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Rodríguez, Elen Yanina Aguirre. "Técnicas de aprendizado de máquina para predição do custo da logística de transporte : uma aplicação em empresa do segmento de autopeças /". Guaratinguetá, 2020. http://hdl.handle.net/11449/192326.
Texto completoResumo: Em diferentes aspectos da vida cotidiana, o ser humano é forçado a escolher entre várias opções, esse processo é conhecido como tomada de decisão. No nível do negócio, a tomada de decisões desempenha um papel muito importante, porque dessas decisões depende o sucesso ou o fracasso das organizações. No entanto, em muitos casos, tomar decisões erradas pode gerar grandes custos. Desta forma, alguns dos problemas de tomada de decisão que um gerente enfrenta comumente são, por exemplo, a decisão para determinar um preço, a decisão de comprar ou fabricar, em problemas de logística, problemas de armazenamento, etc. Por outro lado, a coleta de dados tornou-se uma vantagem competitiva, pois pode ser utilizada para análise e extração de resultados significativos por meio da aplicação de diversas técnicas, como estatística, simulação, matemática, econometria e técnicas atuais, como aprendizagem de máquina para a criação de modelos preditivos. Além disso, há evidências na literatura de que a criação de modelos com técnicas de aprendizagem de máquina têm um impacto positivo na indústria e em diferentes áreas de pesquisa. Nesse contexto, o presente trabalho propõe o desenvolvimento de um modelo preditivo para tomada de decisão, usando as técnicas supervisionadas de aprendizado de máquina, e combinando o modelo gerado com as restrições pertencentes ao processo de otimização. O objetivo da proposta é treinar um modelo matemático com dados históricos de um processo decisório e obter os predit... (Resumo completo, clicar acesso eletrônico abaixo)
Mestre
Chapala, Usha Kiran y Sridhar Peteti. "Continuous Video Quality of Experience Modelling using Machine Learning Model Trees". Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 1996. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17814.
Texto completoSehovic, Mirsad y Markus Carlsson. "Nåbarhetstestning i en baneditor : En undersökning i hur nåbarhetstester kan implementeras i en baneditor samt funktionens potential i att ersätta manuell testning". Thesis, Linnéuniversitetet, Institutionen för datavetenskap (DV), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-36394.
Texto completoThe following study examines whether it is possible to implement reachability testing in a map editor designed for 2D-platform games. The purpose of reachability testing is to replace manual testing, that being the level designer having to play through the map just to see if the player can reach all supposedly reachable positions in the map.A simple map editor is created to enable the implementation after which we perform a theoretical study in order to determine which algorithm would be best suited for the implementation of the reachability testing.The results comparing algorithms shows that A* (A star) worked best with the function. Whether or not manual testing can be replaced by automatic testing is open for debate, however the results points to an increase in time efficiency when it comes to level design.
Jiang, Minghui. "Map labeling with circles". Diss., Montana State University, 2005. http://etd.lib.montana.edu/etd/2005/jiang/JiangM0505.pdf.
Texto completoCarrigan, Braxton Bezdek András. "Evading triangles without a map". Auburn, Ala., 2010. http://hdl.handle.net/10415/2032.
Texto completoHislop, A. D. "Parallel algorithms for digital map path optimisation". Thesis, University of Southampton, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.315321.
Texto completoYuen, Patrick Wingkee. "Applying modified CLEAN algorithm to MAP image super-resolution". Diss., The University of Arizona, 1995. http://hdl.handle.net/10150/187279.
Texto completoSutton, David William Peter. "Map-making algorithms in future CMB polarisation experiments". Thesis, University of Oxford, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.540274.
Texto completoRankenburg, Ivan. "Application of the difference map algorithm to protein structure prediction". Saarbrücken VDM Verlag Dr. Müller, 2007. http://d-nb.info/991338103/04.
Texto completoLi, Xiaoli. "A map-growing localization algorithm for ad-hoc sensor networks /". free to MU campus, to others for purchase, 2003. http://wwwlib.umi.com/cr/mo/fullcit?p1418044.
Texto completoBen, Ammar Oussama. "Planification des réapprovisionnements sous incertitudes pour les systèmes d’assemblage à plusieurs niveaux". Thesis, Saint-Etienne, EMSE, 2014. http://www.theses.fr/2014EMSE0756/document.
Texto completoIn the current industrial context, the offer is largely higher than the demand. Therefore, the customers are more and more exigent. To distance themselves, companies need to offer to their customers the best quality products, the best costs, and with controlled lead times as short as possible. Last years, the struggle for reducing costs was accentuated within companies. However, stocks represent an important financial asset, and therefore, it is essential to control them. In addition, a bad management of stocks led either to delays in delivery, which generate additional production costs, either to the unnecessary inventory. The latter one can occur at different levels (from components at the last level to finished product), it costs money and immobilize funds. That is why, planners have to look for efficient methods of production and supply planning, to know exactly for each component, and when to order and in which quantity.The aim of this doctoral thesis is to investigate the supply planning in an uncertain environment. We are interested in a replenishment planning for multi-level assembly systems under a fixed demand and uncertainty of components lead times.We consider that each component has a fixed unit inventory cost; the finished product has an inventory cost and a backlogging cost per unit of time. Then, a general mathematical model for replenishment planning of multi-level assembly systems, genetic algorithm and branch and bound method are presented to calculate and to optimize the expected value of the total cost which equals to the sum of the inventory holding costs for the components, the backlogging and the inventory holding costs for the finished product. We can state by the different results that the convergence of the GA doesn't depend only on the number of components in the last level but also on the number of levels, the type of the BOM and the backlogging cost for the finished product
Sun, Chi. "A constrained MDP-based vertical handoff decision algorithm for wireless networks". Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/1243.
