This exploratory research is the first one among occupational information seeking behavior studies that focuses on information seeking behaviors of the crime scene investigators. The data used in this dissertation were gathered via a self-administrated survey instrument from 29 cities in Turkey. Findings obtained from the data analyses show that there is a strongly positive relationship between the experience of the crime scene investigators and the use of personal knowledge and experience as a primary information source (experience is operationalized with age, service years in policing, and service years in crime scene investigation units). The findings also suggest that increasing of the level of education is negatively related to relying on immediate colleagues as an information source among the crime scene investigators. These findings are consistent with related literature and theory. The data analysis shows that crime scene investigators work in cities with higher population rates have more complaint scores than those who work in cities with lower population rates across Turkey. The findings from the data analysis may suggest valuable implications to defeat the barriers between crime scene investigators and information sources. The researcher drew a proposed theoretical framework of an information behavior concept in the context of crime scene investigation that may help those who are interested in the phenomenon and its applications to other contexts.

The aim of the thesis is measuring a part of a Svratka’s meander by the means of the FARO focus 3D X 130 scanner and a total station. Another part of the thesis is creating 3D models from individual methods and their comparison. The acquired data is processed in the SCENE, Microstaion Power Draft V8 and Atlas DMT programmes. The accuracies of the scan registrations and the resulting differences among individual methods are evaluated.

Autonomous driving is the concept of a vehicle that operates in traffic without instructions from a driver. A major challenge for such a system is to provide a comprehensive, accurate and compact scene model based on information from sensors. For such a model to be comprehensive it must provide 3D position and semantics on relevant surroundings to enable a safe traffic behavior. Such a model creates a foundation for autonomous driving to make substantiated driving decisions. The model must be compact to enable efficient processing, allowing driving decisions to be made in real time. In this thesis rectangular objects (The Stixelworld) are used to represent the surroundings of a vehicle and provide a scene model. LIDAR and semantic segmentation are fused in the computation of these rectangles. This method indicates that a dense and compact scene model can be provided also from sparse LIDAR data by use of semantic segmentation. / Fullt självkörande fordon behöver inte förare. Ett sådant fordon behöver en precis, detaljerad och kompakt modell av omgivningen baserad på sensordata. Med detaljerad avses att modellen innefattar all information nödvändig för ett trafiksäkert beteende. Med kompakt avses att en snabb bearbetning kan göras av modellen så att fordonet i realtid kan fatta beslut och manövrera i trafiken. I denna uppsats tillämpas en metod där man med rektangulära objekt skapar en modell av omgivningen. Dessa beräknas från LIDAR och semantisk segmentering. Arbetet indikerar att med hjälp av semantisk segmentering kan en tät, detaljerad och kompakt modell göras även från glesa LIDAR-data.

This study sought to explore the significance of efficient murder crime scene processing. Data were collected through semi-structured interviews conducted with investigators who investigate murder cases in the Nyanga South African Police Service (SAPS) cluster in the Western Cape, to stimulate knowledge of the significance of efficient murder scene processing. A literature study relating to aspects of crime scene management and crime scene processing was conducted. From the results of this research, it appears that participants did realise the significance of efficient murder scene processing. It is, however, apparent that they experienced challenges and shortcomings with regard to efficiently processing murder scenes. Reasons for this are inexperienced investigators, overload of murder scenes to investigate, lack of human resources, and lack of cooperation between investigators and crime scene experts. The study makes recommendations that could assist the Nyanga SAPS cluster in improving the processing of murder scenes. / Police Practice / M. Tech. (Forensic Investigation)

No description available.

No description available.

The causes of errors in the angle of impact calculation were investigated including the surface type, falling velocity and the method used to fit an ellipse to a bloodstain. As had been cited previously the angle of impact was generally underestimated, especially at acute angles and the reason for this was determined to be due to an overestimation of the length of a bloodstain. The surface type was found to significantly affect the accuracy of an angle of impact calculation and as the falling velocity increased, the angle of impact calculation became more accurate. High-speed photography was used to further investigate the formation of bloodstains on surfaces. It was found that the formation of the bloodstain varied depending on the surface type and the angle of the surface. Bloodstain pattern analysis involves the application of scientific techniques to reconstruct events that resulted in a bloodstain pattern. The position of the blood source in three-dimensional space is a fundamental element of this application. Currently little is known about the methods used by bloodstain pattern analysts to select bloodstains when determining the region of origin. Fourteen analysts worldwide were surveyed in order to ascertain this information. It was found that the methods used were variable and were often not based on scientific research. Research was therefore undertaken into bloodstain selection and in particular, which bloodstains should be selected for a region of origin analysis. As a result of these experiments, two sets of selection criteria were established, one for use when the region of origin is being calculated manually and one for when directional analysis is being used.

