刑事图像技术的应用与研究

刑事图像技术是刑事科学的重要组成部分：是检验、固定痕迹物证的一种方法。刑事图像的重大应用在于扩大人类的视野，显示肉眼看不到或看不清的重要细节，以便揭露和证实犯罪。     

Prevention and Mitigation Strategies to Address Recent Brittle Fractures in Steel Bridges

Brittle fracture results in unplanned loss of service, very costly repairs, concern regarding the future safety of the structure, and potential loss of life. These types of failures are most critical when there is no evidence of fatigue cracking leading up to the fracture and the fracture origin is concealed from view. Hence, the failure occurs without warning and the details are, essentially, noninspectable. In these cases, it appears desirable to take a proactive approach and introduce preventative retrofits to reduce the potential for future crack development. These efforts will help ensure that the likelihood of unexpected fractures is minimized. This paper examines the behavior of two bridge structures in which brittle fractures have developed in recent times, discusses the causes of the failures, and offers suggested design strategies for prevention and retrofit mitigation techniques. In situations where considerable uncertainty exists in the prediction of accumulated damage or in the ability to reliably inspect critical details, preemptive retrofit strategies appear to be highly desirable.     

Reliability-based failure cause assessment of collapsed bridge during construction

Until now, in many forensic reports, the failure cause assessments are usually carried out by a deterministic approach so far. However, it may be possible for the forensic investigation to lead to unreasonable results far from the real collapse scenario, because the deterministic approach does not systematically take into account any information on the uncertainties involved in the failures of structures.Reliability-based failure cause assessment (reliability-based forensic engineering) methodology is developed which can incorporate the uncertainties involved in structural failures and structures, and to apply them to the collapsed bridge in order to identify the most critical failure scenario and find the cause that triggered the bridge collapse. Moreover, to save the time and cost of evaluation, an algorithm of automated event tree analysis (ETA) is proposed and possible to automatically calculate the failure probabilities of the failure events and the occurrence probabilities of failure scenarios. Also, for reliability analysis, uncertainties are estimated more reasonably by using the Bayesian approach based on the experimental laboratory testing data in the forensic report. For the applicability, the proposed approach is applied to the Hang-ju Grand Bridge, which collapsed during construction, and compared with deterministic approach.     

An experimental study on the applicability of evolutionary algorithms to craniofacial superimposition in forensic identification

Photographic supra-projection is a forensic process that aims to identify a missing person from a photograph and a skull found. One of the crucial tasks throughout all this process is the craniofacial superimposition which tries to find a good fit between a 3D model of the skull and the 2D photo of the face. This photographic supra-projection stage is usually carried out manually by forensic anthropologists. It is thus very time consuming and presents several difficulties. In this paper, we aim to demonstrate that real-coded evolutionary algorithms are suitable approaches to tackle craniofacial superimposition. To do so, we first formulate this complex task in forensic identification as a numerical optimization problem. Then, we adapt three different evolutionary algorithms to solve it: two variants of a real-coded genetic algorithm and the state of the art evolution strategy CMA-ES. We also consider an existing binary-coded genetic algorithm as a baseline. Results on several superimposition problems of real-world identification cases solved by the Physical Anthropology lab at the University of Granada (Spain) are considered to test our proposals.     

新疆克拉玛依地区人群18个STR位点的遗传多态性

实验目的:研究18个短串联重复序列(Short Tandem Repeat,STR)位点(D5S818、D21S11、D7S820、CSF1PO、D2S1338、D3S1358、vWA、D8S1179、D16S539、Penta E、TPOX、TH01、D19S433、D18S51、FGA、D6S1043、D13S317、D12S391)在新疆克拉玛依地区人群中的基因频率分布。实验方法:采用PCR扩增及毛细管电泳技术对332名个体的18个STR基因座进行分析。实验结果:共检出213种等位基因,基因频率分布在0.002~0.536之间。18个STR基因型分布均符合Hardy-Weinberg平衡(P0.05),杂合度均不低于0.589,个人识别能力均不小于0.795,多态信息含量均不小于0.56,非父排除概率均不小于0.278。结论:本文研究了新疆克拉玛依地区人群18个STR位点的遗传多态性,为人类群体遗传学及法医学后续研究提供详实可靠的基础数据。     

集成电路知识产权司法鉴定——之商业秘密

本文所讨论的范围主要集中在与集成电路芯片技术相关的案件，这些与芯片技术相关的案件中涉及最多的是专利和商业秘密的问题。本文将对集成电路领域有关商业秘密类型案件的司法鉴定问题进行介绍和探讨。     

借助三色空间增强图像中指纹反差

如何部分地增强图像反差是刑事技术工作中最常遇到的难题之一。借助数字图像处理技术，可以根据像素值差异从原始图像提取感兴趣部分信息。本文讨论了这种基于像素值差异进行指纹背景分离的方法，可为指纹自动识别提供便利。     

Preparation of New Fibers on the Basis of Codeine Imprinted Polymer

A monolithic copolymer of methacrylic acid-ethylene glycol dimathacrylate as a fiber with 2 cm length and 0.3 mm diameter, containing codeine (CO) template was prepared through thermal radical co-polymerization procedure. This fiber is a robust recognition material capable of mimicking natural systems, combined with solid-phase micro-extraction (SPME) and gas chromatography/mass spectrometry for the extraction of trace CO from various street-drug samples. Effective experimental parameters such as Methacrylic Acid (MAA), Ethylene glycol dimethacrylate (EDMA), and CO proportions, nature, and dimension of mold, copolymerization time and temperature were optimized. Experimental studies such as scanning electron microscopy (SEM) reveal that highly homogenate fiber was achieved that can preciously be used for the above mentioned goals.     

Prediction of Individual Non-Linear Aging Trajectories of Faces

Represented in a Morphable Model, 3D faces follow curved trajectories in face space as they age. We present a novel algorithm that computes the individual aging trajectories for given faces, based on a non-linear function that assigns an age to each face vector. This function is learned from a database of 3D scans of teenagers and adults using support vector regression. To apply the aging prediction to images of faces, we reconstruct a 3D model from the input image, apply the aging transformation on both shape and texture, and then render the face back into the same image or into images of other individuals at the appropriate ages, for example images of older children. Among other applications, our system can help to find missing children.