Texto completoAltaye, Endale Berhane. "Approximate recursive algorithm for finding MAP of binary Markov random fields". Thesis, Norwegian University of Science and Technology, Department of Mathematical Sciences, 2010. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-10824.
Texto completoThe purpose of this study was to develop a recursive algorithm for computing a maximum a posteriori (MAP) estimate of a binary Markov random field (MRF) by using the MAP-MRF framework. We also discuss how to include an approximation in the recursive scheme, so that the algorithm becomes computationally feasible also for larger problems. In particular, we discuss how our algorithm can be used in an image analysis setting. We consider a situation where an unobserved latent field is assumed to follow a Markov random field prior model, a Gaussian noise-corrupted version of the latent field is observed, and we estimate the unobserved field by the MAP estimator.
Parker, Michael Joseph. "Music Perception of Cochlear Implant recipients using a Genetic Algorithm MAP". Thesis, University of Canterbury. Communication Disorders, 2011. http://hdl.handle.net/10092/5235.
Texto completoBookwala, Avinash Turab. "Combined map personalisation algorithm for delivering preferred spatial features in a map to everyday mobile device users". AUT University, 2009. http://hdl.handle.net/10292/920.
Texto completoBadri, Linda. "Mcp : environnement de conception détaillée de logiciels". Lyon, INSA, 1990. http://www.theses.fr/1990ISAL0021.
Texto completoGallo, Melissa A. "Vascular Access: A Navigation Map". Mount St. Joseph University Dept. of Nursing / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=msjdn1619264506925441.
Texto completoChowdhury, Souma. "Modified predator-prey (MPP) algorithm for single-and multi-objective optimization problems". FIU Digital Commons, 2008. http://digitalcommons.fiu.edu/etd/2352.
Texto completoPimenta, Mayra Mercedes Zegarra. "Self-organization map in complex network". Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-30102018-111955/.
Texto completoUm Mapa Auto-organizativo (da sigla SOM, Self-organized map, em inglês) é uma rede neural artificial que foi proposta como uma ferramenta para análise exploratória em conjuntos de dados de grande dimensionalidade, sendo utilizada de forma eficiente na mineração de dados. Um dos principais tópicos de pesquisa nesta área está relacionado com as aplicações de agrupamento de dados. Vários algoritmos foram desenvolvidos para realizar agrupamento de dados, tendo cada um destes algoritmos uma acurácia específica para determinados tipos de dados. Esta tese tem por objetivo principal analisar a rede SOM a partir de duas abordagens diferentes: mineração de dados e redes complexas. Pela abordagem de mineração de dados, analisou-se como o desempenho do algoritmo está relacionado à distribuição ou características dos dados. Verificou-se a acurácia do algoritmo com base na configuração dos parâmetros. Da mesma forma, esta tese mostra uma análise comparativa entre a rede SOM e outros métodos de agrupamento. Os resultados revelaram que o uso de valores aleatórios nos parâmetros de configuração do algoritmo SOM tende a melhorar sua acurácia quando o número de classes é baixo. Observou-se também que, ao considerar as configurações padrão dos métodos adotados, a abordagem espectral usualmente superou os demais algoritmos de agrupamento. Pela abordagem de redes complexas, esta tese mostra que, se considerarmos outro tipo de topologia de rede, além do modelo regular geralmente utilizado, haverá um impacto na acurácia da rede. Esta tese mostra que o impacto na acurácia é geralmente observado em escalas de tempo de aprendizado curto e médio. Esse comportamento foi observado usando três conjuntos de dados diferentes. Além disso, esta tese mostra como diferentes topologias também afetam a auto-organização do mapa topográfico da rede SOM. A auto-organização da rede foi estudada por meio do particionamento do mapa em grupos ou comunidades. Foram utilizadas quatro medidas topológicas para quantificar a estrutura dos grupos em três modelos distintos de rede: modularidade, número de elementos por grupo, número de grupos por mapa, tamanho do maior grupo. Em redes de pequeno mundo, os grupos se tornam mais densos à medida que o tempo aumenta. Um comportamento oposto a isso é encontrado nas redes assortativas. Apesar da modularidade, tem um alto valor em ambos os casos.
Akbari, Masoomeh. "Probabilistic Transitive Closure of Fuzzy Cognitive Maps: Algorithm Enhancement and an Application to Work-Integrated Learning". Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/41401.
Texto completoLi, Ka-lun y 李嘉麟. "Newly modified log-map algorithms for turbo codes in mobile environments". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31224775.
Texto completoMatos, Jody Maick Araujo de. "Graph based algorithms to efficiently map VLSI circuits with simple cells". reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2018. http://hdl.handle.net/10183/174523.
