bluuebunny/crossref_metadata_2025_split huggingface dataset:
Recognition Method of Petroleum Fluorescence Spectra Based on Convolutional Neural Network
Authors: Wang Zhongdong 
Published: December 2021

Abstract
As an important raw material and petrochemical tool, petroleum not only brings convenience to mankind, but also brings huge socio-economic and cultural value to our social development, but at the same time it also causes a lot of serious damage to our ecological environment. The identification and measurement of petroleum pollutants has become the main tool to identify pollution sources, control their pollutants and protect their ecological environment. This paper explores the petroleum fluorescence spectrum identification method based on convolutional neural network. Based on extensive research on this method, a simple analysis and understanding of petroleum fluorescence spectrum identification technology and petroleum-related principles are carried out, and then summarized according to relevant data find out the main factors that affect fluorescence spectrum recognition, and prepare for the experiment. The feasibility of the method is verified through the petroleum fluorescence spectrum recognition experiment of the convolutional neural network. The experimental results show that the relative error of the fluorescence spectrum recognition under different concentrations of petroleum both are within the range of 9%. Through the analysis of the relative error, it can be seen that the relative error of resolution shows a downward trend with the increase of the concentration. According to the above data, it can be seen that when the convolutional neural network algorithm is used to identify the components of the petroleum mixed solution, the qualitative analysis can be completed well. When the components in the mixed solution are quantitatively analyzed, there is a certain relative error.
Experiment of Solar Semiconductor Condensing Wall Water Intake System Based on Big Data
Authors: Wei Xianwen , Chai Zongjun , Fang Lei , Luo Miao , Gou Mingxin , Zhen Xiaofei 
Published: December 2021

AbstractWith the rapid development of industry and agriculture, fresh water resources are increasingly scarce, desertification control project investment is more, but the benefit is small. In order to solve the practical problem of water scarcity in desert areas and the waste caused by water not being applied precisely to plants, Based on the rapid development of 5G network signal transmission technology and big data analysis technology, a set of solar semiconductor condensation wall water intake system is designed to inject new vitality into the process of desertification control by taking advantage of the environmental and climatic characteristics of desert areas. Through theoretical analysis, big data analysis and experimental study of the system, taking Liangzhou District of Wuwei City in Gansu Province as an example, the comprehensive analysis of the system was carried out. The results show that the theoretical water output per hour of the system is 138.3g, and the cumulative power generation of the system in 20 years is 28800kWh, which can reduce standard coal combustion by 8.64t, reduce CO2222.64t, and save 33609.6 yuan.
Search Engine Optimization Method of Online Course Management Platform
Authors: Wang Bixi , Wu Wenbin , Zheng Wenfeng , Gong Qilong , Yin Lirong 
Published: December 2021

Abstract
This study proposes a method of keyword selection in search engine optimization to improve the accuracy of search engine and website rankings. To promote the development of scientific and technological innovation, this paper selects the innovation and entrepreneurship curriculum platform as the experimental object. By comparing different search engine optimization strategies, the keyword search volume data is analyzed based on “comprehensive index evaluation method”, which analyzes and calculates the change of keyword search comparison and the number of related keywords. Therefore, this paper will use the comprehensive index evaluation method for keyword selection, and establish a set of practical keyword selection method combined with the actual situation of innovation and enterprise curriculum platform. The results show that this program can improve search accuracy and website ranking.
LDA-CBOW-Based Mining Model for Risky Driving Behavior in Traffic Accidents
Authors: Shi Tuo , Wang Na , Zhang Lei 
Published: December 2021

Abstract
Traffic accident data of traffic management department is recorded in unstructured text form, which contains a large number of characteristic descriptions related to risky driving behavior. However, such data has short text length and abundant professional vocabulary. Many text mining techniques cannot effectively analyze such text data. This paper proposes an improved LDA algorithm based on CBOW—LDA-CBOW model for the study of traffic accident text data containing illegal behaviors. This model can better extract the topics of traffic accident data and filter the keywords under the corresponding topics, which provides a better way to study the dependence relationship between traffic data and illegal behaviors. Experiments show that compared to other models, this model can better extract related topics of traffic accident data with higher model efficiency and better robustness.
Personal Privacy Data Protection in Location Recommendation System
Authors: Han Linrui 
Published: December 2021

