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Cause them to set their cell phones down and pay attention to you because youve done something unexpected. This will make you a better storyteller. My experience is that people dont think of themselves as good storytellers. The idea alone tends to trip people up simply because you arent sure what kind of story to share. This may surprise you, but Its easy to decide what kind of story to tell when you begin with the outcome in mind. The first question you want to ask yourself has to do with the goal. 1. What is your ultimate goal with the story?2. Who is the intended audience?3. How will you cause an emotional response in the reader/listener of your story?4. What unexpected twist can you add or highlight in the story?5.

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The risk of vehicular crashes and road departures are reportedly nine to twenty times higher on slippery pavements . To reduce the tragic numbers, drivers should be informed of the slippery spots on the road ahead and road managers are required to promptly remove the slippery spots, which emphasizes the need for quick detection of slippery spots on the road. For that, road weather sensors have been conventionally employed . However, as the sensors can only detect an icy point at the road location of the sensor, its utility could be restricted, given that road slipperiness varies even in a short roadway section . Recently, as a growing number of fleets such as trucks, buses, taxis, rental cars, patrol cars, and maintenance cars are getting connected for their own purposes, an innovative approach to identifying slippery spots on the road through processing in vehicle sensors is attracting interest worldwide. In this study, a wheel slip based approach to detect road slipperiness is explored. On slippery surfaces, vehicular wheels are prone to skid, which makes wheel rotational and vehicle transitional speeds prominently different from each other. This phenomenon can be discerned by wheel speed and GPS sensors that are available in cars carrying commonly available devices: smartphones, digital tachographs, and on board units for diverse ITS projects. Due to the characteristics of tires made of rubber, some discrepancies of the two speeds essentially arise for vehicles to move and stop. Hence, finding optimal thresholds of the differences in both speeds that separate skidding from non skidding under different vehicle dynamic conditions is a principal concern for this study. The approach suggested in this study has advantages in three aspects: 1 it can be implemented without resorting to sophisticated systems, such as antilock braking and/or traction control systems TCS that car manufacturers have normally proprietary rights to; 2 it can be easily applied to any location based services LBS devices enumerated above that include GPS and can obtain wheel speed data from the vehicles controller area network bus; and 3 it can provide reliable and spatially seamless slippery information on a wide area road network when applied to any of the fleets mentioned above, thanks to a systematic analysis on data aggregated from multiple vehicles.

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3 the MinSpareServers, MaxSpareServers, and StartServers settings all had drastic effects on benchmark results. In particular, Apache required a "ramp up" period in order to reach a number of children sufficient to serve the load being applied. After the initial spawning of StartServers children, only one child per second would be created to satisfy the MinSpareServers setting. So a server being accessed by 100 simultaneous clients, using the default StartServers of 5 would take on the order of 95 seconds to spawn enough children to handle the load. This works fine in practice on real life servers because they aren't restarted frequently. But it does really poorly on benchmarks which might only run for ten minutes.