Expert system to calculate the cofficient of friction : an approach to enhance traffic safety

Friction plays a key role in causing slipperiness as a low coefficient of friction on the road may result in slippery and hazardous conditions. Analyzing the strong relation between friction and accident risk on winter roads is a difficult task. Many weather forecasting organizations use a variety of standard and bespoke methods to predict the coefficient of friction on roads. This article proposes an approach to predict the extent of slipperiness by building and testing an expert system. It estimates the coefficient of friction on winter roads in the province of Dalarna, Sweden using the prevailing weather conditions as a basis. Weather data from the road weather information system, Sweden (RWIS) was used. The focus of the project was to use the expert system as a part of a major project in VITSA, within the domain of intelligent transport systems

QoS evaluation of Bandwidth Schedulers in IPTV Networks Offered SRD Fluid Video Traffic

Internet protocol TV (IPTV) is predicted to be the key technology winner in the future. Efforts to accelerate the deployment of IPTV centralized model which is combined of VHO, encoders, controller, access network and Home network. Regardless of whether the network is delivering live TV, VOD, or Time-shift TV, all content and network traffic resulting from subscriber requests must traverse the entire network from the super-headend all the way to each subscriber's Set-Top Box (STB). IPTV services require very stringent QoS guarantees When IPTV traffic shares the network resources with other traffic like data and voice, how to ensure their QoS and efficiently utilize the network resources is a key and challenging issue. For QoS measured in the network-centric terms of delay jitter, packet losses and bounds on delay. The main focus of this thesis is on the optimized bandwidth allocation and smooth data transmission. The proposed traffic model for smooth delivering video service IPTV network with its QoS performance evaluation. According to Maglaris et al [5] first, analyze the coding bit rate of a single video source. Various statistical quantities are derived from bit rate data collected with a conditional replenishment inter frame coding scheme. Two correlated Markov process models (one in discrete time and one in continuous time) are shown to fit the experimental data and are used to model the input rates of several independent sources into a statistical multiplexer. Preventive control mechanism which is to be including CAC, traffic policing used for traffic control. QoS has been evaluated of common bandwidth scheduler( FIFO) by use fluid models with Markovian queuing method and analysis the result by using simulator and analytically, Which is measured the performance of the packet loss, overflow and mean waiting time among the network users.

Reliability of GPS based traffic data: an experimental evaluation

GPS tracking of mobile objects provides spatial and temporal data for a broad range of applications including traffic management and control, transportation routing and planning. Previous transport research has focused on GPS tracking data as an appealing alternative to travel diaries. Moreover, the GPS based data are gradually becoming a cornerstone for real-time traffic management. Tracking data of vehicles from GPS devices are however susceptible to measurement errors – a neglected issue in transport research. By conducting a randomized experiment, we assess the reliability of GPS based traffic data on geographical position, velocity, and altitude for three types of vehicles; bike, car, and bus. We find the geographical positioning reliable, but with an error greater than postulated by the manufacturer and a non-negligible risk for aberrant positioning. Velocity is slightly underestimated, whereas altitude measurements are unreliable.

Benchmark Evaluation of HOG Descriptors as Features for Classification of Traffic Signs

The purpose of this paper is to analyze the performance of the Histograms of Oriented Gradients (HOG) as descriptors for traffic signs recognition. The test dataset consists of speed limit traffic signs because of their high inter-class similarities.   HOG features of speed limit signs, which were extracted from different traffic scenes, were computed and a Gentle AdaBoost classifier was invoked to evaluate the different features. The performance of HOG was tested with a dataset consisting of 1727 Swedish speed signs images. Different numbers of HOG features per descriptor, ranging from 36 features up 396 features, were computed for each traffic sign in the benchmark testing. The results show that HOG features perform high classification rate as the Gentle AdaBoost classification rate was 99.42%, and they are suitable to real time traffic sign recognition. However, it is found that changing the number of orientation bins has insignificant effect on the classification rate. In addition to this, HOG descriptors are not robust with respect to sign orientation.

