bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Acceptance and Testing Scheme of Intelligent Distributed Feeder Automation System
Authors: Wang Yifan , Huang Yibiao , Wu Linwei , Wu Yiping , Wang Yu 
Published: August 2020

Abstract
The intelligent distributed FA uses the peer-to-peer communication network between distribution terminals to realize the information exchange between terminals, and uses the line fault state quantity differential and bus fault state quantity differential to realize the fault monitoring, fault isolation and non-fault area restoration of power supply. In the distribution automation system, the proportion of terminals with intelligent distributed FA function is increasing. How to test and accept such terminals has become a research hotspot. This paper introduces the basic test contents of testing intelligent distributed FA through simulation system, and expounds the ideas and methods of test and acceptance in detail. Some suggestions are given for the test and acceptance of intelligent distributed FA terminal, which can be used for reference to improve the test standard and batch test.
A CNN Based Approach with Identity Mapping Module for Mechanical Fault Diagnosis of High Voltage Circuit Breaker
Authors: Zhou Ke , Lin Xiangyu , Wang Xiaoming , Wei Zhou , Wenwei Li 
Published: August 2020

Abstract
In order to improve the accuracy and generalization of mechanical fault diagnosis of high voltage circuit breaker, a CNN with identity mapping module based approach is proposed. Six acceleration sensors are installed at specific positions of the circuit breaker to collect comprehensive vibration signals. A mechanical fault diagnosis model is established based on convolution neural network with identity mapping module. After preprocessing such as down sampling and data splicing, the input signals are analyzed to extract feature information and identify mechanical fault. The experimental results show that the proposed method has better performance in mechanical fault detection compared with traditional CNN method.
Design of a millimeter wave helical reflectarray antenna with high power handling capacity
Authors: Kong G X , Li X Q , Zhang J Q , Wang Q F 
Published: August 2020

Abstract
A millimeter-wave high-power handling capacity circularly polarized shared-aperture transceiver reflectarray antenna is proposed and designed. The short helical reflection antenna is proposed to be the reflectarray element. The 360° phase shift can be achieved by rotating the helical element. A flat-top shaped beam shared-aperture transceiver array antenna feed is designed to improve the efficiency and power capacity of the reflectarray antenna. The reflectarray with the aperture size of 49.5 × 49.5 mm2 is designed and simulated. The full-wave simulation results show that at center frequency of 30 GHz, the gain of the antenna is 22.5 dB with the efficiency of 57.8%, and the axis ratio is 0.8 dB. In the range of 26 to 34 GHz, the reflection coefficient is lower than -17.8 dB, with the relative bandwidth of 26.7%. The 1-dB gain bandwidth is 19.4%. Under air condition, the power capacity of the element antenna is 898 W, and the power capacity of the reflectarray antenna is 19.2 kW.
Application of Machine Learning in Cigarette Quality Evaluation Method
Authors: Lin Jingju , Guo Haolin 
Published: August 2020

Abstract
In the evaluation of cigarette quality, it usually depends on the sense organs of evaluation experts. But due to the influence of many subjective and objective factors, the accuracy of evaluation results is often difficult to guarantee. Therefore, this paper proposes a method of cigarette quality evaluation based on SVM and BP neural network. The experimental results show that the method can establish a nonlinear mapping relationship between the measured values of cigarette chemical components and the evaluation values of expert quality, and reflect the preference information and reasoning mechanism of evaluation experts. So the model is an objective and reliable method for evaluating the internal quality of tobacco after knowing the chemical composition test data of tobacco.
Research on the Dynamic Network Defense Technology Based on the DHCP Protocol
Authors: sun Tao , wang Hai , gao Yang , luo Bingbing 
Published: August 2020

Abstract
The article proposes a network dynamic defense model based on the DHCP protocol for enterprise internal network security protection needs, which not only implements network terminal access verification, but also it realizes the periodic dynamic adjustment of the IP address, and increases the difficulty of network detection and attack. So, the security of the enterprise intranet is improved.
Research on Robot Binocular Ranging Based on SIFT Feature Extraction Algorithm
Authors: Haifeng Dong , Jun Yao 
Published: August 2020

Abstract
Binocular stereo vision belongs to the reconstruction technology of images. It has the characteristics of non-contact measurement and easy implementation. It has broad application prospects in many fields. The study of its basic theory also has great theoretical and practical significance. As part of stereo vision, robot binocular distance measurement has an irreplaceable role. In this paper, a complete binocular ranging system is divided into the following five steps: principle analysis, camera calibration, image preprocessing, SIFT feature point extraction, distance measurement, a simple model in robot binocular ranging is realized, which is a robot Route planning and obstacle avoidance provide data support, which has the advantages of easy operation and simple calculation.
RETRACTED: Research on 3D Animation Design Based on VR Technology
Authors: Haiyan Chen 
Published: August 2020

