基于孪生并行注意力网络的包装印刷品商标真伪鉴别研究

为了借助手机精确快速地鉴别微小篡改的包装印刷品商标真伪,提出孪生并行注意力卷积神经网络判别模型。通过孪生网络的共享权重机制降低网络系统的表征偏差,通过并行注意力机制提高对微小篡改变化特征的提取能力,最大程度降低打印拍照引入的噪声对篡改特征提取的影响。在2种印刷纸张、2种拍摄光源和2种拍摄手机组合的8种开放场景中,拍摄多组真伪商标的印刷图像,建立篡改面积0.4%～0.7%的商标真伪数据集。模型在该打印拍照数据集上鉴别准确率为94%以上,在真实山寨商标上的鉴别准确率为100%。本文提出的孪生并行注意力卷积神经网络模型,具有较高的细粒度鉴别精度和较强的泛化能力,能够在开放场景下有效地实现基于图像微小篡改的包装印刷品商标真伪的鉴别。     

如何鉴别银币真伪

银币以它的贮藏手段和保值功能,很长一段时间活跃在我国各地收藏品市场上。 银币本身就是贵金属,而且现在钱币市场上还没有开始对银币的炒作,其价格相对较低且稳定;同时,银币本身不容易损坏且辨伪较为容     

中药真伪的鉴别技术分析

随着中药价格的上升伪劣中药材呈上升趋势,药材的伪品掺伪掺杂手段也日益现代化,屡见不鲜,而饮片掺伪常常由于药材原有形态特征被破坏不容易发现,具有一定的隐蔽性,需要一定的实际工作经验才能鉴别发现。     

如何鉴别打折邮票真伪

即想买到便宜的邮票,又想买到正版的邮票,能够辨别打折邮票的真伪对集邮爱好者们来说相当重要.下面我们就来教您几招业内人士通过实践后总结出来的"真理",灵不灵您试试!     

如何鉴别古董家具真伪

1.看包浆是否自然。一般在使用者的手经常抚摸的位置,会出现自然形成的包浆。新仿的包浆要么不自然,要么在不常抚摸的地方也做出来了。     

刍议发票的真伪鉴别

发票是维护社会秩序的重要工具。为了有效预防、打击各类发票违法犯罪行为,文章介绍了发票的主要防伪特征,提出了发票真伪鉴别的几种方法,期望对经济法律监督人员提升鉴别发票真伪的业务技能有所帮助。     

如何鉴别珍珠饰品的真伪

南宁朱女士：我一直对珍珠首饰很喜欢,但是目前市场上珍珠饰品参差不齐,无法鉴别。请问如何在购买时鉴别真伪呢？小编解答：因为仿制珍珠的仿真性特别强,往往会造成真假难分的局面,所以需要仔细辩别。1、手摸法珍珠手摸爽手、凉快,仿珍珠手摸有滑腻感、温感。2、牙咬法珍珠牙咬无光滑感,常有肌里凹凸感、磨沙感。     

如何鉴别保健食品的真伪

一、什么是保健食品随着社会进步和经济发展,人类对自身的健康日益关注。从20世纪80年代起步,中国保健品行业在短短二十多年时间里,已经迅速发展成为一个颇具规模的产业。保健品产业的蓬勃发展,主要原因是人民生活水平明显提高;其次,人民生活方式的改变,是保健品产业发展的重要契机;     

茅台镇的酒不等于茅台酒

在我国市场经济环境还很不完善的今天,几乎任何一种名牌产品,都成了假冒伪劣产品侵扰的对象,国酒茅台亦不例外。 最近几年,市场上常常有一些白酒产品,实际为贵州茅台酒股份公司周边的一些小酒厂生产的,甚至生产地根本就不在茅台镇而从外地购进低档散白酒后包装出售,却利用“茅台”极高的市场信誉度和品牌价值,擅自以“茅台镇传世佳酿”、“茅台散酒”、“茅台××酒”等     

一脉相承的茅台酒品位

"莫道此生不识酒,杯中得来味更长"--朋友聚会席间,总是这样赞叹, "如果不看包装,单凭品酒,还以为这就是53度茅台!"     

