Virtual Reconstruction of the Ancient State of a Ruined Church

Contributed to: 4th International Conference, EuroMed 2012, Limassol, Cyprus, October 29 – November 3, 2012.

Assisting blog publication: annotation, model transformation, and crossblogging techniques

Although blogs exist from the beginning of the Internet, their use has considerablybeen increased in the last decade. Nowadays, they are ready for being used bya broad range of people. From teenagers to multinationals, everyone can have aglobal communication space.Companies know blogs are a valuable publicity tool to share information withthe participants, and the importance of creating consumer communities aroundthem: participants come together to exchange ideas, review and recommend newproducts, and even support each other. Also, companies can use blogs for differentpurposes, such as a content management system to manage the content of websites,a bulletin board to support communication and document sharing in teams,an instrument in marketing to communicate with Internet users, or a KnowledgeManagement Tool. However, an increasing number of blog content do not findtheir source in the personal experiences of the writer. Thus, the information cancurrently be kept in the user¿s desktop documents, in the companies¿ catalogues,or in another blogs. Although the gap between blog and data source can be manuallytraversed in a manual coding, this is a cumbersome task that defeats the blog¿seasiness principle. Moreover, depending on the quantity of information and itscharacterisation (i.e., structured content, unstructured content, etc.), an automaticapproach can be more effective.Based on these observations, the aim of this dissertation is to assist blog publicationthrough annotation, model transformation and crossblogging techniques.These techniques have been implemented to give rise to Blogouse, Catablog, andBlogUnion. These tools strive to improve the publication process considering theaforementioned data sources.

New applications that come from extending seismic networks into buildings

This thesis describes engineering applications that come from extending seismic networks into building structures. The proposed applications will benefit the data from the newly developed crowd-sourced seismic networks which are composed of low-cost accelerometers. An overview of the Community Seismic Network and the earthquake detection method are addressed. In the structural array components of crowd-sourced seismic networks, there may be instances in which a single seismometer is the only data source that is available from a building. A simple prismatic Timoshenko beam model with soil-structure interaction (SSI) is developed to approximate mode shapes of buildings using natural frequency ratios. A closed form solution with complete vibration modes is derived. In addition, a new method to rapidly estimate total displacement response of a building based on limited observational data, in some cases from a single seismometer, is presented. The total response of a building is modeled by the combination of the initial vibrating motion due to an upward traveling wave, and the subsequent motion as the low-frequency resonant mode response. Furthermore, the expected shaking intensities in tall buildings will be significantly different from that on the ground during earthquakes. Examples are included to estimate the characteristics of shaking that can be expected in mid-rise to high-rise buildings. Development of engineering applications (e.g., human comfort prediction and automated elevator control) for earthquake early warning system using probabilistic framework and statistical learning technique is addressed.

SIHSUS como fonte para o estudo de morbi-mortalidade por medicamentos no Estado do Rio de Janeiro

A despeito de suas limitações, os dados do SIHSUS são os mais sistemáticos e abrangentes sobre as Reações Adversas e Intoxicações a medicamentos que provocam hospitalização. Eles demonstram a importância das ações de educação e investigação de casos do Programa Nacional de Farmacovigilância para possibilitar o diagnóstico mais acurado e superação do quadro atual de ocorrência desses agravos, além da possibilidade de o SIH/SUS ser utilizado sistematicamente como fonte de dados na detecção e análise dos problemas relacionados a medicamentos. No período de 1999 a 2007, foram emitidas 6.670.609 AIH (tipo 1), entre as quais 3.611 foram classificadas como internações devidas a RAM e 4.675 como Intoxicações, correspondendo, respectivamente, às taxas médias de 5,41 casos por 104 AIH e 7,2 casos por 104 AIH. Ocorreram 137 óbitos (3,79% das AIH) por RAM e 207 (4,43% das AIH) por Intoxicações na população internada. Tanto as RAM como as Intoxicações tiveram menor chance de levar ao óbito quando comparados às outras causas. Uma característica da distribuição dos RAM foi concentrar 62% das AIH nas faixas etárias de 20 a 59 anos de idade (grupo adulto). Nas Intoxicações merece destaque a elevada proporção de AIH na faixa etária de 0-4 anos (14,29%). As AIH registradas com causas básicas relacionados a RAM foram principalmente de pacientes do sexo masculino, já as Intoxicações foram principalmente de pacientes do sexo feminino. Em ambos tipos de agravos estes pacientes foram internados em hospitais que não faziam parte da Rede de Hospitais Sentinelas do Programa Nacional de Farmacovigilância. No entanto, a probabilidade destes hospitais registrarem as AIH com códigos CID-10 referentes às RAM é maior, o que ocorre provavelmente por estarem mais capacitados em diagnosticar este tipo de agravo. Porém este fato não foi observado para as Intoxicações. Os fármacos que causaram os agravos estudados são psicoativos. Este estudo apresentou algumas evidências sobre a distribuição da morbi-mortalidade provocada por medicamentos entre pacientes internados em hospitais conveniados ao SUS no período de 1999-2007, baseadas nas informações das AIH, que podem ser úteis ao Programa de Farmacovigilância no Estado do Rio de Janeiro.

