bluuebunny/crossref_metadata_2025 huggingface dataset:
Self-regulation Strategic Framework for minimizing distraction in digital society
Authors: Anthonysamy Lilian , Choo Koo Ah , Hin Hew Soon
Published: June 2020

While advanced innovations through digital technologies are rising, they present their own difficulties, for example, digital distraction. There is a need to minimise digital distraction among digital citizens in order to create a bright digital society. Thus, the need to employ proper strategies to minimise digital distraction is vital. However, there is a dearth of research on how self-regulation strategies can help individuals improve their ability to filter digital distraction. Digital distraction cannot be ignored as it can decrease productivity and performance in learning among young adults. This paper intends to formulate a strategic framework in tackling the issue of digital distraction for brighter digital society.
A Review on Image Processing Techniques for Fisheries Application
Authors: Awalludin E A , Arsad T N T , Wan Yussof W N J Hj
Published: June 2020

Nowadays, the image processing technique has been used widely in the fields of science and technology. The use of the image processing technique is to improve the manual approach process to achieve accurate results. Since the manual approach shows, its time processing can be laborious to analyses extensive data and require a skilful researcher to experiment. The use of image processing technique can support to reduce several drawbacks. Therefore, many researchers prefer an alternative solution such as an automated or semiautomated system-based image to enhance the manual approach task. The image processing technology provides a variety of algorithms that modified according to the desired study is the reason why the image processing technique is desirable. Low-level processing is the early stage of image processing techniques and the steps involved are image acquisition, noise removal, image sharpening, image smoothing, image blurring, etc. Meanwhile for the Midlevel processing, adopt the use of several image processing techniques such as image segmentation, object detection, object recognition, feature extraction and classification. Therefore, image processing provides numerous applications such as in agriculture, medical image processing, ocean monitoring and conservation, facial recognition, fisheries, etc. In this paper, the uses of image processing techniques are discussed in briefly on the application of fishery study.
A Study on The Application of Convoluted PTFE For Arterial Implantation: Mechanical Testing and Properties
Authors: Tariq Mohammed Gulfaraz , Youseffi Mansour , Jamil Muhammad Mahadi bin Abdul , Rahman Nur Adilah Abd , Khaghani Seyed Ali , Sefat Farshid
Published: June 2020

Polytetrafluoroethylene (PTFE) is a thermoplastic polymeric material with various applications including aerospace, automotive, biomedical and electrical. PTFE surface is smooth, wear resistant, non-sticky and slippery in nature. Combined with such useful properties, the material conveys various other features such as temperature resistance up to 260°C, exceptional chemical stability, corrosion resistance, good fatigue strength and sterilisable. This work involved mechanical testing of convoluted PTFE tubes with different thicknesses, diameters and lengths. This included the following tests: volumetric expansion, tensile and elongation, rolling u wear and burst tests by applying real industrial pressures. The mechanical testing showed promising results for the convoluted PTFE tubes which could undergo extreme elongation due to the elastic nature. The % volumetric expansion exceeded the expected values (on average, 3-5% higher than the expected values). The results for the rolling u wear, burst and tensile tests also showed good properties. Based on its mechanical properties, convoluted PTFE seemed to be an appropriate material for replacing damaged/diseased arteries.
Chemical Equilibrium Optimization Via Logarithmic Penalty Function Approach
Authors: Hassan Mansur , Ali Majid Khan Majahar , Baharum Adam
Published: June 2020

Determining the chemical composition problem which is made up of a complex mixture specifically for chemical equilibrium has become one of the great importance, and it usually arises, especially in the performance of fuels and catalyst analysis and the fusion of the complicated organic compound. We implored a new logarithmic penalty function (LPF) to optimize (minimize) the objective function in the chemical equilibrium model. The objective function represents the expression of a mathematical model for the free energy of the chemical mixture under consideration. The result obtained happens to be more acceptable in terms of the optimal objective value and computational complexity.
The efficiency of soft sensors modelling in advanced control systems in oil refinery through the application of hybrid intelligent data mining techniques
Authors: Al-Jlibawi Ali , Othman Mohammed Lutfi Bin , Al-Huseiny Muayed S. , Aris Ishak Bin , Bahari Samsul
Published: June 2020

