Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring the Data Processing Practices of Cloud ERP—A Case Study

Although cloud enterprise resource planning (ERP) systems are becoming popular, there are still firms that have yet to migrate to the cloud because of data confidentiality and data security concerns. Firms that plan to adopt cloud ERP systems are expected to first understand cloud ERP's data processing practices. This study proposes a case study method with a systematic content analysis of cloud ERP providers' data processing agreements. The study will explore the data disclosure, data security, data sub-processing, and data retention and deletion practices of cloud ERP providers. In addition, this study investigates the linguistic characteristics of cloud ERP providers' data processing agreements including readability, litigious language, and uncertainty language. The findings of this study can help organizations to have a better understanding of the data process practices of cloud ERP providers, as well as the shared responsibilities between cloud ERP providers and users in maintaining data security.
Optimization of geometric parameters of latticed structures using genetic algorithm

Purpose – The purpose of this paper is to analyze a squared lattice cylindrical shell under compressive axial load and to optimize the geometric parameters to achieve the maximum buckling load. Also a comparison between buckling loads of a squared lattice cylinder and a solid hollow cylinder with equal weight, length and outer diameter is performed to reveal the superior performance of the squared lattice cylindrical shells.Design/methodology/approach – A cylindrical lattice shell includes circumferential and longitudinal rods with geometric parameters such as cross‐section areas of the rods, distances and angles between them. In this study, the governing differential equation for buckling load which can be presumed as a criterion for designing lattice structures with a specific weight is derived and is used as an objective function in genetic algorithm (GA) method to calculate the optimum geometric parameters of the shell. The optimum parameters were modelled in finite element method (FEM) in order to ve.
Comparison Between Numerical Modeling and Experimental Testing of a Point Absorber WEC Using Linear Power Take-Off System

Currently, a number of wave energy converters are being analyzed by means of numerical models in order to predict the electrical power generation under given wave conditions. A common characteristic of this procedure is to integrate the loadings from the hydrodynamics, power take-off and mooring systems into a central wave to wire model. The power production then depends on the control strategy which is applied to the device. The objective of this paper is to develop numerical methods for motion analysis of marine structures with a special emphasis on wave energy converters. Two different time domain models are applied to a point absorber system working in pitch mode only. The device is similar to the well-known Wavestar prototype located in the Danish North Sea. A laboratory model has been set up in order to validate the numerical simulations of the dynamics. Wave Excitation force and the response of the device for regular and irregular waves were measured. Good correspondence is found between the numerical and the physical model for relatively mild wave conditions. For higher waves the numerical model seems to underestimate the response of the device due to its linear fluid-structure interaction assumption and linearized equation of motion. The region over which the numerical model is valid will be presented in terms of non-dimensional parameters describing the different wave states.Copyright © 2012 by ASME
Wind Turbines in Series; A Parametric Analysis

An analysis is made of wind turbines in a row by means of an extension to actuator disk theory and a representation of the turbulent diffusion in the wake by a velocity deficit scale and a single free parameter. Beyond this, no wake model is used. It is shown that when the thrust coefficient is ‘high’ a maximisation of overall power output leads to a large drop in power after the first turbine, followed by a fairly constant level and a rise at the end of the row; this behaviour is a natural consequence of optimisation, and on this basis a ‘deep array effect’ is to be expected. A variation of turbine size and the effect of impaired turbine performance are examined. The approach can also be used to calculate the turbine upstream velocity (with respect to a reference) from a distribution of measured power output and to make inferences about wake development. The approach could be useful in the assessment of wake models as well as turbine operation.
Irrigation and crop water requirement estimation for oil palms using soil moisture balance model in Peninsular Malaysia

This study presents the irrigation and crop water estimation in a Malaysian oil palm plantation for effective irrigation water management during water years 2013 and 2014. The study area was divided into four plots: 2000, 2002, 2006 and 2010, indicating years of peat swamp forest conversion to oil palm plantation. Hydrologic Engineering Centre-Hydrologic Modeling System (HEC-HMS) and Soil moisture balance hydrologic models were used to model the rainfall-runoff in the basin. Statistical analysis using coefficient of determination (R2) and Nash–Sutcliffe efficiency coefficient (NSE) were used to evaluate the performance and correlation of the two hydrologic models. The result showed that R2 and NSE were 0.94 and 0.90 respectively for calibration and 0.92 and 0.54 respectively, for monthly validation. This showed that the models performed well for simulation of the peatland hydrology. With the modelling of rainfall-runoff satisfied, the irrigation demand of the study plots was determined using the same soil moisture balance model. The irrigation demand ranged from 0.893 to 1.6 million cubic meters (MCM) in 2010 and 2000 study plots respectively. Irrigation demand is observed to be site specific which depends on the soil moisture deficit, readily available water in the oil palm root zone and oil palm rooting depth. Estimation of a future oil palm water requirement using the soil moisture balance model would be recommended for further studies for use as an advisory manual for the oil palm managers to enhance adequate water resources planning for oil palm productivity.
Combined effects of weight change trajectories and lifestyle factors on adiposity status at four years of age, a birth cohort study

