bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment of Photogrammetric Mapping Accuracy in Slope Area with Different Flight Altitude Using Unmanned Aerial Vehicle (UAV)
Authors: Syafuan Wan Mohamed , Ismail Neza , Idris Ahmad Norhisyam , Isa Nurul Amirah , Zamili Fatin Nur Zatasya , Jelani Jestin 
Published: May 2021

Abstract
Nowadays, UAV is preferred by experts since it is more affordable with reliable accuracy. However, debates on its accuracy draw worldwide attention in order to maintain the output’s quality. Flight altitude is one of the most debated issues of UAV employment due to various ground conditions. Thus, this study intends to investigate the effects of flight altitude towards the final output accuracy. In this study, three different flight altitudes (60m, 80m and 100m) were used to test the outputs accuracy within selected sites in UPNM campus by employing DJI Phantom 4 Pro V2.0 drone. Orthophotos and Digital Surface Model (DSM) of the selected sites were then generated using Pix4D Mapper Software. On-screen measurements of selected features within the selected sites were taken and compared with the actual measurements obtained on grounds. Later, these outputs were used to generate contours using ArcGIS software. The generated contours were compared with available as-built plan. The results were examined qualitatively and quantitatively. From this study, it is found that the mean variance values on flat surface using different flight elevation were 0.86m, 0.99m and 1.16m for 60m, 80m and 100m respectively. Whereas, the mean variance values on hilly surface were 6.95m, 4.35m and 4.3m for 60m, 80m and 100m. On flat surfaces, 60m flight altitude was the best height to be used for UAV mapping. However, for hilly surfaces, 100m flight altitude was the best height to be used. This contrast may due to the lower overlapping images in 60m flight altitude image capture. From the study also, it is found that the accuracy of UAV mapping on hilly surfaces tends to be lower than flat surfaces. This called for further studies to identify the best measures to reduce the errors resulted by extreme ground characteristics.
Landslide Susceptibility Mapping using Genetic Expression Programming
Authors: Hosseini Maryamsadat , Shad Rouzbeh , Lim Samsung 
Published: May 2021

Abstract
The increasing demand for land use and the mismanagement of lands have caused the increase of landslides around the world. It is important to recognize the landslide characteristics and the determining factors that influence this phenomenon in order to mitigate the adverse economic and environmental impacts. This study aims to estimate the landslide susceptibility in an area of Siahkal at Gilan province, Iran, by formulating a model using Gene expression programming (GEP). Seven condition factors including altitude, aspect, slope, proximity to rivers, proximity to faults, land use and lithology, were used in this research. The proposed model was developed as an equation, and its accuracy was assessed by the area under an Receiver Operating Characteristic curve that shows 0.82 and 0.77 for the training data and the test data, respectively. The result of this research was also evaluated with the inventory map over the study area which was constructed by field surveying and interpretation of airborne/satellite images. Our landslide susceptibility map indicates that the northern part of the area has the highest possibility for landslide which is in agreement with the landslide inventory map of the previous landslide.
Effect of Spectral Bandwidths on Linear Feature Extraction: An Evaluation of Landsat ETM+ and OLI Sensors
Authors: Imanian Ali , Asadi Adel , Tangestani Majid Hashemi , Homayouni Saeid , Faghih Ali 
Published: May 2021

Abstract
Hitherto there have been many studies comparing the usefulness of OLI and ETM+ sensors for linear feature extraction. However, not too much attention has been paid to the differences in the bandwidth of the two sensors. In this study, the suitability of Landsat ETM+ and OLI sensors for automatic detection of linear features by LINE algorithm was compared. In this study, eight regions in northern, central and southern parts of Iran were selected based on the diversity of lithology, the pristine status, and lack of human activities for the comparison of the two datasets. Results revealed that LINE algorithm performed better on the images with higher standard deviation. The ETM+ datasets are more suitable for linear feature extraction because ETM+ panchromatic band and first principal component analysis image (PC1 image) of ETM+ datasets have higher standard deviation compared to OLI datasets.
A Feasibility Study of 2D Microwave Respiration Monitoring through Simulation Method
Authors: Yan Zihan , Mo Tiezheng , Zhu Yujin 
Published: May 2021

