Technical Report: Cooperative Multi-Target Localization With Noisy Sensors

This technical report is an extended version of the paper 'Cooperative Multi-Target Localization With Noisy Sensors' accepted to the 2013 IEEE International Conference on Robotics and Automation (ICRA). This paper addresses the task of searching for an unknown number of static targets within a known obstacle map using a team of mobile robots equipped with noisy, limited field-of-view sensors. Such sensors may fail to detect a subset of the visible targets or return false positive detections. These measurement sets are used to localize the targets using the Probability Hypothesis Density, or PHD, filter. Robots communicate with each other on a local peer-to-peer basis and with a server or the cloud via access points, exchanging measurements and poses to update their belief about the targets and plan future actions. The server provides a mechanism to collect and synthesize information from all robots and to share the global, albeit time-delayed, belief state to robots near access points. We design a decentralized control scheme that exploits this communication architecture and the PHD representation of the belief state. Specifically, robots move to maximize mutual information between the target set and measurements, both self-collected and those available by accessing the server, balancing local exploration with sharing knowledge across the team. Furthermore, robots coordinate their actions with other robots exploring the same local region of the environment.Comment: Extended version of paper accepted to 2013 IEEE International Conference on Robotics and Automation (ICRA

Council for European Studies Fellowship Report

My project concerns the Dames des Halles during the French Revolution. My research focuses on the political activism and cultural representation of these Parisian merchants. During the Revolution, the Dames struggled to maintain their Old Regime position as ritual representatives of the people by appropriating revolutionary practices and discourse. Although the Dames des Halles proved to be critical political actors in several journées, historians have yet to undertake a comprehensive study of their revolutionary activism. In order to throw into relief the complexity of female political practice during the Revolution, I analyze, on the one hand, the economic, religious, ritual, and gendered elements of their political activism. On the other hand, I study how other revolutionary actors visually and textually deployed the Dames’ image for their own political ends. Working at the intersection of popular politics, popular culture, and economics, I intend to study the Dames des Halles’ political activism and the simultaneous renegotiation of their public identity throughout the course of the Revolution

Dames at Sea (August 1-5, 8-12, 1979)

Program for Dames at Sea (August 1-5, 8-12, 1979). To view the photos from this production of Dames at Sea, please click here

High-Accuracy Approximation of Evolutionary Pairwise Games on Complex Networks

Previous studies have shown that the topological properties of a complex network, such as heterogeneity and average degree, affect the evolutionary game dynamics on it. However, traditional numerical simulations are usually time-consuming and demand a lot of computational resources. In this paper, we propose the method of dynamical approximate master equations (DAMEs) to accurately approximate the evolutionary outcomes on complex networks. We demonstrate that the accuracy of DAMEs supersedes previous standard pairwise approximation methods, and DAMEs require far fewer computational resources than traditional numerical simulations. We use prisoner's dilemma and snowdrift game on regular and scale-free networks to demonstrate the applicability of DAMEs. Overall, our method facilitates the investigation of evolutionary dynamics on a broad range of complex networks, and provides new insights into the puzzle of cooperation.Comment: 21 pages, 4 figure

Metadata Creation, Transformation and Discovery for Social Science Data Management: The DAMES Project Infrastructure

This paper discusses the use of metadata, underpinned by DDI (Data Documentation Initiative), to support social science data management. Social science data management refers broadly to the discovery, preparation, and manipulation of social science data for the purposes of research and analysis. Typical tasks include recoding variables within a dataset, and linking data from different sources. A description is given of the DAMES project (Data Management through e-Social Science), a UK project which is building resources and services to support quantitative social science data management activities. DAMES provides generic facilities for performing (and recording) operations on data. Specific resources include support for analysis through micro-simulation, and support for access to specialist data on occupations, educational qualifications, measures of ethnicity and immigration, social care, and mental health. The DAMES project tools and services can generate, use, transform, and search metadata that describe social science datasets (including microdata from social survey datasets and aggregate-level macrodata). On DAMES, these metadata are described by various standards including DDI Version 2, DDI Version 3, JSDL (Job Submission Definition Language), and the purpose-designed JFDL (Job Flow Definition Language). The paper describes how DAMES uses metadata with a range of resources that are integrated with a job execution infrastructure, a Web portal, and a tool for data fusion

Dames at Sea

When talented young hopeful Ruby arrives in New York City with nothing but a pair of tap shoes in her suitcase, she is determined to break into show business. She stumbles into the cast of troubled show “Dames at Sea”, in which broke and pessimistic producer Hennesey is terrorized by Mona Kent, the aggressive, seductive, and surprisingly shady leading lady. Dames at Sea is a light, bright, and hilariously tuneful homage to the glamorous and hopeful movie musicals of the 1930s. https://stageagent.com/shows/musical/2374/dames-at-seahttps://digitalcommons.otterbein.edu/summer_production_2014/1002/thumbnail.jp

Enabling quantitative data analysis through e-infrastructures

This paper discusses how quantitative data analysis in the social sciences can engage with and exploit an e-Infrastructure. We highlight how a number of activities which are central to quantitative data analysis, referred to as ‘data management’, can benefit from e-infrastructure support. We conclude by discussing how these issues are relevant to the DAMES (Data Management through e-Social Science) research Node, an ongoing project that aims to develop e-Infrastructural resources for quantitative data analysis in the social sciences

Brief Note: An Optical Canopy Cover Instrument

Author Institution: Dames & Moor

The Foreign Affairs Power: The Dames & (and) Moore Case

In 1981, the Supreme Court decided Dames & Moore v. Regan. According to the modest view of the majority opinion, the Dames & Moore case is not even a brick, with or without straw. As Justice Rehnquist stated for the Court: We attempt to lay down no general \u27guide-lines\u27...and attempt to confine the opinion only to the very questions necessary to the decision of the case. A second look, however, reveals that in Dames & Moore, the Supreme Court did more than resolve some of the sticky legalities that were part of a serious foreign policy crisis. It also moved the country one step forward towards a strengthened constitutional structuring of the foreign affairs power