Torpedo Trajectory Visual Simulation Based on Nonlinear Backstepping Control

Size: px
Start display at page:

Download "Torpedo Trajectory Visual Simulation Based on Nonlinear Backstepping Control"

Transcription

1 orpedo rajetory Visual Simulation Based on Nonlinear Bakstepping Control Peng Hai-jun 1, Li Hui-zhou Chen Ye 1, 1. Depart. of Weaponry Eng, Naval Univ. of Engineering, Wuhan 400, China. Depart. of Aeronautial Armament Fire Control, Naval Aeronautial Eng. Institute Qingdao Branh, Qingdao 66041, China. College of Eletroni Eng, Naval Univ. of Engineering, Wuhan 400, China Abstrat: orpedo trajetory visual simulation has great importane on produt exploitation and war field use. It s a diffiult task beause it ontains different speialties and has a omplex struture. By use of the flexible and effiient Visual C++6.0 and the speialized visual simulation platform Vega, a torpedo trajetory visual simulation system is established. Nonlinear bakstepping ontrol strategy is validated on the system. System mainframe and trajetory models are realized in VC. Senario simulation is realized in Vega. It s shown that this simulation system is favourable. It is helpful in the design and analysis of olletivity, ontrol system and homing system of torpedo. Key word: visual simulation torpedo trajetory three dimension model bakstepping ontrol 1 Introdution 1 Visual simulation is the fruit of the ombination of digital simulation and graphi display tehnology. Information from digital simulation is presented before researhers in the form of graphis and video. Its user interfae (UI) is onveniene. Its real-time three dimension (D) display tehnology is widely used in virtual training and virtual reality. In the proess of weapon system design and validation, it is not eonomial to test too muh times. he data ahieved are not enough to evaluate the weapon system ompletely and orretly. By means of simulation, we an analysis and optimize the digital model of torpedo. It s helpful to develop high quality torpedo at low ost in a relatively short term. Visual simulation an show the movement of weapon intuitively and vividly, and is onvenient for real-time mutual operation. It s shown great importane on weapon system design and validation, weapon platform development [1]. MALAB is brief for programming and graphi display, but it is ineffiient in alulation and not ompatible with senario display platform []. OpenGL graphi library is widely used for visual appliation. Although it is versatile and ready for transplanting, the programming are ompliated and ineffiient []. By ombination of the effiient programming platform, 1 Foundation Item: he National Natural Siene Foundation of China ( ) VC++6.0, and the speialized visual simulation platform, Multigen Vega, a torpedo trajetory visual simulation system is realized. On this system, nonlinear bakstepping ontrol strategy of torpedo depth trajetory is simulated and validated. his system an be used for design of torpedo trajetory, ontrol strategy and homing rules. he system is realized on PC with PIV.0G CPU, i400 video ard. Funtion of system Digital simulation of torpedo motion and ontrol strategy is arried out on the simulation system. At the same time, virtual senario is presented to researhers. Funtions of the simulation system are listed as bellow: (1) Calulation of torpedo trajetory. Data from alulation are used for real-time visual display. At the same time, these data are stored to hard disk for analysis and proessing. () Integrating with D models of torpedo and terrain, virtual senario is onstruted on visual simulation platform Vega. he movement of torpedo will demonstrate in the virtual senario. () Based on data from alulation, D movement of torpedo was presented before researhers. he mode of presentation, suh as the distane and the diretion of observation, an be ontrolled by user. (4) A favorable human-omputer interfae is established. he proess of simulation an be ontrolled SiRes.

2 through the interfae, suh as starting, suspending and terminating the simulation. Before the start of simulation, parameters of torpedo, target and environment are set in parameter dialog boxes. In the progress of simulation, researhers an inspet data through diagrams. Struture of system he simulation system is realized with VC++6.0 and Multigen Vega. VC++6.0 is an objet-oriented visual program development environment whih originated from C. It inherits the merits of high effiieny, flexibility and good ompatibility from C. Its visual integrated development environment is effiient and powerful. So it is often used for programming of ompliated software system espeially those with heavy alulation and ompliated struture [4]. he framework of the system is realized with VC Vega is a high performane software environment and toolkit for real-time simulation and virtual reality appliations. It onsists of a graphial user interfae (GUI) alled LynX, Vega libraries, C allable funtions and other tools [5]. Vega funtionality an be extended by additional speial purpose modules onveniently. MultiGen Creator produes realisti D models and terrain for use in real-time appliations. he torpedo and terrain D models are reated with Creator and imported into Vega [6]. he alulation is heavy and in real-time. In order not to affet the response speed of the interfae, the alulation is arried out in a single thread. Data from alulation are stored in publi memory to be used by Vega. here are three modules in the simulation system: (1) Main interfae module. It manages the whole simulation system, suh as setting parameters, ontrolling the progress of simulation, display graphis of motion status data. () rajetory alulation module. Aording to parameters from interfae, rules of motion, ontrol strategy, it alulates status data of torpedo. () Visual presentation module. It imports D models of torpedo and terrain and reates the environment whih the torpedo sails in. Aording to torpedo status data, it demonstrates the movement of torpedo. he struture of system is shown as figure 1: torpedo trajetory visual simulation system main interfae trajetory alulation data visual presentation data ontrol ontrol of simulation parameters input graphis dispaly parameters ontrol D models of torpedo and terrain Figure 1 Struture of torpedo trajetory visual simulation system 4 Key tehnologies 4.1 Mathemati model of torpedo motion he mathemati model mainly ontains kinematial equations and dynamial equations. Dynamial equations desribe the dynami relationship between position, attitude of torpedo and veloity, angular speed of torpedo. Kinematial equations desribe the dynami relationship between veloity, angular speed of torpedo and outside fores, outside moments. By ombining kinematial equations, dynamial equations and algebrai equations, we an get a group of equations with 15 motion status variables and rudder variables [7]. his group of equations will be soluble with the supplement of ontrol equations. In ontrol equations, rudder angles are determined by motion status variables aording to ontrol strategy. Given initial values of motion status variables, we an get the only solution. But the group of motion equations desribed above is nonlinear and too ompliated. It is an only be solved by numerial integration. Generally it was divided into horizontal motion and vertial motion. In this artile, the SiRes. 1

