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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
11

Personal description : an investigation technique to identify suspects

Sefanyetso, Justice Thabang 11 1900 (has links)
This study investigates the use of personal description as an investigation technique to identify suspects. The study entails qualitative data obtained from interviews with investigators, literature, as well as case studies. The study found that personal description can be used as an investigation technique to identify suspects. There are eight techniques that the investigator should apply in order to identify suspects or perpetrators of a criminal act. To conduct effective investigation, it is important for the criminal investigators to be familiar with the techniques of identification and the application thereof. The description of offenders plays an important role as far as arresting offenders is concerned. The methods used - or to be used - by investigators to describe a person were also discussed. It is important that the investigators should work with other government departments, private investigators and security officials, to implement this technique in order to identify and arrest offenders. / Police Practice / (M. Tech (Forensic Investigation))
12

Sociala identitetsperspektiv på revisorers oberoende

Söderström, Sabina, Indal, Anna January 2015 (has links)
Syfte: Debatten kring revisorers oberoende har pågått länge. Idag är frågan om revisorers oberoende en av de viktigaste frågorna inom redovisning vilket delvis beror på de företagsskandaler som inträffat under senare år. Tidigare studier visar att sociala identifikationer kan utvecklas vid nära relationer vilket både kan ha en positiv och en negativ påverkan på revisorers oberoende. För att utvidga tidigare studier har vi lagt till personlig identifikation för att studera detta på individnivå. Vi har även valt att lägga till en faktor, det karismatiska ledarskapet, för att undersöka om detta påverkar samtliga identifikationer. Studien syftar till att undersöka om klientidentifikation, personlig och professionell identifikation påverkas av ett karismatiskt ledarskap och om dessa identifikationer i sin tur har en påverkan på revisorers oberoende. Metod: Vi har i studien använt oss av enkäter som metod för att samla in primärdata. Data samlades in från auktoriserade och godkända revisorer runtom i Sverige. Insamlad data har sedan bearbetats och analyserats med hjälp av statistikprogrammet SPSS statistics. Resultaten från de statistiska analyserna har sedan redovisats i olika tabeller. Resultat och slutsats: Studiens resultat visade att ett karismatiskt ledarskap har en påverkan på samtliga identifikationer, dock var denna påverkan relativt svag, vilket innebär att det är många andra faktorer som ökar identifikationerna. Vidare visade resultatet att personlig identifikation kan innebära ett större hot mot revisorers oberoende än klientidentifikation. Förslag till fortsatt forskning: För att få mer djup i studien och för att få fram respondenternas egna tankar och åsikter skulle en kvalitativt inriktad studie, med intervjuer som datainsamlingsmetod kunna genomföras. Ytterligare förslag till forskning skulle kunna vara att undersöka andra faktorer som kan tänkas påverka olika identifikationer. Uppsatsens bidrag: Uppsatsen bidrar till fortsatt forskning inom revisorers icke-finansiella beroende, genom att vi undersöker problemet ur ett socialt identitetsperspektiv. Vidare bidrar studien med kunskap om faktorer som påverkar sociala identiteter. / Aim: The debate about the auditor independence has been going on for a long time. Today is the issue of auditor independence one of the most important in accounting which depends on several corporate scandals that have occurred in recent years. Previous studies shows that close relationships explicate social identifications which can have a positive and a negative impact on auditor independence. We have added personal identification in our study at the individual level to expand previous studies. We have also added the charismatic leadership as a factor to investigate whether this affect identifications. The study aims to investigate whether the client identification, personal and professional identification is affected by a charismatic leadership and whether these identifications has an impact on auditor independence. Method: In our study we have used surveys as a method to collect primary data. Data were collected from Swedish authorized and approved auditors. The collected data where then processed and analyzed by the statistical program SPSS statistics. The results of the statistical analyzes are then presented in different tables. Result and conclusions: The results of the study showed that charismatic leadership has an impact on all identifications, however, this effect is relatively weak, which means that there are many other factors that increase these identifications. Furthermore, the result also showed that personal identification can be a greater threat to auditor independence than client identification. Suggestions for future research: To obtain the respondents' own thoughts and opinions, a qualitative focused study with interviews as a data collection method could be implemented. Further implications could be to examine other factors that may affect different identifications. Contribution of the thesis: The study contributes for further research about the auditors' non-financial dependence, in which we examine the problem from a social identity perspective. Furthermore, the study can provide knowledge of the factors that affecting social identities.
13

Personal description : an investigation technique to identify suspects

Sefanyetso, Justice Thabang 11 1900 (has links)
This study investigates the use of personal description as an investigation technique to identify suspects. The study entails qualitative data obtained from interviews with investigators, literature, as well as case studies. The study found that personal description can be used as an investigation technique to identify suspects. There are eight techniques that the investigator should apply in order to identify suspects or perpetrators of a criminal act. To conduct effective investigation, it is important for the criminal investigators to be familiar with the techniques of identification and the application thereof. The description of offenders plays an important role as far as arresting offenders is concerned. The methods used - or to be used - by investigators to describe a person were also discussed. It is important that the investigators should work with other government departments, private investigators and security officials, to implement this technique in order to identify and arrest offenders. / Police Practice / (M. Tech (Forensic Investigation))
14

A Hybrid Multibiometric System for Personal Identification Based on Face and Iris Traits. The Development of an automated computer system for the identification of humans by integrating facial and iris features using Localization, Feature Extraction, Handcrafted and Deep learning Techniques.

