Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis On-Board Charger to the Influence of Power Quality

In this paper, one on-board charger in the charging station will be used to test its charging process. We screen the data which has the typical characteristics of power parameters from test data, and compared with the national power quality standards. We can get the following conclusions: (1) The electric car battery is capacitive load, it may transfer the reactive power to grid in the process of charging;(2) The test data imply that frequency deviation, power factor and VTHD e.g. indexes are qualified;(3) On-board charger is mainly produced the odd harmonics in the process of charging, with the increase of harmonic frequency, harmonic contain lower rate;(4) In practice, harmonic mainly reflects on the current, voltage only has a small distortion.
Export Performance of SMEs in Emerging Markets: The Role of Market Orientation, Learning and Trust

Research Aims: This study investigates the mediating role of trust in explaining the effect of learning orientation and market orientation on the export performance of small and medium enterprise (SME) exporters in emerging markets. Design/methodology/approach: Survey data from 193 Malaysian SME exporters were used to test a series of hypothesised relationships. The sample was derived from the directory of the Federation of Malaysian Manufacturers, which consists of Malaysian wholly owned cross-industry manufacturing SMEs with 10-200 full-time employees. The instrument was developed using existing scales, and the research model was estimated using partial least square structural equation modelling. Research Findings: The findings reveal that trust is directly related to export performance. Learning creates dynamism in firms' processes and enables the utilisation of information in a way that allows firms to respond to the variability of customers' needs. Theoretical Contribution/Originality: This study contributes to theoretical development by highlighting the role of learning in the relationship between market orientation and trust between SME exporters and foreign importers. Managerial Implications in the Southeast Asian Context: Managers of small businesses in Southeast Asia should not be disconcerted by the smallness and limited resources of their firms. In an environment characterised by rapid market changes, SMEs must rely on dynamic capabilities to develop their competencies and leverage foreign partner resources. Research Limitations & Implications: First, the responses were mainly obtained from exporters. This is in contrast to a dyadic relationship, which concerns interactions between partners: exporters and importers. Second, this study is limited by its context, which is the manufacturing sector.
Axial mode helix antenna with exponential spacing

A novel wideband CP helix antenna with exponential spacing is presented in this paper. Since traveling wave current over a wide range of frequencies has been excited, it possesses better performance. Both numerical results and experimental results show that the axial ratio bandwidth of the exponential spacing helix (ESH) antenna is 58.6% greater than that of the linear spacing helix (LSH) antenna in the same conditions. The characteristics of impedance, power gains, and radiation patterns for the ESH antenna are also investigated and compared with LSH antenna. © 2007 Wiley Periodicals, Inc. Microwave Opt Technol Lett 49: 1525–1530, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.22485
Pilot error versus sociotechnical systems failure: a distributed situation awareness analysis of Air France 447

ABSTRACT The Air France 447 crash occurred in 2009 when an Airbus A330 stalled and fell into the Atlantic Ocean, killing all on board. Following a major investigation, it was concluded that the incident resulted from a series of events that began when the autopilot disconnected after the aircraft's Pitot tubes froze in an adverse weather system. The findings place scrutiny on the aircrew's subsequent lack of awareness of what was going on and of what procedure was required, and their failure to control the aircraft. This article argues that this is inappropriate, instead offering a systems level view that can be used to demonstrate how systems, not individuals, lose situation awareness. This is demonstrated via a distributed situation awareness-based description of the events preceding the crash. The findings demonstrate that it was the sociotechnical system comprising aircrew, cockpit and aeroplane systems that lost situation awareness, rather than the aircrew alone.
Exact evaluation of laser linewidth requirements for optical PSK homodyne communication systems with balanced PLL receivers

