Police allocation manual user's guide : determination of the number and allocation of personnel for police traffic services for state-wide agencies /

"DOT HS 807 793"--P. [4] of cover.

Sharing secrets with lawmakers : Congress as a user of intelligence /

"February 1997."

Reflective web interface agent

Web interface agent is used with web browsers to assist users in searching and interactions with the WWW. It is used for a variety of purposes, such as web-enabled remote control, web interactive visualization, and e-commerce activities. User may be aware or unaware of its existence. The intelligence of interface agent consists in its capability of learning and decision-making in performing interactive functions on behalf of a user. However, since web is an open system environment, the reasoning mechanism in an agent should be able to adapt changes and make decisions on exceptional situations, and therefore use meta knowledge. This paper proposes a framework of Reflective Web Interface Agent (RWIA) that is to provide causal connections between the application interfaces and the knowledge model of the interface agent. A prototype is also implemented for the purpose of demonstration.

MIQUÉIAS 6,1-8: UM TEXTO PARADIGMÁTICO NA INTERFACE DA CRÍTICA PROFÉTICA COM A SABEDORIA ISRAELITA

A presente dissertação de mestrado em Literatura e Religião no Mundo Bíblico tem por objetivo realizar um comentário exegético e hermenêutico de um texto reconhecido como profético e sua relação no plano teológico, antropológico e literário com o universo sapiencial israelita no período pós-exílico. Trata-se do estudo de Miquéias 6,1-8, cujo foco de investigação desenvolveu-se a partir da análise do discurso e da hipótese de confluência de gêneros literários, a saber, o profético e o sapiencial. Considerado sob os aspectos formais, contextuais e de conteúdo antropo teológico, o texto estudado apresenta-se como resultado da composição de diversos gêneros literários e manifesta, internamente, conflitos de teologias que vão desde a interpretação da própria história de Israel até a prática religiosa com suas concepções de Deus. Miquéias 6,1-8, interpretado aqui a partir de metodologias exegéticas modernas e abordagens contextuais e antropológicas, configura-se como uma verdadeira síntese de interpretação deuteronomista não hegemônica dos eventos do êxodo e da mensagem dos profetas bíblicos do século VIII aeC Miquéias, Amós, Oséias e Isaías. Estamos diante de um texto que se apresenta, ao mesmo tempo, coeso e portador de diferentes universos e vozes em sua composição. Seu discurso, cujo teor nasce do conflito entre projetos e grupos no período pós-exílico, resgata memórias antigas de um êxodo que passa por sujeitos marginais e reinterpreta a crítica profética em sua função de discernimento ético e teológico, porém, no formato sapiencial. Pela profundidade sócio teológica e pela proposta não sacrificial de seu discurso, Miquéias 6,1-8 tem sido um texto continuamente revisitado no interior da Teologia da Libertação na América Latina, inspirando boa parte de sua produção.

Combining the power of online crowdsourcing with creative writing user interfaces

The goal of this work was to provide professional and amateur writers with a new way of enhancing their productivity and mental well-being, by helping them overcoming writers block and being able to achieve a state of optimal experience while writing. Our approach is based on bringing together different components to create what we call a creative moment. A creative moment is composed by an image, a text, a mood, a location and a color. The color presented in the creative moment varied according to the mood that was associated to the creative moment. With the creative moments we hoped that our users could have a way to easily trigger their creativity and have a kick start in their work. The prototyping of a web crowdsourcing platform, named CreativeWall, and a Microsoft Word Add-In, that was used on the user study performed, is described and their implementations are discussed. The user study reveals that our approach does have a positive influence in the productivity of the participants when compared with another existing approach. The study also revealed that our approach can ease the process of achieving a state of optimal experience by enhancing one of the dimensions presented on the Flow Theory. At the end we present what we consider would be some possible future developments for the concept created during the development of this work.

miniDVMS v1.8 : A user manual(The data visualization and modeling system)

