bluuebunny/crossref_metadata_2025_split huggingface dataset:
Finding Novelty of Research with Systematic Literature Mapping (SLM)
Authors: Cahyo Winda Nur 
Published: February 2021

Abstract
The most challenging process in research at any fields is finding the novelty of the research being conducted. There are many models (such as SLR (Systematic Literature Review), K-Chart, Card System, Decision Tree, Mind Mapping) have been proposed in order to coup with this obstacle. However, most of the tools or models fails to fulfil the need of some researcher to visually present the complex result of literature review. This research proposes SLM (Systematic Literature Mapping), a proposed model that is able to visually present the result of a complex literature review in the form of a decision tree. The model is a combination of SLR (Systematic Literature Review) that has been well-known by researcher, with K-Chart. To verify the new proposed model, a case study is presented in this paper. The objective of the case study is to find the novelty in overhaul scheduling in a sugar milling industry in Yogyakarta.
Designing user interface of web-based e-commerce application
Authors: Heriyandi A , Reza R F , Albar C N 
Published: February 2021

Abstract
This study aims to provide guidance and examples in designing web interface of e-commerce applications that are good and easy to use by the users. This research used descriptive method by making a systematic description of the facts that refer to the object of research. Data collecting was carried out through literature study from journals, learning materials, and curriculum data. The result is that if users find it difficult to operate an application, the application will immediately be abandoned. In conclusion, this design has fulfilled the basic requirement of comfortable design and practibility.
Website-based Al-Quran memorization monitoring and evaluation system design
Authors: Suryana T , Oktaviany I , Dewi N P 
Published: February 2021

Abstract
This research aims to describe and analyze the system of monitoring as well as evaluating the progress of memorizing the Qur’an. Literature study, observation, and system design are used as methods in this research. With this method, we can create an accurate information system about the monitoring and evaluation of the progress in memorizing Al-Quran. As the results, this study obtained data such as the condition of the average number from Al-Quran memorization student (hafidz) and their progress. The creation of a monitoring system is very important because it can help the teacher to make decisions about what memorization methods need to be applied.
An Experimental Study of the Savonius Water Current Turbine by means of Myring Equation for n = 1
Authors: Setiawan P A , Santoso M , Indarti R , Ariwiyono N , Yuwono T , Widodo W A 
Published: February 2021

Abstract
This work has been done experimentally to the Savonius water current turbine by means of Myring equation for n =1. The myring for n=2 is called the conventional turbine with half circle or bucket. Experiment is tested in flume tank by 1.1 m of wide and 0.8 m of height. The free stream velocity is 0.22 m/s measured at 1.5 m from nozzle. The model is the Myring equation with n=1 by 0.4 m of height and 0.4 m of turbine diameter. The experimental study has investigated the torque coefficient and the power coefficient. The power coefficient has been called the performance coefficient. The experimental results shows that the Myring formula n = 1 have the performance coefficient higher than the conventional blade. The myring blade for n = 1 increases in about 42.88 % compared to the conventional blade.
Four-scroll chaotic attractor and four-scroll hyperchaotic attractor generated from a new four-dimensional dynamical system
Authors: Benkouider Khaled , Bouden Toufik , Yalcin Mustak E. , Sambas Aceng , Mujiarto  , Pahmi Muhamad Ali , Sutoni Akhmad , Widjajani  
Published: February 2021

Abstract
In this paper, a new 4-D hyperchaotic system with one equilibrium point is first introduced. It contains ten terms with three quadratic nonlinearities. Of particular interest is that this novel system can generate periodic attractor, quasi-periodic attractor, four-scroll chaotic attractor and four-scroll hyperchaotic attractor with the variation of one of its parameters. Major dynamical properties of the new system are investigated such as sensitivity to the initial conditions, dissipativity, equilibrium point stability, Kaplan-Yorke dimension, Lyapunov exponents spectrum and bifurcation diagram. In addition, an equivalent electronic circuit schematic is implemented using Multisim software; the obtained results confirm the feasibility of the proposed system.
Bending analysis of simply-supported sandwich beam using Chebyshev quadrature element method
Authors: Ge Meng , Zhao Yang , Huang Yixin , Ma Wenlai 
Published: February 2021

Abstract
Based on the higher-order sandwich beam theory, the Chebyshev quadrature sandwich beam element is established for the bending analysis of the simply-supported sandwich beam. Gauss Lobatto sampling is adopted as element nodes. The discrete governing equation of the sandwich beam is obtained by the principle of minimum potential energy. A series of numerical examples are carried out on simply-supported sandwich beams under sinusoidal loading. The results are compared with the finite element method, showing that the proposed method can yield very accurate displacements and stresses. This method is suitable for the static analysis of simply-supported sandwich beams with different materials and different geometric parameters.
Design of picking seedling device for plug seedling transplanter
Authors: Ge R Y , Kong B B , Wu J L 
Published: February 2021

