bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Information System Risk Analysis and Security Situation Assessment Method
Authors: Wang Sheng , Zhang LinHao , Zhang Jie , Tang Yong , Liang YunHui
Published: February 2021

Enterprise information system is the fundamental guarantee and important means of enterprise production and management, the security of the information system is the foundation of the stable and reliable operation of the information system. In order to improve the security and anti-risk ability of the information system, it analyzes the possible risks of the information system and gives an assessment of the security situation of the information system. When there is a risk, it will provide security situation assessment and early warning to avoid unnecessary losses and risks.
Application of improved CNN in SAR image noise reduction
Authors: Lu Li , Zhang Ganchun , Nie Ying , Liu Jiayi , fang Yibiao , Zhang Guoling , Wu Yahui
Published: February 2021

Aiming at the problem of coherent speckle noise in SAR image processing, this paper improves the network based on the convolutional neural network method, adjusts the hierarchical relationship in the network hierarchy, and introduces the principles of batch normalization and residual network to eliminate. The gradient disappears when the network level is too deep. The loss function is improved by using multiple convolution kernels of different sizes which are used to extract a variety of different levels of feature information. Finally, based on the peak signal-to-noise ratio (PSNR) and edge index two parameters, the experimental comparison with PPB, SAR-BM3D and NL-SAR three types of denoising methods, The experimental results show that the SAR image generated by the improved CNN network can better achieve despeckle and denoising, and the edges of the image are kept intact.
Design of bus temperature measurement system based on OFDM multi-carrier modulation
Authors: Jiang Qingyang , Ding Yunguang , Jia Yunfei
Published: February 2021

In order to meet the requirements of multi-measurement nodes and high temperature resistance, this project draws extensive experience from relevant industries based on the relevant requirements. A bus temperature measurement system based on two-bus technology is developed. The system is based on two buses and combines OFDM technology to modulate signals on carriers with different frequencies. Through parallel transmission, the original signal is demodulated using differential coherent demodulation. The simulation results show that the system can effectively deal with channel signal interference.
Research on the Practical value of intelligent tax control technology in tax planning of flexible employment industry - Take The YouZhongLeHuo Platform as an example
Authors: Yuan Cheng , Li Zengyao , Zhou Yang , Zhou Ziming
Published: February 2021

Relying on Internet technology and the progress of financial technology development, derived “smart tax-controlled” technology solving the shortcomings of the traditional fiscal and tax payment process, together around the national tax system reform, the paper aims at labor-intensive enterprise employee structural contradictions and risks, to help to achieve flexible employment enterprise itself during the tax reduction, reduce the risk of employment, promote the personal salary income, stimulate the labor market balance between supply and demand of human resources, and drive the improvement of labor employment, economic flexible employment.
Artificial Intelligence Aided Course Scheduling System
Authors: Huang Minchuan , Huang Hsianglin , Chen Iping , Chen Ke , Wang Aiguo
Published: February 2021

College and department courses are broad, elegant and diversified. The demand for interdisciplinary elective courses is increasing, and the teaching management work is becoming increasingly heavy. Therefore, the administrative work of arranging and adjusting courses cannot be increased. We should carry out reform according to the actual difficulties. In the preliminary study of different educational administration work between colleges, the action research case study was started. This paper discusses how to apply the thinking of software engineering in educational administration system, innovate the current operation procedure, find out the solution, and realize the Artificial Intelligence Aided course scheduling system. This paper discusses the difficulties and difficulties of the current course scheduling system, and designs the new core principle and algorithm. Based on the problems collected by action research, the entity relationship between system analysis and system design is discussed, and the correct relation diagram is drawn to realize the function module of system design. After discussion, the group decided to adopt browser / server mode architecture, run the prototype of Artificial Intelligence Aided course scheduling system, and gradually test and eliminate problems, so as to realize the feasibility of the system and share the successful experience.
A path optimization algorithm based on multi-objective monitoring scenario analysis for UAV
Authors: Wang Xi , OuYang Chengtian , Shao Xiangling , Xu Hui
Published: February 2021

The path planning of UAV monitoring task was used to a case study, a path optimization algorithm based on multi-objective monitoring scenario analysis for UAV was proposed. In the proposed algorithm, the UAV multi-objective task monitoring scenario was analyzed and modeled, Markov decision-making process model was established by model checking tool prism, two different sub-algorithms for MPOA_LRTP and MPOA_RR were provided to verify and analyze the model of UAV multi-objective task monitoring scenario. Compared MPOA_LRTP and MPOA_RR, the results of formal verification show that MPOA_LRTP with eight direction selecting was an effective way to complete the monitoring task for UAV, it spent shorter time and had higher efficiency, and the probability of completing the task in a certain time was greater. Besides, the smaller the workload and the less fatigue of the operator, the better the system performance and the higher the efficiency of completing the task.
Research on the Pricing of Chinese Artwork Based on Unascertained Measure and GM (1, N) Model
Authors: Tang Dongping , Chen Hongqian , Zhang Ziyi
Published: February 2021

