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This presentation was given at the 2011 Open Access Week program, “The Future of Data: Open Access and Reproducibility” on October 25, 2011. Open Access Week is a world-wide event where academic institutions explore Open Access – the ideal of free, full-text, immediate, online access to peer-reviewed scholarship and research results so new ideas and information can be obtained rapidly and freely by everyone. Open Data is the idea that data should be freely available to anyone to use and reuse without access restrictions, licenses, copyright, patents and charges for use.

Practical applications of computers in archaeological study has been employed by archaeologists for more than fifteen years. However, it is still in its infancy. Having had background in both archaeological and computer science fields, the author is interested in knowing how much work has been done on this topic.There are three approaches for this research: literature review, questionnaire analysis, and the author's own practical applications.The author will first analyze the results of the questionnaire, then he will describe some general computer applications to archaeology other than the data bank, including some real computer applications for the data from two sites of Central Taiwan excavated by the author some five years ago. Third, a variety of data banks will be described. Fourth, problems in computer application in archaeological study will be identified. Fifth, future trends in computer archaeology will be predicated. Finally, he will draw his conclusions.Ball State UniversityMuncie, IN 47306

The search for archaeological materials dating to 15,000 yr BP along the southern Oregon coast is a formidable task. Using ethnographic, theoretical, and archaeological data, landscape resources which would have influenced land-use and occupation location decisions in the past are highlighted. Additionally, environmental data pertaining to the late Pleistocene is examined to determine what landscape features may have been used by human groups 15,000 years ago and to determine how these landscape features may have changed since that time. These landscape resource features are included in the modeling project as independent variables. The dependent variable in this modeling project is relative probability that an area will contain archaeological materials dating to the time period of interest. Two predictive locational models are created to facilitate the search process. These models mathematically combine the independent variables using two separate approaches. The hierarchical decision rule model approach assumes that decision makers in the past would have viewed landscape features sequentially rather than simultaneously. The additive, or weighted-value, approach assumes that a number of conditional preference aspects were evaluated simultaneously and that different environmental variables had varying amounts of influence on the locational choices of prehistoric peoples. Integration of the data and mathematical model structures into a Geographic Information System (GIS) allows for spatial analysis of the landscape and the prediction of locations most likely to contain evidence of human activity dating to 15,000 years ago. The process involved with variable integration into the GIS is delineated and results of the modeling procedures are presented in spatial, map-based formats. / Graduation date: 2002

No description available.

There is no abstract available for this thesis. / Department of Anthropology

The heart of this dissertation is the SCAPULA Information Retrieval System, used to create, maintain, and retrieve coded archaeological data for the Upper Wabash Drainage at the Archaeology Laboratory of Ball State University.Several existing archaeological data banks were surveyed and classified at first, and different file organizations, computer software and hardware were reviewed next using as a major criterion the needs of archaeologists at Ball State in order to determine the characteristics of the SCAPULA System.The encoding instructions and retrieval keywords are illustrated and listed, while the functions of the SCAPULA are introduced. With its straightforward query instructions and examples, the SCAPULA Information Retrieval System, a relational data bank, is very easy to use.The present study sought to examine the impact of victim-observer similarity, victim physical attractiveness, outcome severity and sex of respondent on responsibility attributions made toward a rape victim. Perceived attitudinal similarity, victim physical attractiveness, and outcome severity were experimentally varied. In addition this study sought to further examine sex differences, which prior research has indicated may influence how a rape victim is perceived.A modified version of Alexander's (1980) scale was used to measure the degree of responsibility attributed to the victim, to the assailant, to society and to chance in each condition. A research design was developed using two levels of each of the four factors.The experiment was conducted during regular class periods. The population consisted of 198 male and female undergraduate students. Prior to the actual experiment, Ss were randomly assigned to review an attitude questionnaire (supposedly completed by the victim), which was either similar or dissimilar to one completed previously by themselves. The attitude survey used in this study was the Important Issues Questionnaire (Novak & Lerner, 1968). The study was conducted such that Ss perceived the victim to be either like or unlike themselves in basic attitudes. Ss were then asked to view a videotape in which a sexual assault victim was interviewed. The victim was actually an actress who read a prepared script. Outcome severity was varied by the use of written vignettes and by the victim's (actress's) narration of either having suffered an attempted rape or a rape with physical injuries. Physical attractiveness was varied by the use of cosmetics and dress. Ss were tested in groups. Each group saw only one of the four videotapes. Ss were debriefed following the experiment.The study was designed to answer the following research questions:1. Would Ss make significantly different responsibility attributions toward a victim they perceived as similar to themselves than toward a victim they perceived as dissimilar to themselves?2. Would Ss make significantly different responsibility attributions toward a victim who suffered a non-severe outcome than toward a victim who suffered a severe outcome?3. Would male Ss make significantly different attributions of responsibility toward a physically attractive victim than toward a physically unattractive victim?4. Would the respondent's sex significantly affect the degree of responsibility attributed to the victim?A 2x2x2x2 multivariate analysis of variance was used to test the four research hypothesis. Significance was considered at an alpha level of .05.FindingsThe results of this study indicated that no significant difference existed for similarity, outcome severity, sex of respondent or physical attractiveness. There was however, a tendency for Ss to attribute more responsibility to the victim who had suffered a severe outcome, and also for the assailant in that condition to be assigned a harsher penalty.ConclusionPrior research in the area of rape victim culpability has offered conflicting results. The present study sought to provide clarity to the findings of previous research. Further research is needed in this area to gain a clearer understanding of factors which influence how victims of sexual assault are perceived.

Ce document porte sur l'extraction d'attributs géométriques présents sur les modèles 3D résultant de l'acquisition numérique de fragments archéologiques. Ces attributs sont ensuite exploités à des fins de classifications, de reconstructions et de remontages. / Doctorat en sciences appliquées / info:eu-repo/semantics/nonPublished