Rozprawy doktorskie na temat „Speech reinforcement”
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McMinn, Terrance. "Development Of An Evaluation Tool For Use At The Design Stage Of Auditoria With Respect To Unassisted Speech Reinforcement". Thesis, Curtin University, 1996. http://hdl.handle.net/20.500.11937/1639.
Pełny tekst źródłaMcMinn, Terrance. "Development Of An Evaluation Tool For Use At The Design Stage Of Auditoria With Respect To Unassisted Speech Reinforcement". Curtin University of Technology, School of Architecture, Construction and Planning, 1996. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=12331.
Pełny tekst źródłaCurrently, there are only two methods of evaluating the Speech Transmission of an enclosure: Build a full size enclosure and test; or simulate mathematically to derive the performance. At the time this thesis was commenced there were no commercial simulation programs available that could derive Speech Transmission Index information. The evaluation tool has been implemented as a computer program, based on IBM PC type computers running Microsoft WINDOWS 3.1 or later. The implementation uses the image method for the 'ray trace' algorithm. This basic image method utilises the enhancements made by a number of authors. In particular the Transformation Matrix method and homogenous coordinates have been used to improve the speed of the algorithm. Pre-computation of mutually invisible planes allows trimming the number of possible combination of rays that need to be computed. Results of physical measurement from two case studies have been compared to results of the simulation. Good correlation between the simulations and the case studies were achieved for the Speech Transmission Index and RASTI values. The accuracy of the simulation,in terms of decay based indices, is limited by the lack of sufficient tail to the calculated number of rays. Further research and implementation of hybrid techniques utilising both the image method and more traditional ray-tracing algorithms to improve the quality of the calculated decay data are required. Investigation of techniques used in photo-realism 'ray-tracing' may result in far more realistic data which is the basic input to the Speech Transmission Index calculations.
Saavedra, Ingrid Marcela. "Free Operant Comparison of Interventions for Problematic Speech Using Reinforcement With and Without Preferred Topics". Scholarly Commons, 2019. https://scholarlycommons.pacific.edu/uop_etds/3608.
Pełny tekst źródłaNalamothu, Abhishek. "Abusive and Hate Speech Tweets Detection with Text Generation". Wright State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1567510940365305.
Pełny tekst źródłaKim, Hanna Y. "The use of differential reinforcement of other behavior (DRO) to reduce scripting in a child with autism". Thesis, Kaplan University, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=1539953.
Pełny tekst źródłaThis case study evaluated the effects of differential reinforcement of other behavior (DRO) on scripting in a four year-old child with Autism Spectrum Disorder, Obsessive Compulsive Disorder and Celiac Disease. The overall goal was to show that DRO as the only independent variable could reduce scripting in a child with autism. A vibrator was set to vibrate every six minutes to indicate the end of each interval during intervention and the behavior was measured using a partial-interval time sampling method during the two hour in-home private Applied Behavior Analysis session over a two month period. An A-BC-C design demonstrated that DRO successfully decreased scripting behavior in the child with autism. A dependent paired samples t-test was used to compare the rates of scripting during the first three days of baseline and last three days of intervention. Results demonstrated a 29% decrease in scripting behavior. This result extends previous research that showed DRO, within a combined intervention, could be effective in decreasing scripting of adolescents with autism.
Acevedo, Valle Juan Manuel. "Sensorimotor exploration: constraint awareness and social reinforcement in early vocal development". Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/667500.
