The purpose of this thesis was to evaluate the impact of dynamic message signs (DMS) on the Orlando-Orange County Expressway Authority (OOCEA) toll road network using a Pre and Post-Deployment DMS Survey (henceforth referred to as "pre and post-deployment survey") analysis. DMS are electronic traffic signs used on roadways to give travelers information about travel times, traffic congestion, accidents, disabled vehicles, AMBER alerts, and special events. The particular DMS referred to in this study are large rectangular signs installed over the travel lanes and these are not the portable trailer mount signs. The OOCEA have been working over the past two years to add several fixed DMS on their toll road network. At the time of the pre-deployment survey, only one DMS was installed on the OOCEA toll road network. At the time of the post-deployment survey, a total of 30 DMS were up and running on the OOCEA toll road network. Since most of the travelers on the OOCEA toll roads are from Orange, Osceola, and Seminole counties, this study was limited to these counties. This thesis documents the results and comparisons between the pre and post-deployment survey analysis. The instrument used to analyze the travelers' perception of DMS was a survey that utilized computer aided telephone interviews. The pre-deployment survey was conducted during early November of 2006, and the post-deployment survey was conducted during the month of May, 2008. Questions pertaining to the acknowledgement of DMS on the OOCEA toll roads, satisfaction with travel information provided on the network, formatting of the messages, satisfaction with different types of messages, diversion questions (Revealed and Stated preferences), and classification/socioeconomic questions (such as age, education, most traveled toll road, county of residence, and length of residency) were asked to the respondents. The results of both the pre and post-deployment surveys are discussed in this thesis, but it should be noted that the more telling results are those of the post-deployment survey. The results of the post-deployment survey show the complete picture of the impact of DMS on travelers' experience on the OOCEA toll road network. The pre-deployment results are included to show an increase or decrease in certain aspects of travel experience with relation to DMS. The results of the pre-deployment analysis showed that 54.4% of the OOCEA travelers recalled seeing DMS on the network, while a total of 63.93% of the OOCEA travelers recalled seeing DMS during the post-deployment analysis. This showed an increase of almost 10% between the two surveys demonstrating the people are becoming more aware of DMS on the OOCEA toll road network. The respondents commonly agreed that the DMS were helpful for providing information about hazardous conditions, and that the DMS are easy to read. Also, upon further research it was found that between the pre and post-deployment surveys the travelers' satisfaction with special event information provided on DMS and travel time accuracy on DMS increased significantly. With respect to formatting of the DMS, the following methods were preferred by the majority of respondents in both the pre and post-deployment surveys: ● Steady Message as a default DMS message format ● Flashing Message for abnormal traffic information (94% of respondents would like to be notified of abnormal traffic information) ● State road number to show which roadway (for Colonial - SR 50, Semoran - SR 436 and Alafaya - SR 434) ● "I-Drive" is a good abbreviation for International Drive ● If the distance to the international airport is shown on a DMS it thought to be the distance to the airport exit The results from the binary logit model for "satisfaction with travel information provided on OOCEA toll road network" displayed the significant variables that explained the likelihood of the traveler being satisfied. This satisfaction model was based on respondents who showed a prior knowledge of DMS on OOCEA toll roads. With the use of a pooled model (satisfaction model with a total of 1775 responses - 816 from pre-deployment and 959 from post-deployment), it was shown that there was no statistical change between the pre and post-deployment satisfaction based on variables thought to be theoretically relevant. The results from the comparison between the pre and post-deployment satisfaction models showed that many of the coefficients of the variables showed a significant change. Although some of the variables were statistically insignificant in one of the two survey model results: Either the pre or post-deployment model, it was still shown that every variable was significant in at least one of the two models. The coefficient for the variable corresponding to DMS accuracy showed a significantly lower value in the post-deployment model. The coefficient for the variable "DMS was helpful for providing special event information" showed a significantly higher value in the post-deployment model. The final post-deployment diversion model was based on a total of 732 responses who answered that they had experienced congestion in the past 6 months. Based on this final post-deployment diversion model, travelers who had stated that their most frequently traveled toll road was either SR 408 or SR 417 were more likely to divert. Also, travelers who stated that they would divert in the case of abnormal travel times displayed on DMS or stated that a DMS influenced their response to congestion showed a higher likelihood of diversion. These two variables were added between the pre and post-deployment surveys. It is also beneficial to note that travelers who stated they would divert in a fictitious congestion situation of at least 30 minutes of delay were more likely to divert. This shows that they do not contradict themselves in their responses to Revealed Preference and Stated Preference diversion situations. Based on a comparison between pre and post-deployment models containing similar variables, commuters were more likely to stay on the toll road everything else being equal to the base case. Also, it was shown that in the post-deployment model the respondents traveling on SR 408 and SR 417 were more likely to divert, but in the pre-deployment model only the respondents traveling on SR 408 were more likely to divert. This is an expected result since during the pre-deployment survey only one DMS was located on SR 408, and during the post-deployment survey there were DMS located on all toll roads. Also, an interesting result to be noted is that in the post-deployment survey, commuters who paid tolls with E-pass were more likely to stay on the toll road than commuters who paid tolls with cash. The implications for implementation of these results are discussed in this thesis. DMS should be formatted as a flashing message for abnormal traffic situations and the state road number should be used to identify a roadway. DMS messages should pertain to information on roadway hazards when necessary because it was found that travelers find it important to be informed on events that are related to their personal safety. The travel time accuracy on DMS was shown to be significant for traveler information satisfaction because if the travelers observe inaccurate travel times on DMS, they may not trust the validity of future messages. Finally, it is important to meet the travelers' preferences and concerns for DMS.

