bluuebunny/crossref_metadata_2025_split huggingface dataset:
Coarse-grained model of a nanoscale-segregated ionic liquid for simulations of low-temperature structure and dynamics
Authors: Kloth Sebastian , Bernhardt Marvin P , van der Vegt Nico F A , Vogel Michael 
Published: February 2021

Abstract
We perform molecular dynamics simulations to study the structure and dynamics of the ionic liquid [Omim][TFSI] in a broad temperature range. A particular focus is the progressing nanoscale segregation into polar and nonpolar regions upon cooling. As this analysis requires simulations of large systems for long times, we use the iterative Boltzmann inversion method to develop a new coarse-grained (CG) model from a successful all-atom (AA) model. We show that the properties are similar for both levels of description at room temperature, while the CG model shows stronger nanoscale segregation and faster diffusion dynamics than its AA counterpart at low temperatures. Exploiting these features of the CG model, we find that the characteristic length scale of the structural inhomogeneity nearly doubles to ∼3 nm when the temperature is decreased to about 200 K. Moreover, we observe that the nanoscale segregation is characterized by a bicontinuous morphology. In worm-like nonpolar regions, the ends of the octyl rests of the cations preferentially aggregate in the centers, while the other parts of the alkyl chains tend to be aligned parallel on a next-neighbor level and point outward, allowing for an integration of the imidazolium head groups of the cations into polar regions together with the anions, resembling to some degree the molecular arrangement in cylindrical micelles.
Magnet alignment monitoring system with eigenfrequency-based wire sag correction
Authors: Zhang C , Azumi N , Fukami K , Kimura H , Kiuchi J , Matsui S , Takemura Y , Takano S , Watanabe T 
Published: February 2021

Abstract
The precision of magnet alignment in next-generation light sources is critical. To achieve this, the multipole magnets on a common girder of SPring-8-II, an upgrade of SPring-8, are planned to be aligned using the vibrating-wire technique. We developed an alignment monitoring system to monitor the magnet positions in the tunnel where the vibrating-wire technique cannot be executed while the magnets are not energized or when there are vacuum chambers in the magnet center. The alignment monitoring system utilizes a non-contact capacitive sensor embedded in a ceramic ball to measure the wire position relative to the center of the ball and derives the wire sag by measuring a higher mode eigenfrequency. The constitution of this system is illustrated for relevant studies, including the investigation of wire sag against the eigenfrequency, observation of the actual wire sag at a test bench, and validation of the system on the girders for the prototype magnets of SPring-8-II. The system measured the positions of a series of magnets with a precision of ±4 µm (peak to peak) in a 4 m range, in both the horizontal and vertical directions, meeting the requirement of SPring-8-II.
Delay induced dynamical behaviors in a stochastic insect outbreak model in presence of Michaelis-Menten type harvesting
Authors: Mandal Saroj Kumar , Poria Swarup 
Published: February 2021

AbstractIn this paper, we have considered stochastic insect outbreak model in presence of Michaelis-Menten type of harvesting. The growth of the insect species is taken as delayed logistic type together with a multiplicative noise term. The impact of internal environmental disturbances on the insect population is taken into account by adding an additive noise term in the model. The effects of the noises, cross correlation strength of the noises and time delay on the insect population are investigated and observed very rich dynamical behaviors. It is ascertained that multiplicative noise reduces population size greatly than additive noise. As usual, increase of harvesting of insect species reduces the population size at faster rate. Regime shift is possible depending on multiplicative noise only in contrast it is not possible via only additive noise. One of the key finding is the noise-delayed switching phenomenon for negatively correlated noises.
Study on the influence factors of aging property of nano-modified asphalt
Authors: Sun Huadong , Yao Ming , Jiang Peng , Ding Yongling , Zhang Aiqin , Wang Baoqun , Liu Hongke 
Published: February 2021

