Design of Traffic Emergency Response System Based on Internet of Things and Data Mining in Emergencies

Liu, Zhaohui; Wang, Chao

doi:10.1109/access.2019.2934979

Cited by 49 publications

(26 citation statements)

References 51 publications

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“…Although public health emergency management has been paid much attention, the research in this area is still in its infancy and initial stage. Especially in the "top down" emergency response system, how to highlight the role and function of primary medical units is a problem that we are waiting to study at present, especially the remote public health emergency management of the Internet of things is also in the exploratory stage [27][28][29]. is paper will focus on the current situation and focus on analyzing the low delay emergency management system of remote public medical care based on the Internet of things, which has a strong convincing and promoting role in improving the relevant mechanism.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Remote Public Medical Emergency Management System with Low Delay Based on Internet of Things

Feng

Zhong-yu

2021

Journal of Healthcare Engineering

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Due to the limitation of economic geography condition, the existing health resources distribution is uneven, the emergence of remote medical disciplines perfectly solved this difficult problem, using computer and network communication network on audio video information transmissions, querying, display, storage, and backup and realizing the network of outpatient service, remote consultation, health advice, and other functions. Telemedicine enables the limited available medical resources to be shared and fully utilized and also enables many economically underdeveloped provinces to enjoy a higher level of medical sharing services. Public health emergency management system on the overall design of the low latency according to system function will be based on the Internet of things. The remote public health emergency management system is divided into three subsystems low latency modules, basic subsystems of platform, application platform, and specific application subsystems, and designs the structure of the various modules. The implementation process is given. In the realization of the system, this paper describes in detail how to realize the functions of the public medical low delay emergency management system, and, in the end, the realization process of the system is reasonably summarized. The application of Internet of things technology in regional emergency rescue can realize the identification and real-time positioning of material personnel, the collection and transmission of the wounded’s physiological information, real-time information transmission, and interaction based on mobile handheld devices, as well as the integration of emergency rescue resources, information integration, and command decision-making, so as to assist rescue operations and improve rescue efficiency.

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Section: Introductionmentioning

confidence: 99%

Optimization of Remote Public Medical Emergency Management System with Low Delay Based on Internet of Things

Feng

Zhong-yu

2021

Journal of Healthcare Engineering

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“…Xu et al ( 2018 ), Xu et al ( 2018 ) To design a traffic emergency response system based on Internet of Things to improve the level of emergency response. Liu and Wang ( 2019 ) To analyse how IoT (in confluence with other technologies) has the potential to revamp the healthcare system, in order to cope with the burden of modern diseases and the challenge of scaling up to ever-increasing populations. Latif et al ( 2017 ) To propose a IoT based solution using the task-technology fit approach for an effective and efficient disaster management.…”

Section: Resultsmentioning

confidence: 99%

The emergent role of digital technologies in the context of humanitarian supply chains: a systematic literature review

Marić¹,

Galera‐Zarco

Opazo‐Basáez

2021

Ann Oper Res

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The role of digital technologies (DTs) in humanitarian supply chains (HSC) has become an increasingly researched topic in the operations literature. While numerous publications have dealt with this convergence, most studies have focused on examining the implementation of individual DTs within the HSC context, leaving relevant literature, to date, dispersed and fragmented. This study, through a systematic literature review of 110 articles on HSC published between 2015 and 2020, provides a unified overview of the current state-of-the-art DTs adopted in HSC operations. The literature review findings substantiate the growing significance of DTs within HSC, identifying their main objectives and application domains, as well as their deployment with respect to the different HSC phases (i.e., Mitigation, Preparedness, Response, and Recovery). Furthermore, the findings also offer insight into how participant organizations might configure a technological portfolio aimed at overcoming operational difficulties in HSC endeavours. This work is novel as it differs from the existing traditional perspective on the role of individual technologies on HSC research by reviewing multiple DTs within the HSC domain.

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“…method is analyzed from the aspects of model definition, model training, and decoding algorithm. In view of the specific language scenarios where the ethnic corpus is insufficient, the phrase extraction method that ignores the non-contiguity of position in traditional phrase extraction is improved, the strategy of extracting and decoding non-contiguous phrases is realized, the small-scale corpus is fully utilized [30]; then, the experimental comparison between the traditional algorithm and the extraction model algorithm of non-contiguous phrases is carried out. The experimental results have shown that the comparison between the proposed algorithm and the traditional algorithm is improved, which means that the proposed model algorithm for extracting non-contiguous phrases is more effective than the traditional model for extracting contiguous phrases in M.T.…”

Section: Discussionmentioning

confidence: 99%

Application of Data Mining Methods in Internet of Things Technology for the Translation Systems in Traditional Ethnic Books

Luo

Xiang

2020

IEEE Access

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In order to translate the ethnic classics, based on the research on the Internet of things, machine learning, and translation technology of ethnic classics, the log-linear model is combined with the national corpus scale and the grammatical structure characteristics, and the phrase statistical machine translation is used to establish a discontinuous phrase extraction model. Then, the translation technology is studied from the three aspects of model definition, training, and decoding. Finally, the algorithm is compared with the traditional phrase extraction algorithm to verify its effectiveness. The results show that the extraction number of discontinuous phrase extraction model is significantly higher than that of traditional phrase extraction model, and the model can extract more phrases, handle larger and more complex text, and score higher in translation fluency. From the evaluation indexes scores of Bilingual Evaluation Understudy (B.L.E.U.) and National Institute of Standards and Technology (N.I.S.T.), it can be found that the B.L.E.U. and N.I.S.T. values of the traditional phrase extraction algorithm are lower than those of the discontinuous phrase extraction model algorithm. The discontinuous phrase extraction algorithm can not only extract the regular continuous phrase, but also obtain the discontinuous text, and the translation effect is better. In conclusion, the combination of Internet of things and machine learning can be used in the translation of ethnic classics to achieve high-quality translation of discontinuous phrases, which is of guiding significance for the study of machine translation.

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Design of Traffic Emergency Response System Based on Internet of Things and Data Mining in Emergencies

Cited by 49 publications

References 51 publications

Optimization of Remote Public Medical Emergency Management System with Low Delay Based on Internet of Things

Optimization of Remote Public Medical Emergency Management System with Low Delay Based on Internet of Things

The emergent role of digital technologies in the context of humanitarian supply chains: a systematic literature review

Application of Data Mining Methods in Internet of Things Technology for the Translation Systems in Traditional Ethnic Books

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