Quality variables cannot be automatically measured to all nor be measured at a high cost, infrequently, nor with high delays, such as laboratory analysis and online analyser. Therefore, data-driven soft sensors are inferential models which use online available sensors, such as temperature, pressure, and flow rate among others, to predict the quality variables. Soft sensors which are built using historical data of the processes are normally developed from the supervisory control and data acquisition (SCADA) systems connected with PLC or DCS (distribution control systems) as the daily reports on the oil refinery processes. These systems are then obtained from laboratory observation/measurements. Notably, the main issue in the development of the soft sensor is the treatment of missing data, outlier detection, selection of input variables, model training, validation, and soft sensor maintenance to adopt the heavy-duty oil refineries to improve the products of the crude oil and increase yield. In this article, the improvement in the virtual sensor based on hybrid soft computing methods (FLS and NN), which are combined into ANFIS, will be employed to construct the soft sensor model. Moreover, RST will be used to reduce the fuzzy rules and discretisation method to optimise and deal with the large continuous data. It was found from the implementation of rough set theory and discretisation methods that these two methods solved the complexity and nonlinearity of the soft sensor model. This model was employed for the refining process measurements data of the oil refinery from two different crude oil sources, in which the database of the measurements and processes was combined to improve the quality of data and discover the knowledge stored in the data pattern. It was indicated from this study result that the ANFIS model is able to manage the complex data to predict two important parameters of light naphtha (API and RVP) compared to the simple regression model. Additionally, controlling and monitoring the process are crucial actions performed to achieve the 4th industrial revolution and IoT. This study has contributed to the assistance in breaking the barriers of privacy between oil industries and the applicability of soft sensors modelling in the changes of data sources to achieve remarkable data analysis. The analyses result of RVP show the efficiency of ANFIS compare with linear regression regarding the generalization and overfitting.
Bayesian Regularization-Trained Multi-layer Perceptron Neural Network Predictive Modelling of Phenol Degradation using ZnO/Fe2O3 photocatalyst
Authors: Haiqi Omer Al , Nour Abdurahman Hamid , Ayodele Bamidele Victor , Bargaa Rushdi
Published: June 2020

The processing of crude oil in the onshore platform often results in the generation of produce water containing harmful organic pollutants such as phenol. If the produce water is not properly treated to get rid of the organic pollutants, human exposure when discharged could be detrimental to health. Photocatalytic degradation of the organic pollutant has been a proven, non-expensive techniques of removing these harmful organic compounds from the produce water. However, the detail experimentation is often tedious and costly. One way to investigate the non-linear relationship between the parameters for effective performance of the photodegradation is by artificial neural network modelling. This study investigates the predictive modelling of photocatalytic phenol degradation from crude oil wastewater using Bayesian regularization-trained multilayer perceptron neural network (MLPNN). The ZnO/Fe2O3 photocatalyst used for the photodegradation was prepared using sol-gel method and employed for the phenol degradation study in a batch reactor under solar irradiation. Twenty-six datasets generated by Box-Behken experimental design was used for the training of the MLPNN with input variables as irradiation time, initial phenol concentration, photocatalyst dosage and the pH of the solution while the output layer consist of phenol degradation. Several MLPNN architecture was tested to obtain an optimized 4 5 1 configuration with the least mean standard error (MSE) of 1.27. The MLPNN with the 4 5 1 architecture resulted in robust prediction of phenol degradation from the wastewater with coefficient of determination (R) of 0.999.
Investigating Synergistic Effects Of Surfactants And Nanoparticles On Emulsion Stability
Authors: Abdul-Razzaq R , Jaafar M Z , Bandyopadhyay S
Published: June 2020

A challenge of making oil production viable is emerging with time because most of the oil reserves have been exploited using primary and secondary recovery methods. Chemicals such as surfactants have been used to increase oil production through a method called chemical enhanced oil recovery. However, the application of this method is experiencing difficulties because of excessive use of surfactants that not only has negative effect on the economics of the project, but also poses severe environmental concerns. Another method that is being widely proposed is to apply emulsion flooding to enhance oil production. In order to maximize the impact of this method and as a result achieve higher oil recovery factor, it is vital to maintain the stability of the emulsion used. One of the claimed methods to improve the stability of emulsion is the application of synergistic effect between nanoparticles (NPs) and surfactants. This article aims on investigating the stability of emulsion using bottle test when applying the synergistic effect between NPs and surfactants with varying concentrations of the NPs, and surfactant charge. An anionic surfactant - sodium dodecyl sulphate (SDS) and a cationic surfactant - cetyltrimethylammonium bromide (CTAB) have been utilized in this study. Nano-silica was selected as the NPs used in this study. It was found that synergistic effect is more prominent between SDS and nano-silica with decrease in emulsion phase height percentage (measure of emulsion stability) going down to 22% compared with 43% for combination of CTAB and nano-silica, and 51% in case of using only surfactants. This has proved that the synergistic effect is beneficial in enhancing the emulsion stability, which can be implemented in the application of emulsion flooding where the stability of the emulsion is crucial.
Production and characterization of biopolymer schizophyllan using sago starch as a carbon source
Authors: Gunaji R G , Junin R , Bandyopadhyay S
Published: June 2020

