bluuebunny/crossref_metadata_2025_split huggingface dataset:
Localization and Navigation Analysis of Mobile Robot Based on SLAM
Authors: An Juan , Mou Hairong , Lu Rui , Li Youbing 
Published: March 2021

Abstract
In recent years, many advanced computer technologies have appeared on the market, for example, artificial intelligence. With the maturity of artificial intelligence technology, the transformation of intelligent robots are also more perfect. The difficulty that we have always wanted to break through is to install positioning navigation on mobile robots. Through continuous efforts, the navigation and positioning technology on the robot can now be used proficiently in a known environment, but we need further research when using it in an unknown environment. In the navigation and positioning technology, it introduced simultaneous positioning and map construction algorithms (SLAM, simultaneous localization and mapping). The algorithm can learn about the surrounding environment information through the sensors carried by the robot. If this algorithm can be skillfully applied to navigation and positioning technology, I believe it will be helpful for the application of positioning and navigation technology in unknown environments.
A method for defining rule elements based on civil aircraft interface development process
Authors: Zhang Jiejing , Zhang Xinyu , Zhang Xinai , Guo Dake , Li Haomin 
Published: March 2021

Abstract
In the process of civil aircraft design and development, interface definition is a very important and complex process element. In this paper, a rule element definition method based on civil aircraft interface development process is proposed, and the rule element definition to support the interface development process is given. Rule elements provide useful input on structure and content for civil aircraft interface definition activities, especially for low-level interface definition activities. All levels of an interface definition can be related to rule elements, but lower-level interface definitions have the greatest amount of data, and most of the definitions are done in lower-level interfaces. For the design activities of the stakeholders in the low-level interface development process, these rule elements are equivalent to the formulation of multi-dimensiona and unified standards and requirements, so that the stakeholders of interface definition (main manufacturer and suppliers at all levels) can carry out coordinated interface development activities under such standards and requirements.
Airborne Software Data Coupling and Control Coupling Analysis
Authors: Hua Hui , Zhang Xinai , Zhao Yi , You Ran 
Published: March 2021

Abstract
As a part of software structural coverage, the data coupling and control coupling analysis help to evaluate the implementation of requirements and the code quality to some extent. This paper researches the data and control coupling definitions, analysis methods and the differences of requirements between DO-178B and DO-178C, thus providing reference for airborne software verification.
Research on the Feasibility and Distribution Mode of Urban Logistics Distribution by Rail Transit
Authors: Yue Shuai , Wang Yabin , Zhao Mei , Liu Yuehe 
Published: March 2021

Abstract
In modern economic and social development, rail transit is the lifeblood of new urbanization and high-quality development in urbanized areas. As a core element of economic development, logistics plays an increasingly obvious role in promoting economic transformation and high-quality development. Under the normalization of epidemic prevention and control, expand the comprehensive logistics distribution system and focus on the deep integration of urban rail transit in densely populated cities. It is very necessary to promote the extension of the supply chain and improve the quality and efficiency of urban logistics distribution.
Design of the stringer end of the composite centre wing lower panel in the plug-in butt joint form
Authors: Yuan Xinhao , Li Qiming , Gong Dezhi 
Published: March 2021

Abstract
The outer wing and the central wing of the aircraft are butted at the wing root through rib 1. The load transfer in the connection zone of the wing root is complex. In the plug-in butt form, additional bending moment will be generated, which is the most prone to damage. Based on the analysis of the force transmission in the butt joint area of the wing root, combined with the test data, this paper proves that the main failure mode of the composite central wing lower panel is the delamination failure of the stringer web at the end, and suggestions for optimal design are proposed.
A Review on Mechanical Properties of Inorganic–Matrix EBR System
Authors: Yao Jitao , Ma Pengfei 
Published: March 2021

Abstract
With a large number of important and commemorative historical buildings in the maintenance and reinforcement of the increasingly stringent requirements, the role of inorganic–matrix EBR reinforcement system in the existing masonry structures reinforcement is also increasingly concerned. In this paper, the mechanical properties of textile, mortar and composite materials are compared and analyzed, and the influence of different parameters on the test results is discussed. The results exhibit that the strength range of each material is obvious. For textiles, the tensile strength ranges from 1120 MPa to 5800 MPa, and the elastic modulus ranges from 55.6 GPa to 276.6 GPa. For mortar, the compressive strength is from 12.3 MPa to 80 MPa, and the elastic modulus is from 6 GPa to 39 GPa. In addition, the cracking process of composite specimens can be divided into three stages: un-cracked, crack development and cracked. All kinds of test results can not be compared with the same standard and conditions, due to the significant differences in specimen designs and loading methods, which provides the research direction for the next stage of test and theoretical analysis.
Airborne Software Change Control Process and Strategies of Civil Aircraft
Authors: Zhao Chen , Chu Yi 
Published: March 2021