Background : Prior studies suggested that rapid weight change in infancy is associated with increased childhood and adulthood weight status. However, the weight change trajectory in early life over time and the extent to which childhood lifestyle behaviors may modify the risk of infant rapid weight change are not completely understood. Our aims were to characterize weight change trajectory early in life and explore its independent/combined effects with childhood lifestyle factors on adiposity outcomes at four years of age. Methods : In our ongoing birth cohort study, we used nine follow-up time points (birth, 3, 6, 9, 12, 18, 24 months, and 3, 4 years) to calculate the change between two adjacent weight for age z-scores ( WAZ-change ), and then to define WAZ-change trajectories using group-based trajectory modeling. The independent/combined effects of WAZ-change trajectories with each lifestyle factor ( eating behaviors , physical activity, media exposure time and total sleep duration) on childhood adiposity measures were determined using multivariate regression (where applicable). Results : A total of 84 (38.0%) children had a steady growth trajectory while the other 137 (62.0%) children had an early rapid growth trajectory most notable during the first six months. Compared to children with steady growth, children with early rapid growth had significantly higher adiposity status at four years of age - body mass index (β = 0.93, 95% CI: 0.59, 1.37), waist circumference (β = 1.90, 95% CI: 0.68, 3.12), and subcutaneous fat (β = 2.57, 95% CI: 1.13, 4.01). Moreover, WAZ-change trajectory not only had an independent effect, but also a combined effect with eating behaviors on most adiposity measures. Conclusions : We have identified two distinct weight change trajectories and described their independent and combined effects with eating behaviors on childhood adiposity measures. Larger samples and a longer period of observation through childhood are needed to replicate our findings.
Application of support vector machine in flaw identification of aircraft bolts

This paper made some research on the method of feature extraction of ultrasonic flaw echo signals based on WPT, which can reserve the characteristics of high-frequency. After de-noising and feature extracting, characteristic vectors were measured and used to train SVM classifier. The SVM classification method could seek for the vectors which had preferable classifying ability. Through the real tests of aircraft bolts, the method had advantages such as high accuracy and high applicable value.
Investigation of differential movement at railroad bridge approaches through geotechnical instrumentation

Railway transitions experience differential movements due to differences in track system stiffness, track damping characteristics, foundation type, ballast settlement from fouling and/or degradation, as well as fill and subgrade settlement. This differential movement is especially problematic for high speed rail infrastructure as the ‘bump’ at the transition is accentuated at high speeds. Identification of different factors contributing towards this differential movement, as well as development of design and maintenance strategies to mitigate the problem is imperative for the safe and economical operation of both freight and passenger rail networks. This paper presents the research framework and initial instrumentation details from an ongoing research effort at the University of Illinois at Urbana-Champaign. Three bridge approaches experiencing recurrent geometry problems were instrumented using multidepth deflectometers (MDDs) and strain gages to identify different factors contributing to the development of differential movements.
Optical proximity correction challenges with highly elliptical contacts

The steady march of Moore's law demands ever smaller feature sizes to be printed and Optical Proximity Correction to correct to ever tighter dimensional tolerances. Recently pitch doubling techniques has relieved the pressure on CD reduction, which instead of being achieved lithographically are reduced by subsequent etching or chemical interaction with spin-on layers. CD tolerance reductions, however, still need to match the overall design rule shrinkage. The move to immersion lithography, where effective Numerical Apertures now reach 1.35, has been accompanied by a significantly reduction in depth of focus, especially on isolated contacts. To remedy this, RET techniques such as assist feature placement, have been implemented. Certain local placements of assist features and neighboring contacts are observed to result in highly elliptical contacts being printed. In some layouts small changes in the aspect ratio of the contact on the mask leads to strong changes in the aspect ratio of the printed contact, whereas in other layouts the response is very weak. This effect can be described as an aspect ratio MEEF. The latter type of contact can pose a significant challenge to the OPC recipe which is driven by the need to place the printed contour within a small range of distance from target points placed on the midpoint of edges of a nominally square contact. The OPC challenge naturally will be compounded when the target layout is rectangular in the opposite sense to the natural elliptical shape of the printed contact. Approaches to solving this can vary from intervening at the assist feature placement stage, at the possible loss of depth of focus, to accepting a certain degree of ellipticity in the final contour and making the OPC recipe concentrate on minimizing any residual errors. This paper investigates which contact layouts are most challenging, discusses the compromises associated with achieving the correction target and results are shown from a few different approaches to resolving these issues.
5.2.3 Engineering Management Pocket Guides: The “TripTik” Approach to Capability Maturity Models

