bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adsorption Characteristics of Ethyl Paraben from Aqueous Solution Using Rice Husk Biochar
Authors: Guo Meng , Chen Wenjing , Ru Han , Yang Lili , Zhang Yu 
Published: September 2020

Abstract
The rice husk was used as raw material to prepare the biochar adsorbent at 300°C, 400°C and 500°C, which were named BC300, BC400 and BC500. Ethyl paraben was subject to batch adsorption in aqueous medium by the prepared rice husk biochar. The results of adsorption experiments show that the preparation temperature of biochar significantly affects its adsorption effect on ethyl paraben. The adsorption capacity of ethyl paraben from three kinds of biochar was BC500 > BC400 > BC300. In addition, the initial concentration of ethyl paraben in waste water, the temperature and time of adsorption can also affect the adsorption effect. The reaction reached adsorption equilibrium after 270min. The results showed a theoretical basis for the removal of organic pollutants such as ethyl paraben.
Research on the Evaluation Model of Multi-objective Optimal Allocation of Water Resources in Guizhou Province
Authors: Wang Huan , Mei Zaimei 
Published: September 2020

Abstract
Aiming at the characteristics of multiple water sources and multiple users in Guizhou’s urban water system, this paper establishes a multi-objective allocation model of urban water resources. The paper uses multi-objective programming to solve the model, and analyzes the impact of different target weights on the water resources allocation results of Guizhou Province in the fuzzy multi-objective decision model. The results show that the optimization model and fuzzy decision are reasonable and feasible.
Design and implementation of Vibration Detecting System of Ship-borne Radar
Authors: Tao Min , Zhang Hao , Wang Yu 
Published: September 2020

Abstract
Although redundancy design has been adopted by measure angle computer (MAC), but the switches between the host and the backup were by mankind which can’t catch up with requirement of system real time. This paper analyses the task of primary-backup switching and confirm the time of auto switching are system fault and communication interruption. It proposes a new strategy by using the characteristic of dual -network of MAC by which add fault status words in net send data bags and changes thenet send time series.This strategy doesn’t need change hardware and only last one frame data on switching process which great enhancing the reliability of MAC.
Real-Time Object Detection based on Divergent Activation
Authors: Liang Hui , Wang Yueyuan , Ma Yuan , Liu Kewen 
Published: September 2020

Abstract
Object detection is a research hotspot in the field of computer vision and has significant research value in the fields e.g. human-computer interaction, video surveillance, automatic driving, face recognition, medical imaging and etc. This paper proposes a novel real-time object detection algorithm based on YOLOv2 and divergent activation which aims to extract semantically complementary and discriminative features. The introduced divergent activation mechanism can be divided into differential divergent activation and hierarchical divergent activation that obtains the spatial complementary features by fusing different spatial distribution information of objects at the same level and activates a complete range of objects by fusing complementary semantics of objects from different levels, respectively. Experimental results on PASCAL VOC2007 and PASCAL VOC2012 show that our proposed algorithm reached 81.0% on mean average precision(mAP), indicating the effectiveness of the proposed algorithm.
Economic Adaptation Grade Evaluation of Integrated Transport System Based on Matter-Element Extension with ANP
Authors: Zhang Jinhui 
Published: September 2020

Abstract
Based on the concept of coordinated development between transportation and economy, a set of evaluation index system is constructed from total scale, transportation structure and service level, whichis to measure economic adaptability of transport system. Then Matter-Element Extension with ANP algorithm is put forward to calculate the economic adaptation grade of integrated transport system with empirical analysis of Yunnan province, which has verified that this model is applicable.
8-Bit NCL Asynchronous Multiplier based on Radix-4 Booth Algorithm
Authors: Deng Weixiang , Cheng Wenxiang , Cheng Jie , Ni Leibin , He Anping 
Published: September 2020

Abstract
Multiplier is one of the key modules in signal processing circuit and processor, and its robustness is especially important in the complex environment. Due to the lack of robustness of single-rail logic, a Null Convention Logic (NCL) Multiplier based on the Radix-4 Booth 8-bit fast parallel structure is proposed in this paper. The Radix-4 Booth algorithm reduces the number of partial products to lower the computing time, and the “sign generate” algorithm simplifies sign extension bitcomputation. In order to demonstrate the effectiveness of the proposed hardware implementation scheme, we implement an improved 8-bit NCL multiplier on vivado platform, the speed of which is 14% higher than that of the traditional Wallace NCL 8bit multiplier.
Design of Emergency Evacuation Scheme for Louvre
Authors: Zhang Zhuoqun , Wang Chen , Wang Yinzhe 
Published: September 2020

