bluuebunny/crossref_metadata_2025 huggingface dataset:
Carbon monoxide and carbon dioxide adsorption on alkali metal cation‐exchanged SSZ‐13 zeolites
Authors: Feng Jiawei , Hu Yunfeng , Bao Qiang , Liang Dan , Xu Ying
Published: April 2020

In this work, chabazite SSZ‐13 samples with different cations were synthesised by hydrothermal method and thoroughly analysed using various characterisation techniques. The role of types of cations in CO2 and CO adsorption measurements was investigated. The adsorption isotherms were fitted by Langmuir, Langmuir‐Freundlich and Toth adsorption models, respectively. The result shows that the Langmuir‐Freundlich model is the most suitable for the adsorption isotherms of SSZ‐13 molecular sieves. The adsorption isotherms of the fitted CO2 and CO were analysed to study the high silicon SSZ‐13 samples of alkali metal cations Li+, Na+, K+ and Cs+ for ion exchange. The result shows that Na+ has the highest adsorption capacity, but the adsorption selectivity is extremely low. K+ has the lowest adsorption capacity, but it has excellent adsorption selectivity, which may be attributed to its large cation radius and the special position of cations in CHA skeleton structure, resulting in the formation of ‘molecular trapdoor’ effect. In addition, Cs+ has a larger ionic radius than K+, but the adsorption selectivity is not significantly improved, similar to Li+. It can be determined that the ‘molecular trapdoor’ effect has a significant relationship with the position of cations in the framework.
Preparation and characterisation of exfoliated muscovite/poly(2,3‐dimethylaniline) nanocomposites with an enhanced anticorrosive performance
Authors: Chen Shanhua , Chen Fang , Di Yuli , Han Shihu , Zhu Xiaodong
Published: April 2020

The application of organic muscovite (OM)/Poly(2,3‐dimethylaniline) (OM/P(2,3‐DMA)) nanocomposites in corrosion protection is proposed in this Letter. The OM/P(2,3‐DMA) nanocomposites were successfully prepared by in situ chemical oxidation polymerisation of poly(2,3‐dimethylaniline). The OM/P(2,3‐DMA) coating considerably improved the anticorrosion performance of steel. Compared to the P(2,3‐DMA) coating, the OM/P(2,3‐DMA) with loading of 6 wt% of OM displayed an optimal anticorrosive performance.
A redshift database towards the Shapley supercluster region
Authors: Quintana Hernán , Proust Dominique , Dünner Rolando , Carrasco Eleazar R. , Reisenegger Andreas
Published: April 2020

We present a database and catalogue of radial velocities of galaxies towards the region of the Shapley Supercluster (SSC) based on 18 129 measured velocities for 10 702 galaxies in the approximately 300 square degree area between 12h43m00s < RA < 14h17m00s and −23° 30′00″ > Dec >   − 38° 30′00″. The database contains velocity measurements that have been reported in the literature up until 2015. It also includes 5084 velocities, corresponding to 4617 galaxies, observed by us at Las Campanas Observatory and Cerro Tololo Inter-American Observatory, which had not been reported individually until now. Of the latter, 2585 correspond to galaxies with no other previously published velocity measurement before 2015. Every galaxy in the velocity database has been identified with a galaxy extracted from the SuperCOSMOS photometric catalogues. We also provide a combined average velocity catalogue for all 10 702 galaxies with measured velocities, adopting the SuperCOSMOS positions as a homogeneous base. A general magnitude cut-off at R2 = 18.0 mag was adopted (with exceptions only for some of the new reported velocities). In general terms, we confirm the overall structure of the SSC as reported in earlier papers. However, the more extensive velocity data show finer structures, which is to be discussed in a future publication.
Electromagnetic induction heating as a driver of volcanic activity on massive rocky planets
Authors: Kislyakova Kristina , Noack Lena
Published: April 2020

Aims. We investigate possible driving mechanisms of volcanic activity on rocky super-Earths with masses exceeding 3–4 M⊕. Due to high gravity and pressures in the mantles of these planets, melting in deep mantle layers can be suppressed, even if the energy release due to tidal heating and radioactive decay is substantial. Here we investigate whether a newly identified heating mechanism, namely induction heating by the star’s magnetic field, can drive volcanic activity on these planets due to its unique heating pattern in the very upper part of the mantle. In this region the pressure is not yet high enough to preclude the melt formation.

