bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the Four-stage Drill Pipe Automatic Conveying System
Authors: Chen Hang , Xin Dezhong 
Published: November 2021

Abstract
The four-stage drill pipe automatic conveying system is developed to solve the problem that the capacity of the existed drill pipe conveying system is very limited, which needs workers to add drill pipes frequently during drilling and can’t fit the development of the automatic rig. The four-stage drill pipe conveying path plan of the multidirectional automatic rig is designed based on the general conveying path and the starting point normalization, and operating mechanisms are designed, including the pipe box, the transferring device, the main and the deputy mechanical arm. This plan is helpful to reduce the height of the rig by using the room below the side of the pipe box. According to the mechanism, the conveying path is adjusted adaptively to avoid interference between the conveying system and the rig. It is verified by the theoretical calculation and the model machine test that pipes can be delivered automatically and accurately by the four-stage automatic conveying system.
An Assembly Status Identification Method for Wedge Belt Automatic Assembly Based on Dynamic Feature
Authors: Zhao Qijian , Wang Yizhe , Sun Pengfei , Zhang Lianxin 
Published: November 2021

Abstract
The assembly of the wedge belt joint relies on the sense and experience of human, which limit the application of automatic assembly technology. In order to implement automatic assembly for higher production quality and efficiency, an assembly status identification method based on dynamic feature is proposed. The contact status of the wedge belt in assembly is analysed and the dynamic model is formulated. The dynamic features for identification are compared and the signal of acceleration is selected. The identification method of assembly status is proposed based on the acceleration signal. An experiment is designed to verify the identification method. The experiment result shows that the amplifier of the acceleration decreases much more sharply as it fits well. The proposed identification method is effective and stable, which could be used for the automatic assembly.
Dynamic Simulation Analysis and Experiment of Large-caliber Self-propelled Pipeline Crawler Based on ADAMS
Authors: Tang Yinlong , Song Huadong , Yu Yating , Zhang Jun , Hu Wenguang , Guo Xiaoting 
Published: November 2021

Abstract
The force states of driving wheels are different when the self-propelled pipeline crawler moves in the pipeline, so it is difficult to carry out accurate theoretical analysis and calculation on the force and output torque values of each driving wheel in horizontal, climbing and turning conditions of the crawler. Due to the complex mechanical properties of pipeline sealing and the limitation of visualization, it takes a long period and high cost to develop the robot in pipeline by experimental means. With the gradual application of virtual simulation means, the complicated dynamic analysis and solution process in the past has become relatively easy. In this paper, Solid works is used to establish a simplified model of the crawler, and ADAMS is used to analyze and simulate the dynamics of the crawler. The force of the multi-wheel driven pipeline crawler is given under the condition of horizontal, climbing 35° and turning, which provides the necessary analysis method and theoretical basis for the design optimization and improvement. Finally, the horizontal, climbing and bending motion performance of the crawler is verified by comprehensive pipeline experiment.
An Improved Automatic Shape Feature Extraction Method Based on Template Matching
Authors: Wang Xiaoqi , Zhang Jian 
Published: November 2021

Abstract
Image shape extraction is an important step in the image analysis, AI electronic industry and automation, as well as a significant part of content-based image retrieval(CBIR), which cannot be separated from contour extraction. However, traditional approach of the border following algorithm is susceptible to noise interference, thus the shape extracted is always complex in real images and cannot express feature of the target image well. Therefore, an improved shape feature extraction method is proposed, which converts color space into HSV model when preprocessing, filters contour by area size, merges adjacent contours by drawing convex hull and filters with template shapes. Lastly, this method is tested on UAV123 and YCB_Video dataset, which showed that the proportion of valid contour improved from less than 10% to 87.7% based on border following algorithm. In the experiment of OPenCV open source library in Visual Studio environment, we hope to improve the extraction efficiency of shape features.
Research on Region Division of Large Workpiece Based on Dexterous Workspace of Robot
Authors: Zhang Yonggui , Zhang Gan , Xu Xin , Zhao Qianqiu 
Published: November 2021