Abstract
In order to study the aging property of nano-modified asphalt, the values of nano-modified asphalt like softening point, penetration, ductility and viscosity etc. before and after the aging test were measured by controlling the content and types of nanomaterial, and then the relevant aging property indexes were calculated, the aging property optimum of the modified asphalt was determined by scientific methods of mathematical statistics and analysis. The testing results show that nanomaterial can effectively improve the high-temperature stability, low-temperature crack resistance and viscoelasticity of nano-modified asphalt. The content and type of nanomaterial have a great influence on the aging property of modified asphalt, the anti-aging performance of nano-modified asphalt with 0.5% titanium dioxide content is better.
Automatic profile tracking of deformed surface in mirror milling based on ultrasonic measurement
Authors: Guo P , Wu Z M , Zhang Y , Zhu L M 
Published: February 2021

Abstract
Mirror milling is an effective and environmentally friendly means to manufacture large thin-walled parts. The remaining wall thickness of such parts is supposed to be strictly controlled to balance strength and weight reduction. However, the clamping deformation will lead to overcut or undercut if the nominal tool path is directly utilized. To address this issue, it would be helpful to scan and reconstruct the deformed unknown workpiece surface and then adjust the nominal tool path. In this paper, an automatic profile tracking approach is proposed to adaptively sample the deformed surface and reconstruct the surface model, based on a multi-ultrasonic-probe measurement system. The adaptive sampling algorithm calculates the position and surface normal of the next sampling point simultaneously based on a curvature sphere, which utilizes the surface information of the local area covered by the multi-ultrasonic-probe system. Moreover, a boundary processing algorithm is proposed to ensure the sampling process is carried out inside the boundary. The feasibility of the proposed automatic measurement method was validated through experiment.
Decision-making and computational linguistic tools application for overall estimation of the level of social tension
Authors: Shchoholiev Maksym , Andriichuk Oleh , Tsyganok Vitaly , Tretynyk Violeta 
Published: February 2021

Abstract
The study of social tension, its causes and laws of variation, as well as establishing its level is crucial during crises, epidemics and wars. The purpose of this research is to develop the system for determining the level of tension in society on the basis of data from social networks using decision-making and computational linguistic tools. The impact of various factors on the growth of social tensions is determined with the help of knowledge bases built by means of decision support systems. To analyse the emotionality of comment on news publications the TF-IDF and Word2vec methods are used. Within the framework of the method of goal dynamic estimating of alternatives, the level of social tension is determined as the degree of achievement of the main goal, the ratings of news publications and the ratings of news events that contributed to the increase in social tension are calculated. The study presents the efficient method of determining the level of social tension and defining the main factors that have the greatest impact on the growth of social tension. Further studies are needed to improve the estimates of factors and the overall estimate of social tension.
The vibration character and reducing vibration analysis about series manipulator’base
Authors: Xin Wu Zai , Tai Li 
Published: February 2021

Abstract
During the running of serial manipulator, unbalanced force produced by base with respect to the floor has a great effect on the accuracy of manipulator’s end. Aiming at the above problem, we take the three-degree-of-freedom serial manipulator as an example to analysis. First, taking advantage of the methodology of Newton-Euler dynamics to derive the relative force between two joint rods and base with respect to the floor while the manipulator is at the period of working. Then, building the spring-damp vibration model to calculate the parameter formula of the base with relative to the ground. Finally, analysing the characteristics of vibration and giving measures of reducing vibration, simulating to prove the effectivity using MATLAB. The simulation results show that when choosing other values of ωn and ξ, vibration amplitude has significant decrease compared with the conditions of ωn = ωi or ξ =0.414 when other parameters unchanged, which provides a certain reference for further research on vibration reduction of series manipulator.
Simulation study on pedestrian evacuation optimization in a multi-exit building
Authors: Fu Yanyun , Shi Wenxi , Zeng Yiping , Zhang Hui , Liu Xiaodong , Liu Yi 
Published: February 2021

