bluuebunny/crossref_metadata_2025_split huggingface dataset:
Expert System Of Syzygium Aqueum Disease Diagnose Using Bayes Method
Authors: Junaidi Agus , Dewi Nurmala , Baidawi Taufik , Agustiani Sarifah , Arifin Yoseph Tajul , Sihotang Hengki Tamando 
Published: November 2020

Abstract
This research examines how to design an application of an expert system to diagnose Syzygium aqueum (burm.f.alston) plant diseases so that it is easier to detect diseases in the Syzygium aqueum (burm.f.alston) plants. This study uses the Bayes method to be more precise because it is based on the probability value of disease symptoms that arise in Syzygium aqueum (burm.f.alston) plants. In this research, the authors used a web-based application with the Bayes method. The results or outputs from this application provide the probability value of disease certainty and then the hypothesis is chosen with the largest value.
Comparative Analysis on Dimension Reduction Algorithm of Principal Component Analysis and Singular Value Decomposition for Clustering
Authors: Muningsih Elly , Nur Hidayat Muhammad , Dwi Imaniawan Fabriyan Fandi , Saifudin  , Handayani Vembria Rose , Endiarto Feri 
Published: November 2020

Abstract
Clustering is a method of dividing datasets into several groups that have similarity or the same characteristics. High-dimensional Datasets will influence the effectiveness of the grouping process. This study compares two dimension reduction algorithms, namely Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) using K-Means clustering method to find out the best algorithm with the smallest Bouldin Davies Index evaluation. The dataset of this study involved public data from UCIMachine Learning which contains the number of weekly sales of a product. Data processing is performed by comparing the number of clusters from 3 to 10 and the dimension reduction from 2 to 10. From the data processing the RapidMiner tools, application with dimension reduction can provide better results than without dimension reduction. In particular, the PCA algorithm shows better results than the SVD, with which the best number of clusters is 5, and the number of dimensional reductions is 3 with a Bouldin Index of 0.376.
The Effect of Satisfaction and Loyalty Towards Digital Payment System Users Among Generation Z in Yogyakarta Special Region.
Authors: Pradiatiningtyas Diah , Dewa Chriswardana Bayu , Safitri Lina Ayu , Kiswati Sri 
Published: November 2020

Abstract
Two of the most popular digital wallet application companies in Indonesia are Go-Pay 80% and OVO 60%. To be able to survive in the midst of the intense competition in digital wallet applications, application companies must innovate marketing strategies that focus on consumers. Due to the use of digital wallets among the very large generation Z and increasingly intense competition in the business of digital payment applications, the authors examine the effect of user satisfaction and loyalty towards digital payments among generation Z ( case study on Go-Pay and OVO users in Yogyakarta). This research objective is to analyze the satisfaction and loyalty of digital payment system users among generation Z in Yogyakarta Special Region, so that the researchers can find out the influencing variable to empower the development of digital payment especially Ovo and Go Pay. The reseacrh methodology considered as descriptive research, in which the data collecting technique utilized Likert scale questionnaire and employed purposive sampling for selecting the sample. The data analysis applied multiple regressions. The result of the multiple regression testing shows that satisfaction and loyalty affect the Z-generation respondents using the digital payment with the indicators that the digital payment sounds more easy, cashless, and more benefit. Moreover, the usage of digital payment is easy to track small expenses.
Designing a conceptual framework of a smart city for sustainable development in Bangladesh
Authors: Sourav A I , Deborah Lynn N , Santoso A J 
Published: November 2020

