A new approach for inner-knuckle-print recognition

ObjectiveThis paper proposed a new approach for inner-knuckle-print (IKP) recognition. In traditional IKP recognition systems, the region of interest (ROI) is extracted from the image of the whole hand and the directions of the fingers being imaged are not restricted. The result maybe incorrect because that the shape and surface of the fingers may vary greatly. Moreover, if the direction of the finger being imaged is not restricted, there may be severe rotation transform between intra-class IKPs. To overcome these drawbacks, we develop a new data acquisition scheme as well as an efficient personal authentication algorithm.MethodsThe new scheme is designed to capture the image of the inner surface of the middle knuckles of the middle and ring fingers. The fingers being imaged are kept horizontal with two pegs, so that the rotation angle between different images obtained from the same hand can be minimized. The new personal authentication algorithm consists of the next four steps. Firstly, two regions of interest (ROI), each of which contains the inner surface of a knuckle, are cropped from the original image. Secondly, line features are extracted from the ROIs based on the combination of Gabor filtering and derivative line detection method. Then, binary line images are matched by using a cross-correlation-based method. Finally, the input data is classified through score level fusion.ResultsTo evaluate the proposed IKP recognition system, a finger image database which includes 2000 images from 100 volunteers is established. The images are captured on two separate occasions, at an interval of around two months. Most of the volunteers are not familiar with the image acquisition process. The experimental results show that the proposed system achieves high recognition rate and it works in real time. Moreover, the proposed line feature extraction method outperforms traditional Gabor filter based line detection method and derivative line detection method in accuracy.ConclusionThe proposed IKP system is robust and accurate. It may promote the application and popularization of IKP recognition.     

A quantitative feedback solution to the multivariable tracking error problem

This paper introduces a novel solution for the multi‐input multi‐output (MIMO) quantitative feedback theory control design problem with tracking error specifications. Looking for a minimum controller overdesign, the technique finds new controller quantitative feedback theory bounds based on necessary and sufficient conditions for the existence of suitable associated prefilter matrix elements. It improves previous approaches to the subject and includes (i) the possibility of a free selection of the nominal plant, (ii) a less conservative application of the Schwartz inequality to decisively reduce the potential controller overdesign, (iii) a methodology to design independently the elements of the prefilter matrix, and (iv) a scope of application to both sequential and nonsequential MIMO controller design methods. The benefits of the new control design technique are illustrated by means of two examples. The first one, a standard 2 × 2 MIMO problem, is provided for comparison purposes with previous approaches. The second example, included as a major control challenge, deals with a well‐known demanding distillation column benchmark problem. Copyright © 2013 John Wiley & Sons, Ltd.     

声频谱测井仪器的研制和野外实验

研制成功的声频谱测井仪器在井下发射和接收三种频率的声波信号,其中发射和接收20kHz声波信号的声系有一个发射和四个接收探头,源距为2．1～2．568m,间距为0．156m;发射和接收40kHz声波信号的声系由一个发射和两个接收探头组成,源距1．0—1．5m,间距0．5m;发射和接收10kHz声波信号的声系由一个发射和两个接收探头组成,源距为2．168—2．668m,间距0．5m．用三种不同的频率的声波进行测量记录目的是获得井壁径向深度不同处介质的声学信息,而且不同频率的声波信号在岩石中传播过程中频谱变化也是井壁岩层的可用声学信息．在井下的信息采集、数据传输、地面记录和监控全部由计算机控制．该仪器已经在大庆油田的三口井中成功的进行了野外实验．     

人力资本约束下区域主导产业选择方法

为了合理的确立区域主导产业,制定符合区域一级发展模式的主导产业选择基准和相应指标,提出了区域主导产业选择的人力资本匹配基准,给出了相应指标的计算方法.实证结果表明:尽管中国的劳动力资源非常丰富,但整体的人力资本水平却依然很低,同时人力资本分配非常不平均,劳动力过剩和人力资本不足的结构性矛盾日益突出.考虑到中国各区域人力资本分配的地域差距,区域一方面应大力进行人力资本积累,改善人力资本现状,另一方面,正视区域人力资本现状的现实,在区域主导产业选择时理性抉择,才能实现人力资本积累与产业结构升级的同步和有效互动.     

异构多核处理器的任务分配及能耗的研究*

异构多核处理器采用不同的任务分配与调度算法,会导致不同的时间消耗与能量消耗,采用合适的任务分配与调度算法能节省较多的能耗。目前普遍认为最有发展前途的任务分配与调度技术是先用启发式方法进行分组,然后再用遗传算法进行调度。在改进任务分组后,又首次提出了用遗传算法解决能耗问题。实验结果表明在实时要求不高的情况下,能以较小的时间代价来节省较多的能耗。     

声参数的高性能混凝土强度推定模型

为研究高性能混凝土的声波传播特性及实现其强度的快速、准确、无损检测,基于超声波检测方法,应用嫩江、多宝山附近的沙石料,对高性能混凝土对声波的扩散性及其抗压性能与声参量之间的模型关系进行了研究.建立了高性能混凝土抗压强度与声速之间的多种数学模型.通过实测检测数据进行验证,满足精度要求.高性能混凝土的非均质性降低,其抗压强度与声速相关性较好,用超声的方法完全可以实现强度的快速推定.同时,也为将来高性能混凝土地区强度推定曲线的建立奠定了研究基础.     

多途信道中声屏蔽及声聚焦

针对传统阵处理无法分辨同一方向上2个点源的缺陷,提出了多途信道中声屏蔽技术.将声屏蔽技术应用于抗拖船干扰,把拖曳线列阵接收的拖船干扰和同方向的目标信号在频域通过一个屏蔽、聚焦权滤波器,在对干扰屏蔽的同时,对目标聚焦.仿真结果表明,干扰源的辐射噪声被显著抑制,而所期望的目标信号清晰可见,其输出相干信噪比大幅度提高,该技术在抑制拖船干扰的同时可以有效消除在该方向的探测盲区.     

差动放大电路共模干扰抑制能力的研究

电磁流量计输出的流速信号非常微弱,且常叠加共模干扰,经信号调理电路放大后,会导致信噪比很低,甚至淹没有用信号．针对这问题提出了利用前置放大电路有效抑制共模干扰,对其进行定性、定量分析,给出实际可行的提高差动放大电路输入阻抗的设计,并进行分析、推导和对比计算,证明其可以很大限度抑制共模干扰,提高测量准确度．     

混合匹配规则的否定选择算法

针对目前基于免疫的检测器生成算法中,匹配规则单一造成的检测器质量低下的问题,提出一种基于混合匹配规则的否定选择算法,采用海明距离整体匹配的各段内R连续比特匹配的否定选择算法,即混合匹配否定选择算法,对算法的性能进行了分析．实验结果表明,该算法能够高效地产生所需要的检测器,提高了检测率,且降低了误报率．