Methods. Using the super-Earth HD 3167b as an example, we calculate induction heating in the planet’s interiors assuming an electrical conductivity profile typical of a hot rocky planet and a moderate stellar magnetic field typical of an old inactive star. Then we use a mantle convection code (CHIC) to simulate the evolution of volcanic outgassing with time.

Results. We show that although in most cases volcanic outgassing on HD 3167b is not very significant in the absence of induction heating, including this heating mechanism changes the picture and leads to a substantial increase in the outgassing from the planet’s mantle. This result shows that induction heating combined with a high surface temperature is capable of driving volcanism on massive super-Earths, which has important observational implications.
Fast degradation of the circular flare ribbon on 2014 August 24
Authors: Zhang Q. M. , Yang S. H. , Li T. , Hou Y. J. , Li Y.
Published: April 2020

Context. The separation and elongation motions of solar flare ribbons have extensively been investigated. The degradation and disappearance of ribbons have rarely been explored.

Aims. We report our multiwavelength observations of a C5.5 circular-ribbon flare associated with two jets (jet1 and jet2) on 2014 August 24, focusing on the fast degradation of the outer circular ribbon (CR).

Methods. The flare was observed in ultraviolet (UV) and extreme-ultraviolet (EUV) wavelengths by the Atmospheric Imaging Assembly (AIA) on board the Solar Dynamics Observatory spacecraft. Soft X-ray fluxes of the flare in 0.5−4 and 1−8 Å were recorded by the GOES spacecraft.

Results. The flare, consisting of a short inner ribbon (IR) and outer CR, was triggered by the eruption of a minifilament. The brightness of IR and outer CR reached their maxima simultaneously at ∼04:58 UT in all AIA wavelengths. Subsequently, the short eastern part of the CR faded out quickly in 1600 Å but only gradually in EUV wavelengths. The long western part of the CR degraded in the counterclockwise direction and decelerated. The degradation was distinctly divided into two phases: phase I with faster apparent speeds (58−69 km s−1), and phase II with slower apparent speeds (29−35 km s−1). The second phase stopped at ∼05:10 UT when the western CR disappeared entirely. In addition to the outward propagation of jet1, the jet spire experienced untwisting motion in the counterclockwise direction during 04:55−05:00 UT.

Conclusions. We conclude that the event can be explained by the breakout jet model. The coherent brightenings of the IR and CR at ∼04:58 UT may result from the impulsive interchange reconnection near the null point, whereas sub-Alfvénic slipping motion of the western CR in the counterclockwise direction indicates the occurrence of slipping magnetic reconnection. Another possible explanation of the quick disappearance of the hot loops that are connected to the western CR is that they are simply reconnected sequentially without the need for significant slippage after the null-point reconnection.
Refraktive Hornhautchirurgie: Nachkorrekturen
Authors: Kook Daniel , Mayer Wolfgang J. , Shajari Mehdi , Steinwender Gernot , Kohnen Thomas
Published: April 2020

In den 30 Jahren seit Beginn der laserassistierten Hornhautchirurgie sind die Techniken zur Korrektur von Fehlsichtigkeiten weiterentwickelt und verbessert worden. Dennoch muss ein Teil der Patienten nachkorrigiert werden, u. a. wegen residualer Refraktionsfehler. Darüber soll im Folgenden berichtet werden.
Update endokrine Orbitopathie
Authors: Eckstein Anja , Oeverhaus Michael , Stöhr Mareile , Dekowski Dirk , Berchner-Pfannschmidt Utta , Esser Joachim , Möller Lars , Führer-Sakel Dagmar
Published: April 2020

