bluuebunny/crossref_metadata_2025_split huggingface dataset:
Full conversion from ohmic to runaway electron driven current via massive gas injection in the TCV tokamak
Authors: Decker J. , Papp G. , Coda S. , Duval B.P. , Sheikh U. , Blanchard P. , Choi D. , Galperti C. , Calacci L. , Carnevale D. , Ficker O. , Gobbin M. , Labit B. , Macusova E. , Mlynar J. , Plyusnin V. , Sauter O. , the TCV Team  , the EUROfusion MST1 Team  
Published: February 2022

Abstract
Full conversion from ohmic to runaway electron (RE) driven current was observed in the tokamak à configuration variable (TCV) following massive injection of neon through a disruption mitigation valve into a low-density limited circular plasma. Following a partial disruption, a stable 200 kA RE beam is maintained for more than 1 s. Controlled ramp-down of the RE beam with adjustable decay rate was demonstrated. Control of the beam vertical position was achieved down to a RE current of 20 kA. RE beam formation is observed in elongated plasma configurations up to κ = 1.5. A reproducible scenario for RE beam generation without loss of circulating current is of particular interest for disruption modelling applications.
Production and transport modelling of Po-210 in DEMO reactor
Authors: Chiovaro P. , Quartararo A. , Basile S. , Ciattaglia S. , Di Maio P.A. , Moro F. , Moscato I. , Spagnuolo G.A. 
Published: February 2022

Abstract
One of the generic designs of the nuclear fusion DEMO reactor proposed by the EUROfusion consortium foresees the development of a tritium breeding blanket (BB) relying on the use of the liquid-metal PbLi eutectic alloy as both neutron multiplier and tritium breeder, namely the water-cooled lithium lead (WCLL) BB, whose strengths and weaknesses are well known. This paper focuses the attention on one of the possible disadvantages of such a technology: the production of the highly radiotoxic radionuclide 210Po, which could become a safety issue to be accounted for. The 210Po concentration within the PbLi circuit has been assessed by solving a modified version of Bateman’s equations to consider the alloy circulation, so a one-dimensional convective fluid-dynamic model has been set up. Nuclear quantities have been evaluated by Monte Carlo neutron transport analyses using MCNP code and adopting a fully heterogeneous model of DEMO equipped with the WCLL BB. Moreover, rough sensitivity analyses have been performed to assess the influence on the results of the uncertainties related to the 209Bi radiative-capture cross section and the initial concentration of this nuclide which is present in the PbLi as an impurity. Results obtained have been critically discussed and some safety issues have been addressed to evaluate the possible hazard in case of a leak of PbLi accident.
Two price regimes in limit order books: liquidity cushion and fragmented distant field
Authors: Krause Sebastian M , Jungblut Edgar , Guhr Thomas 
Published: February 2022

Abstract
The distribution of liquidity within the limit order book is essential for the impact of market orders on the stock price and the emergence of price shocks. Limit orders are characterized by stylized facts: the number of inserted limit orders declines with the price distance from the quotes following a power law and limit order lifetimes and volumes are power law distributed. Strong dependencies among these quantities add to the complexity of limit order books. Here, we analyze the limit order book in the dimensions of price, time, limit order lifetime and volume altogether. This allows us to identify regularities that are not visible in marginal distributions. Particularly, we find that the limit order book is divided into two regimes. Around the quotes, we find a densely filled regime with mostly short living limit orders closely adapting to the price. Far away from the quotes, we find a sparse filling with long living limit orders, mostly inserted at particular times of the day being prone to flash crashes. We determine the characteristics of those two regimes and point out the main differences. Based on our research, we propose a model for simulating the regime around the quotes.
Ising spin ladder with trimer rungs and next-nearest-neighbor coupling: frustration in physics and agent models
Authors: Sznajd Jozef 
Published: February 2022

