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Although the sales revenue and net income are the same for each restaurant, the structure of their costs is different, and this will affect the decision of which one could be more profitable. The restaurant chain that wishes to take over either A or B is optimistic about the future. It believes that, without any change in fixed costs, it can increase annual sales revenue by 10 percent. What effects will this have on the net income of A and B Net income will not increase for each restaurant by the same amount. Restaurant A s variable cost is 50 percent. This means that, out of each dollar of additional sales revenue, it will have variable expenses of $0.50 and a net income of $0.50 (fixed costs do not increase). Restaurant B has variable costs of 30 percent, or $0.30 out of each revenue dollar, leaving a net income of $0.70 from each dollar of extra sales revenue (again, fixed costs do not change). Assuming a 10 percent increase in sales revenue and no new fixed costs, the income statements of the two restaurants have been recalculated in Exhibit 7.2. Note that Restaurant A s net income has gone up by $50,000 (to $150,000), but Restaurant B s has gone up by $70,000 (to $170,000). In this situation, Restaurant B would be the better investment. A company that has high fixed costs relative to variable costs is said to have high operating leverage. From a net income point of view, it will do better in times of rising sales revenue than will a company with low operating leverage

Here is a general overview of the steps required to connect a router to a highspeed Internet connection (also known as a broadband connection):

The catering company and its facilities can handle only one function per day, and operates with a variable cost of 60 percent of total sales revenue. The company was approached by an organization wanting to sponsor a lunch for 60 people next week but can only pay $10.00 per person. Normally, this catering company would not consider handling a group luncheon this small; however, on this occasion the catering company does not see any likelihood of booking a

As useful as the Healing brush is, I prefer to use the Patch tool for a large percentage of my retouching. The Patch tool is stacked with the Healing brush and the Spot Healing brush, and it works in a very similar way. The main difference is in the way image information is sampled and applied. This tool uses a selection instead of a brush. A selection is drawn and then dragged to the area to be sampled. When the mouse button is released, the sampled information fills the original selection and blends it in the same way as the Healing brush does. Let s see how this tool works:

sending a single packet to the sink All the sensors within the region share a common schedule of which border node to be the data aggregator during each round of reporting The schedule is determined by a deterministic function of the costs to reach the sink from all border nodes Sensors with a longer distance to the designated aggregator send their reports earlier and the readings are concatenated in a single packet to eliminate redundant headers The data communication process is shown in Figure 1511(b) After receiving reports from all the sensors within the region, the designated border node further compresses the data by applying a coding technique based on ordering DFuse [46] is a distributed data-fusion framework especially designed for video streaming applications The framework provides the exibility of data fusion in two aspects.

di( / ) v( / ) = L d/

First, a layer of fusion modules provides a set of data-fusion functions for an application to manage video streams Second, the role of a node (a sink, a relay, or a fusion point) is determined in a distributed way based on the given cost function Baek et al [47] study optimal data-fusion strategies regarding the order of fusion and the organization of fusion devices under two scenarios: networks with a single sink and those with multiple sinks In the case of a single sink, all sensors send their nonredundant data to the sink The optimal fusion strategy is to determine the order of compression at each node, so as to minimize the overall energy consumption while faithfully disseminating the data from all sensors to the sink.

According to the Slepian Wolf theorem [40], the sum of rates for any subset of sensors is lower bounded by the conditional entropy, given that the sink has known the data of the set of rest sensors The optimal solution can be found using a greedy algorithm The sensor to reach the sink rst with the least communication cost transmits its data without compression to the sink Then, in the increasing order of communication costs to reach the sink, sensors sequentially disseminate their compressed data, given the known side information at the sink Surprisingly, the optimal solution is independent of the correlation structure of the data, and simply relies on the topology of the network For instance, the optimal fusion strategy for the sink S in the region consisting of nodes A, B, and C shown in Figure 15.

12 is: rst S retrieves the full information of node A, H(A), following by H(BjA), and H(CjA, B) sequentially In the case of multiple sinks, a three-level hierarchical architecture that includes sensors, compressors, and sinks is considered Both compressors and sinks can aggregate data from sensors with a compression ratio a (0 , a , 1) All the compressed data are destined for any one of the sinks Therefore, a sensor transmits.

Most Sony laptops include iLink digital video ports. Find out about the latest Sony computers, monitors, and digital camcorders or professional video equipment.