3 nonlinear vertial motion model is studied and the new stable zero dynami spae is found. he new input-output dynami spae was transformed into strit feedbak nonlinear form. Using the lifting veloity and pithing angular speed as virtual ontrol variables, bakstepping ontrol strategy is presented [8]. Nonlinear motion model in vertial plane is given in literature[9]: x f ( x) g( x)u (1) where x [ v y] f ( x) [ f 1 f f f4 f5] f k v k sin( k f ) 18 k 1v k v k k 4 sin( ) k 5 os( ) k6 os v f k1v kv k4 sin( k 5 os( ) k 6 os f 4 f 5 vsin g ( x) [0 k 9v k9v 0 0] u e ), denotes input ontrol variable. Meanings and typial values of these symbols an be found in appendix 1 of literature [9]. If there is a stable zero dynami spae, we need only to design ontrol strategy of input-output dynami spae. By this ontrol strategy, we an ontrol the depth of torpedo trajetory stably. It was proved that vertial motion model has a stable zero dynami spae: v k11v k18 () 0 Using depth y, lifting veloity, pithing angular speed as status variables of input-output dynami spae, this nonlinear spae an be transformed into v y standard strit feedbak nonlinear form: y vy v y θφ g θφ gu Where θ () k11 k14 k18 k1 k k4 k5 k6 φ [ v sin v os sin sin sin os os os os os ] 1 k os k k k g v k k [ v v sin( ) θ φ os( ) os ] g k9v he bakstepping ontrol strategy is designed with follow steps: (1) We assume z1 y y. It denotes the error of depth traking. Where y is depth instrution. he Lyapunov funtionv 1 is 1 V 1 z 1 (4) () We define z vy vy, where vy 1z1. denotes the virtual lifting veloity instrution. he v y V Lyapunov funtion is V 1 1 z 1 z (5) z, where () We define. denotes the virtual pithing θφ / g angular speed instrution. he Lyapunov funtion is 1 ( V z1 z z θθ θθ ) (6) (4) hen we an design nonlinear bakstepping ontrol strategy: 1 g u θφ (7) 4. D models of entities and terrain MultiGen Creator is a software pakage designed speifially for the reation of real-time D models for visual simulation. raditional D modeling software pakages emphasize the visual effet, so models take CPU a lot of time to render. hey are not suitable for real-time simulation. Creator is base on OpenFlight data format, whih was designed speifially for real-time visual appliation. OpenFlight has layered data struture and manages data with nodes. hese make real-time rendering an easy work [6]. V SiRes.

4 We reate D model of torpedo following these steps: (1) Geometri size of the torpedo was olleted. () OpenFlight database file is reated. hen unit and root node of the database is set. () Branh nodes are reated below the root node. hese nodes manage ertain parts of torpedo model separately, suh as models of body, fin, rudder and srew. (4) Light soures and materials are attahed to torpedo model, this makes the torpedo more realisti. (5) exture is applied to surfae of model to make the model vivid. rifling details are replaed by texture, so the real-time appliation will run more smoothly and use less memory. At the end, we get the torpedo model shown in figure. he struture of database is show in figure. onverted into DED files, whih an be edited by Creator. Creator has toolkits to do this work. () DED files and default parameters are loaded into Creator. hen you an selet the area your database will over. () In order to save time of proessor, some details of terrain beyond ertain distane will be onealed. Aording to the degree you oneal the details, ritial distanes are speified. (4) Feature data are added to terrain. (5) Seleting algorithm to onvert altitude data to triangle data of terrain. (6) At last, terrain database with feature data is established. D model of terrain is shown in figure 4. Struture of terrain model database is shown in figure 5. Eah bran h node represents a ertain area of terrain. Figure D model of torpedo Figure 4 D model of terrain Figure Struture of torpedo model database Weapon platform and target are modeled in the same way. Just like entity models, terrain is stored as D models. errain models are omposed of polygons too. extures and feature data are added into terrain model. hen it an be put into database and driven by real-time appliation. he proess of modeling sea floor is listed as bellow: (1) Altitude data files in all kinds of format are Figure 5 Struture of terrain model database 4. Integrating Vega with VC mainframe his simulation system is onstruted with the Doument/View mainframe of VC. But the View of mainframe is not derived from lass CView of VC [4]. A new lass zsvegaview is derived from CView, and funtions of Vega are added into zsvegaview. So zsvegaview has all funtions of CView and Vega. he SiRes. 14

5 View of mainframe is derived from zsvegaview. So this mainframe has all funtions of the one provided by VC, and an make use of Vega. It is zsvegaview that integrates Vega and VC. Its funtions are list as bellow: (1) At the beginning of simulation, zsvegaview starts Vega thread. Beause the senario needs to be refreshed ontinually and response to windows messages from users, so the job of Vega is arried out in a single thread. he all-bak of the thread is allbakvegahread ( ). () Attahing the handle of CView s window to Vega system. () Initiating Vega system and setting parameters of Vega. (4) Seleting mode of observation. In this system, the trajetory zone is very big and the torpedo is relatively rather small, so tether mode is seleted. Under this mode, observer will follow the torpedo with a ertain distane and angle. User an hange the distane and angle by mouse. (5) he mode of motion is set to user-defined. So the motion and attitude of torpedo are ompletely deided by real-time input data. (6) Refreshing the senario ontinually. 4.4 Driving the senario with data from trajetory alulation he motion of entity in Vega is managed by motion model. here are several motion models in Vega, suh as spinning model, UFO model and so on. But all these models are rather simple and diffiult to improve. here are not suitable for omplex system [5]. By seleting user-defined model, we an replae it with the mathemati model we are studying. Runge-Kutta method is adopted to solve the nonlinear motion model of torpedo. Data produed are provided to Vega for visual presentation. he approah an be divided into following steps: (1) Calulating motion status of torpedo. he alulation thread is start at the beginning of simulation. Its all-bak is allbakorpedocalhread ( ). Data produed are stored in publi memory to be used by Vega. () Implementing motion model of torpedo. First, a user-defined model is registered in Vega system. hat is, a all-bak allbakorpedomotion ( ) is registered. his all-bak takes harge of the initiating, updating of position and terminating of motion. hen the motion model is attahed to torpedo. () Aording to the proess of simulation, status data of torpedo is passed to torpedo model. Vega uses these data to refresh visual senario. Sene of simulation is shown as figure 6. 5 Result of simulation Figure 6 Sene of simulation Step length of alulation is 0.001s. Initial status is given as xe 0 0, y e0 10m, 0 0, 0 0 /s, vy0 0, v x 0 18m / s. Depth instrution y is set to -5m and -50m. Aording to motion model (Equation 1) and ontrol strategy (Equation 7), we an get urves of depth data of torpedo trajetory, as shown in figure 7. Figure 7 Curves of depth dat a of torpedo trajetory It is seen that the depth of torpedo levels off after 10s and 15s. From the result of simulation, we an find that the SiRes.

