The traditional accounting model has obvious disadvantages: high cost, low efficiency, tedious work, and there is a large development space in the existing accounting system. This paper introduces the development process of cloud computing, and…
As network services become more and more powerful, it also brings huge challenges to network management. In order to manage network services and devices easily and effectively, network topology assistance must be needed to accurately detect and…
The traditional accounting model has obvious disadvantages: high cost, low efficiency, tedious work, and there is a large development space in the existing accounting system. This paper introduces the development process of cloud computing, and…
As network services become more and more powerful, it also brings huge challenges to network management. In order to manage network services and devices easily and effectively, network topology assistance must be needed to accurately detect and…
Cloud computing has strong computing power and huge storage space. Machine learning algorithm, combining with cloud computing, makes the processing of large-scale data practical. Logistic regression algorithm is a widely popular machine…
Cloud computing has strong computing power and huge storage space. Machine learning algorithm, combining with cloud computing, makes the processing of large-scale data practical. Logistic regression algorithm is a widely popular machine…
The traditional accounting model has obvious disadvantages: high cost, low efficiency, tedious work, and there is a large development space in the existing accounting system. This paper introduces the development process of cloud computing, and…
As network services become more and more powerful, it also brings huge challenges to network management. In order to manage network services and devices easily and effectively, network topology assistance must be needed to accurately detect and…
Cloud computing has strong computing power and huge storage space. Machine learning algorithm, combining with cloud computing, makes the processing of large-scale data practical. Logistic regression algorithm is a widely popular machine…
Oil and gas exploration is one of the riskiest and most expensive of all commercial endeavors. Exploring for these oil and gas reservoirs is done by generating enormous amounts of seismic data and running that data through the computational ringer to…
Oil and gas exploration is one of the riskiest and most expensive of all commercial endeavors. Exploring for these oil and gas reservoirs is done by generating enormous amounts of seismic data and running that data through the computational ringer to…
The implementations of new technologies have been broadly accepted by multiple industries in recent years, such as big data nad cloud computing. A quick and efficient data mining has become an alternative of creating values ever, the dynamic economic…
Inception of mobile devices and applications have seen an exponential growth of data. Bandwidth limitation for cloud-hosted applications is the "Elephant in the room". This research has designed an algorithm to address the bandwidth limitations by…
Since the first visualization solutions were explored for O&G, major technical improvements enabled gigabyte-sized models to be rendered and manipulated at interactive speeds. Yet, other fundamental aspects such as data access and distribution are…
The traditional accounting model has obvious disadvantages: high cost, low efficiency, tedious work, and there is a large development space in the existing accounting system. This paper introduces the development process of cloud computing, and…
As network services become more and more powerful, it also brings huge challenges to network management. In order to manage network services and devices easily and effectively, network topology assistance must be needed to accurately detect and…
Cloud computing has strong computing power and huge storage space. Machine learning algorithm, combining with cloud computing, makes the processing of large-scale data practical. Logistic regression algorithm is a widely popular machine…
The traditional accounting model has obvious disadvantages: high cost, low efficiency, tedious work, and there is a large development space in the existing accounting system. This paper introduces the development process of cloud computing, and…
As network services become more and more powerful, it also brings huge challenges to network management. In order to manage network services and devices easily and effectively, network topology assistance must be needed to accurately detect and…
Working at an oil and gas facility, such as a drilling rig, production facility, processing facility, or storage facility, involves various challenges, including health and safety risks. It is possible to leverage emerging digital technologies such…
Due to the rapid data growth of video monitoring, how to efficiently storing and querying massive surveillance videos is challenging, such as performance of querying, and fault tolerance for storage. The emerging cloud computing and big data…
The cloud computing, as a more distributed and more efficient paradigm with better performance, has played an important role in many fields. The cloud environment under the IoT has also assumed many roles such as the storage, the processor, the…
Intelligent transportation systems (ITS) typically rely on massive sources of data to monitor the transportation system, estimate its current state, forecast its future state, and react with a set of control and management strategies in real time.…
Video data contributes to the majority of big data, henceforth, how to efficiently and effectively discovering knowledge from large-scale video data becomes a crucial challenge. In this paper, we propose multiple architectural styles for the domain…
The implementations of new technologies have been broadly accepted by multiple industries in recent years, such as big data nad cloud computing. A quick and efficient data mining has become an alternative of creating values ever, the dynamic economic…