Abstract
In this paper, we used four steps in analyzing the optimal model of evacuation within the Louvre. For step 1, we refer to the traffic concept in the Dynamic Network Flow Model to define the export throughput. For step 2, considering that the original floor plan is segmented with pixel points as a unit with high complexity and little meaning, we simplify the floor plan when the model is guaranteed to be true. For step 3, we first mark the exit node, make its dual graph, and draw the point chain containing the exit node, which can divide the original image into several pieces according to the area. Breadth-First Search from each egress node can mark themselves with color, ownership and other information. For Step 4, in order to get the optimal segmentation which satisfies the definition of reasonable segmentation edge set, we use Genetic Algorithm to solve the optimization problem. A sequence consisting of the sequence numbers in the set of Edge-Cut is encoded as a gene in the Genetic Algorithm and iterated by the Theory of Chromosome Cross-Variation to obtain an optimal solution. Finally, we have designed a scientific and complete emergency evacuation plan.
Study on the Establishment and Optimization of Sandcastle Infrastructure Model
Authors: Han Zhixuan , Gao Yuqiu , Ren Shuyu , Chen Depin 
Published: September 2020

Abstract
Sand castle was created by the tourists on the beach for fun, then how to set up a stable sand castle under the condition of waves and tidal waves to get the honor of “sandcastles builder” has been their main concern. In this paper, considering the formation principle of sandcastle and the effect of the uncertain factors and the effect on the stability of the sand castle, the sandcastle infrastructure model is established and the 3D geometric model of the sand pile is optimized step by step. We start with sand heap discretization, the impact process of waves and tides is regarded as the external force acting on the sand, and the stress analysis shows that there are three kinds of stress conditions: no external force, one external force and two external forces. Then from the point to surface, the stress energy of the whole layer of sand is analyzed according to the two aspects of energy transfer dissipation and internal force failure dissipation. The optimal bearing capacity plane is approximately pentagon by annealing algorithm. Finally, from the surface to the solid, taking the self-weight of the sand pile, the effective external force action and the seawater erosion action as the constraint conditions, the optimal tilt angle of the plane stack is calculated to be 36.87° by measuring the risk degree of the overlaying slope Angle. Therefore, the oblique pentagonal body with an inclination angle of 36.87° is relatively stable.
Application of artificial intelligence in data processing
Authors: Jiang Xingnan , Wang Yueying , Deng Bowen 
Published: September 2020

Abstract
Aiming at the problems of large scale, variety and difficulty in data analysis, a fuzzy neural network algorithm based on artificial intelligence technology is proposed to analyze and process data. This algorithm combines the learning characteristics of the neural network and the fault-tolerant advantages of the fuzzy system, uses k-man’s algorithm to cluster the sample input space, generates the membership matrix, and uses the neural network algorithm to train the data, and finally completes the target output. The analysis results can meet the existing engineering application requirements. The research content of this paper is of great significance to improve the utilization level of power engineering data and engineering management ability.
Application of neural network based on self-organizing incremental learning in anti-interference
Authors: Hu Shaodong , Wu Xuechen , Xue Bo 
Published: September 2020

Abstract
In view of the shortcomings of traditional neural network in the actual information fusion process, a data anti-interference method based on self-organizing incremental learning neural network is proposed, which is used to cluster and represent the dynamic input data online without prior knowledge. In this paper, the neuron distribution, dynamic node adjustment, topology representation and denoising process of the network are described in detail. Finally, the multi-source heterogeneous data collected by the sensor can be self-adaptive dimensionality reduction and self-organization learning. At the same time, it has strong robustness to noise data, so that it can continuously learn new patterns in data flow. SOINN model is suitable for supervised learning, associative memory, pattern-based reasoning, manifold learning and other learning scenarios. It can also be extended to the application fields of unbalanced, highly complex and nonlinear big data prediction.
Case-based Analysis of Discrimination in Police Surveillance Scene Regarding Facial Recog
Authors: Chen Tingyao 
Published: September 2020

Abstract
The application of facial recognition technology in police surveillance scene is justified, but itwill result in discrimination. In this paper, the first case of facial recognition in the world, R (Bridges) v Chief Constable of South Wales Police, is taken as the starting point, and the problems of algorithmic discrimination and indirect discrimination reflected in this case are discussed while analyzing the case, and the author will predict what kind of method the plaintiff may take in the appeal.
Data-parallel clustering algorithm based on mutual information mining of joint condition
Authors: Huang Changjiang 
Published: September 2020

