bluuebunny/crossref_metadata_2025 huggingface dataset:
Theoretical investigation of relaxation dynamics in the Au18(SH)14 thiolate-protected gold nanocluster
Authors: Senanayake Ravithree D. , Aikens Christine M.
Published: September 2019

Experimental findings of Au18(GSH)14 as a photosensitizer with the highest potential compared to other glutathione-protected clusters demand understanding the photophysics and relaxation dynamics of the Au18(SR)14 cluster. To this end, we perform ab initio real-time nonadiabatic molecular dynamics simulations on Au18(SH)14 to investigate its relaxation dynamics compared to the well-studied [Au25(SR)18]−1 relaxation dynamics. In this work, the excitations covering up to ∼2.6 eV in the optical absorption spectrum are analyzed to understand the electronic relaxation process of the Au18(SH)14 cluster. The ground state growth times of Au18(SH)14 are several orders of magnitude shorter than the growth times observed for the [Au25(SH)18]−1 nanocluster. The S1 (HOMO-LUMO) state gives the slowest decay time (∼11 ps) among all the states (S1–S30) considered similar to [Au25(SH)18]−1. However, the S1 state in Au18(SH)14 is a semiring-to-core charge transfer state, whereas S1 in the [Au25(SH)18]−1 cluster is a core-to-core transition. The remaining higher excited states have very short decay time constants less than 1.4 ps except for S2 which has the second slowest decay of 6.4 ps. The hole relaxations are faster than the electron relaxations in Au18(SH)14 due to the closely packed HOMOs in the electronic structure. Radiative relaxations are also examined using the time-dependent density functional theory method, and the excited state emission energy and lifetime are found to be in good agreement with experiment.
Optomechanical spring enhanced mass sensing
Authors: Maksymowych M. P. , Westwood-Bachman J. N. , Venkatasubramanian A. , Hiebert W. K.
Published: September 2019

On-chip nano-optomechanical systems (NOMS) have demonstrated a zeptogram-level mass sensitivity and are promising candidates for low-cost implementations in areas such as metabolite quantitation and chemical analysis. High responsivity and sensitivity call for substantial optomechanical coupling and cavity finesse, resulting in detuning-dependent stiffness and mechanical damping via optomechanical back-action. Since mass loading (or temperature or force change) can alter both mechanical and cavity properties, mechanical frequency shifts induced by loading can encompass both effects. Precision sensing requires understanding and quantifying the source of the frequency tuning. Here, we show the deconvolution of direct loading and optomechanical stiffness change on the mechanical eigenfrequency as a function of detuning for a nano-optomechanical sensor in gaseous sensing experiments. Responses were generally dominated by shifts in optical stiffness and resulted in a mass loading signal amplification by as much as a factor of 2.5. This establishes an alternative possible route toward better mass sensitivity in NOMS while confirming the importance of incorporating optical stiffness effects for precision mass sensing.
Quasi-antiferromagnetic multilayer stacks with 90 degree coupling mediated by thin Fe oxide spacers
Authors: Nagashima G. , Kurokawa Y. , Zhong Y. , Horiike S. , Schönke D. , Krautscheid P. , Reeve R. , Kläui M. , Inagaki Y. , Kawae T. , Tanaka T. , Matsuyama K. , Ohnishi K. , Kimura T. , Yuasa H.
Published: September 2019

We fabricated quasiantiferromagnetic (quasi-AFM) layers with alternating antiparallel magnetization in the neighboring domains via 90° magnetic coupling through an Fe-O layer. We investigated the magnetic properties and the relationship between the magnetic domain size and the 90° magnetic coupling via experiments and calculations. Two types of samples with a Ru buffer and a (Ni80Fe20)Cr40 buffer were prepared, and we found that with the NiFeCr buffer, the sample has a flatter Fe-O layer, leading to stronger 90° magnetic coupling and a smaller domain size compared with the Ru buffer sample. This trend is well explained by the bilinear and biquadratic coupling coefficients, A12 and B12, in Landau–Lifshitz–Gilbert simulations, suggesting the possibility of using both AFM and FM properties by controlling the quasi-AFM domain size.
Enhancement of terahertz emission by a preformed plasma in liquid water
Authors: E Yiwen , Jin Qi , Zhang X.-C.
Published: September 2019

Terahertz (THz) wave generation from liquids under optical excitation has been experimentally confirmed. Here, we report the observation of THz emission enhancement from liquid water with a preformed plasma. Two collinear optical beams with a controlled time delay are focused into a liquid water line. With a plasma created by the first optical pump, the THz emission generated by the second pump is enhanced significantly. By using the same total incident energy compared to the commonly used single-pump excitation, an enhancement over 8 times is observed when the prepump is s-polarized. This observation provides an alternative strategy to boost THz generation from liquids and helps to further understand the laser-liquid interaction process.
Global atmospheric oxygen variations recorded by Th/U systematics of igneous rocks
Authors: Liu He , Zartman Robert E. , Ireland Trevor R. , Sun Wei-dong
Published: September 2019