6 motion model agrees well with reality and the nonlinear bakstepping ontrol strategy is effetive. 6 Conlusions Based on VC++6.0 and visual simulation environment Vega, torpedo trajetory visual simulation system is realized. Considering the nonlinear property of torpedo vertial motion, nonlinear bakstepping ontrol strategy is presented and validated on this system. In this simulation system, motion status of torpedo is alulated in real time. At the same time virtual senario is presented to user. he simulation system haraterizes the motion and ontrol strategy of torpedo. Using effiient developing platform, the simulation system saves a lot of CPU time, whih is benefiial to extend the system. Supplemented with signal detetion model, homing model, motion model of lunh, this simulation system an be extended into full trajetory simulation system. Methods used in this artile are useful for visual simulation of other weapons and weapon platforms suh as missile, submarine, and so on [10]. Aknowledgements he authors are espeially grateful for the support and enouragement of Dr. Wang De-shi at Naval University of Engineering. Referenes [1] Kang Fen-ju, Yang Hui-zhen, Gao Li-e. ehnology and Appliation of Modern Simulation[M]. Beijing: National Defense Industry Press, 006. [] Chai Lin, Fang Qun. he Simulation of orpedo s Guidane rajetory Based on MALAB / Simulink[J]. Journal of System Simulation, 00, 15(): 1-4 [] Yuan Xu-long, Zhang Yu-wen. he Design and Implementation of Air-Drop orpedo rajetory Visual Simulation System[J]. Siene and ehnology of Vessels. 00, 4(): 4-6 [4] Bek Zaratian. Visual C++6.0 Programmer s Guide[M]. Beijing: National Defense Industry Press, [5] Wang Cheng. Real-ime Visual Simulation with Vega[M]. Huazhong University of Siene and ehnology Press, 005 [6] Meng Xiao-mei. Multigen Creator utorial[m]. Beijing: National Defense Industry Press, 005. [7] Fan Feng-tong. Dynamis of orpedo Voyage[M]. Wuhan: Naval University of Engineering Press, [8] Chen Ye, Wang De-shi. Adaptive Bakstepping Control of Nonlinear orpedo Attitude System[J]. Journal of Naval University of Engineering, 008, 0(4): [9] Xu De-min. Automati Control System of orpedo[m]. Xi an: Northwestern Polytehnial University Press, [10] Qian Xin-fang. Dynamis of Missile Aviation[M]. Beijing: Beijing Institute of ehnology Press, SiRes. 16

Smooth Trajectory Planning Along Bezier Curve for Mobile Robots with Velocity Constraints

Smooth Trajectory Planning Along Bezier Curve for Mobile Robots with Velocity Constraints Smooth Trajetory Planning Along Bezier Curve for Mobile Robots with Veloity Constraints Gil Jin Yang and Byoung Wook Choi Department of Eletrial and Information Engineering Seoul National University of

More information

Plot-to-track correlation in A-SMGCS using the target images from a Surface Movement Radar

Plot-to-track correlation in A-SMGCS using the target images from a Surface Movement Radar Plot-to-trak orrelation in A-SMGCS using the target images from a Surfae Movement Radar G. Golino Radar & ehnology Division AMS, Italy ggolino@amsjv.it Abstrat he main topi of this paper is the formulation

More information

Outline: Software Design

Outline: Software Design Outline: Software Design. Goals History of software design ideas Design priniples Design methods Life belt or leg iron? (Budgen) Copyright Nany Leveson, Sept. 1999 A Little History... At first, struggling

More information

Analysis and verification of multi-rotors attitude control algorithms in. Pixhawk. Fangzhen Lin 1, a

Analysis and verification of multi-rotors attitude control algorithms in. Pixhawk. Fangzhen Lin 1, a 6th International Conferene on Advaned Design and Manufaturing Engineering (ICADME 2016) Analysis and verifiation of multi-rotors attitude ontrol algorithms in Pixhawk Fangzhen Lin 1, a 1 Beihang University,

More information

Dynamic System Identification and Validation of a Quadrotor UAV

Dynamic System Identification and Validation of a Quadrotor UAV Dynami System Identifiation and Validation of a Quadrotor UAV Min Goo Yoo PG Student, Department of Aerospae Engineering, Sejong University, Seoul, Republi of Korea E-mail: mingooyoo@gmailom Sung Kyung

More information

Measurement of the stereoscopic rangefinder beam angular velocity using the digital image processing method

Measurement of the stereoscopic rangefinder beam angular velocity using the digital image processing method Measurement of the stereosopi rangefinder beam angular veloity using the digital image proessing method ROMAN VÍTEK Department of weapons and ammunition University of defense Kouniova 65, 62 Brno CZECH

More information

Algorithms, Mechanisms and Procedures for the Computer-aided Project Generation System

Algorithms, Mechanisms and Procedures for the Computer-aided Project Generation System Algorithms, Mehanisms and Proedures for the Computer-aided Projet Generation System Anton O. Butko 1*, Aleksandr P. Briukhovetskii 2, Dmitry E. Grigoriev 2# and Konstantin S. Kalashnikov 3 1 Department

More information

Particle Swarm Optimization for the Design of High Diffraction Efficient Holographic Grating

Particle Swarm Optimization for the Design of High Diffraction Efficient Holographic Grating Original Artile Partile Swarm Optimization for the Design of High Diffration Effiient Holographi Grating A.K. Tripathy 1, S.K. Das, M. Sundaray 3 and S.K. Tripathy* 4 1, Department of Computer Siene, Berhampur

More information

timestamp, if silhouette(x, y) 0 0 if silhouette(x, y) = 0, mhi(x, y) = and mhi(x, y) < timestamp - duration mhi(x, y), else

timestamp, if silhouette(x, y) 0 0 if silhouette(x, y) = 0, mhi(x, y) = and mhi(x, y) < timestamp - duration mhi(x, y), else 3rd International Conferene on Multimedia Tehnolog(ICMT 013) An Effiient Moving Target Traking Strateg Based on OpenCV and CAMShift Theor Dongu Li 1 Abstrat Image movement involved bakground movement and

More information

A Novel Validity Index for Determination of the Optimal Number of Clusters

A Novel Validity Index for Determination of the Optimal Number of Clusters IEICE TRANS. INF. & SYST., VOL.E84 D, NO.2 FEBRUARY 2001 281 LETTER A Novel Validity Index for Determination of the Optimal Number of Clusters Do-Jong KIM, Yong-Woon PARK, and Dong-Jo PARK, Nonmembers

More information

The Implementation of RRTs for a Remote-Controlled Mobile Robot

The Implementation of RRTs for a Remote-Controlled Mobile Robot ICCAS5 June -5, KINEX, Gyeonggi-Do, Korea he Implementation of RRs for a Remote-Controlled Mobile Robot Chi-Won Roh*, Woo-Sub Lee **, Sung-Chul Kang *** and Kwang-Won Lee **** * Intelligent Robotis Researh

More information

On - Line Path Delay Fault Testing of Omega MINs M. Bellos 1, E. Kalligeros 1, D. Nikolos 1,2 & H. T. Vergos 1,2

On - Line Path Delay Fault Testing of Omega MINs M. Bellos 1, E. Kalligeros 1, D. Nikolos 1,2 & H. T. Vergos 1,2 On - Line Path Delay Fault Testing of Omega MINs M. Bellos, E. Kalligeros, D. Nikolos,2 & H. T. Vergos,2 Dept. of Computer Engineering and Informatis 2 Computer Tehnology Institute University of Patras,

More information

Trajectory Tracking Control for A Wheeled Mobile Robot Using Fuzzy Logic Controller

Trajectory Tracking Control for A Wheeled Mobile Robot Using Fuzzy Logic Controller Trajetory Traking Control for A Wheeled Mobile Robot Using Fuzzy Logi Controller K N FARESS 1 M T EL HAGRY 1 A A EL KOSY 2 1 Eletronis researh institute, Cairo, Egypt 2 Faulty of Engineering, Cairo University,

