An Efficient Cloud Framework for Multi-Robot System Management

2021 ◽  
Author(s):  
Raihan Kabir ◽  
Yutaka Watanobe ◽  
Keita Nakamura ◽  
Rashedul Islam ◽  
Keitaro Naruse
Keyword(s):  
Data Analysis ◽  
Mobile Robot ◽  
Knowledge Sharing ◽  
Resource Sharing ◽  
Cloud Service ◽  
Management Communication ◽  
Database Model ◽  
Cloud Database ◽  
Cloud Framework ◽  
Multi Robot

Efficient knowledge sharing, computation load minimization, and collision-free movement are very important issues in the field of multi-robot automation. Several cloud robot architectures have been investigated to fulfill these requirements. However, the performance of the cloud-robot architectures created to date are suboptimal due to the lack of efficient data management for multi-robotic systems. With this point in mind, this paper proposes an efficient cloud multi-robot framework with cloud database model for mobile robot applications to facilitate multi-robot management, communication, and resource sharing. In this proposed architecture, the cloud framework is comprised with cloud data analysis, cloud database management, and cloud service management. The data analysis serves different data processing and decision-making tasks for generating the next robot action based on robot sensors’ data with the help of a data access components layer. A multistage cloud database model distributes, stores, and accesses different categories of data related to robot sensors and environments. And cloud service facilitates multi-robot management, communication, and resource sharing in the cloud framework. Additionally, as a use case, a cloud-based convolutional neural network (CNN) model is introduced for learning and recognizing robot application data. The obtained results of our tests indicate that the proposed cloud-robot architecture provides efficient computation power, communications, and knowledge sharing for managing multi-mobile robot systems.

Knowledge Sharing and Evolution of Industrial Cloud Robotics

2018 ◽  
Author(s):  
Lixue Jin ◽  
Wenjun Xu ◽  
Zhihao Liu ◽  
Junwei Yan ◽  
Zude Zhou ◽  
...  
Keyword(s):  
Knowledge Sharing ◽  
Resource Sharing ◽  
Industrial Robot ◽  
Cloud Service ◽  
Semantic Knowledge ◽  
Industrial Robots ◽  
Online Data ◽  
Knowledge Evolution ◽  
Cloud Robotics ◽  
Industrial Cloud

Industrial Cloud Robotics (ICR), with the characteristics of resource sharing, lower cost and convenient access, etc., can realize the knowledge interaction and coordination among cloud Robotics (CR) through the knowledge sharing mechanism. However, the current researches mainly focus on the knowledge sharing of service-oriented robots and the knowledge updating of a single robot. The interaction and collaboration among robots in a cloud environment still have challenges, such as the improper updating of knowledge, the inconvenience of online data processing and the inflexibility of sharing mechanism. In addition, the industrial robot (IR) also lacks a well-developed knowledge management framework in order to facilitate the knowledge evolution of industrial robots. In this paper, a knowledge evolution mechanism of ICR based on the approach of knowledge acquisition - interactive sharing - iterative updating is established, and a novel architecture of ICR knowledge sharing is also developed. Moreover, the semantic knowledge in the robot system can encapsulate knowledge of manufacturing tasks, robot model and scheme decision into the cloud manufacturing process. As new manufacturing tasks arrived, the robot platform downloads task-oriented knowledge models from the cloud service platform, and then selects the optimal service composition and updates the cloud knowledge by simulation iterations. Finally, the feasibility and effectiveness of the proposed architecture and approaches are demonstrated through the case studies.

A New User Implicit Requirements Process Method Oriented to Product Design

2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Qi Guo ◽  
Chengqi Xue ◽  
Mingjiu Yu ◽  
Zhangfan Shen
Keyword(s):  
Product Design ◽  
Resource Sharing ◽  
Collaborative Design ◽  
Cloud Service ◽  
User Requirements ◽  
User Requirement ◽  
Service Platform ◽  
Design And Optimization ◽  
Design Activities ◽  
Cloud Service Platform

User requirements play an important role in product design activities. Customer satisfaction has a direct bearing on the acquisition of user requirements for product design. However, these implicit requirements are equipped with the attributes of potentiality, fuzziness, and subjectivity. In this paper, a new implicit user requirement processing method based on a cloud service platform is proposed to resolve the difficulty of acquiring implicit requirements. Initially, this method collects user requirement data via a metaphor extraction technique using a cloud service platform. Then, the requirement data are clustered and mapped with product attributes. Finally, the mapping results are visualized to intuitively instruct product design and optimization. Overall, the method is a user-centered innovation paradigm implemented on a cloud service platform to realize collaborative design and resource sharing. Finally, an application case is presented to illustrate the method, and the results indicate that the method is effective and could serve as a reference for product design.

