scholarly journals Mergin’ Mode: Mixed Reality and Geoinformatics for Monument Demonstration

2020 ◽  
Vol 10 (11) ◽  
pp. 3826
Author(s):  
Konstantinos Evangelidis ◽  
Stella Sylaiou ◽  
Theofilos Papadopoulos
Keyword(s):  
Mixed Reality ◽  
3D Visualization ◽  
Location Based Services ◽  
Smart Devices ◽  
Data Repositories ◽  
Crucial Component ◽  
Geospatial Tools ◽  
Technological Means ◽  
Historical Sites ◽  
Cultural Data

Since smart devices are becoming the primary technological means for daily human activities related to user-location, location-based services constitute a crucial component of the related smart applications. Meanwhile, traditional geospatial tools such as geographic information systems (GIS) in conjunction with photogrammetric techniques and 3D visualization frameworks can achieve immersive virtual reality over custom virtual geospatial worlds. In such environments, 3D scenes with virtual beings and monuments with the assistance of storytelling techniques may reconstruct historical sites and “revive” historical events. Boosting of Internet and wireless network speeds and mixed reality (MR) capabilities generate great opportunities for the development of location-based smart applications with cultural heritage content. This paper presents the MR authoring tool of “Mergin’ Mode” project, aimed at monument demonstration through the merging of the real with the virtual, assisted by geoinformatics technologies. The project does not aim at simply producing an MR solution, but more importantly, an open source platform that relies on location-based data and services, exploiting geospatial functionalities. In the long term, it aspires to contribute to the development of open cultural data repositories and the incorporation of cultural data in location-based services and smart guides, to enable the web of open cultural data, thereby adding extra value to the existing cultural-tourism ecosystem.

scholarly journals Evaluation of Multi-Sensor Fusion Methods for Ultrasonic Indoor Positioning

2021 ◽  
Vol 11 (15) ◽  
pp. 6805
Author(s):  
Khaoula Mannay ◽  
Jesús Ureña ◽  
Álvaro Hernández ◽  
José M. Villadangos ◽  
Mohsen Machhout ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Experimental Tests ◽  
Indoor Positioning ◽  
Location Based Services ◽  
Smart Devices ◽  
Final Position ◽  
Positioning Systems ◽  
Local Positioning System ◽  
Tightly Coupled ◽  
Position Estimate

Indoor positioning systems have become a feasible solution for the current development of multiple location-based services and applications. They often consist of deploying a certain set of beacons in the environment to create a coverage volume, wherein some receivers, such as robots, drones or smart devices, can move while estimating their own position. Their final accuracy and performance mainly depend on several factors: the workspace size and its nature, the technologies involved (Wi-Fi, ultrasound, light, RF), etc. This work evaluates a 3D ultrasonic local positioning system (3D-ULPS) based on three independent ULPSs installed at specific positions to cover almost all the workspace and position mobile ultrasonic receivers in the environment. Because the proposal deals with numerous ultrasonic emitters, it is possible to determine different time differences of arrival (TDOA) between them and the receiver. In that context, the selection of a suitable fusion method to merge all this information into a final position estimate is a key aspect of the proposal. A linear Kalman filter (LKF) and an adaptive Kalman filter (AKF) are proposed in that regard for a loosely coupled approach, where the positions obtained from each ULPS are merged together. On the other hand, as a tightly coupled method, an extended Kalman filter (EKF) is also applied to merge the raw measurements from all the ULPSs into a final position estimate. Simulations and experimental tests were carried out and validated both approaches, thus providing average errors in the centimetre range for the EKF version, in contrast to errors up to the meter range from the independent (not merged) ULPSs.

scholarly journals Using Mixed Reality (MR) to Improve On-Site Design Experience in Community Planning

2021 ◽  
Vol 11 (7) ◽  
pp. 3071
Author(s):  
Yuze Dan ◽  
Zhenjiang Shen ◽  
Yiyun Zhu ◽  
Ling Huang
Keyword(s):  
Mixed Reality ◽  
3D Visualization ◽  
Community Planning ◽  
Virtual Design ◽  
Design Decisions ◽  
Accurate Design ◽  
Design Support System ◽  
Site Design ◽  
Intuitive Design ◽  
Design Objects

In recent years, designing in existing environments has been consistently emphasized in community planning. However, practicing such on-site design is not easy for designers, because the current technical conditions do not allow virtual design objects into real environments for 3D visualization and interaction. Thus, designers’ intuitive design perceptions, accurate design judgments, and convenient design decisions are hardly supported. This paper explores the possibilities of using mixed reality (MR) technology to improve designers’ on-site design experiences in community planning. For this, we introduced an MR design support system (MR-DSS) for the interactive on-site 3D visualization of virtual design objects. With the MR-DSS, we performed a design experiment with sixteen participants in a typical on-site design scene of community planning. The results showed that the MR technology could provide designers with intuitive design perceptions, accurate design judgments, and convenient design decisions, thus effectively improving their on-site design experiences.