Abstract
A smart city is a future solution to better management of the city and people. Recent researches have highlighted the necessity of smart city projects to improve urban lifestyle for the growing population. Bangladesh is one of the most densely populated countries in the world. Despite being a developing country, Bangladesh still lacks a smart city. A smart city framework is required to ameliorate urban lifestyle. The purpose of this study is to address a conceptual framework for a smart city project focusing on sustainable development in Bangladesh. The research approach follows an exhaustive literature review to collect suitable information to design the new smart city framework. Necessary information to design a smart city framework such as the core smart city dimensions and the sustainability indictors are identified through the thorough literature review. From the extracted information a new smart city framework is developed focusing on sustainable development. The findings of this study offer a clear overview of the smart city core dimensions and factors that influence sustainability in a smart city. The research presents a smart city framework that can be followed in a developing country like Bangladesh.
Present Situation, Challenge and Future of Health Management about Complex Equipment
Authors: Zhang Peng , Wu Man , Xiong Fei 
Published: November 2020

Abstract
Recently, the public has focused on the safety and reliability of complex equipment such as aerospace. Health management about complex equipment contains state detection, fault prognostics, fault diagnosis and so on, and is the guarantee for accomplishment of space missions and the long-term operation of in-orbit spacecraft. Under the background, the development of prognostics and health management (PHM) technology, aiming at improving equipment safety and reliability, which can eliminate faults in the embryonic state, has a profound significance for condition monitoring and in-orbit maintenance of aerospace equipment. By analyzing the research status and application of PHM technology both at home and abroad, the manuscript majorly addressed the PHM technical framework and key technologies about spacecraft. In the meanwhile, integrated with cloud service platform for equipment management, the development tendency of PHM was forecast. At last, the existing challenges of PHM technology was expounded and corresponding countermeasures were put forward.
Applications of GIS-based “one map” System in the Management of Certification Factory Inspection Process
Authors: Zhang Xiaoying , Yu Wei , Hu Qunming , Zhang Haochen , Jiang Hua 
Published: November 2020

Abstract
Certification factory inspection is one of the most important processes of risk control and cost management of certification bodies. And the information technologies based on IOT and GIS can be adopted to build an information management system, which helps to improve the efficiency, reduce costs and increase the capability of risk management for certification. In this article, authors try to identify risks of factory inspection process using process method and explain how GIS-based “one map” system is developed to minimize risks. Important system functions of the automatic task-assignment, the optimal route-planning and the personnel positioning and tracking is also introduced.
Visual Online Debugging and Diagnosis System for Substation Secondary Equipment
Authors: Wei Jieru , Tang Yixin , Zhou Shaoliang , Chen Li 
Published: November 2020

Abstract
Firstly, based on the demand of substation “operation and maintenance integration”, this paper describes the necessity of constructing an efficient, flexible and reliable remote operation and maintenance system. Then, the realization architecture, characteristics and key technologies of the visual online debugging and diagnosis system with flexible configuration are proposed. The system realizes the remote operation and maintenance services such as remote debugging of secondary equipment, intelligent diagnosis, health status assessment and status prediction by using container technology, video processing technology, virtual liquid crystal technology, etc. The application practice shows that the visual online debugging and diagnosis system improves the standardization management and visualization of secondary equipment and optimizes the remote operation and maintenance mode.
Visualization Analysis of Top Papers in the Subject Category of Computer Science, Information Systems Based on ESI
Authors: Yuan Baozhong , Sun Jie 
Published: November 2020

Abstract
All of 1,647 top papers for Computer Science, Information Systems from 2009 to 2019, which included 1,642 highly cited papers and 32 hot papers. All papers were written in English, from 69 countries/territories and listed in 115 journals. Top 5 core journals were IEEE Communications Surveys and Tutorials, Information Sciences, IEEE Access, IEEE Internet of Things Journal, MIS Quarterly. The research was separated 9 clusters.
Adaptive STDM-Based PDF Documents Watermarking Algorithm Robust to Fixed Gain Attack
Authors: Liu Jingcai , Liu Naixi , Li Shundong , Wang Daoshun 
Published: November 2020

