Generation Internet Technology Research Articles

FIWARE-Compatible Smart Data Models for Satellite Imagery and Flood Risk Assessment to Enhance Data Management

The increasing rate of adoption of innovative technological achievements along with the penetration of the Next Generation Internet (NGI) technologies and Artificial Intelligence (AI) in the water sector are leading to a shift to a Water-Smart Society. New challenges have emerged in terms of data interoperability, sharing, and trustworthiness due to the rapidly increasing volume of heterogeneous data generated by multiple technologies. Hence, there is a need for efficient harmonization and smart modeling of the data to foster advanced AI analytical processes, which will lead to efficient water data management. The main objective of this work is to propose two Smart Data Models focusing on the modeling of the satellite imagery data and the flood risk assessment processes. The utilization of those models reinforces the fusion and homogenization of diverse information and data, facilitating the adoption of AI technologies for flood mapping and monitoring. Furthermore, a holistic framework is developed and evaluated via qualitative and quantitative performance indicators revealing the efficacy of the proposed models concerning the usage of the models in real cases. The framework is based on the well-known and compatible technologies on NGSI-LD standards which are customized and applicable easily to support the water data management processes effectively.

Research on Risk Control Strategies of Consumer Finance Based on Big Data Technology

China’s economic development is from high speed to high quality. Developing consumer finance has become a new growth point of China’s economic development and one of the important ways to expand domestic demand. Consumer finance is based on the development of new generation Internet technology and big data, becoming a new trend of China’s financial development and attracting the attention of various industries.

Design and implementation of a distributed data acquisition function architecture based on DOA/Handle technology

With the development of new generation Internet technology, Digital Object Architecture (DOA)/Handle system plays an important role in industrial system. The development and technical characteristics of DOA/Handle technology is studied in this paper. Then function architecture of distributed data acquisition system based on DOA/Handle technology is proposed. Through the detailed design of the functions and characteristics of the architecture, the core functions such as distributed data acquisition, distributed data management, data security sharing, and data security governance are realized in the industrial Internet environment. At the end of the paper, the typical scenarios of this architecture are summarized, and a prospect of the application prospect of DOA/Handle technology is introduced.

WITHDRAWN: An IoMT-based Cyber Training Framework for Orthopedic Surgery using Next Generation Internet Technologies

Abstract Internet of Things based approaches and frameworks hold significant potential in changing the way in which engineering activities are accomplished. The information centric revolution underway has served as a catalyst in the design of innovative methods and practices in several engineering and other domains. In this paper, an Internet of Medical Things based framework for surgical training is discussed in the broader context of Next Generation frameworks. The design and development of this Internet of Medical Things based framework involving adoption of Global Environment for Network Innovations based networking principles is elaborated. The Virtual Reality based simulation environments incorporate haptic based interfaces which support collaborative training and interactions among expert surgeons and residents in orthopedic surgery from distributed locations. The impact of using this Internet of Medical Things based framework for medical education has also been studied; the outcomes underscore the potential of adopting such Internet of Medical Things based approaches for medical education.

An Internet-of-Things (IoT) based cyber manufacturing framework for the assembly of microdevices

ABSTRACTThe emergence of Cyber-Physical Systems (CPS) based principles and technologies holds the potential to facilitate global collaboration in various fields of engineering. Micro Devices Assembly (MDA) is an emerging domain involving the assembly of micron-sized objects and devices. In this paper, a novel IoT based Cyber-Physical framework for MDA is discussed. The proposed IoT framework is the first of its kind for the process domain involving the assembly of micron-sized parts. Another innovation is the exploration of the feasibility next generation Software Defined Networking (SDN) principles to support distributed collaborations involving cyber and physical components within this framework. A unique information model-based monitoring approach is proposed to monitor and track the cyber-physical interactions. The advanced collaborative Cyber-Physical framework comprising of cyber and physical components linked using Next Generation Internet technologies has been developed to accomplish a targeted set of MDA life cycle activities which include assembly planning, path planning, Virtual Reality (VR) based assembly analysis, command generation and physical assembly. Genetic algorithm and modified Insertion algorithm-based methods have been proposed to support assembly planning activities. Advanced VR-based environments have been designed to support assembly analysis where plans can be proposed, compared and validated. The feasibility of the Cyber-Physical approach has been demonstrated by implementing an IoT Test Bed to assemble micro designs.

A Network-Based Virtual Reality Simulation Training Approach for Orthopedic Surgery

The focus of this article is on the adoption of immersive and haptic simulators for training of medical residents in a surgical process called Less Invasive Stabilization System (LISS) plating surgery . LISS surgery is an orthopedic surgical procedure to treat fractures of the femur bone. Development of such simulators is a complex task which involves multiple systems, technologies, and human experts. Emerging Next Generation Internet technologies were used to develop the standalone on-line haptic-based simulator accessible to the students 24/7. A standalone immersive surgical simulator was also developed using HTC Vive. Expert surgeons played an important role in developing the simulator system; use cases of the target surgical processes were built using a modeling language called the engineering Enterprise Modeling Language (eEML) . A detailed study presenting the comparison between the haptic-based simulator and the immersive simulator has been also presented. The outcomes of this study underscore the potential of using such simulators in surgical training.