Traffic and Road Sign Recognition

This thesis presents a system to recognise and classify road and traffic signs for the purpose of developing an inventory of them which could assist the highway engineers’ tasks of updating and maintaining them. It uses images taken by a camera from a moving vehicle. The system is based on three major stages: colour segmentation, recognition, and classification. Four colour segmentation algorithms are developed and tested. They are a shadow and highlight invariant, a dynamic threshold, a modification of de la Escalera’s algorithm and a Fuzzy colour segmentation algorithm. All algorithms are tested using hundreds of images and the shadow-highlight invariant algorithm is eventually chosen as the best performer. This is because it is immune to shadows and highlights. It is also robust as it was tested in different lighting conditions, weather conditions, and times of the day. Approximately 97% successful segmentation rate was achieved using this algorithm.Recognition of traffic signs is carried out using a fuzzy shape recogniser. Based on four shape measures - the rectangularity, triangularity, ellipticity, and octagonality, fuzzy rules were developed to determine the shape of the sign. Among these shape measures octangonality has been introduced in this research. The final decision of the recogniser is based on the combination of both the colour and shape of the sign. The recogniser was tested in a variety of testing conditions giving an overall performance of approximately 88%.Classification was undertaken using a Support Vector Machine (SVM) classifier. The classification is carried out in two stages: rim’s shape classification followed by the classification of interior of the sign. The classifier was trained and tested using binary images in addition to five different types of moments which are Geometric moments, Zernike moments, Legendre moments, Orthogonal Fourier-Mellin Moments, and Binary Haar features. The performance of the SVM was tested using different features, kernels, SVM types, SVM parameters, and moment’s orders. The average classification rate achieved is about 97%. Binary images show the best testing results followed by Legendre moments. Linear kernel gives the best testing results followed by RBF. C-SVM shows very good performance, but ?-SVM gives better results in some case.

Color detection and segmentation for road and traffic signs

This paper aims to present three new methods for color detection and segmentation of road signs. The images are taken by a digital camera mounted in a car. The RGB images are converted into IHLS color space, and new methods are applied to extract the colors of the road signs under consideration. The methods are tested on hundreds of outdoor images in different light conditions, and they show high robustness. This project is part of the research taking place in Dalarna University / Sweden in the field of the ITS.

Manager's task to support integrated autonomy at the workplace : Results from an intervention

A new managerial task arises in today’s working life: to provide conditions for and influence interaction between actors and thus to enable the emergence of organizing structure in tune with a changing environment. We call this the enabling managerial task. The goal of this paper is to study whether training first line managers in the enabling managerial task could lead to changes in the work for the subordinates. This paper presents results from questionnaires answered by the subordinates of the managers before and after the training. The training was organized as a learning network and consisted of eight workshops carried out over a period of one year (September 2009–June 2010), where the managers met with each other and the researchers once a month. Each workshop consisted of three parts, during three and a half hours. The first hour was devoted to joint reflection on a task that had been undertaken since the last workshop; some results were presented from the employee pre-assessments, followed by relevant theory and illuminating practices, finally the managers created new tasks for themselves to undertake during the following month. The subordinates’ answers show positive change in all of the seventeen scales used to assess it. The improvements are significant in scales measuring the relationship between the manager and the employees, as well as in those measuring interaction between employees. It is concluded that the result was a success for all managers that had the possibility of using the training in their management work.

The Profile of a Manager in Higher Education Institution in Latin America: The Case of the EBAPE

The aim of this study is to analyze the profile of today’s manager, according to the classical management literature, working on internationalized higher education institute. This paper draws together knowledge about the manager’s profile in a corporate environment and how it can be appreciated in a higher education institute all of this taking into consideration the environment that nowadays exists in these institutions. Data were collected through semi-structured interviews, with professors of the Fundacao Getulio Vargas, more specific on their Public and Business Administration School (EBAPE), which had active roles on its development, internationalization and during some point in time their management. The findings obtained where analyzed under the perspective brought by the theoretical reference framework, and, based on this approach is represented the manager whom could have a better perspective to administrate a higher education institute.

