bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of the Color of Mango Puree (Mangifera Indica) Creole Variety of Chulucanas Influenced by the Size of the Refined Pulp and Interaction Time to Environmental Air
Authors: Hernandez Ernesto , Sôcola Zury , Choque Tania , Hernandez Miguel
Published: March 2021

In order to determine the values of the dependent variable called “Color of the mango puree”, first the peel and the seed must be extracted by pulping and secondly refined again on a fine mesh sieve to obtain the puree. Five mesh sizes were evaluated from the first independent variable called “Sieve size” and corresponding to the second independent variable “Interaction time” ten different times were evaluated every 15 minutes from zero minute to 135 minutes. As for the dependent variable, the Hunter Lab coordinates were evaluated, using a Minolta CR-400 colorimeter, with three levels of the variable, which are the brightness, the a-coordinate a (a+: yellow/a-: blue), and the b-coordinate (b+: red/b-: green). As far as the results of the colour coordinates are concerned, during refined pulping for the same time, predominantly the smaller the hole size (larger mesh size) the lower the values for luminosity and the b-coordinate (b+) will be obtained: yellow colour; whereas as the interaction time increases from 0 minutes (freshly refined) to 135 minutes (final interaction time), predominantly lower values will be obtained for both brightness and b-coordinate, and there is no marked difference to the a-coordinate values (a+: red colour).
Parallel Dynamic Domain Decomposition in Space - Time for Data Assimilation problems
Authors: D’Amore L , Cacciapuoti R
Published: March 2021

In the present work we employ a load balancing scheme involving an adaptive and dynamic workload redistribution both along Space and Time directions for solving Data Assimilation problems where the observations are non-uniformly distributed, general sparse and its distribution changes during the time. We will consider the Constrained Least Square model (CLS) as prototype of Data Assimilation problems and we will validate the proposed approach on different configurations. Validation is performed using Parallel Computing Toolbox of MATLABR2013a on high performance hybrid computing architecture.
Strategic Forecasting of Multimodal Container Traffic Basing on Transport and Economic Balance of the Russian Federation
Authors: Evseev Oleg , Tulenev Kirill , Kagan Dmitry , Kryazhev Andrey , Murashov Vasily , Zaboev Alexander , Zemtsov Anton , Buslov Victor , Shubin Anton , Shubin Alexander , Urazov Anton , Anikina Elena
Published: March 2021

International cargo containerization system continues progressive development supporting increase of multimodal transport traffic. Containerized commodity transportation schemes are highly efficient for majority of transcontinental and long-distance deliveries optimizing costs, time and quality of transport operations basing on exact forecasting of container turnover. Following these headline routes, research article represents actual methodology of forecasting cargo volumes in accordance with Big Data stated in Transport and Economic Balance of the Russian Federation (TEB), as per spatial input-output predictions of freight traffic between regions of the country by rail, road, inland water and maritime transport by types of commodities. Expanding transportation network is linked to the core freight multimodal transport and logistics centers (TLC), connected with 12 transport hubs having strategic value for Russian economics. Represented research algorithms consider cargo base for 12 TLCs in backbone network subject to types of commodities, growth production and consumption, import and export balance in the strategic timelines of 2024 and 2035. Methodology of forecasting container traffic balance across the country is based on coefficients of container demand for each category of cargo as well as transport modes and transportation schemes. Container traffic forecast indicated by scenarios of TEB model reflect strategy of development and optimization for the freight flows in TLC network. These information models, due to their complex structure and rich semantics, are more likely to belong to the class of models based on knowledge, than on data, that requires further improvement of forecasting methods using intelligent processing of Big Knowledge-Based models.
Automated Ontology Population and Enrichment of Scientific Publications
Authors: Bravo Maricela , Aldea Arantza , Hoyos-Reyes Luis F.
Published: March 2021

Scientific publications are the most important resources available to the research communities. Researchers want their work to be widely recognized and available and also need powerful search engines to identify other publications and researchers working in the same area. Therefore, a good representation and organization of scientific products is crucial for an accurate retrieval of information. This paper describes an approach for automated population and semantic enrichment of an ontology model that represents scientific publications. Specifically, the type of enrichment used in this approach consists of implementing semantic similarity measurements between publications. Several experiments were performed to identify the best similarity measurement, using a statistical approach and the precision of the measurements.
The Study of Heat Conduction in Functionally Graded Plate Based on Hybrid Numerical Method Loading by Linear Heat Source
Authors: Tian J H , Jing G Q , Ding F , Hu G C
Published: March 2021

