The Cognitive Coprocessor Architecture for Interactive User Interfaces

Size: px
Start display at page:

Download "The Cognitive Coprocessor Architecture for Interactive User Interfaces"

Transcription

1 The Cognitive Coprocessor Architecture for Interactive User Interfaces George G. Robertson, Stuart I<. Card, and Jock D. Mackinay Xerox Pao Ato Research Center 3333 Coyote Hi Road Pao Ato. CA Abstract The graphics capabiities and speed of current hardware systems aow the exporation of 3D and animation in user interfaces, whie improving the degree of int,eraction as we. In order to fuy utiize these capabiities, new software architectures must support mutipe, asynchronous, interacting agents (the Mutipe Agent Probem), and support smooth interactive anima.tion (the Animation Probem). The Cognitive Coprocessor is a new user interface architecture designed to sove these two probems, whie supporting highy interactive user interfaces that have 2D and 3D animations. This a.rchitecture incudes 3D Rooms, a 3D anaogy to the Rooms system with Rooms Buttons extended to Interactive Objects that dea with 3D, animation, and gestures. This research is being tested in the domain of I?tformation Visuaization, which uses 2D a.nd 3D animated artifa.cts to represent the structure of informa.tion. A prototype, caed the Information Visuaizer, has been buit. 1 Introduction Rapid improvements in computer and periphera hardware in recent years have dra.matica.y increased the opportunities for buiding highy intera.ctive and sophisticated user interfaces for a wide variety of appications. The graphics capabiities a.nd speed of current, hardwa.re systems aow the exporation of 3D and a.nimation in user interfaces, whie improving the degree of interaction as we. However, in order to fuy utiize these Permission to copy without fee a or part of this materia is granted provided that the copies are not made or distributed for direct commercia advantage, the ACM copyright notice and the tite of the pubication and its date appear. and notice is given that copying is by permission of the Association for Computing Machinery. To copy otherwise, or to repubish, requires a fee and/or specific 1989 ACM O /89/001 /O010 $ capabiities in a systematic way, new software architectures are needed. Two probems, in particuar, need to be addressed by these new architectures. First, the degree (and compexity) of interaction increases rapidy as interfaces begin to dea with mutipe interacting agents (the Mutipe Agent Probem), Second, there is a trend toward increased use of interactive animation in interfaces because animation can decrease the cognitive oad on the user (the Animation Probem). This paper describes a new user interface architecture, caed the Cognitive Coprocessor, which provides systematic ways of deaing with both the Mutipe Agent Probem and the Animation Probem. After describing the Mutipe Agent Probem and Animation Probem in more detai, we describe an appication, caed Information Visuaization, which uses 2D and 3D animation to expore information and its structure. We then describe the basis, background, and structure of the Cognitive Coprocessor architecture. Managing coections of visuaizations, or virtua workspaces, is done with a 3D anaogy to the Rooms system [4], caed 3D Rooms. Interaction is accompished through Interactive Objects, which are simiar to Rooms Buttons, but have been extended to dea with 3D, animation, and gestures. A of these components are being integrated into a prototype system, caed the Information Visuaizer. The paper concudes with a discussion of open impementation issues and the benifits of the architecture. 2 The Mutipe Agent Probem The behavior of an interactive system can be described as the product of the interactions of (at east) three agents [a]: a user, a user discourse nzachine, and a task ma.chine or appication (see Figure 1). The user and the user discourse machine engage in a form of diaogue communication. This diaogue is not, of course, in the form of natura anguage, but in terms of utterances pecuiary suited to conversation between human

2 and machine. An interesting feature of such conversa? tions is that, unike human-human conversations, the utterances are between fundamentay dissimiar agents - a human on one end, and a machine on the other. The machine sends its utterances to the human prima.riy through graphica presentations (pictures or text) or maybe by sound. The human sends his or her utterances to the machine through manipuations of some sort of input device, such as a keyboard or a mouse. The asymmetries in the conversation refect (1) the highy deveoped perceptua abiities of the huma.n compa.red to the reativey crude perceptua abiities of machines, (2) the abiity of many machines to generate (at high speed) graphica information matched to this human perceptua abiity, and (3) the greater cognitive resources for semantic processing on the pa.rt of humans. In addition to widey dissimiar diaogue anguages, these a.gents operate with very different time constants. For exa.mpe, a search process in an appication a.nd the gra.p1ica. dispay of its resuts may be sow, whie the user s perception of dispayed resuts may be quite fast. The user interface must provide a form of impeda.nce ma.tching (deaing with different time constants) between the various agents as we as transate between different anguages of interaction. In addition to the three agents of Figure 1, there are increasing numbers of user interfaces that provide cognitive assistance to the user by adding inteigent agents of various sorts (e.g., an agent to fiter and sort your mai [S]). These additiona agents have their own time constants and angua.ges of interaction tha.t must be a.ccomodated by the user interface. Impedance matching can be difficut to a.ccompish architecturay because a agents invoved want rapid interaction with no forced waiting on other agents, and the user wants to be abe to rapidy change his or her focus of attention as new informa.tion becomes avaia.be. For exampe, if a user initiates a ong sea.rch tha.t provides intermediate resuts as they become avaiabe, the user shoud be abe to abort or redirect the sea.rch at any point (e.g., based on perception of the int,ermedia.te resuts), without waiting for a disp1a.y or search prc+ cess to compete. Another exampe, from the doma.in of text editors, is the abiity of an editor to skip a or part of a dispay update when sequences of comma.nds are typed ahead. The user interface a.rchitecture must provide a systematic way to manage the interactions of mutipe asynchronous agents that can interrupt a.nd redirect each other s work. 3 The Animation Probem Over the ast sixty-five years [$I, animation has come from a primitive art form to a very compex and effective discipine for communication. Wat Disney has been quoted as saying, Animation can expain whatever the mind can conceive. In fact, when couped with computers, animation has been used for a wide range of things, from the concrete of simuated reaity (ike animating the fight of a simuated airpane), through metaphor (ike animating the opening of windows on a computer desktop), to the abstract (ike animating agorithms [1,3] and Scientific Visuaization). Interactive animation is the most difficut of these techniques, because of its extreme computationa requirements. An important property of interactive animation is that it can shift a user s task from cognitive to perceptua activity, freeing cognitive processing capacity for a.ppication tasks. For exampe, interactive animation supports object constancy. Consider an animation of a compex object that represents some compex reationships. When the user rotates this object, or moves around the object, animation of that motion makes it possibe (even easy, since it is at the eve of perception) for the user to retain the reationships of what is dispayed. Without animation, the dispay woud jump from one configuration to another, and the user woud have to spend time (and cognitive effort) reassimiating t he new dispa,y. By providing object constancy, animation significanty reduces the cognitive oad on the user. The Animation Probem arrises when buiding a system that attempts to provide smooth interactive animation and sove the Mutipe Agent Probem. The difficuty is that smooth animation requires a fixed rate of guaranteed computationa resource, whie the highy interactive and redirectabe support of mutipe asynchronous agents with different time constants has widey va.rying computationa requirements. The user interface architecture must baance and protect these very different computationa requirements. 4 Appication: In format ion Visuaizat ion In order to put the Cognitive Coprocessor in a framework that addresses the probems set forth above, we has focused on a cass of appications that require effective soutions to those probems. The appication area is Information Visuaization, anaogous to Scientific Visuaization. In Information Visuaization, 2D and 3D a.nimated objects (or visuaizations) are used to represent botch information and the structura reationships 11