Atmospheric oxygen has evolved from negligible levels in the Archean to the current level of about 21% through 2 major step rises: The Great Oxidation Event (GOE) in the early Proterozoic and the Neoproterozoic Oxygenation Event (NOE) during the late Proterozoic. However, most previous methods for constraining the time of atmospheric oxygenation have relied on evidence from sedimentary rocks. Here, we investigate the temporal variations of the Th/U of arc igneous rocks since 3.0 billion y ago (Ga) and show that 2 major Th/U decreases are recorded at ca. 2.35 Ga and ca. 0.75 Ga, coincident with the beginning of the GOE and NOE. The decoupling of U from Th is predominantly caused by the significant rise of atmospheric oxygen. Under an increasingly oxidized atmosphere condition, more uranium in the surface environment became oxidized from the water-insoluble U
4+
to the water-soluble U
6+
valance and incorporated in the sea water and altered oceanic crust. Eventually, the subduction of this altered oceanic crust produced the low-Th/U signature of arc igneous rocks. Therefore, the sharp decrease of Th/U in global arc igneous rocks may provide strong evidence for the rise of atmospheric oxygen. We suggest that the secular Th/U evolution of arc igneous rocks could be an effective geochemical indicator recording the global-scale atmospheric oxygen variation.
Transient induction of telomerase expression mediates senescence and reduces tumorigenesis in primary fibroblasts
Authors: Sun Linlin , Chiang Jeffrey Y. , Choi Ji Young , Xiong Zheng-Mei , Mao Xiaojing , Collins Francis S. , Hodes Richard J. , Cao Kan
Published: September 2019

Significance

In the classic view, telomerase is silenced in terminally differentiated cells and its reactivation supports immortalization and unlimited growth of most cancers. Here, we determine the involvement of telomerase during replicative senescence in primary fibroblasts from mouse and human. In both cases, we find that cells that are unable to produce telomerase approach cellular senescence earlier and exhibit a significantly higher rate of malignant transformation than the control cells. Furthermore, an evident upregulation of telomerase expression is detected in wild-type control cells at the presenescence stage, which is accountable for the protection. In conclusion, this study suggests that telomerase has a previously underappreciated, protective role in buffering senescence stresses due to short, dysfunctional telomeres, thereby preventing malignant transformation.
Aspartate racemase and d-aspartate in starfish; possible involvement in testicular maturation
Authors: Shibata Kimihiko , Sugaya Noriko , Kuboki Yuko , Matsuda Hiroko , Abe Katsumasa , Takahashi Shouji , Kera Yoshio
Published: September 2019

d-Aspartate, aspartate racemase activity, and d-aspartate oxidase activity were detected in tissues from several types of starfish. Aspartate racemase activity in male testes of Patiria pectinifera was significantly elevated in the summer months of the breeding season compared with spring months. We also compared aspartate racemase activity with the gonad index and found that activity in individuals with a gonad index ≥6% was four-fold higher than that of individuals with a gonad index <6%. The ratio of the D-form of aspartate to total aspartate was approximately 25% in testes with a gonad index <6% and this increased to approximately 40% in testes with a gonad index ≥6%. However, such changes were not observed in female ovaries. Administration of d-aspartate into male starfish caused testicular growth. These results indicate the possible involvement of aspartate racemase and d-aspartate in testicular maturation in echinoderm starfish.
Binding and structural asymmetry governs ligand sensitivity in a cyclic nucleotide–gated ion channel
Authors: Ng Leo C.T. , Zhuang Meiying , Van Petegem Filip , Li Yue Xian , Accili Eric A.
Published: September 2019

Hyperpolarization-activated cyclic nucleotide-gated (HCN) channels open more easily when cAMP or cGMP bind to a domain in the intracellular C-terminus in each of four identical subunits. How sensitivity of the channels to these ligands is determined is not well understood. Here, we apply a mathematical model, which incorporates negative cooperativity, to gating and mutagenesis data available in the literature and combine the results with binding data collected using isothermal titration calorimetry. This model recapitulates the concentration–response data for the effects of cAMP and cGMP on wild-type HCN2 channel opening and, remarkably, predicts the concentration–response data for a subset of mutants with single-point amino acid substitutions in the binding site. Our results suggest that ligand sensitivity is determined by negative cooperativity and asymmetric effects on structure and channel opening, which are tuned by ligand-specific interactions and residues within the binding site.
The Requirement of Total Evidence: A Reply to Epstein’s Critique
Authors: Barrett Martin , Sober Elliott
Published: September 2019

The requirement of total evidence is a mainstay of Bayesian epistemology. Peter Fisher Epstein argues that the requirement generates mistaken conclusions about several examples that he devises. Here we examine the example of Epstein’s that we find most interesting and argue that Epstein’s analysis of it is flawed.
Active particles in geometrically confined viscoelastic fluids
Authors: Narinder N , Gomez-Solano Juan Ruben , Bechinger Clemens
Published: September 2019

