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where M is the expected rate of return of the market portfolio, = / M is the beta (sensitivity) coef cient, is the correlation coef cient between the return on the rm s assets and the market portfolio, and M is the volatility of the rate of return on the market portfolio. Using the de nition for the beta coef cient, we have

1. Abramson Y, Freund Y. Active Learning for Visual Object Recognition. Forthcoming. 2. Burghardt T, Calic J. Analysing animal behaviour in wildlife videos using face detection and tracking. IEE Proc Vision, Image Signal Proces. Special issue on the Integration of Knowledge, Semantics and Digital Media Technology; March 2005. 3. Bartlett MS, Littlewort G, Fasel I, Movellan JR. Real-time face detection and expression recognition: development and application to human-computer interaction. CVPR Workshop on Computer Vision and Pattern Recognition for Human Computer Interaction, IEEE CVPR; Madison, Wi; 2003 June 17. 4. Barreto J, Menezes P, Dias J. Human robot interaction based on Haar-like features and eigenfaces. Proceedings of the New Orleans International Conference on Robotics and Automation; 2004. p 1888 1893. 5. Burghardt T, Thomas B, Barham P, Calic J. Automated visual recognition of individual african penguins. Proceedings of the Fifth International Penguin Conference; Ushuaia, Tierra del Fuego, Argentina; September 2004. 6. Cristinacce D, Cootes T. Facial feature detection using AdaBoost with shape constraints. Proceedings of 14th BMVA British Machine Vision Conference; Volume 1; Norwich, UK; September 2003. p 231 240, 7. Efford N. Digital Image Processing: A Practical Introduction Using Java. Addison Wesley; 2000. 8. Freund Y, Schapire RE. A decision-theoretic generalization on on-line learning and an application to boosting. Proceedings of the 2nd European Conference on Computational Learning Theory (Eurocolt95); Barcelona, Spain; 1995. p 23 37. J Comput Syst Sci 1997;55(1):119 139. 9. Freund Y, Schapire RE. A short introduction to boosting. J J Soc Artif Intell 1999;14(5): 771 780.

Servlets carry out their specialised operations via interfaces such as Java Database Connectivity, JDBC, (for databases) and Remote Method Invocation, RMI, (for running remote processes, or methods as they are referred to in the object-oriented model that is used). RMI performs somewhat similar functions to CORBA; its object oriented approach allows objects on remote servers to be called up and interacted with, via stubs (client-side interface instructions for the remote object) and skeletons (server-side controls for invoking the object and passing parameters to it), similar to CORBA IDL stubs. Java also possesses a Java Native Interface, JNI, which allows C and C11 code to be integrated into Java programs. This is a convenient way of integrating legacy programs into a Java environment, but only if they have C or C11 interfaces. Where this is not the case, one solution is to use CORBA as a middleware between Enterprise JAVA and the legacy application. This can be used, for example to integrate large COBOL programs and enterprise Java applications [52].

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where E0 is the standard emf of cell (IX) and Ej the LJP at junction (k ). Here, cell k E' ell is defined by c

WAAS enhances the GPS SPS and is available over a wide geographical area. The WAAS being developed by the Federal Aviation Administration, together with other agencies, will provide WADGPS corrections, additional ranging signals from geostationary (GEO) satellites, and integrity data on the GPS and GEO satellites [81]. The GEO Uplink Subsytem includes a closed-loop control algorithm and special signal generator hardware. These ensure that the downlink signal to the users is controlled adequately to be used as a ranging source to supplement the GPS satellites in view. The primary mission of WAAS is to provide a means for air navigation for all phases of ight in the National Airspace System (NAS) from departure, en route, arrival, and through approach. GPS augmented by WAAS offers the capability for both nonprecision approach (NPA) and precision approach (PA) within a speci c service volume. A secondary mission of the WAAS is to provide a WAAS network time (WNT) offset between the WNT and Coordinated Universal Time (UTC) for nonnavigation users. WAAS provides improved en route navigation and PA capability to WAAS certi ed avionics. The safety critical WAAS system consists of the equipment and