Scattertext: a Browser-Based Tool for Visualizing how Corpora Differ

Scattertext is an open source tool for visualizing linguistic variation between document categories in a language-independent way. The tool presents a scatterplot, where each axis corresponds to the rank-frequency a term occurs in a category of documents. Through a tie-breaking strategy, the tool is able to display thousands of visible term-representing points and find space to legibly label hundreds of them. Scattertext also lends itself to a query-based visualization of how the use of terms with similar embeddings differs between document categories, as well as a visualization for comparing the importance scores of bag-of-words features to univariate metrics.Comment: ACL 2017 Demos. 6 pages, 5 figures. See the Githup repo https://github.com/JasonKessler/scattertext for source code and documentatio

A query processing system for very large spatial databases using a new map algebra

Dans cette thèse nous introduisons une approche de traitement de requêtes pour des bases de donnée spatiales. Nous expliquons aussi les concepts principaux que nous avons défini et développé: une algèbre spatiale et une approche à base de graphe utilisée dans l'optimisateur. L'algèbre spatiale est défini pour exprimer les requêtes et les règles de transformation pendant les différentes étapes de l'optimisation de requêtes. Nous avons essayé de définir l'algèbre la plus complète que possible pour couvrir une grande variété d'application. L'opérateur algébrique reçoit et produit seulement des carte. Les fonctions reçoivent des cartes et produisent des scalaires ou des objets. L'optimisateur reçoit la requête en expression algébrique et produit un QEP (Query Evaluation Plan) efficace dans deux étapes: génération de QEG (Query Evaluation Graph) et génération de QEP. Dans première étape un graphe (QEG) équivalent de l'expression algébrique est produit. Les règles de transformation sont utilisées pour transformer le graphe a un équivalent plus efficace. Dans deuxième étape un QEP est produit de QEG passé de l'étape précédente. Le QEP est un ensemble des opérations primitives consécutives qui produit les résultats finals (la réponse finale de la requête soumise au base de donnée). Nous avons implémenté l'optimisateur, un générateur de requête spatiale aléatoire, et une base de donnée simulée. La base de donnée spatiale simulée est un ensemble de fonctions pour simuler des opérations spatiales primitives. Les requêtes aléatoires sont soumis à l'optimisateur. Les QEPs générées sont soumis au simulateur de base de données spatiale. Les résultats expérimentaux sont utilisés pour discuter les performances et les caractéristiques de l'optimisateur.Abstract: In this thesis we introduce a query processing approach for spatial databases and explain the main concepts we defined and developed: a spatial algebra and a graph based approach used in the optimizer. The spatial algebra was defined to express queries and transformation rules during different steps of the query optimization. To cover a vast variety of potential applications, we tried to define the algebra as complete as possible. The algebra looks at the spatial data as maps of spatial objects. The algebraic operators act on the maps and result in new maps. Aggregate functions can act on maps and objects and produce objects or basic values (characters, numbers, etc.). The optimizer receives the query in algebraic expression and produces one efficient QEP (Query Evaluation Plan) through two main consecutive blocks: QEG (Query Evaluation Graph) generation and QEP generation. In QEG generation we construct a graph equivalent of the algebraic expression and then apply graph transformation rules to produce one efficient QEG. In QEP generation we receive the efficient QEG and do predicate ordering and approximation and then generate the efficient QEP. The QEP is a set of consecutive phases that must be executed in the specified order. Each phase consist of one or more primitive operations. All primitive operations that are in the same phase can be executed in parallel. We implemented the optimizer, a randomly spatial query generator and a simulated spatial database. The query generator produces random queries for the purpose of testing the optimizer. The simulated spatial database is a set of functions to simulate primitive spatial operations. They return the cost of the corresponding primitive operation according to input parameters. We put randomly generated queries to the optimizer, got the generated QEPs and put them to the spatial database simulator. We used the experimental results to discuss on the optimizer characteristics and performance. The optimizer was designed for databases with a very large number of spatial objects nevertheless most of the concepts we used can be applied to all spatial information systems."--Résumé abrégé par UMI

Fighting money laundering with technology: a case study of Bank X in the UK

This paper presents a longitudinal interpretive case study of a UK bank’s efforts to combat Money Laundering (ML) by expanding the scope of its profiling of ML behaviour. The concept of structural coupling, taken from systems theory, is used to reflect on the bank’s approach to theorize about the nature of ML-profiling. The paper offers a practical contribution by laying a path towards the improvement of money laundering detection in an organizational context while a set of evaluation measures is extracted from the case study. Generalizing from the case of the bank, the paper presents a systems-oriented conceptual framework for ML monitoring