We experimentally study the dynamics of active particles (APs) in a viscoelastic fluid under various geometrical constraints such as flat walls, spherical obstacles and cylindrical cavities. We observe that the main effect of the confined viscoelastic fluid is to induce an effective repulsion on the APs when moving close to a rigid surface, which depends on the incident angle, the surface curvature and the particle activity. Additionally, the geometrical confinement imposes an asymmetry to their movement, which leads to strong hydrodynamic torques, thus resulting in detention times on the wall surface orders of magnitude shorter than suggested by thermal diffusion. We show that such viscoelasticity-mediated interactions have striking consequences on the behavior of multi-AP systems strongly confined in a circular pore. In particular, these systems exhibit a transition from liquid-like behavior to a highly ordered state upon increasing their activity. A further increase in activity melts the order, thus leading to a re-entrant liquid-like behavior.
Temperature effect on the diamagnetic susceptibility of a shallow magneto-donor in GaAs/AlAs Quantum Box
Authors: Chrafih Y , Rahmani K , Janati Edrissi S , M’zerd S , Khenfouch M , Zorkani I , Najih Y
Published: September 2019

In this paper, we have studied the influence of the temperature on the diamagnetic susceptibility of a shallow donor confined to move in a quantum box (QB) made out of GaAs/Ga1−xAlxAs with a uniform magnetic field. The Hass variational method within the effective mass approximation is used in the case of finite barrier confining potential. In the calculation, we have taken account of the electronic effective mass, dielectric constant and conduction band offset between the dot and the barriers varying with the temperature. We present our results as a function of the size of the box and the magnetic field intensity. The results obtained show that the temperature and the magnetic field effects on the diamagnetic susceptibility are appreciable and more pronounced for large dot. A good agreement is obtained with the existing literature.
Evaluation of the performance of an ionization chamber cylindrical (PTW) by the ELEKTA linear accelerator: Case of pulsed radiation
Authors: El Hajami A. , Dadouch A. , Tajmouati J. , Maghnouj A. , Ali Youssoufi M. , El Baraka M. , Bardane A. , El Bekouri H. , Moussahim F. , Mribah A
Published: September 2019

The performance evaluation of cavity cylindrical ionization chamber dosimeters is the basis for the evolution of radiotherapy treatment processes. Studies focused on the statistical and physical performances of the ionization chamber dosimeter used in the radiotherapy department at the hospital oncology CHU-Fez-Morocco. This allowed having a qualitative and quantitative critical view, which is based on previous studies and works. The diagnostic of the dispersion results was calculated between measurements that were taken by the same dosimeter under different test conditions. These tests were then rechecked against two different operators. The general purpose of our study is to optimize measurement and treatment processes, with the desired level of quality according to international standards and protocols. The evaluation of this dosimeter is made by a source of pulsed radiation. This evaluation is carried out using an ELEKTA linear accelerator, using photon beams (6, 10 and 18 Mev). Experimental Results confirmed that the response of the cylindrical ionization chamber depends on several parameters, which influence the performance of the device/machine. The study reveals a total dosimeter uncertainty of the order 3.25 %, which is in the international standards. Even, this can cause an effect on the performance of the ionization chamber detector.
Review on Model and Algorithms of the Post-Disaster Relief Distribution Problem
Authors: Yin Siyang , Du Lijing , Xia Yinfeng , Ye Zheng
Published: September 2019

With the global economic development and the instability of the political structure, in recent years, the occurrence of major disasters around the world has shown an intensified trend. This paper reviews on the model and algorithm of relief distribution in emergency logistics. Systematically analyzing the present academic research on relief distribution, this paper classified researchers into four categories: Vehicle Routing Problems; Inventory Routing Problems; Location Problems; location Routing Problems. Finally, we draw a conclusion of emergency logistics and propose a new study direction of relief distribution in the future research.
A Contrastive Study of Chinese Text Segmentation Tools in Marketing Notification Texts
Authors: Zhang Xianwei , Wu Peng , Cai Jiuming , Wang Kun
Published: September 2019

It is necessary to analyze and mining marketing notification texts because there are various commercial information. The base of the operation is Chinese word segmentation. The speed and accuracy of word segmentation have important influence on the subsequent texts mining. We compared accuracy, recall, and F-value of four open-source Chinese word segmentation tools (Ansj, HanLP, Word and Jieba) on the third-party datasets. Then, we compared the segmentation speed of the four tools on one million marketing notification texts. Finally, we segmented 5, 000 marketing notification texts artificially. We evaluated the performance of these segmentation tools by the results of artificial segmentation, which are known as evaluate standard. The experiments show the Base mode of the Ansj is the fastest. The HanLP is a best segmentation tool for balancing speed and accuracy of word segmentation. After adding a custom dictionary, the effect of word segmentation has been significantly improved.
Faulty Diagnosis of Network Video Surveillance System of X Vocational Education Centre, XI’AN
Authors: Liu Junfeng
Published: September 2019