Nassar, Alaa S.N. January 2018 (has links)
Multimodal biometric systems have been widely applied in many real-world applications due to its ability to deal with a number of significant limitations of unimodal biometric systems, including sensitivity to noise, population coverage, intra-class variability, non-universality, and vulnerability to spoofing. This PhD thesis is focused on the combination of both the face and the left and right irises, in a unified hybrid multimodal biometric identification system using different fusion approaches at the score and rank level. Firstly, the facial features are extracted using a novel multimodal local feature extraction approach, termed as the Curvelet-Fractal approach, which based on merging the advantages of the Curvelet transform with Fractal dimension. Secondly, a novel framework based on merging the advantages of the local handcrafted feature descriptors with the deep learning approaches is proposed, Multimodal Deep Face Recognition (MDFR) framework, to address the face recognition problem in unconstrained conditions. Thirdly, an efficient deep learning system is employed, termed as IrisConvNet, whose architecture is based on a combination of Convolutional Neural Network (CNN) and Softmax classifier to extract discriminative features from an iris image. Finally, The performance of the unimodal and multimodal systems has been evaluated by conducting a number of extensive experiments on large-scale unimodal databases: FERET, CAS-PEAL-R1, LFW, CASIA-Iris-V1, CASIA-Iris-V3 Interval, MMU1 and IITD and MMU1, and SDUMLA-HMT multimodal dataset. The results obtained have demonstrated the superiority of the proposed systems compared to the previous works by achieving new state-of-the-art recognition rates on all the employed datasets with less time required to recognize the person’s identity.Multimodal biometric systems have been widely applied in many real-world applications due to its ability to deal with a number of significant limitations of unimodal biometric systems, including sensitivity to noise, population coverage, intra-class variability, non-universality, and vulnerability to spoofing. This PhD thesis is focused on the combination of both the face and the left and right irises, in a unified hybrid multimodal biometric identification system using different fusion approaches at the score and rank level. Firstly, the facial features are extracted using a novel multimodal local feature extraction approach, termed as the Curvelet-Fractal approach, which based on merging the advantages of the Curvelet transform with Fractal dimension. Secondly, a novel framework based on merging the advantages of the local handcrafted feature descriptors with the deep learning approaches is proposed, Multimodal Deep Face Recognition (MDFR) framework, to address the face recognition problem in unconstrained conditions. Thirdly, an efficient deep learning system is employed, termed as IrisConvNet, whose architecture is based on a combination of Convolutional Neural Network (CNN) and Softmax classifier to extract discriminative features from an iris image. Finally, The performance of the unimodal and multimodal systems has been evaluated by conducting a number of extensive experiments on large-scale unimodal databases: FERET, CAS-PEAL-R1, LFW, CASIA-Iris-V1, CASIA-Iris-V3 Interval, MMU1 and IITD and MMU1, and SDUMLA-HMT multimodal dataset. The results obtained have demonstrated the superiority of the proposed systems compared to the previous works by achieving new state-of-the-art recognition rates on all the employed datasets with less time required to recognize the person’s identity. / Higher Committee for Education Development in Iraq
15

Consequences of Coworker Bullying: A Bystander Perspective

Medina, Michele N. 05 1900 (has links)
Previous research on workplace bullying primarily focuses on two main actors – the bully and the victim – while neglecting a third actor: the bystander of the bullying. The prevalence of workplace bullying is increasing across organizations, resulting in more employees becoming subjected to the effects of workplace bullying. Furthermore, witnessing coworker-on-coworker bullying is likely to influence the relationships that the bystander has with the two coworkers involved in the bullying episode. Two areas are proposed to investigate their effect on the coworker bystander: coworker interpersonal justice and personal identification with coworkers. Coworker interpersonal justice involves the perceived fairness between coworkers, while personal identification refers to how these bystanders identify with the specific actors of the bullying event. In addition to work-related outcomes, bystanders are affected at a personal level. That is, being exposed to bullying situations causes these bystanders to alter their anxiety levels and their core affect, with core affect being a precursor to moods and emotions. In addition to the aforementioned outcomes of witnessing a coworker bullying incident, there are also contextual aspects which may influence these relationships. Personal-level factors, such as a bystander's empathy and sense of coherence (i.e., coping mechanisms), may influence the effect of witnessing a coworker being bullied. Similarly, the gender of the victim in relation to the gender of the bystander may also play a role. Using affective events theory, I investigate how witnessing coworker bullying in the workplace effects bystanders. This research employs a 2 x 2 experimental design with multi-wave data collection and an in-person lab session to test the proposed hypotheses. AET is operationalized by creating a fictional coworker bullying situation in which observers are either exposed to the bullying situation or not. This research offers several contributions to the management literature as well as to practitioners. First, it extends current workplace bullying literature to incorporate the effect of peer-on-peer bullying, as well as investigating the influence of bystander and victim gender. The second contribution is the creation and testing of scales for coworker interpersonal justice, personal identification with coworkers, and observation of coworker bullying. The third contribution involves developing a more thorough understanding of the outcomes of coworker bullying on bystanders by employing an experimental approach. Fruitful areas of future research regarding coworker bullying, coworker interpersonal justice, and personal identification are discussed.

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