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tracking layers of data and elements is dynamic and subject to interpretation and legal determination Sometimes multiple government departments and agencies contract with the same supply chain for materials needed for surge capacity, for instance The chances are that all departments will call on the surge inventory at the same time Will the suppliers be able to respond to these multiple requests We suspect not, because from our direct experience we believe the process for accounting for materials in such events is awed as a result of the absence of smart data and smart data strategy Data Assets All assets are ultimately expressed, represented, and de ned as data Therefore it is imperative to be able to track and manage the disposition of data assets It is equally important to keep the system clear of extraneous data that is simply noise in the system All data that is in a system consumes resources to be processed, stored, and maintained Delinquent data, that which is not maintained, can dilute the system s scarce resources That is why Sid Adelman, Larissa Moss, and Majid Abai, authors of another book, Data Strategy, are consumed by the idea to rid the system of redundant data, for instance [15] While eliminating unnecessary redundancy may be a worthwhile pursuit, what are the other options and priorities that represent strategic focus It seems to us that a more direct strategy is necessary, such as knowing your data, tracking and protecting your data assets, and optimizing data transacting with your enterprise trading partners What Is the Work of Management From an executive perspective, managing the enterprise is all about the data Smart data will improve the enterprise via enterprise level data resource management with improved operational management re ected by more accurate and timely information, situational awareness, and decision making at all levels Enterprise management, executives, and operational management own the data Information technology and information system specialists provide enabling support Using the three-schema architectural view of data, there is (1) an external view and that is as seen by the end user and their applications and in our case that is the executive; (2) a conceptual view and that is from the system designer s view and independent of storage mechanisms; and (3) internal schema that describes how data is organized, stored, and manipulated independent of the application In our discussion about smart data, we traverse these different views and schemas but always with the executive view and the enterprise view assuming paramount importance For executives to receive the level of support they need from information technologists servicing a smart data strategy, they must know what they require, and this involves expecting data to be engineered with certain characteristics that make it smart, as well as expecting the infrastructure and services to be engineered to. asp.net pdf editor component [Solved] pdf editing API for Asp . Net and Vb - CodeProject
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CuteEditor - A powerful ASP . NET Wysiwyg Editor . ... This example demonstrates you can use Cute Editor to create industry standard PDF files on the fly. In the ... The next issue to consider is which particles to reinitialize Obviously, it will not be a good idea to reinitialize the global best particle! From the discussions above, a number of selection methods have already been identi ed Probabilistic methods decide which particles to reinitialize based on a user-de ned probability The convergence methods use speci c convergence criteria to identify particles for reinitialization For example, SOC PSO uses criticality measures (refer to Algorithm 1611), while others keep track of the improvement in particle tness Van den Bergh [863] proposed a random selection scheme, where a particle is reinitialized at each tr iteration (also refer to Algorithm 1610) This approach allows each particle to explore its current region before being reinitialized To ensure that the swarm will reach an equilibrium state, start with a large tr < ns , which decreases over time Algorithm 1610 Selection of Particles to Reinitialize; indicates the index of the global best particle Create and initialize an nx -dimensional PSO: S; sidx = 0; repeat if sidx = then Sxidx U (xmin , xmax ); end sidx = (sidx + 1) mod tr ; for each particle i = 1, , ns do if f (Sxi ) < f (Syi ) then Syi = Sx; end y if f (Syi ) < f (S ) then S = Syi ; y end end Update velocities; Update position; until stopping condition is true; Finally, how are particles reinitialized As mentioned earlier, velocities and/or positions can be reinitialized Most approaches that reinitialize velocities set each velocity component to a random value constrained by the maximum allowed velocity Venter and Sobieszczanski-Sobieski [874, 875] set the velocity vector to the cognitive component after reinitialization of position vectors Position vectors are usually initialized to a new position subject to boundary constraints; that is, xij (t + 1) U (xmin,j , xmax,j ) Clerc [133] reinitializes particles on the basis of estimates of the local shape of the objective function Clerc [135] also proposes alternatives, where a particle returns to its previous best position, and from. asp.net core pdf editor The C# PDF Library | Iron PDF
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