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1
Shakya, Dr Subarna. "Survey on Cloud Based Robotics Architecture, Challenges and Applications." Journal of Ubiquitous Computing and Communication Technologies 2, no. 1 (March 11, 2020): 10–18. http://dx.doi.org/10.36548/jucct.2020.1.002.
Повний текст джерелаАнотація:
The emergence of the cloud computing, and the other advanced technologies has made possible the extension of the computing and the data distribution competencies of the robotics that are networked by developing an cloud based robotic architecture by utilizing both the centralized and decentralized cloud that is manages the machine to cloud and the machine to machine communication respectively. The incorporation of the robotic system with the cloud makes probable the designing of the cost effective robotic architecture that enjoys the enhanced efficiency and a heightened real- time performance. This cloud based robotics designed by amalgamation of robotics and the cloud technologies empowers the web enabled robots to access the services of cloud on the fly. The paper is a survey about the cloud based robotic architecture, explaining the forces that necessitate the robotics merged with the cloud, its application and the major concerns and the challenges endured in the robotics that is integrated with the cloud. The paper scopes to provide a detailed study on the changes influenced by the cloud computing over the industrial robots.
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Ahn, Hyunsik. "A Function as a Service Based Fog Robotic System for Cognitive Robots." Applied Sciences 9, no. 21 (October 27, 2019): 4555. http://dx.doi.org/10.3390/app9214555.
Повний текст джерелаАнотація:
Cloud robotics is becoming an alternative to support advanced services of robots with low computing power as network technology advances. Recently, fog robotics has gained attention since the approach has merit relieving latency and security issues over the conventional cloud robotics. In this paper, a function as a service based fog robotic (FaaS-FR) for cognitive robots is proposed. The model distributes the cognitive functions according to the computational power, latency, and security with a public robot cloud and fog robot server. During the experiment with a Raspberry Pi as an edge, the proposed FaaS-FR model shows efficient and practical performance in the proper distribution of the computational work of the cognitive system.
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Bogue, Robert. "Cloud robotics: a review of technologies, developments and applications." Industrial Robot: An International Journal 44, no. 1 (January 16, 2017): 1–5. http://dx.doi.org/10.1108/ir-10-2016-0265.
Повний текст джерелаАнотація:
Purpose This paper aims to provide an insight into the current state of cloud robotics developments, technology and applications. Design/methodology/approach Following a short introduction, this paper first considers the potential benefits of cloud robotics. It discusses cloud service providers and then considers a range of recent applications and developments involving humanoid, mobile and industrial robots. This is followed by details of some recent market entrants and their developments. Finally, brief concluding comments are drawn. Findings Cloud robotics is a rapidly developing technology made possible by the current ubiquitous internet connectivity and the growing number of powerful cloud computing services available. Benefits include access to big data sets, open-source algorithms, code and programmes, massively powerful parallel or grid computing and the sharing of information between robots. The technology has been applied successfully to humanoid, industrial, mobile and other classes of robots, often through direct collaborations between robot manufacturers and major IT companies. Several new companies have been established in very recent years to exploit the capabilities of cloud robotic technologies. Originality/value Cloud robotics is a highly topical and rapidly developing field, and this paper provides a detailed insight into recent developments and applications.
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Saha, Olimpiya, and Prithviraj Dasgupta. "A Comprehensive Survey of Recent Trends in Cloud Robotics Architectures and Applications." Robotics 7, no. 3 (August 30, 2018): 47. http://dx.doi.org/10.3390/robotics7030047.
Повний текст джерелаАнотація:
Cloud robotics has recently emerged as a collaborative technology between cloud computing and service robotics enabled through progress in wireless networking, large scale storage and communication technologies, and the ubiquitous presence of Internet resources over recent years. Cloud computing empowers robots by offering them faster and more powerful computational capabilities through massively parallel computation and higher data storage facilities. It also offers access to open-source, big datasets and software, cooperative learning capabilities through knowledge sharing, and human knowledge through crowdsourcing. The recent progress in cloud robotics has led to active research in this area spanning from the development of cloud robotics architectures to its varied applications in different domains. In this survey paper, we review the recent works in the area of cloud robotics technologies as well as its applications. We draw insights about the current trends in cloud robotics and discuss the challenges and limitations in the current literature, open research questions and future research directions.
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Romanov, A. M. "A review on control systems hardware and software for robots of various scale and purpose. Part 1. Industrial robotics." Russian Technological Journal 7, no. 5 (October 15, 2019): 30–46. http://dx.doi.org/10.32362/2500-316x-2019-7-5-30-46.
Повний текст джерелаАнотація:
A review of robotic systems is presented. The paper analyzes applied hardware and software solutions and summarizes the most common block diagrams of control systems. The analysis of approaches to control systems scaling, the use of intelligent control, achieving fault tolerance, reducing the weight and size of control system elements belonging to various classes of robotic systems is carried out. The goal of the review is finding common approaches used in various areas of robotics to build on their basis a uniform methodology for designing scalable intelligent control systems for robots with a given level of fault tolerance on a unified component base. This part is dedicated to industrial robotics. The following conclusions are made: scaling in industrial robotics is achieved through the use of the modular control systems and unification of main components; multiple industrial robot interaction is organized using centralized global planning or the use of previously simulated control programs, eliminating possible collisions in working area; intellectual technologies in industrial robotics are used primarily at the strategic level of the control system which is usually non-real time, and in some cases even implemented as a remote cloud service; from the point of view of ensuring fault tolerance, the industrial robots developers are primarily focused on the early prediction of faults and the planned decommissioning of the robots, and are not on highly-avaliability in case of failures; industrial robotics does not impose serious requirements on the dimensions and weight of the control devices.
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Botta, Alessio, Jonathan Cacace, Riccardo De Vivo, Bruno Siciliano, and Giorgio Ventre. "Networking for Cloud Robotics: The DewROS Platform and Its Application." Journal of Sensor and Actuator Networks 10, no. 2 (June 14, 2021): 34. http://dx.doi.org/10.3390/jsan10020034.
Повний текст джерелаАнотація:
With the advances in networking technologies, robots can use the almost unlimited resources of large data centers, overcoming the severe limitations imposed by onboard resources: this is the vision of Cloud Robotics. In this context, we present DewROS, a framework based on the Robot Operating System (ROS) which embodies the three-layer, Dew-Robotics architecture, where computation and storage can be distributed among the robot, the network devices close to it, and the Cloud. After presenting the design and implementation of DewROS, we show its application in a real use-case called SHERPA, which foresees a mixed ground and aerial robotic platform for search and rescue in an alpine environment. We used DewROS to analyze the video acquired by the drones in the Cloud and quickly spot signs of human beings in danger. We perform a wide experimental evaluation using different network technologies and Cloud services from Google and Amazon. We evaluated the impact of several variables on the performance of the system. Our results show that, for example, the video length has a minimal impact on the response time with respect to the video size. In addition, we show that the response time depends on the Round Trip Time (RTT) of the network connection when the video is already loaded into the Cloud provider side. Finally, we present a model of the annotation time that considers the RTT of the connection used to reach the Cloud, discussing results and insights into how to improve current Cloud Robotics applications.