Pełny tekst źródłaLa motivación principal de este trabajo es la magnitud que las contribuciones al conocimiento en relación al desarrollo infantil pueden aportar a diferentes campos de la ciencia. Particularmente, este trabajo se enfoca en el estudio de los comportamientos de autoexploración sensorimotora en un marco robótico e inspirado en el campo de la psicología del desarrollo. Nuestro objetivo principal es entender el papel que juegan las restricciones motoras y los reflejos imitativos durante la exploración espontánea observada en infantes. Así mismo, este trabajo hace especial énfasis en el desarrollo vocal-auditivo en infantes, que les provee con las herramientas que les permitirán producir sus primeras palabras. Trabajos anteriores han demostrado que los comportamientos de autoexploración sensorimotora en niños, la cual ocurre en gran medida por motivaciones intrínsecas, es un elemento importante para aprender a controlar su cuerpo con tal de alcanzar estados sensoriales específicos. Además, evidencia obtenida de estudios biológicos sugiere tajantemente que la adquisición de conocimiento es regulada por el ambiente en el cual un agente cognitivo se desenvuelve y por el cuerpo del agente per se. Incluso, los procesos de desarrollo que ocurren a nivel físico, cognitivo y social también regulan que es aprendido y cuando esto es aprendido. La primera parte de este trabajo provee al lector con la evidencia teórica y práctica que demuestran la relevancia de esta investigación. Recorriendo conceptos que van desde las ciencias cognitivas y del desarrollo, llegamos a la conclusión de que el lenguaje, y por tanto el habla, deben ser estudiados como fenómenos cognitivos que requieren un cuerpo físico y además un ambiente propicio para su existencia. En la actualidad los sistemas robóticos, reales y simulados, pueden ser considerados como elementos para el estudio de los fenómenos cognitivos naturales. En este trabajo consideramos un ejemplo simple para probar las arquitecturas cognitivas que proponemos, y posteriormente utilizamos dichas arquitecturas con un sintetizador de voz similar al mecanismo humano de producción del habla. Como primera contribución de este trabajo proponemos introducir un mecanismo para construir robots capaces de considerar sus propias restricciones motoras durante la etapa de autoexploración sensorimotora. Ciertos mecanismos de motivación intrínseca para exploración sensorimotora han sido estudiados como posibles conductores de las trayectorias de desarrollo observadas durante el desarrollo temprano del habla. Sin embargo, en previos estudios no se consideró o que este desarrollo está a delimitado por restricciones debido al ambiente, al cuerpo físico, y a las capacidades sensoriales, motoras y cognitivas. En nuestra arquitectura, asumimos que un agente artificial no cuenta con conocimiento de sus limitantes motoras, y por tanto debe descubrirlas durante la etapa de autoexploración. Para tal efecto, el agente es proveído de un sistema somatosensorial que le indica cuando una configuración motora viola las restricciones impuestas por el propio cuerpo. Finalmente, como segunda parte de nuestra contribución proponemos incluir un mecanismo para reforzar el aprendizaje durante la autoexploración. Estudios anteriores demostraron que el ambiente lingüístico en que se desarrolla un infante, o un agente artificial, condiciona sus producciones vocales durante la autoexploración o balbuceo. En este trabajo nos enfocamos en el estudio de episodios de imitación que ocurren durante el desarrollo temprano de un agente. Basados en estudios sobre la interacción entre madres e hijos durante la etapa pre lingüística, proponemos un mecanismo para reforzar el aprendizaje durante la autoexploración con unidades sensoriales relevantes. Entonces, a partir de la arquitectura con autoconocimiento de restricciones motores, construimos una arquitectura que incluye un instructor experto en control sensorimotor. Las interacciones entre el aprendiz y el experto ocurren cuando el aprendiz produce una unidad sensorial relevante para la comunicación durante la autoexploración. En este caso, el experto percibe esta similitud y responde reformulando la producción del aprendiz como la unidad relevante. Cuando el aprendiz percibe una acción del experto, inmediatamente intenta imitarlo. Los resultados presentados en este trabajo sugieren que, los sistemas somatosensoriales, y el reforzamiento social contribuyen a lograr mejores resultados durante la etapa de autoexploración sensorimotora motivada intrínsecamente. En este sentido, se logra una exploración menos redundante, los errores de exploración y evaluación disminuyen, y por último se obtiene una imagen más nítida de las transiciones entre etapas del desarrollo.