Generación dinámica de parrillas de productos en Magento en base al análisis de datos de fuentes abiertas

En este Trabajo de Fin de Grado desarrollado en la empresa On4U, se ha implementado un módulo para Magento, cuya función principal es la generación dinámica de parrillas de productos en base al análisis del tiempo meteorológico, teniendo en cuenta la localización del cliente. Además, el módulo guarda automáticamente las compras efectuadas, junto con la información externa, para un posible análisis posterior que relacione los hábitos de compra con el tiempo meteorológico. Aunque se haya centrado en este caso de uso, se ha desarrollado con un enfoque modular, de tal manera que fuese fácil de integrar en el módulo el uso de otra fuente abierta de información. Para poder realizar el proyecto, se ha tenido que profundizar en varios conceptos relacionados con la plataforma de eCommerce Magento, entre ellos, el patrón Modelo-Vista-Controlador y el ciclo de vida de una petición.

Práticas dos enfermeiros na estratégia de saúde da família sob a ótica do agente comunitário de saúde

Esta pesquisa provém da dissertação de mestrado do Programa de Pós-Graduação em Enfermagem da Universidade do Estado do Rio de Janeiro (ENF/UERJ) e apresenta como objeto de estudo as práticas dos enfermeiros na Estratégia de Saúde da Família (ESF) sob a ótica do Agente Comunitário de Saúde (ACS). Este estudo está vinculado às pesquisas Práticas de cuidado no SUS: o papel do enfermeiro na Atenção Básica e Abordagem interdisciplinar das novas relações e processos de trabalho em saúde: o caso dos agentes comunitários de saúde. O interesse em estudar tais práticas decorreu da vivência como enfermeira de família, atuando com a assistência aos usuários e como chefe de equipe, surgindo reflexões e inquietações em torno das práticas de saúde realizadas pelo enfermeiro e como estas são vistas pelo agente de saúde. Sendo assim, surge o questionamento: Qual a visão dos agentes comunitários de saúde em relação às praticas de saúde desenvolvidas por enfermeiros na Estratégia de Saúde da Família? A fim de responder esta questão, definiu-se como objetivo geral: analisar as práticas dos enfermeiros da Estratégia Saúde-Família do município do Rio de Janeiro, sob a ótica dos Agentes Comunitários de Saúde e objetivos específicos: identificar as práticas de saúde desenvolvidas por enfermeiros na perspectiva do Agente Comunitário de saúde e conhecer os fatores determinantes destas práticas e sua correlação com o trabalho na Estratégia de Saúde da Família. Trata-se de um estudo descritivo com abordagem qualitativa, tendo sido realizado no município do Rio de Janeiro, de 2008 a 2010. A fonte dados foi um conjunto de narrativas de ACS do estudo Abordagem Interdisciplinar dos Novos Processos e Condições de Trabalho em Saúde: o Caso dos Agentes Comunitários de Saúde do Rio de Janeiro. A seleção dos sujeitos foi realizada a partir de uma varredura do banco de narrativas, selecionando aquelas nas quais os ACS discorrem sobre as práticas dos enfermeiros. De um total de 60 ACS, foram selecionados 7 agentes. As narrativas analisadas formaram tres categorias: cuidados do enfermeiro na ESF; práticas do enfermeiro na ESF; fatores que influenciam a prática do enfermeiro na ESF. Com a análise foi possível identificar que o ACS enxerga o enfermeiro como cuidador, através do acolhimento, resolução de problemas e consultas de enfermagem. A prática do enfermeiro é vista pelo agente de saúde através da supervisão, como educador em saúde e através das visitas domiciliares. Entretanto, tais práticas são determinadas por fatores que as facilitam ou a dificultam. As facilidades de atuação do enfermeiro estão em gostar da profissão, a criação do vínculo entre o profissional e o usuário e a presença de uma equipe completa na ESF. Já as dificuldades são encontradas quando o enfermeiro não tem a equipe completa, falta de infraestrutura e recursos materiais no serviço. Ao olhar as práticas de saúde dos enfermeiros na ESF foi possível identificar como elas são desenvolvidas na visão de outros membros da equipe, neste caso os ACS, contribuindo na compreensão de como obter uma melhoria do cuidado à família, de forma qualitativa e humanizada.

