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An upsurge in artworks negotiating the conditions of their own production, distribution, and reception has called attention to the infrastructural relations that shape the art world but have long been understudied. In response, this book introduces the concept of infrastructure aesthetics into the study of culture. The concept is drawn from infrastructure studies, media theory, and aesthetic theory. This volume develops it further, addressing: _the analytical challenge of working with works that blur the boundaries between art and infrastructure, both historically and in the present, _the aesthetic problem of assessing artistic forms that operate on an infrastructural level, and _the politics of artistic agency on a social level, beyond the work's content or message. As the relation between artworks and their institutional and social settings becomes infrastructural in nature, we need to move beyond the reductive division of the study of artworks into production, articulation, and reception. This book provides its readers with an innovative conceptual toolbox designed for precisely this task, as well as a forceful set of exemplary case studies applying the concepts in theory and practice.

In the general turning process, solutions for attaining the tool-workpiece relative position such as in-situ touch probes, external devices mounted with air/electric micrometers, and cameras are either indirect or cost/space-consuming. In this paper, a novel direct contact detection method based on the internal data of the machine tool servo and the self-identification strategy of the rotational center as an application of the detection method are proposed. The former method compares the internal data of the non-contact and contact motions, and then precisely identifies the contact position by processing it backwardly. The latter method makes multiple contacts on the pre-machined surface of the workpiece with a redundant-axis movement, and the rotational center identification is realized using the coordinates of contacts achieved by the former method. The effectiveness of the proposed methods is verified experimentally.

In the general turning process, solutions for attaining the tool-workpiece relative position such as in-situ touch probes, external devices mounted with air/electric micrometers, and cameras are either indirect or cost/space-consuming. In this paper, a novel direct contact detection method based on the internal data of the machine tool servo and the self-identification strategy of the rotational center as an application of the detection method are proposed. The former method compares the internal data of the non-contact and contact motions, and then precisely identifies the contact position by processing it backwardly. The latter method makes multiple contacts on the pre-machined surface of the workpiece with a redundant-axis movement, and the rotational center identification is realized using the coordinates of contacts achieved by the former method. The effectiveness of the proposed methods is verified experimentally.

This report presents an innovative approach to industrial automation, focusing on the development of an automated system for erecting and filling cardboard boxes with wax jars. The project, executed in collaboration with Odigo Consulting and Scandinavian Hair Company (SHC), aimed to showcase enhanced production efficiency for small and medium-sized enterprises through the implementation of collaborative robots and pneumatic systems. The research followed an iterative design methodology, utilizing the principles of Quick-Build Product and spiral product development process. This approach facilitated the rapid prototyping and testing of various design iterations, enabling the team to efficiently address and resolve technical challenges. The project's core involved developing a versatile case erecting track and an end-effector for the cobot, capable of handling both the box erection and product packaging processes. The final system demonstrated the successful integration of cobots into industrial workflows, showcasing the ability to erect cardboard boxes and fill them with wax jars in an efficient and reliable manner. This solution significantly reduced manual labor requirements and streamlined the packaging process, proving to be a valuable asset for SHC's operations. The project's outcome highlights the importance of an adaptive and iterative development approach in industrial automation. The learnings from this venture provide crucial insights for future automation projects, particularly in enhancing the adaptability and efficiency of robotic systems in similar industrial settings. This report not only showcases the successful application of collaborative robotics in real-world scenarios but also contributes valuable knowledge to the field of industrial automation., Enhancing Packaging Processes with Cobots This thesis details on developing an automated system for erecting and filling cardboard boxes with products, aimed at improving efficiency in packaging processes of small and medium-sized enterprises. By integrating collaborative robots and pneumatic systems, new avenues in industrial automation were explored. The focus of the thesis was on addressing a common challenge in small and medium-sized businesses: streamlining the packaging process. The goal was to reduce reliance on manual labor by introducing an automated system that could erect cardboard boxes and fill them with wax jars. This system, developed in partnership with Odigo Consulting and Scandinavian Hair Company, integrated collaborative robots (cobots) with pneumatic systems to enhance production efficiency. The project adopted an iterative design methodology, allowing for quick prototyping and testing. This approach was crucial in overcoming various technical challenges and in developing a versatile case erecting track and an end-effector for the cobot. The end-effector was specifically designed to handle both box erection and product packaging, a key factor in the project's success. Upon completion, the system demonstrated its capability to efficiently and reliably automate the packaging process. This was a significant step forward in reducing manual labor and streamlining operations, particularly beneficial for the operations at Scandinavian Hair Company. The project's results underscore the value of adaptable and iterative approaches in industrial automation. While the focus was on a specific application in packaging, the insights gained have broader implications, especially in enhancing the adaptability and efficiency of robotic systems in similar settings. The thesis contributes practical knowledge to the field of industrial automation, showcasing how collaborative robotics can be effectively implemented to address real-world industrial challenges.

This work evaluates the efficiency and quality of drug substance and product automated sample preparation for liquid chromatography analysis in comparison to the manual preparation technique. Despite the potential advantages of process automation in improving efficiency, accuracy, and precision while reducing time and resources, sample preparation in the early phases of drug development in the pharmaceutical industry is predominantly performed manually. Moreover, recent literature comparing manual and automated methods in this context is limited. Additionally, assessing the uncertainty inherent in analytical measurements is often overlooked, yet crucial for ensuring data quality and reliability. This work aims to evaluate the equivalence of manual and automated sample preparation methods and to assess the associated measurement uncertainties, with the goal to improve efficiency and quality in analytical workflows by implementing automated systems. An automated workflow for sample preparation of drug substance and product was established using the Tecan Fluent liquid handling system. A comprehensive method validation, including specificity, accuracy, precision, linearity, limit of quantification, and stability in solution, was conducted for both manual and automated sample preparation of drug substance and drug product. Furthermore, a thorough uncertainty analysis was performed to judge reliability of the manual and automated method. The manual and automated sample preparation and analysis were both successfully validated, yielding equivalent results, although the manual procedure exhibited higher accuracy. Implementation of the automated workflow resulted in a 72% reduction in hands-on analyst time, and a 69% reduction in required solvent volume. The uncertainty analysis revealed a higher uncertainty for the automated approach compared to the manual sample preparation. While the manual method delivers results with better quality, the automated procedure demonstrated, Discovering and developing new medicines is crucial for public health, and verifying their quality at every step of this process is equally important. This involves analysing drugs in detail, often using advanced techniques that require meticulous preparation of the drug samples, ensuring that, for example, a tablet preparation can be effectively analysed using specific instruments. While automated systems have improved this process, the pharmaceutical industry has been slow to fully adopt them, leading to the continued use of manual sample preparation methods, which can be time consuming and resource intensive. Several studies suggest that automated sample preparation could offer equivalent results to manual methods while saving time, costs, and resources. However, understanding the precision (how close measurement results in a series are to each other) and accuracy (how close measurement results are to the true value) of automated approaches compared to manual ones remains an area of research. This work aims to address this gap by establishing an automated sample preparation workflow and comparing it with the manual procedure. This includes an evaluation of both methods for their suitability in drug analysis, investigating various parameters, including accuracy and precision, according to regulatory validation guidelines. Additionally, the measurement uncertainty, describing the level of doubt associated with the exact value of a result due to factors like equipment limitations or variations in conditions, for both the manual and automated sample preparation are assessed to judge the quality and reliability of the measurements. The study has shown that both methods generally yielded similar results, with the automated workflow proving suitable for drug sample preparation and analysis. However, the manual method demonstrated slightly higher accuracy and a lower uncertainty, indicating higher quality. Automation, on the other hand, reduced the hands-on analyst time

we discuss the uses of robotic automation in manufacturing. Automation can assist the manufacturing industry by reducing labor costs substantially, increase quantity or generate more output for a given period of time, improve product quality, and mitigate risk. This chapter provides an introduction to the uses of robotic automation in manufacturing. It begins by describing what robots are. Robotic automation is applicable to virtually any industry imaginable. It is used in manufacturing to change the industry landscape by increasing productivity, repeatability, and precision while protecting employees from unsafe working environments. This paper provides an introduction on the uses of robotic automation in manufacturing. In this paper we will discuss. Automation and Robotics in Manufacturing.