Texto completoThis thesis introduces a set of graph-based algorithms for efficiently mapping VLSI circuits using simple cells. The proposed algorithms are concerned to, first, effectively minimize the number of logic elements implementing the synthesized circuit. Then, we focus a significant effort on minimizing the number of inverters in between these logic elements. Finally, this logic representation is mapped into a circuit comprised of only two-input NANDs and NORS, along with the inverters. Two-input XORs and XNORs can also be optionally considered. As we also consider sequential circuits in this work, flip-flops are taken into account as well. Additionally, with high-effort optimization on the number of logic elements, the generated circuits may contain some cells with unfeasible fanout for current technology nodes. In order to fix these occurrences, we propose an area-oriented, level-aware algorithm for fanout limitation. The proposed algorithms were applied over a set of benchmark circuits and the obtained results have shown the usefulness of the method. We show that efficient implementations in terms of inverter count, transistor count, area, power and delay can be generated from circuits with a reduced number of both simple cells and inverters, combined with XOR/XNOR-based optimizations. The proposed buffering algorithm can handle all unfeasible fanout occurrences, while (i) optimizing the number of added inverters; and (ii) assigning cells to the inverter tree based on their level criticality. When comparing with academic and commercial approaches, we are able to simultaneously reduce the average number of inverters, transistors, area, power dissipation and delay up to 48%, 5%, 5%, 5%, and 53%, respectively. As the adoption of a limited set of simple standard cells have been showing benefits for a variety of modern VLSI circuits constraints, such as layout regularity, routability constraints, and/or ultra low power constraints, the proposed methods can be of special interest for these applications. Additionally, some More-than-Moore applications, such as printed electronics designs, can also take benefit from the proposed approach.
Kumar, Lalit. "Scalable Map-Reduce Algorithms for Mining Formal Concepts and Graph Substructures". University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1543996580926452.
Texto completoLITTON, JENNIFER GROMMON. "HEURISTIC DESIGN ALGORITHMS AND EVALUATION METHODS FOR PROPERTY MAPS". University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin981488752.
Texto completoHedlin, Daniel. "Evaluating a 3D node graphing algorithm : Developing an algorithm for improving 3D map data and comparing resulting node graphs used for underground mines". Thesis, Luleå tekniska universitet, Datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-75641.
Texto completoGruvbolag moderniserar i snabb takt, en del av denna modernisering kräver spårning av utrustning och personal i gruvorna. Mobilaris använder 3D kartor som representerar gruvgångar med två linjer, ena representerar vänster vägg, medans den andra representerar höger vägg. Dessa linjer är ofta diskontinuerliga och blandade med andra linjer som representerar symboler, gamla linjer, felaktiga linjer och så vidare. För att bättre kunna spåra objekts positioner inom en gruva används en nodgraf som kartlägger de möjliga gruvgångarna. Denna nodgraf är delvis genererad och delvis manuellt skapad. De manuella korrigeringarna kräver i nuläget många arbetstimmar. Syftet med denna examen är att utvärdera den nuvarande nodgrafningsalgoritmen genom att utveckla ett program som förbättrar kartdatan. Denna förbättring utförs för att ge nodgrafningsalgoritmen den bästa möjliga kartdatan för att kunna bedöma inom vilka områden den är användbar och inom vilka den ej är det. Flera snabba problemspecifika algoritmer utvecklas för att ta bort linjer som ej tillhör de två väglinjerna, dessa algoritmer täcker ej alla fall på grund av tidsbegränsningar. En algoritm som sammanfogar väglinjer och en algoritm som ansluter diskontinuerliga linjer utvecklas, dessa algoritmer förbättrar kartdatans kvalitet avsevärt. Efter processeringen av kartorna är förbättringarna av de genererade nodgraferna små men ej osignifikanta med en 1% till sällsynt 20% minskning av avbrott. De största förbättringarna görs genom att efterbehandla de genererade nodgraferna, här skiljs kvaliteten mellan de gamla nodgraferna och de nya signifikant med en 75-80% minskning av avbrott. Många av den nuvarande nodgrafningsalgoritmens svagheter upptäcktes. Några av dessa svagheter kan korrigeras genom att efterbehandla nodgraferna, medans andra behöver antingen en ny eller ytterligare algoritmer för att lösas.
Dujmović, Vida. "Algorithmic aspects of planar map validation by a mobile agent". Thesis, McGill University, 2000. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=33394.
Texto completoThe robot is assumed to be able to autonomously traverse graph edges, recognize when it has reached a vertex, and locally order edges incident upon the current vertex. The robot cannot measure distances nor does it have a compass, but it is equipped with a single marker that it can leave at a vertex and sense its presence. In addition to the linear plane graph validation algorithm, we present an approach to solve the problem efficiently for some non-planar embeddings. Namely, if the given map GM is a non-planar embedding of a combinatorially planar graph, we can solve this problem with a similar approach such that the complexity remains linear.
陳廣輝 y Kwong-fai Chan. "Two results in algorithm design: finding least-weight subsequences with fewer processors and traversing anobstacle-spread terrain without a map". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1991. http://hub.hku.hk/bib/B31209579.
Texto completoChan, Kwong-fai. "Two results in algorithm design : finding least-weight subsequences with fewer processors and traversing an obstacle-spread terrain without a map /". [Hong Kong : University of Hong Kong], 1991. http://sunzi.lib.hku.hk/hkuto/record.jsp?B12996592.
Texto completoMendel, Thomas [Verfasser] y Stefan [Akademischer Betreuer] Funke. "Improved algorithms for map rendering and route planning / Thomas Mendel ; Betreuer: Stefan Funke". Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2020. http://d-nb.info/1218078774/34.
Texto completoSedláček, Josef. "Algoritmy pro shlukování textových dat". Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-218899.
Texto completoBonaciu, M. "Flexible and Scalable Algorithm/Architecture Platform for MP-SoC Design of High Definition Video Compression Algorithms". Phd thesis, 2006. http://tel.archives-ouvertes.fr/tel-00086779.
Texto completoJi, Wei-Jhong y 紀韋仲. "Topic map construction using bee colony algorithm". Thesis, 2016. http://ndltd.ncl.edu.tw/handle/xb5u77.