Abstract
In order to improve the reliability service ability of the cloud storage database, the data parallel clustering process is carried out, and the data parallel clustering algorithm based on the mutual information mining of the joint condition is proposed. a large data configuration structure model of a cloud environment virtual resource is constructed, data compression and characteristic reconstruction are carried out by adopting an online dictionary learning method, a regression analysis of the cloud environment virtual resource configuration data and a point cloud structure recombination are carried out in combination with a non-linear statistical sequence analysis method, the parallel characteristic scheduling of the large data of the virtual resources of the cloud environment is realized, the mutual information feature quantity of the joint condition is mined, the characteristic quantity of the mining is subjected to the characteristic filtering and the attribute set merging processing by adopting the fuzzy C-means clustering algorithm, by using the self-adaptive optimization algorithm, the automatic retrieval of the fuzzy clustering center is carried out, and the parallel clustering optimization of the large data is realized. The simulation results show that the classification performance of the large data clustering of the cloud environment virtual resources is good, the property classification and fusion capability is high, and the error rate is lower.
Study on the preparation technology of Sanqi Shangyao smeared films for percutaneous absorption
Authors: Liu Shi jun , Zhang Pan , Tang Zhi shu , Zhang Yu , Sun Jing , Song Zhong xing , Cui Chun li , Liu Hong bo , Xu Hong bo 
Published: September 2020

Abstract
Objective: The dosage form of Sanqi Shangyao tablets was reformed and made smeared films. Methods: PVA-124 was used as film forming material, glycerol as plasticizer, Twain 80 as surfactant and azone as penetration enhancer. On the basis of the single factor test, the orthogonal test L9 (34) was used to screen the matrix prescription, and the optimum matrix ratio was obtained by investigating the fluidity, color, flexibility, film forming time and the appearance uniformity of the coating agent. Results: The best substrate ratio was Twain 80 0.5 g, PVA-124 4.0 g, glycerol 2.0 g, azone 0.3 g. Conclusion: The proportion of the smeared films prepared by orthogonal test is stable. The film forming time is short, and the preparation process is simple and feasible.
Acoustic target recognition algorithm based on particle swarm neural network
Authors: Liu Yalei , Gu Xiaohui 
Published: September 2020

Abstract
In order to improve the automatic recognition rate of acoustic targets, this paper conducts research on acoustic target recognition algorithms based on particle swarm neural network. Firstly, the mathematical description of the particle swarm optimization algorithm is described, and the initial parameters and algorithm flow of the particle swarm optimization algorithm in the experiments in this paper are given. Second, the design includes the central processor, power supply, signal conditioner, filter, trigger circuit, and state. Acoustic target recognition prototypes of display circuit, memory, target type indication circuit, serial port, crystal circuit, microphone and hardware interface circuit, etc. Finally, using the collected acoustic signals of tanks and helicopters, a semi-physical simulation experiment was designed to carry out target recognition. Experimental research and experimental results verify the effectiveness and stability of the acoustic target recognition system in this paper.
Design and Research on Temperature Control System of Electric Furnace Based on PLC Touch Screen Integrated Machine
Authors: Zhao Haiyu , Zheng Jiashuo 
Published: September 2020

Abstract
With the development of science and technology in China, temperature control system has been widely used in many fields. The emergence of PLC effectively improves the shortcomings of PID control system, optimizes the performance of PID control system, and plays a very important role in promoting industrial production and construction. In view of the design of temperature control system of heating furnace, configuration software and PLC can be used the combination of technology can achieve the goal of furnace temperature control, and it can also monitor the furnace temperature in real time and comprehensively, and then adjust the furnace temperature according to the application requirements. The investment in the process is less, which can reduce the cost to a certain extent, and also has the application advantage of high accuracy. The temperature control system of electric heating furnace is designed in this paper. PLC is mainly used, and the temperature system is controlled intelligently with touch screen. According to the actual situation and cost budget, the controller of this paper chooses Mitsubishi FX2N- 48MR series PLC. In order to achieve intelligent control, it needs to use digital PID control algorithm, which is convenient for the staff to operate Gt1040-qbbd-c series touch screen is used to realize human-computer interaction. The system can be started and stopped. The touch screen for temperature setting can be very simple to operate. The temperature change can also be visually displayed and monitored, and the whole system can be automatically set.
Electronic circuit design of stepping motor based on 51 single chip microcomputer
Authors: Jia Jianwei , Xue Bo , Wang Yimeng 
Published: September 2020

Abstract
With the development of automatic control system and the improvement of high-precision control requirements, stepping motor plays an increasingly important role in various automation equipment. The stepping motor control system designed in this paper takes STC89C51 as the core, LCM12864 as the display module, and eight independent keys as the control function keys. It realizes the start and stop state, speed and running distance, forward and backward control of the stepping motor, and adds Hall sensor to measure the speed of the stepping motor. Using SCM as the main control chip not only simplifies the hardware circuit, but also reduces the system cost. The system increases the interactive experience between people and machines, and maximizes the economic benefits, saves resources, and can be better applied to the actual daily life.
Influence of Irrigation Canal Construction on the Stability of A Natural High and Steep Slope
Authors: Guo Yanhui , He Jin 
Published: September 2020