The Chinese art market has developed rapidly in recent years, but the problem of fuzzy and irregular art pricing has always perplexed the participants in the art market. This article proposes a new idea of dividing the influence factors of artworks according to the static and dynamic dimensions, so as to study the attributes and external factors of artworks and analyse the causes of price fluctuations of artworks better. The pricing model proposed in this paper applies the Unascertained Measure Model to the comprehensive evaluation of static attributes of artworks. In addition, the GM (1, N) Model is constructed by combining the static attribute comprehensive evaluation score with other dynamic influencing factors, so that the model has the characteristics of qualitative and quantitative combination, scientific and objective. Finally, this paper proves the validity of the model through empirical research.
Target Birth Intensity Estimation in Dense Clutter
Authors: Yujie Jiang , Xiaoxiao Jiang
Published: February 2021

In order to solve the problem of unknown target birth intensity in multi-target tracking, an improved GM-PHD filtering algorithm based on virtual track is proposed. According to the measurement set in the monitoring area, the virtual tracks of the birth targets are established by using the motion model of the targets. The false tracks modeled by the clutter are eliminated by PHD filter, and the states of the birth targets are extracted. The simulation results show that the algorithm performs well in dense clutter environment.
The check-bits-weight-adjustable scheme of rate compatible modulation based on the systematic Polar code
Authors: Peng Bin , Liu Wei , Zhu Jinkun
Published: February 2021

Rate compatible modulation is a novel adaptive transmission technology that does not require channel state information feedback, can achieve rate adaptive adjustment, and smoothly approach channel capacity. However, due to the nature of incremental decoding, the decoding complexity is too high and the transmission performance is reduced under bad channel conditions. Based on the feature of the systematic Polar code that separates the information bits and the check bits, this paper optimizes the design of the hybrid cascade of the systematic Polar code and rate-compatible modulation, and proposes a feasible scheme for adjusting the corresponding weight of check bits. The simulation results show that the proposed scheme can achieve better transmission performance in a wider range of signal-to-noise ratio with relatively lower decoding overhead.
Conceptual framework of intelligent decision support based on user digital life traces and ontology-based user categorisation
Authors: Levashova T V , Smirnov A V , Pashkin M P , Ponomarev A V
Published: February 2021

The paper presents conceptual framework and information model of intelligent decision support based on traces of user digital lives and ontology-based user categorisation. The conceptual framework defines components that provide information revealed from the traces of user digital lives, generalize this information, and make ontology inference. The information model defines information flows between the components of the conceptual framework. The novelties of this research are grouping users with common preferences and decision making behaviours based on the user digital traces, and context-sensitive ontology-based categorization of users into the user groups.
An algorithm for labels aggregation in taxonomy-based crowd-labeling
Authors: Ponomarev A , Levashova T , Mustafin N
Published: February 2021

Crowdsourcing provides a convenient solution for many information processing problems that are still hard or even intractable by modern AI techniques, but are relatively simple for many people. However, complete crowdsourcing solution cannot go by without a quality control mechanisms, as the results received from participants are not always reliable. The paper considers taxonomy-based crowd-labeling - a form of crowdsourcing, in which participants label objects with tags, and there exists an explicit taxonomy relation on the set of tags. We propose a method and an algorithm for label aggregation, allowing to estimate the likelihood of the true object label from a set of noisy labels received from the crowd, and to estimate the expected crowd members’ accuracy. The proposed method and algorithm can be used in a wide range of crowd-labeling applications (e.g., classification of scientific literature collections, software repositories, etc.).
An approach to the development of decision support systems with knowledge-driven automated service composition
Authors: Mustafin N , Ponomarev A , Kopylov P
Published: February 2021

The development of a decision support system typically requires a significant effort from both domain modelling and technical perspectives. The paper proposes an approach for reducing the complexity of decision support system development leveraging automated service composition. The rationale behind the approach is that today many software systems (including decision support systems) are based on service-oriented architecture and to some extent the development of such systems can be represented as building composition of services satisfying the specified requirements. The problem of building such compositions can be successfully addressed by automated planning algorithms. Particularly, the paper presents the functional framework of decision support systems, requirements analysis for configurable service-oriented decision support systems and their main components, and a conceptual model of a configurable service-oriented decision support system.
Using UML class diagrams for content ontology design patterns engineering
Authors: Dorodnykh N O , Nikolaychuk O A , Yurin A Y
Published: February 2021

