The tracking of artifacts in museums can be a cumbersome and error-prone process. A system that performs this tracking manually would help prevent mistakes and could be utilized to help attract and retain museum visitors. This thesis outlines the design and implementation of a three-part system for accomplishing this goal. By combining a powerful RFID infrastructure with a server and an intuitive mobile-device application, the project in this thesis aims to provide an automated way to keep track of artifacts, as well as to provide an application that makes the traversal of the museum intuitive and enjoyable for visitors. The application is built on Apple’s iOS platform in order to reach the multitude of users already in possession of iPhones, iPads, and iPod Touches. An initial evaluation shows the system behaves as expected and that it could be a useful tool to museums. / text

Föreningen av digitala tekniker och logistiska funktioner genom koncept som Industri 4.0 kan komma att förändra många marknader. Detta medför nya förutsättningar för industriföretag som vill fortsätta växa och vara konkurrenskraftiga. Denna studie syftade till att undersöka implementering av modern digital teknik i industriföretag. Författarna undersökte i denna studie vilka motiv som finns för en sådan implementering och vilka faktorer en verksamhet kan behöva beakta vid implementering. Dessutom undersöktes hur effektivitet kan mätas efter implementering både ur tillverkningsperspektiv och perspektiv på interna transporter. Intervjuer genomfördes med såväl ett tillverkande företag som implementerar ett modernt digitalt lagerhanteringssystem i sin verksamhet samt ett konsultföretag som bistod med kompetens för implementeringsprojektet. Fallföretaget i studien befann sig i slutfasen av implementering av ett digitalt lagerhanteringssystem med en funktion för att spåra material genom produktionen. Tidigare hade all planering och inventering gjorts manuellt. Författarna identifierade 14 motiv som kan finnas för tillverkande företag att implementera ett digitalt system samt åtta faktorer som är viktiga att beakta vid sådan implementering. Dessutom identifierade författarna KPI:er som de fann relevanta för mätning av tillverkningseffektivitet samt truckförares effektivitet efter implementering av ett digitalt system. / The union of digital technologies and logistical functions through concepts such as Industry 4.0 could change how a lot of markets operate. This creates new requirements for manufacturing companies who wish to keep growing and to stay competitive. The purpose of this study was to look at implementation of modern digital technologies in an industrial manufacturing context. The authors of this study explored which motives exist for such an implementation and which problems that need to be considered. Furthermore, the authors examined how effectiveness can be measured after implementation from both a manufacturing perspective as well an internal transport perspective. Interviews were conducted with a manufacturing company in the process of implementing a digital warehouse management system as well as a consulting company that provided support to the project. The case company in the study was in the final phase of implementing a digital warehouse management system with a primary feature of tracking material and goods through the production. Prior to this warehouse management system, all planning and stock keeping were performed manually. The authors proposed 14 different motives for manufacturing companies to implement a digital system and eight important factors to be considered when implementing a system such as the one the case company did. The authors also proposed Key Performance Indicators for measuring effectiveness and efficiency of manufacturing operations and forklift drivers, respectively, when a digital system is applied.

Every day system administrators perform many tasks that share one common requirement: information about the system.This information has to be up-to-date and reliable.To collect this information on demand and manually is time consuming and labour intensive.In the Network and Systems Administration (NSA) lab environment at the University of Skövde, there are many computers which need to be administrated.Today this is done by using a shared spreadsheet, a costly method with drawbacks.This project will search for answers to the question ``How can an automated client inventory improve the work of administrators at the NSA lab?''.To answer this question, a prototype will be created and its performance compared with the manual collection of information.In order to create a realistic and useful prototype, a list of requirements for inventories has to be assembled.The prototype has additionally to take the peculiarities of the NSA lab environment into account.The information has to be gathered without any permanent installation of a client, as there are no internal hard drives available.This detail makes it impossible for already existing applications to be deployed.The NSA administrators will then compare the performance of the prototype with the manual collection of data. They will conduct a trial during which they will be observed and afterwards answer some questions about the process. The results of the analysis of this data yielded a number of hypotheses.Common concepts like the time saving by automation get supported by this projects findings, but also less obvious observations are made. With the help of an automated network inventory administrators can become proactive and fix potential issues before they become problems.The extraction of information from a network inventory requires less knowledge about system administration, as the information is presented in an user interface.The user does not need to gather data as this is done by the network inventory.Only the extraction of the right information from the user interface is required.Information useful to the continued development of the prototype was collected as well. Improvements to the user interface as well as more automation should be added to the prototype in order to further improve the efficiency compared to the manual collection of information.