In this paper, a physical model of functionally graded materials (FGM) with a linear change of volume fraction of ceramic and metal in its thickness direction is established. The thermal conductivity of the FGM under a linear heat source is studied by a hybrid numerical method. Based on the weighted residual method, the heat conduction equation under a third boundary condition is studied using a hybrid numerical method which takes into account both the accuracy of the analytical method and the efficiency of the finite element method. A linear heat source is applied to the FGM, the temperature of the heat source changes linearly with time, and the temperature distribution in the space-time domain is obtained by finite element discretization in one direction and Fourier transform in the other. The results show that the closer to the heat source, the greater influence of the heat source it is. The influence of the heat source is local, which is similar to the influence of the force field on structure described by Saint Venant theory. In the heat transfer process, the heat transfer efficiency of each surface is different, that is closely related to the material properties. Using this proposed physical model, it is demonstrated that FGM can avoid the sudden change of temperature and relieve the thermal stress.
Research on Trajectory Tracking Control Method of Omnidirectional Moving Platform Based on Backstepping
Authors: Wen Boyu , Gao Zhenqing , Gao Baolei , Qin Zhimin , Du Yanping , Li Hongfeng
Published: March 2021

According to the relevant theoretical methods of omnidirectional mobile mechanism, the kinematic model of omnidirectional mobile platform under theoretical conditions is established, and the dynamic model of omnidirectional mobile mechanism in actual environment is analyzed according to the specific situation of platform body structure and actual influencing factors. Based on the kinematic model, a backstepping based trajectory tracking control method for omnidirectional mobile platform is designed, and the trajectory tracking error equation is solved. In order to further improve the stability of the system, a fuzzy control system based on backstepping method is designed based on the dynamic model, and the control torque of the platform is selected. Finally, the effectiveness of this method is verified by numerical simulation.
Varying control intensity of synchronized chaotic system with time delay
Authors: Onasanya Babatunde O. , Wen Shiping , Feng Yuming , Zhang Wei , Tang Ning , Ademola Adeleke T.
Published: March 2021

Hyperchaotic system is a very useful tool in secure and encrypted communications. But situations arise when engineers and scientists seek to synchronize two hyperchaotic systems. This gives another (error) system. The goal is to minimize the error as much as can be in order to make one system look like the other by synchronization. This is a particularly challenging situation. In this paper, two hyperchaotic systems are synchronized by impulsive control. Also, the condition for uniform asymptotic stability of the synchronized error system was given. Finally, the simulation results to justify the reliability of this method is also presented.
Co-attention Spatial Reasoning for Visual Question Answering
Authors: Qin Ye , Zhou Zhiping , Biao Chen , Wenjie Li
Published: March 2021

Visual question answering (VQA) requires both inferring and providing correct answers based on the semantics of the question and the content of the image. We propose a co-attention spatial reasoning model, it models the co-attention, and spatial reasoning attention for the VQA task. The model maps the question text information to image region to reason the fusion features, which contain fine-grained semantic information of two models. Meanwhile, it can obtain the spatial relationship between question words and image regions. The model was trained and verified on the VQA-v2 dataset, the best single model achieves an accuracy rate of 69.55% on the test-dev set.
Model of Normal University Students’ Education Quality Based on Artificial Neural Networks
Authors: Wang Shaofeng , He Yue , Lin Haitao
Published: March 2021

As a main form of checking out learning and teaching effects, exam has traditionally been used in schools. Accurate and objective assessment of students’ learning effects through examination performance is an important part of evaluation of students’ education. This paper proposes a comprehensive evaluation model of evaluating examination performance based on quality of examination paper, explores the application of artificial neural network technology in students’ comprehensive education evaluation, focusing on BP neural network, some works can also be introduced by Python. The process is to compose input vector of BP neural network using the four evaluating indicators of quality of examination paper, namely reliability, validity, difficulty and discrimination, and raw score, namely the students’ score of examination paper. Take valuation namely the quantitative value of learning effect as the output vector of BP neural network. Design a reasonable network structure and training sample, put the training sample in the network for processing till until systematic error meets the specified requirements. By so, the obtained network model is the required comprehensive evaluation model of examination performance. At last, the paper analyzes the simulation of the evaluating model’s feasibility using MATLAB software, obtains satisfying results, and proves the feasibility of the proposed network model.
A Calibration Approach to Solve Inconsistency Problem in Palmprint Acquisition System
Authors: Zhang Kunai , Guo Zhenhua
Published: March 2021

Inconsistency among different acquisition devices severely affects the performance of palmprint recognition systems. When the same palm is enrolled by one capture device and verified by another device, the inconsistency between the two devices may lead to recognition failure. The installation of camera and the setting of lighting are two main reasons for inconsistency problem in palmprint recognition systems. In this article, we proposed a calibration approach for the inconsistency problem regarding palmprint acquisition devices. Our calibration approach includes image quality assessment, rectification and normalization. Experimental results demonstrate that the proposed approach is effective, decreasing the equal error rate (EER) of palmprint recognition from 0.653% to 0.627%.
The Control of Over-saturation at the Critical Intersection Based on the Improved SEFP Method
Authors: Shen Hui , Liu Zhigui
Published: March 2021