Design of a backend system to integrate health information systems – case study: ministry of health and social services (MoHSS)-Namibia

Information systems are the key to institution organization and decision making. In the health care field, there is a lot of data flow, from the patient demographic information (through the electronic medical records), the patient's medication dispersal methods called pharmaceutical data, laboratory data to hospital organization information such bed allocation. Healthcare information system is a system that manages, store, transmit and display healthcare data. Most of the healthcare data in Namibia are unstructured, there is a heterogeneous environment in which different health information systems are distributed in different departments [1][2]. A lot of data is generated but never used in decision-making due to the fragmentation. The integration of these systems would create a flood of big data into a centralized database. With information technology and new generation networks becoming a called for innovations in every day's operations, the adaptations of accessing big data through information applications and systems in an integrated way will facilitate the performances of practical work in health care. The aim of this dissertation is to find a way in which these vertical Health Information System can be integrated into a unified system. A prototype of a back-end system is used to illustrate how the present healthcare systems that are in place with the Ministry of Health and Social Service facilities in Namibia, can be integrated to promote a more unified system usage. The system uses other prototypes of subsystems that represent the current systems to illustrate how they operate and, in the end, how the integration can improve service delivery in the ministry. The proposed system is expected to benefit the ministry in its daily operations as it enables instant authorized access to data without passing through middlemen. It will improve and preserve data integrity by eliminating multiple handling of data through a single data admission point. With one entry point to the systems, manual work will be reduced hence also reducing cost. Generally, it will ensure efficiency and then increase the quality of service provided

Equipment Maintenance and Replacement Decision Making Processes

This project contains recommendations for the decision making processes for support and production equipment maintenance and replacement for a large defense contractor. Recent literature has been reviewed to provide perspective on current trends in the field. A complete evaluation of their current processes and systems is included with recommendations on areas for improvement. A decision support system is also proposed to supplement their existing decision making

Strategies for integrating models of interdependent subsystems of complex system-of-systems products

2006 Proceeding of the Thirty-Eighth Southeastern Symposium on System Theory© Copyright 2006 IEEEThe Office of Naval Research has established a need for improved design and analysis methods for the next generation of naval surface combatants. The Aerospace Systems Design Lab (ASDL) has initiated the Integrated Reconfigurable Intelligent Systems project to address design issues associated with the future systems. A goal of this program is to define preliminary approaches for developing an integrated modeling and simulation environment for complex systems. Since such systems are heterogeneous, dynamical and interdependent we suggest that a system-of-systems multidisciplinary approach is most appropriate for investigating and executing solutions. An integration methodology employing innovative techniques and a framework of tools that can be used to couple disparate models and simulations is presented. Methods for validating the final product to justify the selected approach and demonstrate a proof of concept for the integrated model are also discussed

Reify Your Collection Queries for Modularity and Speed!

Modularity and efficiency are often contradicting requirements, such that programers have to trade one for the other. We analyze this dilemma in the context of programs operating on collections. Performance-critical code using collections need often to be hand-optimized, leading to non-modular, brittle, and redundant code. In principle, this dilemma could be avoided by automatic collection-specific optimizations, such as fusion of collection traversals, usage of indexing, or reordering of filters. Unfortunately, it is not obvious how to encode such optimizations in terms of ordinary collection APIs, because the program operating on the collections is not reified and hence cannot be analyzed. We propose SQuOpt, the Scala Query Optimizer--a deep embedding of the Scala collections API that allows such analyses and optimizations to be defined and executed within Scala, without relying on external tools or compiler extensions. SQuOpt provides the same "look and feel" (syntax and static typing guarantees) as the standard collections API. We evaluate SQuOpt by re-implementing several code analyses of the Findbugs tool using SQuOpt, show average speedups of 12x with a maximum of 12800x and hence demonstrate that SQuOpt can reconcile modularity and efficiency in real-world applications.Comment: 20 page

Choosing IT Platforms In The Age Of Stuxnet

This paper addresses the question of choosing/investing in IT (hardware/software) platforms that avoid quick obsolescence and the underlying dilemmas of choosing proprietary software versus open source software, and opting for managed services such as public cloud computing versus in-house hardware/communication infrastructures.  These dilemmas in strategic information systems planning have become more significant in light of the recent revelations of security backdoors in commercial software, encryption backdoors in communication software, and governmental access to private data on managed services for national security reasons.  This paper considers enterprise-wide challenges and strategies for adopting open source software/hardware in response to these security concerns