais, 2004); especially, the non-contact optical surface digitizers. These scanners or digitizers become more portable, affordable; and yet capturing points faster and more accurately. A hand-held laser scanner captures tens of thousands points per second with a level of accuracy around 40 m, and can cost as low as fifty thousand dollars, such as ZScanner 800 (ZCorp). Such technical advancement makes the scanners become largely accepted and widely used in industry and academia for a broad range of engineering assignments. As a result, demand on geometric modeling technology and software tools that support efficiently processing large amount of data points (scattered points acquired from a 3D scanning, also called point cloud) and converting them into useful forms, such as NURB (non-uniform rational Bspline) surfaces, become increasingly higher.
Wideband operations for compact single‐fed circularly polarized microstrip antenna

A compact single‐fed circularly polarized microstrip antenna is proposed for radio frequency identification readers.The antenna consists of a square patch with truncated corners printed a thick FR4 substrate and a probe‐fed metal strip that is adopted for wideband operations. Results show that the antenna achieves a 10‐dB return loss bandwidth of 11.02% (2.31–2.59 GHz) and a 3‐dB axial ratio (AR) bandwidth of 2.45% (2.42–2.48 GHz) or 6‐dB AR bandwidth of 4.9% (2.39–2.51 GHz). © 2013 Wiley Periodicals, Inc. Microwave Opt Technol Lett 55:1254–1257, 2013; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.27568
Challenges to NIST in dimensional metrology:: the impact of tightening tolerances in the U.S. discrete-part manufacturing industry

A 200-WOR0 OR LESS FACTUAL SUMMARY OF MOST SIGNIFICANT INFORMATION. IF DOCUMENT INCLUDES A SIGNIFICANT BI8UOQRAPHY OR LITERATURE SURVEY, MENTION IT HERE. ) Toleranced dimensions are a critical attribute of the more than $500B worth of discrete-part products the U.S. produces each year. Global competition in manufacture of these products has lead to dramatically tighter tolerances on part dimensions, with reductions by factors of three in the size of tolerances every 10 years. As a result, today there are toler ances of 1mm in the normal -tolerance regime of assembled automobile car bodies, 2.5 micrometers in the precision-tolerance regime of diamond-sliced magnetic read-write heads, and 0.5 nm in the ultraprecision-tolerance regime of nanofabricated quantum-electronic devices. With the 4-to-lO multiples by which industry's production-control measurements are expected to be better than tolerances and NIST's reference measurements are expected to be better than industry's, NIST is faced with major metrological challenges and unmet industry needs in each of the three tolerance regimes. 12.
Characterization of tolerance to citrus leafminer of Citrus and related genera

: The aim of this study was to identify resistance of tolerance type in Citrus and Poncirus genotypes towards the citrus leafminer (CLM), Phyllocnistis citrella . The quantitative variables leaf and shoot lengths, leaf width, number of larvae and new shoots, and fresh and dry shoots weights, and qualitative variables associated with foliar damage were evaluated in six Citrus -related genotypes infested with CLM. In preliminary trials with lime Rough lemon ( C. jambhiri ), the variables that best discriminated the infestation effect of CLM were established as the numbers of larvae and new shoots per plant together with the percentages of partially rolled leaves (PRL), rolled leaves (RL) and total damage (TD = RL + PRL). In subsequent tests with all six genotypes, the variables new shoots per plant, percentage of attacked but not rolled leaves (ANRL), RL and TD were found to be significant. Trifoliata Limeira ( P. trifoliata ) and hybrid C × R 4 ( C. sunki × P. trifoliata ) presented the lowest percentages of RL and TD and the highest values of ANRL. A cluster analysis was performed considering all the variables analyzed and the most tolerant genotypes for CLM, namely hybrids C × R 4 , C × R 315 (C . sunki × P. trifoliata ), M × P 222 [ C. sinensis × Tangor Murcott ( C. reticulata × C. sinensis )] and Trifoliata Limeira ( P. trifoliata ) were grouped apart from the less tolerant genotypes Sunki mandarin ( C. sunki ) and lime Rough lemon. In conclusion, genotypes Trifoliata Limeira and its hybrid C × R 4 are the most tolerant to CLM.
FEM-based vibration control in end milling using fixture layout

Fixtures are used to locate and constrain the workpiece during machining. They are used to accomplish the machining accuracy and high productivity in the manufacturing process. Fixture, workpiece and cutting tool form a structural system and the behaviour of the system is dynamic. During machining, engagement of cutter with workpiece causes vibration leads to distortion of workpiece, which in turn affects machining accuracy. The fixture-cutting tool-workpiece system needs to be analysed in terms of its dynamic response and is critical to minimise the vibration. In this research paper, finite element method is applied to model and simulate the machining operation and harmonic analysis is employed to determine the amplitude of vibration. Then, genetic algorithm is proposed to minimise the amplitude vibration by optimising the machining fixture layout.
Creating construction cost indices and examining their cyclic behavior

While there are several different construction cost indices that are commercially available, these indices are typically derived from the costs of the factors of production. They often lack detail regarding location, product type, or structure type. In this study, we determined that it is possible to develop location and product type specific construction cost indices for 2 different product types, office and multi-family residential, in 6 different Metropolitan Statistical Areas using real project cost data. The project data was supplied by FW Dodge and includes 61,000 records summarizing office and apartment projects from 1967 through the first half of 2004. Once we were able to develop the construction cost indices, we could then observe differences in construction costs between markets and product types. Apartment real cost growth was slightly positive, while office real cost growth was typically slightly negative during the study period. Additionally, we were also be able to determine whether the construction industry experiences cyclicality related to building activity, or whether it acts like a commodity, with fluctuations in cost due to shocks to the material and labor markets. While casual observation indicates otherwise, the results of this study indicate that there is little to no correlation between construction costs and the level of new building supply. Thesis Supervisor: William Wheaton Title: Professor of Economics