bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on digital twin technology of large-scale offshore wind power flexible direct transmission system
Authors: Wang Ye , Xu Kai , Du Yunlong , Ren Xuchao , Wang Chenqing 
Published: March 2023

Abstract
With the rapid development of wind power technology, offshore wind power transmission technology has gradually matured. Combined with the first large-scale offshore wind power flexible DC transmission system in China, this paper builds a digital twin system that is close to the actual system. The article first introduces the origin and definition of digital win technology and gives the five-dimensional model of the digital twin. Then, it focuses on the technical realization of the offshore wind power digital twin system, including the five-dimensional model of the offshore wind power digital twin system. The key technologies in the advanced application of the twin system - real-time simulation technology and 3D holographic visual display technology are introduced, and their effects are shown. The realization of the digital twin technology of the large-scale offshore wind power flexible DC transmission system provides more valuable information for the operation, management, scheduling, and decision-making of the offshore wind power flexible direct transmission system.
Design and Simulation of Autom0atic Feeding and Unloading System for Finishing RV Reducer Planetary Carrier
Authors: Zhang Hongxia , Tian Zhicheng , Fei Lilin 
Published: March 2023

Abstract
To realize the unmanned production of precision planetary cycloidal reducer planetary frame finishing, the design of this paper focuses on the robot loading and unloading system for RV reducer planetary frame finishing, and the structural dimensions of the end robot of the system are calculated in detail. The load-bearing parts of the truss affect the strength and stiffness of the whole truss system, and the ANSYS Workbench software is used to perform the static finite element analysis of the truss. The simulation results show that the maximum total deformation of the joist beam is about 0.403mm, which can effectively meet the overall loading and unloading accuracy requirements. The maximum local stress value of the joist is 5.5 MPa, the yield stress of Q235 is 235 MPa, the tensile strength is 375-460 Mpa, which meets the strength requirement, and the automatic loading and unloading system of the joist is determined to meet the design requirements.
Stability analysis of an angle trimmer mechanism applied to a double crystal monochromator
Authors: Jiang Bo , Zhang Zijie , Zhou Shun , Chu Yuanbo , Guo Yifan 
Published: March 2023

Abstract
Double crystal monochromator is the core device of the synchrotron light source beamline, for the application of double crystal monochromator trimmer mechanism not only needs a high angular adjustment resolution, but also needs a high inherent frequency to ensure its stability. In this paper, we have analyzed the inherent frequency of an angle-trimming mechanism applied to a biocrystal monochromator by the energy method, established the relationship equation between its inherent frequency and each parameter of the mechanism, and analyzed the influence of each parameter on its inherent frequency. And we establish the simulation model according to the actual installation situation to carry out finite element analysis. The results prove that the mechanism has excellent stability performance and meets the requirements of light source use.
Design of Brush Plating Repair Device for Big Hole of Connecting Rod of Automobile
Authors: Qiu Peng , Li Wei 
Published: March 2023

Abstract
Brush plating technology has been applied to the surface repair and strengthening of parts and achieved remarkable benefits, so it can be used as a part remanufacturing method. This graduation project aims to design a brush plating repair device for the big end hole of an automobile connecting rod in the field of automobile technology application, including brush plating power supply, electroplating pen, plating solution, and brush plating auxiliary equipment, so as to realize the clamping and rotation of the workpiece, the clamping of plating pen and the axial and radial movement of plating pen relative to the workpiece. The three-dimensional models of parts and parts are established by modeling software and installed. The equipment can greatly improve the maintenance efficiency and product quality of vehicle connecting rods, obtain a safer production process, and is suitable for mass reproduction of vehicle connecting rods.
Design of dynamic gripping control system for robotic arm based on the NJ motion controller
Authors: Pei Haijian , Zhang Yi 
Published: March 2023

