bluuebunny/crossref_metadata_2025_split huggingface dataset:
Physical model setup and tests on cooling circulation water pumping intake system
Authors: Lee Fong-Zuo , Lai Jihn-Sung , Katayama Keiichi , Tomimatsu Shigeyuki , Yang Shu-Yuan 
Published: May 2022

Abstract
The thermal power plant built by the Taiwan power company intends to use multiple cooling circulation water intake systems to introduce seawater from adjacent sea areas. The water in the front pool of the water inlet is introduced into the pump chamber through the large pump in the circulating water pump sump. The primary function of the pump chamber is to provide a stable and uniform flow condition before the large pump sucks in the seawater. When the hydro-dynamic conditions outside the pumping station are not ideal, and the inflow is relatively unstable, the pumping chamber can provide a buffer space for rectification. In addition, when the flow field near the suction intake of a large pump can maintain a certain degree of stability in space and time, it can reduce the frequency and intensity of the vortex or other harmful factors caused by the flow field. Moreover, a pump sump flow field can also maintain the pump's working efficiency, reducing vibration and maintenance costs. Although the relevant design standards such as the Hydraulic Institute (H.I.) standard in the United States or the British Hydromechanics Research Association (B.H.R.A.) standard in the United Kingdom can be consulted for different types of pumping room geometric layout planning and design recommendations. However, most design references are obtained from the boundary conditions of general cases. Therefore, these design criteria indicate that when the pump room geometry and flow conditions have special considerations or detail design, physical model tests should be conducted to verify it or correct the layout according to the model test results. Because the fluid mechanisms involved in the relevant research are complex, the current theoretical or numerical models are not enough to fully simulate flow fields. Therefore, it is necessary to conduct a physical model test based on the feasibility model scale. Based on the similarity theory to scale down prototype structures, the flow mechanism of preliminary design is reproduced, and the revised plan is also verified in the physical model to satisfy the project objectives. The qualitative flow field visualization method was used to observe the free surface vortex, subsurface vortices, and the swirl angle in the suction pipe under different layout schemes at each physical test case. The tested results show that the flow pattern and vortex strength are both acceptable with designed anti-vortex devices.
Effect of guide vane on the performance of a sail wing turbine for wave energy conversion
Authors: Iitsuka H , Takao M , Alam M M A , Okuhara S , Taniguchi H , Matsuura S 
Published: May 2022

Abstract
In an Oscillating Water Column (OWC) based wave energy plant, the sea wave motion is used to drive an air column in an air chamber and that results in a bi-directional airflow. An air turbine for bi-directional airflow is used to convert the pneumatic energy into mechanical energy. The sail wing turbine can be used as an air turbine for wave energy conversion because it has a special structure in which the shape of the sail changes in reciprocating airflow and always can rotate in the same direction. In addition, the sail wing turbine does not experience the stalling effect and can acquire energy at a wide range of rotational speed and flow rate. In our previous studies, the performance of the sail wing turbine for bi-directional airflow has been investigated by using a wind tunnel test. In the present study, in order to further improve the performance of the sail wing turbine, guide vanes were installed, and the effect of the guide vane on the performance was investigated by a wind tunnel test and a computational fluid dynamics (CFD) analysis under a steady flow condition.
Impact by double scroll on variable geometry turbine performance
Authors: Kobayashi T , Morita I , Nagao K , Bamba T 
Published: May 2022

