An antiphishing strategy based on visual similarity assessment

The authors' proposed antiphishing strategy uses visual characteristics to identify potential phishing sites and measure suspicious pages similarity to actual sites registered with the system. The first of two sequential processes in the SiteWatcher system runs on local email servers and monitors emails for keywords and suspicious URLs. The second process then compares the potential phishing pages against actual pages and assesses visual similarities between them in terms of key regions, page layouts, and overall styles. The approach is designed to be part of an enterprise antiphishing solution.     

扫描式X光机及DDS在其运动控制中的应用

扫描式X光机是一种高精度，高性能的新型医疗设备，其显著优点在于大大降低了患者所受X光辐射剂量，可直接得到患者清晰的X光数字图像，缩短出片时间，X光片资料存储方便，便于实现远程诊断，该设备对运动控制部分的匀速性，平稳性和多次扫描的位置重复性的要求均很高。本文主要针对其运动控制部分的结构特点，分析了影响运动性能的主要原因，并将直接数字频率合成器应用于调速，从而实现了对其运动控制部分的要求。     

The effect of vacuum evaporation plating on phase structure and electrochemical properties of AB5–5 mass% LaMg3 composite alloy

In this paper, Cu, Al and Ni were plated on the AB₅–5 mass% LaMg₃ composite hydrogen storage alloy using a vacuum evaporation plating method. The phase structure and the electrochemical properties were investigated. The X-ray diffraction (XRD) analysis shows that the phase structure is not changed obviously after the plating Cu, Al and Ni on the composites. The electrochemical tests show that maximum discharge capacity, high rate dischargeability (HRD), dischargeability at low temperature and cyclic stability was improved by vacuum evaporation plating Cu, Al and Ni. Maximum of discharge capacity of the AB₅–5 mass% LaMg₃ composite alloy plating Ni can reach 351 mAh/g, which is 3.5% higher than that of the untreated. HRD at I_d = 1200 mA/g of the composite alloy plating Cu is 45.0% of that at 60 mA/g, which is 20.4% higher than the untreated. Discharge capacity of the composite alloy plating Cu at low temperature 233 K is 205 mAh/g, which is 57.3% of that at 298 K, and it is much higher than 36.8% of the untreated composites. The discharge capacity retention of the composite alloy plating Al after 200 cycles is 7.8% higher than the untreated.     

Users’ interest grouping from online reviews based on topic frequency and order

Large volume of online review data can reveal consumers’ major interests on domain product, which attracts great research interests from the academic community. Most of the existing works focus on the problems of review summarization, aspect identification or opinion mining from an item’s point of view such as the quality or popularity of products. Considering the fact that users who generate those review texts draw different attentions to product aspects with respect to their own interests, in this article, we aim to learn K users’ interest groups indicated by their review writings. Such K interest groups’ identification can facilitate better understanding of major and potential consumers’ concerns which are crucial for applications like product improvement on customer-oriented design or diverse marketing strategies. Instead of using a traditional text clustering approach, we treat the groupId/clusterId as a hidden variable and use a permutation-based structural topic model called KMM. Through this model, we infer K interest groups’ distribution by discovering not only the frequency of product aspects (Topic Frequency), but also the occurrence priority of respective aspects (Topic Order). They jointly present an informative summarization on the raw review corpus. Our experiment on several real-world review datasets demonstrates a competitive solution.     

交叉口入口路段车流量及车辆换道率检测研究

针对交叉口入口路段交通视频中存在车辆遮挡严重、频繁走停以及频繁换道插队等特点,提出了一种获取交叉口停车线后大视野范围内车流量以及车辆换道率的检测方法.首先采用多级虚拟特征线生成多级时空图,对车辆进行快速检测和分割,获得车辆候选区域;然后对车辆候选区域内局部特征点进行初步分组和跟踪,并根据相同组内特征点运动趋势相似性来修正分组,解决车辆遮挡问题,用于检测车辆换道率;最后将多级时空图与特征点跟踪相结合,进行相互反馈,实现对车辆准确分割和鲁棒跟踪,避免车辆行驶中走停的影响.实验结果表明,通过该方法能实时准确地获取大视野范围内交叉口入口路段车流量和车辆换道率的交通参数.     

