Browse Items (159 total)

  • Tags: Internet of Things

The objective of this paper is to demonstrate the process of unleashing the potential of digital oil fields by combining the power of Big Data platform with the Internet of Things (IoT). This new method enables efficient machine learning training…

The objective of this paper is to demonstrate the process of unleashing the potential of digital oil fields by combining the power of Big Data platform with the Internet of Things (IoT). This new method enables efficient machine learning training…

The objective of this paper is to demonstrate the process of unleashing the potential of digital oil fields by combining the power of Big Data platform with the Internet of Things (IoT). This new method enables efficient machine learning training…

The objective of this paper is to demonstrate the process of unleashing the potential of digital oil fields by combining the power of Big Data platform with the Internet of Things (IoT). This new method enables efficient machine learning training…

In recent years, gas leaks have become a major problem in households that use household gas, so we have developed the proposed gas leak detection and monitoring system. An LPG leak-detecting system prevents risks like gas cylinder explosions. Given…

The purpose of the paper is to present the implementation of FSO2 life extension program by using big data and the Industrial Internet of Things (lloT). We will explain why it was decided to implement the program and how to use big data and the…

The purpose of the paper is to present the implementation of FSO2 life extension program by using big data and the Industrial Internet of Things (lloT). We will explain why it was decided to implement the program and how to use big data and the…

The purpose of the paper is to present the implementation of FSO2 life extension program by using big data and the Industrial Internet of Things (lloT). We will explain why it was decided to implement the program and how to use big data and the…

In recent years, gas leaks have become a major problem in households that use household gas, so we have developed the proposed gas leak detection and monitoring system. An LPG leak-detecting system prevents risks like gas cylinder explosions. Given…

In order to promote the development of agro-ecological economy and improve the reliability of the development model of agricultural circular economy, this paper explores the general framework of the coordinated development of the agricultural…

Within any country, the safety of the citizens is a major concern. Since LPG is highly flammable and can create dangerous situations in life. To avoid such situations, this system modifies the existing safety system of LPG leakage detection. The…

With the rapid growth of the Internet-of-Things (IoT), security issues for the IoT are becoming increasingly serious. Memory leaks are a common and harmful software defect for IoT programs running on resource-limited devices. Static analysis is an…

With the rapid growth of the Internet-of-Things (IoT), security issues for the IoT are becoming increasingly serious. Memory leaks are a common and harmful software defect for IoT programs running on resource-limited devices. Static analysis is an…

There are few studies for the classification detection and dynamic multitarget detection of the targets in front of vehicles. In order to solve this problem, a dynamic multitarget detection algorithm is proposed. First, a dynamic multitarget…

Universities are not only the front line of national ideological and political works but also the gathering place of national talent training, which is of far-reaching significance to the national strategic development, and it is vital to do a good…

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…

Standard regression techniques model only the mean of the response variable. Quantile regression (QR) is more powerful in that it depicts a comprehensive relationship between the response variable and independent covariates at different quantiles. It…

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…

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…

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…

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…

Currently the use and application of technology in every company's operational activities has changed the way companies conduct their business. With the use of technology, business competition is increasing, companies in this case petroleum industry…

By leveraging IoT Big Data, BPM can gain real-time physical world information to make faster and more accurate decisions, but there is a technical gap between IoT sensors and businesses. To bridge the gap, an event penetration mechanism from IoT…

In oil exploitation, we often improve oil recovery by water injection, which is also the main reason to increase the water content of crude oil. At present, the most important artificial water injection technology in China is based on reservoir…

In oil exploitation, we often improve oil recovery by water injection, which is also the main reason to increase the water content of crude oil. At present, the most important artificial water injection technology in China is based on reservoir…

In oil exploitation, we often improve oil recovery by water injection, which is also the main reason to increase the water content of crude oil. At present, the most important artificial water injection technology in China is based on reservoir…

In oil exploitation, we often improve oil recovery by water injection, which is also the main reason to increase the water content of crude oil. At present, the most important artificial water injection technology in China is based on reservoir…

In oil exploitation, we often improve oil recovery by water injection, which is also the main reason to increase the water content of crude oil. At present, the most important artificial water injection technology in China is based on reservoir…