The power penalty induced by imperfect phase recovery in PSK homodyne communication systems with balanced phase-locked loop receivers are exactly evaluated. Optimum phase deviations between the mark-state and the space-state bits are used in this study. This study for the first time shows the imperfect-phase-recovery-induced power penalty as a function of laser linewidth with optimum phase deviations considered. It can be estimated from the theoretical result that an optimal balanced PLL receiver requires the laser linewidth as /spl Delta//spl nu//spl les/1.15/spl times/10/sup -6//spl times/ (bit rate) in contrast to the previous reported one /spl Delta//spl nu//spl les/5.88/spl times/10/sup -6//spl times/ (bit rate). We also point out here that the previously reported laser linewidth requirement was wrongly estimated.
Latest Advances of Model Predictive Control in Electrical Drives—Part II: Applications and Benchmarking With Classical Control Methods

This article presents the application of model predictive control (MPC) in high-performance drives. A wide variety of machines have been considered: Induction machines, synchronous machines, linear motors, switched reluctance motors, and multiphase machines. The control of these machines has been done by introducing minor and easy-to-understand modifications to the basic predictive control concept, showing the high flexibility and simplicity of the strategy. The second part of the article is dedicated to the performance comparison of MPC with classical control techniques such as field-oriented control and direct torque control. The comparison considers the dynamic behavior of the drive and steady-state performance metrics, such as inverter losses, current distortion in the motor, and acoustic noise. The main conclusion is that MPC is very competitive concerning classic control methods by reducing the inverter losses and the current distortion with comparable acoustic noise.
TEC Map Completion Through a Deep Learning Model: SNP‐GAN

The limited availability of ground receiver stations causes an approximate 52% of data gaps in Massachusetts Institute of Technology (MIT)‐ total electron content (TEC) global maps. The completed TEC maps are highly desirable for both scientific research and space weather applications. Compared to the conventional image inpainting methods, the deep learning methods using generative adversarial networks (GANs) offer an effective image inpainting tool. We adapt the Spectrally Normalized Patch GAN (SNP‐GAN) for the TEC map completion using a traditional complete TEC data source, the International Global Navigation Satellite System TEC (IGS‐TEC) maps, as the training data. For 10‐fold cross‐validation of 20‐year IGS‐TEC data, SNP‐GAN reduces the root mean squared error (RMSE) by more than 30% compared to our previous model, the deep convolutional GAN with Poisson blending (DCGAN‐PB). Two case studies using MIT‐TEC data for 2013 and 2016 storms also demonstrate that SNP‐GAN outperforms DCGAN‐PB in terms of recovering equatorial and low latitude TEC structures. Meanwhile, the end‐to‐end styled generator of SNP‐GAN saves time in the map completion step by avoiding iterative mapping used in DCGAN‐PB. Both deep learning methods not only preserve the large‐scale TEC structures well, but also reveal mesoscale (100–1,000 km) TEC structures that are missing in IGS‐TEC. This work represents an important progress for efficient and automatic TEC map completion with high accuracy.
The genetics of congenital heart disease: The role of advanced genomic approaches

As the leading non-infectious cause of paediatric morbidity and mortality worldwide, congenital heart disease (CHD) is a significant social and healthcare burden, especially in low- and lower-middle-income countries, including South Africa. The aetiology of CHD is poorly understood, though heritable genetic factors have been shown to contribute to the risk of CHD in individuals of European ancestry. In this review, we highlight the impact that advanced genomic approaches have had on the understanding of the role of genetics in CHD. We also summarise current knowledge of the genetics of CHD in Africa, and the challenges and opportunities for conducting genomic research in these populations. Chromosomal microarrays and next-generation sequencing platforms allow for high-throughput screening of patients for genetic mutations and show great potential for the identification of genetic causes of CHD. Advancing our understanding of the genetic architecture and risk factors associated with CHD in patients of African descent is the fi rst step towards improving CHD diagnosis and management. Therefore, exploring the genetics of CHD has the potential to improve the quality of life for children born with CHD in Africa, by enabling clinicians to identify familial inheritance patterns and predict recurrent risks and prognostic outcomes pre- and post-surgical intervention.
Evolution of Controllers under a Generalized Structure Encoding/Decoding Scheme with Application to Magnetic Levitation System

