Patterning fashion : drafting a visual framework

Christine Schmidt uses swimwear to illustrate that the methodological practice of the assemblage of pattern pieces is inherent to the intellectual construction that underpins fashion's cultural and historical discourses. She argues that these common threads are woven together to shape the finished 'global' garment.

Scalability of encryption techniques for electronic health record (EHR) retrieval

Electronic Health Record (EHR) retrieval processes are complex demanding Information Technology (IT) resources exponentially in particular memory usage. Database-as-a-service (DAS) model approach is proposed to meet the scalability factor of EHR retrieval processes. A simulation study using ranged of EHR records with DAS model was presented. The bucket-indexing model incorporated partitioning fields and bloom filters in a Singleton design pattern were used to implement custom database encryption system. It effectively provided faster responses in the range query compared to different types of queries used such as aggregation queries among the DAS, built-in encryption and the plain-text DBMS. The study also presented with constraints around the approach should consider for other practical applications.

Improving trust and securing data accessibility for e-health decision making by using data encryption techniques

In the medical and healthcare arena, patients‟ data is not just their own personal history but also a valuable large dataset for finding solutions for diseases. While electronic medical records are becoming popular and are used in healthcare work places like hospitals, as well as insurance companies, and by major stakeholders such as physicians and their patients, the accessibility of such information should be dealt with in a way that preserves privacy and security. Thus, finding the best way to keep the data secure has become an important issue in the area of database security. Sensitive medical data should be encrypted in databases. There are many encryption/ decryption techniques and algorithms with regard to preserving privacy and security. Currently their performance is an important factor while the medical data is being managed in databases. Another important factor is that the stakeholders should decide more cost-effective ways to reduce the total cost of ownership. As an alternative, DAS (Data as Service) is a popular outsourcing model to satisfy the cost-effectiveness but it takes a consideration that the encryption/ decryption modules needs to be handled by trustworthy stakeholders. This research project is focusing on the query response times in a DAS model (AES-DAS) and analyses the comparison between the outsourcing model and the in-house model which incorporates Microsoft built-in encryption scheme in a SQL Server. This research project includes building a prototype of medical database schemas. There are 2 types of simulations to carry out the project. The first stage includes 6 databases in order to carry out simulations to measure the performance between plain-text, Microsoft built-in encryption and AES-DAS (Data as Service). Particularly, the AES-DAS incorporates implementations of symmetric key encryption such as AES (Advanced Encryption Standard) and a Bucket indexing processor using Bloom filter. The results are categorised such as character type, numeric type, range queries, range queries using Bucket Index and aggregate queries. The second stage takes the scalability test from 5K to 2560K records. The main result of these simulations is that particularly as an outsourcing model, AES-DAS using the Bucket index shows around 3.32 times faster than a normal AES-DAS under the 70 partitions and 10K record-sized databases. Retrieving Numeric typed data takes shorter time than Character typed data in AES-DAS. The aggregation query response time in AES-DAS is not as consistent as that in MS built-in encryption scheme. The scalability test shows that the DBMS reaches in a certain threshold; the query response time becomes rapidly slower. However, there is more to investigate in order to bring about other outcomes and to construct a secured EMR (Electronic Medical Record) more efficiently from these simulations.

General theory of stigmergy : modelling stigma semantics

Stigmergy is a biological term used when discussing a sub-set of insect swarm-behaviour describing the apparent organisation seen during their activities. Stigmergy describes a communication mechanism based on environment-mediated signals which trigger responses among the insects. This phenomenon is demonstrated in the behavior of ants and their food gathering process when following pheromone trails, where the pheromones are a form of environment-mediated communication. What is interesting with this phenomenon is that highly organized societies are achieved without an apparent management structure. Stigmergy is also observed in human environments, both natural and engineered. It is implicit in the Web where sites provide a virtual environment supporting coordinative contributions. Researchers in varying disciplines appreciate the power of this phenomenon and have studied how to exploit it. As stigmergy becomes more widely researched we see its definition mutate as papers citing original work become referenced themselves. Each paper interprets these works in ways very specific to the research being conducted. Our own research aims to better understand what improves the collaborative function of a Web site when exploiting the phenomenon. However when researching stigmergy to develop our understanding we discover a lack of a standardized and abstract model for the phenomenon. Papers frequently cited the same generic descriptions before becoming intimately focused on formal specifications of an algorithm, or esoteric discussions regarding sub-facets of the topic. None provide a holistic and macro-level view to model and standardize the nomenclature. This paper provides a content analysis of influential literature documenting the numerous theoretical and experimental papers that have focused on stigmergy. We establish that stigmergy is a phenomenon that transcends the insect world and is more than just a metaphor when applied to the human world. We present from our own research our general theory and abstract model of semantics of stigma in stigmergy. We hope our model will clarify the nuances of the phenomenon into a useful road-map, and standardise vocabulary that we witness becoming confused and divergent. Furthermore, this paper documents the analysis on which we base our next paper: Special Theory of Stigmergy: A Design Pattern for Web 2.0 Collaboration.