More information

Make your process world

Make your process world Automation platforms Modion Quantum Safety System Make your proess world a safer plae You are faing omplex hallenges... Safety is at the heart of your proess In order to maintain and inrease your ompetitiveness,

More information

Calculation of typical running time of a branch-and-bound algorithm for the vertex-cover problem

Calculation of typical running time of a branch-and-bound algorithm for the vertex-cover problem Calulation of typial running time of a branh-and-bound algorithm for the vertex-over problem Joni Pajarinen, Joni.Pajarinen@iki.fi Otober 21, 2007 1 Introdution The vertex-over problem is one of a olletion

More information

System-Level Parallelism and Throughput Optimization in Designing Reconfigurable Computing Applications

System-Level Parallelism and Throughput Optimization in Designing Reconfigurable Computing Applications System-Level Parallelism and hroughput Optimization in Designing Reonfigurable Computing Appliations Esam El-Araby 1, Mohamed aher 1, Kris Gaj 2, arek El-Ghazawi 1, David Caliga 3, and Nikitas Alexandridis

More information

Multi-Piece Mold Design Based on Linear Mixed-Integer Program Toward Guaranteed Optimality

Multi-Piece Mold Design Based on Linear Mixed-Integer Program Toward Guaranteed Optimality INTERNATIONAL CONFERENCE ON MANUFACTURING AUTOMATION (ICMA200) Multi-Piee Mold Design Based on Linear Mixed-Integer Program Toward Guaranteed Optimality Stephen Stoyan, Yong Chen* Epstein Department of

More information

arxiv: v1 [cs.gr] 10 Apr 2015

arxiv: v1 [cs.gr] 10 Apr 2015 REAL-TIME TOOL FOR AFFINE TRANSFORMATIONS OF TWO DIMENSIONAL IFS FRACTALS ELENA HADZIEVA AND MARIJA SHUMINOSKA arxiv:1504.02744v1 s.gr 10 Apr 2015 Abstrat. This work introdues a novel tool for interative,

More information

The Minimum Redundancy Maximum Relevance Approach to Building Sparse Support Vector Machines

The Minimum Redundancy Maximum Relevance Approach to Building Sparse Support Vector Machines The Minimum Redundany Maximum Relevane Approah to Building Sparse Support Vetor Mahines Xiaoxing Yang, Ke Tang, and Xin Yao, Nature Inspired Computation and Appliations Laboratory (NICAL), Shool of Computer

More information

Multiple-Criteria Decision Analysis: A Novel Rank Aggregation Method

Multiple-Criteria Decision Analysis: A Novel Rank Aggregation Method 3537 Multiple-Criteria Deision Analysis: A Novel Rank Aggregation Method Derya Yiltas-Kaplan Department of Computer Engineering, Istanbul University, 34320, Avilar, Istanbul, Turkey Email: dyiltas@ istanbul.edu.tr

More information

Pipelined Multipliers for Reconfigurable Hardware

Pipelined Multipliers for Reconfigurable Hardware Pipelined Multipliers for Reonfigurable Hardware Mithell J. Myjak and José G. Delgado-Frias Shool of Eletrial Engineering and Computer Siene, Washington State University Pullman, WA 99164-2752 USA {mmyjak,

More information

Batch Auditing for Multiclient Data in Multicloud Storage

Batch Auditing for Multiclient Data in Multicloud Storage Advaned Siene and Tehnology Letters, pp.67-73 http://dx.doi.org/0.4257/astl.204.50. Bath Auditing for Multilient Data in Multiloud Storage Zhihua Xia, Xinhui Wang, Xingming Sun, Yafeng Zhu, Peng Ji and

More information

1. Introduction. 2. The Probable Stope Algorithm

1. Introduction. 2. The Probable Stope Algorithm 1. Introdution Optimization in underground mine design has reeived less attention than that in open pit mines. This is mostly due to the diversity o underground mining methods and omplexity o underground

More information

Video Data and Sonar Data: Real World Data Fusion Example

Video Data and Sonar Data: Real World Data Fusion Example 14th International Conferene on Information Fusion Chiago, Illinois, USA, July 5-8, 2011 Video Data and Sonar Data: Real World Data Fusion Example David W. Krout Applied Physis Lab dkrout@apl.washington.edu

More information

What are Cycle-Stealing Systems Good For? A Detailed Performance Model Case Study

What are Cycle-Stealing Systems Good For? A Detailed Performance Model Case Study What are Cyle-Stealing Systems Good For? A Detailed Performane Model Case Study Wayne Kelly and Jiro Sumitomo Queensland University of Tehnology, Australia {w.kelly, j.sumitomo}@qut.edu.au Abstrat The

More information

Optimization of Two-Stage Cylindrical Gear Reducer with Adaptive Boundary Constraints

Optimization of Two-Stage Cylindrical Gear Reducer with Adaptive Boundary Constraints 5 JOURNAL OF SOFTWARE VOL. 8 NO. 8 AUGUST Optimization of Two-Stage Cylindrial Gear Reduer with Adaptive Boundary Constraints Xueyi Li College of Mehanial and Eletroni Engineering Shandong University of

More information

Fuzzy Meta Node Fuzzy Metagraph and its Cluster Analysis

Fuzzy Meta Node Fuzzy Metagraph and its Cluster Analysis Journal of Computer Siene 4 (): 9-97, 008 ISSN 549-3636 008 Siene Publiations Fuzzy Meta Node Fuzzy Metagraph and its Cluster Analysis Deepti Gaur, Aditya Shastri and Ranjit Biswas Department of Computer

More information

KERNEL SPARSE REPRESENTATION WITH LOCAL PATTERNS FOR FACE RECOGNITION

KERNEL SPARSE REPRESENTATION WITH LOCAL PATTERNS FOR FACE RECOGNITION KERNEL SPARSE REPRESENTATION WITH LOCAL PATTERNS FOR FACE RECOGNITION Cuiui Kang 1, Shengai Liao, Shiming Xiang 1, Chunhong Pan 1 1 National Laboratory of Pattern Reognition, Institute of Automation, Chinese

More information

A DYNAMIC ACCESS CONTROL WITH BINARY KEY-PAIR

A DYNAMIC ACCESS CONTROL WITH BINARY KEY-PAIR Malaysian Journal of Computer Siene, Vol 10 No 1, June 1997, pp 36-41 A DYNAMIC ACCESS CONTROL WITH BINARY KEY-PAIR Md Rafiqul Islam, Harihodin Selamat and Mohd Noor Md Sap Faulty of Computer Siene and

More information

FUZZY WATERSHED FOR IMAGE SEGMENTATION

FUZZY WATERSHED FOR IMAGE SEGMENTATION FUZZY WATERSHED FOR IMAGE SEGMENTATION Ramón Moreno, Manuel Graña Computational Intelligene Group, Universidad del País Vaso, Spain http://www.ehu.es/winto; {ramon.moreno,manuel.grana}@ehu.es Abstrat The

More information

An Optimized Approach on Applying Genetic Algorithm to Adaptive Cluster Validity Index

