Integrating inaccessibility in response time analysis of CAN networks

Controller Area Network (CAN) is a fieldbus network suitable for small-scale Distributed Computer Controlled Systems, being appropriate for transferring short real-time messages. Nevertheless, it must be understood that the continuity of service is not fully guaranteed, since it may be disturbed by temporary periods of network inaccessibility [1]. In this paper, such temporary periods of network inaccessibility are integrated in the response time analysis of CAN networks. The achieved results emphasise that, in the presence of temporary periods of network inaccessibility, a CAN network is not able to provide different integrity levels to the supported applications, since errors in low priority messages interfere with the response time of higher priority message streams.

A two-competitive approximate schedulability analysis of CAN

Consider the problem of deciding whether a set of n sporadic message streams meet deadlines on a Controller Area Network (CAN) bus for a specified priority assignment. It is assumed that message streams have implicit deadlines and no release jitter. An algorithm to solve this problem is well known but unfortunately it time complexity is non-polynomial. We present an algorithm with polynomial time-complexity for computing an upper bound on the response times. Clearly, if the upper bound on the response time does not exceed the deadline then all deadlines are met. The pessimism of our approach is proven: if the upper bound of the response time exceeds the deadline then the response time exceeds the deadline as well for a CAN network with half the speed.

Controlo difuso de um AGV

Neste trabalho pretende-se introduzir os conceitos associados à lógica difusa no controlo de sistemas, neste caso na área da robótica autónoma, onde é feito um enquadramento da utilização de controladores difusos na mesma. Foi desenvolvido de raiz um AGV (Autonomous Guided Vehicle) de modo a se implementar o controlador difuso, e testar o desempenho do mesmo. Uma vez que se pretende de futuro realizar melhorias e/ou evoluções optou-se por um sistema modular em que cada módulo é responsável por uma determinada tarefa. Neste trabalho existem três módulos que são responsáveis pelo controlo de velocidade, pela aquisição dos dados dos sensores e, por último, pelo controlador difuso do sistema. Após a implementação do controlador difuso, procedeu-se a testes para validar o sistema onde foram recolhidos e registados os dados provenientes dos sensores durante o funcionamento normal do robô. Este dados permitiram uma melhor análise do desempenho do robô. Verifica-se que a lógica difusa permite obter uma maior suavidade na transição de decisões, e que com o aumento do número de regras é possível tornar o sistema ainda mais suave. Deste modo, verifica-se que a lógica difusa é uma ferramenta útil e funcional para o controlo de aplicações. Como desvantagem surge a quantidade de dados associados à implementação, tais como, os universos de discurso, as funções de pertença e as regras. Ao se aumentar o número de regras de controlo do sistema existe também um aumento das funções de pertença consideradas para cada variável linguística; este facto leva a um aumento da memória necessária e da complexidade na implementação pela quantidade de dados que têm de ser tratados. A maior dificuldade no projecto de um controlador difuso encontra-se na definição das variáveis linguísticas através dos seus universos de discurso e das suas funções de pertença, pois a definição destes pode não ser a mais adequada ao contexto de controlo e torna-se necessário efectuar testes e, consequentemente, modificações à definição das funções de pertença para melhorar o desempenho do sistema. Todos os aspectos referidos são endereçados no desenvolvimento do AGV e os respectivos resultados são apresentados e analisados.

Controlo e monitorização de um sistema de Auto-Pull

Esta dissertação descreve o estudo do controlo e da monitorização de um sistema de autopull, bem como o estudo da implementação de um destes sistemasnuma área de negócio. Inicialmente, de modo a percecionar as melhores opções a tomar para a realização deste projeto foram estudadas duas redes de comunicação locais, redes Ethernet e redes CAN, tendo-se optado pelas redes Ethernet, sendo as razões que determinaram esta escolha explanadas no desenvolvimento do relatório. Após ter sido selecionada a rede que foi utilizada, foram estudados os requisitos do sistema e procuradas no mercado soluções que os satisfaçam. Para a comunicação em tempo real foram utilizadas Web Sockets e para a utilização destas,foi necessário um servidor de Web Sockets, tendo a escolha recaídosobre onodejs. Posteriormente, foi elaborada uma interface gráfica que permitiu a criação de um sistema inteligente que auxilia os clientes do espaço a efetuarem pedidos bem como a chamarem os funcionários, não necessitando de passar os longos tempos de espera que normalmenteestão associados a estes espaços. Posto isto, foi realizado um website que deverá apresentar o espaço, os próximos eventos a realizar e outras informações importantes. Este sistema torna-se uma mais-valia para a divulgação da tecnologia implementada e para a divulgação dos espaços que eventualmente venham a adotar um sistema análogo. De seguida foi efetuado um plano de negócios, simulando um espaço físico que eventualmente implementasse esta tecnologia. Para tal, foi estudada a envolvente externa e interna em que este negócio estaria inserido, as políticas de marketing que deveriam ser seguidas e ainda um plano financeiro que descrevesse o investimento, as vendas esperadas e todos os restantes componentes económicos do projeto. Por último foram tecidas as principais conclusões inerentes ao projeto desenvolvido e analisadas as possibilidades de melhorias futuras.