The paper presents a method for Ontology Design Patterns (ODP) engineering based on the transformation of conceptual models serialized in the XML-like formats. In this paper, we use UML class diagrams as the source of conceptual models. The method includes the following activities: design and serialization of a source conceptual domain model; analysis and transformation of an XML structure of a source conceptual model to an ontological schema model; transformation of an ontological schema model to a content ODP code in the OWL 2 DL format; verification and modification of obtained content ODPs by domain experts. All transformations are implemented with the use of original domain-specific language, namely, Transformation Model Representation Language (TMRL). The proposed method is used for ODPs engineering in tasks of industrial safety inspection of technical systems. Obtained ODPs can be used for knowledge bases and intelligent systems engineering.
Technical means for determining the load of working enforcers of agricultural machines
Authors: Rogachev A F
Published: February 2021

The characteristics of a machine-tractor unit are determined by the indicators of the traction resistance of an agricultural machine, which require an experimental determination. The disadvantages of the known devices that provide measurements during volumetric dynamometry of the working enforcers of tillage machines are the complexity of the design and high measurement error. To improve the accuracy of experimental measurements of the dynamic loading of the working bodies of tillage machines, it is necessary to improve the technical means of measurement. Experimental determination of the loading of working bodies requires the use of a system of force sensors that affect the working bodies in different planes. Force sensors are manufactured mainly using strain gauges that are glued directly to the loaded parts. To determine the forces in the traction of the hydraulic suspension system of tractors, strain gauge fingers are used. It is shown that for the same distances of the sensors, the resulting signal does not depend on the distance of the force applied on the finger axis. Usually, force sensors are calibrated one at a time on special stands. The best calibration results will be achieved when all tenzometric fingers are installed in their proper places and all sensors are calibrated simultaneously. To do this, the intermediate plate is fixed using strain fingers on the levers of the tractor hydraulic suspension. Rymbolts are installed on the plate, to which a known force is applied three times and the readings of each of the strain fingers are taken. Solving the resulting system of equations, simultaneously find all the calibration coefficients. Additionally, a device is proposed, the kinematic scheme of which allows using a single measuring device, which simplifies the technology of measuring the force on the working body and increases its accuracy.
Trends in socio-technological impact of information technologies on the discourse of healthcare actors
Authors: Tokareva Yu M , Chizhova V M , Kardash O I , Gavrilova I S , Varavkina Y
Published: February 2021

The integration process of information technologies and medicine has led to the formation of cyberspace. As a result of the research, the factors of positive and negative socio-technological impact of information technologies on the discourse of health care actors were identified. Positive impact factors include the possibility of continuing medical education, reduced time spent on virtual consultations, the possibility of creating social networks, communication, and the availability of specialized medical information to patients. Negative impact factors: the problem of self-diagnosis and self-treatment, the possibility of patients receiving incorrect information on the Internet, ineffective diagnostics in virtual consultation, and patients’ distrust of the health care system.
Neural network classifiers with descriptors obtained on the basis of analysis of the system rhythms in intellectual prediction systems for non-hospital pneumonia
Authors: Myasnyankin M B , Kuzmin A A , Filist S A
Published: February 2021

The description of the synthesis of the risk classifier of non-hospital (community-acquired) pneumonia based on predictors is presented in the article. Predictors are compiled by analyzing the synchronicity of the systemic rhythms of the cardiovascular system and the respiratory system. Spectr of cardiac signals and wavelet coefficients of cardiac signals are used as sources of systemic rhythms. An algorithm for classifying the risk of community-acquired pneumonia in terms of synchronicity of system rhythms is proposed in the article.
Harmonic Testing Analysis of Light Emitting Diode (LED) Lamps based SNI IEC 61000-3-2 Standard
Authors: Wibowo R , Suryadi  , Priambodo P S
Published: February 2021

The use of LED lamps in Indonesia has increased since 2013 because of low power consumption and high efficiency. LED lamps are non-linear loads that cause harmonic distortion in the electric power system. Harmonic distortion can impact to overheating in magnetic core electrical equipment. Therefore, it is necessary to standardize the limits of the harmonic emission limits of LED lamps. In this study, the harmonics measurements of LED lamps of 22 samples from 10 brands, which include different types of EMI filters in the LED drivers, are carried out to analyze harmonic currents. Measurements in this study conducted using Teseq ProfLine 2105. The results of parameter testing of third and fifth-order harmonic currents, peak current phase angle, beginning current flow at 60 degrees, and end current at 90 degrees were analyze based on the criteria for class C SNI IEC 61000-3-2 standard. The results showed that the three samples used EMI filter inductor in the LED driver can minimize third-order harmonic currents and comply with all parameters.
Implementation of Machine Learning for Sentiment Analysis of Social and Political Orientation in Pekanbaru City
Authors: Indra Zul , Setiawan Azhari , Jusman Yessi
Published: February 2021

