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[ Team LiB ]

. CDC [32]

Let's start with the corresponding test case We add the following test toViewColorTest:

. Eulerian Cycle [34]

26. How are employees on leave handled (loans, etc.) 27. How are employees in default on loans handled 28. Do you provide an administrative procedures manual 29. What training will be provided for the plan sponsor s staff on administrative procedures 30. Can participant/plan data be transferred electronically Diskette Modem 31. Do you provide the plan sponsor with online computer access to your record keeping system Is access available at plan level, participant level, or both 32. Company ABC currently uses Peoplesoft for payroll services. Does your firm have experience with clients using this vendor If yes, please describe. How do you work with clients and their payroll services

that often present an increased vulnerability to node failure in certain key parts of the network, usually near the root of the tree (if they use a spanning tree) or near the BS. Additionally, these protocols may require signi cant communications or computation overhead for very large networks. It is necessary to clarify that not all the clustering algorithms and protocols that have been proposed using graph theory concepts are suitable for WSN. For example, in reference 13, the authors propose a technique where each cluster forms a clique. However, they do not select a CH that makes the protocol unfeasible for WSN. Additionally, their createClusters() function has a relatively large overhead of O(d 3 ), where d is the density of the network (number of nodes per area unit). A group of clustering protocols called self-elective protocols use the Node ID and Node Degree to select the CH. In reference 14, Gerla and Tsai proposed two weightbased clustering algorithms, where each vertex v selects the node with optimal weight within N(v) as CH. In the rst algorithm, the optimal vertex is the one with lowest node ID as shown in Figure 7.4. The neighborhood of the node selected as CH is the cluster. A node that can hear two or more CHs is a gateway or border node. In the second clustering algorithm, the highest-degree node in a neighborhood is selected as the optimal node to be the CH and the neighbors are covered by it (see Figure 7.5). Although the algorithm is expected to perform well on many randomly de ned graphs, it may not produce any CH for graphs that do not have any node with the highest number of neighbors (like interval graphs). Thus, the algorithm must be completed by adding nontrivial tie resolution rules.

public void testResultViewColorReset() throws Exception { viewgetListener()testsStarted(null, 0); viewgetListener()testFailed(null, "class", "method", "trace"); viewgetListener()testsFinished(null); Display display= viewgetControl()getDisplay(); Color red= displaygetSystemColor(SWTCOLOR_RED); assertEquals(red, viewgetControl()getBackground()); Color background= displaygetSystemColor( SWTCOLOR_WIDGET_BACKGROUND); changeWorkspace(); assertEquals(background, viewgetControl()getBackground()); } We simulate the messages broadcast when a test fails The view should be red Then we change the workspace and assert that the view color is reset We implement changeWorkspace() by adding and removing a project using theTestProject fixture

In references 15 and 16 the authors propose algorithms that control the size of each cluster and the number of hierarchical levels. However, these algorithms are not suitable for WSN, since they add a signi cant computation overhead to the nodes in the networks and incorrectly assume that the topology can be controlled and deployed in a regular organized basis. Additionally, they are unable to prevent two nodes that are just over one cluster radius apart from simultaneously electing themselves as CH, causing a large overlap in the network s clusters. This problem occurs suf ciently frequently to make the resultant cluster packing inef cient.

public void changeWorkspace() throws Exception { TestProject project= new TestProject(); projectcreatePackage("pack1"); projectdispose(); }

33 How do you integrate information back to the client s payroll system (ie, new loan, loan payoff, contribution rate changes) 34 Please list the forms that would be used in operating the Company ABC plans Please provide sample forms 35 Can transmissions, forms, checks, etc be consolidated for all plans with allocations to be determined by your system through formula or supporting data 36 What are the limits, if any, on the number of investment options, money sources, contribution changes, investment allocation changes, investment transfers, and loans 37 What is the cutoff time for same-day processing of transactions 38 Do you accommodate same-day trading for all funds If not, what would be the exceptions and what would be the trading periods 39 How does your system handle forfeitures Can they be allocated by location 40.

N(1)=1

N(2)=3

[ Team LiB ]

N(12)=3 N(11)=3 N(3)=3 12 (-1 outside (-1 outside the cluster) the cluster)

[ Team LiB ]