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PreparedStatement pstmt = null; String select = ""; ResultSet resultSet = null; conn = DriverManagergetConnection("jdbc:weblogic:jts:p2gPool"); select = "select od_p_name, od_p_size, od_dough, od_quantity " from order_detail where od_or_number = " ; pstmt = connprepareStatement(select); pstmtsetLong(1, orderNum); resultSet = pstmtexecuteQuery(); Pizza pizza = new Pizza( ) , javautilDate date = new javautilDate( ) ; while (resultSetnext( ) ) { pizzasetP_name(resultSetgetStringf"od_p_name")); pizzasetP_size(resultSetgetstring("od_p_size")); price += resultSetgetlnt("od_quantity") * pizzaServicesgetPrice(pizza, SystemgetProperty("jswlocation", "US"), date, resultSetgetString("od_dough")); } re sult Setcl ose )); pstmtclose();

nodes measure the quantities The measured quantities are then compared with the map prepared during the of ine phase The location that offers the best match is the estimated location This approach is typically used when using signal strengths to estimate the location 7225 Others In addition, there are other approaches, chief among them being the probabilistic approaches In this case, probability distributions are computed and the location is estimated based on the computed distributions This approach is also typically used in combination with signal strength measurement approaches 723 Attacks

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Then the order record is updated with the price of the order, the update is verified, and the bean that was created is removed:

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String insert = "update order_master set or_price = " + " where ( or_number = ) " ; pstmt = conn prepareStatement (insert) ; pstmt setFloat (1, Util format (price) ) ; pstmt setLong (2 , orderNum) ; pstmt execute ( ) ; int n = pstmt getUpdateCount (); if (n != 1) { throw new Exception ( "<E> OrderServicesSLBean:updatePrice: "+ "the price order could not be updated"); } pstmt close( ) ; conn close ( ) ; pizzaServices remove ();}

Once declared, vectors and matrices, and the resulting subscripted variables, can be freely used both in the experiment protocol3 and in DYNAMIC program segments DYNAMIC segments can assign time-variable expressions to array elements The program flags undeclared subscripted variables, vectors, or matrices as undefined Before subscripted variables x[i], y[i], or vectors x, y, can be used as state variables in differential equations (Section 1-2), the experiment-protocol script must declare one-dimensional state-variable arrays (state vectors) with a STATE declaration such as

We have seen several different techniques for the ranging as well as the computation phases of localization It is clear at this point that the various ranging schemes have several vulnerabilities associated with them We summarize the various properties of the different ranging schemes and their associated vulnerabilities in Table 71 It is possible to address some of these vulnerabilities through cryptography while the other vulnerabilities would need additional tools We see from this table that it is possible to modify

The code of this method finishes with a careful handling of possible errors:

catch (Exception e) { System err println(e) ; try { if (pizzaServices != null) pizzaServices remove (); } catch (Exception ex) { throw new P2GException (ex toString ()); } try { conn close ( ) ; } catch (SQLException se) { throw new P2GException (se toString ());

STATE x[n], y[m],

try { price = Utilformat(price); } catch(ParseException pel { throw new P2GException(UtilgetStackTraceAsString(pe); } return price; }

Scalar state variables need not be declared, unless they are to be used in submodels (Section 3-17) or in more than one DYNAMIC program segment 3-2 Vector Operations in DYNAMIC Program Segments The Vectorizing Compiler

The deliverOrder () method is used to assemble the final order and update the inventory: /**

TABLE 71 Properties of Various Algorithms and Vulnerabilities of These Properties Property One-way RF time-of- ight Example Algoritms GPS Attack Threats Distance enlargement by delaying transmission of response message, by removing direct path and using multipath, false position reports and position spoo ng with GPS Distance reduction possible in restricted conditions Distance enlargement and reduction by removing direct path, by having a different node reply Distance enlargement and reduction by exploiting difference in propagation speeds Distance enlargement and reduction by removing direct path, by changing propagation loss model, by changing ambient channel noise, by changing transmission powers Distance enlargement and reduction by removing direct path and using multipath, by changing signal arrival angle Distance enlargement and reduction by modifying time synchronization Distance enlargement and reduction by jamming, by forming wormholes, by manipulating the radio range, by physically removing/displacing nodes Distance enlargement and reduction by jamming, enlarging radio region, replaying, moving locators Distance enlargement and reduction by forming wormholes, by jamming

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