Abstract
The extended model of two-leg Ising spin ladder with trimer rungs and next nearest neighbor interaction (NNN) in an external magnetic field is studied using the transfer matrix and linear renormalization group methods. In the standard version (with the same only nearest-neighbor interactions in both legs), such a ladder exhibits very interesting behavior—a frustration driven extremely sharp phase crossover at finite temperature that resembles a phase transition, impossible in one dimension. It is shown that in all considered cases with different interactions in each leg (asymmetric ladder), with NNN interactions and in the presence of small external field, such a crossover takes place when the point at which the effective interleg coupling vanishes coincides with the point at which the interleg correlation function exhibits an inflection point accompanied by the specific heat maximum. A hypothesis is formulated to describe an abrupt change in political view of the people where it is not necessary to resort to a concept of a phase transition, controversial for social systems. In some cases, this phenomenon can be understood as a phase crossover triggered by the level of frustration. The source of this frustration is proposed as an internal conflict between two areas of attitudes of the society members, personal and economic, which are shaped by personality traits possibly modified by life experience.
Scaling of population resilience with dispersal length and habitat size
Authors: Crespo-Miguel Rodrigo , Jarillo Javier , J Cao-García Francisco 
Published: February 2022

Abstract
Environmental fluctuations can create population-depleted areas and even extinct areas for the population. This effect is more severe in the presence of the Allee effect (decreasing growth rate at low population densities). Dispersal inside the habitat provides a rescue effect on population-depleted areas, enhancing the population resilience to environmental fluctuations. Habitat reduction decreases the effectiveness of the dispersal rescue mechanism. We report here how the population resilience to environmental fluctuations decreases when the dispersal length or the habitat size are reduced. The resilience reduction is characterized by a decrease of the extinction threshold for environmental fluctuations. The extinction threshold is shown to scale with the ratio between the dispersal length and the scale of environmental synchrony, i.e. it is the dispersal connection between non-environmentally-correlated regions that provides resilience to environmental fluctuations. Habitat reduction also decreases the resilience to environmental fluctuations, when the habitat size is similar to or smaller than the characteristic dispersal distances. The power laws of these scaling behaviors are characterized here. Alternative scaling functions with spatial scales of population synchrony are found to fit the simulations worse. These results support the dispersal length as the critical scale for extinction induced by habitat reduction.
Critical points in the CP

N−1 model
Authors: Diouane Youness , Lamsen Noel , Delfino Gesualdo 
Published: February 2022

Abstract
We use scale invariant scattering theory to obtain the exact equations determining the renormalization group fixed points of the two-dimensional CP

N−1 model, for N real. Also due to special degeneracies at N = 2 and 3, the space of solutions for N ⩾ 2 reduces to that of the O(N
2 − 1) model, and accounts for a zero temperature critical point. For N < 2 the space of solutions becomes larger than that of the O(N
2 − 1) model, with the appearance of new branches of fixed points relevant for criticality in gases of intersecting loops.
Optimal Operation Of Distribution Network With Photovoltaic
Authors: Sun Xiaoxin , Ye Hailong , Li Yan , Huangfu Fenyu , Zhao Chenxu 
Published: February 2022

Abstract
As a clean, renewable and abundant new energy, photovoltaic power generation has gradually gained people’s favor after wind power. Affected by weather, light intensity and temperature, the output of photovoltaic power generation has obvious fluctuation and uncertainty, which seriously threatens the safe and stable operation of power system. Therefore, it is of great practical significance to study the optimal operation of distribution network containing photovoltaic. In this paper, the short-term output characteristics of photovoltaic power generation are studied, and the short-term output model of photovoltaic power generation is established by using the probability distribution of “clear sky index”. On this basis, based on the power flow calculation principle of DistFlow, the operation optimization model of distribution network with photovoltaic power plants is established, and the stochastic characteristics of photovoltaic power generation are flexibly handled by the opportunity constraint method. Using this model, the influence of the stochastic characteristics of photovoltaic power generation on the day-ahead dispatching and reserve capacity of distribution network is calculated and analyzed.
Traveling Wave Fault Location Technology in Distribution Network Based on Non-Contact Sensor
Authors: Ye Yong , Zeng Xiangjun , Yu Kun , Liu Feng , Bi Lanxi 
Published: February 2022