Abstract
Plug seedlings are the main way of modern seedling cultivation in China. Aiming at the problems of low efficiency, high labor intensity and poor work quality for manual transplanting or semi-automatic transplanting of plug seedlings, a stable and efficient seedling picking device is designed for the automatic transplanting machine. It is based on the gear-cam-link composite mechanism to realize the seedling trajectory in accordance with the agronomic requirements. The mathematical model of the seedling picking device is established, and the theoretical profile equation of the cam groove and the actual picking trajectory equation are deduced. The 3D model and the virtual prototype model of the picking seedling device are constructed, and the simulation trajectory is obtained, using SolidWorks and ADAMS software. The simulation results show that the simulation working trajectory has good consistency with the theoretical trajectory.
Multi-target UAV path planning based on improved RRT algorithm
Authors: Ren Xueping , Tan Li , Jiaqi Shi , Lian Xiaofeng 
Published: February 2021

Abstract
When the Rapidly-exploring Random Tree (RRT) algorithm in the global path planning algorithm is used for autonomous online path planning of UAVs, there is a problem that the optimal path cannot be obtained. An improved RRT algorithm is proposed, including The dynamic constraints, heuristic search strategy, dynamic step fusion strategy, and the improvement of the selection method of changing new nodes under specific conditions. The simulation results show that the improved RRT algorithm can meet the premise of UAV dynamic constraints. Next, the optimal path planning for multiple goals is realized, especially in reducing the nodes in the random tree.
The effect of wall temperature on three-dimensional rotating detonation wave
Authors: Liu Pengxin , Li Chen , Sun Dong , Guo Qilong , Zhao Wei 
Published: February 2021

Abstract
The effect of wall temperature on the three-dimensional rotating detonation wave in an annular chamber is investigated by utilizing premixed hydrogen/air as the reactant and the improved delayed detached-eddy simulation method to evaluate the turbulent transportation. Four cases are set with different wall temperature, i.e. adiabatic wall, isothermal wall with 400K, 800K and 1200K. When using isothermal wall, there is no reactant deficit zone which appearing in the case with adiabatic wall. As the wall temperature increasing, the leading oblique shock will form at both side of the detonation front. When comparing the specific impulse with the adiabatic case, all the three isothermal cases have a better performance. And the lowest wall temperature case shows the highest specific impulse.
Investigation on noise generation of open cavity flow using Lagrangian coherent structures
Authors: Han Shuaibin , Luo Yong , Li Hu , Wu Conghai , Zhang Shuhai 
Published: February 2021

Abstract
The noise generation mechanism of an open cavity flow is investigated using Lagrangian coherent structures (LCS) together with dynamic mode decomposition and Helmholtz decomposition methods. The flow field of an open cavity with the length-depth ratio L/D = 2, Mach number Ma = 0.8 and Reynolds number Re = 2500 is first obtained through direct numerical simulation with 5-th order weighted essentially non-oscillatory (WENO) scheme. LCSs are then obtained from flow field reconstructed by the mean velocity field and the decomposed modes. The interactions between LCSs inside the shear layer and the squeezing zone are found to be important sound sources. The method efficiently isolates the structures responsible for the noise generation.
Development of unsteady background-oriented schlieren system in an indraft supersonic wind tunnel
Authors: Li Guoshuai , Wu Jifei , Kontis Konstantinos , Wit Stryczniewicz , Fan Zhaolin 
Published: February 2021

Abstract
To visualize the flow in the test section of an indraft supersonic wind tunnel in the University of Glasgow as long as possible, a background-oriented schlieren system was built up preliminarily. A MATLAB program based on a random dot algorithm developed in this study provides a fully customizable tool to generate background patterns with different sizes and dot densities. Background patterns produced by the in-house developed program then can be printed by a common ink-jet printer. To enhance the signal-noise ratio of the measurement system, white reflective film sheets, or semi-transparent paper can be employed. The correlation algorithm base on fast Fourier transform that is also applicable for PIV was chosen to process background oriented schlieren images. A validation test was performed to visualize the flow structure around a Pitot tube at M = 2.0. The experimental result proves that the BOS system established in this study is capable of visualizing the supersonic flow structure around the Pitot tube and sensitive enough to reveal weak density changes produced by the boundary layer, expansion waves, and weak oblique shock waves. Next, the current BOS system will be improved further by increasing the intensity of light sources to shorten the exposure time, using new cameras with better spatial resolution, and optimizing the background pattern.
Carrier phase double-difference GNSS spoofing detection technology based on generalized likelihood ratio
Authors: Yin Jidong , He Le , Lai Xuyang 
Published: February 2021