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Wang, Fei, Lin Zhang, and Yuanjun Laili. "Multi-granularity service composition in industrial cloud robotics." Robotics and Computer-Integrated Manufacturing 78 (December 2022): 102414. http://dx.doi.org/10.1016/j.rcim.2022.102414.
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Kamburugamuve, Supun, Leif Christiansen, and Geoffrey Fox. "A Framework for Real Time Processing of Sensor Data in the Cloud." Journal of Sensors 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/468047.
Повний текст джерелаАнотація:
We describe IoTCloud, a platform to connect smart devices to cloud services for real time data processing and control. A device connected to IoTCloud can communicate with real time data analysis frameworks deployed in the cloud via messaging. The platform design is scalable in connecting devices as well as transferring and processing data. With IoTCloud, a user can develop real time data processing algorithms in an abstract framework without concern for the underlying details of how the data is distributed and transferred. For this platform, we primarily consider real time robotics applications such as autonomous robot navigation, where there are strict requirements on processing latency and demand for scalable processing. To demonstrate the effectiveness of the system, a robotic application is developed on top of the framework. The system and the robotics application characteristics are measured to show that data processing in central servers is feasible for real time sensor applications.
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Sorrentino, Alessandra, Filippo Cavallo, and Laura Fiorini. "A Plug and Play Transparent Communication Layer for Cloud Robotics Architectures." Robotics 9, no. 1 (March 22, 2020): 17. http://dx.doi.org/10.3390/robotics9010017.
Повний текст джерелаАнотація:
The cloud robotics paradigm aims at enhancing the abilities of robots by using cloud services, but it still poses several challenges in the research community. Most of the current literature focuses on how to enrich specific robotic capabilities, overlooking how to effectively establish communication between the two fields. Our work proposes a “plug-and-play” solution to bridge the communication gap between cloud and robotic applications. The proposed solution is designed based on the mature WebSocket technology and it can be extended to any ROS-based robotic platform. The main contributions of this work are the definition of a reliable autoconnection/autoconfiguration mechanism as well as to outline a scalable communication layer that allows the effective control of multiple robots from multiple users. The “plug-and-play” solution was evaluated in both simulated and real scenarios. In the first case, the presence of users and robots was simulated with Robot Operating System (ROS) nodes running on five machines. In the real scenario, three non-expert users teleoperated, simultaneously, three remote robots by using the proposed communication layer with different networking protocols. Results confirmed the reliability at different levels: at startup (success_rate = 100%); during high-rate communications (message_lost = 0%); in performing open-loop spiral trajectories with enhancement, with respect to similar works; and in the quality of simultaneous teleoperations.
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Oksa, Petri Tapani, and Tarmo Lipping. "Reliability of ROS Networked Mobile Robots." International Journal of Open Source Software and Processes 10, no. 1 (January 2019): 34–48. http://dx.doi.org/10.4018/ijossp.2019010103.
Повний текст джерелаАнотація:
When working remotely with mobile robotics, a reliable wireless communication network becomes essential, especially in large operating regions. As most teleoperated robots rely on standard Wi-Fi communication, network behavior has a crucial effect on autonomous robot control. The main goal of this research is to measure and diagnose the system reliability, roaming issues, and bottlenecks of such data transmission. To study these significant factors, two measurement scenarios were conducted. Measurements consist of two Wi-Fi access points (AP) and a TurtleBot II robot used in two different system set-up configurations. In the first configuration, two APs are connected in bridge mode (LAN connection) and in the second configuration the APs are connected in WDS bridge (Wireless Data Distribution) mode. This article presents the results of Robot Operating System (ROS) IEEE 802.11 network measurements in roaming mode, in wireless bridge mode, and in an extended coverage area employed in WDS mode. Results of data transmission measurements, configurations, and evaluation of the entire system are also presented. All the measurements utilize the Open Cloud Robotic Platform (OpenCRP)1 an open-source cloud robotics ecosystem based on service-oriented PaaS architecture using the Ubuntu Linux operating system.
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Ermacora, Gabriele, Stefano Rosa, and Antonio Toma. "Fly4SmartCity: A cloud robotics service for smart city applications." Journal of Ambient Intelligence and Smart Environments 8, no. 3 (April 27, 2016): 347–58. http://dx.doi.org/10.3233/ais-160374.
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Begum, Shahina, Moris Behnam, Thomas Larsson, Thomas Nolte, and Kristian Sandström. "Towards a compositional service architecture for real-time cloud robotics." ACM SIGBED Review 13, no. 3 (August 2, 2016): 63–64. http://dx.doi.org/10.1145/2983185.2983196.
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Ali, Shimaa S., Abdallah Hammad, and Adly S. Tag Eldien. "FastSLAM 2.0 tracking and mapping as a Cloud Robotics service." Computers & Electrical Engineering 69 (July 2018): 412–21. http://dx.doi.org/10.1016/j.compeleceng.2017.11.012.
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FLORES MONTAÑO, LUIS ALBERTO, JUAN CARLOS HERRERA LOZADA, JACOBO SANDOVAL GUTIERREZ, RODRIGO VAZQUEZ LOPEZ, and DANIEL LIBRADO MARTINEZ VAZQUEZ. "CIBERSECURITY ON INTERNET OF ROBOTICS THINGS: EXPERIMENTAL PLATFORM." DYNA 96, no. 5 (September 1, 2021): 540–45. http://dx.doi.org/10.6036/10022.
Повний текст джерелаАнотація:
The Internet of Robotic Things (IoRT) is a technology that looks for monitoring, operating, and maintaining the tasks of multiple robots through the cloud. However, using these robots in cyberspace has a risk and an inherent problem in cybersecurity. To analyze the implications of this technology, the objective was to design, operate and submit an IoRT system with the default configuration. The proposed methodology consisted of designing an IoRT architecture; implement three robotic platforms linked to the cloud, applying a sniffing and spoofing cyberattacks, assess the impacts, and propose solutions. The experiment used three prototypes: two servo motors, a 6-degree-of-freedom arm, and a workstation with a robot. Additionally, the tools of the experiment were a conventional computer, a Raspberry Pi microcomputer, the Robotic Operative System middleware, the Kali Linux distribution, and the ThingSpeak cloud service. The contributions of the work were three, first it was proven that four types of links are sufficient to homologate, and ensure the integrity, reliability, and availability in the operation of different types of robots. Also, it was possible the connection of these robots even though they are not designed to work on the internet through a slave-robot node link. Finally, a real list of the consequences was obtained, given the vulnerabilities and the attacks tested, as well as some recommendations.Keywords: Cybersecurity, IoRT, Industry 4.0., Common Vulnerabilities and Exposures, Cloud, ROS.
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Gao, Ang, Yansu Hu, Lixin Li, Weijun Duan, and Huisheng Zhang. "A BP Network Control Approach for QoS-Aware MAC in Cloud Robotics." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 36, no. 2 (April 2018): 315–22. http://dx.doi.org/10.1051/jnwpu/20183620315.
