bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi-sensor Assessment of Geological Lineament Detection
Authors: Arifin Ainyyafiatty , Adnan Nor Aizam , Rasam Abdul Rauf Abdul 
Published: May 2021

Abstract
The advances in remote sensing technologies and geographical information sciences are applicable in various branches of geosciences. The high availability of remote sensing data provides a wide range of spatial and spectral resolutions that can be utilized for lineament mapping purposes, especially in detecting geological linear features in remote areas. The aim of this study is to compare multi-sensors active and passive remote sensing technologies in lineament mapping, based on automatic image processing tools. Landsat 8, Sentinel 1 and Sentinel 2 satellite data will be processed to detect lineaments between the state boundaries of Selangor and Pahang in the Peninsular Malaysia, with reference to the published geological map. In detail, lineaments will be automatically extracted after image enhancement processes. Then, the output will be imported in a geo-graphical information system to further analyze the extracted lineaments. Overall, statistics descriptions, density, and orientations analysis indicate a correlation between the extracted lineaments and the geology of the area. Furthermore, lineaments extracted from Sentinel 1 radar images show the most significant result. Sentinel 1 data indicated about 6396 extracted of lineaments with 2465.93km total length as compared to Sentinel 2 with only 2637 lineaments extracted and total length of 1045.92km. The accuracy assessment of matching lineaments provides the Sentinel 1 as the best sensor compared to both the Sentinel 2 and the Landsat 8, with root mean square errors (RMSE) equal to 1.660, 1.743 and 2.757, respectively. Therefore, both remote sensing technologies and geographical information sciences can be effectively integrated within the field of the structural geology, thus allowing the mapping of lineaments in a more practical, cost and time effective way.
Developing a 3D City Model Database Beyond Cadastral Purposes
Authors: Halim Nur Zurairah Abdul , Lim Chan Keat , Karim Hairi 
Published: May 2021

Abstract
Smart KADASTER Interactive Portal (SKiP) is a platform developed by the Department of Survey and Mapping Malaysia (JUPEM), where the cadastral survey information can be visualised in a 3D environment and expanded to satisfy other new-found requirement and beyond cadastral purposes. This paper outlines the approaches used to develop the SKiP phase 2 utilising 3D CityGML database schema. The 3D CityGML Level of Details (LoDs) reconstruction data source is derived primarily from cloud points and images of various airborne and terrestrial geomatic technologies. The 3D building models were constructed with Trimble SketchUp software and later imported into the respective CityGML LoD1, 2, 3 and 4 models (*.gml). The models were then imported into PostgreSQL database based on PostGIS schema and CityGML schema (3D City DB). A 3D Unique Parcel Identifier (UPI) is introduced to link the respective 3D LoD buildings with their corresponding 2D cadastral lot. Information (attribute) across multiple LoDs is retrievable via UPI ID query, and systematic updating tasks is feasible using the database. Quality assurance and control (QAQC) was applied to the CityGML LoD models and schema using FME workbench, 3DCityDB and CityDoctor. At the end of this paper, discussion and conclusion are outlined, with proposals for future work. Finally, this paper is hoped to help other users and researchers systematically build a 3D city model database and be aware of the possibilities of Smart KADASTER’s potential application beyond Malaysia’s cadastral purpose.
Evaluating the Distance Impact to the Scanning Topographic Object with the 3D Point Cloud Resolution
Authors: Ghazali Rosmadi , Razali Mohamad Hezri , Ghani Muhammad Nasri Abdul , Rasam Abdul Rauf Abdul 
Published: May 2021

Abstract
FARO 3D Terrestrial Laser Scanner (TLS) system was used to evaluate the impact of distance on scanning the topographic, building or structure object due to the lack of knowledge on the impact of the distance toward the resolution of the image produced by the terrestrial laser scanner. There is a lot of high-rise building that need to be monitored from time to time to prevent unwanted catastrophe from accruing in a good plan city. This study aimed to investigate the accuracy of point cloud produced by the laser scanner by scanning the object at a different distance are performed, especially to find a suitable distance for optimum accuracy. The main fieldwork activity involved is the selection of the most appropriate position for setting up the TLS at three different distance which is 30m, 40m and 50m from the building. The chosen position must cover the same area view to make sure the image can be used to compare with each other in term of accuracy. Before scanning the selected side of the building, several targets were placed on the building as it is necessary to tie the building to control points on the ground that have been acquired with Real-Time Kinematic (RTK) Global Positioning System (GPS). The image processing is done by following the flow of the scanning using Scene software to link the target with 3D coordinate and generate a point cloud. The accuracy of the 3D image captured at three different distance generated by the Scene software is compared to evaluate the impact of distances on accuracy. It can be suggested that distance selected for the experiment is reliable for high accuracy measurement in monitoring of structural movement.
3D Marine Cadastre within Land Administration - Review
Authors: Zamzuri Nor Ainn Alfatihah , Hassan Muhammad Imzan 
Published: May 2021