如何识别水货数码相机

一般来说,水货的价格要比行货低一些,但我们绝不能只从价格高低就断定哪个型号的DC是不是水货。由于水货数码相机大都不是在国内生产的,往往没有中文说明书,说明书都是日文或者英文的（日本讲究环保,包装盒都是再生纸和简单印刷的）,香港行货（我们称之为水货）的说明书是繁体中文的。一般都是日文和繁体中文包装,驱动程序、软件等上面也没有中文。     

如何识别有毒的食品包装

日常生活中,我们每个家放庭中使用塑料袋包装食品是司空见惯的事.在商店,超市琳琅满目的货架上,摆放的使用塑料器皿装的食品比比皆是.大家都知道用来包装和盛放食品,殊不知这对人体健康是十分有害的.例如聚氯乙烯塑料是有毒的.聚氯乙烯树脂虽然无毒,但在制造塑料过程中,加入了增塑剂邻苯二甲酸二丁酯和邻苯二甲酸二辛酸都具有毒性,填加的稳定剂主要是硬脂酸铅,也有毒性,这种铅盐极易析出,一旦进入人体就会造成积蓄性中毒,所以包装食品时,必须使用专门的食品包装袋,绝不可乱用,在使用中应注意如下几点:     

如何识别认证工作中的风险

当前社会无论是日常生活还是各行各业,人们都已经认识到风险的影响和危害,并开始积极采取措施进行控制和管理,使之成为一项新兴的能够带来可观效益的管理科学。一、风险的作用原理可以这样讲,只要人们在从事有目的的活动,就一定会有风险伴随,因为所有的活动都是处于自然、经济、社会、政治等复杂多变的环境中,完全避开或者     

How to identify water from thickener aqueous solutions by touch

Water detection is one of the most crucial psychological processes for many animals. However, nobody knows the perception mechanism of water through our tactile sense. In the present study, we found that a characteristic frictional stimulus with large acceleration is one of the cues to differentiate water from water contaminated with thickener. When subjects applied small amounts of water to a glass plate, strong stick-slip phenomena with a friction force of 0.46 ± 0.30 N and a vertical force of 0.57 ± 0.36 N were observed at the skin surface, as shown in previous studies. Surprisingly, periodic shears with acceleration seven times greater than gravitational acceleration occurred during the application process. Finite-element analyses predicted that these strong stimuli could activate tactile receptors: Meissner''s corpuscle and Pacinians. When such stimuli were applied to the fingertips by an ultrasonic vibrator, a water-like tactile texture was perceived by some subjects, even though no liquid was present between the fingertip and the vibrator surface. These findings could potentially be applied in the following areas: materials science, information technology, medical treatment and entertainment.     

How to automatically identify major research sponsors selecting keywords from the WoS Funding Agency field

In a context of increasingly limited resources, the demand for information from research funding bodies is growing. The exploitation of the funding acknowledgements collected in WoS publications can be useful for these sponsors, not only because it allows them to know the published results with their financial support, but also because it provides a framework to evaluate the efficiency of the different funding instruments. The present work adds to the knowledge of previous studies to offer a simple and efficient methodology that automatically identifies major sponsors, and their funded research, using keywords. To this end, articles with Spain in the address field and English in the language field are obtained (years 2010–2014), given that WoS only considers funding acknowledgements written in English. Subsequently, the Funding Agency field of these articles is treated, selecting funders’ variants that will serve as keywords in the Full-Text Search for the location of the research supported by major sponsors. In addition, a sample of reviewed documents is provided to evaluate the reliability of the proposed methodology, performing also some statistical tests. The results show a recall of 91.5% of the sample articles, with a precision of 99%. Notwithstanding, there are differences in the automatic identification of funders by institutional sector and/or area, being the Government sector the one with the highest precision and recall, and the area of Agriculture, Biology and Environment the one with the best degree of association between the automatic classification and the reviewed one. Finally, possible future developments are offered, paying special attention to increasing the automation of the standardisation of funders’ names.     

How to identify research groups using publication analysis: an example in the field of nanotechnology

Summary We present a new bibliometric approach to identify research groups in a particular research field. With a combination of bibliometric mapping techniques and network analysis we identify and classify clusters of authors to represent research groups. In this paper we illustrate the application and potential of this approach and present two types of outcomes: actual research groups and potential research groups. The former enables us to define research groups beyond the organizational structure. The latter may be used to identify potential partners for collaboration. Our approach is a starting point to deal with the complex issue of research groups in a changing structure of scientific research.     

How to identify emerging research fields using scientometrics: An example in the field of Information Security

In the highly competitive world, there has been a concomitant increase in the need for the research and planning methodology, which can perform an advanced assessment of technological opportunities and an early perception of threats and possibilities of the emerging technology according to the nation’s economic and social status. This research is aiming to provide indicators and visualization methods to measure the latest research trend and aspect underlying scientific and technological documents to researchers and policy planners using “co-word analysis”. Information Security field is a highly prospective market value. In this paper, we presented an analysis Information Security. Co-word analysis was employed to reveal patterns and trends in the Information Security fields by measuring the association strength of terms representatives of relevant publications or other texts produced in the Information Security field. Data were collected from SCI and the critical keywords could be extracted from the author keywords. These extracted keywords were further standardized. In order to trace the dynamic changes in the Information Security field, we presented a variety of technology mapping. The results showed that the Information Security field has some established research theme and also rapidly transforms to embrace new themes.