bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cauliflower Seedling Recognition Using Stereo Vision and K-Medoids Algorithm under Weedy Conditions
Authors: Ge Luzhen , Tan Yuzhi 
Published: September 2020

Abstract
The natural field environment is unstructured where the illumination conditions are uneven, the soil background is complex and changeable. Also, the improper of field management is likely to cause weeds whose colour and shape are similar to crops. Those factors make it hard to identify crops quickly and stably by traditional 2D image processing technologies. So the cauliflower seedling recognition method using binocular stereo vision and K-medoids was proposed in this paper. For the disparity map the Sum of Squared Differences (SSD) algorithm was used in the step of stereo matching. For the cauliflower seedling recognition the K-medoids algorithm was applied in the step of clustering. The experiment results showed that the average operation time of the SSD algorithm was 190ms. The real-time performance and matching effect of the SSD algorithm were superior to Belief Propagation algorithm (BP) and Dynamic Programming algorithm (DP). The average running time of the proposed method for processing the left image and its corresponding right images was 379ms, which meet the real-time requirements. The correct recognition rate of the method proposed was 98.75% of 240 pairs of cauliflower seedling images.
Design and Implementation of a Course Answering System Based on Error Correction and Trie Tree Language Model
Authors: Li Danyang , Zhao Yahui , Luo Mengjiang , Cui Rongyi 
Published: September 2020

Abstract
With the rapid growth of network information, the accuracy of input text affects the retrieval results, text proofreading technology emerges as the times require in order to avoid the situation of “wrong answers” caused by wrong questions when searching for information. In the course question answering system, we also need to consider the query speed and efficiency. In order to avoid the trouble of manual proofreading, this paper proposes a system which can automatically correct wrong questions in the professional field of curriculum. Firstly, used the edit distance method for fuzzy matching of error strings; then, used trie tree language model to store data to improve query efficiency. Finally, compared the proofreading effect under different text similarity thresholds, and selected the best value for the experiment. After experimental analysis and comparison, the best result is selected when the text similarity is 0.5, the accuracy rate is 77.91%, the recall rate is 67%, and the F value is 72.04%. Experiments show that the system designed in this paper can effectively correct the wrong text in the field of computer.
Function Design Optimization of Learning Management System (LMS) Based on Student Perspective—Case Study of Canvas Application University of Colorado Denver
Authors: Song Y N , Luan Z Q 
Published: September 2020

Abstract
As educational concept incorporates the computer science into the management methods, the innovative Learning Management Systems (LMS) have been extensively applied. This research is intended to ascertain the functional requirements derived in the course of LMS development by conducting the quantitative research of Canvas application (one of the representative LMSs) amidst the student users at the University of Colorado Denver. In light of the assessment of rationality and effectiveness towards current Canvas function settings, the findings reveal the predominant using purposes which include the integrated informational function, social networking function and customized learning function; and the study further indicate the practical recommendations in terms of the corresponding demands. The obtained results are supposed to be instrumental for the optimization and upgrade direction of LMS based on the purposes of improving learning motivation, learning efficiency, and learning outcomes.
Research on Cloud Platform Security Protection System for Power Plant
Authors: Yin Xinming , Guo Yi , Cao Zhiwei , Liu Han , Xiong Min 
Published: September 2020

Abstract
In the electric power industry, the information construction of IT systems is in an important period evolving to cloud computing technology and implementing digital transformation. The power cloud is a critical infrastructure for the digital construction in electric power companies. Cloud computing technology fundamentally introduces a flexible and dynamically allocated shared resource pool, and provides a way to share cloud resources different from traditional information systems, but it also brings new security risks and challenges. This paper analyses the security risks of the power cloud from the aspects of network security, host security, application security, data security, and management risks. The focus of research is on the construction of a security protection system for private cloud infrastructure in electric power companies. According to the business characteristics and important levels of business modules, the partition and domain protection design recommendations of the power cloud is proposed. An overall security protection architecture including three aspects of cloud platform self-security, cloud platform security services and cloud security operation management is presented. And specific key protection measures in the above three aspects are given, which has important guiding significance to electric power companies.
Interference Analysis Method Based on Link-Building Pattern in the Moving Non-geostationary Satellites
Authors: Yao Xiujuan , Gao Xiang , Zhi Jia , Yan Yi , Wang Jing 
Published: September 2020