Abstract
In order to complete the processing of large-scale workpieces, a region division of large-scale workpieces based on robot dexterous workspace is studied. The linkage coordinate system of the robot is established by D-H method, and the forward kinematics equation of the robot is obtained; Monte Carlo method is used to analyze the workspace of the robot, and MATLAB is used to program to draw the workspace and task space of the robot; Taking an example part as the object, the feature of the part is studied, and the process of determining the task space area of the workpiece in the dexterous workspace of the robot is given, and the region of the workpiece is divided based on the size of the task space and the geometric features of the workpiece.
Research on the Correction of the Linkage Hydraulic System of the Composite Hydraulic Gripper Used in Coal Mine Rigs
Authors: Wang Qingfeng , Chen Hang 
Published: November 2021

Abstract
The research against the defect that the gripper of the rig using a traditional linkage hydraulic system always clips back to damage drill pipes when the rig starts to rotate is presented. The correcting solution of a kinetic pressure feedback system including a damper and an accumulator is described by establishing the transfer function of the linkage system and analysing major factors making the gripper to clip back. Taking the ZYWL-4000SY automatic rig for instance, the linkage hydraulic system after correction is compared with that of before in simulating analysis and the correcting solution is verified by both lab and field tests. The results show that the corrected gripper works well without hurting pipes and the rig operates in good and stable condition. The theoretical foundation and method are provided to design and test the linkage function of the composite hydraulic gripper of other similar rigs.
Design of Intelligent Fermentation Mixer Based on PLC
Authors: Zhang Lin , Wu Di , Shi Hao 
Published: November 2021

Abstract
Aiming at different types of organic fermentation environments, an intelligent fermentation mixer that can be controlled and monitored at multiple points is designed. The system is mainly composed of PLC, inverter, servo motor, touch screen, temperature and humidity detection module, STM32 acquisition module, HMI, cloud server and other units. After completing the electrical design, software design and mechanical structure design of the system, the whole system was debugged. The results showed that the system was operating normally and its functions basically met the original design requirements. The system adjusted the feedback network and algorithm to improve the organic fermentation environment. The control has better stability.
Multi-input Convolutional Neural Network Fault Diagnosis Algorithm Based on the Hydraulic Pump
Authors: Zhang Lishan , Han Lei , Meng Yuzhen , Zhao Wenkui 
Published: November 2021

Abstract
Convolutional neural network used in fault diagnosis can effectively extract fault features in vibration signals. However, in the feature extraction of mechanical fault diagnosis, usually more than two feature signals including at least axial and radial vibration signals can be extracted. This paper proposes two multi-input convolutional neural network models based on the fault data of the aircraft hydraulic pump including axial and radial vibration. The first is the Independent Input Multi-input Convolutional Neural Network model. The two inputs are respectively used for convolution pooling operation with CNN, and are combined through the concatenate function before the fully connected layer, and then all frames are integrated and flattened by the flatten function. A one-dimensional array, finally enters the fully connected layer and outputs the result through the softmax function. The second is the Combined Input Multiinput Convolutional Neural Network, that is, combine two one-dimensional signals into a twodimensional signal in the input layer of the convolutional neural network and then perform convolution pooling, and finally output the result through the softmax function. The results show that the two models have good accuracy and stability, and the second one has a higher convergence and fitting efficiency than the first one.
Discussion and Analysis on Operation Reliability of DC Oil Pump in Thermal Power Unit
Authors: Si Ruicai , Hu Wenfei , Wang Songhan , Wang Zhongyan , Liu Xiwen , Jia Li 
Published: November 2021

