Miracle-dz/UniFAR-FTUs huggingface dataset:
Management Perspective of the Balanced Scorecard to Measure Safety Culture in Construction Projects in Singapore

Abstract The construction industry is perceived to be a dangerous industry. Since 1994, fatalities and accidents in the construction industry in Singapore have continued unabated despite stringent legislation and regulation. The frequency and severity of occupational accidents and injuries of the construction industry in Singapore are high. Construction organisations are becoming more aware that controlling physical aspects and technical hazards are not the only way to reduce accidents. However, these organisations lack the insight for the development of effective performance measures and metrics needed to achieve a comprehensive safety system. Most safety performance measurement systems have been preoccupied with the negative consequence of site accidents rather than pro-active prevention strategies. This paper reports the findings of a study into the development of a performance measurement tool using Balanced Scorecard to measure safety performance on site. The authors discussed a framework and presented the results of a survey to identify the management goals that would contribute to a positive safety culture. The results of a survey conducted by this study suggest that safety culture on construction sites can be improved by achieving four management related goals. The goals are top management commitment to improving safety, selecting more safety-aware subcontractors, having a workforce that is competent, professional and capable of completing the project within the required safety requirements.
Predicting Vertical Acceleration in Vehicles Through Road Roughness

This study investigated the use and suitability of the International Roughness Index (IRI) for predicting vertical acceleration in truck shipments at recommended highway speeds. The investigation resulted in the development of a mathematical procedure for predicting the expected power‐spectral‐density (PSD) vertical acceleration at a specific location on the truck bed as a function of IRI, pavement type and age, dynamic characteristics of the vehicle, and speed of travel. The data for this study were collected from 20 different sections of highway pavements using two devices: a profilometer, which recorded elevation profiles of the pavement sections, and an accelerometer, which measured the vertical acceleration in the rear of a tractor semitrailer truck bed traveling at one of three different speeds. A major result of this study is procedure for estimating the PSD vertical acceleration in the rear of the truck bed for selected pavement categories and truck speeds using only the pavement IRI and the vehic.
A Gandhian Perspective on Peace

In Gandhi's theory of peace, human values take great prominence. Nonviolence (ahimsa) is a way of life rather than a tactic, and, together with the search for truth (satyagraha), makes the difference between passive submission to injustice, and an active struggle against it. This struggle excludes both physical violence and casting the opponent in the role of enemy, and hence presupposes compassion and self-criticism. The notion of welfare to all (sarvodaya) also sees peace as incompatible with exploitation or inequality of wealth. Peace is not seen as an end state, but as a continuous revolutionary process, where ends cannot be separated from means.
Organic small molecule field-effect transistors with Cytop™ gate dielectric: Eliminating gate bias stress effects

Organic field-effect transistors with unprecedented resistance against gate bias stress are described. The single crystal and thin-film transistors employ the organic gate dielectric Cytop™. This fluoropolymer is highly water repellent and shows a remarkable electrical breakdown strength. The single crystal transistors are consistently of very high electrical quality: near zero onset, very steep subthreshold swing [average: 1.3nFV∕(decadecm2)] and negligible current hysteresis. Furthermore, extended gate bias stress only leads to marginal changes in the transfer characteristics. It appears that there is no conceptual limitation for the stability of organic semiconductors in contrast to hydrogenated amorphous silicon.
ARIMA Models for Data Consistency of Flowmeters in Water Distribution Networks

Abstract This paper presents a signal analysis methodology to check the coherence of the flowmeters data in a water distribution network telecontrol system. The proposed methodology is based on a new daily ARIMA forecasting model. Finally, the proposed methodology has been applied to the Barcelona water distribution network providing very good results by comparison with other ARIMA forecasting models proposed previously in Quevedo et al. (2006).
Utilization of a mobile infrared scene projector for hardware-in-the-loop test and evaluation of installed imaging infrared sensors

The utilization of a 672 X 544-resistor array based Mobile Infrared Scene Projector (MIRSP) for hardware-in-the- loop test and evaluation of installed imaging infrared (I2R) sensors is presented. The Army US Test and Evaluation Command is developing MIRSP systems for T&E of I2R sensors installed on both aviation and ground platforms. The initial pathfinder MIRSP, discussed here, will be used as a risk-mitigation tool to help determine and define requirements for the objective MIRSP systems. A description of the pathfinder MIRSP configuration, performance characteristics, and operational modes is provided.
The Realization of Low Stress and Nonangular Distortion by Double-Sided Double Arc Welding