Many managers are looking for tools to help them implement better systems engineering practices. Capability Maturity Models are such a tool, but they are inherently complex and subtle tools that often take more time to understand than what many people are willing to give. SECAT LLC has developed a series of Pocket Guides, designed to make the Systems Engineering Capability Maturity Model accessible to the casual user. Pocket Guides cut straight to the key points so that your organization can stop repeating past mistakes, improve your ability to deliver a product on time and on budget, and use your limited improvement resources effectively. Pocket Guides are icon based distillations of the SE‐CMM, written in a straightforward language with a series of recommended practices. There are four in the series, each designed for a specific type of person: systems engineers, program managers, organizational leaders and process improvement personnel.
Peramalan Konsumsi Listrik Jangka Pendek Dengan Arima Musiman Ganda Dan Elman-recurrent Neural Network

Neural network (NN) is one of many method used to predict the electricity consumption per hour in many countries. NN method which is used in many previous studies is Feed-Forward Neural Network (FFNN) or Autoregressive Neural Network(AR-NN). AR-NN model is not able to capture and explain the effect of moving average (MA) order on a time series of data. This research was conducted with the purpose of reviewing the application of other types of NN, that is Elman-Recurrent Neural Network (Elman-RNN) which could explain MA order effect and compare the result of prediction accuracy with multiple seasonal ARIMA (Autoregressive Integrated Moving Average) models. As a case study, we used data electricity consumption per hour in Mengare Gresik. Result of analysis showed that the best of double seasonal Arima models suited to short-term forecasting in the case study data is ARIMA([1,2,3,4,6,7,9,10,14,21,33],1,8)(0,1,1)24 (1,1,0)168. This model produces a white noise residuals, but it does not have a normal distribution due to suspected outlier. Outlier detection in iterative produce 14 innovation outliers. There are 4 inputs of Elman-RNN network that were examined and tested for forecasting the data, the input according to lag Arima, input such as lag Arima plus 14 dummy outlier, inputs are the lag-multiples of 24 up to lag 480, and the inputs are lag 1 and lag multiples of 24+1. All of four network uses one hidden layer with tangent sigmoid activation function and one output with a linear function. The result of comparative forecast accuracy through value of MAPE out-sample showed that the fourth networks, namely Elman-RNN (22, 3, 1), is the best model for forecasting electricity consumption per hour in short term in Mengare Gresik.
Relationship between employee involvement and lean manufacturing and its effect on performance in a rigid continuous process industry

This research aims to empirically test the effect of employee involvement on lean manufacturing (LM), and the effect of LM on production outcomes. Employee involvement is operationalised through four related variables: empowerment, training, contingent remuneration and communication. The effects are tested by recording management perceptions in a different industrial sector from those usually studied in previous research – ceramic manufacturers, a highly competitive and internationally successful sector. We obtained data from 101 ceramic tile plants (64% of response rate) in the Valencia region of Spain. This approach is developed using a statistical method called partial least squares. All paths are significant except for contingent remuneration; specifically, relationships were found between empowerment, training, communication and LM, and between LM and performance.
Hybrid Enhanced Lagrangian Relaxation and Quadratic Programming for Hydrothermal Scheduling

Abstract This article proposes a hybrid enhanced Lagrangian relaxation and quadratic programming (hybrid LRQP) for hydrothermal scheduling. Hybrid LRQP minimizes the total production cost subject to power balance, spinning reserve, generation limit, minimum up and down time, generation ramp limit, on/off line minimum level, transmission line, limited fuel, environmental, water discharge and water balance constraints. The proposed solution method solves hydrothermal scheduling problem using two coordination procedures. In the first procedure, enhanced Lagrangian relaxation (ELR) is used to find the base feasible schedule of all thermal generation system excluding hydro power plants and relaxing transmission line constraints. ELR is enhanced by new initialization and adaptive Lagrangian multipliers to speedup the convergence. In the second procedure, economic dispatch by quadratic programming, thermal unit decommitment and hydro unit commitment are carried out. The proposed 24-hour economic dispatch could easily consider generation ramp rate limit, and time coupling constraints such as limited fuel supply, environmental, water discharge, and water balance constraints. Hybrid LRQP is tested on hydrothermal system with 17 thermal, 2 hydro and 2 pumped storage hydro plants, and IEEE 24 bus reliability test system. Test results indicate that hybrid LRQP could obtain better solutions than those obtained from augmented hopfield network and augmented Lagrangian relaxation.
Energy-absorption capability of multi-axial warp-knitted FRP tubes