3 TASK USER USER MACHINE DISCOURSE MACHINE Figure 1: Tripe Agent, Mode of Human-Computer Interaction. of information. Direct manipua.tion of these objects causes changes in the actua structure of the information or changes in the a.ctua information. These object,s are paced in simuated 3D environments, and the user s task is to move around those environments, int,eracting with and manipuating the artifacts that he or she finds. Some interactions invoke time consuming operations (ike searching a database). Other interactions merey change the user s orienta.tion or some object s orientation in the environment. Figure 2 shows an exampe of a simua.ted 3D environment, caed the Ezporaiory, which has a whiteboard on the right wa and a tabe with some object paced on it. In this simpe exampe, the user s task is to move around the room, interacting with the objects encountered in order to discover their content and function. Information Visuaization can make use of a 3D environment because the aspect ratio and perspective of 3D make much better use of imited screen space when dispaying arge information structures. It requires a good soution to the Mutipe Agent Probem because of the varying time constants and computationa requirements of search, manipuation, and movement. And, it requires a good soution to the Anima.tion Probem, because animation is crucia to both movement of the user about the environment and movement of objects in the environment (crucia because the user needs the benefit of object constancy that animation provides in order to make sense out of movement of compex objects representing compex structura reationships). 5 Cognitive Coprocessor Sheridan [7], in his studies of interactive embedded automation, was the first to arrive at the tri-part division of Figure 1 and to expicate the possibie paradigms of interaction. But it seems cear that the three agent mode can be adapted and enhanced to serve as a mode for human-machine interaction generay [a]. From this point of view, interactions with computer workstations are simpy a specia case of a more genera framework that incudes the contro of automated airiners, eectric power pants, and space probes. Human interfaces to network-based computation, for exampe, introduce deays, bandwidth imitations, and interactive automation contro paradigms previousy encountered in embedded automation system contro. It has aso been pointed out [2] that inteigent agents can be introduced at different sites of the three agent mode, creating different casses of inteigent systems. The Cognitive Coprocessor is a user interface architecture that supports the three agent mode, the addi- 12

4 Figure 2: Exampe 3D-Room: The Exporatory. tion of inteigent agents, aradsmooth interactive animation. It incudes management of mutipe asynchronous agents that operate with different time constants and need to interrupt and redirect each other s work. It s name is derived from the cognitive assistance it provides the user and other agents, as we as the coprocessing of mutipe interacting agents that it supports. Figure 3 shows the basic structure of the Cognitive Coprocessor Architecture. The three ayers correspond to the agents of the three agent mode (Figure 1). The basic contro mechanism (inner oop) of the Cognitive Coprocessor is caed the Animation Loop. It m&ntains a Task Queue, a Dispay Queue, and a Go,vemor. Buit on top of the Animation Loop is: an informa,tion workspace manager (and support for 3D simuated environments), caed SD Room; support for navigating around 3D environments; and support for Inferncive Objects, which provide basic I/O mecha.nisms for the user interface. The task ma.chine (which, for the Information Visuaization appica.tion, is a coection of visuaizers) coupes with the Cognit,ive Coprocessor in various ways, as iustrated in Figure Animation Loop The Animation Loop is the basic contro mechanism for the Cognitive Coprocessor Architecture, and maintains: (1) a Task Queue, which contains pending computationa tasks from various agents; (2) a Dispay Q,ueue, which contains pending instructions from various agents about how the screen shoud be painted on the next animation oop cyce; and (3) a Governor, which keeps track of time and aows for adjustments to anima.tions to keep them smooth. The architecture provides a fra.mework for agents. Bowever, it is cear that agents must be designed carefuy to fit in that framework. There are guideines for defining agents that specify how they shoud interact with and use the animation oop. For instance, these guideines indicate the size of tasks and dispay instructions permitted during any one cyce of the animation oop. Agents must be prepared to be interrupted during a task and redirect or abort their efforts. This can be accompished by either decomposing tasks into sma pieces and aowing one piece to be executed during each animation cyce (ike coroutines), or by spawning processes that can be interrupted by interprocess communication (ike mutiprogrammed systems). In either case, the architecture provides the mechanisms and guideines to make it easy to construct agents that function we in this environment, but does not force agents to conform to the guideines. The Tusk Qveze may contain three different kinds of tasks: procedures, ight-weight process spawn requests, and heavy-weight process spawn requests. The heavyweight processes are supported by the underying operating system (e.g., Unix), share no memory with the rest of the architecture, are communicated with by means of interprocess communication, and may be aborted at any time by the architecture (by kiing the process). These are most appropriate for ong running tasks or for parts of agents that aready exist in some other software package (e.g., a search procedure in a database manager). The ight-weight processes are supported by the underying anguage (e.g., extended Common Lisp), share memory with the architecture, and are communicated with by means of either shared memory or ightweight interprocess communication. These are most appropriate for medium and ong term tasks that are more 13

5 Task Machine 3D Navigation ++ 3D Rooms User Discourse Machine Task Queue Dispay Queue User Figure 3: Cognitive Coprocessor Architecture. 14

6 fuy integrated with the rest of the architecture (e.g., a search procedure over a data structure buit by an integrated visuaizer). Finay, task procedures are executed to competion, and are expected to be very short. They are most appropriate for monitoring the behavior of spawned processes and for short processing tasks (e.g., checking on the status of a spawned search pro cess). Conceptuay, the Dispay Queue contains procedures for painting the various aspects of t,he disp1a.y. In pra.ctice, the architecture is object oriented, hence the Dispay Queue contains a of the objects to be drawn. The, architecture is taiored for doube-buffered auimation (required for smooth animation), hence a objects are redrawn on each animation oop cyce. When singebuffered animation is necessary, the a.rchitecture requires appication agents to provide a. method for drawing ony the changes for each object, and to pace ony changed objects on the Disp1a.y Queue. The Cognitive Coprocessor and agents shoud be designed so that the animation oop runs a.t ten cyces per second or faster (thirty is idea), to provide smooth a.nimation. The Governor provides a, timing mechanism so that agents can te when the a.nimation oop cyce is taking onger than desirabe for smooth animation. Agents are expected to ta.ior their anima.tions to run at a fixed rea-time rate, hence shoud use the Governor to determine how much dista.nce to cover in an anima.- tion for each animation oop cyce. This prevent,s an animation from running either too fast or t(oo sow. For exampe, a ba bouncing in a room shoud be designed to bounce at a fixed rate (e.g., one bounce per secoud). The distance the ba moves on each a.nimation step depends on how fast the system a.s a whoe is running (i.e., the ba must move further in one step if the syst,em is running sower than norma). Given the other components of the architecture, the Animation Loop is quite simpe. It has two major states: the ide state and the anima.tion state. In the ide sta.te, nothing is changing on the dispay, and the task queue is empty, so the animation oop simpy suspends, waiting for input from the user or one of the spa.mned agent task processes. In the animation state, the foowing steps are taken: 1. Update the Governor s cock; 2. Process any pending input from the user or spawned task processes; 3. Process any pending tasks on the Task Queue; 4. Draw the new dispay: Cear the next dispay buffer (doube-buffered animation), Draw each of the objects on the Dispay Queue, Swap the dispay buffers; 5. Loop (go to step 1). This basic architecture with its guideines for agent construction provides the support we need for managing smooth interactive animation and mutipe asynchronous agents. 5.2 Virtua Workspaces: 3D Rooms Most of the Information Visuaization appication described earier can be supported by the Cognitive COprocessor Architecture described above. However, two additions are needed to fuy support the appication. First, we need support for simuated 3D environments in which to pace our 2D and 3D visuaizations. And second, we need a way to manage arge coections of visuaizations. Both of these are provided by a system we ca 3D Rooms. The probem of managing arge coections of information visuaizations is very simiar to the probem of managing arge numbers of windows on a computer desktop. The Rooms system [4] takes advantage of the fact that a person s dynamic access to information tends to exhibit ocaity of reference, accessing sma custers of information at a time. Henderson and Card use this fact as the basis for managing windows in custers, or virtua workspaces caed Rooms, to significanty reduce spa,ce contention in window-based user interfaces. In our Information Visuaization appication, the virtua workspaces are sma custers of 2D and 3D visuaize tions. Since we wish to pace our visuaizations in 3D environments, it seems appropriate to use a metaphor of a physica room, and make each 3D environment be a t,hree-dimensiona simuated room. The extension of the Rooms system to the 3D Rooms system is then natura. The 3D Rooms system manages coections of 3D artifacts (representing abstractions or simuations of informatiou or information structures) instead of windows, a.nd keeps each coection in a simuated 3D room D Rooms Cass Hierarchy The 3D Rooms system is object oriented. The basic object cass hierarchy is shown in Figure 4. There is a basic cass, caed Room, and two major sub-casses, 2D-Room and SD-Room. Sub-casses are created for ea.ch widey used coection of visuaizations. From each visuaization-coection cass, individua instances of rooms are created. 15