Abstract
Two multi-exit selection models based on social force model are presented to simulate pedestrian evacuation, and the model coefficients are optimized by considering the effect of the exit distance, exit width, crowd number and distribution. The evacuation processes employing shortest distance evacuation strategy, static and dynamic exit selection model are compared. The effects of the crowd number, distribution and desired speed are investigated on the evacuation time and balance degree with the static and dynamic exit selection model. The effects of group size and group shape on the evacuation time in dynamic exit selection model is explored. The simulation results indicate that the proposed dynamic exit selection model can realistically reflect the pedestrian evacuation and help predicate the time available in building spaces with multiple exits, which can lead to a shorter evacuation time and higher evacuation efficiency. The study has some guiding significance for emergency evacuation and exits design of multi-exit buildings.
Modeling and adaptive torque computed control of industrial robot based on lie algebra
Authors: Mei Zaiwu , Chen Liping , Ding Jianwan 
Published: February 2021

Abstract
Computed Torque Control (CTC) is the most direct and effective way to improve the motion control performance of robot. But the computation of the joint torque is quite difficult, and because of the uncertainty of the parameters, an accurate inverse robot dynamic model for torque generation is difficult to obtain. An efficient inverse dynamic model of the industrial robot based on lie algebra is proposed and applied to the computed torque control. In order to overcome the uncertainty of parameters, the inverse robot dynamic model is linearized and an adaptive computed torque control is proposed. In order to validate the adaptive torque computed control method, a multi-domain integrated system model of 6-DOF industrial robot is established and the simulation results show that the adaptive computed torque control system has the function of parameter self-learning, the inaccurate parameters converge to the true value finally. The adaptive control shows better control performance than the traditional computed torque control.
Application of OFDM transmission method for railway signalling system via track circuit
Authors: Higuchi Ryo , Mochizuki Hiroshi , Nakamura Hideo , Ishikawa Ryo , Sano Minoru , Nishida Satoshi 
Published: February 2021

Abstract
At present, railway signalling systems in which control information is transmitted via track circuits (rails) have been deployed in many applications, such as automatic train control (ATC) systems in Japan. In these systems, it is difficult to increase the transmission speed due to the transmission characteristics of rails. To overcome this problem, we have proposed a new transmission method using orthogonal frequency division multiplexing (OFDM) and evaluated a configuration in which data judgment using majority decision was applied for improving the bit error rate (BER) characteristics. In this paper, we describe an FPGA implementation of our proposed method and the performance of the implemented devices.
Vger: a VRF based cross-chain mechanism for blockchains
Authors: Shu Fangxing , Lei Kai 
Published: February 2021

Abstract
As a new distributed computing paradigm, blockchain is rapidly evolving in areas such as digital finance and cryptocurrency. However, existing blockchain projects adopt different blockchain architectures and protocols, as a result it is difficult for different blockchain systems to flow value to each other or communicate information, and different blockchain systems become isolated islands. This has brought limitations to the usable range, function and scalability of blockchain technology. In order to solve this problem, and bulid trust between different blockchain networks, cross-chain technology has been proposed and received a lot of attention. In this paper we proposed a cross-chain mechanism based on verifiable random functions ( VRF ) and threshold cryptography, we name this scheme as Vger. In Vger, through VRF based cryptographic sortition to select management committee for escrow account and dynamic security setting mechanism, that optimize the security and efficiency about cross-chain transaction.
Exploring the possibility space: taking stock of the diverse capabilities and gaps in integrated assessment models
Authors: Keppo I , Butnar I , Bauer N , Caspani M , Edelenbosch O , Emmerling J , Fragkos P , Guivarch C , Harmsen M , Lefèvre J , Le Gallic T , Leimbach M , McDowall W , Mercure J-F , Schaeffer R , Trutnevyte E , Wagner F 
Published: February 2021