Abstract
Spread Transform Dither Modulation (STDM) has good performance in robustness against Additive White Gaussian Noise (AWGN) and re-quantization, so it has been widely used in image watermarking algorithms. However, STDM cannot resist Fixed Gain Attack (FGA). In the paper, we introduce an adaptive function into the traditional STDM algorithm, so that it can automatically adjust the amount of distortion according to the text line spacing in the document. Then we give an improved adaptive function to make our algorithm robust to FGA. Analysis and experimental results show that the algorithm proposed in this paper has good invisibility and high robustness against AWGN and FGA.
A Study on the Quantitative Viscosity Detection of Automobile Lubricating Oils Based on Near-infrared Spectroscopy
Authors: Yang Xingxing , Hu Zhui , Xu Qiang , Cai Zihao , Zheng Xiao , Xiong Lieqiang 
Published: November 2020

Abstract
A quantitative viscosity prediction of automobile lubricating oils was performed. The near-infrared spectra were preprocessed by using three different techniques, namely, multiple scattering correction (MSC), moving average smoothing (MAS), and Savitzky–Golay smoothing (SG). The characteristic wavelength was extracted by using three different techniques, namely, successive projections algorithm (SPA), synergy interval partial least squares (siPLS), and interval partial least squares (iPLS). The initial data of the viscosity of lubricating oils collected by near-infrared (NIR) spectroscopy were preprocessed by using two different optimization methods, namely, particle swarm optimization (PSO) and genetic algorithm (PA). Finally, the quantitative viscosity detection model of the lubricating oils was built by combining with support vector regression (SVR). The optimal technical route for modeling was explored.
Researchment of Mainlobe Anti-jamming Algorithms
Authors: Luo Zhangkai , Pei Zhongmin , Li Yinan , Wang Xinmin , Zou Bo 
Published: November 2020

Abstract
Main lobe interferences usually cause the distortion and peak offset of main lobe and the heighten of side lobe level in adaptive beamformers. The block matrix algorithm utilized the direction vector which was determined by both the antenna arrays and the direction of interference to eliminate the main lobe interference. But this algorithms is sensitive to the error occurred in the interference arrive angle and would consume the array of degrees of freedom. In this paper a new algorithm is proposed which projects the receive signal into a space which is orthogonal to the signal subspace to achieve the goal. The space can get by three steps. Frist we obtain eigenvalues by the decomposition of the covariance matrix of the snapshots to evaluate the noise power. Then we get a new matrix by removing the noise from the covariance matrix of the snapshots. At last we get the target space by conducting the singular value decomposition to the new matrix. Performance is mainly assessed in terms of the beamforming gain and the signal to interference and noise (SINR) ratio. The computer simulation shows the effective of this method.
Hybrid Scheduling Technology of Time-triggered Ethernet Switches: A Review
Authors: Ma Xiaofang , Hamdulla Askar 
Published: November 2020

Abstract
Switches are one of the key devices in the time-triggered Ethernet. It is very necessary to design high-performance switches to achieve high real-time data transmission. This article sorts out relevant documents on converters, and first introduces the development of avionics system networks. Then, based on Crossbar’s switch structure and related scheduling algorithms, compare the performance of different algorithms. Compare the performance of different algorithms. Secondly, it introduces the current research methods of TTE switches. Finally, it summarizes the future development direction of time-triggered switching hybrid scheduling technology.
Research on the Wind-induced Dynamic Response Analysis Method of the High-voltage Transmission Tower-line System under Strong Wind
Authors: Zhang Junqiang , Feng Wentao , Sheng Fei , Wang Tao , Zhang Jingyu , Zhao Mingxi , He Bo 
Published: November 2020