Abstract
This paper studies the feasibility of two-dimensional microwave respiration monitoring. According to a real human computed tomography image, the chest cavity is established in the simulation, which is more realistic and persuasive. Based on the formula of 4-Cole-Cole expressions, some corresponding parts of the human body’s relative permittivity and conductivity are calculated. Moreover, the dielectric properties within the lungs will change during respiration, and the changes will affect the transmission of microwaves in the human thorax. In this paper, the frequency of 433MHz and 915MHz is adopted to monitoring respiration. The simulation data is collected and analyzed to get intuitive maps. In summary, this study illustrates the feasibility of microwave respiration monitoring.
Eco-environmental quality evaluation of Wuleidaowan national wetland based on Analytic Hierarchy Process(AHP) approach
Authors: Zhang Yihang , Guo Jirui , Zhuang Yan , Xiujun Tian 
Published: May 2021

Abstract
Wetland ecosystem can be influenced by many eco-environmental indexes, which will affect the ecological environment quality to varying degree. In this study, weights of different indexes that will have a influence on wetland ecosystems can be determined using Analytic Hierarchy Process (AHP) approach. Based on the field survey of Wuleidaowan National wetland and distribution of 400 questionnaires to environmental experts and workers managing wetland, of these 398 were returned, the environmental evaluation of wetland system can be fully conducted. The target of the study was divided into four main evaluation criteria, ecological resources(B1), wetland landscape(B2), infrastructure(B3), management(B4), and the four evaluation criteria were further divided into 17 indexes at the bottom level. The results of target index layer sorted by combination weight analyses indicated that species diversity, ecosystem typicality, overall style and wetland water resources have the greatest influence on determining the ecological environmental quality of Wuleidaowan National wetland. In addition, the comprehensive evaluation index(CEI) of Wuleidaowan National wetland is 0.9443, namely 0.7<CEI<1.0, showing ecological environment in Wuleidaowan wetland is very excellent on the whole. However, based on the findings, there is a need further to strengthen community co-management, regulate conservation of recovery, improve science value and aesthetic value and optimize the mission facilities to plan, manage and protect the Wuleidaowan National wetland ecosystem.
Influence of Mixed Sludge on the Operation of Coal-fired Unit Boiler
Authors: Zhang Limeng , Dong Xinguang , Zhao Zhonghua , Liu Jinglong , Wang Haichao , Zhang Xuhui , Liu Ke , Hou Fanjun 
Published: May 2021

Abstract
In this paper, the operation characteristics of a 480t/h ultra-high pressure pulverized coal fired boiler with municipal sludge were studied. The results show that: mixing sludge has a negative impact on the thermal efficiency of boiler operation, and with the decrease of boiler evaporation and the increase of sludge mixing ratio, the decline of boiler thermal efficiency increases, but mixing sludge can effectively reduce the emissions of nitrogen oxides and sulfur dioxide in the boiler. Through the optimization and adjustment test, it is found that the optimal oxygen content of the boiler is 3.61% when the proportion of sludge is 5%.
Influence of typical pollutants in soil on the spread of antibiotic resistance genes
Authors: Wang Jiawei , Zhang Baoqiang 
Published: May 2021

Abstract
Soil is a key component of ecosystem. It is not only the most active interface for material circulation and energy transportation, but also the substrate and space for animals and plants to survive, and has extremely rich biodiversity. Soil occupies the central position of the key zone in the entire nature, which carries about 90% of the pollutants. At the same time, it is an important “source” for the migration and transformation of pollutants to the atmosphere, water and other environmental media. This article discussed the drug resistance mechanism of bacteria and the transmission route of antibiotic resistance genes, taking antibiotics, heavy metals and organics as representatives to discuss the impact of major pollutants in the soil on the transmission of drug resistance genes, in order to provide guidance for public health and environmental safety.
Properties of Solid Waste Mixture-Solidified Cu2+-Contaminated Soil
Authors: Suo Chongxian , Cao Jiawei , Cao Hongyu , Dong Xiaoqiang 
Published: May 2021