7 Room Visuaization A Room D isuaization B Room E Visuaization C < Room F Room G Figure 4: Exampe 3D Rooms Object Cass Hierarchy. A basic Room has the foowing characteristics (object sots): a name, a ist of interactive objects (described in the next section), and a ma.pping from keystrokes to seectabe interactive objects. A basic Room has methods for: 0 Initiaization, Enter-Room, Exit-Room, Draw-Room, Draw-Contents-Of-Room, Draw-Interactive-Objects, Hande-Mouse-Seection, and Hande-Menu-Seection. A 2D-Room adds some characteristics: a size (x and y) and a background coor. A 3D-Room adds: a size (x, y, and z), coors for four was, the foor, a.nd the ceiing, a foca ange (for 3D perspective contro), a.nd home positions for the body (see na.viga.tion discussion beow), direction the body is facing, and direction the gaze is facing. Visuaization casses a.dd their own cha.racteristics and shadow the basic methods to a.chieve the desired resuts. The Exporatory in Figure 2 is an exampe of a 3D- Room. In addition to the whiteboard and tabe with some object on it, there is a door on the back wa (not shown), which eads to another room. The user moves around this room interacting with the objects (the whiteboard, the object on the tabe, and the door). 5.4 Navigation in 3D Rooms In order to make interaction with 3D artifacts in 3D Rooms effective, we need a gracefu way for the user to move about a simuated 3D room. We have chosen to use the metaphor of waking around a room, and have kept room sizes and egocentric motion contros as cose to famiiar physica settings and movement as possibe. The particuar motion contros were partiay derived from a theory of input devices [5]. They provide three virtua joysticks with one mouse button. The defaut joystick contros body movement forward and backward, and body rotation eft and right. The other two virtua joysticks are tied to icons on the screen (see Figure 2). One icon represents the direction the body is facing, and its joystick contros body movement up, down, eft, and right. Cicking on the body icon wi return the body to its norma standing position. The second icon represents the direction the gaze is facing (the orientation of the head), and its joystick contros head movement up and down and head rotation eft and right, with natura human imitations (e.g., you cannot turn your head more than about 80 degrees). Cicking on the gaze icon wi bring the head to a face forward orientation. These navigationa contros are uniform across the entire Cognitive Coprocessor Architecture. In order to provide proper feedback and smooth animation of egocentric movement in a 3D-Room, the navigation mecha.nism is integrated into the basic animation oop in the draw step (step (4) above). 16

8 5.5 Interactive Objects (Generaized Buttons) The Rooms system [4] h as devices, caed Buiions, which are used for a variety of purposes, such a.s movement, new interface buiding bocks, and task assistance. A Button has an appearance (typicay, a bitmap) and a seection action (a procedure to execute when the Button is pressed ). The most typica Button in Rooms is a door - when seected, the user passes from one Room to another. Buttons are abstractions that ca.n be pa.ssed fromone Room to another, and from one user to another via eectronic mai. In our 3D Rooms system, we provide a generaization of Rooms Buttons, which we ca.11 Interactive Objects. Interactive objects are extended to dea with gestures, animation, 2D or 3D a.ppea.ra.nce, and an extensibe set of types. An interactive object ha.s an appea.ra.nce; but. has a, draw method instead of a bitma.p, since it. ma.y a.ppear as a 2D or 3D object. The notion of seection is generaized to aow mouse-based gestura input in addition t,o simpe pressing. Whenever a user gestures a.t a.11 interactive object, a gesture parser is invoked that interprets mouse movement and cassifies it as one of a sma set of easiy differentiated gestures (e.g., press, rubout, check, and throw eft, right, up or down). Once a. gesture has been identified, the interactive object dispa.tches t,o the appropriate method (i.e., there is a method for ea.& of the gestures). These gesture methods are specified when the interactive object is created. The gesture parser ca.n be easiy extended to aow additiona gestures a.nd gesture methods, as ong as the new gestures are easiy differentiated from a other gest,ures. Interactive objects can be animated by specifying a home position and a seected position. When t,he object is seected, it fys to its seected position (which may invove a number of rota,tions and tra.osa.tions). One exampe of an animated intera.ctive object. is an editabe text input object which is at home on the foor of the room, but fys to a vertica.1 orienta.tion when seected so that editing is easier. Another exa.mpe of an animated interactive object is a door t,hat, opens when the doorknob is touched. There are a number of types of interactive object,s. In the current impementation, these incude sta.tic text, editabe text, date entry, number entry, set seection, checkmark, simpe button, doors, and thermometers (for feedback and progress indicators). The set of types supported for interactive objects can be easiy extended. 6 An Information Visuaizer: Discussion The Information Visuaizer is a prototype system that incorporates a of the architectura features described for soving the Mutipe Agent Probem and Animation Probem, in the context of the Information Visuaiza tion a.ppication. It provides the integration of: 2D and 3D animated visuaizations; 3D Rooms to manage the virtua workspaces and provide a 3D environment; interactive objects to provide generaized extensions to Buttons for user interaction; and the Cognitive Coprocessor Architecture as the basic underying architecture to support mutipe asynchronous agents and smooth interactive animation. To date, we have contructed six 3D rooms in this system, providing various 2D and 3D representations of information and the structure of information. The Exporatory in Figure 2 is an exampe of one of those rooms. The system we have buit runs on a hardware base (Siicon Gra,phics Iris) that supports 3D graphics and doube-buffered animation. There are a number of impementation issues surrounding the probem of porting the Information Visuaizer to other hardware bases. One major probem has to do with 3D graphics standards. It is desirabe to use a standard to ease the porting probems, but undesirabe if the standard imposes impementation ayers that sow the system down a.nd bender smooth animation (with its rea-time constraints). One soution that we are exporing is the use of a portabe 3D graphics ayer that compies out intermediate impementation ayers. Another major probem has to do with support for both singe-buffered and doube-buffered animation. As mentioned earier, we a.re exporing the required extensions to 3D Rooms draw methods to support singe-buffered animation. Whether it can be done effectivey enough to support smooth animation is sti an open question. The basic Cognitive Coprocessor Architecture has proven to be very effective in providing a good framework for working on the Information Visuaization appica.tion. It has been easy to define new visuaizations once they were conceived (conceiving new visuaizations is quite a difficut task, and is not addressed here). And, it has been easy to achieve the desired kind of responsive redirectabe interaction with mutipe agents, whie aso a.chieving the desired smooth interactive animation. References [] Brown, M.H. (1987). Agorithm animation. MIT Press. 17

9 [2] Card, SK. (1989). H uman Factors and Artificia Inteigence. In P.A. Hanccock & M.H. Chigne (Eds.), InteIZigent interfaces: Theory, research and design. Esevier Science Pubishers B.V. (North- Hoand). [3] Duisberg, R.A. (1988). Animation using tempora constraints: an overview of the animus system. Human-Computer Interaction, 3, , Lawrence Erbaum. [4] Henderson, D.A., & Card, S.K. (1986). Rooms: the use of mutipe virtua workspaces to reduce space contention in a window-based graphica user interface. ACM Transactions on Graphics, 5, 3, , Juy, [5] Mackinay, J.D., Card, S.K., & Robertson, G.G. (in preparation) A semantic anaysis and taxonomy of input devices. To appear in Human-Computer Interaction, Lawrence Erbaum. [S] Maone, T.W., Grant K.R., Turbak, F.A., Brobst, S.A., &z Cohen, M.D. (1987). Inteigent information-sharing systems. Communica- -tions ACM, 30, 5, May 1987, [7] Sheridan, T.B. (1984). Supervisory contro of remote manipuators, vehices and dynamic processes: experiments in command and dispay aiding. Advances in Man-Machine System Research, 1, , JAI Press. [S] Thomas, F., & Johnston, 0. (1981). Disney animation - the iusion of ife. Abbevie Press (New York). 18

LBI Mobile Communications. EDACS TM Jessica. PBX Gateway. Operator s Manual

LBI Mobile Communications. EDACS TM Jessica. PBX Gateway. Operator s Manual Mobie Communications EDACS TM Jessica PBX Gateway Operator s Manua TABLE OF CONTENTS 1. SCOPE... 3 2. QUICK USAGE GUIDE... 4 2.1. Making Phone Cas From An EDACS Radio... 4 2.2. Caing EDACS Radios From

More information

Improving the Active Power Filter Performance with a Prediction Based Reference Generation

Improving the Active Power Filter Performance with a Prediction Based Reference Generation Improving the Active Power Fiter Performance with a Prediction Based Reference Generation M. Routimo, M. Sao and H. Tuusa Abstract In this paper a current reference generation method for a votage source

More information

In this chapter, I explain the essentials that you need to start drawings. After a

In this chapter, I explain the essentials that you need to start drawings. After a CHAPTER Starting to Draw In this chapter, I expain the essentias that you need to start drawings. After a itte background, I discuss the basics of the screen that you see when you open AutoCAD or AutoCAD

More information

Powerfully simple event analysis software

Powerfully simple event analysis software synchrowave Event Software Powerfuy simpe event anaysis software Diagnose reay behavior during a power system faut. Time-aign event reports from mutipe reays for comparison and anaysis. Create custom cacuations,

More information

Lesson Objective Identify the value of a quarter and count groups of coins that include quarters.

