公安统计学教学中的实例教学法探讨

针对公安管理专业学生在学习公安统计学时普遍存在的抽象难懂、学而会用的状况，应用实例教学法可以较好地解决这一难题。这种方法既有利于培养学生阅读、理解、分析、判断统计数据的能力，又在一定程度上解决了统计学教学中长期存在的理论与实践相脱节的问题，还提高了学生的统计素养。     

专家辅助人出庭质证规则研究

现代科学技术的迅猛发展对司法审判产生了巨大的影响,各种科学问题、技术证据、鉴定意见呈现于法庭,法官在审判案件中由于知识和经验的局限性而难以判断,在此背景下专家辅助人制度应运而生。英美法系有专家证人制度,存在完善的以交叉询问为主的专家证人出庭质证规则,大陆法系国家和地区有诉讼辅助人制度,虽然立法中没有明确的出庭质证规则,但是有完善的鉴定人出庭质证规则。我国当前专家辅助人出庭质证规则没有明确的规定,但准用证人出庭质证规则。不过目前缺乏进一步的理论阐述,且简单直接适用也存在问题,同时缺乏系统的、具体的、具有可操作性的质证规则。对此笔者提出构建专家辅助人出庭质证规则的建议。     

Does price really converge among provinces in Canada？ A study using unit root tests for cross-sectional panels

This paper examines price convergences across different provinces in Canada using 1983-2006 data. We adopt the new panel unit root tests for analysis that can correct for cross-sectional correlation. Our findings are contrary to previous studies and we conclude that intra-national price convergence does not occur. We also briefly discuss the reasons for the absence of convergence within Canada.     

视盘RNFL厚度改变与视野缺损的关系

目的探讨视网膜神经纤维层厚度与视野的关系及其在司法鉴定中的应用。方法采用GDx VCC和Octopus自动视野计对外伤视神经病变52例进行检查。按照视野有效值分组(组1-重伤组,组2-轻伤组,组3-轻微伤及以下组),统计其平均RNFL厚度,对各组的RNFL厚度进行方差分析;同时对平均RNFL厚度与视野指数(MD、MS、sLV)、视野有效值进行相关性及回归分析。结果组1的RNFL平均值36.300±8.456 95μm,组2的RNFL平均值53.647 4±15.453 06μm,组3的RNFL平均值60.903 6±9.535 14μm。通过方差分析,组1~3各组间差异显著,各组两两相比较差异显著。平均RNFL厚度与视野有效值、MS呈正相关(r=0.543、0.400,P0.05),平均RNFL厚度与MD、sLV呈负相关(r=-0.450、-0.440,P0.05)。平均RNFL厚度与视野有效值、MD、MS、sLV的直线回归方程分别为Y=0.967X+19.508、Y=0.095X-10.858、Y=0.175X+9.187、Y=-0.205X+20.215;二次项方程分别为Y=-0.037X~2+5.208X-93.795、Y=0.010X~2-1.325X+50.111、Y=-0.008X~2+1.103X-15.606、Y=0.004X~2-0.520X+22.232。结论 RNFL厚度检测具有客观评定视野的法医学价值,有望成为评估视野的一种客观、形态学新方法。     

海峡两岸犯罪情报交流合作机制构想

海峡两岸交往日益频繁密切,互涉刑事犯罪问题也日趋严重.然而,两岸警方在共同打击违法犯罪方面尚未建立起有效的犯罪情报交流合作机制,严重制约了双方打击和惩处危害两岸人民利益的跨境犯罪活动的效能.两岸警方要立足现实条件,本着"一个中国"、平等协商、互信互惠、相互尊重等基本原则,加强犯罪情报交流合作机制建设,进一步明确刑事犯罪...     

Pilot Study of Automated Bullet Signature Identification Based on Topography Measurements and Correlations*†

Abstract: A procedure for automated bullet signature identification is described based on topography measurements using confocal microscopy and correlation calculation. Automated search and retrieval systems are widely used for comparison of firearms evidence. In this study, 48 bullets fired from six different barrel manufacturers are classified into different groups based on the width class characteristic for each land engraved area of the bullets. Then the cross‐correlation function is applied both for automatic selection of the effective correlation area, and for the extraction of a 2D bullet profile signature. Based on the cross‐correlation maximum values, a list of top ranking candidates against a ballistics signature database of bullets fired from the same model firearm is developed. The correlation results show a 9.3% higher accuracy rate compared with a currently used commercial system based on optical reflection. This suggests that correlation results can be improved using the sequence of methods described here.     

A Prototype of Mathematical Treatment of Pen Pressure Data for Signature Verification

A prototype using simple mathematical treatment of the pen pressure data recorded by a digital pen movement recording device was derived. In this study, a total of 48 sets of signature and initial specimens were collected. Pearson's correlation coefficient was used to compare the data of the pen pressure patterns. From the 820 pair comparisons of the 48 sets of genuine signatures, a high degree of matching was found in which 95.4% (782 pairs) and 80% (656 pairs) had rPA > 0.7 and rPA > 0.8, respectively. In the comparison of the 23 forged signatures with their corresponding control signatures, 20 of them (89.2% of pairs) had rPA values < 0.6, showing a lower degree of matching when compared with the results of the genuine signatures. The prototype could be used as a complementary technique to improve the objectivity of signature examination and also has a good potential to be developed as a tool for automated signature identification.     

Individual Camera Identification Using Correlation of Fixed Pattern Noise in Image Sensors

Abstract:  This paper presents results of experiments related to individual video camera identification using a correlation coefficient of fixed pattern noise (FPN) in image sensors. Five color charge-coupled device (CCD) modules of the same brand were examined. Images were captured using a 12-bit monochrome video capture board and stored in a personal computer. For each module, 100 frames were captured. They were integrated to obtain FPN. The results show that a specific CCD module was distinguished among the five modules by analyzing the normalized correlation coefficient. The temporal change of the correlation coefficient during several days had only a negligible effect on identifying the modules. Furthermore, a positive relation was found between the correlation coefficient of the same modules and the number of frames that were used for image integration. Consequently, precise individual camera identification is enhanced by acquisition of as many frames as possible.