In the dynamic field of web development, neural networks have become pivotal, offering revolutionary approaches to website creation. As technology advances, these networks transition from being mere tools to catalysts for innovation, addressing the growing need for personalization, optimization, and functionality in web resources. However, with the increasing capabilities of neural networks, questions arise about their potential to replace traditional web developers. This article examines the role of neural networks in modern web development, analysing the prospects and challenges of their potential to supplant human developers. Recent research highlights the collaborative potential between humans and AI in web development, significantly enhancing efficiency, quality, and speed. Notable works include the automation of design aspects using neural networks, automatic code generation, and user behaviour analysis to optimize user experience (UX). Collaboration between humans and artificial intelligence (AI) is a promising direction in website development. This collaboration can significantly increase the efficiency, quality and speed of creating web resources. Tools like generative adversarial networks (GANs), neural networks for UI optimization, and AI-driven website builders like Stunning.so, Durable, and Framer AI exemplify these advancements. These tools can automate routine tasks, rapidly generate website designs, and optimize content for various devices, allowing developers to focus on more creative aspects. The article aims to explore the impact of neural networks on the web development process, identifying potential benefits and challenges. While neural networks can automate and optimize many aspects of web development, enhancing productivity and quality, they also pose risks such as loss of creativity, security concerns, dependence on technology, and potential job displacement. Balancing these factors is crucial for leveraging the full potential of neural netwo

The modern trends in the development of cargo equipment in ports are considered in the article. Modern ports are an  important link in global supply chains, and the efficiency of their work directly affects the cost of goods and related services  provided during cargo transshipment, storage, and passage through port terminals. Cargo equipment used at various stages  of cargo transshipment plays an important role in optimizing port operations.Using universal equipment significantly increases the productivity of the port, reduces the downtime of ships and other types  of transport, and allows efficient use of warehouse space and available personnel. The main problem that ports face when  choosing equipment is its cost and payback period, which directly affect the efficiency of the port and its competitiveness.Throughout historical development, ports have had both a negative and a positive impact on the regions and communities in  which they are located. On the one hand, they contribute to the development of the region, its transport and logistics  infrastructure, can stimulate economic productivity and growth, and on the other hand, their activity requires energy, creates  negative external effects, worsens the ecological situation in the region.The issue of the development of cargo equipment and the efficiency of its use is relevant and requires further research in  connection with the emergence of new trends related to the automation and robotization of these processes, the introduction  of elements of artificial intelligence, which significantly increase the problem of ensuring cyber security of the port.Automation of the port industry contributes to the transformation of traditional ports into smart global transport complexes. The effectiveness of their activities is determined primarily by the use of advanced technologies and practices, and the results affect not only the cost of port services, but also the reduct

This thesis details the development, implementation, and optimization of a local microservice designed to enhance invoice processing at Hulo, a company that manages au- tomatic payment invoices. This is conducted through Artificial Intelligence (AI) and Machine Learning (ML) techniques, focusing particularly on Computer Vision and Object- detection. Motivated by the need to address the inefficiencies of traditional manual processing which is error-prone, slow, and costly, this project employs a structured methodological approach. Initial data gathering, meticulous data labeling, and extensive training and validation of an AI model using tools like Roboflow [1] are key components. The chosen You Only Look Once (YOLO) model [2], known for its robust object detection capabilities, demonstrates significant improvements in recognizing and classifying invoice data through successive training phases. Challenges such as class imbalances are tackled through dataset enrichment and augmen- tation techniques, enhancing the model’s robustness and generalization capability across diverse invoice formats. The system effectively transforms invoices into structured JSON data, thus automating and streamlining business practices. The thesis encapsulates the project’s journey from conceptualization to deployment, highlighting strategic solutions for data quality enhancement and computational efficiency. The challenges and opportunities of the transition of this microservice into a production environment, where it undergoes rigorous real-world testing, ensures robustness, data security, and operational reliability. The successful implementation of this project underscores AI’s role in improving business processes and aligning with industry trends toward digital automation and intelligent systems.

The web services that millions of people count on require large-scale computer resources (servers, nodes, networking) and an intricate set of interdependent software services. Under pressure to continually improve these services, code and configuration changes are deployed hundreds or thousands of times every day. Unforeseen issues and vulnerabilities during the deployment process can lead to costly incidents. As society increasingly relies on web services across industries, it is imperative to better understand how engineers make decisions when deploying code and configuration changes to create safer deployment mechanisms that increase confidence for engineers. There is a lack of research on the lived experiences of engineers who deploy changes to software or configuration in production environments. In this qualitative study, 15 participants were interviewed to better understand their lived experiences deploying code and configuration changes. Phenomenological explicitation guided the data analysis. The findings of this study indicated that perceptions of uncertainty and risk, temporal reasoning, and relationships influenced engineers’ deployment decisions. Participants also offered feedback on what they would change to make their deployment decision-making safer. Organizations should reduce the risk and uncertainty engineers face when making deployment decisions, recognize how temporal reasoning influences decision-making, and cultivate environments in which relationships are recognized as influencing engineers’ confidence in decision-making.

Att byggsektorn står inför ett rådande klimatnödläge är ett faktum. Idag investeras hundratals miljarder kronor för att i framtiden kunna producera fossilfritt stål; trots det läggs lite fokus på miljöoptimering av konstruktioner. Syftet med arbetet är att utvärdera hur parametrisk design kan användas som verktyg för att miljöoptimera stålstommar i industritrapptorn samt undersöka vilken profiltyp som ger minst klimatavtryck. Parametrisk design innebär att man med hjälp av variabler och designparametrar bygger upp geometrin för konstruktioner. Genom att ändra de parametriserade variablerna kan man enkelt ändra en konstruktions geometri. Trapptorn är konstruktioner med hög redundans och geometrin har en enkel matematisk beskrivning, vilket gör det relativt enkelt att använda parametrisk design för den typen av konstruktion. Arbetet tar enbart hänsyn till miljöpåverkan av trapptornets bärande stålstomme och dess rostskyddsmålning. De profiltyper som analyseras är kvadratiska kallformade konstruktionsrör (KKR), kvadratiska varmformade konstruktionsrör (VKR) och HEA-profiler. HEA-profiler har ett lägre klimatavtryck per kg stål jämfört med konstruktionsrören men har en större mantelarea, vilket ökar åtgången av rostskyddsmålning. Huvuddelen av arbetet gick ut på att skapa ett skript i det parametriska verktyget Grasshopper. Skriptet använder parametrisk design för att automatisera uppbyggandet av trapptornsmodeller. Användaren anger indata som till exempel våningshöjder och lutning på trappan, därefter bygger skriptet upp en trapptornsgeometri som förhåller sig till relevanta standarder och byggregler. Grasshopper-skriptet innehåller även en koppling till FEM-programvaran RFEM 6 samt den genetiska optimeringsalgoritmen Galapagos. All data som krävs för att utföra en FEM-analys skapas i Grasshopper och exporteras sedan till RFEM 6 där analyserna utförs. Resultatet importeras sedan tillbaka till Grasshopper och utvärderas av Galapagos. Galapagos kan därefter påbörja en ny, The fact that the construction sector faces a prevailing climate emergency is undeniable. Today, hundreds of billions of kronor are being invested to develop fossil-free steel; yet little focus is placed on environmental optimization of constructions. The purpose of this work is to evaluate how parametric design can be used as a tool for environmental optimization of steel staircase towers, as well as to investigate which type of profile provides the least climate impact. Parametric design means that geometry of the structure is built up using variables and design parameters. By changing the parametrized variables, the geometry can be easily altered. Staircase towers are constructions with high redundancy, and the geometry has a simple mathematical description. This makes it relatively easy to use parametric design for this type of structure. The work only considers the environmental impact of the load bearing elements and its corrosion protection paint. The profile types analysed are cold-formed structural tubes (CFRHS), square hot-formed structural tubes (HFRHS), and HEA profiles. HEA profiles have a lower climate footprint per kilogram of steel compared to the structural tubes but have a larger surface area, which increases the amount of corrosion protection paint required. The main part of the work involved creating a script in the parametric tool Grasshopper. The script uses parametric design to automate the creation of calculation models for the towers. The user enters data such as floor heights and the inclination of the stairs, and then the script builds up a stair tower geometry that adheres to relevant standards and building regulations. The Grasshopper script also includes a link to the FEM software RFEM 6 and the genetic optimization algorithm Galapagos. All the data required to perform an FEM analysis is created in Grasshopper and then exported to RFEM 6, where the analyses are performed. The result is then imported back to Grasshopper and evaluated by, Parametrisk design i kombination med miljöoptimering kan minska byggsektorns klimatavtryck avsevärt. Dessa verktyg möjliggör för konstruktören att snabbt undersöka, optimera och därmed minska en stålkonstruktions utsläpp.