Abstract
It has always been a research hotspot in the field of the transmission engineering to research on the stability of high-voltage transmission lines under strong wind and establish effective measures to prevent the wind disaster. Wind disasters such as the structure deformation, tower collapse and line disconnection affect the safety of transmission lines seriously, which trouble the technicians a lot. The long-span, high-flexibility and strong coupling characteristics of the tower-line system itself determine that it is extremely sensitive to external random loads. From the theoretical perspective, effective conclusion of the analysis on the wind-induced response of the tower-line system can be obtained only by following the inherent coupling characteristics of the tower-line system, the spatial distribution correlation of the strong wind in the large field and the probability characteristics of wind-induced response closely, which is also the focus of this paper. A specific 220kV transmission line was chosen as the research object in this paper. First of all, a refined finite element model of the high-voltage tower-line system was established which takes the tower-line coupling factors into account. Then, considering the non-Gaussian and spatial distribution correlation characteristics, a numerical simulation method of the strong wind in large field was provided. On this basis, the comparative analysis of the wind-induced response of the tower-line system was completed and the probability density function of the key mechanical parameters of the tower-line system was established and analyzed finally. The models and methods proposed in this paper are verified to be correct and more close to the actual working conditions, which can provide reference for the study of the transmission line operation, maintenance and wind disaster prevention.
A New Method for Potential Evaluation of Compound Flooding of Tertiary Oil Recovery
Authors: Liu Zhaoxia , Wang Qiang , Luo Wenli , Gao Ming , Cai Hongyan 
Published: November 2020

Abstract
Compound flooding and tertiary oil recovery is one of the leading methods to improve recovery efficiency in oil and gas development in China, Because there are certain requirements on the exploitation environment and technology in the process of petroleum exploitation, it is necessary to evaluate and analyze the reservoir potential in advance. Currently, our research team has integrated this method into the tertiary oil production potential evaluation software EORSYS3.0. In this paper, a new combined flooding potential prediction model is established to improve the accuracy of reservoir potential prediction results by changing the reservoir water cut of displacement front viscosity.
The Innovative Application of Computer Image Processing Technology in Web Design
Authors: He Ting 
Published: November 2020

Abstract
In recent years, with the rapid development of my country’s network technology, the content of computer network technology has become more and more diversified. As one of the contents of network technology, web design has also received more and more attention from the people, and its development market prospects are extensive. In order to make web design more competitive in the development of computers, the application of computer image processing technology in web design has become an unstoppable trend.This paper mainly studies the application of image processing technology in the design of computer web pages. It elaborates and analyzes the image processing technology in computer web design, and then combines with the emerging semiotics to promote the further development of computer web design.
Design of Four Rotor Unmanned Aerial Vehicle Based on Open CV
Authors: Tang Lili , Huang Wei , Jiang Hongyang , Zeng Teng 
Published: November 2020

Abstract
This design is based on the OpenCV technology of the four rotor UAV, mainly by the control module and image module of two parts. The control module contains a STM32 micro controller, it can generate multiple PWM to control the motor to produce basic movements, while the body is equipped with three axis acceleration of three axis gyroscope MPU-6050 module, electronic compass, barometer and wireless communication module, and use STM32 to read sensor data for gesture calculation and control motor action; The image module is equipped with a ARM Cortex-A53 processor, running the Python-OpenCV operating system in the embedded Linux environment, OpenCV implementation of the UAV aerial features, in addition, the onboard Wifi module can be accessed by SSH remote desktop to obtain detection images, which can be widely used in security monitoring, exploration engineering, home security and other fields.
Survey of Crystal-Oscillator Based Reference Frequency Quadrupler for Frequency Synthesizer
Authors: Hu Xueyou 
Published: November 2020

Abstract
Implementing low phase noise frequency synthesizers often utilizing a high frequency reference input. This paper analyses the reason why increasing the reference frequency can improve the phase noise performance of frequency synthesizers, describes three state of art crystal-oscillator based reference frequency quadruplers, and then summarizes their performance, advantages, and disadvantages.
The Integration of Digital Media Technology and Graphic Design in the Internet Era
Authors: Han Lu 
Published: November 2020

Abstract
With the rapid development of economy, computer software technology has been used in various fields, different design software has different design functions and software characteristics, graphic design has begun to use a variety of computer image processing software for processing. The combination of computer graphic design and related design software can optimize the effect of graphic design. Taking graphic design as an example, this paper briefly analyzes some applications of computer software technology in graphic design.
A Safety Analysis Method of Airborne Software Based on ARP4761
Authors: Sun Rui , Zhong Deming , Li Weigang , Lu Minyan , Ding Yuxin , Xu Zhi , Gong Haoyuan , Zha Yun 
Published: November 2020

