pyAXL ist eine Programmierschnittstelle (API) zur Steuerung des "Cisco Call Manager", eine enterprise-VoIP-Verwaltung. Der Vortrag zeigt, wie pyAXL aufgebaut ist. An ein paar Beispielen wird die Verwendung von pyAXL demonstriert.

This report discusses network automation primarily with Ansible. Ansible is a software from Red Hat that can be used for network automation. The report also goes through YAML which is a standardized way of exchanging data, Jinja2 that is a templating language, Python as well as the security with Ansible. The report also goes through why network automation is needed as well as how much time might be saved with Ansible. Ansible ships with modules for Cisco IOS such as ios_config and ios_command and for Cisco ASA asa_config, asa_command and asa_acl as well as many other modules for Arista, Juniper and for other vendors. Ansible can use new APIs by creating new modules for handling that particular API, which means that the only change needed in the playbooks is to change the module name. Ansible can handle NETCONF API using the netconf_config module or various Juniper modules. Ansible is used in this report to perform certain tasks such as to adding VLAN's, close ports on ASA's, audit network devices configuration as well as to create network diagram using the information from CDP. Ansible can be made as secure as manually doing the tasks except that Ansible can do it faster and more consistently.  For connecting to normal Linux servers Ansible uses OpenSSH which is a default SSH client on most Linux systems and for connecting to network devices it uses Paramiko. The security in Ansible depends on SSH and may or may not have passwords stored locally, Ansible can be as secure as the administrator wants it to be such as using RSA key-pair to authenticate, using vault encrypted credentials or asking the administrator about which username and password to use. Using Ansible network automation can save time, the amount saved depends on what is being done, how many devices it is doing it on as well as how the playbook is written. / Rapporten behandlar nätverksautomation primärt i Ansible. Ansible är en mjukvara från Red Hat som kan användas för nätverksautomering. Rapporten går igenom YAML som är ett sätt att standardisera överförning av data, Jinja2 som är ett mallspråk, Python samt säkerheten i Ansible. Rapporten går dessutom igenom varför vi ens vill ha nätverksautomation och hur mycket tid som möjligtvis kan sparas. Ansible kommer med moduler för Cisco IOS som exempelvis ios_config och ios_command och för Cisco ASA finns moduler så som asa_config, asa_command och asa_acl. För andra tillverkare så finns det moduler för Arista, Juniper och för andra leverantörer. Om en ny API kommer ut för en ny enhet så kan en ny Ansible modul skapas som använder denna, vilket betyder att Ansible playbooks kan då använda sig av de nya modulerna med samma struktur som tidigare. Ansible kan hantera NETCONF API med hjälp av netconf_config modulen och av flertalet Juniper moduler. Ansible kan användas på ett lika säkert sätt som manuellt arbete, med undantag på att Ansible gör det snabbare och mer konsekvent. För uppkoppling till vanliga Linux-servrar så använder Ansible OpenSSH klienten som standard och mot nätverksenheter utan Python installerat så används Python biblioteket Paramiko. Ansible använder sig av SSH och kan ha lösenord sparat i playbooken, utanför i annan fil, i ett krypterat vault, fråga användaren som användarnamn och lösenord samt autentisering med hjälp av RSA nycklar. Ansible används för att skapa olika VLAN, stänga portar på en ASA, granska nätverksenhetens konfiguration gentemot vad den borde ha för konfiguration samt för att skapa nätverksdiagram baserat på informationen från CDP. Genom att använda sig av Ansible nätverksautomation så kan tid sparas, hur mycket beror helt på vad som ska göras, hur många enheter det ska göras på samt hur playbooken faktiskt är skapad.

