High Confident Evaluation for Smart City Services

Abstract

This study aims to analyze massive data in cities through data vitalization, and quantitatively evaluate smart city services, so as to promote the construction and development of smart cities. Due to the great difference between cities, a single evaluation method cannot accurately describe the development of a city. In this study, we classify cities by multiple labels according to various bases to give cities comprehensive description. Then, a Multi-level Service Evaluation System (MSES) is introduced. It considers individual weights to cities with different characteristics and evaluates the smart city services from different aspects. In addition to putting forward the iterative development of smart city services, a Maturity Model-based Service Evaluation (MMSE) framework is proposed based on the evaluation results of the MSES. It constructs a standardized and high confident evaluation framework to analyze the current state of cities and make feedback to the government policies. Finally, we take 10 cities in China to demonstrate the effectiveness of MMSE during the development of smart city services.

Evaluation of College English Teaching Quality Based on Improved BT-SVM Algorithm

“…e research on teaching quality evaluation abroad started relatively early, the first student questionnaire appeared in 1915, and so far, Western scholars on teaching quality evaluation have a history of nearly a hundred years. In the early twentieth century, many European and American countries began to explore the establishment of teaching evaluation system, but only a few schools had formal evaluation procedures for fair and effective evaluation of teacher teaching, not established until the 1950s [10][11][12][13][14]. After a hundred years of development, every Western university generally has a relatively complete evaluation system, and the evaluation activities are very stable, but our education system is very different from that of Western countries.…”

Analysis on the Influencing Factors and Training Strategies of Young Talents in Hospitals under the Background of Big Data

“…The advent of the information technology era has brought the level of scientific research technology development in various industries to a new level, and the hospital scientific research work in the context of big data has also been greatly improved and innovated, compared to the traditional hospital scientific research work, and the scientific research work in the context of big data can effectively show the great changes brought by the new era to the medical progress of hospital scientific research, through extensive access to sort out big data, in the process of analyzing big data, and fully grasp the shortcomings and deficiencies in the field of medical research [ 12 – 15 ]. Through targeted medical research, the wide application of big data technology is realized, and the wide application of big data in medical research work is enhanced [ 16 , 17 ].…”

“…through extensive access to sort out big data, in the process of analyzing big data, and fully grasp the shortcomings and deficiencies in the field of medical research[12][13][14][15]. Through targeted medical research, the wide application of big data technology is realized, and the wide application of big data in medical research work is enhanced[16,17].…”

Assessing the impact of governance and health expenditures on carbon emissions in China: Role of environmental regulation

“…As far as governance structures go, corruption and the rule of law are important indicators. These pillars of governance are just two of many that make up a governance structure ( 12 , 13 ). When it comes to the formulation and execution of environmental policies, having an institutional system that is functional and objective is of the utmost importance.…”