Reflections on the Information Management System for Highway Tunnel Construction

In the process of tunnel construction in China, various accidental and unforeseen factors arise, making it a complex and intersecting endeavor involving multiple stakeholders. Safety risks are particularly prominent in tunnel construction due to its inherent nature. With the advancement of information technology, intelligent systems, and the Internet, leveraging advanced internet technologies becomes feasible for comprehensive monitoring of the entire tunnel construction process and dynamic management of all relevant information. This facilitates the intelligent and information of tunnel construction, reduces quality and safety risks, and elevates the level of tunnel construction management. This paper provides a thoughtful design for the information system of tunnel construction, aiming to serve as a reference for the development of information in tunnel engineering

Application Analysis of Ecological Slope Protection Technology for Mountain Highway Slope

With the standard of living in China is improved constantly, the construction of expressway in northeast Chongqing has also witnessed a rapid growth. The process of the construction of mountain road, the cuttings and embarkment of the road would definitely cause the distortion and movement of the high slope and create a large amount of lose sand, which seriously threat the safety of high slopes. Meanwhile, the engineering also causes destruction the original vegetation, which is hard to restore. Therefore, in the construction of expressway in mountainous areas, we should hold on to the idea of green development and adopt the combination of engineering protection and vegetational protection. The project should be revised constantly according to the situation and reduce its negative affect on ecological environment as much as possible

Application of Grouting Water Plugging Technology in Enriched Water Mountain Tunnel

In the expressway built in Chongqing northeast region, the tunnel occupies a large proportion in the total mileage. Long mountain tunnels with large buried depth and complex geological conditions are common in this area, which are prone to water gusher disasters during construction, which seriously threaten the construction quality and affect the operation of the expressway after it is completed and opened to traffic. In this paper, Jixinling Tunnel under construction in Wuzhen Expressway is taken as an example. Combined with advanced geological forecast data and site conditions, appropriate grouting materials and reasonable and feasible construction technology are selected for the surrounding advanced curtain grouting reinforcement and water plugging treatment, which effectively controls the water gushing disaster of the tunnel and ensures the safety of the construction process. It can provide some reference for the treatment of water gushing disease in mountain tunnel under similar geological conditions

Target Recognition Based on Fuzzy Dempster Data Fusion Method

Data fusion technology is widely used in automatic target recognition system. Problems in data fusion system are complex by nature and can often be characterised by not only randomness but also by fuzziness. To accommodate complex natural problems with both types of uncertainties, it is profitable to construct a data fusion structure based on fuzzy set theory and Dempster Shafer evidence theory. In this paper, after representing both, the individual attribute of target in the model database and the sensor observation or report as fuzzy membership function, a likelihood function was constructed to deal with fuzzy data collected by each sensor. The method to determine basic probability assignments of each sensor report is proposed. Sensor reports are fused through classical Dempster combination rule. A numerical example is illustrated to show the target recognition application of the fuzzy-Dempster approach.Defence Science Journal, 2010, 60(5), pp.525-530, DOI:http://dx.doi.org/10.14429/dsj.60.57

BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction

Although deep pre-trained language models have shown promising benefit in a large set of industrial scenarios, including Click-Through-Rate (CTR) prediction, how to integrate pre-trained language models that handle only textual signals into a prediction pipeline with non-textual features is challenging. Up to now two directions have been explored to integrate multi-modal inputs in fine-tuning of pre-trained language models. One consists of fusing the outcome of language models and non-textual features through an aggregation layer, resulting into ensemble framework, where the cross-information between textual and non-textual inputs are only learned in the aggregation layer. The second one consists of splitting non-textual features into fine-grained fragments and transforming the fragments to new tokens combined with textual ones, so that they can be fed directly to transformer layers in language models. However, this approach increases the complexity of the learning and inference because of the numerous additional tokens. To address these limitations, we propose in this work a novel framework BERT4CTR, with the Uni-Attention mechanism that can benefit from the interactions between non-textual and textual features while maintaining low time-costs in training and inference through a dimensionality reduction. Comprehensive experiments on both public and commercial data demonstrate that BERT4CTR can outperform significantly the state-of-the-art frameworks to handle multi-modal inputs and be applicable to CTR prediction

Application of Lyapunov matrix inequality based unsymmetrical saturated control to a multi-vectored propeller airship

The problem of the design of a controller for a multi-vectored propeller airship is addressed. The controller includes anti-windup that takes into account unsymmetrical actuator constraints. First, a linear transformation is applied to transform the unsymmetrical constraints into symmetric constraints with an amplitude-bounded exogenous disturbance. Then, a stability condition based on a quadratic Lyapunov function for the saturated closed-loop system is proposed. The condition considers both amplitude-bounded and energy-bounded exogenous disturbances. Thus, the controller design problem is transformed into a convex optimization problem expressed in a bilinear matrix inequality form. Two controller design methods were applied: one-step controller and traditional anti-windup controller. The one-step method obtains the controller and the anti-windup compensator in one step while the anti-windup controller method separates this process into the linear controller design and the compensator design. Simulation results showed that both controllers enlarge the stability zone of the saturation system and have good tracking performance. It is shown that the anti-windup controller design method not only has a larger region of stability, but the demanded actuator output exceeds the constraints less and has a smaller anti-windup coefficient matrix compared to the one-step method