The concept of digital transformation is based on two principles: data drivenexploiting every bit of data sourceand user focused. The objective is not only to consolidate data from multiple systems, but to apply an analytics approach to extract…
Oil and Gas operations are now being "datafied." Datafication in the oil industry refers to systematically extracting data from the various oilfield activities that are naturally occurring. Successful digital transformation hinges critically on an…
Abstract: The corporate annuity plan is not only an important pillar of the national social insurance system, but also an integral part of corporate governance mechanism, which plays an important role in employee incentives. This paper systematically…
Location data rapidly grow with fast-changing logistics and business rules. Due to fast-growing business ventures and their diverse operations locally and globally, location-based information systems are in demand in resource industries. Data sources…
The concept of digital transformation is based on two principles: data drivenexploiting every bit of data sourceand user focused. The objective is not only to consolidate data from multiple systems, but to apply an analytics approach to extract…
Oil and Gas operations are now being "datafied." Datafication in the oil industry refers to systematically extracting data from the various oilfield activities that are naturally occurring. Successful digital transformation hinges critically on an…
Abstract: The corporate annuity plan is not only an important pillar of the national social insurance system, but also an integral part of corporate governance mechanism, which plays an important role in employee incentives. This paper systematically…
Location data rapidly grow with fast-changing logistics and business rules. Due to fast-growing business ventures and their diverse operations locally and globally, location-based information systems are in demand in resource industries. Data sources…
With the continuous development of big data in modern education informatization, the content of teaching experiments has become more and more abundant, the types of laboratory equipment have become more diversified, and the overall experiment content…
The concept of digital transformation is based on two principles: data drivenexploiting every bit of data sourceand user focused. The objective is not only to consolidate data from multiple systems, but to apply an analytics approach to extract…
Oil and Gas operations are now being "datafied." Datafication in the oil industry refers to systematically extracting data from the various oilfield activities that are naturally occurring. Successful digital transformation hinges critically on an…
Abstract: The corporate annuity plan is not only an important pillar of the national social insurance system, but also an integral part of corporate governance mechanism, which plays an important role in employee incentives. This paper systematically…
With the development of municipal modernization, the governance and supervision of municipal solid waste become more and more complicated. New supervision methods are required. From the perspective of big data chain, this paper designs the specific…
Through the increasing use of interconnected sensors, instrumentation, and smart machines, and the proliferation of social media and other open data, industrial operations and physical systems are generating ever increasing volumes of data of many…
With the continuous development of big data in modern education informatization, the content of teaching experiments has become more and more abundant, the types of laboratory equipment have become more diversified, and the overall experiment content…
Location data rapidly grow with fast-changing logistics and business rules. Due to fast-growing business ventures and their diverse operations locally and globally, location-based information systems are in demand in resource industries. Data sources…
To build a Decision Support System(DSS) for equipment support based on big data analysis, The connotation and structure of DSS in big data environment are studied, and the data elements and decision scenario of big data decision for equipment support…
With the development of municipal modernization, the governance and supervision of municipal solid waste become more and more complicated. New supervision methods are required. From the perspective of big data chain, this paper designs the specific…
Through the increasing use of interconnected sensors, instrumentation, and smart machines, and the proliferation of social media and other open data, industrial operations and physical systems are generating ever increasing volumes of data of many…
To build a Decision Support System(DSS) for equipment support based on big data analysis, The connotation and structure of DSS in big data environment are studied, and the data elements and decision scenario of big data decision for equipment support…
In 2014 Frontier Technology, Inc. (FTI) utilized Small Business Innovative Research (SBIR) funded technologies to develop a Decision Support and Optimization System Model for energy consumption for the United States Navy's Fleet Forces Command…
With the continuous development of big data in modern education informatization, the content of teaching experiments has become more and more abundant, the types of laboratory equipment have become more diversified, and the overall experiment content…
With the development of municipal modernization, the governance and supervision of municipal solid waste become more and more complicated. New supervision methods are required. From the perspective of big data chain, this paper designs the specific…
Through the increasing use of interconnected sensors, instrumentation, and smart machines, and the proliferation of social media and other open data, industrial operations and physical systems are generating ever increasing volumes of data of many…
In 2014 Frontier Technology, Inc. (FTI) utilized Small Business Innovative Research (SBIR) funded technologies to develop a Decision Support and Optimization System Model for energy consumption for the United States Navy's Fleet Forces Command…