Indicadores para monitoramento da saúde da pessoa idosa: revisão integrativa.

O estudo teve por objetivo identificar indicadores para monitoramento da saúde da pessoa idosa a partir da perspectiva do envelhecimento ativo, conforme previsto na Política Nacional de Saúde da Pessoa Idosa (PNSPI) e no Pacto pela Saúde. Foi realizada revisão da literatura, utilizando as bases de dados: LILACS, SCIELO e MEDLINE. Cento e oitenta e nove estudos foram identificados e 14 foram incluídos nesta revisão. Um total de 22 indicadores de saúde foi identificado para acompanhamento das condições de saúde da população idosa. Entre os indicadores identificados, um indicador está relacionado a aspectos demográficos; quatro ao uso dos serviços de saúde; e doze à capacidade funcional dos idosos. Todos podem ser utilizados para monitoramento da saúde da população idosa, em consonância às diretrizes da PNSPI e do Pacto pela Saúde. Observou-se a importância do uso de um conjunto de indicadores para avaliação e monitoramento adequados das condições de saúde dos idosos. Pois, os indicadores aplicados isoladamente são limitados para melhor análise dos resultados alcançados na execução da PNSPI. Os inquéritos foram a fonte de dados mais satisfatória para obtenção de informações sobre a capacidade funcional dos idosos. Embora forneçam expressiva quantidade de dados e informações sobre a saúde da população idosa, os Sistemas Nacionais de Informação do Ministério da Saúde, têm maior enfoque na morbimortalidade e não são suficientes para avaliar as especificidades das pessoas idosas sob a ótica do envelhecimento bem sucedido.

薯蓣属植物甾体甙元和甾体皂甙对研究

本文介绍了薯蓣植物中所含甾体皂甙和甾体皂甙元的化学研究概括。阐述了该属植物皂甙和甙元的结构特点，简要介绍了提取分离及结构鉴定的新方法，并把从此属植物中分离得到的甾体皂甙和甾体皂甙元的来源，理化常数及13C-NMR的化学位移值以表格形式列出。本文的实验部分是从四川产黄山药根茎的乙醇提取物中分离得到六种甾体皂甙，其中三个为E—试剂正反应成分，用化学方法及IR、FDMS、13CNMR、1HNMR、DEPT等技术鉴定了他们的结构，都是薯蓣皂甙元的皂甙。The chemical study in steroid saponins and sapogenins from Dioscorea family is reviewed. Their stuctures are discussed, and the newer techniques used in their isolation and structural elucidation are briefly introduced. A compilation of the saponins and sapogenins from dioscorea family along with their available physical data, source and 13CNMR chemical shifts is included. The experimental paper is that six steroidal saponins were isolated from rhizomes of Dioscorea panthaica Prain et burkill from Sichuan province. Of these saponins the three are positive to Ehrlich reagent. With the aid of IR, FDMS, and NMR spectrometric analyses, their chemical structures have been elucidated as: 3-O-[α-L-rhamnopyranosyl(1→4)]-[β-D-glucopyranosyl]-diosgenin,3-O-[α-L-rhamnopyranosyl(1→2)]-[β-D-glucopyranosyl]-diosgenin; 3-O-[α-L-rhamnopyranosyl(1→2)]-[β-D-glucopyranosyl]-26-O-[β-D-glucopyranosyl]-diosgenin,3-O-[α-L-rhamnopy-ranosyl(1→2)]-[α-L-rhamnopyranosyl(1→4)]-β-D-glucopyranosyl-26-O-[β-D-glucopyranosyl]-diosgenin,3-O-[α-L-rhamnopyranosyl(1→2)]-[β-D-glucopyranosyl(1→3)]-β-D-glucopyranosyl-26-O-[β-D-glucopyranosyl]-diosgenin

