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time the line was hit. Although I was happy that their tested system was also confirming the trade, I was ready to write it down and paper-trade it no matter what. We did agree that although the currency pair had stopped stone-cold on the 193.27 mark previously, we would wait for it to hit 193.00 even because, according to my new trading partners, this was a currency pair that tended to obey the round numbers. At this point, I was ready to talk about stops and profit targets (see Figure 18.1). Winnipeg George believed that 195.00 represented a perfect exit for the pair; it would give us a 200 pip target, and it was also the same place where the currency pair had stalled on three different occasions: first, on March 18, when the currency pair had fallen to the 195.00 figure and stopped dead in its tracks before heading lower. Second, on April 6, when it had finally risen above the 193.00 level. And third on April 8. On each of these collisions with 195.00, the currency pair had only managed to break through by 50 pips or so. What I liked the most was that 195.00 had already played the dual role of support and resistance. I wrote down: Long GBP/JPY 193.00, Stop: 192.00, Profit target: 195.00 Roddy and Winnipeg George took the trade for the firm (Figure 18.2). It was enough for me to watch them with the trade. This trade opened and closed while George and Roddy were working the overnight shift it opened on April 13 at 3:00 in the morning and closed almost exactly 48 hours later.

Tassiulas Maximum lifetime routing in wireless sensor networks IEEE/ACM Transactions on Networking, 12(4):pp 609 619, 2004 18 G Zussman and A Segall Energy ef cient routing in ad hoc disaster recovery networks In Proc IEEE INFOCOM, 2003, pp 682 690 19 V Rodoplu and T H Meng Minimum energy mobile wireless networks IEEE Journal on Selected Areas in Communications, 17(8):1333 1344, 1999..

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It is expected to address many social issues in Japan and the other developed nations coping with rapid demographic change, providing security, and improving the convenience and comfort of daily life [268]. The robot competitions at AAAI and IJCAI include the mobile challenge for a robot to check itself into the conference and present a talk about itself, including answering questions. Such robots have many of the attributes of AACR, including multisensor perception of the scene, reasoning, planning, making decisions, and taking actions. GRACE (Graduate Robot Attending ConferencE), the rst winner of the IJCAI robot challenge, isn t a very attractive robot compared to Sony s Asimo, but she has considerable autonomy. AML is the crucial feature that differentiates GRACE, Abio, and Asimo as cognitive systems from merely arti cially intelligent but preprogrammed alternatives. GRACE is a six-foot-tall, socially oriented autonomous talking robot. It was developed by a team of researchers from Carnegie Mellon, the Naval Research Laboratory, Metrica, Inc., Northwestern University, and Swarthmore College. It successfully completed the mobile robot challenge at the American Association of Arti cial Intelligence (AAAI) national meeting in Edmonton, Alberta, Canada on 31 July 2002 [269]. The U.S. Naval Research Laboratory [270] supplied speech recognition, parsing, multimodal speech and gesture interpretation, and human robot interaction. Metrica provided vision-based gesture recognition. Northwestern contributed speech synthesis, and Swarthmore contributed specialized vision for reading of signs and nametags and recognizing people. Physically, GRACE consists of a wheeled mobility platform and a cage of electronics on top of which is a display that shows GRACE or the PowerPoint slide presentation of itself. Because of the limitations of the speech recognition subsystem, GRACE responds to questions posed by the keyboard.

20 L Li and P Sinna Throughput and energy ef ciency in topology-controlled multi-hop wireless sensor networks In Proceedings ACM WSNA, 2003, pp 132 140 21 S-C Wang, D S L Wei, and S-Y Kuo A topology control algorithm for constructing power ef cient wireless ad hoc networks In Proceedings of IEEE GLOBECOM, 2003, pp 1290 1295 22 R Wattenhofer, L Li, R Bahl, and Y-M Wang Distributed topology control for power ef cient operation in multihop wireless ad hoc networks In Proceedings IEEE INFOCOM, 2001, pp 1388 1397 23 R Ramanathan and R Rosales-Hain Topology control of multihop wireless networks using transmit power assignment In Proceedings of IEEE INFOCOM, 2000 24 Y Xu, J S Heidemann, and D Estrin Geography-informed energy conservation for ad hoc routing In Proceedings of ACM MobiCom, 2001, pp 70 84 25 B Chen, K Jamieson, H Balakrishnan, and R Morris.

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