A systematic customer value assessment process (CVAP) was developed to give system engineering teams the capability to qualitatively and quantitatively assess customer values. It also provides processes and techniques used to create and identify alternatives, evaluate alternatives in terms of effectiveness, cost, and risk. The ultimate goal is to provide customers (or decision makers) with objective and traceable procurement recommendations. The creation of CVAP was driven by an industry need to provide ballistic missile defense (BMD) customers with a value proposition of contractors’ BMD systems. The information that outputs from CVAP can be used to guide BMD contractors in formulating a value proposition, which is used to steer customers to procure their BMD system(s) instead of competing system(s). The outputs from CVAP also illuminate areas where systems can be improved to stay relevant with customer values by identifying capability gaps. CVAP incorporates proven approaches and techniques appropriate for military applications. However, CVAP is adaptable and may be applied to business, engineering, and even personal every-day decision problems and opportunities. CVAP is based on the systems decision process (SDP) developed by Gregory S. Parnell and other systems engineering faculty at the Unites States Military Academy (USMA). SDP combines Value-Focused Thinking (VFT) decision analysis philosophy with Multi-Objective Decision Analysis (MODA) quantitative analysis of alternatives. CVAP improves SDP’s qualitative value model by implementing Quality Function Deployment (QFD), solution design implements creative problem solving techniques, and the qualitative value model by adding cost analysis and risk assessment processes practiced by the U.S DoD and industry. CVAP and SDP fundamentally differ from other decision making approaches, like the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), by distinctly separating the value/utility function assessment process with the ranking of alternatives. This explicit value assessment allows for straightforward traceability of the specific factors that influence decisions, which illuminates the tradeoffs involved in making decisions with multiple objectives. CVAP is intended to be a decision support tool with the ultimate purpose of helping decision makers attain the best solution and understanding the differences between the alternatives. CVAP does not include any processes for implementation of the alternative that the customer selects. CVAP is applied to ballistic missile defense (BMD) to give contractors ideas on how to use it. An introduction of BMD, unique BMD challenges, and how CVAP can improve the BMD decision making process is presented. Each phase of CVAP is applied to the BMD decision environment. CVAP is applied to a fictitious BMD example.

The complexities associated with the deployment of indoor 5G infrastructure in commercial and industrial buildings are explored, with the aim of identifying the most practical and cost-effective strategies. The research delves into technical, economic, and stakeholder aspects of indoor 5G implementation within the Swedish context. Key technical challenges and potential solutions are thoroughly examined, and the importance of high-capacity and dependable wireless coverage is underscored. The economic viability is probed, underpinned by an analysis of costs, potential revenue streams, strategic benefits, and regulatory policies. A cost-sharing model is proposed, offering insights into potentially sustainable and equitable ways of financing indoor 5G infrastructure. The distinctive roles and responsibilities of stakeholders, including telecommunication operators, property owners, end-users, equipment suppliers, and the regulatory authority, are elaborated upon, emphasizing the necessity of collaboration and shared responsibilities for successful 5G deployment. The study concludes by emphasizing the need for ongoing research and collaboration among stakeholders in the dynamic 5G ecosystem, underscoring the transformative nature of 5G in reshaping wireless connectivity and its potential to deliver substantial economic and societal advantages. / Komplexiteten i samband med utrullningen av inomhus 5G-infrastruktur i kommersiella och industriella byggnader utforskas, med målet att identifiera de mest praktiska och kostnadseffektiva strategierna. Forskningen fördjupar sig i tekniska, ekonomiska och intressenternas aspekter av 5G-implementering inomhus inom den svenska kontexten. Tekniska utmaningar och potentiella lösningar undersöks noggrant, och vikten av högkapacitets- och pålitlig trådlös täckning betonas. Den ekonomiska genomförbarheten undersöks, underbyggd av en analys av kostnader, potentiella intäktsströmmar, strategiska fördelar och regleringspolitik. En kostnadsdelningsmodell föreslås, vilket ger insikter i potentiellt hållbara och rättvisa sätt att finansiera inomhus 5G-infrastruktur. De distinkta rollerna och ansvaren hos intressenter, däribland telekommunikationsoperatörer, fastighetsägare, slutanvändare, utrustningsleverantörer och regleringsmyndigheten, utforskas, vilket betonar nödvändigheten av samarbete och delade ansvarsområden för framgångsrik 5G-utplacering. Studien avslutas genom att betona behovet av pågående forskning och samarbete bland intressenter i det dynamiska 5G-ekosystemet, vilket understryker 5G ́s omvandlande natur i omformningen av den trådlösa infrastruktur och dess potential att leverera betydande ekonomiska och samhälleliga fördelar.