To build a Decision Support System(DSS) for equipment support based on big data analysis, The connotation and structure of DSS in big data environment are studied, and the data elements and decision scenario of big data decision for equipment support…
The concept of digital transformation is based on two principles: data drivenexploiting every bit of data sourceand user focused. The objective is not only to consolidate data from multiple systems, but to apply an analytics approach to extract…
Oil and Gas operations are now being "datafied." Datafication in the oil industry refers to systematically extracting data from the various oilfield activities that are naturally occurring. Successful digital transformation hinges critically on an…
The exploration and production of oil and gas lead to many logistics challenges. In the case of the Brazilian offshore production, the operation size and the fact that the exploration occurs up to 300 km apart from the coast make these challenges…
Abstract: The corporate annuity plan is not only an important pillar of the national social insurance system, but also an integral part of corporate governance mechanism, which plays an important role in employee incentives. This paper systematically…
Location data rapidly grow with fast-changing logistics and business rules. Due to fast-growing business ventures and their diverse operations locally and globally, location-based information systems are in demand in resource industries. Data sources…
With the continuous development of big data in modern education informatization, the content of teaching experiments has become more and more abundant, the types of laboratory equipment have become more diversified, and the overall experiment content…
With the development of municipal modernization, the governance and supervision of municipal solid waste become more and more complicated. New supervision methods are required. From the perspective of big data chain, this paper designs the specific…
The concept of digital transformation is based on two principles: data drivenexploiting every bit of data sourceand user focused. The objective is not only to consolidate data from multiple systems, but to apply an analytics approach to extract…
Oil and Gas operations are now being "datafied." Datafication in the oil industry refers to systematically extracting data from the various oilfield activities that are naturally occurring. Successful digital transformation hinges critically on an…
Abstract: The corporate annuity plan is not only an important pillar of the national social insurance system, but also an integral part of corporate governance mechanism, which plays an important role in employee incentives. This paper systematically…
Location data rapidly grow with fast-changing logistics and business rules. Due to fast-growing business ventures and their diverse operations locally and globally, location-based information systems are in demand in resource industries. Data sources…
In order to improve the effect of precision intelligent agricultural decision support system, this paper combines big data technology to carry out precision mining of agricultural data, and combines decision tree algorithm to carry out data…
Big Data is data whose shape and volume are rising with the passage of time and innovations in technology. This increase will give birth to more uncertain and complex situations, which will then be difficult to properly analyze and manage. Various…
This paper analyses the legal framework of Chinese-funded enterprises' agricultural investment under the background of big data. To analyses the policies even that contradictions with several entities and their problems were undertaken to choose the…
In Mobile Performance Marketing (MPM), monetary compensation only occurs when an advertisement results in a conversion (e.g., sale of a product or service). In this work, we propose an intelligent decision support system (IDSS) to automatically…
At present, the use of artificial intelligence (AI) methods and tools is an essential component of management information systems for a company to succeed in a rapidly changing environment. Agent-based modelling systems as systems of distributed AI…
In Oil Industry Safety Directorate (OISD), it has been testified that nearly 33% of pipeline defects are due to improper pigging and improper precast-forecasting of the existence of a crack in the long run pipelines. Therefore, pipeline engineers are…
As one of the most strategically important natural resources, crude oil can be dangerous to transport by sea. The resilience of a maritime transport network denotes the ability of the system to withstand damage and remain operational after…
The human resources' scheduling is one of the problems widely studied in the literature. This wealth is explained by the diversification of objectives and constraints from one case to another. In this context, we focus on the case of the scheduling…
The aim of the paper is to describe the possibilities of using various modeling techniques, such as real time transient model, online look-ahead model and some offline calculations for operational planning. Short time horizon of one or two days is…
It is crucial to ensure the safety and integrity of underground gas storage (UGS) infrastructure for energy reliability in California, and many other places around the world. To address the risk management need in UGS industry, we take advantage of…
Carbon capture and storage (CCS) has been increasingly looking like a promising strategy to reduce CO2 emissions and meet the Paris agreements climate target. To ensure that CCS is safe and successful, an efficient monitoring program that will…
There are important industrial applications for the technology of the Pig's velocity control in the oil pipeline. But previous research methods about it, such as theoretical analysis, numerical computation and field tests, have various limitations.…
The aim of the paper is to describe the possibilities of using various modeling techniques, such as real time transient model, online look-ahead model and some offline calculations for operational planning. Short time horizon of one or two days is…