Lesson Objective Identify the value of a quarter and count groups of coins that include quarters. LESSON 9.9C Hands On Quarters PROFESSIONAL PROFESSIONAL DEVELOPMENT DEVELOPMENT LESSON AT A GLANCE Mathematics Forida Standard Te and write time. MAFS.MD.a.a Identify and combine vaues of money in cents

More information

DESIGN OF A DIPOLE ANTENNA USING COMPUTER SIMULATION

DESIGN OF A DIPOLE ANTENNA USING COMPUTER SIMULATION Undergraduate Research Opportunity Project (UROP ) DESIGN OF A DIPOLE ANTENNA USING COMPUTER SIMULATION Student: Nguyen, Tran Thanh Binh Schoo of Eectrica & Eectronic Engineering Nayang Technoogica University

More information

Getting More Out Of Programming-By-Demonstration

Getting More Out Of Programming-By-Demonstration Papers CHI 99 15-20 MAY 1999 Getting More Out Of Programming-By-Demonstration Richard G. McDanie and Brad A. Myers HCI Institute, Schoo of Computer Science Carnegie Meon University 5000 Forbes Avenue Pittsburgh,

More information

P H O T O CD I N F O R M A T I O N B U L L E T I N

P H O T O CD I N F O R M A T I O N B U L L E T I N PCD 077 Juy, 1994 Copyright, Eastman Kodak Company, 1994 P H O T O CD I N F O R M A T I O N B U L L E T I N Fuy Utiizing Photo CD Images Maintaining Coor Consistency When Creating KODAK Photo CD Portfoio

More information

Online, Artificial Intelligence-Based Turbine Generator Diagnostics

Online, Artificial Intelligence-Based Turbine Generator Diagnostics AI Magazine Voume 7 Number 4 (1986) ( AAAI) Robert L. Osborne, Ph. D Onine, Artificia Inteigence-Based Turbine Generator Diagnostics introduction The need for onine diagnostics in the eectric powergeneration

More information

Configuring RolandVersaWorks to print on your HEXIS media

Configuring RolandVersaWorks to print on your HEXIS media PRINTING DIVISION Product Buetin N 4 Configuring RoandVersaWorks to print on your HEXIS media 1. Instaing a media profie suitabe for your HEXIS printing media 1.1. Downoading the media profie 2 1.2. Importing

More information

Operation Guide

Operation Guide MO0907-EB Operation Guide 709 713 Getting Acquainted Congratuations upon your seection of this CASO watch. To get the most out of your purchase, be sure to read this manua carefuy. Expose the watch to

More information

OpenStax-CNX module: m Inductance. OpenStax College. Abstract

OpenStax-CNX module: m Inductance. OpenStax College. Abstract OpenStax-CNX modue: m42420 1 Inductance OpenStax Coege This work is produced by OpenStax-CNX and icensed under the Creative Commons Attribution License 3.0 Cacuate the inductance of an inductor. Cacuate

More information

Yongxiang Zhao Brookhaven National Laboratory Upton, NY, July 1998 CENTER FOR ACCELERATOR PHYSICS

Yongxiang Zhao Brookhaven National Laboratory Upton, NY, July 1998 CENTER FOR ACCELERATOR PHYSICS BNL CAP CCII, 65685 225-MUON-98C A NEW STRUCTURE OF LINEAR COLLIDER * Yongxiang Zhao Brookhaven Nationa Laboratory Upton, NY, 11973 RECEIVED AIK 1 7 1998 OSTI *This work was supported by the US Department

More information

Alignment of Defense Contractors Innovation Strategies With US DOD RDT&E Plans: The Winners and Losers.

Alignment of Defense Contractors Innovation Strategies With US DOD RDT&E Plans: The Winners and Losers. Aignment of Defense Contractors Innovation Strategies With US DOD RDT&E Pans: The Winners and Losers. A new anaysis by Vector Anaytics based on the FY19 budget request. www.vector-anaytics.com 2 This new

More information

hp scanjet 4400c series and 5400c series scanners user s manual

hp scanjet 4400c series and 5400c series scanners user s manual hp scanjet 4400c series and 5400c series scanners user s manua Copyright Hewett-Packard Company 2001 A rights reserved. Reproduction, adaptation, or transation without prior written permission is prohibited,

More information

Computer Science Clinic Overview

Computer Science Clinic Overview Harvey Mudd Coege Computer Science Department Computer Science Cinic Overview Robert M. Keer Professor & Director www.cs.hmc hmc.edu/cinic keer@cs.hmc hmc.edu 909-621-8483 History of Computer Science Cinic

More information

Model of Neuro-Fuzzy Prediction of Confirmation Timeout in a Mobile Ad Hoc Network

Model of Neuro-Fuzzy Prediction of Confirmation Timeout in a Mobile Ad Hoc Network Mode of Neuro-Fuzzy Prediction of Confirmation Timeout in a Mobie Ad Hoc Network Igor Konstantinov, Kostiantyn Poshchykov, Sergej Lazarev, and Oha Poshchykova Begorod State University, Pobeda Street 85,

More information

Utility-Proportional Fairness in Wireless Networks

Utility-Proportional Fairness in Wireless Networks IEEE rd Internationa Symposium on Persona, Indoor and Mobie Radio Communications - (PIMRC) Utiity-Proportiona Fairness in Wireess Networks G. Tychogiorgos, A. Gkeias and K. K. Leung Eectrica and Eectronic

More information

Fox-1E (RadFxSat-2) Telemetry and Whole Orbit Data Simulation. Burns Fisher, W2BFJ Carl Wick, N3MIM

Fox-1E (RadFxSat-2) Telemetry and Whole Orbit Data Simulation. Burns Fisher, W2BFJ Carl Wick, N3MIM Fox-1E (RadFxSat-2) Teemetry and Whoe Orbit Data Simuation Burns Fisher, W2BFJ Car Wick, N3MIM 1 Review: Fox-1 DUV Teemetry Fox-1A through Fox-1D are FM Repeater Sateites» Ony a singe downink frequency»

More information

Radial basis function networks for fast contingency ranking

Radial basis function networks for fast contingency ranking Eectrica Power and Energy Systems 24 2002) 387±395 www.esevier.com/ocate/ijepes Radia basis function networks for fast contingency ranking D. Devaraj a, *, B. Yegnanarayana b, K. Ramar a a Department of

More information

Development of a LabVIEW-based test facility for standalone PV systems

Development of a LabVIEW-based test facility for standalone PV systems Deveopment of a LabVIEW-based test faciity for standaone PV systems Aex See Kok Bin, Shen Weixiang, Ong Kok Seng, Saravanan Ramanathan and Low I-Wern Monash University Maaysia, Schoo of Engineering No.2,

More information

CAN FD system design

CAN FD system design icc 215 CAN FD system design Dr. - Ing. M. Schreiner Daimer Research and Deveopment Abstract The objective of this paper is to give genera design rues for the physica ayer of CAN FD networks. As an introduction

More information

COMPARATIVE ANALYSIS OF ULTRA WIDEBAND (UWB) IEEE A CHANNEL MODELS FOR nlos PROPAGATION ENVIRONMENTS

COMPARATIVE ANALYSIS OF ULTRA WIDEBAND (UWB) IEEE A CHANNEL MODELS FOR nlos PROPAGATION ENVIRONMENTS COMPARATIVE ANALYSIS OF ULTRA WIDEBAND (UWB) IEEE80.15.3A CHANNEL MODELS FOR nlos PROPAGATION ENVIRONMENTS Ms. Jina H. She PG Student C.C.E.T, Wadhwan, Gujarat, Jina_hshet@yahoo.com Dr. K. H. Wandra Director

More information

Configuring Onyx to print on your HEXIS media

Configuring Onyx to print on your HEXIS media Configuring Onyx to print on your HEXIS media 1. Instaing a media profie suitabe for your HEXIS printing media 1.1. Downoading the media profie 2 1.2. Importing the media profie into Onyx 3 2. Defaut setting

More information

Series. Quite simply, the best in insulation! C.A 6521 C.A 6523 C.A 6525 C.A 6531 C.A Megohmmeters

Series. Quite simply, the best in insulation! C.A 6521 C.A 6523 C.A 6525 C.A 6531 C.A Megohmmeters Quite simpy, the best in insuation! Series C.A 6521 C.A 6523 C.A 6525 C.A 6531 C.A 6533 Megohmmeters Twin digita-anaogue dispay Giant back-it screen Battery powered for hours Programmabe threshod aarms

More information

Lesson Objective Identify the value of a group of coins that includes pennies and/ or dimes.