Nowadays, people are free to express their opinions regarding a problem in online social networks. One of most popular social network used to express opinions is Twitter. Public opinion in online social network has become a new source of big data that is interesting to be investigated. Opinion expressed by the public through social media is valuable data that can be further processed by using natural language processing (NLP). This research is expected to explain the social, economic, and political orientation of the people of Pekanbaru city by utilizing NLP algorithm. In addition, in terms of data sources, similar research is dominated by national studies, a little local. This research used Sentiment Analysis of Natural Language Processing (NLP) algorithm to analyze Pekanbaru citizen’s views and perceptions about social and political issues. The methods consist of: (i) data collection, (ii) data preprocessing, and (iii) sentiment classification. Thousands of tweets were extracted from Twitter API platform as research samples. As a result, the research has obtained 833 tweets about social orientation and 156 tweets about political trends. Overall, our tweets mined data were dominated with positive sentiments (53%). Education was the topic with most positive sentiments (42%) while political figure was the topic with most neutral sentiments (65%) and environment was the topic with most negative sentiments (56%). Regarding the discourses, “sampah” (garbage, waste, trash, etc) was the most posted and discussed in Twitter along with floods and air pollution topics.
Design documentation quality influential variables in the construction sector
Authors: Agbaxode Peter , Dlamini Sitsabo , Saghatforoush Ehsan
Published: February 2021

There are numerous studies on design documentation variables without efforts to evaluate their level of importance. Therefore, the aim of this study is to evaluate the significance of these variables towards improving design documentation quality. A questionnaire survey to identify the significance of key quality variables was carried out. A total of 139 variables on design documentation quality were used. The mean score and Standard deviation of each factor were used to determine the level of significance. Based on responses from 112 construction industry players, the significance of each variable is determined. Design documentation is fit for purpose was considered highly important as an attribute while Inadequate and Insufficient documentation was ranked highest for quality influential factors. The findings will provide valuable data to stakeholders, researchers, and academics and will help enhance project performance because professionals will be aware of key factors that can influence design documentation quality. It will also aid in providing solution to sustainable infrastructure design and delivery challenges in the industry. The study offers a pragmatic data and empirical evidence to expand knowledge on design documentation quality. It is the first of its kind that explored the significance of design documentation quality variables based on the outcome of a meta-synthesis.
The fourth industrial revolution (4thIR) and the construction industry - the role of data sharing and assemblage
Authors: Ayodele T O , Kajimo-Shakantu K
Published: February 2021

The technological shift over the last half-century has been termed the fourth industrial revolution (4thIR). Underpinning this digital innovation is the increasing need for data sharing and assemblage in the construction industry. The study seeks to explore the nexus between data sharing and assemblage in the industry and the 4thIR. This paper adopts a desk-based study approach and review of secondary literature on the role of data in the drive for automation in the construction industry, challenges to data assemblage, and benefits of data sharing to stakeholders. The study reveals that factors that serve as debacles to data sharing/assemblage include: unstructured nature of data, silo operation, confidentiality issues and motives of personal benefits. However, a major advantage of data sharing is the benefit of increased digital and technological compliance in the industry. The study is part of ongoing empirical research. Hence, the findings are an aggregation of perspectives/submissions from extant studies. This study presents the first attempts at exploring the preparedness of the construction industry for the 4thIR from the perspective of data and information needs of the industry.
Effective quality management strategies for enhancing the success rate of indigenous construction SMEs in construction project delivery
Authors: Sogaxa Athenkosi , Simpeh Eric , Fapohunda Julius
Published: February 2021

The purpose of this study is to develop effective quality management modalities that could be adopted by construction SMEs to achieve sustainable construction project success. A questionnaire was distributed to SMEs management team in the general building category registered under CIDB grade 1 – 4. To validate the questionnaire survey, interviews were conducted among purposively selected contractors who took part in the survey. The data was analysed using descriptive statistics and content analysis. The findings revealed the most significant effective quality management practices for SMEs to promote sustainable success as clear working drawings, time to time request for quality inspection, effective implementation of total quality management and benchmarking for quality management. It should be noted that the quantitative findings were consistent with the qualitative findings. This paper focuses on SME contractors with CIDB grading between 1 and 4 who are registered in the Eastern Cape province. The results obtained from this paper could be adopted as a quality management tool for construction SMEs to achieve sustainable construction project success. This study is based on SMEs effective quality management strategies and provides more comprehensive effective quality management practices that could be adopted by construction SMEs.
Quantity Surveyors Role in the Construction Health and Safety Management in Nigeria
Authors: Anugwo IC , Okorie VN
Published: February 2021