Collaboration in Web N.0: Stigmergy and virtual pheromones

The aim of this project was to develop a general theory of stigmergy and a software design pattern to build collaborative websites. Stigmergy is a biological term used when describing some insect swarm-behaviour where 'food gathering' and 'nest building' activities demonstrate the emergence of self-organised societies achieved without an apparent management structure. The results of the project are an abstract model of stigmergy and a software design pattern for building Web 2.0 components exploiting this self-organizing phenomenon. A proof-of-concept implementation was also created demonstrating potential commercial viability for future website projects.

MAX: A Multi Objective Memory Architecture eXploration Framework for Embedded Systems-on-Chip

Today's feature-rich multimedia products require embedded system solution with complex System-on-Chip (SoC) to meet market expectations of high performance at a low cost and lower energy consumption. The memory architecture of the embedded system strongly influences these parameters. Hence the embedded system designer performs a complete memory architecture exploration. This problem is a multi-objective optimization problem and can be tackled as a two-level optimization problem. The outer level explores various memory architecture while the inner level explores placement of data sections (data layout problem) to minimize memory stalls. Further, the designer would be interested in multiple optimal design points to address various market segments. However, tight time-to-market constraints enforces short design cycle time. In this paper we address the multi-level multi-objective memory architecture exploration problem through a combination of Multi-objective Genetic Algorithm (Memory Architecture exploration) and an efficient heuristic data placement algorithm. At the outer level the memory architecture exploration is done by picking memory modules directly from a ASIC memory Library. This helps in performing the memory architecture exploration in a integrated framework, where the memory allocation, memory exploration and data layout works in a tightly coupled way to yield optimal design points with respect to area, power and performance. We experimented our approach for 3 embedded applications and our approach explores several thousand memory architecture for each application, yielding a few hundred optimal design points in a few hours of computation time on a standard desktop.

Mussel Community Studies [Year Three].

The communities associated with Mytilus californianus (mussel) beds from 20 geographic sites in southern California were examined. The study areas included six mainland sites - Government Point, Goleta Point, Ventura, Corona del Mar, Carlsbad, and San Diego,and two sites on opposite sides of seven offshore islands - San Miguel Island, Santa Rosa Island, Santa Cruz Island, Anacapa Island, San Nicholas Island, Santa Cruz Island and San Clemente Island. : The mussel communities from all areas contributed to the master species list which now encompasses conservatively, 610 species of animals and 141 species of algae. The most diverse collection came from Cat Rock, Anacapa Island where the mussel beds supported 174 species of invertebrates. The lowest diversity was recorded for mussel beds from Ben Weston, Santa Catalina Island which contained 46 species. In general, the island mussel beds supported a greater diversity of both animals and plants. Mussel community samples were collected from upper and lower intertidal areas occupied by the mussel beds within a locality. Community differences in both composition and abundance were associated with these collections. Overall. community similarity analysis revealed five major patterns which corresponded to characteristic species assemblages occupying the mussel beds from the various geographic areas. The patterns included: (1) clusters of localities which display a north-south geographic pattern with respect to the similarity of their respective mussel communities, (2) a separation of selected island and mainland communities because of dissimilarities in their species composition, (3) differences between mussel communities. on opposite sides of the offshore islands, (4) clusters of species whose highest abundances characterize selected localities, (5) species groups ubiquitous to all mussel beds examined. The results of the community analysis further suggest that predictions can be made delineating the probable mussel community inhabitants of areas not sampled. The species distribution patterns observed appear to correspond in part to the influence of currents and water masses which bear planktonic larvae and impinge on selected localities. The most important mussel bed features associated with community differences were quantitative and qualitative differences in the potential microhabitats. Those features associate~ with greater species diversity include the pore base of coarse fraction shell and rock debris, skewness and kurtosis of the sediment grain-size distributions and mussel bed thickness. Those features associated with lower species diversity included the quantity of tar. and rock and shell debris trapped within the mussel bed. (PDF contains 51 pages)