Today, the data available to tackle many scientific challenges is vast in quantity and diverse in nature. The exploration of heterogeneous information spaces requires suitable mining algorithms as well as effective visual interfaces. miniDVMS v1.8 provides a flexible visual data mining framework which combines advanced projection algorithms developed in the machine learning domain and visual techniques developed in the information visualisation domain. The advantage of this interface is that the user is directly involved in the data mining process. Principled projection methods, such as generative topographic mapping (GTM) and hierarchical GTM (HGTM), are integrated with powerful visual techniques, such as magnification factors, directional curvatures, parallel coordinates, and user interaction facilities, to provide this integrated visual data mining framework. The software also supports conventional visualisation techniques such as principal component analysis (PCA), Neuroscale, and PhiVis. This user manual gives an overview of the purpose of the software tool, highlights some of the issues to be taken care while creating a new model, and provides information about how to install and use the tool. The user manual does not require the readers to have familiarity with the algorithms it implements. Basic computing skills are enough to operate the software.

Introduction to the theory and application of data envelopment analysis:a foundation text with integrated software

The book aims to introduce the reader to DEA in the most accessible manner possible. It is specifically aimed at those who have had no prior exposure to DEA and wish to learn its essentials, how it works, its key uses, and the mechanics of using it. The latter will include using DEA software. Students on degree or training courses will find the book especially helpful. The same is true of practitioners engaging in comparative efficiency assessments and performance management within their organisation. Examples are used throughout the book to help the reader consolidate the concepts covered. Table of content: List of Tables. List of Figures. Preface. Abbreviations. 1. Introduction to Performance Measurement. 2. Definitions of Efficiency and Related Measures. 3. Data Envelopment Analysis Under Constant Returns to Scale: Basic Principles. 4. Data Envelopment Analysis under Constant Returns to Scale: General Models. 5. Using Data Envelopment Analysis in Practice. 6. Data Envelopment Analysis under Variable Returns to Scale. 7. Assessing Policy Effectiveness and Productivity Change Using DEA. 8. Incorporating Value Judgements in DEA Assessments. 9. Extensions to Basic DEA Models. 10. A Limited User Guide for Warwick DEA Software. Author Index. Topic Index. References.

Multi-topic information filtering with a single user profile

In Information Filtering (IF) a user may be interested in several topics in parallel. But IF systems have been built on representational models derived from Information Retrieval and Text Categorization, which assume independence between terms. The linearity of these models results in user profiles that can only represent one topic of interest. We present a methodology that takes into account term dependencies to construct a single profile representation for multiple topics, in the form of a hierarchical term network. We also introduce a series of non-linear functions for evaluating documents against the profile. Initial experiments produced positive results.

Translation as an ideological interface : English translations of Hitler's Mein Kampf

The present thesis is located within the framework of descriptive translation studies and critical discourse analysis. Modern translation studies have increasingly taken into account the complexities of power relations and ideological management involved in the production of translations. Paradoxically, persuasive political discourse has not been much touched upon, except for studies following functional (e.g. Schäffner 2002) or systemic-linguistic approaches (e.g. Calzada Pérez 2001). By taking 11 English translations of Hitler’s Mein Kampf as prime examples, the thesis aims to contribute to a better understanding of the translation of politically sensitive texts. Actors involved in political discourse are usually more concerned with the emotional appeal of their message than they are with its factual content. When such political discourse becomes the locus of translation, it may equally be crafted rhetorically, being used as a tool to persuade. It is thus the purpose of the thesis to describe subtle ‘persuasion strategies’ in institutionally translated political discourse. The subject of the analysis is an illustrative corpus of four full-text translations, two abridgements, and five extract translations of Mein Kampf. Methodologically, the thesis pursues a top-down approach. It begins by delineating sociocultural and situative-agentive conditions as causal factors impinging on the individual translations. Such interactive and interpersonal factors determined textual choices. The overall textual analysis consists of an interrelated corpus-driven and corpus-based approach. It demonstrates how corpus software can be fruitfully harnessed to discern ‘ideological significations’ in the translated texts. Altogether, the thesis investigates how translational decision-makers attempted to position the source text author and his narrative in line with overall rhetorical purposes.

