Global ETD Search

41	Data analysis for predictive maintenance and potential challenges associated with the technology integration of steel industry machines. Nath, Pradip January 2024 (has links) The recharge is the focus of data analysis of the different situations with the integration of the system and development of the two-stage 2/2 proportional cartridge valve for the steel industry machine. Using the statistical analysis technique to visualize the valve signal data behavior identify the accuracy of the machine data and apply the statistical feature extracting model using classification and clustering algorithms of real-time data analysis for the manufacturing. The fundamental principles of data analysis with a particular emphasis on its key function in the collection, cleansing, and analysis of substantial amounts of data to develop significant insights. Moreover, we explore the importance of data visualization in effectively presenting intricate research outcomes. We get the data accuracy of 76 percent for train and test set data in the statistical analysis feature indicating the best accuracy in the early stage. Our model gives high accuracy of the recommendation data automation system of the steel industry. Analysis of the valve data in multiple ways for the predictive maintenance of conditional monitoring of the tubes mail production machine. PdM is used for data processing of predictive manufacturing, behavior patterns of machines data, and correlation of statistical model for decision making for the maintenance activity avoiding downtime. The data consists of different channels in the steel industry machine. Some automation process is used for the feature combination of the analysis of valve data in industry between each feature and signals. Using a dataset comprised of sensor data, operation logs, and maintenance records industrial control data of machines and use of this predictive model has the potential to yield significant cost savings for the steel industry through the prevention of unplanned maintenance, while also enhancing operational safety manufacturing of machine in the industry. Data Science Data processing Industrial Manufacturing System Identification Predictive maintenance Conditional monitoring Statistical Analysis Signal processing Hydraulic System IoT Sustainable Maintenance Data vetenskap Databehandling Industriell tillverkning System identifiering Prediktivt underhåll Tillståndsövervakning Statistisk analys Signal behandling Elektroteknik och elektronik
42	Introducing the IP Heaviness Classification System in IP Valuation : Valuing Intellectual Capital Across Industries / Introduktion av IP-Tunghet inom värdering av immateriella tillgångar Lostorp, Henrik, Karlsson, Elias January 2024 (has links) Valuing Intellectual Property assets is increasingly critical in today’s economy, where intangible assets constitute a significant portion of business value. This thesis addresses the challenges inherent in the IP valuation process, particularly the subjectivity and variability associated with different IP types and valuation methodologies. It proposes a new way to value IP assets, by building upon existing disaggregation methods, and by introducing the IP-heaviness classification system. The study aims to develop an objective valuation model for IP assets by introducing the IP-heaviness classification system. The goal of the model is to estimate the range of IP Contribution (IPC) to company value across different industry groups. Our study employed Kernel Density Estimation and Monte Carlo Simulation to analyze the dataset and generate a larger data sample. We then developed the IPH classification system, which categorizes industries based on their reliance on IP as a value contributor, grouping them by similar levels of IP dependence. This structured approach allows for a preliminary estimation of the IP contribution for each group, providing a standardized framework for IP valuation. Each IPH group was assigned its own probability density curve to represent its potential IPC value. Ultimately, our model produced confidence intervals for each IPH group, offering a reliable measure of the IP contribution within each category. Our findings reveal significant variability in the impact of IP on company value across different industries. Higher IPH groups, representing industries with substantial IP reliance, show a greater proportion of their value attributed to IP assets. Conversely, lower IPH groups, with less reliance on IP, exhibit lower IP contributions. The IPH classification system addresses the challenges of traditional IP valuation methods by providing a more objective and transparent approach. It enhances the comparability of companies within and across IPH groups and reduces subjectivity in the valuation process. IP valuation intangible assets IP heaviness classification system Monte Carlo simulation Kernel Density Estimation intellectual capital industry classification IP contribution statistical analysis IP-värdering immateriella tillgångar IP-tunghet klassificeringssystem Monte Carlo-simulering Kernel Density Estimation immateriellt kapital branschklassificering IP-bidrag statistisk analys Business Administration Företagsekonomi