滑坡泥石流信息遥感获取与空间预测

On the issue of geological hazard evaluation（GHE）, taking remote sensing and GIS systems as experimental environment, assisting with some programming development, this thesis combines multi-knowledges of geo-hazard mechanism, statistic learning, remote sensing (RS), high-spectral recognition, spatial analysis, digital photogrammetry as well as mineralogy, and selects geo-hazard samples from Hong Kong and Three Parallel River region as experimental data, to study two kinds of core questions of GHE, geo-hazard information acquiring and evaluation model. In the aspect of landslide information acquiring by RS, three detailed topics are presented, image enhance for visual interpretation, automatic recognition of landslide as well as quantitative mineral mapping. As to the evaluation model, the latest and powerful data mining method, support vector machine (SVM), is introduced to GHE field, and a serious of comparing experiments are carried out to verify its feasibility and efficiency. Furthermore, this paper proposes a method to forecast the distribution of landslides if rainfall in future is known baseing on historical rainfall and corresponding landslide susceptibility map. The details are as following: (a) Remote sensing image enhancing methods for geo-hazard visual interpretation. The effect of visual interpretation is determined by RS data and image enhancing method, for which the most effective and regular technique is image merge between high-spatial image and multi-spectral image, but there are few researches concerning the merging methods of geo-hazard recognition. By the comparing experimental of six mainstream merging methods and combination of different remote sensing data source, this thesis presents merits of each method ,and qualitatively analyzes the effect of spatial resolution, spectral resolution and time phase on merging image. (b) Automatic recognition of shallow landslide by RS image. The inventory of landslide is the base of landslide forecast and landslide study. If persistent collecting of landslide events, updating the geo-hazard inventory in time, and promoting prediction model incessantly, the accuracy of forecast would be boosted step by step. RS technique is a feasible method to obtain landslide information, which is determined by the feature of geo-hazard distribution. An automatic hierarchical approach is proposed to identify shallow landslides in vegetable region by the combination of multi-spectral RS imagery and DEM derivatives, and the experiment is also drilled to inspect its efficiency. (c) Hazard-causing factors obtaining. Accurate environmental factors are the key to analyze and predict the risk of regional geological hazard. As to predict huge debris flow, the main challenge is still to determine the startup material and its volume in debris flow source region. Exerting the merits of various RS technique, this thesis presents the methods to obtain two important hazard-causing factors, DEM and alteration mineral, and through spatial analysis, finds the relationship between hydrothermal clay alteration minerals and geo-hazards in the arid-hot valleys of Three Parallel Rivers region. (d) Applying support vector machine (SVM) to landslide susceptibility mapping. Introduce the latest and powerful statistical learning theory, SVM, to RGHE. SVM that proved an efficient statistic learning method can deal with two-class and one-class samples, with feature avoiding produce ‘pseudo’ samples. 55 years historical samples in a natural terrain of Hong Kong are used to assess this method, whose susceptibility maps obtained by one-class SVM and two-class SVM are compared to that obtained by logistic regression method. It can conclude that two-class SVM possesses better prediction efficiency than logistic regression and one-class SVM. However, one-class SVM, only requires failed cases, has an advantage over the other two methods as only "failed" case information is usually available in landslide susceptibility mapping. (e) Predicting the distribution of rainfall-induced landslides by time-series analysis. Rainfall is the most dominating factor to bring in landslides. More than 90% losing and casualty by landslides is introduced by rainfall, so predicting landslide sites under certain rainfall is an important geological evaluating issue. With full considering the contribution of stable factors (landslide susceptibility map) and dynamic factors (rainfall), the time-series linear regression analysis between rainfall and landslide risk mapis presented, and experiments based on true samples prove that this method is perfect in natural region of Hong Kong. The following 4 practicable or original findings are obtained: 1) The RS ways to enhance geo-hazards image, automatic recognize shallow landslides, obtain DEM and mineral are studied, and the detailed operating steps are given through examples. The conclusion is practical strongly. 2) The explorative researching about relationship between geo-hazards and alteration mineral in arid-hot valley of Jinshajiang river is presented. Based on standard USGS mineral spectrum, the distribution of hydrothermal alteration mineral is mapped by SAM method. Through statistic analysis between debris flows and hazard-causing factors, the strong correlation between debris flows and clay minerals is found and validated. 3) Applying SVM theory (especially one-class SVM theory) to the landslide susceptibility mapping and system evaluation for its performance is also carried out, which proves that advantages of SVM in this field. 4) Establishing time-serial prediction method for rainfall induced landslide distribution. In a natural study area, the distribution of landslides induced by a storm is predicted successfully under a real maximum 24h rainfall based on the regression between 4 historical storms and corresponding landslides.