Cloud Security Posture Management (CSPM) tools have become essential in addressing the growing security challenges faced by organizations as they migrate to cloud environments. This study explores the effectiveness of CSPM tools in automating the identification and response to security risks within cloud infrastructures, highlighting their role in reducing misconfigurations, improving compliance, and enhancing overall security posture. Through a mixed-method approach, combining a comprehensive literature review, a survey of IT security professionals, and detailed case study analyses, this research provides a robust evaluation of CSPM tools' capabilities and the challenges associated with their implementation. The findings reveal that organizations utilizing CSPM tools experience significant reductions in security incidents and operational inefficiencies, with automation playing a crucial role in enabling real-time threat detection and response. However, the study also identifies critical barriers to CSPM adoption, including integration complexities, cost concerns, and organizational resistance to automated security solutions. These challenges suggest that while CSPM tools offer substantial benefits, their successful deployment requires careful planning, adequate resource allocation, and strategic change management to address both technical and human factors. This study contributes to the existing literature by providing detailed insights into the practical applications and limitations of CSPM tools, offering valuable guidance for organizations seeking to enhance their cloud security strategies through automation.

Cloud Security Posture Management (CSPM) tools have become essential in addressing the growing security challenges faced by organizations as they migrate to cloud environments. This study explores the effectiveness of CSPM tools in automating the identification and response to security risks within cloud infrastructures, highlighting their role in reducing misconfigurations, improving compliance, and enhancing overall security posture. Through a mixed-method approach, combining a comprehensive literature review, a survey of IT security professionals, and detailed case study analyses, this research provides a robust evaluation of CSPM tools' capabilities and the challenges associated with their implementation. The findings reveal that organizations utilizing CSPM tools experience significant reductions in security incidents and operational inefficiencies, with automation playing a crucial role in enabling real-time threat detection and response. However, the study also identifies critical barriers to CSPM adoption, including integration complexities, cost concerns, and organizational resistance to automated security solutions. These challenges suggest that while CSPM tools offer substantial benefits, their successful deployment requires careful planning, adequate resource allocation, and strategic change management to address both technical and human factors. This study contributes to the existing literature by providing detailed insights into the practical applications and limitations of CSPM tools, offering valuable guidance for organizations seeking to enhance their cloud security strategies through automation.

This systematic review, based on the analysis of 130 peer-reviewed articles, explores the strategic integration of lean manufacturing with Industry 4.0 technologies, focusing on the role of the Internet of Things (IoT), artificial intelligence (AI), and big data analytics in enhancing lean practices. Using the PRISMA guidelines, the study identified key synergies between lean and Industry 4.0, demonstrating how these technologies facilitate real-time data collection, predictive maintenance, and process optimization, all of which align with lean’s core principles of waste reduction and continuous improvement. The review also highlights significant challenges to this integration, including high implementation costs, workforce skill gaps, and resistance to organizational change, particularly within small and medium-sized enterprises. Additionally, emerging trends suggest that the future of lean-Industry 4.0 integration will increasingly focus on sustainability, with companies leveraging digital tools to enhance energy efficiency and reduce environmental waste. The findings underscore the need for further research to address these challenges and explore scalable solutions that can drive the broader adoption of lean-Industry 4.0 integration in diverse industrial contexts. &nbsp

This systematic review, based on the analysis of 130 peer-reviewed articles, explores the strategic integration of lean manufacturing with Industry 4.0 technologies, focusing on the role of the Internet of Things (IoT), artificial intelligence (AI), and big data analytics in enhancing lean practices. Using the PRISMA guidelines, the study identified key synergies between lean and Industry 4.0, demonstrating how these technologies facilitate real-time data collection, predictive maintenance, and process optimization, all of which align with lean’s core principles of waste reduction and continuous improvement. The review also highlights significant challenges to this integration, including high implementation costs, workforce skill gaps, and resistance to organizational change, particularly within small and medium-sized enterprises. Additionally, emerging trends suggest that the future of lean-Industry 4.0 integration will increasingly focus on sustainability, with companies leveraging digital tools to enhance energy efficiency and reduce environmental waste. The findings underscore the need for further research to address these challenges and explore scalable solutions that can drive the broader adoption of lean-Industry 4.0 integration in diverse industrial contexts. &nbsp

This paper presents the development and implementation of a deep learning model for predicting and automating spatial decisions in interior design. The model combines convolutional neural networks (CNNs) for visual data analysis and recurrent neural networks (RNNs) for text query processing, which allows for comprehensive information processing and personalised design solutions. The study results show high model accuracy, low cross-entropy, and high average object and IoU accuracy, which confirms its effectiveness compared to traditional methods and existing AI models. The model's integration into an interior design decision support system is provided by a user-friendly interface and interaction with popular CAD systems, which contributes to the continuity of workflows and overall efficiency. The use of cloud-based technologies for data storage and processing ensures scalability and performance of the system. The study also identified several challenges, including ensuring data privacy and security, which require further attention. The proposed model has great potential for implementation in practice, ensuring high quality and personalisation of design solutions, taking into account the individual needs of users.

Internet of Things (IoT) is the amalgamation of hardware, like sensors and trackers, which monitor several parameters of the environment or physical objects, and software that processes all the data gathered by hardware. Globally, the IoT market is anticipated to reach 53.8 billion USD by 2025. This enhancing demand is due to its innate ability to automate, which drives several industries to adopt IoT. In addition, minimum memory cost, processing, and storage with an increase in Big Data (BD), cloud, and conjunction of industrial networks and the internet are the added factors for the increase in IoT development. Due to this significance, IoT has applications in numerous areas like medical management, farming, wearable technology, smart energy meters, smart cities, etc. The applications are not limited to the examples mentioned above. Considering this, existing studies have considered different applications and attempted to execute them. As different applications have been focused on by these studies, the present review intends to provide a compilation of potential applications of IoT as considered by conventional research between 2018 and 2022. The study also intends to explore the advantages and disadvantages of different IoT applications (deliberated by conventional studies) through tabular analysis. Further, this review emphasizes IoT’s major key challenges and countermeasures to resolve its security issues. Finally, the study affords recommendations that will assist all IoT experts in bringing IoT products with enhanced security into the market.