La motivació principal d'aquest treball és la magnitud que les contribucions al coneixement en relació al desenvolupament infantil poden aportar a diferents camps de la ciència. Particularment, aquest treball s'enfoca en l'estudi dels comportaments d’autoexploració sensorimotora en un marc robòtic i inspirat en el camp de la psicologia del desenvolupament. El nostre objectiu principal és entendre el paper que juguen les restriccions motores i els reflexos imitatius durant l’exploració espontània observada en infants. Així mateix, aquest treball fa especial èmfasi en el desenvolupament vocal-auditiu en infants, que els proveeix amb les eines que els permetran produir les seves primeres paraules. Treballs anteriors han demostrat que els comportaments d'autoexploració sensorimotora en nens, la qual ocorre en gran mesura per motivacions intrínseques, és un element important per aprendre a controlar el seu cos per tal d'assolir estats sensorials específics. A més, evidencies obtingudes d'estudis biològics suggereixen que l’adquisició de coneixement és regulada per l'ambient en el qual un agent cognitiu es desenvolupa i pel cos de l'agent per se. Fins i tot, els processos de desenvolupament que ocorren a nivell físic, cognitiu i social també regulen què és après i quan això ès après. La primera part d'aquest treball proveeix el lector amb les evidencies teòrica i pràctica que demostren la rellevància d'aquesta investigació. Recorrent conceptes que van des de les ciències cognitives i del desenvolupament, vam arribar a la conclusió que el llenguatge, i per tant la parla, han de ser estudiats com a fenòmens cognitius que requereixen un cos físic i a més un ambient propici per a la seva existència. En l'actualitat els sistemes robòtics, reals i simulats, poden ser considerats com a elements per a l'estudi dels fenòmens cognitius naturals. En aquest treball considerem un exemple simple per provar les arquitectures cognitives que proposem, i posteriorment utilitzem aquestes arquitectures amb un sintetitzador de veu similar al mecanisme humà de producció de la parla. Com a primera contribució d'aquest treball proposem introduir un mecanisme per construir robots capaços de considerar les seves pròpies restriccions motores durant l'etapa d'autoexploració sensorimotora. Certs mecanismes de motivació intrínseca per exploració sensorimotora han estat estudiats com a possibles conductors de les trajectòries de desenvolupament observades durant el desenvolupament primerenc de la parla. No obstant això, en previs estudis no es va considerar que aquest desenvolupament és delimitat per restriccions a causa de l'ambient, el cos físic, i les capacitats sensorials, motores i cognitives. A la nostra arquitectura, assumim que un agent artificial no compta amb coneixement dels seus limitants motors, i per tant ha de descobrir-los durant l'etapa d'autoexploració. Per a tal efecte, l'agent és proveït d'un sistema somatosensorial que li indica quan una configuració motora viola les restriccions imposades pel propi cos. Finalment, com a segona part de la nostra contribució proposem incloure un mecanisme per reforçar l'aprenentatge durant l'autoexploració. Estudis anteriors han demostrat que l'ambient lingüísticstic en què es desenvolupa un infant, o un agent artificial, condiciona les seves produccions vocals durant l'autoexploració o balboteig. En aquest treball ens enfoquem en l'estudi d'episodis d’imitació que ocorren durant el desenvolupament primerenc d'un agent. Basats en estudis sobre la interacció entre mares i fills durant l'etapa prelingüística, proposem un mecanisme per reforçar l'aprenentatge durant l'autoexploració amb unitats sensorials rellevants. Aleshores, a partir de l'arquitectura amb autoconeixement de restriccions motors, vam construir una arquitectura que inclou un instructor expert en control sensorimotor. Les interaccions entre l'aprenent i l'expert, ocorren quan una producció sensorial de l'aprenent durant l'autoexploració és similar a una unitat sensorial rellevant per a la comunicació. En aquest cas, l'expert percep aquesta similitud i respon reformulant la producció de l'aprenent com la unitat rellevant. Quan l'aprenent percep una acció de l'expert, immediatament intenta imitar-lo. Els resultats presentats en aquest treball suggereixen que els sistemes somatosensorials i el reforçament social contribueixen a aconseguir millors resultats durant l'etapa d'autoexploració sensorimotora motivada intrínsecament. En aquest sentit, s'aconsegueix una exploració menys redundant, els errors d’exploració i avaluació disminueixen, i finalment s’obté una imatge més nítida de les transicions entre etapes del desenvolupament
Budhan, Jamie A. "The Impact of a Novel Gaming Reinforcement System on Oral Intake Outcomes in Pediatric Dysphagia Therapy: A Pilot Study". Miami University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=miami1525427023914417.
Pełny tekst źródłaLee, Joanna Chen. "Are individual differences in language associated with differences in the corticostriatal system? A behavioral and imaging study". Diss., University of Iowa, 2012. https://ir.uiowa.edu/etd/2927.
Pełny tekst źródłaGentet, Enguerrand. "Amélioration de l'intelligibilité de signaux audio de parole en contexte bruité automobile". Electronic Thesis or Diss., Institut polytechnique de Paris, 2021. http://www.theses.fr/2021IPPAT008.
