基于MBP算法和深度学习的人脸识别

为了解决在深度学习提取人脸图像特征时,易忽略其局部结构特征和缺乏对其旋转不变性学习的问题,提出了一种基于单演局部二值模式(MBP)与深度学习相结合的高效率人脸识别方法。首先,用多尺度单演滤波器对图像进行滤波,得到幅值和方向信息;其次,用LBP算法和象限比特的方法进行编码,分块计算组合其直方图特征;然后,将提取的单演特征作为深度信念网络(DBN)的输入,逐层训练优化网络参数,得到优异的网络模型;最后,将训练好的DBN网络在ORL人脸数据库上进行人脸识别实验,进行识别率计算,其识别率为98.75%。所提出的方法使用无监督的贪婪算法,隐藏层设定为2层,使用反向传播算法优化网络。相较于已知的人脸识别方法,MBP+DBN算法对光照、表情和部分遮挡变化具有较好的鲁棒性,在人脸识别中识别率较高,具有一定的优势,为图像特征提供了一种新的识别方法。     

Labor and behavior determinants of remittances in Saudi Arabia

Saudi Arabia is the second largest sender of international remittances. These remittances constitute large foreign capital inflows to labor‐exporting remittee economies. This study is the first to structurally decompose remittance dynamics into behavioral and labor market outcomes of migrants. Remittance outflows are decomposed into migrant labor supply, unemployment and participation rates, wage earnings, and the marginal propensity to remit (MPR) out of migrant earnings. The estimates suggest that migrant labor supply is highly elastic. The important driver of remittance dynamics is the MPR, migrant wages, and the labor supply of migrants. The MPR is found to respond counter‐cyclically to foreign gross domestic product.     

Oil price and Gulf Corporation Council stock indices: New evidence from time-varying copula models

Using a time-varying GJR copula approach, we determine the conditional dependence of the GCC stock indices on oil price between 2007 and 2016. We show how to improve the forecasting accuracy of the co-movement of energy and stock prices in an equally weighted portfolio. Contrary to prior findings, we demonstrate that due to the different co-movements across the GCC stock indices, portfolios of oil assets and several GCC stocks are less likely to be affected by systemic risk. The different co-movements across several stock indices over time provide different entry and exit points for stock investors. This approach is in line with the ‘buy low/sell high’ adage.     

油气产量略有增长 未来发展面临严峻挑战--2019年俄罗斯油气工业综述

2019年,俄罗斯油气工业发展基本平稳,原油产量为5.60亿吨,比上年增长0.8%;原油一次加工量为2.85亿吨,比上年减少0.4%,出口量为2.68亿吨,比上年增加2.8%。天然气产量为7376亿立方米,比上年增加1.7%;天然气出口量为2199亿立方米,比上年减少0.3%;LNG产量和出口量分别达到2950万吨和2900万吨,较2018年分别增长47.4%和76.2%;天然气出口管道建设取得突破,中俄东线天然气管道和土耳其流天然气管道建成投产,实现出口供气。俄政府批准新版的《俄罗斯能源安全论》,明确了能源安全的目的、原则及重点方向与任务;批准车用天然气燃料市场发展规划,加快推动俄国内车用天然气燃料市场发展;通过《俄罗斯2035年能源发展战略》,明确了俄能源战略的5个关键目标。     

质量监督机构对项目建设单位的质量控制——以中国海洋石油工程为例

结合中国海洋石油工程建设特点,阐述了项目建设单位的主要工作,分析了项目建设存在的主要问题,并对解决问题提出了制度运行监管、合规监管、资质监管、质量监管等监管对策。     

钢丝绳淋油装置的改造设计及故障分析

本文主要分析了钢丝绳除油装置设计技术难点、创新点以及电气原理图设计,最后分析总结了常见故障的分析及解决方法。     

油田井下作业事故分析及应对措施探讨

石油行业是我国工业发展的命脉,能够为国家创造更高的经济价值。但是,这个行业也同样伴随着较高的安全风险。石油井下作业过程往往复杂多变,具有极高的危险性。本文首先列举了石油井下作业事故的类型,接着详细分析了安全事故的发生原因,最后针对发现的问题,提出了相应的应对措施,希望可以对油田井下作业安全防治问题有所帮助。     

Preventing wildlife crime with a focus on orangutans: Applying social influence techniques to public education efforts

Orangutans are projected to become critically endangered or extinct this century if humans continue to destroy their habitat. Threats include legal and illegal clearcutting of rain forests to establish palm oil plantations, climate change, and transnational organized crime. This study examines how self-benefit and other benefit appeals, knowledge of threats, concern about habitat loss, and liking orangutans are associated with (a) intent to protect habitat due to licit threats and crimes against wildlife, and (b) seeking information to save habitat. Upon entry to a zoo, 251 (118 men, 128 women, and 5 unknown) persons viewed posters highlighting the benefits of habitat conservation to self or others and completed a survey. Concern, threat knowledge, liking, and self-benefit and other benefit appeals accounted for 28% of the variance associated with intent to take action to protect the habitat. Integrating social influence principles into zoo displays and addressing barriers that prevent conservation behavior are discussed. The ideas in this paper are relevant to many primates and endangered species.     

桑叶配方颗粒物质基准研究

桑叶配方颗粒迄今尚没有统一的质量标准。为提升桑叶配方颗粒的内在质量,对其物质基准评价方法进行了研究。选取具有代表性产地的15批桑叶制备物质基准,采用高效液相色谱法,以芦丁、异槲皮苷、紫云英苷作为评价指标,确定桑叶物质基准的出膏率范围、标志性成分含量及转移率范围,采用超高效液相色谱法,建立物质基准UPLC特征图谱,并对其主要成分进行指认。结果表明:15批物质基准中,芦丁转移率为19.94%～34.05%,异槲皮苷转移率为11.67%～43.58%,紫云英苷转移率为10.73%～43.05%;物质基准特征图谱中,标定了14个共有峰,指认出7个色谱峰,分别为新绿原酸、绿原酸、咖啡酸、芦丁、异槲皮苷、槲皮素-3-O-(6″-O-丙二酰基)-β-D-葡萄糖苷、紫云英苷。所建立的基准评价方法为桑叶配方颗粒质量标准的制定及其后续大规模生产提供了数据基础。     

Crude oil price forecasting based on internet concern using an extreme learning machine

The growing internet concern (IC) over the crude oil market and related events influences market trading, thus creating further instability within the oil market itself. We propose a modeling framework for analyzing the effects of IC on the oil market and for predicting the price volatility of crude oil’s futures market. This novel approach decomposes the original time series into intrinsic modes at different time scales using bivariate empirical mode decomposition (BEMD). The relationship between the oil price volatility and IC at an individual frequency is investigated. By utilizing decomposed intrinsic modes as specified characteristics, we also construct extreme learning machine (ELM) models with variant forecasting schemes. The experimental results illustrate that ELM models that incorporate intrinsic modes and IC outperform the baseline ELM and other benchmarks at distinct horizons. Having the power to improve the accuracy of baseline models, internet searching is a practical way of quantifying investor attention, which can help to predict short-run price fluctuations in the oil market.