Abstract
In view of the fact that traditional traveling wave sensors need to be directly connected with primary high-voltage equipment, the layout is not flexible, construction is inconvenient, and the traditional ferromagnetic coil traveling wave sensors have problems such as low sensitivity and magnetic saturation. The use of magnetoresistance chip to design non-contact traveling wave sensor is proposed. Theoretical analysis of the magnetoresistance chip is carried out, and the tunnel magnetoresistance chip is selected as the non-contact sensor magnetic sensitive element; the non-contact sensor hardware circuit is designed, the sample is trial-produced, and the experimental test is carried out. The experiment shows that the non-contact sensor can detect a traveling wave signal with a bandwidth of 100kHz∼5MHz, which meets the requirements of traveling wave detection for common fault types in the distribution network. A demonstration project has been built, and operation shows that the non-contact sensor can successfully detect single-phase grounding, interphase short circuit, lightning strikes and other fault types traveling wave signal, sensitivity is higher than traditional traveling wave sensor, positioning error is less than 150m.
Rolling Wheel Abrasion Condition Monitoring of Control Rod Drive Mechanism in Nuclear Reactor
Authors: Zhang Liming , Li Qiao , Luo Jingdong , Li Lin , Wang Yiming 
Published: February 2022

Abstract
During the operation of in nuclear reactor, the reliability is largely influenced by the changes of working states of control rod drive mechanism. The abrasion of rolling wheel is one of the most serve faults leading to the control failure. To monitor the rolling wheel in the control rod drive mechanism in nuclear reactor, a new recognition method based on complexity of the singular spectrum entropy has been introduced. In this method, the singular spectrum entropy of vibration signal of the system is firstly calculated. Then an index of brain wave information complexity is used to define the singular spectrum entropy complexity. The complexity index is more sensitive to the uncertainty of the signal and it can effectively reflect the intensity of the random shock signal by abrasion which makes it possible to assess the abrasion condition. Through the control rod drive mechanism of whole life test, it is proved that this method can be used in nuclear reactor control rod drive mechanism rolling wheel abrasion condition monitoring with proper accuracy.
Selection of Electrochemical Energy Storage Types Based on Renewable Energy Storage Technology
Authors: Jiang Minglei 
Published: February 2022

Abstract
With the strong support of the national new energy policy, higher requirements are put forward for the flexible regulation ability base on the power system. It is the key factor of the flexible regulation ability of the system. How to achieve better new energy consumption through reasonable selection of energy storage types has become an urgent problem to be solved. In view of this, this paper establishes an energy storage type selection model and analyzes a numerical example. The conclusion is that lead-carbon battery and lithium-ion battery have different advantages: lead battery is more suitable for small-scale new energy consumption. Although lithium-ion battery is superior to lead-carbon battery in construction, operation and maintenance, it has more cycles, avoids frequent replacement, and has high battery conversion efficiency. With the further decline of battery manufacturing cost, the benefit of investing in energy storage system will be further improved. The conclusion can provide a basis for formulating relevant policies
Research on Energy Harvesting of Piezoelectric Vibration Using 2D ABH Structure
Authors: Chen Bing , Ren Jiang , Ma Kaixuan 
Published: February 2022

Abstract
The acoustic black hole (ABH) effect can achieve energy concentration by changing the structural characteristics and reducing the propagation velocity of curved waves. This way of energy gathering provides a new idea for the harvesting of vibration energy. In this study, an energy collection structure with 2D ABH characteristics is proposed and studied, which can effectively provide energy harvesting efficiency. According to the theory of geometric acoustics, the size of the piezoelectric patch is designed to be smaller than the half wavelength of the bending wave at the centre of ABH, so as to avoid the situation of positive and negative charge cancellation caused by multiple bending waves on a single piezoelectric patch, and improve the energy utilization rate. The electromechanical coupling model of 2D ABH structure and piezoelectric energy collection circuit was established to study the energy harvesting performance of the plate with 2D ABH structure under transient and steady state conditions. The results show that the 2D ABH structure can effectively increase the frequency width range of vibration energy harvesting and improve energy harvesting efficiency
Hysis Simulation Optimization of Distillation Desulfurization for Mixed Light Hydrocarbons in Tahe Oil Field
Authors: He Yuantai , Zhao Deyin 
Published: February 2022

