Considering facilities management (FM) at the early design stage could potentially reduce efforts for maintenance during operational phase of facilities. Few in construction industry have involved facility managers into phase. It was suggested that adoption will contribute to reducing needs major repairs and alternations otherwise occur There should be an integrated data source providing information support building lifecycle. is envisaged Building Information Modelling (BIM) would fill gap...

Currently, positioning, navigation, and timing information is becoming more vital for both civil military applications. Integration of the global navigation satellite system /inertial most popular solution various carriers or vehicle positioning. As well-known, positioning accuracy will degrade in signal challenging environments. Under this condition, integration fade to a standalone inertial outputting solutions. However, without outer aiding, errors diverge quickly due noise contained raw...

Microelectromechanical System (MEMS) Inertial Measurement Unit (IMU) is popular in the community for constructing a navigation system, due to its small size and low power consumption. However, limited by manufacturing technology, MEMS IMU experiences more complicated noises errors. Thus, noise modeling suppression important improving accuracy of system based on IMU. Motivated this problem, paper, deep learning method was introduced gyroscope de-noising. Specifically, recently Recurrent...

We consider the actor-critic contextual bandit for mobile health (mHealth) intervention. State-of-the-art decision-making algorithms generally ignore outliers in data-set. In this paper, we propose a novel robust method mHealth. It can achieve conflicting goal of reducing influence outliers, while seeking similar solution compared with state-of-the-art methods on datasets without outliers. Such performance relies two technologies: (1) capped-L2 norm; (2) reliable to set threshold...

In this paper, an adaptive motion vector smoothing scheme based on weighted median filtering is proposed in order to eliminate the outliers more effectively for improving quality of side information frame-based distributed video coding. We use a simple outlier reliability measure each block compensated interpolated frame and apply only blocks with unreliable vectors. Simulation results show that algorithm improves significantly while maintaining low complexity at encoder

Facility Management (FM) is well known for its interdisciplinary knowledge and along with the growing number of green buildings low-carbon buildings, FM system become increasingly complex. Many practitioners consider Building Information Modeling (BIM) as most important technology to bring about improvements. The purpose this paper develop a BIM-enabled which integrates FM, BIM building management improve information sharing monitoring, control, equipment management. A case study implemented...

Summary The finite‐time dissipative filtering problem for time‐varying delayed Markovian jump systems with randomly occurred nonlinearity is addressed in this article. modes of the desired filter are supposed to be asynchronous original system, which more line practical situation. purpose under investigation an design could make error system bounded as well strictly dissipative. By constructing novel Lyapunov–Krasovskii functionals that covers aforementioned two and utilizing theory...

Due to the hostile marine environment, there will inevitably be unpredictable factors during operation of unmanned underwater vehicles, including changes in ocean currents, hull dimensions, and velocity measurement uncertainties. An improved finite-time adaptive tracking control issue is considered for autonomous vehicles (AUVs) with uncertain dynamics, unknown external disturbances, unavailable speed information. A state observer designed estimate position vehicle via a neural network (NN)...

Abstract This article studies the issue of command filter‐based adaptive fault‐tolerant control for a class nonlinear systems subject to unknown directions and disturbance. First, neural network is employed deal with functions, explosion complexity problem handled by filter approach. Second, bound estimation method Nussbaum function are utilized compensate influence actuator faults directions, respectively. Finally, tracking error signals guaranteed converge into bounded compact sets around...

Abstract In order to facilitate the development of impact test and restore original load effect, this paper adopts combined sine wave method composite fundamental reconstruct marine multi-diaphragm isolator. The advantages disadvantages two methods are analyzed, consistency response effect components under shock loads is studied. results show that diaphragm isolator demonstrates excellent resistance displacement limitation. different from response, reduction degree medium high frequency...

This paper summarizes the key application and importance of DL (Deep Learning) technology in communication system performance optimization. First all, it emphasizes role modern society economy, challenges brought by increasing demand. In addition, multiple applications systems are emphasized, including signal processing beamforming, channel estimation equalization, resource allocation power control. model can also be used to detect network intrusion malicious attacks. this experiment, is...

Selected the typical loess landslide to analyze and calculate, adoption of elastic-plastic dynamic FEM Drucker-Prager yield criterion, using Earthquake motion time-histories as seismic input will be based on fitting , class standard response spectrum curve in current resistance design code. From analysis slope deformation breach at different peak acceleration, spectral duration, it shows change rule soil under earthquake effect.

The dynamic effect analysis of transient unloading is one main points to the mechanism rock fragmentation by blasting. paper introduces details rhe instantaneous Use finite element method calculate process excavation; get some conclusions about unloading.

The paper analyzed major factors that influence the stability of open-pit slope and established GM (1, N) model based on program Xingshan strip mine, which provided an effective method for evaluating stability.

Due to the popularity of smartphones and wearable devices nowadays, mobile health (mHealth) technologies are promising bring positive wide impacts on people's health. State-of-the-art decision-making methods for mHealth rely some ideal assumptions. Those either assume that users completely homogenous or heterogeneous. However, in reality, a user might be similar with some, but not all, users. In this paper, we propose novel group-driven reinforcement learning method mHealth. We aim...

Based on applications in different open-pit mine and analysis of economic benefits, the paper describes mixed emulsion explosive productive technology mechanism air-space blasting, which has great value reducing production costs bringing huge blasting benefits.