Abstract
To study the solidification effect of red mud, calcium carbide residue, and phosphogypsum mixture on Cu2+-contaminated soil under the soaking condition, the stress-strain, leaching toxicity, and microstructure of solidified soil with cement and mixture were systematically analyzed. The results show that the peak stress of the mixture solidified soil increases with the curing age, and the addition of solid waste is beneficial for the improvement of peak stress. Its leaching concentration of copper ion is not only lower than that of cement solidified soil, but also lower than 0.6mg·L−1. Besides, the leaching concentration decreased gradually with the curing age. According to the microstructure of solidified soil, it is found that the hydration products of the solidified soil are mainly represented by calcium silicate hydrate/calcium aluminosilicate hydrate and ettringite, which play an important role in the development of the strength and the solidification of copper ions.
Intelligent Internet of Things Technology in Agricultural Environment Monitoring
Authors: Xiao Gengyi 
Published: May 2021

Abstract
The application of the Internet of Things to precision agriculture is conducive to the intelligent and controllable aspects of agricultural production and management, is conducive to the implementation of green agricultural production methods, is conducive to the sustainable development of agriculture, and promotes the structural reform of the agricultural supply side. An intelligent greenhouse environment monitoring system is designed based on the Internet of Things technology, and a wireless network is established using the JenNet protocol to realize real-time monitoring of environmental factors such as air temperature and humidity, soil temperature and humidity, light intensity, and CO2 concentration in the greenhouse. Finally, the paper uses the time automata modelling tool UPPAAL to verify the system logic correctness and system execution timing verification on the established formal model. The results verify that the agricultural temperature control environment system network based on the intelligent Internet of Things operates stably, with high acquisition accuracy, low node power consumption, accurate feedback control, and meets the intelligent demand for greenhouse data acquisition and control.
Research on Ecological Rural Tourism Development Based on Green Environmental Protection Model
Authors: Chen Zhou 
Published: May 2021

Abstract
Ecological environment is the foundation and prerequisite for the development of rural tourism. The development of rural tourism promotes the rural ecological environment. The coordinated development of the two is of great significance to the sustainable development of rural tourism and the construction of ecological civilization in rural areas. Here, this article briefly summarizes the current plight of rural tourism and the relationship between rural tourism and the ecological environment, and puts forward some suggestions for the joint development of rural tourism and ecological environment protection, and pays attention to the protection of the ecological environment while recognizing the development of rural tourism, to achieve the harmonious and common development of rural tourism and the environment.
The Reality, Risk and Governance of Regional Innovation Ecosystems under Digital Transformation Background
Authors: Hao Wenqing , Zhang Jianbin 
Published: May 2021

Abstract
The digital transformation of regional innovation ecosystems is received by the extensive attention from academia and practical communities. This paper uses China’s regional innovative ecosystem as a research object, explores changes in information flow, resource flow, capital flow and technical flow direction and flow rate within the context of digital transformation. The study found that digital transformation will change the flow direction and structure of the information flow; The flow rate of resource flow, capital flow and technology flow is accelerated is increased, but the flow direction is unchanged. Finally, the potential risks of innovative ecosystem under digital transformation background have been analyzed, and the countermeasures and recommendations for relevant management departments and enterprises are put forward, providing a theoretical reference for further improving digital construction for China’s regional innovation ecosystems.
Study on a structure of pyridine-2, 6-dicarboxylic acid calcium boric acid hydrate, C7H16BCaNO12
Authors: Liu Haixing , Liu Ying 
Published: May 2021