Evolutionary search has been widely implemented for the adjustment of controllers' parameters. Nevertheless, the structure of controllers, which has a more important role in control systems, has been seldom studied. To this end, an evolutionary design method of controllers is proposed to optimize both structures and parameters simultaneously in this paper. A controller is made up of a combination of some basic controller components and relevant parameters. The design of controllers can be transformed into an optimization problem involving the structure (represented by discrete vectors) and parameters (represented by real numbers). A generalized structure encoding/decoding scheme is developed. Guided by the performance indices, intelligent algorithms for both combinatorial and numerical optimization are employed to iteratively and cooperatively evolve the controller structure and parameters, respectively. In order to effectively reduce some redundant or infeasible solutions, a set of generation rules for the controller structure are put forward, which also ensures the feasibility of the structure. Furthermore, this method is applied to a magnetic levitation ball system with nonlinear dynamics and external disturbance. Both simulation and experiment results demonstrate the effectiveness and practicability of the proposed method.
Thermal Performance Analysis of a Fully Mixed Solar Storage Tank in a ZEB Hot Water System

The intermittency is inherently affects the solar energy as the main hot water supplier in renewable systems. Therefore, the storage of the hot water is a vital part of a reliable energy supply system for buildings. Using a proper storage system makes it possible to fill the shortfall or emergency periods. This paper studies the daily thermal performance of a horizontal solar storage tank. It is assumed that the hot water load is similar to the Rand profile and the auxiliary heater is a biomass-fired boiler. The Rand profile assumes a daily hot water of consumption of 120 liters for a family of four. Furthermore, the tank is considered to be fully mixed because its height is relatively low. It means that the temperature in the solar zone of the tank is uniform. This assumption simplifies the analysis because the storage and the load temperature would be the same. The profiles for the storage water temperature, solar fraction and the useful energy gain was obtained and the effects of principal parameters are studied.
Design considerations for the switched reluctance motor

Analytical design equations are developed to predict the performance and to guide the design of the switched reluctance motor (SRM). The use of these analytical equations to trade-off different SRM attributes is discussed. The various approximations and simplifications used in the development of the analytical design equations are justified using results obtained from a detailed computer model of the SRM and by using experimental results from a high power density SRM designed for an aircraft engine fuel pumping application. Comparisons of predicted and measured machine performance parameters for this 90 kW 25000 RPM machine, such as flux linkage curves, back EMF, electromechanical power converted, and inverter volt-ampere requirements are presented. It is also shown that there exists a fundamental maximum torque density that is attainable with the SRM and an estimate of this maximum torque density limit is given. The power factor for a SRM is defined and the machine parameters that determine its value are presented. This power factor is compared to the similarly defined power factor for an AC machine and found to be smaller. <<ETX>>
Box Model Intercomparison of Cloud Chemistry

Chemical processes in clouds and fogs can substantially alter atmospheric oxidant budgets and lead to aerosol mass formation. However, many regional and global models do not include detailed aqueous‐phase chemical mechanisms due to the (a) lack of complete understanding of the chemical processes and (b) computational burden of adding constituents. Current gas‐aqueous chemistry 0‐dimensional models were evaluated in a cloud‐chemistry box model intercomparison based on a mid‐September 2016 cloud chemistry event at Whiteface Mountain, New York. Multiphase mechanisms in the five participating models ranged from those appropriate for 3‐d models to highly complex with thousands of reactions. This study focused on oxidant levels in both phases and aqueous‐phase sulfate and organic acid formation. Comparison of gas‐phase‐only chemistry gives very similar oxidant predictions at night but shows significant differences during daytime with the hydroxyl radical (OH) variability of about an order of magnitude. The variability in the model results increases substantially with aqueous chemistry due to different Henry's Law constants, aqueous‐phase reaction rate constants, and chemical mechanisms. Using a prescribed liquid water content and pH value of 4.5, modeled aqueous OH, aldehyde, and organic acid concentrations differ by over an order of magnitude in daytime. Simulations were also conducted at a pH = 5.1, predicted variable pH, and with added transition metal ion chemistry. While we compare predicted and measured inorganic anions and water‐soluble organic carbon, we cannot do so for aqueous‐phase oxidant concentrations due to the lack of measurements. We highlight a need for recommended equilibrium and aqueous‐phase rate constants.
Dynamic Distributed Information Security System Based on Multi-Agent

