Miracle-dz/UniFAR-FTUs huggingface dataset:
An algorithm for the properties of the integrated process control with bounded adjustments and EWMA monitoring

An integrated process control (IPC) procedure is a scheme which simultaneously applies the engineering process control (EPC) and statistical process control (SPC) techniques to reduce the variation of a process. The EPC is performed by adjusting the process, which will continually wander away from the target by its inherent disturbances. The SPC is implemented by monitoring the process, which will be changed to an undesirable state by special causes. The wandering behaviour of the process is often well-fitted by an IMA(0,1,1) process and the occurrence of a special cause is considered to change the process level. For adjusting, the bounded adjustment scheme is used and for monitoring the EWMA chart is used. The performance of the IPC procedure is evaluated in terms of the expected cost per unit interval (ECU). In designing the IPC procedure for practical use, it is essential to derive its properties constituting the ECU, but no analytical solution has been known yet. As an alternative, an algorithm for calculation of the properties is derived by using a Markov chain approach when the process is in control and a Monte Carlo simulation when out of control.
Progress Report for Annex II--Assessment of Solar Radiation Resources in Saudi Arabia 1993-1997

In 1987, the United States Department of Energy (DOE) and the King Abdulaziz City for Science and Technology (KACST) signed a five-year Agreement for Cooperation in the Field of Renewable Energy Research and Development (R and D), which has been extended to 2000. Tasks include: (1) upgrade solar radiation measurements in Saudi Arabia; (2) assemble a database of concurrent solar radiation, satellite (METEOSAT), and meteorological data; (3) adapt NREL models and other software for Saudi Arabia; (4) develop procedures, algorithms, and software to estimate solar irradiance; and (5) prepare a grid of solar radiation data for preparing maps and atlases and estimating solar radiation resources and solar energy system performances at locations in Saudi Arabia.
Semiconductor ring lasers for all-optical signal processing

Since the late 1980s there has been a strong interest in exploiting optical bistablity for all-optical signal processing. In this scenario, a novel and promising building block is the semiconductor ring laser (SRL) that exhibits bistability between the counter-propagating cavity modes. This thesis reports on the design, fabrication and characterisation of 1550 nm lasing wavelength SRLs that are intended for applications as all-optical flip-flops and logic elements. Substantial optimisation of SRL design and processing technology is carried out in order to promote unidirectional bistable operation and allow high yield. Fabricated, large size, 150 um - 200 um radius SRLs, show robust unidirectional bistable operation with 30 - 35 dB directional extinction ratio (DER) between the counter-propagating modes, from near threshold up to 5 - 6 times threshold current bias. A significant advantage of the optimised technology is that 98% of the devices per chip show continuous wave (cw) and room temperature lasing with an average 2 - 3mA threshold current dispersion. Switch-on and switch-off times as short as 60 ps and 30 ps were measured, respectively, and reliable 10 Gbit/s flip-flop (FF) operation with external triggering optical pulses was achieved with these devices. Temporal measurements and calculations show that the switching speed of the free running SRL is limited by the carrier lifetime. A monostable device consisting of a SRL and an integrated distributed feedback laser (DFB) source is also presented, and this holding beam (HB) configuration is used to demonstrate all-optical NOT operation with data rates up to 2.5 Gbit/s. Dry etch chemistries for realizing 3.2 - 4.5 um deep waveguides, which show minimal bending losses, are developed and evaluated in order to enable dense integration of SRL devices. In addition, compact, milliwatt output power racetrack shaped cavity designs with radii as small as 10 um are presented. These devices exhibit minimal intra-cavity back-reflections by employing bi-level etching couplers and adiabatic straight to curved waveguide convertors. Finally, these developments provide a more than 150 times footprint reduction compared to large radius devices, whilst also preserving the robust unidirectional operation of their relatives with slightly lower, 20 - 30 dB DER.
Preliminary Evaluation of a 10 kW Hall Thruster

A 10 kW Hall thruster was characterized over a range of discharge voltages from 300-500 V and a range of discharge currents from 15-23 A. This corresponds to power levels from a low of 4.6 kW to a high of 10.7 kW. Over this range of discharge powers, thrust varied from 278 mN to 524 mN, specific impulse ranged from 1644 to 2392 seconds, and efficiency peaked at approximately 59%. A continuous 40 hour test was also undertaken in an attempt to gain insight with regard to long term operation of the engine. For this portion of the testing the thruster was operated at a discharge voltage of 500 V and a discharge current of 20 A. Steady-state temperatures were achieved after 3-5 hrs and very little variation in performance was detected.
Effect of the Immersion Level of a Virtual Loader Simulator on the Sense of Presence

