Dissertations / Theses on the topic 'Usinage intelligent'
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Chouhad, Hassan. "Towards online metrology for proactive quality control in smart manufacturing." Thesis, Paris, HESAM, 2022. http://www.theses.fr/2022HESAE021.
In the traditional manufacturing industry, metrology is an essential element in sanctioning quality at the end of the production line. The innovation brought by concept of smart manufacturing leads to a repositioning of metrology to be proactive at the heart of production by performing the so-called first-time-right manufacturing of parts. The goal of this thesis is therefore to propose a methodological approach for the development of a proactive system, enhanced by AI models, to control the conformity of a product to a specification during machining and to characterize its defects. For this purpose, a first study on the surface aspect was carried out by collecting high-resolution images of coated and cut copper wires that may present defects. The images, taken by a computer vision system based on chromatic confocal imaging, were used to generate different artificial intelligence models. These models can perform segmentation and classification of observed defects. When comparing the accuracy and processing time of the AI models, transfer learning using the mobile-net model showed better performance. To extend the study of surface quality assessment, surface profile measurements on machine tools were performed using non-contact chromatic confocal sensors. Two approaches were performed: i) milling aluminum without tool wear signature, and ii) milling titanium with tool wear signature. In both cutting configurations, machining parameters, surface roughness profiles, and cutting forces were measured to build a dataset for training the prediction models by machine learning. The results showed that the XGboost model presented the best prediction performance and for both scenarios i) and ii). By considering the cutting time in titanium milling, the autoregressive integrated moving average time series prediction model was applied to track the evolution of roughness with tool wear
Escriba, Christophe. "Conception, réalisation et caractérisation de capteurs infrarouges à thermopiles : application à la détection de présence passive dans l'habitat." Phd thesis, Université Paul Sabatier - Toulouse III, 2005. http://tel.archives-ouvertes.fr/tel-00088644.
Vigouroux, Jean-Louis. "Modélisation des connaissances pour l’optimisation des systèmes d’usinage intelligents." Dijon, 2008. http://www.theses.fr/2008DIJOS053.
Research on Intelligent machining systems has the potential to make production of machined parts easily adaptive to changes in the part geometry specification, and to skip the industrialization step. The work presented here fosters the realization of this potential, by using standard data models of the field and optimization under uncertainty. First a bibliography is made to keep track of previous efforts related to intelligent manufacturing systems, optimization under uncertainty, and manufacturing and optimization knowledge representation. Important concepts like Manufacturing system agility, and optimization under uncertainty were defined, and the standards STEP and UML for knowledge representation and system modeling were studied. Then an information system architecture is proposed, to link manufacturing knowledge and optimization problem knowledge, using a new data model. An evolutionary algorithm called Robust Evolutionary Algorithm (REA) is designed and added to the architecture for solving non linear optimization under uncertainty. The architecture is then applied to the process plan optimization of a turning part. Some drawbacks of the architecture are discovered during the implementation, thus leading to an evolution. Two new data models are introduced, the System Operation simulation Model (SOM) and the Optimization under Uncertainty Model (OUM). The SOM data model is a proposal for the representation of manufacturing system operational properties, and the OUM data model is a proposal for the representation of a non linear optimization problem with uncertainties. The second version of the architecture is a solid base for the software implementation of an intelligent machining system. Some further studies are necessary to capture of the dependency relations between experimental machining models and operational properties of a machining system
Bernardes, Vitor Giovani. "Urban environment perception and navigation using robotic vision : conception and implementation applied to automous vehicle." Thesis, Compiègne, 2014. http://www.theses.fr/2014COMP2155/document.
