... Prokhorov (Ed.) ComputationalIntelligenceinAutomotiveApplications Studies in Computational Intelligence, Volume 132 Editor -in- chief Prof. Janusz Kacprzyk Systems Research Institute Polish Academy ... Cover design: Deblik, Berlin, Germany Printed on acid-free paper 987654321 springer.com Computational Intelligence in Automotive Applications Preface What is computational intelligence (CI)? Traditionally, ... the in- cylinder air mass in which open loop neural estimators are combined with a dynamic polytopic observer, and (2) modeling an in- cylinder residual gas fraction by a linear programming support
Ngày tải lên: 21/06/2014, 22:20
... International Driving Symposium on Human Factors in Driver Assessment, Training... machine learning The final K Torkkola et al.: Understanding Driving Activity Using Ensemble Methods, Studies in Computational ... originality lies in not yielding a single partition, but a hierarchy including partitions with various resolution levels based on automatic clustering data. Analyzing the fuzzy partitions obtained ... indicate increased sleepiness, as can be observed. The nodding is the last fatigue effect to appear. In the two fatigue intervals a nodding occurs after the increase of the other parameters, indicating
Ngày tải lên: 07/08/2014, 09:23
Computational Intelligence in Automotive Applications Episode 2 Part 2 ppt
... important and challenging problem. 1 Introduction Automotive industry is facing increased challenges of producing affordable vehicles with increased electri- cal/electronic components in vehicles to ... s (k))∆t. (7) By incorporating E s (k), the current energy storage in the battery, into λ dynamically, we are able to avoid draining or overcharging the battery during the driving cycle. The dynamically ... driving implies moderate acceleration and braking Aggressive driving implies sudden acceleration and heavy braking Acceleration criteria for... driving cycle in a training data set is divided into
Ngày tải lên: 07/08/2014, 09:23
Computational Intelligence in Automotive Applications Episode 2 Part 3 ppsx
... system by inte- grating the individual diagnostic elements of design for testability, on-board diagnostics, automatic testing, manual troubleshooting, training, maintenance aiding, technical information, ... using a realistic engine model in CRAMAS, and are injected via the GUI in CRAMAS host PC. Faults F6–F9 injected through the CRAMAS include: [...]... The dashed bold line represents the remaining ... can be manually injected in the prototype AIS. The leakage fault is injected by adjusting the hole size in the pipe, while the dirty air filter fault is injected by blocking the opening of the pipe
Ngày tải lên: 07/08/2014, 09:23
Computational Intelligence in Automotive Applications Episode 2 Part 4 pptx
... linear transfer function Matrix W2 defines a linear combiner and remains constant while the elements of W1 change during the training process The weights of the winning neuron (a row of the input ... [3]. An Integrated Diagnostic Process for Automotive Systems 211 Classification using error correcting output codes (ECOC) Support vector machines (SVM) Offline Training data Testing data ... using error correcting output codes (ECOC) Support vector machines (SVM) OfflineOffline Training data Testing data Multi-way partial least squares (MPLS) (Data reduction) Data Preprocessing
Ngày tải lên: 07/08/2014, 09:23
Computational Intelligence in Automotive Applications Episode 2 Part 5 pdf
... Path Intersecting Lanes Merging Lanes Non-Intersect Lanes 24 9 Right Turn at 3-way Intersection Fig 10 A Lane Intersection Template for a 3-way intersection describes the type of intersecting interactions ... Point 7 and ends at Map Point 1 heading in a direction straight through the intersection at Map Point 1 towards Map Point... GoAt_Speed,Acc,Dir(Fwd/Rev) InitializeSubsystems PrepForStarting ... TurnLeftUsingExitRamp TurnLeftUsingFork TurnLeftUsingRightWithUTurn TurnLeftUsingUWithRightTurn TurnRightAtIntersection TurnRightUsingExitRamp TurnRightUsingFork... are within the immediate vicinity
Ngày tải lên: 07/08/2014, 09:23
Computational Intelligence in Automotive Applications Episode 2 Part 6 doc
... conservative), and intent (stopping at intersection, turning right, asserting right-of-way, following- motion-vector, moving-randomly, etc.). Additionally, this module’s world model contains road and intersection ... the beginning of its cycle, reads its inputs, does some planning, writes its outputs and starts the cycle again. Processes communicate using the Neutral Message Language (NML) in a non-blocking ... second kind of learning is learning by experience: observing what actually happens when the vehicle traverses different kinds of terrain. The vehicle itself occupies a region of space that maps into
