bluuebunny/crossref_metadata_2025_split huggingface dataset:
A learning method to optimize depth accuracy and frame rate for Time of Flight camera
Authors: Chen Yan , Qian Keyuan , Cheng Xuanye , Zhou Jingkun 
Published: August 2019

Abstract
Time of Flight cameras attracts increasing attention due to their ability to robustly predict depth values of the scene. The principle of actively emitting modulated signals and receiving sampled signals causes that the artifacts generated by motion blur seriously affect quality of imaging and the power consumption of the light source. The problem of shorter exposure time is that the raw measurements have a lower signal-to-noise ratio. Reducing the four frames of raw measurements for depth reconstruction to two frames can make it difficult to effectively suppress noise from the background infrared signal and capacitive components. However, shorter exposure time and reducing four frames of raw data to two frames will greatly reduce the motion blur of the time-of-flight camera with a higher frame rate and lower power consumption. We propose a method based on deep learning and make it possible to reliably recover the depth information even under extremely low signal-to-noise ratio and the noise of electronic components for alleviating the motion blur problem. The experiment results fully demonstrate the reliability of our solution. Our algorithms and data will be published in the future.
Control design of a gyro-based wave energy converter for autonomous underwater vehicle
Authors: Hou Puyue , Liu Li , Guo Liming , Zhou Yuying 
Published: August 2019

Abstract
Autonomous Underwater Vehicle (AUV) is an intelligent machine that works at hazardous underwater environment. It can only operate for hours or days at a time by battery charging system. This paper presents a new gyroscopic charging system to reform the traditional way. The new system utilizes the gyroscopic effects of a large rotating flywheel in combination with a controlled power take-off device to extract power from wave motion. In this paper, a gyroscopic energy converter model is given, which contains a description of dynamic equation and controlling design. Consequently, a detailed process of applying the gyroscopic system to a typical AUV is shown. The gyroscopic charging system promises to reduce AUV battery requirements negating the necessity to carry sufficient energy reserves (size and weight) for entire missions, reduce costs by freeing support vessel time (a major cost component in AUV deployment) and enable AUVs to be remotely and renewably recharged at sea, indefinitely extending missions. Software simulation is the main method to prove the validation of the results. The results show that the generated power is sufficient to provide power for AUV which is better than the battery charging system.
Design of head-pursuit guidance law based on sliding mode control
Authors: Zhu Chenqi , Mu Dejun 
Published: August 2019

Abstract
This paper proposes a new head-pursuit guidance law based on sliding mode control to intercept hypersonic vehicle in terminal phase. In order to alleviate chattering phenomenon caused by sliding mode control and ensure the convergence speed, the combination of linear sliding variable and fast power reaching law is adopted. Furthermore, an adaptive sliding mode guidance law is designed for solving the problem of unknown upper bound of the disturbance. Also, these algorithms are proved by the theoretical perspective based on finite-time convergence theory. Finally, numerical simulations are presented to illustrate the correctness and effectiveness of the methods.
XSS Attack Detection and Prevention System Based on Instruction Set Randomization
Authors: Wang Qijin , Huang Jun , Qi Xiaoxia 
Published: August 2019

Abstract
As one of the most popular security vulnerabilities in Web applications, XSS has been widely researched and applied. This paper presents a XSS detection and prevention system aimed at solving the problem of website being attacked by increasingly sophisticated and severe XSS. The method proposed in this paper encodes the HTML/JavaScript keyword in the Web application by randomization and distinguishes the malicious attacks. The results show that this method not only can effectively detect and defend reflective and storage XSS attacks, but also it has better system response.
Range-segment Motion Compensation based on Integrated INS for Wide-swath Synthetic Aperture Sonar
Authors: Zhang Yu , Zhong Rongxing , Liu Jiyuan , Wei Linzhe , Wang Peng , Zhang Pengfei 
Published: August 2019

Abstract
Motion errors have severe effect on synthetic aperture sonar (SAS) imagery if worse than a fraction of a wavelength along the entire aperture. Not only currents, but vehicle instability randomly causes periodic motion errors in the synthetic aperture and grating lobes in the SAS images as well. Displaced phase center antenna referred to as micro-navigation has been developed with multiple-receiver SAS for a long time, but still has challenges against larger motion errors. The integrated inertial navigation system comprising an inertial navigation system (INS) and other aided sensors such as a Doppler Velocity Log (DVL) and a surface ship’s Global Position System (GPS) is an unavoidable and trade-off solution to the problem of motion estimate, which is definitely more robust and reliable with the application of the multi-sensor data fusion. Besides, the motion error is variant along the slant range. For a better resolution of the wide-swath SAS, a range-segment motion compensation method based on the integrated inertial navigation system is presented in the paper. This method relies on the multi-sensor data fusion of the integrated inertial navigation system via Kalman filter and is found to significantly outperform the conventional method.
Research on the Negative Effect and Countermeasure of Multimedia Technology Teaching Application
Authors: Guangyang Xu , Li Zhou , Zhangmei  , Haiyan Yang 
Published: August 2019