A presente pesquisa tem por objetivo desenvolver um sistema automático de detecção de eixos de caminhões a partir de imagens. Para isso, são apresentados dois sistemas automáticos: o primeiro para extração de imagens de caminhões a partir de filmagens de tráfego rodoviário feitas em seis locais de uma mesma rodovia situada no Estado de São Paulo, e o segundo, para detecção dos eixos dos caminhões nas imagens. Ambos os sistemas foram fundamentados em conceitos de Processamento de Imagens e Visão Computacional e o desenvolvimento foi feito utilizando programação em linguagem Python e as bibliotecas OpenCV e SciKit. O salvamento automático das imagens de caminhões foi necessário para a construção do banco de imagens utilizado no outro método: a detecção dos eixos dos veículos identificados. Neste estágio foram realizadas a segmentação da imagem do caminhão, a detecção propriamente dita e a classificação dos eixos. Na segmentação dos veículos, utilizou-se as técnicas de limiarização adaptativa seguida de morfologia matemática e em outra ocasião, o descritor de texturas LBP; enquanto na detecção, a Transformada de Hough. Da análise de desempenho desses métodos, a taxa de salvamento das imagens foi 69,2% considerando todos os caminhões que se enquadraram nos frames. Com relação às detecções, a segmentação das imagens dos caminhões feita utilizando limiarização adaptativa com morfologia matemática ofereceu resultados de 57,7% da detecção do total de eixos dos caminhões e 65,6% de falsas detecções. A técnica LBP forneceu, para os mesmos casos, respectivamente, 68,3% e 84,2%. O excesso de detecção foi um ponto negativo dos resultados e pode ser relacionado aos problemas do ambiente externo, geralmente intrínsecos às cenas de tráfego de veículos. Dois fatores que interferiram de maneira significativa foram a iluminação e a movimentação das folhas e galhos das árvores devido ao vento. Desconsiderando esse inconveniente, derivado dos fatores recém citados, as taxas de acerto dos dois tipos de segmentação aumentariam para 90,4% e 93,5%, respectivamente, e as falsas detecções mudariam para 66,5% e 54,7%. Desse modo, os dois sistemas propostos podem ser considerados promissores para o objetivo proposto. / This research aims to develop an automatic truck axle detection system using images. Two automatic systems are presented: one for the extraction of truck images from road videos recorded in a São Paulo state highway and one for the axle detection on images. Both systems are based on Image Processing and Computational Vision techniques, with using programming in Python and OpenCV and SciKit libraries. The truck image extraction system was necessary for the creation of image base, to be used on the axle detection system. Thereunto, image segmentation, axle detection and classification on images were made. In segmentation was used adaptive threshold technique, followed by mathematical morphology and on another time, LBP texture descriptors; for detection, was used Hough Transform. Performance analysis on these methods wielded 69.2% on image save rate, on trucks entirely framed on the image. About axle detection, the truck image segmentation using a combination of adaptive threshold and mathematical morphology wielded 57.7% on axle detection, whilst achieving 65.6% of false detection. Using LBP wielded, on the same images, 68.3% on axle detection and 84.2% of false detection. These excesses was a negative result and can be related to intrinsic issues on the external road traffic environment. Two main factors affected the result: lighting condition changes and the movement of tree leaves and branches. Disregarding these two factors, the proposed system had 90.4% axle truck detection rate using adaptive threshold and mathematical morphology and 93.5% using LBP, and the false detection, changed for 66.5% e 54.7%. Thus, both proposed systems are considered promising.

