bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fast Clustering of Communication Signals
Authors: Ji Gang , Zhu Yuxuan 
Published: April 2021

Abstract
In the modern and digital battlefield, grasping the electromagnetic power of battlefield system is the key to deciding the outcome of the war, and accurate and comprehensive electromagnetic situational awareness is of great importance. Communication protocol analysis is a prerequisite for smart jamming in non-cooperative electronic countermeasures. The design of efficient jamming strategy for synchronous or networked signals can make up for the shortcoming of insufficient jamming power, solve the problems of remote and covert jamming, greatly reduce the cost of jamming equipment and improve the survivability of battlefield. Therefore, the rapid analysis of communication signal protocol has important military application value. Traditional protocol analysis requires parameter estimation layer by layer on the communication protocol, and bitstream analysis of the protocol word can only be carried out on the premise of solving modulation pattern identification and demodulation, interweave and scrambling parameter estimation and demodulation, channel decoding parameter estimation and decoding. This analysis method has the following disadvantages: long analysis cycle, strong expert dependence and high algorithm complexity. It is difficult to meet the demand of real-time analysis of unknown and flexible electromagnetic signals. In order to solve this problem, this paper proposes an idea of fast clustering of signal protocols in the physical layer by artificial intelligence method.
Online porosity defect detection based on convolutional neural network for Al alloy laser welding
Authors: Ma Deyuan , Shu LeShi , Zhou Qi , Cao Shenjie , Jiang Ping 
Published: April 2021

Abstract
Porosity is one of the most serious defects in Al alloy laser welding. The online detection of the porosity can identify the weak position of weld seam and take remedial measures accordingly. In this paper, a convolutional neural network (CNN) model where the input is the signal spectrum graphs extracted by wavelet packet decomposition (WPD) is constructed to identify the porosity during Al alloy laser welding in real-time. The porosity monitoring platform is set up to obtain the keyhole opening area signal and the keyhole depth signal in the welding process. The sliding window scanning algorithm is used to scan the signals and the weld seam, and the time-frequency spectrum graphs are obtained by WPD processing on the signals in each sliding window. Through analysis, when there is porosity in a small weld seam section of the current sliding window, the signal spectrum graphs are messy at this moment, while when there is no porosity, the signal spectrum graphs are clean and the frequency bands are concentrated in low-frequency part. The CNN model is constructed to classify the signal spectrum graphs under different porosity status, thereby it can identify the porosity in the weld seam.
Component design of word report generation based on LabWindows/CVI
Authors: Xiucai Zhao , Tao Yan , Wenan He , Guofeng Zhang 
Published: April 2021

Abstract
In order to realize the automation and diversification of word report generation business in the field of test and measurement, this paper first proposes a report generation collaborative processing mechanism based on a series of functional components through the demand analysis of report generation business and the design of software function allocation. Then, based on the development resources provided by LabWindows/CVI, this paper discusses the realization ways of the bookmark management and the automatic report generation based on word template. Finally, the practical effect of the word report generation business is given.
Design and implementation of an efficient program interpreter for industrial robot
Authors: Xie Mingyou , Li Di , Cheng Minghao , Li Shipeng , Luo Yongchao 
Published: April 2021

Abstract
Robot program interpreter is an important tool for robot to realize real-time control and fast feedback. In order to simplify the process of robot programming and improve the interpretation efficiency of robot program, an easy-to-use and efficient industrial robot program interpreter is designed and implemented in this paper. The interpreter divides the robot program into two parts: variable definition and instruction call. The process of interpretation includes lexical analysis, syntactic analysis, semantic analysis and instruction interpretation modules. Using flex and bison tools to assist in the generation of lexical and syntactic analysis programs, this paper proposes child-sibling notation (CSN) to construct a syntax tree. In semantic analysis, the red-black tree structure of the map container is used to create a symbol table and record variable information. By the way of presetting type checking codes, errors in the program can be reported and handled. Finally, the interpreter traverses the syntax tree with depth-first algorithm, and calls the corresponding control function while interpreting the instruction sentence to execute the motion of robot. The experimental results show that the designed interpreter has high efficiency and stability in interpreting the robot program and meets the operational requirements of industrial robots.
Kinematic and dynamic analysis of a planar tensegrity-based mechanism
Authors: Lei Hui , Lin Min , Ji Zhifei 
Published: April 2021

