The construction of emergency intelligence service system for think tanks in the context of big data

2021 ◽  
pp. 1-17
Author(s):  
Shanshan Jiang ◽  
Shaobo Qi
Keyword(s):  
Big Data ◽  
Service System ◽  
Information Service ◽  
Food Poisoning ◽  
Think Tanks ◽  
Application Process ◽  
Technology Application ◽  
Life Cycle Theory ◽  
Intelligence Service

The big data era has ushered in huge transformation in the form of major media, with WeMedia nowadays becoming the mainstream. As is witnessed, WeMedia has achieved a rapid and widespread growth in both dissemination and influence, which has posed a series of challenges to the Emergency Intelligence Service System for Think Tanks, including changes to the subject, content, form, and connotation of platforms. Based on big data, this study makes an investigation into the Emergency Intelligence Service for the modern think tanks and applies the method of factor analysis to draw the conclusion on what kind of factors will influence the performance of the Emergency Intelligence Service for Think Tanks. Then, from the perspective of the life-cycle theory, this research not only optimizes the work process of the Emergency Intelligence Service for Think Tanks, but also constructs a multi-dimensional Emergency Intelligence Service System based on the concept of “Data Driven + Technology Application + Expert Decision” from the aspect of theoretical and technical perspectives. Meanwhile, a public health incident emergency information service system is built on this basis, describing the application process with food poisoning as an example. Last but not least, hopefully, this study could help improve the quality of decision and effectiveness of the Emergency Intelligence Service for Think Tanks and enhance the power of influence and communication for agencies of Emergency Intelligence Service and this paper provides a reference for the establishment and improvement of government decision-making and governance mechanisms.

scholarly journals Analisis Faktor-Faktor yang Memengaruhi Non Performing Financing di PT TAF dan Pengendaliannya

2020 ◽  
Vol 10 (2) ◽  
pp. 72-91
Author(s):  
Tri Wahyudi ◽  
Harianto ◽  
Sahara
Keyword(s):  
Service System ◽  
Statistical Tests ◽  
Descriptive Analysis ◽  
Information Service ◽  
Secondary Data ◽  
Binary Logistic Regression ◽  
Organizational Structures ◽  
Financial Information

PT TAF is one of multifinance companies in Indonesia. The increase in low segment sales from 2013-2017 with a high credit amount led to an increase in the quality of PT TAF's receivables categorized as Non Performing Financing (NPF). This increase in NPF was also accompanied by an increase in PT TAF's net loss in 2017 and affected the company's profits. Therefore an analysis is needed to find out factors that influence the amount of credit and NPF, in order to formulate the strategy to manage it. This study uses secondary data of PT TAF debtors which related to the amount of credit, debtor delays and NPF from 2013 to 2017. The approach of this study is a case study in PT TAF about the level of NPF from 2013 -2017. The method used in this study is descriptive analysis and statistical tests. Multiple linear regression is performed to determine the factors that influence the amount of credit, while binary logistic regression is carried out to determine the factors that influence NPF. The results of the analysis will be used to formulate a strategy proposal for controlling NPF at PT TAF. Factors that significantly influence the amount of the credit are vehicle price, age, loan interest, installment amount, income, down payment, type of first installment, type of vehicle, education, gender, credit package, and credit tenor. The factors that influence NPF are the amount of credit, Loan to Value (LTV), the residence area of ​​the debtor and inflation. The proposed strategy formulations are: to consider factors which affecting amount of credit in granting credit, to increase the debtor portfolio with LTV less than or equal to 80 percent, avoid low down payment and long tenor products, strengthen collection organizational structures and increase team collection capabilities, and utilize the Financial Information Service System from OJK to obtain information about the debtors.

scholarly journals AI Applied in Computer Network Technology Analysis and Research

2021 ◽  
Vol 2066 (1) ◽  
pp. 012051
Author(s):  
Guocai Chen
Keyword(s):  
Big Data ◽  
Computer Network ◽  
Modern Society ◽  
Network Technology ◽  
Work Efficiency ◽  
Technology Application ◽  
The People ◽  
Development Direction ◽  
The Times

