银行卡磁条信息格式和使用规范

前 言本标准以GB/T 17552识别卡金融交易卡为基础,参照GB/T 14504银行卡、GB/T 15694.1识别卡发卡者标识第1部分:编号体系、GB/T15120.2识别卡记录技术第2部分:磁条等相关标准编制。本标准对银行卡第1磁道和第2磁道的磁条信息格式及我国银行卡对各磁道的使用作出了规定。本标准由全国银行卡办公室提出。本标准由全国金融标准化技术委员会归口。本标准由中国工商银行负责组织制定。本标准起草单位:中国人民银行 中国工商银行 中国农业银行 中国银行 中国建设银行交通银行 中国标准研究中心本标准主要起草人:单怀光 仲安妮 张艳聂舒 陆书春 桂孝生 徐敏 童杰 李铁成刘芝 武志光 高天翔 李建峰 纪朝辉

将他人借记卡磁条信息改写至本人卡上取款应如何定性

作为一种现代化的交易支付手段,信用卡已经逐渐深入普通消费者的生活,与此同时,各类信用卡犯罪也日趋严重。然而,司法实践中,在打击信用卡犯罪活动方面,仍然存在一些有待明晰的法律适用问题。本期“疑案精解”特邀专家对窃取他人借记卡磁条信息,改写至本人卡上取款的行为进行分析。

利用Windows消息为PB控件巧添动态信息条

讨论一则PowerBuilder开发技巧 :利用Windows消息WM—NCHITTEST以及PB中用户对象和用户事件两种技术 ,为控件添加动态信息条。

2013年鹰潭市公众结核病防治5条核心信息知晓率的调查分析

目的：掌握全市公众结核病防治5条核心信息知晓率水平,为今后制订结核病防治健康促进策略提供数据支撑。方法采用系统分层随机抽样方法,对全市3个县（市）9个乡镇/街道的4723名城乡居民,采取入户面对面询问方式进行问卷调查。结果调查对象5条核心信息总知晓率为68.3%,12岁～年龄组、小学及以下文化水平、家政、家务及待业的知晓率偏低；调查对象中5条核心信息全部知晓率为17.1%,“免费政策”的知晓率最低,为51.0%,通过别人了解核心信息的占53.3%,乐于通过电视了解信息的占40.7%。结论动员全社会参与、多部门合作,针对不同人群开展重点突出、效果明显的结核病防治健康促进活动,并及时对宣传效果进行总结与评价。

信息条在“模拟病人现场处理”实验教学中的运用

在"模拟病人现场处理"实验教学中,将模拟病人的各种情况制作成信息条,再把信息条发给学生,学生拿到信息条后根据信息条的提示做好准备工作、进行护理评估和采取具体的护理措施,有助于学生的专业实践技能、沟通能力、学习能力和获取及利用信息能力的提高,培养了学生的综合职业能力。

谈英语写作中一条隐形的翅膀

英语写作在高中阶段是非常重要的项目,在高考中起着事关大局的重要作用。因此,教师在日常教学中如何帮助学生将多条信息有条理地整合,准确地表达自己的想法至关重要。结合教学实践,谈谈这方面的认识。

基于图注意力网络的案件罪名预测方法:CP-GAT

案件罪名预测任务是基于文本数据去预测案件所属罪名.针对现有方法在相似罪名和长尾数据集上表现不佳的问题,提出了一种基于图注意力网络的案件罪名预测方法CP-GAT(charge prediction based on graph attention network).该方法首先使用司法文书数据集中的案例事件描述文本和案例对应的法条信息建立异质图结构数据,构建后的异质图包含两种类型的节点(词节点、案例节点),两种类型的边(词节点与词节点相连的边,词节点与案例节点相连的边).在基于法律文本构建后的异质图上使用图注意力网络进行图特征提取,最后将得到的特征向量输入到罪名预测的分类器中,得到案例所属的罪名.在CAIL2018法律数据集上的实验结果表明,基于图注意力网络的罪名预测方法优于对比实验使用的方法,准确率和宏观F 1值分别达到了95.2%和66.1,验证了提出的方法有利于提升案件罪名预测任务的性能.