Abstract
With the rapid development of information age, the emergence of various new techn ologies constantly and widely used.In the field of education teaching, useing multimedia techn ology in teaching and learning is the indispensable method and approach, but through the educ ation of modern multimedia technology applied in teaching and research. In the whole process of teaching and learning people often only pay attention to its advantages, and even exaggerati ng the role of it, but neglect its negative effects on the effect of teaching and learning. This arti cle from the multimedia teaching present situation, the multimedia teaching application such as negative effects and the reasons for the in-depth study, research and analysis, put forward the s cientific application of the principles and strategies of using multimedia teaching.
Reform and Exploration of Accounting Professional Practice Teaching under the Background of Artificial Intelligence
Authors: Guomin SONG 
Published: August 2019

Abstract
The generation of artificial intelligence has brought about tremendous changes in the traditional financial processing model, financial processing process and the duties of financial personnel, which has brought great changes to the accounting field. This change in the accounting field directly affects the transformation of the teaching ideas of higher education institutions as a training medium for high-quality applied accounting talents. Based on this, in order to meet the needs of the accounting professional education in colleges and universities to adapt to the needs of intelligent accounting talents, this paper focuses on the analysis of the problems existing in the current accounting practice teaching in the context of artificial intelligence from the perspective of practical teaching reform. At the same time, this paper explores the new direction of accounting practice teaching reform from the aspects of accounting practice teaching content, accounting practice teaching environment, accounting practice teaching staff team and accounting practice teaching evaluation system.
Modulation Recognition of Digital Signals Based on Deep Belief Network
Authors: Yunxin Guo , Yue Zhang , Hong Ma 
Published: August 2019

Abstract
A modulation pattern recognition method for digital modulation signals, 4ASK, BPSK, QPSK, 2FSK and 4FSK digital modulation signals, which is based on deep learning model of deep belief network is proposed. The modulation signal is pre-processed and its high order cumulants are calculated as input training features. Solutions to the problem that the same high Modulation signals are generated in different SNR environments. Using the semi-supervised learning characteristics of deep confidence network, data sets are obtained to train the parameters of deep Confidence network layer by layer for feature extraction and recognition of modulation modes. The simulation results show that the recognition rate of this method is ideal.
Three Calculation Methods of the WGM Cylindrical Cavity Diameter
Authors: Li Zhou , Guangyang Xu , Jiufu Chen , Lisha Wang , Yao Zhang 
Published: August 2019

Abstract
WGM mode in cylindrical cavity can be rapidly calibrated with analytical approximate formulas based on cylindrical micro-cavity WGM resonance peaks position. On this basis, the diameter of circular cavity can be calculated by applying the three methods, which are the first-order approximation method, the second-order approximation method and mode field radius. When comparing the results which are got from the three methods with the actual geometric diameter, we find that the deviation is within 3%, 2%, 1% respectively. As a result, the diameter of circular cavity can be correctly worked out by making use of these three ways mentioned.
Research on Robust Algorithm of Color Holographic Watermark Based on DCT-DWT
Authors: Li S K , Wang A L , Pang J P , Guo L , Xin K , Fan S X , Liu F P 
Published: August 2019

Abstract
Based on the DCT-DWT algorithm, a new method for embedding color holographic watermarks into color carrier images is proposed. The color watermark image and the color carrier image are divided into three channels: R, G, and B. The hologram is generated for each channel’s watermark image by a four-step phase shift method, and the hologram is subjected to Arnold transformation. The carrier image is decomposed by first-order wavelet, the watermark embedding space is changed from spatial domain to transform domain, low-frequency components are extracted and segmented, the scrambled holographic watermark images are respectively sub-channel embedded in the carrier image by discrete cosine transform. The experimental results show that the algorithm is robust and can resist some conventional attacks. In this algorithm, the watermark image is transformed into a hologram, which increases the difficulty of decryption.
Large-scale resource scheduling method using improved genetic algorithm combined with secondary coding in cloud computing environment
Authors: nan Gu Nan , yang Yao Pei , qiang Jiao Zhi 
Published: August 2019

Abstract
This paper proposes a large-scale resource scheduling method based on improved genetic algorithm combined with secondary coding. This method is used to solve the problem that traditional genetic algorithm can not meet the resource scheduling problem in large-scale cloud computing environment under multi-user. In the selective replication phase, a dual fitness function based on minimum task completion time and matching degree is used to screen the populations by double criteria. Next, the cross-mutation probability of the algorithm is adaptively optimized, and its adaptive ability is further improved, which ensures that the algorithm converges to the optimal solution as soon as possible. Finally, the improved genetic algorithm (IGA) is analyzed on the CloudSim platform. It shows that the improved genetic algorithm can be well applied to large-scale resource scheduling, and the result is better than the comparison algorithm.
Design of Location Algorithm for Marine Drone Aircraft Maintenance Base Station
Authors: Xin Guipeng , Cheng Zhaoxi , Liu Jiexin 
Published: August 2019