We have proposed the SEFP (Same Entrance Full-Pass) method in our previous research work in order to avoid the congestion at the key spot in the regional road network. The SEFP method, which can make all vehicles going to the critical intersection pass the stop-line with no stop during each release phase, reducing the vehicle delays and stops greatly. While the green time is underused in this method and the vehicle throughput at the critical intersection can be further increased. On this basis, we propose the improved SEFP method, which can formulate signal offsets control schemes at the upstream intersections by means of traffic wave theory, guaranteeing all the vehicles leave the critical intersection at saturated flow speed. In the meantime, the closure control is adopted at upstream intersections timely in light of the queuing length on the critical intersection lanes, avoiding the spill-outs effectively. This new method can improve the traffic throughput of the critical intersection while decrease the vehicle delays and stops, preventing the critical intersection from traffic over-saturation effectively. The simulation results of an actual critical intersection in Mianyang city demonstrate the validity and feasibility of the improved SEFP method.
Method for Robot Capturing Object Thrown out in Natural Wind Environment
Authors: Zheng Rui , Zhao Chuanchao , Kang Jun , Lu Zibao
Published: March 2021

It is difficult for a robot to capture object which is thrown out in the environment with natural wind. Equation of state and measurement of the object in the environment with natural wind is studied. Using the measurement equation and the state equation when there is no natural wind, the average acceleration of the object caused by natural wind can be estimated. Moreover, the variance of the object acceleration caused by natural wind can be estimated using the statistical characteristics and probability distribution of natural wind. Then a method for robot capturing the object based on Kalman filter is proposed. Simulation results show that the trajectory of the object changes obviously when two groups of typical natural wind are used. The object trajectory can be tracked by the robot accurately after it deviates from the object trajectory for about eight sampling periods.
A Monocular Vision Relative Displacement Measurement Method Based on Bundle Adjustment Optimization and Quadratic Function Correction
Authors: Ren Lei , Dong Xiucheng , Liu Dongbo , Zhang Fan
Published: March 2021

In order to meet the requirements of high-precision target displacement measurement, this paper proposed a measurement method based on monocular vision measurement system by which the advantages of simple structure, convenient debugging, easy to install and calibrate is recognized. This method first uses the bundle adjustment algorithm with conditional constraints to optimize the solution results of the orthogonal iterative algorithm, then calculates the relative poses of the optimization results, finally establishes an error correction model to perform secondary optimization on the relative poses. The experimental results show that the method proposed in this paper can reduce more than 54% average error of displacement measurement results, and the error between the final displacement measurement results and the actual displacement values is controlled at 0.4mm level, which proves that the method has good practical value.
A Model of Micro-course Evaluation Based on User Experience
Authors: Sun Yu , Yang Dongmei , Xu Jian
Published: March 2021

At present, researches on micro-course mainly focus on design, development or application, and rarely involve evaluation of micro-course, especially from the perspective of user experience. To this end, from the perspective of user experience, we developed a theoretical model of user experience evaluation of micro-course. Firstly, we introduced the concepts of user experience and micro-course. Secondly, we discussed various research methods, including literature research, expert consultation, questionnaire survey, analytic hierarchy process and other research methods. Finally, based on the above discussion, we developed the theoretical model of micro-course evaluation based on user experience, and then discussed the model in detail.
Möbius Polar Coordinate System Based on Entangled Pull Back of Contradictory Oneself and Its Topos
Authors: Feng Jiali , Feng Jingjuan
Published: March 2021

In this paper, the emergence of the contradiction oneself of object u is not only attributed to a mechanism that opposite transmission between the function x(t) that carrying the location information of u and its returned back x−1 (t−1) and is meeting at a contradiction point, but also is conversed into the questions: “How long time will be taken for the function x(t) transports from own position to v with the velocity

x
˙

(
t
)

, and return back?” It is shown that not only a pair of dual categories and their presheaft and topos can be induced by x(t) and x−1 (t−1), but also a Möbius Entangled Polar Coordinate System can be established by an entangled pull back and a dual of mirror manifolds. In this way, a framework that runs through Philosophy, Information, Mathematics, Physic, Logic to Neural Network can be constructed too.
Manipulator Massage System Based on STM32 Control
Authors: Liu Aike , Zhu Zhishan
Published: March 2021

With the computer gradually become an essential part of People’s Daily life. Long periods of sitting can lead to headaches, dizziness and cervical discomfort. In this paper, a manipulator massage system based on STM32F103 chip is designed to promote the intellectualization and automation of human cervical vertebra massage. Based on the study of human neck and shoulder massage points and massage techniques, the mechanical structure of the manipulator is designed, and SolidWorks is used to design the 3D model.
Nonsingular Terminal Sliding Mode Control for Flexible Spacecraft Attitude Control
Authors: Gu Chengsi , Qu Weidong
Published: March 2021