Texto completo元智大學
工業工程與管理學系
105
With the rapid development of the information technology, information overload is becoming a serious problem during the information acquisition process. Information overload leads users spend more time to find necessary knowledge. To relieve this difficulty, knowledge map is a systematic approach to reveal the underlying relationships between abundant knowledge sources. However, few studies focused on optimizing the coordinates of objects in the map. In addition, too many parameters should be set which lead them complicated and not intuition. To solve the above problems, this thesis presents a novel knowledge map approach to transform high-dimensional objects into a 2-dimensional space to help understand complicated relatedness among high-dimensional important topics. First, the papers related to certain domains are collected from the knowledge database and papers as the knowledge items that contains many keywords. Second, the collected knowledge items are presented as the vector space model (VSM). In VSM, keywords can be represented as a term vector in m-dimensional space where the term frequency-inverse document frequency (TF-IDF) approach is used for term weighting so that the tf-idf value increases proportionally to the number of times a keyword appears in the knowledge item. Third, hierarchical clustering is used find important topics. Additionally, high-dimensional relationships among objects are transformed into a 2-dimensional space using the multi-dimension scaling method. The optimal transformation coordinate matrix is also determined by using the artificial bee colony (ABC) algorithm. Then, this transformation coordinate matrix is used to construct a two-dimensional knowledge map so that the relationship among all important topics can be visualized easily. According to experiments, it is found that setting appropriate number of clusters is important for visual perception in the knowledge map. In addition, population size and iteration number in ABC algorithm can affect the results. This paper also shows the example of using the proposed topic knowledge map for research trend analysis in IOT during years 2011 to 2016.
Cho, Ya-Ting y 卓雅婷. "Iterative MAP algorithm for Gauss-Markov Channel". Thesis, 2005. http://ndltd.ncl.edu.tw/handle/23724818614295416930.
Texto completo國立交通大學
電信工程系所
93
In this paper, we experiment on the idea that the channel-with-memory nature can be nearly weakened to blockwise independence by the insertive transmission of informationless "random bits" (of length no less than the channel memory or channel spread) between two consecutive blocks. We found that these "random bits" can indeed be another parity check bits generated due to interleaved information bits such that additional coding information can be provided to improve the system performance. An exam- pli‾ed structure that follows this idea is the parallel concatenated convolutional code (PCCC). We thus derived its respective iterative MAP algorithm for time-varying channel with first-order Gauss-Markov fading, and tested whether or not the receiver can treat the received vector as blockwise independence with 2-bit blocks periodically separated by single parity-check bit from the second component recursive systematic convolutional (RSC) code encoder. Simulation results show that the iterative MAP decoder that is de- rived based on blockwise independence assumption not only performs close to the CSI(channel state information)-aided decoding scheme but is at most 0.9 dB away from the Shannon limit.
Blazquez, Carola A. "Decision-rule algorithm for map-matching in transportation". 2005. http://catalog.hathitrust.org/api/volumes/oclc/71242453.html.
Texto completoLi, Jian-Wen y 李建汶. "Algorithm and Architecture Design for Disparity Map Generation". Thesis, 2014. http://ndltd.ncl.edu.tw/handle/83548893324707976695.
Texto completo國立中興大學
電機工程學系所
102
In recent years, automobile electronics becomes a popular topic. The main reason is that we hope driving can be safer and more convenient for drivers. There are two parts of automobile electronics, including inside and outside parts. The inside part for example: fatigue detection and road information. On the other hand, outside part contains lane departure warning, collision avoidance and so on…. This thesis focuses on the front end of collision avoidance which estimates the distance between object and camera on the car. Our system is designed to avoid the collision against object which includes horizontal displacement. Therefore, the target of the front end of system is to find out the position and movement of these objects. First, we use SOBEL edge detection to find out the edges as our features because the collision occurs on these vertical edges. Another reason is the disparity of these vertical edges is more reliable when we generate disparity map. Then we use pyramid scale image to match the point from left view and right view. It can save a lot of computational time by reducing the window size and search range simultaneously. Finally, we check if the disparity map of left view and the disparity of right view are the same. After this step we can get a more reliable disparity map. When disparity map is done, we can directly get the distance between object and camera with the disparity value and the parameter of camera. However, there are some differences in real situation so that we must correct the formulation by an experiment. Because of the long processing time by software, we design VLSI architecture to perform block matching which takes the most time to compute disparity map. The search range and window size of the block matching is 64 and 13x13, respectively, so we design 64 processing units which can be divided into 5 groups. Therefore, hardware can perform block matching for full search at the same time. The spec for block matching circuit is 30 frames per second, 1080P resolution and operating frequency at 62.21MHz. And we implement the chip using TSMC 90nm.
HSIEH, CHI-HSUAN y 謝奇軒. "Positioning Algorithm for Feature Matching and Map Building". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/21994126906377550985.
Texto completo銘傳大學
電腦與通訊工程學系碩士班
105
In recent years, the evolution of the intelligent mobile robot has been paid more and more attention. The intelligent mobile robots can complete many complicate tasks such as: automatic navigation, path planning, indoor positioning, environmental space rendering and so on. In the indoor environment, because smart mobile robots cannot use the global positioning system for self-positioning, we need to use other indoor positioning technology to perform simultaneous localization and mapping to establish the environmental maps. In this thesis, we propose a feature matching and map overlay positioning algorithm in a robot mobile platform "Seeker". We use the Lidar and Inertia measurement unit (IMU) to obtain environmental information and robot position. With the proposed feature matching algorithm, the robot will use the mobile information to map the map and use the mobile information for autonomous positioning and correction after each feature matching. And finally we achieve the same time to establish the characteristics of the environment map and the goal of self-positioning Finally, the experimental results show the feature area is 19.65mm from the center point and the matching ratio of the characteristic object is 100%. The robots can estimate the location of each move by using the mobile information estimate obtained through the IMU and effectively merge the maps and retrieve the position of the robot. The experimental results show that the method of this study is feasible and effective for building the environment maps and self-positioning.
