Design and Development of an Earthquake Emergency Coordinating Consultation System Based on GIS

Ban, Ya; Liu, Hongjing; Yuan, Jing

doi:10.1109/iicspi48186.2019.9095907

Cited by 4 publications

(4 citation statements)

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“…However, the core information refinement component of the core-adaptive augmentation heavily relies on a large language model. In order to build a lightweight system, we 1 Detailed descriptions are provided in the subsequent "Complaint and Responsibility" section. 2 encoding results of the Core-View Encoder in the CoA Encoder proposed a model based on a multi-view contrastive learning technique.…”

Section: ) the Lightweight Cross-domain Consultation Systemmentioning

confidence: 99%

“…Due to the rapid advancement of artificial intelligence, consultation systems have found widespread application across diverse industries. Ban [1]design an earthquake emergency system for multiuser consultation simulation system based on GIS technology, computer technology, and modern communications technology. Xu [2] propose a new neural network based method of information extraction for medical online consultation system with a coarse-granularity data annotation approach, which is more time-saving and robust compared with the traditional sequence labeling methods.…”

Section: Introductionmentioning

confidence: 99%

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Core-View Contrastive Learning Network for Building Lightweight Cross-Domain Consultation System

Zheng,

Xu,

Chen

et al. 2024

IEEE Access

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Cross-domain Consultation Systems have become essential in numerous critical applications, for instance, an online citizen complaint system. However, addressing complaints with distinct orality characteristics often necessitates retrieving and integrating knowledge from diverse professional domains. This scenario represents a typical cross-domain problem. Nevertheless, the prevailing approach of utilizing generative large language models to tackle this problem presents challenges including model scale and drawbacks like hallucination and limited interpretability. To address these challenges, we proposed a novel approach called the Core-View Contrastive Learning (CVCL) network. Leveraging contrastive learning techniques with an integrated core-adaptive augmentation module, the CVCL network achieves accuracy in cross-domain information matching. Our objective is to construct a lightweight, precise, and interpretable cross-domain consultation system, overcoming the limitations encountered with large language models in addressing such challenges. Empirical validation of our proposed method using real-world datasets demonstrates its effectiveness. Our experiments show that the proposed method achieves comparable performance to large language models in terms of accuracy in text-matching tasks and surpasses the best baseline model by over 24 percentage points in F1-score for classification tasks. Additionally, our lightweight model achieved a performance level of 96% compared to the full model, while utilizing only 6% of the parameters.

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Section: ) the Lightweight Cross-domain Consultation Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Core-View Contrastive Learning Network for Building Lightweight Cross-Domain Consultation System

Zheng,

Xu,

Chen

et al. 2024

IEEE Access

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“…Significance. This article will rely on UAV remote sensing technology to carry out research on the inversion of pollutant concentration in water bodies [18][19][20].…”

Section: Irregular Discharge Of Wastewater and Nuclear Pollutionmentioning

confidence: 99%

Retrieval Algorithm of Water Pollutant Concentration Based on UAV Remote Sensing Technology

Lü

Cheng

Jun

et al. 2022

Mobile Information Systems

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With the development of the society and economy, traditional water pollution monitoring methods can no longer meet the normal needs of work. Unmanned aerial vehicle remote sensing technology has gradually emerged, and it has shown a development trend of multimodel and multifunction. However, the application of UAV remote sensing technology in water pollution monitoring is in its infancy and has not formed a unified method and standard. This paper introduces the disadvantages of UAV Remote Sensing Technology in water pollution monitoring and provides a way to improve the application level of UAV Remote Sensing Technology in water pollution monitoring. In order to make full use of the advantages of remote sensing monitoring technology in water ecological environment monitoring, including wide coverage, fast analysis speed, accurate and reliable monitoring results, and large amount of information, according to the spectral effect of polluted water, a remote sensing inversion model of river and lake parameters is established to determine the water quality of rivers and lakes. Concentrations of pollutants in the body are inverted and analyzed. The analysis results show that the fitting effect of the inversion model is accurate and the accuracy errors reflected by the degree of dispersion and deviation are also acceptable. The inversion results of the concentration of river and lake characteristic parameters based on the Gaofen-1 remote sensing image data are in line with the actual situation. The research results can greatly strengthen the monitoring capacity of the sewage outlet and provide reference for related research on water pollution caused by the sewage outlet.

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“…Using the exploratory retrieval and verification retrieval skills of the corpus can not only reduce the pressure of teachers to find real corpus when preparing lessons but also arouse learners' interest and enthusiasm in learning with detailed and vivid corpus. e corpus resources and retrieval skills introduced in this study have certain reference values for English programming language teaching [20][21][22]. Considering that Chinese English learners are accustomed to checking procedural languages in Chinese, research on procedural language teaching based on an English-Chinese bilingual parallel corpus can be carried out in the future.…”

Section: Introductionmentioning

confidence: 98%

Design of English Teaching Corpus Resource-Sharing System Based on XML Technology

Bing¹

2022

Mathematical Problems in Engineering

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It is well known that vocabulary is the cornerstone of language learning. Therefore, vocabulary teaching is very important in English language teaching. However, time-consuming and inefficient vocabulary education has always been a long-standing issue. Teachers utilize traditional teaching methods, which are monotonous, so students lose interest and desire in studying, resulting in a drop in academic performance and even resistance to English courses, creating a vicious circle. Therefore, improving the efficiency of vocabulary teaching has become a hot topic in the field of English education today. Corpus technology has begun to infiltrate the realm of English education as the times and technology have progressed. Because of its vast capacity and real corpus, the corpus is gradually being used in English classes. Therefore, this research will explore the application of corpus-based XML technology data-driven teaching in junior high school English vocabulary teaching. Data-driven vocabulary teaching based on corpus resources has been shown to considerably improve students’ vocabulary learning effects, but its promotion requires the assistance of education departments as well as the development of instructors’ professional theoretical understanding. In order to solve the problem of data processing and data sharing of heterogeneous data in the process of digital campus construction, this study aims at the campus network application system, using data exchange technology and XML’s good extensibility, self-description, separation of form and content, etc. It realizes data sharing and sharing in heterogeneous databases.

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Design and Development of an Earthquake Emergency Coordinating Consultation System Based on GIS

Cited by 4 publications

References 0 publications

Core-View Contrastive Learning Network for Building Lightweight Cross-Domain Consultation System

Core-View Contrastive Learning Network for Building Lightweight Cross-Domain Consultation System

Retrieval Algorithm of Water Pollutant Concentration Based on UAV Remote Sensing Technology

Design of English Teaching Corpus Resource-Sharing System Based on XML Technology

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