Introduction. In today's world, where digital technologies are developing rapidly, electronic document management is becoming more and more common. Business entities exchange primary documents and submit reports to regulatory bodies with the help of modern document management programsIn this article, the author considered automated enterprise reporting systems as one of the components of electronic document flow. The regulatory and legal support for the preparation and submission of electronic reporting is considered. State-of-the-art software used by enterprises for automated reporting is defined. The main functional capabilities of the main software products for automated reporting are also considered, in particular the web service "Electronic Account of the Taxpayer", the programs "Single window for submitting electronic reporting" and "M.E.Doc"Results. Electronic document management is a high-tech and progressive approach to significantly increasing the efficiency of state and local self-government bodies. The absence of the need to manually reproduce documents, track the movement of paper documents within the organization, control the procedure for transferring confidential information significantly reduces labor costs. End-to-end automatic control of execution at all stages of work with documents dramatically increases the quality of work of executors, makes the terms of preparation of documents more predictable and manageable. The "Taxpayer's Electronic Cabinet" web service is an information and telecommunication system created to ensure that taxpayers and government bodies exercise their rights and responsibilities. The software "Specialized client software for generating and submitting reports to the "Single window for submitting electronic reporting"" is intended for generating reports to the Pension Fund of Ukraine, the State Statistics Service of Ukraine, the State Tax Service of Ukraine, as well as imposing electronic digital signatures and encryption o

Tato práce se zabývá navržením lineárního manipulátoru s gripperem. Nejdříve navrhneme 3D model. Poté pomocí elektronických součástek a mikropočítače Arduino Mega2560 práci zprovozníme., This project focuses on designing and constructing linear manipulator with a gripper. First, we will design a 3D model. Then using electronic components and an Arduino Mega2560 microcontroller, we will operationalize the project., Fakulta elektrotechniky a informatiky, Cíle bakalářské práce byly splněny. Celková koncepce řešení je založena především na vlastním návrhu, realizaci a testování konstrukce laboratorního přístroje, s využitím komerčně dostupných elektronických modulů, mechanických komponent a vlastních mechanických dílů, navržených studentem v 3D software a realizovaných technologií 3D tisku., Dokončená práce s úspěšnou obhajobou

Tato diplomová práce se zabývá zavedením nového systému výroby v podobě robotické ruky do vybraného podniku. Analyzuje přínosy, výzvy a strategie spojené s implementací robotických technologií do výrobních procesů. Zabývá se faktory úspěšného zavádění, včetně technických specifikací, operačních požadavků a lidských zdrojů. Důraz je kladen na optimalizaci výrobních operací, zlepšení efektivity a kvality výroby pomocí moderních technologií. Cílem této práce je poskytnout pochopení nejlepších postupů pro efektivní integraci robotické ruky do výrobního prostředí s ohledem na konkurenceschopnost a inovaci., This diploma thesis deals with the introduction of a new production system in the form of a robotic hand in a selected company. It analyzes the benefits, challenges and strategies associated with the implementation of robotic technologies in production processes. It addresses the factors of successful implementatiton, including technical specifications, operational requirementrs and human resources. Emphasis is placed on optimizing production operations, improving efficiency and production quality using modern technologies. The goal of this work is to provide an understanding of the best practices for the effective integration of the robotic hand into the manufacturing environment wit regard to competitiveness and innovation., Fakulta ekonomicko-správní, Studentka přednesla téma své DP Zavedení nového systému výroby ve vybraném podniku, vedoucí a oponent v posudcích DP pokládají následující otázky či náměty: Jak se sledovaný podnik dále připravuje na příchod průmyslu 4.0 z hlediska svého výrobního procesu? Jak se změní samotné pracovní podmínky pracovníků ve výrobě po plném zavedení robotické ruky a jak jsou současní zaměstnanci připravováni na úplný přechod sledované technologie do procesu výroby? Jakými konkrétními postupy se bude zajišťovat bezpečnost pracovníků v blízkosti robotické ruky a dojde k použití senzorů pro detekci přítomnosti lidských pracovníků a automatické zastavení robotického procesu v případě detekce nebezpečí? Kolik prostředků z cizích zdrojů a kolik prostředků z vlastních zdrojů je vynaloženo na nákup robotické ruky? Jaký je poměr mezi těmito dvěma typy financování? Otázky a náměty z rozpravy: Jaká bude výkonnost robotické ruky oproti současnému řešení? U obrázků Vám chybí plné citace (rok publikace) a další drobné formální náležitosti. Již jsou ve firmě zavedeny nějaké metody lean managementu? Studentka otázky zodpověděla., Dokončená práce s úspěšnou obhajobou

Tato diplomová práce se zabývá tvorbou laboratorního modelu řízení otáček ventilátoru, využitelného při výuce automatizace. Teoretická část se zabývá komerčními laboratorními modely, rodinou mikrokontrolérů Arduino, možnostech programování v prostředí Arduino IDE a Matlab, a jejich vzájemné komunikaci. V praktické části je proveden návrh modelu, konstrukce a programového řešení v obou prostředích., This thesis deals with the development of a laboratory model of fan speed control, useful in teaching automation. The theoretical part deals with commercial laboratory models, the Arduino microcontroller family, the possibilities of programming in the Arduino IDE and Matlab environment, and how they can communicate with each other. In the practical part, the model design, construction and programming solution in both environments is performed., Fakulta elektrotechniky a informatiky, Cílem práce bylo navrhnout a vytvořit jednoduchou laboratorní soustavu "řízení otáček ventilátoru" s mikrokontrolérem Arduino a napojení na prostředí MATLAB. Student dokázal vytvořit funkční laboratorní model, který je schopen demonstrovat různé metody řízení otáček ventilátoru. Model je jednoduchý na ovládání, cenově dostupný a snadno manipulovatelný, což je pro výukové účely velmi vhodné. Všechny body zadání práce byly splněny., Dokončená práce s úspěšnou obhajobou

Bakalářská práce se zaměřuje na přenos a zpracování objednávek ve společnosti MD logistika. Cílem je analyzovat aktuální stav a navrhnout automatizaci zpracování objednávek pro zvýšení efektivity a snížení nákladů na tuto činnost. Závěrem jsou představeny doporučení pro další automatizaci zpracování objednávek ve společnosti MD logistika a.s., The Bachelor thesis focuses on the transfer and processing of orders in the company MD logistika. The aim is to analyze the current situation and propose automation of order processing to increase efficiency and reduce the cost of this activity. Finally, recommendations for further automation of order processing in MD logistika a.s. are presented., Dopravní fakulta Jana Pernera, Student přednesl ucelenou a logicky uspořádanou obhajobu své bakalářské práce. V ní dokázal přesvědčivým způsobem obhájit závěry svých řešení. U doplňkových otázek prokázal schopnost logického myšlení, Dokončená práce s úspěšnou obhajobou

Diplomová práce se zaměřuje na problematiku organizace provozu na trase C pražského metra v přechodném období z konvenčního systému na plánovaný provoz automatizovaný. Cílem práce je navrhnout konkrétní postupy pro zajištění koordinace smíšeného provozu v tomto přechodném období., This master thesis focuses on the issue of the organization of operation on line C of the Prague metro during the transition period from the conventional system to the planned automated operation. The aim of the thesis is to propose specific procedures for ensuring the coordination of mixed traffic in this transition period., Dopravní fakulta Jana Pernera, Student přednesl ucelenou a logicky uspořádanou obhajobu své diplomové práce. V ní dokázal přesvědčivým způsobem obhájit závěry svých řešení. Na připomínky reagoval správně a v plném rozsahu je zodpověděl. U doplňkových otázek prokázal schopnost logického myšlení, pohotové reakce, jasného a srozumitelného vysvětlení., Dokončená práce s úspěšnou obhajobou

