Supporting the Assembly Process by Leveraging Augmented Reality, Cloud Computing, and Mobile Devices

2012 ◽  
Vol 2 (3) ◽  
pp. 86-102 ◽  
Author(s):  
Javier Gonzalez-Sanchez ◽  
Quincy Conley ◽  
Maria-Elena Chavez-Echeagaray ◽  
Robert K. Atkinson
Keyword(s):  
Cloud Computing ◽  
Augmented Reality ◽  
Mobile Devices ◽  
Assembly Process ◽  
Industrial Setting ◽  
Wide Range ◽  
Innovative System ◽  
Educational Applications ◽  
Product Assembly ◽  
Domain Independent

The assembly process is often very complex and involved, collecting and managing a significant number of parts in an intricate manner. Because the quality of a product is in large part impacted by the assembly process, intuitive and carefully scaffolded guidelines can make a difference in how fast and how accurate an assembler can complete the assembly process. To this end, the authors propose an innovative system that leverages three current and emerging technologies; augmented reality (AR), cloud computing, and mobile devices, to create an Augmented Reality Product Assembly (ARPA) system. This paper describes the total framework for creating the ARPA system. They also discuss how the system leverages augmented reality visualizations for repurposing user-generated assembly guidelines by incorporating cloud-based computing. Although the authors situate ARPA’s use in an industrial setting, it is domain-independent and able to support a wide range of practical and educational applications.

scholarly journals Flexible computation offloading in a fuzzy-based mobile edge orchestrator for IoT applications

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
VanDung Nguyen ◽  
Tran Trong Khanh ◽  
Tri D. T. Nguyen ◽  
Choong Seon Hong ◽  
Eui-Nam Huh
Keyword(s):  
Cloud Computing ◽  
Augmented Reality ◽  
Mobile Devices ◽  
Computing System ◽  
Mobile User ◽  
Computation Offloading ◽  
Context Aware ◽  
Computing Systems ◽  
Iot Applications ◽  
Service Times

AbstractIn the Internet of Things (IoT) era, the capacity-limited Internet and uncontrollable service delays for various new applications, such as video streaming analysis and augmented reality, are challenges. Cloud computing systems, also known as a solution that offloads energy-consuming computation of IoT applications to a cloud server, cannot meet the delay-sensitive and context-aware service requirements. To address this issue, an edge computing system provides timely and context-aware services by bringing the computations and storage closer to the user. The dynamic flow of requests that can be efficiently processed is a significant challenge for edge and cloud computing systems. To improve the performance of IoT systems, the mobile edge orchestrator (MEO), which is an application placement controller, was designed by integrating end mobile devices with edge and cloud computing systems. In this paper, we propose a flexible computation offloading method in a fuzzy-based MEO for IoT applications in order to improve the efficiency in computational resource management. Considering the network, computation resources, and task requirements, a fuzzy-based MEO allows edge workload orchestration actions to decide whether to offload a mobile user to local edge, neighboring edge, or cloud servers. Additionally, increasing packet sizes will affect the failed-task ratio when the number of mobile devices increases. To reduce failed tasks because of transmission collisions and to improve service times for time-critical tasks, we define a new input crisp value, and a new output decision for a fuzzy-based MEO. Using the EdgeCloudSim simulator, we evaluate our proposal with four benchmark algorithms in augmented reality, healthcare, compute-intensive, and infotainment applications. Simulation results show that our proposal provides better results in terms of WLAN delay, service times, the number of failed tasks, and VM utilization.

High Performance Computing on Mobile Devices

2016 ◽  
pp. 334-348
Author(s):  
Atta ur Rehman Khan ◽  
Abdul Nasir Khan
Keyword(s):  
Cloud Computing ◽  
High Performance Computing ◽  
Mobile Devices ◽  
High Performance ◽  
Mobile Cloud Computing ◽  
Computation Offloading ◽  
Mobile Cloud ◽  
Computing Technology ◽  
Wide Range ◽  
Performance Computing

