bluuebunny/crossref_metadata_2025_split huggingface dataset:
Legitimacy of Personal Data Mining and Related Regulatory Approaches: China’s Choices
Authors: Cui Shujie 
Published: June 2019

Abstract
Personal data mining is a crucial but controversial topic in the big data era. It is widely accepted in the technical filed as a big data technology. While more and more people begin to question its legitimacy for it causes many social and legal problems. This paper tries to demonstrate the legitimacy of personal data mining from the following reasons: a) personal data has certain public goods attribute and sharing characteristic, which is the internal premise of personal data mining; b) data appreciation theory is the theoretical basis of personal data mining; c) the principle of interests balance is the logical requirement of personal data mining; d) big data sharing economy provides practical soil for personal data mining. Based on the legitimacy analysis and China’s data development practices, personal data mining should be encouraged. Meanwhile, it is particularly important to regulate the approaches of personal data mining in four aspects: a) establishing the purpose of combining personal data mining and protection; b) balancing the interests of all parties in the process of personal data mining; c) improving data classification legislation; d) innovating technical means to achieve privacy protection.
The positive integral points on the elliptic curve y2 = (x + 4)(x2 − 4x + 5)
Authors: Xian-cun DU , Zhao Jianhong , Huizhang Yang 
Published: June 2019

Abstract
In this paper, we studied the elliptic curve y
2 = (x – a)(x
2 + ax + r), a, r ∈ Z
+ in the case of a = 6,r = 7 which has no relevant conclusions up to now. And we obtained the conclusion of the integer points on Elliptic y
2 = (x – 6)(x
2 + 6x + 7), elliptic curve in title has only one integer point (x, y) = (6,0) were proved with the help of the elementary methods such as congruence and Legendre symbol.
A Review of the Research on the Prediction Model of Extreme Learning Machine
Authors: Yibo Li , Fang Liu , Qi Cao 
Published: June 2019

Abstract
With the wide application of prediction, the research of prediction algorithm and theory has made a great progress. In recent years, extreme learning machines have been used in the field of prediction, such as stock price prediction. The prediction algorithms of ELM are reviewed in this paper, which includes the single extreme learning machine prediction algorithm and the combined prediction algorithm. At the same time, the existing problems and research directions are pointed out.
Fabrication of spiral fibre on PET substrate by electrospinning direct-writing for flexible electronics
Authors: Pan Yanqiao 
Published: June 2019

Abstract
Spiral fibre has strong flexibility and high porosity, which can be widely used in fabrication of stretchable microelectrode for flexible electronics when functional materials are mixed in fibre. It is attractive and challenging to generate spiral fibre on plastic substrate in a controllable manner. In this paper, polyethylene oxide spiral fibres are successfully fabricated on PET substrate by electrospinning direct-writing. The whole fabrication process of one spiral fibre is observed by a high-speed camera at 10000 fps in order to reveal the internal mechanism. Influence of repulsive forces by remaining electric charges on substrate is the main cause for the unique spiral pattern. This can provide a reference for manufacturing of functional microelectrode in future.
Research and Implement of Cache Fault Tolerance Technique
Authors: Wei Jianlei 
Published: June 2019

Abstract
For the space application, cache rams are easy to be affected by single event upset (SEU). To protect against SEU error, it is necessary to design fault tolerance cache. Multiple bit-flips faults are increasing as integrated circuits continue to scale into the deep sub-micron regime, the error detection ability need to be improved, so an interleaving grouping parity error detection code scheme is proposed in this paper, each 32-bit data and each 19-bit tag adding 4 valid bits adopt 4 parity bits respectively, the adjacent 4 bits data are assigned to different groups, so all less than 8 bits burst faults can be detected. The hit structure and updating structure of the cache memory are redesigned. No timing penalty occurs since parity checking is performed in parallel with tag comparison. The experimental results show that, by using the proposed technique, there is a small performance loss, but the advantage is the higher reliability valuable for safety system. The failure rate of the cache memory is lower by 6 orders of magnitude.
Design of the Photonic Crystal Slot Fractal Array Ultra Wideband Antenna
Authors: Lin Bin , Pan Yilang , Li Zhenchang , Zheng Ping , Wei Xinyu , Hong Zhijie 
Published: June 2019