Diplomová práce se zabývá pokročilou automatizací komerčně vyráběného technologického zařízení, které je standartně používáno pro povlakování malých dílců. Vylepšení, které očekáváme od automatizace, pomůže ke zkvalitnění konečných výrobků. Součástí práce je realizace a nastavení automatického programu., The thesis deals with the advanced automation of a commercially produced technological device, which is standardly used for coating small parts. The improvements expected from automation will help to improve the quality of the final products. The implementation and setup of the automation program is part of the thesis., Fakulta elektrotechniky a informatiky, Cílem práce byl návrh a realizace automatizace technologického zařízení. Praktická část práce popisuje postup vlastní modernizace vybraného zařízení. Student v této fázi pracoval iniciativně a zcela samostatně. Zvolil jako cíl implementace vestavbu řídicího PLC automatu, s grafickým HMI panelem, který bude sloužit pro přehlednější a snadnější ovládání stroje. Tento zvolený cíl v praktické části diplomové práce realizoval a úspěšně otestoval. Diplomant splnil všechny body zadání v plném rozsahu., Dokončená práce s úspěšnou obhajobou

The main objective of this thesis is to apply advanced process mining techniques to a real case study of an internal revenue recognition process for a type of service offered by HP Printing and Computing Solutions, S.L.U (which must remain confidential) to identify bottlenecks, teams that need to improve their performance to avoid delays either in revenue recognition, enabling service delivery in a timely manner, and improving forecasting regarding which quarter the delivery is planned for, thus facilitating financial recognition. All of this is achieved through the application of advanced process mining techniques using the Apromore analysis program and subsequently Python for automating the mentioned process. To achieve this, and based on the data shared by the company, a significant challenge exists in evaluating and acquiring data for process mining in a more efficient manner, observe patterns, trends, understand how different categories of services behave in these cases, and make better decisions when planning and executing them. Currently, this process is performed manually, which requires more time dedication as it involves merging different datasets from various systems into an Excel file, where exceptions are processed, and patterns are individually identified. This can also lead to manual errors in the process and require each verification to be manual. Therefore, through the development of this thesis, it will be possible not only to visualize the flow of the end-to-end process by analyzing the event logs but also to implement its automation, using Python as the main program, specifically the PM4PY library, while also ensuring the data's quality and appropriateness for process mining. This study's findings indicate that preprocessing techniques significantly affect process mining tasks'efficiency. Data cleaning needs vary based on event log characteristics, such as bulkiness, a broad range in trace set size, and activity duration changes. Hence, deploying

Can everything – including vision, flexibility, imagination and other skills often associated with creative practices – be turned into data? Should artists feel threatened by AIs that compose music, make animation movies or write novels? Or is there something intrinsically uncomputable in the artistic mind? Are predictive algorithms creators’ friends or foes? Can you automate artistic processes and gestures? Artist Sanela Jahić collaborates with engineers, lecturers in creative and social computing as well as experts in health informatics to investigate workers’ subordination to machinery, the possible automation of artistic practices and the role of algorithms in the transition towards authoritarianism., https://www.librarystack.org/future-behind-us-taming-ai-playing-ai-the/?ref=unknown

Smart cities across the world are pioneering chatbots, autonomous vehicles and AI technologies to help streamline bureaucratic services, facilitate police recruitment, fill in potholes or locate resources at the library. Could algorithmic systems of control and governance be applied to all public services? Could an ultra-efficient AI kitten centralise and impersonate all the services, authorities and regulations that make a large city function? Artist, designer and academic Pinar Yoldas believes this is a plausible and perhaps desirable scenario. Why wouldn’t a loving and cute robot be better at running the lives of citizens than human high-ranking officials?, https://www.librarystack.org/future-behind-us-when-an-ai-governs-your-city-the/?ref=unknown

Aquest projecte de final de grau s'emmarca dintre la plataforma CloudStream, desenvolupada per inLab FIB, un laboratori de recerca i innovació de la Facultat d'Informàtica de Barcelona a la UPC, i CloudStream, una proveïdor cloud punter en l'allotjament de serveis que opera en l'àrea metropolitana de Barcelona. L'objectiu principal és desenvolupar una solució d'observabilitat que aporti coneixement, com la salut del sistema o el rendiment de les aplicacions, sobre una plataforma innovadora prèviament desenvolupada i basada en Kubernetes sota un model PaaS (Platform-as-a-Service). Gràcies a aquest sistema, tant clients com administradors podran assegurar fiabilitat així com optimitzar el rendiment de les aplicacions en un entorn cloud dinàmic responent al monitoratge en temps real., This final degree project is part of the CloudStream platform developed by inLab FIB, a research and innovation company of Barcelona School of Informatics at UPC and CloudStream, a leading hosting and cloud provider in the Greater Barcelona Metropolitan Area. The primary goal is to develop an observability solution that provides and integrates comprehensive insights, such as system health or application performance, into the existing cutting-edge Kubernetes-based PaaS (Platform-as-a-Service) previously developed. With this system, both clients and administrators will be able to ensure reliability and optimize the performance of its applications in a dynamic cloud environment responding to real-time monitoring.

En la actualidad, las líneas de envasado de productos líquidos están cada vez más automatizadas. Un ahorro de tiempo en un proceso productivo puede representar una gran ventaja competitiva y un mayor beneficio económico para la empresa. Este trabajo surge de la necesidad de crear una solución en forma de máquina para procesos productivos de envasado de botellas u otros tipos de recipientes que son llenados con líquido y requieren una automatización en la separación lineal entre las botellas. El objetivo principal es diseñar una máquina que separe las botellas de manera automática en una línea de envasado, y que mediante el cambio de ciertas piezas pueda adaptarse a diferentes recipientes y ser compatible con cualquier línea de envasado existente. En primer lugar, se ha realizado un estudio sobre el diseño de las líneas de producción de envasado de botellas, analizando los diferentes tipos de máquinas que las componen. En segundo lugar, se han analizado las máquinas de separación lineal existentes, sus posibles funciones dentro de la línea de producción y los componentes principales que las constituyen. Con estos estudios, se procedió a diseñar la máquina de la manera más óptima y eficiente, realizando los cálculos necesarios de los elementos y seleccionando los materiales más adecuados para cada caso. Como conclusiones más relevantes del estudio, podemos afirmar que actualmente en España hay una gran oportunidad para la construcción de este tipo de máquinas o aplicaciones. Las líneas de envasado están cada vez más automatizadas, cuentan con más estaciones de trabajo, requieren un mayor ritmo de producción, y soluciones como esta son de gran utilidad para el proceso., Currently, liquid product packaging lines are increasingly automated. Time savings in a production process can represent a significant competitive advantage and greater economic benefit for the company. This project arises from the need to create a machine solution for the production processes of bottling or other types of containers filled with liquid, requiring automation for linear separation between the bottles. The main objective is to design a machine that automatically separates the bottles in a packaging line, and that, by changing certain parts, can be used for different containers and be adaptable to any existing packaging line. First, a study was conducted on how bottling production lines are designed, analyzing the different types of machines that comprise them. Secondly, an analysis was made of the existing linear separation machines, their possible functions within the production line, and the main components they are made of. With these studies, the machine was designed in the most optimal and efficient way, performing the necessary calculations for the elements and selecting the most suitable materials for each case. As the most relevant conclusions of the study, we can say that there is currently a great opportunity in Spain for the construction of this type of machines or applications. Packaging lines are becoming more automated, have more workstations, require a higher production rate, and solutions like this are very useful for the process.

