Abstract:

In order to address the limitations of traditional high-resolution landslide image segmentation methods in handling details and blurred boundaries, an enhanced Deeplabv3+ model (SCPD-Deeplabv3+) was proposed, which integrated Swin Transformer network, convolutional block attention module (CBAM), position attention feature pyramid network (PA-FPN), and multi-layer convolutional decoder. Firstly, the baseline model Deeplabv3+ was improved by adopting Swin Transformer as the backbone network, introducing CBAM into the atrous spatial pyramid pooling (ASPP) module of Deeplabv3+, integrating PA-FPN into the decoder, and adding more convolutional layers during the upsampling process. Secondly, the improved Deeplabv3+ model was trained. Finally, the high-resolution landslide image test set was fed into the trained SCPD-Deeplabv3+ model for ablation experiments to analyze the role of each module, and comparisons with mainstream models such as UNet, proportional-integral-derivative network (PIDNet), and real-time transformer (RTFormer) for semantic segmentation were performed through quantitative evaluation and visualization. The results show that SCPD-Deeplabv3+ achieves an average intersection over union of 90.18%, precision of 93.57%, recall of 94.47%, and F1-score of 93.58%, respectively, which are improved by 3.39 percentage points, 1.45 percentage points, 3.90 percentage points, and 3.51 percentage points compared with the unmodified model. The proposed method effectively enhances the segmentation accuracy and detail restoration capability for landslide areas, providing a reliable technical means for remote sensing landslide monitoring and disaster assessment.

Abstract:

To address the issues of limited receptive field and edge blurring in optical flow estimation, an optical flow estimation model based on multi-scale self-attention and local feature matching was proposed. This model was an improvement upon the recurrent all-pairs field transforms (RAFT) model.Firstly, a multi-scale self-attention mechanism was integrated into the feature extraction module, which learned the dependencies between long-distance pixels using multi-scale self-attention to obtain image feature information. Secondly, a local matching module was added during the upsampling process of low-level optical flow to generate high-resolution optical flow. Then, the model was trained on optical flow estimation datasets. Finally, ablation experiments and comparative experiments were conducted on the trained model. The results show that the proposed model achieves average end point error (AEPE) of 1.18 and 1.67 on the MPI Sintel Clean and MPI Sintel Final datasets, respectively, and 1.01 and 3.40% for average end point error and flow error of all (Fl-all) on the KITTI-2015 dataset, all outperforming RAFT. The proposed optical flow estimation model exhibits high accuracy in optical flow estimation, which can provide effective support for computer vision tasks relying on high-precision motion information.

Abstract:

In order to further enhance the engineering quality of deep soft rock fill after dynamic compaction treatment, four kinds of energy level dynamic compaction tests were carried out, including low, medium, high and super high. By systematically monitoring the settlement per blow and ground heave deformation, the relationship between settlement per blow and the number of compaction blows was analyzed, along with the deformation patterns of ground heave around the compaction pit. Through dynamic penetration tests, curves illustrating the variation of dynamic penetration resistance with depth before and after dynamic compaction were plotted. Based on these results, the first reinforcement depth and the second reinforcement depth were determined. The results show that the settlement of dynamic compaction shows significant nonlinear characteristics as the number of hammer blows increases, which can be divided into three stages : rapid development stage, stable development stage and stable stage. The soil near the rammer has significant settlement under the action of huge impact pressure. The settlement amount decreases as the distance from the center of the compacted pit increases. The soil on both sides of the rammer is squeezed by the lower part, and there is a little uplift. The influence range of ground deformation around the ramming pit is mainly concentrated in 3-12 m. The dynamic compaction reinforcement depth is divided into the first reinforcement depth and the second reinforcement depth by using the growth rate of the number of dynamic probes before and after dynamic compaction. It is found that the first reinforcement depth, the second reinforcement depth and the tamping energy are basically polynomial related. The research results can not only provide reference for the design and construction of dynamic compaction method, but also help to effectively control the construction of dynamic compaction in many aspects such as construction period, cost and quality, and further promote the application of dynamic compaction technology in engineering practice.