Abstract
According to the performance requirements of the multi band compatible antennas for the mobile communication system, the radio frequency identification system, the ultra wideband system and the mobile digital TV system, the present paper originally combined photonic crystal structure, embedded slot fractal, rectangular array antenna, relative dielectric constant gradual thin film, potassium tantalum niobate thin film, Fe-based nanocrystalline alloy coating and graphene conductive ink, and designed a photonic crystal slot fractal array ultra wideband antenna. The result of test indicates that this antenna has strong anti-EMI capability, large performance redundancy and ultra wideband operation capability. This antenna completely covered all working frequency bands of the second generation to the fifth generation mobile communication, the frequency bands of the radio frequency identification system, the frequency band of the ultra wideband system, and the frequency band of the mobile digital TV system. This antenna has small size, high radiation intensity, stable and reliable operation performance; it is a microwave band multi network integration antenna with excellent performance.
Research on Spacecraft Abnormal State Detection Method Based on Telemetry Data
Authors: Luo Rongzheng , Tan Zhiyun , Gao He , Liang Ruidong , Feng Shuo 
Published: June 2019

Abstract
A method of spacecraft abnormal state detection based on telemetry data is proposed. The abnormal state of spacecraft is detected by telemetry data preprocessing, correlation calculation, extremum point extraction and abnormal state extraction. This method makes full use of the historical telemetry parameter samples, combines the characteristics of the spacecraft telemetry parameter data and the law of data variation, compares the correlation between the telemetry data over a period of time and its historical sample data, and compares the extreme point errors, so as to realize the spacecraft abnormal state detection with only a small amount of historical data and without design knowledge. It overcomes the dependence of existing abnormal state detection methods on expert experience knowledge and the problem that the existing detection methods cannot solve the abnormal changes of telemetry parameters which do not exceed the normal range. It provides an effective and intuitive method and tool for spacecraft managers to analyze the changes of spacecraft state.
Public-Key applications in E-commerce
Authors: Wang Zhaoqing , Zhao Yusheng , Zhong Guorong 
Published: June 2019

Abstract
In this paper, we describe the application of data encryption technology in E-commerce, and introduce the public key encryption and public key encryption system in detail. Then, we propose a composite encryption model that nests the DES algorithm in the RSA algorithm. Finally, we analyzed two widely used Internet protocols, SET and SLL, which can improve the security of payment and customer trust, and then describe the development of e-commerce by ensuring the security and accuracy of the transaction process.
Study on UCAV Robust Maneuvering Decision in Automatic Air Combat Based on Target Accessible Domain
Authors: Han Tong , Wang Xiaofei , Liang Yajun , Ku Shuo 
Published: June 2019

Abstract
The paper presents a deep study on the robust maneuvering decision of unmanned combat aerial vehicle (UCAV) in air combat. First, a method to descript the target accessible domain by angles is designed. Then the state prediction model of the target with variable weight is built based on the change of target tactical intention. Second, robust membership functions that reflect the air combat situation are denoted to building up the decision method, robust multi-objective optimization (RMO). Finally, grey wolf optimizer (GWO) is adopted to complete the optimization. The simulation result shows that, the model of target state prediction based on accessible domain can reflect the tactical intention and the state prediction can obtain better situation advantage than that without prediction. Moreover, the RMO can get the promising result and the GWO can satisfy the need of maneuvering decision.
Remining Useful Life Prediction of Equipment Driven by Multi-Sensor Data
Authors: Huijie Zeng , Lin Deng , Jiansheng Guo , Jian Wang , Tengjiao Wang , Taoyong Gu 
Published: June 2019

Abstract
This paper presents a method for predicting the remining useful life (RUL) of equipment by using multi-sensor monitoring data of equipment. Firstly, the performance degradation of equipment is evaluated based on the maximum information coefficient. Then the performance degradation model is built by using Wiener process with non-linear drift. The maximum likelihood is used to estimate the parameters of the model, and the probability density distribution of RUL considering random failure threshold is deduced. Finally, the parameters of the model are updated by improved particle filter, and the RUL of the remaining equipment is predicted.
Research on the Extraction Method of Explicit Attribute-View Pairs in Product Review
Authors: Jia Yafang , Lin Shaofu 
Published: June 2019