Abstract
Tensegrity-based mechanisms are proposed to be used in the field of robotics due to their advantages such as deployable, easily tunable, redundant, and easily modelled. In this work, the kinematic and dynamic analysis of a planar tensegrity-based mechanism was researched. At first, the forward and inverse kinematic analysis of the mechanism was studied by using the energy method. Then, stiffness of the mechanism was investigated. Afterwards, the dynamic model was developed and the numerical simulation was conducted. The results indicate that the stiffness of the mechanism is always a maximum when the mechanism is in equilibrium and it decreases with an increase in the external load. The dynamic model lays the foundation for the control of the mechanism.
Design of device adapter enabling plug & produce for intelligent manufacturing production line
Authors: Yao Xia’nan , Li Di , Tang Hao , Wang Xixiang , Luo Yongchao 
Published: April 2021

Abstract
Aiming at the problem that traditional manufacturing production lines are difficult to meet the increasingly customized product requirements due to their poor flexibility and adaptability, a design framework and implementation method for the intelligent device adapters that followed the model-driven concept were proposed. Firstly, the importance of model-driven approach based on the requirements of production line for customization was explained; then a variety of mainstream hardware interfaces and software communication protocols of devices in the modern manufacturing field were analysed. By this means, the software and hardware systems of the device adapters were designed in a modular manner, so that the ability to automatically perceive the surrounding environment and communicate externally with the standard service interfaces of OPC UA was achieved. Finally, the results of the functional verification carried out on the production line prototype platform show that the intelligent device adapters can automatically register the metadata of devices based on the self-description model to the service catalog, and the communication protocols and data description formats of devices can also be uniformly adapted to OPC UA, so as to realize the capability of plug & produce without manual intervention.
Electrical line-shafting control for permanent magnet synchronous motors using active disturbance rejection control
Authors: Zhan W , Su J Y , Yang G J 
Published: April 2021

Abstract
This study presents an electronic line-shafting (ELS) control strategy based on Active Disturbance Rejection Controler (ADRC) for permanent magnet synchronous motor systems. In order to improve the speed synchronization accuracy of the system when startup and a disturbance occurs, the TD of ADRC is used to arrange the same transition process for each drive unit. In addition, the ESO (Extended State Observer) in ADRC is used to observe the load disturbance of each drive unit and give feedback to the virtual line-shafting, thus the system obtained high speed synchronisation. Effectiveness of the proposed ELS control scheme is verified by experiment results.
Development of methods for modeling of oil and gas producing enterprises electrotechnical complexes
Authors: Romodin A V , Leyzgold D Yu , Mishurinskikh S V , Pavlov N V , Semenov A S 
Published: April 2021

Abstract
The article presents the mathematical description of minerals industry enterprises electrotechnical complexes. The presented development and modification of algorithms and methods for calculating the parameters of electrical complexes structural elements are taking into account the specifics of the technological process. The developed methods of studying the operating modes of electrical complexes of oil and gas production enterprises are planned to be used to identify various promising dynamic modes, which, in turn, will allow determining the optimal operating conditions of electrical complexes regardless of their structure, including in conditions of uncertainty and incomplete information.
Ecological-economic modeling for sustainable and safe development of high-tech industrial enterprises
Authors: Melnikova A , Garifzyanov R 
Published: April 2021

