基于图像变形的卡用户认知性(英文)

尽管许多人可能并没有意识到,各类卡已经被广泛应用到我们的日常生活当中。其中,信用卡,现金卡,驾驶执照,等等,其实与钱包同等重要。为了防止这些卡被非法使用,用户认证是必不可少的。最常用的用户认证方法就是要求用户提供某些个人信息。如果用户提供的信息与卡中记录的信息一致,我们就认为用户是合法的。然而如果个人信息被泄露,卡就有可能被非法使用。本论文的目的就是要提供一种新的基于图像变形的卡用户认证方法。其基本思路是把真正持卡人的脸部图像通过图像变形隐藏到某个覆盖数据下,并把恢复原图像所需要的钥匙信息分散保存到卡,终端,服务器等不同地方。在用户使用卡的时候,认证系统可以利用反变形技术恢复原图像,让受权人察知到用户的真伪,从而有效地保护持卡人的权益。     

WiNoC中基于Edge first算法的流量平衡设计

在无线片上网络中,无线节点拥塞以及不同子网和全局网络内的流量平衡情况对整个片上网络的通信效率有着重要的影响,为此提出了基于Edge first算法的全局流量平衡机制（GTB）。首先优化了划分有线无线数据包的机制,减少了无线节点处的拥塞;其次根据无线路由器（WR）的拥塞情况,提出Edge first路由算法平衡子网内的流量;最后在全局网络中提出了全局子网拥塞感知（GSCA）判断机制,使得长距离数据包优先从低拥塞子网通过,平衡了全局网络的流量。实验表明,该方案在可接受的硬件开销、功耗开销下,保证较低的网络延迟和较高的网络吞吐率,并且大幅的提升了网络的流量平衡性能。     

The effects of individual differences,prior experience and cognitive load on the transfer of dynamic decision-making performance

Situational awareness is recognised as an important factor in the performance of individuals and teams in dynamic decision-making (DDM) environments (Salmon et al. 2014 Salmon, P. M., N. A.Stanton, G. H.Walker, D.Jenkins, D.Ladva, L.Rafferty, and M.Young. 2014. “Measuring SA in Complex Systems: Comparison of Measurement Study.” International Journal of Industrial Ergonomics39: 490–500.[Crossref], [Web of Science ®] , [Google Scholar]). The present study was designed to investigate whether the scores on the WOMBAT? Situational Awareness and Stress Tolerance Test (Roscoe and North 1980 Roscoe, S. N., and R.North. 1980. “Prediction of Pilot Performance.” In Aviation Psychology, edited by S. N.Roscoe, 123–127. Ames: The Iowa State University Press. [Google Scholar]) would predict the transfer of DDM performance from training under different levels of cognitive load to a novel situation. Participants practised a simulated firefighting task under either low or high conditions of cognitive load and then performed a (transfer) test in an alternative firefighting environment under an intermediate level of cognitive load. WOMBAT? test scores were a better predictor of DDM performance than scores on the Raven Matrices. Participants with high WOMBAT? scores performed better regardless of their training condition. Participants with recent gaming experience who practised under low cognitive load showed better practice phase performance but worse transfer performance than those who practised under high cognitive load.

Practitioner Summary: The relationship between task experience, situational awareness ability, cognitive load and the transfer of dynamic decision-making (DDM) performance was investigated. Results showed that the WOMBAT? test predicted transfer of DDM performance regardless of task cognitive load. The effects of cognitive load on performance varied according to previous task-relevant experience.     