Alueellinen verkostoituminen. Case: Kaakkois-Suomen TE-keskus

Tutkimuksen tavoitteena on selvittää Kaakkois-Suomen TE-keskuksen toiminta-ajatuksen ja vision toteutumista alueellisten yhteistyökump-paneiden (ulkoinen näkökulma) ja henkilöstön (sisäinen näkökulma) kannalta, millä lailla he ovat kokeneet voineensa vaikuttaa alueellisten toimijoiden verkostoon, ja minkälaisia rooleja on löydettävissä verkostosta. Tutkimus on kaksiosainen sisältäen kvalitatiivisen teoriaosan, ja empiiriaosan. Teoriaosassa määritellään verkostokäsite ja verkostopiirteitä. Lisäksi pohditaan motiiveja verkostoitumiseen ja tutkitaan erilaisia verkostojaotteluja. Alueellista verkostoitumista käsitellään ei-hyötyä-tavoittelevan organisaation näkökulmasta. Lisäksi käydään läpi organisaation sisäistä näkökulmaa verkostoiduttaessa sekä sitä, voiko verkostoa johtaa. Tutkimuksen empiiriaosassa teemahaastatellaan alueellisia yhteistyökumppaneita sekä henkilöstön edustajia. Tutkimuksen perusteella voidaan todeta, että toiminta-ajatus on sisäistetty verkoston toiminnan lähtökohdaksi. Koetaan, että verkostoon voidaan vaikuttaa, mutta verkoston johtaminen on tilannekohtaista. Verkoston toimivuutta lisäävät siinä toimivien henkilöiden keskinäinen luottamus ja aktiivinen tiedonkulku. Käytännössä roolien erittely ei ole selkeätä, vaan eri roolit sekottuvat tilanteen mukaan. Vapaamuotoiset foorumit koetaan erityisen hedelmällisiksi uusia innovaatioita luotaessa ja hyvä käytäntöjä hyödynnettäessa.

Kotkan kaupungin ja lähialueen sähkönjakeluverkon kehittämissuunnitelma

Kotkan jakelualueella käytetään historiallisista syistä keskijänniteverkossa kahta jänniteta-soa, 10 kV ja 20 kV. Eri jännitetasojen lisäksi Kotkan jakelualueen 110/20 päämuuntajien kytkentäryhmänä on käytössä YNyn0, kun taas muualla verkossa käytetään YNd11 kyt-kentäryhmää. Jännitetasoista ja kytkentäryhmistä johtuen Kotkan jakeluverkon yhteenkyt-kettävyys ympäröivän verkon kanssa on haastavaa. Työn tavoitteena on selvittää Kotkan kaupungin keskijänniteverkon nykytila ja käytettä-vyys häiriötilanteissa pahimpana mahdollisena aikana, sekä löytää mahdolliset ongelma-kohdat. Verkon nykytila tarkasteltiin verkkotietojärjestelmän avulla käyttäen laskennallisia tuloksia, jotka skaalattiin vastaamaan kovemman pakkastalven kuormitusta. Skaalaus teh-tiin useamman vuoden takaiseen tilanteeseen, jolloin yleinen taloustilanne oli parempi ja verkon kuormitus suurempi, jolloin verkko ei tule alimitoitetuksi taloustilanteen parantuessa. Tulevaisuuden varalta muodostettiin alueen tulevaisuuden kuormitusennusteet käyttämällä historiatietoja sekä tulevaisuuden näkymiä apuna. Työn keskeisimmäksi sisällöksi muodostui selvittää tarve usean käyttöjännitteen säilyttä-miselle sekä erilaisten kytkentäryhmien ylläpitämiseen ja kosketusjänniteongelman ratkai-seminen. Alueen sähköverkon kehittämiseksi tehtiin useita eri vaihtoehtoja, joita vertailtiin elinkaarikustannusperiaatteella toisiinsa. Vertailun pohjalta saatiin investointistrategia ehdo-tukset, joiden pohjalta verkkoyhtiö voi tehdä tulevaisuuteen sijoittuvia ratkaisuja.