Abstract:

In order to study the influencing factors and sensitivity of local stability of the diaphragm wall in sandy soil layers, the disturbed area of trenching construction was determined through the Rankine active earth pressure theory. The local instability model of trench wall was constructed as a semi-elliptical oblique section. The solution of local stability coefficient of diaphragm trench wall was derived by using the limit equilibrium analysis method. The sensitivity of weak interlayer parameters, mud parameters, groundwater level depth, ground load, trench section length and other factors to the stability of trench wall was analyzed. The results show that the increase of the internal friction angle and cohesion of the weak interlayer increases the stability coefficient of the trench wall by 288% and 83%, respectively, the increase of the mud weight and liquid level depth increases the stability of the trench wall by 69% and -24%, respectively, and the increase of the groundwater level, ground load and trench section length increases the stability of the trench wall by 53%, -6% and -13%, respectively. The analytical solution proposed in this study can provide a theoretical basis for the stability evaluation of diaphragm wall crossing weak interlayers in sand soil layers. By optimizing mud parameters and construction technology, the trench face stability of diaphragm wall can be effectively improved, which has important guiding value for the design and construction of diaphragm wall projects in water-rich sand soil layers.

Abstract:

To address the issues of low signal-to-noise ratio, high background noise, and non-stationarity in detecting concrete structure source signals based on piezoelectric wave method, a piezoelectric signal filtering method based on K-singular value decomposition (K-SVD) to update the dictionary was proposed, and the damage of concrete structures were identified. Firstly, piezoelectric signals from concrete structures in both cracked and intact states were collected and classified. Secondly, the acquired piezoelectric signals were filtered, and the the results using the K-SVD dictionary learning method were compared and analyzed with the unfiltered results to evaluate the applicability of the K-SVD dictionary learning filtering method. Finally, the filtered piezoelectric signals using ResNet were classified and recognized. The results show that the method based on K-SVD dictionary learning and ResNet can stably identify the piezoelectric signals of internal damage in concrete structures. The accuracy of damage signal recognition in training set and test set is 93.25% and 92.38%, respectively. The recognition accuracy of lossless signal is 95.41% and 94.67%,respectively, which is more than 10 percentage points higher than that of unfiltered signal. The effective damage identification in concrete bridge structures through the integration of K-SVD dictionary learning and ResNet has achieved the localization of internal damage areas in the concrete structures. The research findings present a novel approach to data processing in the health monitoring of concrete bridge structures.

Abstract:

This study evaluated the consistency of product quality between modern and traditional preparation processes for Toddalia asiatica formula granules, and aimed to establish a stable and controllable production process. Starting from the concept of quality by design, based on single factor experiments, the key factors affecting the extraction, soaking time, number of extractions, extraction time, and water volume were identified. Hesperidin content, toddaloactone content, nitidine chloride content, characteristic peak similarity, and extract yield were used as evaluation indicators. The extraction process using response surface methodology combined with reference correlation and an AHP-CRITIC comprehensive evaluation method was optimized, and suitable parameters for concentration, drying, and granulation were clarified through single-factor tests. The results indicate that the optimal extraction conditions are adding eight times the amount of water, extracting once, and extracting for 120 minutes. Under these conditions, the comprehensive score reaches 53.620. The suitable concentration density is 1.125-1.250 g/cm³, under a vacuum of 50-200 MPa, and temperature of 50-90 ℃. The study recommends spray drying for the liquid extract, with a feed rate of 8-14 mL/min and inlet temperature of 160-180 ℃. For granulation, dry processing is selected using dextrin as filler, with drug-excipient ratio from 1∶08 to 1∶1. Roller pressure is set at 100-120 bar, feeding speed at 242-262 rad/s, and roller speed at 0.29-0.42 rad/s. The proposed process is reasonable and feasible, which provides a basis for industrial production and quality control of Toddalia asiatica formula granules.

Abstract:

In order to reduce the impact of ozone (O₃) on the ambient air quality and promote the continuous improvement of the ambient air quality in Shijiazhuang City, the method of characteristic ratio and positive matrix factorization (PMF) were used to analyze the sources of volatile organic compounds (VOCs) in the atmosphere in Shijiazhuang City during the period of O₃ pollution prevention and control campaign(hereinafter referred to as the O₃ campaign period) from May to September 2024. The results show that: 1) The frequent occurrence of high value of O₃ in Shijiazhuang city during the O₃ control period was affected by the unfavorable meteorological factors and high concentration of O₃ precursors; 2) The mass concentration of VOCs was 80.3 μg/m³ during the O₃ control period, and the mass concentration of VOCs on O₃ exceeded days was 87 μg/m³ higher than that on O₃ non-exceeded days; Oxygenated VOCs (OVOCs) components contribute the most in the three periods, with acetone contributing the highest among the top 15 VOCs species; 3) The ozone formation potential (OFP) and hydroxyl consumption rate (L·OH) during the O₃ control period were 188.7 μg/m³ and 8.3 s^-1, respectively, and the OFP and L·OH on O₃ exceeded days were 22.2 μg/m³ and 3.2 s^-1 higher than those on non-exceeded days, respectively; 4)The results of refined source apportionment show that during the O₃ control period, VOCs are most affected by petrochemicals and chemicals, as well as vehicle exhaust emissions; The contribution of VOCs from surface coating, cement/glass, plant emission, pharmaceutical manufacturing, electricity and pesticide use on O₃ exceeded days is higher than that on O₃ non-exceeded days, while the contribution of VOCs from vehicle, petrochemicals and chemicals, and non-road mobile machinery is lower than that on O₃ non-exceeded days. The research results provide a basis for further pollution control of petrochemical and chemical industries, as well as vehicle exhaust emissions in Shijiazhuang. and also provide data support for the adoption of targeted pollution source control plans and the reduction of the impact of O₃ on environmental air quality.

Abstract:

To address the problem of insufficient guidance accuracy and limited damage effectiveness of traditional warheads when engaging highly maneuverable, high-altitude, and high-speed fighter aircraft, a D-shaped warhead with directional damage characteristics was adopted. By systematically optimizing damage parameter and energy transfer path, an efficient damage system tailored for high-speed fighter targets was constructed. A penetration model of a 120° D-shaped warhead against the composite skin of fighter aircraft was developed based on the Autodyn simulation platform. Considering seven common conditions, the case yielding the highest fragment lethality was selected to evaluate the optimal interception angle for damaging the cockpit canopy. The results indicate that during dynamic detonation, fragment dispersion velocity increases with a directional tilt. The penetration effect on the cockpit canopy is maximized when the relative fragment velocity is perpendicular to the aircraft's velocity (interception angle of 45.96°). The derived formulas for initial fragment velocity and interception angle demonstrate universal applicability. This research provides a theoretical basis for rapidly calculating the optimal interception angle between D-shaped warheads and fighter targets.

Abstract:

In order to solve the problems of insufficient accuracy in predicting the scale of fractures in tight reservoirs, a multi-objective regression prediction model was constructed by integrating the black winged kite algorithm (BKA) and random forest (RF) algorithm. Firstly, taking the Chang 4+5 and Chang 6 reservoirs in the Ordos Basin as the research objects, a large-scale sample set was generated through on-site data and FrSmart fracturing numerical simulation software, covering various geological and construction conditions; Secondly, Pearson correlation coefficient and random forest algorithm were used to determine the key geological and construction factors that affect fracture length, width, and height, and to conduct correlation analysis and importance ranking of these factors; Finally, the black winged kite algorithm was used to optimize the hyper parameters of the random forest model and predict the fracture scale characteristics. The results indicate that construction parameters have the most significant impact on fracture scale, while geological parameters mainly control fracture morphology. The constructed BKA-RF model outperforms particle swarm optimization-random forest (PSO-RF） in predicting fracture length, width, and height. The average relative error of the test set for fracture length prediction is only 2.44%, and the coefficient of determination R² exceeds 0.94. This model not only provides reliable support for optimizing fracturing parameters and on-site construction design, but also offers a new technological path for efficient development of tight oil and gas reservoirs.

Abstract:

In order to improve the quality of digital delivery data and reinforce the data foundation for digital factory construction projects, this study took the implemented digital delivery projects as the research subjects to explore the crucial elements and inspection items of the quality review system. In light of the current challenges and limitations in the review process, improvements were made to the original review plan by introducing review tool modules, integrating review reports, and other methods.The review process was optimized, and the implementation effect of the overall technical improvement plan in the project was analyzed. The findings show that:1) The establishment of a comprehensive quality review organizational framework, the determination of a rational review entity responsible party, and the formulation of a complete inspection plan for deliverables have significantly enhanced the quality of digital delivery data across the entire factory. 2) The pre-positioning of 2D and 3D model consistency check, the introduction of preliminary review and intelligent review tools, and the development of integrated reports have strengthened the integration of design review and verification, reduced design rework and manual operations, and improved the accuracy and efficiency of the review process. 3) After the application of the above advanced review technologies, the error rate of reports has decreased by 51.87%. The number of review rounds has been reduced from 12 to 8, and the time required for reviewing the delivered data of the entire factory has been shortened by 80%, ensuring that the owner can accept the deliverables of the entire factory according to the original plan.The research results can offer solutions and insights for the quality review of digital delivery data, laying a solid foundation for the smooth implementation of digital delivery tasks and the construction and operation of digital factories.