Abstract
In recent years, some power plants in China can’t start the DC oil pump normally in emergency due to the faults of DC oil pump power supply system and imperfect control circuit. It caused the turbine to cut off the oil and burn the Bush, which caused a serious accident. In view of the importance of DC oil pump, this paper analyzes the interlock logic, start stop permission, direct circuit and power system configuration of DC oil pump, put forward the treatment measures. It is of great significance to prevent the oil cut-off and Bush burning accident of steam turbine.
Simulation on Influence of Wall Thickness and Probe Channel Numbers on the Examination Rate of Oxides Blocking Ratio in non-Ferromagnetic Tubes
Authors: Cui Lun , Du Haoyang , Zhu Daming 
Published: November 2021

Abstract
Oxides accumulated in the inner bend of austenite heating tubes of super critical units may cause overheat and bursting. Traditional methods could not examine oxides blocking ratio. A magnetic field simulation of the boiler tube’s oxide skin blockage model has been set up in this paper. The influence of different wall thickness and different accumulation of oxide on the distribution of magnetic field was analyzed. It was demonstrated that the blockage oxide scale could be quantitatively measured by the amplitude and distribution of magnetic field.
An Application Process of Additive Manufacturing Based on Digital Simulation and BESO Topology Optimization
Authors: Liu Wangjia , Liu Bingshan , Wang Gong 
Published: November 2021

Abstract
Additive manufacturing has now entered a wide range of areas and plays an important role. There are many factors affecting the application of additive manufacturing, such as the amount of printing supplies, print product strength, print speed and so on. These factors potentially hinder the application of additive manufacturing in some typical areas, such as spare parts producing for on-orbit maintenance in space environments. Based on the improvement of the above factors, an additive manufacturing application process based on topology optimization of variable density method and digital simulation was proposed. Print volume of product was used as an explicit constraint, and the design goal of the product, such as strength and modal, was transformed into implicit stress constraints in the topology optimization of three-dimensional model, then stress constraints were independently extracted for secondary verification, finally the checked model is put into print. This process saves computational resources during optimization calculations and printing time, reduces print product’s weight, conserves supplies, and meets initial strength or modal design goals. This process greatly exploited the advantages of additive manufacturing in product manufacturing and made up for the shortcomings of traditional manufacturing processes that can not directly output a relatively abstract model after topological optimization. Under the constraints of saving material and increasing strength, it becomes optimum solution in the manufacture of specific products.
Classification and Application of Tight Gas Wells Based on Cluster Analysis
Authors: Cai Zhenhua , Zuo Chuanshuai , Zhu Jianying , Qin Peng , Duan Baojiang , Song Wenrong , Wang Jiaqi 
Published: November 2021

Abstract
The tight gas field is greatly affected by pressure in the development process. Due to the different production time and formation pressure of each well in the gas field, the production characteristics of the gas well are obviously different. After the gas well sees water, it is impossible to formulate production measures efficiently and accurately. Therefore, by analyzing the production performance characteristics of gas wells, this paper carries out the classification research of tight gas wells, and formulates the corresponding production measures according to the classification results. Taking gas well energy and liquid production intensity as the reference standard of gas well classification, the dynamic parameter indexes characterizing gas well energy and liquid production intensity are established. Gas wells with different production characteristics are divided into six categories by clustering algorithm: high energy-low liquid, high energy-high liquid, medium energy-low liquid, medium energy high-liquid, low energy-low liquid, low energy-high liquid. Then the classification method of tight gas well is formed. In this paper, 50 wells in Linxing block are selected as the research object. The research results show that most of the wells in Linxing block are located in area V, belonging to low energy and low liquid wells. It is recommended to implement intermittent production. The classification based on gas well energy and liquid production intensity are of guiding significance for the formulation of production measures in the Linxing block.
Perception and innovativeness level of farmers on the integration system of rice and cattle farming
Authors: Mulyono J , Suryana A T , Suryana E A 
Published: November 2021

