Baseline method for the decoding of optical markers known as ‘snowflakes’

A method for the determination of individual components of complex mixtures is presented. The technique used is based on ir-absorbance measurements for stearic acid at 1700 and at 935 cm−1 when the concentration range exceeds 0.50% wt/vol; for isopropenyl stearate at 1145 and at 865 cm−1; for stearic anhydride at 1030 cm−1 and mixed stearic-acetic anhydride at 1000 cm−1. The baseline method was used in all absorbance measurements. Absorbance-concentration relationships obeyed Beer's law from 0 to 2.0% wt/vol for most compounds; the exception being stearic acid (at 1700 cm−1), where linearity was limited to a maximum 0.50% wt/vol. Due to spectral interference between the two anhydrides at low concentration ratios, an empirical percent transmission ratio method was used to estimate the relative concentration of each. Binary and ternary systems were studied and the standard deviations of the differences between theoretical and calculated values indicate that this method is reliable.

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Virtual Object Position Manipulation Using ARToolKit

Journal of University of Human Development ◽

10.21928/juhd.v1n2y2015.pp306-310 ◽

2015 ◽

Vol 1 (2) ◽

pp. 306

Author(s):

Hoger Mahmud Hussen

Keyword(s):

Augmented Reality ◽

Target Position ◽

Virtual Object ◽

Design Solution ◽

Test Cases ◽

Current Version ◽

Virtual Objects ◽

Additional Information ◽

Education And Health ◽

Optical Markers

In this paper the outcome of a project is presented that aims to modify and improve one of the most widely used Augmented Reality tools. Augmented reality (AR), is a fast growing area of virtual reality research. Augmented Reality (AR) is a newly emerging technology by which user’s view of the real world is augmented with additional information from a computer model. ARToolKit is one of the most widely used toolkits for Augmented Reality applications. The toolkit tracks optical markers and overlays virtual objects on the markers. In the current version of the toolkit the overlaid object is stationary or loops regardless of the optical target position, this means that the overlaid object cannot be animated or changed based on the movement of the optical target. The aim is to improve the toolkit, therefore a design solution to modify it were designed and implement so that users can manipulate the position of the overlaid virtual object, through movements of the optical target. The design solution focuses on developing a mathematically based links between the position of the optical target and the overlaid virtual object. To test the solution test cases were developed and the results show that the design solution is effective and the principal idea can be used to develop many applications in different sectors such as education and health.

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Virtual baseline method for Beidou attitude determination – An improved long-short baseline ambiguity resolution method

Advances in Space Research ◽

10.1016/j.asr.2012.09.007 ◽

2013 ◽

Vol 51 (6) ◽

pp. 1029-1034 ◽

Cited By ~ 4

Author(s):

Liangqing Lu ◽

Yong Li ◽

Chris Rizos

Keyword(s):

Ambiguity Resolution ◽

Attitude Determination ◽

Baseline Method ◽

Resolution Method ◽

Short Baseline

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WikiServe: Using Wikipedia to Match IoT based Services for Situation Response

10.20944/preprints202108.0163.v2 ◽

2021 ◽

Author(s):

Sazid Zaman Khan ◽

Alan Colman ◽

Iqbal H. Sarker

Keyword(s):

Internet Of Things ◽

Natural Disaster ◽

Smart Devices ◽

Baseline Method ◽

Service Matching ◽

Ontological Model ◽

Ranked List ◽

F Measure ◽

The Web ◽

Better Than

A large number of smart devices (things) are being deployed with the swift development of Internet of Things (IOT). These devices, owned by different organizations, have a wide variety of services to offer over the web. During a natural disaster or emergency (i.e., a situation), for example, relevant IOT services can be found and put to use. However, appropriate service matching methods are required to find the relevant services. Organizations that manage situation responses and organizations that provide IOT services are likely to be independent of each other, and therefore it is difficult for them to adopt a common ontological model to facilitate the service matching. Moreover, there exists a large conceptual gap between the domain of discourse for situations and the domain of discourse for services, which cannot be adequately bridged by existing techniques. In this paper, we address these issues and propose a new method, WikiServe, to identify IOT services that are functionally relevant to a given situation. Using concepts (terms) from situation and service descriptions, WikiServe employs Wikipedia as a knowledge source to bridge the conceptual gap between situation and service descriptions and match functionally relevant IOT services for a situation. It uses situation terms to retrieve situation related articles from Wikipedia. Then it creates a ranked list of services for the situation using the weighted occurrences of service terms in weighted situation articles. WikiServe performs better than a commonly used baseline method in terms of Precision, Recall and F measure for service matching.

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Calibration of Industrial Cameras for Aerial Photogrammetric Mapping

Remote Sensing ◽

10.3390/rs12193130 ◽

2020 ◽

Vol 12 (19) ◽

pp. 3130

Author(s):

Jakub Kolecki ◽

Przemysław Kuras ◽

Elżbieta Pastucha ◽

Krystian Pyka ◽

Maciej Sierka

Keyword(s):

Survey Methodology ◽

Calibration Method ◽

Bundle Adjustment ◽

Test Field ◽

Baseline Method ◽

Field Calibration ◽

Custom Software ◽

Single Process ◽

Industrial Cameras ◽

Very High

This paper details the development of a camera calibration method purpose-built for use in photogrammetric survey production. The calibration test field was established in a hangar, where marker coordinates were measured using a high-precision survey methodology guaranteeing very high accuracy. An analytical model for bundle adjustment was developed that does not directly use the coordinates of field calibration markers but integrates bundle adjustment and survey observations into a single process. This solution, as well as a classical calibration method, were implemented in a custom software, for which the C++ source code repository is provided. The method was tested using three industrial cameras. The comparison was drawn towards a baseline method, OpenCV implementation. The results point to the advantages of using the proposed approach utilizing extended bundle adjustment.

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