Questionário sobre o consumo de álcool e drogas entre profissionais de saúde: um estudo exploratório

A droga na atualidade é considerada uma ameaça para a humanidade. Nos países em desenvolvimento, o álcool é o principal fator de risco, dentre as demais substâncias psicoativas. Existem poucos estudos sobre a prevalência do uso de drogas nos locais de trabalho no Brasil, e sobre os meios de enfrentamento das instituições empregadoras frente ao consumo de drogas por seus trabalhadores e as condições que levam a tal uso. O estudo foi estruturado em duas etapas: 1) revisão bibliográfica de instrumentos auto-aplicáveis sobre drogas entre trabalhadores e 2) elaboração e aplicação de um questionário auto-aplicável sobre o consumo de drogas entre trabalhadores. Foi traçado os seguintes objetivos: 1 etapa - Levantar os estudos publicados, que apresentam como objeto o uso de álcool e drogas por trabalhadores, entre os anos de 1998 e 2008; Identificar e analisar os instrumentos auto-aplicáveis, que mensuram a prevalência e o padrão de consumo de drogas em trabalhadores, utilizados pelos estudos; e Subsidiar o desenvolvimento de um questionário auto-aplicável sobre o padrão de consumo de álcool e drogas entre trabalhadores; 2 etapa - Desenvolver um questionário auto-aplicável que permite identificar a prevalência e padrão de consumo de álcool e drogas entre profissionais de saúde, assim como, as formas de enfrentamento por parte do trabalhador e das instituições empregadoras; Realizar análise descritiva do questionário desenvolvido e de seus principais resultados; e Avaliar a compreensão das perguntas do questionário desenvolvido, a partir das sugestões e respostas marcadas pelos sujeitos do estudo. Trata-se de uma pesquisa quantitativa, descritiva e exploratória realizada com 111 alunos de pós-graduação latu sensu de uma Faculdade Pública de Enfermagem situada na Cidade do Rio de Janeiro. Através da revisão bibliográfica verificamos que existem poucos instrumentos auto-aplicáveis sobre o padrão de consumo de álcool e drogas entre trabalhadores. Foi construído um questionário visando identificar informações sócio-demográficas, a história profissional, informações sobre o consumo de álcool e outras drogas, informações sobre o estresse laboral, e informações sobre as formas de enfrentamento por parte do trabalhador e das instituições empregadoras sobre o consumo de drogas. Pela análise do questionário aplicado, observou-se que algumas questões foram de difícil compreensão e precisam ser reformuladas, a fim de melhorar a compreensão dos respondentes, já que um questionário auto-aplicável deve ser auto-explicativo. As escalas AUDIT e Job Stress Scale se mostraram importantes para identificar problemas relacionados ao álcool e o estresse laboral. O álcool foi a droga mais utilizada pelos profissionais de saúde, seguido pelas substâncias psicoativas. Portanto, deve-se dar um enfoque sobressalente para a questão do fenômeno das drogas no ambiente de trabalho, promovendo programas de prevenção e de qualidade de vida ao trabalhador. Ressalta-se, também, a importância de abordar as questões sobre drogas nas graduações da área da saúde, promovendo o conhecimento do futuro profissional quanto aos riscos e danos decorrentes do uso e abuso de drogas.

Uma infraestrutura para monitoramento de sistemas cientes do contexto.