Pełny tekst źródłaSpeech is nowadays present in a number of in-car applications ranging from hands-free communications, radio programs to speech synthesis messages from the various car devices.However, despite the steady car manufacturing progress, significant noise still remains in the car interior that leads to a loss of intelligibility of speech signals. The PhD work aims at developping speech reinforcement tools in order to process the signals before they are played in a noisy in-car environment.A highly effective speech reinforcement approach is to use a frequency equalizer to optimize an intelligibility criterion : the Speech Intelligibility Index (SII). To facilitate optimization, current methods are based on approximations of the criterion. In addition, by concentrating the spectral energy of the signal in areas where the ear is more sensitive, these methods increase the perceived volume which can deteriorate the user experience. Thus, in addition to proposing an exact method of solving the SII maximization problem, our work proposes to introduce and study the influence of a new perceptual constraint in order to maintain the signals at their perceived level.The popularization of machine learning approaches pushes to learn speech reinforcement processings from examples naturally produced in noise (Lombard speech), or by over-articulation (clear speech). Current work fails to achieve intelligibility gains as significant as with natural modification, and we believe that the many temporal aspects neglect may be partially responsible. Our work therefore proposes to deepen these approaches by exploiting learning models and pre-processings adapted to long duration sequences. We also propose a new modeling of the speech rate modifications that directly fits in the machine learning model which had never been done before
Dabare, Gamage Hasitha Dilshani. "Adaptive driving-speed control at signalised intersection using reinforcement learning". Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/121732/1/Hasitha%20Dilshani_Dabare%20Gamage_Thesis.pdf.
Pełny tekst źródłaConteh, Michael Abu. "ENHANCEMENT OF HIGH-SPEED FLYWHEEL ENERGY STORAGE VIA CARBON-FIBER COMPOSITE REINFORCEMENT". OpenSIUC, 2016. https://opensiuc.lib.siu.edu/dissertations/1191.
Pełny tekst źródłaMa, Qi. "Reinforcement in Biology : Stochastic models of group formation and network construction". Doctoral thesis, Uppsala universitet, Analys och tillämpad matematik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-186989.
Pełny tekst źródłaImbert, Mathieu. "High speed reactive RTM with on-line mixing in dualscale fibrous reinforcements : Experimental and numerical developments and investigations". Thesis, Ecole centrale de Nantes, 2017. http://www.theses.fr/2017ECDN0017/document.
Pełny tekst źródłaHigh Speed Resin Transfer Molding (RTM) is a promising composite manufacturing process fitting automotive industry requirements to produce complex structural parts with a perspective of short cycle times. However, cycle time reductions are a real challenge. In this process, a resin mixed on-line with curing agents is injected in the cavity of a mold containing a fibrous reinforcement. This flow of reactive resin generates acomplex flow pattern and strong thermo-chemo rheological couplings. Due to the high sensitivity of the resin cure, and the tight cycle times, prediction of the optimal injection strategy is very difficult and very expensive to conduct experimentally. In this context, two goals where followed in this work: 1. Identify and quantify experimentally the mechanisms, related to the process or to the reinforcement, influencing the reactive RTMprocess with on-line mixing and 2. Develop a numerical simulation method in a view of introducing the identified mechanisms in the industrial software PAMCOMPOSITE developed by ESI Group. Identification and quantification of the mechanisms were realized thanks to experimental investigations and numerical simulations. A new experimental setup has been developed for the investigation of the mechanism of intra-tow resin storage through macro-scale and micro-scale observations. Additionally, a numerical method has been developed to simulate the reactive flow of a resin in single and dual scale porous materials. This method allowed both to investigate local mechanisms difficult to study experimentally and prepare the transfer to the industrial software of ESI
Duong, Trong Vinh, i Trong Vinh Duong. "On the hydro-mechanical behavior of ancient railway flatforms in term of reinforcement by soil-mixing". Phd thesis, Université Paris-Est, 2013. http://pastel.archives-ouvertes.fr/pastel-00945680.
Pełny tekst źródłaDuong, Trong Vinh. "On the hydro-mechanical behavior of ancient railway flatforms in term of reinforcement by soil-mixing". Thesis, Paris Est, 2013. http://www.theses.fr/2013PEST1106/document.