The issues of adequate implementation of construction Health and Safety (H&S) good practice during project tendering and execution stages has not attracted needed attention by the quantity surveyors (QS). This study assessed the roles of Quantity Surveyors (QS) to foster construction H&S good practice. This study adopted a research mixed method, a sample of hundred and fifty (150) questionnaires distributed among professional registered QS within the South-West Nigeria, and only seventy (70) were completed, and valid and this resulted in a response rate of 47%. In addition, an in-depth interviews amongst five-selected Registered Member Nigerian Institute of Quantity Surveyors. The interviews assisted the researcher to gain insights of respondents’ perceptions, and to validate the questionnaire results. The study findings suggested that the Quantity Surveyors lacks the earnest commitment and leadership inputs to foster financial provision for H&S items in the bills of quantities. The study findings further revealed that QS play little or no significant role to advice or select the contractors with H&S competencies during tendering stage. Thus, if the QS would play active leadership role in integrating of H&S cost items in bill of quantities it will significantly promote construction H&S good practice in Nigerian construction industry.
Lack of implementing Building Information Modelling in the quantity surveying profession
Authors: Gilchrist C R , Cumberlege R , Allen C
Published: February 2021

Quantity surveyors possess an inherent traditionalism when it comes to Building Information Modelling (BIM), preferring to follow current trends and methods rather than taking a proactive approach towards its implementation. This implicates that there is still a lack of understanding of the potential uses and benefits that BIM software will provide the profession. Within this context, the purpose of the research was to determine the reasons why professional quantity surveyors (PrQS) are not utilising BIM to improve their day-to-day tasks and functions. To conduct the research, a qualitative study was carried out using semi-structured interviews with PrQSs from various QS firms situated in Port Elizabeth. This method of data collection allowed for a more in-depth understanding of why these professionals are not utilising BIM in Port Elizabeth. The research investigated the reasons behind these PrQSs not utilising BIM to improve current methods of managing construction costs on projects. The results revealed that there are challenges that QSs face in the construction industry in terms of their working methods. The results also identified the potential of BIM to help mitigate these challenges with interviewees mentioning several benefits that the BIM software will provide for the QS. Despite BIM’s potential in the QS profession, the results showed that there are still several barriers holding professionals back, the most prominent being the lack of senior leadership support, knowledge of BIM, a lack of full team integration and the cost of implementing BIM. The main limitation of the study was that the number of responses was limited due to the fact that very few quantity surveyors were experienced in, or, had knowledge about BIM. As degrees of regional sentiment, and industry development also had influence on participants’ answers, the findings may not be suitable or be generalised to other provinces in South Africa. The findings will assist all stakeholders in the QS profession, as they will be more informed about potential benefits and challenges to BIM implementation, which will provide them with greater knowledge of how it works and precisely what it is capable of doing.
Insight into the millennial mind-set: Impact of 4IR and Society 5.0 on the real estate, construction and other industries
Authors: Cook L L
Published: February 2021

The exponential adaption rate of new 4IR technology brings about challenges generally experienced as complex and even threatening by real estate and construction industry practitioners. Now faced with Society 5.0 in which people’s lives are made more comfortable and sustainable by continuously creating new tech driven services and value adds, seasoned practitioners may feel overwhelmed as fringe disciplines encroach on their domain with tech savvy “smart” solutions. The millennial mind-set of practicality, optimism, and confidence could aid our industries in addressing the burning issues we presently face with an underperforming sector due to general economic downturn, further fuelled by COVID-19.
The influence of sustainable features on liquidity of houses in the Czech Republic
Authors: Jandaskova T , Hrdlicka T , Komosna M
Published: February 2021

The construction industry has a significant impact on the environment, and it especially affects the level of greenhouse gases. It also reduces the greenhouse gases through constructing and operating sustainable buildings. Sustainable buildings include buildings that meet basic sustainable principles, namely environmental, social, and economic. Sustainable buildings are very often associated with certified buildings (LEED, BREEAM). However, sustainable buildings do not have to be certified to fulfill the idea of sustainability. The question is, how much does sustainability affect the selling prices of houses. A database of 570 sold houses in the district of Brno – venkov in the period of years 2017 - 2019 was compiled. It was found that 5.6% of the houses featured some sustainable aspects, such as heat recovery systems, natural construction materials and all alternative technologies. The factors of liquidity were considered and evaluated. In case of the sustainable houses 3.0 % higher ΔP (difference between asking and market price) was detected. Influence on time on the market was not proven. Based on ANOVA analysis, the impact of sustainable features of houses on the selling prices was not found. Analysis was carried out by a semi-database of 122 houses sold in the year 2017.
Cross-border Cooperation in the Field of Investment Activity with Regional Development Implications
Authors: Vaňková L , Kocourková G , Krejza Z
Published: February 2021