Die endokrine Orbitopathie ist eine Autoimmunerkrankung, die am häufigsten zusammen mit einer Schilddrüsenüberfunktion vom Typ Basedow auftritt. Die Patienten weisen spezifisch TSH-Rezeptor-Autoantikörper auf. Diese stimulieren die Schilddrüse und führen zu einer von der Hypophyse nicht mehr kontrollierten Schilddrüsenüberfunktion. Die TSH-Rezeptor-Autoantikörper und vornehmlich infiltrierende T-Zellen und Makrophagen verursachen krankhafte Veränderungen der Orbitafibroblasten mit dem Endresultat einer Fettvermehrung in der Orbita, Entzündungsreaktion und Fibrose. Die Folge sind Lidretraktion, Augenbewegungsstörung, Exophthalmus und eine mehr oder weniger ausgeprägte entzündliche Weichteilsymptomatik. Die chronische Entzündungsreaktion verläuft in drei Phasen: aktive Phase, Plateauphase und inaktive Phase. In der aktiven Phase kann man mit einer antientzündlichen Therapie (i. v. Steroide und Orbitaspitzenbestrahlung – bei ausbleibenden Erfolg Kombination mit einer immunmodulatorischen Therapie) die endokrine Orbitopathie bessern. Eine Vollheilung ist jedoch mit den aktuell verfügbaren Therapieoptionen selten. Dies ändert sich möglicherweise in der Zukunft, wenn neue zielgerichtete Therapien zum Einsatz kommen, die aktuell in Studien getestet werden. Meist müssen bleibende Defekte chirurgisch in folgender Reihenfolge korrigiert werden: 1. Orbitadekompression, 2. Augenmuskelchirurgie und 3. Lidchirurgie. Eine schlechte Kontrolle der Schilddrüsenfunktion, Nikotinkonsum und hohe TSH-Rezeptor-Autoantikörper-Spiegel sind die stärksten Risikofaktoren für einen schweren Verlauf der Erkrankung. Seltenere Formen wie die endokrine Orbitopathie ohne begleitende Schilddrüsenerkrankung und die endokrine Orbitopathie assoziiert mit einer Autoimmunthyreoiditis vom Typ Hashimoto verlaufen meist mild und häufig asymmetrisch.
Using Rheo-Small-Angle Neutron Scattering to Understand How Functionalised Dipeptides Form Gels
Authors: McAulay Kate , Thomson Lisa , Porcar Lionel , Schweins Ralf , Mahmoudi Najet , Adams Dave J. , Draper Emily R.
Published: April 2020

We explore the use of rheo-small-angle neutron scattering as a method to collect structural information from neutron scattering simultaneously with rheology to understand how low-molecular-weight hydrogels form and behave under shear. We examine three different gelling hydrogel systems to assess what structures are formed and how these influence the rheology. Furthermore, we probe what is happening to the network during syneresis and why the gels do not recover after an applied strain. All this information is vital when considering gels for applications such as 3D-printing and injection.
Severe COVID-19 during Pregnancy and Possible Vertical Transmission
Authors: Alzamora Maria Claudia , Paredes Tania , Caceres David , Webb Camille M. , Valdez Luis M. , La Rosa Mauricio
Published: April 2020

There are few cases of pregnant women with novel corona virus 2019 (COVID-19) in the literature, most of them with a mild illness course. There is limited evidence about in utero infection and early positive neonatal testing. A 41-year-old G3P2 with a history of previous cesarean deliveries and diabetes mellitus presented with a 4-day history of malaise, low-grade fever, and progressive shortness of breath. A nasopharyngeal swab was positive for COVID-19, COVID-19 serology was negative. The patient developed respiratory failure requiring mechanical ventilation on day 5 of disease onset. The patient underwent a cesarean delivery, and neonatal isolation was implemented immediately after birth, without delayed cord clamping or skin-to-skin contact. The neonatal nasopharyngeal swab, 16 hours after delivery, was positive for severe acute respiratory syndrome–coronavirus 2 (SARS-CoV-2) real-time polymerase chain reaction (RT-PCR), and immunoglobulin (Ig)-M and IgG for SARS-CoV-2 were negative. Maternal IgM and IgG were positive on postpartum day 4 (day 9 after symptom onset). We report a severe presentation of COVID-19 during pregnancy. To our knowledge, this is the earliest reported positive PCR in the neonate, raising the concern for vertical transmission. We suggest pregnant women should be considered as a high-risk group and minimize exposures for these reasons.