With the growing population of using public network, network intrusion events happened more frequently. Aim to the drawbacks of traditional information security methods, the multi-agent system model was proved to be very promising. This paper proposes a dynamic distributed information security system based on multi-agent that dynamically integrates all distributed information security facilities to achieve efficiently collaborative information security. In order to validate this proposed approach, the authors give the material experiment test in the end of this paper. The final experiment result suggests that, this proposed approach is feasible, correct and valid.
Application of Role-based Access Control Model in High-level Athletes Management System

Aimed at that there are large numbers of users visiting high-level athletes' management system, the control model of traditional access can't fully meet the weaknesses of these requirements, proposing the idea of multi-rights management based on ARBAC02 model and establishing a new rights management system. Practice result shows that this strategy can substantially enhance the flexibility and security of access control and provide some reference for digital physical education.
Pengembangan Non-Player Character (NPC) Menggunakan Unity ML-Agents Pada Karting Microgame

Perkembangan teknologi di bidang gim sekarang sudah sangat pesat terutama pada gim balapan. Gim balapan memiliki tujuan untuk memberikan pemain sebuah pengalaman yang menantang dan menyenangkan dalam sebuah balapan melawan mobil yang dikendalikan oleh gim tersebut atau biasa disebut dengan Non-Player Character (NPC). Pengembangan gim balapan tentunya tidak dapat lepas dari pengembangan NPC sebagai lawan main dari pemain. Pada umumnya NPC dikembangkan menggunakan metode waypoint untuk navigasi dalam melintasi trek balapan. Kekurangan dalam metode waypoint adalah harus diatur secara manual untuk setiap trek dan memakan waktu yang lama untuk mengatur waypoint pada setiap trek. Begitu juga untuk membuat NPC balap yang kompetitif dibutuhkan desain rule base yang kompleks. Peneliti mengusulkan menggunakan metode machine learning untuk mengatasi permasalahan tersebut. Unity3D menyediakan sebuah open-source API bernama Unity ML-Agents yang dapat digunakan untuk melatih NPC. NPC dilatih menggunakan metode reinforcement learning dengan Unity ML-Agents yang bertujuan untuk melatih NPC dengan cara memberikan reward agar mencapai hasil yang optimal. Hasil yang didapatkan dengan memanfaatkan Unity ML-Agents adalah NPC yang dapat melintasi berbagai macam trek dan dapat menghindari tabrakan. NPC yang telah dikembangkan dengan Unity ML-Agents juga mendapatkan waktu total yang lebih sedikit dibandingkan dengan waktu total yang diperlukan pemain untuk menempuh 3 lap putaran pada suatu trek yaitu 55,9 detik dibandingkan dengan 59,4 detik.
Design and Fabrication of Ka-Band Microstrip to Waveguide Transitions Using E-Plane Probes

In this paper, two kinds of E-plane microstrip-to-waveguide transitions are optimally designed and fabricated for combining output power from multiple small-power amplifiers in a WR-28 waveguide because conventional K connectors cause unnecessary insertion loss and adaptor loss. The transition design is based on target specifications such as a center frequency of 35 GHz, bandwidth of , 0.1 dB insertion loss and 20 dB return loss. Performance variation caused by mechanical tolerance and assembly deviation is fully evaluated by three dimensional electromagnetic simulation. The fabricated back-to-back transitions with 16 mm and 26.57 mm interstage microstrip lines show insertion loss per transition of ~0.1 dB at 35 GHz and average 0.2 dB over full Ka band. Also the back-to-back transition shows return loss greater than 15 dB, which implies that the transition itself has return loss better than 20 dB.
Effects of Wearing Trousers or Shorts under Firefighting Protective Clothing on Physiological and Subjective Responses