Abstract
This paper presents the concept of considering the ecological and economic component of the industrial system from two sides. The first side represents ecological and legal modeling which includes the study of exogenous and endogenous negative determinants affecting this area. The second side describes ecological and mathematical modeling which is based on the modernization and adaptation of the calculated tools for high-tech industrial enterprises to reflect the costs of environmental safety, sustainable development of production and conservation of natural resources.
Predicting the heat capacities of ammonium- and phosphonium-based deep eutectic solvents using artificial neural network
Authors: Bunquin Ray Matthew A. , Caparanga Alvin R. 
Published: April 2021

Abstract
Deep eutectic solvents (DESs) are more environment-friendly and sustainable solvents than ionic liquids (ILs). Determining their physical properties is vital prior to their application. However, it is not practical to experimentally determine the physical properties of all DESs. Therefore, developing models to estimate their physical properties is necessary. In this study, a generalized model using artificial neural network (ANN) was developed to predict the heat capacities of ammonium- and phosphonium-based DESs over the temperature range of 278.15 – 353.15 K at atmospheric pressure. The best ANN model developed from the training and optimization process has an architecture with two hidden layers of 7 and 6 neurons, respectively. The overall average absolute relative deviation of the proposed model from the data was 0.57%. Qualitative analyses suggest a promising predicting capability of the proposed model. The calculated values of the statistical descriptors are close to their ideal values. Therefore, the proposed model can be used to reliably predict the heat capacities of other ammonium- and phosphonium-based two-component DESs.
Orbital: An Electric and Magnetic Field
Authors: Amin Mir M. 
Published: April 2021

Abstract
Quantum mechanics is a non-intuitive subject which is very difficult to understand. Various investigations have been done on understanding the basic quantum mechanics. Nevertheless, many attempts have been made for understanding the appropriate techniques, which are known to help conceptual under-standing of basics of orbital. As per the study the orbital is considered as an electric and magnetic field. The electric and magnetic field gets generated due to the continuous motion of electrons. So the orbital is nothing more than an electric and magnetic field. It is because of the electric and magnetic field of the orbital that it possesses electric and magnetic momentum. So taking all these points into consideration, it could be concluded that an orbital is no more than an electric and magnetic field.
Preparation and Properties of a Novel Sodium Alginate Microcapsule
Authors: Liu Zhenyan , Chen Xue , Guo Hao 
Published: April 2021

Abstract
In this study, sodium alginate was used as the main embedding material, and sodium polyacrylate had been immobilized on sodium alginate with calcium ions as crosslinking agent for preparing a new type of lactic acid bacteria entrapment material. The aim of this study was to investigate the viability of Lactococcus lactis NCU1315 under simulated gastrointestinal conditions and the physical properties of the microcapsules and their protective effects on Lactobacillusto develop a feasible and stable method for preparing microbial particles. The hardness of Alg-1 and Alg-2 microcapsules varied with time in simulated gastric juice and showed significant difference at the second and third hour (P < 0.05, P < 0.01). The particle size of Alg-1 and Alg-2 microcapsules varied with time in simulated gastric juice and showed significant difference at the second and third hour (P < 0.05, P < 0.01). Alg-1 had no significant effect on the growth of NCU1315, but Alg-2 had inhibitory effect on the growth of Lactococcus lactis NCU1315. The survival rate of Lactococcus lactis in Alg-1 and Alg-2 microencapsulated groups was significantly higher than that in Free cell group at 24h, 48h and 72h (P < 0.05, P < 0.01). However, the survival rate of Lactococcus lactis in Alg-1 and Alg-2 microencapsulated groups decreased with time (P<0.05, P<0.01).
Characterization of the photomultiplier tubes for the scintillation detectors of GRANDProto35 experiment
Authors: Wang X. , Qian X.-L. , Yu Y.-H. , Feng C.-F. , Martineau-Huynh O. , Zhang Y. , Gou Q.-B. , Liu W. , Feng Y.-L. 
Published: April 2021