scholarly journals POSSIBILITIES OF THE APPLICATION OF THREE-DIMENSIONAL TECHNOLOGIES AND MODERN TECHNOLOGICAL MEANS IN THE CRIME INVESTIGATION ACTIVITY

2018 ◽  
Vol 18 ◽  
pp. 98-105
Author(s):  
N. V. Pavliuk
Keyword(s):  
Digital Media ◽  
Technology Use ◽  
Laser Scanning ◽  
3D Model ◽  
Imaging System ◽  
3D Visualization ◽  
Three Dimensional ◽  
Scanning System ◽  
Crime Reconstruction ◽  
Technological Means

The issues related to the introduction of innovative methods, technologies and technological means in the investigation of crimes are considered. It is noted that one of the main directions of the development of Criminalistics is the assimilation of the virtual reality associated with computerization of spheres of life, implementation of modern technologies and their use in law enforcement. Technology use of laser scanning of terrain and objects resulting in 3D model is produced allows several times to increase informative value of data collected at the incident scene, provides a visual and convenient visualization in three-dimensional form. As against photo and video images, 3D model has a stereoscopic image and the ability to freely change the angle while viewing. Besides to scanning results can be stored on any digital media without the possibility of changes or adjustments. Attention is focused on the technological capabilities of 3D-visualization systems on examples of their use in foreign countries as technological means of capturing the situation of the scene and the subsequent of a crime reconstruction. Thus, using a portable three-dimensional imaging system for working with volumetric traces at a crime scene, it is possible to obtain accurate three-dimensional images of traces of protectors or footprints (shoes) on soil and snow. This system is an alternative to traditional methods of fixing evidence: photofixing and making plaster casts. Unlike other systems, new approach does not require the use of lasers. The expediency of expanding the range of 3D laser scanning system use in modern investigative and judicial practice of our state with the aim of increasing the level of provision of pre-trial investigation authorities with technological means and bringing it closer to European standards is argued.

Building a Visual Analytics Tool for Location-Based Services

2016 ◽  
pp. 620-642 ◽  
Author(s):  
Erdem Kaya ◽  
Mustafa Tolga Eren ◽  
Candemir Doger ◽  
Selim Saffet Balcisoy
Keyword(s):  
Visual Analytics ◽  
3D Visualization ◽  
Location Based Services ◽  
Task Completion ◽  
Temporal Data ◽  
Density Map ◽  
Spatio Temporal ◽  
Visualization Techniques ◽  
Analytical Tools ◽  
2D And 3D

Conventional visualization techniques and tools may need to be modified and tailored for analysis purposes when the data is spatio-temporal. However, there could be a number of pitfalls for the design of such analysis tools that completely rely on the well-known techniques with well-known limitations possibly due to the multidimensionality of spatio-temporal data. In this chapter, an experimental study to empirically testify whether widely accepted advantages and limitations of 2D and 3D representations are valid for the spatio-temporal data visualization is presented. The authors implemented two simple representations, namely density map and density cube, and conducted a laboratory experiment to compare these techniques from task completion time and correctness perspectives. Results of the experiment revealed that the validity of the generally accepted properties of 2D and 3D visualization needs to be reconsidered when designing analytical tools to analyze spatio-temporal data.

CBDR: An efficient storage repository for cultural big data

2019 ◽  
Vol 35 (4) ◽  
pp. 893-903 ◽  
Author(s):  
Seemu Sharma ◽  
Seema Bawa
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
High Performance ◽  
Big Data Analytics ◽  
Data Repository ◽  
Common People ◽  
Data Repositories ◽  
Storage And Retrieval ◽  
Efficient Storage ◽  
Cultural Data

Abstract Cultural data and information on the web are continuously increasing, evolving, and reshaping in the form of big data due to globalization, digitization, and its vast exploration, with common people realizing the importance of ancient values. Therefore, before it becomes unwieldy and too complex to manage, its integration in the form of big data repositories is essential. This article analyzes the complexity of the growing cultural data and presents a Cultural Big Data Repository as an efficient way to store and retrieve cultural big data. The repository is highly scalable and provides integrated high-performance methods for big data analytics in cultural heritage. Experimental results demonstrate that the proposed repository outperforms in terms of space as well as storage and retrieval time of Cultural Big Data.

scholarly journals Improved Recommender for Location Privacy Preferences

2015 ◽  
Vol 8 (4) ◽  
pp. 64
Author(s):  
Anas A. Hadi ◽  
Jonathan Cazalas
Keyword(s):  
Machine Learning ◽  
Collaborative Filtering ◽  
Location Privacy ◽  
Integrated Model ◽  
Location Based Services ◽  
Training Data ◽  
Smart Devices ◽  
Privacy Preferences ◽  
Privacy Issues