Pełny tekst źródłaThe present work deals with the behavior of ancient railway sub-structure in France. A statistical study was firstly undertaken on problems occurred in the whole ancient French railway network. The analysis evidenced the particular importance of sub-grade quality for the performance of the sub-structure and the track geometry. Afterwards, an ancient railway line in the West of France was investigated. The analysis showed that the degradation speed of this line was correlated with different parameters such as the nature of sub-grades and the thickness of different layers. An increase trend of degradation speed with the increase in interlayer thickness was identified. The interlayer has a positive impact since it reduces the train-induced stress applied to the sub-grade. The hydro-mechanical behavior of interlayer soil under different conditions (water content, fines content, stress, number of cycles) was investigated. A set of triaxial tests and infiltration tests were performed for this purpose. By analyzing the shear strength properties, the permanent axial strain and the resilient modulus of interlayer soil, we found that the water content and the fines content must be considered together. Adding more fines into the interlayer presents a positive impact under unsaturated conditions thanks to the suction effect, but a negative impact under saturated conditions. The infiltration column tests with drying/wetting cycles showed that the hydraulic conductivity of interlayer soil is governed by fines fraction but did not change significantly with fines content. In order to study the mechanism of interlayer creation and mud pumping, a physical model of 550 mm inner diameter was developed. Soil samples representing the ancient French railway substructure with a ballast layer overlying an artificial silt layer (mixture of crushed sand and kaolin were tested. The effects of monotonic and cyclic loadings, water content and dry unit mass of sub-soil were investigated. It was found that the pore water pressure developed in the sub-soil and the sub-soil stiffness are the key factors for the migration of fine particles or the creation of interlayer/mud pumping. Water is the necessary condition, but it is the soil compressibility that governs the phenomenon to occur
Miliukas, Vaclovas. "Mokymo pastiprinimu metodų pritaikymas kompiuterinio žaidimo personažui interaktyvioje 2D/3D grafikos sistemoje". Master's thesis, Lithuanian Academic Libraries Network (LABT), 2011. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110615_135123-39720.
Pełny tekst źródłaIn this work was offered an adjustments of techniques and methods of artificial intelligence for computer player, in two-players combat games. There was tried to adapt the artificial intelligence to the computer player, with those proposed techniques and methods in this type of games. Also was investigated whether those proposed techniques and methods suits for this class of computer games. In this work also was analyzed agent learning speed, on what depends it and explored the factors that determines the rapid learning speed and efficient use of agent knowledge. Discovered and investigated factors were fitted to the rapid learning speed and efficient use of agent knowledge.
Fleiter, Judy Jeanette. "Examining psychosocial influences on speeding in Australian and Chinese contexts : a social learning approach". Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/35662/1/Judy_Fleiter_Thesis.pdf.
Pełny tekst źródłaHuang, Chao-Yuan, i 黃肇元. "Reinforcement Learning Based Speech Enhancement for Improving Speech Quality". Thesis, 2018. http://ndltd.ncl.edu.tw/handle/ftd7me.
Pełny tekst źródła國立交通大學
電機工程學系
106
Speech enhancement to cancel the noises in the environment has been an important topic in speech signal processing. Koizumi's research group proposed deep-neural-network-based reinforcement learning (DNN-RL) to enhance the speech in accordance with the speech quality. Their method is said to utilize limited training data efficiently and is better than the DNN-mapping method. Hence, we propose three optimization techniques to further boost the performance. First, we propose two procedures to define the actions and make a comparison between other number of templates. Second, we extend the one-level DNN-RL which yields the best speech quality to a two-level DNN-RL to separately enhance the high-frequency and low-frequency regions. Last, the Monte Carlo method is combined with the proposed DNN-RLs to ensure the stability of algorithm. To evaluate these three optimization techniques, experiments are designed to measure the difference of speech intelligibility and speech quality under different noise condition. Judging from the experiment results, the proposed procedures of defining actions has higher speech quality scores than the original procedure while the number of actions barely influences the speech quality. Also, the two-level DNN-RL produces better speech quality than the one-level DNN-RL. Last, DNN-RL combined with the Monte Carlo method benefits speech quality. Future work to combine the optimized DNN-RL method into the regression-based speech enhancement method is expected to produce a better result.
Eby, Carly Moher. "Effects of Social Reinforcement Versus Tokens on the Spontaneous Speech of Preschoolers". Thesis, 2011. https://doi.org/10.7916/D8P84JWS.
Pełny tekst źródłaTsai, Cheng-Yu, i 蔡政昱. "Mutual Reinforcement for Acoustic Tokens and Multi-level Acoustic Tokenizing Deep Neural Network for Unsupervised Speech Feature Extraction and Spoken Term Discovery". Thesis, 2015. http://ndltd.ncl.edu.tw/handle/88386789472006613910.
Pełny tekst źródłaShiao, Ming Chang, i 蕭明章. "A Cooperative Reinforcement Learning Approach to Congestion Control of High-Speed Multimedia Networks". Thesis, 2005. http://ndltd.ncl.edu.tw/handle/72604772847295632652.