Abstract
GRANDProto35 is the first stage of the GRAND project. It will be composed of an array of 35 radio antennas and 24 scintillation detectors in which the radio and scintillating subarrays will be triggered independently. The scintillation detector array allows to cross-check the radio array, thus quantitatively determine its detection efficiency. The photomultiplier of Hamamatsu R7725 is a candidate for the scintillation detector. The characteristics of the PMT will directly affect the resolution of the time and energy measurements and the dynamic detection range of a scintillation detector. A voltage divider circuit featured with dual-readout was designed for the PMT to cover a larger linear dynamic range (LDR). Some characteristics of the PMT were calibrated and investigated: the absolute gain, single photoelectron (SPE) energy resolution, transit time spread (TTS), linear dynamic range, and temperature dependence of the PMT gain. In this paper, details about the system setup, measurement methods, and results will be described.
Xenogeneic dentin matrix as a scaffold for biomineralization and induced odontogenesis
Authors: Li Hui , Ma Bo , Yang Hefeng , Qiao Jia , Tian Weidong , Yu Riyue 
Published: April 2021

Abstract
Commonly recognized mechanisms of the xenogeneic-extracellular matrix-based regenerative medicine include timely degradation, release of bioactive molecules, induced differentiation of stem cells, and well-controlled inflammation. This process is most feasible for stromal tissue reconstruction, yet unsuitable for non-degradable scaffold and prefabricated-shaped tissue regeneration, like odontogenesis. Treated dentin matrix (TDM) has been identified as a bioactive scaffold for dentin regeneration. This study explored xenogeneic porcine TDM (pTDM) for induced odontogenesis. The biological characteristics of pTDM were compared with human TDM (hTDM). To investigate its bioinductive capacities on allogeneic dental follicle cells (DFCs) in the inflammation microenvironment, pTDM populated with human DFCs were co-cultured with human peripheral blood mononuclear cells (hPBMCs), and pTDM populated with rat DFCs were transplanted into rat subcutaneous model. The results showed pTDM possessed similar mineral phases and bioactive molecules with hTDM. hDFCs, under the induction of pTDM and hTDM, expressed similar col-I, osteopontin and alkaline phosphatase (ALP) (all expressed by odontoblasts). Whereas, the expression of col-I, dentin matrix protein-1 (DMP-1) and bone sialoprotein (BSP) were down-regulated when cocultured with hPBMCs. The xenogeneic implants inevitably initiated Th1 inflammation (up-regulated CD8, TNF-α, IL-1β, etc) in vivo. However, the biomineralization of pre-dentin and cementum were still processed, and collagen fibrils, odontoblast-like cells, fibroblasts contributed to odontogenesis. Although partially absorbed at 3 weeks, the implants were positively expressed odontogenesis-related-proteins like col-I and DMP-1. Taken together, xenogeneic TDM conserved ultrastructure and molecules for introducing allogeneic DFCs to odontogenic differentiation, and promoting odontogenesis and biomineralization in vivo. Yet effective immunomodulation methods warrant further explorations.
Efficacy evaluation of an in situ forming tissue adhesive hydrogel as sealant for lung and vascular injury
Authors: Balakrishnan Biji , Payanam Umashanker , Laurent Alexandre , Wassef Michel , Jayakrishnan Athipettah 
Published: April 2021