侵犯公民个人信息罪中个人信息及数量的界定

信息技术的发展带来了个人信息数量的海量化问题,给侵犯公民个人信息罪中公民个人信息的认定带来较大困难。为此,须从真实性、可识别性两个层面把握公民个人信息的范围,明确“条信息”为主、“组信息”为辅的信息计量单位。而对于“发布”型提供特定公民个人信息行为的入罪问题,应注重其实践表现,并分类讨论。同时,还应确定批量信息的认定方式,通过分类方式加以认定,以实现罪责刑相适应。

STUDY ON EXTRACTING METHODS OF BURIED GEOLOGICAL INFORMATION IN HUAIBEI COAL FIELD

It is discussed features and tbe producing mechanism of buried geological information in geological, geophysical and remote sensing data in Huaibei coal field, and studied the methods extracting buried tectonic and igneous rock information from various geologicaI data using digital image processing techoiques.

Nonlinear Analysis of Physiological Time Series

The heart rate variability could be explained by a low-dimensional governing mechanism. There has been increasing interest in verifying and understanding the coupling between the respiration and the heart rate. In this paper we use the nonlinear detection method to detect the nonlinear deterministic component in the physiological time series by a single variable series and two variables series respectively, and use the conditional information entropy to analyze the correlation between the heart rate, the respiration and the blood oxygen concentration. The conclusions are that there is the nonlinear deterministic component in the heart rate data and respiration data, and the heart rate and the respiration are two variables originating from the same underlying dynamics.

论自动化决策中交易条件合理差别待遇的认定

《个人信息保护法》第24条第1款规定自动化决策中禁止不合理差别待遇,确立了“合理差别待遇”的认定标准。然而,由于该认定标准自身过于抽象而不具有确定性,并且缺乏与其相适应的具体认定规则,导致其在司法实践中存在理解与适用上的困难。对此,可以考虑采取利益衡量的方法,从自动化决策信息输入、处理决策、结果输出环节出发,确定与各环节相关的利益衡量要素及其内涵,并以这些要素为基础认定各环节的合理性,最终共同作用于合理差别待遇的认定。在利益衡量方法的具体运用上,应以决策透明度、结果公平公正为判断标准,将各环节、要素与这些标准结合,查明各环节间的关系以及与认定结果之间的关系,并在此基础上将比例原则纳入利益衡量的考量机制,以此形成具有可行性的认定方法,提升合理差别待遇认定方法的明确性和可操作性。

COMPACT SUPPORT THIN PLATE SPLINE ALGORITHM

Common tools based on landmarks in medical image elastic registration are Thin Plate Spline (TPS) and Compact Support Radial Basis Function (CSRBF). TPS forces the corresponding landmarks to exactly match each other and minimizes the bending energy of the whole image. However, in real application, such scheme would deform the image globally when deformation is only local. CSRBF needs manually determine the support size, although its deformation is limited local. Therefore, to limit the effect of the deformation, new Compact Support Thin Plate Spline algorithm (CSTPS) is approached, analyzed and applied. Such new approach gains optimal mutual information, which shows its registration result satisfactory. The experiments also show it can apply in both local and global elastic registration.

RESEARCH ON COLOR CONSTANCY UNDER OPEN ILLUMINATION CONDITIONS

Color information plays a key role in the research fields of object recognition and image retrieval. However, the actual color varies by the conditions of illumination, especially the open natural daylight. Four different color constancy schemes are proposed in the paper to minimize the effects of open illumination conditions. (1) The color constancy scheme based on the image statistics is proposed, which includes the color cast detection and removal. (2) The color constancy scheme based on the color temperature curve is proposed, which combines Gaussian model with linear fitting to estimate color temperature curve. (3) The color constancy scheme based on the double exposure theory is proposed, which is able to reproduce a color image under typical illumination. (4) According to the concepts of supervised learning, the supervised color constancy scheme is proposed. The transformation of color values from unknown illumination to typical illumination is solved by improved Support Vector Regression (SVR).

An Approach to Representing Heterogeneous Non-Uniform Rational B-Spline Objects

The representation method of heterogeneous material information is one of the key technologies of heterogeneous object modeling, but almost all the existing methods cannot represent non-uniform rational B-spline （NURBS） entity. According to the characteristics of NURBS, a novel data structure, named NURBS material data structure, is proposed, in which the geometrical coordinates, weights and material coordinates of NURBS heterogene- ous objects can be represented simultaneously. Based on this data structure, both direct representation method and inverse construction method of heterogeneous NURBS objects are introduced. In the direct representation method, three forms of NURBS heterogeneous objects are introduced by giving the geometry and material information of con- trol points, among which the homogeneous coordinates form is employed for its brevity and easy programming. In the inverse construction method, continuous heterogeneous curves and surfaces can he obtained by interpolating discrete points and curves with specified material information. Some examples are given to show the effectiveness of the pro- posed methods.

Short Sellers Are Indeed Sophisticated Traders!