Submitted by Luciana Ferreira (lucgeral@gmail.com) on 2017-10-16T11:41:10Z No. of bitstreams: 2 Dissertação - Giovanna Moreno Parizotto - 2017.pdf: 2790011 bytes, checksum: 84424125a05214d9b7536300c92cae6b (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2017-10-16T11:42:54Z (GMT) No. of bitstreams: 2 Dissertação - Giovanna Moreno Parizotto - 2017.pdf: 2790011 bytes, checksum: 84424125a05214d9b7536300c92cae6b (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Made available in DSpace on 2017-10-16T11:42:54Z (GMT). No. of bitstreams: 2 Dissertação - Giovanna Moreno Parizotto - 2017.pdf: 2790011 bytes, checksum: 84424125a05214d9b7536300c92cae6b (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2017-09-14 / In this qualitative research with case study elements, we discuss why the use of notions of structured programming in Python language constituted as a manipulation of the play culture for the teaching of Physics in the first year of the High School, at night. Manipulation in this case, refers us to aspects related to notions of game and characteristics related to the game, recognizing the game as a place of emergency of the ludic culture. This theme is related to the teacher training of the researcher, who seeks to enrich the student's playful culture in which she has greater didactic difficulty. In the course of the research, the researchers find several characteristics of the games during the interventions. This process is discussed as to the characteristics of the philosophical game proposed by Brougère (1998) and also to the typical behaviors of them, considered as primary impulses by Caillois (1990), related to the term game. We also relate corruption characteristics of these primary impulses to the lubricant ludic term. / Nesta pesquisa qualitativa com elementos de estudo de caso discutimos por que o uso de noções de programação estruturada em linguagem Python constituiu-se como uma manipulação da cultura lúdica para o ensino de Física no primeiro ano do Ensino Médio noturno. Manipulação neste caso, remete-nos a aspectos ligados a noções de jogo e características relacionadas ao jogos, reconhecendo o jogo como lugar de emergência da cultura lúdica. Tal temática está de encontro a formação docente da pesquisadora, que busca enriquecer a cultura lúdica do alunado no qual possui maior dificuldade didática. No decorrer da pesquisa, os pesquisadores encontram várias características dos jogos durante as intervenções. Tal processo é discutido quanto as características do jogo filosófico propostas por Brougère (1998) e também aos comportamentos típicos dos mesmos, tidos como impulsões primárias por Caillois (1990), relacionado ao termo jogo. Relacionamos ainda características de corrupções destas impulsões primárias ao termo lúdico lúbrico.

O Presente trabalho é o estudo das funcionalidades de um descritor e sua aplicabilidade em análise musical tendo como ponto de partida a obra a Ladainha de Nossa Senhora de Faustino Xavier do Prado. Utilizaremos os intervalos melódicos existentes na Ladainha como padrões para verificar similaridades nos contextos; Brasil, Itália e Portugal. Utilizaremos como ferramenta de busca de padrões o software MelodicMatch e desenvolveremos um software para tratar os resultados obtidos organizando-os em uma proposta metodológica que estará descrita na própria aplicação. / The present work is the study of the features of a descriptor and its use in musical analysis taking as its starting point the work of the Ladainha de Nossa Senhora - Faustino Xavier del Prado. We will use existing melodic intervals in the Ladainha as standards for checking similarities in the contexts; Brazil, Italy and Portugal. We will use as standards search tool MelodicMatch the software and develop software to handle the results organizing them into a methodology that will be described in the application itself.

The constant improvement in computer application development techniques, combined with the technological advancement of electronic devices that support such systems, comes with the most contributing significantly different areas of knowledge, adding to these, often, greater accuracy and agility in their processes. Based on this context, and returning our looks for areas of geographic information System (GIS), and Digital image processing, the development of two programs that serve as a proposal of technological innovation as regards the vectorization of areas of interest on satellite images, and creating the buffer variable on the same, this variation that follows the characteristics of width of the area considered. Both programs were developed in the Python programming language and has as final product a shape file containing the vectorization of all areas found in a satellite image by means of classification or filtering. Also presents itself in this work the manipulation of files generated, in order to guide the actions necessary to use, in the best way, the product of these programs, thus helping the user of GIS computer systems for the performance and accuracy of their work. / O constante aperfeiçoamento nas técnicas de desenvolvimento de aplicativos computacionais, associado ao avanço tecnológico dos dispositivos eletrônicos que suportam tais sistemas, vem contribuindo significativamente com as mais diversas áreas do conhecimento, agregando a estas, muitas vezes, maior precisão e agilidade em seus processos. Com base neste contexto, e voltando nossos olhares para as áreas de Sistema de Informações Geográficas (SIG), e Processamento Digital de Imagens, realizou-se o desenvolvimento de dois programas que servissem como proposta de inovação tecnológica no que diz respeito à vetorização de áreas de interesse sobre imagens de satélite, e criação de buffer variável sobre as mesmas, variação esta que segue as características de largura da área analisada. Ambos os programas foram desenvolvidos na linguagem de programação Python e tem como produto final um arquivo shape contendo a vetorização de todas as áreas encontradas em uma imagem de satélite por meio de classificação ou filtragem desta. Também se apresenta neste trabalho a manipulação dos arquivos gerados, a fim de nortear as ações necessárias para que se utilize, da melhor forma, o produto desses programas, desta maneira auxiliando o usuário dos sistemas computacionais de SIG referente ao desempenho e precisão do seu trabalho.