Harish, D. "Reeb Graphs : Computation, Visualization and Applications". Thesis, 2012. http://hdl.handle.net/2005/3173.
Texto completoHuang, Ming-Jen y 黃銘仁. "Study of MAP Selection Algorithm in Hierarchical Mobile IPv6". Thesis, 2005. http://ndltd.ncl.edu.tw/handle/81622359946268733512.
Texto completo國立中央大學
通訊工程研究所
93
The Mobile IPv4 and Mobile IPv6 were proposed by IETF as the main protocols for supporting IP mobility. Because of some shortcomings of Mobile IPv6, Hierarchical Mobile IPv6 (HMIPv6) has been proposed to minimize the signaling overhead and handover latency by deploying Mobility Anchor Point (MAP) in the network. In this thesis, we proposed a MAP selection algorithm in a network with tree-based hierarchy. Mobile Node (MN) can select an appropriate MAP to register according to its mobility pattern. And we introduce the concept of abstract MAP, it can effectively reduce the frequency of Inter-domain handoff and then to minimize the signaling overhead and handover latency. Additionally, we introduce the load balance mechanism in the abstract MAP to avoid the overload in some MAP. Finally, the performance of the proposed scheme is evaluated through simulation experiments. The simulation results show that our scheme can minimize the handover latency and the load of each MAP node can be more balance. It also shows that the amount of MNs in the network and the mobility pattern of all MNs shall be carefully considered for the achievement of a suitable abstract MAP.
Wu, Ming-Hsien y 吳明憲. "Algorithm Design for Trajectory-based Dynamic Boundary Map Labeling". Thesis, 2019. http://ndltd.ncl.edu.tw/handle/38h2s7.
Texto completo國立臺灣大學
電機工程學研究所
107
Traditional map labeling focuses on static maps. As dynamic maps allow the user to move or rotate the map, traditional map labeling algorithms cannot easily be extended to dynamic maps. In this thesis, we consider the design of algorithms for trajectory-based dynamic boundary labelling. The goal is to find an automatic method to label the points along a given trajectory of a map in the framework of boundary labeling. Given a trajectory and a set of points, the design is to connect points to non-overlapping labels on one side of the boundary of the map. In this thesis, we design an Integer Linear Programming (ILP) formulation, which allows sliding ports as opposed to fixed ports assumed in much of the previous work. To improve the efficiency, heuristic algorithms are also given. Finally, experimental results are used to illustrate the effectiveness of our design.
Chiu, Cheng Wei y 邱政維. "Edge based Depth Map Super Resolution Algorithm and Implementation". Thesis, 2015. http://ndltd.ncl.edu.tw/handle/54102968280276306616.
Texto completo國立暨南國際大學
電機工程學系
103
In recent years, three-dimensional television (3DTV) becomes more popular. The depth map can be reduced resolution to save data transmission in the 3D video coding. However, the depth quality will affect the 3D experience of the viewer. To improve the quality of the depth map, high resolution depth map reconstruction is the important issue in 3D synthesis by Depth Image Based Rendering (DIBR)[1]. A single high resolution (HR) depth map reconstruction techniques could be classified into two categories in terms of single low resolution (LR) depth map upsampling and multiple low resolution depth maps upsampling. Single image reconstruction algorithm uses less executing time to reconstruct high resolution image than multiple images reconstruction algorithm. The other one is multiple images reconstruction algorithm, this method consider the similarity between each image, so the algorithm has a higher quality result than the other algorithm. In this study, the depth map super-resolution algorithm base on the edge-directed reconstruction is proposed for upsampling the depth map. In order to reduce the execution time, the proposed algorithm uses the single low resolution depth information and edge enhancement weighted to reconstruct the high resolution depth map. The proposed algorithm also achieves on FPGA DE3-260.
Liu, Yuan-Cheng y 劉原呈. "A Study of Adaptive Map/Reduce Affinity Propagation Algorithm". Thesis, 2014. http://ndltd.ncl.edu.tw/handle/86737410493918098274.
Texto completo國立臺灣科技大學
資訊工程系
102
The Affinity Propagation (AP) is a clustering algorithm based on the concept of “message passing” between data points. Unlike most clustering algorithms such as k-means, the AP does not require the number of clusters to be determined or estimated before running the algorithm. There are implementation of AP on Hadoop, a distribute cloud environment, called the Map/Reduce Affinity Propagation (MRAP). But the MRAP has a limitation: it is hard to know what value of parameter “preference” can yield an optimal clustering solution. The Adaptive Affinity Propagation Clustering (AAP) algorithm was proposed to overcome this limitation to decide the preference value in AP. In this study, we propose to combine these two methods as the Adaptive Map/Reduce Affinity Propagation (AMRAP), which divides the clustering task to multiple mappers and one reducer in Hadoop, and decides suitable preference values individually for each mapper. In the experiments, we compare the clustering results of the proposed AMRAP with the original MRAP method. The experiment results support that the proposed AMRAP method outperforms the original MRAP method in terms of accuracy, Davies–Bouldin index and Dunn Index. In the experiments, we compare the clustering result of the proposed AMRAP with the MRAP method. The experiment results support that the proposed AMRAP method has good performance at accuracy, Davies–Bouldin index and Dunn Index.
