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wedge into the process because IS will be perceived as threatening the jobs and status quo of the business. The biggest factor for the success of a reengineering project is the human factor. People do not like change its part of human nature. A grass roots buy-in and enthusiasm will be difficult to get and sustain throughout a difficult and personally risky effort like this. Jobs will be threatened, and the status quo disrupted. Pecking orders will be torn down, new jobs will be created, and reporting relationships will be changed. Upheaval must be confronted as scary and risky to the workers and lots of soothing of egos and calming of fears will be required to ease the pain of change. Processes that keep people informed and keep the big picture goals in front of everyone will help forge the path to the new world. In concluding on this type of effort, follow-up will be an activity that should be recommended in order to give management a more accurate picture of the effectiveness and wins and losses related to a reengineering project. Over time, the metrics can be reevaluated, and by keeping an eye on the true outcomes and how they ultimately improve the bottom line, management will eventually get the answers they are seeking about this kind of project. Not mentioned here specifically is the entire system s development project related list of risks and controls mentioned in some detail in the previous chapter, which also is assumed to be a part of the process and IS auditor would use to assess a reengineering project. These are just the nuances and additional issues related to this specific type of development effort.
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G. Giuliani wishes to thank Michele Norgia, Sabina Merlo, Valerio Annovazzi Lodi, Thierry Bosch and N el Servagent for fruitful discussions and collaboration. Part of the o research results described herein were achieved within the EU Brite-Euram SELMIX Project.
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import java.io.*; import javax.microedition.lcdui.*; import javax.microedition.io.*; import javax.microedition.midlet.*; /** This is a program to test HTTP connection using MIDP. This * class reads a text file from an http URL and displays * the content in a TextFeild. */
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To teach this lesson, follow these steps: 1. Have a soft drink on the desk but complain that it s too warm. Ask students what to do. Then find out who likes ice in their drinks. 2. Have the students tell you the procedure for making ice and write the stages on the board: 1) Put water into container. 2) Place container into freezer. 3) Leave for 2 hours. 3. Lead the students to get to the past participle of each of the verbs put, placed and left. I talk about past participles in 16. It s one form of a verb that you sometimes use when you speak about the past. 4. Ask students to identify the object of the sentence in step one water. 5. Ask them to identify the verb put and highlight that there s no person doing the action. 6. Set out the equation for the present simple passive form (the equation shows the necessary parts of the sentence in the right order): Object + the verb to be in the present simple tense (am, is or are) + past participle (+ by someone if you want to say who did it). I talk about the present simple tense in 16. 7. Complete the examples for each stage by eliciting the words and writing them on the board: Object The water It It + to be in present simple + past participle + where/how long is is is put placed left into a container into the freezer for two hours
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Handover analysis. After optimisation, the single connection mode was considerably improved (see Figure 15.11). The soft handover part dropped to an acceptable level. Similar to the non-loaded scenario, the contributions of soft and soft/soft states were minimised, leading to an improvement in the transmission and downlink capacity. More traffic has been captured by the softer connection state, albeit its influence on the capacity is kept low. This has again been achieved by downtilting of the antenna main beams. Histogram of pilot pollution distribution. The optimisation process decreased the pilot pollution radically. The shift of the difference between serving cell and 4th pilot is obvious and varies around 7 dB (Figure 15.12). As a consequence, connections are established and maintained at lower interferences; thus, either the connection quality may rise (e.g. throughput) or more users may be accommodated, maintaining the same system level of quality. Quality of the RF network distribution of CPICH RSCP versus Ec /I0 . The optimised network offers, at the same serving signal levels (CPICH RSCP), a significantly improved signal quality (CPICH Ec /I0 . Consequently, at the same or lower (due to minimised cell output power) path loss between Node B and mobile, the received interference is minimised. This leads at both ends to a decrease of the required transmit power for a connection, and hence builds sufficient headroom for future capacity growth. This can be seen in Figure 15.13. Distribution of non-connected mobiles. Finally, let us consider the location and number of nonconnected mobiles at the centre of the optimised area. Figure 15.14 shows the randomly simulated mobiles in the initial state. The white squares represent mobiles that are connected to the network and serviced, while grey ones are representing mobiles with low values of Ec /I0 . The black squares represent non-connected mobiles due to high FER. Figure 15.15 shows the same network after optimisation. It is also possible to see some of the azimuth changes made to the antennas. A comparison between the two figures gives an indication that distant mobiles at cell edges were able to connect to the network. There are improvements in the mobiles being located close to the base station as well. Both were possible due to improvements in the best server areas and reduction of the total interference, illustrated by the improvement in the pilot pollution.