Aiming at the problems of the projects of government procurement of computer network video surveillance systems in terms of design, construction, management have been existing, this paper would found them through a survey with help of instruments, such as Network Connectivity Tester, etc. diagnosing the faults of the network Video Surveillance System of X vocational education centre in Xi’an. These problems include the faulty of network topology design, not standardized network engineering construction, material use issues and problems of not clear video surveillance images, and the author makes recommendations related to repair of the video surveillance system for accumulating experiences for improving management of government procurement project and raising the quality of network integration construction.
Personalized Resource Recommendation Based on Collaborative Filtering Algorithm
Authors: Mo Dongmin , Chen Xue-Gang , Duan Sheng , Wang Lu-Da , Wu Qian , Zhang Meiling , Xie Lanqing
Published: September 2019

Digital libraries can satisfy people’s demand for books and real-time information resources, but because digital libraries have huge resources, users cannot find the resources they need in time, at this time, personalized recommendation methods become an effective way to solve the problem. This paper takes collaborative filtering algorithm based on user recommendation as the research object, analyses the principle of the algorithm and the problem of sparse scoring data, an improved collaborative filtering algorithm is proposed, the algorithm sets scoring by borrowing time, and takes the sum of multiple user scoring as the scoring among users, then, according to the similarity of book content, the user’s scoring of non-scored books is predicted. The proposed algorithm is applied to the digital book recommendation system to obtain better recommendation performance, compared with traditional methods, and the recommendation system based on this algorithm can get more recommendation results close to the needs of readers.
User-perceived Information Visualization Method in Human Body Acupoint System
Authors: Hu Xiaomei , Miao Jiashu , Zhu Xinyu , Chai Jianfei
Published: September 2019

Information visualization is a trend and research hotspot in various fields. This paper constructs a user-perceived information visualization framework and applies it to the human acupoint system. A user-perceptual visualization method of three-layer architecture is proposed. A unified storage method and access interface are provided in the data unified layer to effectively manage data information. Then, in the user perception layer, the K-means clustering method is used to generate the expected interface of the system, which reduces the processing tasks of the subsequent visualization process. The visual implementation layer forms an actual interface for interface design such as interaction, navigation, and the like of the content of the intended interface. Finally, an application example of the acupoint system is given, which proves that the method can complete the visualization from the source data to the actual interface.
Password-based Selective Linkable Convertible Ring Blind Signature
Authors: Zhang Yulei , Song Tingting , Zhang Yongjie
Published: September 2019

Ring signature has become an important way of privacy protection because of its anonymity and the spontaneity of ring members. It has been widely used in the field of information security. Password-based alternative linkable convertible ring blind signature scheme combines the advantages of strong anonymity of ring signature and blindness of blind signature to signature message, and adds the optional linkable and convertible characteristics, which makes it more secure than other schemes, and can also transform ring signature into ordinary signature in special occasions. At the same time, under the random oracle model, the scheme satisfies the unforgeability under the adaptive selection message attack. Performance analysis shows that the scheme has high operating efficiency.
The Organization of Point Cloud Data Based on the Compact Octree Model
Authors: Tian Song , Li Xuerui , Zeng Jisheng , Wei Zheng
Published: September 2019

While using the octree model to organize a huge amount of scattered point cloud data, it is easy to generate an unbalanced tree structure. Thus, a compact octree model is proposed. It reconstructs the minimum bounding cuboid of each child node to shrink its spatial scope after each division, which effectively decreases the tree depth of scattered point cloud data. Through a series of tests, we verify the feasibility of our proposed spatial index model.
A Bio-molecular Sensor Based on Optical Weak Measurement
Authors: Xiong Nian , Wang Xiangnan , Shi Lixuan , Xu Yang , Guan Tian , He Yonghong
Published: September 2019

We developed a phase-sensitive sensor based on the optical weak measurement for label-free detection of biomolecular interaction. The weak value amplification system can be implemented in common-path with total internal reflection structure. The phase difference between p and s polarizations caused by biomolecular recognition is measured by the central wavelength shift of the frequency domain weak measurement system. Structure of p and s polarizations in common-path makes system robust and stable. The applicability is illustrated by real-time monitoring interaction of biomolecules.
The Capacity Analysis of the Orthogonal Frequency Hopping Stacked Nets in the Data Link
Authors: Chen Juan , Zheng Xueqiang , Zhang Chuankun , Xu Zhengqin , Li Aijing
Published: September 2019

The Link-16 can support stacked nets mode for the Joint Tactical Information Distribution System (JTIDS) uses orthogonal frequency hopping networking. The Link-16 can support 127 stacked nets in theory. The number of stacked nets is restricted to 20 in the United States Navy. There are few studies about the impact of the number of stacked nets to the performance. The number of stacked nets has important aspects to network design and planning of data link. Through analysing the architecture of stacked nets, the mathematical model about frequency conflict between sub-networks is established. Under different slot structure, the influences of average delivery are simulated. The simulation results can support the network programming of data link.
Construction and Security Measurement of Cybersecurity Metrics Framework Based on Network Behavior
Authors: Zhao Xiaolin , Zhao Jingjing , Jiang Xiaoyi , Zhang Xiaoyu , Zhang Wentai
Published: September 2019

