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To reduce memory footprint and run-time latency, techniques such as neural network pruning and binarization have been explored separately. However, it is unclear how to combine the best of the two worlds to get extremely small and efficient models. In this paper, we, for the first time, define the filter-level pruning problem for binary neural networks, which cannot be solved by simply migrating existing structural pruning methods for full-precision models. A novel learning-based approach is proposed to prune filters in our main/subsidiary network framework, where the main network is responsible for learning representative features to optimize the prediction performance, and the subsidiary component works as a filter selector on the main network. To avoid gradient mismatch when training the subsidiary component, we propose a layer-wise and bottom-up scheme.We also provide the theoretical and experimental comparison between our learning-based and greedy rule-based methods.Finally, we empirically demonstrate the effectiveness of our approach applied on several binary models, including binarized NIN, VGG-11, and ResNet-18, on various image classification datasets. For binary ResNet-18 on ImageNet, we use 78.6% filters but can achieve slightly better test error 49.87% (50.02%-0.15%) than the original model.1 Fully connected layers can be implemented as convolution. Therefore, in the rest of the paper, we mainly focus on convolutional layers.

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With the rapid development of urban modernization, the pile anchor support system has been widely used in the deep foundation pit project. Because the deformation of the pile anchor support system directly affects the overall stability of the foundation pit and brings serious potential safety accidents to the construction of the deep foundation pit, avoiding the deformation of the pile anchor support system can effectively prevent the occurrence of the construction safety accidents of the deep foundation pit. Based on many years of construction experience, the deformation rule of pile anchor support system of deep foundation pit is taken as the research object. This paper starts from the scheme design of pile anchor support system and the monitoring data of the foundation pit, and combines with the actual deformation of the pile anchor support system in the construction site, summarizes the causes and prevention measures of the deformation of the pile anchor support system in the construction stage. The research results show that in the initial stage of construction, the top of the pile anchor support system inclines forward to the pit and gradually changes into a bow shape. This kind of deformation is related to the increase of excavation depth and the erosion of active soil pressure area by surface water. In the later stage of construction, the deformation of the top of the foundation pit converges and the bottom of the pile anchor support system protrudes into the pit, which is related to the erosion of the passive soil pressure area by rainwater and the embedded depth of the pile foundation.

With the continuous enhancement of China’s economic strength, the scale and quantity of expressway construction are constantly improving, and the expressway network has basically covered the whole country. With the rapid increase of the number of vehicles, the traffic pressure is also increasing, which poses a more serious challenge to keep the expressway unblocked. First, the increasing traffic pressure is very likely to lead to the occurrence of various emergencies. Second, the completely closed expressway and non-central city promote the emergence of an independent environment, which makes the expressway once an emergency, will have a very negative impact on the effective use of the expressway. Third, every single accident on the expressway will lead to serious traffic jam. At the same time, if the emergency rescue on the expressway is not properly implemented, it will not only bring all kinds of negative obstacles to people’s lives, but also seriously affect people’s property safety and social order stability. Therefore, the construction and improvement of the expressway emergency and related emergency rescue system has gradually become the focus of people’s attention. Traffic management and control under incident conditions is an important link in the emergency rescue system, so this paper conducts research on traffic management and control measures under emergency conditions. Expressway design phase, normally takes into account the traffic management and control measures, such as the location of the median opening, the location of the emergency rescue centre, and the traffic organization mode. However, in-depth research should be carried out to ensure its rationality. This paper takes as an example of an expressway in our country, based on VISSIM simulation technology, quantitative analysis was carried out on the design phase of the traffic management and control measures, provide the basis for the optimization of traffic management and control measures. The evaluation method proposed in this paper is universal, and other expressways can also use this method to evaluate the effectiveness of traffic management and control measures in the design stage.

With the rapid development of urbanization in China, people’s requirements for the quality of life and environment are constantly improving. However, the shortage of resources and the deterioration of environment are becoming more and more serious. Environmental protection has become the only way for the sustainable development of society. Therefore, the application of more and more new green building materials has become the key to the sustainable development of the construction industry. In the face of the rapid development of modern construction industry, engineering quality and functional requirements have become the basic requirements, the green environmental protection has become a higher requirement. The application of green environmental protection building materials in engineering construction is the main development direction of the transformation of modern construction industry. At the same time, it conforms to the policy of environmentally sustainable development of all sectors of society, and promotes the construction industry to meet the higher requirements of green environmental protection living environment. This paper studied the performance and waterproof mechanism of a kind of high polymer (HDPE) self-adhered waterproofing membrane and its application in construction. Compared with the traditional waterproofing membrane, the high polymer self-adhered waterproofing membrane can give full play to the advantages of environmental protection on the premise of meeting the building quality.

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With the accelerating process of urbanization in China, civil engineering construction develops steadily, building modeling is very different, and the trend of functional diversification is gradually revealed. As the basic process of construction engineering, the quality of earthwork backfill plays an important role in engineering construction. If the quality of the backfill cannot meet the design requirements, the surface subsidence will affect the appearance of the building and cause quality defects, and the insufficient bearing capacity and uneven compaction of the backfill will cause quality accidents such as the inclination of the main structure or structural cracking. In this paper, taking a certain engineering earthwork backfill project as an example, through the dismantling of the construction process of backfill, from the source of backfill soil to the control of backfill quality process, using the measured data to analyze and study the factors affecting the compactness of backfill. The results show that the main factors affecting the compactness of backfill are soil particle size, moisture content, compaction thickness and compaction times. Through the experimental study, the targeted quality control measures are put forward to ensure that the overall quality of the construction project meets the design requirements.