In this paper, a nonsingular terminal sliding mode control method is applied to design an attitude control law for flexible spacecraft. First, the Lagrange method is applied to establish the dynamic equation of the flexible spacecraft and the vibration equation of the flexible appendages. Then, by designing a nonlinear terminal sliding surface function, the spacecraft terminal sliding mode control law is designed. In order to solve the singular problem, a nonsingular terminal sliding mode control law is further designed. At the same time, the saturation function is introduced to replace the sign function to suppress chattering problem of flexible appendages. The Lyapunov method is used to prove that the involved nonsingular terminal sliding mode control law can realize the precise attitude control of the flexible spacecraft. Finally, a numerical simulation example verifies the effectiveness of the control law designed in this paper.
Construction of Gaussian Integer Periodic Complementary Sequence Set with Zero Correlation Zone
Authors: Liu Kai , Ni Jia
Published: March 2021

Based on aperiodic complementary sequence (ACS) sets and orthogonal matrices, the construction of Gaussian integer (GI) zero correlation zone (ZCZ) periodic complementary sequence (ZPCS) sets is proposed. The constructed GI ZPCS sets can achieve the theoretical bound, and the length of ZCZ can be chosen flexibly. The GI ZPCS sets obtained by this paper can be used in multi-carrier code division multiple access system to obtain higher spectrum efficiency and eliminate interference.
Missense Variants in Human ACE2 May Influence its Binding Interaction with SARS-CoV-2 and Infectivity of COVID-19
Authors: Ge Fang , Muhammad Arif
Published: March 2021

The recent pandemic of COVID-19 is reported as a pandemic and spreads globally. As known, COVID-19 is caused by SARS-CoV-2 and human ACE2 has been reported as the receptor of SARS-CoV-2. Nowadays, as reported, variants in the coronavirus can lead to the transmission across species, in turn, variants of ACE2 may affect the susceptibility of SARS-CoV-2. In this work, we collected and selected critical missense variants in ACE2. Thereafter, we predicted the changes of protein-protein binding affinity, corresponding to each missense variant. According to the results, thirteen variants in human ACE2 exhibit obvious differences. More specifically, six variants (D38E, M82I, Y83F, K353H, R357A, and R357S) in ACE2 are predicted to enhance its interaction with the coronavirus spike protein. In comparison, seven variants (S19P, K31D, Y41A, M82N, M82T, D355A, and D355N) are predicted to inhibit such kind interaction. Accordingly, the final findings of our work may provide evidence that the potential relationship between COVID-19 susceptibility and human ACE2 genetic variants.
Energy Efficient Routing Algorithm Based on Harmony Search
Authors: Liu Yang , Liu Xiaoyu , Liu Chengchang , Liu Minghui , Cheng Qi , Yu Xin
Published: March 2021

Under the premise of limited node energy, an efficient and energy-saving wireless sensor network routing algorithm was proposed to prolong the lifetime of overall network. By analysing the operation pattern of wireless sensor network, the energy model and transmission model was introduced, and BTPHS algorithm based on the above two was proposed. BTPHS algorithm divided the network lifetime into 3 periods. According to the characteristics of the energy distribution and energy consumption in different periods of the network, two new node selection strategies were proposed and a new objective function as a reference standard was provided. The adjustment process of the HS algorithm is abandoned, which makes less parameters in proposed routing algorithm. The experiment results indicate that BTPHS algorithm can prolong the lifetime of overall WSN network effectively.
Investigation of Farmland Soil and Wheat Heavy Metal Contamination Character in Jinding of Lanping
Authors: Zou Liling , Li Changsheng , Lang Xuewei
Published: March 2021

The contents of Cd and Pb in soil and wheat in Jinding of Lanping in Yunnan were investigated and sampled. And single pollution index method, comprehensive pollution index method and correlation analysis were used to evaluate heavy metal contamination in wheat and soil. Zone A is in the upper reaches of the Pijiang River, and the zone does not contain large mines, where soil in the farmland is not polluted by the heavy metals Cd and Pb. The soil in zone B is slightly polluted by Cd and Pb, and the over-standard rate of the Cd of the samples measured is 75%, and the over-standard rate of the Pb of the soil is 25%. The condition of soil polluted by two heavy metals is Cd > Pb, and the heavy metal pollution of the soil in this Zone is mainly affected by mining activities. Zone C is in the lower reaches of the Pijiang River, and the soil in Zone C is not polluted by Cd and Pb. The content of Cd and Pb in the wheat in Zone A reached the standard and was not polluted. The wheat in Zone B was not polluted by Cd and Pb. Although Cd and Pb in the soil in this Zone was over-standard, it could be concluded that Cd and Pb in the soil did not migrate to wheat. The wheat in Zone C was not contaminated by Cd and Pb.
Tectonic Characteristics and Geological Significance of Joints on the Southwest Bank of Yangzonghai Lake
Authors: Huang Qinhui , Wang Jing
Published: March 2021