Cyberspace security involves national security, enterprise security, personal privacy security and so on, which has been paid more and more attention by the state. Cyberspace security measurement is an important step to protect any network. The important premise is to establish a reasonable and universal security measurement framework for network systems. But the network is very complex, and the network security state is changing all the time. Existing information security models lack the description of network behavior. Aiming at this problem, in this paper, the existing information security models at home and abroad are compared and analysed, and their advantages and disadvantages are summarized. Based on PDR (Protection, Detection, Response) model, this paper adds management functions, and optimizes the original concept of PDR model. On this basis, we add characteristic measurement, efficiency measurement and impact measurement to form 12 indicators to dynamically reveal the evolution mechanism of security characteristics measurement indicators. AHP is used to distribute the weight of each dimension, and the network is evaluated quantitatively from four dimensions: detection, protection, response and management. The framework of the proposed metric framework is verified by experiments.
Academic Network Representation Learning Based on Metapath Tree
Authors: Zhang Wei , Liang Ying , Dong Xiangxiang
Published: September 2019

Network representation learning aims to use low-dimensional dense vectors to represent nodes in the graph, which can reflect the graph structure and can be used in a variety of machine learning tasks. The academic network contains richer information, which most of the current methods are unable to capture. This paper proposes a method to get better vectors in the academic network. This method first uses the metapath tree to guide the random walk process, and adds a sampling process to preserve multiple metapath information. The vector representation of the nodes is obtained by training using the skip-gram model on the academic network. Experiment results show that the proposed model outperforms several traditional network representation learning models in multi-label classification and clustering tasks.
Dynamic Adaptive Piecewise Linear Representation Approach Based on Streaming Time Series
Authors: Luo Wei , Zhan Peng , Zhang Qi , Ji Cun , Zheng Jiecai , Li Xueqing
Published: September 2019

With the burgeoning of IoE (Internet of Everything), massive numbers of IoT devices in extensive fields are continuously producing huge number of streaming time series. The high dimensionality and dynamic uncertainty of this kind of data lead to the main challenge on traditional time series data mining research. Accordingly, time series representation methods have been regarded as a necessary pre-processing tool to provide data support for the follow-up time series data mining research. In this paper, we propose a novel dynamic time series representation approach called dynamic adaptive piecewise linear representation (DAPLR) for streaming time series, which can automatically provide a series of piecewise linear representation results to meet the diverse needs of different users.
An Improved Fingerprint Algorithm Based on Wireless Sensor Networks
Authors: Cheng Long , Liu Ze , Feng Liang
Published: September 2019

With the wide application of positioning technology in real life, people have particularly become concerned about the improvement of the accuracy of positioning. One of the common methods to deal with such problems is wireless sensor networks (WSN). Reducing the non-line-of-sight (NLOS)error and optimizing the positioning accuracy are the main technical problem. In this paper, we propose an improved fingerprint algorithm to enhance the accuracy of positioning. The traditional k-Nearest Neighbor (KNN) algorithm has the problem of sample imbalance, which leads to the individual data directly determining the decision result. Our proposed algorithm can effectively solve the problem of sample imbalance. Simulation results and experimental results illustrate that our algorithm is superior to KNN algorithm.
Development of ERP Financial Statement Evaluation System
Authors: Zhi Yuyang , Qian Cheng , Li Caixia , Li Jimei
Published: September 2019

With the sustained development of national economy, more and more enterprises begin to transform to informatization. As an important part of enterprise informatization, ERP (Enterprise Resource Planning) makes the demand for ERP talents growing day by day. However, there are many problems in the existing ERP examination system, such as large workload, difficult to guarantee the quality of question-making, low quality of automatic marking. In financial statements, a unit grid of financial statements has both formulas and data. At present, there is no system to evaluate the formulas, which creates great difficult for automatic setting questions and marking. These problems seriously affect the quality and efficiency of enterprise’s talent selection for ERP financial statements. This system is based on Yonyou ERP financial statement module, using MVC framework, C#, SQL Server and python technology to develop ERP financial statement skills evaluation system, which mainly solves the problem that it could not automatically generate test papers and mark the papers in financial statement evaluation system at present.
Classification of H&E Stained Breast Cancer Histopathology Images Based on Convolutional Neural Network
Authors: Jiang Yun , Chen Li , Zhang Hai , Xiao Xiao
Published: September 2019

