bluuebunny/crossref_metadata_2025_split huggingface dataset:
A painful matter: the sandal as a hitting implement in Athenian iconography
Authors: Young Yael 
Published: August 2020

AbstractThe article examines a series of images on Athenian ceramic vases in which sandals are depicted as a hitting implement. This iconographic motif appears mainly in two contexts: educational scenes, where an adult hits a subordinate, and erotic scenes, where the hitting action is almost always performed by males upon female prostitutes. The utilisation of this specific mundane object, rather than equally available others, for these violent acts is explored in light of psychologist James J. Gibson’s term “affordance”, which refers to the potentialities held by an object for a particular set of actions, stemming from its material properties. I suggest that the choice of the sandal is not arbitrary: it supports these aggressors’ desire to cause pain to those of lower status, thereby controlling and humiliating them. The affordances of the sandal, stemming from its shape and material and the inherent potentialities for action, are perceived and exploited by the hitters. Though not designed as a hitting implement, in the hands of these privileged figures in these specific situations, the mundane, ordinary sandal becomes the medium, a social agent, by which their control attains physical embodiment. Thanks to the Athenian vase painters, we are able to register and visualise latent affordances of the sandal that previously lay out of sight. It seems that in the context of Athenian society, the supposed dichotomy between the ordinary usage and the extraordinary violent usage of the sandal collapses. In this particular case, hitting with a sandal seems as ordinary as donning it in everyday use.
Machine learning shadowgraph for particle size and shape characterization
Authors: Li Jiaqi , Shao Siyao , Hong Jiarong 
Published: August 2020

Abstract
Conventional image processing for a particle shadow image is usually time-consuming and suffers degraded image segmentation when dealing with images consisting of complex-shaped and clustered particles with varying backgrounds. In this paper, we introduce a robust learning-based method using a single convolution neural network for analyzing particle shadow images. Our approach employs a two-channel-output U-net model to generate a binary particle image and a particle centroid image. The binary particle image is subsequently segmented through a marker-controlled watershed approach with the particle centroid image as the marker image. The assessment of this method on both synthetic and experimental bubble images has exhibited a better performance compared to the state-of-art non-machine-learning method. The proposed machine learning shadow image processing approach provides a promising tool for real-time particle image analysis in industrial applications.
Monte Carlo implementation of new algorithms for the evaluation of averaged-dose and -track linear energy transfers in 62 MeV clinical proton beams
Authors: Petringa G , Pandola L , Agosteo S , Catalano R , Colautti P , Conte V , Cuttone G , Fan K , Mei Z , Rosenfeld A , Selva A , Cirrone GAP 
Published: August 2020

Abstract
We exploited the power of the Geant4 Monte Carlo toolkit to study and validate new approaches for the averaged linear energy transfer (LET) calculation in 62 MeV clinical proton beams. The definitions of the averaged LET dose and LET track were extended, so as to fully account for the contribution of secondary particles generated by target fragmentation, thereby leading to a more general formulation of the LET total. Moreover, in the proposed new strategies for the LET calculation, we minimised the dependencies in respect to the transport parameters adopted during the Monte Carlo simulations (such as the production cut of secondary particles, voxel size and the maximum steplength). The new proposed approach was compared against microdosimetric experimental spectra of clinical proton beams, acquired at the Italian eye proton therapy facility of the Laboratori Nazionali del Sud, Istituto Nazionale di Fisica Nucleare (INFN-LNS, Catania, I) from two different detectors: a mini-tissue equivalent proportional chamber (TEPC), developed at the Legnaro National Laboratories of the National Institute for Nuclear Physics (LNL-INFN) and a silicon-on-insulator (SOI) microdosimeter with 3D sensitive volumes developed by the Centre for Medical Radiation Physics of Wollongong University (CMRP-UoW). A significant increase of the LET in the entrance region of the spread out Bragg peak (SOBP) was observed, when the contribution of the generated secondary particles was included in the calculation. This was consistent with the experimental results obtained.
Cerebellar adaptive mechanisms explain the optimal control of saccadic eye movements
Authors: Kalidindi Hari Teja , Vannucci Lorenzo , Laschi Cecilia , Falotico Egidio 
Published: August 2020