AbstractIntegrated assessment models (IAMs) have emerged as key tools for building and assessing long term climate mitigation scenarios. Due to their central role in the recent IPCC assessments, and international climate policy analyses more generally, and the high uncertainties related to future projections, IAMs have been critically assessed by scholars from different fields receiving various critiques ranging from adequacy of their methods to how their results are used and communicated. Although IAMs are conceptually diverse and evolved in very different directions, they tend to be criticised under the umbrella of ‘IAMs’. Here we first briefly summarise the IAM landscape and how models differ from each other. We then proceed to discuss six prominent critiques emerging from the recent literature, reflect and respond to them in the light of IAM diversity and ongoing work and suggest ways forward. The six critiques relate to (a) representation of heterogeneous actors in the models, (b) modelling of technology diffusion and dynamics, (c) representation of capital markets, (d) energy-economy feedbacks, (e) policy scenarios, and (f) interpretation and use of model results.
Research on Customized Passenger Route Optimization Based on Improved Genetic Algorithms
Authors: jun Ma , Hongzhou Wu , Xiu Zhang , Huijuan Zheng , Yufei Chen 
Published: February 2021

Abstract
In view of the passenger travel demand changing from popularization to high quality and customization, a customized passenger route planning method with multi-departure point and multi-arrival point is proposed, and a customized passenger route optimization model with the minimum total cost for enterprise operation and passenger travel time is established. An improved genetic algorithm is proposed to solve the optimization model. Finally, the feasibility of the optimization method and the effectiveness of the improved genetic algorithm are verified by a practical case.
Land subsidence in Beijing from 2017-2018 revealed by Sentinel-1A TOPS time series interferometry
Authors: Ran Peilian , Li Shaoda , Dai Keren , Yang Xiaoxia 
Published: February 2021

Abstract
Beijing is one of the largest cities in China, which has suffered from land subsidence for a long time. According to the study from 2005 to 2017, the maximum subsidence rate of Beijing is more than 10 cm/year. This paper will use Sentinel-1A TOPS data for the first time to reveal the land subsidence of Beijing from 2017 to 2018 by using time series interferometry. SBAS-InSAR technology was used for time series analysis. The annual mean subsidence rate and time series subsidence of Beijing were obtained. The results show that the east of Chaoyang district and the northwest of Tongzhou district were the severe subsidence areas in Beijing, and the subsidence rate is more than 10 cm/year, which indicates that the subsidence area in Beijing is continuous in recent years, and corresponding measures should be taken by the government.
Design and Kinematic Analysis of a Wall-climbing Robot for Bridge appearance Inspection
Authors: Qin Yue , Dong Shaojiang , Pang Rong , Xia Zongyou , Zhou Qingsong , Yang Jianxi 
Published: February 2021

Abstract
In order to solve the maneuverability and safety of large bridge appearance inspection, a new type of hexapod wall-climbing robot is designed. As an important branch of mobile robot field, the organic combination of ground mobile robot technology and adsorption technology greatly expands the application range of robot. This paper introduces the mechanical structure of two self-designed legged wall-climbing robots, puts forward four problems on the quadruped robot and improves them on the hexapod robot. At the same time, in order to control the hexapod wall-climbing robot, the kinematics model of the hexapod wall-climbing robot must be established, and on this basis, the forward and inverse kinematics equations of the robot should be solved. The research results show that the two new robots meet the requirements of reliable adsorption and flexible movement, and have large application scenarios. The forward and inverse kinematics solved by the established kinematics model is proved to be effective by experiments.
Research on Optimization of Hoisting Sequence of Main Girder of Asymmetric Long-span Suspension Bridge
Authors: Xiong Shaohui , Li Yang , Fu Bin 
Published: February 2021