Abstract
In recent years, with the wide application of Global Navigation Satellite System (GNSS), the security problem of GNSS has attracted wide attention. Spoofing interference will become an important threat to the security of satellite navigation information because of its concealment. In this paper, we propose a new double antenna structure spoofing interference detection method according to the spatial characteristics of GNSS signal. The test statistics are constructed by the generalized likelihood ratio (GLR) theory, and the GNSS spoofing interference detection methods under the same direction spoofing interference and different direction spoofing interference are obtained respectively. The feasibility of this method is verified by simulation.
Research on dispersion control technology of thulium-doped fiber laser
Authors: Zhang Ning , Chen Bingjun , Chen Ming , Sun Huijuan , Luo Yang 
Published: February 2021

Abstract
Rare earth doped optical fibers have important applications in fiber lasers, amplifiers and sensors. The Tm-doped fiber laser made with Tm-doped fiber as gain medium can be used in optical communication system. Because the fiber itself has a cylindrical waveguide structure and the core diameter of the fiber is very small, it is easy to achieve high energy density pumping in the fiber. Fiber laser has low laser threshold and good heat dissipation performance, and its core diameter matches well with the communication fiber, forming the integration of transmission fiber and active fiber, which can be an important basis for all-optical communication. However, due to the dispersion of Tm-doped fiber laser, it will lead to the broadening of laser pulse and the degradation of laser quality, which seriously affects the quality of laser communication. In this paper, the causes of dispersion are analyzed, and a dispersion adaptive control system is designed. The experimental results show that the proposed dispersion compensation system can compensate the dispersion produced in the optical fiber laser to a certain extent, so that the laser pulse can return to normal state.This is of great significance for optical communication systems.
Multi-agent economic analysis in coping with novel corona-virus pneumonia
Authors: Chen Wenjing 
Published: February 2021

Abstract
This paper aims to find a way of allocating masks appropriately during the outbreak of COVID-19. By considering the goals of different perspectives such as mask producers, mask consumers and countries’ government, this paper constructs some mathematical models in order to maximize each group’s objective function. The model takes an assumption that the masks produced are all allocated without friction cost. Based on the model, it is demonstrated that the government plays an important role in mask allocation only after the initial stage of the outbreak of Covid-19. It is also shown that the optimal allocation plan of the mask market is influenced by the government action even if we do not consider direct interference of the government on the market, such as taxes, or price celling.
Research on cloud forging resource service selection optimization based on genetic algorithm
Authors: Zhou Kaijun , Hu Jichuan , Li Yuan , Wang Qian , Tong Yifei 
Published: February 2021

Abstract
As a concrete manifestation of “manufacturing as service”, cloud forging is a cross-integrated product of advanced manufacturing, information and emerging Internet of Things technology. To make full use of the manufacturing resources of cloud forging, it is of great importance to optimize the resource selection before scheduling. This research proposes a cloud forging resource service optimization strategy based on genetic algorithm. Taking into account the characteristics of cloud forging resource service optimization, sharing cost, interaction time, and service quality are selected as the three preferred indexes of cloud forging resource service, and these three indexes are quantified. The genetic algorithm is used to solve the cloud forging resource service optimization model, and the cloud forging resource service with the best performance is selected. Finally, an example is used to verify the effectiveness of the proposed method.
Research on the real-time positioning method of vector buoys in deep sea
Authors: Wang Zhizhuan , Zhang Mingwei , Li Ling , Li Guijuan , Chen Yunfei , Zhang Xuegang 
Published: February 2021

Abstract
Buoys are generally difficult to anchor in Deep-sea environment, at the same, due to the influence of long-term in the ocean environment, the location relationship between each other buoys will change, which may cause the traditional predicted method of buoy system trapped in losing efficacy. This paper researched on the problem of the buoy baseline length vary positioning method applicability, on the basis of this study, focused on the theoretical analysis and simulation of applicability to different positioning method. Following this, a realtime positioning method based on vector buoys system in deep sea is presented. Covered the applicability shortage of traditional underwater acoustic passive positioning, used multiple vector buoys to locate the target jointly, and provide a theory basis for real-time positioning function of vector buoys in engineering. The simulation results show that this method is feasible and effective.
Model Construction and Simulation of Switched Reluctance Motor Based on MATLAB/S Function
Authors: Sun Baojiang , Wang Jianhui 
Published: February 2021

Abstract
According to the mathematical model and direct torque control method of switched reluctance motor, the principle of direct torque control is introduced, and the overall simulation model is built under the matlab/Simulink environment. The complete program code is compiled by using M file, and then debugged and run. The results show that the control method and S function are reasonable and effective, and the torque ripple is small, so it can provide reference for the control of solid switched reluctance motor.
Prediction Model of Hypertension Complications Based on GBDT and LightGBM
Authors: Ji Xinpeng , Chang Wenbing , Zhang Yue , Liu Houxiang , Chen Bang , Xiao Yiyong , Zhou Shenghan 
Published: February 2021

