InSAR data are used to recognise large industrial building complexes. Such buildings often show salient regular patterns of strong scatterers on their roofs. A previous segmentation which uses the intensity, height and coherence information extracts building cues. Strong scatterers are filtered by a spot detector and localised by a cluster formation. Strong scatterers are grouped in rows by a p...

In a common market with costless mobility of all factors, regional governments can attract mobile rms by granting subsidies which must be nanced out of wage taxes on mobile labour. Since rms locate where subsidies are highest and workers settle where taxes are lowest, government are forced "in the splits" (double Bertrand-type tax competition). We assume that without government intervention the...

Wireless Sensor Network is one of the emerging and latest research areas which are used to scan and analyze surrounding state like sound, light, pollution, temperature, wind speed, humidity, pressure, direction etc. WSNs are also used in a variety of application areas like traffic scanning, industrial scanning, machine health monitoring, traffic monitoring etc. Cluster-based WSN gives benefits,...

With SWOT analysis method, advantage and disadvantage, chance and threat of developing productive service in Shenyang will be analyzed by this paper, indicating that developing productive service industry on the basis of High-Tech is significant for upgrading of industrial structure in old industrial bases. On that basis, this paper continues to bring forward strategic mode selections of econom...

The paper approaches the problem of analyzing complex industrial bodies like the clusters of enterprises in order to evaluate their performances. The analysis is based on a formal model of a cluster of SMEs, represented in terms of its structure, its organization and its interactions with the outside.The paper aims at giving a comprehensive presentation of the evaluation approach to network org...

A validated simulation model primarily requires performing an appropriate input analysis mainly by determining the behavior of real-world processes using probability distributions. In many practical cases, probability distributions of the random inputs vary over time in such a way that the functional forms of the distributions and/or their parameters depend on time. This paper answers the quest...

A two-year field experiment was conducted at Regional Agricultural Research Station, Jessore during the rabi seasons of 2002—2003 and 2003-2004 to find out the level of disease incidence under different levels of irrigation and fungicide spray on the bulb yield of onion. Four irrigation levels: no irrigation (I1), irrigation at 10 days interval (I2), 20 days interval (I3), and 30 days interval ...

This paper introduces a new concept for flexible motion planning and control of industrial robots. Instead of a closed monolithic architecture, an open service-based framework is proposed. The services can be run hardwareindependent on a decentralized IT infrastructure (Cloud) allowing a fast reconfiguration of control modules and their multiple usage in different tasks. The services can be run...

Agent-based models, an instance of the wider class of connectionist models, allow bottom-up simulations of organizations constituted by a large number of interacting parts. Thus, geographical clusters of competing or complementary firms constitute an obvious field of application. This contribution explains what agent-based models are, reviews applications in the field of industrial clusters and...

A simple and effective fuzzy clustering approach is presented for fuzzy modeling from industrial data. In this approach, fuzzy clustering is implemented in two phases: data compression by a self-organizing network, and fuzzy partitioning via fuzzy cmeans clustering associated with a proposed cluster validity measure. The approach is used to extract fuzzy models from data and find out the optima...