Key Points
Development of aspect markers in Arandic languages, with notes on associated motion
Authors: Koch Harold
Published: April 2020

Languages of the Arandic subgroup of Pama-Nyungan languages of Australia have developed markers of aspect from a variety of sources, including verb phrases with stance auxiliaries and reduplicated forms. Other origins involve nominalised verb forms and the refunctionalisation of tense suffixes. Some unusual diachronic developments have to do with interactions between aspectual markers and those of the highly developed verbal category of associated motion. There are shifts in both directions – from aspectual to associated motion values as well as extension of associated motion to aspectual meanings. All the posited diachronic changes are inferred by means of reconstruction, since there is virtually no corpus of documents from which changes in real time can be traced.
Kisikongo (Bantu, H16a) present-future isomorphism
Authors: Dom Sebastian , de Schryver Gilles-Maurice , Bostoen Koen
Published: April 2020

The North-Angolan Bantu language Kisikongo has a present tense (Ø-R-ang-a;R = root) that is morphologically more marked than the future tense (Ø-R-a). We reconstruct how this typologically uncommon tense-marking feature came about by drawing on both historical and comparative evidence. Our diachronic corpus covers four centuries that can be subdivided in three periods, viz. (1) mid-17th, (2) late-19th/early-20th, and (3) late-20th/​early-21st centuries. The comparative data stem from several present-day languages of the “Kikongo Language Cluster.” We show that mid-17th century Kisikongo had three distinct constructions:Ø-R-a(with present progressive, habitual and generic meaning),Ø-R-ang-a(with present habitual meaning), andku-R-a(with future meaning). By the end of the 19th century the last construction is no longer attested, and both present and future time reference are expressed by a segmentally identical construction, namelyØ-R-a. We argue that two seemingly independent but possibly interacting diachronic evolutions conspired towards such present-future isomorphism: (1) the semantic extension of an original present-tense construction from present to future leading to polysemy, and (2) the loss of the future prefixku-, as part of a broader phenomenon of prefix reduction, inducing homonymy. To resolve the ambiguity, theØ-R-ang-aconstruction evolved into the main present-tense construction.
A short circuit fault diagnosis method for DC voltage converter based on neural network
Authors: Xu Zhichao , Song Chao , Liu Junxia
Published: April 2020

Aiming at the problem of complicated data calculation and slow data iteration in the diagnosis process of the tra ditional wavelet packet decomposition method for DC voltage converter short circuit fault diagnosis, a short circuit fault diagnosis method based on neural network is proposed. After determinin g which phase has a short circuit, the MMC method is used to locate the specific short circu it fault position. The basic structure of the neural network is determined according to the needs of short circuit fault diagnosis of the converter, and the training sample set is used to train the neural network and determine its parameters. Combined with fault location and fault characteristics, the short circu it fault diagnosis of the converter is completed by using neural network. By comparing with the short circu it fault diagnosis method based on wavelet packet decomposition, it is proved that the proposed short circuit fault diagnosis method based on neural network can complete several iterations in a short time and realize the high efficiency of fault diagnosis.
Deceptive Jamming Recognition Based on Wavelet Entropy And RBF Neural Network
Authors: Peng Rongshuo , Dong Pengshu , Meng Cangzhen
Published: April 2020

The development of digital radio frequency memory has made the technology of deceptive jamming get a qualitative leap. The real-time and immersiveness are greatly improved, which makes it difficult to manually judge the type of deceptive jamming. Aiming at the problem of automatic identification of deceptive jamming, a method based on wavelet entropy for deceptive jamming is studied. Firstly, three mathematical models of deceptive jamming patterns are combed, then wavelet analysis is performed on the signal and wavelet entropy is extracted, and then sent to the radial basis function (RBF) neural network for automatic classification. The simulation results show that the proposed method has a high recognition rate for deceptive jamming patterns, which relatively less affected by the Jamming-to-Noise Ratio (JNR), and has a faster calculation velocity and better real-time performance.
The effect of region-based message selective delivery strategy on post-disaster emergency network
Authors: Xiong Xuanrui , Liu Min , Zhang Yuan , Zhang Nong , Chen Gaosheng , Fu Mingkai , Cheng Zhanwei
Published: April 2020

