船员参与成人教育的学习动机调查与分析

文章通过问卷调查,对船员参与成人教育的学习动机进行分析,认为应从企业、船员个人和学校层面采取相应的措施以激发、维持和强化船员的学习动机。     

基于Blackboard平台协助学习活动设计策略研究

网络协助学习活动设计不仅仅关注表现和内容,更注重学习者的学习体验。本研究采用调查法、案例分析法相结合等研究方法,提出了网络协助学习活动设计4项策略,并通过Blackboard平台展开实证研究。研究结果表明：学生的在线学习动力与教师的指导方式呈正相关;以合作引导型为主、个别授导型为辅的方式,才能取得较好的协助学习效果。     

应收票据账务处理例解

本文以企业收到的商业汇票为例,结合实际案例,对企业收到带息票据和不带息票据、票据利息计算、票据贴现以及票据到期的账务处理进行阐述和解析。     

“微电子学概论”课程的教学改革探析

文章基于提问式学习、师生角色互换、产学结合等教学理念,针对当前微电子学概论这门课程教学中存在的问题,提出了一些建议,以期调动学生的学习兴趣、提升学生的实践能力,促进教学质量的提高。     

应收票据账务处理例解

本文以企业收到的商业汇票为例,结合实际案例,对企业收到带息票据和不带息票据、票据利息计算、票据贴现以及票据到期的账务处理进行阐述和解析。     

Learning aircraft operational factors to improve aircraft climb prediction: A large scale multi-airport study

Ground-based aircraft trajectory prediction is a major concern in air traffic control and management. A safe and efficient prediction is a prerequisite to the implementation of new automated tools.In current operations, trajectory prediction is computed using a physical model. It models the forces acting on the aircraft to predict the successive points of the future trajectory. Using such a model requires knowledge of the aircraft state (mass) and aircraft intent (thrust law, speed intent). Most of this information is not available to ground-based systems.This paper focuses on the climb phase. We improve the trajectory prediction accuracy by predicting some of the unknown point-mass model parameters. These unknown parameters are the mass and the speed intent. This study relies on ADS-B data coming from The OpenSky Network. It contains the climbing segments of the year 2017 detected by this sensor network. The 11 most frequent aircraft types are studied. The obtained data set contains millions of climbing segments from all over the world. The climbing segments are not filtered according to their altitude. Predictive models returning the missing parameters are learned from this data set, using a Machine Learning method. The trained models are tested on the two last months of the year and compared with a baseline method (BADA used with the mean parameters computed on the first ten months). Compared with this baseline, the Machine Learning approach reduce the RMSE on the altitude by 48% on average on a 10 min horizon prediction. The RMSE on the speed is reduced by 25% on average. The trajectory prediction is also improved for small climbing segments. Using only information available before the considered aircraft take-off, the Machine Learning method can predict the unknown parameters, reducing the RMSE on the altitude by 25% on average.The data set and the Machine Learning code are publicly available.     

信息栅格环境下美军数据策略研究综述

《网络中心的数据策略》为美军基于全球信息栅格（GIG）的信息系统数据管理提供了顶层指南,其核心思想就是要确保信息栅格环境下的数据的可视、可获取和可用。论文首先描述了美军《网络中心的数据策略》的基本概念,接着重点阐述了美军在信息栅格环境下实现数据策略的三大关键因素,即＂关联群体＂、＂元数据＂和＂GIG企业服务＂,最后分析了美军实现GIG数据共享的处理方式——信息共享空间。     

Empirical Estimation of Term Structure of Interbank Rates in China

Nelson-Siegel model （ NS model） and 2 extended NS models were compared by using daily interbank government bond data Based on the grouping of bonds according to the residual term to maturity, the empirical research proceeded with in-sample and outof-sample tests. The results show that the 3 models are almost equivalent in estimating interbank term structure of interest rates. Within the term to maturities between 0 and 7 years, the gap of the absolute errors of the 3 models between in-sample and out-of-sample is smRller than 0.2 Yuan, and the absolute values of the in-sample and out-of-sample errors are smaller than 0. 1 Yuan, so the estimation is credible. Within the term to maturities between 7 and 20 years, the gap of the absolute errors of the 3 models between in-sample and out-of-sample is larger than 0.4 Yuan, and the absolute values of the in-sample and out-of-sample errors are larger than 1.0 Yuan, so the estimation is incredible.     

我国集装箱班轮运输市场垄断程度研究

从市场集中度指数、市场力量和垄断行为3个方面考察我国国际集装箱班轮运输市场的垄断程度，显然高于将全球作为“一个”市场的程度。从市场集中度指数可以认为我国班轮运输市场已经达到中型寡头垄断程度。我国远洋班轮航线的勒纳指数高于0．6，甚至接近于1，说明班轮公司市场力量之强大。而我国现行的法律法规中没有为班轮运输市场的买方预设运价谈判和利益诉求机制，则使运输需求快速增长的中国外贸企业明显处于弱势地位。     

Blog在现代教学中的应用研究

随着“校校通”工程的深入实施网络应用于教学的功能得到了更深更广的认识和开发。博客(Blog)在网络时代的飞速发展,冲击着传统教育。本文分析了博客对传统教学的影响和在现代教学中的应用。