bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improved Impossible Polytopic Attacks on Round-reduced DES
Authors: Wang Jing , Wu Qianqiong , Fu Chaohui , Zhou Guomiao , Duan Ming 
Published: April 2020

Abstract
In Eurocrypt 2016, Tyge Tiessen introduced the d-difference which considering the differences between multiple plaintexts, and proposed the impossible polytopic attack on block cipher which effectively reducing the data complexity. In this paper, we improve the impossible polytopic attacks of round-reduced DES by some ideas like truncated differentials. Given the input 3-difference of each S-box in the third round, the number of the output 3-difference is actually smaller than the theoretical upper bound, which helps us reduce the memory complexity of the attack on 5-round DES from 212 bytes to 26.9 bytes and increase the success rate of the attack. Using the idea of truncated differentials, the time complexity of the attack on 6-round DES is reduced from 232.2 encryptions to 225.8 encryptions by selecting the output 3-differences of 6 S-boxes for key recovery. We also improve the attack on 7-round DES by using more plaintexts based on our improved attack on 6-round DES.
The design of an artificial intelligence service assistant
Authors: Li Jinyong , Deng Jianzhi , Zhi Peipei 
Published: April 2020

Abstract
In order to meet people’s requirement for smart-home and life assistant, this paper presents a design of artificial intelligence (AI) service assistant which adopts NAO robot and raspberry Pi. The design incorporates Python language with the technology of web crawler that realized the function of human-computer interaction of voice such as the weather and ticket inquiry, the infrared control of air-condition. The design can achieve expected results by verifying several functions experimentally in a laboratory, which can provide a powerful reference for the robot-assistant of smart-home, daily-service and related experimental projects.
Optimization algorithm of fireworks explosion based on elevator
Authors: Zhang Ji , Kai Yang , Kai Yang 
Published: April 2020

Abstract
The fireworks algorithm proposed in recent years. Compared with other traditional optimization algorithms, the fireworks algorithm has a strong ability to solve optimization problem. This paper improves the fireworks algorithm and proposes an elitism based fireworks explosion optimization algorithm (E-FWA). The E-FWA algorithm improves the explosion radius of fireworks algorithm and adds elite selection strategy to fireworks algorithm. A large number of experiments show that the elitism based fireworks explosion optimization algorithm can reduce the search time, improve the convergence of the algorithm, and avoid falling into the local optimal value.
The Status and Hotspots of Smart Learning: Base on the Bibliometric Analysis and Knowledge Mapping
Authors: Nanning Yu , Donghua Wang , Dandan Li , Qingqing Zhang , Xiaoyan Wang , Li Wang , HaiBin Wang 
Published: April 2020

Abstract
To reveal the status and hotspots on the area of smart learning, 303 related articles form the Web of Science (WOS) were analyzed by the visualization software CiteSpace. The results showed that: (1) the area of smart learning stared in 2002 and shows an upward trend year by year form 2010, and the number of articles reached the historical peak in 2016. Kinshuk, China and Lecture Notes in Educational Technology topped the lists of contributing authors, country and publication respectively. (2) “smart learning”, “smart learning ecosystem”, “learning analytics”, “embedded intelligence”, “mobile devices” and “smart-learning” are the top six largest clusters in the domain of smart learning.
Improved PBFT Algorithm Based on Reputation and Voting Mechanism
Authors: Chen Junhua , Zhang Xia , Shangguan Pengfei 
Published: April 2020

Abstract
Aiming at the problems of large communication cost of the consistency process, low efficiency of view switching and the random selection of the master node in the Practical Byzantine Fault Tolerance (PBFT), an Improved Practical Byzantine Fault Tolerance (IPBFT) is proposed. Firstly, This paper proposes a credit model and voting mechanism, that the master node is generated by voting with nodes reputation values, which ensures the reliability of the master node and reduces the possibility that the abnormal node acts as master node. Secondly, the consistency process is optimized to decrease the frequency and time of communication between nodes. Finally, the view switching protocol is optimized, that classification process for abnormal node and malicious node further reduces communication time. The experimental results show that compared with PBFT, IPBFT increases the average throughput, reduces the delay, and improves the operating efficiency and security of the system.
Application of edge computing in fault diagnosis of 10kV ring net switch cabinet
Authors: Zhang Zhengwen , Tian Ersheng , He Enping , Ma Tao , Cheng Yuhang 
Published: April 2020

