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14. Open a sketch on the horizontal face of the rib that is 0.3 inch above the Origin, as shown on the left side of Figure 32.33, and create the sketch shown on the right side of Figure 32.33. 15. Create another Rib. This time use the Perpendicular to Sketch (plan view) option. The thickness is again 0.075 inch at the base with 1 degree of draft. The part at this point should look like Figure 32.35.

Figure 13.6: This PeopleMetrics report shows Participant Pi was a party pooper and almost everybody was willing to post to Topic #1 on the first day. QUIQ, Incorporated (www.quiq.com) takes things a step further. Rather than looking at a threaded discussion merely as a way to run an online focus group, they saw companies using it for customer self-service as well. How, then, can you manage and measure the effectiveness of that self-service Carrie Alston, director of World Wide Customer Care at Compaq, handles the operation of customer service tools on a daily basis. When she looked at QUIQ's tools she was enthused, but skeptical. She wasn't willing to jeopardize support quality just for a new piece of software. "We need to continue ensuring great turnaround times for new questions. It's important that this is a true support application, not a casual community." QUIQ offers up a "three-shield" model. First, customers get served from the existing knowledge base. If this doesn't help, the customer can post a new question to all other participating customers. If nobody responds fast enough, questions are brought to the attention of backup Compaq support personnel. "In the beginning, we were overly conservative," Alston admits. "We had a hard time trusting the user base to provide answers within our timeframe, so we escalated unanswered questions after 4 hours. That's why we initially deployed a large pool of 15 backup Compaq resources. QUIQ did a great job in delivering reporting evidence that convinced us to realize the full potential of its cost efficiencies. Today, over 60 percent of all answers come from the customer base at an average turnaround time of 4 hours [see Figure 13.7]."

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Many managers have said to us, The vision sounds great, but how can I use it, and why should I invest in it Because this is the billion-dollar question, this section is the focus of this chapter.

In the case that the admissible outage is given, we can compute the corresponding from cdf ( ), and insert this value into the capacity equation to obtain the outage capacity. From this example, we see that there are channel constellations at which the capacity vanishes. Thus, it is not possible to guarantee a zero-outage transmission.

Knowledge representation (KR) language (Ontology Language) level: Meta level to the ontology concept level Ontology concept (OC) level: Object level to the KR language level, meta level to the instance level Ontology instance (OI) level: Object level to the ontology concept level

(10.3.4)

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time, whereas FHSS uses only a portion of the band at a time In an FHSS/CDMA system, each user employs a different hopping pattern; in this system, interference occurs when two different users land on the same hop frequency If the codes are random and independent of one another, the hits will occur with some calculable probability If the codes are synchronized and the hopping patterns selected so that two users never hop to the same frequency at the same time, multiple-user interference is eliminated The number of users in this case is limited by the number of frequency slots This type of FHSS/CDMA scheme is equivalent to TDMA/FDMA with hopping of the center frequency, and it can be referred to as FH/TDMA 1021 FHSS in Frequency-Selective Fading As is the case with DSSS transmission, FHSS transmission is also resistant to frequencyselective fading.

was rising steadily. He also found that the correlation of 13 different hedge fund strategies had increased signi cantly between 1994 and 2000. This increased correlation was likely driven by the rapid ow of capital into hedge funds during this period, making differentiation of strategies ever more dif cult as market positions increased in size. Therefore, it seems likely that, during October and November of 2008, hedge funds were heavy sellers of the liquid stocks in their portfolios in order to meet collateral obligations and investor redemptions.

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