43	Implementation of data-collection tools using NetFlow for statistical analysis at the ISP level / Implementation av datainsamlingsverktyg med NetFlow på ISP-nivå för statistisk analys av datatrafik Karlström, Daniel January 2012 (has links) Defending against Dos- and DDoS attacks is difficult to accomplish; finding and filtering out illegitimate traffic from the legitimate flow is near impossible. Taking steps to mitigate or even block the traffic can only be done once the IP addresses of the attackers are known. This is achievable by monitoring the flows to- and from the target and identifying the attacker's IP addresses, allowing the company or their ISP to block the addresses itself by blackholing them (also known as a null route). Using the IP accounting and monitoring tool “pmacct”, this thesis aims to investigate whether or not the pmacct suite is suited for larger installations when tracking and mitigating DDoS-attacks, such at an Internet Service Provider (ISP). Potential problems are the amount of traffic that need to be analyzed and the computational power required to do it. This thesis also provide information about the pmacct suite at large. The conclusions are positive, indicating it does scale up to handle larger installations when given careful consideration and planning. / Att försvara sig mot DoS-och DDoS-attacker är svårt att åstadkomma; att hitta och filtrera ut illegitim trafik från det legitima flödet är nästan omöjligt. Att vidta åtgärder när en sådan attack upptäcks kan endast göras när IP-adresserna från angriparna är kända. Detta kan uppnås genom att man övervakar trafikflödet mellan målet för attacken och angriparna och ser vilka som sänder mest data och på så sätt identifierar angriparna.. Detta tillåter företaget eller dess ISP att blockera trafiken ifrån dessa IP-adresser genom att sända trafiken vidare till ingenstans. Detta kallas blackhole-routing eller null-routing. Genom att använda redovisnings- och övervakningsprogrammet pmacct syftar denna uppsats på att undersöka hurvida pmacct-sviten är lämpad för större installationer när det gäller att spåra och förhindra DDoS-attacker, såsom hos en Internetleverantör eller dylikt. Potentialla problem som kan uppstå är att mängden trafik som måste analyserar blir för stor och för krävande. Denna avhandling går även igenom pmacct-verktyget i sig. Slutsatserna är lovande, vilket indikerar att den har potential av att kunna hantera sådana stora miljöer med noggrann planering. pmacct statistical analysis bgp peer peering routing route quagga virtual router virtual router linux graph graphing mrtg database mysql script scripting python bash libpcap mdh data collection data collection collecting ISP internet service provider DoS DDoS attack pmacct statistisk analys bgp peer peering peera routing route quagga virtuell router virtuell router linux graf grafa mrtg databas mysql script scripting python bash libpcap mdh datainsamling insamling data ISP internetleverantör DoS DDoS attack Computer Engineering Datorteknik
44	Mekanisk uppgrävning: ett effektivt verktyg mot den invasiva främmande arten gul skunkkalla (Lysichiton americanus) : En utredning av behandlingsmetoder Kekäle, Oscar January 2023 (has links) Den biologiska mångfalden minskar globalt och ett av de största hoten utgörs av invasiva främmande arter. Natura-2000 området Fylleån, Halland, huserar en av de största svenska populationerna av gul skunkkalla (Lysichiton americanus). Arten utgör ett hot mot de naturvärden som finns i Fylleån och är subjekt för extensiva behandlingsarbeten i området för att motarbeta växtens effekt på ekosystemet. Det finns i dagsläget ingen evidens för att behandlingsmetoderna som presenteras av Naturvårdsverket och Havs- och vattenmyndighetens metodkatalog har effektivitet i svenska vattendrag. Målet med min studie är att undersöka effektiviteten av mekanisk uppgrävning samt ytlig hetvattensbehandling som behandlingsmetoder för gul skunkkalla. Jag undersöker även lämpligheten för användandet av övriga metoder presenterade av metodkatalogen och metoderna hetvattensbehandling och fröställningsborttagning som inte listats i metodkatalogen men som testas av myndigheter i viss utsträckning. Den första delen av studien genomförs som jämförelsestudie mellan områden som behandlats i olika grad med mekanisk grävning och hetvattenbehandling för att bestämma metodernas effektivitet. Den andra delen av min studie var att genom en litteraturgenomgång med metodkatalogen som utgångspunkt avgöra lämpligheten på