Abstract
Due to the increasing improvement of people’s material living conditions, the requirements and needs for mechanical products are rising, thus indirectly promoting the development of mechanical devices. The study aims to provide an in-depth discussion on the power capture of NJ-type robots, the working principle, and arithmetic methods of NJ-type controllers, and to conduct simulation tests of NJ-type robots. The experiments showed that 99.775% of the test data were distributed between 30 ms and 50 ms, and the actual rotational speed was only about 250 ms. The missed and wrong capture rates were 3.58% and 0%, respectively, which indicated that the actual rotational speed was almost the same as the specified one. The results show that the manipulator designed with the NJ-based motion controller achieves a high level of accuracy and stability, and can achieve accurate grasping, which provides convenient conditions for people to perform self-service table tennis entertainment in their daily lives.
Inverse kinematics analysis of rock drilling manipulator based on improved SA-PSO
Authors: Kuang Xianyan , Li Penghui , Liu Zhanfei , Wu Cuiqin 
Published: March 2023

Abstract
In the inverse solution of the rock drilling manipulator, the particle swarm optimization algorithm has been widely used, but due to the complex structure of the manipulator, its disadvantage is that the convergence speed is slow and it is easy to fall into the local optimal solution. Therefore, the adaptive annealing coefficient is introduced into the simulated annealing particle swarm optimization algorithm and improved; the overall search and convergence are improved. Through the simulation experiment of the PSO algorithm, it is proved that this method is better than the conventional PSO method in terms of convergence speed and precision, and can better solve the problem of slow convergence speed and falling into local optimum.
Autonomous landing algorithm of UAV based on Target tracking
Authors: Wan Xiaoyan , Shi Yongkang , Li Peng 
Published: March 2023

Abstract
The target tracking technology in the UAV autonomous landing process is studied. Based on the analysis of the occlusion, background change, and variable scale problems in the target tracking process, a scale adaptive method for UAV target tracking based on KCF (Kernelized Correlation Filter) algorithm is proposed. The original KCF target tracking framework is adopted to achieve the target position prediction function. Secondly, to address the variable scale problem of moving targets and the target loss problem caused by scale changes, the scale filter of the DSST target tracking algorithm is used. The algorithm is for estimating the scale of moving targets and generating a small-scale filter estimate to improve the tracking efficiency of the UAV for moving targets and reduce the target loss rate. The final test on the OTB dataset showed a 4% improvement in variable scale accuracy and a 2.9% improvement in variable scale success rate. A Gazebo 3D environment scene was set up under the Linux system, and UAV autonomous landing simulation experiments were conducted to verify the improved algorithm’s real-time effectiveness in the UAV autonomous landing application. The simulation results show that the improved KCF target tracking algorithm has real-time performance in the UAV autonomous landing trajectory tracking process.
Obstacle Avoidance Design of Aerial Robot Combining A star algorithm Algorithm and Optical Dynamic Capture Method
Authors: Shi Xianwei , Cai Hongzhuan , Ji Yuan 
Published: March 2023

Abstract
The traditional A star obstacle avoidance algorithm is based on binocular cameras for indoor positioning, which requires rich obstacle feature points and has the risk of explosion in a single indoor environment. In this paper, the method of merging the A star algorithm and optical dynamic capture is proposed. By pasting Marker points on key moving parts, the actual position of the aerial robot is calculated with the optical dynamic capture system, and compared with the target position planned by the A star algorithm and corrected in real time during a flight. Through the experimental analysis of the original acceleration of the aerial robot and different position between the target point and the actual point in the flight process, the stability and flight accuracy of the aerial robot in the flight process can be significantly improved, which has good practical application value.
Research progress and prospect of insulation characteristics of HVDC converter transformer bushing
Authors: Zhang Shiling 
Published: March 2023