网络安全态势感知研究综述

随着科学技术的发展,网络规模在不断的扩大,复杂性也在逐渐的增强,面临的网络安全问题也越来越严峻。传统的网络安全技术已经无法满足网络快速发展的需要,无法全面的防御网络攻击行为,必须对新的网络安全技术进行大力研究和开发。网络安全态势感知能够对影响网络安全的因素进行量化分析,为保障网络安全提供重要的依据,因此,对网络安全态势感知进行研究意义重大。本文将在网络安全态势感知概念模型的基础上,对网络安全态势感知的相关研究进行探讨。     

青岛市村镇居民环境意识调查

对青岛市3个村镇的103位村镇居民进行了环境意识调查,调查结果采用均值赋值法进行分析,发现居民对环境知识的实际知晓率不高,且获得环保信息的渠道相对单一,对环保的重要性、紧迫性认识较高、责任感较强,对污水处理有积极的态度,并有71％的被调查者愿意缴纳不超过10元／（月·户）的污水处理费用;被调查居民认为调查表中所列各项污染原因与本村的环境污染关系不大．     

浅谈高职学生创业意识与创业能力的培养

随着社会的发展,创业已成为一种相当重要的就业方式之一,然而,当前高职学生的创业意识与创业能力明显是跟不上时代的发展。文章提出高职院校要围绕创业意识和创业能力的培养方式,从创业课程教学、创业环境建设和开展创业实践活动等方面着手,积极探索高职院校创业教育的有效途径,从而培养学生的创业意识、提高学生的创业能力。     

试论营养教育的重点人群

营养教育是健康教育的重要组成部分,是方便、有效的营养干预方式,许多国家都极为重视。我国目前营养教育应当首先关注重点人群,即营养弱势群体和对膳食与营养具有影响力的人群。营养弱势群体主要包括儿童青少年、孕妇乳母、老年人、慢性病患者、社会弱势群体,他们或处在生长发育的关键时期、或处在特殊的生理时期,或是健康状况不良的人群,或是营养状况较差的群体;对膳食与营养具有影响力的人群主要包括家庭主妇、团体膳食制作及管理人员。营养教育应从这些重点人群入手,提高其膳食营养意识,普及基本营养知识,改善大众营养状况,提升生命质量。     

我国酒店业网络营销的现状及策略研究

酒店开展网络营销,就是对未来客源市场的战略考虑,是酒店进行市场竞争、实现酒店可持续性发展和建立酒店品牌意识的需要。借助网络的信息化平台开展酒店营销,已成为酒店竞争的新内容。然而,从我国酒店业的网络营销现状来看,还存在许多问题。针对这些问题,本文运用归纳和系统分析的方法,阐述了我国酒店业网络营销的现状,分析了我国酒店业开展网络营销的必要性以及存在的问题,提出了在新的形势下我国酒店业开展网络营销的相应策略。     

Smart dispatching and optimal elevator group control through real-time occupancy-aware deep learning of usage patterns

Passengers spend much time on elevator journeys in high-rise buildings every day, in which unnecessary stops caused by lack of cab capacity take up a certain proportion of the journey time. This study proposes real-time occupancy-aware smart dispatching to avoid pick-up failure by introducing the occupancy information that reflects elevator capacity into the optimization model, thus improving dispatching performance. Occupancy awareness is firstly implemented with deep learning-based object detection to provide estimated capacity. Traffic pattern recognition is implemented with time series analysis and fuzzy logic. Case-based reasoning is applied to recognize the current usage pattern and to deploy specific dispatching strategies. A prioritized A* search model is built to solve dispatching optimization with occupancy information. Discrete event simulation is conducted with Simio and MATLAB to validate the proposed dispatching model.     

Cognitive work analysis to comprehend operations and organizations in the mining industry

Complex industrial systems, including mining, have a prominent challenge in understanding the interrelationship among the cognitive processes, working environment and available equipment. The concept of cognitive work analysis(CWA) transcends the traditional analytic methods of evaluating human tasks solely based on perceptual and physical traits, and rather implements the notions of behavioral and cognitive awareness indispensable for the intricacy of modern technology. In the last few decades, academic and industrial settings employ this type of analysis to set a suitable standard for a system's safety feasibility, and as a result reduce human-based errors. This research paper analyzes current CWA methods and proposes a five-level quantification model portraying the overall cognitive quality of a mining operation.