The article focuses on the issue of cross-border cooperation in the field of investment activity and its impact on the sustainable regional development. In particular, subsidy funds of the European Union are closely linked to regional development. This article covers the research of mapping the situation of cross-border cooperation of the territory of interest, which is partly formed by the South Moravian Region in the Czech Republic and partly by the Trnava and Bratislava Regions in the Slovak Republic. This area comprises 43 municipalities in the Czech Republic and 70 municipalities in the Slovak Republic. The questionnaire survey carried out showed that cross-border cooperation is more applied in the Czech Republic, while the Slovak Republic is more sceptical about the cross-border cooperation projects. Based on the evaluation of the questionnaires, a specific investment project was chosen between the municipalities of Mikulčice and Kopčany, which was financed through the European Regional Development Fund, specifically the Interreg V-A programme the Slovak Republic – Czech Republic. Analysis of the current state of financing was carried out for this project with proposals of possible other financing options. At the end of the article, the impact of the project on the sustainable development of border regions is evaluated.
Estimation of NOx emissions from the combustion chamber of heavy-duty gas turbines
Authors: Zhao Qiaonan , Wang Guofeng , Zhang Haonan , Xu Youning , Yang Shuo
Published: February 2021

In order to study the estimation of NOx emission, numerical optimization and data fitting methods are used to study the NOx emission law of the combustion chamber of heavy-duty gas turbines. The inlet pressure Pin, air mass flow ma, and average temperature in the combustion zone Tpz are used for the fitting of NOx emission estimation formula under the multi-parameter impact. The results show that this is a fast and effective research method for the estimation of NOx emissions in the combustion chamber under the condition of ensuring the accuracy, which can obtain the NOx emission far below the average level under the condition of optimal inlet pressure.
Experimental study on the static formation characteristics of carbon dioxide hydrate
Authors: Sun Yuanjiang , Gao Yuan , Liu Lei
Published: February 2021

As the most important greenhouse gas affecting the ecological environment, carbon dioxide is converted into oil, and the large-scale use of primary energy such as coal is increasing. The use of hydrate technology to store carbon dioxide on the seabed is an effective way to reduce the carbon dioxide content in the atmosphere. A set of hydrate formation experiment equipment was developed in this paper to simulate the environment of seabed porous media sediments, and CO2 hydrate was used as the research object to conduct experimental research on hydrate formation characteristics, and to analyze the influence of initial pressure and reaction temperature on the hydrate reaction process. Through a large number of experimental studies, this article mainly obtains the following results: (1) The process of CO2 hydrate formation is an exothermic reaction. As the initial pressure of the system increases or the reaction temperature decreases, the more heat will be released when hydrate is formed in the kettle, and the peak temperature will naturally be higher. (2) The lower the reaction temperature or the increase in initial pressure, the greater the amount of CO2 hydrate formation.
Study on the architectural layout of urban settlements in cold regions based on climate and environmental impact factors
Authors: Dong Junyan , Fu Yupi , Li Kechao , Zheng Bomin , Qu Jichen
Published: February 2021

The outdoor wind environment has a significant impact on the climate of cold-weather cities, and it has been shown that building layout has a significant correlation with the climate environment. This paper takes Changchun, a cold-land city in the northeast of China, as an example to study the correlation between the existing building layout and the wind environment in a cold-land city based on its special climate environment, uses computational fluid dynamics (CFD) simulation technology to analyze the influence of different building layouts on the external wind environment in a cold-land city, explores the building layout mode suitable for a cold-land city based on the obvious characteristics of the climate monsoonal changes, and puts forward certain optimization methods and reference suggestions for city construction.
The OPAHs from hemicellulose pyrolysis tar at different temperature characterization via GC-MS and ESI FT-ICR MS
Authors: Xiao Lingfeng , Hu Song , Jiang Long , Su Sheng , Wang Yi , Xiang Jun
Published: February 2021

The OPAHs from hemicellulose tar are high risk of causing cancer during thermal conversion. Therefore, the distribution of OPAHs in hemicellulose tar at different temperatures characterization via GC-MS and ESI FT-ICR MS. It is found that pyrolysis tar of xylan contain a large amount of furfural and L-glucan by GC-MS. While the ESI FT-ICR MS shows that The molecular mass of OPAHs in the tar mainly concentrate between 200 Da and 400 Da and these compounds are mostly with C atoms from 5 to 25 and DBE values from 4 to 15. Moreover, there are more decarbonylation and decarboxylation reactions with the pyrolysis temperature raise.
Forecast model of airport haze visibility and meteorological factors based on SVR-RBF model
Authors: Liu Dazheng , Jiang Tao , Zhang Yangchun , Wang Yingjie , Pan Xiaotian , Wu Jianping
Published: February 2021

