Ontology Engineering The “Whats,” “Whys,” and “Hows” of Data Exchange

In a challenging financial climate, there is a growing impetus for businesses to use existing process data to support more intelligent decision making. For large-scale complex systems such as railways, electricity grids, and gas distribution networks, this often means combining information from numerous different condition monitoring systems; however, given the vast amounts of data produced every day and the frequently incompatible data models used to represent it, is it possible to be sure that the information generated is being used correctly? This paper provides an introduction to the field of Ontology, an emerging technology that allows the exact “meaning” of an item of data to be described in a way that can be interpreted by computers. Through this retention of meaning, it becomes possible for computers to perform simple reasoning operations, inferring new information about a system from the existing facts, and enabling exciting new Semantic Web technologies.

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Research on Intelligent Operation and Maintenance Model of Large Database for Electric Power Industry

Journal of Physics Conference Series ◽

10.1088/1742-6596/2095/1/012028 ◽

2021 ◽

Vol 2095 (1) ◽

pp. 012028

Author(s):

Chaoyi Yang ◽

Ye Liu ◽

Jianyi Xiao ◽

Xiaobo Huang ◽

Jiahua Chen

Keyword(s):

Large Scale ◽

Performance Indicator ◽

Electric Power Industry ◽

Normal Operation ◽

Model Framework ◽

Intelligent Decision Making ◽

Rule Model ◽

Operation And Maintenance ◽

Intelligent Decision ◽

Maintenance Model

Abstract Existing research on automated database operation and maintenance for the electrical industry mainly focuses on distributed and cloud platforms, and there is a lack of traditional large-scale database intelligent operation and maintenance research. This paper designs an overall operation and maintenance model framework of “intelligent perception-intelligent decision-intelligent execution”, and proposes feasible implementation plans, including: (1) Use the prophet time series forecasting model to perceive and predict important database performance indicators, and dynamically adjust the threshold of each performance indicator according to the predicted value; (2) Perform correlation analysis on abnormal indicators through the association rule model to construct “Indicators”->Operation” optimized combination operation strategy library for intelligent decision making; (3) According to the intelligent decision library, automatically restrict the associated operations under abnormal conditions to ensure the normal operation of the service and realize intelligent execution.

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Optimizing Temporal Business Opportunities

International Journal of Business and Management ◽

10.5539/ijbm.v15n11p104 ◽

2020 ◽

Vol 15 (11) ◽

pp. 104

Author(s):

Rola Y. M. Mohammed

Keyword(s):

Data Mining ◽

Large Scale ◽

Large Population ◽

Literature Report ◽

Intelligent Decision Making ◽

Simulation Techniques ◽

Intelligent Decision ◽

Business Opportunities ◽

Knowledge Emergence ◽

Factual Data

The objective of this paper is to detail preliminary work revolving around modeling. It provides understanding and underpinning implementation procedures of dynamics of large-scale events with Hajj examples, where a large population of people is contained for a significantly long but limited period within certain areas. It is essential to note further that the motivation behind this subject’s discussion could also be fueled by sales, inquiries, or security concerns. However, knowledge emergence on service point procedures implementation suggests that service points implementing data are extinct, and this is obliged to implement the next feature. As such, there is a critical need to reform a process and how to analyze the work. Developing this literature report requires extensive use of factual data for accuracy; as such, data mining and simulation techniques will be essential in explaining what services are needed. The simulation techniques used herein incorporate several databases targeting to exploit the advantage of proficiency in predicting distribution demand for population points based on available current estimates. Henceforth, data mining, in this case, is used to inform intelligent decision making on investing in services points as pushed for by customers’ demand.

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Why Has There Been No People’s Power Rebellion in North Korea?

European Journal of Korean Studies ◽

10.33526/ejks.2018181.1 ◽

2018 ◽

pp. 1-34

Author(s):

Andrew Jackson

Keyword(s):

Rural Areas ◽

North Korea ◽

Large Scale ◽

Political Elite ◽

Information Control ◽

Al Jazeera ◽

The North ◽

New Information ◽

Effective System ◽

The Right

One scenario put forward by researchers, political commentators and journalists for the collapse of North Korea has been a People’s Power (or popular) rebellion. This paper analyses why no popular rebellion has occurred in the DPRK under Kim Jong Un. It challenges the assumption that popular rebellion would happen because of widespread anger caused by a greater awareness of superior economic conditions outside the DPRK. Using Jack Goldstone’s theoretical expla-nations for the outbreak of popular rebellion, and comparisons with the 1989 Romanian and 2010–11 Tunisian transitions, this paper argues that marketi-zation has led to a loosening of state ideological control and to an influx of infor-mation about conditions in the outside world. However, unlike the Tunisian transitions—in which a new information context shaped by social media, the Al-Jazeera network and an experience of protest helped create a sense of pan-Arab solidarity amongst Tunisians resisting their government—there has been no similar ideology unifying North Koreans against their regime. There is evidence of discontent in market unrest in the DPRK, although protests between 2011 and the present have mostly been in defense of the right of people to support themselves through private trade. North Koreans believe this right has been guaranteed, or at least tacitly condoned, by the Kim Jong Un government. There has not been any large-scale explosion of popular anger because the state has not attempted to crush market activities outright under Kim Jong Un. There are other reasons why no popular rebellion has occurred in the North. Unlike Tunisia, the DPRK lacks a dissident political elite capable of leading an opposition movement, and unlike Romania, the DPRK authorities have shown some flexibility in their anti-dissent strategies, taking a more tolerant approach to protests against economic issues. Reduced levels of violence during periods of unrest and an effective system of information control may have helped restrict the expansion of unrest beyond rural areas.

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Situation Calculus as Development of Semiotic Approach to Constructing Intelligent Decision-Making Support System

Vestnik NSU Series Information Technologies ◽

10.25205/1818-7900-2017-15-4-43-52 ◽

2017 ◽

Vol 15 (4) ◽

pp. 43-52

Author(s):

L. V. Massel ◽

◽

V. R. Kuzmin ◽

Keyword(s):

Decision Making ◽

Support System ◽

Situation Calculus ◽

Intelligent Decision Making ◽

Intelligent Decision ◽

Semiotic Approach ◽

Decision Making Support

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

10.31219/osf.io/54tje ◽

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.

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Can Blockchain Strengthen the Energy Internet?

Network ◽

10.3390/network1020007 ◽

2021 ◽

Vol 1 (2) ◽

pp. 95-115

Author(s):

Charithri Yapa ◽

Chamitha de Alwis ◽

Madhusanka Liyanage

Keyword(s):

Distributed Generation ◽

Paradigm Shift ◽

Distribution Networks ◽

Future Research ◽

Disruptive Technology ◽

Electricity Distribution ◽

Energy Internet ◽

Energy Delivery ◽

Electricity Grids

Emergence of the Energy Internet (EI) demands restructuring of traditional electricity grids to integrate heterogeneous energy sources, distribution network management with grid intelligence and big data management. This paradigm shift is considered to be a breakthrough in the energy industry towards facilitating autonomous and decentralized grid operations while maximizing the utilization of Distributed Generation (DG). Blockchain has been identified as a disruptive technology enabler for the realization of EI to facilitate reliable, self-operated energy delivery. In this paper, we highlight six key directions towards utilizing blockchain capabilities to realize the envisaged EI. We elaborate the challenges in each direction and highlight the role of blockchain in addressing them. Furthermore, we summarize the future research directive in achieving fully autonomous and decentralized electricity distribution networks, which will be known as Energy Internet.

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