In mobile machine industry, work machine simulators can be used to save time and costs in product development and training. However, investing into expensive or difficult-to-use technology should be avoided if it does not affect measurable user performance or feeling of presence. At Tampere University of Technology, a virtual loader simulator has been constructed in an three-wall walk-in virtual environment. The goal of this research was to investigate how the immersivity of the simulator affects testers’ feeling of presence. A total of 25 test users performed two test runs each with different simulator setups, and the presence level of each user was evaluated by a questionnaire after both runs. The results indicate that switching from 2D view to 3D stereoscopic display did not significantly affect the sense of presence. However, with the motion platform, the test users reported clearly higher presence ratings than without it. In addition, we examined some effects of the users’ backgrounds: Test users who had experience from driving large work machines reported lower presence ratings than those without such experience. The sense of presence for frequent computer players was higher than for non-players, but only in one simulator setup.Copyright © 2011 by ASME
Design of a shape memory alloy actuated implantable drug delivery system

Shape memory alloy actuators offer the advantage of extremely high power to volume ratio’s, which can be an advantage in miniature applications. This paper describes the design of an implantable drug delivery system based on shape memory alloy actuators. The proposed operating principle is based on a precisely controlled, discontinuous release from a pressurised reservoir using a shape memory alloy actuated microvalve-system. The volume of one dose can be controlled with an accuracy up to 5 microlitres. The system is remotely powered and controlled using a transcutaneous transformer. A refilling possibility based on transcutaneous injections is also provided. The design of the valve is such that it can be mounted on a printed circuit board together with the other electrical components. Furthermore, the design is optimised towards aspects like biocompatibility, low cost production, lifetime, safety, and minimal dimensions. The design is aiming at patients that need multiple injections per day over a long period of time. The current design could already reduce the number of injections by a factor of 200, but by further miniaturisation a factor of 3000 could be obtained.
A Comparison of Two Methods Used to Deal with Saturation of Multiple, Redundant Aircraft Control Effectors

ii Acknowledgments . iii Table of
ADJUSTING AND CALIBRATION METHOD FOR TPS LASER PSD SYSTEM

Laser PSD positioning system is part of the TPS girder auto-alignment system and is designed for aligning and positioning the straight-section girders of TPS storage ring. Although the components of Laser PSD system are fabricated, assembling and adjusted precisely in advance, the accuracy of the Laser PSD system is still influenced by the quality of the girder fabricated, assembling errors and moving errors by transportation. For system correction, Laser beam positions on four sets of PSDs are formulized as an equation and calibrated with Laser tracker ultimately. According to the PSD calibration formula, the two girders of 18m long straight-section can be aligned and positioned within 25um by comparing with the Laser tracker. This paper describes the assembly, installation and calibration process of Laser PSD system.
Engaging Distance and Blended Learners Online

‘I like the fact that it's simple; I like the fact that it's not too complicated, and I think that whoever developed it, developed it with the people in mind’. Blended learning master's student talking about Solent Online Learning.The authors carried out an extended project aimed at making effective use of the Virtual Learning Environment (VLE) for the delivery of high-quality online distance and blended learning. This was in response to a greater demand for such courses through the emergence of a new constituency of learner, principally professional learners, those already in employment but seeking to improve their level of qualification and employability through the study of flexibly delivered credit bearing courses. The growth of this constituency can be seen very much as a response to the changes to the funding structure in the higher education sector in the UK. To this end, the authors worked within a team that developed an approach to effective course design, the Solent Online Learning Standard, and then a new methodology for collaborating with academic staff in the development and delivery of such courses. In order to best facilitate this, the team also created a new instance of its institutional VLE, called Solent Online Learning and tailored more to the needs of these new professional learners.
Error-free detection of ultrashort-pulse CDMA signals in a hybrid optical WDM-CDMA system

Summary form only given.Ultrashort-pulse code-division multiple-access (CDMA) communications based on spectral phase encoding and decoding of coherent pulses has been studied by several groups recently. We report experiments on a hybrid WDM-CDMA fiber communication system, in which ultrashort pulse CDMA signals are spectrally overlaid with a wavelength-division-multiplexing (WDM) data stream. Because the broadband CDMA signals utilize the bandwidth occupied by the guard bands between WDM channels, the overall system-bandwidth efficiency is increased. The CDMA channels provide additional transmission bandwidth for WDM systems already operating at capacity or can be used to support bursty network traffic. Because WDM signals and CDMA signals coexist in both spectral and temporal domains, one of the key issues in the hybrid system is to reject WDM interference for CDMA detection. We demonstrate the complete rejection of a WDM channel for the error-free detection of CDMA signals by the use of a narrow-band spectral notch filter and a fiber nonlinear thresholder. We also perform experiments that indicate the feasibility of scaling to multiple WDM channels while maintaining error-free CDMA operation.
Drug-Induced Tardive Dyskinesia