Abstract
The excavation and construction of the irrigation canal on a high and steep slope usually change the stress state of the original slope, which may have a serious impact on the stability of the slope. Taking the construction of irrigation canal on a high and steep slope as the research background, the stability of this high and steep slope under natural condition, construction platform excavation and construction of irrigation channel is calculated by Midas GTS NX. The results show that the stability of slope is better in natural state. The excavation of the construction platform of the irrigation canal will cause a certain displacement of the original slope, but will not affect the overall stability of the slope. With the construction of the irrigation canal, the displacement of the slope increases a lot, and the stability of the slope decreases significantly.
A Comparison of Ride Performance of Hydro-Pneumatic Suspension System with Those of Rubber and Leaf Suspension Systems
Authors: Longa Le Xuan , Quynh Le Van , Liemb Nguyen Van , Cuong Bui Van , Tand Hoang Anh 
Published: September 2020

Abstract
The objectives of this study is to compare the performance of the hydro-pneumatic suspension system of heavy truck on cab ride comfort with rubber and leaf springs of suspension systems. To compare the three types of suspension systems, a three-dimensional dynamic model of heavy truck with 15 degrees of freedom (DOF) is established based on Zhou Changfeng model under random excitation of road surface for simulation and analysis. The root mean square (r. m. s) acceleration of the vertical cabin, pitch angle, and roll angle of cabin is chosen as objective functions. Matlab/Simulink software is used to simulate and calculate the values of objective functions. The ride performance of the hydro-pneumatic suspension system on vehicle is analyze and compared to two other supension systems when vehicle operates under different operating conditions. The results show that the values of objective functions with the hydro-pneumatic suspension system are significantly reduced in comparison with the rubber and leaf suspension system. The ride performance of Hydro-pneumatic suspension system is much better than that of the rubber and leaf suspension systems.
Status and Development Trend of Active Sub-arrays Structure Design in Active Phased Array Antenna
Authors: Xiao Rui , Jianga Shouli , Zhongb Jianfeng 
Published: September 2020

Abstract
Active sub-arrays structure design is an important part of phased array radar design. The basic architecture and composition are introduced, especially the different between brick, tile and chip sub-arrays are discussed. Integrated design of radiating unit and sub-array, intelligent health detection system and electromagnetic compatibility, microelectronics and topology optimization design, application of new materials, which considered to be four key technologies, are also pointed out.
Health Management Information System Based On Regression Analysis
Authors: Wang Dong , Chen Xiujuan , Wei Honghe 
Published: September 2020

Abstract
With the improvement of living standard, people’s demand for health is increasing. However, the rapid pace of urban life makes it difficult for most people to stop and pay close attention to their bodies. Even after the hospital examination, it is difficult to achieve stable follow-up and health judgment. On the basis of regression analysis of data, an open source mobile terminal Android platform is used to design a health management information system (APP), which can realize the information sharing between residents and hospitals. The system allows people to know their physical condition instantly, and hospitals can track and advise users.
Research on Design and Application based on Bridge Inspection and Maintenance Scheme
Authors: Tan Lingye , Zhang Ziyang , Wang Xin 
Published: September 2020

Abstract
Under the background of the rapid economic and social progress and development of the market economy in China, the cause of traffic construction has also been built and carried out like a raging fire. there is also a direct relationship between traffic engineering construction and the rapid development of science and technology and the national economy, which plays important technical support and driving role in the development of social and national scientific and technological and economic traffic engineering construction. Under the background of the current market economy with the rapid development of science and technology and the economy, a large number of large-scale bridge designs and buildings have been put into use and obtained the latest bridge scientific detection technology. in the process of bridge construction, the structural complexity of the detection technology and the span of the bridge have been improved to a great extent. This paper mainly discusses the bridge detection technology, specific maintenance, and bridge reinforcement technology in the process of design and construction of all kinds of large bridges, and makes a technical analysis on the maintenance life of all kinds of large bridges, to increase the safety and maintenance life of all kinds of large bridges and promote the realization of their greater economic and social benefits and value at the same time.
Research on rainfall infiltration law and slope stability analysis
Authors: Li Ang , Meng Lingbo 
Published: September 2020

Abstract
Rainfall is an important factor leading to slope landslide. Aiming at the problem of slope stability under rainfall, this paper uses the unsaturated seepage theory to dynamically describe the rainfall infiltration effect, and analyzes the distribution characteristics of pore water pressure of slope soil and the change law of slope water level under the action of rainfall, at the same time, deeply analyzes the law of slope stability changes based on strength reduction algorithm. The results show that: with the passage of rainfall time and the increase of rainfall intensity, the slope infiltration depth gradually increased. At the same time, rainfall increased the groundwater level in the slope, and leaded to increased pore water pressure in the slope soil, and the transient saturation zone gradually formed and expanded, and finally leaded to a significant reduction in slope stability coefficient.