An Implemented of a Real-Time Experimental Setup for Robotic Teleoperation System

The development of this work presents the implementation of an experimental platform, which will permit to investigate on a methodology for the design and analysis of a teleoperated system, considering the delay in the communication channel. The project has been developed in partnership with the laboratory of Automatic and Robotics of the Universidad Politécnica de Madrid and the Laboratory at the Centro de Tecnologías Avanzadas de Manufactura at the Pontificia Universidad Católica del Perú. The mechanical structure of the arm that is located in the remote side has been built and the electric servomechanism has been mounted to control their movement. The experimental test of the Teleoperation system has been developed. The PC104 card commands the power interface and sensors of the DC motor of each articulation of the arm. Has developed the drives for the management of the operations of the master and the slave: send/reception of position, speed, acceleration and current data through a CAN network. The programs for the interconnection through a LAN network, between the Windows Operating System and the Real-time Operating System (QNX), has been developed. The utility of the developed platform (hardware and software) has been demonstrated.

Can We Predict The Clinical Outcomes Of Genitourinary Trauma Patients And Offer Them An Evidence-based Support? The Case For Telemedicine Network.

32

Going Beyond Seizure Control: Can Pharmacotherapy Help To Restore Cognitive Network Function?

83

Discovering biomarkers for antidepressant response: protocol from the Canadian biomarker integration network in depression (CAN-BIND) and clinical characteristics of the first patient cohort

Background Major Depressive Disorder (MDD) is among the most prevalent and disabling medical conditions worldwide. Identification of clinical and biological markers (“biomarkers”) of treatment response could personalize clinical decisions and lead to better outcomes. This paper describes the aims, design, and methods of a discovery study of biomarkers in antidepressant treatment response, conducted by the Canadian Biomarker Integration Network in Depression (CAN-BIND). The CAN-BIND research program investigates and identifies biomarkers that help to predict outcomes in patients with MDD treated with antidepressant medication. The primary objective of this initial study (known as CAN-BIND-1) is to identify individual and integrated neuroimaging, electrophysiological, molecular, and clinical predictors of response to sequential antidepressant monotherapy and adjunctive therapy in MDD. Methods CAN-BIND-1 is a multisite initiative involving 6 academic health centres working collaboratively with other universities and research centres. In the 16-week protocol, patients with MDD are treated with a first-line antidepressant (escitalopram 10–20 mg/d) that, if clinically warranted after eight weeks, is augmented with an evidence-based, add-on medication (aripiprazole 2–10 mg/d). Comprehensive datasets are obtained using clinical rating scales; behavioural, dimensional, and functioning/quality of life measures; neurocognitive testing; genomic, genetic, and proteomic profiling from blood samples; combined structural and functional magnetic resonance imaging; and electroencephalography. De-identified data from all sites are aggregated within a secure neuroinformatics platform for data integration, management, storage, and analyses. Statistical analyses will include multivariate and machine-learning techniques to identify predictors, moderators, and mediators of treatment response. Discussion From June 2013 to February 2015, a cohort of 134 participants (85 outpatients with MDD and 49 healthy participants) has been evaluated at baseline. The clinical characteristics of this cohort are similar to other studies of MDD. Recruitment at all sites is ongoing to a target sample of 290 participants. CAN-BIND will identify biomarkers of treatment response in MDD through extensive clinical, molecular, and imaging assessments, in order to improve treatment practice and clinical outcomes. It will also create an innovative, robust platform and database for future research.

How complex a dynamical network can be?