Caching is a fundamental technique widely used in the field of computing to reduce network traffic, server load, and latency. Storing frequently accessed data in a high-speed cache layer can make future requests process faster by involving fewer system components when generating and serving the response. Kalix is a software product that demands a caching solution since it faces latency and is frequently processing partially repeated queries. However, a cache does not guarantee improved performance, which is why the main problems of caching are: determining what content to cache, when to insert or remove cache content, implementing the caching logic, and deciding where to store the cache efficiently. Therefore, this paper theoretically investigates where a cache solution should be implemented within the Kalix system architecture to decrease latency and server load, and evaluates the subsequent cache implementation experimentally. As a result, a client-side cache is implemented which decreases the latency of Kalix by up to 74%, while reducing the I/O load and memory utilization on the server by 98%. The reason for the decrease is that the cache in the client can directly serve the majority of the content, allowing the servers of Kalix to do substantially fewer computations. The evaluation acts as a recommendation for the company behindKalix, Polystar, as to if a cache is beneficial and where the cache can efficiently be deployed, and this paper gives valuable insights into the decision-making of cache placement. Concludingly, implementing the cache positively impacts the Kalix user experience.

With the advent of DevOps and its success stories, many large firms in the regulatory sector have begun to study more streamlined software deployment strategies. Traceability and change management is vital in these regulated organizations to keep track of when, why, and what was supplied to the production environment at what time. This thesis intends to provide a technique for one of the major banks in Sweden to deploy software using Azure DevOps pipelines while employing tracing and approving a deployment in an on-premises change management system. Since direct communication between the change management system and Azure DevOps is not possible, the decision was made to create an on-premises RFC handler and use Azure storage account queues to facilitate communication between pipelines searching for deployment grants and the on-premises change management system. To determine what value the RFC handler could provide the organization, interviews were conducted with several change management experts at the bank. One of the most notable conclusions from the interviews was that the RFC handler would likely reduce deployment time relative the old workflow. / Med tillkomsten av DevOps och dess framgångshistorier har många stora företag inom regleringssektorn börjat studera mer strömlinjeformade programvarudistributionsstrategier. Spårbarhet och förändringshantering är avgörande i dessa reglerade organisationer för att förklara när, varför och vad som levererades till produktionsmiljön vid vilken tidpunkt. Detta examensarbete avser att tillhandahålla en teknik för en av de stora bankerna i Sverige att distribuera programvara med hjälp av Azure DevOps-pipelines samtidigt som man använder spårning och godkännande av en driftsättning i ett lokalt förändringshanteringssystem. Eftersom direkt kommunikation mellan ändringshanteringssystemet och Azure DevOps inte är möjlig, togs beslutet att skapa RFC handler och använda Azure Storage-kontoköer för att underlätta kommunikationen mellan pipelines som söker efter driftsättningsgodkännande och den lokala förändringshanteringen. För att avgöra vilket värde RFC handler skulle ge organisationen, genomfördes intervjuer med flera experter på förändringshantering inom banken. En av de viktigaste slutsatserna från intervjuerna var att RFC handler kommer att minska driftsättningstiden jämfört med tidigare arbetsflöde.

