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AS4C128M8D2-25BIN_Datasheet PDF

发帖时间:2021-06-15 01:44:59

Now, SiS appears to have dropped support for Rambus, too. The better timing was the end of last year, but we missed that window. Now everybody is talking about PCI Express,” said Hank Lee, a chip set project manager at SiS.

AS4C128M8D2-25BIN_Datasheet PDF

Last year, we wrote about categorization engines from Banter, Island Data and JeevesOne. These are now, respectively, the property of iPhrase (Cambridge, MA), LivePerson (New York, NY) and Kanisa.

This is no accident. As categorization becomes a component of KM, the practice of KM matures from searching to defining which methods of work best for which types of questions. Example: Kanisa's Kanisa5.5 lets you determine which inquiries from customers lend themselves best to conversations with agents, and which simply ought to trigger software patches.

A common complaint among customers is that they have to get in touch with a call center multiple times when they don't get the answers they need from the first agents they've communicated with. Often, the frustration results from having to repeat the same conversation or correspondence with a second or third agent.

AS4C128M8D2-25BIN_Datasheet PDF

How do you prevent this? Sometimes you know that information in a customer's record may help to answer specific questions, such as when a customer requests support for a product that requires an upgrade. With Kanisa5.5, you can create a rule where all questions about that product automatically pull up relevant data from your customer support or order management system. Rather than requiring the support rep to ask what version of a product the customer has, Kanisa5.5 presents that information to the rep.

Kanisa5.5 also provides reports to verify whether the processes you've set up work efficiently. These include a report about efficacy, which indicates if an agent could have looked up an item in your knowledge base to answer a customer's question, yet chose to refer the question to another colleague. If the answers reside in your knowledge base, but agents can't find them, then agents may need more training.

AS4C128M8D2-25BIN_Datasheet PDF

The software also reports on items that customers and agents view least often, as well as items that receive the most negative or least positive feedback from customers. In addition, Kanisa5.5 lets you link customers' most common questions or problems with the corresponding products or processes where these inquiries most often come up. In this way, you can establish whether a barrage of questions about on-line bill payments reflects a one-time glitch or a longstanding but previously undetected problem with your billing system.

In some industries, like telecom, technical support and financial services, you can expect to receive certain questions on a regular basis. Kanisa's software can automatically recognize questions as specific to these industries. Other tools, like Kana's (Menlo Park, CA) Kana IQ 8 also categorize questions that call centers within businesses like wireless carriers and banks typically encounter. Kana IQ 8 lets you associate a question with a method of resolution.

The many sensor types and configurations available give rise to many different CMRR requirements. One important group of sensors is the bridge type used to measure force, pressure, weight, etc. For bridge sensors, the output is fed to the input of a differential amplifier, which amplifies and transforms it into a ground-referred output signal. That signal should be a function of the variable to be measured only, and not of the sensor excitation voltage. Because the bridge configuration applies a large fraction (usually half) of the excitation in common mode to the sensor amplifier, the rejection of any change in the excitation depends on the amplifier CMRR.

The bridge topology is also used for opposition voltage measurements (potentiometer or potentiometric applications). In this application a differential amplifier serves as a null detector or zero indicator. Poor amplifier CMRR can cause error in the zero indicated by the instrument, as a function of the instrument operating point (an undesirable situation).

Another common application that demands good CMRR is a system with significant distance between the sensor and the signal-processing electronics. That can occur when the sensor environment is hostile to the instrumentation (a thermocouple measuring high temperature, for example). CMRR is necessary to reject common-mode noise picked up by the connection cables or coming in as a ground difference.

Audio systems have the same problems with common-mode interference in the connections among microphones, amplifiers and distribution lines as do instrumentation or biomedical systems. The traditional solution allowed by the frequency range of audio systems has been that of high-quality transformers and special cabling, rather than differential amplifiers.

In a comparator, the effect of low CMRR appears as an offset induced by common-mode voltage in series with the inputs. The discrimination level at which the device switches (ideally at the point of zero-volt difference between the inputs) varies as a function of the common-mode noise voltage present. For data-line receivers it appears as uncertainty of amplitude and timing in the discrimination between ones and zeroes, which is detectable as an increase in the effective bit error rate (BER).

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