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O'Reilly Network Safari Bookshelf Jini Specifications, The, Second Edition Notification is taken over by the store and forward agent This agent will now consult the list of entities that have registered interest in the occurrence of an event and send a notification to those entities Note that these might not be the same as the objects that registered interest in the event; the object that should receive the event notification is specified during the event interest registration The store and forward agent might be able to make use of network level multicast (assuming that the RemoteEvent object to be returned is identical for multiple recipients of the notify call), or might send a separate notification to each of the entities that have registered interest Different store and forward agents could implement different levels of service, from a simple agent that sends a notification and doesn't care whether the notification is actually delivered (for example, one that simply caught RemoteExceptions and discards them) to agents that will repeatedly try to send the notification, perhaps using different fallback strategies, until the notification is known to be successful or some number of tries have been attempted The store and forward agent does not need to know anything about the kinds of events that are triggering the notifications that it stores and forwards All that is needed is that the agent implement the RemoteEventListener interface and some interface that allows the object producing the initial notification to register with the agent This combination of interfaces allows such a service to be offered to any number of different objects without having to know anything about the possible changes in abstract state that might be of interest in those objects Note that the interface used by the object generating the original notifications to register with the store and forward agent does not need to be standard Different qualities of service concerning the elivery of notifications may require different registration protocols Whether or not the relationship between the notification originator and the store and forward agent is leased or not is also up to the implementation of the agent If the relationship is leased, lease renewal requests would need to be forwarded to the agent In fact, an expected pattern of implementation would be to place a store and forward agent on every machine on which objects were running that could produce events This agent, which could be running in a separate JVM (on hardware that supported multiple processes) could off load the notification generating objects from the need to send those notifications to all objects that had registered interest It would also allow for consistent handling of delivery guarantees across all objects on a particular machine Since the store and forward agent is on the same machine as the objects using the agent, the possibilities of partial failure brought about by network problems (which wouldn't affect communication between objects on the same machine) and server machine failure (which would induce total, rather than partial, failure in this case) are limited This allows the reliability of notifications to be off loaded to these agents instead of being a problem that needs to be solved by all of the objects using the notification interfaces A store and forward agent does require an interface that allows the agent to know what notifications it is supposed to send, the destinations of those notifications, and on whose behalf those notifications are being sent Since it is the store and forward agent that is directing notification calls to the individual recipients, the agent will also need to hold the Object (if any) that was passed in during interest registration to be returned as part of the RemoteEvent object In addition, the store and forward agent could be the issuer of Lease objects to the object registering interest in some event This could offload any lease renewal calls from the original recipient of the registration call, which would need to know only when there were no more interest registrations of a particular event kind remaining in the store and forward agent EV32 Notification Filters Similar to a store and forward agent is a notification filter, which can be used by either the generator of a notification or the recipient to intercept notification calls, do processing on those calls, and act in accord with that processing (perhaps forwarding the notification, or even generating new notifications). no such module swiftocr: What are some available free OCR APIs (iOS/Android/REST) for scanning receipts? ... 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Make European Article Number 13 In Visual Studio .NET Using Barcode generator for .NET .Related: The personal best position is excluded from the velocity equation, since a hill-climbing procedure is followed where a particle s position is only updated if the new position results in improved performance Let the tuple (w, c1 , c2 ) represent the values of the inertia weight, w, and acceleration coe cients c1 and c2 Particles that nd themselves in phase 1 exhibit an attraction towards the global best position, which is achieved by setting (w, c1 , c2 ) = (1, 1, 1) Particles in phase 2 have (w, c1 , c2 ) = (1, 1, 1), forcing them to move away from the global best position Sub-swarms witch phases either when the number of iterations in the current phase exceeds a user speci ed threshold, or when particles in any phase show no improvement in tness during a userspeci ed number of consecutive iterations In addition to the velocity update as given in equation (1676), velocity vectors are periodically initialized to new random vectors Care should be taken with this process, not to reinitialize velocities when a good solution is found, since it may pull particles out of this good optimum To make sure that this does not happen, particle velocities can be reinitialized based on a reinitialization probability This probability starts with a large value that decreases over time This approach ensures large diversity in the initial steps of the algorithm, emphasizing exploration, while exploitation is favored in the later steps of the search Cooperation between the subgroups is achieved through the selection of the global best particle, which is the best position found by all the particles in both sub-swarms Particle positions are not updated using the standard position update equation Instead, a hill-climbing process is followed to ensure that the tness of a particle is monotonically decreasing (increasing) in the case of a minimization (maximization) problem The position vector is updated by randomly selecting consecutive components from the velocity vector and adding these velocity components to the corresponding position components If no improvement is obtained for any subset of consecutive components, the position vector does not change If an improvement is obtained, the corresponding position vector is accepted The value of changes for each particle, since it is randomly selected, with U (1, max ), with max initially small, increasing to a maximum of nx (the dimension of particles) The attractive and repulsive PSO (ARPSO) developed by Riget and Vesterstr m [729, 730, 877] follows a similar process where the entire swarm alternates between an attraction and repulsion phase The di erence between the MPPSO and ARPSO lies in the velocity equation, in that there are no explicit sub-swarms in ARPSO, and ARPSO uses information from the environment to switch between phases While. 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Consequently, they deal solely with the system kinematics and ignore its dynamic properties ne reason for this state of affairs is that the methods of motion planning tend to rely on tools from geometry and topology, which are not easily connected to the tools common to control theory Although system dynamics and sensor-based motion control are clearly tightly coupled in many, if not most, real-world systems, little attention has been paid to this connection in the literature The robot is a body; it has a mass and dimensions Once it starts moving, it acquires velocity and acceleration Its dynamics may now prevent it from making sharp, and sometimes even relatively shallow, turns prescribed by the planning algorithm A sharp turn reasonable from the standpoint of reaching the target position may not be physically realizable because of the robot s inertia In control theory terminology, this is a nonholonomic system [78]. 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