scholarly journals Bio-Docklets: Virtualization Containers for Single-Step Execution of NGS Pipelines

2017 ◽  
Author(s):  
Baekdoo Kim ◽  
Thahmina Ali ◽  
Carlos Lijeron ◽  
Enis Afgan ◽  
Konstantinos Krampis
Keyword(s):  
Data Analysis ◽  
Cloud Service ◽  
Application Programming Interface ◽  
Single Step ◽  
Easy Access ◽  
Complex Data ◽  
The Galaxy ◽  
Ngs Data Analysis ◽  
Single Data ◽  
Ngs Data

ABSTRACTBackgroundProcessing of Next-Generation Sequencing (NGS) data requires significant technical skills, involving installation, configuration, and execution of bioinformatics data pipelines, in addition to specialized post-analysis visualization and data mining software. In order to address some of these challenges, developers have leveraged virtualization containers, towards seamless deployment of preconfigured bioinformatics software and pipelines on any computational platform.FindingsWe present an approach for abstracting the complex data operations of multi-step, bioinformatics pipelines for NGS data analysis. As examples, we have deployed two pipelines for RNAseq and CHIPseq, pre-configured within Docker virtualization containers we call Bio-Docklets. Each Bio-Docklet exposes a single data input and output endpoint and from a user perspective, running the pipelines is as simple as running a single bioinformatics tool. This is achieved through a “meta-script” that automatically starts the Bio-Docklets, and controls the pipeline execution through the BioBlend software library and the Galaxy Application Programming Interface (API). The pipelne output is post-processed using the Visual Omics Explorer (VOE) framework, providing interactive data visualizations that users can access through a web browser.ConclusionsThe goal of our approach is to enable easy access to NGS data analysis pipelines for nonbioinformatics experts, on any computing environment whether a laboratory workstation, university computer cluster, or a cloud service provider,. Besides end-users, the Bio-Docklets also enables developers to programmatically deploy and run a large number of pipeline instances for concurrent analysis of multiple datasets.

scholarly journals Study on the System Design of Campus Resource Sharing Platform

2021 ◽  
Vol 235 ◽  
pp. 02038
Author(s):  
Xi Zeng ◽  
Yu Zhou ◽  
Xuqi Chen
Keyword(s):  
College Students ◽  
Data Analysis ◽  
System Design ◽  
Resource Sharing ◽  
The Internet ◽  
User Research ◽  
Function Point ◽  
User Groups ◽  
Commodity Trading ◽  
The Times

The development of the times and the development of the Internet have changed people’s consumption concepts. The author has conducted user research on user groups such as college students. After data analysis, the demand for resource sharing and trading of second-hand goods of college students was transformed into the function point of the trading platform. The APP was designed and developed to solve the needs of college students to share and exchange resources on campus. The APP’s main functions are second-hand commodity trading and virtual resource trading.

Construction of a one-stop document supply service platform

2014 ◽  
Vol 42 (2/3) ◽  
pp. 120-124
Author(s):  
Lijun Zeng ◽  
Xiaoxia Yao ◽  
Juanjuan Liu ◽  
Qiang Zhu
Keyword(s):  
Resource Sharing ◽  
Service System ◽  
Academic Library ◽  
Information Service ◽  
Cloud Service ◽  
File Transfer ◽  
Service Platform ◽  
Content Type ◽  
Application Systems ◽  
One Stop

Purpose – The purpose of this paper is to provide a detailed overview of the China Academic Library and Information system (CALIS) document supply service platform (CDSSP) – its historical development, network structure and future development plans – and discuss how its members make use of and benefit from its various components. Design/methodology/approach – The authors provide a first-person account based on their professional positions at the CALIS Administrative Center. Findings – CDSSP comprises five application systems including a unified authentication system, Saas-based interlibrary loan (ILL) and document delivery (DD) service system, ILL central scheduling and settlement system, File Transfer Protocol (FTP) service system and a service integration interface system. These systems work together to meet the needs of member libraries, other information service institutions, and their end users. CDSSP is widely used by more than 1,100 libraries based on a cloud service strategy. Each year more than 100,000 ILL and DD transactions are processed by this platform. Originality/value – The development of CDSSP makes it becomes true for CALIS to provide one stop information retrieval and supply service. At the same time, it promotes the resource sharing among member libraries to a great degree.