Abstract
The paper mainly analyzes the development of the high voltage bushing is closely related to the development of power industry. With the gradual rise of the voltage level in power industry, bushing has experienced the development process from low voltage, high voltage, ultra-high voltage to ultra-high voltage. In order to meet operation requirements under the different voltage levels, the pure porcelain bushing, metal shielded bushing and capacitive bushing have also appeared in the bushing body structure, and the core material has gradually changed from the oil impregnated paper and the adhesive paper to adhesive impregnated paper. In the process of the continuous development of bushing structure and main insulation materials, the research on the high-voltage bushing mainly focuses on the material performance test of bushing, the improvement of the main insulation structure design method, and the simulation analysis of bushing voltage and heat sharing.
An Improved SSD Object Detection Algorithm Based on Attention Mechanism and Feature Fusion
Authors: Deng Xiangyu , Li Shanshan 
Published: March 2023

Abstract
The Single Shot MultiBox Detector (SSD) is a well-known object detection method, but its detection of small objects is not effective. This paper makes modifications to the SSD object detection method to address its insufficient semantic information in low-level feature maps, thus enhancing the detectability for small objects. First, the Feature Pyramid Network (FPN) is incorporated into the SSD so that the shallow feature map, which is primarily utilized for detecting small objects, contains more semantic information in addition to rich location information. Second, the Convolutional Block Attention Module (CBAM) is introduced to reinforce the SSD network’s capability to learn key features and thus improve missed detections. The experimental data indicate that this algorithm achieves 78.1% mAP in the PASCAL VOC2007test, a 3.9% improvement compared with the conventional SSD, and also has a great improvement compared with the Fast R-CNN and Faster R-CNN. As well as,this algorithm is better for small object detection and also meets the real-time requirements.
Multi-objective optimization strategy of islanding microgrid based on improved NSGA-II algorithm
Authors: Zhu Xulei , Guo Xingzhong 
Published: March 2023

Abstract
Aiming at the microgrid system with distributed energy sources such as wind, diesel generator, and fuel cell and flexible load in islanding mode, the optimal dispatching model is established to consider the optimal load and reduce the economic cost. This study adopts the improved NSGA-II algorithm, which can improve the optimization efficiency and get the optimal solution better. The simulation analysis of the microgrid in the islanded mode is carried out within a cycle of 24 h. The results of the model show that this strategy can effectively optimize the load curve and reduce the current cost of supply.
Anaerobic acetogenic treatment of palm oil mill effluent for COD removal
Authors: Wajdi M , Muda K 
Published: March 2023

Abstract
Palm oil mill effluent (POME) is a form of wastewater that is dark brownish and contains a high concentration of contaminants such as chemical oxygen demand (COD). Conventional biological treatments, such as ponding, are widely utilized and require large amounts of land to be occupied for extended periods to cure POME efficiently. The goal of this research is to examine the effect of 5, 7, and 9-day hydraulic retention times on the COD removal of POME in a batch mode utilizing anaerobic acetogenic treatment followed by anaerobic polishing. The findings indicate that increasing HRT improves the removal efficiency of POME treatment. COD had a removal efficiency of 53%, 63%, and 62% for 5,7, and 9 days, respectively. Seven and nine HRT days performed better than five HRT days. This study establishes the suitability of the anaerobic acetogenic process for the treatment of POME.
A comparative review on Malaysia’s water quality index model with international water quality index models for surface water quality classification
Authors: Liang Y Q , Yong E L , Annammala K V , Bidin K , Nainar A , Mazilamani L S , Mohamad N A 
Published: March 2023

Abstract
Water Quality Index (WQI) is a grading and classification system. It is used to quantify the overall water quality status of a water resource for a given location and time. This paper aims at comparing the advantages and the limitations across several different types of WQI models (CCMEWQI, NSFWQI, IWQI, WQI Malaysia), in order to provide suggestions to improve the accuracy and sensitivity of the WQI models. IWQI and CCMEWQI are fully unbiased due to no weightage, however, statistical technique is recommended to be included in parameter selection step to increase its accuracy. WQI Malaysia is less sensitive in detection of emerging contaminants, as it is confined to six target specific parameters. To acquire more comprehensive result, upgrades should be made to optimise parameter selection and weightage assignment of different WQI models. Combined value and weightage method for each subindex could be considered in the WQI index calculation.
Suspended sediment concentration prediction using long short-term memory (LSTM) networks at the Vu Gia Thu Bon catchment, Viet Nam
Authors: Luu D V , Doan T N C , Vo N D 
Published: March 2023