Affected by the movement of the Xiaojiang Fault Zone, frequent tectonic activities have occurred in the Yangzonghai Lake area, and a large number of joints have developed in the rock formations. The analysis of joints in the study area shows that there are 6 sets dominant joints, of which 4 sets are two conjugate joint systems; the analysis of stereographic projection for conjugate joints shows that the direction of the maximum principal stress indicated by the tectonic stress field in the area has a tendency to turn from NWW to NNW, which is consistent with the tectonic stress field reflected by faults and folds in the study area and and conforms to the characteristics of the tectonic stress field in the middle of the Xiaojiang Fault Zone.
Study on Energy-saving Method of Microwave Monitoring for Detecting Human Physical Body and Shielding Interference from Regular Motion Objects
Authors: Yang Zhaolin , Shao Lanyun , Liang Lihua , Zhou Mei
Published: March 2021

This paper explores a method of detecting human body by microwave that avoids the interference of regular motion. It can accurately detect the presence of human body in the presence of interference of regular moving objects, and is applied to the energy-saving control of power sockets to achieve energy-saving control. This method can also be used in water-saving control. This method solves problems related to resource waste in public buildings, especially problems in classrooms and offices in colleges and universities where there are ever-lasting lights air-conditioning and no people there other waste problems, which improves the level of scientific management, and saves a lot of energy. It can not only solve the problem of energy saving and control, but also realize the safety utilization of power of the device. According to the statistics, it can be guaranteed that there are more than 30% saving energy with low input. This method makes great contributions to environmental protection and social security. This method can be further promoted to be appiled to any control system which requires accurate human physical body detection and shielding interference from regular motion object, which will be progressively integrated into building clusters and municipal facilitie. It can also achieve data sharing, information interaction and centralized control of energy of the whole city.
Optical Classification of Coastal Water Body in China using Hyperspectral Imagery CHRIS/PROBA
Authors: Wang Qing , Zhang Zhengke , Hao Zengzhou , Liu Bingling , Xiong Jilian
Published: March 2021

Coastal saltern and aquaculture are vital components of human-made coastal areas and they have immense influence on the coastal water environment in China. Hyperspectral space-borne remote sensing is a significant technology in remote sensing, enabling in-depth identification and discrimination of the spectra from water features on shore. The study uses CHRIS/PROBA images to identify water-bodies and classify six optical water types from artificial and natural water in three sites across regions along China’s coastline. Most of the offshore waters are affected by the inflow of land source materials. The fluorescence peaks appearing at 675 nm can be observed by 5 water types. In addition to Class 1 water which is far from the shore and the Class 4 water whose signals are mainly affected by the algae at its bottom, the other 4 kinds of water show backscattering peak after 800 nm, suggesting that particles are playing an important role in coastal water. For coastal waters in Liushagang, the mangrove forest will transfer the water body signal received by the satellite into the vegetation signal; pools in coastal saltern have rather shallow water during production period when the benthic signal will seriously interfere the reflected signal. In the intertidal area, the hyperspectral characteristics in the same sample also change periodically due to the ebb and flow. The Class 2 and Class 3 water bodies alternately occur in the intertidal zone in the Lianyungang research area. Therefore, it is concluded that optical classification approaches reflect the advantages of remote sensing from Satellite-bone, and our study can be helpful and conductive for follow-up sensors.
Study on Land Use Change and Land Ecological Security in Zhoushan Archipelago
Authors: Chen Junling
Published: March 2021

The purpose of the manuscript is to evaluate the land use change and land ecological security of Zhoushan Archipelago from 1995 to 2017, and to predict the land ecological security status from 2021 to 2025 to guide the intensive and ecological use of island land. Obtain the utilization status of 6 land-use types in Zhoushan Archipelago in 1995, 2000, 2005, 2010, 2015 and 2017 by using 12-view Landsat satellite remote sensing image data, the DPSIR-EES model was used to establish index system, the weight of each index was determined by entropy method, the multi-factor comprehensive weighting method was used to calculate ecological security index. The results showed that: the area of construction land in Zhoushan Archipelago continued to increase from 1995 to 2017, mainly through the occupation of grassland/cultivated land. Grassland/ cultivated land area decreased by 22.54%, and tidal flat area decreased by 62.66%. The land ecological security index in Zhoushan Archipelago showed an increasing trend, the security level raised from unsafe level to general security level. Conclusions are that land ecological security of Zhoushan Archipelago was generally good during study period, it is necessary to deal with the relationship between island land use and ecological environment protection in the future, and realize the symbiotic linkage between island economic and social development.
Development and Application of Integrated Meteorological Observation Online Monitoring in “One Diagram”
Authors: Zhou Qinqiang , Liu Yanzhong , Ao Zhenlang , Li Jianyong
Published: March 2021

