Wireless local positioning

Vossiek, Martin; Wiebking, L.; Gulden, Peter; Wieghardt, Jan; Hoffmann, Clemens; Heide, P.

doi:10.1109/mmw.2003.1266069

Cited by 379 publications

(170 citation statements)

References 17 publications

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“…LASER systems are precise but they suffer enormous inaccuracies in dusty environment and erroneous alignment. Conventional RADAR systems are rugged but prone to false echoes from various surrounding metallic structures usually present at industrial site [6] [7] [8]. This affects the measurement statistics greatly and limits the range to a few meters (50 meters) [9] [10].…”

Section: Radar Based Oven Identification Systemmentioning

confidence: 99%

Methods for automatic identification of coke ovens for auto positioning systems in coke plant of steel industries

Patra¹,

Kundu²,

Ghosh³

et al. 2018

Diagnostyka

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Article citation info: 95 Patra P, Kundu C, Ghosh A, Tudu B, Bandyopadhyay R. Methods for automatic identification of coke ovens for auto positioning systems in coke plant of steel industries. Diagnostyka. 2018;19(2):95-103 Jadavpur University, bipantudu@gmail.com 5 Jadavpur University, rb@iee.jusl.ac.in Abstract Blast furnace operation requires highest quality raw materials, operation and operators. Among them coke is the most important, in terms of its effect on operation and hot metal quality. A good grade coke produces highest thermal energy and it is highly efficient in case of metal reduction. Usage of good grade coke to blast furnace will ensure lower coke rate, higher productivity and lower hot metal cost. In order to concentrate the free atmosphere. There is need to automate the coke oven operations as much as possible. In order to improve the level of control and management of coke oven, the research on intelligent control system is carried out. In modern advanced control system of coke oven, the control scheme of combination, feedback & feed-forward merged with management are widely utilized. The integrated management and control system of coke oven is introduced systematically, including the production plan and scheduling management (Dynamic scheduling) & heating control system (Mathematical modeling) i.e. evaluating battery temperature, intelligent combustion control and pressure control of gas collector of coke oven battery.

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Section: Radar Based Oven Identification Systemmentioning

confidence: 99%

Methods for automatic identification of coke ovens for auto positioning systems in coke plant of steel industries

Patra¹,

Kundu²,

Ghosh³

et al. 2018

Diagnostyka

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“…Range-free localization algorithms such as [5], [6], [7], [8], [9], which do not require the availability and validity of the range information, have been pursued as cost-effective alternatives for expensive range-based schemes. Most of these solutions are based on the methodology proposed in the ad-hoc positioning system (APS) [5].…”

Section: Introductionmentioning

confidence: 99%

A practical localization solution for wireless sensor networks deployed in linear topography

Zhang

Guo

Meratnia

et al. 2010

2010 Sixth International Conference on Intelligent Sensors, Sensor Networks and Information Processing

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Abstract-In this paper, we propose a practical range-free localization solution for wireless sensor networks (WSNs). Different from existing localization approaches, the proposed solution is specially designed for an ultra sparse mobile WSNs deployed in coal mine tunnels with linear topography. To obtain more reference information requited for localization with limited anchor nodes, the proposed solution sets asymmetrical transmission range for the sensor nodes and makes best use of a priori knowledge about the location of the anchor nodes. Numerous real measurements and real localization experiments were made in a coal mine tunnel in the ShanDong province, China. The experimental results show that our proposed solution achieves a high localization accuracy with an error less than 13% of the transmission range of the anchor nodes, while, the traditional range-free solution, i.e., Ad-Hoc Positioning System, has an error about 44% of the transmission range under the same conditions. Index Terms-Wireless sensor networks, linear topology, localization, range-free, asymmetrical transmission range.

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“…Also, beyond the purely technical or technological considerations to be taken into account in location determination are issues of privacy and safety which location technologies raise. (Vossiek et al, 2003) Fortunately, the issue of deciding which of these technologies to use is being somewhat mooted by the increasing trend of mobile devices to incorporate multiple access technologies in the same platform. The availability of GSM, WiFi, Bluetooth and GPS on the same device offers the possibility of intelligently using all these technologies in combination to improve location availability and accuracy.…”

Section: Location Considerationsmentioning

confidence: 99%

Wireless Positioning Techniques – A Developers Update

Rooney¹,

Gardiner²,

Carswell³

Web and Wireless Geographical Information Systems

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Abstract. This paper describes the current efforts to develop an open source, privacy sensitive, location determination software component for mobile devices. Currently in mobile computing, the ability of a mobile device to determine its own location is becoming increasingly desirable as the usefulness of such a feature enhances many commercial applications. There have been numerous attempts to achieve this from both the network positioning perspective and also from the wireless beacon angle not to mention the integration of GPS into mobile devices. There are two important aspects to consider when using such a system which are privacy and cost. This paper describes the development of a software component that is sensitive to these issues. The ICiNG Location Client (ILC) is based on some pioneering work carried out by the Place Lab Project at Intel. (Hightower et al., 2006) The ILC advances this research to make it available on mobile devices and attempts to integrate GSM, WiFi, Bluetooth and GPS positioning into one positioning module. An outline of the ILC's design is given and some of the obstacles encountered during its development are described.

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Wireless local positioning

Cited by 379 publications

References 17 publications

Methods for automatic identification of coke ovens for auto positioning systems in coke plant of steel industries

Methods for automatic identification of coke ovens for auto positioning systems in coke plant of steel industries

A practical localization solution for wireless sensor networks deployed in linear topography

Wireless Positioning Techniques – A Developers Update

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