With fibre-reinforced plastics (FRPs) being adopted widely in many fields, low manufacturing cost with high mechanical property is urgently required. Unfortunately, traditional composite structures and manufacturing methods are very labour-intensive and not cost-effective for wide commercial applications. Therefore, multi-axial warp knitting (MWK) is attractive as a new reinforcement form in composite structures because it incorporates textile structural property and the automated pultrusion process. Additionally, this fabric, made by connecting several fibre layers by stitching yarns, is considered to enhance the property through the thickness, which also raises questions as to its effect on energy absorption. In this study, several forms of glass and carbon MWK FRP tubes fabricated by pultrusion process, which have circular or square cross-section geometries, were axially crushed by quasi-static, high compressive speed or impact crash tests to determine the energy-absorption capabilities. It is found that the energy-management capacities of FRP tubes involved in different MWK fabrics are different both in the typical load/displacement response and in terms of specific energy absorption. The cross sections were observed microscopically to clarify the effect of the constitution and the position of MWK fabric.
Factors Affect the Survival Status of HIV Infected Patients under ART: The Case of Wolisso Catholic Hospital, Wolisso, Ethiopia, 2016.

INTRODUCTION: Monitoring the length of survival after diagnosis is, therefore, an important component of the surveillance of AIDS. It provides a basis for evaluating individual prognostic factors. The survival of patients with AIDS may depend on a variety of factors that are socio-demographic and clinical factors. The study is designed to identify factors that affect the survival status of HIV infected patients under ART in Wolisso, Ethiopia. METHODS: This is a retrospective study based on cases of HIV infected patients of age 15 years and above who have started ART from September 2010 to August 2013 and followed until February 30th, 2014. To analyze the data descriptive statistics, univariate and multivariate analyses were used. The descriptive analysis indicates that out of the total of 658 HIV-infected patients, 533(81%) are censored and 125(19%) are uncensored in the study. And, from 125 uncensored patients, 60(9.1%) patients have died and 65(9.9%) are dropped out cases. The overall mean estimated survival time of patients under the study was 33.76(95% CI: 32.6-34.9) months.RESULTS: The Kaplan Meier method was used to estimate the survival time and Cox’s regression model was employed to identify the covariates that have a statistically significant effect on the survival of HIV-infected patients. Based on the log-rank test, there was a significant difference in survival experience between the various categories of gender, marital status, work type, duration of pre-ART, regimen type, functional status, TB type, WHO clinical stage, condom use, and substance abuse (like smoking or alcoholic). And, the multivariate analysis of the Cox regression model gives that CD4 count, functional status, TB type, WHO clinical stage, condom use, and substance abuse are significant risk factors for survival of HIV-infected patients. CONCLUSION: The patients with low CD4 count, WHO stage III or IV, being ambulatory or bedridden, extra-pulmonary, not used condom, and substance abuse were associated with a high risk of death or dropped out the ART of the patients. Therefore, it is recommended that these at-risk patients need careful monitoring to improve their survival times by the concerned bodies.
Evolving variability tolerant logic

Intrinsic variability occurs between individual MOSFET transistors caused by atomic-scale differences in the construction of devices. The impact of this variability will become a major issue in future circuit design as the devices scale below 50nm. In this thesis, the background to the causes and effects of intrinsic variability, in particular that of random dopant placement and line-edge roughness, is discuss. A system is developed which uses a genetic algorithm to attempt to optimise the dimensions of transistors within standard-cell libraries, with the aim of improving performance and reducing the impact of intrinsic variability in terms of the effect on circuit delay and power consumption. The genetic algorithm uses a multi-objective fitness function to allow a number of circuit characteristics to be considered in the evolution process. The system is tested using different standard-cell libraries from open-source and commercial providers, with developments and alterations to the system that have been made throughout the course of the experiments discussed. Comparisons of the performance with other optimisation techniques, hill climbing and simulated-annealing, are discussed. The optimisation process concludes with the use of e-Science techniques to allow for detailed statistical analysis of the evolved designs on high-performance computing clusters. The observed results for two-input logic gates demonstrate that the technique can be effective in the reduction of statistical spread in the delay and power consumption of circuits subject to intrinsic variability. The thesis finishes with the investigation of larger circuits which are assembled from the optimised cells. A proposed design methodology is introduced, in which the processes of logic design are broken into small blocks, each of which uses techniques from evolutionary computation to improve performance. This includes an investigation into the application of a multi-objective fitness function to improve the performance of logic circuits evolved using Cartesian Genetic Programming, which produces designs for logic multiplier and display driver circuits which are competitive with human-produced designs and other evolved designs. These designs are assessed for their variability tolerance, with the multiplier circuit demonstrating an improvement in delay variability.