The efficient automatic and intelligent real-time monitoring means have not been fully established after the reform of unmanned ground meteorological observation automation, and the monitoring systems of various observation device are isolated from each other, which makes it impossible to efficiently take an overall view for the running and data transmission state of the ground meteorological observation stations. The integrated meteorological observation online monitoring in “one diagram” for nearly 3000 meteorological devices in 15 categories is designed. The status of software or hardware, network faults of the meteorological devices is displayed by the color code in “one diagram” and the alarm of 3D virtual model components is updated simultaneously, and displayed automatically in the “one diagram” according to the fault level. It is interactively associated with a 3D virtual visual monitoring system based on C/S with one diagram B/S page being embedded, the faults tips of automatic positioning in the 3D virtual model are directly associated and displayed from the 3D virtual visual online monitoring system, with one click on the color block of the fault station in “one diagram”. So “macro-level” monitoring from “one diagram” device layout, category, fault number, and alarm status to “micro-level” correlation of virtual model fault details is established, by which what you think is what you see, meeting the demand of on-line monitoring of integrated meteorological observation stations from “one diagram” to “the whole system”.
Relationship between Lung Cancer Mortality and Haze in Yangtze River Delta of China from 1961 to 2005
Authors: Chen Kui , Guo Qinghao , Chen Guangxin
Published: March 2021

Since the reform and opening up in China, the occurrence frequency of hazy phenomena have yearly increased, particularly in the urban agglomeration such as the Yangtze River Delta (YRD), Beijing-Tianjin Area, and the Pearl River Delta Area. The exposure to extremely poor ambient air quality might result in harmful influence on human health, such as respiratory system and cardiovascular diseases and deterioration in lung function. Here, we selected a typical area of the Yangtze River Delta (Nanjing city for case). We statistically analyze 45-year historical surface observations data of haze in Nangjing city, Southeastern China to study the relationship between lung cancer mortality and haze. The results showed that the dramatic increasing trend of annual occurrence of hazy days between 1961 and 2005, and then the relative incidence of lung cancer increased.
Remote Sensing of Spatial-Temporal Distribution of Suspended Sediment Concentrationin East Dongting Lake, China
Authors: Ou Mingwu , Chen Xi , Zhou Junjie , Li Ying
Published: March 2021

Three Landsat 8 OLI scenes acquired from 2016 to 2017 were used to estimate the suspended sediment concentration (SSC) in East Dongting Lake, China. The results show that SSC in East Dongting Lake is generally low, only the SSC of sediment transport channel connecting South Dongting Lake is significantly high, and that in the west of the lake is relatively small. From 2016 to 2017, the average SSC in the eastern channel was33-120 mg/L, the average SSC in the north branch of the west area was15-43 mg/L, and the average SSC in the south branchof the west area was17-46 mg/L. Under the influence of the dilute water of the Yangtze River in flood season, the overall SSC in the lake area is lower than that in non-flood season, and the average SSCis within 40 mg/L. The variation law of SSC in lake area revealed by remote sensing is consistent with the measured data, which verifies the feasibility of this method and provides a new perspective for dynamic tracking and mastering the distribution law and variation trend of suspended sediment in East Dongting Lake.
An Intelligent Site Environment Survey System Platform Based on ‘Internet + Database’
Authors: Zhi Yanli , Xi Weili , Bi Tao , Li Chao
Published: March 2021

Intelligent environment survey system platform integrates Internet, database, geographic information system and other technologies, including PC side web page and mobile side APP. The platform is applied to the site environmental survey and monitoring practice, assisting the site environmental survey and monitoring work, solving the problems of site monitoring and survey data management difficulty, high cost, low efficiency, standardization of work procedures and content, low degree of automation, and improving the site survey work efficiency and quality.
Analysis of Impact Factors for Flood Early Warning, a Case Study in Wangjiaba Basin of Huai River
Authors: Hu Youbing , Xu Shijing , Liang Shuxian , Wang Kai , Chen Hongyu , Kan Guangyuan
Published: March 2021

Wangjiaba station locates in the junction of the middle reach and upstream of the Huai River. Due to its specific location, the hydrological conditions of the Wangjiaba station can be treated as important indicators for flood forecasting and disaster controlling in the Huai River basin. In this study, 62 flood events, with peak flows exceed the warning water level of the Wangjiaba station over the past 60 years, are selected. On the basis of quantitatively analysis of the watershed status variables and flood forecasting input data, three easily available impact factors including rainfall, initial water level, and rainfall distribution were chosen as flood warning indexes in the Wangjiaba station. Analysis results show that rainfall is the most important factor for flood generation. After that, by introducing the initial water level as additional factor, the positive correlation between the peak flow and the impact factors becomes more significant. At last, with the addition of the rainfall distribution as one more factor, the peak flow forecasting accuracy can be further improved.
Analysis on Calculation Methods and Influence Factors of Bankfull Discharge
Authors: Chen Sihan , Liu Ya , Lu Jinyou , Yao Qiming
Published: March 2021