Abstract
In recent years, unmanned aerial vehicle Cruise search and Rescue is a research hotspot at home and abroad. Water traffic accidents in recent years have been increasing, the traditional maritime patrol is usually based on boat cruise, this mode of maritime patrol not only means heavy task, and with poor inspection effect. So UAV-based maritime cruise and emergency search and rescue system is the subject of this research. The system based on the navigation and search and rescue of two unmanned aerial protection base station, using TDMA system network technology and Wireless bridge communication technology to set up a local area network, and target water site to establish a multi-objective model, optimize the design of supporting base station location algorithm,the system realizes the unmanned, visualized and normalized monitoring and management of target waters by means of coupling the UAV, Air-base station and control terminal, and provides more detailed and accurate information for the development of cruise search and rescue work.
A Comparative Study of Financial Big Data Standard System Based on Deep Learning Algorithms
Authors: Shen Huaxia 
Published: August 2019

Abstract
The standard system of financial big data involves a wide range of contents and diversification. Financial institutions in the process of operation and social sectors constitute a huge interweaving network, precipitating a large number of data. In this context, data security is particularly important. Therefore, based on the deep learning algorithm, the author compares and studies the financial big data standard system. The in-depth learning model is introduced into the financial market and combined with the traditional statistical model to forecast the volatility of the financial market and calculate its risk value. Through the research and comparative analysis of the domestic and international financial big data standard norm system, it is found that part of the domestic financial big data standard specification is revised by reference, while the other part has the characteristics of Chinese financial market. However, there is still room for further development in terms of financial big data regulation, information security, financial enterprise big data platform construction and analytical capabilities.
Edge Detection of Depth Image Based on Contour Curve
Authors: Wu Yuzhe 
Published: August 2019

Abstract
Edge is one of the most important features of an image because it recognizes the world through images and understands the position and contour of objects in images through edges. Edge monitoring of depth image is the basis of object recognition and location. The contour curve calculates the feature points and maps them to the original contour space. The original contour is matched by a sequence of markers. At the initial stage of recognition, the dissimilar targets and different gestures are eliminated quickly. The candidate list of targets is generated for accurate matching to improve the recognition efficiency. The curve is a nonlinear extension of the first principal component, emphasizing the search for the “middle” through the distribution of data, starting from an arbitrary point of the image, estimating the pixel points near the point and obtaining the gradient value. If the point satisfies the characteristics of the edge point, then the point detour depth traverses to find edge points that are perpendicular to the direction of the gradient and marks the visited points. And satisfy the self-consistent smooth curve without parameters, these curves give an overview of the data. Determine the degree of approximation; when the judgment has converged to the target contour, continue to converge and penetrate the concave area of the target contour.
Design of Data Acquisition System Based on LPC2368 and PoE+ Technology
Authors: Liu Kai , Wang Xinghai , Zhang Jie 
Published: August 2019

Abstract
In order to overcome the cumbersome connection in the traditional data acquisition system and the additional design of the power supply system, this paper proposes and designs a large-scale distributed data acquisition and power supply system based on LPC2368 and POE technology. The data processing subsystem of the system is based on LPC2368 as the core microprocessor; the chip supports a variety of serial protocol interfaces and is widely used in the development of IoT terminals; in view of the particularity of data transmission, this paper designs a stable and reliable communication handshake protocol between the host computer and the terminal; the power subsystem adopts the PoE+ power supply mode. The network cable realizes the power supply to the data collection node. The advantage of this method is that it can realize functions such as remote power management and remote working state switch. After actual verification, the data acquisition system designed in this paper runs stably and can meet the actual engineering requirements of distributed data collection and complicated power supply requirements.
Explicit multi-time step computing method in the form of non-integer step ratio
Authors: Ma Zhiqiang , Lou Yunfeng , Jin Xianlong 
Published: August 2019

Abstract
Due to the requirement of stability, the time step in explicit dynamics must be small enough. This inevitably leads to a waste of computing time to adopt a unified time step for dynamics models with partial refined mesh. Multi-time step or subcycling method especially the integer step ratio is a classical method to deal with these problems. An explicit non-integer ratio multi-time step computing method is proposed in this paper. The finite element model is divided into different subdomains by node partition and the coupling region is formed by multiple overlapping boundary nodes according to the step ratio between adjacent subdomains. Each subdomain chooses explicit integration time step according to mesh characteristics. Non-integer step ratio is used among adjacent subdomains. The method provides a new implement for explicit finite element analysis.
Research and Design of Intelligent Management Platform for Ship Oil Spill Emergency Equipment Depots Based on Internet of Things
Authors: Liu Siyu , Nan Xia , Li Sihan , Tao Jinpeng , Zhou Chunhui , Wen Yuanqiao 
Published: August 2019