Control welding residual stress aid distortion is extremely important in manufacturing industry. Double-sided double are welding (DSDAW), which can control residual stress and angular distortion, is developed. Because arc distance between fore and rear torches is the key effective factor of angular distortions in DSDAW, its effects are not clear on the stress and angular distortions. In this study, numerical simulation is used to predict the transient temperature and welding distortion and stress with different arc distances. Meanwhile, the transient temperature and angular distortion are measured. The calculated results are in good agreement with the experimental results. The effects of arc distance on the angular distortion and stress are investigated. Lower stress and nonangular distortion is obtained at are distances of 0 mm and 50 mm.
Implementation of a Bottom-Hole Assembly Program

A state of the art graphical user interface program has been developed to predict and design the bottom-hole assembly (BHA) performance for drilling. The techniques and algorithms developed in the program are based on those developed by Lubinski and Williamson. The BHA program facilitates conducting parametric studies and making field decisions for optimal BHA performance. The input parameters may include formation class, dip angle, hole size, drill collar size, number of stabilizers, and stabilizer spacing. The program takes into consideration bit-formation characteristics and interaction, drilling fluid weight, drill collar sizes, square collars, shock absorbers, measurement while drilling tools, reamer tools, directional tools, rotary steerable systems, etc. The output may consist of hole curvature (buildup or drop rate), hole angle, and weight on bit and is presented in drilling semantics. Additionally, the program can perform mechanical analyses and can solve for the bending moments and reaction forces. Moreover, the program has the capability to predict the wellpath using a drill ahead algorithm. The program consists of a mathematical model that makes assumptions of 2D, static, and constant hole curvature, resulting in a robust computationally efficient tool that produces rapid reliable results.
Electrical observations of filamentary conductions for the resistive memory switching in NiO films

Experimental results on the bistable resistive memory switching in submicron sized NiO memory cells are presented. By using a current-bias method, intermediate resistance states and anomalous resistance fluctuations between resistance states are observed during the resistive transition from high resistance state to low resistance state. They are interpreted to be associated with filamentary conducting paths with their formation and rupture for the memory switching origin in NiO. The experimental results are discussed on the basis of filamentary conductions in consideration of local Joule heating effect.
Prevalence and Associated Factors of Post-Traumatic Stress Disorder (PTSD) Among a Cohort of Post-Partum Sri Lankan women: A Cross Sectional Study

BackgroundPost-Traumatic Stress Disorder (PTSD) usually follows a catastrophic event. However, the experience of child birth can be severe enough to cause PTSD in some women.MethodsA cross-sectional study was conducted in field clinics of a semi-urban area. A pre-tested interviewer administered checklist was used to collect socio-demographic and pregnancy related data. Pre-existing self-administered, validated Sinhalese versions of the Edinburgh Postnatal Depression Scale (EPDS) and PTSD Symptom Scale-Self Report (PSS-SR) were used to assess the presence of Post-Partum Depression (PPD) and PTSD, respectively. Each participant was assessed at one, two and six months after the delivery for PTSD and PPD. Scores of PPD >9 and PSS-SR >13 were taken as positive for the two conditions, respectively. ResultsData was obtained from 225 women who were at their first month postpartum, for the initial study. The response rate at their follow-up visits at the second and sixth months were 95% (n=214) and 94% (n=211). The point prevalence of postpartum PTSD was recorded as 2.7% (n=6), 0.9% (n=2) and 0.5% (n=1) at their first, second and sixth month postpartum, respectively. A period prevalence of 3.6% was observed over 6 months. Verbal abuse during labour (p=0.04) and the presence of postpartum depression (P≤0.001) were significantly associated with postpartum PTSD. There were no significant associations between PTSD and gestational age at delivery, whether it was a pregnancy planned ahead or not, a history of subfertility, family history of psychiatric disorders, intimate partner violence, receiving antenatal counseling, type and mode of delivery, duration of labour, presence of a labour companion, mental trauma, presence of post-partum hemorrhage, manual removal of placenta, negative birth experience, low APGAR score of the baby at delivery, receiving neonatal and maternal intensive care, birth defects, problems with breast feeding or opportunities to discuss problems with a health care worker. ConclusionsPrevalence of postpartum PTSD in this semi-urban community during the study period was 3.6%; which is in par with the overall global prevalence. PTSD was significantly associated with verbal abuse during labour and postpartum depression.
Modeling Hourly Energy Use in Commercial Buildings With Fourier Series Functional Forms

Hourly energy use in commercial buildings shows periodic variation in daily and annual cycles. Moreover, the pattern of variation is such that Fourier series functional forms provide one of the best approaches for modeling this behavior. Results from numerous case studies have demonstrated the power of Fourier series as a modeling tool to represent hourly energy use in commercial buildings. This paper describes the Fourier series approaches that have been developed for modeling energy use in commercial buildings and presents the results of application to data collected from many sites.
The Domestic Shape of AI: A Reflection on Virtual Assistants