Positive Lyapunov exponents measure the asymptotic exponential divergence of nearby trajectories of a dynamical system. Not only they quantify how chaotic a dynamical system is, but since their sum is an upper bound for the rate of information production, they also provide a convenient way to quantify the complexity of a dynamical network. We conjecture based on numerical evidences that for a large class of dynamical networks composed by equal nodes, the sum of the positive Lyapunov exponents is bounded by the sum of all the positive Lyapunov exponents of both the synchronization manifold and its transversal directions, the last quantity being in principle easier to compute than the latter. As applications of our conjecture we: (i) show that a dynamical network composed of equal nodes and whose nodes are fully linearly connected produces more information than similar networks but whose nodes are connected with any other possible connecting topology; (ii) show how one can calculate upper bounds for the information production of realistic networks whose nodes have parameter mismatches, randomly chosen: (iii) discuss how to predict the behavior of a large dynamical network by knowing the information provided by a system composed of only two coupled nodes. (C) 2011 Elsevier B.V. All rights reserved.

Development of heterogeneous node network using microcontroller with protocols CAN and Zigbee

In this paper was proposed the development of an heterogeneous system using the microcontroller (AT90CANI28) where the protocol model CAN and the standard IEEE 802.15.4 are connected. This module is able to manage and monitor sensors and actuators using CAN and, through the wireless standard 802.15.4, communicate with the other network modules. © 2011 IEEE.

How network operators can enhance ambient assisted living applications through next generation networks

Within the technological framework of Information and Communication Technologies (ICT), consumers are currently requesting multimedia services with simplicity of use, reliability, security and service availability through mobile and fixed access. Network operators are proposing the Next Generation Networks (NGN) to address the challenges of providing both services and network convergence. Apart from these considerations, there is a need to provide social and healthcare assistance services in order to support the progressive aging in the elderly population. In order to achieve this objective, the Ambient Assisted Living (AAL) initiative proposes ICT systems and services to promote autonomy and an independent life among the elderly. This paper describes the design and implementation of a group of services, called “service enablers”, which helps AAL applications to be supported in NGN. The presented enablers are identified to support the teleconsulting applications requirements in an NGN environment, involving the implementation of a virtual waiting room, a virtual whiteboard, a multimedia multiconference and a vital-signs monitoring presence status. A use case is defined and implemented to evaluate the developed enablers' performance.

Discovering biomarkers for antidepressant response:protocol from the Canadian biomarker integration network in depression (CAN-BIND) and clinical characteristics of the first patient cohort

Background: Major Depressive Disorder (MDD) is among the most prevalent and disabling medical conditions worldwide. Identification of clinical and biological markers ("biomarkers") of treatment response could personalize clinical decisions and lead to better outcomes. This paper describes the aims, design, and methods of a discovery study of biomarkers in antidepressant treatment response, conducted by the Canadian Biomarker Integration Network in Depression (CAN-BIND). The CAN-BIND research program investigates and identifies biomarkers that help to predict outcomes in patients with MDD treated with antidepressant medication. The primary objective of this initial study (known as CAN-BIND-1) is to identify individual and integrated neuroimaging, electrophysiological, molecular, and clinical predictors of response to sequential antidepressant monotherapy and adjunctive therapy in MDD. Methods: CAN-BIND-1 is a multisite initiative involving 6 academic health centres working collaboratively with other universities and research centres. In the 16-week protocol, patients with MDD are treated with a first-line antidepressant (escitalopram 10-20 mg/d) that, if clinically warranted after eight weeks, is augmented with an evidence-based, add-on medication (aripiprazole 2-10 mg/d). Comprehensive datasets are obtained using clinical rating scales; behavioural, dimensional, and functioning/quality of life measures; neurocognitive testing; genomic, genetic, and proteomic profiling from blood samples; combined structural and functional magnetic resonance imaging; and electroencephalography. De-identified data from all sites are aggregated within a secure neuroinformatics platform for data integration, management, storage, and analyses. Statistical analyses will include multivariate and machine-learning techniques to identify predictors, moderators, and mediators of treatment response. Discussion: From June 2013 to February 2015, a cohort of 134 participants (85 outpatients with MDD and 49 healthy participants) has been evaluated at baseline. The clinical characteristics of this cohort are similar to other studies of MDD. Recruitment at all sites is ongoing to a target sample of 290 participants. CAN-BIND will identify biomarkers of treatment response in MDD through extensive clinical, molecular, and imaging assessments, in order to improve treatment practice and clinical outcomes. It will also create an innovative, robust platform and database for future research. Trial registration: ClinicalTrials.gov identifier NCT01655706. Registered July 27, 2012.