An Optimized Approach on Applying Genetic Algorithm to Adaptive Cluster Validity Index IJCSES International Journal of Computer Sienes and Engineering Systems, ol., No.4, Otober 2007 CSES International 2007 ISSN 0973-4406 253 An Optimized Approah on Applying Geneti Algorithm to Adaptive

More information

Fast Elliptic Curve Algorithm of Embedded Mobile Equipment

Fast Elliptic Curve Algorithm of Embedded Mobile Equipment Send Orders for Reprints to reprints@benthamsiene.net 8 The Open Eletrial & Eletroni Engineering Journal, 0, 7, 8-4 Fast Ellipti Curve Algorithm of Embedded Mobile Equipment Open Aess Lihong Zhang *, Shuqian

More information

COST PERFORMANCE ASPECTS OF CCD FAST AUXILIARY MEMORY

COST PERFORMANCE ASPECTS OF CCD FAST AUXILIARY MEMORY COST PERFORMANCE ASPECTS OF CCD FAST AUXILIARY MEMORY Dileep P, Bhondarkor Texas Instruments Inorporated Dallas, Texas ABSTRACT Charge oupled devies (CCD's) hove been mentioned as potential fast auxiliary

More information

特集 Road Border Recognition Using FIR Images and LIDAR Signal Processing

特集 Road Border Recognition Using FIR Images and LIDAR Signal Processing デンソーテクニカルレビュー Vol. 15 2010 特集 Road Border Reognition Using FIR Images and LIDAR Signal Proessing 高木聖和 バーゼル ファルディ Kiyokazu TAKAGI Basel Fardi ヘンドリック ヴァイゲル Hendrik Weigel ゲルド ヴァニーリック Gerd Wanielik This paper

More information

Chemical, Biological and Radiological Hazard Assessment: A New Model of a Plume in a Complex Urban Environment

Chemical, Biological and Radiological Hazard Assessment: A New Model of a Plume in a Complex Urban Environment hemial, Biologial and Radiologial Haard Assessment: A New Model of a Plume in a omplex Urban Environment Skvortsov, A.T., P.D. Dawson, M.D. Roberts and R.M. Gailis HPP Division, Defene Siene and Tehnology

More information

End mills are widely used in industry for high-speed machining. End milling cutters are C H A P T E R 2

End mills are widely used in industry for high-speed machining. End milling cutters are C H A P T E R 2 C H A P T E R End Mill End mills are widely used in industry for high-speed mahining. End milling utters are multi-point milling utters with utting edges both on the fae end as well as on the periphery,

More information

Introduction to Seismology Spring 2008

Introduction to Seismology Spring 2008 MIT OpenCourseWare http://ow.mit.edu 1.510 Introdution to Seismology Spring 008 For information about iting these materials or our Terms of Use, visit: http://ow.mit.edu/terms. 1.510 Leture Notes 3.3.007

More information

Pre-Critical incidence

Pre-Critical incidence Seismi methods: Refration I Refration reading: Sharma p58-86 Pre-Critial inidene Refletion and refration Snell s Law: sin i sin R sin r P P P P P P where p is the ray parameter and is onstant along eah

More information

Detection and Recognition of Non-Occluded Objects using Signature Map

Detection and Recognition of Non-Occluded Objects using Signature Map 6th WSEAS International Conferene on CIRCUITS, SYSTEMS, ELECTRONICS,CONTROL & SIGNAL PROCESSING, Cairo, Egypt, De 9-31, 007 65 Detetion and Reognition of Non-Oluded Objets using Signature Map Sangbum Park,

More information

CleanUp: Improving Quadrilateral Finite Element Meshes

CleanUp: Improving Quadrilateral Finite Element Meshes CleanUp: Improving Quadrilateral Finite Element Meshes Paul Kinney MD-10 ECC P.O. Box 203 Ford Motor Company Dearborn, MI. 8121 (313) 28-1228 pkinney@ford.om Abstrat: Unless an all quadrilateral (quad)

More information

Drawing lines. Naïve line drawing algorithm. drawpixel(x, round(y)); double dy = y1 - y0; double dx = x1 - x0; double m = dy / dx; double y = y0;

Drawing lines. Naïve line drawing algorithm. drawpixel(x, round(y)); double dy = y1 - y0; double dx = x1 - x0; double m = dy / dx; double y = y0; Naïve line drawing algorithm // Connet to grid points(x0,y0) and // (x1,y1) by a line. void drawline(int x0, int y0, int x1, int y1) { int x; double dy = y1 - y0; double dx = x1 - x0; double m = dy / dx;

More information

Learning Convention Propagation in BeerAdvocate Reviews from a etwork Perspective. Abstract

Learning Convention Propagation in BeerAdvocate Reviews from a etwork Perspective. Abstract CS 9 Projet Final Report: Learning Convention Propagation in BeerAdvoate Reviews from a etwork Perspetive Abstrat We look at the way onventions propagate between reviews on the BeerAdvoate dataset, and

More information

Australian Journal of Basic and Applied Sciences. A new Divide and Shuffle Based algorithm of Encryption for Text Message

Australian Journal of Basic and Applied Sciences. A new Divide and Shuffle Based algorithm of Encryption for Text Message ISSN:1991-8178 Australian Journal of Basi and Applied Sienes Journal home page: www.ajbasweb.om A new Divide and Shuffle Based algorithm of Enryption for Text Message Dr. S. Muthusundari R.M.D. Engineering

More information

Dr.Hazeem Al-Khafaji Dept. of Computer Science, Thi-Qar University, College of Science, Iraq

Dr.Hazeem Al-Khafaji Dept. of Computer Science, Thi-Qar University, College of Science, Iraq Volume 4 Issue 6 June 014 ISSN: 77 18X International Journal of Advaned Researh in Computer Siene and Software Engineering Researh Paper Available online at: www.ijarsse.om Medial Image Compression using

More information

Unsupervised Stereoscopic Video Object Segmentation Based on Active Contours and Retrainable Neural Networks

Unsupervised Stereoscopic Video Object Segmentation Based on Active Contours and Retrainable Neural Networks Unsupervised Stereosopi Video Objet Segmentation Based on Ative Contours and Retrainable Neural Networks KLIMIS NTALIANIS, ANASTASIOS DOULAMIS, and NIKOLAOS DOULAMIS National Tehnial University of Athens

More information

13.1 Numerical Evaluation of Integrals Over One Dimension

13.1 Numerical Evaluation of Integrals Over One Dimension 13.1 Numerial Evaluation of Integrals Over One Dimension A. Purpose This olletion of subprograms estimates the value of the integral b a f(x) dx where the integrand f(x) and the limits a and b are supplied

More information

Z Combinatorial Filters: Sensor Beams, Obstacles, and Possible Paths

Z Combinatorial Filters: Sensor Beams, Obstacles, and Possible Paths Z Combinatorial Filters: Sensor Beams, Obstales, and Possible Paths BENJAMIN TOVAR, Northwestern University FRED COHEN, University of Rohester LEONARDO BOBADILLA, University of Illinois JUSTIN CZARNOWSKI,

More information

Stable Road Lane Model Based on Clothoids

Stable Road Lane Model Based on Clothoids Stable Road Lane Model Based on Clothoids C Gakstatter*, S Thomas**, Dr P Heinemann*, Prof Gudrun Klinker*** *Audi Eletronis Venture GmbH, **Leibniz Universität Hannover, ***Tehnishe Universität Münhen

More information

- 1 - S 21. Directory-based Administration of Virtual Private Networks: Policy & Configuration. Charles A Kunzinger.