Abstract
Cadastre was used to identify the dimension and position of the properties defined in legal documents. It consists of the geometric description of the parcels that describing the interests and ownerships including the property’s value. Cadastre plays an important role in land administration for state authorities and federal organizations in terms of ownership (rights, restrictions, and responsibilities). Meanwhile, cadastre in the marine area is still quite unclear due to separate working systems between land and marine region. Coastal and maritime spaces with various uses regularly lead to overlapping rights issues in the water surface, water column, and seabed as well as conflict in technical, legal, and stakeholder management. Since some part of the marine area is considered as land space, there were a few ideas that have been proposed in managing marine area within land administration to overcome those issues. The current land standard data model that has been referred to, is Land Administration Domain Model (LADM). This standard has been proven relevant to 3D cadastre inland and marine environments. Some works discussed the probabilities of managing the marine environment within land administration. Thus, this paper attempted to review the possibilities of integrating marine cadastre within land administration.
Accuracy Assessment of Large-Scale Topographic Feature Extraction Using High Resolution Raster Image and Artificial Intelligence Method
Authors: Marena O , Fitri M S N , Hisam O A , Kamil A , Latif Z M 
Published: May 2021

Abstract
Feature extraction is the most important application in spatial data management for updating of topography databases. The importance of features extraction from high resolution raster imagery arises from the fact that it enhances the efficiency of map generation and map production. Presently many studies have been addressed to extract topographic using semi-automated methods using various types of technologies. The objective of the study is to evaluate the planimetry accuracy of topographic features extracted using combination of high resolution and artificial intelligence algorithm. Conventional methodology for features extraction is time consuming and costly. Therefore, automated methods are crucial needed for efficient large area mapping with cost efficient. Maxar 0.3 cm high resolution raster imagery is an important issue in many application domains. The Maxar-Ecopia method is applied in this study to update the large-scale topographic map. Maxar-Ecopia method demonstrates the potential use of high-resolution raster imagery as main source and artificial intelligence algorithm for topographic feature extraction. The planimetric accuracy (RMSEr) of vector extraction is 0.882m. This method is highly accepted to be applied for rapid updating of large-scale topographic map.
Design Strategies for Urban Agriculture in Dense Urban Areas
Authors: Shi Xiaoying 
Published: May 2021

Abstract
Urban agriculture provides economic, social, and cultural functions that improve human health and well-being for individuals and communities that reside in cities. However, with high land values and densely populated areas, available spaces for urban agricultural development are relatively rare. This research aims to explore feasible ways for residents that live in dense urban apartments to operate urban agriculture within the confines of a limited space. The design strategies for apartment farming will be summarized, which will provide opportunities for urban residents to grow fresh food, despite living in dense urban areas.
Research on the Measurement Model of the Relationship between Economic Growth and Environment in Shandong Province
Authors: Xu Zhaoxia , Xing Renpeng , Shao Bo , Shan Tiecheng 
Published: May 2021

Abstract
Through the analysis of the measurement model of the environmental and economic data of Shandong Province from 1989 to 2003, it is found that the fitting curve between industrial “three wastes” emissions and economic growth does not completely conform to the characteristics of the typical environmental Kuznets curve. This paper believes thinks that the economic development, changes in industrial structure, upgrading of energy consumption structure, policy and technology are the main factors leading to the non-typical environmental Kuznets Curves in Shandong province.
Simulation on Multiple Supervision Strategy of Construction Waste in China
Authors: Zheng Feng , Wang Chen , Wu Xiang 
Published: May 2021

Abstract
Along with the rapid urbanization of China, the construction waste disposal becomes an urgent problem than ever before. Through evolutionary game simulation, we studied the evolution law of government - enterprise - social governance system by using simulation and analyzed the case of “12 20” special heavy landslide accident in Shenzhen construction waste dumping site. Results indicate that the economic efficiency of the risk strategies, the strength of social supervision, the punishment intensity of government and the cost coefficient of illegal waste disposal all have a significantly influence on the multi-parties evolutionary game model. It is concluded that, for the effective supervision of construction waste disposal, government should built social supervision mechanism, promote the strength of social supervision, enhance the punishment intensity of government, and reduce the risk income of waste disposal enterprises.
Experience of Lead Pollution Control in Outdoor Shooting Ranges in the United States
Authors: Li Xu , Shu Tianchu , Guo Hanwen , Bai Binjie , Nie Xiaoqin 
Published: May 2021

