A new mobile payment scheme for roaming services

Due to the advance of mobile network technologies, mobile personal devices are used to perform electronic payment. This paper proposes a new on-line payment scheme for mobile network. The proposed scheme is not only performed in the home domain, but also can be performed in visited domain. Our scheme provides consumer anonymity, authentication, non-repudiation and data integrity properties. The consumer can make transaction with shop, vendor machine and WAP site based on our scheme. Our scheme only includes symmetric encryption and one-way hash function, it takes lower computation cost and is more suitable for mobile device.     

A further study on multiple attractors of mixed convection in confined spaces

By truncating the blended Fourier and Chebyshev expansion of the solution of the two-dimensional partial differential equations for viscously incompressible fluids, a simplified model on studying the mixed convection in an enclosure is developed. Dynamical behavior of the developed model while varying the system parameters is investigated numerically. Results seem to be helpful in explaining qualitatively the physical mechanism of the multiple mixed convection flows, and understanding the onset of chaotic mixed convection.     

计算机视觉在农产品外部品质检测中的应用研究

计算机视觉技术是一种无损、快速、经济的检测技术,是有可能取代人工(视觉)检查方法,在农产品质量检测中得到广泛认可。外观是农产品非常重要的感官属性,它会直接影响农产品的市场价值和消费者的选择,还在某种程度上影响其内在品质。本文介绍了计算机视觉系统的非接触式布置和高照明系统组件、图像处理和图像分析技术;在此基础上,详细综述了计算机视觉在农产品外部品质检测领域的应用研究,重点讨论计算机视觉技术在此领域的优势与不足,旨在为农产品外部品质检测提供技术支撑,并保障消费者的食用安全。     

基于预测和滑动窗口的轨迹差分隐私保护机制

为解决轨迹差分隐私保护中存在的隐私预算与服务质量等问题,提出了一种融合预测扰动的轨迹差分隐私保护机制。首先,利用马尔可夫链和指数扰动方法预测满足差分隐私和时空安全的扰动位置,并引入服务相似地图检测该位置的可用性;如果预测成功,则直接采用预测位置替代差分扰动的位置,以降低连续查询的隐私开销并提高服务质量。在此基础上,设计基于w滑动窗口的轨迹隐私预算分配机制,确保轨迹中任意连续的w次查询满足ε-差分隐私,解决连续查询的轨迹隐私问题。此外,基于敏感度地图设计一种隐私定制策略,通过自定义语义位置的隐私敏感度,实现隐私预算的量身定制,从而进一步提高其利用率。最后,利用真实数据集对所提方案进行实验分析,结果显示所提方案提供了更好的隐私保护水平和服务质量。     

一种高效的车体表面损伤检测分割算法

车体表面损伤检测是计算机视觉中的经典问题.车体表面损伤检测的主要瓶颈在于图像中损伤实例的不同尺度影响了分割的精度与效率.本文采用单阶段语义分割网络(YOLACT++)进行车体表面的损伤检测,通过结合EfficientNet设计主干网络提高分割效率,并通过改进损失函数优化YOLACT++中目标实例Mask的生成,实验中用...     

Human error probability estimation by coupling simulator data and deterministic analysis

Operator error in diagnosis and execution of task have significant impact on Nuclear Power Plant (NPP) safety. These human errors are classified as mistakes (rule base and knowledge based errors), slip (skill based) and lapses (skill based). Depending on the time of occurrence, human errors have been categorized as i) Category ‘A’ (Pre-Initiators): actions during routine maintenance and testing wherein errors can cause equipment malfunction ii) Category ‘B’ (Initiators): actions contributing to initiating events or plant transients iii) Category ‘C’ (Post-Initiators): actions involved in operator response to an accident. There have been accidents in NPPs because of human error in an operator's diagnosis and execution of an event. These underline the need to appropriately estimate HEP in risk analysis. There are several methods that are being practiced in Probabilistic Safety Assessment (PSA) studies for quantification of human error probability. However, there is no consensus on a single method that should be used. In this paper a method for estimating HEP is proposed which is based on simulator data for a particular accident scenario. For accident scenarios, the data from real NPP control room is very sparsely available. In the absence of real data, simulator based data can be used. Simulator data is expected to provide a glimpse of probable human behavior in real accident situation even though simulator data is not a substitute for real data. The proposed methodology considers the variation in crew performance time in simulator exercise and in available time from deterministic analysis, and couples them through their respective probability distributions to obtain HEP. The emphasis is on suitability of the methodology rather than particulars of the cited example.     

生成对抗网络的研究进展综述

自生成对抗网络(GANs)诞生以来,对其研究已经成为机器学习领域的一个热点。它利用对抗学习的机制训练模型,解决了当年生成算法无法解决的问题。由于GANs的优势,研究者们对其进行深入的研究,产生了许多GANs的衍生模型,这使得GANs得到了快速的发展,形成了所谓的GAN-Zoo。GANs被广泛应用于视觉领域、音频领域、自然语言领域及其他各种领域中,如图像生成、图像翻译、文本生成、音频转换和自然语言翻译等。从传统GANs出发,对近几年内GANs的研究中较为突出的方面进行总结,首先介绍了传统GANs的基本理论,然后对近年来GANs的主要衍生模型进行分析,最后总结了GANs在图像领域和信息安全领域中的主要应用成果。     

谷氨酰胺转氨酶及其在食品工业上的应用研究进展

谷氨酰胺转氨酶（Transglutaminase, EC 2.3.2.13,TGase）是一种可催化蛋白质间形成异肽键使蛋白质改性的天然酶制剂。该酶可以催化蛋白质发生交联、脱酰胺和糖基化反应,在改善食品的硬度、粘性、弹性和持水力等方面具有较大的应用潜力。它的交联性可应用于:制造奶酪和其他乳制品、肉制品加工、生产可食性薄膜及微胶囊等。本文综述了TGase的分子结构、作用机理以及近年来国内外利用该酶在食品工业中改善食品品质的研究进展,以期为TGase在改善蛋白质功能性质、提升食品品质等方面的研究工作提供有效参考。