Studying Learning Spaces

2013 ◽  
pp. 14-39 ◽  
Author(s):  
Dana Gierdowski
Keyword(s):  
Science Education ◽  
Data Analysis ◽  
Student Engagement ◽  
Knowledge Sharing ◽  
Empirical Studies ◽  
Learning Spaces ◽  
Multiple Targets ◽  
Learning Space ◽  
Innovative Methods ◽  
Future Learning

The author presents a review of empirical studies of learning spaces conducted primarily in the disciplines of science education and library sciences to aid researchers in the design of future learning space assessments. The studies included a variety of perspectives, such as examinations of spaces on learning outcomes, student engagement, and pedagogy. The selections also represent varying methods, including surveys, observations, and interviews, and include both quantitative and qualitative data analysis. This review of literature suggests that learning space studies should be designed to include multiple targets and approaches, as well as innovative methods combined with traditional methods for triangulation. Learning space researchers should also strive for detailed reporting and wider dissemination of their studies for better knowledge sharing in the field.

scholarly journals eHealth Cloud Security Challenges: A Survey

2019 ◽  
Vol 2019 ◽  
pp. 1-15 ◽  
Author(s):  
Yazan Al-Issa ◽  
Mohammad Ashraf Ottom ◽  
Ahmed Tamrawi
Keyword(s):  
Cloud Computing ◽  
Resource Sharing ◽  
Energy Savings ◽  
Service Providers ◽  
Healthcare Providers ◽  
Cloud Service ◽  
Cloud Security ◽  
Security And Privacy ◽  
Healthcare Industry ◽  
Sensitive Data

Cloud computing is a promising technology that is expected to transform the healthcare industry. Cloud computing has many benefits like flexibility, cost and energy savings, resource sharing, and fast deployment. In this paper, we study the use of cloud computing in the healthcare industry and different cloud security and privacy challenges. The centralization of data on the cloud raises many security and privacy concerns for individuals and healthcare providers. This centralization of data (1) provides attackers with one-stop honey-pot to steal data and intercept data in-motion and (2) moves data ownership to the cloud service providers; therefore, the individuals and healthcare providers lose control over sensitive data. As a result, security, privacy, efficiency, and scalability concerns are hindering the wide adoption of the cloud technology. In this work, we found that the state-of-the art solutions address only a subset of those concerns. Thus, there is an immediate need for a holistic solution that balances all the contradicting requirements.

scholarly journals A Multi-Robot Formation Platform based on an Indoor Global Positioning System

2019 ◽  
Vol 9 (6) ◽  
pp. 1165
Author(s):  
Hong’an Yang ◽  
Xuefeng Bao ◽  
Shaohua Zhang ◽  
Xu Wang
Keyword(s):  
Mobile Robot ◽  
Global Positioning System ◽  
Formation Control ◽  
Transmission Control Protocol ◽  
Indoor Navigation ◽  
Wheeled Mobile Robot ◽  
Positioning System ◽  
Position Information ◽  
Global Positioning ◽  
Multi Robot

Aimed at the problem that experimental verifications are difficult to execute due to lacking effective experimental platforms in the research field of multi-robot formation, we design a simple multi-robot formation platform. This proposed general and low-cost multi-robot formation platform includes the indoor global-positioning system, the multi-robot communication system, and the wheeled mobile robot hardware. For each wheeled mobile robot in our platform, its real-time position information in the centimeter‑level precise is obtained by the Marvelmind Indoor Navigation System and orientation information is obtained by the six-degree-of-freedom gyroscope. The Transmission Control Protocol/Internet Protocol (TCP/IP) wireless communication infrastructure is selected to support the communication among robots and the data collection in the process of experiments. Finally, a set of leader–follower formation experiments are performed by our platform, which include three trajectory tracking experiments of different types and numbers under deterministic environment and a formation-maintaining experiment with external disturbances. The results illustrate that our multi-robot formation platform can be effectively used as a general testbed to evaluate and verify the feasibility and correctness of the theoretical methods in the multi-robot formation. What is more, the proposed simple and general formation platform is beneficial to the development of platforms in the fields of multi-robot coordination, formation control, and search and rescue missions.

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