Abstract
At present, there are many location-based recommendation algorithms and systems, including location calculation, route calculation, and so on. However, in the general information data publishing, the privacy issues in the published data have not been fully paid attention to and protected. The purpose of this article is to investigate the effectiveness of personal privacy data protection in location recommendation systems. This paper first introduces the basis and importance of research on data security and secrecy, analyses personal privacy issues in data publishing in the era of big data, summarizes the research status in the field of security and secrecy at home and abroad, and introduces the process of data security and the role of users in it. Then, some classic privacy security modules in this field are introduced, and the privacy of data storage security concepts in the current situation mentioned in this paper is analyzed. A geographic location-based privacy protection scheme in mobile cloud is proposed. Privacy analysis, sensitive attribute generalization information analysis, route synthesis analysis and related experiments are performed on the location recommendation system. The experimental results show that the scheme proposed in this paper is more secure and has less loss of data availability.
Construction of 3D GIS based on VR and Edge Computing
Authors: Wang Fei , Zhou Chao , Chen Yanlong , Jing Xindi 
Published: December 2021

Abstract
Geographic Information System (GIS) is a subject that studies spatial information science and computer system for collecting, storing, retrieving, modeling, analyzing and representing geospatial data. GIS not only manages attribute information based on numbers and text, but also manages spatial information based on visual graphics and images. With the rapid development of computer technology, space technology and information technology, the expression form of map is gradually changing from two-dimensional to three-dimensional. 3D GIS can express 3D spatial information in detail and has powerful multi-dimensional spatial analysis function. However, 3D visualization technology can not be immersed in geographic information. The process of requesting information by each end user is energy intensive. If big data processing is adopted, it will greatly increase the computing pressure of big data center. The paper presents a 3D GIS construction method based on Virtual Reality (VR) and edge computing (gis-ve). Specifically, firstly, virtual reality equipment is deployed at the user terminal to realize the organic integration of real scene and virtual object in three-dimensional space, and build a real and perfect three-dimensional real world space. Secondly, under the edge computing architecture, virtual reality applications are deployed on edge computing nodes to reduce the number of device hops transmitted between virtual reality application data and end users, reduce network processing delay and reduce the computing pressure of big data processing center. Then, the deployment problem of GIS is transformed into a performance optimization problem, and the delay and cost are used as evaluation indexes. Finally, an improved artificial bee colony algorithm is proposed to solve the optimal GIS construction scheme. In order to verify the feasibility and effectiveness of this method, the paper compares this method with two other advanced 3D-GIS construction methods, and experiments show that this method performs well in terms of delay and cost.
Implications of different income distributions for future residential energy demand in the U.S.
Authors: Sampedro Jon , Iyer Gokul , Msangi Siwa , Waldhoff Stephanie , Hejazi Mohamad , Edmonds James A 
Published: December 2021

Abstract
Future income distribution will affect energy demand and its interactions with various societal priorities. Most future model simulations assume a single average consumer and thus miss this important demand determinant. We quantify long-term implications of alternative future income distributions for state-level residential energy demand, investment, greenhouse gas, and pollutant emission patterns in the United States (U.S.) by incorporating income quintiles into the residential energy sector of the Global Change Analysis Model with 50-state disaggregation. We find that if the income distribution within each U.S. state becomes more egalitarian than present, what means that the difference on income between the richest and poorest decreases over time, residential energy demand could be 10% (4%–14% across states) higher in 2100. This increase of residential energy demand will directly reduce energy poverty, with a very modest increment on economywide CO2 emissions (1%–2%). On the other hand, if U.S. states transition to a less equitable income distribution than present, with the difference between richest and poorest increasing over time, residential energy demand could be 19% (12%–26% across states) lower. While this study focuses on a single sector, we conclude that to improve understanding of synergies and tradeoffs across multiple societal goals such as energy access, emissions, and investments, future model simulations should explicitly consider subregional income distribution impacts.
Anthropogenically forced increases in compound dry and hot events at the global and continental scales
Authors: Zhang Yu , Hao Zengchao , Zhang Xuan , Hao Fanghua 
Published: December 2021

Abstract
Remarkable increases in compound dry and hot events (CDHEs) have been observed in different regions in recent decades. However, the anthropogenic influence on the long-term changes in CDHEs at the global scale has been largely unquantified. In this study, we provide evidence that anthropogenic forcings have contributed to the increased CDHEs over global land areas. We compare the spatial and temporal changes in CDHEs based on climate model simulations from Coupled Model Intercomparison Project Phase 6 and observations from different datasets. The results show observed occurrences of CDHEs have increased over most regions across global land areas during 1956–2010 relative to 1901–1955. In addition, we find a temporal increase in observed occurrences of CDHEs averaged over global land areas and different continents (except Antarctica) for the period 1901–2010 (with a larger increase during 1951–2010). The spatial and temporal changes in historical all-forcing simulations (with both anthropogenic and natural components) are overall consistent with observations, while those in historical natural-forcing simulations diverge substantially from observations, heightening the key role of anthropogenic forcings in increased CDHEs. Furthermore, we use the probability ratio (PR) to quantify the contribution of anthropogenic forcings to the likelihood of CDHEs since the mid-20th century (1951–2010). We find anthropogenic influences have increased the risk of CDHEs in large regions across the globe except for parts of Eurasia and North America. Overall, our study highlights the important role of anthropogenic influences in increased CDHEs from a global perspective. The mitigation of climate change is thus paramount to reduce the risk of CDHEs.
Oceanic Rossby waves drive inter-annual predictability of net primary production in the central tropical Pacific
Authors: Brune Sebastian , Esther Caballero Espejo Maria , Marcolino Nielsen David , Li Hongmei , Ilyina Tatiana , Baehr Johanna 
Published: December 2021