- 1 - S 21. Directory-based Administration of Virtual Private Networks: Policy & Configuration. Charles A Kunzinger. - 1 - S 21 Diretory-based Administration of Virtual Private Networks: Poliy & Configuration Charles A Kunzinger kunzinge@us.ibm.om - 2 - Clik here Agenda to type page title What is a VPN? What is VPN Poliy?

More information

Special Relativistic (Flight-)Simulator

Special Relativistic (Flight-)Simulator Speial Relativisti (Flight-)Simulator Anton Tsoulos and Wolfgang Knopki Abstrat With speial relativisti visualisation it is possible to experiene and simulate relativisti effets whih our when traveling

More information

Contributions to the cinematic and dynamic study of parallel mechanism robots with four degrees of freedom

Contributions to the cinematic and dynamic study of parallel mechanism robots with four degrees of freedom Equation Chapter Setion Forgó Zoltán, eng. hd. andidate Contributions to the inemati and dynami study of parallel mehanism robots with four degrees of freedom Abstrat of hd hesis Sientifi oordinator: Niolae

More information

Contents Contents...I List of Tables...VIII List of Figures...IX 1. Introduction Information Retrieval... 8

Contents Contents...I List of Tables...VIII List of Figures...IX 1. Introduction Information Retrieval... 8 Contents Contents...I List of Tables...VIII List of Figures...IX 1. Introdution... 1 1.1. Internet Information...2 1.2. Internet Information Retrieval...3 1.2.1. Doument Indexing...4 1.2.2. Doument Retrieval...4

More information

The recursive decoupling method for solving tridiagonal linear systems

The recursive decoupling method for solving tridiagonal linear systems Loughborough University Institutional Repository The reursive deoupling method for solving tridiagonal linear systems This item was submitted to Loughborough University's Institutional Repository by the/an

More information

Cross-layer Resource Allocation on Broadband Power Line Based on Novel QoS-priority Scheduling Function in MAC Layer

Cross-layer Resource Allocation on Broadband Power Line Based on Novel QoS-priority Scheduling Function in MAC Layer Communiations and Networ, 2013, 5, 69-73 http://dx.doi.org/10.4236/n.2013.53b2014 Published Online September 2013 (http://www.sirp.org/journal/n) Cross-layer Resoure Alloation on Broadband Power Line Based

More information

A Unified Subdivision Scheme for Polygonal Modeling

A Unified Subdivision Scheme for Polygonal Modeling EUROGRAPHICS 2 / A. Chalmers and T.-M. Rhyne (Guest Editors) Volume 2 (2), Number 3 A Unified Subdivision Sheme for Polygonal Modeling Jérôme Maillot Jos Stam Alias Wavefront Alias Wavefront 2 King St.

More information

A RAY TRACING SIMULATION OF SOUND DIFFRACTION BASED ON ANALYTIC SECONDARY SOURCE MODEL

A RAY TRACING SIMULATION OF SOUND DIFFRACTION BASED ON ANALYTIC SECONDARY SOURCE MODEL 19th European Signal Proessing Conferene (EUSIPCO 211) Barelona, Spain, August 29 - September 2, 211 A RAY TRACING SIMULATION OF SOUND DIFFRACTION BASED ON ANALYTIC SECONDARY SOURCE MODEL Masashi Okada,

More information

We P9 16 Eigenray Tracing in 3D Heterogeneous Media

We P9 16 Eigenray Tracing in 3D Heterogeneous Media We P9 Eigenray Traing in 3D Heterogeneous Media Z. Koren* (Emerson), I. Ravve (Emerson) Summary Conventional two-point ray traing in a general 3D heterogeneous medium is normally performed by a shooting

More information

Evolutionary Feature Synthesis for Image Databases

Evolutionary Feature Synthesis for Image Databases Evolutionary Feature Synthesis for Image Databases Anlei Dong, Bir Bhanu, Yingqiang Lin Center for Researh in Intelligent Systems University of California, Riverside, California 92521, USA {adong, bhanu,

More information

Active Compliant Motion Control for Grinding Robot

Active Compliant Motion Control for Grinding Robot Proeedings of the 17th World Congress The International Federation of Automati Control Ative Compliant Motion Control for Grinding Robot Juyi Park*, Soo Ho Kim* and Sungkwun Kim** *Daewoo Shipbuilding

More information

Gray Codes for Reflectable Languages

Gray Codes for Reflectable Languages Gray Codes for Refletable Languages Yue Li Joe Sawada Marh 8, 2008 Abstrat We lassify a type of language alled a refletable language. We then develop a generi algorithm that an be used to list all strings

More information

Extracting Partition Statistics from Semistructured Data

Extracting Partition Statistics from Semistructured Data Extrating Partition Statistis from Semistrutured Data John N. Wilson Rihard Gourlay Robert Japp Mathias Neumüller Department of Computer and Information Sienes University of Strathlyde, Glasgow, UK {jnw,rsg,rpj,mathias}@is.strath.a.uk

More information

Plumber: a method for a multi-scale decomposition of 3D shapes into tubular primitives and bodies

Plumber: a method for a multi-scale decomposition of 3D shapes into tubular primitives and bodies ACM Symposium on Solid Modeling and Appliations (2004) P. Brunet, N. Patrikalakis (Editors) Plumber: a method for a multi-sale deomposition of 3D shapes into tubular primitives and bodies M. Mortara G.

More information

BENDING STIFFNESS AND DYNAMIC CHARACTERISTICS OF A ROTOR WITH SPLINE JOINTS

BENDING STIFFNESS AND DYNAMIC CHARACTERISTICS OF A ROTOR WITH SPLINE JOINTS Proeedings of ASME 0 International Mehanial Engineering Congress & Exposition IMECE0 November 5-, 0, San Diego, CA IMECE0-6657 BENDING STIFFNESS AND DYNAMIC CHARACTERISTICS OF A ROTOR WITH SPLINE JOINTS

More information

PARAMETRIC SAR IMAGE FORMATION - A PROMISING APPROACH TO RESOLUTION-UNLIMITED IMAGING. Yesheng Gao, Kaizhi Wang, Xingzhao Liu

PARAMETRIC SAR IMAGE FORMATION - A PROMISING APPROACH TO RESOLUTION-UNLIMITED IMAGING. Yesheng Gao, Kaizhi Wang, Xingzhao Liu 20th European Signal Proessing Conferene EUSIPCO 2012) Buharest, Romania, August 27-31, 2012 PARAMETRIC SAR IMAGE FORMATION - A PROMISING APPROACH TO RESOLUTION-UNLIMITED IMAGING Yesheng Gao, Kaizhi Wang,