Abstract
Cerebellar synaptic plasticity is vital for adaptability and fine tuning of goal-directed movements. The perceived sensory errors between desired and actual movement outcomes are commonly considered to induce plasticity in the cerebellar synapses, with an objective to improve desirability of the executed movements. In rapid goal-directed eye movements called saccades, the only available sensory feedback is the direction of reaching error information received only at end of the movement. Moreover, this sensory error dependent plasticity can only improve the accuracy of the movements, while ignoring other essential characteristics such as reaching in minimum-time. In this work we propose a rate based, cerebellum inspired adaptive filter model to address refinement of both accuracy and movement-time of saccades. We use optimal control approach in conjunction with information constraints posed by the cerebellum to derive bio-plausible supervised plasticity rules. We implement and validate this bio-inspired scheme on a humanoid robot. We found out that, separate plasticity mechanisms in the model cerebellum separately control accuracy and movement-time. These plasticity mechanisms ensure that optimal saccades are produced by just receiving the direction of end reaching error as an evaluative signal. Furthermore, the model emulates encoding in the cerebellum of movement kinematics as observed in biological experiments.
Research on Controlling Limits for Electromagnetic Environment in China
Authors: Tu Anqi , Zhang Zhiyong , Runa A , Zhang Han 
Published: August 2020

Abstract
With the remarkable growth of power demand, power transmission and transformation facilities are gradually developing towards the direction of large capacity and ultra high voltage. In China, 500kV EHV AC power grid is mainly used for long-distance power transmission. However, people have panic and psychological pressure for the electromagnetic environment problems caused by high-voltage transmission lines. This paper concentrates on electromagnetic environment control limits around 500kV EHV AC electric power transmission lines in China. The power frequency electric field and power frequency magnetic field of two buildings under the transmission lines are monitored. With the support of objective scientific data, reducing or even eliminating public excessive panic about the electromagnetic environment caused by 500kV EHV AC transmission system.
Study on the Influence of Household Consumption on Energy Consumption under the Threshold of Rising House Price
Authors: Yan Li , Wei Kang , Pei-ci Yan , Hui-qing Liu , Xiang-yu Zhang , Shi-xuan He , Xiang-min Kong , Liang-hong Zhang , Hui-wen Zheng , Jia-hong Wei 
Published: August 2020

Abstract
In order to understand the impact of residents’ consumption on energy consumption in a more comprehensive way, this paper divides the residents’ consumption into two dimensions: total consumption and consumption structure, and introduces the house price as the threshold variable, using the provincial data of 2007-2017, constructs the panel threshold model of residents’ consumption on energy consumption. The results show that: the total consumption and consumption structure of residents have a double threshold effect on energy consumption; the promotion of total consumption promotes energy consumption, while the upgrading of consumption structure restrains energy consumption; when the rise of house price is in the middle level, due to the “wealth effect” caused by the rise of house price, the rise of total consumption and consumption structure The upgrading of the structure has the strongest effect on energy consumption, but when the house price further rises beyond the maximum threshold, the “crowding effect” brought by the rising house price will significantly weaken the impact of total consumption and consumption upgrading on energy consumption.
An energy internet efficient regional optimal allocation method based on block data
Authors: Hou Lei , Li Jin , Zhang Yusen , Huang Furong 
Published: August 2020

Abstract
In the operation of energy internet, the problem of uneven regional energy distribution which caused by the different social, economic, geographical and environmental factors has existed for a long time, and has become the most complex and intractable problem to solve at the Multi-space energy allocation. To alleviate the problems of uneven regional energy distribution, combined with the rapid development of block data, in this paper, an energy internet efficient regional optimal allocation method based on block data is explicitly proposed. Especially, by means of considering the difference of social, economic, geographical and environmental factors in each region, a concept of dynamic spatial energy allocation adjustment is proposed in this paper. Energy utilization rates and a new objective functional is proposed to support regional energy allocation strategy which adjusting dynamically to optimize the energy utilization ratio when the regional energy allocation is found to be unreasonable. The traversal algorithm method is applied in the strategy to ensure the comprehensiveness and stability of adjustment scheme selection in practical application. A fractional steps computing solution that simultaneously emphasizes the insufficient computational capabilities of hardware and out of memory error is implemented to deal with the huge amount of block data caused by complex energy internet. As a result, a promising approach is introduced for the energy internet efficient regional optimal allocation adjustment.
Research on output frequency of linear phase-shifting transformer
Authors: Zhang Shuheng , Zhao Jinghong , Zhou Yangwei , Wu Mei 
Published: August 2020

Abstract
The article briefly introduced the basic structure of linear phase-shifting transformer and the working principle of inverter system. After the previous work of the research group, based on the maxwell simulation software, the high-frequency output of the linear phase-shifting transformer is subjected to finite element simulation analysis, and an improved design is proposed for the high-frequency output. Finally, the feasibility of simulation analysis is verified through experiments, which provides strongly support for subsequent prototype optimization.
Bibliometric Analysis of China’s Green Mining Development Based on CNKI Database
Authors: Mingyang Li , hong Cheng , Bin Wang , Kaiwen Zheng , Ping Li 
Published: August 2020