O panorama das ciências forenses no Brasil poderia ser mais auspicioso. O aumento incontrolável das dissensões sociais e da criminalidade comum, o crescimento de facções do crime organizado, o surgimento de novas modalidades de delitos, os desastres de massa e o incremento de novas tecnologias são fatores que apontam no sentido de uma maior demanda por exames periciais e da crescente complexidade dos trabalhos relacionados com as ciências forenses. Paradoxalmente, a falta de investimentos públicos na área, os baixos salários, a ausência de perspectiva profissional e o acúmulo de serviço são alguns dos fatores que claramente influenciam na queda de qualidade do trabalho técnico. Não se publicam mais obras de Criminalística e Medicina Legal no país. As revistas especializadas são poucas e os cursos de Direito paulatinamente vão destinando cada vez menos espaço para aquelas que, ao lado da formação jurídica específica, deveriam ser as matérias principais na formação do bacharel, especialmente daqueles que militam na área penal. Além disso, e exatamente pela natureza técnica da matéria, poucos são os questionamentos que recaem sobre a cadeia de custódia ou sobre a validade das provas periciais apresentadas pelos organismos públicos encarregados da prevenção e da repressão criminal. Este trabalho pretende apresentar uma breve revisão dos dispositivos que regulamentam a prova pericial no sistema processual penal, recentemente alterados pela Lei n. 11.690, de 09/06/08, a estrutura da polícia científica e os procedimentos periciais de levantamento dos locais de interesse à Justiça Criminal, desde o momento que antecede à perícia até a entrega do relatório técnico, apontando seus limites, deficiências e qualidades. / The overview of forensic sciences in Brazil could be more auspicious. The uncontrollable raise of social disagreements and common criminality, the increase of organized crime factions, the appearance of new forms of crime, mass disasters and improvement of new technologies are factors which leads to a sense of higher demand for expert examinations and an increasing complexity of works related to forensic sciences. Paradoxically, the absence of public investment in the area, the low wages, the lack of professional perspectives and the accrual of workload are some of the factors that clearly influence the decline of quality of technical works. There are few new publications about Criminalistics and Legal Medicine in Brazil. The specialized journals are few and law schools are gradually giving less space for those which, like specific legal matters, should be the main ones in the training of new lawyers, especially those who work with criminal law. Besides that, and exactly because of the technical nature of the matter, few are the questions which fall upon the chain of custody or the validity of the expert evidence shown by the public organisms which are responsible for the criminal prevention and repression. This dissertation intends to present a brief review of the articles that regulate the expert evidence in the criminal procedural law, recently altered by Law nº 11.690 of 09/06/08, and the structure of forensic science and the expert procedures to gather places of interest to the Criminal Justice, from the moment preceding the expertise until the delivery of the technical report, pointing out its limitations, shortcomings and qualities.