Повний текст джерелаАнотація:
The basic idea of Cloud Robotics is dynamically uploading the compute-intensive applications to the cloud, which greatly enhances the intelligence of robots for the high processing and parallel ability of cloud. However, for the nature of uncertainty of mobility, different kinds of applications on robot may have different Quality of service (QoS). The paper proposes a BP network for QoS-aware MAC(BPFD-MAC) in Cloud Robotics form a view control theory, which can support both absolute and relative QoS guarantees while the energy saving. The hard and soft QoS constraints are de-coupled by normalized into a two-level cascade feedback loop. The former is Active Time Loop (AT-Loop) to enforce the absolute QoS guarantee for real-time application and the later is Contention Window Loop (CW-Loop) to enforce the relative QoS guarantee for Best Effort traffics. Finally, the Back-propagating (BP) neuron network based PID is used for self-tuning parameters and controller design. The hardware experiments demonstrate the feasibility of BPFD-MAC. Comparing with FD-MAC, BPFD-MAC has new feature of absolute QoS support and further developed two advantages:In the condition of heavy loads, BPFD have about 18% great throughput and 14% great power efficient; and in light load, BPFD have lower total energy consumption.
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Russo, Ludovico, Stefano Rosa, Marcello Maggiora, and Basilio Bona. "A Novel Cloud-Based Service Robotics Application to Data Center Environmental Monitoring." Sensors 16, no. 8 (August 8, 2016): 1255. http://dx.doi.org/10.3390/s16081255.
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Feng, Jie Xu, Guannan Si, and Fengyu Zhou. "Overview and Framework of Quality Service Metrics for Cloud-Based Robotics Platforms." IEEE Access 8 (2020): 185885–98. http://dx.doi.org/10.1109/access.2020.3030069.
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Huh, Eui-Nam, and Md Imtiaz Hossain. "Brainware Computing: Concepts, Scopes and Challenges." Applied Sciences 11, no. 11 (June 7, 2021): 5303. http://dx.doi.org/10.3390/app11115303.
Повний текст джерелаАнотація:
Over the decades, robotics technology has acquired sufficient advancement through the progression of 5G Internet, Artificial Intelligence (AI), Internet of Things (IoT), Cloud, and Edge Computing. Though nowadays, Cobot and Service Oriented Architecture (SOA) supported robots with edge computing paradigms have achieved remarkable performances in diverse applications, the existing SOA robotics technology fails to develop a multi-domain expert with high performing robots and demands improvement to Service-Oriented Brain, SOB (including AI model, driving service application and metadata) enabling robot for deploying brain and a new computing model with more scalability and flexibility. In this paper, instead of focusing on SOA and Robot as a Service (RaaS) model, we propose a novel computing architecture, addressed as Brainware Computing, for driving multiple domain-specific brains one-at-a-time in a single hardware robot according to the service, addressed as Brain as a Service (BaaS). In Brainware Computing, each robot can install and remove the virtual machine, which contains SOB and operating applications from the nearest edge cloud. Secondly, we provide an extensive explanation of the scope and possibilities of Brainware Computing. Finally, we demonstrate several challenges and opportunities and then concluded with future research directions in the field of Brainware Computing.
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Panicucci, Simone, Nikolaos Nikolakis, Tania Cerquitelli, Francesco Ventura, Stefano Proto, Enrico Macii, Sotiris Makris, et al. "A Cloud-to-Edge Approach to Support Predictive Analytics in Robotics Industry." Electronics 9, no. 3 (March 16, 2020): 492. http://dx.doi.org/10.3390/electronics9030492.
Повний текст джерелаАнотація:
Data management and processing to enable predictive analytics in cyber physical systems holds the promise of creating insight over underlying processes, discovering anomalous behaviours and predicting imminent failures threatening a normal and smooth production process. In this context, proactive strategies can be adopted, as enabled by predictive analytics. Predictive analytics in turn can make a shift in traditional maintenance approaches to more effective optimising their cost and transforming maintenance from a necessary evil to a strategic business factor. Empowered by the aforementioned points, this paper discusses a novel methodology for remaining useful life (RUL) estimation enabling predictive maintenance of industrial equipment using partial knowledge over its degradation function and the parameters that are affecting it. Moreover, the design and prototype implementation of a plug-n-play end-to-end cloud architecture, supporting predictive maintenance of industrial equipment is presented integrating the aforementioned concept as a service. This is achieved by integrating edge gateways, data stores at both the edge and the cloud, and various applications, such as predictive analytics, visualization and scheduling, integrated as services in the cloud system. The proposed approach has been implemented into a prototype and tested in an industrial use case related to the maintenance of a robotic arm. Obtained results show the effectiveness and the efficiency of the proposed methodology in supporting predictive analytics in the era of Industry 4.0.
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Kumar M., Senthil, and V. Mathivanan. "Implementation of Cloud Connected Smart Robot for Environmental and Industrial Platform." Indonesian Journal of Electrical Engineering and Computer Science 8, no. 3 (December 1, 2017): 645. http://dx.doi.org/10.11591/ijeecs.v8.i3.pp645-647.
Повний текст джерелаАнотація:
<p>Cloud robotics is an emerging field that is centred on the benefits of converged infrastructure and shared services of a cloud computing environment. In this paper, a system is designed with an autonomous Pick and Place robot to sense environmental data such as temperature and Motion, along with GPS coordinates and sends them on the cloud. The mobile robot is controlled using an LPC1764 microcontroller and communicates with the cloud via a CC3200 Launchpad. A private cloud is set up using Open Stack that provides Infrastructure as a Service. The collected data are stored in a cloud server which could be viewed through a mobile app and can be used to create awareness about the environmental changes of the location under study. A proof-of-concept prototype has been developed to illustrate the effectiveness of the proposed system.</p>
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Ku, Hao Hsiang, Tsai Sheng Kao, and Ching Ho Chi. "K-MORE: Design of a Kinect Motion Oriented iRobotics Environment." Applied Mechanics and Materials 597 (July 2014): 401–6. http://dx.doi.org/10.4028/www.scientific.net/amm.597.401.
Повний текст джерелаАнотація:
Internet and cloud-based robot services have been attractive and developed. Nowadays, how to enhance the controllability of intelligent robots is an important issue for researchers. This study designs a Kinect Motion Oriented Intelligent-Robot Environment, which is called K-MORE. K-MORE is designed for easily controlling intelligent robots, which is composed of Sensing-based Interactive Robot (SIR) service platform and Cloud Environment. K-MORE is based on open service platforms, including Arduinos, Google Android, and Google App Engine (GAE). Robots not only can be controlled by a smartphone but also can be triggered by events via GAE or Ontology Case-based Reasoning (OCBR). Furthermore, users can use a smartphone to control robots. K-MORE is well-integrated with users, intelligent robots, sensors and the cloud environment. Finally, K-MORE can be an inference model for researchers when developing a robotics-based open service platform in the future.
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Tarik Taleb, Chafika Benza�d, Miguel Bordallo Lopez, Konstantin Mikhaylov, Sasu Tarkoma, Panos Kostakos, Nurul Huda Mahmood, et al. "6G System architecture: A service of services vision." ITU Journal on Future and Evolving Technologies 3, no. 3 (December 8, 2022): 710–43. http://dx.doi.org/10.52953/dgko1067.