Abstract
Farmers’ perceptions of the disseminated technology influence the speed and rate of its adoption. The integration system of rice and cattle farming, named SITT, was developed to increase rice and beef production based on a zero-waste concept. Information on farmers’ perceptions of the SITT technology’s characteristics is needed to improve the technology. This study analyzed farmers’ perceptions of the SITT technology’s characteristics, social characteristics, economic capabilities, and innovativeness level. This research was carried out in October 2018 in Serdang Bedagai District, North Sumatra. Data were collected through interviews using a structured questionnaire to 40 farmers who applied the SITT technology and selected purposively. Data were analyzed using qualitative and quantitative descriptive methods. The result proved that, in general, the farmers’ perceptions of the SITT technology have a greater relative advantage, compatibility, trialability, observability, and less complexity. Most of the farmers are not involved in the farmer group’s management (94.9%). Farmers stated that the financing source for farming activities was their capital (55.0%). The level of farmers’ innovativeness concluded that 43.6% of farmers were in the late majority group. The acceleration of SITT technology needs to be carried out continuously with methods following the specifics of the location and the farmers’ level of innovation. This dissemination activity will provide assurance and trust to farmers in SITT technology to be applied in their farming activities to increase production, productivity, and profits.
Impacts of the COVID-19 pandemic on food and nutrition security in Indonesia
Authors: Suryana A , Hartono M D , Suryana M R 
Published: November 2021

Abstract
The COVID-19 pandemic has negative impacts on the achievement of sustainable development goals (SDGs) goal number 2: Zero Hunger. The poor and temporary unemployed, due to pandemic, experienced the hardest hit. Objective of this study is to analyze the impacts of the pandemic on the achievement of the SDGs goal 2, especially the targets 2.1 and 2.2 (universal access to safe and nutritious food and end all forms of malnutrition). The scope of this study was at the country level, and data used were from Badan Pusat Statistik (BPS/Statistics Indonesia) and related ministries for the 2015‒2020 period. Data were analyzed using a qualitative and quantitative descriptive approach. This study indicated that the pandemic disrupted the improvement of food and nutrition security in Indonesia that has been achieved until 2019. Compared to the previous year, in 2020, the prevalence of undernourishment (8.34%) and food quality consumed measured by the desirable dietary pattern (86.3) worsened, and the prevalence of food insecurity experience scale (5.12%) decreased but at a slower rate. The low-income households and families headed by a women or disabilities were among the most vulnerable groups in maintaining food security. The government social assistance programs distributed timely have resulted in positive impacts in easing the burden. Since the pandemic has not ended yet, the social safety net programs should be extended and the government’s effort to maintain food supply and price stabilization should be continued.
Scheme to support coconut replanting program on smallholder plantation
Authors: Wulandari S , Alouw J C 
Published: November 2021

Abstract
Coconut plantations are dominated by smallholders characterized by limited land area, low productivity, and low added value. The low productivity is partly due to the old age of the plants. The performance of coconut plantations can be improved, among others, through replanting smallholder plantations, but the implementation is still low, mainly due to financing constraints. This study aims to develop a financing scheme to support coconut replanting programs in smallholder plantations. The analysis used is Interpretative Structural Modelling for strategy mapping. The strategy for accelerating the smallholder coconut replanting program is related to developing the seed system, capacity building of farmers and farmer organizations, and technology support. The implementation of coconut replanting consists of nursery establishment, seed distribution, and planting and cultivation management. The financing scheme is a replanting financing method that includes the provision of funds, the scope of the use of funds, and the mechanism for using funds. Various financing models were built, consisting of the Self-Financing Scheme, the Companion Fund Financing Scheme, and the Program-Based Financing Scheme. These various schemes accommodate variations in conditions in coconut development centers in Indonesia. Through the financing scheme, it is also possible to map the roles of each stakeholder involved.
The existing and expectations of BPP capacity in the strategic command for agricultural development program
Authors: Adawiyah C R , Anugrah I S , Wahyuni S , Syukur M , Suhartini S H , Indraningsih K S , Tarigan H , Pranadji T , Mulyono J , Hermawan H 
Published: November 2021