Rivers are constantly changing under the combined influence of nature and human activities. When exploring the evolution law and morphological characteristics of natural rivers, scholars at home and abroad have introduced many characteristic parameters for quantitative analysis, and the bankfull discharge has always been an important index in the study of riverbed evolution. This paper compares the different calculation methods of bankfull discharge and analyzes the influence factors that lead to the fluctuation of bankfull discharge, and draws two conclusions. On the one hand, in the future, when optimizing and improving the method of calculating bankfull discharge, two points can be mainly grasped: reducing subjective error and improving accuracy. On the other hand, there are many factors that affect the flow of the bankfull discharge, so the accuracy and effectiveness of the basic parameters must be paid attention to in the determination.
Hydrochemical Characteristics and Water Quality Evaluation in Chaoyang District, Beijing
Authors: Luo Zhuoran , Liu Jiahong , Zhang Yongxiang , Shao Weiwei , Jia Ruitao
Published: March 2021

In this study, we used groundwater quality data from 17 sampling sites in Chaoyang District of Beijing, which was measured to analysis hydrochemical characteristics and water quality evaluation combined with Shukarev classification, single factor evaluation method, comprehensive evaluation method and fuzzy comprehensive evaluation method in different seasons in 2018. The results showed that there was little difference in chemical composition and groundwater quality in different seasons. The groundwater ions were mainly HCO3-, Ca2+, and Mg2+ in the western region, and the salinity of water was low. Na+ and Cl- appeared in the southwestern and eastern region, and the concentration of Na+ in May was lower than that in September. Although the single index evaluation method was one-sided, it could determine the main pollutants. Although the comprehensive evaluation method could reflect the water quality status, it greatly highlighted the pollution factors and overestimated the degree of water quality exceeding the standard to some extent. The fuzzy comprehensive evaluation method considered the weight of participating factors, which made the evaluation results more objective and reasonable. The four parameters of TH, Fe3+, NH4+-N and As3+ exceeded the standard, but they generally met the drinking water quality standard.
Application Research of Maintenance and Reinforcement Technology for Arch Bridge Foundation
Authors: Deng Jie , Peng Keke
Published: March 2021

In order to study the application of maintenance and reinforcement technology for arch bridge foundation, taking a reinforced concrete half-through arch bridge and a rigid frame arch bridges as examples, the appearance inspection and disease analysis of the bridge piers and pile foundations were carried out. Based on the modified theoretical calculation model, the analysis method of diseases and the maintenance and reinforcement technology were proposed. The method of the pier section enlargement and adding pile is adopted to strengthen the arch bridge foundation. The results show that according to the modified theoretical calculation model, the actual diseases including the distribution area of cracks and degradation degree are in good agreement with the theoretical calculation results. The reinforcement design of section enlargement and adding pile can provide a reference for the reinforcement of similar arch bridges.
Research on the Protection and Inheritance of Traditional Villages from the Perspective of Cultural Genes—Take Wuhan Dayu Bay Historical and Cultural Village as an Example
Authors: Zhang Zhiqi , Xu Hong , Xu Miao
Published: March 2021

Traditional villages, as an important bearer of traditional culture, are the foundation for the survival and reproduction of traditional culture, but with the impact of rapid urbanization and the rapid development of information, the cultural protection and inheritance of traditional villages are facing a huge impact. This paper takes Dayu Bay as the research object, from the point of perspective of cultural genes, systematically sorts out the cultural elements of Dayu Bay, constructs a genealogy of Dayu Bay's cultural genes, classifies and analyzes its material and immaterial cultural genes, analyzes the problems exposed in its protection and inheritance by sorting out the cultural genes, builds a system of traditional village cultural genes protection and inheritance, and explores feasible protection and inheritance paths.
Research on Testing Methods of Temperature Strain and Force Strain under Extreme Temperature Environment
Authors: Tanguy Axel , Li Yang , Tan Mengxi
Published: March 2021

The traditional quartz differential method and the half-bridge connection temperature compensation test method are improved to realize the effective separation of the physical deformation of the material caused by the temperature effect and the deformation caused by the load under the coupling effect of temperature and load, so as to be the thermal expansion coefficient of the material at extreme temperatures And provide the basis for the test and determination of mechanical performance parameters.
Aggregate Weight Prediction Based on Two-dimensional Image Feature Extraction
Authors: Pei Lili , Yu Ting , Yuan Haochen , Li Wei , Li Yuxuan , Hao Xueli
Published: March 2021