Abstract:

为了提高小型随车起重机出厂起重性能测试的方便性和高效性。依照随车起重机自身的车载吊臂工作性能,设计了一种基于PLC控制的液压试验平台检测设备。根据随车起重机在工作中需要完成的动作和性能参数要求,设计了一套电-液控制系统,描述了液压试验平台结合多传感器实时采集数据与PLC进行RS485通信,并对液压系统中电磁阀电信号进行调控,以此检测随车起重机起重性能状况。结果表明:该液压试验台经对2 t和3.5 t小型随车起重机进行起重性能测试的结果符合厂家所设计的起重机性能参数范围。该套液压检测设备采用触摸屏进行人机交互,界面操作简单、系统运行平稳,既保证了性能检测的准确度,又可以有效缩短检测周期,提高了出厂性能检测的效率。

Abstract:

为了夯实近代童装文物复原研究的理论基础,以河北永清服装博物馆内一件大红色提花绸儿童夹袄为研究对象,对文物的纤维色彩、形制结构和面料组织结构进行深入研究。采用显微观察、红外光谱、紫外可见光谱、薄层色谱等方法对文物的纤维与染料进行检测鉴别,同时用平面接触式测量法获取文物数据,密度镜测量法分析面料组织,并对文物结构图和组织图进行复原。结果表式测量法获取文物数据,密度镜测量法分析面料组织,并对文物结构图和组织图进行复原。结果表明:该夹袄整体采用丝纤维制成,多为富贵儿童穿着;红色衣身为偶氮类染料染色,缘饰为靛系染料染色,说明近代已使用合成染料,且色泽艳丽;服装结构为盘扣缘饰(满族特色)和交领绑带(汉族特色)并用,为满汉融合背景下的特殊形制。研究结果可使近代童装的理论研究更加完善,为近代童装的复原研究提供方法和科学依据。

Abstract:

In order to analyze haze change regularity and the origin of the haze weather and provide technical support for its prevention, the correlation between the haze and meteorological condition and pollutants concentration are discussed based on the surface meteorological observation data and the pollutants concentration monitoring data from the step station of Shijiazhuang environmental monitoring center. It is proved that the haze days during the 1960s is minimal; the haze days rises sharply during the initial stages for reform and opening-up and the 1990s; the haze days obviously decreases after the 2000s.The haze occurs more frequently in autumn (20.5%) and winter (53.5%), and less in spring(15.2%) and summer(10.8%). Quiet wind, lower humidity and continuous no-rain days are the important causes of the haze. The mass concentration change regularity of SO₂, NO_<i>x, PM2.5 and PM10 (the correlation coefficients are 78.4%,70.9%,77.3% and 73.8%, respectively) is coherence with the haze days of Shijiazhuang City. Their mass concentration is obviously higher in haze days than in the normal days. Their mass concentration is highest in winter, lower in autumn and lowest in summer.

Abstract:

Antimony-doped tin dioxide is an excellent catalyst, which has good electrical conductivity and high temperature stability. The sol-gel method is used to prepare ATO nanopowders, and their structure characterization and performance analysis are also conducted. Stable tin and antimony citrate complexes solution is obtained from the starting materials metal tin and antimony trioxide. The solution undergoes sol-gel transformtion when acetonitrile is added dropwise. Antimony doped tin oxide nanoparticles are obtained with the washed gel heat-treated at different temperatures. The antimony doped tin oxide nanoparticles exhibit shrinking crystallite size, increasing specific surface area and tin oxide lattice parameters changing with the rise of antimony doping content. The crystalline size increases, while speciflc surface area decreases with the increase of annealing temperature. The particle crystallinity shows a decrease tendency for the high antimony doping level with increasing temperatures.

Abstract:

Po lyv inyl Alcoho l ( PVA) is w ater??soluble polymer , and no n??t ox ic t o human body. It has go od bio??compat ibility, so PVA develops rapidly in medical t reatment . Develo pment in the study o f PVA, including adv ance of PVA hydro??gel in eye, wo und dr essing s and art ificial car tilag e, and application o f PVA member in medicine and so o n are intro duced in det ail in t he re?? v iew

Abstract:

This paper introduced the widespread use of acetonitrile as a good organic solvent and an important raw material in the field of chemical industry, medicine and so on, and gave a summary report about some direct and indirect synthesis methods in regard of the properties of acetonitrile. Then the potential application prospect and synthetic method of acetonitrile were put forward.