More information

Exploring the Commonality in Feature Modeling Notations

Exploring the Commonality in Feature Modeling Notations Exploring the Commonality in Feature Modeling Notations Miloslav ŠÍPKA Slovak University of Tehnology Faulty of Informatis and Information Tehnologies Ilkovičova 3, 842 16 Bratislava, Slovakia miloslav.sipka@gmail.om

More information

Fast Rigid Motion Segmentation via Incrementally-Complex Local Models

Fast Rigid Motion Segmentation via Incrementally-Complex Local Models Fast Rigid Motion Segmentation via Inrementally-Complex Loal Models Fernando Flores-Mangas Allan D. Jepson Department of Computer Siene, University of Toronto {mangas,jepson}@s.toronto.edu Abstrat The

More information

Approximate logic synthesis for error tolerant applications

Approximate logic synthesis for error tolerant applications Approximate logi synthesis for error tolerant appliations Doohul Shin and Sandeep K. Gupta Eletrial Engineering Department, University of Southern California, Los Angeles, CA 989 {doohuls, sandeep}@us.edu

More information

Capturing Large Intra-class Variations of Biometric Data by Template Co-updating

Capturing Large Intra-class Variations of Biometric Data by Template Co-updating Capturing Large Intra-lass Variations of Biometri Data by Template Co-updating Ajita Rattani University of Cagliari Piazza d'armi, Cagliari, Italy ajita.rattani@diee.unia.it Gian Lua Marialis University

More information

Transition Detection Using Hilbert Transform and Texture Features

Transition Detection Using Hilbert Transform and Texture Features Amerian Journal of Signal Proessing 1, (): 35-4 DOI: 1.593/.asp.1.6 Transition Detetion Using Hilbert Transform and Texture Features G. G. Lashmi Priya *, S. Domni Department of Computer Appliations, National

More information

Engineering Design of Guidance System of 6R Telerobot based on DTMF

Engineering Design of Guidance System of 6R Telerobot based on DTMF Int J Advaned Design and Manufaturing Tehnolog Vol. 7/ No. 3/ September - 04 7 Engineering Design of Guidane Sstem of R Telerobot based on DTMF M. H. Koraem* Roboti Researh Laborator Center of Exellene

More information

Dubins Path Planning of Multiple UAVs for Tracking Contaminant Cloud

Dubins Path Planning of Multiple UAVs for Tracking Contaminant Cloud Proeedings of the 17th World Congress The International Federation of Automati Control Dubins Path Planning of Multiple UAVs for Traking Contaminant Cloud S. Subhan, B.A. White, A. Tsourdos M. Shanmugavel,

More information

arxiv: v1 [cs.db] 13 Sep 2017

arxiv: v1 [cs.db] 13 Sep 2017 An effiient lustering algorithm from the measure of loal Gaussian distribution Yuan-Yen Tai (Dated: May 27, 2018) In this paper, I will introdue a fast and novel lustering algorithm based on Gaussian distribution

More information

BioTechnology. An Indian Journal FULL PAPER. Trade Science Inc. Improvement of low illumination image enhancement algorithm based on physical mode

BioTechnology. An Indian Journal FULL PAPER. Trade Science Inc. Improvement of low illumination image enhancement algorithm based on physical mode [Type text] [Type text] [Type text] ISSN : 0974-7435 Volume 10 Issue 22 BioTehnology 2014 An Indian Journal FULL PAPER BTAIJ, 10(22), 2014 [13995-14001] Improvement of low illumination image enhanement

More information

Performance of Histogram-Based Skin Colour Segmentation for Arms Detection in Human Motion Analysis Application

Performance of Histogram-Based Skin Colour Segmentation for Arms Detection in Human Motion Analysis Application World Aademy of Siene, Engineering and Tehnology 8 009 Performane of Histogram-Based Skin Colour Segmentation for Arms Detetion in Human Motion Analysis Appliation Rosalyn R. Porle, Ali Chekima, Farrah

More information

Lecture Notes of Möbuis Transformation in Hyperbolic Plane

Lecture Notes of Möbuis Transformation in Hyperbolic Plane Applied Mathematis, 04, 5, 6-5 Published Online August 04 in SiRes http://wwwsirporg/journal/am http://dxdoiorg/0436/am04555 Leture Notes of Möbuis Transformation in Hyperboli Plane Rania B M Amer Department

More information

A scheme for racquet sports video analysis with the combination of audio-visual information

A scheme for racquet sports video analysis with the combination of audio-visual information A sheme for raquet sports video analysis with the ombination of audio-visual information Liyuan Xing a*, Qixiang Ye b, Weigang Zhang, Qingming Huang a and Hua Yu a a Graduate Shool of the Chinese Aadamy

More information

Volume 3, Issue 9, September 2013 International Journal of Advanced Research in Computer Science and Software Engineering

Volume 3, Issue 9, September 2013 International Journal of Advanced Research in Computer Science and Software Engineering Volume 3, Issue 9, September 2013 ISSN: 2277 128X International Journal of Advaned Researh in Computer Siene and Software Engineering Researh Paper Available online at: www.ijarsse.om A New-Fangled Algorithm

More information

Interactive Order-Independent Transparency

Interactive Order-Independent Transparency Interative Order-Independent Transpareny Cass Everitt NVIDIA OpenGL Appliations Engineering ass@nvidia.om (a) (b) Figure. These images illustrate orret (a) and inorret (b) rendering of transparent surfaes.

More information

Performance Improvement of TCP on Wireless Cellular Networks by Adaptive FEC Combined with Explicit Loss Notification

Performance Improvement of TCP on Wireless Cellular Networks by Adaptive FEC Combined with Explicit Loss Notification erformane Improvement of TC on Wireless Cellular Networks by Adaptive Combined with Expliit Loss tifiation Masahiro Miyoshi, Masashi Sugano, Masayuki Murata Department of Infomatis and Mathematial Siene,

More information

Abstract. Key Words: Image Filters, Fuzzy Filters, Order Statistics Filters, Rank Ordered Mean Filters, Channel Noise. 1.

Abstract. Key Words: Image Filters, Fuzzy Filters, Order Statistics Filters, Rank Ordered Mean Filters, Channel Noise. 1. Fuzzy Weighted Rank Ordered Mean (FWROM) Filters for Mixed Noise Suppression from Images S. Meher, G. Panda, B. Majhi 3, M.R. Meher 4,,4 Department of Eletronis and I.E., National Institute of Tehnology,

More information

Analysis of input and output configurations for use in four-valued CCD programmable logic arrays

Analysis of input and output configurations for use in four-valued CCD programmable logic arrays nalysis of input and output onfigurations for use in four-valued D programmable logi arrays J.T. utler H.G. Kerkhoff ndexing terms: Logi, iruit theory and design, harge-oupled devies bstrat: s in binary,

More information

A Coarse-to-Fine Classification Scheme for Facial Expression Recognition

A Coarse-to-Fine Classification Scheme for Facial Expression Recognition A Coarse-to-Fine Classifiation Sheme for Faial Expression Reognition Xiaoyi Feng 1,, Abdenour Hadid 1 and Matti Pietikäinen 1 1 Mahine Vision Group Infoteh Oulu and Dept. of Eletrial and Information Engineering