Abstract
Due to the low efficiency, informatization and decision-making ability of the traditional ship oil spill emergency equipment depots, an intelligent management platform for ship oil spill emergency equipment depots based on the Internet of things technology is proposed. The paper designs an intelligent management platform for the ship oil spill emergency equipment depots, which adopts the idea of modular design, constructs from the aspects of framework structure, platform function, and technical route. The platform could realize intelligent dynamic tracking and management of the entire process of equipment entering, storing, using, maintaining, and exiting the depots, which can greatly improve the level of informatization of equipment depots, the management efficiency of ship oil spill emergency equipment depots, the accuracy and speed of equipment operations and emergency response capabilities.
Numerical Analysis on Shale Crack Model under Explosive Loading
Authors: Peng Y , Liu X L 
Published: August 2019

Abstract
High Energy Gas Fracturing (HEGF) technology can produce self-supporting crack network in rocks of oil and gas reservoirs under a large number of high temperature and high pressure explosive shock wave caused by explosive detonation. It is expected that the reservoir conductivity will be improved by generating the new crack channels for oil and gas flow, so as to achieve the goal of increasing oil and gas production. However, the numerical study on the crack initiation, extension and propagation of rock under blast loading is still insufficient, which plays a vital role in better understanding the mechanical performance of rocks in the HEGF process. In the present study, taking the typical shale gas demonstration area in Sichuan province as an example, the shale crack model is established, the mechanical properties of shale rock with cracks under explosive loading are studied, the evolution laws of crack propagation are analyzed, and the damage characteristics of crack tip are considered.
Construction and Application of Prediction Model of Diabetes Treatment Effect Based on Improved CART Algorithm
Authors: Qiao Yuchen , Yang Xu , Wu Enhong 
Published: August 2019

Abstract
In this research, the rehospitalisation of diabetic patients was taken as the standard to judge the treatment effect. With the help of CART algorithm improved on the basis of Principal Component Analysis, the researcher explored the relationship between multiple data involved in the diabetic treatment program and its treatment effect and built a prediction model of diabetic treatment effect. The study focused on the treatment data from 130 American hospitals. 9000 sets of data were used as the training set, and 1000 sets of data were used as the test set to generate the decision tree, and then the researcher pruned the generated decision tree. The accuracy of the newly established prediction model was greatly improved by 21% and the running time was largely reduced by 5.352s compared with the old model established on the unimproved CART algorithm. The results of the study well verified the feasibility and high efficiency of the new prediction model established on the improved CART algorithm, and provided a new idea for improving the treatment effect and efficiency of diabetes.
DSP Technology and Its Application in Fuze Signal Processing
Authors: Niu Weimeng , Fang Liqing , Guo Deqing 
Published: August 2019

Abstract
The continuous innovation of the embedded digital signal processor (DSP) brings new opportunities for the breakthrough of fuze technology, so that the weapon system can complete the detection battlefield, precise control, high-efficiency damage without changing the existing shape and volume of the fuze. This paper first introduces the advantages and characteristics of DSP chips, then summarizes the application of DSP in a variety of fuze signal processing. Finally, the development direction and application trend of DSP in fuze are prospected.
Combining Box Counting-dimension with a Fuzzy Synthetic Evaluation Model Based Quantitative Evaluation on Soil and Water Erosion of Lake Dianchi Basin, China
Authors: Li Jian , Zhang Xia , Liu Xiang , Wang Xiaojing , Wang YuXiang , Zhang Zheng 
Published: August 2019

Abstract
Considering the various influencing factors of soil and water erosion in Lake Dianchi Basin, evaluation indices of soil and water erosion involving the fractal dimension of drainage network, the fractal dimension of terrain, elevation and slope are determined. The weight values of evaluation indices are given and the fuzzy synthetic evaluation model is established on the basis of the fuzzy mathematics and information diffusion principles. As a case study, the fuzzy synthetic evaluation model is applied to quantitatively evaluate soil and water erosion of Lake Dianchi Basin. The results show that the grade of soil and water erosion is at the secondary level and the indicator value of comprehensive evaluation indicator of soil and water erosion is 1.45 in Lake Dianchi Basin. The assessment results are in good agreement with the results of previous studies. The result indicates that the method is valid and evaluation system established is reasonable, and the fuzzy synthetic evaluation model can be regarded as a reference model for the quantitative evaluation of soil and water erosion.