Abstract:

To provide a foundation for further study on Huanglianwendan decoction and its possible clinical applications,this paper reviewed the recent 10years'' literatures about its clinical studies, including those on treating psychosis, digestive system disease, decompensation disease, chronic renal failure disease, curdiovascular, and otorhinolaryngology disease.

Abstract:

Po lymer nano par ticles as drug car rier sy st ems is a new kind o f drug deliver y sy stem. It is easy to get to site- specific throug h bio film bar rier fo r the nanoparticles. Po lymer nanopart icles hav e new characterist ics fo r multifo rmity of polymeric mater ial, so po lymer nano par ticles em ployed as drug carr iers hav e att racted attention. In this r ev iew , the tw o prepa rativ e methods for dispersio n of the pr eformed po lymer s and polymerization o f mo nomers are ex pounded, t he measur ing metho d of particles d-i ameter , modality, moleculer w eight, Zeta po tent ial and thermic perfo rmance are investig ated, and the applicatio ns are discussed. At last are the sug g estions o n development t rend fo r polymer nanoparticles as drug car rier

Abstract:

This paper investigated the feasibility of detecting Sudan Red in foods with thin layer chromatography, and compared the result of Sudan Red separation with high-effect silica gel G plates (HPSGG) and the result of it with polyamide plates. It is found that HPSGG has more advantages over polyamide plates in separating Sudan Red. HPSGG gives high detection sensitivity, up to 0.3mg/ kg, fast analysis and clear separation. Polyamide plates needs 40minutes while high-effect silica gel G plates needs only 5～10minutes. The Sudan pigments and other interference pigments such as pepper pigments,can be completely separated. The method can be applied to rapidly detect Sudan Red illegally added in foods such as chilli products and hamburgers.

Abstract:

This article summarized the physical chemistry and biological treatment technologies of high salinity organic wastewater and introduced combined processes of biological and other treatments. Halophilic bacteria and salt-tolerant microzyme have wide practicability in the treatment of highsalinity wastewater.

Abstract:

This paper introduced the production process and application of pentaerythritol and analyzed its market situation.Then the paper pointed out the problems unsettled and gave some advices.

Abstract:

This paper summarized the methods of the measurement of total nitrogen, the measurement of total phosphorus and the combined measurement.It compared the merits and demerits of these methods and put forward the development trend of the measurement methods.

Abstract:

Face recognition is a technique used for identify identity by analyzing face images and distilling effective recognition information from face images. This article presented an arithmetic of face recognition based on eigenfaces, gave the explaination of eigenface,and made a simulation of DRL face database by using program baced on OpenCV. This method recognizes and classifies face images by computing the space distance between face image and eigenfaces,and it can recognize face image quickly and exactly.

Abstract:

A br ief intro ductio n to DNP3. 0 ( Distr ibuted Netwo rk Pr oto co l 3. 0) is presented at this paper to gether w ith an explanation o f t he architecture and functio nality pr ovided by this prot ocol. An appr oach to implement the pr oto co l that ado pts the OOP and the VCL component techniques in the Delphi prog r amm ing envir onment is discussed

Abstract:

Based on sixsigma,the software process defects management model is established. The model combines the method of six sigma to provide effective solution for software process defects management. The model can get better quality and better customer satisfaction by optimizing the software development process, tracking adverse factors and eliminating defects.

Abstract:

The posterior distribution of traditional dynamic topic model requires complex reasoning process, and a small change in model assume will require re-deduction, meanwhile with high time cost, which restricts the variability and generality of the model. A dynamic topic model based on variational autoencoder fusing with dynamic factor graph for inference is proposed in order to improve the performance of dynamic topic model. The model makes a reparameterization trick to evidence lower bound to generate a lower estimator, and converts the hidden parameters to a group of auxiliary parameters, which makes new parameters not depend on variational parameters; standard stochastic gradient descent method can be available to variational objective function directly. At the same time, integrating the dynamic factor graph on modeling the state space model weakens the probabilistic of the model, simplifies the optimization process, and makes effective inference. The experimental results show that this model guarantees the accuracy, and the simplified model reduces the time cost effectively， which will provide more possibilities for dynamic topic model to be applied to complex time scenarios effectively.