Automatic classification of H&E breast cancer histopathology images is a challenging task. Computer-aided diagnostic systems help reduce costs and increase the efficiency of the process. Although the existing research on breast cancer histopathology image classification is higher than 90% accurate in the binary classifications (non-carcinoma/carcinoma), the classification accuracy of four classifications (normal, benign, in situ, invasive) is less than 80%. This paper proposes a framework for the classification of H&E stained breast cancer histopathological images, which includes two methods based on convolutional neural network. The first method is based on the convolutional neural network structure of the SE-ResNet module, and the second method is based on the transfer learning hybrid model structure, which achieves the accuracy of 80.33% and 86.11% respectively. Compared with the state-of-the-art method, the accuracy is improved by 2.56% and 8.33% respectively. The proposed framework achieves 91.67% accuracy in binary classification and is competitive with state-of-the-art methods.
An Improved Agent Strategy Training Method Based on DIAL
Authors: Liu Runzhi , Guo Baolong , Li Qianying , Wang Biyan
Published: September 2019

The traditional multi-agent method has a slow convergence speed and needs to train many parameter groups. If no algorithm optimization is performed, it takes a lot of time to reach a large number in order to achieve optimal results in the whole process. We optimize the parameter settings in the traditional algorithm training process, accelerate the convergence speed of the intelligent body in learning, and achieve the convergence effect faster.
Image Inpainting for Digital Dunhuang Murals Using Partial Convolutions and Sliding Window Method
Authors: Chen Ming , Zhao Xudong , Xu Duanqing
Published: September 2019

It is a difficult and challenging task to restore the digital murals to a visually pleasant result, and even the result is similar to the original murals without corruption. In this paper, to address the above problem, we propose an image inpainting strategy called PCSW for digital Dunhuang murals using partial convolutions and sliding window method. Specially, a deep neural network based on partial convolutions is used as the underlying model for image inpainting. Because the murals are somewhat damaged or even large areas are missing, in addition, digital murals are large and high resolution, it is unreasonable and impractical to use the original digital murals for training and then restoring the missing areas. Therefore, a data augmentation method based on sliding window technique is applied to increase samples and then improve the model accuracy. Experimental results have shown that the proposed strategy has a certain effect on the restoration of digital Dunhuang murals.
Deep Convolutional Neural Network for Air Quality Prediction
Authors: Mao Yushun , Lee Shiejue
Published: September 2019

In this paper, we tackle air quality forecasting by using deep learning approaches to predict the hourly concentration of air pollutants (e.g., ozone, particle matter PM2.5 and sulfur dioxide). Deep learning (DL), as one of the most popular techniques, is able to efficiently train a scalable model on big data by optimization algorithms. The model is trained for air quality prediction with time series data. Our method takes the deep convolutional neural network (CNN) as the sequence module and inputs the time series data into the CNN model in turn for training. CNN is composed of many functional layers, such as convolution, pooling and ReLU. Convolution layer can effectively extract the sequential features of time series data. Sequential features work better than general features of time series data. Down-sampling in CNN is performed by the Pooling layer. Experimental results show that CNN performs well for air quality prediction.
Identity Recognition Based on Face Image
Authors: Qin Chen , Lu Xiaobo , Zhang Pengguo , Xie Huibin , Zeng Wenbin
Published: September 2019

This article is aimed at designing a human identity recognition algorithm based on face image, which will be used in indoor environment. As the working environment is set as indoor environment, the camera will not be affected much by illumination variation. The key is how to detect human face and handle the variation of facial pose. This article divides the whole recognition process into 4 parts: image pre-processing, face detection, face alignment, feature extraction and comparison. Face detection and feature extraction are the core functions and both realized by deep learning. The process of the whole algorithm can be described as following: images after pre-processing are fed to face detection network to get the locations of face and face landmarks. Then face alignment will be conducted. Finally, deep features of face will be extracted and compared. The unique features of this algorithm are its good performance of handling the variation of facial pose and its clear framework which allows the whole method can be easily adjusted and upgraded.
Binocular Vision Pose Estimation Based on PSOPF
Authors: Fei Yu , Fu Qiang , Zhuang Ying , Liu Xiang , Liao Gonglei , Zhao Qichun
Published: September 2019

In order to realize robot autonomous localization and navigation, binocular vision localization based on particle swarm optimized particle filter (PSOPF) is put forward according to the characteristics of nonlinear and non-Gaussian distribution complex system. The localization of 6-DOF robot only depends on binocular vision in the method. At first, road signs are obtained by SIFT feature matching points of binocular vision. The second, initial pose estimation is obtained by four elements. Finally, robot pose is estimated accurately by PSOPF, and the algorithm overco mes the shortcoming of particle filter (PF) and imp rove estimation accuracy. Experiment results show that this algorithm has high computing accuracy and robustness.
Research on Enterprise Risk Identification and Early Warning System based on Big Data Background
Authors: Zeng Weiyang , Jin Yining
Published: September 2019