Abstract
Understanding changes in sediment dynamics can significantly impact the sustainable development of the world. Modelling suspended sediment plays a crucial role because it allows decision makers and managers to formulate solutions that can avert the blockage of the sediments in a watershed. Estimates of suspended sediment is useful for global ecosystem service assessments and identify vulnerable aspects under climate change. In this study, it is suggested that the suspended sediment concentration at the Vu Gia-Thu Bon catchment in Vietnam be predicted using Long Short-Term Memory (LSTM) networks. Both the monthly suspended sediment concentration at the Thanh My station and the monthly runoff data are inputs. The findings compare the actual data to the predicted concentrations of suspended sediment. The training and testing sets use monthly data from 1978 to 2005 and from 2006 to 2019, respectively. To determine the best LSTM model for the catchment, the research analyzes different scenarios with various hyperparameters. The contrast demonstrates that the LSTM model can forecast suspended sediment concentration time series at the catchment.
Parameters of income level and season to determine the rate of household solid waste generation
Authors: Putri N S R , Muda K 
Published: March 2023

Abstract
Household solid waste is the most significant part of municipal solid waste. This research is a case study that proves the effect of economic and climate conditions on solid waste generation rate. The research location is Palembang, Indonesia (2017), with one year’s dry and rainy seasons. This study has more variation in measuring the level of waste generation than previous studies. This study has proven an influence between income levels and climatic conditions on the rate of municipal solid waste generation. Based on the experience of measuring solid waste in the sample, many important aspects have not been analysed and affect the solid waste generation rate. Therefore, more variables are needed for similar research in the future to obtain results that are closest to the conditions in the field.
Research on mechanism of gully consolidation and check dam efficiency in reducing erosion based on GeoWEPP model in Yangjiagou Watershed
Authors: Wang X , Huo A , Zhao Z 
Published: March 2023

Abstract
Soil erosion is an crucial problem faced by ecological management in the world today. As a part of “Gully Consolidation and Highland Protection (GCHP)” project, check dam plays an important role. In this study, the applicability of GeoWEPP model in typical small watersheds of the Loess Plateau was evaluated, and the erosion and sediment production of check dams under the time scale scenarios of 10, 20, 50 and 100 years were simulated to study the response of hydraulic erosion to check dam. The results show that the relative error δ between the runoff data generated by GeoWEPP simulation and the measured data is less than 15%, the correlation coefficient γ is greater than 0.994, and the Nash efficiency coefficient NSE is greater than 0.98, indicating that the model has good applicability. And the results show that with the increase of time, the effect of the check dam in controlling soil erosion has declined. Under the condition that other parameters remain unchanged, the sediment yield changes little in the first 10 or even 20 years after the construction of the check dam. After 50 years, sediment yield increased significantly, and the role played by the silt dam was significantly weakened. This study is of great significance for reducing soil erosion and promoting the sustainable development of the Loess Plateau.
Risk quotient analysis and total maximum daily load estimation for Kedah River, Malaysia
Authors: Ariff F A M , Wahid M A , Ghafar B H A , Ghosh G C 
Published: March 2023