An information foraging theory based user study of an adaptive user interaction framework for content-based image retrieval

This paper presents the design and results of a task-based user study, based on Information Foraging Theory, on a novel user interaction framework - uInteract - for content-based image retrieval (CBIR). The framework includes a four-factor user interaction model and an interactive interface. The user study involves three focused evaluations, 12 simulated real life search tasks with different complexity levels, 12 comparative systems and 50 subjects. Information Foraging Theory is applied to the user study design and the quantitative data analysis. The systematic findings have not only shown how effective and easy to use the uInteract framework is, but also illustrate the value of Information Foraging Theory for interpreting user interaction with CBIR. © 2011 Springer-Verlag Berlin Heidelberg.

Enabling effective user interactions in content-based image retrieval

This paper presents an interactive content-based image retrieval framework—uInteract, for delivering a novel four-factor user interaction model visually. The four-factor user interaction model is an interactive relevance feedback mechanism that we proposed, aiming to improve the interaction between users and the CBIR system and in turn users overall search experience. In this paper, we present how the framework is developed to deliver the four-factor user interaction model, and how the visual interface is designed to support user interaction activities. From our preliminary user evaluation result on the ease of use and usefulness of the proposed framework, we have learnt what the users like about the framework and the aspects we could improve in future studies. Whilst the framework is developed for our research purposes, we believe the functionalities could be adapted to any content-based image search framework.

Sensemaking tools for understanding research literatures:design, implementation and user evaluation

This paper describes the work undertaken in the Scholarly Ontologies Project. The aim of the project has been to develop a computational approach to support scholarly sensemaking, through interpretation and argumentation, enabling researchers to make claims: to describe and debate their view of a document's key contributions and relationships to the literature. The project has investigated the technicalities and practicalities of capturing conceptual relations, within and between conventional documents in terms of abstract ontological structures. In this way, we have developed a new kind of index to distributed digital library systems. This paper reports a case study undertaken to test the sensemaking tools developed by the Scholarly Ontologies project. The tools used were ClaiMapper, which allows the user to sketch argument maps of individual papers and their connections, ClaiMaker, a server on which such models can be stored and saved, which provides interpretative services to assist the querying of argument maps across multiple papers and ClaimFinder, a novice interface to the search services in ClaiMaker.

AquaLog : an ontology-driven question answering system to interface the semantic web

The semantic web (SW) vision is one in which rich, ontology-based semantic markup will become widely available. The availability of semantic markup on the web opens the way to novel, sophisticated forms of question answering. AquaLog is a portable question-answering system which takes queries expressed in natural language (NL) and an ontology as input, and returns answers drawn from one or more knowledge bases (KB). AquaLog presents an elegant solution in which different strategies are combined together in a novel way. AquaLog novel ontology-based relation similarity service makes sense of user queries.

Online trendy topics detection in microblogs with selective user monitoring under cost constraints

As microblog services such as Twitter become a fast and convenient communication approach, identification of trendy topics in microblog services has great academic and business value. However detecting trendy topics is very challenging due to huge number of users and short-text posts in microblog diffusion networks. In this paper we introduce a trendy topics detection system under computation and communication resource constraints. In stark contrast to retrieving and processing the whole microblog contents, we develop an idea of selecting a small set of microblog users and processing their posts to achieve an overall acceptable trendy topic coverage, without exceeding resource budget for detection. We formulate the selection operation of these subset users as mixed-integer optimization problems, and develop heuristic algorithms to compute their approximate solutions. The proposed system is evaluated with real-time test data retrieved from Sina Weibo, the dominant microblog service provider in China. It's shown that by monitoring 500 out of 1.6 million microblog users and tracking their microposts (about 15,000 daily) with our system, nearly 65% trendy topics can be detected, while on average 5 hours earlier before they appear in Sina Weibo official trends.