All kinds of meteorological elements near the airport directly affect the dissipation process of fog, which also affects the visibility. The correlation analysis of temperature, humidity, dew point temperature, air pressure, wind speed and other meteorological factors with visibility Runway Visual Range (RVR)and Meteorological Optical Visual Range (MOR)was carried out by SPSS. It was found that the four variables, TEMP, RH, WS2A and PAINS, had great influence. In this paper, the above four variables are selected as inputs to nonlinear fit the RVR value of visibility. Combined with Radial Basis Function (RBF), it is found that SVM-RBF model has better generalization ability and fitting degree.
Study on migration of two acrylate monomers in plastic food contact materials
Authors: Qiu Yue , Li Genrong , Zhang Qing , Tan Chaolan , Xiang Dong
Published: February 2021

The migration rules of acrylate monomers in plastic food contact materials were studied in this work. The migration rules of two acrylate monomers from food packing materials to four different stimulants including pure water, 4% acetic acid, 10% ethanol and isooctane were investigated by supercritical fluid chromatography (SFC) technology. The effects of food simulation species, concentration of ethanol, migration time and migration temperature on the migration amount of acrylate monomers were studied. The results showed that the migration of acrylate monomers in different food simulants were in the order: 10% ethanol>4% acetic acid>isooctane>water. Moreover, acrylate monomers were more likely to migrate in high concentration of ethanol. In the same food simulation, the migration of acrylate monomers increased with the increase of temperature and time. This study can provide theoretical basis and technical support for food safety control in the process of production, storage and transportation.
Research on Comprehensive Utilization and Fruit Vinegar Fermentation Technology of Pineapple Bran
Authors: Huang Hui , Wang Xiaofang , Hu Yuhao , Zhang Li
Published: February 2021

This paper briefly described the biological characteristics of pineapple bran and current status of research on key technology for its comprehensive utilization. Through the study on such production processes as liquid-state, solid-state and liquid/solid-state fermentations to make fruit vinegar from pineapple bran, existed problems and their solutions for current production processes were put forward and a broad prospect for the development of fermenting pineapple bran into fruit vinegar was demonstrated.
Effects of heterogeneity of porous media and wettability on forced imbibition
Authors: Xiao Lianwei , Yao Jun
Published: February 2021

Imbibition, the wetting fluid displacing a nonwetting one, occurs in many natural and industrial applications, such as enhanced oil recovery and CO2 sequestration. The imbibition process is highly affected by wettability, viscosity ratio and injection flow rates, and the competition between these factors become more complicated when the heterogeneity of porous media is involved. In this work, forced imbibition in two-dimensional porous media is systematically investigated with different disorders over a broad range of wettability conditions and flow rates. Results show that the disorder and the wettability have different impacts on the imbibition process under different capillary numbers.
Research on design method of Energy Internet business model
Authors: Wang Shaoran
Published: February 2021

Under the background of high-quality development of China’s energy industry, the high proportion of renewable energy access, the promotion and application of electric vehicles and charging infrastructure, the commercialization of energy storage, and the development of distributed generation are actively changing the development pattern of power grid and promoting the reform of energy production and consumption. As an Internet technology of “comprehensive perception, reliable transmission and intelligent processing”, the Internet of things is gradually becoming a new technology and new field in the field of electric power in the development process of energy Internet. It is very important for energy enterprises to study the business model under the energy internet. Therefore, starting from the business model design method, this paper puts forward the design framework of business model of energy enterprises under the background of Internet of things, and finally studies the existing energy application scenarios, hoping to help energy enterprises adapt to the market.
Road and Landscape Planning and Design of Residential Area Based on Green Ecology
Authors: Yuhan Jiao
Published: February 2021

With the rapid development of social economy, the rapid improvement of people’s living standards and the increase of car ownership, the problems of residential road traffic and landscape are becoming more and more serious. Residential area is closely related to human health and its development is a symbol of urban progress. The planning and design of green ecological residential area has become the focus of common concern in China and even in the world. Based on the concept of green ecology, this paper discusses how to plan and design residential roads and landscape. At the end of this paper, the design method of road and landscape in residential area is analysed through practical application design. It is hoped to provide some reference ideas for future residential planning and jointly promote the construction of green ecology of residential area.
Effect of P2G on Suppression of New Energy Fluctuations and Carbon Capture and Dynamic Simulation of Gas Pipeline
Authors: zhai Jiang , Li Yalou , Li Fang , Zhou Xiaoxin
Published: February 2021

