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TInt CRSmsMsg::SendSmsL(TConnBuff &aBuffer) { iSmsMtm->SwitchCurrentEntryL(KMsvGlobalOutBoxIndexEntryId); iSmsMtm->CreateMessageL(iSmsMtm->ServiceId()); TMsvEntry newEntry = iSmsMtm->Entry().Entry(); TInt bodyLen = CConnPack::PeekUint16L(aBuffer); HBufC* bodyBuff = HBufC::NewLC(bodyLen); TPtr tempPtr(bodyBuff->Des()); CConnPack::ReadASCIIDataL(tempPtr, aBuffer); CRichText& mtmBody = iSmsMtm->Body(); mtmBody.Reset(); mtmBody.InsertL(0,tempPtr); // Set the description from the first 32 chars of the body TBuf<KMaxDescriptionLength> description; if (bodyLen > 32) bodyLen = 32; tempPtr.SetLength(bodyLen); description.Copy(tempPtr); newEntry.iDescription.Set(description); CleanupStack::PopAndDestroy(bodyBuff);

The steeper curve is that for a nine-game series Now suppose we want P(A wins the series) to be some high probability, say 095 This requires that the graph, such as one given in Figure 64, should pass through the point (p, 095) for some value of n Suppose again that p is the probability that A wins an individual game and that p > 05 How many games should be played To solve this in theory, put P(A wins the series) = 095 and solve the resulting equation for n The equation to be solved is then

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In the last couple of years, we have witnessed a change of focus in the area of ontologies and ontology-based information systems: while the application of ontologies was restricted for a long time to academia projects, in the last 10 years ontologies have become increasingly relevant for commercial applications as well A rst prerequisite for the successful introduction of ontologies in the latter setting is the availability of proved and tested Ontology Engineering methodologies, which break down the complexity of typical engineering processes and offer guidelines to monitor them Although existing methodologies have already proven to ful ll these requirements for a number of application scenarios, open issues remain to be researched in order for the methodologies to be applicable more widely With the DILIGENT methodology, we tackle some of these open issues and propose a methodology which allows continuous improvement of the underlying ontology in decentralized settings.

The other information that we supply from the PC is the phone number to which the message is addressed. We could use the Recipients member of the CSmsHeader class as we did when reading an SMS message, but, in fact, we can use the simpler API from the CBaseMtm

(n 1)/2

p(n+1)/2

Moreover we offer more ne-grained support to enhance the agreement process with an argumentation framework However, the methodology is still under development and will be further developed to cover more aspects of the ontology engineering process For example, the integration of ontology learning methods to automate the ontology building process (see open issue 7) is already covered in general by DILIGENT However, due to the quality of the results of current ontology learning methods, this initial proposal is not suf cient and a more ne-grained process model is under development A more ne-grained support for the evaluation of ontologies is being integrated into the methodology Criteria to identify proper ontology evaluation schemes and tools for a more automatic appliance of such evaluation techniques are being developed within the DILIGENT methodology These take into account the whole range of evaluation methods from philosophical notions (Volker et al.

// Read and set addressees TInt addressCount = CConnPack::ReadUint16L(aBuffer); for(TInt i = 0 ; i <addressCount ; i++) { TInt addressLen = CConnPack::PeekUint16L(aBuffer); HBufC* addressBuff = HBufC::NewLC(addressLen); TPtr addTempPtr(addressBuff->Des()); CConnPack::ReadUNCDataL(addTempPtr, aBuffer); iSmsMtm->AddAddresseeL(addTempPtr); // Set detail as first recipient address if(i==0) { TBuf<KMaxDetailLength> detail; if(addressLen > KMaxDetailLength) { addTempPtr.SetLength(KMaxDetailLength); } detail.Copy(addTempPtr); newEntry.iDetails.Set(detail); } CleanupStack::PopAndDestroy(addressBuff); }

where we know p and q This cannot be done exactly So, we de ned a function h[p, n] as follows:

, 2005) to logical satis ability (Gomez-Perez et al, 2003) We are currently integrating the process model into a knowledge management business process (see open issue 9) Regarding the estimation of costs incurred by the ontology building process (see open issue 10) a parametric cost estimation model is under development, which will be applied for our methodology In the course of several projects in which our methodology is being applied, we will capture experiences and describe best practices (see open issue 6)..

The nal part of creating the draft message is to set the SMS Service Center and the SMS service settings. These can just be set to the default values currently set in the SMS MTM, but they must be set. We also set some of the attributes of the TMsvEntry the message timestamp and others.

(n 1)/2

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