Algorithmic trading system: design and applications

This paper provides an overview of research and development in algorithmic trading and discusses key issues involved in the current effort on its improvement, which would be of great value to traders and investors. Some current systems for algorithmic trading are introduced, together with some illustrations of their functionalities. We then present our platform named FiSim and discuss its overall design as well as some experimental results in user strategy comparisons.     

Multi‐Unit Bayesian Auction with Demand or Budget Constraints

We consider the problem of revenue maximization on multi‐unit auctions where items are distinguished by their relative values; any pair of items has the same ratio of values to all buyers. As is common in the study of revenue maximizing problems, we assume that buyers' valuations are drawn from public known distributions and they have additive valuations for multiple items. Our problem is well motivated by sponsored search auctions, which made money for Google and Yahoo! in practice. In this auction, each advertiser bids an amount b_i to compete for ad slots on a web page. The value of each ad slot corresponds to its click‐through‐rate, and each buyer has her own per‐click valuations, which is her private information. Obviously, a strategic bidder may bid an amount that is different with her true valuation to improve her utility. Our goal is to design truthful mechanisms avoiding this misreporting. We develop the optimal (with maximum revenue) truthful auction for a relaxed demand model (where each buyer i wants at most d_i items) and a sharp demand model (where buyer i wants exactly d_i items). We also find an auction that always guarantees at least half of the revenue of the optimal auction when the buyers are budget constrained. Moreover, all of the auctions we design can be computed efficiently, that is, in polynomial time.     

Pricing ad slots with consecutive multi-unit demand

We consider the optimal pricing problem for a model of the rich media advertisement market, that has other related applications. Our model differs from traditional position auctions in that we consider buyers whose demand might be multiple consecutive slots, which is motivated by modeling buyers who may require these to display a large size ad. We study three major pricing mechanisms, the Bayesian pricing model, the maximum revenue market equilibrium model and an envy-free solution model. Under the Bayesian model, we design a polynomial-time computable truthful mechanism that optimizes the revenue. For the market equilibrium paradigm, we find a polynomial-time algorithm to obtain the maximum revenue market equilibrium solution. In the envy-free setting, an optimal solution is presented for the case where the buyers have the same demand for the number of consecutive slots. We present results of a simulation that compares the revenues from the above schemes.     

Efficient Phrase-Based Document Similarity for Clustering

In this paper, we propose a phrase-based document similarity to compute the pair-wise similarities of documents based on the Suffix Tree Document (STD) model. By mapping each node in the suffix tree of STD model into a unique feature term in the Vector Space Document (VSD) model, the phrase-based document similarity naturally inherits the term tf-idf weighting scheme in computing the document similarity with phrases. We apply the phrase-based document similarity to the group-average Hierarchical Agglomerative Clustering (HAC) algorithm and develop a new document clustering approach. Our evaluation experiments indicate that, the new clustering approach is very effective on clustering the documents of two standard document benchmark corpora OHSUMED and RCV1. The quality of the clustering results significantly surpass the results of traditional single-word textit{tf-idf} similarity measure in the same HAC algorithm, especially in large document data sets. Furthermore, by studying the property of STD model, we conclude that the feature vector of phrase terms in the STD model can be considered as an expanded feature vector of the traditional single-word terms in the VSD model. This conclusion sufficiently explains why the phrase-based document similarity works much better than the single-word tf-idf similarity measure.     

一种安全性更高的正形置换发生器

作为一种完全映射,正形置换是对称密码体制中一类重要的基础置换.正形置换已经被证明拥有完全平衡性.自1995年以来,国内外学者对于正形置换的研究主要集中在构造与计数方面,但是对于正形置换的密码学性质,比如差分均匀度和非线性度等则相对关注得较少,而具有良好密码学性质的正形置换可以直接用来设计对称密码算法中的密码学部件.修正了一个关于复合函数密码学性质的结论中关于非线性度所存在的问题;接着分析了一般BDLL正形置换发生器的抗差分分析和抗线性分析的密码学性质;然后基于复合函数提出了一种改进的正形置换发生器,并结合修正后的复合函数结论证明了该正形置换发生器相比于一般BDLL正形置换发生器,能够生成数量更多、拥有更高非线性度和代数次数的非线性正形置换.