A significant amount of oil gets left behind in the reservoir after the application of primary and secondary recovery methods. Water flooding is the most widely used secondary recovery method because of its availability and low cost. However, this method leads to high water/oil mobility ratio leaving behind most of the oil in the reservoir. To overcome this effect, polymers are added which increases the water viscosity due to their high molecular weight. Polymer flooding reduces the mobility ratio leading to a greater oil recovery. In recent years, biopolymers have attracted the attention of petroleum industries. There are very few reports on the production of biopolymers from fungi and even fewer among them have been produced commercially. Schizophyllan produced by the fungusschizophyllum communein presence of a carbon source (usually glucose) via submerged fermentation process, has attracted attention of researchers recently. This biopolymer is currently available as an expensive grade material, whereby limiting its applications in the industry. We hereby report a method for schizophyllan production using cheaply available sago starch as a carbon source. Physico-chemical characterization of schizophyllan was carried out using Fourier Transform Infrared (FTIR) spectroscopy which showed characteristic spectral signature for the biopolymer. Using Thermo Gravimetric (TG) analysis, the biopolymer was observed to be thermally stable upto 125°C, showing potential applications in high temperature reservoir conditions. Gel Permeation Chromatography (GPC) revealed a high molecular weight of 14.73 million Dalton, while viscosity measurements show shear-thinning behaviour, desirable in polymer flooding applications. The obtained properties of the biopolymer, coupled with a cheap production process based on locally available carbon source, makes them ideal candidates for applications in polymer flooding for enhanced oil recovery.
How to Create a System Ecological Theory of The Environment in Revolution 4.0 Era?
Authors: Arifin Raihan Mohd , Teh Kamarul Shukri Mat
Published: June 2020

The ecological theory of the environment plays an important role in the development and characterization of an individual’s character. This theory will show the process of development that develops between the individual and the environment. The character of an individual will shape from the influence of the surrounding environment such as family, friends, school, teachers, workplace and so on. This paper will discuss the integration of environmental ecological theory into aspects of Islamic and western thought in the face of the revolutionary 4.0 era. The ecological theory of the environment will be based on Bronfenbrenner’s ecological theory as well as Ibn Khaldun’s ecological theory. Research on three aspects of the activity, role model, and practice will be detailed. This method of study uses documentary analysis based on Ibn Khaldun’s book of scripture and Bronfenbrenner’s writings. As a result of this study, it is found that these three aspects are in line with human needs. Therefore, this study is seen as contributing to the theory and can serve as a new reference and concept to society. Implications of this study apply the theory of the environment not only in education but in all fields.
Performance of Concrete Gravity Dams with Height 50m and 75m based on Incremental Dynamic Analysis
Authors: Cong Lee Wei , Azizan Nik Zainab Nik
Published: June 2020

This paper discusses the performance of concrete gravity dam with a height of 50m and 75m is studied by using the incremental dynamic analysis (IDA). The IDA curves were develop based on seven ground motions which fulfil the criteria of i) the distance of near field is less than 15km, (ii) the earthquake magnitude is greater than 5.5 and (iii) the PGA is equal to or greater than 0.15g. Seven of ground motions were converted to response spectrum and scaled according to the characteristic of the soil type for development of elastic response spectrum. Referring to Eurocode 8, elastic response spectrum was developed based on soil type B. By using IDA method, the limit states of the dam which are yielding and ultimate state are identified based on the cracking schemes. The displacement of yielding state for 50m height of dam is 14.60mm and 23.18mm for 75m height of dam. Meanwhile, the ultimate state is 23.18mm and 52.05mm for 50m and 75m height of dam respectively. The results show a greater damage occurred on higher dam and allow us to study the performance of dam with various height under seismic loadings.
Solar Powered Paddy Irrigation System Using Arduino UNO Microcontroller: Battery Performance
Authors: Chan Baythanee , Jumaat Siti Amely , Abdullah Mohd Noor
Published: June 2020