In a clinical context, conventional optical microscopy is commonly used for the visualization of biological samples for diagnosis. However, the availability of molecular techniques and rapid diagnostic tests are reducing the use of conventional microscopy, and consequently the number of experienced professionals starts to decrease. Moreover, the continuous visualization during long periods of time through an optical microscope could affect the final diagnosis results due to induced human errors and fatigue. Therefore, microscopy automation is a challenge to be achieved and address this problem. The aim of the study is to develop a low-cost automated system for the visualization of microbiological/parasitological samples by using a conventional optical microscope, and specially designed for its implementation in resource-poor settings laboratories. A 3D-prototype to automate the majority of conventional optical microscopes was designed. Pieces were built with 3D-printing technology and polylactic acid biodegradable material with Tinkercad/Ultimaker Cura 5.1 slicing softwares. The system’s components were divided into three subgroups: microscope stage pieces, storage/autofocus-pieces, and smartphone pieces. The prototype is based on servo motors, controlled by Arduino open-source electronic platform, to emulate the X-Y and auto-focus (Z) movements of the microscope. An average time of 27.00 ± 2.58 seconds is required to auto-focus a single FoV. Auto-focus evaluation demonstrates a mean average maximum Laplacian value of 11.83 with tested images. The whole automation process is controlled by a smartphone device, which is responsible for acquiring images for further diagnosis via convolutional neural networks. The prototype is specially designed for resource-poor settings, where microscopy diagnosis is still a routine process. The coalescence between convolutional neural network predictive models and the automation of the movements of a conventional optical microscope c, We acknowledge Dr. Dolors Canadell and Saint John of God Hospital (Lunsar, Sierra Leona). We acknowledge the Microbiology Department of Vall d’Hebron Universitary Hospital, and the Vall d’Hebron-Drassanes specialised centre in International Health, for its continuous advice, expertise, and infrastructure. The Computational Biology and Complex Systems Group, the Database Technologies and Information Systems Group and the Information and Image Processing Group of Universitat Politècnica de Catalunya (UPC). Special thanks to the Probitas Foundation and the Cooperation for Development Centre of UPC for their support in the implementation of the project. Thanks to the WHO for the holistic support regarding digital imaging diagnosis of haemoparasites in resource-poor settings., Objectius de Desenvolupament Sostenible::3 - Salut i Benestar::3.2 - Per a 2030, posar fi a les morts evitables de nounats i dels menors de 5 anys, aconse­guint que tots els països intentin reduir la mortalitat neonatal almenys fins a 12 per cada 1.000 nascuts vius, i la mortalitat dels menors de 5 anys almenys fins a 25 per cada 1.000 nascuts vius, Objectius de Desenvolupament Sostenible::3 - Salut i Benestar::3.3 - Per a 2030, posar fi a les epidèmies de la sida, tuberculosi, malària i les malalties tropicals desateses, i com­batre l’hepatitis, les malalties transmeses per l’aigua i altres malalties transmissibles, Objectius de Desenvolupament Sostenible::3 - Salut i Benestar::3.8 - Assolir la cobertura sanitària universal, en particular la protecció contra els riscos financers, l’accés a serveis de salut essencials de qualitat i l’accés a medicaments i vacunes segurs, eficaços, assequibles i de qualitat per a totes les persones, Objectius de Desenvolupament Sostenible::3 - Salut i Benestar, Postprint (published version)

En Mango, se realizan al rededor de 30.000 tickets de devolución al día, lo que se traduce en unos 720.000 tickets al mes. De estos, un 23% presenta al menos una alerta de fraude por parte de los empleados en las tiendas, y por tanto se considera como sospechoso. Este porcentaje representa una cantidad económica considerable, por lo que resulta imprescindible idear un sistema eficiente y proactivo capaz de detectar y controlar este tipo de transacciones. Permitiendo al equipo de Stock Data Analysis del departamento de Stock Control de Mango, limpiar este volumen tan abrumador de transacciones y ser más efectivos al detectar y confirmar fraude interno. El objetivo principal de este proyecto es desarrollar un sistema automatizado que monitoree y controle transacciones fraudulentas por parte de los empleados en las tiendas físicas, capaz de detectar patrones fraudulentos tales como dobles devoluciones, utilizando herramientas avanzadas de análisis de datos y visualización en el entorno empresarial. Se utilizaron modelos de DBT (Data Build Tool) para la transformación de datos, automatizados mediante Airflow. Los resultados finales fueron visualizados en dashboards de Looker, proporcionando una visión precisa e ilustrativa en tiempo real de las transacciones sospechosas. El proyecto no solo mejoró la eficiencia operativa de Mango al automatizar el análisis de datos, sino que también proporcionó una herramienta sumamente valiosa para el equipo de Stock Data Analysis, teniendo un impacto significativo en sus operaciones diarias. Permitió analizar las transacciones desde nuevas perspectivas, facilitando la identificación de patrones fraudulentos con mayor precisión. Esto permitió intervenciones más tempranas y efectivas, asegurando así la integridad y seguridad de las operaciones financieras de la empresa., At Mango, around 30,000 return tickets are processed daily, translating to approximately 720,000 tickets per month. Of these, 23% trigger at least one fraud alert by store employees, and are thus considered suspicious. This percentage represents a considerable economic amount, making it essential to devise an efficient and proactive system capable of detecting and controlling such transactions. This allows the Stock Data Analysis team from Mango's Stock Control department to manage this overwhelming volume of transactions and be more effective in detecting and confirming internal fraud. The main objective of this project is to develop an automated system that monitors and controls fraudulent transactions by employees in physical stores, capable of detecting fraudulent patterns such as double returns, using advanced data analysis and visualization tools in the business environment. DBT (Data Build Tool) models were used for data transformation, automated through Airflow. The final results were visualized in Looker dashboards, providing a precise and illustrative real-time view of suspicious transactions. The project not only improved Mango's operational efficiency by automating data analysis but also provided an extremely valuable tool for the Stock Data Analysis team, having a significant impact on their daily operations. It enabled the analysis of transactions from new perspectives, facilitating the identification of fraudulent patterns with greater precision. This allowed for earlier and more effective interventions, thus ensuring the integrity and security of the company's financial operations.

El objeto de este proyecto es diseñar, desarrollar e implementar un flujo de trabajo automatizado utilizando Microsoft Power Automate para validar el cumplimiento de los requisitos de Buenas Prácticas de Manufactura (GMP) en un sistema SCADA (Supervisory Control and Data Acquisition) basado en Wonderware v2020 enfocado en un entorno de desarrollo propio de SistelControl S.L. El resultado final del proyecto será la implementación exitosa de un flujo de trabajo automatizado que verifica y documenta el cumplimiento de los requisitos de GMP en el sistema SCADA mencionado. Este flujo de trabajo estará integrado con el entorno de desarrollo de SistelControl S.L. y utilizará Microsoft Power Automate para llevar a cabo procesos de validación y Pruebas de Aceptación de Fábrica (FATs) de manera eficiente

Aquest projecte és el Treball de Fi de Grau (TFG) corresponent al grau d'Enginyeria Informàtica (GEI) de la Facultat d'Informàtica de Barcelona (FIB), de la Universitat Politècnica de Catalunya (UPC). Es tracta d'un projecte de modalitat B, realitzat a l'empresa Light Eyes SL. L'objectiu és el de dissenyar i implementar un software que automatitzi la generació d'informes de diferents serveis que ofereix Light Eyes SL. Específicament, aquest projecte contempla la implementació de dos mòduls per a la creació automàtica d'informes de seguretat de l'email dels clients i informes OSINT (Open Source Intelligence) sobre un domini i/o una pàgina web., This project is the Bachelor's Thesis (TFG) corresponding to the degree in Computer Engineering (GEI) from the Faculty of Informatics of Barcelona (FIB), at the Polytechnic University of Catalonia (UPC). It is a type B project, carried out at the company Light Eyes SL. The objective is to design and implement software that automates the generation of reports for different services offered by Light Eyes SL. Specifically, this project involves the implementation of two modules for the automatic creation of security reports for clients' email and OSINT (Open Source Intelligence) reports on a domain and/or website.