Abstract
Green development of mining requires the requirements of healthy and sustainable development, the development of green mining and the construction of green mines are important directions for the reform and development of the mineral resources management system. This article conducts data mining and exploration analysis of high-quality literature (core, CSSCI retrieval) on the theme of green mining included in CNKI from 1999 to 2019. the result shows that: according to the search criteria, we retrieved a total of 190 articles, since 2003, the number of documents on the topics of green mining has risen sharply, we found that the role of policy in promoting academic research is obvious. China University of Mining and Technology is the most published institution, studies from universities, institutions, and social groups have different research focuses on green mining. In the whole cycle of green mining construction, green exploitation and green mines construction play a vital role.
Energy Saving Design in Historical Settlements Planning of Northern Guangxi
Authors: Li Ji , Yao Bin 
Published: August 2020

Abstract
Based on the analysis of thermal environmental data of Jiangtou Village, a traditional settlement in northern Guangxi, this paper proposes that energy saving for planning is an important guide for building group design. In view of heat insulation and heat protection requirements in the summer, natural factors such as mountain, water body and terrain, as well as artificial factors such as roadway, yard and patio are analyzed respectively, which are important planning elements of energy saving. It summarizes the design methods of building group planning and energy saving, and provides ideas and theoretical basis for village reconstruction and architectural creation in northern Guangxi.
Research on Peak Load Shifting Based on Energy Storage and Air Conditioning Load in Power Grid
Authors: Xiao Pan , He Wangyi , Xin Houyi , Kun Tian , Jia Cui , Junyou Yang 
Published: August 2020

Abstract
In order to reduce the difference between peak load and off-peak load in summer and reduce the capacity of traditional energy storage system, an optimization strategy based on the coordinated control of battery energy storage system and air conditioning load was considered. Firstly, the control strategy of energy storage system based on threshold method considering electric storage capacity is proposed, and the dynamic changing process of air conditioning system setting temperature value is established to change the electric power of air conditioning system, that is, the virtual energy storage charging and discharging process of air conditioning system, the strategy of direct reduction and early charging of air-conditioning system are proposed. Secondly, the evaluation index of peak load cutting and valley filling is established, which emphasizes the local key of peak load and valley value. Finally, based on the theoretical analysis, taking a typical daily load forecasting curve of a commercial park as an example, the optimization strategy of coordinated control of battery energy storage system and air conditioning load is compared and analysed to verify its feasibility, it provides a basis for the application of battery energy storage system and air conditioning load in peak shaving and valley filling.
Summary of Motor Industrial Energy Conservation Policies in China
Authors: Liu Ren , Yang Peilan , Wang Gen 
Published: August 2020

Abstract
Starting from the 12th Five Year Plan, in order to promote industrial energy conservation and consumption reduction, industrial energy conservation policies are implemented in the industry, and different levels of industrial energy conservation responsibilities are assessed in different regions of the industry. As an effective tool for upgrading the industrial structure, energy conservation audit supports the continuous promotion of energy conservation work in accordance with relevant energy standards. In this paper, we survey all regulations, standards and policies and analysis them to get conclusion, industrial energy conservation policies in China is effectively to promote China energy conservation.
A method for evaluating the uncertainty of short-circuit current in power system with photovoltaic power generation
Authors: Wu Jiafang , Chen Gang , Xiao Yanhui , Hu Jiajia , Chen Guoqiang , Qian Weiyan , Zhou Niancheng 
Published: August 2020

Abstract
Short-circuit current of power system with photovoltaic power generation is related to the fault current provided by the photovoltaic power supply. In this paper, based on the analysis of low voltage ride-through uncertain region of photovoltaic power generation, the random model of low voltage off-grid is constructed. Further combining with the system fault information, based on the monte carlo simulation, a probabilistic assessment method of short-circuit current in power system is proposed, which takes into account uncertainty of photovoltaic low voltage ride-through. Finally, an example is given to verify the proposed method. The method in this paper comprehensively considers the random factors of power grid failure and photovoltaic power generation low voltage off-grid, and the short-circuit current result can accurately reflect actual short-circuit current level of the system.
Study on Benchmarking Evaluation System for Technological Innovation of Power Grid Enterprises
Authors: Chang Yan , Meng Weixuan 
Published: August 2020

Abstract
China attaches great importance to corporate scientific and technological innovation, and technological innovation has become a powerful driving force for continuous promotion of corporate scientific development. According to the new requirements of the 19th National Congress of the Communist Party of China on the reform and development of central enterprises and the high-quality economic development of the Fourth Plenary Session of the 19th Central Committee, the company’s scientific and technological innovation index evaluation was carried out. Based on the theoretical research, evaluation methods and enterprise management practices of world-class enterprises, this article establishes an effective mechanism to guide the technological innovation of power grid enterprises and provides a scientific decision-making basis for technological innovation of power grid enterprises.
Research on Optimization of Comprehensive Energy System Operation Scheduling Based on Multiple Energy Storage Coupling Mechanism
Authors: Shaojun Wu , Ming Chen , Zhen Wei , Jiabing Han , Jun Zhao 
Published: August 2020