Pełny tekst źródła國立中正大學
電機工程研究所
93
In recent years, the advanced communications technologies supply more and more network bandwidth. However, Internet users increase rapidly result in the network bandwidth is exhausted. When too many users are present in the Internet cause performance degrades. This situation is called congestion. Low throughput, high packet loss rate and high transmit delay result from congestion. The problem of insufficient bandwidth can be improved by way of enhancing the congestion control mechanism so that it can work more efficiently. Traditional methods for congestion control always monitor the queue length, on which the source rate depends. This paper is meant to explore the proposed congestion control with cooperative reinforcement learning (RL) scheme that differ from control method of AIMD, to adapt to the variant network environment. The RL scheme, mainly implemented by artificial neural networks (ANNs), consists of two subsystems: the expectation-return predictor is a long-term policy evaluator and the other is a short-term action selector, which is composed of an action-value evaluator and a stochastic action selector. In this research, we divide the study of proposed congestion control into three applications. The first application applies a RL scheme to congestion control in multimedia networks. The proposed RL scheme receives reinforcement signals generated by an immediate reward evaluator and takes the best action in the sense of state value evaluation to control source rates in consideration of system performance. The second application is the study for an adaptive multi-agent RL scheme on solving congestion control problems on dynamic high-speed networks. After receiving cooperative reinforcement signals generated by a cooperative fuzzy reward evaluator, the proposed cooperative multi-agent congestion control can learn to take correct actions adaptively under time-varying environments. The last one is the study for a cooperative congestion control for multimedia networks based on learning approach. In order to make the best of link utilization, a cooperative fuzzy reward evaluator provides cooperative reinforcement signals based on game theory are included. Simulation results have shown that these proposed approaches can increase system utilization and decrease packet losses simultaneously.
Gomes, Diana Filipa Maia. "Influence of the test speed on the force vs. elongation curves of reinforcement materials". Master's thesis, 2015. https://repositorio-aberto.up.pt/handle/10216/89038.
Pełny tekst źródłaChen, Yung-Hsiu, i 陳永修. "Manipulator Trajectory Planning for Obstacle Avoidance and Energy/speed Optimization Based on Reinforcement Learning". Thesis, 2018. http://ndltd.ncl.edu.tw/handle/5zh59k.
Pełny tekst źródła國立臺灣大學
機械工程學研究所
106
Industrial automation has become an important issue in recent years, more and more manipulators are applied to manufactories. Instead of manpower, industries prefer automated machine which has more advantages. For example, industrial automation can provide a high productivity, allowing the company to run a manufacturing plant for 24 hours every day. Besides, it has high safety when the plant is in an extreme environment. While artificial intelligence becomes a growing trend, some technologies are applied to robotics to improve the control policies or performance in unknown environment. This research focuses on trajectory optimization and dynamic model compensation. Without directly controlling each joint motor, trajectory command is sent according to the given form, which contains the via points of the trajectory. This research deals with energy and time optimization by using reinforcement learning. Designing the actor-critic agent and reward contains energy/time consumption and obstacle/torque constraints. The actions will change the position and speed of via points, the aim is to get the action of the highest reward. In the experimental stage, the dynamic model exists some differences between simulation and reality. To ensure the availability of simulation, this research uses neural networks to compensate the model.
Gomes, Diana Filipa Maia. "Influence of the test speed on the force vs. elongation curves of reinforcement materials". Dissertação, 2015. https://repositorio-aberto.up.pt/handle/10216/89038.
Pełny tekst źródłaPatrick, Sean. "A computational model of cortical-striatal mediation of speed-accuracy tradeoff and habit formation emerging from anatomical gradients in dopamine physiology and reinforcement learning". Thesis, 2018. https://hdl.handle.net/2144/33209.
Pełny tekst źródła(8072417), Braiden M. Frantz. "Active Shooter Mitigation for Open-Air Venues". Thesis, 2021.
Znajdź pełny tekst źródłaThis dissertation examines the impact of active shooters upon patrons attending large outdoor events. There has been a spike in shooters targeting densely populated spaces in recent years, to include open-air venues. The 2019 Gilroy Garlic Festival was selected for modeling replication using AnyLogic software to test various experiments designed to reduce casualties in the event of an active shooter situation. Through achievement of validation to produce identical outcomes of the real-world Gilroy Garlic Festival shooting, the researcher established a reliable foundational model for experimental purposes. This active shooter research project identifies the need for rapid response efforts to neutralize the shooter(s) as quickly as possible to minimize casualties. Key findings include the importance of armed officers patrolling event grounds to reduce response time, the need for adequate exits during emergency evacuations, incorporation of modern technology to identify the shooter’s location, and applicability of a 1:548 police to patron ratio.