Existem várias linguagens e plataformas que permitem a programação baseada no modelo de atores, uma solução elegante para a programação concorrente proposta há algumas décadas. Segundo esse modelo, implementa-se o programa na forma de uma série de agentes que são executados em paralelo e se comunicam entre si somente por meio da troca de mensagens, sem a necessidade de memória compartilhada ou estruturas tradicionais de sincronização como semáforos e mutexes. Uma das áreas nas quais esse modelo seria particularmente adequado é a programação de aplicações web, isto é, aplicações cujas lógicas de negócios e de dados residem num servidor e que são acessadas pelo usuário por intermédio de um navegador. Porém, existem muitos obstáculos ao desenvolvimento de aplicações desse tipo, entre eles a falta de linguagens e ferramentas que permitam integrar tanto o servidor quanto o cliente (navegador) no modelo de atores, as dificuldades de conversões de dados que se fazem necessárias quando o servidor e o cliente são desenvolvidos em linguagens diferentes, e a necessidade de contornar as dificuldades inerentes aos detalhes do protocolo de comunicação (HTTP). O PAWEB é uma proposta de uma plataforma para o desenvolvimento e execução de aplicações web que fornece a infraestrutura necessária para que tanto o lado cliente quanto o lado servidor do aplicativo hospedado possam ser escritos numa mesma linguagem (Python), e possam criar e gerenciar atores que trocam mensagens entre si,tanto local quanto remotamente, de maneira transparente e sem a necessidade de implementar conversões de dados ou outros detalhes de baixo nível. / There are several programming languages and platforms that allow the development of systems based on the actor model, an elegant solution for concurrent programming proposed a few decades ago. According to this model, the program is implemented in the form of several agents that run concurrently and only communicate amongst themselves through the exchange of messages, without the need for shared memory or traditional synchronization structures such as semaphores and mutexes. One of the areas where this model would be particularly appropriate would be the development of web applications, that is, applications whose business and database logic reside on the server and are accessed by the user by means of a web browser. However, there are several obstacles to the development of this type of application, amongst them the lack of languages and tools that allow for the integration of both the server and the client (browser) into the actor model, data conversion difficulties arising from using different programming languages on the server and the client, and the need to circumvent the inherent difficulties posed by the details of the communications protocol (HTTP). PAWEB is a proposal for an application development and execution platform that supplies the infrastructure needed so that both the server and client sides of the hosted application can be written in the same language (Python) and so that they may create and manage actors that exchange messages with one another, both locally and remotely, in a transparent manner and without the need to implement data conversions or other low-level mechanisms.