尾波干涉法精确测量地震波速变化的方法及实验研究

The coda of seismic waves consists of that part of the signal after the directly arrivials. In a finite medium, or in one that is strongly heterogeneous, the coda is dominated by waves which have repeatedly sampled the medium. Small changes in a medium which may have no detectable influence on the first arrivals are amplified by this repeated sampling and may thus be detectable in the coda. Because of this, coda wave is widely used in detecting micro variations in medium。 In this paper, we give a general view of the theory and application of coda wave, especially coda wave interferometry. We focus on discussing the application of coda wave interferometry on data source of active situ experiment。 First, we apply coda wave interferometry in a short time period situ experiment which last for three days. We also apply the method of coda wave interferometry in a situ experiment which last for one month. Daily circle variations of seismic velocity around the experiment site were obtained, and we also observed that the velocity variations in the experiment site have a significant correlation with the environment factors, including air temperature, barometric pressure, solid earth tide and the level of rainfall. We find that the velocity variation during this period is up to 10-3. The relationship between velocity variation and changes in air temperature, barometric pressure and solid earth tide was analyzed with least square linear fitting .The velocity has no dependence on the air temperature. But velocity has a change of 10-6--10-7 when the barometer or earth tide change per Pa. Generally, we conclude the work and results of previous researchers, and we also display our works and results. We hopes to contribute to the future research of coda wave interferometry.

基于MRF模型的油气储层属性随机建模方法研究

Stochastic reservoir modeling is a technique used in reservoir describing. Through this technique, multiple data sources with different scales can be integrated into the reservoir model and its uncertainty can be conveyed to researchers and supervisors. Stochastic reservoir modeling, for its digital models, its changeable scales, its honoring known information and data and its conveying uncertainty in models, provides a mathematical framework or platform for researchers to integrate multiple data sources and information with different scales into their prediction models. As a fresher method, stochastic reservoir modeling is on the upswing. Based on related works, this paper, starting with Markov property in reservoir, illustrates how to constitute spatial models for catalogued variables and continuum variables by use of Markov random fields. In order to explore reservoir properties, researchers should study the properties of rocks embedded in reservoirs. Apart from methods used in laboratories, geophysical means and subsequent interpretations may be the main sources for information and data used in petroleum exploration and exploitation. How to build a model for flow simulations based on incomplete information is to predict the spatial distributions of different reservoir variables. Considering data source, digital extent and methods, reservoir modeling can be catalogued into four sorts: reservoir sedimentology based method, reservoir seismic prediction, kriging and stochastic reservoir modeling. The application of Markov chain models in the analogue of sedimentary strata is introduced in the third of the paper. The concept of Markov chain model, N-step transition probability matrix, stationary distribution, the estimation of transition probability matrix, the testing of Markov property, 2 means for organizing sections-method based on equal intervals and based on rock facies, embedded Markov matrix, semi-Markov chain model, hidden Markov chain model, etc, are presented in this part. Based on 1-D Markov chain model, conditional 1-D Markov chain model is discussed in the fourth part. By extending 1-D Markov chain model to 2-D, 3-D situations, conditional 2-D, 3-D Markov chain models are presented. This part also discusses the estimation of vertical transition probability, lateral transition probability and the initialization of the top boundary. Corresponding digital models are used to specify, or testify related discussions. The fifth part, based on the fourth part and the application of MRF in image analysis, discusses MRF based method to simulate the spatial distribution of catalogued reservoir variables. In the part, the probability of a special catalogued variable mass, the definition of energy function for catalogued variable mass as a Markov random field, Strauss model, estimation of components in energy function are presented. Corresponding digital models are used to specify, or testify, related discussions. As for the simulation of the spatial distribution of continuum reservoir variables, the sixth part mainly explores 2 methods. The first is pure GMRF based method. Related contents include GMRF model and its neighborhood, parameters estimation, and MCMC iteration method. A digital example illustrates the corresponding method. The second is two-stage models method. Based on the results of catalogued variables distribution simulation, this method, taking GMRF as the prior distribution for continuum variables, taking the relationship between catalogued variables such as rock facies, continuum variables such as porosity, permeability, fluid saturation, can bring a series of stochastic images for the spatial distribution of continuum variables. Integrating multiple data sources into the reservoir model is one of the merits of stochastic reservoir modeling. After discussing how to model spatial distributions of catalogued reservoir variables, continuum reservoir variables, the paper explores how to combine conceptual depositional models, well logs, cores, seismic attributes production history.