The development of autonomous vehicles capable of getting around on urban roads can provide important benefits in reducing accidents, in increasing life comfort and also in providing cost savings. Intelligent vehicles for example often base their decisions on observations obtained from various sensors such as LIDAR, GPS and Cameras. Actually, camera sensors have been receiving large attention due to they are cheap, easy to employ and provide rich data information. Inner-city environments represent an interesting but also very challenging scenario in this context,where the road layout may be very complex, the presence of objects such as trees, bicycles,cars might generate partial observations and also these observations are often noisy or even missing due to heavy occlusions. Thus, perception process by nature needs to be able to dea lwith uncertainties in the knowledge of the world around the car. While highway navigation and autonomous driving using a prior knowledge of the environment have been demonstrating successfully,understanding and navigating general inner-city scenarios with little prior knowledge remains an unsolved problem. In this thesis, this perception problem is analyzed for driving in the inner-city environments associated with the capacity to perform a safe displacement basedon decision-making process in autonomous navigation. It is designed a perception system that allows robotic-cars to drive autonomously on roads, with out the need to adapt the infrastructure,without requiring previous knowledge of the environment and considering the presenceof dynamic objects such as cars. It is proposed a novel method based on machine learning to extract the semantic context using a pair of stereo images, which is merged in an evidential grid to model the uncertainties of an unknown urban environment, applying the Dempster-Shafer theory. To make decisions in path-planning, it is applied the virtual tentacle approach to generate possible paths starting from ego-referenced car and based on it, two news strategies are proposed. First one, a new strategy to select the correct path to better avoid obstacles and tofollow the local task in the context of hybrid navigation, and second, a new closed loop control based on visual odometry and virtual tentacle is modeled to path-following execution. Finally, a complete automotive system integrating the perception, path-planning and control modules are implemented and experimentally validated in real situations using an experimental autonomous car, where the results show that the developed approach successfully performs a safe local navigation based on camera sensors
Babovic, Vladan. "Emergence, evolution, intelligence: hydroinformatics : a study of distributed and decentralised computing using intelligent agents /." Rotterdam [etc.] : Balkema, 1996. http://opac.nebis.ch/cgi-bin/showAbstract.pl?u20=905410404X.
Hall, Douglas Lee. "A Comparative Analysis of Guided vs. Query-Based Intelligent Tutoring Systems (ITS) Using a Class-Entity-Relationship-Attribute (CERA) Knowledge Base." Thesis, North Texas State University, 1987. https://digital.library.unt.edu/ark:/67531/metadc331475/.
Kostias, Aristotelis, and Georgios Tagkoulis. "Development of an Artificial Intelligent Software Agent using Artificial Intelligence and Machine Learning Techniques to play Backgammon Variants." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-251923.
Artificiell intelligens har sett enorma framsteg inom många discipliner de senare åren. Speciellt, digitaliserade brädspel kräver implementering av Artificiell intelligens då deras beslutfattande logik är väldigt komplex. Dataspelutvecklarnas syfte och mål är att skapa programvaror som är intelligenta, adaptiva och lyhörda. Dock konstruktionsoch utvecklingsprocess för att kunna skapa en sådan mjukvara är långtifrån att vara faställd, mest på grund av diversitet av naturen av varje spel. Denna avhandlingen forskar och föreslår en detaljerad procedur för att bygga en "Software Agent" för olika slags Backagammon, genom att använda AI neurala nätvärk och back-propagation metoder. Olika artificiell intelligensoch maskininlärningsalgoritmer som används i brädspel forskas och presenteras. Slutligen denna avhandling beskriver implementeringen och utvecklingen av ett mjukvaru agent för en backgammonvariant, närmare bestämt av "Svenska Tabeller" samt utvärderar dess prestanda.
Enyedy, Albert J. "Robotic Construction Using Intelligent Scaffolding." Digital WPI, 2020. https://digitalcommons.wpi.edu/etd-theses/1356.
Hiesel, Jeanne C. "An approach to the analysis and design of an intelligent tutoring systems using an object-oriented methodology /." Online version of thesis, 1993. http://hdl.handle.net/1850/11716.
Artun, F. Emre. "Reservoir characterization using intelligent seismic inversion." Morgantown, W. Va. : [West Virginia University Libraries], 2005. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4185.
Title from document title page. Document formatted into pages; contains xii, 82 p. : ill. (some col.), maps (some col.). Includes abstract. Includes bibliographical references (p. 80-82).
Robinson, Martin H. "Intelligent information retrieval using web communities." Thesis, University of Ulster, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.424555.
Ceylan, Hakan. "Using Reinforcement Learning in Partial Order Plan Space." Thesis, University of North Texas, 2006. https://digital.library.unt.edu/ark:/67531/metadc5232/.
Hanumantha, Rao Karthik. "Dynamic configuration management using mobile intelligent agents." Thesis, Wichita State University, 2009. http://hdl.handle.net/10057/2430.
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical and Computer Engineering
Miller, Paul Sheridan Mikler Armin. "Automated syndromic surveillance using intelligent mobile agents." [Denton, Tex.] : University of North Texas, 2007. http://digital.library.unt.edu/permalink/meta-dc-5141.
Schofield, Damian. "Surface mine design using intelligent computer techniques." Thesis, University of Nottingham, 1992. http://eprints.nottingham.ac.uk/13113/.
Kordi, Kamran. "Intelligent character recognition using hidden Markov models." Thesis, Loughborough University, 1990. https://dspace.lboro.ac.uk/2134/13786.