Big data is a powerful tool which can modernize governance systems and improve governance for current public governance. Based on that, this paper discussed the research on situation of enterprise risk identification and early warning system under the background of big data. At first, the paper integrated the definitions of risk and enterprise risk management by domestic and foreign experts. Secondly, the author put forward that the development of risk identification and intelligent early warning is inevitable in the era of big data, and gave suggestions for improving the early warning system. Finally, the paper described the prospects of risk identification and early warning systems in the context of big data in the future. In summary, it is important to establish a closed-loop management chain of data security protection.
Empirical Study of the Impact of QFII Shareholdings on Board Governance and Corporate Performances ——Based on Chinese Listed Companies Data
Authors: Ren Xiaoyan , Yang Shuili
Published: September 2019

Board governance structure is introduced into this paper as mediating variables to analyze the indirect impact of QFII shareholdings on corporate operating performances. The data of QFII shareholdings ratio between 5% and 30% of Shanghai and Shenzhen A-share listed companies from 2008 to 2016 after the completion of China’s split-share structure reform are selected to carry out empirical study. Empirical results indicate that the mediating effects of proportion of foreign directors, separation degree of ownership and management right of board, president and general manager being one person or not, proportion of independent directors and senior managers’ shareholdings ratio of board governance structure are significant. However, the mediating effect of the numbers of “four committees” of board is not significant.
EMD and KPCA-based Speckle Suppression in SAR Images
Authors: Wu Chun , Ma Xiaoyan , Wang Wenbo
Published: September 2019

This paper proposes a speckle suppression method for synthetic aperture radar (SAR) images based on empirical mode decomposition (EMD) and kernel principal component analysis (KPCA) following three steps: first, SAR image after logarithmic transformation is decomposed by EMD; second, noise in each intrinsic mode function (IMF) is further removed by KPCA; finally, the denoised SAR image is obtained by accumulating the IMFs processed by KPCA. In the second step, IMF, decomposed by KPCA, is reconstructed by the selection of appropriate principle components according to noise energy proportion, which is approximately calculated based on the statistical properties of speckle noise and energy distribution model of EMD-decomposed Gaussian white noise (GWN). Experimental results show that, compared with traditional EMD-based image denoising algorithms, the proposed method is superior in both speckle suppression and detail information retention.
Research on the Construction of Smart Town Based on Artificial Intelligence Technology
Authors: Wei Wei , Lin Qian
Published: September 2019

With the gradual rise of the characteristic towns, most cities in the country are planning and creating local characteristic towns. In recent years, themes such as “Internet Plus”, “Smart Plus”, and artificial intelligence have been well known. People’s lives are full of intelligence, networking, and high-end, and intelligence has also been incorporated into the construction of characteristic towns. Based on the analysis of the background of the construction of smart towns, this paper analyses and summarizes the nine aspects of its construction, and expounds the application of artificial intelligence technology in the construction of smart towns from the aspects of industry, life and tourism, with the hope that the builders are small. In the process of town creation, the goal of building a smart town can be established, and artificial intelligence technology can be applied as much as possible.
Research on the Shunting Precision Forging of Ribbed Plate Gear Blank Based on DEFORM-3D Finite Element Analysis Under the Framework of New Engineering
Authors: Zhang Hui , Pan Aiqiong , Zhang Yanqin , Zhang Zhanling , Liu Jun
Published: September 2019

In order to solve these problems in the precision forging, such as non-saturate, folding, high energy consumption and low material utilization, a certain type motor vehicle of ribbed plate gear blank was selected as the main focus. Based on the principle of shunting and the law of minimum damping, the finite element model of shunting precision forging was established by using finite element numerical simulation software DEFORM-3D, and the temperature field, equivalent strain field and workpiece were analyzed in depth. The results show that the end faces of ribbed plate are flat and there are no folding defects at the bottom. The influence of damage and forming load on forming process and quality provide theoretical basis and technical support for shortening R&D cycle and optimizing reasonable process parameters in actual production.
Parameter Optimization of Hot Stamping for an Extension Part Based on DYNAFORM under the Background of New Engineering
Authors: Pan Aiqiong , Zhang Hui , Liu Jun , Zhou Wei
Published: September 2019

Based on the finite element analysis software eta/DYNAFORM, the hotstamping mo del of the front longitudinal beam on an extension part was established. The finite element numerical simulation of the beam was carried out by the method of thermal coupling. The effects of different stamping speed, holding time, and temperature field and friction factor on forming quality were analyzed. The results show when the stamping speed of 200 mm/s, the holding time of 6s and the friction factor of 0.4, the martensite content is relatively higher and the springback is smaller. It provides an important basis for reasonable technological parameters of ultra-high strength parts, and also provides technical support for the new engineering construction.
Analysis of Low-Altitude Airspace
Authors: Qiu Shidai , Yao Dengkai , Wang Zekun
Published: September 2019