Abstract
The novel pyridine-2,6-dicarboxylic acid calcium boric acid hydrate C7H16BCaNO12 was investigated by hydrothermal and its crystal structure was characterized using X-ray diffraction technology. Ca1 atom is eight coordinated by N and seven O atoms from pyridine-2,6-dicarboxylic acid and four H2O molecular. The hydrogen bonding O-H… O had central effect for crystal stability.
Prediction of PM2.5 Concentration Based on Time Series
Authors: Xu Qirui 
Published: May 2021

Abstract
PM2.5 is an important component of air pollution, its chemical composition and source are relatively complex, and it stays in the atmosphere for a long time, which has seriously endangered public health, damaged the ecosystem and even affected the climate and environment. Therefore, the prediction of PM2.5 is of great significance for public health protection and environmental management. One of the reasons why it is difficult to predict PM2.5 is the interaction between air pollutants, so a method that can not only accurately predict the change of PM2.5 concentration, but also explain the results is needed. In this paper, different surface meteorological information is used as time series data to predict the hourly PM2.5 concentration in Wuhan. The prediction can explain the influence of input variables, and use random forest to learn and predict the data. In addition, the meteorological information, air pollutant information and dust value of Zhengzhou City grouped by time series are used as input variables to reflect the air characteristics of North China. This method can learn all the specific time information of the input variables processed by time series in a balanced way, and can also explain the related effects of the input variables. In addition, it also shows that the related variables in North China have an important impact on the generation of PM2.5 in Wuhan.
Construction method and equipment of stone column in Israel Ashdod port
Authors: Feng Youdei 
Published: May 2021

Abstract
According to the technical requirements of stone column for improvement of foundation of Ashdod Port in Israel, this paper studies the solutions to achieve stone column construction under strong wave condition. Based on the research of different construction methods and equipment of stone column, combined with the analysis of work efficiency, jack-up platform is put forward, which solves the technical problem of construction of stone column under the condition of long periodic wave surge.
Optimization of the flight test organization structure of batch-producted aircraft based on entropy theory
Authors: Jun Deng 
Published: May 2021

Abstract
According to the characteristics of batch-produced aircraft flight test, this paper optimizes the traditional project-based organization structure, and innovatively proposes an organizational structure suitable for batch-produced aircraft test flight. Using entropy theory, an entropy model of flight test organization structure is established, and the model is used for calculation and analysis to provide quantitative data reference for the optimization of flight test organization structure.
Research on Simulation Experiment of Underwater Cluster Multi-source Information Fusion
Authors: Ji Bei , Tao Mo , Li Hongrui 
Published: May 2021

Abstract
Intelligent cluster information fusion technology is one of the key technologies to solve systematic cooperative operations in underwater manned and unmanned cooperative operations clusters. In this study, aiming at the multi-node hybrid multi-level hierarchical information fusion architecture and global optimization association algorithm based on cluster formation detection, the test scheme and evaluation method of multi-level information fusion are proposed, and the cluster information fusion simulation test system including sonar system, simulation deduction and evaluation system and multi-source information fusion system is constructed. For the first time, the system comprehensively verified the ability of multi-platform from orientation to positioning in the grouping of fusion algorithm, and proved the correctness and effectiveness of the fusion algorithm, which could greatly improve the accuracy of orientation and distance, and formed a highly credible simulation test evaluation ability. The system is extensible at the same time, and can also be applied to other simulation experiments.
Study on Volume Index Test and Control of Large Stone Porous Asphalt Mixture
Authors: Zhang Zhigeng , Zhao Jiasheng , Liu Fangtao , Yang Fei 
Published: May 2021

Abstract
Due to the large proportion of coarse aggregate, the key index void ratio of Large stone porous asphalt mixture is difficult to control in the production process. In order to solve this problem, this paper first carries out the raw material testing and mixture design of LSPM-30; then carries out the comparative analysis of the calculation method and Corelock method for the volume index of Large stone porous asphalt mixture; finally, according to the sample test and porosity calculation, the difference of porosity between the laboratory sample and the field sample is calculated, and based on this, the porosity of the field and laboratory sample is proposed control requirements.
An Approach of Ship Trajectory Clustering Based on Minimum Bounding Rectangle and Buffer Similarity
Authors: Sun Mengzhu , Wang Jiasheng 
Published: May 2021

