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2.7.3. CORTEX s Car Control 2.7.3.1. Introduction [5, 37] are the main resources of the scenario. Car Control scenario aims at demonstrating the feasibility of the sentient object paradigm for real-time ad hoc environments. In this scenario, cars are able to operate independently and cooperate with each other to avoid collisions. It has been researching for the feasibility of future car systems that will be able to transport people without human intervention. The nal destination and optionally the desired time of arrival are the only two parameters that need to be provided. Thus, the car control system will automatically select the optimal route according to those information for reaching the destination. Cars will cooperate with each other to move safely on the road, reduce traf c conditions and reach their destinations. The principal target of this application scenario is to present the sentient object paradigm for real-time and ad hoc environments. It requires decentralized (distributed) algorithms. Each car is a CO. However, they can be called sentient objects as well. They are autonomous and proactive. Sentient objects sense their environment via sensors and react to sensed information via actuators. Various sensors mounted on cars are responsible for monitoring the environment and sensing related information. They should receive both periodic events, such as position information broadcasted by nearby cars and sporadic events, such as emergency stop signals, which provide information about unpredictable situations.

Number was determined by auction: ve licences: 2 10 MHz 1 1 5 MHz; 1 license: 2 10 MHz p. t.b.d All licences: 2 15 MHz 1 1 5 MHz t.b.d Yes

SMG 641/96. SMG 682/96. I had produced the rst draft and circulated it to the mentioned operators. 24 See Meeting Report of SMG#20 in the CD ROM folder B1. 25 SMG 601/96, Annex II.

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Moody s KMV argues that, in general, asset volatilities are relatively stable through time and that reestimation is necessary only when industries undergo fundamental changes. Moody s KMV further argues that a rm s asset volatility is determined by its industry, size, and the region in which it does business. Moody s KMV argues that, for a given size of a rm, the assets of a bank are less risky than those for a beverage retailer, which are, in turn, less risky than the assets of a biotechnology rm. Moody s KMV argues that, in general, growth industries have riskier assets than mature industries. Exhibit 3.8 shows the relationship between observed asset volatility and size for public companies that produce construction materials. The vertical axis shows asset volatility and the horizontal axis shows company size, as measured by sales. Exhibit 3.8 provides an example of an industry in which the larger the rm, the more predictable the cash ows and the less variable the asset value. Moody s KMV argues that larger rms have more diversi cation (across cus-

NetherLight is the GLIF Open Lightpath Exchange (GOLE) in Amsterdam, The Netherlands, and it has been operational since January 2002. NetherLight is an advanced open optical infrastructure and proving ground for network services, optimized for high-performance applications especially those that require Grid infrastructure. NetherLight is operated as a production facility, with active monitoring seven days a week, 24 hours a day. The heart of NetherLight consists of a large optical cross-connect that interconnects multiple 10-Gbps lambdas in order to cross-connect lightpaths between multiple national and international network facilities, including StarLight, UKLight, CzechLight (Prague), NorthernLight (Stockholm), the CERN network, and related networks and facilities. For those applications requiring connectivity services at other layers, NetherLight also provides gigabit Ethernet switching capabilities. With these facilities NetherLight enables multiple specialized international highperformance communication services, in partnership with other advanced research networks. NetherLight has supported multiple landmark data-intensive science experiments and demonstrations, and is pioneering new concepts for architecture that may find their way into other GOLEs worldwide and the traditional telecommunications world as they move to next-generation architectures. One of the focal points for development of NetherLight is control plane technology, with the multidomain environment in mind as much as possible. These developments are being undertaken in close cooperation with leading projects world-wide, paving the way to services based on end-to-end user-provisioned lightpaths.

A modern-generation turbine can have a capacity of 1000 MW; it is capable of providing 1000 MW of power. We use Table 2.2 to illustrate just how much power this is. Consider how many light bulbs could be lit with 1000 MW of power. A typical light bulb in a reading lamp requires 100 W of power. From Table 2.2 it is seen that a 1000-MW unit is capable of delivering enough power to light 10 million light bulbs.

A similarity measure that is based on the number of production rules that are instantiated has been proposed by Sebay and Schoenauer [14]: X w ri 3:7 SMpq

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