WISE-MANager: criação e gestão de sessões colaborativas em redes de sensores sem fio

As redes de sensores sem fios (WSN- WSN-Wireless Sensor Network) utilizam um grande número de dispositivos sem fios (sensores), que são de baixo custo e equipados com interfaces wireless. Utilizam um conjunto de sensores autónomos que colaboram entre si para efectuar a monitorização das condições ambientais, tais como: temperatura, oxigénio, luz, humidade, pressão, gases poluentes, entre outras. Estas redes podem operar durante largos períodos de tempo, sem intervenção humana, sendo que esse tempo depende do nível de bateria desses nós. De modo a que os gestores de um Museu possam gerir de forma mais adequada as obras de arte e arquivos históricos, surge o projecto WISE-MUSE – Environmental Monitoring based on Wireless Sensor Networks, que permite implementar soluções para a monitorização museológica, com a utilização de redes de sensores sem fios. Actualmente, a colaboração entre o utilizador e a WSN é muito ténue, sendo que apenas existe colaboração entre os nós sensores. De forma a aumentar esta colaboração, e no âmbito do projecto WISE-MUSE surge o CWSN – Collaborative Wireless Sensor Network Model, que define um modelo de colaboração na rede de sensores sem fios, permitindo a utilização de sessões colaborativas para a monitorização da rede. Com o intuito de obter o máximo rendimento da rede, é necessário definir qual o deployment a utilizar. O tipo de deployment de uma WSN é a forma como os nós são distribuídos pela rede. Em zonas longínquas, ou de difícil acesso, os nós são colocados de forma aleatória, por exemplo, caiem de um avião. Nos locais de fácil acesso, podem ser colocados no local exacto. Portanto, este projecto de Mestrado de Engenharia Informática apresenta duas contribuições principais: (i) um estudo de propagação no Museu da Baleia; e; (ii) o WISE-MANager, um sistema de gestão de sessões colaborativas. De forma a definir qual o deployment da rede a instalar no Museu da Baleia, será apresentado um estudo de propagação do sinal empírico, que determinou a melhor posição física dos nós, para que a rede tenha uma boa performance. O sistema WISE-MANager permite a criação, monitorização e gestão de sessões colaborativas numa WSN baseada no protocolo Zigbee. O intuito da utilização de sessões colaborativas é proporcionar uma melhor interacção entre o utilizador e a WSN, visto que o utilizador pode personalizar o tipo de monitorização a efectuar (por nó sensor, por fenómeno ou por intervalo de tempo), e interrogar à rede e aos seus componentes, aumentando assim a flexibilidade da WSN.A gestão de redes de sensores sem fios é muito importante para que o utilizador tenha controlo sobre a mesma ao saber quais os dispositivos da rede, assim como o seu nível de energia. Por tanto, através de WISE-MANager, os gestores do Museu serão capazes de analisar a rede, detectar eventuais problemas e obter parâmetros específicos.

Soil compaction by machine traffic and least limiting water range related to soybean yield

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Traffic soil compaction of an oxisol related to soybean development and yield

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Mortality rate in children caused by traffic accidents according to geographical regions : Brazil, 1997 - 2005