Cho, Shin Yo y 卓鑫佑. "An Adaptive Maximum-Log-MAP Algorithm for Turbo Decoding". Thesis, 2008. http://ndltd.ncl.edu.tw/handle/63523286777551058801.
Texto completo長庚大學
電機工程學研究所
96
ABSTRACT Turbo codes were presented by Berrou Glavieux, and Thitimajshimal [1] in 1993. It was shown that can fulfill performance close to the Shannon limit. Turbo coding has attracted great interest in the last few years because of large coding gains. The soft-in soft-out decoder (SISO) is the most important part of a turbo decoder. The Max-log-MAP algorithm is a good compromise between performance and complexity [20]. Compared to nearly reaches the optimal Log-MAP algorithm is about half more complex than the Max-Log-MAP algorithm owing to the look-up operation required for finding the correction factors which is a Jacobian term. However, it typically suffers a performance degradation of about 0.5 dB [14]. Theoretically, it is necessary to estimate the SNR when using the Log-MAP constituent decoder, and has proven that decoding with the Max-Log-MAP decoder is SNR independent [22]. In 2000, Pyndiah [12] highlighted that the standard deviation of the extrinsic information is very high in the first decoding steps and decreases as we iterate the turbo decoding. To take above fact into account, it was suggested to multiply the extrinsic information at the output of each turbo decoder by a fixed weight. The evolution of the fixed weight with the decoding iteration number i, used to reduce the effect of the extrinsic information in the turbo decoder in the first decoding steps when the bit error rate (BER) is relatively high. It takes a small value in the first decoding steps and increases as the BER tends to zero. In this paper, the adaptive weighting evaluated in [12] depends on the heuristic procedure instead of using the intuitive approach, the extrinsic information at the output of each SISO turbo decoder is adaptive weighted by an efficient scaling scheme that extends the existing sign change ratio stopping criterion [21]. The new adaptive technique counts the number of sign differences in extrinsic information between two consecutive operation of iteration (i–1) and i of turbo decoding, and then adaptively determines the corresponding adaptive weighting for each data block. The experiment shows that it really can not only improve the coding gain of the Max-Log-MAP to Log-MAP algorithm but also lower the decoding delay of turbo decoding process by proposed method.
Jheng, Jian-Jhong y 鄭建忠. "Batch Training Algorithm for Mixed-Type Self-Organizing Map with a Fixed-Sized Map". Thesis, 2016. http://ndltd.ncl.edu.tw/handle/8839j2.
Texto completo國立雲林科技大學
資訊管理系
104
The Kohonen’s Self-Organizing Map (SOM) is a well-known unsupervised learning algorithm in the visualization field. For the Self-Organizing Map (SOM), how to find out useful information or knowledge in real-world data is very important. In recent years, the SOM has had many variants that are improved and extended to the original model. For instance, the Generalized Self-Organizing Map (GenSOM) is able to process categorical data and mixed-type data as well. The Batch Generalized Self-Organizing Map (BatchGSOM) is batch and dynamic growth version of the GenSOM algorithm, which runs faster than the previous algorithms. However, if the real-world data is high-dimensional and has a large amount of data, many of neurons will be dynamically generated during the training process of BatchGSOM. As a result, the training time will increase due to the large amount of calculation. Therefore, in this study we propose a fixed-sized map version of batch, extended SOM so as to improve the performance. Experimental results indicate that the proposed approach outperforms the previous approaches in terms of training efficiency.
Cheng, Wei y 鄭維. "Mental Map Preserving Graph Drawing Using Spring Algorithms". Thesis, 2011. http://ndltd.ncl.edu.tw/handle/53870453632086563405.
Texto completo國立臺灣大學
電機工程學研究所
99
Graph drawing is an important topic in the domain of information visualization. For needs of interaction with a drawing system or data transition presentation, called "dynamic graph drawing", we should consider to add a factor called "mental map preservation" into the current algorithm. In a dynamic drawing problem, if we ignore relations between the new graph and the old one while redrawing the former, but just let the algorithm auto-redraw along with data transition, it''s possible that the layout structure of the new one differs from the old one, and then sways human users'' ease of identification. We can achieve preserving users'' mental map if we can look after both avoidance of structure swaying and need of layout neatness when redrawing the layout from the old graph to the new one. This paper, based on the spring algorithm having a balance between speed and robustness, proposes a view different from former researches, and designs a new mental map preserving algorithm according to that.
Adaixo, Michael Carlos Gonçalves. "Influence map-based pathfinding algorithms in video games". Master's thesis, 2014. http://hdl.handle.net/10400.6/5517.
Texto completoAlgoritmos de pathfinding são usados por agentes inteligentes para resolver o problema do caminho mais curto, desde a àrea jogos de computador até à robótica. Pathfinding é um tipo particular de algoritmos de pesquisa, em que o objectivo é encontrar o caminho mais curto entre dois nós. Um nó é um ponto no espaço onde um agente inteligente consegue navegar. Agentes móveis em mundos físicos e virtuais são uma componente chave para a simulação de comportamento inteligente. Se um agente não for capaz de navegar no ambiente que o rodeia sem colidir com obstáculos, não aparenta ser inteligente. Consequentemente, pathfinding faz parte das tarefas fundamentais de inteligencia artificial em vídeo jogos. Algoritmos de pathfinding funcionam bem com agentes únicos a navegar por um ambiente. Em jogos de estratégia em tempo real (RTS), potential fields (PF) são utilizados para a navegação multi-agente em ambientes amplos e dinâmicos. Pelo contrário, os influence maps não são usados no pathfinding. Influence maps são uma técnica de raciocínio espacial que ajudam agentes inteligentes e jogadores a tomar decisões sobre o decorrer do jogo. Influence maps representam informação de jogo, por exemplo, eventos e distribuição de poder, que são usados para fornecer conhecimento aos agentes na tomada de decisões estratégicas ou táticas. As decisões estratégicas são baseadas em atingir uma meta global, por exemplo, a captura de uma zona do inimigo e ganhar o jogo. Decisões táticas são baseadas em acções pequenas e precisas, por exemplo, em que local instalar uma torre de defesa, ou onde se esconder do inimigo. Esta dissertação foca-se numa nova técnica que consiste em combinar algoritmos de pathfinding com influence maps, afim de alcançar melhores performances a nível de tempo de pesquisa e consumo de memória, assim como obter caminhos visualmente mais suaves.