Abstract
In this paper, the exposure ways and risks of lead in the shooting field are discussed, the factors influencing lead migration in the soil are analyzed, and the control measures and the methods of removing and recovering lead in the soil are summarized. The results demonstrate that soil pH has a great influence on the mobility of lead, which can be reduced by applying lime to improve soil pH. However, this approach is only suitable for daily maintenance. The removal of lead completely depends on screening and soil leaching, which can remove more than 99% of the lead particles.
Assessment of the impact of windows and building orientation on the energy intensity of container houses using BIM
Authors: Shi Mingyu 
Published: May 2021

Abstract
With the rapid development of the container industry, the use of container houses has become extensive. This paper uses the method of orthogonal experiment to study the change of the energy consumption of the container by changing the size, height, direction of the container window and the direction of the container building. The building used a container house in Xiangfang District, Harbin City, Heilongjiang Province, China as a case. 71 scenes were created, 3D modeling was performed using Revit and imported into Green Building Studio for Energy Use Intensity (EUI) calculation. This research is divided into three processes. The first process is to study the impact of window-to-wall ratio. Through the first process, a rule is obtained, and the height of the window has the greatest impact on energy consumption when the window-to-wall ratio is 0.2. Therefore, in the second process, the window-to-wall ratio of the windows is fixed to 0.2. When the height of the windows of different orientations changes, the energy consumption of the container house changes. In the third process, based on the results of the first two research processes. the orientation of the container house is changed, namely the north-south orientation and the east-west orientation, and the energy use intensity calculation is performed again. The results show that the window-to-wall ratio has the greatest impact on the energy use intensity of the container house. The larger the window-to-wall ratio, the greater the energy consumption. The height and orientation of the windows have an impact on the energy use intensity but not much.
Impact risk assessment based on Grey accident tree
Authors: Zhu Ye , Chu Yanwen , Hu Fei 
Published: May 2021

Abstract
The impact ground pressure is currently restricted mine production and safety of one of the typical dynamic disasters, this paper USES the two-dimensional evaluation method from two dimensions of risk and possibility analysis of the impact of the situation in a coal mine in shandong province, using fault tree (FTA) to determine the impact, with grey correlation analysis to find out the key factors that affects the risk impact and to improve the traditional fault tree analysis method, effectively solve the traditional fault tree in uncertain complex system are not suitable for as a quantitative analysis of the defects Combined with the field mining simulation of Shendong Group to judge the stress concentration and migration, to assist in verifying the impact risk of Shendong Coal Mine, the multi-parameter early warning system combining geological factors and mining factors is established, and the key factors of impact risk are corrected.
Technology for Optimizing Flue Gas Pollutant Emission Reduction in Oil Field Heating Furnace Combustion
Authors: Song Chunyan , Zhou Hongbin , Guo Ruiqing , Wang Xiaohui , Zhou Lei , Zuo Wenjie , Sun JingWei , Zhang Yaqi 
Published: May 2021

Abstract
The energy consumption of the heating furnace is an important part of the energy consumption of the oilfield gathering and transportation system. The low energy efficiency of the heating furnace will directly lead to the increase of oilfield production costs. In response to the national energy-saving and emission-reduction policy, the oilfield has implemented energy-saving practices in heating furnace load adjustment, efficient combustion, excess air coefficient control, flue gas waste heat utilization, and furnace modification. It is clear that the energy efficiency of oilfield heating furnaces is still lower than foreign advanced levels. There is an urgent need for further energy conservation and efficiency enhancement. MVR low-temperature flue gas heat recovery technology, flame shape matching technology, nanofluid heat transfer enhancement technology, solar auxiliary heating technology and other new technologies that can be used for energy saving and consumption reduction of oilfield heating furnaces provide a reference for oilfield heating furnaces to tap the potential and increase efficiency.
Environmental Risk Assessment Method for Drilling Solid Waste Resource Utilization
Authors: Song Chunyan , Wang Xiaohui , Li Yuan , Zhang Nan , Guo Ruiqing , Xie Xueying , Zheng Hongyue , Gu Zhenqi 
Published: May 2021

Abstract
With the gradual increase in the comprehensive utilization rate of industrial solid waste, the quality and safety of drilling solid waste recycling products have become increasingly prominent. This article starts with the hazards of drilling solid waste resourced products to the human body and the environment, adopts the method of hazard factor identification, constructs a qualitative and quantitative index system for the quality and safety evaluation of solid waste resourced products, and proposes corresponding evaluation procedures and countermeasures.
Research on the correlation between electricity consumption and pollutant emission concentration based on DCCA and the prediction of pollutant emission concentration
Authors: Li Guangye , Zhang Jiaxin , Wen Xin , Xu Langming , Yuan Ying 
Published: May 2021