Lesões fatais em crianças causadas por acidentes de trânsito representam um problema em muitos países. Este estudo analisou a taxa de mortalidade em crianças passageiras de automóveis menores de 10 anos de idade no Brasil, entre 1997 e 2005. Para isso, o número de mortes foi obtido diretamente no banco de dados do Sistema de Informação sobre Mortalidade (SIM) e os dados da população são projeções intercensitárias a partir censo demográfico do Instituto Brasileiro de Geografia e Estatística (IBGE) disponíveis pelo site do DATASUS. Foram calculadas, para os triênios compreendidos no período em estudo, as taxas de mortalidade por acidente de trânsito entre crianças passageiras de automóveis segundo faixa etária (menor que 1 ano, 1 a 4 e 5 a 9) e região geográfica. Os resultados mostraram taxas de mortalidade de 5,68, 7,32 e 6,78 (por 1.000.000), respectivamente, para os períodos 1997-1999, 2000-2002 e 2003-2005 para todo o Brasil. Crianças menores de 1 ano de idade apresentam taxa de mortalidade de 10,18 (por 1,000,000), maior que as observadas para as outras faixas etárias. Para o período 1997-2005, as maiores taxas foram observadas nas regiões Centro-Oeste e Sul, representando, respectivamente, 13,88 e 11,47 (por 1.000.000). Tais resultados mostram a situação de risco da criança em relação a acidentes de trânsito como passageiras de automóveis e contribuem para a elaboração de campanhas educativas de prevenção de lesões.

Tracing heme in a living cell: hemoglobin degradation and heme traffic in digest cells of the cattle tick Boophilus microplus

Heme is present in all cells, acting as a cofactor in essential metabolic pathways such as respiration and photosynthesis. Moreover, both heme and its degradation products, CO, iron and biliverdin, have been ascribed important signaling roles. However, limited knowledge is available on the intracellular pathways involved in the flux of heme between different cell compartments. The cattle tick Boophilus microplus ingests 100 times its own mass in blood. The digest cells of the midgut endocytose blood components and huge amounts of heme are released during hemoglobin digestion. Most of this heme is detoxified by accumulation into a specialized organelle, the hemosome.We followed the fate of hemoglobin and albumin in primary cultures of digest cells by incubation with hemoglobin and albumin labeled with rhodamine. Uptake of hemoglobin by digest cells was inhibited by unlabeled globin, suggesting the presence of receptor-mediated endocytosis. After endocytosis, hemoglobin was observed inside large digestive vesicles. Albumin was exclusively associated with a population of small acidic vesicles, and an excess of unlabeled albumin did not inhibit its uptake. The intracellular pathway of the heme moiety of hemoglobin was specifically monitored using Palladium-mesoporphyrin IX (Pd-mP) as a fluorescent heme analog. When pulse and chase experiments were performed using digest cells incubated with Pd-mP bound to globin (Pd-mP-globin), strong yellow fluorescence was found in large digestive vesicles 4 h after the pulse. By 8 h, the emission of Pd-mP was red-shifted and more evident in the cytoplasm, and at 12 h most of the fluorescence was concentrated inside the hemosomes and had turned green. After 48 h, the Pd-mP signal was exclusively found in hemosomes. In methanol, Pd-mP showed maximal emission at 550 nm, exhibiting a red-shift to 665 nm when bound to proteins in vitro.The red emission in the cytosol and at the boundary of hemosomes suggests the presence of heme-binding proteins, probably involved in transport of heme to the hemosome. The existence of an intracellular heme shuttle from the digestive vesicle to the hemosome acting as a detoxification mechanism should be regarded as a major adaptation of ticks to a blood-feeding way of life. To our knowledge, this is the first direct observation of intracellular transport of heme in a living eukaryotic cell. A similar approach, using Pd-mP fluorescence, could be applied to study heme intracellular metabolism in other cell types.

Urban Traffic Control and Monitoring - An Approach for the Brazilian Intelligent Cities Project

This paper describes an urban traffic control system which aims at contributing to a more efficient traffic management system in the cities of Brazil. It uses fuzzy sets, case-based reasoning, and genetic algorithms to handle dynamic and unpredictable traffic scenarios, as well as uncertain, incomplete, and inconsistent information. The system is composed by one supervisor and several controller agents, which cooperate with each other to improve the system's results through Artificial Intelligence Techniques.