Lesson Objective Identify the value of a group of coins that includes pennies and/ or dimes. LESSON 9.9B Count Coections LESSON AT A GLANCE Daiy Routines Mathematics Forida Standard Te and write time. MAFS.1.MD.2.a.b Identify and combine vaues of money in cents up to one doar working with a singe

More information

Rate-Allocation Strategies for Closed-Loop MIMO-OFDM

Rate-Allocation Strategies for Closed-Loop MIMO-OFDM Rate-Aocation Strategies for Cosed-Loop MIMO-OFDM Joon Hyun Sung and John R. Barry Schoo of Eectrica and Computer Engineering Georgia Institute of Technoogy, Atanta, Georgia 30332 0250, USA Emai: {jhsung,barry}@ece.gatech.edu

More information

Power Control and Transmission Scheduling for Network Utility Maximization in Wireless Networks

Power Control and Transmission Scheduling for Network Utility Maximization in Wireless Networks roceedings of the 46th IEEE Conference on Decision and Contro New Oreans, LA, USA, Dec. 12-14, 27 FrB2.5 ower Contro and Transmission Scheduing for Network Utiity Maximization in Wireess Networks Min Cao,

More information

Secure Physical Layer Key Generation Schemes: Performance and Information Theoretic Limits

Secure Physical Layer Key Generation Schemes: Performance and Information Theoretic Limits Secure Physica Layer Key Generation Schemes: Performance and Information Theoretic Limits Jon Waace Schoo of Engineering and Science Jacobs University Bremen, Campus Ring, 879 Bremen, Germany Phone: +9

More information

SURGE ARRESTERS FOR CABLE SHEATH PREVENTING POWER LOSSES IN M.V. NETWORKS

SURGE ARRESTERS FOR CABLE SHEATH PREVENTING POWER LOSSES IN M.V. NETWORKS SURGE ARRESTERS FOR CABLE SHEATH PREVENTING POWER LOSSES IN M.V. NETWORKS A. Heiß Energie-AG (EAM), Kasse G. Bazer Darmstadt University of Technoogy O. Schmitt ABB Caor Emag Schatanagen, Mannheim B. Richter

More information

DESIGN OF SHIP CONTROLLER AND SHIP MODEL BASED ON NEURAL NETWORK IDENTIFICATION STRUCTURES

DESIGN OF SHIP CONTROLLER AND SHIP MODEL BASED ON NEURAL NETWORK IDENTIFICATION STRUCTURES DESIGN OF SHIP CONROLLER AND SHIP MODEL BASED ON NEURAL NEWORK IDENIFICAION SRUCURES JASMIN VELAGIC, FACULY OF ELECRICAL ENGINEERING SARAJEVO, BOSNIA AND HERZEGOVINA, asmin.veagic@etf.unsa.ba ABSRAC his

More information

DIGITISATION: CONCEPT, NEED, METHODS AND EQUIPMENT

DIGITISATION: CONCEPT, NEED, METHODS AND EQUIPMENT UNIT 7 DIGITISATION: CONCEPT, NEED, METHODS AND EQUIPMENT Structure 7.0 Objectives 7.1 Introduction 7.2 Digitisation: Basics 7.2.1 Definition 7.2.2 Need for Digitisation 7.3 Seection of Materias for Digitisation

More information

Pulsed RF Signals & Frequency Hoppers Using Real Time Spectrum Analysis

Pulsed RF Signals & Frequency Hoppers Using Real Time Spectrum Analysis Pused RF Signas & Frequency Hoppers Using Rea Time Spectrum Anaysis 1 James Berry Rohde & Schwarz Pused Rea Time and Anaysis Frequency Seminar Hopper Agenda Pused Signas & Frequency Hoppers Characteristics

More information

An Approach to use Cooperative Car Data in Dynamic OD Matrix

An Approach to use Cooperative Car Data in Dynamic OD Matrix An Approach to use Cooperative Car Data in Dynamic OD Matrix Estimation L. Montero and J. Barceó Department of Statistics and Operations Research Universitat Poitècnica de Cataunya UPC-Barceona Tech Abstract.

More information

Joint Spectrum Access and Pricing in Cognitive Radio Networks with Elastic Traffic

Joint Spectrum Access and Pricing in Cognitive Radio Networks with Elastic Traffic Joint Spectrum Access and Pricing in Cognitive Radio Networks with Eastic Traffic Joceyne Eias University of Bergamo E-mai: joceyne.eias@unibg.it Fabio Martignon University of Bergamo E-mai: fabio.martignon@unibg.it

More information

Bringing LEARNING TO LIFE. Making Immersive Learning Practical.

Bringing LEARNING TO LIFE. Making Immersive Learning Practical. Bringing LEARNING TO LIFE Making Immersive Learning Practica www.veative.com About VEATIVE A goba provider of education technoogy and innovative digita earning soutions, using immersive technoogies. Providing

More information

Chapter 3: Creating Images in Layers. Creating Images in Layers. Chapter 3: Creating Images in Layers Page 1 of 22.

Chapter 3: Creating Images in Layers. Creating Images in Layers. Chapter 3: Creating Images in Layers Page 1 of 22. Chapter 3: Creating Images in Layers Page 1 of 22 Chapter 3: Creating Images in Layers In This Chapter Creating Images in Layers Creating and Managing Layers Troubeshooting Photoshop at Work: Creating

More information

Fuzzy Model Predictive Control Applied to Piecewise Linear Systems

Fuzzy Model Predictive Control Applied to Piecewise Linear Systems 10th Internationa Symposium on Process Systems Engineering - PSE2009 Rita Maria de Brito Aves, Caudio Augusto Oer do Nascimento and Evaristo Chabaud Biscaia Jr. (Editors) 2009 Esevier B.V. A rights reserved.

More information

Understanding The HA2500 Horizontal Output Load Test

Understanding The HA2500 Horizontal Output Load Test Understanding The HA2500 Horizonta Output Load Test Horizonta output stages are part of every CRT video dispay incuding cosed circuit monitors, computer monitors, video games, medica monitors, TVs. HDTVs,

More information

Electronic circuit protector ESX10-Sxxx-DC24V-1A-10A

Electronic circuit protector ESX10-Sxxx-DC24V-1A-10A Eectronic circuit protector ESX10-Sxxx-DC2V-1A-10A Description The mode ESX10-Sxxx extends our product group of eectronic overcurrent protection devices for DC 2 V appications. At a width of ony 12.5mm

More information

RED LION CONTROLS MODEL IFMA - DIN-RAIL FREQUENCY TO ANALOG CONVERTER

RED LION CONTROLS MODEL IFMA - DIN-RAIL FREQUENCY TO ANALOG CONVERTER RED LION CONTROLS INTERNATIONAL HEADQUARTERS EUROPEAN HEADQUARTERS 20 Wiow Springs Circe, York, Pa. 17402, (717) 767-6511 FAX: (717) 764-0839 892 Pymouth Road, Sough, Berkshire SL1 4LP Web site- http://www.redion-contros.com