Abstract
Most of the functions of civil aircraft are achieved through software at present. Therefore, the safety of airborne software has become an important part of safety analysis. However, to achieve complex functions, the onboard software becomes very complicated, and it is usually difficult to guarantee safety. ARP4761(Guidelines and Methods for Conducting the Safety Assessment Process on Civil Airborne Systems and Equipment) is an important safety assessment guideline for civil aircraft, but it believes that software development can satisfy safety as long as the software development process complies with the software development standards, instead of incorporating the software into the safety analysis process. To improve airborne software safety, this paper proposes a safety analysis method based on the ARP4761 process which is tailored to adapt to the software. In the software requirements and design, the method uses FHA(Functional Hazard Assessment) to analyze the hazards of the software and define the hazard levels, then use FTA(Fault Tree Analysis) to build a software fault tree, and carry out CCA(Common Cause Analysis) analysis based on the fault tree; after the software development is completed, the method uses FMEA(Failure Modes and Effects Analysis) and FMES(Failure Modes and Effects Summary) to summarize the failures of the software and return these failures to the fault tree to determine whether the software can meet the defined requirements. At the end of the article, an anti-icing software is used as an example to explain the process and effectiveness of the method.
Low Complexity Anti-Interference Transmission Model in Massive MIMO Systems
Authors: Cheng Tongtong , He Yigang , Ali Farhan 
Published: November 2020

Abstract
With the development of wireless communication, wireless communication technology plays an irreplaceable role in modern instrument measurement and communication. However, the complex electromagnetic been an important factor affecting wireless communication quality with the number of devices increasing. Especially in the industrial field and modern city, electromagnetic interference (EMI) is a serious issue in wireless data transmission. Besides, user interference will also reduce the communication performance with the increasing number of equipment users. In this paper, a low-complexity data transmission model is proposed. First, the direct sequence spread spectrum (DSSS) technology is utilized to oppose narrowband electromagnetic interference and noise interference. Nevertheless, the DSSS be affected by multi-user interference (MUI) due to the number of users increasing. Based on DSSS and ZF precoding, the DSSS-ZF structure is proposed to resist interference. The simulation platform utilized the Software Defined Radio (SDR) and channel emulators (CE) to measure our DSSS-ZF model. The results show that the DSSS-ZF structure model can effectively defeat interference and improve the reliability of communication in complicated electromagnetic environment.
Real-Time Vehicle Taillight Recognition Based on Siamese Recurrent Neural Network
Authors: Liu Ming , Liao Bingyan , Wang Chenye , Wang Yayun , Wang Yaonong 
Published: November 2020

Abstract
Vehicle taillight recognition has been well investigated recent years. However, few methods can be applied in practical because of the time consumption or less recognition accuracy. In this paper, we design a light-weight framework for vehicle taillight recognition in real-time, which is divided into detection and recognition stage. To achieve this purpose, Finer Detection Block and dense anchor regression are utilized to improve the robust of detection stage. In addition, a Siamese CNN-GRU network is proposed, which not only captures the short-time difference but also learns the long-time flash features. We conduct ablation experiments to verify our proposed method, which obtains a mean recall of 94.34% with 103 FPS on 1080Ti.
The Application of Elman Neural Network in Uninterrupted Maintenance of Power Grid
Authors: Cao Minggui , Xu Aidong , Jiang Yixin , Wang Qianru , Wang Zhen , Zhang Yunan , Wen Hong 
Published: November 2020

Abstract
Uninterrupted Maintenance of power grid is the development direction of power grid . Electricity load forecasting is the basis for non-stop maintenance and the key to power grid load migration. Therefore, this paper analyses the plans and requirements of non-stop maintenance and predicts the grid load based on the Elman algorithm, by which the load forecasts are given. A load migration model is proposed, which can select the optimal low-load area in all areas to meet the business needs of non-stop maintenance.