人口空间数据误差分析研究

Spatial population data, obtained through the pixeling method, makes many related researches more convenient. However, the limited methods of precision analysis prevent the spread of spatial distribution methods and cumber the application of the spatial population data. This paper systematically analyzes the different aspects of the spatial population data precision, and re-calculates them with the reformed method, which makes breakthrough for the spread of the pixeling method and provides support and reference for the application of spatial population data. The paper consists of the following parts: (2) characters of the error; (2) origins of the error; (3) advancement on the calculating methods of the spatial population data. In the first place, based on the analysis of the error trait, two aspects of the spatial population data precision are characterized and analyzed: numerical character and spatial distributing character. The later one, placed greater emphasis on in this paper, is depicted in two spatial scales: county and town. It is always essential and meaningful to the research in this paper that spatial distribution is as important as numerical value in analyzing error of the spatial distributed data. The result illustrates that the spatial population data error appears spatially in group, although it is random in the aspect of data statistics, all of that shows there lies spatial systematic error. Secondly, this paper comes to conclude and validate the lineal correlation between the residential land area (from 1:50000 map and taken as real area) and population. Meanwhile, it makes particular analysis on the relationship between the residential land area, which is obtained from the land use map and the population in three different spatial scales: village, town and county, and makes quantitative description of the residential density variation in different topological environment. After that, it analyzes the residential distributing traits and precision. With the consideration of the above researches, it reaches the conclusion that the error of the spatial distributed population is caused by a series of factors, such as the compactness of the residents, loss of the residential land, the population density of the city. Eventually, the paper ameliorates the method of pixeling the population data with the help of the analysis on error characters and causes. It tests 2-class regionalization based on the 1-class regionalization of China, and resorts the residential data from the land use map. In aid of GIS and the comprehensive analysis of various data source, it constructs models in each 2-class district to calculate spatial population data. After all, LinYi Region is selected as the study area. In this area, spatial distributing population is calculated and the precision is analyzed. All it illustrates is that new spatial distributing population has been improved much. The research is fundamental work. It adopts large amounts of data in different types and contains many figures to make convincing and detailed conclusions.