Повний текст джерелаАнотація:
The architectures of mobile networks have seen an unprecedented techno-economic transformation, fusing the telcommunications world within the cloud world, adding the spices of Software Engineering to the overall system design, and ultimately yielding the concept of Telco Cloud. This has brought significant benefits in terms of reducing expenditure and operational costs, flexibility in deployment, and a faster time to market. The key enablers are network function virtualization, software-defined networking, and edge/cloud computing. Artificial intelligence is also kicking in this arena. When all these technologies are well integrated, the creation and life-cycle management of fully programmable, flexible, service-tailored, and automated end-to-end network slices/services become possible. This will support diverse 5G and beyond 5G services, spanning from tactile IoT to pervasive robotics and immersive services. This paper introduces an unprecedented and disruptive vision for 6G that shifts the perception of future mobile networks from the old-fashioned concept of "network of networks" towards a new vision of "service of services." The paper then introduces the functional model of the envisioned system architecture, along with its components. It then provides a high-level description of the logical architecture.
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Afrin, Mahbuba, Jiong Jin, Akhlaqur Rahman, Ashfaqur Rahman, Jiafu Wan, and Ekram Hossain. "Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey." IEEE Communications Surveys & Tutorials 23, no. 2 (2021): 842–70. http://dx.doi.org/10.1109/comst.2021.3061435.
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Du, Hang, Wenjun Xu, Bitao Yao, Zude Zhou, and Yang Hu. "Collaborative Optimization of Service Scheduling for Industrial Cloud Robotics Based on Knowledge Sharing." Procedia CIRP 83 (2019): 132–38. http://dx.doi.org/10.1016/j.procir.2019.03.142.
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Hu, Yansu, Ang Gao, Changqing Wang, Wen Cao, and Maode Yan. "The Lyapunov Optimization for Two-Tier Hierarchical-Based MAC in Cloud Robotics." Wireless Communications and Mobile Computing 2020 (August 28, 2020): 1–11. http://dx.doi.org/10.1155/2020/8876705.
Повний текст джерелаАнотація:
Cloud robotics can largely enhance the robot intelligence by offloading tasks to the cloud dynamically. However, the robots differ in their own hardware configuration such as battery and processing capacity, while the transmission frames are also a mixture of different quality of service (QoS) requirements. As the competition for limited channel resource is inevitable, how to optimize the system performance by effective resource allocation is a key problem. The paper proposes a two-tier hierarchical-based MAC (Two-Tier MAC) which means the classification exists not only in frames but also in robots. The Lyapunov optimization technique is used to maximize the time-averaged quality satisfaction. The experiments show the superior performance of the Two-Tier MAC compared with other MAC protocols especially in overloaded networks. Meanwhile, the system also presents a longer lifetime because the Two-Tier MAC takes energy balance into consideration.
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Ballardini, Augusto Luis, Simone Fontana, Daniele Cattaneo, Matteo Matteucci, and Domenico Giorgio Sorrenti. "Vehicle Localization Using 3D Building Models and Point Cloud Matching." Sensors 21, no. 16 (August 9, 2021): 5356. http://dx.doi.org/10.3390/s21165356.
Повний текст джерелаАнотація:
Detecting buildings in the surroundings of an urban vehicle and matching them to building models available on map services is an emerging trend in robotics localization for urban vehicles. In this paper, we present a novel technique, which improves a previous work by detecting building façade, their positions, and finding the correspondences with their 3D models, available in OpenStreetMap. The proposed technique uses segmented point clouds produced using stereo images, processed by a convolutional neural network. The point clouds of the façades are then matched against a reference point cloud, produced extruding the buildings’ outlines, which are available on OpenStreetMap (OSM). In order to produce a lane-level localization of the vehicle, the resulting information is then fed into our probabilistic framework, called Road Layout Estimation (RLE). We prove the effectiveness of this proposal, testing it on sequences from the well-known KITTI dataset and comparing the results concerning a basic RLE version without the proposed pipeline.
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Yin, Zuozhong, Dianpeng Wang, and Jihong Liu. "A Method of Constructing Robotics Service Platform for Assisting Handicapped or Elderly People." Journal of Robotics 2020 (July 15, 2020): 1–6. http://dx.doi.org/10.1155/2020/4259175.
Повний текст джерелаАнотація:
In order to solve the problem of demand for large capacity storage and high-performance computing resource of intelligent robot navigation and demand-service matching in the field of assisting handicapped or elderly people, overcoming the limitations of carrying resources, the method of constructing robot service platform for assisting handicapped or elderly people (RSP-AHEP) was proposed based on cloud robotics technology. Firstly, the demand of assisting handicapped or elderly people and the corresponding robot service category was analyzed to assure relationship-matching subjects. Secondly, based on VMware and Hadoop cluster technology, the architecture of a three-layer robot service platform was designed, which were universal interface layer, resource service layer, and application layer. Complex computing tasks, such as the matching computing between robot service and demand of the handicapped or elderly people, and the robot path-planning service, were placed in the robot service platform with the advantages of storage and computing resources. Thirdly, the remote communication between the robot and the service platform was realized based on the ROS (Robot Operation System) technology; finally, the function experiments, which included the remote dispatch, path planning, and service response between the service platform and robot, were carried out in the simulation environment. The result verified the feasibility of the proposed method.
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Wirtz, Jochen, Paul G. Patterson, Werner H. Kunz, Thorsten Gruber, Vinh Nhat Lu, Stefanie Paluch, and Antje Martins. "Brave new world: service robots in the frontline." Journal of Service Management 29, no. 5 (October 15, 2018): 907–31. http://dx.doi.org/10.1108/josm-04-2018-0119.
Повний текст джерелаАнотація:
Purpose The service sector is at an inflection point with regard to productivity gains and service industrialization similar to the industrial revolution in manufacturing that started in the eighteenth century. Robotics in combination with rapidly improving technologies like artificial intelligence (AI), mobile, cloud, big data and biometrics will bring opportunities for a wide range of innovations that have the potential to dramatically change service industries. The purpose of this paper is to explore the potential role service robots will play in the future and to advance a research agenda for service researchers. Design/methodology/approach This paper uses a conceptual approach that is rooted in the service, robotics and AI literature. Findings The contribution of this paper is threefold. First, it provides a definition of service robots, describes their key attributes, contrasts their features and capabilities with those of frontline employees, and provides an understanding for which types of service tasks robots will dominate and where humans will dominate. Second, this paper examines consumer perceptions, beliefs and behaviors as related to service robots, and advances the service robot acceptance model. Third, it provides an overview of the ethical questions surrounding robot-delivered services at the individual, market and societal level. Practical implications This paper helps service organizations and their management, service robot innovators, programmers and developers, and policymakers better understand the implications of a ubiquitous deployment of service robots. Originality/value This is the first conceptual paper that systematically examines key dimensions of robot-delivered frontline service and explores how these will differ in the future.
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Gonzalez-de-Santos, Pablo, Roemi Fernández, Delia Sepúlveda, Eduardo Navas, Luis Emmi, and Manuel Armada. "Field Robots for Intelligent Farms—Inhering Features from Industry." Agronomy 10, no. 11 (October 24, 2020): 1638. http://dx.doi.org/10.3390/agronomy10111638.