Artificial intelligence is more-or-less covertly entering our lives and houses. In this context, virtual assistants such as the renowned Amazon Alexa and the products that embed them, are the most representative of the first wave of materialization of artificial intelligence in the domestic domain. We focus on these products, studying their tangible form and appearance as well as the interaction modalities of 10 domestic virtual assistants already in the market or close to be. Our analysis highlights two main approaches in terms of shape: on the one hand AI is embedded into common home appliances – usually speakers – while, on the other hand, robot-like assistants are taking ground. Concurrently, we portray a still immature reflection on this issue from a design perspective. We highlight a frequently poor translation of functions into tangible shapes as well as a lack of reflection on interaction design basics, such as: input and output modalities, feedback systems and functions discoverability. The subsequent discussion frames the results in a broader reflection about shape, function and meaning paving the way to alternative paths to follow for the design of future home virtual assistants.
Modeling And Control Of Robot Manipulators

Design and Control of Intelligent Robotic SystemsRobotics, Vision and ControlModeling, Identification & Control of RobotsFeedback Control of Dynamic Bipedal Robot LocomotionModeling and Control of Vehicular and Robotic SystemsBioinspired Legged LocomotionModelling and Control of Mechatronic and Robotic SystemsModel-Based Control of a Robot ManipulatorThe Reaction Wheel PendulumControl of Robot Manipulators in Joint SpaceAdvanced Dynamics Modeling, Duality and Control of Robotic SystemsModeling and Control of a Tracked Mobile Robot for Pipeline InspectionAutonomous Robot-Aided Optical Manipulation for Biological CellsRoboticsWheeled Mobile RoboticsModeling, Identification and Control of RobotsModelling and Control of Robot ManipulatorsRobotics and Automation HandbookHandbook of Research on Design, Control, and Modeling of Swarm RoboticsAdvances in Robot Modeling and ControlRobot Modeling and ControlModeling and Control of Robot ManipulatorsRobot Dynamics And ControlRobot Force ControlRobot Modeling and ControlRobot ManipulatorsModern RoboticsTheory of Robot ControlRoboticsFlexible Robot ManipulatorsModeling and Control of Robot ManipulatorsIntroduction to RoboticsWheeled Mobile Robot ControlLearn Robotics ProgrammingIntroduction to Mobile Robot ControlA Journey from Robot to Digital HumanAutonomous RobotsRobot ModellingHumanoid RobotsAdvances in Modelling and Control of Soft Robots
An Ergonomic Evaluation of the Extravehicular Mobility Unit (EMU) Spacesuit Hard Upper Torso (HUT) Size Effect on Mobility, Strength, and Metabolic Performance

Introduction: The objective of this project was to develop a comprehensive methodology to assess the suit fit and performance differences between a nominally sized extravehicular mobility unit (EMU) spacesuit and a nominal +1 (plus) sized EMU. Method: This study considered a multitude of evaluation metrics including 3D clearances and pressure point mapping to quantify potential issues associated with using off-nominal suit sizes. Results: There were minimal differences with using a plus suit size. Discussion: Analysis of the results indicates that future suit size evaluations should consider this ergonomic approach to understand and mitigate potential suit fit and performance issues.
New Topology of Single-Phase Segmented Rotor Field Excitation Flux Switching Machine for High Density Air-Condition

Various topologies of 3 phase and single phase Field Excitation Flux Switching Machines (FSMs) have been develop recently due to the advantages of veriable flux capability of DC Field Excitation coil located on the stator as well as robust single piece rotor structure suitable for high speed applications. However, the fundamantel principles of the develop machine with salient pole rotor, requires overlap winding between armature and FEC, creating the problems of high end coil, huge size of motor as well as high copper losses. Therefore, in this paper, a new topology of single phase segmented rotor FEFSM with 12S-6P configuration is presented with the advantage of non overlap armature and FEC windings, a smaller machine with low copper loss is designed. In this study, the principle of single phase 12S-6P with segmental is an investigated using 2D-FEA finite element analysis to validate the torque, speed and power characteristics. As conclusion, the proposed design is suitable for high density air-conditioner because 1kW power generated at 1.8Nm and the corresponding speed of 4977r/min.
Fuzzy Quality Function Deployment: An Analytical Literature Review

This paper presents an analytical literature review on fuzzy quality function deployment (FQFD) of papers published between 2000 and 2011. In this review, publications were divided into two main groups. First group included publications which proposed some models to develop FQFD. The second one was related to new applications of FQFD models. Next, publications were analyzed and research gaps and future directions were presented. We reached some conclusions including the following. (i) Most of studies were focused on quantitative methods to accomplish phase 1 of QFD or House of Quality (HoQ). The most employed techniques were multicriteria decision making (MCDM) methods. (ii) Although main purpose of using QFD was product development, other factors such as risk and competiveness analysis should be considered in product development process. (iii) A promising approach is using of metaheuristic methods for solving complicated problems of FQFD. (iv) There are a few studies on completing all phases of FQFD.
An Adaptive Cooperative Spectrum Sensing Scheme Based on the k-out-of-N Fusion Rule

