scholarly journals Construction of Big Database in the Field of Public Security: A Case Study in Shenzhen

2021 ◽  
Author(s):  
Jixiao Yin ◽  
Diping Yuan ◽  
Guohua Wu ◽  
Zuoxin Wang ◽  
Yiping Zeng ◽  
...  
Keyword(s):  
Emergency Management ◽  
Process Reengineering ◽  
Multiple Sources ◽  
Intelligent Decision Making ◽  
External Data ◽  
Complex Information ◽  
Centralized Management ◽  
Intelligent Decision ◽  
The One ◽  
Construction Pattern

In terms of the actual needs of the emergency management department, at the beginning of the establishment of Shenzhen Emergency Management Bureau, all kinds of information resources have not been connected, and the business of the Department is still supported by the information assets of the original unit of the transferred department. However, there are significant differences in the construction years, construction standards and system architecture of the existing information systems, which lead to the “one number, multiple sources” and multiple management of all kinds of business data, and the systems are basically in the chimney construction pattern of mutual separation. At the same time, the exchange and sharing of internal and external data of the Emergency Management Bureau lacks a unified data standard, and a unified data platform has not been built for centralized management. Therefore, it is difficult for the newly established emergency management bureau to effectively support the business process reengineering, collaborative command, big data intelligent decision-making and other needs. In addition, considering the construction of smart city at the municipal and district levels, as well as the complex information situation such as the information collaboration within the security committee office and emergency committee system, it is urgent to prepare the top-level design of emergency management information, and plan the future development with a higher position, a wider vision and a new idea.

An Integrated Legacy of Modbus Devices to Industrial Internet of Things: Approach for Smart Industries

2020 ◽  
Author(s):  
Karthik Muthineni
Keyword(s):  
Internet Of Things ◽  
Industrial Revolution ◽  
Digital Technologies ◽  
Industrial Internet Of Things ◽  
Intelligent Decision Making ◽  
Internet Of Everything ◽  
Industrial Internet ◽  
Intelligent Decision ◽  
Network Platform ◽  
Smart Factories

The new industrial revolution Industry 4.0, connecting manufacturing process with digital technologies that can communicate, analyze, and use information for intelligent decision making includes Industrial Internet of Things (IIoT) to help manufactures and consumers for efficient controlling and monitoring. This work presents the design and implementation of an IIoT ecosystem for smart factories. The design is based on Siemens Simatic IoT2040, an intelligent industrial gateway that is connected to modbus sensors publishing data onto Network Platform for Internet of Everything (NETPIE). The design demonstrates the capabilities of Simatic IoT2040 by taking Python, Node-Red, and Mosca into account that works simultaneously on the device.

scholarly journals The Orderliness of Music from the Perspective of Complex Information Systems

Proceedings ◽  
2020 ◽  
Vol 47 (1) ◽  
pp. 55
Author(s):  
Shan Zhang
Keyword(s):  
Information Systems ◽  
20Th Century ◽  
Natural Science ◽  
The Other ◽  
Western Music ◽  
Classical Period ◽  
20Th Century Music ◽  
Complex Information ◽  
History Of ◽  
The One

By applying the concept of natural science to the study of music, on the one hand, we can understand the structure of music macroscopically, on the other, we can reflect on the history of music to a certain extent. Throughout the history of western music, from the classical period to the 20th century, music seems to have gone from order to disorder, but it is still orderly if analyzed carefully. Using the concept of complex information systems can give a good answer in the essence.

scholarly journals Challenges for a QCD axion at the 10 MeV scale

2021 ◽  
Vol 2021 (5) ◽  
Author(s):  
Jia Liu ◽  
Navin McGinnis ◽  
Carlos E. M. Wagner ◽  
Xiao-Ping Wang
Keyword(s):  
Higgs Boson ◽  
Standard Model ◽  
Structure Constant ◽  
Fine Structure Constant ◽  
Multiple Sources ◽  
Standard Model Extension ◽  
Mixing Angles ◽  
Quark Masses ◽  
Model Extension ◽  
The One

Abstract We report on an interesting realization of the QCD axion, with mass in the range $$ \mathcal{O} $$ O (10) MeV. It has previously been shown that although this scenario is stringently constrained from multiple sources, the model remains viable for a range of parameters that leads to an explanation of the Atomki experiment anomaly. In this article we study in more detail the additional constraints proceeding from recent low energy experiments and study the compatibility of the allowed parameter space with the one leading to consistency of the most recent measurements of the electron anomalous magnetic moment and the fine structure constant. We further provide an ultraviolet completion of this axion variant and show the conditions under which it may lead to the observed quark masses and CKM mixing angles, and remain consistent with experimental constraints on the extended scalar sector appearing in this Standard Model extension. In particular, the decay of the Standard Model-like Higgs boson into two light axions may be relevant and leads to a novel Higgs boson signature that may be searched for at the LHC in the near future.

scholarly journals Enhanced Clean-In-Place Monitoring Using Ultraviolet Induced Fluorescence and Neural Networks

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3742 ◽  
Author(s):  
Alessandro Simeone ◽  
Bin Deng ◽  
Nicholas Watson ◽  
Elliot Woolley
Keyword(s):  
Image Processing ◽  
Digital Camera ◽  
Computation Time ◽  
Cleaning Process ◽  
Food Manufacturing ◽  
Intelligent Decision Making ◽  
Intelligent Decision ◽  
Potential Benefits ◽  
Image Acquisition System ◽  
Nonlinear Autoregressive

Clean-in-place (CIP) processes are extensively used to clean industrial equipment without the need for disassembly. In food manufacturing, cleaning can account for up to 70% of water use and is also a heavy user of energy and chemicals. Due to a current lack of real-time in-process monitoring, the non-optimal control of the cleaning process parameters and durations result in excessive resource consumption and periods of non-productivity. In this paper, an optical monitoring system is designed and realized to assess the amount of fouling material remaining in process tanks, and to predict the required cleaning time. An experimental campaign of CIP tests was carried out utilizing white chocolate as fouling medium. During the experiments, an image acquisition system endowed with a digital camera and ultraviolet light source was employed to collect digital images from the process tank. Diverse image segmentation techniques were considered to develop an image processing procedure with the aim of assessing the area of surface fouling and the fouling volume throughout the cleaning process. An intelligent decision-making support system utilizing nonlinear autoregressive models with exogenous inputs (NARX) Neural Network was configured, trained and tested to predict the cleaning time based on the image processing results. Results are discussed in terms of prediction accuracy and a comparative study on computation time against different image resolutions is reported. The potential benefits of the system for resource and time efficiency in food manufacturing are highlighted.

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