Abstract
Judging from the initial time of animation production, China started relatively late in this area. Driven by the advancement of computer technology and social needs, 3D animation and virtual reality technology have made significant progress. Domestically, it has achieved good results in the production of three-dimensional animation, and has been widely used in various online games and many TV works. Virtual reality technology has diversified development forms. Compared with traditional three-dimensional animation technology, it has obvious interactive and real-time characteristics, and can bring the audience a good perception experience in many aspects. The application of virtual reality technology in the creation and design of 3D animation can break throughly improve the interactivity of 3D animation, which is beneficial to promote the animation industry to a higher level. Under the current circumstances, the integration of technology and media is in a stage of rapid development. One of the important directions of future animation art creation is virtual reality immersive content, which is increasingly noticed by the society. This article introduces the basic characteristics of virtual reality technology and three-dimensional animation design, studies three-dimensional animation design based on VR technology, and analyzes the application of virtual reality technology in three-dimensional animation design; We discuss how to give full play to the advantages of virtual reality animation interaction within the scope of existing technologies, analyze the narrative laws, and provide references for the use of virtual reality technology for three-dimensional animation creation.
Research and Application of Transmission Line Environmental Monitoring Based on Optical Fiber Sensing Technology
Authors: Lishuai He , Xiaofeng Wang , Yang Song , Yu Ma , Bin Lu , Yan Li , Ji Xue , Lanxuan Mei , Cunde Xu , Chong Liu , Bin Li , Lei Gao , Yunkun Huang 
Published: August 2020

Abstract
In this paper, the optical fiber sensing technology is taken as the research object. Firstly, according to the demand of the sensing layer of the power Internet of things, a transmission line environment online monitoring system is proposed based on the multi risk monitoring of external breakage, fire, icing, galloping and so on of the cable (overhead line), the composition and deployment of the monitoring system are introduced. Secondly, based on the research of temperature field and stress field distribution of optical fiber, combined with big data and artificial intelligence, the important environmental parameters of the line can be monitored. Finally, taking different monitoring scenarios as examples, this paper expounds the different monitoring functions of the environmental monitoring system of the Internet of things for transmission lines, which provides useful reference for environmental monitoring of transmission lines.
Compressive sensing compensation algorithm about nonlinear distortion of clipping for underwater acoustic OFDM systems
Authors: Guo Tieliang , Li Zhijun , Zhang Wenxiang 
Published: August 2020

Abstract
Orthogonal frequency division multiplexing (OFDM) is one of the most attractive multicarrier modulation schemes over underwater acoustic (UWA) communication due to its robustness against multipath channels. However, the multicarrier modulation technique also leads to a higher peak to average power ratio (PAPR). The nonlinear distortion is produced when the traditional clipping method was used to restrain PAPR. In this paper, we proposed a compensation algorithm based on compressive sensing (CS) about the nonlinear distortion. Combined with orthogonal matching pursuit (OMP) algorithm, pilot and null subcarriers are used to compensate the nonlinear distortion in the receiver. Theoretical analysis and simulation results show that the new algorithm can effectively reduce computational complexity and restrain the nonlinear distortion for UWA communication systems.
A security optical tree establishment protocol based on distributed path computation element in multi-domain optical networks
Authors: Zhou Yang , Wu Qiwu , Jiang Lingzhi 
Published: August 2020

Abstract
How to build a secure optical tree through signalling mechanism in multi domain optical network is an important problem. To solve the problem, a security optical tree establishment protocol based on distributed Path Computation Element (PCE) in multi-domain optical networks was proposed. The protocol used a distributed PCE architecture. By expanding the optical network control plane and integrating multiple security mechanisms, the new signaling process of establishing a multicast optical tree was designed. The analysis and experimental results showed that, the protocol performed better performance in a malicious environment compared with the typical layered PCE-based protocol.
A method to Evaluate the Rationality of Check-in Island Usage during Flight Departure Peak Period
Authors: Gu Yunyan , Yang Jianhua , Xie Guo 
Published: August 2020