Abstract
In the modern civil aircraft, the number and complexity of airborne software are increasing rapidly. The software may change at any stage of the development process and the change process should be under control. This article analyzes the basic unit of software change control and the configuration identification used for airborne software, then introduces a process and strategies of software change control for civil aircraft.
Science Popularization-oriented Art Design of Interactive Installation based on the Protection of Endangered Marine Life-the Blue Whale
Authors: Liu Jiahe 
Published: March 2021

Abstract
In today’s world, marine pollution is becoming more and more serious, and the protection of marine ecosystems and endangered marine organisms has become an important international issue. In 2012, the blue whale was officially listed on the IUCN Red List of Threatened Species. As the top predator in the ocean, blue whales are seeing a drastically decreasing population, which will break the ecological balance of the region. The interlocked food chain in the ocean means it would eventually lead to the forming of an “ocean desert”. Therefore, it is urgent to start the popularization of science to protect the endangered marine organisms for the public. Based on human-computer interaction and sound visualization, the author designs an interactive installation with the theme of “The Last Whale Sound”, aiming to increase the public’s attention to endangered marine organisms, to arouse people’s self-reflection and environmental awareness, and to make the public consciously participate in protecting marine ecosystems.
Combining AI with Corporate Governance to Enhance Operational Efficiency of Universities
Authors: Lin Chien-Cheng , Huang Ya-Yuan , Zhang Jia-Qi , Chang Shih-Feng 
Published: March 2021

Abstract
Since the 21st century, more and more attention has been paid to the education of college students in our country, and the curriculum reform has been actively carried out. It is necessary to cultivate students’ core quality and improve their ability to adapt to society and self-learning. Under the new situation, universities should constantly reform, update their teaching concepts, adopt the latest teaching equipment and ideas, readjust their teaching methods and plans, and provide reference for the future. According to relevant research, the administrative system of universities affects the cultivation of students’ quality and ability to a certain extent. This paper combines AI and corporate governance to explore the influence of the administrative mechanism on the operation of universities under the new situation, and puts forward some solutions and suggestions.
Learning-based Buffer Starvation Modeling for Packets Prefetching Strategies of Video Streaming Services
Authors: Su Yu , Wang Shuijie , Cheng Qianqian , Qiu Yuhe 
Published: March 2021

Abstract
Improving the quality of experience (QoE) of video streaming is a significant task in the wireless network scenario. Buffer starvation in the transmission process will cause playback freeze, and a certain number of packets must be prefetched before the service restarts. Taking into account the shortcomings of buffer in video streaming services, this paper proposes a deep learning-based starvation probability calculation model and a reinforcement learning-based packet prefetching model. The deep learning approach extracts the correlation between different timing inputs through the recurrent neural network module to return an explicit result and the precise distribution of the number of buffer starvation. The reinforcement learning approach leverages a better trade-off between start-up/rebuffering delay and buffer starvation by adjusting the packet prefetching strategy, so that the long-term objective quality of experience (QoE) of the video stream is optimized. Our framework can be applied to actual scenarios including finite video streaming and long video streaming transmission.
Implementation and Optimization of Data Prefetching Algorithm Based on LLVM Compilation System
Authors: Chai Yunda , Chen Mengyao , Li Jianan , Han Lin 
Published: March 2021

Abstract
In order to reduce the problem of mismatch between high-performance processors and DRAM speeds, current processors have added a cache structure, but the low cache hit rate also seriously affects the actual performance of the program. Data prefetching technology can alleviate the problems of memory access latency and low hit rate caused by the speed difference between high-performance processors and DRAM. Based on the LLVM open source compiler, this article first implements the data prefetch module on the Shenwei platform. This paper improves the prefetch distance algorithm, proposes a new prefetch scheduling algorithm, introduces a cost model to evaluate the prefetch revenue, and accurately determines the insertion timing of the prefetch instruction to improve the cache hit rate. SPEC2006 performance test results show that after optimization, Shenwei 1621 processor single-core can achieve a maximum performance improvement of 50%, and an average performance improvement of 11%.
A review of action recognition based on Convolutional Neural Network
Authors: Jiaxin Yang , Fang Wang , Jieru Yang 
Published: March 2021

Abstract
At present, the development of video action recognition is very rapid in many fields, such as video understanding, intelligent monitoring, and human-computer interaction. However, there are some challenges in the development of action recognition, and researchers have tried to put forward some explorations. Convolutional neural network (CNN) is applied to action recognition, which improves the performance of action recognition. It is divided into 3 methods in this paper. In addition, C3D, Two-stream and I3D, three classic CNN algorithms, are reproduced. And their recognition rates are 72%, 78.0% and 97.6% respectively on the UCF101 dataset.
The Study of Graph Convolutional Network for Activity Recognition
Authors: Zhu Yanrui , Ren Yuxin 
Published: March 2021