Palmer, Alexander S. "Adaptive image restoration algorithms using intelligent techniques." Thesis, University of East Anglia, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.405233.
Drum, David K. "Counteracting traffic congestion using intelligent driver feedback." Thesis, University of Missouri - Columbia, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10180875.
Traffic congestion is a daily occurrence in urban highway networks worldwide. It is not possible, however, for society to build its way out of congestion; rather, smarter roads and vehicles are needed. While the development of a smarter transportation system is underway, full implementation is years or decades from now. Yet, some of the sensing technology needed for smarter vehicles is already widely deployed in the form of smart phones. This thesis develops a novel method for recognizing traffic congestion using an artificially intelligent heuristic that could be implemented in a smart phone application or embedded system. Its goal is to provide intelligent feedback to a driver or autonomous vehicle control system to counteract stop-and-go traffic, a defining feature of urban highway congestion. Evaluation of the method indicates that a specific condition during stop-and-go traffic can be recognized accurately. A driver or control system acting upon feedback provided by the artificially intelligent system can improve traffic flow on the roadway by 1% to 3.5% over the course of the test duration.
Madkour, A. A. M., M. Alamgir Hossain, Keshav P. Dahal, and H. Yu. "Real-time system identification using intelligent algorithms." IEEE, 2004. http://hdl.handle.net/10454/2471.
Johns, Rasmus Johns. "Intelligent Formation Control using Deep Reinforcement Learning." Thesis, Linköpings universitet, Artificiell intelligens och integrerade datorsystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-152687.
Hedlund, Richard, and Niklas Timarson. "Intelligent Wind Turbine Using Fuzzy PID Control." Thesis, KTH, Mekatronik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-218276.
Det här arbetet visar hur små vindkraftverk kan bidra tillen grönare planet genom att omvandla vindenergi till elektriskenergi. Det beskriver jämförelsen mellan den vanligtförekommande PID regulatorn och den suddiga PID regulatorn,implementerad i ett litet vindkraftverk som konstruerades med hjälp av flertalet maskiner. Konceptet att ändra på parametrarna i PID regulatorn med hjälp av suddig logik, beroende på vindriktningen, förklaras och testas med syfte att generera energi. Dettamed hjälp av en DC-motor som får utsignaler från systemet som läser insignaler från en encoder och en vindflöjt. Konstruktionen av rotatonsmekanismen innehöll implementation av en växel, kullager och axlar. Testresultaten visade att den suddiga PID regleringenvar bättre på att minimera felet, när felet mellan vindkraftverket och vinden var litet. Även vid generering av energi,visade det sig att den suddiga PID regleringen presterade bättre. Likväl presterade PID regulatorn på samma nivå som den suddiga, när felet var större.
He, Shengyang. "Modeling power system load using intelligent methods." Thesis, Kansas State University, 2011. http://hdl.handle.net/2097/12036.
Department of Electrical Engineering
Shelli K. Starrett
Modern power systems are integrated, complex, dynamic systems. Due to the complexity, power system operation and control need to be analyzed using numerical simulation. The load model is one of the least known models among the many components in the power system operation. The two different load models are the static and dynamic models. The ZIP load model has been extensively studied. This has widely applied to composite load models that could maintain constant impedance, constant current, and/or constant power. In this work, various Neural Networks algorithms and fuzzy logic have been used to obtain these ZIP load model coefficients for determining the percentage of constant impedance, current, or power for the various load buses. The inputs are a combination of voltage, voltage change, and power change, or voltage and power, and the outputs consist of the ZIP load model coefficients for determining the type and the percentage of load at the bus. The trained model is used to predict the type and percentage of constant load at other buses using simulated transient data from the 16-generator system. A small study was also done using a dynamic induction machine model in addition to the ZIP load model. As expected, the results show that the dynamic model is more difficult to determine than the static model.
Miller, Paul. "Automated Syndromic Surveillance using Intelligent Mobile Agents." Thesis, University of North Texas, 2007. https://digital.library.unt.edu/ark:/67531/metadc5141/.
Amini, Reza. "Learning Data-Driven Models of Non-Verbal Behaviors for Building Rapport Using an Intelligent Virtual Agent." FIU Digital Commons, 2015. http://digitalcommons.fiu.edu/etd/1765.
Lim, B. S. "Feasibility study of integrating workpiece design to tool engineering using artificial intelligence and CAD principles." Thesis, University of Nottingham, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.376630.