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This thesis is focused on digital image postproduction -- specific field, which is responsible for digital creation and manipulation with image data of a feature film or a commercial. To achieve that, it uses large amount of human resources and the newest computer technology. The aim of this thesis was to review actual situation in film production from the informatics point of view. That comprises of explanation of field specifics, identification of information system in a typical postproduction house and finding ways how to effeciently manage postproduction projects through that. Thesis is designed as a complex practical guide, which is well understandable both to inexperienced people and proffesionals and delivers them useful information. It can be used by existing employees of a postproduction house (primarily managers and heads), freelancers or prospective future employees. This thesis highlights importanant aspects of postproduction, connected risks and helps people's to better orientate in this field. Outputs are numerous table summaries, recommendations, tips and hints and examples of possible solutions of actual postproduction problems. They are based on many internet sources and my own previous experience as a 3d graphic.

Indoor Positioning System (IPS) are becoming more common in many areas such as retail, warehouses, smart facilities, and manufacturing.In recent years, Bluetooth Low Energy (BLE)-based IPS has become increasingly popular due to its low cost and low energy consumption. One of the more recent updates, Bluetooth 5.1, provides the ability to compute the location using Angle of Arrival (AoA) or Angle of Departure (AoD). These new features have allowed for better positioning accuracies, where AoA-based positioning has shown sub-meter accuracy. An application area for BLE-based IPS is retail stores where the technology can benefit both the store and its customers. This thesis investigates how to populate a database to be used with an IPS in a real-life store. The assumption is that customers will have BLE equipped devices and run an application that will send the properly formatted BLE advertisements, such that an BLE IPS can locate the user in the store. Additionally, we assume that the application can use the device's e-compass or other means to determine in which direction the user's device is oriented. Based on the position and orientation of the user, the software is assumed to access a database to know what item(s) are near the customer. However, the question remains of how did this data get into the database? This degree project explores this in detail and assesses the amount of time and effort needed to populate this database and the amount of time and effort needed to keep this database up to date. This project followed an iterative Design Science Research (DSR) methodology where the artifact is the database. A relational database was used as they are widely used and joins can easily be performed and it is easy to modify existing tables. The application was developed in Spring Boot and React. Amazon Web Services (AWS) was used to host and provide the necessary services for the database and application. The result showed that the estimated time needed to populate the database in a supermarket with a sales area of 5300 m2, 36623 products, and 220 containers is 106.64 hours and 107.13 hours in the worst case assuming a walking speed of 1.4 m s-1. Updating a product would take 10.34 s and 10.37 s if the time it takes for a staff member to walk to the place where the product is located is excluded. / Inomhuspositioneringssystem (IPS) har blivit allt vanligare inom många områden. De senaste åren har Bluetooth Low Energy (BLE)-baserad inomhuspositionering blivit mer populärt på grund av egenskaper som låg kostnad och låg energikonsumption. En av de senaste versionerna; Bluetooth 5.1 kan beräkna positionen med hjälp av ankomstvinkeln (eng. Angle of Arrival (AoA)) och utgångsvinkeln (eng. Angle of Departure (AoD)). Angle of Arrival (AoA)-baserad positionering kan uppnå en noggrannhet under 1 m. Ett Bluetooth Low Energy (BLE)-baserat IPS kan tillämpas i butiker där det kan gynna både butikens medarbetare och dess kunder. Detta examensarbete kommer att undersöka hur en databas som ska användas med ett IPS i en butik kan populeras. Antagandet i detta projekt är att kunderna kommer ha BLE utrustade enheter som kör ett program som tillåter att användaren kan lokalisera sig i butiken. Dessutom antar vi att applikationen kan använda enhetens e-kompass eller annan hårdvara för att kunna avgöra i vilken riktning användarens enhet är orienterad. Baserat på användarens position och riktning, antas det att mjukvaran kan komma åt databasen och veta vilka produkter som ligger i närheten av kunden. Dock kvarstår frågan: Hur sparades denna data i databasen? Det här examensarbetet kommer alltså att undersöka hur en databas i en butik kan vara uppbyggd om vi utgår från antagandet att BLE är tillämpat i butiken. Vi kommer även bedöma hur mycket tid som krävs för att populera en databas och hålla denna databas uppdaterad. Ett iterativ arbetsätt tillämpades i examensarbetet. I projektet användes en relationsdatabas eftersom det är enkelt att utföra join-operationer och uppdatera tabbeller i databasen. Applikationen som skapades tillhandahåller funktioner för att spara, uppdatera, radera och söka produkter i databasen. Frontend var kodad i React och backend var kodad i Spring Boot. Amazon Web Services (AWS) molntjänser och deras verktyg användes för att köra applikationen och databasen. Resultatet visade att populera en databas med produkter i en mataffär med en säljyta på 5300 m2, 36623 produkter, och 220 behållare (hyllor, kylskåp, etc.) tog 106.64 timmar i bästa fall och 107.13 timmar i värsta fall om vi antar en gångfart i 1.4 m s-1.