Stricken areas are shut off from the world, as large-scale infrastructures (e.g. bridges, roads and power equipments) have been destroyed after earthquakes, floods, and other disasters. Large-scale and cross-regional communication in the disaster area is difficult to achieve due to the harsh communication environment, such as unstable communication links and limited network resources, especially for remote isolated areas. Delay tolerant networks (DTNs) use the way of a “store-carry-forward” to transfer messages, which is suitable for the large transmission delay and intermittent link communication. In this paper, the DTNs based on regional center node and Unmanned Aerial Vehicle (UAV) is proposed to build the post-disaster emergency communication network. Further, a region-based message selective delivery routing policy is proposed for the emergency communication network. The received messages are classified according to its destination address at the regional center node and the UAV ferry node. In this way, the data packets can be accurately delivered to the corresponding area, and redundant data packets will be reduced in the network. The effect of the routing policy on network performance is evaluated. Simulation results show that the policy can effectively improve the data delivery rate, reduce the overhead ratio and significantly reduce the transmission delay.
Based on netease train ticket booking system design and implementation
Authors: Cheng Yunli
Published: April 2020

With the continuous development of mobile Internet technology, the use of the traditional Internet has been unable to meet the needs of people to buy train tickets online, people more hope to be able to buy train tickets anytime and anywhere through mobile phones and other terminals.Currently, the train ticket purchase software in the market does not provide the ticket snatching function of the mobile client. Based on Freemarker and Spring Model View Controller (Model View Controller), this project designed and developed its own server-side framework to improve development efficiency and enhance system security.By extending the Spring framework, the mature application of Aspect Orient Programming (Aspect orientation Programming) and annotation technology in the industry is widely used to reduce the coupling between modules, improve the development efficiency and reduce the maintenance cost.Through the extensive use of load balancing technology and the independently developed load balancing module, a stable and efficient cluster system is established in the background, which also significantly improves the user access speed. Through the independently developed monitoring platform, a large number of background servers are monitored. By widely using Squid, Mencache and other caching technologies and page static technology, the pressure of accessing the background database and file system is greatly reduced, and the speed of user data reading is significantly improved.At present, the project has been put on line. During the period when the system was put on line, the user growth was stable, the number of ticket users continued to increase, and the user experience was constantly enhanced.
The Status Quo and Effects of Undergraduate Students’ Cybersecurity Judgment: A study in China
Authors: Chongrui Liu , Zhiqiang Wang , Cong Wang , Yan Liu , Hongjie Wang
Published: April 2020

Internet users’ cybersecurity psychology and cognition play an important role in their cybersecurity behavior. Taking 347 Chinese undergraduate students for example, this study assessed internet users’ cybersecurity judgment and its effect on cybersecurity behavior in the Eastern countries. Results showed that the average percentage correct of cybersecurity judgment was 63.62%, cybersecurity judgment had positive impact on cybersecurity behavior. Furthermore, gender had a moderating effect on the relationship between cybersecurity judgment and cybersecurity behavior, compared with female, cybersecurity judgment had more positive influence on male’ cybersecurity behavior.
Application Research of Electronic Information Technology in Communication
Authors: Feng RuiZhi
Published: April 2020

In some actual communication command operations, it is found that communication signals are more susceptible to interference. Interference includes both internal and external factors. The interference causes the communication information to be not transmitted to the terminal device in time, and the communication work cannot be completed. Today, with the rapid development of electronic technology, the combination of electronic information technology and communication engineering can not only lay a technical foundation for command work, but also greatly improve the signal transmission speed and quality of communication command. This topic will analyze the impact of electronic information technology on communication command work, and explore how to effectively use electronic information technology for communication command work.
Integral Attack on Reduced-Round BORON Based on Bit-Based Division Property
Authors: Li Yanjun , Liang Meng , Lin Hao , Wang Shubei
Published: April 2020