Abstract
The frequency interference is becoming a serious problem because of the co-existence scenarios of Non-Geostationary orbit constellation systems. By studies the relative position of Non-Geostationary orbit satellites and ground stations, one interference analysis method was proposed to calculate the moving large amount satellites. This method classified the link-building status by logical operation between the interfering link and interfered link, constructed the link-building pattern, and optimized the calculation progress, thereby, improved the simulating efficiency. Considering the case of two single satellites like the flying DAMPE and HXMT satellites and two different constellation systems like the ITU-registered Oneweb and Telesat systems, a simulation scenario was established. The experiment results showed that this proposed method can improve the simulation efficiency higher than the full link simulation. That can be an adaptive technology for the interference calculation analysis of the Non-Geostationary orbit systems no more than 2000 satellites.
Design of a Narrowband Adaptable Filter in Low-Frequency Domain
Authors: Mao Weiwei , Gao Wei , Zhang Zhiguo , Jin Xiaoyu , Zhu Ru 
Published: September 2020

Abstract
To improve the Signal to Noise Ratio and the precision of data acquisition systems in the condition of broad bandwidth, an adaptive narrow-band filter circuit has been designed for obtaining weak signals in low-frequency domain. And the problems of classic filter circuits, such as wave form distortion and suffering from non-linearity of varactors, can be solved by the novel design in replacing varactor with voltage control capacitor. Simultaneously, by improving LRC filter circuit, our designs also can increase quality factor in traditional RC filter circuit. Therefore, this design has great advantages over classic filter circuits for its narrow frequency band, high quality factor and low signal deformation. The above properties of this circuit can make it used widely in removing noise for modulation and acquisition circuits with high precision, and can be used to obtain accurate band-pass filtering in low frequency bands, which has been verified by experiments showing superior advantages of improving the SNR and filtering effects.
Speech Dereverberation Based on Improved Wasserstein Generative Adversarial Networks
Authors: Rao Lufang , Yang Junmei 
Published: September 2020

Abstract
In reality, the sound we hear is not only disturbed by noise, but also the reverberant, whose effects are rarely taken into account. Recently, deep learning has shown great advantages in speech signal processing. But among the existing dereverberation approaches, very few methods apply deep learning at the waveform level. In addition, in the case of sever reverberation, the conventional speech dereverberation methods perform poorly, such as MCLP (multi-channel linear prediction). We proposed a new speech dereverberation method in this paper, which is based on improved WGAN (Wasserstein Generative Adversarial Networks), called WGAN-GP, whose generator uses strided-convolutional networks and the discriminator is structured on DNNs. Due to the addition of the gradient penalty item, WGAN-GP improves the stability of training and the generalization of the model. In the case of severe reverberation, according to the experimental results, the proposed system can perform better than MCLP. As the proposed method based on WAGN-GP can improve speech quality, speech signal processing systems may be able to apply it to pre-processing stage.
Encounter Delivery Strategy for Strongly Relational Relay Nodes in MSN
Authors: Zhang Zhiyu , Liu Bin , Xue Maojie 
Published: September 2020

Abstract
MSN has the characteristics of social network, and the nodes under intellectual consideration show social selfishness, which is characterized by kinship index. We propose an encounter delivery strategy based on strong-relationship relay nodes. Firstly, in the hierarchical communities and clusters based on the kinship index, the active strong relationship node set is obtained through the open strong relationship priority algorithm and Markov prediction. Then establish a kinship trust model, conduct behavior detection on active strong relationship nodes to obtain a comprehensive kinship trust value, and then screen out some of the “false kinship” nodes to screen out a set of trusted active strong relationship nodes. Finally, according to the kinship indication with the destination node, the node’s kinship movement behavior is predicted, and the candidate relay node set is selected. Simulation experiment results show that this strategy can improve the reliability of message transmission, reduce network delay, and improve the efficiency of data packet transmission to a certain extent.
A Social Governance Scheme Based on Blockchain
Authors: Wang Qianwen , Geng Fang , Zhang Pan , Chen Yibo , He Li , Cheng Sijin 
Published: September 2020

Abstract
Blockchain technology has the characteristics of distributedness, transparency, traceability, and openness. It is suitable for promoting the flatness of social governance structure and the transparency of governance and service processes, thereby improving the security of government social governance data, and promoting intelligent governance and Trustworthy government building. Blockchain combined with big data and artificial intelligence, cutting-edge technology, based on the principles of security, reliability, tamper resistance, anti-counterfeiting, and traceability, a new model of “blockchain + social governance” will be established. This article constructs a social governance scheme based on blockchain, the purpose of which is to solve problems in various areas of existing social governance with the help of the technical advantages of blockchain.
Research on the Construction of Cultural Tourism Market in Shenyang Based on Big Data
Authors: Xu Jiashu 
Published: September 2020

