New method for the on-line signature verification based on horizontal partitioning

Verification of identity based on the analysis of dynamic signatures is an important problem of biometrics. The effectiveness of the verification significantly increases when the dynamic characteristics of signature (e.g. velocity of the pen) are considered. These characteristics are individual for each user and difficult to imitate. The effectiveness of the verification can be further improved by using partitioning. In this paper we propose a new method which uses partitioning. In our method partitions represent areas of high and low speed of signature and high and low pen?s pressure. All selected partitions are used by our algorithm, but more important in the classification process are these partitions, in which the signatures of the user acquired during training phase are more stable. Moreover, final classification is interpretable. In this paper we present the simulation results of the proposed method for the two databases: SVC2004 and BioSecure Database.     

Distinguishing the adoption of business intelligence systems from their implementation: the role of managers’ personality profiles

For decades, the marketing guidelines of enterprise software providers have focused on those managers who are likely to be more innovative in adopting new information systems. The current study argues that this approach demands improvements for two reasons: (1) this tactic may be biased, since past studies have only examined the single trait of innovativeness and its impact on an individual adoption intention and (2) the organisational implementation intention might be more important than the individual adoption intention, but the former has been largely ignored in the existing literature. Based on the case of business intelligence (BI) systems and data from 62 senior managers, this study is a pioneer in that it empirically reveals that managers’ individual adoption intention is distinct from their organisational implementation intention. Further, while managers’ innovativeness may be a significant determinant of their individual adoption intention towards BI systems, the issue of whether managers actually implement BI systems in their organisations is dominated by their involvement characteristics. Fruitful suggestions are proposed for practitioners and scholars.     

CRUDi framework proposal: financial industry application

The alignment of information systems with the business goals of an organisation, although a topic of great importance, is not always properly valued or taken into consideration. In general, managers have different opinions to chief information officers (CIOs) in relation to IS, especially with regard to their importance and value to the business and also in terms of investment needs. Here, we discuss and study new approaches to methods and tools for assessing the relative importance of each information system to business, focusing on the financial sector including banks and insurance companies. We suggest the introduction of new key indicators for better decision support and to identify investment priorities, and present results regarding the relative importance of each process to support the business strategy. The primary goal for the inherent research project is to analyse the main problems and difficulties encountered by IS and IT managers, featuring different players and how they relate. The main contributions of this work are the CRUDi framework as a tool to improve alignment between business and IS strategies and the CRUDi survey and its results qualifying the financial sector's opinion regarding the relative importance of processes and investments.     

熟料槽式输送机系统远程巡检的设计与应用

远程巡检是依托图像采集、网络通信、自动化、智能化等技术的持续进步，将视频监控、在线监测、智能巡检设备、智能化平台等多项技术，融入巡检作业流程中，实现对现场设备全方位、多维度远程监测。文章以南方某水泥厂熟料槽式输送机系统远程巡检为试点开展实践，利用远程巡检平台对现场设备精细掌控，现场巡检人员辅助监测核实，两种巡检模式互相印证、充分融合，初步形成了熟料槽式输送机系统远程巡检的新方法，也为水泥行业巡检工作提供了新的技术平台和管理思路。     

智能水滴算法研究

智能水滴算法是模拟自然界中河水与周围环境相互作用的过程而提出的一种智能计算方法。文章首先描述智能水滴算法的原理,然后综述智能水滴算法在多个研究领域的应用,最后对智能水滴算法进行总结与讨论。     

基于计算智能的电站锅炉燃烧优化控制

燃烧优化是提升电站锅炉效率降低污染物排放的有效途径;计算智能是目前实现燃烧过程建模及优化的重要手段.本文综述了各种计算智能算法在电站锅炉燃烧优化控制中研究成果,分别对其技术特点和不足进行了分析,并提出了燃烧优化技术的发展方向和前景,对从事该方面的研究人员有一定参考价值.     

多媒体在教学备课中的有效性研究

中小学新课改过程中,利用现代信息技术,搞好集体备课,使年轻老师和老教师拧成“一股绳”,建成优秀的教师团队,这样不同班级学生共享到优质的教育教学资源,学校的整体教育教学水平大幅度提升,实现教育公平和教育的均衡发展的。利用信息技术,搞好集体备课,打造好的教师团队,任重道远、我们每个人都责无旁贷。     

基于商业智能的小区日用水量预测模型研究

商业智能现在已广泛应用于各个领域,利用商业智能可以对趋势预测做出良好的支持,本文将其中一种常用商业智能的工具——数据仓库技术,应用于小区家庭的用水量预测研究。     

浅谈机器学习方法简

本文以什么是机器学习、机器学习的发展历史和机器学习的主要策略这一线索,对机器学习进行系统性的描述。接着,着重介绍了流形学习、李群机器学习和核机器学习三种新型的机器学习方法,为更好的研究机器学习提供了新的思路。     

基于分布式组态技术的沉淀罐界面远程智能测控系统

设计一种基于光电池的核废料沉淀罐沉淀界面位置检测装置,采用分布式组态PLC系统作为控制终端,继电器控制回路作为冗余控制系统.现场从站通过PROFIBUS总线与主站相连,PLC与上位机之间通过串口进行通信.信号在上位机服务器中实现了智能化标定.传感器的自校准大大减小了系统误差和环境误差对信号的影响,提高了系统的精度与稳定性.局域网内的Clients通过DataSocket获取数据,在用户界面上对现场情况进行模拟和监控.