"... In PAGE 24: ... The higher those ratios are the more is intensive the use of robots in the industrial branch in question. These two ratios are given per industrial branch and for some selected countries in Table 5 and Table6 below. Table 5: Robot / value added share per industrial branch for selected industrial countries, from [10] Industrial Branch Total Industry Process I n - dustries Engineering Metal Products Machine I n - dustry Electrical M a - chinery Transport Equipment Motor Vehicles Instruments Industry ISIC rev.... ..."

"... In PAGE 24: ... The higher those ratios are the more is intensive the use of robots in the industrial branch in question. These two ratios are given per industrial branch and for some selected countries in Table5 and Table 6 below. Table 5: Robot / value added share per industrial branch for selected industrial countries, from [10]... ..."

"... In PAGE 25: ... Subtracting the Motor Vehicles numbers in Table 4 from the Transport Equipment ones could derive an indication on the use of robots on the use of ro- bots in the shipbuilding, train and aeronautic branches together. The Robot / added value and robot / employment relative shares for the transport industries excluding the motor vehicle industries are presented in the Table7 below8. Table 7: Robot / added value and robot / employment relative shares for the transport industries excluding the motor vehicle ones Country robot / value added share robot / employment share Japan 1.... ..."

"... In PAGE 23: ...2.1 The world market for industrial robots In 1997, worldwide robot installations reached the record level of 85,000 units, ex- actly half of which concern installations in Japan, as can be seen on Table2 below. This represents an increase of +6.... ..."

"... In PAGE 7: ...The Digital Recurrent Neural Networks for Identification of Industrial Robot 167 The parameters of the DRN 1 are given in Table1 . The number of the hidden neurons is 10.... ..."

"... In PAGE 20: ...The layout of the Penn State CIM lab is shown in Figure 9, and a list of the specific equipment and its capability is shown in Table2 . The system consists of two workstations, each of which is composed of several CNC machines and industrial robots.... ..."

"... In PAGE 22: ... On the other hand, the number of non-trivial regions increases in an initial phase since the algorithm prefers small regions and nally decreases when there are no trivial regions left and non-trivial regions are merged. Table2 indicates the in uence of s on the hierarchical representation of RS, it gives the number of regions (non-trivial and in total), the number of aggregated places Pagg, cardinalities of the hierarchical reachability set RSh, the reachability set of the high level net RS(HN), and the maximal number of markings observed among the low level nets. The quality of the whole construction is shown in column \percent RS(PN) quot;, which gives the reachable fraction of RSh.... In PAGE 23: ...teps. For a P-invariant computation 202 steps are necessary, hence Fig. 7 also illustrates the di culties for invariant computation observed in [19]. According to the results in Table2 , the number of regions and a limit for the number of aggregated places give suitable parameters to stop the automatic hierarchy generation where it makes sense. 8 Conclusions We have proposed a new approach for the e cient generation and compact representation of reachability sets and graphs of large PNs.... ..."

"... In PAGE 3: ... However, these issues will not be discussed here. Table 1 describes the general guidelines used in organizing Table4 . Note that we did not directly cover academic areas, and a more complete list (which included our industrial table) was produced by the Peta ops meeting [Peta:94a].... In PAGE 3: ... Here, \Info quot;, in InfoMall, refers to the information based application focus and \Mall quot; to the use of a virtual corporation (groups of \storeholders quot;) to produce the complex integrated applications enabled by HPCC. The rst column of Table4 contains the area label and some sample applications. There is also a pointer to Section 4, if appropriate.... In PAGE 8: ...Table4 : Industrial HPCC Applications 6 to 10: SIMULATION Application Area Problem Machine Item and Examples Comments and Software 6 Environmental Empirical Models Some SIMD but Sec. Phenomenology Monte Carlo and MIMD more 4.... In PAGE 9: ...Table4 : Industrial HPCC Applications 11 to 13: SIMULATION Application Area Problem Machine Item and Examples Comments and Software 11 Particle Transport Monte Carlo Methods Sec. Problems as in neutron MIMD 4.... In PAGE 10: ...Table4 : Industrial HPCC Applications 14 to 18: Information Analysis|\DataMining quot; Application Area Problem Machine Item and Examples Comments and Software 14 Seismic and Parallel Computers SIMD useful but Environmental already important MIMD might be Data Analysis but necessary No oil in New HPF York State 15 Image Processing Many commercial Metacomputer Sec. Medical Applications of Low Level 4.... In PAGE 11: ...Table4 : Industrial HPCC Applications 19 to 22 for Information Access InfoVision|Information, Video, Imagery and Simulation on Demand (Sec. 4.... In PAGE 12: ...Table4 : Industrial HPCC Applications 23 to 24 for Information Access InfoVision|Information, Video, Imagery and Simulation on Demand (Sec. 4.... In PAGE 13: ...Table4 : Information Integration Applications 25 to 28 These involve combinations of Information Production, Analysis, Access and Dis- semination and thus need the Integration of the various Software and Machines Architecture Issues discussed under previous application areas. Many need collaboration and \computational steering quot; technology correspond- ing to integration of computers, people, and instruments \in the loop.... In PAGE 14: ...Table4 : Information Integration Applications 29 to 33 29: Real-Time Control Systems Robotics uses Imagery to make decisions (control vehicles) Energy management controls power use and generation 30: Electronic Banking Requires Security, Privacy, Authentication, Electronic Cash, etc. 31: Electronic Shopping 32: Agile Manufacturing|Multidisciplinary Design and Concurrent Engineering (Sec.... In PAGE 14: ...3: Education (Sec. 4.5) Many commonalities with Application 25 InfoMall Living Schoolbook|6 Schools on ATM network linked to HPCC InfoVi- sion Servers at NPAC [Mills:95a] This paper is not intended to advocate a particular parallel software environment or lan- guage. Rather, we want to describe the broad capabilities of, and give examples of the parallel programming paradigm needed for the applications of Table4 . We believe that the program- ming functionality needed by a particular application is broadly determined by the problem architecture described in the following section.... In PAGE 21: ... Data parallelism occurs in large data mining sub-applications on servers with links to Java or VRML clients, that just handle visualization and interpretation modules. There were a few examples of metaproblems in our original survey, but a major part of Table4 , from our New York State activity, is the Information Integration classi cation. This class includes manufacturing and the applications 25{33, all examples of metaproblems.... In PAGE 32: ... These include processing sensor data (signal and image processing|Application 15) and simulations of such things as expected weather patterns and chemical plumes. In this way, many of the components (Applications 1 to 12 in Table4 ) are linked as part of this large metaproblem. One also needs large-scale multimedia databases with HPCC issues related to those described for InfoVISiON in Section 4.... ..."