This study examined the influence of wearing trousers or shorts under firefighting protective clothing with phase change materials (PCMs) on physiological/subjective responses and the mobility of firefighters.Experiment 1: Eight Fukuoka City firefighters (28±3.6 yrs) participated in the research and rested in a pre-test room for 10 min before entering the test-room where they rested for another 10 min, followed by a 30 min-exercise period (on a treadmill, 4.8 km·h−1 at a 3% gradient) and a 10 min-recovery period. Rectal temperature, mean skin temperature, heart rate, body weight loss and subjective responses were measured.Experiment 2: Eight Fukuoka City firefighters (27.9±3.5 yrs) participated in a freedom of movement test, an exercise test and answered a set of questionnaires. The exercise test involved obstacle courses with 70 cm and 90 cm obstacles.The results suggest that performance was improved while wearing shorts under protective clothing with PCMs, although no significant difference in reducing thermal stress while wearing shorts instead of trousers was revealed.
The ‘nature’ of legacy under localism: fragmentation along the Greenway

‘Where the pastoral meets the post-industrial’. London Legacy Development Corporation (LLDC) Chief of Design, Kathryn Firth's words to describe the area that the Corporation inherited as part of its remit following the Summer Olympic Games in 2012. Seeming to exemplify this, the former industrial warehouses of Hackney Wick, such as the Counter Café [2], allow shrubbery growth and sprawling ivy; their brick exerior walls emblazoned with art work reminiscent of William Morris. What we have here is recognition of the area's pre-industrial, industrial and post-industrial episodes; a narrative that serves to provide some temporal coherence to what is a complex and fragmented landscape.
Assessing the Changes in Iranian Household Food Basket Using National Household Budget and Expenditure Survey Data, 1991–2017

Background: The aim of the present study was assessing the changes in Iranian household food basket. The Households Income and Expenditure Survey (HIES) data of 717,432 of Iranian households from 1991 to 2017 were used in this repeated cross-sectional study. Methods: A cross-classified random-effects modeling (CCREM) specifications of hierarchical age-period-cohort (HAPC) in two models, one without controlling for the effects of key individual characteristics, namely socioeconomic status; household size; place; and household head sex, and another one with controlling for the effect of mentioned variables, was used in the present study. Results: The present study showed that the equivalent to an adult male daily consumption of “total calorie” (P value = 0.0001) and “fats, oils, sugars, and sweets” (P value = 0.0002) had an increasing trend from 1991 to 2004 and a decreasing trend from 2005 to 2017 among Iranian households. The daily consumption of “bread, cereal, rice, and pasta” (P value = 0.0001) had a decreasing and “fruits” (P value = 0.0002) had a rising trend during periods. After an increasing trend for the “meat, poultry, fish, eggs, legumes, and nuts” (P value = 0.0002) and “vegetable” (P value=<0.0001) by 2004, there was a decreasing trend from 2004 to 2017, but the share of them in the total calorie consumption increased. The “dairy” (P value = 0.0002) consumption had a decreasing trend in recent years. Conclusions: Iranian household food basket, during these years, had significant changes that some of them (increase in the share of the vegetables and fruits in the total calorie intake) are positive and some of them are negative (decrease in the consumption of dairy).
Mentoring in the Lifelong Learning Sector: a critical heuristic account

This paper explores a heuristic (‘allowing people to learn for themselves’ [Allen, 2004: p. 654]) mentoring case involving an Advanced Practitioner (AP) tasked with the role of mentoring a trainee PGCE teacher who had received a grade 4 (unsatisfactory) decision of his teaching by the college quality assurance system. The paper outlines the relevant theories and frameworks of mentoring which were considered at the time, those which seemed to emerge quite naturally, albeit in skeletal form, and the way in which reflective practice was found to be the key to unlocking the mentor/mentee relationship in profound and critical ways.