El treball se centra en la Infraestructura com a Codi (IaC), explorant el seu impacte tant en equips de plataforma com de desenvolupament. Primerament, aborda el perquè de IaC, juntament amb la seva implicació i relació amb la filosofia DevOps. A continuació, per donar suport a aquesta aproximació teòrica, es realitzen dues seccions tècniques. En primer lloc, es duu a terme la creació d'un repositori de codi per desplegar automàticament infraestructura seguint la filosofia GitOps. Seguidament, s'explica com Mango implementa IaC per gestionar la seva infraestructura i apropar-la als desenvolupadors. I finalment, per acompanyar la part de Mango i propulsar aquesta filosofia, s'explotarà una eina del seu flux CI/CD per avaluar els costos d'una merge request abans d'aplicar cap canvi real., This project focuses on Infrastructure as Code (IaC), exploring its impact on both platform and development teams. First, the reason for IaC is addressed, along with its implication and relationship to the DevOps philosophy. In addition, to support this theoretical approach, two technical sections are made. First, the creation of a code repository to automatically deploy infrastructure following the GitOps philosophy is carried out. Next, we explain how Mango implements IaC to manage its infrastructure and bring it closer to developers. And finally, to complement Mango's part and promote this philosophy, a tool from its CI/CD workflow will be explored to evaluate the costs of a merge request before applying any real change.

Aquesta tesi presenta la implementació de mesures de qualitat d’una prensió en un entorn d’experimentació real. Aquestes mesures de qualitat d’una prensió són àmpliament conegudes, però en la pràctica el seu ús es limita a la fase de planificació de la prensió. L’objectiu d’aquest treball és validar els fonaments teòrics d’aquestes mètriques en aplicacions pràctiques. Els components de maquinari utilitzat en l’experimentació real usada per a avaluar les mesures de qualitat d’una prensió inclouen una mà robòtica Allegro Hand equipada amb sensors tàctils OptoForce i un sistema de seguiment de moviment Fastrak. El programari desenvolupat per a realitzar l’avaluació està programat en C++ i desenvolupat dins del marc de programació ROS. En aquesta tesi s’han implementat tres mesures de qualitat de la prensió. D’una banda, es considera la pertorbació màxima (força i parell) aplicada sobre l’objecte que la prensió pot resistir en qualsevol direcció i el volum del polítop en l’espai de prensió format per les forces i parells que la prensió pot resistir; aquestes mètriques tenen en compte limitacions en les forces aplicables pels dits. D’altra banda, es considera l’àrea del polígon de prensió, tenint en compte les relacions geomètriques de la prensió sense tenir en compte límits de magnitud en les forces que poden aplicar els dits. Per a validar el funcionament del sistema dissenyat per a l’avaluació de mesures de qualitat de la prensió en experiments en el món real, es van realitzar proves analitzant diferents situacions metre d’agafaven objectes amb diferents geometries i materials. Com a treball futur es proposen algunes accions per a millorar el sistema i abordar els desafiaments observats en la implementació de mesures de qualitat de la prensió en un entorn real., Incoming

Site plans play a crucial role in construction projects, providing detailed layouts of structures and infrastructure components. Extracting specific information, such as sewage system details including shafts and pipeline routes, from these plans is essential for accurate cost estimation. However, it remains a labor-intensive task, especially for pixel-based drawings lacking machineinterpretable vector geometries and machine-readable text elements. In this study, we conceptualize an automated method to streamline this process, leveraging object detection and optical character recognition (OCR) techniques. The proposed approach involves three main steps: (1) locating the legend region in which the shaft symbol is specified using a specialized OCR method, (2) identifying the relevant shaft symbol from the plan’s legend, and (3) detecting shaft locations within site plans using state-of-the-art object detection algorithms. Developing this method aims to significantly increase efficiency in construction cost estimation by automating the tedious task of extracting and analyzing site plan data. The preliminary results included in this study demonstrate candidate techniques for symbol processing in site plans.

Aquest projecte sorgeix de la necessitat contínua que existeix en una fàbrica de renovar-se i millorar els seus processos per poder continuar competint al mercat, més encara estant ubicada en una zona on els costos de personal són molt més elevats que a la resta del món. Per això s'ha escollit una peça de xapa que prové d'una planta asiàtica i es vol demostrar que hi ha manera de competir sempre que s'implementin sistemes d'automatització, Indústria 4.0 i millores de processos. Per aconseguir aquest objectiu primer cal analitzar tot el context del procés per després saber on atacar per millorar-ne la producció. Amb els punts de millora localitzats es desenvoluparà el disseny de la cèl·lula de treball des de zero, combinant els elements que el mercat ja ofereix com són maquinària i manipuladors, amb elements de disseny propi per tenir una adaptació del procés al producte del 100%. Un cop acabat aquest desenvolupament del projecte s'obté el resultat d'una cèl·lula automàtica de 4 premses en línia que és capaç d'acabar una peça cada 28 segons, necessitant únicament un operari que supervisi la instal·lació. L'últim punt serà demostrar mitjançant el càlcul del pressupost i del nou cost reduït de peça, que aquest tipus de projectes d'automatització tenen una gran viabilitat i un retorn de la inversió molt eficient, malgrat no ser inversions petites, especialment si el predecessor és un procés manual el flux del qual no és lineal.

During the planning, design and permit process of buildings, various regulations must be adhered to in order to obtain a compliant building permit. Therefore formal requirements for buildings and technical rules in practice are examined and can be checked. For this purpose the open specification for checking functional requirements of a digital building model OpenBIMRL can be used. Architects or engineers may verify their BIM model with a pre-defined set of rules or entire rule-sets. This may be a set of rules for specific countries or usage (housing, commercial). In OpenBIMRL, functional requirements are formulated using a web-based platform separated from the actual rule checking engine. These rules consist of two main components: information extraction through predefined building blocks called Nodes, followed by the application of logical operations and comparisons. Previously, testing and verification of these rules on BIM models required a separate, non-portable program. To address this limitation, we conceived a redesign of the engine into a pure dependency structure devoid of user interaction. A server-client architecture was chosen with a RESTful endpoint. This change enables rule creators and end-users to view the outputs of defined rules and their respective Nodes directly in a concise format and within the 3D model itself.

Aquest treball proposa la creació d'una plataforma automatitzada per a pentesting amb l'objectiu de simplificar i millorar els processos de ciberseguretat per a empreses de qualsevol mida, especialment pimes sense la capacitat de contactar a un equip especialitzat. Tot i que existeixen eines semiautomàtiques com Burpsuite, Metasploit o Nessus aquestes són sovint especialitzades en aspectes concrets o costoses, dificultant el seu ús per a petites i mitjanes empreses, que constitueixen el 99,8% del teixit empresarial català. L'objectiu principal és crear una plataforma unificada que integri les principals eines de pentesting, automatitzant les tasques per facilitar-ne l'ús i la interpretació dels resultats per part dels usuaris. Aquesta plataforma ha de ser accessible, fàcil d'utilitzar per a tècnics no tan especialitzats en el sector i econòmica per a les pimes. En definitiva, tot i que el resultat final no aporta funcionalitats o eines noves al camp de la ciberseguretat, la creació d'una plataforma automatitzada i unificada facilita enormement el procés de pentesting, fent-lo més accessible i eficient. Això representa una millora significativa en la seguretat digital per a moltes empreses, que sovint no poden permetre's les eines actuals disponibles al mercat., This paper proposes the creation of an automated platform for pentesting with the aim of simplifying and improving cybersecurity processes for companies of any size, especially SMEs without the ability to contact a specialized team. Although there are semi-automatic tools such as Burpsuite, Metasploit or Nessus, these are often specialized in specific aspects or have hight costs, making their use difficult for small and medium-sized companies, which make up 99.8% of the Catalan business fabric. The main goal is to create a unified platform that integrates the main pentesting tools, automating tasks to make it easier for users to use and interpret the results. This platform must be accessible, easy to use for non-specialized technicians in the sector and economical for SMEs. Ultimately, while the end result does not bring any new functionalities or tools to the cybersecurity field, creating an automated and unified platform greatly facilitates the pentesting process, making it more accessible and efficient. This represents a significant improvement in digital security for many businesses, which often cannot afford the current tools available on the market.