The rise of power-to-gas (P2G) technology provides an effective way for the absorption of low-carbon intermittent energy sources such as wind energy and photovoltaics. At the same time, the application and promotion of power-to-gas (P2G) are beneficial to the realization of carbon-neutral goals and realize carbon recycling. This paper analyzes the principle of the power-to-gas process, including the two steps of power-to-hydrogen (P2H) and methanation, and analyzes how to use a power-to-gas facility to increase the grid-connected ratio of new energy power generation and alleviate wind and solar abandonment. This paper proposed a solution to the above problem, and analyzed the effect of power-to-gas on carbon capture, at the same time calculated the number of carbon emissions that can be reduced in the unit of energy produced, and finally, we can conclude that power-to-gas is effective in stabilizing new energy volatility and carbon neutrality and have significant social benefits and economic value. The main component of natural gas is methane, so the methane produced by P2G can be directly injected into the natural gas pipeline. Since the rate of methane production fluctuates frequently. Therefore, it will cause frequent fluctuations of the gas in the pipeline, which may cause the gas pressure, flow, and pipeline pack to exceed the limitation. This paper uses the method of characteristic to solve the differential equation of the pipeline to analyze the dynamic fluctuation process of pressure, flow rate, and pipeline-pack, and finally compared with thermodynamic calculation to verify the correctness of the algorithm.
Research on Scrap Recycling of Retired Civil Aircraft
Authors: Zhao Dan , Guo Zhongbao , Xue Jinqiao
Published: February 2021

With the acceleration of the decommissioning of civil aircraft and the huge economic and environmental benefits, how to dispose and recycle the waste materials of decommissioned aircraft has become an important issue to be solved urgently. This article first introduces the current status of the international aircraft dismantling and recycling industry, and then elaborates the scrap recycling technology of the retired aircraft from the second-hand aviation material market, metals and composite materials, respectively. Finally, the positioning and advantages of the main aircraft manufacturer are clarified, and the future prospects for the field of dismantling and recycling are put forward.
Quantifying the effectiveness of early warning systems for heavy air pollution based on public responses
Authors: Wang Fangping , Fei Su
Published: February 2021

Air pollution is a major environmental and public health issue in China. Air pollution warnings are issued with the aim of allowing individuals to take protective measures and mitigate risks. Because these warnings are only reminders and not mandatory instructions, public responses play a vital role in the effectiveness of Early Warning Systems (EWSs) for heavy air pollution. However, public responses have never been considered in the evaluation of EWS effectiveness. To address this knowledge gap, a method is proposed to incorporate public responses in the assessment of the effectiveness of EWSs. Warning effectiveness was based upon costs associated with public responses and non-responses, and the minimization of total costs. Health harm was assessed based on an exposure-response relationship, and health effect terms were used to determine the cost of non-responses. In addition, willingness-to-pay values for health protection measures that reduce the risk of dying or getting sick from air pollution were used to determine response investment costs. A Monte Carlo simulation model was then designed to simulate the uncertainty of the warning issuance and public behavior. In addition, numerical experiments were performed to evaluate the model. Experimental parameters were based on the air quality index and warning response surveys from individuals in Beijing, and the effects of air pollution warning issuance were evaluated using model parameters based on several specific scenarios. The results indicated that the current warning threshold used in China is acceptable for optimizing public response. The results also suggested that positive actions taken by people to reduce health risks can improve the effectiveness of EWSs. The model proposed herein can be used by policy makers and governments to monitor and improve air pollution EWSs. In addition, the model and the results presented here are of use for investigating the improvement of global air quality EWSs.
Population weighted distribution of PM2.5 in 31 provinces in China
Authors: Wen Jing , Zheng Shufen , Zhao Yurong , Shen Deshun
Published: February 2021

The traditional calculated PM2.5 based on the simple arithmetic average method (SAAM) is not adequate enough to reflect the influence of air pollution to public health and the exposed public. Considering the exposed population to air pollution, this study calculated PPM2.5 in 31 provinces in China by using the population weighted arithmetic average method (PWAA). The study shows that in 2018, most provinces have a significant difference between the populations weighted PM2.5 (PPM2.5) and the simple average value (PM2.5) in which Qinghai and Sichuan have the highest differences. Moreover, from 2013 to 2018, PPM2.5 based on 346 cities is higher than PM2.5 and the differences grow in escalation. Thus, compared with the SAAM, PPM2.5 based on the PWAA can reflect explicitly the impact of air pollution to the exposed population.
Hubei flavor Bean curd residue innovation and nutrition
Authors: Ding Hui
Published: February 2021

With the rise of rural tourism, Bean curd residue has gradually become a favorite food for tourists. While effectively driving the income of local villagers, it also promotes the inheritance and promotion of Bean curd residue making technology. Based on this, this study carries out innovative research.