Ngày tải lên: 07/08/2014, 09:23
Security in Automotive Applications
... Industrial & Automotive, 150nm 190µA/MHz, 0.3µA standby Industrial, 90nm 242µA/MHz, 0.2µA standby Automotive & Industrial, 90nm 600µA/MHz, 1.5µA standby Automotive & Industrial, ... Industrial & Automotive, 150nm 190µA/MHz, 0.3µA standby Industrial, 90nm 242µA/MHz, 0.2µA standby Automotive & Industrial, 90nm 600µA/MHz, 1.5µA standby Automotive & Industrial, ... America Inc All rights reserved Security in Automotive: Picturing the Trend 27 © 2012 Renesas Electronics America Inc All rights... rights reserved Security- enabled Automotive MCU Master in
Ngày tải lên: 22/06/2015, 14:19
Fault tolerant control of non sinusoidal multiphase permanent magnet synchronous machine drives under constraints on current and voltage for automotive applications
... refine fault-tolerant control strategies for non-sinusoidal multiphase PMSM drives that require less constraints on their design In addition, constraints on current and voltage defined by the inverter ... possibilities of stator winding configurations 8 1.1.1.E Electromagnetic pole changing by imposing harmonics of current 8 Opportunities for multiphase drives in automotive applications ... performances of the drives can be refined by using artificial intelligence with a simple type of artificial neural networks named ADALINE (ADAptive LInear NEuron) With self-learning ability, fast
Ngày tải lên: 23/03/2024, 10:33
Creating Applications with Mozilla-Chapter 4. CSS in Mozilla Applications-P1
... already common in HTML web page presentation, to define the skin of XUL application interfaces. 4.1.1. Skins Versus Themes When we say skin in this chapter, we refer to the look of the interface -- ... often in conjunction with interfaces and skins. These words are used interchangeably, although there are some differences in their meaning. A single, overall theme is made up of many skins. The ... Cross-Platform Interface Considerations Often in traditional interface development, you try to make things look and work right on a single platform. Using something like MFC on Windows, for example,
Ngày tải lên: 28/10/2013, 15:15
Creating Applications with Mozilla-Chapter 4. CSS in Mozilla Applications-P2
... The value of -moz- binding is a URL pointing to the section in an XML bindings file where the XBL is defined: new-widget { -moz-binding: Property Description chrome://xfly/bindings/extras.xml#super- ... the content in the element. td {padding- left: .2 5in; } td {padding- left: .012 5in; } margin Defines the space around elements. td {margin-left: .2 5in; } border Defines the border itself; it can control ... skins, these image sheets are found only in the Modern skin They are gradually making their way into the skins; as of this writing, there are three or four image sheets in the Modern skin
Ngày tải lên: 28/10/2013, 15:15
Reverse Engineering in Computer Applications
... named \Windows or \Winnt) and are “Winmine.exe” and “Winmine.ini” We do know that the exe file is the executable (or main program) and the ini file holds the settings Let’s take a close look in ... all with Windows ME API changes are available in three ways: " Windows upgrades (i.e Win 95 to Win 2000) " Windows updates (i.e Win 95 to Win 95b) " Service packs (i.e Win 2000 to Win 2000 sp1) ... (officially) in his Operating System’s user manual, in the section titled “Copying files” Also, he can use a program without paying it in whole 13 Chapter 1: Introduction to Reverse Engineering
Ngày tải lên: 05/11/2013, 20:15
Computational Intelligence in Automotive Applications by Danil Prokhorov_5 pptx
... and Machine Intelligence, pp 918–923, July 2003 31 D.V Prokhorov Neural Networks in Automotive Applications Computational Intelligence in Automotive Applications, Studies in Computational Intelligence, ... Models in the Automotive Industry, Studies in Computational Intelligence (SCI) 132, 79–88 (2008) c Springer-Verlag Berlin Heidelberg 2008 www.springerlink.com 80 M Steinbrecher et al underlying ... scheme for forming a strong classifier using a linear combination of a number of weak classifiers based on individual features [36, 37] Every weak classifier is individually trained on a single feature...