Abstract
The fine-grained affective analysis of product reviews is a fine-grained mining of the content of reviews, which has important research significance. The explicit attribute-viewpoint extraction is one of its key research issues. Due to the complex structure and colloquial features of online product reviews, traditional models are not ideal for the extraction of explicit attribute-views pairs. To solve this problem, this paper proposes an extraction method based on deep learning and integrating positional relationship information. By using the Bi-directional Long Short-Term Memory Network to overcome the problem of long distance dependence, the author makes full use of the context, combines the attention mechanism to reduce the noise weight of sentence-level informal text, and integrates the feature of position relation to enrich the feature information. The experimental results show that compared with other models, the network model proposed in this paper has improved the call rate and F1 value.
Research on risk control of social endowment insurance fund operation in China
Authors: Yang Rong 
Published: June 2019

Abstract
Social pension is an important and sensitive topic. The reason for this is that there is a huge gap in China’s social endowment insurance. In recent years, the topic and discussion about the pension fund entering the market have never been interrupted. Therefore, it is of great significance to study the risk and risk control of social endowment insurance under such a background. Based on this research background, this paper introduces the current situation and existing problems of China’s endowment insurance, and puts forward some risk control measures to solve these problems, hoping to play a role in relevant research and decision-making.
Effect of different intensity aerobic exercise on sleep quality in patients with type 2 diabetes
Authors: Yang Chunxia , Zhong Xiaoling , Liang Huazhen 
Published: June 2019

Abstract
Diabetes is a chronic disease, especially in type 2 diabetes, which is more common in China. According to the report of the 18th International Diabetes Federation (IDF) meeting, there were about 150 million diabetic patients in the world in 2003, of which type 2 diabetes accounted for 90%-95%, and the global incidence rate is on the rise. In this paper, based on the sense of movement and therapy, the sleep quality of patients with type 2 diabetes was analyzed. Based on the pathological study of the disease, some matters needing attention were put forward, with a view to enlightenment.
Study on Encryption Techniques of Distance Measurement in Laser Fuze
Authors: Yiyan Lei , Kang Yi , Yuting Zhao 
Published: June 2019

Abstract
To improve the anti-interference performance of laser fuze, the polarized properties of laser in the laser fuze is used. By controlling the polarized properties of laser, the target and get the information of distance can be recognized. According to the polarized properties of scattering light, the laser fuze distinguishes the target from the background, which can weaken the influence of the background light and active interference. At the same time, some key technologies of laser fuze, such as rotation of bomb and information encryption and so on, are also studied.
Multi-mode Dynamic Aggregation Strategy for Mobile Edge Resources
Authors: Wang Weihong , Zhou Fuxiang , Feng Qian , Cao Yuhui , Lv Hongyan 
Published: June 2019

Abstract
In view of the problem of network service delay and low resources utilization caused by frequent resources failure in mobile network service processing, this paper proposed a multi-mode dynamic aggregation strategy for mobile edge resources (MDDAS). Firstly, the definitions and expressions of mobile edge resources were given in the paper by the form of resource vectors, and a two-layer resource aggregation model was proposed. After that, the parameters and operators required for resources aggregation are defined. Then, the resource aggregation schemes and the construction of the resources view are described by applying definition formulas and calculation parameters. Finally, it is verified by experiments that the MDDAS achieves the purpose of reducing the processing delay of network services and improving the utilization of network resources to a certain extent.
Research on Text Mining of Railway Safety Supervisors Performance Based on BiLSTM and CRF
Authors: Gao Fan , Wang Shisheng , Li Xinqin , Cao Hongfei , Cai Xiaolei 
Published: June 2019