Abstract
This paper describes the numerical study for the development of a double scroll(DS) turbine stage combined with a variable geometry system (VGS). Our conventional VGS turbine stage is composed of a mono-scroll housing, variable nozzles and a turbine wheel. A potential to improve engine performance by applying a DS with VGS turbine stage (DS-VGS) was shown by the study. In addition, a DS-VGS has some advantage in the layout for V type engine. Therefore, this study has focused on clarifying the characteristics of aerodynamic performance of a DS-VGS, since the understanding of these fundamental characteristics is important for product development. The differences of performance between a mono-scroll with VGS and a DS with VGS were evaluated as the starting point. In the development for a vaneless DS turbine so far, it has been clarified that the distance from tongue to turbine wheel is one of the important parameters for performance. Therefore, numerical simulations were performed with different tongue-to-nozzle distances. Further, from reliability point of view, the influences of a DS on nozzle moments and aerodynamic forces on nozzle have been examined. The interesting characteristics of a DS-VGS compared to a mono-scroll with VGS are shown.
Modeling and Investigation of the Reduction Zone in A Downdraft Biomass Gasifier
Authors: Zhou Junjie , Han Kui , Tang Songzhen , Tao Wu , Fu Weidong 
Published: May 2022

Abstract
The fixed bed gasifier has simple structure, convenient operation and maintenance, and is suitable for use in rural areas. In this paper, a downdraft fixed bed gasifier was designed for biomass gasification using corn cob as raw material. COMSOL Multiphysics software was used to simulate the reduction zone of biomass gasifier. The temperature field and concentration distribution of the reduction zone were studied. The influence of structural parameters of the reduction zone on the composition of syngas was analyzed. The rates of major chemical reactions in the reduction zone were also compared in detail.
Simulation Research on Phase Locking Technology Based on Modified DSOGI-PLL
Authors: Huang Yubo , Zhang Jundong , Chen Dong , Jia Zhiwei 
Published: May 2022

Abstract
For complex working conditions in power grid, it is easy to produce a large number of harmonics, and the double second-order generalized integrator phase-locked loop (DSOGI-PLL) cannot effectively suppress low-order harmonics, a new DSOGI-PLL based on modified sequential cascaded harmonic cancellation module is proposed in this paper. By designing a harmonic cancellation module that eliminates specific frequency harmonics, different frequency harmonic cancellation modules are cascaded in order from small to large to eliminate low frequency harmonics near the basic frequency. By building the simulation model, the comparison analysis verifies that the modified DSOGI-PLL has higher accuracy in tracking the frequency and phase of the voltage signal, and is more suitable for the power grid.
Modeling of Direct Drive Wind Turbine for Wide-band Oscillation Analysis in Large Power Grid
Authors: Gao Feng , Zhang Weiwei , Shi Hongtao 
Published: May 2022

Abstract
Aiming at the problem of wide-band oscillation caused by power grid with high proportion of direct drive wind turbine (DDWT), a transient model of DDWT for wide-band oscillation analysis is established in this paper. Firstly, the mechanism and key factors of wide-band oscillation occurred in large power grid with high proportion of DDWT was analyzed. Secondly, the model of DDWT was established by simplifying the full electromagnetic transient model of DDWT while the key factors of wide-band oscillation mode were retained and the secondary factors unrelated or weakly related to wide-band oscillation mode were ignored. Finally, the simulation result shows that the model can improve the convergence and computational efficiency of the simulation analysis and ensure the accuracy of the simulation result at the same time, and can be applied to the simulation analysis of wide-band oscillation occurred in large power grid with high proportion of DDWT.
An Improved Model for Predicting the Trapped Annular Pressure in the Deepwater’s Annulus Containing Foam Material
Authors: Chen Xingwang , Gao Baokui , Zhang Yihan , Zhang Yanhuan 
Published: May 2022

Abstract
An improved model for calculating the trapped annular pressure in deepwater was created in order to precisely estimate the trapped annular pressure using foam materials. the model fits the pressure-volume experimental data using the constitutive equation of foam material put forward by Goga V. A temperature influence factor is calculated to explain the effect of temperature. During calculation, the annulus is divided into segments for the calculation, the variable temperature is loaded in increments, and the pressure is calculated using the method of bisection. Through an example, the effect of foam volume on the results of annular pressure is analyzed, and the improved model is compared to the prior model. The results show that the actual annular pressure does not increase monotonically with the wellbore temperature due to the decrease of foam material’s crushing pressure caused by the temperature increase, but there will be a small decrease. And foam material has good applicability and strong effect in the mitigation of trapped annular pressure in deepwater.
Equivalent Modulus and Mass Loss of C/C-SiC Gradient Matrix Composites at High Temperature
Authors: Li Zhaoyi , Liang Wei , Liu Yufeng 
Published: May 2022