Abstract
The focus program of the Ministry of Agriculture in 2019-2020 is the strategic command for agricultural development (KOSTRATANI), stated in the Minister of Agriculture No./Kpts/OT.050/I/02/2020. The expectations and targets to be achieved from BPP as KOSTRATANI are (1) data and information; (2) the agricultural development; (3) learning; (4) agribusiness consulting; and (5) partnership networks. To meet the expectation, research to know the capacity of BPP should be done. This paper presents information on the capacity of BPP (human resources, infrastructure and management). The research was conducted in Central Java Province, focused on BPP in Grobogan District, especially BPP in Pulokulon and Tegowanu Subdistrict. The research was done through a survey during March 2021, the data and information were collected based on group discussion and individual interview with total respondents of 31, then analyzed descriptively. Found that the human resources capacity at province level were only supported by 16% of extension officer. At subdistrict level, an extension officer responsible for 3-4 villages while at Tegowanu 4-5 villages.The infrastructure of Pulokulon was worse than Tegalwanu and Both BPP have some program out side the main responsibility as BPP. Concluded that KOSTRATANI should not be implemented in all BPPs simultaneously. The Ministry of Agriculture would decide which certain BPP is considered the appropriate mode for implementing KOSTRATANI. Therefore, suggested that further research on the capacity of more BPP with more samples with special characteristics such as agroecosystem and main commodity should be conducted.
The agricultural land distribution and used on various agroecosystems in Indonesia
Authors: Suryadi M , Sumaryanto  , Sumedi  , Sukarman  , Rusastra I W 
Published: November 2021

Abstract
The land resource is one of the mains production factors for farmer’s households and the agricultural economy. From the land use and transformation perspective, analyse the aspects related to the dynamics of land ownership and distribution, technical, socio-economy, institutional, and policy factors, and land accessibility are needed. The objectives of this study are (1) analyze diversity of agricultural land holding at the micro, region, and macro levels; (b) describe the main factors that influence the transformation of land use; and (c) formulate strategies and policies on land resources management. The approach used in this paper is to review the results of previous PATANAS research and deepening it with information from secondary data and literatures. The study shows that the transformation constraints are the high population growth and limitation of non-agricultural employment opportunities, the fragmentation and the loss of land transactions, and land conversion. This condition implies that the government needs strategies and policies to save and utilize the potential agricultural land reserves. This effort intends to create new agricultural lands and support infrastructure to increase production and income. It will enable to accelerate transformation in the agricultural sector.
Electrochemical properties of La9.33Si6O26(LSO)–La0.8Sr0.2Ga0.8Mg0.2O2.55(LSGM) electrolyte over NiO and La0.1Ca0.9MnO3(LCM) electrodes
Authors: Noviyanti Atiek Rostika , Malik Yoga Trianzar , Rahayu Iman , Eddy Diana Rakhmawaty , Pratomo Uji 
Published: November 2021

Abstract
The electrochemical properties of La9.33Si6O26(LSO)–La0.8Sr0.2Ga0.8Mg0.2O2.55(LSGM) electrolyte composites have been evaluated over NiO and La0.1Ca0.9MnO3 (LCM) electrodes using symmetric and asymmetrical cells of NiO/LSO–LSGM/NiO and NiO/LSO–LSGM/LCM, respectively. The Nyquist plot obtained from this study suggested that the new electrolyte system exhibits excellent performance over the NiO and LCM electrodes and shows an ideal Randel cell electrical circuit characteristic in both NiO/LSO–LSGM/NiO and NiO/LSO–LSGM/LCM cells. The area-specific resistance (ASR) and, the activation energy (Ea) of NiO/LSO–LSGM/NiO from the Arrhenius plot are lower than the NiO/LSO–LSGM/LCM, which is 0.30 Ω cm−2 and of 0.74 eV vs 0.40 Ω cm−2 with Ea of 0.76 eV, respectively.