Abstract
In order to improve the performance of distillation desulfurization unit for mixed light hydrocarbons in Tahe Oil Field, HYSIS simulation investigation was performed. The influences of feed temperature, operation pressure, reboiler temperature and plate number on sulfur content of bottom product, flow rate of product, energy consumption and saturated vapor pressure of light hydrocarbons were carefully discussed. It is indicated that the total energy consumption can be reduced by 45.78% if the unit is operated at the optimized conditions. Meanwhile, the sulfur content of the bottom product will be less than 0.05% and the flow rate of bottom product can be increased by 2.04 t/d while the flow rate of top gas product can be decreased up to 754.11 Nm3/d. In addition, the saturated vapor pressure of light hydrocarbons is lower than the operation pressure.
Research on Full Flow Passage Characteristics of Double Screw Pump Based on Immersion Entity Method
Authors: Qiu Rangjia , Zhang Weibin , Jiang Qifeng , Shen Kun , Gread Bois , Yuan Shuai 
Published: February 2022

Abstract
In order to obtain the full flow passage characteristics of the suction chamber and the internal rotor of the double rectangular screw pump, based on the immersed solid method, using the CFD simulation platform, the transient numerical simulation of the typical design conditions of the screw pump with given basic parameters is carried out by using the N-S equation and SST Turbulence Model, and the flow characteristics of the suction chamber of the rectangular screw pump and the flow characteristics of the rotor during operation are obtained. The numerical simulation shows that the pressure fluctuation in the suction chamber is mainly caused by the periodic opening and closing of the closed domain of the volume formed by the double screw rotation, which is mainly the frequency-doubling pulse. The pressure field and the vorticity field analysis show that the uneven of pressure and velocity distribution of internal flow are also mainly caused by the periodic opening and closing of the closed volume formed when the twins-crew is rotated, and the negative pressure and the vortex are mainly generated from the enclosed volume area and spread in the axial direction to the suction inlet and in the radial direction.
Application and Analysis of Air-Source Heat Pump Heat Supply System in Cold Areas
Authors: Ji Shuo , Liu Yang , Xu Huixuan , Yang Yiwei , Chen Jing , Xue Keli , Sun Yong 
Published: February 2022

Abstract
With the establishment of 3060 double carbon target, higher requirements are put forward for clean energy heating of new buildings in China. Among them, air source heat pump has entered the public’s field of vision with its characteristics of cleanness, environmental protection and high operating efficiency. With the development of heat pump technology, air-source heat pump can run stably at -25°C, and Zhangjiakou, which is located in a cold area, can also use air-source heat pump as the heat source of office buildings. At the same time, the economic analysis shows that the building heating cost of air source heat pump heating system is more economical and energy-saving than that of new central heating system.
Research on Power System Material Management Digitalization Technology Based on Process Reengineering
Authors: Yang Ruosong , Wang Jing , Zhang Xiaoyue , Fu Junxiong , Jia Xinyi 
Published: February 2022

Abstract
This paper analyzes the problems existing in the material management system of electric power system, probes into the digital technology of material management business of electric power system, and puts forward the application of business process reengineering concept in material management of electric power system. Study the digital method of material management business, use the business process reengineering technology to study the hidden data advantage of the material management business of the city power grid, realize the data flow to the right person automatically and transmit the right data at the right time, solve the contradiction between global demand and scattered supply of data and information.
Miniaturized BDS Anti-jamming Antenna Research
Authors: Dong Yanchen , Xue Yulei , Liu Shijie , Dai Peipei , Wang Sen , Xing Jianping 
Published: February 2022