基于GIS的高速公路养护管理信息系统的设计与开发

China is experiencing a rapid development of highway ever since 1990s. By the end of 2004, the total length of the highway summed up to 33 thousand kilometers, ranking 2n in the world. After the open of highway, the accumulation of time and traffic causes the decrease of its capability. To ensure its good quality, security and operation functions, we should take some reasonable measures to maintain it periodically. At present, a big problem is that the traditional maintain measures can no longer meet the increasing requirements. Due to the characters of highway, the relationship of various maintenance data and geographic positions is even closer than any others. If we wan to improve the quality and efficiency of the maintenance work, particularly when there is need for decision-making, a great number of data that is related to geographic positions are absolutely necessary. Evidently, Geographical Information System (GIS) has incomparably advantages in dealing with these spatial information. As a result, a management system for highway maintenance work based on GIS became inevitable for the development of the maintenance of highway. The purpose of this paper is to establish a management system for highway maintenance work base on Geographical Information System (GIS), Global Positioning System (GPS) and spatial database, to manage all kinds of problems encountered in the work, and to provide support on information and methods. My study mainly includes: (1) Analysis on the current status of the maintenance and management work; overview on the history of domestic and international highway maintenance management systems; identifying the necessity and importance for establishing a management system for highway maintenance work based on GIS. (2) Based on the requirement analysis, I proposed a general design for this management system, and discussed the objective, design principles, framework, systematical structure and function design. (3) Outdoor data collection is not only a prime way to understand the current situation of the road, but also an important method for data update after the system is put into use. This paper also intends to establish a set of plan to collect data efficiently and precisely which is based on GIS and GPS technologies. (4) The maintenance management database is a supporting platform for various maintenance decision-makings. Such decisions need the support of a great amount of data, which would cause other problems, such as the diversity of the data source, difference of data formats. This paper also discussed how to deal with these problems and establish such a database. (5) To propose an approach to assess the condition of pavement, based on GIS and related maintenance models. Among all the maintenance models, the two for assessing and forecasting pavement condition are the most important and mature. This paper also analyzed these two models and introduced them in terms of the integration of models. (6) This paper took the Guangshen Highway for example, explaining how to realize a GIS for management of highway maintenance work.

Mining Anomalies Using Traffic Feature Distributions

The increasing practicality of large-scale flow capture makes it possible to conceive of traffic analysis methods that detect and identify a large and diverse set of anomalies. However the challenge of effectively analyzing this massive data source for anomaly diagnosis is as yet unmet. We argue that the distributions of packet features (IP addresses and ports) observed in flow traces reveals both the presence and the structure of a wide range of anomalies. Using entropy as a summarization tool, we show that the analysis of feature distributions leads to significant advances on two fronts: (1) it enables highly sensitive detection of a wide range of anomalies, augmenting detections by volume-based methods, and (2) it enables automatic classification of anomalies via unsupervised learning. We show that using feature distributions, anomalies naturally fall into distinct and meaningful clusters. These clusters can be used to automatically classify anomalies and to uncover new anomaly types. We validate our claims on data from two backbone networks (Abilene and Geant) and conclude that feature distributions show promise as a key element of a fairly general network anomaly diagnosis framework.

Student voice in Irish post-primary schools: a drama of voices

This research is an exploration of the expression of student voice in Irish post-primary schools and how its affordance could impact on students’ and teachers’ experiences in the classroom, and at whole-school level through a student council. Student voice refers to the inclusion of students in decisions that shape their experiences in classrooms and schools, and is fundamental to a rights-based perspective that facilitates students to have a voice and a say in their education. Student voice is essential to the development of democratic principles, active citizenship, and learning and pedagogy. This qualitative research, based in three post-primary case-study schools, concerns teachers in eighteen classrooms engaging in dialogic consultation with their students over one school year. Teachers considered the students’ commentary and then adjusted their practice. The operation of student councils was also examined through the voices of council members, liaison teachers and school principals. Theorised within socio-cultural (social constructivist), social constructionist and poststructural frames, the complexity of student voice emerges from its conceptualisation and enactment. Affording students a voice in their classroom presented positive findings in the context of relationships, pedagogical change and students’ engagement, participation and achievement. The power and authority of the teacher and discordant student voices, particularly relating to examinations, presented challenges affecting teachers’ practice and students’ expectations. The functional redundancy of the student council as a construct for student voice at whole-school level, and its partial redundancy as a construct to reflect prefigurative democracy and active citizenship also emerge from the research. Current policy initiatives in Irish education situate student voice in pedagogy and as dialogic consultation at classroom and whole-school level. This work endorses the necessity for and benefit of such a positioning with the author further arguing that it should not become the instrumental student voice of data source, accountability and performativity.