Ngày tải lên: 21/06/2014, 22:20
Computational Intelligence in Automotive Applications by Danil Prokhorov_6 pptx
... Madsen Predicting Parts Demand in the Automotive Industry – An Application of Probabilistic Graphical Models In Proceedings of International Joint Conference on Uncertainty in Artificial Intelligence ... group of intelligent methods is concerned with discovering interesting information in large data sets This discipline is generally referred to as Knowledge Discovery or Data Mining In the automotive ... 0.83 Tool in (2,4) and location in (left) Shaft in (2) and location in (right) Tool in (2,3) and shaft in (2) Tool in (1,4) and location in (right) Tool in (4) Tool not in (4) and shaft in (2) Tool...
Ngày tải lên: 21/06/2014, 22:20
Computational Intelligence in Automotive Applications by Danil Prokhorov_7 pot
... with off-line training which assumes that the plant (its model in this case) can be reset to any specified state at any time On-line training can be done in a straightforward way by maintaining two ... “Toward effective combination of off-line and on-line training in ADP framework,” in Proceedings of the 2007 IEEE Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL), Symposium ... based on a gradient obtained for every instance in the training set, hence the term instantaneous gradient In batch mode, the index i is no longer applicable to individual instances, and it becomes...
Ngày tải lên: 21/06/2014, 22:20
Computational Intelligence in Automotive Applications by Danil Prokhorov_10 ppt
... Es (k))∆t (7) By incorporating Es (k), the current energy storage in the battery, into λ dynamically, we are able to avoid draining or overcharging the battery during the driving cycle The dynamically ... using the driving cycles described in the SAE J1711 standard The operating points of the engine, EM, and battery were either close to the optimal curve or in the optimal range [46] 3.2 An Intelligent ... controller T line1 is the function representing the threshold shown in Fig 7a, and T line2 is the function representing the threshold shown in Fig 7b Lin et al used the Urban Dynamometer Driving Schedule...
Ngày tải lên: 21/06/2014, 22:20
Computational Intelligence in Automotive Applications by Danil Prokhorov_11 doc
... system by integrating the individual diagnostic elements of design for testability, on-board diagnostics, automatic testing, manual troubleshooting, training, maintenance aiding, technical information, ... modeled using a realistic engine model in CRAMAS, and are injected via the GUI in CRAMAS host PC Faults F6–F9 injected through the CRAMAS include: An Integrated Diagnostic Process for Automotive ... can be manually injected in the prototype AIS The leakage fault is injected by adjusting the hole size in the pipe, while the dirty air filter fault is injected by blocking the opening of the pipe...
Ngày tải lên: 21/06/2014, 22:20
Computational Intelligence in Automotive Applications by Danil Prokhorov_12 doc
... the automotive industry to increasingly use zinc coated steel in auto body construction One of the major concerns associated with welding coated steel is the mushrooming effect (the increase in ... Manufacturing: Intelligent Resistance Welding, Studies in Computational Intelligence (SCI) 132, 219–235 (2008) c Springer-Verlag Berlin Heidelberg 2008 www.springerlink.com 220 M El-Banna et al causing ... architecture during training The weighted voting follows the optimum voting rules for binary classifiers [44] (3) Dynamic fusion: Dynamic fusion architecture, combining ECOC and dynamic inference algorithm...
Ngày tải lên: 21/06/2014, 22:20
Computational Intelligence in Automotive Applications by Danil Prokhorov_14 ppt
... conservative), and intent (stopping at intersection, turning right, asserting right-of-way, followingmotion-vector, moving-randomly, etc.) Additionally, this module’s world model contains road and intersection ... the beginning of its cycle, reads its inputs, does some planning, writes its outputs and starts the cycle again Processes communicate using the Neutral Message Language (NML) in a non-blocking mode, ... horizon is the line determined by the points where the line of sight of the cameras stops intersecting the ground plane Once the algorithm is running, the algorithm randomly samples pixels in the current...
Ngày tải lên: 21/06/2014, 22:20
Computational Intelligence in Automotive Applications pot
... date [19] Machine learning has found increasing applicability in fields as varied as banking, medicine, marketing, condition monitoring, computer vision, and robotics [20] Machine learning technology ... feature vectors) = Test = Train Segmentlevel training Subjectlevel training Fig Allocation of time windows or segments to training and testing sets for two training objectives Table The test ... can be increased by using more training data AdaBoost has been validated in a large number of classification applications See5 incorporates AdaBoost as a training option We utilized boosting with...
Ngày tải lên: 27/06/2014, 17:20