This project is about the innovation of automated irrigation system at paddy field. Paddy irrigation system traditionally was depending on raining seasons. The changing of raining seasons will affect paddy growth. The farmer will use water pump sourced from diesel to drain water into the paddy field. The diesel water pump produces smoke that causes air pollution and bad health to the farmer. Moreover, diesel was non-reusable energy plus the manual control of irrigation system wastes time and human energy to operate the water pump and observe the water level. This project proposed the photovoltaic system to power the irrigation system and develop the prototype to represent the element of real irrigation system at the paddy field. Standalone photovoltaic system consists of solar panel, battery as energy storage, solar charger controller and water pump and the irrigation system is fully automated system controlled by Arduino UNO. Result obtain the solar-powered paddy irrigation system success coverall supply electricity to the irrigation system. The water pump only runs when low water level which measures by polypropylene float switch. The proposed project can produce efficient irrigation system, reduce the air pollution at paddy field and make farmer better health.
The role of system quality and content quality in explaining e-learning continuance intention: An Evidence from Malaysian e-learning users
Authors: Razak Fahmi Zaidi Abdul , Bakar Azlina Abu , Abdullah Wan Salihin Wong
Published: June 2020

System quality and content quality has long been adopted to study e-learning acceptance. However, it’s role in explaining confirmation stage (continuance intention) is still in vague. The current study combines systems quality and content quality in a theoretical framework to examine it’s impact on users continuance intention. The research model and hypotheses was tested using 427 Malaysian e-learning users via SPSS. Results indicate that both predictors were significantly related to e-learning continuance intention. The findings from this study provide useful insights for further research
Application of Computer Network Technology in Animal Husbandry Development
Authors: Yang WenFu
Published: June 2020

With the rapid development of information technology, people’s production and life are gradually going into the information age. In recent years, information technology and biotechnology integration have brought new impetus to the development of modern animal husbandry. Information technology is widely used in animal husbandry production for the health and speed of rapid development of animal husbandry has helped a lot. The application status of information technology in the development of animal husbandry is analyzed in order to promote the modernization of our country. The prosperous development of animal husbandry provides the theoretical basis.
Design and Research on the Financial Approval Risk Control System
Authors: Jiang XiaoZhen
Published: June 2020

In the process of deepening the comprehensive risk management of financial companies, the construction of financial approval risk control is a complex and long-term system project that requires the establishment of the risk control concept and overall improvement of the risk prevention awareness in all employees. Guided by the financial approval risk control, the system construction mechanism of the company is improved to raise the operation and management level, enhance the self-improvement capacity, and provide a strong guarantee for achieving business objectives.
Application of Multimedia Network Technology in English Translation
Authors: Ling Liao
Published: June 2020

In this paper, the theoretical basis of English translation research based on multimedia networks is introduced: Constructivist learning theory. Meanwhile, the characteristics and advantages of the English translation and the issues to be noted when implementing college English teaching in multimedia network environments are discussed.
Application of Tiered Technology in the Development of Computer Software
Authors: Zhang Ping
Published: June 2020

Software reliability is one of the critical factors to be considered in the process of system design, research and operation. Different from most current studies of software reliability modeling and simulation that are limited to simple series-parallel models, the optimization method is applied to the reliability modeling and simulation of large-scale, complex software system combined with an agrometeorological application system. The application of tiered modeling technology in system development is introduced, and the related tiered technology knowledge is elaborated.
Application of Visual Language of Folk Art in Traditional Chinese Painting Under the Internet Condition
Authors: Shang YanLing
Published: June 2020

Manu inspirations can be drawn from traditional Chinese painting art for modern visual communication design. In this paper, the traditional ink and wash elements are taken as the starting point to explore the features of visual language under the condition of the Internet based on the existing applications in modern Chinese visual communication design and further clarify the implicit beauty of traditional ink and wash art and the simple beauty of brushwork and ink.
Establishment of Multi-granularity Three-way Decision Model Based on the Minimization of Financial Risk
Authors: Wan XiaoYing
Published: June 2020

To reduce the decision risk from direct acceptance or rejection in the traditional two-way decision, the multi-granularity space of the problem decision is analyzed, and the multi-granularity three-way decision model based on the minimization of financial risk is studied in this paper. Based on the cost analysis of the three-way decision, to identify the optimal granularity space, the characteristics of different decision weights that various attributes have in the granularity space are combined to identify the decision action with the minimum risk from multiple different levels of granularity with the importance and decision weight of granulation as the heuristic information. Finally, to address some practical problems that require an urgent decision in the uncommitted options, the two-way decision transformation method based on risk control is provided and applied to the practical instance.
Ideological and Political Work Information Platform in Colleges and Universities Established Based on Terminal APP
Authors: Zhang Bo
Published: June 2020

With the development of mobile Internet technology, the Internet has entered the study and life of college students. Enhance its practical effectiveness has become a new subject faced by ideological and political staff in colleges and universities. Starting from the analysis of the status quo of ideological and political work in colleges and universities, with the mobile terminal APP as a research object, we discussed how to use the APP platform established in this paper to carry out network ideological and political education work in colleges and universities.
Application of Computer Mind Mapping Software in Primary School English Teaching
Authors: Li YaoYao , Si Wen
Published: June 2020