och reflektera över metoderna samt reflektera över metodernas lämplighet att användas civilt. Min slutsats är att mekanisk grävning ger minskande populationer och signifikanta skillnader i individantal, förutsatt att behandlingen utförs rätt och konsekvent. Jag resonerar att andra behandlingsmetoder kan påverka mer organismer än vad man avsett och att de därför är olämpliga att bruka i Fylleån. Jag diskuterar vad jag anser är rimligt idéellt arbete i nuläget samt framtida potential och behovet av information i rätt kanaler. / Biodiversity is decreasing globally and one of the biggest threats is invasive alien species. The Natura-2000 area Fylleån, Halland, houses one of the largest Swedish populations of the American skunk cabbage (Lysichiton americanus). The species poses a threat to the natural values found in Fylleån and is subjected to extensive treatment to counteract the plant's effect on the ecosystem. There is currently no evidence for the effectiveness of the treatment methods presented by Naturvårdsverket and Havs- och vattenmyndighetens method catalog in Swedish watercourses. The goal of my study is to investigate the effectiveness of mechanical excavation and superficial hot water treatment as treatment methods for American skunk cabbage, along with hot water treatment and seed stand removal which are not listed in the method catalog but are tested by authorities to a certain extent. Through a comparative study between areas treated to varying degrees with mechanical digging and hot water treatment, I determine the effectiveness of the methods. The second part of my study was to try to determine the suitability of and reflect on the methods, as well as reflect on the suitability of the methods for civilian use through a literature review using the method catalog as a starting point. My conclusion is that mechanical digging produces declining populations and significant differences in found individuals, provided the treatment is carried out correctly and consistently. I reason that other treatment methods can affect more organisms than intended, and that they are therefore unsuitable for use in Fylleån. Invasive species Yellow skunk cabbage American skunk cabbage Lysichiton americanus Ecology Botany IAS Halland Plants Nature Methodolgy Mechanical digging hot water treatment heatweed glyfosate climate Lysichiton Araceae inventory species description statistical analysis litterature review watercourse invasive plants Sustainability Biology Natural sciences Halmstad university Invasiva främmande arter Gul skunkkalla Lysichiton americanus Ekologi Botanik heatweed Araceae IAS Halland Växter Natur Behandlingsmetoder Mekanisk uppgrävning hetvattenbehandling glyfosat klimat kalleväxter inventering artbeskrivning statistisk analys metodkatalogen litteraturgenomgång vattendrag invasiva växter globala målen hållbarhet Biologi Naturvetenskap Högskolan i Halmstad Natural Sciences Naturvetenskap Biological Sciences Biologiska vetenskaper Ecology Ekologi Botany Botanik
45	Railway curve squeal: Statistical analysis of train speed impact on squeal noise Asplund, Ruben January 2024 (has links) No description available. ml operation maintenance railway maintenance railway curve machine learning statistics railway train passenger train x60 squeal noise curve squeal squealing noise squeal wheel squeal squealing programming system development computer engineering data visualization data preprocessing industrial computer systems matlab python vibration vibrations vibration signals signals and systems filtering signal processing computer systems communication system infrastructure technology infrastructure track t-test z-test random forest xgboost feature importance speed detection band-pass filter script yaw angle angle of attack decision tree gbdt filter temperature humidity dew point curve radius cloud accelerometers sensors track rail statistical analysis acoustics sound ai artificial intelligence gradient boosting decision trees curve software development drift underhåll järnvägsunderhåll järnvägskurva maskininlärning statistik järnväg tåg x60 skrikljud snäva kurvor kurvradie kurvskrik hjulskrik programmering systemutveckling datateknik data industriella datorsystem matlab python vibration signaler vibrations signaler signaler och system filtrering signalbehandling datorsystem kommunikationssystem infrastrukturteknik infrastruktur spår t-test z-test random forest Södertälje band-pass filter hastighets detektion attackvinkeln anfallsvinkel IMx SKF temperatur fuktighet daggpunkt accelerometer järnvägskurvskrik tåg hastighetens statistisk analys akustik ljud ai kurva kurvor mjukvaruutveckling artificiell intelligens Infrastructure Engineering Infrastrukturteknik Signal Processing Signalbehandling Communication Systems Kommunikationssystem Computer Systems Datorsystem

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