AbstractGCN is an excellent single-modal machine learning model for processing non-Euclidean data, such as skeleton data. Conventional GCN only uses single-modal data as its input. When we have multiple modal data, the application of GCN will be limited. To utilize multi-modal data advantages, we propose a method to combine GCN and LSTM to extract skeleton feature and acceleration feature, respectively. To test our method, we did a lot of experiments on Cooking Activity Dataset.
LCSSA optimization for vectorization recognition rate improvement
Authors: Chen Mengyao , Chai Yunda , shang Jiandong 
Published: March 2021

Abstract
LLVM converts the loop to LCSSA during the loop transformation process. The loop of LCSSA has better locality and can facilitate other optimizations of the loop, but at this stage LLVM does not support some special LCSSA loops in the automatic vectorization process, in the case of external use of non-array and non-inductive variable instructions in the loop, automatic vectorization cannot be performed, which makes the compiler lose some optimization opportunities for automatic vectorization. In response to this problem in LLVM, this paper proposes an algorithm to reconstruct PHI nodes. By adding new basic blocks, reconstructing the value of PHI nodes to eliminate the influence of external use in the loop on automatic vectorization, so that the loop can be automatically vectorized. Improve LLVM’s automatic vectorization capabilities. Through the test on the TSVC test set, the vectorized recognition rate has increased by 23%.
The Framework Design of the Construction of a Comprehensive Information Management Service Platform at the Township
Authors: Yu Zhang , Pei Qiao , Xitao Huang , Liyuan Xiao 
Published: March 2021

Abstract
This article makes full use of geographic information and other industry thematic data, builds a township-level database and informational integrated management service platform, develops mobile APP and multiple characteristic applications, and deeply promotes the guarantee service of geographic information at the township level (sub-district office) and below, helping rural revitalization, building beautiful villages, deepening the promotion and application, and forming a township information service system that integrates government decision-making, department management, and public application, in order to promote grassroots information management, improve grassroots human settlements, scientific planning and construction, strengthen ecological and environmental protection services to provide useful references.
To explore the mechanism of action of Irpex lacteus treatment of hyperuricemia from the perspective of network pharmacology
Authors: Hongshi Bu , Xiaohuan Li , Junze Liu , Wang Renguang , Wang Shumin 
Published: March 2021

Abstract
Objective: To explore the active ingredients and mechanism of Irpex lacteus against HUA (hyperuricemia) by using network pharmacology and molecular docking technology. Methods: Through literature search and collection, drug-like screening, target prediction, construct a target library of chemical components related to Irpex lacteus; search and construct HUA disease target library through disease database. The PPI network of the crossover gene between the components of Irpex lacteus and HUA was constructed using STRING and Cytoscape; the GO function enrichment analysis of the crossover genes and the enrichment analysis of the KEGG signaling pathway were realized through the Metascape database; the purpose of the “target-signal pathway” network was to analyze its specific mechanism of action; molecular docking to verify the binding ability of the main active ingredients and key targets. Results: 56 active ingredients were screened, the core target of PPI network mitogen-activated protein kinase 3(MAPK3), mitogen-activated protein kinase ’(Mitogen-activated protein kinase 1, MAPK1), etc.; involved 1387 GO biological processes, 48 cell components, and 113 molecular functions; signaling pathway involved AGE-RAGE signaling pathway in diabetes complications, PI3K-Akt signaling pathway, IL-17 signaling pathway, etc; molecular docking results show that the core component tremutins A/C/E had good docking activity with each target. Conclusion: The related products of Irpex lacteus can treat HUA through multiple components, multiple targets, and multiple pathways, which could provide reference for further research and development.
A Slow-Motion Detecting Algorithm using High Order Statistic Approach
Authors: Fuqing Yuan , Lu Jinmei 
Published: March 2021

Abstract
Motion detection is vital for consumer electronics and the Internet of things (IOT). For a scenario where the motion is slow and gentle, the resolution of the motion sensor is critical for the detection, while the algorithm development is another critical issue to differentiate the motion signal from noise measurement. This paper investigates the feasibility of using higher order statistics kurtosis as a motion indicator. Statistical hypothesis test has been developed to assess the motion presence. Several experiments are conducted to test the feasibility and performance of the approach. The results show the approach is feasible, but with some limitations.
Application of Collaborative Representation in Audio Signal Recognition
Authors: Huang Qun.Feng. , Li Xiao.Jiang. 
Published: March 2021