Abstract
Based on the big data of electricity consumption in industrial enterprises, this paper uses the DCCA (Detrended cross-correlation analysis) method to study the correlation between electricity consumption and pollutant emission concentration. The BP neural network method is also used to model and predict the pollutant emission trends, in order to monitoring of pollutant emissions in industrial enterprises reasonably. The research results show that there is an obvious correlation between electricity consumption data and pollutant concentration data, and the pollutant emission concentration can be predicted to a certain extent by building a BP neural network model. and the pollutant emission concentration can be predicted to a certain extent by building a BP neural network model. The prediction of pollutants through electricity consumption data helps enterprises to actively respond to the national environmental protection policy and promote national economic development, while allowing more enterprises to enjoy the convenience brought by big data analysis.
A statistical analysis of climate change in Guiyang, Southwest China
Authors: Hou Shuangshuang , Yu Lifei , Yan Wei 
Published: May 2021

Abstract
With global warming a certainty now, all human activities should adapt the local climate change. It is important to study the characteristics of climate change in Guiyang due to rapid development and little research has been carried out. Supported by meteorological data of 8 weather stations in Guiyang from 1980 to 2017, Mann-Kendall analysis results of the study area for monthly mean temperature and total precipitation show that warming and the alteration of precipitation pattern is appearing with the temporal-spatial heterogeneity. The changing of the precipitation temporal-spatial patterns will indeed increase the risk of drought and flood disasters. The abrupt warming point occurs mainly after 2000, while the abrupt point of precipitation is not significant. The temporal-spatial heterogeneity of climate change is should be considered when implementing the development strategy. Our study can provide a reference for regional climate change research and guidance for making key decisions in the development in the term of environment.
Static and random vibration analysis of an air freight package
Authors: Diao Jiandong , Huang Qiushuang , Pan Yang , Zhang Chenfeng 
Published: May 2021

Abstract
Due to the significant speed advantage, air freight has become the preferred long-distance transportation method for precision electronic instruments and other high-value products. In order to avoid the impact of air load conditions on the safety of cargo and aircraft, it is necessary to calculate and check the carrying capacity of cargo package. In this paper, finite element analysis has been applied on design of an air freight package. Firstly, make force analyze, and use the maximum force for static analysis to solve stress distribution. Then, make modal analysis and random vibration analysis to obtain the 3σ stress and deformation. According to static analysis, the maximum equivalent stress of the package under emergency conditions is less thanσb. According to dynamic analysis, the probability that the maximum stress of the package is greater than 56.69Mpa does not exceed 0.3%.
Example-based Reasoning for Deformation Design of Typical Aerospace Parts
Authors: Ming Liu 
Published: May 2021

Abstract
To address the tedious process of modelling typical aviation parts, it is difficult to achieve rapid modelling phenomenon. Component Application Architecture, or CAA, is used to develop CATIA. It proposes a deformation design method for typical aeronautical parts based on example reasoning. A library of typical part models is first created, then similar models are retrieved by instance retrieval and matching, followed by retrieval of similar models. The next step is to analyze the target design model and the retrieved 3D model, and then make changes to its features to complete the deformation design. The results show that the deformation design method can quickly and accurately create 3D models, improve design efficiency and quality, and provide an effective guarantee for the processing and manufacturing of typical aeronautical parts.
Analysis of the Application of High Performance Liquid Chromatography
Authors: Chen Xiaodan , Wang Liang 
Published: May 2021

Abstract
With the continuous improvement of detection accuracy and precision requirements, the rapid development of modern detection technology, high-performance liquid chromatography with its high separation efficiency, high selectivity, high detection sensitivity, high accuracy of the advantages of a wide range of applications in many fields, is a qualitative and quantitative analysis technology. In this paper, the application of high performance liquid chromatography in food inspection, drug inspection and environmental monitoring is comprehensively described.
Analysis on the Control of Faults on the Formation of P-1 Reservoir in Syncline Area of X Oilfield
Authors: Li Qing 
Published: May 2021

Abstract
Hydrocarbon occurrence in Putaohua Formation of Xujiaweizi Syncline area is largely controlled by three types of faults. The long-term faults were the conduit of hydrocarbon from source rock Q1 to Putaohua reservoir. These long-term faults could cause new accumulation and leakage of accumulated hydrocarbon simultaneously during their active time. The middle-term and short-term faults are the sealing faults to enforce the entrapment of hydrocarbon in the fault-block traps. The relationship of fault conduits with the related traps is the main controlling factor for the hydrocarbon distribution in the faulted blocks around the center of Xujiaweizi Syncline. This hypothesis can well explain why the central portion of the syncline is with poorer accumulation than the surrounding horst blocks in which the accumulation are rich in their anticline structure traps.