Ciao-SiangSiao y 蕭喬翔. "Depth Map Enhancement and Hole Filling Algorithm for DIBR System". Thesis, 2012. http://ndltd.ncl.edu.tw/handle/76309129974903476512.
Texto completo國立成功大學
電機工程學系碩博士班
100
This thesis proposes a depth map enhancement and hole filling algorithm that uses temporal reference information to improve the visual quality of synthesized virtual views in a DIBR system. The depth map enhancement algorithm maintains the scaling ratio and depth value consistencies and temporal consistencies in difference time instant to enhance the three-dimensional (3D) effect and reduce the flicker problem. This algorithm estimates the Z-displacement and position in 3D space based on the scaling ratio of an object in order to maintain the consistency of the scaling ratio and the depth value, which cannot be achieved by existing depth map improvement algorithms. Many depth map enhancement algorithms process each frame individually, and therefore, the temporal consistency of the resulting depth map is weak. Some enhancement algorithms include temporal information; however, their ability to reduce temporal inconsistencies is poor, especially when the object is moving. Therefore, this thesis also proposes a motion-compensated IIR depth filter that smoothes the depth value along the moving trajectory of the object and preserves edges to reduce temporal inconsistency. To fill a hole in a synthesized virtual view, the proposed algorithm adds temporal information, which is the uncovered region in a temporal reference frame, to improve visual quality. The results show that the visual quality of the synthesized virtual view is enhanced by the proposed depth map enhancement and hole filling algorithm.
Bo-SyunLi y 李柏勳. "Content-adaptive Depth Map Enhancement Algorithm Based on Motion Distribution". Thesis, 2014. http://ndltd.ncl.edu.tw/handle/kwudd6.
Texto completo國立成功大學
電機工程學系
102
This thesis proposes a motion-based content-adaptive depth map enhancement algorithm to enhance the quality of the depth map and reduce the artifacts in synthesized virtual views. A depth cue is extracted from the motion distribution at one specific moving camera scenario. In the camera horizontal panning scenario, the nearer the distance between the object and the camera, the larger the motion will be, and vice versa. The relative distances between the camera and objects will be obtained from the motion distribution in this scenario. Moreover, the distance between a moving object and the camera should be similar and consistent in either camera-fixed or camera-panning scenarios. Thus, depth values of the moving object should not be intense variant. This thesis also provides the bi-directional motion-compensated infinite impulse response depth low-pass filter to enhance the consistency of depth maps in the temporal domain. The contribution of this thesis uses these depth cues and motion distribution to enhance stability and consistency of depth maps in the spatial-temporal domain. Experimental results show that the synthesized results would be better in both objective and subjective measurement when compared with the synthesized results using original depth maps and related depth map enhancement algorithms.
Chu, Chun-Yen y 朱俊諺. "An improved affinity propagation clustering algorithm for map/reduce environment". Thesis, 2013. http://ndltd.ncl.edu.tw/handle/24211284880547020442.
Texto completo國立臺灣科技大學
資訊工程系
101
The Affinity Propagation (AP) is a clustering algorithm that does not require pre-set K cluster numbers. The AP works through message passing between nodes in the data and is more suitable for the data which is not well known. In this paper, we improve the original AP to Map/Reduce Affinity Propagation (MRAP) implemented in Hadoop, a distribute cloud environment. The architecture of MRAP is divided to multiple mappers and one reducer in Hadoop. With multiple processing nodes, we can make data processing faster and more efficient. In the experiments, we compare the clustering result of the proposed MRAP with the K-means method. The experiment results support that the proposed MRAP method has good performance in terms of accuracy and Davies–Bouldin index value. Also, by applying the proposed MRAP method can reduce the number of iterations before convergence for the K-means method irrespective to the data dimensions.
Chen, Heng-Yu y 陳恆裕. "An Efficient Self-Organizing Map Algorithm Based on Reference Point". Thesis, 2006. http://ndltd.ncl.edu.tw/handle/04399477595600384164.
Texto completo國立中興大學
資訊科學系所
94
The self-organizing map (SOM) is an excellent mechanism for data mining. It has been used as a tool for mapping high-dimensional data into a two- (or three-) dimensional feature map. Despite its successes in practical applications, SOM suffers from some drawbacks such as trial-and-error method for searching a neighborhood preserving feature map. In this paper, we present an efficient self-organizing map algorithm to improve the performance of SOM. We use an efficient self-organizing map algorithm based on reference point and two threshold values .We use a threshold value as the search boundary which is used to search for the Best-Matching Unit (BMU) via input vector. Another threshold value is used as the search boundary in which the BMU finds its neighbors. Moreover, we propose a new method to lower the number of computations required when the Efficient Initialization Scheme for the Self-organizing Feature Map Algorithm is applied. The method reduce the time complexity form O(n2) to O(n) in the steps of finding the initial neurons. We ran our algorithm based on the data set from Yeast database and UCI KDD Archive to illustrate the performance improvement of the proposed method. In the experiment, the execution time of the original SOM algorithm is cut in half in our scheme. At the same time, the sum of squared-error distance in our scheme is also smaller than that of SOM. After achieving improvement of time complexity, this method is good enough to apply in the first-layer algorithm of the TWO LEVEL Based SOM.
