ASSE

The construction industry is a $6 trillion industry worldwide with a prediction to grow towards $10,3 trillion by 2023 and constitutes an essential part of the global economy. Nevertheless, the management of the construction effort is still very manual. ...

TheChain is a solution to many problems such as monopoly, heavy state transition, and security vulnerabilities. TheChain solves these problems by introducing the intersection of regions as an incentive before allowing validators to nest a client ...

Bitcoin’s slow finality is an important factor preventing it from being widely used in real life. And other public single-chain blockchains have the same problem. In this paper, we propose a practical new protocol called Plume to achieve consensus with ...

Electricity data, which is generated in electricity Internet of things (IOT), is the important asset for electricity enterprises to discover consumer values and raise economy benefits. Due to the commercial value of electricity data and the high demands ...

Industrial Internet of Things (IIoT) is a distributed network of smart sensors, edge gateways, cloud-based applications (e.g. SaaS), which enables precise data monitoring and control of complex industrial process over arbitrary distances. Blockchain ...

The process of creating a global system to support the maintenance of devices is a great challenge, due to the amount of aspects involved, such as performance, security, communication, and user experience. This tends to become even more complex when the ...

Although test case prioritization and reduction are two different problems in regression testing, they are essentially interrelated. To improve the effectiveness of regression testing, we need to perform fewer test cases, and hope to detect program ...

Crowd stampede accident, as one of the main man-made accidents in large public gathering places, has become a problem that science must face today. In order to explore the formation mechanism of crowd stampede in public places, this paper establishes a ...

Skill training platform is an important support for the training of skill talents. Both virtual simulation training platform and real equipment training platform have their own advantages, and hybrid simulation training platform takes into account the ...

As the aging of Chinese society intensifies, aging-related community issues become increasingly serious. Visiting several hutongs and communities in Beijing, the design team conducted in-depth interviews with the elderly, with the medical staff doing ...

Boosting, as a meta-algorithm for ensemble learning, have been widely applied to variety popular machine learning algorithms. However, noises in training and testing datasets could significantly affect the performance of boosting algorithm. SAMME pays ...

Based on a simple dataset with 20 features of houses, this paper builds two forecasting models to predict house prices. It primarily takes a series of data processes, including missing value process, outlier removal, new variables creation, and ...

This article demonstrates person localization using a hybrid system consisting of an electromagnetic positioning system and a depth camera to authorize access control. The ultimate aim of this system is to distinguish moving people in a defined area by ...

Large Internet service platforms involving hundreds of inter-system calls generate a large amount of alarm data every day. How to use the network topology information and alarm data to analyze the alarm in a timely and effective manner, and finally give ...

Deep learning has achieved remarkable success in a variety of tasks in real life, such as speech and vision. However, the vast computational complexity of convolution neural networks (CNN) has limited the speed of the network running in hardware. In ...

At present, the understanding of speech by machines mostly focuses on the understanding of semantics, but speech should also include emotions in the speech. Emotion can not only strengthen semantics, but can even change semantic information. The paper ...

A model algorithm based on image information density characteristics is proposed to achieve network structure adjustment. The image dense region classification is fed back to the subsequent network. According to the classification information, the image ...

Distributed ledger technology (DLT) has been designed to ensure the correctness and integrity of transaction and process management. A ledger maintains records of data transactions as well as assures the correct execution of processes attached to data. ...

Neural networks, and in particular Convolutional Neural Networks (CNNs), are often optimized using default parameters. Neural Architecture Search (NAS) enables multiple architectures to be evaluated prior to selection of the optimal architecture. A ...