Samhället går idag bort från centraliserad energi mot decentraliserade system. Istället för att köpa från stora företag som skapar el från fossila bränslen har många förnybara alternativ kommit. Eftersom konsumenter kan generera solenergi med solpaneler kan de också bli producenter. Detta skapar en stor marknad för handel av el mellan konsumenter i stället för företag. Detta skapar ett så kallat mikronät. Syftet med denna avhandling är att hitta en lösning för att köpa och sälja på dessa mikronät. Genom att använda en Q-learning-lösning med OpenAI Gym-verktygslådan och en mikronätsimulering syftar denna avhandling till att svara på följande frågor: I vilken utsträckning kan Qlearning användas för att köpa och sälja energi i ett mikrosystem, hur lång tid tar det köp och sälj algoritm för att träna och slutligen påverkar latens genomförbarheten av Q-learning för mikronät. För att svara på dessa frågor måste jag mäta latens och utbildningstid för Q-learninglösningen. En neural nätverkslösning skapades också för att jämföra med Q-learning-lösningen. Från dessa resultat kunde jag säga att en del av det inte var så tillförlitligt, men vissa slutsatser kunde fortfarande göras. För det första är den utsträckning som Q-learning kan användas för att köpa och sälja ganska bra om man bara tittar på noggrannhetsresultaten på 97%, men detta sitter på mikronätets simulering för att vara korrekt. Hur lång tid det tar att köpa och sälja algoritm för att träna uppmättes till cirka 12 sekunder. Latensen anses vara noll med Q-learning-lösningen, så den har stor genomförbarhet. Genom dessa frågor kan jag dra slutsatsen att en Q-learning OpenAI Gym-lösning är genomförbart. / Society is today moving away from centralized power towards decentralized systems. Instead of buying from large companies that create electricity from fossil fuels, many renewable alternatives have arrived. Since consumers can generate solar power with solar panels, they can also become the producers. This creates a large market for trading electricity between consumer instead of companies. This creates a so called microgrid. The purpose of this thesis is to find a solution to buying and selling on these microgrids. By using a Q-learning solution with the OpenAI Gym toolkit and a microgrid simulation this thesis aims to answer the following questions: To what extent can Q-learning be used to buy and sell energy in a microgrid system, how long does it take the buy and sell algorithm to train and finally does latency affect the feasibility of Q-learning for microgrids. To answer these questions, I must measure the latency and training time of the Q-learning solution. A neural network solution was also created to compare to the Q-learning solution. From these results I could tell some of it was not that reliable, but some conclusions could still be made. First, the extent that Q-learning can be used to buy and sell is quite great if just looking at the accuracy results of 97%, but this is on the microgrid simulation to be correct. How long it takes to buy and sell algorithm to train was measured to about 12 seconds. The latency is considered zero with the Q-learning solution, so it has great feasibility. Through these questions I can conclude that a Qlearning OpenAI Gym solution is a viable one.

The thesis deals with calculation of foundation of pilot bases. In the first part, the author focuses on the numerical application of the Final Element Method for calculating the internal forces on the pilot and the software implementation of the proposal by the Masopust pilot (2nd Limit State). The second, practical part uses previous knowledge and created program to calculate the foundation of the bridge pillar on the bypass around Opava.

Målen med denna studie är att implementera en testmiljö för streaming telemetry samt jämföra två alternativ för att möjliggöra realtidsanalys av det insamlade datat. Dessa två alternativ är Python-biblioteken PyKafka och Confluent-Kafka-Python. Bedömningskritierna för jämförselsen var dokumentation, kodmängd och minnesanvändning. Testmiljön för streaming telemetry använder en router med Cisco IOS XR programvara som skickar data till en Cisco Pipeline collector, som vidare sänder datat till ett Kafka-kluster. Jämförelsen av Python-biblioteken utfördes med språket Python. Resultaten av jämförelsen visade att båda biblioteken hade välskriven dokumentation och liten skillnad i kodmängd, dock använde Confluent-Kafka-Python mindre minne. Studien visar att streaming telemetry med realtidsanalys kan fungera bra som ett komplement till eller en ersättning av SNMP. Studien rekommenderar användning av Confluent-Kafka-Python för implementering i produktionsmiljöer med ett stort antal nätverksenheter med tanke på den lägre minnesanvändningen. / The goals of this study are to implement a test environment for streaming telemetry and compare two alternatives for analysing the collected data in realtime. The two alternatives are the Python libraries PyKafka and Confluent-Kafka-Python. The comparison focused mainly on three areas, these being documentation, amount of code and memory usage. The test environment for streaming telemetry was set up with a router running IOS XR software that is sending data to a Cisco Pipeline collector, which in turn sends data to a Kafka-cluster. The comparison of the two libraries for interfacing with the cluster was made with the language Python. The results of the comparison showed that both libraries had well-written documentation and showed a negligible difference in amount of code. The memory usage was considerably lower with the Confluent-Kafka-Python library. The study shows that streaming telemetry together with real-time analysis makes a good complement to or a replacement of SNMP. The study further recommends the use of Confluent-Kafka-Python in real-world implementations of streaming telemetry, particularly in large networks with a large amount of devices.