Abstract
At present, BeiDou-3 Navigation Satellite System (BDS) was officially commissioned, and BDS is widely used in military and civil terminal types of equipment, including missiles, warships, satellites, ships, aircraft, unmanned bicycles, intelligent transportation, etc. In view of the fact that the navigation signal has easily interfered in the process of practical application, this paper designs a 5-array anti-jamming miniaturized antenna with a volume of only 110mm*110mm. The four surrounding BDS-B3 frequency elements are used for anti-interference processing, and the middle BDS-B1 element is used to receive BDS-B1 frequency signals directly, and the final BDS-B3 and BDS-B1 signals after anti-interference processing are controlled by RF switch for final output to improve navigation accuracy and reduce power consumption when there is no interference. Finally, the RF circuit of the antijamming array antenna is studied. By analyzing the key parameters such as noise coefficient, gain and IMD3 ( Third Order Intermodulation ), the design scheme of high performance antijamming RF circuit is determined.
Automatic Recognition Method of Broken Transmission Line Defect Image Based on Deep Transfer Learning
Authors: Zhou Yaoxiang , Sun Hongdi , Liu Changlong , Zhang Jiaming , Zhu Zhenbo , Tang Bin 
Published: February 2022

Abstract
The material of ACSR in transmission line is prone to local damage, which leads to broken strand defect and reducing power consumption safety. Therefore, an automatic recognition method of broken strand defect image of transmission line based on deep transfer learning is designed to improve the automatic recognition effect of broken strand defect image. The multi-scale algorithm is used to enhance the image. In the feature extraction part of the depth transfer learning framework in the confusion domain, the multi-source domain transfer and dual flow fusion algorithm are used to extract the features of the enhanced image, and the Euclidean distance between the feature vector and the template image feature vector is used to correct the image features; using the corrected image feature training network propagated to the automatic defect recognition part and the domain classification part, the loss function and back propagation algorithm are used to reduce the loss of feature extraction and automatic defect recognition part, and the optimal results of automatic defect recognition and domain classification are obtained. The experimental results show that the method can enhance the image effectively with high definition. At different image angles, the recognition accuracy of this method is as high as 0.96, which has better automatic recognition effect of defect image.
Network-on-Chip hardware Trojan detection platform based on machine learning
Authors: Yao Jiaqi , Zhang Ying , Xin Chen 
Published: February 2022

Abstract
The extensive use of the Network-on-Chip (NoC) architecture makes it vulnerable to malicious attacks by hardware Trojans, especially Denial of Service (DoS) attack. To address this issue, this paper proposes a general NoC hardware Trojan detection platform based on machine learning. The platform establishes a security detection module including traffic feature tracking unit, feature registration unit, change point detection unit, and random forest detection unit, to accomplish the traffic-related hardware Trojan detection. The live-lock and fault routing Trojans are inserted in the proposed platform, then the simulation results verify the effectiveness of platform function and show its superiority to other existing detection schemes.
A Rotating Object Detection Method Based on Anchor-Free in Remote Sensing Scene Images
Authors: Yuan Zhengwu , Kou Sijia , Tang Qiao , Xu Fapeng 
Published: February 2022

Abstract
The core of the object detection task is to be able to accurately classify and regress the object position. The current two-stage algorithm based on convolutional neural networks has achieved good results in horizontal box detection, but the effect in rotating bounding box detection is limited, and the anchor-based detection algorithm has problems, such as complicated hyper-parameter design and imbalance between positive and negative samples. In order to better solve the above problems, the model in this paper adopts a single-stage anchor-free method, uses the high resolution network(HRNet) to obtain the high-resolution feature map of cross fusion, and uses a rotating Gaussian kernel for predicting center point, which can increase the number of positive samples at the center point, simultaneously realize the improvement of detection accuracy and speed. Experimental results on HRSC2016 and DOTA datasets, which demostrates that our method exceed the state-of-art models, and indicates the effectiveness of the proposed methods.