Abstract
Complications caused by hypertension include heart failure, stroke, arteriosclerosis, etc. The prediction of hypertension complications is a hot issue, and it is difficult to predict it from a medical perspective. In this study, we aim to establish a prediction model of hypertension complications based on machine learning and data mining. We first proposed a GBDT-based feature selection method, which can screen out medical indicators that affect the hypertension complications. On this basis, we established a hypertension complications prediction model based on LightGBM. The results show that after 10-fold cross-validation and comparison analysis, the accuracy, F1 and AUC of the prediction model are 0.9189, 0.8888, and 0.9233 respectively, which are significantly better than other machine learning models. Therefore, the proposed method can accurately predict hypertension complications, so as to provide effective clinical auxiliary diagnosis for doctors and help them take preventive measures to reduce the impact of hypertension complications.
A Monte Carlo Simulation Study on: Deposition, Diffusion, and Aggregation
Authors: Chen Lei , Tan Nongdie , Ye Xianglin , Wu Wandi , Xiong Hailing 
Published: February 2021

Abstract
In this paper we present a Monte Carlo simulation program to implement a single model: deposition, diffusion, and aggregation (DDA). By using the simulation program, we show in the following that the DDA model generates a wide variety of fractal structures characteristic of different models such as diffusion-limited aggregation (DLA) or cluster-cluster aggregation (CCA), but such DLA and CCA models do not incorporate the possibility of cluster-mass dependent deposition. Starting from those kernels, aggregation laws to describe the interaction between free and deposited clusters were proposed and a simple cluster-mass dependent deposition law was employed. The simulation results are then discussed in the frame of the relative strength of parameters.
A Neighbourhood Encoding Framework for Deep Mining Heterogeneous Texts in Recipe-image Retrieval
Authors: Zhu Changsheng , Ji Nan , Yu Jin , Jiang Dazhi , Zheng Lin 
Published: February 2021

Abstract
Cross-modal retrieval usually fills the semantic gap between different modalities by sharing subspaces. However, existing methods rarely consider that the data in a certain modality may be heterogeneous when mapping multimodal data into a shared subspace. In addition, most existing methods focus on semantic associations between different modalities, while few approaches consider the semantic associations within a single modality. To address the above two deficiencies, we propose a Neighbourhood Encoding (NE) framework that mines the semantic association of data in the same modality, solves the problem of data heterogeneity by improving the semantic expression of a single modality. To verify the effectiveness of the proposed framework, we use two types of recurrent neural networks to instantiate the framework. Experiments show that the instantiated approaches outperform existing advanced methods in both text-to-image and image-to-text retrieval directions.
Data Analysis for Risk Prediction of Cervical Cancer Metastasis and Recurrence Based on DCNN-RF
Authors: Zhou Xiaohong , Li Weihong , Wen Zhicheng 
Published: February 2021

Abstract
In allusion to the problem of the low survival rate of cervical cancer metastasis and recurrence, combining the advantages of deep learning, a hybrid DCNN-RF method based on patched pathological image was proposed to predict the risk of metastasis and recurrence in cervical cancer patients. In order to improve the generalization ability of the model, according to the features, predicting result could be obtained from random forest, and the integration result was invoked as the result of haematoxylin and eosin pathological whole-slide images (WSI). The experimental results show that the model yielded an accuracy of 90.32% for prediction based on sliding window in cross-validation, and 0.83 AUC in the WSI.
Agent-based MULTI-USV Intelligent Command and Control Cooperative System
Authors: Song Yang , Chen Jian 
Published: February 2021

Abstract
This Paper on the basis of analysing the USV characteristics and Agent technology, inducts the Agent technology into the USV command and control cooperative system. According to the process of operation and command, set up the Agent architecture of the USV. Even more, set up the multi-USV command and control cooperative system. The system can control multiple USV simultaneously and make the USV have a high adaptation to the changing war environment.
5G Transceiver Component Cell-packing Fabrication for Wireless Data Transmission Using LTCC Technology
Authors: Liu Junchao , Liu Shuai 
Published: February 2021

Abstract
As an attractive electronic component fabrication method, LTCC technology has been widely used for the creation of highly integrated components in advanced manufacturing field. In this paper, a fabrication method of 5G transceiver component cell-packing was presented using LTCC technology. RF and capacitor chips were also bonded to the cell-packing for electrical performance test. The experimental results showed that the actual dimensions of cell-packing had little differences from the design dimensions, and the cell-packing coating had good solderability. Through electrical performance test, the core electrical performance indicators of 5G transceiver component, such as signal gain and output power, were reasonable over the whole operating frequency band. It indicated that the cell-packing can be applied to 5G transceiver component in satellite communications for wireless data transmission.