Abstract
The oxidation at high temperature of carbon fiber reinforced carbon-silicon carbide (C/C-SiC) gradient matrix composites results in structural damages and performance degradation. Oxidation kinetics model of C/C-SiC gradient matrix composites was built. A representative volume element (RVE) was established according to the microstructure of the composites. The evolution law of the structure characterization of the composites and the mass loss model were derived from the oxidation kinetics model. And equivalent elastic modulus with oxidation time at different temperatures and coefficient of thermal expansion(CTE) at different temperatures were calculated by RVE. The results show that the equivalent elastic modulus decreases with oxidation time and increases rapidly after the crack heals. The higher the temperature, the lower decreasing rate. And the equivalent CTE increases with temperature, while the increasing rate decreases with temperature. The calculated result of mass loss is consistent with the previous research.
Design, Modeling and Motion Simulation of a Setback Arming Mechanism under Weak Acting Forces
Authors: Lv Bing , Wang Dongya , Zhang Zhenze , Sui Li 
Published: May 2022

Abstract
A parallel two-degree-of-freedom (two-DOF) setback arming mechanism was designed in this study according to acceleration signal characteristics of weak launch and service conditions. A model of an inertia switch with a low g-feature was designed to be used in the electromechanical fuze of the proposed mechanism. Simulations were conducted to analyze the motion characteristics of the inertia switch that was based on the parallel two-DOF spring-mass system under the launch overload and the service dropping overload. The reliability and safety of the inertia switch were validated.
Fractal Dimension Calculation Method from NMR Measurement and Its Application
Authors: Song Xiaodong , Tan Maojin , Wang Zhizhan , Xie Guanbao 
Published: May 2022

Abstract
The pore structure of organic shale with nano-scale pores is important for reservoir evaluation. Fractals shows the self-similarity of shale rocks and can reflect the pore structure. The fractal dimension of organic shale from nuclear magnetic resonance (NMR) measurement was studied and some equations were directly derived based on NMR transverse relaxation time (T2) distribution. In a case study, the fractal dimensions were calculated by the proposed method and numerical simulation, and the formation cementation index in Archie equation for saturation evaluation was calculated from the fractal dimension of NMR logging. The comparison of calculated water saturation and the core experiment result prove that the proposed method is more effective than the previous Archie’s equation with default cement index.
Exploiting Reservoir Computing for Optical Secure Communication
Authors: Tang Qianfeng , Xie Yiyuan , Jiang Xiao , Liu Bocheng , Chai Junxiong , Ye Yichen , Song Tingting , Feng Manying 
Published: May 2022

Abstract
A reservoir computing (RC) based on vertical cavity surface emitting laser (VCSEL) subjected to optical feedback is adopted to realize chaos synchronization in optical chaotic communication. Combined with the application of chaos masking (CMS) technology in chaotic secure communication, chaotic signal generated by distribution feedback (DFB) laser after optical feedback and optical injection, that is used as chaotic carrier of hiding original information, and act as target signal of the RC. Then masked information is used for RC training and transmission. Next, utilizing the weights and error offsets trained out by RC at transmitter, carrier can be reconstructed by RC at receiver. Finally, message is acquired by subtracting the reconstructed carrier from received masked signal. Taking image data transmission in 10 km fiber as an example, the chaos synchronization between the carrier signal and the constructed carrier signal is 0.9935, Q-factor is 10 and bit error rate (BER) is 5×10-28 with simulation.
Carrying Capacity Calculation Method Based on Operation Chain and its Application
Authors: Xu Jinchen , Li Xiaohong , Sun Wanhua , Wu Yizhi 
Published: May 2022