Abstract
In 2013, General secretary Xi Jinping proposed the strategic conception of building “the new Silk Road Economic Belt” and “the maritime Silk Road in twenty-first Century”. As the core city one belt, one road and one road in Shenyang will play a decisive role. This paper focuses on the construction background of “One Belt, One Road”, explores the development of Shenyang cultural tourism market under the background of “Belt and Road”. The article studies the development status of Shenyang cultural tourism market, and then analyzes the development and construction of Shenyang cultural tourism market “One Belt One Road”. The main research method of this paper is big data analysis. Combined with a large number of data, this paper makes a consumer portrait of Shenyang cultural tourism market, aiming to study the regional tourism consumer behavior. This paper gives Construction and research to provide advice and suggestions for regional economic development.
An Automatic Question Answering Method for Small-Scale Corpus
Authors: Shao Yikang , Xu Guangde , Xu Mingxue , Dong Lanfang 
Published: September 2020

Abstract
It is a growing trend for automatic question answering system to be prominent in the development process of society. There are many methods trying to address this problem, but with deficiencies—relatively developed methods based on template matching need a lot of manual work writing templates, and machine learning based methods need plenty of work collecting a large number of corpus, bring huge burden on small-scale scenery. Facing these problems, we propose an automatic question answering methods meeting the needs of small-scale corpus. This method consists of combining an improved text similarity calculation algorithm and an intention recognition method based on slot filling. We conduct experiments on the problem sets of related fields, and it shows a good performance of the proposed automatic question answering method. Our methods make small scene applications for dialog systems more practical.
Crosslinking strategies for silk fibroin hydrogels: promising biomedical materials
Authors: Farokhi Maryam , Aleemardani Mina , Solouk Atefeh , Mirzadeh Hamid , Teuschl Andreas Herbert , Redl Heinz 
Published: September 2020

Abstract
Due to their strong biomimetic potential, silk fibroin (SF) hydrogels are impressive candidates for tissue engineering, due to their tunable mechanical properties, biocompatibility, low immunotoxicity, controllable biodegradability, and a remarkable capacity for biomaterial modification and the realization of a specific molecular structure. The fundamental chemical and physical structure of SF allows its structure to be altered using various crosslinking strategies. The established crosslinking methods enable the formation of three-dimensional (3D) networks under physiological conditions. There are different chemical and physical crosslinking mechanisms available for the generation of SF hydrogels (SFHs). These methods, either chemical or physical, change the structure of SF and improve its mechanical stability, although each method has its advantages and disadvantages. While chemical crosslinking agents guarantee the mechanical strength of SFH through the generation of covalent bonds, they could cause some toxicity, and their usage is not compatible with a cell-friendly technology. On the other hand, physical crosslinking approaches have been implemented in the absence of chemical solvents by the induction of β-sheet conformation in the SF structure. Unfortunately, it is not easy to control the shape and properties of SFHs when using this method. The current review discusses the different crosslinking mechanisms of SFH in detail, in order to support the development of engineered SFHs for biomedical applications.
Overlooked organic vapor emissions from thawing Arctic permafrost
Authors: Li Haiyan , Väliranta Minna , Mäki Mari , Kohl Lukas , Sannel A Britta K , Pumpanen Jukka , Koskinen Markku , Bäck Jaana , Bianchi Federico 
Published: September 2020

Abstract
Volatile organic compounds (VOCs) play an essential role in climate change and air pollution by modulating tropospheric oxidation capacity and providing precursors for ozone and aerosol formation. Arctic permafrost buries large quantities of frozen soil carbon, which could be released as VOCs with permafrost thawing or collapsing as a consequence of global warming. However, due to the lack of reported studies in this field and the limited capability of the conventional measurement techniques, it is poorly understood how much VOCs could be emitted from thawing permafrost and the chemical speciation of the released VOCs. Here we apply a Vocus proton-transfer-reaction time-of-flight mass spectrometer (PTR-TOF) in laboratory incubations for the first time to examine the release of VOCs from thawing permafrost peatland soils sampled from Finnish Lapland. The warming-induced rapid VOC emissions from the thawing soils were mainly attributed to the direct release of old, trapped gases from the permafrost. The average VOC fluxes from thawing permafrost were four times as high as those from the active layer (the top layer of soil in permafrost terrain). The emissions of less volatile compounds, i.e. sesquiterpenes and diterpenes, increased substantially with rising temperatures. Results in this study demonstrate the potential for substantive VOC releases from thawing permafrost. We anticipate that future global warming could stimulate VOC emissions from the Arctic permafrost, which may significantly influence the Arctic atmospheric chemistry and climate change.
Study on the characteristics of gas-generating reservoir-caprock assemblages and gas traps in coal measures in Fuxin Basin
Authors: Song Kailin , Yao Lei 
Published: September 2020