More information

Define - starting approximation for the parameters (p) - observational data (o) - solution criterion (e.g. number of iterations)

Define - starting approximation for the parameters (p) - observational data (o) - solution criterion (e.g. number of iterations) Global Iterative Solution Distributed proessing of the attitude updating L. Lindegren (21 May 2001) SAG LL 37 Abstrat. The attitude updating algorithm given in GAIA LL 24 (v. 2) is modified to allow distributed

More information

OFF-LINE ROBOT VISION SYSTEM PROGRAMMING USING A COMPUTER AIDED DESIGN SYSTEM S. SRIDARAN. Thesis submitted to the Faculty of the

OFF-LINE ROBOT VISION SYSTEM PROGRAMMING USING A COMPUTER AIDED DESIGN SYSTEM S. SRIDARAN. Thesis submitted to the Faculty of the OFF-LINE ROBOT VISION SYSTEM PROGRAMMING USING A COMPUTER AIDED DESIGN SYSTEM by S. SRIDARAN Thesis submitted to the Faulty of the Virginia Polytehni Institute and State University in partial fulfillment

More information

Detecting Outliers in High-Dimensional Datasets with Mixed Attributes

Detecting Outliers in High-Dimensional Datasets with Mixed Attributes Deteting Outliers in High-Dimensional Datasets with Mixed Attributes A. Koufakou, M. Georgiopoulos, and G.C. Anagnostopoulos 2 Shool of EECS, University of Central Florida, Orlando, FL, USA 2 Dept. of

More information

Data Structures in Java

Data Structures in Java Data Strutures in Java Leture 8: Trees and Tree Traversals. 10/5/2015 Daniel Bauer 1 Trees in Computer Siene A lot of data omes in a hierarhial/nested struture. Mathematial expressions. Program struture.

More information

Electromagnetic Waves

Electromagnetic Waves Eletromagneti Waves Physis 6C Eletromagneti (EM) waves are produed by an alternating urrent in a wire. As the harges in the wire osillate bak and forth, the eletri field around them osillates as well,

More information

Boosted Random Forest

Boosted Random Forest Boosted Random Forest Yohei Mishina, Masamitsu suhiya and Hironobu Fujiyoshi Department of Computer Siene, Chubu University, 1200 Matsumoto-ho, Kasugai, Aihi, Japan {mishi, mtdoll}@vision.s.hubu.a.jp,

More information

UCSB Math TI-85 Tutorials: Basics

UCSB Math TI-85 Tutorials: Basics 3 UCSB Math TI-85 Tutorials: Basis If your alulator sreen doesn t show anything, try adjusting the ontrast aording to the instrutions on page 3, or page I-3, of the alulator manual You should read the

More information

Cisco Collaborative Knowledge

Cisco Collaborative Knowledge Ciso Collaborative Knowledge Ciso on Ciso: How Ciso Servies Upskilled 14,400 Employees and Transformed into a Consultative, Solutions-Selling Organization. It is estimated that by 2020, roughly four out

More information

HEXA: Compact Data Structures for Faster Packet Processing

HEXA: Compact Data Structures for Faster Packet Processing Washington University in St. Louis Washington University Open Sholarship All Computer Siene and Engineering Researh Computer Siene and Engineering Report Number: 27-26 27 HEXA: Compat Data Strutures for

More information

TOWARD HYBRID VARIANT/GENERATIVE PROCESS PLANNING

TOWARD HYBRID VARIANT/GENERATIVE PROCESS PLANNING Proeedings of DETC 97: 1997 ASME Design Engineering Tehnial Conferenes September 14-17,1997, Saramento, California DETC97/DFM-4333 TOWARD HYBRID VARIANT/GENERATIVE PROCESS PLANNING Alexei Elinson Dept.

More information

CONSIDERING the high computational load of synthetic

CONSIDERING the high computational load of synthetic IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 5, NO. 4, OCTOBER 2008 573 Doppler Keystone Transform: An Approah Suitable for Parallel Implementation of SAR Moving Target Imaging Gang Li, Member, IEEE,

More information

Boundary Correct Real-Time Soft Shadows

Boundary Correct Real-Time Soft Shadows Boundary Corret Real-Time Soft Shadows Bjarke Jakobsen Niels J. Christensen Bent D. Larsen Kim S. Petersen Informatis and Mathematial Modelling Tehnial University of Denmark {bj, nj, bdl}@imm.dtu.dk, kim@deadline.dk

More information

Computing Pool: a Simplified and Practical Computational Grid Model

Computing Pool: a Simplified and Practical Computational Grid Model Computing Pool: a Simplified and Pratial Computational Grid Model Peng Liu, Yao Shi, San-li Li Institute of High Performane Computing, Department of Computer Siene and Tehnology, Tsinghua University, Beijing,

More information

Automatic Physical Design Tuning: Workload as a Sequence Sanjay Agrawal Microsoft Research One Microsoft Way Redmond, WA, USA +1-(425)

Automatic Physical Design Tuning: Workload as a Sequence Sanjay Agrawal Microsoft Research One Microsoft Way Redmond, WA, USA +1-(425) Automati Physial Design Tuning: Workload as a Sequene Sanjay Agrawal Mirosoft Researh One Mirosoft Way Redmond, WA, USA +1-(425) 75-357 sagrawal@mirosoft.om Eri Chu * Computer Sienes Department University

More information

Simulation of Crystallographic Texture and Anisotropie of Polycrystals during Metal Forming with Respect to Scaling Aspects

Simulation of Crystallographic Texture and Anisotropie of Polycrystals during Metal Forming with Respect to Scaling Aspects Raabe, Roters, Wang Simulation of Crystallographi Texture and Anisotropie of Polyrystals during Metal Forming with Respet to Saling Aspets D. Raabe, F. Roters, Y. Wang Max-Plank-Institut für Eisenforshung,

More information

Improved flooding of broadcast messages using extended multipoint relaying

Improved flooding of broadcast messages using extended multipoint relaying Improved flooding of broadast messages using extended multipoint relaying Pere Montolio Aranda a, Joaquin Garia-Alfaro a,b, David Megías a a Universitat Oberta de Catalunya, Estudis d Informàtia, Mulimèdia

More information

A Dictionary based Efficient Text Compression Technique using Replacement Strategy

A Dictionary based Efficient Text Compression Technique using Replacement Strategy A based Effiient Text Compression Tehnique using Replaement Strategy Debashis Chakraborty Assistant Professor, Department of CSE, St. Thomas College of Engineering and Tehnology, Kolkata, 700023, India

More information

Colouring contact graphs of squares and rectilinear polygons de Berg, M.T.; Markovic, A.; Woeginger, G.

Colouring contact graphs of squares and rectilinear polygons de Berg, M.T.; Markovic, A.; Woeginger, G. Colouring ontat graphs of squares and retilinear polygons de Berg, M.T.; Markovi, A.; Woeginger, G. Published in: nd European Workshop on Computational Geometry (EuroCG 06), 0 Marh - April, Lugano, Switzerland

More information