Drug-induced movement disorders could be classified into acute, subacute, and chronic based on the time of occurrence. Tardive dyskinesia (TD) is one of the most frequent long-term drug-induced movement disorders. Delay in treatment often caused TD to be irreversible. In this review, we will discuss TD in-depth to enhance clinician knowledge regarding the diagnosis, prevention, and comprehensive management of patients with TD. Keywords: tardive dyskinesia, movement, disorder, antipsychotic.
Dynamic Binary Response Models: an Application to Risk Management

In this paper we propose a new tool for backtesting that examines the quality of Valueat-Risk (VaR) forecasts. To date, the most distinguished regression-based backtest, proposed by Engle and Manganelli (2004) relies on a linear model. However, in view of the dichotomic character of the violation’s series, a non-linear model seems more appropriate. In this paper we thus propose a new tool for backtesting (denoted DB) based on a dynamic binary regression model. First, it is easy to implement. Second, it allows for a separate test for unconditional coverage, independence and conditional coverage hypotheses. Third, Monte-Carlo experiments show that the DB test exhibits better small sample properties in realistic sample settings (1% coverage rate with estimation risk) than previously suggested tests. An application on a portfolio composed of three assets included in the CAC40 market index shows that the validity of the VaR cannot be rejected by any of the three tests considered, i.e. DB, DQ, LR. These ndings are proven to be robust to model choice as well as to the coverage rate choice.
A Non-Equilibrium Theory of Merger Waves *

Mergers are known to come in waves. This paper offers a computational model of industry dynamics, in which endogenously generated mergers exhibit a wave-like pattern. The root cause of this emergent behavior is random technological shocks which change the absolute and relative unit costs of existing firms’ technologies. This mechanism induces other dynamic patterns consistent with several well-known empirical regularities. Through a comparative dynamics analysis, I investigate the impact of mergers on the steady-state structure and performance of the industry, and offer predictions on how industry-specific factors determine the between-industry variations in merger intensity.
Linking Budgeting with Computational Thinking Pedagogy: Program Theory, Performance, and Budgeting

The pedagogy involved with preparing and delivering an analytically based course must contend with a number of important limitations or challenges. The challenges/limitations include needing a context for the use of the analytics being taught; others include where best to embed analytic courses in degree curriculum, determining content and delivery along with a number of additional limitations. A context can be created for these courses by establishing a base of usefulness of the course content and how it relates to other courses and to professional applications. However, one useful approach for a budgeting course is to put the analytics in a context of production and performance. These two significant elements of any problem-solving organization finance and budgeting process are significant features of teaching a course in budgeting. The article presented here is an illustration of a context-based approach along with features of pedagogy based in computational thinking which can be used to operationalize course elements while overcoming other salient limitations for analytic courses. The exemplar of a budgeting course is posed as an example.
Seedling Diversity Considerably Changes Near Localities in Three Salinity Zones of Sundarbans Mangrove Forest, Bangladesh

The status of natural seedlings near localities in the Sundarbans Mangrove Forest was assessed through a stratified random sampling method to observe seedling composition and diversity, importance value index, family importance value, and species evenness. A total of 63 sample plots of 3,990 m2 area were surveyed in three natural and anthropogenic influenced salinity zones of Sundarbans. A total of 16,166 seedlings of 15 species under 12 families were found. Family Euphorbiaceae showed the highest (59.59%) family relative density and Rhizophoraceae presented the highest (20%) family relative diversity Index (FRDI). The maximum family importance value (FIV) showed by Euphorbiaceae (66.26) and the maximum importance value index (IVI) of species has been observed in Excoecaria agallocha (114.74). Excoecaria agallocha showed the highest relative density (59.6%) and relative abundance (39.87%) where the highest relative frequency (15.27%) was observed by Heritiera fomes. The mean stem density and species diversity index in the whole survey area was 2701 stem ha-1 and 0.0009 correspondingly. The Shannon-Wienner's diversity index was 1.52 where the maximum Shannon-Wienner's diversity index was 2.708. The Simpson's diversity index and Dominance of Simpson index were 0.38 and 0.62 with Simpson's reciprocal index 2.632. The Species evenness index, Menhinick’s, and Margalef's indices were 0.561, 0.118, and 1.445 respectively. The Species diversity index of the three salinity zones were 0.0017, 0.0029, and 0.0035 respectively. The Shannon-Wienner's diversity index of Low Salinity Zone (LSZ), Moderate Salinity Zone (MSZ), and Strong Salinity Zone (SSZ) were 0.887, 1.369, and 1.845 correspondingly where LSZ (0.632) showed the highest Simpson's diversity index follow ed by MSZ (0.394) and SSZ (0.21). The Species evenness index for LSZ, MSZ, and SSZ were 0.346, 0.505, and 0.742 where Menhinick’s Index were 0.148, 0.210, and 0.207 respectively. The analysis showed poor diversity indices and the area was dominated by few species with few families. The status is also reduced with increasing salinity.
Iterative learning control for position tracking of a pneumatic actuated X-Y table