BORON is a 64-bit block cipher with 80 and 128-bit key length proposed by Bansod et al (Frontiers of Information Technology & Electronic Engineering). Integral attack is one of the typical cryptographic analysis methods of block cipher. In this paper, we establish a MILP (mixed integer linear programming) model of BORON based on bit-based division. We get a 6-round integral distinguisher, which is the longest integral distinguisher of BORON. Based on 6-round distinguisher, we can attack 7-round BORON with time complex 254.19 and data complex 254, 8-round BORON with time complex 258.34 and data complex 256.32, and 9-round BORON with time complex 294.06 and data complex 257.90. This is the first security assessment of BORON in integral nature.
Design of Intelligent Safety Monitoring System for Power Supply Bureau Based on ZigBee Technology and Information Fusion
Authors: Zhu Jianbao , Fu Jing , Sun Yuwei , Shi Ye , Deng Weichao , Chen Yu
Published: April 2020

Safe operation of the power supply bureau is very important. A design scheme of intelligent security monitoring system for power supply bureau based on ZigBee technology and information fusion is proposed. Through the ZigBee wireless communication technology, the wireless self-organizing network service is provided for the security operation of the power supply bureau, and the various sensor nodes of the system are connected with the coordinated control node, and a feasible system reliability design solution is proposed in combination with the actual application environment.
Design and Implementation of Traffic Incident Acquisition and Reporting Device Based on LTE Communication
Authors: Guangjin He , Guang Yang , Yubao Cai , Chaofeng Ma
Published: April 2020

With the development of Internet of Things (IOT) technology, V2X vehicle-road collaboration platform is rapidly applied to intelligent traffic control and road condition service. However, the existing platforms have the problems of inaccurate collection and release of traffic incidents, which can not solve the situation of a large number of secondary accidents and traffic congestion. To meet this demand, a road traffic incident collection and reporting device based on LTE communication is designed. As a roadside intelligent device of LTE-V2X vehicle infrastructure cooperative platform, it realizes the real-time and fast collection and reporting of traffic incidents, and sends them out in real time through V2X internet of vehicle service platform to help drivers adjust their driving routes and avoid congestion points. To help the traffic management department locate the incident quickly and deal with it effectively, so as to eliminate the negative impact of the incident on traffic operation in the shortest time, and further improve the road operation safety and smoothness index and operation efficiency.
Network pharmacology-based prediction of potential targets of ethnic medicine Blumea balsamifera (L.) DC acting on anti-infammatory effect
Authors: Kong Juan , Huang Xulong , Yang Xiaosong , Zhang Lingling , He Xiaomei , Liu Qin , Wu Hongmei , Wang Xiangpei
Published: April 2020

Blumea balsamifera (L.) DC is an ethnic medicine with a significant anti-inflammatory effect. At present, there were many reports on the anti-inflammatory efficacy of B. balsamifera, but the mechanism of its is rarely reported. Therefore, the method of network pharmacology has been adopted in this paper to predict the molecular mechanism of the anti-inflammatory effect of B. balsamifera. The active chemical constituents of B. balsamifera were screened by reference to the literature, TCMSP and TCMID. A target data set of active chemical components was established by traditional chinese medicine target, TCMSP and BATMAN-TCM database. The target of the active ingredients were introduced into the HIT and TTD to establish a potential target data set of the B. balsamifera active ingredients. A OMIM was used to screen for inflammation-related genes and protein targets to establish an inflammatory target dataset. The complex network map of “active ingredient-target-disease” was constructed using Cytoscape3.6.1 software. A PPI analysis database was used to construct a protein interaction network of B. balsamifera component targets and inflammatory targets. GO functional and KEGG pathway enrichment analysis were performed by the biological information annotation database. As a result, 12 active chemical components in B. balsamifera were screened. The corresponding target of 724 active compounds were retrieved. There are 33 signaling pathways and 28 biological processes that were directly or indirectly related to the anti-inflammatory effects of B. balsamifera. Through enrichment analysis, the main signaling pathways of B. balsamifera include TNF signaling pathway, Hepatitis B, Toll-like receptor signaling pathway, NF-kappa B signaling pathway, etc. Finally, Network pharmacology provides new ideas and methods for the study of the anti-inflammatory mechanism of B. balsamifera.
Analysis of Research Parameters for Cascading Failures of Interdependent Network Based on the Giant Component
Authors: Wang Chao , Guo Jilian , Shen Anwei
Published: April 2020