Theramongkol, Phunsak. "Intelligent ozone-level forecasting using artificial neural network." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0021/MQ54752.pdf.
Tsang, Yiu-ming. "Intelligent polishing using fuzzy logic and genetic algorithm." View the Table of Contents & Abstract, 2006. http://sunzi.lib.hku.hk/hkuto/record/B37206400.
Dobrynin, Mikhail. "Using intelligent agents for complex software systems maintenance." Ohio : Ohio University, 2002. http://www.ohiolink.edu/etd/view.cgi?ohiou1174588678.
Filipe, Joaquim Belo Lopes. "Normative organisational modelling using intelligent multi-agent systems." Thesis, Staffordshire University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327505.
Gani, Abdullah Bin. "Intelligent Network Bandwidth Control Using Reinforcement Learning Approach." Thesis, University of Sheffield, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.521998.
Edmiston, Marcia R., Darrell R. Gregg, and David G. Wirth. "Decision support for reconnaissance using intelligent software agents." Thesis, Monterey, California. Naval Postgraduate School, 1998. http://hdl.handle.net/10945/8192.
Research in reconnaissance traditionally focuses on data detection and discrimination methods. Less emphasis is placed on transforming the collected data into useful information and presenting it to key command and control nodes. Information not presented in a timely manner is excluded from the decision process. This thesis proposes a conceptual model of intelligent software agents to support the human decision process and reconnaissance- related tasks. The Mobile Agent Reconnaissance Kit (MARK) suggests a hierarchy of software agents to facilitate data integration and coordination in a network- centric multisensor environment. The model uses static and mobile agents to collect data from dispersed, heterogeneous data sources, process and fuse the data, and present the resultant information to the user in an HTML file. The authors explore applications of MARK in terms of the military Intelligence Cycle, the Joint Director of Laboratories (JDL) Technical Panel for C3I Data Fusion Model, and the Joint Operations Planning and Evaluation System (JOPES) crisis Action Planning
Tsang, Yiu-ming, and 曾耀明. "Intelligent polishing using fuzzy logic and genetic algorithm." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B38589291.
Karim, Kh Nafis. "INTELLIGENT SYSTEM FOR MONITORING PHYSIOLOGICAL PARAMETERS USING CAMERA." Thesis, Mälardalens högskola, Inbyggda system, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-29834.
Escamilla-Ambrosio, Ponciano Jorge. "Intelligent adaptive multisensor data fusion using hybrid architectures." Thesis, University of Sheffield, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.398626.
De, Yuan Wei. "Application of intelligent monitoring using chromatic signal processing." Thesis, University of Liverpool, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.400122.
El-Zein, Ahmad A. "Sparse matrix computations using the intelligent file store." Thesis, University of Essex, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.305948.
Sivagnanasundaram, Suthaharan. "GSM mobility management using an intelligent network platform." Thesis, Queen Mary, University of London, 1997. http://qmro.qmul.ac.uk/xmlui/handle/123456789/3820.
Bish, Nigel B. "Dielectric condition monitoring using intelligent partial discharge analysis." Thesis, University of Brighton, 2003. https://research.brighton.ac.uk/en/studentTheses/5dfeb20c-6066-41b8-ba10-59ae9a7877af.
Aburrous, Maher R., M. Alamgir Hossain, F. Thabatah, and Keshav P. Dahal. "Intelligent phishing website detection system using fuzzy techniques." IEEE, 2008. http://hdl.handle.net/10454/2640.
Dobrynin, Mikhail P. "Using intelligent agents for complex software systems maintenance." Ohio University / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1174588678.
Yang, Li. "Building an Intelligent Filtering System Using Idea Indexing." Thesis, University of North Texas, 2003. https://digital.library.unt.edu/ark:/67531/metadc4275/.
Rashid, Zahin Azher. "Intelligent Scheduling for Yarn : Using Online Machine Learning." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-219607.