Abstract In the big data era, the level of information technology in China has been greatly improved, and AI technology has emerged as the times require. It has now been widely used in computer networks, effectively improving the overall work efficiency and quality of staff. The AI technology application has greatly changed the working methods of the people. The production and application of AI has prompted a clear development direction for science and technology in the big data era. In the development of modern society, the application of AI in computer network technology it is of great significance. The thesis mainly discusses the analysis of AI in computer network technology.

scholarly journals The Reporting Quality of Acupuncture-Related Infections in Korean Literature: A Systematic Review of Case Studies

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Tae-Hun Kim ◽  
Jung Won Kang ◽  
Wan-Soo Park
Keyword(s):  
Case Studies ◽  
Observational Studies ◽  
Service System ◽  
Information Service ◽  
Reporting Quality ◽  
Cochrane Library ◽  
Database Searching ◽  
Korean Literature ◽  
National Assembly

Objective. Acupuncture is generally accepted as a safe intervention when it is administered in appropriate clinical setting by well-educated and experienced practitioners. In this study, we reviewed observational studies on adverse events (AEs) or complications relevant to acupuncture practice in Korean literature for assessing their reporting quality and suggested recommendations for future ones on acupuncture-related infections.Method. Electronic databases including Medline, Embase, Cochrane library, Korean studies Information Service System, DBpia, National Digital Science Library, and Korean National Assembly Library were searched until May 2015. Combination of keywords including “acupuncture” and “infection” were used for searching databases.Result. A total of 23 studies from 2,739 literature articles were identified from electronic database searching until May 2015. From this review, we found that most case studies did not report enough information for judging causality between acupuncture and the AEs (or complications) as well as appropriateness of the acupuncture practice. In addition, acupuncture experts rarely participated in the reporting of these AEs (or complications).Conclusion. Based on these limitations, we suggest a tentative recommendation for future case studies on acupuncture-related infection. We hope that this recommendation would contribute to the improvement of the reporting quality of acupuncture-related AEs (or complications) in the future.

scholarly journals Research on Intelligent Information System of Library under Big Data and Digitization Technology

2021 ◽  
Vol 2083 (4) ◽  
pp. 042063
Author(s):  
Chunyu Wang ◽  
Zhengyu Sha
Keyword(s):  
Big Data ◽  
Service System ◽  
Academic Research ◽  
Functional Model ◽  
Information Service ◽  
Accurate Identification ◽  
Fine Grained ◽  
Technology Services ◽  
Four Levels ◽  
Intelligent Information

Abstract In the big data environment, we develop personalized information of college libraries based on big data from three aspects: the overall architecture of the system model, the functional model of the system, and the design of system interface modules according to the design principles and requirements of the personalized information service system of the university library Service system design. In terms of the functional design of the platform, the service platform is divided into four levels: accurate identification of user needs based on big data, personalized customized services based on artificial intelligence, academic research and discussion space based on integrated media, and fine-grained subject resource aggregation based on knowledge. On this basis, a centralized model of individualized services of university libraries including internal and external personnel, information resources, technology, services, processes, platforms, and environment has been constructed.

scholarly journals BI warehousing system based on big data

2021 ◽  
Vol 257 ◽  
pp. 02015
Author(s):  
Xiangming Lin ◽  
Kai Liu ◽  
Yixuan Li
Keyword(s):  
Big Data ◽  
Rapid Development ◽  
Reference Value ◽  
Data Management System ◽  
System Construction ◽  
Technology Application ◽  
Detailed Explanation ◽  
Warehousing Systems ◽  
Big Data Technology

In the wave of informatization, the data generated by enterprise operations has increased rapidly, prompting the intelligent development of enterprise warehousing systems. In the development of BI warehousing systems, the application of big data technology can promote the rapid development of business intelligence warehousing systems. The application of big data technology in the BI warehousing system can improve the service quality of the data intelligence of the warehousing system. Based on data, it provides support for corresponding decision-making, thereby improving the enterprise data management system. Therefore, this article mainly conducts research and analysis on the construction of BI warehousing system under the application of big data technology, and aims to provide a certain reference value for similar events in the future through a detailed explanation of the current situation of BI warehousing system construction and big data technology application.

Sign in / Sign up

Export Citation Format

Share Document