Retracted: Smart city framework based on intelligent sensor network and visual surveillance

Abstract

In the field of urban development, the construction of new smart cities has received the attention of the government and society. In the process of promoting urban intelligence, urban road lighting, intelligent lighting, etc, have gradually received attention, while the lighting source and control methods have been greatly improved. Smart cities portray a very good vision for development for human beings. Traditional video surveillance only provides simple functions such as video capture, storage, and playback, which are difficult to use as an early warning and alarm. To ensure that abnormal behaviors are monitored in real time and effective measures are taken in a timely manner, monitoring personnel are required to monitor the video at all times.A huge monitoring network will generate massive video data. How to efficiently extract useful information from these massive data is a problem to be solved by intelligent video surveillance technology. This paper starts with the concept of top-level design of smart city construction and analyzes the meaning and content of top-level design. This paper summarizes some of the misunderstandings in the current top-level design process and provides suggestions for the top-level design.

Redesign Gajah Mungkur park in Semarang City as public space and green open space with using the concept “hidden layer of Semarang”

“…City Park is a green open space that has the main function for beauty and social interaction [8,9,10]. City Parks as one of the green open spaces also have functions, landscaping, environmental preservation and aesthetics.…”

Optimization of Accounting Information System for Enterprises in Smart City by Intelligent Sensor under the Internet of Things

“…e results achieved through the analysis and design of the accounting information system production process are desktop-based applications that can assist in the activities of the production process, particularly in the recording and storage of transaction data and preparing reports as required by the enterprises [9]. Akyol et al pointed out that the development of intelligent sensing technology of the IoT could enable enterprises to grasp the information of goods in circulation anytime and anywhere, grasp and manage the details of the circulation of goods in a timely manner, realize the informatization of the circulation process of goods, strengthen the supply management of goods in enterprises, and save the operation cost of enterprises.…”

Video person reidentification based on neural ordinary differential equations and graph convolution network

“…In recent years, with the increasing attention to public safety and the development of video surveillance technology, more and more cameras are deployed in crowded places [1,2]. However, the operation of large-scale video monitoring system produces a large number of monitoring data, which is difficult to quickly analyze and process only relying on human resources.…”