Abstract
A comprehensive energy system based on multi-energy complementation is an important way to improve regional energy utilization efficiency and optimize resource allocation. Taking the minimization of the running cost of the integrated energy system as the objective function, a matrix model of the energy flow of the integrated energy equipment is established, and a method combining dynamic programming and improved particle swarm optimization is proposed. Under the same load and energy price setting, the horizontal comparison method was used to analyze the optimization of the integrated energy system under the conditions of no energy storage, two heat storage only, and three composite heat storage and cooling settings. The results showed that the operating costs of working condition three and working condition two are reduced by 14.65% and 5.92%, respectively compared with working condition one. The existence of energy storage devices has a significant impact on optimizing the overall operation scheduling of the system, while reducing the use of unnecessary energy supply equipment. At the same time of running costs, it can also achieve a more stable operation of the system.
Design of Comprehensive Energy System Simulation Platform Under the Background of the Park
Authors: Peng Yu , Shumin Sun , Yan Cheng , Dajun Wei , Guanglei Li , Shibai Wang 
Published: August 2020

Abstract
First, the overall architecture and data structure of the comprehensive energy system simulation tool in the context of the park are introduced. The core optimization method of the integrated energy system is proposed by revising the optimization toolbox in Matlab software. Secondly, the function simulation tool integrates the energy system, and elaborates the collection, analysis algorithm and application of the system function data from multiple display areas. Finally, establish a comprehensive energy system benefit evaluation, and put forward the prospect of comprehensive energy simulation research.
Field research of the impact of a hydropower station on the water temperature in the downstream river course
Authors: Huang Xiang , Shi Xiaoyan , Liu Sihua , Chen Bangfu 
Published: August 2020

Abstract
By online monitoring of the water temperature in the downstream river course of a power station, the author compared the temperature of water discharged from a hydropower station with the water temperature of the natural river course, and found that the temperature of water discharged from the power station was low in spring and summer, but high in autumn and winter; the maximum differences of temperature occur in April and December; the temperature of discharged water was 1.9 °C higher on average than that in the natural river course in April and was 4.9 °C lower on average than in the natural river course in December. Water samples were collected from similar water levels to compare the temperature of water discharged from the hydropower station and in the water inlet, and it was found that the temperature difference between the hydropower station and the inlet area was positively correlated to the water level of sampling. This study is expected to provide a technical basis for reservoir water temperature control and reservoir ecological regulation.
Analysis of Energy Utilization Efficiency of Integrated Energy System
Authors: Ye Jianmin , Wang Qingwei , Wang Yongli , Huang Feifei , Ma Yang , Ma Yuze , Dong Huanran , Song Fuhao 
Published: August 2020

Abstract
This paper considers the multi-energy flow characteristics of the integrated energy system and the impact of renewable energy access, and proposes an energy utilization index that is suitable for the energy efficiency assessment of the multi-energy collaborative integrated energy system. The index can comprehensively reflect the consumption rate of renewable energy and the utilization level of non-renewable energy in the park, and reflect the core characteristics of low-carbon and high-efficiency of the integrated energy system. The analysis compares the difference between the proposed indicator and other energy efficiency indicators. The result of the calculation example shows that, compared with the direct promotion of the traditional primary energy utilization rate, this indicator can more accurately reflect the advantages of multi-energy combined supply and energy cascade utilization in the park.
Integrated Energy Load Priority Scheduling Model Based on Customer Satisfaction
Authors: Chen Ming , Wei Zhen , An Shuhuai , Li Yukai , Xu Zhengqing 
Published: August 2020

Abstract
The integrated energy system is of great significance to improve the efficiency of social energy utilization, promote the large-scale consumption of renewable energy and the cascade utilization of energy. In view of the uncertainty of cooling, heating and electric load demand of users, this paper proposes a load priority supply model for integrated energy service providers, which considers the user satisfaction and the penalty function of energy supply interruption, and is used to deal with the scheduling optimization of various uncertain energy demand and translatable load. The optimal scheduling mathematical model of community integrated energy system is established. The various optimization objectives and the constraints of different energy demand are considered, the heuristic algorithm is used to solve the optimal scheduling, and the economic of operation mode is analyzed. The model can effectively reflect the impact of energy demand, user satisfaction and system cost on the priority of supply load, and provide the optimal decision to weigh the system cost and user satisfaction. The simulation results show the feasibility and effectiveness of the proposed model.