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Estimations of world population growth urgently require improving the efficiency of agricultural processes, as well as improving safety for people and environmental sustainability, which can be opposing characteristics. Industry is pursuing these objectives by developing the concept of the “intelligent factory” (also referred to as the “smart factory”) and, by studying the similarities between industry and agriculture, we can exploit the achievements attained in industry for agriculture. This article focuses on studying those similarities regarding robotics to advance agriculture toward the concept of “intelligent farms” (smart farms). Thus, this article presents some characteristics that agricultural robots should gain from industrial robots to attain the intelligent farm concept regarding robot morphologies and features as well as communication, computing, and data management techniques. The study, restricted to robotics for outdoor farms due to the fact that robotics for greenhouse farms deserves a specific study, reviews different structures for robot manipulators and mobile robots along with the latest techniques used in intelligent factories to advance the characteristics of robotics for future intelligent farms. This article determines similarities, contrasts, and differences between industrial and field robots and identifies some techniques proven in the industry with an extraordinary potential to be used in outdoor farms such as those derived from methods based on artificial intelligence, cyber-physical systems, Internet of Things, Big Data techniques, and cloud computing procedures. Moreover, different types of robots already in use in industry and services are analyzed and their advantages in agriculture reported (parallel, soft, redundant, and dual manipulators) as well as ground and aerial unmanned robots and multi-robot systems.
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Zagradjanin, Novak, Aleksandar Rodic, Dragan Pamucar, and Bojan Pavkovic. "Cloud-Based Multi-Robot Path Planning in Complex and Crowded Environment Using Fuzzy Logic and Online Learning." Information Technology and Control 50, no. 2 (June 17, 2021): 357–74. http://dx.doi.org/10.5755/j01.itc.50.2.28234.
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This paper considers an autonomous cloud-based multi-robot system designed to execute highly repetitive tasksin a dynamic environment such as a modern megastore. Cloud level is intended for performing the most demandingoperations in order to unload the robots that are users of cloud services in this architecture. For path planningon global level D* Lite algorithm is applied, bearing in mind its high efficiency in dynamic environments. In orderto introduce smart cost map for further improvement of path planning in complex and crowded environment, implementationof fuzzy inference system and learning algorithm is proposed. The results indicate the possibility ofapplying a similar concept in different real-world robotics applications, in order to reduce the total paths length,as well as to minimize the risk in path planning related to the human-robot interactions.
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He, Wen Jia, Kai Pan, Xun Li, and An Yuan Chen. "Research on Adaptable Load Balancing of Task in Cloud Robots." Advanced Materials Research 998-999 (July 2014): 1190–94. http://dx.doi.org/10.4028/www.scientific.net/amr.998-999.1190.
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Robotics has been widely applied in all kinds of such fields as production, service and special operation, but its integrated intelligence has been limited by the capability of equipped chips. To improve the capability, robots use the services offered by background clusters through the network. The load balancing in cloud robot, in fact, describes the problem of assigning tasks to the front or the back. So far, the load balancing strategy is only for the data server and metadata server load balancing, and does not take the load balancing of task between client and server. In this paper, we put forward an adaptable load balancing of task (ALBT), which is based on the client’s running condition and network delay cost, including basic load balancing of task (BLBT) and dynamic adjusting algorithm (DAA). The basic task load balancing can balance task between robot and cluster system according to the current condition of robot and the complexity of task. In addition, the dynamic adjusting algorithm can in real time transfer task load between them using an event mechanism. ALBT adjusts itself to the environment which can meet robot’s requirements with good performance and robustness.
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Singh, Rajesh, Anita Gehlot, Shaik Vaseem Akram, Lovi Raj Gupta, Manoj Kumar Jena, Chander Prakash, Sunpreet Singh, and Raman Kumar. "Cloud Manufacturing, Internet of Things-Assisted Manufacturing and 3D Printing Technology: Reliable Tools for Sustainable Construction." Sustainability 13, no. 13 (June 30, 2021): 7327. http://dx.doi.org/10.3390/su13137327.
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The United Nations (UN) 2030 agenda on sustainable development goals (SDGs) encourages us to implement sustainable infrastructure and services for confronting challenges such as large energy consumption, solid waste generation, depletion of water resources and emission of greenhouse gases in the construction industry. Therefore, to overcome challenges and establishing sustainable construction, there is a requirement to integrate information technology with innovative manufacturing processes and materials science. Moreover, the wide implementation of three-dimensional printing (3DP) technology in constructing monuments, artistic objects, and residential buildings has gained attention. The integration of the Internet of Things (IoT), cloud manufacturing (CM), and 3DP allows us to digitalize the construction for providing reliable and digitalized features to the users. In this review article, we discuss the opportunities and challenges of implementing the IoT, CM, and 3D printing (3DP) technologies in building constructions for achieving sustainability. The recent convergence research of cloud development and 3D printing (3DP) are being explored in the article by categorizing them into multiple sections including 3D printing resource access technology, 3D printing cloud platform (3D–PCP) service architectures, 3D printing service optimized configuration technology, 3D printing service evaluation technology, and 3D service control and monitoring technology. This paper also examines and analyzes the limitations of existing research and, moreover, the article provides key recommendations such as automation with robotics, predictive analytics in 3DP, eco-friendly 3DP, and 5G technology-based IoT-based CM for future enhancements.
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Vartholomaios, Panagiotis, Nacim Ramdani, Christophoros Christophorou, Dimosthenis Georgiadis, Thomas Guilcher, Myriam Blouin, Mohamed Rebiai, et al. "ENDORSE Concept." International Journal of Reliable and Quality E-Healthcare 8, no. 3 (July 2019): 47–59. http://dx.doi.org/10.4018/ijrqeh.2019070104.
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Hospitals are considered a field of logistic robotics of high commercial potential and therefore a handful of mobile robot solutions exist. However, they have failed to trigger widespread acceptance by the market. The ENDORSE system will pursue 4 innovation pillars: an infrastructure-less multi-robot navigation, i.e. minimum installation of sensors and communications buses inside the building for the localization of robots, targets and docking stations; advanced HRI for resolving deadlocks and achieving efficient sharing of space resources in crowded environments; the deployment of ENDORSE software as a cloud-based service facilitating its integration with corporate software solutions such as ERP and CRM, complying with GDPR data security requirements; and allowing for reconfigurable and modular hardware architectures so that diverse modules can be easily swapped. ENDORSE functionality will be demonstrated via the integration of an e-diagnostic support module for vital signs monitoring, facilitating connectivity to cloud-based EHR, and validated in an operational hospital environment for realistic assessment.
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Nekovee, Maziar, and Ferheen Ayaz. "Vision, Enabling Technologies, and Scenarios for a 6G-Enabled Internet of Verticals (6G-IoV)." Future Internet 15, no. 2 (January 30, 2023): 57. http://dx.doi.org/10.3390/fi15020057.