Abstract
In the era of big data with unstructured data, the potential value of unstructured data mining is an effective way to solve the industry problem. Based on a large number of data recorded from the actual text of the performance plan of railway security supervisors, this paper proposes a text similarity calculation method based on text mining technology to calculate whether the personnel performance plan matches the reality. First, the text Named Entity Recognition(NER) is realized by using the combination of Bi-directional Long Short Term Memory (BiLSTM) and the Conditional Random Fields (CRF). Then based on the concept similarity calculation of HowNet, we designed the method of calculating the similarity between the same named entity. After that, different weights are given according to the importance of named entity, and a method of computing similarity between named entities is designed.. Finally, according to the given threshold, to obtain whether planning and realistic matching, and the actual personnel working situation, provide the basis for personnel assessment for the management personnel.
The characteristics of WC based cemented carbide using nonmagnetic Ni(W) solid solution derived from ammonium paratungstate as the binder
Authors: Hong Myongson , Sun Xudong , Xiu Zhimeng , Kim Donggil 
Published: June 2019

Abstract
An effective technique for making nonmagnetic WC based cemented carbide by using Ni(W) solid solution manufactured from ammonium paratungstate(APT) as the binder was developed. It was found that powder particles using APT as the W source had larger contact area between W and Ni and higher activity, which was conducive to the mutual diffusion between Ni and W, leading to a faster solid phase reaction and higher content of W diffused into Ni. And the mechanical and nonmagnetic properties of WC based cemented carbide derived from nonmagnetic Ni(W) solid solution as the binder are much better than those derived from pure Ni as the binder.
Synthesis, Characterization and Property of Amphiphilic Copolymer
Authors: Han Nianfeng , Zhou Dejie , Hu Xiuying , Wang Qingzhao 
Published: June 2019

Abstract
Atom transfer radical polymerization (ATRP) has been employed for the synthesis of an amphiphilic diblock copolymer MeOPEO-b-PBMA. The macroinitiator was prepared by poly(ethylene oxide) monomethyl ether with 2-Bromoisobutyryl bromide. The amphiphilic diblock copolymer was obtained by the macroinitiator and monomer n-Butyl methacrylate (BMA). The block copolymer was characterized by means of proton nuclear magnetic resonance (1H NMR). The honeycomb-patterned polymer films was obtained by the breath figure method. Water contact angle measurements revealed that a hydrophobic surface is obtained. The amphiphilic polymers expected to the application as the hydrophobic materials.
A Novel Method for Reducing Springback of Hot Stretch Bending Parts
Authors: Cao Fengchao , Zeng Yuansong , Liu Baosheng , Wu Wei 
Published: June 2019

Abstract
Due to the impact of temperature on springback in hot stretch bending(HSB) process, this paper proposed a modified hot stretch bending(MHSB) process in which a reheating process was added before post stretching. The reheating process was realized by controlling the current distribution in the straight region and the bent region of titanium extrusion. Prior to HSB tests, uniaxial tensile tests were carried out to determine the deformation behavior of extrusion under the temperature condition similar to the HSB processes investigated. The results of the tensile tests provided supporting evidence for that the temperature of post stretching strongly affected the forming accuracy of hot stretch bending parts. Particularly, much more joule heat generated in the bent region than in the straight region successfully reheated it to initial forming temperature by increasing current before post stretching. Accordingly, the springback was significantly reduced via the novel method compared to conventional hot stretch bending(CHSB) process. This method is proved to be an efficient and lower cost solution for reducing springback in HSB.
Condition Monitoring Technology for Bearing Ring Groove Grinding
Authors: Zhi Hou , Jie Zeng 
Published: June 2019

Abstract
Bearing is the most important basic components of mechanical equipment, and its machining quality directly affects the equipment quality. The ring is a main part of the rolling bearing, its groove is the working surface of rolling bearing, and its accuracy will directly affect performance and lifecycle of rolling bearing. Grinding method is often used to ensure the machining quality of ring groove, and grinding processing is crucial to final quality of bearing products. Therefore, in order to research and understand the quality assurance technology of grinding process for ring groove, three technologies such as grinding technology, condition monitoring technology and ring groove grinding state monitoring technology are discussed and analysed.
Research on the handling stability of four-wheel steering vehicle
Authors: Liu T , Jia L N , Yang N , Li C S 
Published: June 2019