Abstract
With the rapid development of civil aviation in China, air lines and passenger throughput are increasing. Evaluating the rationality of check-in islands usage can effectively avoid overload of baggage system in some check-in islands and low utilization rate of other check-in islands during flight departure peak period, which is conducive to improving the utilization rate of resources and the efficiency of passenger ticket handling in terminal. According to Statistics of daily flight data of Shenzhen Airport in 2017, the average number of passengers in each check-in island is calculated based on the factors such as the number of flights, type of aircraft and passenger occupancy rate.According to the time rule of passengers arriving at the terminal, the arrival distribution of passengers in different time periods is obtained by weight which is the probability of passenger arrival in different periods.The number of passengers in the same period is divided by unit time, and the distribution of the number of passengers arriving at different times is obtained.The number of passengers arriving at the same unit time for each check-in island is accumulated.According to the hourly theoretical design capacity of check-in island baggage system, the rationality of single check-in island is evaluated.It provides scientific and intuitive decision-making basis for optimizing airport check-in resources during flight peak period.
RETRACTED: Research on Application of Artificial Intelligence in Computer Network Technology under the Background of Big Data
Authors: Wang Yi 
Published: August 2020

Abstract
Computer network technology has become a widely used modern technology in the development of modern society, and it has a very good role in promoting the development of many industries and fields in the society. Therefore, the better application and development of computer network technology gradually Very necessary. In the context of the current big data era, more and more modern technological methods can be integrated in the development of computer network technology, and artificial intelligence is a relatively common one, playing an irreplaceable role in improving the level of computer network technology. Function and value, therefore, the application of artificial intelligence needs to be reasonably grasped.
Research on Multi-objective Storage Planning without Fixed Storage Space in Multi-warehouse
Authors: Zhang Xiaokang , Geng Kaizhen , Zhang Lei , Yang Jianjun 
Published: August 2020

Abstract
This paper takes multi-objective storage planning with multiple warehouses without fixed positions as the research object, and proposes a solution to this type of problem. The mathematical model of research problem environment is established, and further through the abstract analysis of system environment and storage and transportation rules, the research is carried out from the maximum storage and transportation capacity of storage and transportation system, the balance of the occupancy rate of each warehouse, etc., so as to improve the transportation efficiency of goods in and out of the port. The actual multiple requirements are abstracted into specific mathematical expressions that can be analyzed and calculated according to environmental parameters and rule knowledge bases, and a multi-objective function for system optimization is obtained, which lays a foundation for the subsequent optimization and solution using intelligent optimization algorithms.
Research on Classification Algorithm for Blackberry Lily Data
Authors: Yu Wenjun , Huang Yu 
Published: August 2020

Abstract
Blackberry Lily is the dried rhizome of the Iris plant, which has the functions of clearing heat and detoxifying, eliminating phlegm and pharyngeal. The actual structure of its various categories is very different, and this difference is widely used by botanists to build the interspecific relationship of various varieties of Blackberry Lily. Therefore, the classification of Blackberry Lily is of great significance to the research of its evolution. In this paper, we propose several algorithms based on Naive Bayes to classify Blackberry Lily data, and some algorithms are improved.
Consistency-based weight form and its application in multi-attribute group decision making
Authors: Dai Wen-zhan , Nan Hao 
Published: August 2020

Abstract
Due to the complexity of the multi-attribute group decision-making problem, how to determine the weight of different experts on different attributes is a difficult point in current multi-attribute decision-making problem. The authors believe that weights of experts should be reflected in the decision-making process, rather than subjectively determined before the decision. If an expert’s decision-making results can better express the collective will, this expert should be given greater weight. Based on this idea, this paper proposes a weight determination method based on the similarity of individual and collective wishes of experts. First, the improved traditional projection method is proposed. The weight is determined by the degree of agreement between the experts’ individual evaluation vector and the ideal evaluation vector, so that the experts’ weights are more consistent with their performance in the decision-making process. Secondly, combining the new weight form with the ideal point method, a multi-attribute group decision-making method based on the agreement degree is proposed. Finally, the validity of the proposed multi-attribute group decision-making method based on the new weight form is verified by a case simulation.
High Pressure optical nanothermometer based on Er3+ photoluminescence
Authors: Gutiérrez-Cano V , Valiente R , González J A , Rodríguez F 
Published: August 2020

Abstract
The optical properties of a sparsely investigated material, LaGdO3 doped with Er3+, are explored regarding its suitability as nanothermometer. Besides its excellent capabilities for dielectric applications, when doping with Er3+, this material provides a highly efficient up-conversion photoluminescence (PL) for high temperature thermometry at high pressure due to its structural stability. LaGdO3 belongs to the perovskite-type ABO3 compounds with a B-type monoclinic C2/m space group (a = 14.43 Å; b = 3.69 Å; c = 9.00 Å; and β = 100.70º) at ambient conditions. It undergoes a structural phase transition to a hexagonal

P

3
¯

m
1

phase at 3 GPa yielding a notable PL enhancement, thus enabling it as a potential high-pressure high-temperature nanothermometer.
CaCu3Ti4O12: Pressure dependence of electronic and vibrational structures
Authors: Jara E. , Aguado F. , González J. , Valiente R. , Rodríguez F. 
Published: August 2020