Computer mind mapping software features intuitiveness, which can assist teachers to improve the efficiency of lesson preparation and enhance classroom teaching when it is applied to primary school English teaching. In addition, it is very helpful to improve the listening, speaking, reading, writing abilities and vocabulary memorizing in primary school students. The main function of mind mapping is to concretize radiant thinking. In this paper, the application of computer mind mapping software in primary school English teaching is analyzed.
Innovation of College Ideological and Political Work in the New Media Environment Relying on Social Networking Services
Authors: Zhao GuiYang
Published: June 2020

In the era today, SNS (Social Networking Services) social networks are emerging. The information dissemination of SNS features a communication environment based on real interpersonal communication, means of communication based on multiple interpersonal communication scenarios. To adapt to the multifaceted challenges of the SNS era proactively, college ideological and political educators should improve network management norms and establish a solid new position in ideological and political work, leverage technological advantages and recommend the transformation and upgrading of network positions, enhance education penetration and expand the new platform of the network early warning system.
Correction of English Translation Accuracy Based on Poisson Log-linear Model
Authors: Xiao ChengXiao
Published: June 2020

In the conventional machine translation methods, pipelined sequential operation is used to perform part-of-speech identification and syntactic analysis on the raw corpus to obtain the syntactic structure of English language, thereby reducing the iterative transfer error between translation tasks and the accuracy of structured instances, resulting in reduced accuracy in English language and literature translation. In this paper, a Poisson log-linear model that saves the corresponding bilingual corpus by means of Chinese-English dependency-tree-to-string is designed to implement dependent structured processing on the source language end and ensure that the accurate translation of English language is further proofread through the data-oriented translation model in the Chinese-English bilingual correspondence. The experimental results show that translation with high accuracy can be obtained based on the proposed method, which is highly accurate and stable.
Teaching Application of Anti-Japanese Amalgamated Army Songs in Mudanjiang River Basin During the Anti-Japanese War Based on Computer Music Production Technology
Authors: Tian Ye
Published: June 2020

After the September 18th Incident, anti-Japanese War and national salvation songs became the theme in song creation, where the Anti-Japanese Amalgamated Army songs were among the most outstanding. In this paper, the style of Anti-Japanese Amalgamated Army songs in Mudanjiang River Basin during the Anti-Japanese War was analyzed and summarized.
Evaluation and Analysis of Electronic Information Industry Clustering Level Based on Soft Subspace Clustering Algorithm
Authors: Chen YongTong
Published: June 2020

Based on the soft subspace clustering, this paper constructs an industry clustering index which can be used to test the significance, and then calculates and analyzes the clustering level of China’s electronic information industry. The results show that the clustering phenomenon of China’s electronic information industry is very obvious, and the clustering index shows an inverted U-shaped trend of rapid rise and slow decline in the whole research range, In terms of the distribution of the gathering areas, they are mainly concentrated in the eastern coastal areas such as Guangdong, Jiangsu and Shanghai, and the concentration degree is constantly increasing.
Spatial Measurement of Regional Capacity in China Based on Static and Dynamic Spatial Panel Econometric Model
Authors: Gu YaJun
Published: June 2020

Spatial econometrics came into being in the 1970s. The reputation of spatial econometrics has become more and more popular after that. It attracted many scholars at home and abroad. After years of research, space metrology has gradually matured. Compared with traditional econometrics, spatial econometrics uses spatial correlation to combine some seemingly independent individuals to build a spatial model to help researchers carry out detailed data analysis through a certain relationship. In this paper, it summarizes the theory of spatial econometrics and the differences between spatial econometrics and traditional econometrics. Then, an economic model is established by using spatial econometrics to study the regional production capacity of China based on the static and dynamic spatial panel.
Research on the Promotion Strategy of Multimedia Network Educational Platform in College Sports Education
Authors: Zhang JianYu
Published: June 2020

With the gradual innovation of informational technology in China, various industries have carried out innovative reforms. As we all know, the practice of physical education can exercise students’ physical quality and enhance their resistance. It can also educate the students in ideology and moral character. As the application of network education platform is extensive, the application of platform in college sports education is the focus of physical education reform. This paper analyzes the benefit and importance of the application of network sports teaching in college physical education courses, and finally gives the corresponding conclusions.
Design of Mobile APP User Behavior Analysis Engine Based on Cloud Computing
Authors: Ren Qiang
Published: June 2020