The iterative learning control (ILC) learns the unknown information from repeated control operations. The tracking error from previous stages is used as the correction factor for the next control action. Therefore, the ILC controller can make the system tracking error converge to a small region within the limited numbers of iterations. A proportional-valve controlled pneumatic X-Y table system is built to perform the position tracking control experiments. The ILC controllers are implemented in the experiments and the results are compared. The P-type updating law with delay parameters are used for both the x and y axes in the repetitive trajectory tracking control. Experimental results show that the ILC controller can effectively control the system to track the given circular trajectory at different speeds. The controller parameters are varied for studying their effects. Inertial disturbance is also added to show the learning performance of the ILC controller.
FPSO Roll Damping Prediction from CFD and 2D and 3D Model Tests Investigations

Large FPSO’s are the main component of the deep water production system proposed for the west Africa fields (Girassol, Dalia, Erha, …). Due to mild sea-states occuring in this area, a spread mooring pattern are classically used. The floater is generally oriented along the most probable swell direction. However wind driven seas directional spreading can induce relatively low roll response which could governed the hull, risers and mooring lines fatigue life. Extreme roll motion limitation is also required for topsides equipment design. The roll damping prediction remains a difficult problem as it results mainly from the viscous flow taking place around the hull. Bilge keels are generally added to increase roll damping through vortex shedding. During the last four years, a French JIP investigated the roll motion prediction for box shape FPSO’s through large scale model tests and numerical analysis. This study presents the main results of these JIP’s: • roll damping coefficients deduced from 2D and 3D model tests and 2D CFD calculations. Good agreement has been obtained between experimental and computed results both for loads and local velocity • Riser and mooring lines have a significant impact on roll motion in mild sea states • The methodology to predict the roll response in frequency (RAOs) is assessed by comparison with 3D large scale model test.
Corporate social responsibility performance index model from stakeholder's perspective: case of an industrial company

Corporate social responsibility is a crucial part of a company's strategy plan. It is a response to various issues in industrial companies such as governance, labour practices, environment, consumers, and community. The objective of Social Responsibility (SR) is to contribute to sustainable development. Considering the challenges, we developed a new Social Responsibility Performance Index (SRPI) model according to the principles and core subjects in the ISO 26000 standard. Our model's originality is based on a holistic approach by using Structural Equation Modelling (SEM), to assess and validate the simultaneous contribution of all the relationships estimated between the seven core subjects and their issues. The SRP index will indicate the extent to which a company has social responsibility and in which issues it lacks such responsibility if any. The SRPI model has been implemented in the first combined-cycle power plant in Morocco. A questionnaire survey was created to test the model by collecting perceptions from company's stakeholders. Our findings show that the index score for each core subject ranges from 62% to 70%. However, some issues must be more valued by the company to enhance the SRP index. Finally, to improve the SRPI model other implementations are in progress within various companies.
The LANSCE data acquisition system and SMARTS

To meet the data acquisition requirements for five new neutron scattering instruments at the Los Alamos Neutron Science Center; (ANSCE), we are building new systems using Web tools commercial hardware and software, software developed by the controls community, and custom hardware developed by the neutron scattering community. To service these new instruments as well as seven existing instruments, our data acquisition system needs common software and hardware core capabilities and the means to flexibly integrate them while differentiating the needs of the diverse instrument suite. We report the features offered by our architecture that will simultaneously be functional and flexible, and then summarize the progress for hardware and software that can in fact meet the performance requirements demanded. We show how one of the five new instruments, the Spectrometer for Materials Research at Temperature and Stress, SMARTS, proposes to use the LANSCE data acquisition system for experiments that integrate event counting, real-time data analysis, and slow controls.
Visual regulation during competition long jumps and run-throughs

Previous investigators have reported that the ability of long jumpers to visually regulate their stride pattern as they approach the take-off board is critical for success. The importance of visual regulation (VA) on long jump (LJ) distance was assessed in six national-class competitors during two simulated competitions. Linear regression analyses indicated that increased VR contributes to a high average approach velocity -a key predictor of LJ distance. Early VA enabled the athletes to make small systematic adjustments to stride length in order to strike the board in an optimal take-off position, without sacrificing approach velocity. Athletes practice their LJ approach by repeating the stride pattern of the approach, but without the take-off. The current study established that these 'run-throughs' (AT) don't accurately simulate the VR characteristics of a LJ approach. One strategy to increase the VA required during RT's may be to place additional targets across the runway for the athletes to negotiate whilst approaching the take-off board, without compromising approach velocity.