Abstract
In the Pacific Ocean, off-equatorial Rossby waves (RWs), initiated by atmosphere-ocean interaction, modulate the inter-annual variability of the thermocline. In this study, we explore the resulting potential gain in predictability of central tropical Pacific primary production, which in this region strongly depends on the supply of macronutrients from below the thermocline. We use a decadal prediction system based on the Max Planck Institute Earth system model to demonstrate that for the time period 1998–2014 properly initialized RWs explain an increase in predictability of net primary productivity (NPP) in the off-equatorial central tropical Pacific. We show that, for up to 5 years in advance, predictability of NPP derived from the decadal prediction system is significantly larger than that derived from persistence alone, or an uninitialized historical simulation. The predicted signal can be explained by the following mechanism: off-equatorial RWs are initiated in the eastern Pacific and travel towards the central tropical Pacific on a time scale of 2–6 years. On their arrival the RWs modify the depths of both thermocline and nutricline, which is fundamental to the availability of nutrients in the euphotic layer. Local upwelling transports nutrients from below the nutricline into the euphotic zone, effectively transferring the RW signal to the near-surface ocean. While we show that skillful prediction of central off-equatorial tropical Pacific NPP is possible, we open the door for establishing predictive systems for food web and ecosystem services in that region.
The effect of curing on compressive strength of geo-polymer mortar made rice straw ash, fly ash, and laterite soil
Authors: Rangan P R , Irmawaty R , Tjaronge M W , Amiruddin A A , Bakri B , Tumpu M. 
Published: December 2021

Abstract
This study aims to analyze the effect of curing on the compressive strength of geopolymer mortar made from straw ash, fly ash and laterite soil. This research is experimental in the laboratory. Geopolymer mortar was produced using straw ash, fly ash and laterite soil with a percentage ratio of 16.67: 41.67: 41.67. The alkaline activator used is sodium hydroxide (NaOH) with a concentration of 12 M. The compressive strength test of 5 × 10 cm cylinders is used to evaluate the geopolymer mortar mixture produced at the age of 3, 7 and 28 days with curing, namely air and water curing. The results showed that the compressive strength of the geopolymer mortar increased along with the increasing age of each curing. The compressive strength values produced in air curing 3, 7 and 28 days were respectively 1.64 N/mm2, 1.72 N/mm2 and 3.22 N/mm2. While water curing, the resulting compressive strength values for each curing are 1.03 N/mm2, 1.63 N/mm2 and 1.68 N/mm2. At the ages of 3, 7 and 28 days, there was an increase in the compressive strength values from water curing to air curing, which were 0.37%, 5.23% and 47.82%, respectively. It can be seen that the compressive strength of the geopolymer mortar made from straw ash, fly ash and laterite soil in air curing is greater than that of water curing.
Relevant Indicators of Social Vulnerability during Response Phase Context of Flooding inTebingTinggi City, North Sumatra Indonesia
Authors: Harahap B A 
Published: December 2021

Abstract
Indicators to reflect vulnerability to flood vary among scholars. These variations tend to be developed primarily due to heavy dependency on the statistics data availability. Unless employing such predetermined indicators to assess the states of social vulnerability, scholars were less attracted to study what relevant indicators should be in assessing such social vulnerability. Apart from this gap, majority of the studies have overlooked the significance of time-frame contexts of flooding in determining the situation of social vulnerability. Consequently, many conducted the investigations without questioning the relevance of indicators in terms of time-frame contexts. This current study, accordingly, attempts to investigate relevant indicators of social vulnerability to flood with respect to response phase context. With the study area of Tebing Tinggi in North Sumatra, 76 indicators are tested using Likert scale of survey and Principal Components Analysis (PCA). As a result, 6 retained components produce 12 relevant indicators to reflect social vulnerability to flood during response phase; they are: Elderly, Female, Single parent families, Household or per capita income, Children, Poverty and deprivation, Dependency, Informal sector/day labourer, Slum dwellers, Male, Renters, and Unemployment.
Reduction of Gray Water and Run-off in a Residential Environment with Rain Garden Model (Case Study “Settlements in Makassar City”)
Authors: Makbul R , Desi N , Sudirman  
Published: December 2021