With the rapid development of mobile Internet, operators are facing more and more fierce competition, traffic management is imperative. Accurate marketing based on user behavior analysis is an important means. However, in the era of big data, with the rapid growth of mobile Internet services and the increase in the number of users, the traditional architecture is difficult to adapt to the needs of mass data mining. The purpose of this paper is to make the Internet operators in China face a new development opportunity, start to move towards the road of traffic management to traffic management, and conduct an in-depth analysis of users’ behavior rules, to explore the real needs of the market and the majority of users. This paper proposes a cloud-based mobile Internet big data user behavior analysis engine solution, including the design of the overall system architecture, big data warehousing and preprocessing components, big data user behavior analysis model and other key modules, and finally analyzes the system test results.
Interoperability of Distribution Automation Terminals Based on IEC61850
Authors: Wu Lifang , Yu Xiaoyong , Chen Shaonan , Huang Weixiang , Tao Kai
Published: June 2020

At present, in the distribution automation system, the test of the power distribution terminal requires external input to the power distribution terminal through a tester simulation protection test. After the status of the power distribution terminal changes, upload the signal to the client (master station). The client compares the received signal with the local signal of the power distribution terminal, and artificially determines whether the communication behavior of the power distribution terminal is correct. It can also simulate multiple power distribution terminal information uploads through several avalanche tests to simply understand the network load and the signal is correct. rate. However, this test method has the following disadvantages: it is not possible to comprehensively test the communication capability of the client (master station); the correctness of the ICD model provided by the manufacturer can be verified only through the point test of the tester; the distribution automation cannot be fully understood Peak network communication load of the system. The IEC 61850-based power distribution terminal simulator designed and developed in this article makes up for the above shortcomings. It can simulate the external communication behavior of all power distribution terminals at the whole station and conduct comprehensive tests on power distribution terminal equipment, so as to better use IEC 61850 communication standard. In this paper, a simulation experiment is performed to set a fault in the section where load node 2 is located, set the remaining capacity of switch S1 to 450A, set the remaining capacity of switch S2 to 350A, and set the remaining capacity of switch S3 to 470A, and the modeling time is 1.85s. Contact switch power supply conditions. The power distribution terminal simulator runs on a computer, eliminating the need for testers and other equipment, which can reduce the workload of the staff and greatly shorten the project commissioning time.
Application of Definite Solution of Partial Differential Equation in Deep Learning
Authors: Zou Leqiang
Published: June 2020

With the continuous development of human knowledge and the rapid expansion of knowledge data, the traditional learning methods have been unable to meet the needs of the development of human knowledge. In this case, some scholars proposed the theory of deep learning on the basis of the layered operation of human brain. At present, deep learning has been widely applied in various fields, such as image processing, speech recognition and emotion classification. Partial differential equation (pde) is a common mathematical analysis method, which can effectively extract data features, which is consistent with the characteristics of deep learning. Therefore, it is feasible to apply the definite solution of partial differential equation to deep learning. The purpose of this paper is to promote the further development of deep learning by studying the application of partial differential equation in deep learning. This paper first summarizes the concepts of deep learning and partial differential equations, then analyzes the wavelet method of the definite solution problem, and then discusses the feasibility of applying the wavelet method to deep learning. Finally, the development of deep learning based on wavelet analysis is discussed. The research in this paper shows that the solution of the definite solution problem of partial differential equations can take three-dimensional space as the starting point to reconstruct deep learning in an all-round way, which greatly expands the application scope of deep learning theory.
Construction of Tourism Planning Information System Based on Ant Colony Algorithm
Authors: Qu Ziwen
Published: June 2020

Tourism planning is a vital link in tourism. Compared with the traditional tourism planning based on experience, it is more scientific and reasonable to formulate through mathematical modeling methods. This paper mainly studies the construction of tourism planning information system based on ant colony(AC) algorithm. In the solution process, for the problems with more attractions, you need to divide the area first, then solve each area separately, and then transform the result of the solution into the regional self-driving tour route planning, and finally form a self-driving tour route planning. The experiments in this article found that most of the area tour time is closer to 15 days, which reduces the number of outings in a year and effectively reduces the round-trip time. In this paper, the system construction of self-driving tour route planning problems and ideas for solving specific problems are suitable for route planning in scenic spots or scenic spots, and have certain reference value.
Online Reputation Evaluation of E-commerce Enterprises Based on Fuzzy Theory
Authors: Li Ying , Ning Xiuli , Xu Yingcheng , Lu Xiaowei , Han Lei
Published: June 2020

