Journal of Computer Applications in Archaeology最新文献_第6页

Digitally Teaching Digital Skills: Lessons Drawn from a Small Private Online Course (SPOC) on ‘Modelling and Simulation in Archaeology’ at Leiden University 数字化教学数字技能：来自莱顿大学“考古建模与模拟”小型私人在线课程（SPOC）的经验教训

Journal of Computer Applications in Archaeology Pub Date : 2019-04-24 DOI: 10.5334/JCAA.26

F. Scherjon, I. Romanowska, K. Lambers

引用次数: 4

Sets, Graphs, and Things We Can See: A Formal Combinatorial Ontology for Empirical Intra-Site Analysis 集合、图和我们能看到的东西:用于经验站点内分析的形式化组合本体

Journal of Computer Applications in Archaeology Pub Date : 2019-04-16 DOI: 10.5334/JCAA.16

J. Cardinal

{"title":"Sets, Graphs, and Things We Can See: A Formal Combinatorial Ontology for Empirical Intra-Site Analysis","authors":"J. Cardinal","doi":"10.5334/JCAA.16","DOIUrl":"https://doi.org/10.5334/JCAA.16","url":null,"abstract":"A critical aspect of analysing an archaeological site is identifying the network of relationships between the things we find and the locations where we find them. These associations are typically determined by a combination of quantitative analyses and the professional knowledge and intuition of the archaeologist, but where exactly is the boundary between what is truly empirical field data and what is inferred through our prior knowledge and field methods? How can we best support those inferences? This paper is a critical evaluation of that boundary to firmly ground, as much as possible, a quantitative analysis on only that which we can directly observe – the thing and its location – and derive associations from that basis alone. To do so, the approach described here relies on a combination of set and graph theories rather than statistical or spatial methods. This revised ontology allows a formalization, in combinatorial terms, for describing an underlying structure to contexts and assemblages that suggests a clear association between archaeological site analysis and a well-studied class of set and graph covering problems. This, in turn, points towards potential algorithmic solutions for a more holistic parsing of the total relationships between sites, contexts, assemblages, proveniences, and artefacts.","PeriodicalId":32632,"journal":{"name":"Journal of Computer Applications in Archaeology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42744461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

A Comparison of Châtelperronian and Protoaurignacian Core Technology Using Data Derived from 3D Models 使用3D模型数据比较Châtelperronian和Protauriganian核心技术

Journal of Computer Applications in Archaeology Pub Date : 2019-03-20 DOI: 10.5334/JCAA.17

Samantha T Porter, Morgan Roussel, M. Soressi

{"title":"A Comparison of Châtelperronian and Protoaurignacian Core Technology Using Data Derived from 3D Models","authors":"Samantha T Porter, Morgan Roussel, M. Soressi","doi":"10.5334/JCAA.17","DOIUrl":"https://doi.org/10.5334/JCAA.17","url":null,"abstract":"This study uses data extracted from 3D models to compare blade cores from the Châtelperronian and Protoaurignacian stone tool industries. These technocomplexes are at the center of the debate surrounding the interactions between Neanderthals and anatomically modern humans approximately 45 to 40,000 years ago. We created 3D models of lithic cores from the sites of Roc de Combe and Les Cottes using a standardized photogrammetry protocol. We then used data derived from these 3D models to make quantitative comparisons of artifact attributes that have previously been argued to distinguish the two stone tool industries in question. These attributes include the angle between the platform and flaking surfaces, the shape of core cross sections, and the angle between core axes. The conception of this study was not to privilege the use of new technological and statistical approaches over more traditional or qualitative forms of lithic analysis. Rather, our aim was to experiment with using digital tool to develop nuanced, reproducible ways to describe variability in lithic artifacts. Our results support the hypothesis that there is a difference in the angle between core surfaces between these two industries. Our analysis also indicates a difference in the angle between core axes, although we are more cautious in interpreting these results. An elliptical Fourier analysis of core cross section shape was inconclusive. We discuss what archaeological and methodological factors may have contributed to our results, and the roles of both qualitative and quantitative observations in archaeological research. 3D artifact models generated for this study are included as supplemental data and are available for use by other researchers.","PeriodicalId":32632,"journal":{"name":"Journal of Computer Applications in Archaeology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49489332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

Learning to Look at LiDAR: The Use of R-CNN in the Automated Detection of Archaeological Objects in LiDAR Data from the Netherlands 学习看激光雷达：R-CNN在荷兰激光雷达数据中考古对象自动检测中的应用

Journal of Computer Applications in Archaeology Pub Date : 2019-03-19 DOI: 10.5334/JCAA.32

Wouter B. Verschoof‐van der Vaart, K. Lambers

{"title":"Learning to Look at LiDAR: The Use of R-CNN in the Automated Detection of Archaeological Objects in LiDAR Data from the Netherlands","authors":"Wouter B. Verschoof‐van der Vaart, K. Lambers","doi":"10.5334/JCAA.32","DOIUrl":"https://doi.org/10.5334/JCAA.32","url":null,"abstract":"Computer-aided methods for the automatic detection of archaeological objects are needed to cope with the ever-growing set of largely digital and easily available remotely sensed data. In this paper, a promising new technique for the automated detection of multiple classes of archaeological objects in LiDAR data is presented. This technique is based on R-CNNs (Regions-based Convolutional Neural Networks). Unlike normal CNNs, which classify the entire input image, R-CNNs address the problem of object detection, which requires correctly localising and classifying (multiple) objects within a larger image. We have incorporated this technique into a workflow, which enables the preprocessing of LiDAR data into the required data format and the conversion of the results of the object detection into geographical data, usable in a GIS environment. The proposed technique has been trained and tested on LiDAR data gathered from the central part of the Netherlands. This area contains a multitude of archaeological objects, including prehistoric barrows and Celtic fields. The initial experiments show that we are able to automatically detect and categorise these two types of archaeological objects and thus proof the added value of this technique.","PeriodicalId":32632,"journal":{"name":"Journal of Computer Applications in Archaeology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45111601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 103

User Requirement Solicitation for an Information Retrieval System Applied to Dutch Grey Literature in the Archaeology Domain 荷兰考古领域灰色文献信息检索系统的用户需求征集

Journal of Computer Applications in Archaeology Pub Date : 2019-03-18 DOI: 10.5334/JCAA.33

Alex Brandsen, K. Lambers, S. Verberne, M. Wansleeben

引用次数: 9

First Steps in the Use of a Game Engine for Historical Roads and Paths Research 使用游戏引擎进行历史道路研究的第一步

Journal of Computer Applications in Archaeology Pub Date : 2019-02-28 DOI: 10.5334/JCAA.18

W. Vletter

引用次数: 2

Correction: Whither Digital Archaeological Knowledge? The Challenge of Unstable Futures 更正：数字考古知识在哪里？不稳定期货的挑战

Journal of Computer Applications in Archaeology Pub Date : 2019-01-14 DOI: 10.5334/JCAA.21

J. Huggett, P. Reilly, G. Lock

引用次数: 0

A Model-Based Statistical Classification Analysis for Karamattepe Arrowheads 基于模型的Karamattepe箭头统计分类分析

Journal of Computer Applications in Archaeology Pub Date : 2019-01-01 DOI: 10.5334/jcaa.20

Tutku Tuncalı Yaman

引用次数: 1