Abstract
A clustering method based on Minimum Bounding Rectangle and buffer similarity was proposed to improve the trajectories clustering and reduce computation time. Taking the Volunteer Observation Ship data as an example, firstly, we calculated similarity by dividing the area of the overlapped parts of two MBRs by the area of the larger MBR. According to the similarity matrix, the original trajectories were divided into several clusters by coarse clustering using Density-Based Spatial Clustering of Applications with Noise (DBSCAN). After that, the similarity of each cluster was calculated by buffer analysis. Then DBSCAN was used again for each cluster, and the Silhouette Coefficient was used to evaluate the resulting cluster quality. The experimental results showed that the presented methods improve the accuracy of MBR and reduce time cost of buffer similarity.
Uncertainty Analysis of Water Budget for Jinan Spring Basin Based on Numerical Model
Authors: Ni Hanxi , Shu Longcang , Li Hu , Opoku Portia Annabelle , Wang Xiaobo , Zhang Manqi , Yu Yafei 
Published: May 2021

Abstract
Groundwater numerical simulation is affected by many uncertain factors, which directly influence the precision and reliability of simulation results. Therefore, it is very important to analyze the influence of these factors. This paper studied the influence of the uncertainty of sources and sinks on the water budget and the effect on the constant spring flow. Jinan spring basin was chosen as a case study, and a groundwater numerical simulation model was established. In the model, precipitation, groundwater exploitation, and boundary conditions are selected for the local sensitivity analysis. The analysis showed that precipitation is the most important factor affecting the water budget in Jinan spring basin, whilst groundwater exploitation is the most sensitive factor for spring flow. Upon consideration of the impact of these two factors, six different scenarios were developed for the numerical simulation, and quantitative analysis was conducted of the impact of the uncertainties from the sources and sinks on Jinan spring. The results of this study can provide a scientific reference for the effective use of groundwater resources on the constant gushing of Jinan springs.
Acoustic Packet Optimization of Tire Noise Based on SEA Method
Authors: Qiu Bin , Jiang Dayong , Li Peiran , Lin Yongshui 
Published: May 2021

Abstract
As the size of the engine decreases and its performance increases, its noise also decreases, and tire noise has become an important source of vehicle noise. Based on the Statistical Energy Analysis (SEA) method, use Hypermesh and VA-One software to establish a SEA model; through the vehicle PBNR simulation analysis and test benchmarking, the analysis model was calibrated and the accuracy of the simulation analysis was improved. In this research, a new TPNR calculation method is proposed to evaluate the noise reduction effect of tire noise excitation to the car. The acoustic performance is evaluated based on the calibrated SEA analysis model by optimizing the thickness, leakage rate and coverage of the acoustic bag at the luggage compartment floor, front and rear floors, and front and rear wheel covers. It is found that the optimization scheme for the front and rear floors and the luggage compartment floor has better effect, but the optimization effect for the rear wheel cover is not obvious.
Temperature Effect on Main Girder of Strengthened Dongming Huanghe River Highway Bridge in Service
Authors: Xu Gangnian , Yu Xinbo , Li Dawei , Chen Zihua , Zong Xu 
Published: May 2021

Abstract
The main girder of Dongming Huanghe River Highway Bridge was the first prestressed concrete (PC) continuous box girder bridge strengthened by a cable-stayed system in China. In order to study the temperature effect of the main girder structure of Dongming Huanghe River Highway Bridge after reinforcement, based on the measured data of middle span deflection, key section strain and typical crack width, the curve equations of strain and temperature of main girder were obtained by the regression analysis method. The results show that the annual strain value of main girder changed with the acquisition time in a sinusoidal function, and was linearly related to the temperature. The variation of mid-span deflection decreased gradually from side span to middle span, and varied dynamically with temperature in the whole girder, which also has obvious correlation with temperature. The crack width fluctuated up and down in a certain numerical range, which belonged to respiratory cracks and had equally correlation with temperature.