Air pollution is a severe health issue in today's contemporary world. In India, at least 40 million people breathe unsafe air (i.e. 10 times or more over the WHO safe limits). The main sources of air pollution are well known - emissions are from cars…

Air pollution is a severe health issue in today's contemporary world. In India, at least 40 million people breathe unsafe air (i.e. 10 times or more over the WHO safe limits). The main sources of air pollution are well known - emissions are from cars…

Liquefied Petroleum Gas (LPG) is highly inflammable and can burn even at some distance from the source of leakage. One of the preventive actions to avoid the danger associated with gas leakage is to install a gas leakage detector at suitable…

The following contribution illustrates effects and potentials that digitalization has on the supply chain. Supply Chain Management itself is considered to be a tool for visualization, optimization and synchronization of various groups of processes…

The following contribution illustrates effects and potentials that digitalization has on the supply chain. Supply Chain Management itself is considered to be a tool for visualization, optimization and synchronization of various groups of processes…

The following contribution illustrates effects and potentials that digitalization has on the supply chain. Supply Chain Management itself is considered to be a tool for visualization, optimization and synchronization of various groups of processes…

The following contribution illustrates effects and potentials that digitalization has on the supply chain. Supply Chain Management itself is considered to be a tool for visualization, optimization and synchronization of various groups of processes…

Developments of technology along with human work is growing, making the role of technology as an optimization effort in helping human work is needed. One of the technologies that is developing is Internet of Things or commonly abbreviated as IoT.…

Developments of technology along with human work is growing, making the role of technology as an optimization effort in helping human work is needed. One of the technologies that is developing is Internet of Things or commonly abbreviated as IoT.…

Developments of technology along with human work is growing, making the role of technology as an optimization effort in helping human work is needed. One of the technologies that is developing is Internet of Things or commonly abbreviated as IoT.…

Developments of technology along with human work is growing, making the role of technology as an optimization effort in helping human work is needed. One of the technologies that is developing is Internet of Things or commonly abbreviated as IoT.…

The sky-scraping increase in computer power includes in-depth study for all. In-depth learning provides accurate information at all times compared to other learning algorithms. Then, the Internet of Things (IoT) has grown in popularity in the field,…

The sky-scraping increase in computer power includes in-depth study for all. In-depth learning provides accurate information at all times compared to other learning algorithms. Then, the Internet of Things (IoT) has grown in popularity in the field,…

The sky-scraping increase in computer power includes in-depth study for all. In-depth learning provides accurate information at all times compared to other learning algorithms. Then, the Internet of Things (IoT) has grown in popularity in the field,…

The sky-scraping increase in computer power includes in-depth study for all. In-depth learning provides accurate information at all times compared to other learning algorithms. Then, the Internet of Things (IoT) has grown in popularity in the field,…

The wide adoption of IoT technologies has accelerated the accumulation of big data. Recommender systems (RS) is one of the most effective methods to extract user interested items from the huge volume of big data. However, implementing a recommender…

This study examines the 4 typical natural plant communities at the coastal waterfront of Jiaozhou Bay. Based on field survey and sampling, laboratory analysis, application of classical statistical methods and the requirements for urban ecological…

This article addresses the stabilization of chaotic characteristics in abnormal data by proposing chaotic correlation feature extraction of big data clustering based on the Internet of things. The chaotic features in big data usually show complex…

This article addresses the stabilization of chaotic characteristics in abnormal data by proposing chaotic correlation feature extraction of big data clustering based on the Internet of things. The chaotic features in big data usually show complex…

This article addresses the stabilization of chaotic characteristics in abnormal data by proposing chaotic correlation feature extraction of big data clustering based on the Internet of things. The chaotic features in big data usually show complex…

This article addresses the stabilization of chaotic characteristics in abnormal data by proposing chaotic correlation feature extraction of big data clustering based on the Internet of things. The chaotic features in big data usually show complex…

This article addresses the stabilization of chaotic characteristics in abnormal data by proposing chaotic correlation feature extraction of big data clustering based on the Internet of things. The chaotic features in big data usually show complex…
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