Många stora företag som tillhandahåller molninfrastruktur, plattformar och tjänster måste möta många utmaningar när det handlar om stora data och utförandeav tusentals uppgifter som körs på servrar. Tusentals servrar som kör i molnetförbrukar en stor mängd energi vilket i hög grad ökar driftskostnaden för företag som tillhandahåller infrastrukturer och plattformar som tjänster. Hundratusentals applikationer skickas varje dag på dessa servrar av användare. Vid inlämning av ansökningar på något sätt utnyttjas inte de totala resurserna korrekt, vilket medför att de totala driftskostnaderna ökar. En distribution av Apache Hadoop, kallad HOPS, är utvecklad hos SICS Swedish ICT, och det görs ansträngningar för att göra den till en bättre plattform för institutioner och företag. Garn används som resurshanteringsoch schemaläggningsramen som är ansvarig för att allokera resurser som minne och CPU-kärnor till inlämnade applikationer. Garn fördelar helt enkelt resurser utifrån standardvärdet av värden eller vilken användare som har krävt. Garn har ingentidigare information om de inlämnade ansökningarna så det är mycket möjligtatt tilldelade resurser är mer eller mindre än vad som krävs. Energi slösas bort om färre resurser krävs eller ansökan kommer sannolikt inte att lyckas om det behövs mer. I detta forskningsprojekt undersöks olika tekniker och metoder för insamling av användbara mätvärden relaterade till applikationer och resurser från Garn, Spark och andra källor. Machine Learning blir idag en mycket populär teknik för optimering av systemsom hanterar stora data i en molnmiljö.Målet är att samla in dessa viktigamätvärden och bygga en maskininlärningsmodell för att beställa smart fördelning av resurser till inlämnade applikationer. Detta kan hjälpa till att öka effektiviteten hos servrarna i molnet och minska driftskostnaden. Slutligen utvecklades en maskininlärningsmodell och minnet och vCores hade framgångsrikt förutsagt att tilldelas applikationer.
Kollu, Kavya. "PROTOTYPE OF AN INTELLIGENT TUTORING SYSTEM USING THE JAVA EXPERT SYSTEM SHELL." Master's thesis, Temple University Libraries, 2011. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/118314.
M.S.E.
In a technology driven world, efforts are being made to make education/learning available to individuals at any time with no compromise in the quality of teaching/training. To make learning flexible, different techniques such as distributing learning material, uploading audio lectures on the web, and creating intelligent tutoring systems (ITS) are being used. The technique considered here is an adaptive ITS, a system that replicates the learning that occurs in a student teacher relationship. This thesis develops an adaptive intelligent tutoring system architecture prototype where the addition, modification and removal of educational material are relatively easy. The resulting software will take into account: the goals of the specific educational experience, the concepts to be covered, the preferred learning style of the student, measures to detect misuse of the system functionality, behavior based on the student's performance and the generation of hint sequences and feedback messages to improve learning gain. The system will accomplish these objectives by assessing the student's prior knowledge level, observing the actions performed by the student and by adapting to his/her learning abilities. The ITS will attempt to be more intelligent by performing some actions traditionally done by a human teacher - such as diagnosing misconceptions, identifying the most suitable learning style, stressing concepts that the student is finding difficult to understand, switching back to the learning material if the student shows no improvement after a set of trials. The system makes sure that the student is getting feedback where appropriate. Using this prototype system, the student will be tutored to acquire declarative knowledge. A problem based learning (PBL) approach will be used to strengthen the acquired knowledge by providing a high degree of personal attention to the student. To show how the prototype system works, an example of analysis of a control system problem using bode plot technique will be used to assist the student in using the technique to perform the stability analysis of an analog, linear, time-invariant control system problems and to recommend a controller to attain stability (if the system is not stable). Ideas of porting the system from standalone to web-based architecture and features required for collaborative learning will be discussed and an architecture for a web-based tutoring system for supporting multiple students enabling communication between students and sharing data among them will be proposed.
Temple University--Theses
Elvira, Boman. "Deep Reinforcement Learning for Intelligent Road Maintenance in Small Island Developing States Vulnerable to Climate Change : Using Artificial Intelligence to Adapt Communities to Climate Change." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-373502.
Colon, Matthew J. "Controlling the Uncontrollable: A New Approach to Digital Storytelling using Autonomous Virtual Actors and Environmental Manipulation." DigitalCommons@CalPoly, 2010. https://digitalcommons.calpoly.edu/theses/261.
Lang, Andreas. "Face Detection using Swarm Intelligence." Universitätsbibliothek Chemnitz, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-64415.
Lang, Andreas. "Face Detection using Swarm Intelligence." Technische Universität Chemnitz, 2010. https://monarch.qucosa.de/id/qucosa%3A19439.
Rampal, Gaurav S. "Developing mobile distributed intelligent network services using RM-ODP." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ32556.pdf.
Schey, Nathan C. "Song identification using the numenta platform for intelligent computing." Connect to resource, 2008. http://hdl.handle.net/1811/32025.
Guglielmo, Eugene J. "Intelligent information retrieval for a multimedia database using captions." Thesis, Monterey, California. Naval Postgraduate School, 1992. http://hdl.handle.net/10945/23705.