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5G is the critical mobile infrastructure required to both enable and accelerate the full digital transformation of vertical sectors. While the 5G for vertical sectors is aiming at connectivity requirements of specific verticals, such as manufacturing, automotive and energy, we envisage that in the longer term the expansion of wide area cellular connectivity to these sectors will pave the way for a transformation to a new Internet of Verticals (IoV) in the 6G era, which we call 6G-IoV. In this paper, we describe our vision of 6G-IoV and examine its emerging and future architectural and networking enablers. We then illustrate our vision by describing a number of future scenarios of the 6G-IoV, namely the Internet of Cloud Manufacturing accounting for around 25% of digital services and products, the Internet of Robotics to cater the challenges of the growing number of robotics and expected 7% increase in usage over the coming years and the Internet of Smart Energy Grids for net-zero energy balance and shifting to 100% dependence on the renewables of energy generation.
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Shaytura, S. V., and V. M. Feoktistova. "Unmanned vehicles in land management." Zemleustrojstvo, kadastr i monitoring zemel' (Land management, cadastre and land monitoring), no. 9 (September 1, 2020): 32–36. http://dx.doi.org/10.33920/sel-4-2009-05.
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The article discusses the methods of agriculture digitalization. Digitalization tools, such as the Internet of things, a big data analysis system, unmanned software and hardware and unmanned aerial vehicles, satellite navigation systems, electronic and intelligent sensors, elements of artificial intelligence, robotics, and cloud services are presented in this article. Unmanned systems in agriculture and technologies of unmanned driving are considered here as well. Using satellite navigation systems and information services, it is possible to establish the location and characteristics of movement of vehicles with significant accuracy. The author explains the control system based on satellite navigation systems.
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Rodríguez-Gracia, Diego, José A. Piedra-Fernández, Luis Iribarne, Javier Criado, Rosa Ayala, Joaquín Alonso-Montesinos, and Capobianco-Uriarte Maria de las Mercedes. "Microservices and Machine Learning Algorithms for Adaptive Green Buildings." Sustainability 11, no. 16 (August 9, 2019): 4320. http://dx.doi.org/10.3390/su11164320.
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In recent years, the use of services for Open Systems development has consolidated and strengthened. Advances in the Service Science and Engineering (SSE) community, promoted by the reinforcement of Web Services and Semantic Web technologies and the presence of new Cloud computing techniques, such as the proliferation of microservices solutions, have allowed software architects to experiment and develop new ways of building open and adaptable computer systems at runtime. Home automation, intelligent buildings, robotics, graphical user interfaces are some of the social atmosphere environments suitable in which to apply certain innovative trends. This paper presents a schema for the adaptation of Dynamic Computer Systems (DCS) using interdisciplinary techniques on model-driven engineering, service engineering and soft computing. The proposal manages an orchestrated microservices schema for adapting component-based software architectural systems at runtime. This schema has been developed as a three-layer adaptive transformation process that is supported on a rule-based decision-making service implemented by means of Machine Learning (ML) algorithms. The experimental development was implemented in the Solar Energy Research Center (CIESOL) applying the proposed microservices schema for adapting home architectural atmosphere systems on Green Buildings.
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Obayashi, Kazuko, and Shigeru Masuyama. "Pilot and Feasibility Study on Elderly Support Services Using Communicative Robots and Monitoring Sensors Integrated With Cloud Robotics." Clinical Therapeutics 42, no. 2 (February 2020): 364–71. http://dx.doi.org/10.1016/j.clinthera.2020.01.001.
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Novikova, Zhanna, Nadezhda Stenyashina, and Albina Nazmutdinova. "Vectors of socio-economic development of the region in the context of digital transformation." Bulletin of Kemerovo State University. Series: Political, Sociological and Economic sciences 2021, no. 2 (August 13, 2021): 238–47. http://dx.doi.org/10.21603/2500-3372-2021-6-2-238-247.
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The article reviews the socio-economic state of the Republic of Tatarstan during digital economy development, namely public services, infrastructure, living conditions, urban environment, business, digital government, medicine, education, research competencies, IT infrastructure, cybersecurity, etc. The authors focused on the positive trends, problems, and improvement measures. They proposed to set up a Digital Transformation Center that would launch new digital platforms for residents in order to make their life easier. The sustainable growth of the regional economy cannot happen without the state support of new enterprises, startups, customized production market, exchange of knowledge, new jobs in high-tech industries, digital teaching methods, etc. Big data, end-to-end information technologies, neural networks, robotics, the Internet of Things, artificial intelligence, 3D modeling, virtual reality, and cloud computing can facilitate the innovative economic growth in the region.
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Natia Shengelia, Natia Shengelia, Zhuzhuna Tsiklauri Zhuzhuna Tsiklauri, Agnieszka Rzepka Agnieszka Rzepka, and Revaz Shengelia Revaz Shengelia. "The Impact of Financial Technologies on Digital Transformation of Accounting, Audit and Financial Reporting." Economics 105, no. 03 (April 15, 2022): 385–99. http://dx.doi.org/10.36962/ecs105/3/2022-385.
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FinTech is a combination of Finance and Technology which involves use of modern smart technology like big data analytics, cloud computing, artificial intelligence, machine learning, and robotics, for doing finance. Financial technology development has influenced nearly all financial services industry, from granting to insurance, from accounting to consultancy, from consumer finance to investment banking. As a result of digital transformation, preparation of XBRL-based structured digital Financial Reports, block-chain trading, accounting of new digital assets, cryptocurrency has assigned more strategic functions to accountants, while simultaneously supported the auditing to reduce the risk at the minimum level. In order to obtain or retain competitive advantage it is essential to invest money, time into implementing in innovations. A cloud system is part of the basic infrastructure now. When the entire business model changes so do change the ways of accounting, auditing and financial reporting that are inevitable components of business. The integration of modern digital technologies into finances, has enabled finance professionals to achieve greater efficiency, work speed, and financial transparency. Keywords: Financial technologies; Digital Accounting and IFRS; Cryptocurrency; Blockchain; XBRL-standard; Audit; Financial Reporting;
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Gonçalves, Maria José Angélico, Amélia Cristina Ferreira da Silva, and Carina Gonçalves Ferreira. "The Future of Accounting: How Will Digital Transformation Impact the Sector?" Informatics 9, no. 1 (February 27, 2022): 19. http://dx.doi.org/10.3390/informatics9010019.
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The growing dissemination of digital technologies has had an incomparable impact on many dimensions of today’s civilisation. Digital transformation (DT) redefined the industrial structures and reinvented business models. Hence, in the face of Industry 4.0, financial and accounting services face new threats, challenges, and opportunities. How do the business players in the accounting sector perceive this phenomenon? This paper aims to answer this question by following a qualitative and exploratory approach, applied to three case studies, using semi-structured interviews. The study shows that although digital transformation in Portuguese small and medium-sized accounting service enterprises is just starting, Industry 4.0 technologies, optical character recognition (OCR), artificial intelligence (AI), robotics and enterprise resource planning (ERP) in the cloud were the technologies singled out by respondents. Resistance to change, organisational culture and price seem to be the main barriers to DT in accounting. This paper contributes to a better understanding of the role of accounting and accountants in organisations and society in the context of the digital era. Moreover, it provides practical insights into the potential relationship between technological (specifically digital) development and labour market dynamics for accounting professionals.