Abstract
The effects of pressure in electronic and vibrational properties of the double perovskite CaCu3Ti4O12 have been investigated in the 0-25 GPa range by optical absorption and Raman spectroscopy. Besides a full structural characterization, we aim at unveiling whether the ambient

I
m

3
¯

crystal structure is stable under high pressure conditions and how its giant dielectric permitivity and electronic gap varies with pressure. Results show that there is evidence of neither structural phase transition nor metallization in CaCu3Ti4O12 in the explored pressure range. We have observed the eight Raman active modes associated with its

I
m

3
¯

crystal phase and obtained their corresponding frequency and pressure shift. Moreover, the direct electronic band gap (2.20 eV), which is mainly associated with the oxygen-to-copper charge transfer states, increases slightly with pressure at a rate of 13 meV GPa−1 from 0 to 10 GPa. Above this pressure is almost constant (Eg
= 2.3 eV). The results highlight the high stability of the compound in its

I
m

3
¯

phase against compression.
The dynamics of entropies at the onset of interactions
Authors: Kendall Emily , Kempf Achim 
Published: August 2020

Abstract
At the onset of an interaction between two initially independent systems, each system tends to experience an increase in its n-Rényi entropies, such as its von Neumann entropy (n = 1) and its mixedness (n = 2). We here ask which properties of a system determine how quickly its Rényi entropies increase and, therefore, how sensitive the system is to becoming entangled. We find that the rate at which the n-Rényi entropy increases in an interaction is determined by a quantity which we term the n-fragility of the system. The 2-fragility is closely related to the notion of 2-norm coherence, in that it too quantifies the extent to which a density matrix is ‘off-diagonal’ with respect to the eigenbasis of a reference operator. Nevertheless, the 2-fragility is not a coherence monotone in the resource theoretic sense since it depends also on the eigenvalues of the reference operator. It is this additional sensitivity to the eigenvalues of the reference operator, here the interaction Hamiltonian, which enables the 2-fragility to quantify the rate of entropy production in interactions. We give an example using the light–matter interaction and we anticipate applications to the study of the rates at which two systems exchange classical and quantum information when starting to interact.
Ecotourism implementation for tropical forest resource conservation in Indonesia: Legal aspects
Authors: Nugroho A W 
Published: August 2020

Abstract
In developing countries, including Indonesia, ecotourism can potentially be a strategy to conserve forests as well as generating local income and thus alleviating poverty. This concept is applicable to accommodate tourism development in this country, preventing negative impacts of mass tourism. Due to its potential resources, the government had long been established sets of regulations to accommodate the implementation of ecotourism in forest areas. However, it is important to measure whether these regulations are consistent with ecotourism principles to ensure sustainability aspects. This study aims to evaluate several regulations in Indonesia related to ecotourism implementation in terms of their consistency in applying ecotourism principles. The research method was a desk study and content analysis. Results showed that the Ministry of Environment and Forestry had enacted regulations to encourage the implementation of the ecotourism concept in managing tourist destinations located in forest areas: production, protected and conservation forests. However, several ecotourism principles were not regulated, such as environmental and local education culture to visitors and local people, conservation planning in the tourist destination, and control mechanisms. In conclusion, it is essential to elaborate ecotourism principles in the regulations to ensure the sustainability aspects of ecotourism implementation in state forest areas.
Litter productivity and leaf litter nutrient return of three native tree species in drained tropical peatland, Riau-Indonesia
Authors: Junaedi A , Hardiwinoto S , Supriyo H , Mindawati N 
Published: August 2020

Abstract
Information on litter productivity and its nutrient return of tree species are essential for consideration in selecting tree species. The study was carried out to quantify the litter productivity and macronutrient (N, P and K) deposition through leaf litter to forest floor under 2-3 years old three native tree species of tropical peatland forest. Those three species are mahang (Macaranga pruinosa), geronggang (Cratoxylum arborescens) and skubung (Macaranga gigantea). These three native species coincide with one exotic species krassikarpa (Acacia crassicarpa) were planted on the drained tropical peatland in Riau using a randomized completely block design. Litter trap was set up on this experimental plot for litter productivity measurement. Nutrient content of leaf litter was analyzed to quantify the nutrient return. Results showed that the maximum litter productivity and leaf litter nutrient return was found in geronggang. Litter productivity, N return, P return, and K return of this native tree species were 7.04 ton ha−1yr−1, 60.69 kg ha−1yr−1, 10.82 kg ha−1yr−1 and 57.68 kg ha−1yr−1, respectively. These results suggested that forest and land productivity could be better maintained by Cratoxylum arborescens plantation than other native tree species. In terms of litter productivity and leaf litter nutrient return, this species is, therefore, more recommended than Macaranga pruinosa and M. gigantea.