Abstract
Residential neighborhoods produce wastewater originating from soapy water, oil, and similar wastes which are included in the gray water category, as well as rainwater runoff from tiles and those that fall in the house, so the best way to consider is to install a water treatment system. integrated waste. The purpose of this study is to identify a Rain Garden model that is suitable for application in the residential areas of Makassar City. The method used is by identifying the suitability of the Rain Garden land, calculating the dimensions, and making the right Rain Garden model. From the results of the study it was concluded that the Rain Garden model for the reduction of gray water and rainwater runoff in the Makassar City residential environment was designed to have three cropping variations. Time to fill RG with the design of the design of Gray Water discharge reservoir and runoff discharge based on water loss in the residential environment. With a flow rate of V = 0.3 m3 / s, the depth of flow Y = l.2 m. Based on the relationship between the width and depth of flow at the best hydraulic section in rectangular shape, the channel bottom is B = 0.8 m, guard height (F) 30% Y=0.36 m. The effectiveness of household waste treatment and rainwater runoff using this Rain Garden model, for BOD = 102.8 mg / L (inlet) to 8.4 mg / L (outlet). The highest TSS value was 79 mg / L (inlet) to 8.3 mg / L (outlet). The highest detergent value was 59.84 mg / L (inlet) and showed the yield after processing was 1.25 mg / L (outlet). Treatment of gray water and rainwater runoff in residential environments is to reduce the volume of liquid waste that enters the city drainage system and create a sustainable urban sanitation ecology.
Ship building design of general cargo vessel using comparator ship method in port route of Jakarta-Makassar-Manokwari
Authors: Palippui H , Pairunan T 
Published: December 2021

AbstractMarine-based industrial development includes several sectors including Sea Transportation Services, Ferry Services, Capture Fisheries, Offshore Oil & Gas, Marine Biological Resources, Marine Tourism, and Energy Conversion, which in general both management and operations require supporting facilities, namely ships. with certain types that can serve these interests. During the current economic recovery period, there need to be concrete and more innovative steps that must be pursued by all parties, both government and private, in order to reduce the time needed to improve the state’s economic condition. Hence, the role of marine potential is very vital to be further developed in the future. The optimization results of the comparison ship obtained the main dimensions of the design vessel, namely: Lbp = 81.19 m, B = 15.00 m, T = 5.50 m, H = 7.00 m, Cb = 0.75, Cm = 0.99, Cw = 0.84 Cpv = 0.89, Cph = 0.76, Fb = 1.50 m, Fn = 0.22, Displacement = 5280.91 tons, Volume = 5131.583 m3, GRT = 3910 tons, Vs = 12 knots, Lwl = 83.22 m. This comparator ship method makes it easy for ship designers with accurate results.
The Development Strategies of Cocoa Cultivation (Theobroma cacao L.) in Soppeng District
Authors: Asrul L , Yulianti A , Musa Y , Trisnaputri AC 
Published: December 2021

Abstract
The development of cocoa cultivation is currently optimal in Soppeng Regency and is still experiencing problems or problems such as managing recommended cocoa plants due to limited knowledge of farmers, increasing pests and diseases caused by improper application of cultivation systems, and erratic seasonal changes., the condition of plants that are old or damaged, resulting in unproductive plants. These factors greatly affect the life and welfare of cocoa farmers. This study aims to identify factors that support farmers in developing cocoa cultivation in Soppeng Regency and analyze business strategies for developing cocoa cultivation at the farmer level in Soppeng Regency. The study showed that the Internal Factor Strategy Analysis Matrix (IFAS) for developing cocoa cultivation consisted of the highest strength factor in the appropriate agro-climate conditions, supportive natural resources and the experience and skills of farmers in cocoa farming. Meanwhile, the highest weakness factor is the application of cocoa management that is not according to recommendations. The External Factor Strategy Analysis Matrix (EFAS) measures the opportunity factor of local government support to make cocoa a leading commodity in the plantation sector and education and training through field schools. Meanwhile, the highest factor is the factor of pests and plant diseases. Based on the SWOT diagram analysis, the results obtained coordinates 0.67; 2,17, where these coordinates are in Quadrant I, which is an aggressive strategy, where this strategy can be used in developing cocoa cultivation in Soppeng Regency, namely utilizing the support provided by the government by increasing cocoa farming from upstream to downstream, doing extension and training in applying technology to farmers, creating demonstration plots based on agro-climatic conditions and available natural resources as training sites for cocoa farmers.