Abstract
To ensure the safe and reliable operation of the distribution network system, this paper analyzes the fault diagnosis of 10kV ring net switch cabinet, introduces the concept and advantages of edge computing, and then proposes a new fault diagnosis system of 10kV ring net switch cabinet based on edge computing. This paper also introduces the overall design of the system and the design of each part, and finally makes a contrastive analysis with the traditional fault diagnosis methods of the ring net switch cabinet.
Range and Standard of Yang Dongfang Spatial Water Temperature Variation Angle I. Spatial Water Temperature Model Calculation
Authors: Yang Dongfang , Ren Haoyuan , Yang Dong , Zhang Longlei , Li Haixia 
Published: April 2020

Abstract
According to the investigation materials in the water field of Jiaozhou Bay in May, August and October 1979, this paper studies the rise, decline and changing process of water temperature in the surface and bottom waters. The findings show that in the spatial changing process from May to August, then to October, the temperature in the surface water exhibits valley to peak line, then to the growth line and exhibits drop line to growth line in the bottom water from the bay inside to the waters of bay and to the outside waters. Based on the definition and model of Yang Dongfang spatial water temperature variation angle, the computerization result indicates that from May to August, the range of Yang Dongfang spatial water temperature variation angle from the water inside of the bay to the water around the bay mouth in the surface water is -0.57-0.57°, and it is 0.00--13.49°in the water from bay mouth to the outside, which are 0.00-6.27°and -4.00-0.00°in the bottom water, respectively.
Rotor target recognition method based on radar echo time-frequency map feature
Authors: Zhu Mingshuo , Wei Xu , Xia Saiqiang , Yang Jun 
Published: April 2020

Abstract
In order to realize the identification of different rotor targets, five typical rotor targets are selected as the research object. five typical single-rotor or twin-rotor targets, AH-64 Apache helicopter, K-50 armed helicopter, K-MAX hoist helicopter, V-22 tilt-rotor aircraft, and WZ-9 armed helicopter, were selected as research objects. the echo signals are obtained according to the rotor target radar echo model in free space, and then the time-frequency image is obtained by short-time fourier transform. According to the difference of the time-frequency images of five types of rotorcraft targets, two typical features that characterize the map differences, namely the histogram of oriented gradient feature and the gray level co-occurrence matrix feature, are extracted. Finally, the support vector machine (SVM) is used to realize the recognition of five types of rotor targets, and recognition accuracy reached 93.3%.
Research on Plot Authenticity Identification Method Based on PSO-MLP
Authors: Peng Wei , Lin Qiang 
Published: April 2020

Abstract
Aiming at the influence of the clutter plots produced by the complex and strong clutters such as mountains, sea and cities on radar tracking performance, a method based on PSO-MLP is proposed to identify the authenticity radar plots. The method further distinguishes the target plots from the clutter plots, filters the residual clutter plots, and effectively improves the radar processing capacity and tracking performance. Based on the study of some differences between clutter and target plots, this method extracts multi-dimensional characteristic parameters, including doppler velocity, original amplitude and so on. Firstly, the parameters of MLP algorithm are optimized by PSO algorithm, and then the authenticity identification of clutter plots is carried out by MLP algorithm after parameter optimization, and then the remaining clutter plots are filtered out. Finally, the overall accuracy rate of plot identification reaches 85.75%. The experimental results show that the proposed algorithm has a high and stable accuracy of plot identification.
High Accuracy Driver Identification and Status Monitoring System Research
Authors: Yuan Xiaohan 
Published: April 2020

Abstract
In this paper a driver’s identity authentication and condition monitoring system will be proposed, which mainly includes two parts: identity authentication and status monitoring. The driver’s facial features are extracted by the convolutional neural network, and then the feature dimensions are compressed to reduce calculation. All the vectors composed of these features will be matched with the face database in the local library, and only matched person is able to start the car. After authentication a camera will collect images of the face as well as its surroundings in real time. Later features are extracted, the vectors composed of these features are used to iteratively update the parameters of Bayesian classifier, thereby following the face position in real time, and according to the track of face motion determines whether the driving state is safe.
Road identification system based on CNN
Authors: Yang Xuebin , Yu Hongzhi , Wang Di , Wang Ding 
Published: April 2020

Abstract
In recent years, convolutional neural network (CNN) has been widely used in image recognition, but there is still a big gap in automatic driving and road recognition. Here we have designed a system that maps raw pixels directly from a single front-facing camera to a steering command. The system mainly uses the camera to recognize the auxiliary lines on the road to realize automatic driving, and the accuracy rate has reached 98%. Unfortunately, such data can only be used in the laboratory, and the recognition of complex road conditions needs further development of machine learning.
Learning To Re-Rank For Multistakeholder Recommendations
Authors: Dandan Wang , Yan Chen , Kun Lang , Lin Zhang 
Published: April 2020

