Intelligent digital image firewall system for filtering privacy or sensitive images

As the commonest part of social networks, sharing images in social network not only provides more information, but also gives more intuitive view than text. However, images also can leak out information more easily than text, so the audit of image content is particularly essential. The disclosure of a tiny image, which involves sensitive information about individual, society even the state, may trigger a series of serious problems. In this paper, we design a kind of intelligent image firewall to detect and filter sensitive or privacy images. Two different approaches of the firewall are proposed. In the first approach, we propose an image firewall based on joint sparse representation, which can provide accurate and robust privacy prediction, and also can provide rich spatial relationship information. In the second approach, we propose a method based on the deep learning (Faster RCNN), which can predict the privacy relationships or actions (like kiss, hug and hand in hand) among the persons of an image. Experimental results show the effectiveness of the two kinds of approaches.     

Feature selection using Ant Colony Optimization (ACO) and Road Sign Detection and Recognition (RSDR) system

Road Sign Detection and Recognition (RSDR) is aimed to enable drivers maintain basic functionality with the aim of identifying and notifying driver through the existing restrictions so that the process is a success on the present widened road. Examples for RSDR include ‘traffic light ahead’ or ‘pedestrian crossing’ signs. An innovative RSDR system has been introduced which comprises of pre-processing, edge detection, feature extraction, features selection and Ensemble Fuzzy Support Vector Machine (EFSVM) classifier. Feature selection is carried out successfully by deployment of Ant Colony Optimization (ACO) algorithm to determine most prominent and definitive features. These features are then fed into the ensemble SVM to enable both road side traffic detection as well as recognition. Suggested system’s performance is analyzed and evaluated with respect to road signs having a capable recognition rate.     

Linking property crime using offender crime scene behaviour: A comparison of methods

This study compared the ability of seven statistical models to distinguish between linked and unlinked crimes. The seven models utilised geographical, temporal, and modus operandi information relating to residential burglaries (n = 180), commercial robberies, (n = 118), and car thefts (n = 376). Model performance was assessed using receiver operating characteristic analysis and by examining the success with which the seven models could successfully prioritise linked over unlinked crimes. The regression‐based and probabilistic models achieved comparable accuracy and were generally more accurate than the tree‐based models tested in this study. The Logistic algorithm achieved the highest area under the curve (AUC) for residential burglary (AUC = 0.903) and commercial robbery (AUC = 0.830) and the SimpleLogistic algorithm achieving the highest for car theft (AUC = 0.820). The findings also indicated that discrimination accuracy is maximised (in some situations) if behavioural domains are utilised rather than individual crime scene behaviours and that the AUC should not be used as the sole measure of accuracy in behavioural crime linkage research.     

Reliability of measures of work engagement and psychological well-being among South African state security forces

This study reports on the psychometric properties of measures of work engagement and psychological well-being in the South African state security forces. The research sample consisted of a combined sample of 178 soldiers and 57 police officers (34% females). They completed a battery of measures of work engagement and psychological well-being. Results following exploratory and reliability analysis suggest the scores from the measures to be reliable for research use with the South African security services.     

Suspects' consistency in statements concerning two events when different question formats are used

Lie detection research has typically focused on reports about a single event. However, in many forensic and security contexts, suspects are likely to report on several events, some of them may be untruthful. This presents interviewers with the challenge of detecting which reports are true and which are not. Varying question format in a second interview, we examined differences in liars' and truth‐tellers' statement consistency about two events. One hundred and fifty participants viewed a meeting in which a noncritical and a critical event were discussed. Truth‐tellers were instructed to be honest in their reports about both events, whereas liars had to lie about the critical event. In the first interview, all participants provided a free recall account. In a second interview, participants either gave another free recall account or responded to specific questions presented sequentially (concerning one event at a time) or nonsequentially (concerning both events simultaneously). Liars' accounts featured fewer repetitions than truth‐tellers for both events, particularly in response to questions presented in nonsequential order. The implications for the use of this question format are discussed.     