With the development of network communication technology, the Internet technology is no longer the main factor restricting the development of e-commerce. While e-commerce facilitates people’s daily life, the amount and quantity of transactions have greatly increased, and the risks arising from the virtuality of transactions have also increased dramatically. The author, with the construction of online reputation evaluation index system of e-commerce enterprises, comprehensively evaluates the online reputation of e-commerce enterprises with transactions carried out at their self-built platforms, by means of fuzzy analytic hierarchy process (AHP). Through practical application, this paper provides technical support for online reputation evaluation of e-commerce enterprises.
Based on the Patent Index Method and S Curve Method Prediction Analysis of Pure Electric Vehicle Life Cycle
Authors: Li Mingyue , Fang Jian , Wu Yue
Published: June 2020

In order to grasp the direction of pure electric vehicle technology innovation in strategic macro, this paper retrieves the domestic patents in the field related to pure electric vehicles, using the patent index method and S-curve method to analyze the life cycle of pure electric vehicle technology. It is clear that the pure electric vehicle technology in China is in the mature stage of the technology life cycle, In view of the development stage and development trend of pure electric vehicle technology in China, this paper provides patent strategies for related enterprises from the perspective of patent strategy. The combination of patent indicator method and s-curve method can predict the technology life cycle more accurately, providing a feasible analytical method for the identification and prediction of the patent technology life cycle.
Deep-Integration of IT and Education with Chinese Feature
Authors: Zhou Jieqiong
Published: June 2020

The Deep-Integration of Education with Chinese feature and IT is an important strategy for the development of higher education in China, and it is also an important means to improve the ideological and moral quality and comprehensive quality of college students. The development of modern IT has provided huge advantages and new development ideas for Education with Chinese feature in colleges and universities. Further promoting the Deep-Integration of Education with Chinese feature and IT has far-reaching significance for deepening the reform and development of Education with Chinese feature. Therefore, this paper brings forward the research on the way of Deep-Integration of modern IT and Education with Chinese feature. This paper uses the literature research method and a combination of other methods to study the Deep-Integration of modern IT and Education with Chinese feature. The research in this paper finds that to achieve the Deep-Integration of modern IT and Education with Chinese feature, the following points must be achieved: firstly, an intelligent and safe information-based teaching environment must be established, and corresponding teaching software must be developed and provided according to the teaching needs; Improve teachers’ability to master and use IT, build a learning, service and innovative “artisan” teacher team, clarify the leading role of teachers and the role of students’ main role; finally, we must handle IT and The problem of combining traditional education solves the problem of diversifying information and guiding core values.
A Study on the Interactive Design and Aesthetics of Website Interface Based on Augmented Reality
Authors: Li NanNan
Published: June 2020

With the development of computer technology and the upgrading of human-computer interaction equipment, interactive media technology has been widely applied in daily life, among which augmented reality is the hot focus. In this paper, augmented reality, interactive interface and interactive design are overviewed to summarize the trend of the blending of the three and research and analysis on the aesthetics created is carried out.
Research on Degraded Video Image Recognition Based on Neural Network
Authors: Nie LuoNa
Published: June 2020

A convolutional neural network model is a multi-layered architecture with fault tolerance, parallel computing capabilities, and efficient computational performance. This model has been widely used in pattern recognition, intelligent image analysis and other fields. The application of convolutional neural network with good application prospects is utilized to realize the detection and analysis of video image quality class.
Spoken English Repetitive Correction Retrieval Based on Syllable Unit WFST Web Search Filter
Authors: Yu ShuangShuang
Published: June 2020

Aiming at the difficulty in computer-assisted language teaching of repeated correction and error detection in spoken English, a fault-tolerant alignment and search filtering algorithm based on the syllable unit WFST (weighted finitestate transformer) network is proposed. This algorithm uses the script corresponding to the adjacent matching words in the recognition results to establish the above grammatical network for fault-tolerant alignment under secondary recognition. The candidate modified parts and replacement parts are used as the query and template for search filtering. In the end, the result of repeated correction error detection is determined by the confidence of the search filtering algorithm. To this end, the k-difference algorithm based on sequential assumptions and the n-gram algorithm based on random assumptions are proposed. Experiments show that the multi-n-gram hybrid search filtering with syllables as the modeling unit achieves relatively optimal results without using quadratic fault-tolerant alignment; when using quadratic fault-tolerant alignment, F-measure can obtain 3 to 4 Further increase in percentage.
Emergency Response Training for Safety Accidents Based on Computer Simulation and Virtual Reality Technology
Authors: Zhang Ping
Published: June 2020

Given the realistic contradiction between the frequent safety accidents in densely populated places and the difficulty in implementing emergency response training and the low level of response, we propose the emergency response training for safety accidents based on computer simulation and virtual reality technology in this paper, which has solved the problems such as huge consumption of human and material resources, disruption of the normal order and difficulty to organize in the practical training. Computer simulation and virtual reality technology is highly situational and immersive, which has provided a new way of emergency treatment training for safety accidents.
Urban Planning Reform Trend Based on Artificial Intelligence
Authors: Jiang MingZhuo
Published: June 2020

