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In this project, we are going to build a circuit that will provide a supply capable of powering either a cellphone or PDA charger A PDA is about the limit of what you can charge using small cells, a laptop charger is probably a bit ambitious One of the problems with trying to build this circuit is that finding a suitable connector for many mobile phones is a real problem While Nokia makes life easy by providing a simple jack that can be readily obtained from many component suppliers, many other manufacturers rely on proprietary connectors which are nonstandard and awkward to source For this reason, we have based this project on hacking a cellphone car charger There are two schematics here for projects that tackle the project from slightly different angles.

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Sometimes a business avoided taking measurements because doing so required excessive effort and resources. The data collected were unreliable, and no one analyzed and acted upon the data. The economy of measurements must be maintained and balanced against the available resources for data collection and analysis. How many measurements one company has is not important; instead, how many measurements a company effectively utilizes is what counts. When you are implementing the

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The first method involves creating a solar array that will provide above 12 V regulating this supply to 12 V, and charging the device via a hacked car charger (Figure 13-4) The other device is suitable for where a USB type charger is available this is ideal for USB mp3 players, PDAs and mobile phones, most of which now come with a data lead We have an array of solar cells, which charges a couple of batteries when there is spare power; a voltage regulator then turns this into a clean 5 V, which can be used to drive the device (Figure 13-5) The advantage of this circuit is that even if there is not a lot of sun or it is night-time, you can pop a couple of freshly charged batteries in (maybe from your solar charger ) and things will start working.

Six Sigma Business Scorecard, planning for data collection is one of the more important activities The format, methods, and tools used for data collection must be planned carefully to reduce the cost of data collection Good data collection has several attributes The data must be easily retrievable and usable Their integrity must be preserved, and damage must be prevented, through proper backups and a data recovery plan The data analysis methods must include a graphical display of the data in usable format as well as identifying action items and communication methods Communicating with employees about performance levels and trends is a major aspect of performance improvement Employees achieve what is expected of them Clear communication with employees reduces the gap between the as is and the should be performance levels.

Figure 16.14 Waste group comparison of the average solid waste per company versus the regression coef cient for ISO 14001 certi cation.

groups generate Bonferroni paired t-tests were conducted to examine if each pair of waste groups generated signi cantly different amounts of waste at the 95 percent con dence level First, a single regression equation for the eight waste groups explained by three signi cant variables was developed and is displayed below: Annual waste (tons) = 661(number of employees) 256(land ll disposal cost/ton) 11614(ISO 14001 certi cation) Figure 1615 shows the results for the regression equation developed consolidating all eight manufacturing companies into one group As shown from the ANOVA table in Fig 1615, based on the F-statistic a relationship was established (F = 1682) Examining the t statistics for each independent variable indicates only the number of employees was signi cant at the 95 percent con dence level (t = 2345).

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