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Patel, Ujas, Sudeep Tanwar, and Anuja Nair. "Performance Analysis of Video On-demand and Live Video Streaming using Cloud based Services." Scalable Computing: Practice and Experience 21, no. 3 (August 1, 2020): 479–96. http://dx.doi.org/10.12694/scpe.v21i3.1764.
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The advent of Cyber-Physical Systems (CPS) has brought a revolutionary change coined as a mixture of information, communication, computation, and control. With applications in smart grid, health monitoring, automatic avionics, distributed robotics, etc., CPS is currently an area of attention among the academia and industry. The advancement of mobile communications and embedded technology has made it possible to build large scale CPS consisting of the interconnection of mobile phones. These devices collect information about the surrounding environment at any time anywhere basis through real-time video capture. Video streaming has proven to be a massive industry that is growing rapidly playing an important role in everyday life. Customer-driven approach wanting best experience with quality has to be the core offering of contemporary scenario. Video streaming is categorized into Video-On-Demand Streaming (VoDS) and Live Video Streaming (LVS) showing the current state-of-art opportunities. Many diverse applications of video streaming are military video surveillance using drones, live sports match player face recognition, on-demand video characters recognition, movie summarization like identifying parts of the movie which are viewed many times by different users, movie and series recognition, motion detection, gesture recognition, image segmentation, etc. This paper introduces an approach to develop video analysis on VoD and LVS using cloud-based services and analyzes the impact of Quality of Experience (QoE), cost, and bandwidth on the cloud. To achieve the best user experience for video streaming and video analysis, Content Delivery Network (CDN) offers the best QoE at various analyzed locations using various cloud providers like Amazon Web Services (AWS) CloudFront, Google Cloud CDN, Azure CDN, Akamai CDN, etc.
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Patil, Kanchan Pranay. "Industry 4.0 Adoption in Manufacturing Industries Using Technology-Organization-Environment Framework." Journal of Information Technology Research 14, no. 1 (January 2021): 123–46. http://dx.doi.org/10.4018/jitr.2021010108.
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This paper investigated the determinant factors affecting the Industry 4.0 ecosystem needed for the digitization and automation of manufacturing industries. The 4th industrial revolution implements a value chain by interfacing internet of things devices and robotics, data processing in the cloud using artificial intelligence-based analytics. The study was conducted in Pune, India, a manufacturing and IT services hub. It sought to identify Industry 4.0 facilitators and inhibitors by framing empirical data collected from 320 manufacturing facilities and analyzed using PLS-SEM within a model based on technology-organization-environment (TOE) theory and motivation-threat-ability (MTA) theory. The results confirmed that technology competence, organization scope, consumer readiness, competitive pressure, trading partners' readiness, and governance practices are the facilitators, whereas organization resistance inhibits Industry 4.0 adoption intentions. The outcome of this study shall provide guidelines to manufacturing industries management as well as technology solution providers.
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Wiweko, Budi. "Cutting Edge of Reproductive Medicine." Fertility & Reproduction 01, no. 02 (June 2019): 78–87. http://dx.doi.org/10.1142/s2661318219300071.
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Background: Louise Brown’s delivery in 1978 was the mark of a successful IVF program that has now been in practice for more than 40 years. The technology has delivered more than 8 million babies. Many breakthrough innovations were established to answer the problem in ART services. Optimizing ART biomarkers and cross border reproductive care have become a rising issue in ART services. Disruptive innovation disrupts the existing condition and takes the lead in the new market, including to change our patient behavior in health services. National health services addressed new issues about the impact of 4.0 industrial revolution on health workforce and our daily practices. Every disruptive innovation today is enhanced by a combination of physical, digital, and biological domain. The advancement in the area of the internet of things, artificial intelligence, virtual reality, nanotechnology, cloud computing, big data, deep learning, machine learning, robotics, and gene editing could potentially support us to innovate. And to improve the quality and outcome of ART, the introduction of the latest technology, such as robotics and artificial intelligence, has become an essential approach. A recent study discovered that the use of artificial intelligence would remove the embryologist’s subjectivity and improve the way we choose the best embryo for implantation. The next challenging issue in ART is improving the success rate through optimizing noninvasive biomarkers development. Many biological products such as blood, tissue, organ fluid can be assessed and considered to be used as IVF biomarkers. Proteomic tools were used and are needed to analyze a sample from subjects before it was created as a biomarker for improving the IVF services quality. Conclusion: The development of IVF over 40 years has brought about many distinct achievements in the laboratory and in clinic. Industrial revolution 4.0 has generated many innovations that have helped improve the quality of ART services, including AUGMENT social egg freezing, artificial intelligence, and genome editing. In this era, precision medicine looks very promising for bridging the gap and increasing the accuracy and efficacy of promotive, preventive, diagnostic, and treatment approaches in reproductive medicine.
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Strutynska, Oksana V., Grygoriy M. Torbin, Mariia A. Umryk, and Roman M. Vernydub. "Digitalization of the educational process for the training of the pre-service teachers." CTE Workshop Proceedings 8 (March 19, 2021): 179–99. http://dx.doi.org/10.55056/cte.231.
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According to the Development Concept of the Digital Economy and Society in Ukraine, the priority of this area is to develop a substantial national policy on digitalization of education, as this is the key part of the education reform in Ukraine. For this reason, universities should firstly take into account the particularities of teaching the current generation of students and the needs of the digital society as a whole. This paper considers the process of transition from informatization to digitalization in society, implementation of digital support for the educational process in the university, development of the digital educational environment for the training university teachers, and proposes the digital tools for such an environment. The authors propose several ways to improve the development level of digitalization of the educational environment in the university. This is to take into account the needs of the digital society and the modern generation of students, provide a high level of the digital literacy formation of university graduates and support the development of a new digital security system of the modern university. Aiming to design the digital educational environment for increasing the of educators’ digital literacy level, the authors propose to develop and implement the following computer, multimedia and computer-based learning tools and equipment, which includes blended and distance learning classes, cloud technologies, tools of virtual and augmented reality, tools for gamification of the educational process, educational robotics, tools for learning 3D technologies, MOOCs.
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Fattouch, Najla, Imen Ben Lahmar, Mouna Rekik, and Khouloud Boukadi. "Decision-Making Approach for an IoRT-Aware Business Process Outsourcing." Digital 2, no. 4 (November 4, 2022): 520–37. http://dx.doi.org/10.3390/digital2040028.
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In the context of Industry 4.0, IoRT-aware BPs represent an attractive paradigm that aims to automate the classic business process (BP) using the internet of robotics things (IoRT). Nonetheless, the execution of these processes within the enterprises may be costly due to the consumed resources, recruitment cost, etc. To bridge these gaps, the business process outsourcing (BPO) strategy can be applied to outsource partially or totally a process to external service suppliers. Despite the various advantages of BPO, it is not a trivial task for enterprises to determine which part of the process should be outsourced and which environment would be selected to deploy it. This paper deals with the decision-making outsourcing of an IoRT-aware BP to the fog and/or cloud environments. The fog environment includes devices at the edge of the network which will ensure the latency requirements of some latency-sensitive applications. However, relying on cloud, the availability and computational requirements of applications can be met. Toward these objectives, we realized an in-depth analysis of the enterprise requirements, where we identified a set of relevant criteria that may impact the outsourcing decision. Then, we applied the method based on the removal effects of criteria (MEREC) to automatically generate the weights of the identified criteria. Using these weights, we performed the selection of the suitable execution environment by using the ELECTRE IS method. As an approach evaluation, we sought help from an expert to estimate the precision, recall, and F-score of our approach. The obtained results show that our approach is the most similar to the expert result, and it has acceptable values.