The weight of aggregates of different particle sizes is vital for the online monitoring of the gradation of asphalt mixtures. In order to complete the online intelligent detection of asphalt aggregate gradation, an automatic coarse aggregate weight prediction algorithm based on the feature extraction of aggregate two-dimensional images is proposed. First, use OpenCV to extract the two-dimensional morphological features of coarse aggregate and use high precision electronic gram scale to obtain the actual weight of the aggregate. Then analyze the correlation between these characteristics and aggregate weight. Finally, the weight of coarse aggregate particles can be accurately predicted by establishing a BPNN (Back-Propagation Neural Network) model. The results show that the weight prediction accuracy of coarse aggregate can be achieved 89.49%. The manual weighing process is reduced, which greatly improves the efficiency of online intelligent detection.
Study on Nondestructive Testing and Evaluation Technology for Service Performance of Existing Bridge Pile
Authors: Ren Dong , Huang Conghua , Song Xing , Chen Hao , Peng Yuanpeng , Yang Jun , Sun Xiaoli
Published: March 2021

For existing bridge piles where the superstructure has been built, traditional pile test methods are difficult to apply. In this paper, a nondestructive testing and evaluation technology for service performance of existing pile is put forward. Based on a reinforcement case of existing municipal bridge, the nondestructive method (parallel seismic wave method) is applied to detect pile defects and bearing capacities. In the field test, two excitation types are compared to acquire better stress wave signal quality. The result shows that the length and structural defects of piles can be detected by the parallel seismic wave method. The vertical excitation at bridge superstructure is more conducive to strengthen the first arrival wave characteristics. And the bearing capacity of existing piles can be further estimated based on the soil stratum conditions revealed by the test boreholes and the given survey parameters.
Research on the Design of Community Activity Center in Urban Historic Conservation Areas: Take Tan Hualin as an Example
Authors: Liu Yujun , Xu Hong
Published: March 2021

With the rapid development and expansion of the city and the gradual aging of the population, there are many problems in the management of the urban historic conservation areas, and their protection and renewal are beginning to attract the public’s attention. This paper takes Tan Hualin urban historic conservation areas in Wuhan as an example, through the preliminary investigation and data collection of Tan Hualin, based on its architectural and cultural characteristics, historical context and residents’ needs, to build a community activity center in the urban historic conservation areas.
A Vector Ionospheric Delay Correction Method for GNSS Positioning and Navigation Wide Area Augmentation Service
Authors: Li Qi , Li Zhenhai , Zhang Jing , Cao Xiaochun , Ma Yinhu , Wan Qingtao
Published: March 2021

A new ionospheric delay correction method is proposed to improve the ionospheric correction accuracy of single frequency GNSS users. In the new method, the ionospheric grid point information is expanded from a single scalar vertical correction parameter to a vector of triple elements (the triple): vertical correction parameter, north correction parameter and east correction parameter. The new parameters are used to describe the variation of ionospheric delay correction caused by satellite azimuth. Using the observation data of the ground monitoring stations to fit the triple, and then broadcast the triple to the user. GNSS single frequency users can use the triple data to correct their own ionospheric delay. The testing results show that the correction error of the method is around 0.3 m lower than that of the scalar method.
New functional materials for creating infrastructure facilities in the Arctic and Far North regions
Authors: Lesovik Valery , Puchka Oleg , Bessmertny Vasiliy , Kozlenko Bogdan
Published: March 2021

The article presents aspects of the production of new functional building materials based on foam glass, reproducing the geological processes of formation of natural minerals and rocks. The creation of heat-insulating and structural glass composites (TCS) with increased strength requires the development of a new theoretical base that allows one to design various composites with an amorphous-crystal structure, which forms the specified properties. Two methods of amorphous matrix reinforcement are considered: physical and chemical (or thermochemical). Regularities of formation of porous glass composites are established. The values of technological parameters that are necessary for obtaining glass composites with the specified properties are determined. It is shown that the developed materials can be used for the construction of unique structures with reduced heat transfer. The resulting materials can be used to produce light prefabricated segments, which is important for transportation and installation in the Northern regions.
Granulated activated carbon production based on petroleum coke
Authors: Strelkov Vasiliy , Shirkunov Anton , Ryabov Valeriy , Chuchalina Anna
Published: March 2021

The current tendency of the world oil refining towards a decrease in the fuel oil production and raise petroleum refinery efficiency is expressed in a significant increase of the delayed coking units capacity. This approach leads to an increase in the production of low-quality sulphurous petroleum coke, which is difficult to use for the production of electrodes, which makes it necessary to search for new ways of using this product. Present study considers the production possibility of granulated activated carbon based on anode-grade petroleum coke and petroleum coke with an increased content of volatiles. The experimental part of the work included the study of the effect of petroleum coke carbonization and water vapor activation conditions on the properties of the obtained activated carbon, such as BET surface area, t-plot external area and micropore volume. It is shown that the optimal thermal treatment parameters of petroleum coke for granulated activated carbon production is carbonization at a temperature of 7000C, followed by subsequent activation in water vapor atmosphere at a temperature of 8000C. This approach makes possible to obtain sorbents with a BET surface area reaching 400 m2/g with an activated carbon yield of up to 30 wt.% of the feedstock. Results obtained in the study will expand the possibilities of qualified use of oil refinery delayed coker unit products.