Mobile devices are gaining high popularity due to support for a wide range of applications. However, the mobile devices are resource constrained and many applications require high resources. To cater to this issue, the researchers envision usage of mobile cloud computing technology which offers high performance computing, execution of resource intensive applications, and energy efficiency. This chapter highlights importance of mobile devices, high performance applications, and the computing challenges of mobile devices. It also provides a brief introduction to mobile cloud computing technology, its architecture, types of mobile applications, computation offloading process, effective offloading challenges, and high performance computing application on mobile devises that are enabled by mobile cloud computing technology.

scholarly journals A markerless augmented reality system for mobile devices

2021 ◽  
Author(s):  
Alex Ufkes
Keyword(s):  
Augmented Reality ◽  
Mobile Devices ◽  
Hybrid Algorithm ◽  
Feature Matching ◽  
Fiducial Markers ◽  
Textured Surfaces ◽  
Augmented Reality System ◽  
Camera View ◽  
Wide Range ◽  
World Environment

Augmented Reality (AR) combines a live camera view of a real world environment with computer-generated virtual content. Alignment of these viewpoints is done by recognizing artificial fiducial markers, or, more recently, natural features already present in the environment. This is known as Marker-based and Markerless AR respectively. We present a markerless AR system that is not limited to artificial markers, but is capable of rendering augmentations over user-selected textured surfaces, or ‘maps’. The system stores and differentiates between multiple maps, all created online. Once recognized, maps are tracked using a hybrid algorithm based on feature matching and inlier tracking. With the increasing ubiquity and capability of mobile devices, we believe it is possible to perform robust, markerless AR on current generation tablets and smartphones. The proposed system is shown to operate in real-time on mobile devices, and generate robust augmentations under a wide range of map compositions and viewing conditions.

scholarly journals Multilevel Central Trust Management Approach for Task Scheduling on IoT-Based Mobile Cloud Computing

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 108
Author(s):  
Abid Ali ◽  
Muhammad Munawar Iqbal ◽  
Harun Jamil ◽  
Habib Akbar ◽  
Ammar Muthanna ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Task Scheduling ◽  
Mobile Cloud Computing ◽  
Computing Time ◽  
Management Approach ◽  
Mobile Cloud ◽  
Distribution Method ◽  
Wide Range ◽  
Iot Devices

With the increasing number of mobile devices and IoT devices across a wide range of real-life applications, our mobile cloud computing devices will not cope with this growing number of audiences soon, which implies and demands the need to shift to fog computing. Task scheduling is one of the most demanding scopes after the trust computation inside the trustable nodes. The mobile devices and IoT devices transfer the resource-intensive tasks towards mobile cloud computing. Some tasks are resource-intensive and not trustable to allocate to the mobile cloud computing resources. This consequently gives rise to trust evaluation and data sync-up of devices joining and leaving the network. The resources are more intensive for cloud computing and mobile cloud computing. Time, energy, and resources are wasted due to the nontrustable nodes. This research article proposes a multilevel trust enhancement approach for efficient task scheduling in mobile cloud environments. We first calculate the trustable tasks needed to offload towards the mobile cloud computing. Then, an efficient and dynamic scheduler is added to enhance the task scheduling after trust computation using social and environmental trust computation techniques. To improve the time and energy efficiency of IoT and mobile devices using the proposed technique, the energy computation and time request computation are compared with the existing methods from literature, which identified improvements in the results. Our proposed approach is centralized to tackle constant SyncUPs of incoming devices’ trust values with mobile cloud computing. With the benefits of mobile cloud computing, the centralized data distribution method is a positive approach.

scholarly journals A markerless augmented reality system for mobile devices

2021 ◽  
Author(s):  
Alex Ufkes
Keyword(s):  
Augmented Reality ◽  
Mobile Devices ◽  
Hybrid Algorithm ◽  
Feature Matching ◽  
Fiducial Markers ◽  
Textured Surfaces ◽  
Augmented Reality System ◽  
Camera View ◽  
Wide Range ◽  
World Environment

Augmented Reality (AR) combines a live camera view of a real world environment with computer-generated virtual content. Alignment of these viewpoints is done by recognizing artificial fiducial markers, or, more recently, natural features already present in the environment. This is known as Marker-based and Markerless AR respectively. We present a markerless AR system that is not limited to artificial markers, but is capable of rendering augmentations over user-selected textured surfaces, or ‘maps’. The system stores and differentiates between multiple maps, all created online. Once recognized, maps are tracked using a hybrid algorithm based on feature matching and inlier tracking. With the increasing ubiquity and capability of mobile devices, we believe it is possible to perform robust, markerless AR on current generation tablets and smartphones. The proposed system is shown to operate in real-time on mobile devices, and generate robust augmentations under a wide range of map compositions and viewing conditions.