Low-altitude airspace resources have been the bottleneck of the development of general aviation industry and one of the key factors restricting the development of general aviation in China. Through theoretical research and on-the-spot investigation, this paper constructs a low-altitude airspace resource availability evaluation index system, uses multiple linear regression method to carry out systematic analysis, and determines the index weights at all levels. Taking Jiangsu Province as an example, the present situation of low-altitude available resources in Jiangsu Province is deeply analyzed, the actual situation and a large amount of data in various regions are summarized, the influence values of various factors on the region are calculated, and finally the availability results of low-altitude airspace resources are obtained. The research results demonstrate the scientificity and effectiveness of the method, which can provide reference for the rational utilization of low-altitude airspace resources and the declaration of general aviation activity airspace in China.
The Research and Engineering Practice in Air Clearance of Valve Hall and DC Field in VSC-HVDC Converter Station with High Voltage and Large Capacity
Authors: Zhang Libin , Chen Xiangyu , Fu Shouqiang , Li Hongjian , Zhao Min
Published: September 2019

The value of air clearance is an important basis for the design of the converter station, which affects the layout and safe operation of the converter station. In this paper, the calculation method of minimum air clearance based on improved clearance shape coefficient is proposed, and the g-parameter method is used to correct the discharge characteristics of air gap under non-standard meteorological conditions. The method is applied to the valve hall and DC field air clearance design of Zhangbei ±500 kV flexible DC converter station. The Zhangbei converter station is used as a typical representative to empirically analyze the influence of temperature and humidity changes on the air gap, and we can get the temperature and humidity value when air clearance are at the maximum value, and we calculate the air clearance of different gap shape coefficients. This paper can provide method guidance and data for the selection of air clearance for other similar projects.
A DMA Interruption Mechanism for Multi-Robot Communication and Location
Authors: Zeng Xiangjin , Huang Le , Jin Zilong , Zhang Like
Published: September 2019

For multi-robot communication and positioning in lunar environment, we put forward an improved MOBUS-RTU communication networking protocol. The protocol adopts the cooperation mechanism, whichuses the sending and receiving of Direct Memory Access (DMA) and idle interruption of DMA. The data length is not limited for communication. Besides, the message is automatically stored in the cache and processed after receiving. This method greatly improves the utilization efficiency of the CPU. Finally, the corresponding communication and positioning test platform is developed based on STM32f103, which the system communication, positioning accuracy, packet loss rate and other experimental tests are carried out. The results show that the design meets the application requirements.
Application Research of Virtual Reality Technology in Landscape Design
Authors: Liu Yue , Wang Bo
Published: September 2019

With the development of virtual reality technology, its application in various fields of society has become more and more extensive. The application of virtual reality technology in landscape design is a very typical example. Virtual reality technology uses information science and technology to simulate a virtual three-dimensional space, giving people a new sensory experience in terms of sight, hearing and touch. The application of virtual reality technology in landscape design allows people to observe the landscape of three-dimensional space in an all-round and unrestricted manner, which greatly enhances the quality of landscape design, and also enables people to further understand and understand virtual reality technology. However, it should be noted that in the process of applying virtual reality technology for landscape design, virtual reality technology and information technology should be combined to achieve the purpose of three-dimensional image, three-dimensional and system integration technology integration, and then complete the landscape design task. This paper mainly analyzes and studies the application process and characteristics of virtual reality technology in landscape design and the corresponding precautions, in order to better apply virtual reality technology and landscape design.
Empirical performance of GARCH, GARCH-M, GJR-GARCH and log-GARCH models for returns volatility
Authors: Nugroho D B , Kurniawati D , Panjaitan L P , Kholil Z , Susanto B , Sasongko L R
Published: September 2019

Volatility plays an important role in the field of financial econometrics as one of the risk indicators. Many various models address the problem of modeling the volatilities of financial asset returns. This study provides a new empirical performance comparison of the four different GARCH-type models, namely GARCH, GARCH-M, GJR-GARCH, and log-GARCH models based on simulated data and real data such as the DJIA, S&P 500, and S&P CNX Nifty indices on a daily period from January 2000 to December 2017. We also investigate the estimation results obtained using Solver’Excel and verify those results against the results obtained using a Markov chain Monte Carlo method. The simulation study showed that the GARCH model is outperformed by other models. Meanwhile, the empirical study provides evidence that the GJR-GARCH model provides the best fitting, followed by the GARCH-M, GARCH, and log-GARCH models. Furthermore, this study recommends the use of Excel’s Solver in practice when the parameter estimates for GARCH-type model do not close to zero.
Synthesis of ZnO-gold nanoparticles composite using Hibiscus sabdariffa extract as reductor
Authors: Alfanaar R , Elim P E , Kesuma R F , Monica E
Published: September 2019

One of the synthesis methods currently being carried out is green synthesis. One of the efforts to implement the green method is to use plant extracts that can be renewed. Hibiscus sabdariffa is one type of plant that is able to produce anthocyanin pigments. In this study, the synthesis of ZnO composites with gold nanoparticles will be carried out using Hibiscus sabdariffa flower extract. The composites of gold nanoparticles and ZnO were determined using XRD instrumentation where there were characteristic peaks of ZnO and gold nanoparticles.