Abstract
Kedah River plays an important role in providing habitat for aquatic plants, animals, and it has been widely used by humans for recreation purposes. However, rapid development and urbanization activities along the river have significantly impacted the surface water quality in the watershed. Nowadays, Total Maximum Daily Load (TMDL) is one of the best approaches for restoring an impaired watershed. TMDL is used to identify the maximum concentration of pollutants that a waterbody can receive without violating the water quality standards. This study was intended to conduct a TMDL assessment for five water quality parameters which are turbidity, suspended solids (SS), Biological Oxygen Demand (BOD), Chemical Oxygen Demand (COD), and Ammoniacal Nitrogen (NH3N). The calculation includes identifying the existing load, target pollutant load, and the endurance capacity of load using secondary data adopted from DOE. Risk Quotients (RQs) analysis was included in this TMDL study to address the water health systematically. From the result, most of the existing pollutant from year 2013 to 2017 exceeded the standard value of Class IIA by NWQS especially for SS, BOD, and NH3N.
IoT based real-time monitoring system of rainfall and water level for flood prediction using LSTM Network
Authors: Faudzi A A M , Raslan M M , Alias N E 
Published: March 2023

Abstract
Floods in recent years have frequently resulted in environmental, economic, as well as loss of human life. People are less aware of incoming floods if there is no early warning system. This proposal outlines the design of a monitoring system to obtain real-time data on rain gauge and water level. The monitoring system is based on IoT via a GSM network to provide real-time data cloud and dashboard display on Grafana platform. The rainfall forecasting model used Long Short-Term Memory (LSTM) networks to predict future rainfall and water level values which could cause floods. The result was experimented with using historical data since the current data of the monitoring system is insufficient yet to make an accurate prediction. The main findings of the research are the predicted values of streamflow and rainfall for historical data, also water level and rain gauge for new data. The primary result was experimented with using historical data on two rainfall stations and one streamflow. Also, the primary result was experimented with using new data on two water level stations and one rainfall. The forecasting method that applied LSTM showed high accuracy of the result reaching more than 90%. Based on these results, the system can be used as a non-structural solution to alleviate the damage caused by urban floods.
Growth pattern of Chlorella vulgaris and Arthrospira platensis using CO2 in biogas from anaerobic digestion of tofu wastewater: A preliminary study
Authors: Hamidah U , Cahyani P , Tjandra B , Ajijah N , Widyarani  , Sintawardani N 
Published: March 2023

Abstract
Liquid waste from tofu production can be treated by anaerobic digestion to produce biogas. The main components of biogas are CH4 (methane) and CO2 (carbon dioxide), but usually, biogas also contains water, H2S (hydrogen sulfide) or other sulfuric compounds, and other trace gases and impurities. Therefore, purification and upgrading the biogas are necessary to improve its quality as a fuel. One of the alternative methods of biogas purification is by reducing CO2 content using microalgae culture, which involves the ability of microalgae to use the CO2 in biogas for photosynthesis. In this research, Chlorella vulgaris and Arthrospira platensis were tested for their ability to grow under biogas produced from anaerobic digestion of tofu wastewater aeration in a batch system. The results indicated that Chlorella vulgaris could grow better than Arthrospira platensis on the same flow rate of input biogas. Despite the ability of Chlorella vulgaris to use CO2 in biogas, the cell numbers in culture aerated with biogas were lower than with air, which indicated an inhibition by biogas on Chlorella vulgaris growth.
Building rating tools integration in building information modeling (BIM)
Authors: Lai K E , Rahiman N A , Ali K N , Kamaruddin T , Shukery N M , Razak I A 
Published: March 2023

Abstract
Building Information Modelling (BIM) has a high potential to assist in designing a green building. Integrating BIM and building rating tools can help designers design buildings that fit the minimum requirements of green certification. Without BIM, green certifications are performed manually and after project completion. Incorporating BIM and building rating tools in the early decision-making process of a project is more significant to enhance building sustainability. The study aims to review the extent of integration of building rating tools with BIM for green certification in the current research. Upon screening the relevant publications, it is discovered that only a small number of studies have been conducted that link BIM and green assessment tools. Only a total of 19 studies are eligible for the review process. The content analysis results of these studies point out that LEED is the most used building rating tool for integration with BIM. The integration is mostly made by using Autodesk Revit and Dynamo. The major focus for the integration is on the energy and atmosphere sub-category as the credit allocation is the highest. More studies integrating the BIM-building rating tool are needed to automate the green certification process.