More information

Optimum Fault Current Limiter Placement

Optimum Fault Current Limiter Placement Optimum aut urrent Limiter acement Jen-Hao Teng han-an Lu Abstract: Due to the difficuty in power network reinforcement and the interconnection of more distributed generations, faut current eve has become

More information

Commercial roller shade selection guide

Commercial roller shade selection guide Commercia roer shade seection guide Introduction Lutron offers the most advanced shading soutions for commercia spaces, with a arge variety of product options and features. From individua eectronicay controed

More information

Performance Comparison of Cyclo-stationary Detectors with Matched Filter and Energy Detector M. SAI SINDHURI 1, S. SRI GOWRI 2

Performance Comparison of Cyclo-stationary Detectors with Matched Filter and Energy Detector M. SAI SINDHURI 1, S. SRI GOWRI 2 ISSN 319-8885 Vo.3,Issue.39 November-14, Pages:7859-7863 www.ijsetr.com Performance Comparison of Cyco-stationary Detectors with Matched Fiter and Energy Detector M. SAI SINDHURI 1, S. SRI GOWRI 1 PG Schoar,

More information

Provides exact fault location to one span

Provides exact fault location to one span TWS Mark VI Traveing wave faut ocator Provides exact faut ocation to one span Reduce down time by getting to the faut site faster Track intermittent sef cearing fauts and focus maintenance at the right

More information

Slim-line Aluminium Roofs Assembly Guide

Slim-line Aluminium Roofs Assembly Guide Sim-ine Auminium Roofs Assemby Guide Contents Bonded fush gazed roofs Page 3 Singe section of gass Page 4 Singe square with opener Page 5 Mutipe gass panes Page 6 Instaing Openers Page 10 Timber Kerb For

More information

Aalborg Universitet On Radiated Performance Evaluation of Massive MIMO Devices in Multi-Probe Anechoic Chamber OTA Setups General rights

Aalborg Universitet On Radiated Performance Evaluation of Massive MIMO Devices in Multi-Probe Anechoic Chamber OTA Setups General rights Aaborg Universitet On Radiated Performance Evauation of Massive MIMO Devices in Muti-Probe Anechoic Chamber OTA Setups Kyösti, Pekka; Hentiä, Lassi; Fan, Wei; Lehtomaki, Janne; Latva-aho, Matti Pubished

More information

Comparison of One- and Two-Way Slab Minimum Thickness Provisions in Building Codes and Standards

Comparison of One- and Two-Way Slab Minimum Thickness Provisions in Building Codes and Standards ACI STRUCTURAL JOURNAL Tite no. 107-S15 TECHNICAL PAPER Comparison of One- and Two-Way Sab Minimum Thickness Provisions in Buiding Codes and Standards by Young Hak Lee and Andrew Scanon Minimum thickness

More information

Non-Preemptive Interrupt Scheduling for Safe Reuse of Legacy Drivers in Real-Time Systems

Non-Preemptive Interrupt Scheduling for Safe Reuse of Legacy Drivers in Real-Time Systems Non-Preemptive Interrupt Scheduing for Safe Reuse of Legacy Drivers in Rea-Time Systems Tuio Facchinetti, Giorgio Buttazzo, Mauro Marinoni, and Giacomo Guidi University of Pavia, Itay {tuio.facchinetti,giorgio.buttazzo,

More information

The European Emission Specifications

The European Emission Specifications The European Emission Specifications. Manfred Stecher Rohde & Schwarz GmbH & Co. KG MihdorfstraDe 15 D-81671 Miinchen, Germany SUMMARY The paper gives an overview over the current European emission specifications.

More information

University of Bristol - Explore Bristol Research. Peer reviewed version. Link to published version (if available): /GLOCOM.2003.

University of Bristol - Explore Bristol Research. Peer reviewed version. Link to published version (if available): /GLOCOM.2003. Coon, J., Siew, J., Beach, MA., Nix, AR., Armour, SMD., & McGeehan, JP. (3). A comparison of MIMO-OFDM and MIMO-SCFDE in WLAN environments. In Goba Teecommunications Conference, 3 (Gobecom 3) (Vo. 6, pp.

More information

Fast Hybrid DFT/DCT Architecture for OFDM in Cognitive Radio System

Fast Hybrid DFT/DCT Architecture for OFDM in Cognitive Radio System Fast Hybrid DF/D Architecture for OFDM in ognitive Radio System Zhu hen, Moon Ho Lee, Senior Member, EEE, hang Joo Kim 3 nstitute of nformation&ommunication, honbuk ationa University, Jeonju, 56-756,Korea

More information

Pilkington K Glass Range Pilkington K Glass Pilkington K Glass OW Pilkington K Glass OW on Surface 4 Pilkington K Glass S

Pilkington K Glass Range Pilkington K Glass Pilkington K Glass OW Pilkington K Glass OW on Surface 4 Pilkington K Glass S Pikington K Gass Range Pikington K Gass Pikington K Gass OW Pikington K Gass OW on Surface 4 Pikington K Gass S Upstairs windows using energy-efficient gazing. Downstairs windows using origina singe gazing.

More information

Wireless Communications

Wireless Communications Wireess Communications Ceuar Concept Hamid Bahrami Reference: Rappaport Chap3 Eectrica & Computer Engineering Statements of Probems Soving the probem of Spectra congestion System Capacity A system-eve

More information

Knowledge Representation and Reasoning in the Design of Composite Systems

Knowledge Representation and Reasoning in the Design of Composite Systems 470 IEEE TRANSACTIONS ON, SOFTWARE ENGINEERING, VOL. 18, NO. h, JUNE 1992 Knowedge Representation and Reasoning in the Design of Composite Systems Stephen Fickas and B. Robert Hem Abstract- Our interest

More information

Minimizing Distribution Cost of Distributed Neural Networks in Wireless Sensor Networks

Minimizing Distribution Cost of Distributed Neural Networks in Wireless Sensor Networks 1 Minimizing Distribution Cost of Distributed Neura Networks in Wireess Sensor Networks Peng Guan and Xiaoin Li Scaabe Software Systems Laboratory, Department of Computer Science Okahoma State University,

More information

arxiv: v1 [cs.it] 22 Aug 2007

arxiv: v1 [cs.it] 22 Aug 2007 Voice Service Support in Mobie Ad Hoc Networks Hai Jiang, Ping Wang, H. Vincent Poor, and Weihua Zhuang Dept. of Eec. & Comp. Eng., University of Aberta, Canada, hai.jiang@ece.uaberta.ca Dept. of Eec.

More information

Outline. Introduce yourself!! Class information and logistics. What is planning? Motivational Examples

Outline. Introduce yourself!! Class information and logistics. What is planning? Motivational Examples Outine Introduce yoursef!! Cass information and ogistics What is panning? Motivationa Exampes What is CIS 6930 Introduction to Panning Agorithms about? About the instructor: Name: Leonardo Bobadia, Ph.D

More information

ADAPTIVE ITERATION SCHEME OF TURBO CODE USING HYSTERESIS CONTROL

ADAPTIVE ITERATION SCHEME OF TURBO CODE USING HYSTERESIS CONTROL ADATIV ITRATION SCHM OF TURBO COD USING HYSTRSIS CONTROL Chih-Hao WU, Kenichi ITO, Yung-Liang HUANG, Takuro SATO Received October 9, 4 Turbo code, because of its remarkabe coding performance, wi be popuar

More information

: taking service robots to play soccer

: taking service robots to play soccer Virbot@fied : taking service robots to pay soccer Larena Adaberto, Escaante Boris, Torres Luis, Abad Verónica, Vázquez Lauro Bio-Robotics Laboratory, Department of Eectrica Engineering Universidad Naciona

More information

Georgia Institute of Technology. simulating the performance of a 32-bit interconnect bus. referenced to non-ideal planes. A transient simulation

Georgia Institute of Technology. simulating the performance of a 32-bit interconnect bus. referenced to non-ideal planes. A transient simulation Power ntegrity/signa ntegrity Co-Simuation for Fast Design Cosure Krishna Srinivasan1, Rohan Mandrekar2, Ege Engin3 and Madhavan Swaminathan4 Georgia nstitute of Technoogy 85 5th St NW, Atanta GA 30308