Current literature shows that short sellers earn positive returns on their trades and that the superior performance of short sellers is due to their better analytic skills. In this paper, we investigate, if it is possible for a short seller to make profits even if he does not have insider information or is not sophisticated. We use a one period model and assume that stock price follows a random walk with a positive drift to show that the＇ expected return for an uninformed short seller is always negative and his risks are always greater than the risks of a stock buyer. Hence a short seller would not trade unless he has superior trading skills and/or information. We also show that the market conditions when the stock＇s dividend yield is greater than the risk free rate gives the shortsellers advantage over stock buyers.

Incorporating Fuzzy Inference in Active Database Rules

Active databases react to stimulation, or event from inside or outside the system without user or application interference through Events Conditions Actions(ECA) rules (triggers). ECA rule is defined as: ON event IF condition THEN action, which means when an event happens, if the condition is satisfied then the corresponding action is executed. The nature of ECA rule makes it an appropriate means to model dynamic character of systems, as gained much studies during recent years. Traditional ECA rule is crisp, which means their events, condition (s) and action(s) are accurate. As indicate that ECA rules can only represent precise knowledge. But knowledge is usually fuzzy in engineering. A concept of fuzzy ECA rules characterized with fuzzy event, fuzzy condition and fuzzy action is proposed in this article.The realization avenues of fuzzy triggers are discussed. The work we have done blazes a way in representing approximate syntax in active database application systems. At last a case of 'overheating alarm' is given to illustrate the approach.

Identification and bioinformatics analysis of micro RNAs from the sporophyte and gametophyte of Pyropia haitanensis

Pyropia haitanensis(T.J.Chang et B.F.Zheng) N.Kikuchi et M.Miyata( Porphyra haitanensis) is an economically important genus that is cultured widely in China.P.haitanensis is cultured on a larger scale than Pyropia yezoensis,making up an important part of the total production of cultivated Pyropia in China.However,the majority of molecular mechanisms underlying the physiological processes of P.haitanensis remain unknown.P.haitanensis could utilize inorganic carbon and the sporophytes of P.haitanensis might possess a PCK-type C 4-like carbon-fixation pathway.To identify micro RNAs and their probable roles in sporophyte and gametophyte development,we constructed and sequenced small RNA libraries from sporophytes and gametophytes of P.haitanensis.Five micro RNAs were identified that shared no sequence homology with known micro RNAs.Our results indicated that P.haitanensis might posses a complex s RNA processing system in which the novel micro RNAs act as important regulators of the development of different generations of P.haitanensis.

An Improved Semi-Orthogonal User Selection Algorithm Based on Condition Number for Multiuser MIMO Systems

In Multiple-Input Multiple-Out （MIMO） systems, the user selection algorithm plays an important role in the realization of multiplexing gain. In this paper, an improved Semi-orthogonal User Selection algorithm based on condition number is proposed. Besides, a new MIMO pre- coding scheme is designed. The proposed SUS- CN （SUS with condition number） algorithm outperforms the SUS algorithm for the selection of users with better matrix inversion property, thus a higher information rate for selected user pair is achieved. The designed MIMO precoding matrix brings benefits of the power equality at transmitted terminals, the limited dynamic range of the power over time, and a better power efficiency. The simulation results give the key insights into the im- pact of the different condition number value and users on the sum-rate capacity.

An improved method for multiple targets tracking

The difficulty of multiple targets tracking is how to quickly fulfill the target matching from one flame image to another and fix the position of the target. In order to accurately choose target feature information for reliable matching, simplify operations under the reliable precondition, and realize precise moving objects tracking, an approach based on Kalman prediction and feature matching was proposed. The position of the target in next frame image was predicted by Kalman, and then the moving objects of two adjacent frames were matched by the centroid and area methods. When occlusion occurs, the best matching result was found to realize tracking by matching matrix algorithm. The simulation results show that the proposed method can achieve multiple targets tracking accurately and in real-time under complicated motion movements.

Method of Prototyping Sensitive Dynamic Engineering Structures Supporting Automatic Information Identification Regarding a Structure＇s Condition

This publication presents an algorithm analyzing dynamic sensitive engineering structures. The measurements data which are analyzed were mostly obtained during test loading of given designs, but some examples are made also with simulated data. Data are decomposed in time and frequency domains. Hence, one is able to attain the rate of stress absorption of a given structure, in direct conjunction with the presented algorithm that is based upon the Hilbert transformation. Next, the information in stationary signals that represents a given structure before and after damage, is used to help determine the state of existing objects. Finally, the presented algorithm is capable of an in-depth analysis of new structures and monitoring existing ones, including those which are being exposed to continual use.