Stereotype-based faultlines and out-group derogation in diverse teams: The moderating roles of task stereotypicality and need for cognition

Alignment of individuals on more than one diversity attribute (i.e., faultlines) may lead to intergroup biases in teams, disrupting the efficiency expectancies. Research has yet to examine if this can be a consequence of a stereotypical consistency between social and information attributes of diversity. The present study tests the hypothesis that, in a team with a stereotype-based faultline (a stereotypical consistency between gender and skills), there is increased out-group derogation compared to a team with a stereotype-inconsistent faultline. Furthermore, the study proposes that tasks can activate stereotypes, and the need for cognition dictates whether stereotypes are applied. The findings confirm the hypothesis and additionally provide evidence that tasks that activate gender stereotypes emphasize out-group derogation, especially for team members with low need for cognition.     

Estimating Between-Person and Within-Person Subscore Reliability with Profile Analysis

Subscores are of increasing interest in educational and psychological testing due to their diagnostic function for evaluating examinees' strengths and weaknesses within particular domains of knowledge. Previous studies about the utility of subscores have mostly focused on the overall reliability of individual subscores and ignored the fact that subscores should be distinct and have added value over the total score. This study introduces a profile reliability approach that partitions the overall subscore reliability into within-person and between-person subscore reliability. The estimation of between-person reliability and within-person reliability coefficients is demonstrated using subscores from number-correct scoring, unidimensional and multidimensional item response theory scoring, and augmented scoring approaches via a simulation study and a real data study. The effects of various testing conditions, such as subtest length, correlations among subscores, and the number of subtests, are examined. Results indicate that there is a substantial trade-off between within-person and between-person reliability of subscores. Profile reliability coefficients can be useful in determining the extent to which subscores provide distinct and reliable information under various testing conditions.     

The design of the MBT‐G adherence and quality scale

Few group psychotherapy studies focus on therapists' interventions, and instruments that can measure group psychotherapy treatment fidelity are scarce. The aim of the present study was to evaluate the reliability of the Mentalization‐based Group Therapy Adherence and Quality Scale (MBT‐G‐AQS), which is a 19‐item scale developed to measure adherence and quality in mentalization‐based group therapy (MBT‐G). Eight MBT groups and eight psychodynamic groups (a total of 16 videotaped therapy sessions) were rated independently by five raters. All groups were long‐term, outpatient psychotherapy groups with 1.5 hours weekly sessions. Data were analysed by a Generalizability Study (G‐study and D‐study). The generalizability models included analyses of reliability for different numbers of raters. The global (overall) ratings for adherence and quality showed high to excellent reliability for all numbers of raters (the reliability by use of five raters was 0.97 for adherence and 0.96 for quality). The mean reliability for all 19 items for a single rater was 0.57 (item range 0.26–0.86) for adherence, and 0.62 (item range 0.26–0.83) for quality. The reliability for two raters obtained mean absolute G‐coefficients on 0.71 (item range 0.41–0.92 for the different items) for adherence and 0.76 (item range 0.42–0.91) for quality. With all five raters the mean absolute G‐coefficient for adherence was 0.86 (item range 0.63–0.97) and 0.88 for quality (item range 0.64–0.96). The study demonstrates high reliability of ratings of MBT‐G‐AQS. In models differentiating between different numbers of raters, reliability was particularly high when including several raters, but was also acceptable for two raters. For practical purposes, the MBT‐G‐AQS can be used for training, supervision and psychotherapy research.     

Reminiscence functions over time: consistency of self functions and variation of prosocial functions

The current study examines the temporal stability of the tripartite model of reminiscence functions in which eight separate reminiscence functions map onto three second-order factors which contribute significantly to measurement of an overarching reminiscence latent construct. We collected online responses from 411 adults 50+ years of age. Confirmatory factor analytic models were computed at three points of data collection over 16 months. Invariance analyses were next undertaken to simultaneously compare the measurement properties to assess within-person stability of reminiscence functions over time. The tripartite structure of reminiscence functions was replicated at each point of data collection. As hypothesised, self-positive and self-negative functions are consistent across points of data collection, whereas prosocial functions vary over time. The temporal stability of the self functions may be attributed to enduring characteristics of the individual such as personality traits and life attitudes, as well as their solitary nature. Previous research indicates that consistency of self-positive reminiscence functions has ensuing benefits for physical health and psychological well-being; the opposite is true for self-negative functions. The temporal variation of prosocial functions may be due to the varying availability of others to share memories and their responsiveness to the emotional context.