Abstract
Recommender Systems are personalized applications aiming to assist decision making by a list of tailored recommendations. Traditional recommender systems only focus on addressing the objective of the end users whose decisions ultimately determine the deal of the recommendation systems. However, the customer of the recommendations is not the only party whose needs should be represented. The needs of multiple stakeholders should be taken into account. In this paper, we are considering re-rank functions that are designed to balance end-user and online retailer needs. A variety of methodological approaches of different complexities are explored to incorporate profit information into recommenders and to balance preference and profitability. Taking the above factors into consideration, we tackle the problem balancing two sides by proposing a novel algorithm-Preference with Revenue Recommendation (PRR). Extensive experiments conducted on real world dataset indicate our method can be done with a marginal or no loss in ranking accuracy.
A Parallel Computer Numerical Simulation Method Based on Coincident Coefficients
Authors: Cui Wenhui , Li Yonghua , Sun Zhenyu 
Published: April 2020

Abstract
Analyze the coefficients relationship of 3rd order Runge-Kutta method and 4th order Runge-Kutta method, a parallel 4th order Runge-Kutta method based on consistent coefficient is proposed, the new parallel method can simultaneously satisfy the coefficients relationship both the 3rd order Runge-Kutta method and 4th order Runge-Kutta method with absolute stability region, it can be further parallel to lower order Runge-Kutta method. The method can be implemented in the multi-process MPI framework based on clusters. The method is applied to the numerical integral simulation of spacecraft orbit prediction, and the results of STK software are used asreference. The experimental results show that the accuracy of the parallel method is consistent with the serial method, and the computation speed is significantly higher than the serial method.
RETRACTED: Personal Information Security Crisis in the Era of Big Data
Authors: Keshu Li , Meixia Shi 
Published: April 2020

Abstract
The arrival of the big data era has facilitated all aspects of our lives, meanwhile the rapid development of big data technology has provided channels for the illegal collection, dissemination and leakage of personal information. The personal information security crisis has arrived. However, the big data protection technology in China is not complete, definition of personal information in domestic legislation is not clear, and there is no systematic and perfect legal system in protecting personal information. The author will study the protection of personal information in the big data era from the legislative level, as well as analyze the causes of the personal information security crisis.
Security control heterogeneous big data cloud storage system based on adaptive cache
Authors: Zhu Jianbao , Fu Jing , Sun Yuwei , Shi Ye , Chen Yu , Deng Weichao 
Published: April 2020

Abstract
In order to improve enterprise information security and the performance of storage system in data processing process, the application of adaptive memory cache mechanism in remote sensing data storage is studied. Firstly, alluxio is used to build a unified virtual file system, and the caching mechanism based on spatial relationship and historical data access inference is studied. Secondly, Presto based on memory computation is introduced as the storage component of remote sensing data meta-data, providing real-time read-write support for massive remote sensing data meta-data and advanced semantic information. Through experiments, the process of adaptive memory buffer remote sensing data storage system takes less time than the traditional storage method.
Comparison and study on the asymmetric uranyl—salophen to the single carbonyl molecules
Authors: Lan Wen-Bo , Wang Xiao-Feng , He Li-Ping , Li Qian-Ru , Meng Yan-Bin , Shi Ji-Cong , He Jun-Shan 
Published: April 2020

Abstract
Theoretical study of the asymmetric uranyl−salophen (AUS) on the unsaturated aldehyde or ketone is a focus of present research. This study underlines the complexes of asymmetric uranyl−salophen (as modified by unilateral benzene) to single carbonyl molecules, including formaldehyde, acetone, cyclopentanone, and cyclohexanone, using the density functional theory of quantum chemistry. Our results suggest that the C=O double bond of the single carbonyl molecules is weakened by the asymmetric uranyl−salophen. Both the negative charge of oxygen atoms and the positive charge of carbon atoms from the C=O bond of the single carbonyl have increased, and the binding energies and stability between asymmetric uranyl−salophen and acetone, cyclopentanone, or cyclohexanone were higher than that of formaldehyde. These new findings could be used as an important reference for the study of other complexes that the asymmetric uranyl−salophen to the complex carbonyl molecules.
The Visualization of Post Practice Management Based on Big Data Analysis
Authors: Zhang Wei , Liu Jialiang , He Liwen 
Published: April 2020

Abstract
Post practice is an important teaching form of vocational education, however, there is a lack of effective management methods in attendance and process monitoring of post practice. Starting from the management difficulties, this paper uses the mobile app management software to collect the data of the students’ post practice process, generates the corresponding visualization chart based on the big data analysis technology, carries out targeted and normalized management of each link of the post practice process, and then forms a set of fine management methods for post practice.
The scheme of personal privacy protection based on data separation in Mobile identity authentication
Authors: Zheng Fang , Li Pingzhen , Wei Jianqin 
Published: April 2020