More information

WS2812 Intelligent control LED integrated light source

WS2812 Intelligent control LED integrated light source Features and Benefits Contro circuit and RGB chip are integrated in a package of 5050 components, form a compete contro of pixe point. Buit-in signa reshaping circuit, after wave reshaping to the next

More information

Marketing tips and templates

Marketing tips and templates For financia adviser use ony. Not approved for use with customers. Marketing tips and tempates Heping you to grow your equity reease business The growing equity reease market can offer many opportunities

More information

(12) United States Patent (10) Patent N0.: US 6,493,200 B1 Farmer et al. (45) Date of Patent: Dec. 10, 2002

(12) United States Patent (10) Patent N0.: US 6,493,200 B1 Farmer et al. (45) Date of Patent: Dec. 10, 2002 i US006493200B1 (12) United States Patent (10) Patent N0.: US 6,493,200 B1 Farmer et a. (45) Date of Patent: Dec. 10, 2002 (54) COAXAL CABLE PROTECTON DEVCE Primary Examiner EdWard H. Tso _ Assistant Examiner

More information

EXETER CITY COUNCIL PUBLIC ART POLICY AND STRATEGY EXECUTIVE SUMMARY

EXETER CITY COUNCIL PUBLIC ART POLICY AND STRATEGY EXECUTIVE SUMMARY EXETER CITY COUNCIL PUBLIC ART POLICY AND STRATEGY EXECUTIVE SUMMARY 1 EXETER CITY COUNCIL PUBLIC ART POLICY AND STRATEGY EXECUTIVE SUMMARY 1. Introduction and terms of the Summary 1. 1 Exceence in the

More information

Chapter 15 Other Modifications

Chapter 15 Other Modifications Chapter 15 Other Modifications We have aready seen ways to modify a sound through either edition (see Chap. 6) or fitering (see Chap. 14). Some other changes in ampitude, time, and/or frequency might be

More information

AN Ω(D log(n/d)) LOWER BOUND FOR BROADCAST IN RADIO NETWORKS

AN Ω(D log(n/d)) LOWER BOUND FOR BROADCAST IN RADIO NETWORKS SIAM J. COMPUT. c 1998 Society for Industria and Appied Mathematics Vo. 27, No. 3, pp. 702 712, June 1998 008 AN Ω(D og(n/d)) LOWER BOUND FOR BROADCAST IN RADIO NETWORKS EYAL KUSHILEVITZ AND YISHAY MANSOUR

More information

LSTM TIME AND FREQUENCY RECURRENCE FOR AUTOMATIC SPEECH RECOGNITION

LSTM TIME AND FREQUENCY RECURRENCE FOR AUTOMATIC SPEECH RECOGNITION LSTM TIME AND FREQUENCY RECURRENCE FOR AUTOMATIC SPEECH RECOGNITION Jinyu Li, Abderahman Mohamed, Geoffrey Zweig, and Yifan Gong Microsoft Corporation, One Microsoft Way, Redmond, WA 98052 { jinyi, asamir,

More information

ThermaData Logger DATA-LOGGERS. temperature recording thermometers.

ThermaData Logger DATA-LOGGERS. temperature recording thermometers. ThermaData Logger temperature recording thermometers waterproof housing offering IP66/67 protection temperature range or 125 C resoution 0.1 C, high accuracy ±0.5 C meets EN 12830, S & T, C & D, 1 The

More information

One Dollar LESSON AT A GLANCE. Daily Routines. Problem of the Day. Vocabulary Builder. Digital Path. About the Math. Dollar. Teaching for Depth

One Dollar LESSON AT A GLANCE. Daily Routines. Problem of the Day. Vocabulary Builder. Digital Path. About the Math. Dollar. Teaching for Depth LESSON 9.9D One Doar PROFESSIONAL DEVELOPMENT PROFESSIONAL DEVELOPMENT LESSON AT A GLANCE Mathematics Forida Standard Te and write time. MAFS.1.MD.2.a.c Identify and combine vaues of money in cents up

More information

Rateless Codes for the Gaussian Multiple Access Channel

Rateless Codes for the Gaussian Multiple Access Channel Rateess Codes for the Gaussian Mutipe Access Channe Urs Niesen Emai: uniesen@mitedu Uri Erez Dept EE, Te Aviv University Te Aviv, Israe Emai: uri@engtauaci Devavrat Shah Emai: devavrat@mitedu Gregory W

More information

STUDY ON AOTF-BASED NEAR-INFRARED SPECTROSCOPY ANALYSIS SYSTEM OF FARM PRODUCE QUALITY

STUDY ON AOTF-BASED NEAR-INFRARED SPECTROSCOPY ANALYSIS SYSTEM OF FARM PRODUCE QUALITY STUDY ON AOTF-BASED NEAR-INFRARED SPECTROSCOPY ANALYSIS SYSTEM OF FARM PRODUCE QUALITY Xiaochao Zhang *, Xiaoan Hu, Yinqiao Zhang, Hui Wang, Hui Zhang 1 Institute of Mechatronics Technoogy and Appication,

More information

Debugging EMI Using a Digital Oscilloscope

Debugging EMI Using a Digital Oscilloscope Debugging EMI Using a Digita Oscioscope 06/2009 Nov 2010 Fundamentas Scope Seminar of DSOs Signa Fideity 1 1 1 Debugging EMI Using a Digita Oscioscope Background radiated emissions Basics of near fied

More information

Iterative Transceiver Design for Opportunistic Interference Alignment in MIMO Interfering Multiple-Access Channels

Iterative Transceiver Design for Opportunistic Interference Alignment in MIMO Interfering Multiple-Access Channels Journa of Communications Vo. 0 No. February 0 Iterative Transceiver Design for Opportunistic Interference Aignment in MIMO Interfering Mutipe-Access Channes Weipeng Jiang ai Niu and Zhiqiang e Schoo of

More information

Series 700A Power Processor

Series 700A Power Processor Series 700A Power Processor 5 25 SINGLE PHASE 10 500 THREE PHASE VOLTAGE REGULATION, ISOLATION, AND POWER DISTRIBUTION FOR CLEAN, SPIKE-FREE, STABLE VOLTAGE When Power Quaity Is A Must And Faiure Is Not

More information

Intro to Robotics 110

Intro to Robotics 110 Intro to Robotics 110 Wecome to the Tooing University. This course is designed to be used in conjunction with the onine version of this cass. The onine version can be found at http://www.tooingu.com. We

More information

Automation of the Solution of Kakuro Puzzles

Automation of the Solution of Kakuro Puzzles Automation of the Soution of Kakuro Puzzes R. P. Davies, P. A. Roach, S. Perkins Department of Computing and Mathematica Sciences, University of Gamorgan, Pontypridd, CF37 1DL, United Kingdom, rpdavies@gam.ac.uk

More information

IH MARINE EAST YORKSHIRE DEALER

IH MARINE EAST YORKSHIRE DEALER IH MARINE EAST YORKSHIRE DEALER 07429 562 014 Advanced technoogy for fundamenta tasks www.oex.no Survey Visuaization Potting Positioning Concerted charting since 1997 Seabead discrimination Survey and

More information

Dealing with Link Blockage in mmwave Networks: D2D Relaying or Multi-beam Reflection?