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return. The first big task is taking the list of fifty or sixty or seventy possible projects and whittling it down to this smaller list of things that we can actually do and get some leeway on. "We modeled the behavior of the customer based on what would happen with these customers or this segment of customer if we followed this recipe and made these tweaks to the Web site. So each one of the projects that was on our original list was then quantified and then we came up with the potential increase in revenue for each and every one of them. "I'm not even trying to put an ROI on the knowledge management aspect-the insights that might lead to other things. Just directly focusing on changes that you can make which then lead to immediate revenues. My goal was to find that low-hanging fruit that can give us those big wins based purely on ROI numbers. Some other techniques might give us better insight, but some of that insight might be difficult to translate into revenue. And these are project recipes where we have a clear path to revenues. "The seven that I'm mentioning are the ones that made it to the top of the list. And these seven, in our case, total up to 100 percent increase in revenue." It's very hard to argue with doubling sales. "We went in and did the analytics and were surprised to find where the low-hanging fruit was. We essentially came up with seven areas:" 1. 2. 3. 4. 5. 6. 7. Optimize Lead Generation Tune Our Pages Optimize Our Navigation Enhance Our Search Optimize Our Merchandising Tune Our Entry Points Analyze Our Sales Funnel
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An increased understanding of the low-level operation of the kernel. The Windows kernel is essentially a complex black box; however, over the past 10 years it has become slowly more understood. These days there are many useful resources for understanding aspects of its operation Microsoft Windows Internals, Fourth Edition by Mark E. Russinovich and David A. Solomon (Microsoft Press, 2004) is certainly a good starting point. In addition there have been several Phrack articles on manipulating the kernel and postings on Rootkit.com have shed light on some of the blacker innards of the kernel. Vulnerabilities in user-mode applications are becoming harder to find. It is generally accepted in the security community that simple stack overflow vulnerabilities, at least in critical Windows services, are drying up. Code that runs in the kernel, however, has been scrutinized less. This is partly due to the black art that is driver development. Developers often hack on a sample from the Device Driver Development Kit (DDK) until it meets their requirements, and most software houses do not have many people equipped to carry out peer review of a driver. Kernel-mode code is therefore a potentially target-rich attack surface. Increased exposure through interconnected peripherals. These days the average notebook is likely to contain a wireless network card, a Bluetooth adapter, and an infrared port. Such devices are controlled by kernel-mode drivers that are responsible for parsing the raw data received in order to abstract it for another device driver or a user-mode application. This creates a potentially devastating attack surface that can be targeted anonymously by attackers situated in the same physical locality.
12.4.2 Physical Layer Protocol Data Unit Structure The PPDU structure for WiMedia is shown in Figure 12.8. The PLCP preamble has two types: the standard PLCP preamble and the burst PLCP preamble. The former is used for standard transmission and the latter is used for burst mode transmission. In standard transmission, there is only one packet. In burst mode transmission, multiple packets are transmitted when the device gets hold of the PCA channel. The rst frame uses a standard PLCP preamble, while the subsequent packets use the burst PLCP header, which is shorter than the standard PLCP header. Minimum interframe spaces (MIFSs) are used to separate the packets rather than using short interframe space (SIFS). MIFS is shorter than SIFS. The PLCP preamble is followed by the PLCP header. Note that the MAC header in WiMedia is contained in the PLCP header. This is a big difference from the IEEE 802.11 WLAN MAC frame format. The PLCP header is followed by the physical layer data unit (PSDU). The PSDU consists of the frame payload of 0 to 4095 bytes. This is equivalent to the frame body in the IEEE 802.11 WLAN MAC frame format. The frame payload is followed by the frame check sequence (FCS), tail bits, and paddings. Note that the PLCP header is transmitted at 39.4 Mbps, while the PSDU is transmitted at one of the eight data rates of {53.3, 80, 106.7, 160, 200, 320, 400, 480} Mbps.
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