Abstract
Now days, people have higher and higher requirements on automobile performance. As an important performance of a vehicle, the handling stability not only affects the driver’s driving experience, but also relates to the safety of the occupants. In order to improve the handling stability of vehicles, a simulation of the four-wheel-steering system in the linear range based on the time domain was conducted in this paper. Sideslip angle and yaw rate were taken as control targets. Proportional feedback control and PID control were integrated in the control system. The comparison of the front-wheel-steering system and the four-wheel-steering system indicated that the four-wheel-steering system had obvious effect on improving the handling stability of the vehicle.
Real-time defect detection of laser additive manufacturing based on support vector machine
Authors: Liu Tao , Huang Lei , Chen Bo 
Published: June 2019

Abstract
Laser additive manufacturing is an advanced digital manufacturing technology used to build or repair metal parts layer by layer. However, monitoring and in-process defect diagnosis lag behind advances in other key technologies, which makes product quality control a challenging problem. In this paper, a novel real-time monitoring system is proposed to automatically detect defects using principal component analysis and support vector machine. A camera is used in the image acquisition system to capture molten pool image. Ten molten pool features were extracted and principal component analysis was used to reduce the dimensions of the feature set. Support vector machine is used to build a classifier to detect defects in the deposited layer. The experimental results show that the SVM method can achieve high defect detection rate when identifying both slag and bulge defects. The support vector machine has a more satisfactory performance than the RBF neural network method. It is proved that the support vector machine method can be used more accurately and more universally in the in-situ monitoring system of laser additive manufacturing for defect diagnosis.
Experimental study of the physical and mechanical properties of pervious concrete with recycled and gravel aggregate
Authors: Zhang Yangang , yang Chuanjun , Shi Yunxing , Ni Kun , Li Yanwen , Zhang Peng 
Published: June 2019

Abstract
A experiment research on pervious concrete using recycled and gravel as aggregate was carried out. The effects of aggregate binder ratio and water cement ratio on compressive strength of the concrete were studied. The results show that the water cement ratio has different influence on the compressive strength of the two kinds of concretes, while the influence rule of the aggregate binder ratio is approximately the same, but the degree is different, moreover, the compressive strength of the concrete (using gravel as aggregate) in 28 days is basically the same as that in 56 days.
Interfacial intermetallic developments of Sn-3.0Ag-0.5Cu-2.0ZnO lead free solder
Authors: Qu Min , Cao Tianze , Cui Yan , Liu Fengbin , Jiao Zhiwei 
Published: June 2019

Abstract
The interfacial intermetallic compound growth behavior of Sn-3.0Ag-0.5Cu lead free solder joints with 2.0wt.% ZnO of micrometer was investigated in this study. Solder joints were fabricated in F4N reflow furnace at 255°Cfor less than 5min and thereafter aged at 150°C up to 240h. Results showed that the IMCs layer were almost layer type and grew thicker with extended aging time. The IMCs of Sn-3.0Ag-0.5Cu-2.0ZnO composite solder was diffusion controlled mechanism by diffusion growth kinetics analysis, moreover, the diffusion coefficient of Sn-3.0Ag-0.5Cu-2.0Zn0 composite solder was 0.31 μm2/h and smaller than that of Sn-3.0Ag-0.5Cu plain solder, it revealed that ZnO powder can reduced the diffusion coefficient of interfacial intermetallic compound.
A Survey of Traceback Based on Probabilistic Packet Marking Under DDoS Attacks
Authors: Zhou Linna , Jiang Hui , Zhou Xinli 
Published: June 2019

Abstract
DDoS attacks are mostly adopted by attackers in the network. This attack is malicious on the network protocol, resulting in the object not working properly. At present, the Packet Marking is the main method to trace back the attackers under DDoS attacks, especially the Probabilistic Packet Marking (PPM) of Packet Marking. Therefore, the two main types of Probabilistic Packet Marking are studied in this paper: Advanced Packet Marking and Authenticated Packet Marking (APM) and Adjusted Probabilistic Packet Marking (APPM).