Transmitter Positioning of Distributed Large-Scale Metrology Within Line-Less Mobile Assembly Systems

In Line-less Mobile Assembly Systems (LMAS) the mobilization of assembly resources and products enables rapid physical system reconfigurations to increase flexibility and adaptability. The clean-floor approach discards fixed anchor points, so that assembly resources such as mobile robots and automated guided vehicles transporting products can adapt to new product requirements and form new assembly processes without specific layout restrictions. An associated challenge is spatial referencing between mobile resources and product tolerances. Due to the missing fixed points, there is a need for more positioning data to locate and navigate assembly resources. Distributed large-scale metrology systems offer the capability to cover a wide shop floor area and obtain positioning data from several resources simultaneously with uncertainties in the submillimeter range. The positioning of transmitter units of these systems becomes a demanding task taking visibility during dynamic processes and configuration-dependent measurement uncertainty into account. This paper presents a novel approach to optimize the position configuration of distributed large-scale metrology systems by minimizing the measurement uncertainty for dynamic assembly processes. For this purpose, a particle-swarm-optimization algorithm has been implemented. The results show that the algorithm is capable of determining suitable transmitter positions by finding global optima in the assembly station search space verified by applying brute-force method in simulation.

GeoSPARQL 1.1: An Almost Decadal Update to the Most Important Geospatial LOD Standard

In 2012 the Open Geospatial Consortium published GeoSPARQL defining “an RDF/OWL ontology for [spatial] information”, “SPARQL extension functions” for performing spatial operations on RDF data and “RIF rules” defining entailments to be drawn from graph pattern matching. In the 8+ years since its publication, GeoSPARQL has become the most important spatial Semantic Web standard, as judged by references to it in other Semantic Web standards and its wide use for Semantic Web data. An update to GeoSPARQL was proposed in 2019 to deliver a version 1.1 with a charter to: handle outstanding change requests and source new ones from the user community and to “better present” the standard, that is to better link all the standard’s parts and better document & exemplify elements. Expected updates included new geometry representations, alignments to other ontologies, handling of new spatial referencing systems, and new artifact presentation. In this paper, we describe motivating change requests and actual resultant updates in the candidate version 1.1 of the standard alongside reference implementations and usage examples. We also describe the theory behind particular updates, initial implementations of many parts of the standard, and our expectations for GeoSPARQL 1.1’s use.

Comprehension benefits of visual-gestural iconicity and spatial referencing

Studies have shown that iconicity can provide a benefit to non-signers during the learning of single signs, but other aspects of signed messages that might also be beneficial have received less attention. In particular, do other features of signed languages help support comprehension of a message during the process of language learning? The following exploratory study investigates the comprehension of sentences in two signed and two spoken languages by non-signers and by American Sign Language (ASL) learners. The design allows for the examination of message comprehension, with a comparison of unknown spoken and signed languages. Details of the stimulus sentences are provided in order to contextualize features of the signing that might be providing benefits for comprehension. Included in this analysis are aspects of the sentences that are iconic and spatially deictic – some of which resemble common gestural forms of communication. The results indicate that iconicity and referential points in signed language likely assist with comprehension of sentences, even for non-signers and for a signed language that the ASL signers have not studied.

Visual representation of CORDEX climate data by using QGIS

<p>The majority of studies are dedicated to the analysis of climate change and climate models with no regard for data visualization part. Therefore, this research is aimed at highlighting challenges, with an emphasis on spatial referencing that can occur while visualizing CORDEX data. CORDEX data are stored in NetCDF file format, and sometimes georeferencing may be misconceived in QGIS software. For this reason, two techniques of georeferencing data are examined in this work. The first way of data georeferencing is re-projecting coordinates from original projection to an interpolated latitude/longitude grid. The second way is re-encrypting initial data file so that QGIS is able to interpret projection information. Preference of using QGIS explained by two reasons: it is open source GIS application and it has expanded visualization toolkit.</p><p>In addition, there are a great deal of climate models based on CORDEX data for some regions whereas there is a lack of climate projections for particular areas. In this regard, carrying out analysis for the region of Kazakhstan is beneficial. Outcomes of this research may stimulate spreading local climate models for Kazakhstan territory. Results are represented in the form of maps of Kazakhstan illustrating temperature change over 21<sup>st</sup> century time period.</p>

The belief in mining: How imageries of other mines may brighten Arctic minescapes

The article discusses how promising outlooks and favourable memories of past and distant mining ventures are employed in the view of a mine in spe. The study utilises interview quotes and written narratives pertaining to a case of mine development in Swedish Pajala and neighbouring Finnish Kolari (the Northland project 2004–2014), located above the Arctic Circle, for explicating this. Its theoretical framework includes the concept of minescape and the ideas of past presences and anticipated futures, which support capturing (the temporality of) the sociocultural and discursive dimensions of mining alongside with its physicality. Previous and distant experiences with mines appeared readily abstracted and brought into the current debate, forgetting about contexts, that is, about any historical or geographical contingencies. This kind of temporal and spatial referencing is seen to represent an imaginative practice which, as it is argued, gains an enhanced role in tandem with the increasing market dependency and volatility of the extractive business. By attending to the meaning-making based on remembering, and forgetting, in the context of experiences made with mining in the past or elsewhere, the article contributes to our understanding of the present-day role of mining heritage.