This qualitative study aims to explore, from a cognitive perspective, the influence visuals have on conveying the game's narrative and how this engages the player. The focus being to further the understanding of how both visuals and narrative affect the overall experience. Motivated by the underrepresentation of visuals and narrative studies within game research. At the centre of the study is a thematic analysis of qualitative data collected from face to face interviews in a home and school environment, where players shared memorable moments experienced while playing a game. The interviews were complemented by data from popular forums, with the same focus. Helping the analysis of the data were cognitive theories into how our minds process and interpret information, an analysis which resulted in five main themes with corresponding code, which represented what appeared central for the creation of the memorable moment. There were, however, always more than one element within the game which provided and engaged the player in the narrative construction of the memorable moment, which served to highlight the importance of considering all aspects of the design, as all affected our meaning making. Central to engaging the player's narrative construction was the intrinsic motivation of curiosity, in tangent with our desire to learn. Exactly how different visuals elements affected the player's narrative construction did not become apparent during the analysis, as a fine line existed between what element provided for different memorable moments. Most notably was that all of the themes and codes could be tied back to engagement, as all of them served to engage the player's meaning making. A discovery that in turn, lead to the creation of a framework for future studies, which, while supported by cognitive theories, aims to enable the discovery of what and how different aspects engage the player in the experience. / Målet med denna kvalitativa studie är att, utifrån ett kognitivt perspektiv, utforska inflytande det visuella har på att förmedla spelets narrativ och hur detta engagerar spelaren i upplevelsen. Fokuset är att utveckla förståelsen för hur det visuella och narrativet påverkar den övergripande upplevelsen, vilket är motiverat av underrepresentationen av studier med fokus på det visuella och narrativet inom spelforskning. I centrum av studien är en tematisk analys av den kvalitativa data som samlats in från intervjuer i en hem och skolmiljö, där deltagarna delade minnesvärda stunder från när de spelade spel. Intervjuerna kompletterades med data från populära forum med samma fokus. Kognitiva teorier om hur man bearbetar och tolkar information, fick ge stöd till analysen av spelarnas meningsskapande som resulterade i fem huvudteman med motsvarande koder, som representerade det som framstod som det centrala i skapandet av de minnesvärda stunderna. Det fanns dock alltid mer än ett element i spelet som bidrog och engagerade spelaren i den narrativa konstruktionen av det minnesvärda ögonblicket, vilket lyfter fram vikten av att uppmärksamma alla aspekter av designen, eftersom alla påverkade meningsskapandet. Centralt för att engagera spelarnas narrativa konstruktion var vår inre motivation av nyfikenhet, i kombination med vår vilja att lära oss. Exakt hur de olika visuella elementen påverkade spelarens narrativa konstruktion framkom dock inte under analysen, eftersom gränsen mellan vilka element som bidrog med de olika minnesvärda stunderna, var hårfin. Det tydligaste exemplet av detta är att alla teman och koderna kunde knytas tillbaka till engagemang, eftersom alla bidrog till att engagera spelaren meningsskapande. En upptäckt som i sin tur ledde till skapandet av ett ramverk för framtida studier, som vars mål är, med stöd av kognitiva teorier, att möjliggöra upptäckten av hur de olika aspekterna engagerar spelaren i upplevelsen.

Analysis and visualization of dynamic scenes is often constrained by the amount of spatio-temporal information available from the environment. In most scenarios, we have to account for incomplete information and sparse motion data, requiring us to employ interpolation and approximation methods to fill for the missing information. Scattered data interpolation and approximation techniques have been widely used for solving the problem of completing surfaces and images with incomplete input data. We introduce approaches for such data interpolation and approximation from limited sensors, into the domain of analyzing and visualizing dynamic scenes. Data from dynamic scenes is subject to constraints due to the spatial layout of the scene and/or the configurations of video cameras in use. Such constraints include: (1) sparsely available cameras observing the scene, (2) limited field of view provided by the cameras in use, (3) incomplete motion at a specific moment, and (4) varying frame rates due to different exposures and resolutions. In this thesis, we establish these forms of incompleteness in the scene, as spatio-temporal uncertainties, and propose solutions for resolving the uncertainties by applying scattered data approximation into a spatio-temporal domain. The main contributions of this research are as follows: First, we provide an efficient framework to visualize large-scale dynamic scenes from distributed static videos. Second, we adopt Radial Basis Function (RBF) interpolation to the spatio-temporal domain to generate global motion tendency. The tendency, represented by a dense flow field, is used to optimally pan and tilt a video camera. Third, we propose a method to represent motion trajectories using stochastic vector fields. Gaussian Process Regression (GPR) is used to generate a dense vector field and the certainty of each vector in the field. The generated stochastic fields are used for recognizing motion patterns under varying frame-rate and incompleteness of the input videos. Fourth, we also show that the stochastic representation of vector field can also be used for modeling global tendency to detect the region of interests in dynamic scenes with camera motion. We evaluate and demonstrate our approaches in several applications for visualizing virtual cities, automating sports broadcasting, and recognizing traffic patterns in surveillance videos.