Abstract
To avoid privacy leaked in mobile identity authentication by telephone number, this paper proposes a scheme of data separation that separates telephone number from server of service provider and stores it on trusted third-party server. In the process, we put forward some ideas to solve the problems brought by this scheme, which includes a table introduced to associate real identity and network one, a way of access authorization. Finally, we analyze the performance of the scheme and discuss the time efficiency by experiment.
Campus Parking Planning Based on Multisource Data Analysis--Taking Mafangshan Campus of Wuhan University of Technology as an Example
Authors: Huang Zhaoqi , Xu Xiaoyue , Luo Qingyue , Fang Danhui 
Published: April 2020

Abstract
In order to solve the problems of unbalanced supply and demand of campus parking resources, chaotic parking conditions, and potential safety hazards in campus traffic, a method of campus parking system planning based on big data is proposed. Taking the Mafangshan Campus of Wuhan University of Technology as an example, from the two aspects of time dimension and spatial dimension, the paper analyzes the trend of campus parking number, vehicle’s parking time, parking density and parking space utilization rate in each area, and discards the distribution of stranded vehicles according to the vehicle collection data. Finally, according to the analysis of multi-source big data, the current situation of campus parking system is obtained, and the corresponding planning results of campus parking are obtained. Through field research and big data analysis, we can intuitively understand the distribution and utilization of the overall parking resources of the campus, and the parking planning results based on this are more practical and scientific.
Analysis of Annual Return Rate Data of Enterprises Based on R Language
Authors: Lin Qi 
Published: April 2020

Abstract
As a simple and practical statistical tool, R language has become more and more widely used in the financial industry. This paper collects the monthly prices of 10 asset companies and uses R language as a tool for data analysis. The 10 asset companies are analyzed for the annual return rate and other indicators. This paper also draws on the MVP and t-copula investment strategies of securities investment to simulate the investment of these 10 asset companies.
A Conformal antenna with Proper Shape and Good Electrical Properties
Authors: Zhou Chang , Jin Wanwan , Xia Jing , Wang Li , Liu Gang , Xu Rongyu 
Published: April 2020

Abstract
A conformal antenna based on Teflon with proper shape to get more space is presented. It is accomplished by using three-dimensional simulation design software HFSS to achieve the best method. A special kind of Teflon has been chosen to meet the requirement for light weight and ease of installation. A series of antennas is designed and optimized and the best result shows that the conformal antenna could achieve 80% relative impedance bandwidth and peak gain>3dBi at 4GHz. The far-field patterns of antenna are also analyzed and have an acceptable performance. All the results show that this kind of antenna can work well for engineering applications with high cost.
Research on Performance of Different Hall-Effect Switch on Smart Meter
Authors: Dong Xianguang , Dai Yanjie , Zhang Zhi , Chen Zhiru , Wang Qing , Wang Pingxin , Yu Chao , Zheng Xue , Wang Tingting , Xu Ziqian 
Published: April 2020

Abstract
With the deepening application of smart meter and improvement of electricity information acquisition system, more and more problem recorded by smart meter being discovered in scene, such as constant magnetic field events, communication failure event. Some smart meter recorded tends of thousands constant magnetic field events and the reason is varied, however, the ultimate cause of the event is the hall-effect switch on smart meter. This paper just analyzed the event of constant magnetic that detected frequently by the electricity information acquisition system, and the result showed that the hall-effect switch from different manufacturers has different performance.
Research on market trading mechanism of distributed photovoltaic and electric heating load
Authors: Tong Xinyu , Zhang Yuze , Zhang Jie 
Published: April 2020

Abstract
Based on the analysis of the electricity sale mode of distributed photovoltaic and the electricity consumption trading mode of electric heating load, a market-oriented trading mechanism model of distributed photovoltaic and electric heating load is proposed, which provides a theoretical basis for the online analysis and operation control of distribution network under the market-oriented trading.
Static mechanic analysis of J-clamp connection mechanism for 10kV electric distribution network
Authors: Shaolei Wu , Yu Feng , Kai Wu 
Published: April 2020

Abstract
J-type clamp is used for bare wire live connection work, It is a power connection device for transmission and distribution systems. It’s performance and the size of the installation torque will directly affect the power transmission, If the installation torque is too large, the cable deformation will seriously affect the service life of the cable. If the torque is too small, the cable will be in poor contact or even the cable will fall off. In this paper, the three-dimensional finite element analysis model of j-type clamp was established. The stress and displacement of the clamp were analyzed by ANSYS Workbench simulation analysis software, and the analysis cloud map of the whole line clamp and main components was obtained. The analysis results can provide reference for the overall optimization of the clamp, and provide guidance for the standard installation of the clamp.