Artificial intelligence (AI) will offer opportunities for comprehensive reform in the urban planning field, including thoughts, technologies, methods, and management. It is inevitable that the urban planning reform throughout the urban planning management process will be optimized by the development and application of AI. Firstly, the development and evolution of AI and its stage features are consolidated, and several technological breakthrough directions of AI are expounded. Subsequently, the interactions between AI and urban planning are analyzed. Meanwhile, based on the clarification of four basic features (uncertain, scientific, democratic and dynamic) of urban planning reform, the problems of China’s urban planning reform in four aspects of information, technology, subject, and feedback are reviewed. Finally, from the four technical breakthrough directions, that is, big data intelligence, human-computer hybrid enhanced intelligence, Internet group intelligence, and cross-media intelligence, in the AI technology closely related to the above urban planning reform problems, optimization strategies are prosed for the urban planning reform in China.
Application of Computer-based Simulation Analysis in Green Architecture Design
Authors: Qu Shen
Published: June 2020

Through simulation calculation of sunshine, wind field and noise in Lize Financial Business District, it is suggested that natural light should be introduced into the room to make up for the influence of insufficient sunshine, or lighting fixtures with low energy consumption should be selected for artificial lighting., land owners should design solar photovoltaic power generation properly, an open structure should be adopted at the bottom of the annex building to guide the natural wind and enhance the ventilation. According to the sound insulation requirements at different heights of buildings and those in different facade directions at the same height, sound-proof windows made of different materials with different performance should be selected to ensure the maximum use of natural lighting and ventilation, energy conservation and environmental optimization of buildings in the region, meeting the requirements of people for indoor and outdoor comfort.
Preliminary Study of Low-altitude Tourism Forecast under the Condition of Artificial Intelligence
Authors: Jin YongGuang
Published: June 2020

With the development of artificial intelligence (AI) technology, China’s low-altitude airspace reform and opening-up to the outside world continue to advance, and low-altitude tourism development has presented an unprecedented expanding trend. In this paper, Guilin City is taken as an example to introduce the site selection and layout of low-altitude tourism projects. On this basis, an in-depth analysis is performed on the overall benefits of low-altitude tourism development from the economic, social, and environmental perspectives. The analysis shows that under the condition of AI technology in Guilin, the development of low-altitude tourism can not only bring considerable economic benefits but also create considerable social and environmental effects.
Interior Landscape Design and Research based on Virtual Reality Technology
Authors: Yu DongZhou
Published: June 2020

Interior landscape design needs a comprehensive use of a variety of design theories and technical means, so that the aesthetic feeling and connotation of the works can be effectively reflected. However, the existing means and methods of interior landscape design have been difficult to meet the increasingly high expectations and needs of users. The development of virtual reality technology has brought new changes to interior landscape design, which is helpful to give full play to the auxiliary role of design. Based on this, this paper first analyses the application characteristics of virtual reality technology, then studies the application status and problems of virtual reality technology in interior design, and finally gives the modeling method of virtual reality technology in interior design.
Trend of Competitive Sports Reform under the Background of Artificial Intelligence
Authors: Wang ShiZhu
Published: June 2020

Competitive athlete is a combination of artificial intelligence (AI) and technology. At least in some ways, competitive athlete symbolizes the post-AI. This perspective provides us with judging criteria and helps us identify AI improved by technology as competitive athlete. This study first summarizes the value and current status of artificial intelligence applied in sports, mass sports, sports industry and other fields: In competitive sports, artificial intelligence provides athletes with personalized quantitative analysis of sports, training guidance, and injury prevention and monitoring, provides spectators with a more comfortable and realistic viewing experience, provide referees with a scientific basis for making fairer and more efficient decisions. In terms of mass sports, artificial intelligence provides scientific health management and sports guidance for individuals, stimulating the interest and enthusiasm of the masses in participating in sports. In the sports industry, artificial intelligence enables efficient operation of sports venues and effectively improves the performance of the sports industry.
Research on Computer Network Security Policy of Cloud Computing
Authors: Wang XiaoJing
Published: June 2020

Cloud computing is a special computing model, which provides growth, use, and delivery services for internet data. In the application of cloud computing technology, the security problems of the computer network in some cloud computing environments gradually appear, resulting in the security troubles of computer network applications. This paper attempts to study the computer network security problems in the cloud computing environment, and proposes the corresponding computer network security strategy, to promote the computer network security, reduce the adverse effects of security problems, for the relevant personnel to provide a reference.