With the rapid development of information technologies such as big data, artificial intelligence, mobile Internet and cloud computing, the financial sharing service center of enterprise groups has ushered in a new stage of development. From the…
This paper introduces the concept of using IoT and Cloud based technology in car parking services in cities. A high-level view of the proposed system is outlined. Our solution makes the ancient parking system smarter by leveraging the power of IoT…
Cloud computing technology changes the world, and creates new solutions and opportunities to the enterprises, including petroleum engineering companies. In order to solve more complex drilling problems and optimize oil-field services process control…
Building big data analytics (BDA) applications in the cloud introduces inevitable challenges, such as loss of control and uncertainty. To address the existing challenges, numerous efforts have been made on BDA application engineering to optimize the…
Video data has become the largest source of big data. Owing to video data's complexities, velocity, and volume, public security and other surveillance applications require efficient, intelligent runtime video processing. To address these challenges,…
As network services become more and more powerful, it also brings huge challenges to network management. In order to manage network services and devices easily and effectively, network topology assistance must be needed to accurately detect and…
The development and maturity of the big data technology is a great opportunity for the oil and gas industry. It provides a new way to solve many problems which puzzle the oil and gas exploration. At the same time it is also a huge challenge.…
Artificial intelligence and big data, as emerging technologies that have attracted much attention in recent years, have broad application and development space in improving the development of intelligent and refined education in colleges and…
Cloud deployment architectures have become a preferable computation model of Big Data (BD) operations. Their scalability, flexibility, and cost-effectiveness motivated this trend. In a such deployment model, the data are no longer physically…
The increasing demand for big data processing leads to commercial off-the-shelf (COTS) and cloud-based big data analytics services. Giant cloud service vendors provide customized big data processing systems (BDPS), which are more cost-effective for…
Massive multimedia data are being created due to the rising amount of the Internet and user-generated content, low-cost commodity devices with cameras (like cellphones, surveillance systems, and so on), and the proliferation of social networks,…
Resource scheduling is indispensable for enhancing the system performance during big data processing on clouds. It is highly useful for attaining significant utilization of computing resources completely concentrating towards the facilitation of…
The world has changed dramatically since the outbreak of COVID-19 pandemic. This has not only affected the humanity, but has also badly damaged the world's socio-economic system. Currently, people are looking for a magical solution to overcome this…
Time Series Forecasting (TSF) is essential to key domains, and the Transformer neural network has advanced the state-of-the-art on global, multi-horizon TSF benchmarks. The quadratic time and memory complexity of the Vanilla Transformer (VT) hinders…
In this manuscript proposes an efficient big data security analysis on HDFS based on the combination of Improved Deep Fuzzy K-means Clustering (IDFKM) Algorithm and Modified 3D rotation data perturbation algorithm using health care database. To…
With the rapid development of science and technology pushing people into the information age, the appearance of information technology is a major change for the accounting industry, which will redefine the traditional accounting profession. The new…
With the rapid development of Internet technology, mankind has entered the era of big data. The Internet records all kinds of information, and the amount of information generated in the future is in a state of explosive growth. With the development…
In a cloud computing system, resources can be accessed at a minimal cost whenever users raise request needs. The primary goal of cloud computing is to provide cost-efficiency of service scheduling to clients fast while using the least number of…
Reciprocating compressors are widely used in petroleum industry. A small fault in reciprocating compressor may cause serious issues in operation. Traditional regular maintenance and fault diagnosis solutions cannot efficiently detect potential faults…
Advanced healthcare applications are needed in current systems. With the exponential increases in population and technology, the number of accidents and medical conditions are also drastically increasing. The demand for many types of smart technology…
Digital transformation is very evident in telecom industry bringing strategic and significant changes to petroleum E&P disciplines, the adaptation of new ecosystem of connectivity, collaboration and interoperability across systems and disciplines.…
Cloud computing has strong computing power and huge storage space. Machine learning algorithm, combining with cloud computing, makes the processing of large-scale data practical. Logistic regression algorithm is a widely popular machine…
Big data production in industrial Internet of Things (IIoT) is evident due to the massive deployment of sensors and Internet of Things (IoT) devices. However, big data processing is challenging due to limited computational, networking and storage…
Although modern chemical processes are highly automatic, abnormal situation management (ASM) still heavily relies on human operators. Process fault detection and diagnosis (FDD) are one of the most important issues of ASM but few FDD systems have…
Transmission Pipelines (TP) are large pipelines covering long distances that carry refined petroleum products for production sites to different states, countries, and continents. TPs are high-pressure pipelines, as such, they are subject to failure.…