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Transaction attributes also define the scope of a transaction Transaction attributes can be applied toward individual methods of an enterprise bean or toward the entire bean One thing that can affect how you assign transaction attributes is the behavior of the client that will be calling the EJB A client that calls a method of the EJB may or may not have a transaction in progress when it calls the method As an EJB developer, you may or may not decide to require that a caller of a method of your EJB must have a transaction already in progress You may decide to make things easier for the users and have the EJB container start the transaction automatically Before continuing, let's briefly touch on how transaction attributes relate to the client.

Global navigation satellite systems (GNSS), such as GPS, have been increasingly used in real-time tracking of vehicles Especially when GPS is integrated with increasingly powerful geographic information system (GIS) technologies, the accuracy and reliability of low-cost stand-alone GPS receivers can be signi cantly improved to meet the technical requirements of various transportation applications of GPS, such as vehicle navigation, eet management, route tracking, vehicle arrival/schedule information systems (bus/train) and on-demand travel information With the autonomous European Satellite Navigations System Galileo, expected in 2008, an opportunity of a joint system GPS + Galileo with more than 50 satellites will provide many advantages for civil users, in terms of availability, reliability and accuracy However, severe multipath effects will continue to be a problem in dense urban areas.

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A client is usually defined as a single process or thread of execution that makes a request of a resource, presumably within a single transaction However, in the case of EJBs, the client can be another EJB that may or may not already 600.

Pink baseplate wax is preferred for the interocclusal record. It can be warmed over a ame, under running hot water, or in a waterbath. I fold it in fourths and cut it with a pair of scissors or alginate spatula in the shape of a trapezoid (Figure 12.4). The wax should be soft enough that it does not provide any resistance as the patient closes into it. If a practitioner would like the wax to adhere temporarily to the maxillary teeth during the interocclusal record, the teeth can be dried with gauze. Manipulate the mandible into the planned condylar position. Ask the patient to open approximately 10 mm, align the trimmed baseplate wax, and ask the patient to close slowly into the wax. Ask the patient to stop closing as soon as indentations are satisfactory to provide a stable mounting for the casts (Figure 12.5).

To date, there have been many attempts to improve the reliability of vehicle positioning through the fusion of observations obtained by the integration of various positioning and navigation instruments The vast majority of such systems use a GNSS, for absolute positioning, and a variety of other sensors to provide relative positioning The usual model is to use GPS to position a vehicle whenever possible together with some form of inertial navigation system (INS) or dead reckoning (DR) system, such as odometer, gyro and compass, to determine a vehicle s position relative to an initial position Kealy et al [1999] and Ramjattan and Cross [1995] describe a typical solution, integrating GNSS and DR using a Kalman ltering technique In this experiment a test route for the system was established in the centre of Perth, Western Australia.

It is possible that your candidate has more than one degree from the same school. You can group elements to expand your options in specifying the number of degrees. Here's how you'd specify that a candidate can have one or more degrees from the same school:

The results of this work found that DGPS/DR solution starts to degrade from 1 m to errors as much as 35 m by the end of a 10 minute period [Kealy et al, 1999] Kalman ltering techniques do have an inherent problem, for vehicle navigation, on road networks, in terms of stability, computational load, immunity from noise effects and observability [Chiang et al, 2002] The performance of the lter is heavily dependent on the models used The model used is a compromise between a statistical predictive dynamic model and the measurement (observation) model If too much weight is given to the dynamic model, an overly smooth track is the result, ie rapid changes of direction are not recognized quickly enough If too much weight is given to the measurement model, errors would be construed as sharp changes in direction.

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