Abstract

In situ forming tissue adhesives based on biopolymers offer advantages over conventional sutures and staples in terms of biocompatibility, biodegradability, ease of application and improved patient compliance and comfort. Here, we describe the evaluation of in situ gelling hydrogel system based on dextran dialdehyde (DDA) obtained by periodate oxidization of dextran and chitosan hydrochloride (CH) as tissue adhesive. The hydrogel was prepared by reacting aldehyde functions in DDA with the amino functions in CH via Schiff’s reaction. The gelation reaction was instantaneous and took just 4 s. The DDA-CH hydrogel as tissue adhesive was evaluated on a sheep lung parenchymal injury model and a pig aortic model and was compared with the commercially available tissue sealant, Bioglue®. The DDA-CH glue could completely seal the sheep lung incision site even at inflation with air way pressure of 30 cm of H2O with no air leak observed in the incision sites (n = 8) in any of the animals. Histological analyses showed mild inflammation after 2 weeks, comparable to Bioglue®. Resorption of test material by giant cells with no adverse effect on lung parenchyma was seen after 3 months. The DDA-CH glue was also very effective in sealing aortic incisions in a pig model (n = 4) with no failures and aneurisms. The endoluminal surface of the sealed incision in all cases showed intact apposition with adequate healing across the incision. No tissue necrosis or inflammation of endothelial surface could be seen grossly. Our studies show that the DDA-CH hydrogel could function as an effective sealant for the prevention of air and blood leaks following lung and vascular surgery.
Current and future flood risk of new build homes across different socio-economic neighbourhoods in England and Wales
Authors: Rözer Viktor , Surminski Swenja 
Published: April 2021

Abstract
Despite improvements in the management of flood risk and the introduction of new regulations, losses from flooding remain high. An important driver is the continuation of new assets being built in flood prone locations. Over the last decade over 120 000 new homes in England and Wales have been built in flood prone areas. While the yearly rates of new homes in flood risk areas have increased only moderately on the national level, significant differences between and within regions as well as between different flood types exist. Using property level data on new homes built over the last decade and information on the socio-economic development of neighbourhoods, we analyse spatial clusters of disproportional increase in flood exposure from recently built homes and investigate how these patterns evolve under different future climate scenarios. We find that a disproportionately higher number of homes built in struggling or declining neighbourhoods between 2008 and 2018 is expected to end up in areas at a high risk of flooding over their lifetime as a result of climate change. Based on these findings, we discuss issues regarding future spending on flood defences, affordability of private level flood protection and insurance as well as the role of spatial planning for adaptation in the face of climate change.
Research on the Business Model of Multi-station Integration of Grid Enterprises
Authors: Li Siwu , Ma Xiaodi , Lian Weihong , Pan Chan 
Published: April 2021

Abstract
In the context of national strategies such as the energy revolution, “Internet +” and innovation drive, the transformation of traditional energy-based enterprises to integrated energy service providers has become a general trend. Multi-site integration is an important field of integrated energy services. This article takes the business model theory as From the perspective, based on the interpretation of the basic connotation and business model theory of multi-site integration, starting from the four-element model of the business-level business model, the four aspects of business layout and scope, value proposition, target customers, and profit model are the power grid under the energy Internet environment. Provide suggestions on the design of multi-site integrated business model for enterprises.
The influence of knowledge management toward innovation and its impact to food and beverage business performance
Authors: Hidayat C , Hamali S , Faradilah R 
Published: April 2021

Abstract
The aim of the research was to know the influence of knowledge management toward innovation and its impact on business performance, conducted at food and beverage businesses in west Jakarta. This was an explanatory research which applied a quantitative research methods with data analysis tools using structural equation modeling (SEM) using WarpPLS 6.0. The result of the research indicates that knowledge management has a positive and significant effect on business performance. Innovation contributes positively and significantly toward business performance. Knowledge management has a positive and significant impact on innovation.
Sustainable agricultural reform and the persistence of poverty in Indonesia: A path dependence analysis
Authors: Karim M F , Mursitama T N , Affandi R A , Permana A , Kholid M 
Published: April 2021

Abstract
The most important characteristic of poverty in Indonesia is the prevalence of poverty in the agricultural sector. What is the main root of poverty in the agricultural sector in Indonesia? By analyzing the historical account of agrarian reform, the paper examined the evolution of policy toward peasant and agricultural sector in Indonesia from 1960s. It argued that the lack of peasants’ accessibility of land ownership, government reluctance to revitalize agricultural sector, as well as the failed land reform agenda have contributed toward massive poverty in Indonesian agricultural sector. The paper provided further analysis of current Indonesian policy toward agricultural sector.