The present study investigated the extent to which people can suppress unwanted autobiographical memories in a mock crime memory detection context. Participants encoded sensorimotor-rich memories by enacting a lab crime (stealing a ring) and received direct suppression instructions so as to evade guilt detection in a brainwave-based concealed information test. Aftereffects of suppression on aut...

Determination of the type and origin of biological samples found at crime scenes can provide important clues for crime scene reconstructions by supporting a link between sample donors and actual criminal acts. The presence of certain body fluids can be used as excellent indicators of the sequence of events which occurred. For example, blood stains can indicate some form of physical struggle, as...

Pattern detection is one of the essential challenges in crime mapping and analysis. Data mining can be used to explore crime detection problems. A cluster technique is an effective method for determining areas with high concentrations of localized events. Conversely, it remains a particularly demanding task to detect hotspots with mapping methods in view of the vulnerability connected with the ...

Facial expressions of emotion are key cues to deceit (Frank & Ekman, 1997). Given that the aging literature has shown an age-related decline in decoding emotions, we investigated whether a) there are age differences in deceit detection and b) if so, whether they are related to impairments in emotion recognition. Young and older adults (N = 364) were presented with 20 interviews (crime and opini...

The record stored in the brains of the witness and perpetrator is often a much more comprehensive account of the crime than what can be pieced together from connecting a few specific features of the crime scene with a few specific features of the perpetrator. This record has not been accessible to scrutiny. The stored record has the advantage of often providing by far the most comprehensive acc...

developmental crime prevention: legal and juridical analyses of iran and england niyoosha ghahramani afshar [1] ghodrat-allah khosroshahi [2] mohammad reza shadmanfar [3]   abstract in a crime policy based on scientific doctrines, how to deal with children and adolescents’ conflicts is different from the delinquencies committed by adults. detection of crime and deviance, and the attempts to red...

Through the boosting accessibility of spatial and temporal data in many research fields, spatial clustering and spatial outlier detection has received a group of concentration in the spatial data mining research. As a very famous method, the CLIQUE Optimization finds a region that deviates significantly from the entire spatial data set. In this paper, we introduce the novel problem of mining cr...

One of the more popular approaches for the detection of crime hot spots is cluster analysis. Implemented in a wide variety of software packages, including CrimeStat, SPSS, SAS, and SPLUS, cluster analysis can be an effective method for determining areas exhibiting elevated concentrations of crime. However, it remains a particularly challenging task to detect hot spots using clustering technique...

The majority of visual based surveillance applications and security systems heavily rely on object detection, which serves as a critical module. In the context crime scene analysis, images videos play an essential role in capturing documentation particular scene. By detecting objects associated with specific crime, police officers are able to reconstruct for subsequent analysis. Nevertheless, t...