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Цель работы – внедрение необходимых практик DevOps в компании «Технопарк-Автоматизация» и снижение затрат на используемое программное обеспечение. Объектом исследования является управление жизненным циклом создаваемого программного обеспечения. Методы исследования: анализ существующих DevOps-практик, анализ и сравнение различных DevOps-инструментов, операционных систем и web-серверов. Результат работы: разработана DevOps-инфраструктура проектов компании, проведена оценка экономической выгоды от реализации данной работы. Магистерская диссертация состоит из введения, 4 глав и заключения, изложенных на 70 страницах, а также библиографического списка. / The goal of the work is to implement the necessary DevOps practices in the Technopark-Automation company and reduce the costs of the software used. The object of the study is the life cycle management of created software. Research methods: analysis of existing DevOps practices, analysis and comparison of various DevOps tools, operating systems and web servers. Result of the work: a DevOps infrastructure for the company’s projects was developed, and the economic benefits from the implementation of this work were assessed. The master's thesis consists of an introduction, 4 chapters and a conclusion, presented on 70 pages, as well as a bibliography.

The rise of social media and the use of mobile applications has led to increasing concerns regarding the content that is shared through these apps and whether they are being regulated or not. One of the problems that can arise due to a lack of regulation is that chat messages that are inappropriate or of profane nature can be allowed to be shared through these apps. Thus, it is vital to detect whenever these types of chat messages are shared through these mobile applications. In addition to that, there should also be detection of chat messages that can lead to the identity of the users being revealed as that is how the app in this thesis project was intended to be used. One of the most popular approaches to detect chat messages of this nature is to use machine learning techniques that can classify text. We were quick to discover that there were not many machine learning models that were built to classify short text messages in the Swedish language, thus the main problem of our thesis was the lack of evaluation and analysis of machine learning models for text classification in the context of the chat messages in Swedish. Thus, the purpose of our project was mainly to find the best performing models for text classification, implement these models and evaluate them to find the best among the ones we found. After the models were created, a hosting server, as well as an API, was required for the text classifying system to compute and communicate the prediction results to the mobile application in real-time. Therefore, the models were containerized and deployed as a REST API that serves requests upon arrival on a cloud server. The goal of this project was to help future work being done on text classification in the Swedish language by providing the results of this thesis to any parties that are interested in our line of work. From our own experience, we realized how challenging it can be to find and choose the best machine learning models when one has no previous data on which can be the best performing one. Thus, we believe that the results of this thesis project will greatly aid future projects in this area. The chosen research methodology was qualitative and dealt with quantitative data. The results we received showed that the BERT model was the best choice among the three models that we compared. With minute adjustments, this model should be more than capable of detecting the type of chat messages that it is required within the mobile application. / Uppkomsten av social media och användning av mobilapplikationer ledde till ökande oro om innehållet som är delad inom dessa appar och om dem är reglerad eller inte. Ett problem som uppstår på grund av bristande reglering kan vara att chatmeddelanden som är olämplig eller profan kan bli delad med dessa appar. Därför är det viktig att upptäcka när dessa typer av chatmeddelande är delad genom mobilapplikationer. Dessutom det måste finnas ett system som upptäcker chattmeddelanden som kan hjälpa att avslöja användarens identiteter, som den här appen i detta projekt avsedda att användas. En av mest populära sett att upptäcka den typen av chattmeddelanden är användning av mäskinlärning tekniker som kan klassificera text. Vi snart hittade att det finns inte så många mäskinlärning modeller som var byggt att klassificera texter på svenska, alltså huvudproblem med vår exam en var bistrande utvärdering och analys av mäskinlärning modeller för textklassificering i kontext av svenska språket. Så, syftet med vårt projekt var att hitta de bästa presenterande modeller för textklassifikation, genomföra dessa modeller själva och sedan utvärdera dem att hitta den bästa. Därtill, för att textklassificering ska beräkna och kommunicera den förutsägelseresultaten till mobila applikationer i realtid behövs en värdserver samt en API. Därför, modellerna containeriserades och distribuerad es som en REST API som betjänar begäran vid ankomst på en molnserver. Målet med det här projektet var att hjälpa framtidsarbete inom textklassifikation på svenska språket genom att tillhandahålla resultaten till partier som är intresserad i vår arbetslin je. Från vår egen erfarenhet, vi insåg att det var svårt att hitta och välja dem bästa mäskinlärning modeller, specifikt när man har inga data som tidigare visat den med bäst prestanda. Och därför vi anser att den resultaten av den har examen kommer att v ara stor hjälp till framtida projekt i det här området. Den valda forskningsmetodiken var kvalitativ och handlade om kvantitativ data. Resultaten visade att BERT modell var den bästa bland de tre modellerna som vi jämförde med. Med lite justeringen är mod ellen mer än kapable att detektera den typen av krävs inom mobilapplikationen.