Regularly monitoring construction sites is essential for progress tracking and safety evaluation during a construction project. Conventional methods rely on periodic surveys and manual data collection through site personnel. Additionally, current research investigates the use of unmanned ground/aerial vehicles. However, both approaches present limitations, such as time and labor inefficiency, or unreliable navigation and susceptibility to harsh outdoor conditions. In this paper, we present a novel approach for site monitoring by augmenting mobile construction machinery with sensors and leveraging their mobility onsite. To validate this approach, a wheel loader was equipped with a setup consisting of LiDAR, Camera, and GNSS sensors and deployed it over multiple months during a real road construction project. This paper analyzes the setup’s performance during outdoor operation and the quality of the collected data for the implementation of automated and continuous mapping. Afterward, the encountered challenges and advantages of our approach are discussed. The results demonstrate the feasibility of using mobile machinery for this task and are a first step for an automated site monitoring system.

L'objectiu d'aquest projecte és desenvolupar un model d'intel·ligència artificial per a l'extracció automatitzada d'informació ambiental a partir de Environmental Product Declarations en formats PDF. Actualment, aquest procés es realitza manualment, la qual cosa requereix temps i és propens a errors. La solució proposada utilitza tècniques de processament del llenguatge natural i d'aprenentatge automàtic per millorar l'eficiència i la precisió en la gestió d'aquestes dades., The objective of this project is to develop an artificial intelligence model for the automated extraction of environmental information from Environmental Product Declarations in PDF format. Currently, this process is performed manually, which is time-consuming and prone to error. The proposed solution employs natural language processing and machine learning techniques to enhance efficiency and accuracy in the management of this data.

En aquest projecte es parlarà d’un sistema domòtic per a visualitzar dades rebudes de sensors mitjançant una aplicació per a mòbils. Es farà una breu descripció del que és la domòtica i es parlarà del seu estat de l’art, també es donaran dades de consum elèctric d’un habitatge en detall. S’esmentaran quins tipus de sistemes domòtic existeixen i es parlarà del problema que tenen en comú. Problema que s’intentarà donar solució mitjançant un dels tipus de sistema domòtic, el sense fils. Sistema que no requereix d’una instal·lació molt complexa. Es proposarà una solució de sistema domòtic sense fils del qual en formaran part sensors, un controlador i la interfície gràfica d’usuari. En el projecte es donaran detalls de les tres part seleccionades i es parlarà de les connexions entre elles, donant resposta als problemes que vagin apareixent. Es parlarà dels components seleccionats per als sensors i el controlador, s’esmentaran quines característiques tenen, quin rang de mesura i més. Es farà un anàlisi de les dades que proporcionen els sensors i es decidirà si se’n aplicaran filtres. Es proposarà una solució per a la connexió sense fils entre el controlador i la GUI. Seguidament es dissenyarà la interfície gràfica per a que l’usuari visualitzi les dades proporcionades dels sensors. Es posarà en marxa el sistema i es farà una valoració de l’impacte mediambiental que suposa haver fet aquest projecte. Finalment se’n treuran conclusions i es farà una proposta de futur

El proyecto final de grado se centra en el estudio exhaustivo de los diferentes buses de comunicación en el ámbito de la domótica, con especial atención en la implementación de estas tecnologías mediante el uso de Single Board Computers (SBC) y la automatización con software domótico libre. Mediante la investigación y comparación, se seleccionó el protocolo Zigbee debido a sus ventajas en eficiencia energética y bajo consumo, características ideales para desarrollar soluciones domóticas sostenibles y eficientes. Se implementó este protocolo en una maqueta que simula una vivienda, utilizando Home Assistant instalado en una Raspberry Pi como el cerebro del sistema automatizado. Se desarrollaron automatizaciones y scripts para demostrar cómo, a través de Zigbee y Home Assistant, se puede controlar la domótica de una vivienda eficazmente. Estas automatizaciones incluyeron el encendido y apagado de bombillas Zigbee mediante un pulsador Zigbee y la ejecución de scripts para acciones más complejas, mostrando así la versatilidad y capacidad del sistema. Este estudio no solo enriquece el conjunto de conocimientos ya disponibles sobre domótica, sino que además intenta motivar más investigaciones y avances tecnológicos en esta área en el futuro

Over the past couple of decades, considerable advances in automation and high-throughput omics technologies have contributed to the generation of unprecedented amounts of molecular data, challenging the traditional “one size fits all” approach in favour of personalised medicine, where the individual needs of patients are addressed.However, the speed at which such molecular data is being acquired does not translate in a proportional number of clinical implementations. One way in which the molecular data can contribute to individualised treatment is by the discovery of novel and more robust biomarkers.Proteins are interesting biomarker candidates, as they mediate most processes in living organisms, and are by far the most utilised molecules in clinical use. For these reasons, global analysis of proteins could contribute to the development of better biomarkers.By combining mass spectrometry-based proteomics with automation solutions, workflows that can potentially improve biomarker discovery are discussed and showcased in this thesis. Such workflows are exemplified in (i) the multiplexed enrichment of blood plasma, allowing higher throughput and a unique platform for automation of affinity enrichment, (ii) the acquisition of matching multiomics data from a large number of breast cancer patient samples, allowing the optimisation of data acquisition strategies and utilisation of such data for functional analyses of the intrinsic subtypes, (iii) and the multiomics data analysis of patient samples, contributing to the most comprehensive molecular profile of metastatic processes in oestrogen receptor-positive breast cancer utilising transcriptomics, proteomics, phosphoproteomics and immune infiltration data acquired from the same tumour samples.In summary, the work presented in this thesis highlights strategies incorporating mass spectrometry-based proteomics and automation, allowing a greater number of samples to be analysed, more data to be extracted from samples and maki

Biopharmaceuticals are highly valued for their ability to specifically and efficiently treat diseases. However, they require rigorous purification that involves complex unit operations to reach the levels of purity necessitated for use in patients. Maintaining this purity while recovering as much of the valuable biopharmaceutical as possible is the core challenge in biopharmaceutical downstream processing. Digitalization is a growing trend that has proven to increase efficiency in other manufacturing industries by implementing advanced automation based on high-quality data, automatic control tools and digital twin technology. This thesis examines the application of digitalization to the biopharmaceutical downstream process through the lens of six case studies. The use of digital twins, automated data acquisition and Internet-of-Things connectivity is showcased, shedding light on how digitalization can be used to achieve more efficient, robust production of biopharmaceuticals.

Aquest treball de fi de grau es centra en la creació i implementació de la Norma Merit per a la fabricació de productes electrònics, basant-se en els estàndards establerts per IPC. L'objectiu principal és desenvolupar una normativa interna que asseguri la qualitat i l'eficiència en els processos de producció, validació i disseny dins de l'empresa Merit. Es començarà per identificar les normatives IPC aplicables a l'entorn de producció electrònica de Merit. Posteriorment, es mapejaran i determinaran les normes específiques aplicables a l'empresa, analitzant els requisits de cadascuna de les normatives associades als processos seleccionats. Es valorarà el grau de compliment actual i s'establiran regles de disseny específiques per a alinear els processos de Merit amb les expectatives de les normatives IPC. Finalment, es proposaran millores en els processos i productes, considerant les inversions i estratègies necessàries per a la seva implementació efectiva, culminant amb la generació de la Norma Merit específica per a l'empresa. Aquest treball no només millorarà els estàndards de qualitat a Merit, sinó que també servirà com a model per a futures adaptacions i millores en l'àmbit de la producció electrònica.