Location-based services are one of the fastest growing technologies. Millions of users are using these services and sharing their locations using their smart devices. The popularity of using such applications, while enabling others to access user’s location, brings with it many privacy issues. The user has the ability to set his location privacy preferences manually. Many users face difficulties in order to set their preferences in the proper way. One solution is to use machine learning based methods to predict location privacy preferences automatically. These models suffer from degraded performance when there is no sufficient training data. Another solution is to make the decision for the intended user, depending on the collected opinions from similar users. <em>User-User Collaborative Filtering (CF)</em> is an example within this category. In this paper, we will introduce an improved machine learning based predictor. The results show significant improvements in the performance. The accuracy was improved from 75.30% up to 84.82%, while the privacy leak was reduced from 11.75% up to 7.65%. We also introduced an integrated model which combines both machine learning based methods and collaborative filtering based methods in order to get the advantages from both of them.

scholarly journals An Approach for Integrating Mixed Reality into BIM for Early Stage Design Coordination

2020 ◽  
Vol 312 ◽  
pp. 04001
Author(s):  
Abhinesh Prabhakaran ◽  
Abdul-Majeed Mahamadu ◽  
Lamine Mahdjoubi ◽  
Patrick Manu
Keyword(s):  
Mixed Reality ◽  
3D Visualization ◽  
Early Stage ◽  
Stage Design ◽  
Single Interface ◽  
Architectural Engineering ◽  
Design Coordination ◽  
Building Information ◽  
Early Stage Design ◽  
The Impact

Building Information Modelling (BIM) and its associated technologies have proved to be one of the most promising developments in the Architectural, Engineering and Construction (AEC) industry. Over the past few decades, the AEC sector has been restricted in its communication of design as a result of single interface methods based on 2D and 3D visualization of information. Thus, most issues with respect to construction are identified fairly late, resulting in costly changes. With the introduction of BIM, many other approaches to data visualization can be leveraged including Mixed Reality (MR) applications for the virtual representation of spaces and objects beyond 3D. MR offers a revolution in the virtual representation of objects and space through context awareness as well as the incorporation of information beyond 3D offering countless opportunities for more effective design visualization and coordination. Despite the capability of MR, however, few examples exist of its application to design coordination in the AEC. In addressing this gap this study proposes a novel methodology for the application of MR in design coordination as well as investigates the impact of introducing MR into BIM workflow with a focus on the identification and avoidance of clashes. A prototypical model of the MR design coordination is presented and discussed. Findings indicate that MR improves design productivity and quality but also highlights potential infrastructure issues inhibiting the mainstreaming of MR for design practice.

scholarly journals Location Proof Systems for Smart Internet of Things: Requirements, Taxonomy, and Comparative Analysis

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1776
Author(s):  
Faheem Zafar ◽  
Abid Khan ◽  
Adeel Anjum ◽  
Carsten Maple ◽  
Munam Ali Shah
Keyword(s):  
Comparative Analysis ◽  
Internet Of Things ◽  
Asset Management ◽  
Location Based Services ◽  
Smart Devices ◽  
Proof Systems ◽  
Health Care Supply ◽  
The Common ◽  
Health Care Supply Chain ◽  
Location Proof

In the current hyper-connected, data-driven era, smart devices are providing access to geolocation information, enabling a paradigm shift in diverse domains. Location proof systems utilize smart devices to provide witnessed proof of location to enable secure location-based services (LBS). Applications of location proof systems include safety, asset management and operations monitoring in health care, supply chain tracking, and Internet-of-Things (IoT)-based location intelligence in businesses. In this paper, we investigate the state of the art in location proof systems, examining design challenges and implementation considerations for application in the real world. To frame the analysis, we have developed a taxonomy of location proof systems and performed a comparative analysis over the common attributes, highlighting their strength and weaknesses. Furthermore, we have identified future trends for this increasingly important area of investigation and development.

Building a Visual Analytics Tool for Location-Based Services

Big Data ◽  
2016 ◽  
pp. 615-637
Author(s):  
Erdem Kaya ◽  
Mustafa Tolga Eren ◽  
Candemir Doger ◽  
Selim Saffet Balcisoy
Keyword(s):  
Visual Analytics ◽  
3D Visualization ◽  
Location Based Services ◽  
Task Completion ◽  
Temporal Data ◽  
Density Map ◽  
Spatio Temporal ◽  
Visualization Techniques ◽  
Analytical Tools ◽  
2D And 3D

Conventional visualization techniques and tools may need to be modified and tailored for analysis purposes when the data is spatio-temporal. However, there could be a number of pitfalls for the design of such analysis tools that completely rely on the well-known techniques with well-known limitations possibly due to the multidimensionality of spatio-temporal data. In this chapter, an experimental study to empirically testify whether widely accepted advantages and limitations of 2D and 3D representations are valid for the spatio-temporal data visualization is presented. The authors implemented two simple representations, namely density map and density cube, and conducted a laboratory experiment to compare these techniques from task completion time and correctness perspectives. Results of the experiment revealed that the validity of the generally accepted properties of 2D and 3D visualization needs to be reconsidered when designing analytical tools to analyze spatio-temporal data.

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