Abstract
With the emergence of asymmetric long-span suspension bridge, it is necessary to study the optimization of hoisting sequence of the main girder of this type of suspension bridge. According to the relationship between the lifting sequence of the main girder and the pushing scheme of the pylon, the method flow of optimizing the lifting sequence of the main girder of the asymmetric long-span suspension bridge is given. Taking an asymmetrical long-span suspension bridge in Guangdong Province as an example, this method is used to optimize the hoisting sequence of the main girder and put it into practice. Good results are obtained and verified: the hoisting of the main girder should be carried out from the middle of the span to the two pylons, and the hoisting speed of the middle side span should be consistent with the proportion of the standard beam sections of the middle side span, and the maximum allowable deviation of the pylon and the main girder should be used in the jacking scheme of the pylon The hoisting sequence shall be formulated based on. It can provide a useful reference for the hoisting of the main girder of the same type suspension bridge and the suspension bridge with slings on both sides of the bridge.
State-of-the-art review on asphalt mixture distribution uniformity based on digital image processing technology
Authors: Xiaoli Chen , Jianfei Zhang , Xin Wang , Yongqiang Zhu , Hui Guo , Yidong Xu 
Published: February 2021

AbstractAsphalt mixture uniformity has an important impact on the long-term performance of pavement. This paper introduces the asphalt mixture uniformity evaluation method based on digital image processing technology, lists a variety of evaluation indicators based on different evaluation ideas, and finally points out the advantages of this method compared with the traditional method and new detection technology, as well as the shortcomings of the current method.
Open block structure planning of eco city based on big data spatial syntax
Authors: Tang Yanming 
Published: February 2021

Abstract
For high-frequency sub-images, a hybrid particle swarm optimization algorithm is used to select the threshold, and the neighbourhood algorithm based on average gradient selection is used for fusion. This algorithm can effectively improve the fusion effect of fused images. The experimental research results show that combining the characteristics of gradient intensity and phase consistency, the characteristic method of compressing the information while retaining important information, which is convenient for real-time processing, is used for related research on sensor image fusion. The application of big data to stock planning will help to promote the reform of planning technology and planning subject, and help historical districts better carry out protection planning, construction implementation and operation management. In order to give full play to the urban spatial function, this paper puts forward an ecological city open block structure planning method based on big data spatial syntax. Taking the big data spatial syntax as the core and taking the practical problems as the guidance, this paper constructs the method system and technical realization of the planning, construction and operation management of the historical block supported by the big data spatial syntax, so as to open the block stock of the ecological city The planning methodology is discussed and innovated.
Stability Analysis of Rock-soil Mixture Slope
Authors: Zhongfeng Yang , Yuqin Ding , Jiangong Chen 
Published: February 2021

Abstract
This research provides a method of random generation of Soil-rock Mixture (SRM) model depends on digital imaging technology and rock stone database technology. With processed rock shape diagrams, database of rock shape had been built and a method of random generation depend on this database had been provided. The SRM backfilled slope models were generated with random generation method. Couples of SRM slope models had been simulated with ABAQUS CAE to study the stability of SRM slope with different parameters variations. The influence of block stones on the slope stability is main caused by rock stones’ slipresistance effect. When the stone content is 40%-50%, the block stones gradually contact with each other and form a framework. The safety factor gradually increases. The spatial distribution of rock stones at the foot of the slope has the most obvious influence on the stability of SRM slope. With the increase of maximum block size, the slope stability decreases firstly and then increase. The sliding resistance effect is the key factor of the SRM slope stability. Aggregation of small size stones or large size stones can change the shape of the sliding surface and have great influence on the stability of the slope.
Road performance and construction of weathered siltstone for expressway subgrade
Authors: De-yong Wang , Jun-long Hu , Jing Wang , Shang-hui Gao 
Published: February 2021

Abstract
Whether weathered siltstone can be used for expressway subgrade filling, there is currently no clear regulation, and there is a lack of relevant evaluation standards. In order to solve the problem of expressway slag disposal and the source of subgrade fillers, relying on an expressway in northern Guangdong, the characteristics of compaction and disintegration of weathered siltstone material are tested and studied. The research shows that: the weathered sandstone material has strong softening and disintegration characteristics, but good compaction performance, and can be used for expressway subgrade filling. The filling process parameters of weathered siltstone subgrade are determined through field test.