Abstract
Railway border reloading station is an important node of the interconnectivity of international railway transport corridor, which overall carrying capacity is critical to keep the corridor unblocked. Compared with general technical stations, the organization of cargo reloading at the station definitely has an impact on transport efficiency and capacity in addition to arriving, departing and conventional technical operations. By analyzing the operation steps and characteristics of railway border reloading station, the concept of overall carrying capacity was defined and its composition was confirmed. Based on this, the operation chain analysis method of the overall carrying capacity of the border reloading station was developed. Then we conduct a case study of Erlian station. Five operation chains were built to calculate the overall carrying capacity and identify the bottleneck. The operation chain analysis method proposed in this paper overcomes the defect of not considering the impact of the reloading operation on station capacity in the existing general technical station transport capacity calculation method. It can comprehensively consider the facilities and equipment of the station and the current traffic flow, so as to accurately find the weak links among them and provide a basis for the improvement of the transportation organization. Therefore, the conclusion is more scientific and reasonable.
Research on LncRNA and Disease Associations Prediction Base on Data Mining
Authors: Jia Fengjiao , Jiang Shaohua , Wu Zaoyang , Liang Yigao 
Published: May 2022

Abstract
The accumulated experiments show that lncRNA has a role in biophysiological and case processes. Prediction of the relationship between diseases and lncRNA will contribute to clarify the etiology of diseases, develop new drugs and treat complex diseases. However, the traditional biological experiment method has long experiment period and high cost. Therefore, based on existing biological data and biological experimental data, data mining techniques have been used to propose many models and methods to predict the lncRNA-disease correlation. This article will provide a specific introduction to lncRNA and disease-related databases, which summarizes some relevant predictions classical models (matrix factorization, heterogeneous networks, machine learning). At the end of the article, the problems of lncRNA and the current prediction of the disease are analyzed, and some ideas and help are provided for later researchers.
A Mathematical Model for the Routing Optimization Problem with Time Window
Authors: Cheng R , Lu X , Yu X 
Published: May 2022

Abstract
This paper establishes a mathematical model for the routing optimization problem. Then, the model is solved by a genetic algorithm. Finally, to verify the proposed method, a case study is carried out. According to the results, the proposed model and algorithm can be used to solve the problem and obtain the optimal vehicle route with minimum time cost and travel distance.
Research on Optimal Allocation of Flight Slots Based on Wake Interval Constraints
Authors: Zou Guoliang , Hou Jia , Geng Xi , Wang Qiang , Luo Yao , Liu Jihong 
Published: May 2022

Abstract
The limited airspace of civil aviation cannot meet the demand for airspace due to the rapid increase in flight volume. This is one of the main reasons for flight delays. This forces us to carry out flight flow management, and the main means of flow management is the resource of flight slots. Optimize the configuration to relieve the moments of “congestion” and the moments of “digging” that are not fully utilized. According to the feature that different types of aircraft need to be equipped with different wake intervals, the article establishes a flight schedule optimization model and develops a flight schedule optimization system. Taking a double runway hub airport as an example, experiments show that the proposed method can effectively alleviate flight delay and reduce flight delay rate.
Complex Scene Segmentation Network Based on Multi-scale Encoding-decoding Architecture
Authors: Ren Shasha , Zhang Xiaodong 
Published: May 2022

Abstract
With the progress of artificial intelligence, the study of scene segmentation for complex scene understanding is of great significance. Due to the large number of activities, there are many target categories, large scale changes, many mutual occlusions, difficult target recognition, and large data labeling costs. In order to achieve accurate understanding of the complex scene, this paper proposes to add a scale adaptive feature module on the basis of Encode-Decode, so that the network can make good use of the features and context information of each level to effectively adapt to changes in target size. At the same time, we use the scale size function to weight encode different levels of features, which improves the prediction accuracy of pixels in the intersection area of each class. Experiments conducted on Cityscapes, Put_campus and PASCAL VOC 2012 datasets show that the method in this article is improved by about 1% compared with the three segmentation algorithms such as FCN, PSPNet, and Deeplabv3 +.
Augmentation Performance Analysis of Beidou-3 SBAS under Single Frequency and Dual Frequency
Authors: Xiao Yamu , Xiao Zhibin , Liu Xiaohui 
Published: May 2022