Dealing with Link Blockage in mmwave Networks: D2D Relaying or Multi-beam Reflection? Deaing with Lin Bocage in mmwave etwors: DD Reaying or Muti-beam Refection? Mingjie Feng, Shiwen Mao Dept. Eectrica & Computer Engineering Auburn University, Auburn, AL 36849-5, U.S.A. Tao Jiang Schoo

More information

arxiv: v4 [physics.soc-ph] 31 Dec 2013

arxiv: v4 [physics.soc-ph] 31 Dec 2013 A Cascading Faiure Mode by Quantifying Interactions Junjian Qi and Shengwei Mei Department of Eectrica Engineering, Tsinghua University, Beijing, China 100084 arxiv:1301.2055v4 [physics.soc-ph] 31 Dec

More information

GT3D Digital Timers. 100 to 240V AC (50/60Hz), 24V AC (50/60Hz)/24V DC

GT3D Digital Timers. 100 to 240V AC (50/60Hz), 24V AC (50/60Hz)/24V DC rs G3D Series G3D rs Key features of the G3D series incude: Precise time setting using digita thumbwhee switches Eapsed or time remaining LCD dispay 6 time ranges, 16 timing functions deays up to 99.9

More information

LTC6993-1/LTC LTC6993-3/LTC TimerBlox: Monostable Pulse Generator (One Shot) Applications. Typical Application

LTC6993-1/LTC LTC6993-3/LTC TimerBlox: Monostable Pulse Generator (One Shot) Applications. Typical Application Features n Puse Width Range: 1µs to 33.6 Seconds n Configured with 1 to 3 Resistors n Puse Width Max Error: 51µs

More information

Channel Division Multiple Access Based on High UWB Channel Temporal Resolution

Channel Division Multiple Access Based on High UWB Channel Temporal Resolution Channe Division Mutipe Access Based on High UWB Channe Tempora Resoution Rau L. de Lacerda Neto, Aawatif Menouni Hayar and Mérouane Debbah Institut Eurecom B.P. 93 694 Sophia-Antipois Cedex - France Emai:

More information

Distribution of Path Durations in Mobile Ad-Hoc Networks and Path Selection

Distribution of Path Durations in Mobile Ad-Hoc Networks and Path Selection Distribution of ath Durations in Mobie Ad-Hoc Networks and ath Seection Richard J. La and Yijie Han Abstract We investigate the issue of path seection in mutihop wireess networks with the goa of identifying

More information

Sparse Beamforming Design for Network MIMO System with Per-Base-Station Backhaul Constraints

Sparse Beamforming Design for Network MIMO System with Per-Base-Station Backhaul Constraints Sparse Beamforming Design for Networ MIMO System with Per-Base-Station Bachau Constraints Binbin Dai and Wei Yu Department of Eectrica and Computer Engineering University of Toronto, Toronto, Ontario M5S

More information

BER Performance Analysis of Cognitive Radio Physical Layer over Rayleigh fading Channel

BER Performance Analysis of Cognitive Radio Physical Layer over Rayleigh fading Channel Internationa Journa of Computer ppications (0975 8887) Voume 5 No.11, Juy 011 BER Performance naysis of Cognitive Radio Physica Layer over Rayeigh fading mandeep Kaur Virk Dr. B R mbedkar Nationa Institute

More information

Availability Analysis for Elastic Optical Networks with Multi-path Virtual Concatenation Technique

Availability Analysis for Elastic Optical Networks with Multi-path Virtual Concatenation Technique Progress In Eectromagnetics Research Symposium Proceedings, Guangzhou, China, Aug. 25 28, 2014 849 Avaiabiity Anaysis for Eastic Optica Networks with Muti-path Virtua Concatenation Technique Xiaoing Wang

More information

Joint Optimization of Scheduling and Power Control in Wireless Networks: Multi-Dimensional Modeling and Decomposition

Joint Optimization of Scheduling and Power Control in Wireless Networks: Multi-Dimensional Modeling and Decomposition This artice has been accepted for pubication in a future issue of this journa, but has not been fuy edited. Content may change prior to fina pubication. Citation information: DOI 10.1109/TMC.2018.2861859,

More information

Satellite Link Layer Performance Using Two Copy SR-ARQ and Its Impact on TCP Traffic

Satellite Link Layer Performance Using Two Copy SR-ARQ and Its Impact on TCP Traffic Sateite Link Layer Performance Using Two Copy SR-ARQ and Its Impact on TCP Traffic Jing Zhu and Sumit Roy Department of Eectrica Engineering, University of Washington Box 352500, Seatte, WA 98195, USA

More information

Time-domain Techniques in EMI Measuring Receivers. Technical and Standardization Requirements

Time-domain Techniques in EMI Measuring Receivers. Technical and Standardization Requirements Time-domain Techniques in EMI Measuring Receivers Technica and Standardization Requirements CISPR = Huge, Sow, Compex, CISPR = Internationa Specia Committee on Radio Interference Technica committee within

More information

NEW RISK ANALYSIS METHOD to EVALUATE BCP of SUPPLY CHAIN DEPENDENT ENTERPRISE

NEW RISK ANALYSIS METHOD to EVALUATE BCP of SUPPLY CHAIN DEPENDENT ENTERPRISE The 14 th Word Conference on Earthquake Engineering NEW RISK ANALYSIS ETHOD to EVALUATE BCP of SUPPLY CHAIN DEPENDENT ENTERPRISE Satoru Nishikawa 1, Sei ichiro Fukushima 2 and Harumi Yashiro 3 ABSTRACT

More information

Large Scale Real-time Ridesharing with Service Guarantee on Road Networks

Large Scale Real-time Ridesharing with Service Guarantee on Road Networks Large Scae Rea-time Ridesharing with Service Guarantee on Road Networks ABSTRACT Yan Huang University of North Texas huangyan@unt.edu Ruoming Jin Computer Science Kent State University jin@cs.kent.edu

More information

Joint Optimal Power Allocation and Relay Selection with Spatial Diversity in Wireless Relay Networks

Joint Optimal Power Allocation and Relay Selection with Spatial Diversity in Wireless Relay Networks Proceedings of SDR'11-WInnComm-Europe, 22-24 Jun 2011 Joint Optima Power Aocation and Reay Seection with Spatia Diversity in Wireess Reay Networks Md Habibu Isam 1, Zbigniew Dziong 1, Kazem Sohraby 2,

More information

A Development of Tools For Monitorization and Control of Multivariable Neurocontrolled Systems with Application to Distillation Columns

A Development of Tools For Monitorization and Control of Multivariable Neurocontrolled Systems with Application to Distillation Columns A Deveopment of Toos For Monitorization and Contro of Mutivariabe Neurocontroed Systems wit Appication to Distiation Coumns J Fernandez de Canete, S Gonzaez-Perez, P de Saz Orozco Dpt of System Engineering

More information

Objective Sound. Chapter 1 AN OLD STORY. Propagation PROPERTIES OF PHYSICAL SOUND

Objective Sound. Chapter 1 AN OLD STORY. Propagation PROPERTIES OF PHYSICAL SOUND Chapter 1 AN OLD STORY A tree fas over in a wood. Does it make a sound? From one point of view, the answer is that it must make a sound, because the physica requirements for sound to exist have been met.

More information

A BAG-OF-FEATURES APPROACH TO ACOUSTIC EVENT DETECTION. Department of Computer Science, TU Dortmund University, Dortmund, Germany

A BAG-OF-FEATURES APPROACH TO ACOUSTIC EVENT DETECTION. Department of Computer Science, TU Dortmund University, Dortmund, Germany A BAG-OF-FEATURES APPROACH TO ACOUSTIC EVENT DETECTION Axe Pinge, René Grzeszick, and Gernot A. Fink Department of Computer Science, TU Dortmund University, Dortmund, Germany ABSTRACT The cassification

More information

Network Control by Bayesian Broadcast

Network Control by Bayesian Broadcast IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. IT-33, NO. 3, MAY 1987 323 Network Contro by Bayesian Broadcast RONALD L. RIVEST Abstract-A transmission contro strategy is described for sotted- ALOHA-type

More information

PROPORTIONAL FAIR SCHEDULING OF UPLINK SINGLE-CARRIER FDMA SYSTEMS

PROPORTIONAL FAIR SCHEDULING OF UPLINK SINGLE-CARRIER FDMA SYSTEMS PROPORTIONAL FAIR SCHEDULING OF UPLINK SINGLE-CARRIER SYSTEMS Junsung Lim, Hyung G. Myung, Kyungjin Oh and David J. Goodman Dept. of Eectrica and Computer Engineering, Poytechnic University 5 Metrotech

More information

ACTA TECHNICA NAPOCENSIS

ACTA TECHNICA NAPOCENSIS 69 TECHNICAL UNIVERSITY OF CLUJ-NAPOCA ACTA TECHNICA NAPOCENSIS Series: Appied Mathematics, Mechanics, and Engineering Vo. 60, Issue I, March, 07 CAD MODEL OF THE RTTRR MODULAR SMALL-SIZED SERIAL ROBOT

More information

Device handbook APLUS-TFT

Device handbook APLUS-TFT Device handbook APLUS-TFT Operating Instructions APLUS with TFT dispay 173 013-05 (PM 1000360 000 01) 04/2016 Camie Bauer Metrawatt AG Aargauerstrasse 7 CH-5610 Wohen / Switzerand Phone: +41 56 618 21

More information