Revisiting the Parallel Strategy for DOACROSS Loops

Journal of Computer Science and Technology - DOACROSS loops are significant parts in many important scientific and engineering applications, which are generally exploited pipeline/wave-front...     

A Method of Applying Flight Data to Evaluate Landing Operation Performance

Abstract

Pilots’ operation has an important effect on flight safety and performance, particularly in the final landing stage when pilots need to deal with complicated operations. This study aims to determine the potential value of flight data and develop a method of evaluating a pilot’s performance during landing phase based on flight quick access recorder (QAR) data from the perspective of risk assessment. First, a Landing Operation Performance Evaluation Model was developed based on risk evaluation principles. Three landing parameters, which are touchdown distance, touchdown vertical acceleration and touchdown pitch angle, were selected as indicators to evaluate the pilots’ landing operation performance in this model. Second, the flight landing operation performance evaluation system (FLOPES) was set up based on the evaluation model. Test results showed that FLOPES can accomplish all calculation flow of operation performance evaluation. Finally, it concluded that this method is a more accurate and effective way for evaluating the landing operation performance of a flight. It could be as a practical tool for airlines to manage landing risk quantitatively and to provide a more practical support for improving training and design in aviation.Practitioner summary: This study aims to determine the potential value of flight data and to develop a method of evaluating pilot’s landing operation performance from the risk evaluation perspective. Test results showed that this method is effective and could be as a practical tool for airlines to manage landing risk and improve training.Abbreviations:QAR: Quick Access Recorder; FLOPES: Flight Landing Operation Performance Evaluation System; ICAO: International Civil Aviation Organization; IATA: International Air Transport Association; SMS: Safety Management System; CAAC: Civil Aviation Administration of China; FOQA: Flight Operations Quality Assurance; VBA: Visual Basic for Applications     

Evolutions of the Micro- and Macrostructure and Tensile Property of Cu-15Ni-8Sn Alloy During Electromagnetic Stirring-Assisted Horizontal Continuous Casting

Metallurgical and Materials Transactions B - The present study investigates the evolution of the micro- and macrostructure and tensile property of the Cu-15Ni-8Sn (weight percent) alloy prepared by...     

Analysis techniques for supporting hard real-time sporadic gang task systems

Real-Time Systems - This paper first studies the problem of scheduling hard real-time sporadic gang task systems under global earliest-deadline-first on a multiprocessor platform, where a gang...     

镁对非调质钢中组织及硫化物的影响

摘要：为了探究不同镁含量对非调质钢中组织和硫化物形态、尺寸、分布及成分的影响，采用蔡司金相显微镜、扫描电子显微镜、小样电解等方法，分析了经高温电阻炉冶炼不同镁添加量的49MnVS3非调质钢。结果表明，由于镁蒸气压较高，在实验室冶炼中大量挥发，导致钢中镁的实际平均收得率仅为310%；镁的质量分数为0～22×10-6时，随着镁的质量分数的增加，钢中硫化物形态由Ⅱ类逐渐向Ⅰ类、Ⅲ类转变；钢中硫化物尺寸增大，硫化物的分布均匀性得到显著改善；钢中复合夹杂物比例明显增加，但MnS的比例出现下降；形成了细小弥散的氧化物，增加了奥氏体形核质点，具有细化组织的趋势。     

Traffic identification method based on multiple probabilistic neural network model

Neural Computing and Applications - Traffic identification is currently an important challenge for network management and security. In this paper, we propose a novel application identification...     

Selective clustering for representative paintings selection

Multimedia Tools and Applications - Selective classification (or rejection based classification) has been proved useful in many applications. In this paper we describe a selective clustering...     

Quantitative measurements of nanoparticle layer thicknesses near the contact line region after droplet drying-out

Journal of Mechanical Science and Technology - Confocal fringe patterns of evaporating sessile drops have provided initial evidence of the presence of a sub-micron thin liquid film emanating from...     

基于PSO-ELM模型的潜油柱塞泵冲次优化方法

为改进油井后期泵效低下、能耗高等缺陷，提出了一种基于PSO-ELM模型的潜油柱塞泵冲次优化方法.采用粒子群（PSO）算法与极限学习机（ELM）相结合的方式来实现动液面软测量建模；根据动液面及潜油柱塞泵工作电流变化，以油井运行经济性最优为目的建立目标函数得到潜油柱塞泵冲次，解决了在油井生产时不能准确调节抽油机冲次问题；最后以目标函数关系建立模糊控制器模型，根据输入参数调整潜油柱塞泵冲次.实验结果表明，建立的软测量模型预测动液面精度高，模糊控制器能够更加合理地调整抽油机冲次，最终达到智能调整冲次大小、提高油井采油率及节能的目的.