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Ryvak, Nataliya O. "World trends in the market of mechanical engineering." Socio-Economic Problems of the Modern Period of Ukraine, no. 5(151) (2021): 37–43. http://dx.doi.org/10.36818/2071-4653-2021-5-5.
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The article analyzes the main trends in the global market of mechanical engineering, in particular, in the branches of agricultural engineering, mechanical engineering for light industry, construction and road engineering, and energy engineering. It also addresses the structure and development trends of the mechanical engineering market by regions, changes in the business environment of the mechanical engineering industry, the impact of the Covid-19 pandemic on the state and development of the global mechanical engineering market, new rules and requirements for manufacturers of mechanical engineering products, and technological innovations and trends. Mechanical engineering companies today are at the epicenter of technological transformation. The mechanical engineering industry creates individual digital capabilities and intelligently combined products. Innovative processes such as related production, forecast service and innovative service models are increasingly used in mechanical engineering. The use of modern digital technologies in mechanical engineering is becoming a necessity that prevents the risks of losing relevance in the market of modern industry. Although the basic principles of mechanical engineering, such as thermodynamics, fluid mechanics and machine design, still remain in force, the latest technologies are contributing to the rapid development of composites, mechatronics and nanotechnology. These new subject areas, which are the result of modern achievements, have become a prerequisite for the development of new and promising industries, including artificial intelligence and biomechatronics. The growing demand for increased production efficiency while minimizing operating costs has led to demand for new and innovative technologies. Based on the study of the introduction of new technologies in mechanical engineering and global trends in the industry, the author substantiates the feasibility of accepting the need for globalization in mechanical engineering as a new norm, taking into account costs, tax consequences, quality and delivery in planning the existing geographical location, supply chains, strategic partnerships; reduction of the general supply cycle for better adaptation to the changing environment; optimization of existing production facilities, automation and attraction of advanced digital technologies for the establishment of work processes; implementation of advanced technologies in mechanical engineering, such as artificial intelligence, Internet of Things, nanoengineering, advanced data analytics, automation of robotic processes, blockchain, robotics, cloud computing augmented reality, 3D printing, drones, 5G, etc.; raising the qualification level of mechanical engineering workers.
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Čelik, Petar. "Institutional Measures for Increasing the Cyber Security for Business in the European Union." Economic Themes 57, no. 3 (September 1, 2019): 351–64. http://dx.doi.org/10.2478/ethemes-2019-0020.
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AbstractNumerous research and analytical studies envisage a new wave of disruptive innovations that will completely change the economic landscape, organization and business models in the short term, as well as ways of managing companies. This wave of innovation, followed by the use of new digital technologies, such as Big Data, mobile applications, social networking, robotics, 3D printing, nanotechnology, quantum informatics, cloud computing, etc., through various forms and modes of cyber vulnerability, contribute to reducing the ability to achieve effective protection, not only for companies and public services, but also for other services available to citizens. The current research preoccupation is focused on finding adequate solutions, in terms of protecting the digital economy and digital business from all modern threats and risks that the modern disruptive technologies carry along with. The thematic focus is on strengthening the institutional and operational capacities of existing and newly-formed specialized agencies, such as: ENISA, EC3 and EUROPOL, in order to provide an integrated institutional response to a wide range of hybrid and cyber threats. The final section of the paper presents an overview of comprehensive strategic, regulatory and institutional approach of the EU to cyber incidents and crises in the digital space.
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Anagnoste, Sorin. "Robotic Automation Process – The operating system for the digital enterprise." Proceedings of the International Conference on Business Excellence 12, no. 1 (May 1, 2018): 54–69. http://dx.doi.org/10.2478/picbe-2018-0007.
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Abstract Robotic Process Automation (RPA) is going into a “maturity market”. The main vendor providers surpassed USD 1 billion in evaluation and the research they are launching these days on the market will change again radically the business landscape. It can be seen already what is coming next to RPA: intelligent optical character recognition (IOCR), chat-bots, machine learning, big data analytics, cognitive platforms, anomaly detection, pattern analysis, voice recognition, data classification and many more. As a result the top vendors developed partnerships with the main leading artificial intelligence providers, such as: IBM Watson, Microsoft Artificial Intelligence, Microsoft Cognitive services, blockchain, Google etc. On the business part, the consulting companies who are implementing the RPA solution are moving from developing Proof-of-Concepts (POCs) and Pilots to helping clients with RAP global roll-outs and developing Centre of Excellences (CoE). As a result, the experiences gathered so far by the author on this kind of projects will be tackled also in this paper. In this article will we will present also some data related to automation for different business areas (eg. Accounts Payable, Accounts Receivable etc) and how an assessment can be done correctly in order to decide if a process can be automatized and, if yes, up to which extent (ie. percent). Moreover, through the case studies we will provide (1) how now the RPA is integrated with Artificial Intelligence and Cloud, (2) how can be scaled in order to face hypes, (3) how can interpret data and (4) what savings these technologies can bring to the organizations. All the aforementioned services made Robotics Process Automation a very powerful tool since a year ago when the author did the last research. A process that was mainly not recommended for automation or was partially automated can be now fully automated with more advantages, such as: money, non-FTE savings and fulfillment time.
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Jung, Tae-Won, Chi-Seo Jeong, Soon-Chul Kwon, and Kye-Dong Jung. "Point-Graph Neural Network Based Novel Visual Positioning System for Indoor Navigation." Applied Sciences 11, no. 19 (October 2, 2021): 9187. http://dx.doi.org/10.3390/app11199187.
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Indoor localization is a basic element in location-based services (LBSs), including seamless indoor and outdoor navigation, location-based precision marketing, spatial recognition in robotics, augmented reality, and mixed reality. The popularity of LBSs in the augmented reality and mixed reality fields has increased the demand for a stable and efficient indoor positioning method. However, the problem of indoor visual localization has not been appropriately addressed, owing to the strict trade-off between accuracy and cost. Therefore, we use point cloud and RGB characteristic information for the accurate acquisition of three-dimensional indoor space. The proposed method is a novel visual positioning system (VPS) capable of determining the user’s position by matching the pose information of the object estimated by the improved point-graph neural network (GNN) with the pose information label of a voxel database object addressed in predefined voxel units. We evaluated the performance of the proposed system considering a stationary object in indoor space. The results verify that high positioning accuracy and direction estimation can be efficiently achieved. Thus, spatial information of indoor space estimated using the proposed novel VPS can aid in indoor navigation.
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Kamei, Koji, Shuichi Nishio, Norihiro Hagita, and Miki Sato. "Cloud networked robotics." IEEE Network 26, no. 3 (May 2012): 28–34. http://dx.doi.org/10.1109/mnet.2012.6201213.
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