"Soft self-organizing map". Chinese University of Hong Kong, 1995. http://library.cuhk.edu.hk/record=b5888572.
Texto completoThesis (M.Phil.)--Chinese University of Hong Kong, 1995.
Includes bibliographical references (leaves 99-104).
Chapter 1 --- Introduction --- p.1
Chapter 1.1 --- Motivation --- p.1
Chapter 1.2 --- Idea of SSOM --- p.3
Chapter 1.3 --- Other Approaches --- p.3
Chapter 1.4 --- Contribution of the Thesis --- p.4
Chapter 1.5 --- Outline of Thesis --- p.5
Chapter 2 --- Self-Organizing Map --- p.7
Chapter 2.1 --- Introduction --- p.7
Chapter 2.2 --- Algorithm of SOM --- p.8
Chapter 2.3 --- Illustrative Example --- p.10
Chapter 2.4 --- Property of SOM --- p.14
Chapter 2.4.1 --- Convergence property --- p.14
Chapter 2.4.2 --- Topological Order --- p.15
Chapter 2.4.3 --- Objective Function of SOM --- p.15
Chapter 2.5 --- Conclusion --- p.17
Chapter 3 --- Algorithms for Soft Self-Organizing Map --- p.18
Chapter 3.1 --- Competitive Learning and Soft Competitive Learning --- p.19
Chapter 3.2 --- How does SOM generate ordered map? --- p.21
Chapter 3.3 --- Algorithms of Soft SOM --- p.23
Chapter 3.4 --- Simulation Results --- p.25
Chapter 3.4.1 --- One dimensional map under uniform distribution --- p.25
Chapter 3.4.2 --- One dimensional map under Gaussian distribution --- p.27
Chapter 3.4.3 --- Two dimensional map in a unit square --- p.28
Chapter 3.5 --- Conclusion --- p.30
Chapter 4 --- Application to Uncover Vowel Relationship --- p.31
Chapter 4.1 --- Experiment Set Up --- p.32
Chapter 4.1.1 --- Network structure --- p.32
Chapter 4.1.2 --- Training procedure --- p.32
Chapter 4.1.3 --- Relationship Construction Scheme --- p.34
Chapter 4.2 --- Results --- p.34
Chapter 4.2.1 --- Hidden-unit labeling for SSOM2 --- p.34
Chapter 4.2.2 --- Hidden-unit labeling for SOM --- p.35
Chapter 4.3 --- Conclusion --- p.37
Chapter 5 --- Application to vowel data transmission --- p.42
Chapter 5.1 --- Introduction --- p.42
Chapter 5.2 --- Simulation --- p.45
Chapter 5.2.1 --- Setup --- p.45
Chapter 5.2.2 --- Noise model and demodulation scheme --- p.46
Chapter 5.2.3 --- Performance index --- p.46
Chapter 5.2.4 --- Control experiment: random coding scheme --- p.46
Chapter 5.3 --- Results --- p.47
Chapter 5.3.1 --- Null channel noise (σ = 0) --- p.47
Chapter 5.3.2 --- Small channel noise (0 ≤ σ ≤1) --- p.49
Chapter 5.3.3 --- Large channel noise (1 ≤σ ≤7) --- p.49
Chapter 5.3.4 --- Very large channel noise (σ > 7) --- p.49
Chapter 5.4 --- Conclusion --- p.50
Chapter 6 --- Convergence Analysis --- p.53
Chapter 6.1 --- Kushner and Clark Lemma --- p.53
Chapter 6.2 --- Condition for the Convergence of Jou's Algorithm --- p.54
Chapter 6.3 --- Alternative Proof on the Convergence of Competitive Learning --- p.56
Chapter 6.4 --- Convergence of Soft SOM --- p.58
Chapter 6.5 --- Convergence of SOM --- p.60
Chapter 7 --- Conclusion --- p.61
Chapter 7.1 --- Limitations of SSOM --- p.62
Chapter 7.2 --- Further Research --- p.63
Chapter A --- Proof of Corollary1 --- p.65
Chapter A.l --- Mean Average Update --- p.66
Chapter A.2 --- Case 1: Uniform Distribution --- p.68
Chapter A.3 --- Case 2: Logconcave Distribution --- p.70
Chapter A.4 --- Case 3: Loglinear Distribution --- p.72
Chapter B --- Different Senses of neighborhood --- p.79
Chapter B.l --- Static neighborhood: Kohonen's sense --- p.79
Chapter B.2 --- Dynamic neighborhood --- p.80
Chapter B.2.1 --- Mou-Yeung Definition --- p.80
Chapter B.2.2 --- Martinetz et al. Definition --- p.81
Chapter B.2.3 --- Tsao-Bezdek-Pal Definition --- p.81
Chapter B.3 --- Example --- p.82
Chapter B.4 --- Discussion --- p.84
Chapter C --- Supplementary to Chapter4 --- p.86
Chapter D --- Quadrature Amplitude Modulation --- p.92
Chapter D.l --- Amplitude Modulation --- p.92
Chapter D.2 --- QAM --- p.93
Bibliography --- p.99