Augmented Reality and Mobile Technologies

2011 ◽  
pp. 212-230 ◽  
Author(s):  
Grant Potter
Keyword(s):  
Virtual Reality ◽  
Augmented Reality ◽  
Power Consumption ◽  
Mobile Devices ◽  
New Technology ◽  
Network Connectivity ◽  
Mobile Technologies ◽  
Public And Private ◽  
The Past ◽  
Wide Range

Unlike Virtual Reality (VR) that attempts to replace the perception of an immediate environment with an artificial one, Augmented Reality (AR) applications aim to enhance a person’s perception of their immediate environment. A blend of both the virtual and the real, AR application interfaces on mobile devices display information that is dependent on users’ time and location. AR applications are not necessarily an entirely new technology and have been emerging in various sectors over the past 5 years. For example, in aviation, AR in the form of ‘heads-up-displays’ has been used to display important data to pilots for decades. As mobile devices diversify in their speed, power consumption needs, network connectivity, and locative functions, developers are able to port AR applications to next generation mobile handsets, opening a wide range of utility and potential across public and private sectors.

A Study for VM Placement Schemes in Cloud

2017 ◽  
Vol 7 (8) ◽  
pp. 208
Author(s):  
Ramandeep Kaur ◽  
Navpreet Kaur
Keyword(s):  
Cloud Computing ◽  
Reaction Time ◽  
Task Scheduling ◽  
Specific Time ◽  
Due Date ◽  
Vm Placement ◽  
Time Task ◽  
Wide Range ◽  
The Web

The cloud computing can be essentially expressed as aconveyance of computing condition where distinctive assets are conveyed as a support of the client or different occupants over the web. The task scheduling basically concentrates on improving the productive use of assets and henceforth decrease in task fruition time. Task scheduling is utilized to allot certain tasks to specific assets at a specific time occurrence. A wide range of systems has been exhibited to take care of the issues of scheduling of various tasks. Task scheduling enhances the productive use of asset and yields less reaction time with the goal that the execution of submitted tasks happens inside a conceivable least time. This paper talks about the investigation of need, length and due date based task scheduling calculations utilized as a part of cloud computing.

scholarly journals Synthesis and Advanced Characterization of Polymer-Protein Core-Shell Nanoparticles

Catalysts ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 730
Author(s):  
Erik Sarnello ◽  
Tao Li
Keyword(s):  
Particle Size ◽  
Small Angle ◽  
Core Shell ◽  
Assembly Process ◽  
Shell Nanoparticles ◽  
X Ray ◽  
X Ray Scattering ◽  
Wide Range ◽  
Core Shell Nanoparticles ◽  
Ray Scattering

Enzyme immobilization techniques are widely researched due to their wide range of applications. Polymer–protein core–shell nanoparticles (CSNPs) have emerged as a promising technique for enzyme/protein immobilization via a self-assembly process. Based on the desired application, different sizes and distribution of the polymer–protein CSNPs may be required. This work systematically studies the assembly process of poly(4-vinyl pyridine) and bovine serum albumin CSNPs. Average particle size was controlled by varying the concentrations of each reagent. Particle size and size distributions were monitored by dynamic light scattering, ultra-small-angle X-ray scattering, small-angle X-ray scattering and transmission electron microscopy. Results showed a wide range of CSNPs could be assembled ranging from an average radius as small as 52.3 nm, to particles above 1 µm by adjusting reagent concentrations. In situ X-ray scattering techniques monitored particle assembly as a function of time showing the initial particle growth followed by a decrease in particle size as they reach equilibrium. The results outline a general strategy that can be applied to other CSNP systems to better control particle size and distribution for various applications.

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