Abstract
As an unconventional natural gas reservoir, sand body gas has unique characteristics. The paper takes Fuxin Basin as the research object and carries out systematic research on the characteristics of sand gas generation reservoir cap combination. The main controlling factors are analyzed for the trap characteristics of the sand gas reservoir in the main formation. The results show that there are two types of gas source rocks in Fuxin Basin, namely, dispersed organic matter and concentrated organic matter reservoirs, which are mainly composed of two sets of strata. The first set is the lower channel sand bodies of the Fuxin Formation, and the second set is the third member of Shahejie Formation, The second alluvial fan-fan delta sand body. The caprock of Fuxin Formation is mudstone and siltstone in the middle and upper part of this group. The cover layer of Shahai Formation is mudstone and siltstone in the fourth member of Shahe Formation, with dense and uniform development in the whole area and stable sedimentation. Sand gas traps in Fuxin Basin are mainly controlled by two types of traps: structural traps and lithologic traps.
Application of Stress Analysis Software in Oil and Gas Pipeline
Authors: Li Bowen , Li Xinhang , Miao Yubin , Yang Hao 
Published: September 2020

Abstract
With the rapid development of China’s national economy, the development of the petrochemical industry is particularly rapid, high-temperature and high-pressure pipelines are widely used in the oil and gas storage and operation industries. The design level becomes the key to measuring whether a design unit can win in the fierce market competition, and one of the core technologies is the stress analysis of the pressure pipeline. CAESAR II pipeline stress analysis software is more popular in the international one of pipe stress analysis software. Its data input is simple and the graphic display is intuitive, which is easy for beginners to master, but also has a strong engineering practicality. This article will discuss the advantages and problems of CAESARII stress analysis software in practical applications, and use examples to perform relevant analysis.
Optimizing coal burning caused by coal breaking in recirculating vulcanization bed unit based on fuel control strategy
Authors: Fang Zhang , Li Zhang 
Published: September 2020

Abstract
Recirculating fluidized bed has high efficiency, low pollution and good coal adaptability. It can burn all kinds of quality fuels, such as peat, bituminous coal (including high sulfur coal), anthracite, gangue, coke, industrial waste, municipal waste, etc. Direct addition of desulfurizer such as limestone in the bed results in small investment and high desulfurization efficiency. International and domestic circulating vulcanization bed has entered the stage of large-scale and commercial production. Recirculating fluidized bed combustion is a new technology. The burning mode of special coal in boiler structure is essentially different from that of pulverized coal furnace. There is a certain gap in domestic installation technology compared with pulverized coal furnace. It is easy to cause coal cut-off in operation of circulating fluidized bed forming unit. The occurrence of coal cut-off is easy to cause bias burning and unbalanced combustion of boiler. In serious cases, MFT action of boiler will be triggered. Therefore, it is necessary to optimize the existing fuel control strategy to prevent coal burning caused by coal breaking in the circulating vulcanization bed unit.
Safety Assessment of High Holtage Transmission Foundation in Goaf of Coal Mine
Authors: He Nainan , Hu Dingkang , Gao Jingxuan 
Published: September 2020

Abstract
Coal mine goaf is a poor construction site with hidden, complex, large surface deformation range and easy to cause geological disasters, which is very harmful to the construction of ground engineering. Therefore, the stability of the goaf site is a prerequisite for the stability of the structure and should be evaluated before construction. Based on the topic of “stability evaluation of the goaf base of 330kV shen-dang I and II line connecting jinjie transformer transmission line project”, this paper conducts a special investigation and evaluation of the transmission line through jinjie coal mine goaf in shenmu city. In the huge collection of the mining area of the regional geological and mineral constructed over the report, the coal geological exploration and mining design, on the basis of such information to goaf Kentucky lines (C14~C17) actual investigation, geological survey, engineering survey, engineering geophysical exploration (tem), find out the preliminary Kentucky goaf site engineering geological condition, hydrogeological condition, the coal mined-out area distribution and its characteristics, etc. The stability of the ground foundation site was qualitatively evaluated by the mining condition discriminant method (taking the mined-out area final mining time, roof lithology and the thickness of loose bed as factors), and the evaluation results showed that the site was in a basically stable state. Secondly, the numerical analysis method was used to calculate and analyze the surface movement and deformation of the mined-out area of the base. The stability of the mined-out area of the base was evaluated quantitatively. The results showed that the mined-out area of the base was in a basically stable state, which was consistent with the qualitative judgment. The research results have some reference value for other surface engineering construction and geological disaster prevention in jinjie coal mine of shenmu city.