Aplicações ubíquas e pervasivas são cientes do contexto dos recursos utilizados no que diz respeito à disponibilidade e qualidade. Esta classe de aplicações pode se beneficiar de mecanismos para descobrir recursos que atendam aos requisitos não-funcionais desejados, e mecanismos para monitorar a qualidade destes recursos. Neste trabalho é proposta uma arquitetura para dois serviços que deveriam ser incluídos na infra-estrutura de suporte a ser utilizada pelas aplicações mencionadas: um Serviço de Contexto, que provê acesso a informações de contexto, e um Serviço de Descoberta, que permite a descoberta dinâmica de recursos, levando em conta restrições de contexto a serem satisfeitas. Estes serviços se apóiam em Agentes de Recursos, que efetivamente monitoram os recursos e sensores. Uma implementação de referência foi desenvolvida, oferecendo os serviços mencionados na forma de Serviços Web e implementando os Agentes de Recursos empregando um padrão de projeto simples. Para avaliar os serviços estes foram utilizados como infra-estrutura para o desenvolvimento de um sistema tolerante a falhas e uma aplicação de assistência domiciliar remota (tele-saúde). O desempenho dos serviços também foi avaliado.

软件设计模式在移动机器人控制系统中的应用

介绍了软件设计模式的基本概念和主要特点。分析了已有移动机器人平台控制系统的功能需求,阐述了总线模式的结构及实现机制。运用总线模式设计了机器人控制系统,并在QNX平台下使用标准C++完成了该控制系统的实现。设计实现的控制系统结构合理,具有很强的实时性、可靠性和可扩展性。

Behavioral Model Generation from Use Cases Based on Ontology Mapping and GRASP Patterns

This paper contributes a new approach for developing UML software designs from Natural Language (NL), making use of a meta-domain oriented ontology, well established software design principles and Natural Language Processing (NLP) tools. In the approach described here, banks of grammatical rules are used to assign event flows from essential use cases. A domain specific ontology is also constructed, permitting semantic mapping between the NL input and the modeled domain. Rules based on the widely-used General Responsibility Assignment Software Principles (GRASP) are then applied to derive behavioral models.

Class Responsibility Assignment (CRA) for Use Case Specification to Sequence Diagrams (UC2SD)

Identifying responsibility for classes in object oriented software design phase is a crucial task. This paper proposes an approach for producing high quality and robust behavioural diagrams (e.g. Sequence Diagrams) through Class Responsibility Assignment (CRA). GRASP or General Responsibility Assignment Software Pattern (or Principle) was used to direct the CRA process when deriving behavioural diagrams. A set of tools to support CRA was developed to provide designers and developers with a cognitive toolkit that can be used when analysing and designing object-oriented software. The tool developed is called Use Case Specification to Sequence Diagrams (UC2SD). UC2SD uses a new approach for developing Unified Modelling Language (UML) software designs from Natural Language, making use of a meta-domain oriented ontology, well established software design principles and established Natural Language Processing (NLP) tools. UC2SD generates a well-formed UML sequence diagrams as output.

Programming Principles: Collections and Iterators

In this session we look at how we can use collection objects like ArrayList as a more advanced type of array. We also introduce the idea of generics (forcing a collection to hold a particular type) and see how Java handles the autoboxing and unboxing of primitives. Finally we look at Iterators, a common design pattern for dealing with iteration over a collection.

A Multi-agent Architecture with Distributed Coordination for an Autonomous Robot

Aquest treball proposa una nova arquitectura de control amb coordinació distribuïda per a un robot mòbil (ARMADiCo). La metodologia de coordinació distribuïda consisteix en dos passos: el primer determina quin és l'agent que guanya el recurs basat en el càlcul privat de la utilitat i el segon, com es fa el canvi del recurs per evitar comportaments abruptes del robot. Aquesta arquitectura ha estat concebuda per facilitar la introducció de nous components hardware i software, definint un patró de disseny d'agents que captura les característiques comunes dels agents. Aquest patró ha portat al desenvolupament d'una arquitectura modular dins l'agent que permet la separació dels diferents mètodes utilitzats per aconseguir els objectius, la col·laboració, la competició i la coordinació de recursos. ARMADiCo s'ha provat en un robot Pioneer 2DX de MobileRobots Inc.. S'han fet diversos experiments i els resultats han demostrat que s'han aconseguit les característiques proposades per l'arquitectura.