Abstract

Based on the principle of satellite based augmentation information positioning, this paper uses the standard positioning algorithm of SBAS, IGMAS site data and augmentation information messages to evaluate the single point positioning performance of BDS satellite based augmentation information in China. From the results, the accuracy of single frequency augmentation information for single point positioning is improved by about 30%, which is equivalent to that of EGNOS. The accuracy of dual frequency augmentation information for single point positioning is improved by nearly 40%, which is better than that of single frequency.
Web Service Recommendation Based on QoS Analysis
Authors: Xin Mindong , Xing Xing , Han Qiuyang , Jia Zhichun 
Published: May 2022

Abstract
To correctly recommend the web services and help users choose more appropriate web services, a QoS analysis and recommendation method based on radial basis function (RBF) neural network is proposed (this method is referred to as WSR-RBF). This method constructs an optimized RBF neural network to analyze the correlation between qualities of service attributes and uses a set of irrelevant attributes to accurately predict quality of service. To find the number of hidden layer nodes in our proposed model and determine the center value of the hidden layer in a short time, we propose a clustering algorithm combining Affinity Propagation and K-means. The experimental results show that the proposed method has low error values on three data sets, which verifies its good recommendation effect.
Research on Automatic Control Model of Two-wheeled Differential Robot
Authors: Zhang Xinyu , Wu Ziyang , Xie Wenjie , Zhan Jinpeng 
Published: May 2022

Abstract
Aiming at the problem that the speed control of the traditional two-wheeled differential robot is cumbersome and requires a lot of manpower, the intelligent two-wheeled speed matching and intelligent path finding model of the robot under the known surrounding environment are studied. The extended method is used to process the environment image to solve the volume problem of the robot itself, and the improved PRM algorithm is used to solve the shortest path, and the post-alignment of the shortest path is distinguished. Using the radius of curvature, the speed ratio of the two-wheeled differential robot at each position can be obtained, thus establishing the automatic control of the two-wheeled differential robot. The automatic control model of two-wheeled robot is synthesized. The model can effectively reduce the manpower consumed by the robot in path finding and control, and it has important case reference significance for saving the economic cost of two-wheeled differential robot control.
Ultrabright photoluminescence spikes and step-wise photoluminescence increase from colloidal silver nanoparticles for patch nanoantennas
Authors: Lukishova Svetlana G. , Brone Jerome , Khan Darman , Li Zihao 
Published: May 2022

Abstract
Ultrabright intensity spikes (up to ∼400—900 kcounts/s) appear sporadically in time traces of photoluminescence from 100-nm silver nanocubes used in nanopatch antennas for single-photon source applications. Both 532 and 633 nm laser excitation causes them.
Quality Improvement of Aluminum Alloy Thin-walled Laminations Based on Process Capability Analysis
Authors: Wang Xiaoyuan , Wang Renche , Li Zi’ang 
Published: May 2022

Abstract
The flatness of a certain batch of aluminum alloy thin-walled laminations is the key quality control object. The calculation result of the process performance index Pp
U
in the initial manufacturing stage showed that the process capability was insufficient. In order to solve the above problem, through analysing the structural characteristics of the lamination and combing the production process, an end factors’ analysis model of the out-of-tolerance flatness was established; by means of investigation and experimental verification, the main causes of out-of-tolerance flatness were confirmed. Targeted improvement measures such as optimization of mould inspection strategies and replacement of qualified moulds had been taken. After the improvement, using the MINITAB software, the Xbar-R control chart and process capability chart were drawn, and the calculation and analysis of process performance index Pp
U
were completed. The results showed that the improved production process was in a state of statistical control and the process capability was sufficient. The effectiveness of the improved measures was verified.