An IoMT based cyber training framework for orthopedic surgery using Next Generation Internet technologies

An IoMT based cyber training framework for orthopedic surgery using Next Generation Internet technologies

The Practice and Evolution Research of the Enterprise Data Communications Network to IPv6 Technology

Enterprise data communication network is the fundamental transmission platform of carrying all kinds of business. With the technology development of smart grid and the Internet of things, a large number of addressable, independently managed entities are emerged. The address space, QOS and security mechanism of data communications network are put forward higher requirement. Technology system of the enterprise data communication network was described in detail. The key evolution technologies of MPLS VPN network to IPv6 was focused on. At the same time 6VPE technology was used to practice effectively. The evolution route about the enterprise data communications network was put forward, which can be a foundation for the next generation Internet technology in the enterprise application.

A Traffic Aware Routing Protocol for Congestion Avoidance in Content-Centric Network

Content-Centric Network (CCN) is next generation internet communication technology to provide existing internet communication paradigm as content based communication for efficient use various information in the Internet. Therefore, unlike existing internet communication technology, which focus on host based communication process, all of resource is defined as contents in CCN. Moreover it focuses on purpose of communication for using information. CCN communicate with between routers through broadcast flooding method in their network environments. This characteristic of CCN is not considering increasing network traffic about each of CCN routers. Therefore, when the requesters are rapidly increased to particular CCN router, network congestion may be occurred by broadcast traffic. Moreover, this characteristic of CCN has low turnaround time about user request due to reducing performance of network system. To resolve this problem, this paper proposes a traffic aware routing protocol for congestion avoidance in CCN. The proposed routing protocol considers rapidly increasing traffic in the situation and establishes another routing path to avoid increasing traffic problem in CCN.

A Traffic Aware Routing Protocol for Congestion Avoidance in Content-Centric Network

Content-Centric Network (CCN) is next generation internet communication technology to provide existing internet communication paradigm as content based communication for efficient use various information in the Internet. Therefore, unlike existing internet communication technology, which focus on host based communication process, all of resource is defined as contents in CCN. Moreover it focuses on purpose of communication for using information. CCN communicate with between routers through broadcast flooding method in their network environments. This characteristic of CCN is not considering increasing network traffic about each of CCN routers. Therefore, when the requesters are rapidly increased to particular CCN router, network congestion may be occurred by broadcast traffic. Moreover, this characteristic of CCN has low turnaround time about user request due to reducing performance of network system. To resolve this problem, this paper proposes a traffic aware routing protocol for congestion avoidance in CCN. The proposed routing protocol considers rapidly increasing traffic in the situation and establishes another routing path to avoid increasing traffic problem in CCN.

정보 중심 네트워크를 위한 이름 기반 라우팅 프로토콜의 비교 및 분석

ICN (Information-Centric Network) is a next generation Internet communication technology for converting existing Internet communication paradigm to information-based communication paradigm to efficiently use a large amount of information that exists on the Internet. Therefore, unlike existing Internet communication technologies focused on the process of communication using the host address, ICN focuses on the purpose of communication for each information by defining the information of everything that exists on the Internet. For this purpose, ICN uses NbR (Name-based Routing) methods that assign a name to each piece of information, all routers participating in ICN have the physical storage so that they are able to share information with each other. NbR methods on ICN are divided into one-phase routing and two-phase routing depending on how to reach at the storage of each router. However, currently proposed NbR methods cause many problems because they do not reflect the unique characteristics of ICN. Therefore, this paper looked at various NbR issues from caching, access time, distribution, mobility, scaliability, and dissemination of information for an efficient NbR method, and analyzed existing methods proposed for ICN. This paper also proposed a research direction to study the efficient NbR for ICN based on the analysis information.

The experiential health information processing model: supporting collaborative web-based patient education

BackgroundFirst generation Internet technologies such as mailing lists or newsgroups afforded unprecedented levels of information exchange within a variety of interest groups, including those who seek health information. With emergence of the World Wide Web many communication applications were ported to web browsers. One of the driving factors in this phenomenon has been the exchange of experiential or anecdotal knowledge that patients share online, and there is emerging evidence that participation in these forums may be having an impact on people's health decision making. Theoretical frameworks supporting this form of information seeking and learning have yet to be proposed.ResultsIn this article, we propose an adaptation of Kolb's experiential learning theory to begin to formulate an experiential health information processing model that may contribute to our understanding of online health information seeking behaviour in this context.ConclusionAn experiential health information processing model is proposed that can be used as a research framework. Future research directions include investigating the utility of this model in the online health information seeking context, studying the impact of collaborating in these online environments on patient decision making and on health outcomes are provided.

Resource management and job scheduling of China earthquake grid experiment system: Construction of resource management and job dynamic scheduling model ProRMJS

Grid technique is taken as the third generation internet technology and resource management is the core of it. Aiming at the problems of resource management of CEDAGrid (China Earthquake Disaster Alleviation and Simulation Grid) in its preliminary construction, this paper presents a resource management and job scheduling model: ProRMJS to solve these problems. For platform supposed agreeably each computing node can provide computation service, ProRMJS uses “computation pool” to support scheduler, and then the scheduler allocates jobs dynamically according to computing capability and status of each node to ensure the stability of the platform. At the same time, ProRMJS monitors the status of job on each node and sets a time threshold to manage the job scheduling. By estimating the computing capability of each node, ProRMJS allocates jobs on demand to solve the problem of supposing each node can finish the job acquiescently. When calculating the computing capability of each node, ProRMJS allows for the various factors that affect the computing capability and then the efficiency of the platform is improved. Finally the validity of the model is verified by an example.