Abstract
Feature extraction and classifier design are the main problems of acoustic signal recognition algorithms. In this paper, we extract the mel-frequency cepstral coefficients of the acoustic features of vehicles in complex scenes. Collaborative representation is introduced for the design of a classification scheme (Collaborative Representative Classification, CRC), which synthetically considers the relationship among samples. Experiments show that the proposed algorithm produces good performance in vehicle recognition for the case of a complex data set. Compared with other classification algorithms, the method improves the precision of recognition.
Speaker recognition method for short utterance
Authors: Guo Miao , Yang Jiaxiong , Gao Shu 
Published: March 2021

Abstract
Speaker recognition is a technology that uses identity information in the human voice for identity recognition, which owns many advantages in convenient information gathering, low gathering cost and high recognition accuracy. However, the difficulty in gathering messages within short utterance declines the voiceprint recognition function rapidly. We propose a recognition model based on SincNet in the aim of obtaining enough feature information in short utterance. The model used a set of learnable Sinc-based filter banks to extract feature directly from primordial voice in featured extraction layer, which enabled neural networks to discover more valuable voiceprint information; In the pooling layer, we designed the pooling method of dual attention mechanism, which combined multiple self-attention mechanism and self-attention mechanism to enrich the feature information and enhance the differentiation degree of key features so as to solve the defect of short speech with less information; choose ArcFace as the loss function, which can maximize the classification limit in the Angle space, thus improving the classification ability of the model. Experimental results demonstrate that the proposed model performs better than the benchmark model.
The Application Status and Promoting Strategy of Computer Technology in Accounting Office
Authors: Wang Fang 
Published: March 2021

Abstract
In the process of rapid development of computer technology, the application of computer technology in many fields has become more and more common. The application of computer technology in the process of corporate financial and accounting office is beneficial to improve the efficiency of financial and accounting office and ensure the quality of accounting office. Enterprises not only need to strengthen the research work on the application of computer technology, but also put forward effective measures for the application of computer technology in the accounting and office process. Only by improving the application level of computer technology can it truly play its positive role in the accounting and office system.
A Noval Fuzzy Financial Investment Algorithm based on Combinatorial Entropy Value Method
Authors: Guan Yujie , Liu Jianbo 
Published: March 2021

Abstract
According to the multi-objective and multi-decision problem of traditional financial Investment, a Financial Fuzzy Investment model based on Combinatorial Entropy Value Method is proposed. The company financial index system and index calculation model are constructed, an improved entropy method is proposed to calculate the index weight value, which can comprehensively consider the influence of historical evaluation data and current evaluation data, and the fuzzy membership function for investment satisfaction is proposed. Finally, an example is used to verify the effectiveness of the Investment model.
PCB Electronic Component Defect Detection Method based on Improved YOLOv4 Algorithm
Authors: Xin Haojia , Chen Zibo , Wang Boyuan 
Published: March 2021

Abstract
In an era of information, people’s demand for electronic products is greatly increased. As an important part of electronic components, Printed Circuit Board (PCB) has a huge annual output and a variety of sizes and types. Therefore, the traditional method of manually detecting PCB defects may fail to meet the required production standards due to the high error rate. With the development of deep learning, a batch of PCB defect detection models combined with deep learning have been produced, which improves the detection efficiency. However, there are still some problems in these methods, such as low automation degree, low detection degree, and poor stability. This paper proposes an improved algorithm, based on YOLOV4, which uses PCB defect data set released by the Intelligent Robot Laboratory of Peking University, and has abundant images of different defect types, which greatly increases the reliability of the model. By analyzing the feature distribution of CSPDarkNet53 structure layer and the detection target defect size distribution in the data set used, in the data pre-processing and input stage, the image is automatically subdivided according to the average size of the callout box of the detection image, and the probability of anchor containing detection target is increased. Experimental results show that the improved YOLOV4 algorithm has a mean Average Precision (mAP) of 96.88%.
Novel Privacy Preserving Classification Mining Approach Applied to A City Public Security Big Data Analysis
Authors: Zhang Zhengqi , Wang Jian 
Published: March 2021

Abstract
With the development of the big data analysis technology, more and more companies are willing to apply this technology. In order to further promote the big data investigation teaching of Sichuan Police College, we accurately grasp the new situation, new tasks and new requirements faced by the big data investigation, and further deepen the solidification of the implementation path. Through on-the-spot visit, discussion and communication, we will focus on understanding the application technology of big data, extend it to various work of public security organs’ attack, prevention and control. Then we want to promote the establishment of practical application systems, and promote the fundamental change of criminal investigation mode through the construction of big data.