In cognitive radio networks, cooperative sensing has been identified as an important technique in MAC-layer sensing. Intuitively, the more secondary users (SUs) are involved in sensing, the more sensing accuracy the SUs can achieve, whereas the more reporting delay the SUs consume, the less throughput the SUs can achieve. Thus, an important issue associated with SUs is how to maximize the SUs throughput under the constraint that the Primary Users (PUs) are sufficiently protected. To solve this issue, we develop a new sensing scheme to decrease the consumption of reporting delay and prove the unimodal characteristics of the SUs average throughput as a function of the fusion parameters based on the k-out-of-N fusion rule. Computer simulations show that, based on the developed sensing scheme and the proposed numerical optimization algorithm, significant improvement in the average throughput of SUs is achieved.
Methods of Projecting 2D Wrinkle Curves onto a 3D Model

Wrinkles make cloth simulation results more realistic. However, generating wrinkles with physically based methods usually requires a computationally expensive simulation, while geometric methods such as deforming the 3D mesh based on predefined curves need time-consuming manual design. In this paper, we extract 2D wrinkle curves from pictures of clothing and project the curves onto a 3D clothing model. Two schemes for projecting 2D curves to the 3D model are presented in the paper, including the brute force method and the acceleration method. The brute force method has excellent projection results and the acceleration method enhances the efficiency of projection process significantly. A quad tree for the 3D model is built up in the acceleration method to improve the efficiency of projection process.
Impact of Low-Income Occupant Behavior on Energy Consumption in Hot-Humid Climates

AbstractWithin the residential sector, the low-income segment accounts for a significant amount of energy consumption. In addition to poor housing conditions in the low-income sector, occupant behavior is one of the most important drivers of energy performance. This paper examines specific cases of behavior in low-income housing in hot-humid climates. Given the scant literature available on this subject, this study uses both quantitative and qualitative approaches to concurrently analyze both (1) subjective perceptions of low-income occupants and (2) real field data. Using principal component analysis, a wide range of behaviors was categorized into nine independent factors. Then, using multiple regression analysis, those factors were ranked in terms of their impact on household energy bills. The results revealed that the top five behavioral factors that have a significant impact on the energy bills of low-income occupants are the following (in order of importance): (1) cooling set point during summer; (2).
The simulation of high-speed, high-density digital interconnects in single chip packages and multichip modules

The development of a comprehensive electromagnetic (EM) modeling tool, the Networking Algorithm, is discussed. This tool is capable of simulating on a digital computer the complexities inherent in real-world interconnects and packages, including simultaneous treatment of the effects of mixed types of transmission line interconnects (i.e. mixtures of stripline, microstrip, and coplanar lines), stubs and branches, reflections, and crosstalk between multiple nets. The type of modeling tool which has been developed is described, the mathematics of the Networking Algorithm is discussed, and a number of examples taken from a high-frequency digital package design are given to show how such a computer-based EM modeling tool set can assist in the design of high-performance packages. >
Uplink performance of multicarrier joint detection code division multiple access

To comply with the requirements on future mobile communications, such as, for example, support of hierarchical cell structures, the application of multicarrier techniques is advantageous. The authors present new performance results of the multicarrier joint detection code division multiple access (MC/JDCDMA) concept, a recent extension of the well known third generation concept JD-CDMA.
An empirical investigation of learning curve composition laws for quality improvement in complex manufacturing plants

Learning behaviors related to quality improvement in manufacturing systems (i.e. reduction of defectiveness over production cycles) are widely investigated. Many different approaches have been introduced to describe the link between the learning mechanism and quality performance of a plant. In a previous study by the same authors, a set of learning “composition laws” for two basic structures were defined to provide a tool to forecast the behavior of complex manufacturing systems composed by a network of elementary processes. This paper presents an empirical investigation about these learning composition laws on a real case in the field of automotive exhaust‐systems manufacturing.
Edge Cracking in Residential Development Hot Mix Asphalt Pavements

Longitudinal edge cracking has caused asphalt pavement failure in Colorado for many years. The purpose of this research was to determine the probable cause or causes of edge cracking in asphalt pavements in residential subdivisions. Eight locations at three sites in Colorado were sampled. A fourth site was identified, and soil samples were collected before construction in an attempt to obtain precracking soils data. The three primary findings of the study were 1). The edge cracking observed at all eight locations in this study began at the top of the pavement. This means that upward movement from below and/or bending is causing excessive tensile strain at the surface of the pavement. 2) Lower density and higher moisture than optimum of the subgrade beneath the edge cracks appears to be related to the cracking. 3) The soils at all locations were plastic clays with potential for high volume change. It seems likely that swelling of these soils contributed to the edge cracking; however, no strong correlation was found.