With the deepening of the research on complex network, the cascading failures problem of the interdependent network is one of the hot research issues in the field. Setting reasonable parameters in the cascading failures analysis of interdependent network is of great significance for subsequent research. The mechanism of common models generation is analyzed, and its formula expression form is constructed. Starting from the single network cascading failures pattern, combined with the interdependent network theory research, a cascading failures model of interdependent network based on the giant component is established. The robustness analysis of interdependent networks with different network scale and different average degree is carried out for three common interdependent networks: BA-BA, WS-WS and ER-ER. The best condition for the robustness study of the interdependent network is obtained. That is, the sub-network node scale NS
= NC
≥ 100 and the average degree k = 6. The conclusions obtained in this paper can provide a reference for the study of cascading failures in power, communication and other interdependent networks.
Research on the Application of Double Conditional General Advantage Nets (DCGAN) to generate Simple Background Image with Specified Hue
Authors: Yang Shuai , Bai Haicheng
Published: April 2020

Since the General Advanced Nets (GAN) proposed by Ian Goodfellow in 2014, the research on GAN has become a hot spot of deep learning. People can use GAN to generate images, but there are many problems in GAN, such as the inability to generate images of specified categories, poor model stability, and high training difficulty. Wasserstein GAN improves the disadvantages of the original GAN. Meanwhile, Conditional General Advanced Nets proposes to add condition vectors on the basis of the original GAN, so that the GAN can generate specified pictures, making the original GAN more and more easy to use. Most of the research work of GAN focuses on the real face and real scene generation, but the generation of the commonly used background image in the design is less. In this paper, we use two conditional GAN (DCGAN) and WGAN model framework to generate a simple background image of specified hue and random graphics, which can provide designers with fast and available background images in some simple projects.
Analysis of Researchers’ Internal Working Network
Authors: Qin Ying , Zhang Qing , Zheng CuiFang , Tian ZhiYu , Wen Yong , Chu XinKun , Zhang Hao , Zhou YingPing , Zhang Hao
Published: April 2020

In this paper, we adopt social network analysis technology to construct the working network of the scientific research personnel, working in the isolated network environment of a military research institute, based on the integrated edge data obtained by processing three groups of work records including emails, meetings and travels, and then we complete the calculations of indicators including Degree centrality, Closeness centrality, Betweenness centrality and Eigenvector centrality. Finally, we evaluate the performance of scientific research personnel, explore the working relationship between them, and find out who is working abnormally, which provides a new method for staff appraisal.
CoolStreaming and Gossip Algorithm in P2P Service Networks
Authors: Feng Weiqi , Liu Lei
Published: April 2020

In recent years, peer-to-peer (P2P) as a new network application model has become more and more popular for its scalability, high fault tolerance and other outstanding advantages. The main feature of P2P technology is to ensure the network resources distributed on terminal computers, including computing resources, bandwidth resources, content resources, etc., are fully utilized to reduce the consumption of central server resources. This paper analyzes the performance differences of nodes in P2P networks from many aspects, such as available bandwidth, online time and storage space. Based on this mechanism and with the idea of mission algorithm, the data distribution efficiency of this algorithm is significantly improved compared with the classical mission algorithm, which can ensure the minimal network load and achieve the efficiency of flood data distribution strategy.
Optimizing Hash Strategy to Avoid Birthday Attack
Authors: Zhao Yiou
Published: April 2020

It is necessary to optimize hash codes to prevent birthday attacks. First of all, it is necessary to know what hash codes are, what birthday attacks are, and how to attack them. In this article, there are two ways to avoid birthday attacks: enlarge hash space andselection of magic number. After the implementation of different code and different magic number selection, the most stable and secure one will be chosen.
Improved Impossible Polytopic Attacks on Round-reduced DES
Authors: Wang Jing , Wu Qianqiong , Fu Chaohui , Zhou Guomiao , Duan Ming
Published: April 2020

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.