bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the Retrieval Algorithm of Speech Keyword Based on DTW
Authors: Li Zhi , Zhu Zhiyuan , Guo Jing 
Published: August 2020

Abstract
According to the query items entered by user, the speech retrieval is a data mining technology to retrieve and return the necessary results form massive audio data. In this paper, the history of speech retrieval is summarized and its necessity of studying is analyzed. On this basis, starting from the search of key words, the dynamic time regulation is derived in detail, and it is simulated by MATLAB. According to the results of MATLAB performance analysis, the optimization direction of speech keyword retrieval algorithm is explored.
Research on sparse channel estimation algorithm based on MIMO OFDM system
Authors: Xu Wei , Guo Tian 
Published: August 2020

Abstract
In the application of MIMO OFDM system, the traditional pilot-assisted channel estimation algorithm, such as LS, MMSE algorithm, does not take advantage of the characteristics of channel sparsity, which results in the reduction of spectrum utilization due to the use of a large number of pilots. Under the premise of compressed sensing, this paper uses channel sparsity to study the AMP channel estimation algorithm based on MIMO OFDM system, and introduces the principles and steps of the AMP algorithm in detail. Through theoretical analysis and simulation, it is shown that the AMP channel estimation algorithm proposed in this paper has a significant improvement in spectrum utilization and estimation performance compared with the traditional method, which is more effective and greatly reduces the calculation time.
Research on Clustering Algorithm Based on Web Log Mining
Authors: Xiang Haifei 
Published: August 2020

Abstract
People’s online business behaviour has become more and more frequent. Internet service providers are beginning to find ways to obtain the interests and hobbies of users in order to provide targeted services to users. Analysis of user behavior based on Web logs can obtain valuable information from users. User clustering based on Web logs can cluster users according to user behavior, and then analyze user access patterns, providing a good solution for problem solving. This article introduces the concept and process of data mining, the classification and process of Web data mining, and then analyzes the K-Means clustering algorithm. The class-centered algorithm avoids clustering and only obtains the local optimal solution, and it can reduce the algorithm iteration time and improve the clustering quality.
Ontology Based Semantic Understanding for 3D Indoor Scenes
Authors: Wang X H , Gao X , Zang K , Meng H J 
Published: August 2020

Abstract
A scene understanding method of combining semantic segmentation and ontology description is proposed in this paper. The method not only obtains the object of each part of the scene but also gets the relationship between the parts of the scene. Firstly, to realize the semantic segmentation of indoor scenes for 3D point clouds, PointNet is used in this paper as a tool for processing point clouds, and the S3DIS as PointNet datasets for training and testing. Secondly, in order to combine semantic segmentation and ontology, an ontology to describe the relationship between objects and scenes of the semantic segmentation result is used in this paper. Finally, we build indoor scenes ontology based on IndoorGML and use Protégé to display the spatial position ontology of the indoor scene.
A Teaching Mode of PBL for Software Engineering Course Based on Integration of Industry and Education
Authors: Yu Jiujiu , Zhang Jishan , Chen Yun , Wu Ning , Mei Yingying , Zhang Deqing , Zhu Canglu 
Published: August 2020

Abstract
Problem-Based Learning (PBL) is a teaching mode which is suitable for key courses of software engineering major in universities. Based on the concept of PBL, this study takes engineering of Anhui Sanlian University as an example, and is committed to building a feasible PBL teaching mode of software engineering course. Furthermore, further work is put forward to promote the development of the PBL teaching mode for local teaching environment.
Reverse recognition of LDPC codes based on log-likelihood ratio
Authors: Liu Ren-xin , Zhang li-min , Zhong Zhao-gen , Sun Xue-li 
Published: August 2020

Abstract
With the development of Adaptive Modulation and Coding (AMC) technology, blind identification of channel coding parameters has recently attracted more attention. To reduce the computational complexity of the closed set recognition of problem low-density parity-check (LDPC) codes, this paper improves a closed set reverse recognition algorithm based on the maximum mean log-likelihood ratio. Before using soft decision information to make a decision, the check vector is first filtered to select some check vectors to reduce the computational complexity. The experimental results show that this method can complete the inverse identification of closed sets of LDPC codes in the case of low signal-to-noise ratio. Compared with the previous algorithm, the time complexity of the proposed algorithm is significantly reduced.
Research on Design Innovation Method Based on Multimodal Perception and Recognition Technology
Authors: kan Wu , Longlong Men 
Published: August 2020

Abstract
In order to solve the problems of low efficiency and poor robustness of single-mode speech emotion recognition, this paper uses a multi-mode fusion mechanism to fuse speech and visual information across modes to build an audio-visual speech recognition (AVSR) system. The results show that the modal attention mechanism can automatically adjust to a more stable and reliable state according to the quality of a single signal, so that the audio-visual multimodal perception is accurate and the recognition efficiency is high.
Text Retrieval Technology Based on Keyword Retrieval
Authors: Huang Chunhao , Zhu Zhiyuan , Guo Jing 
Published: August 2020

Abstract
In such an era of informatization and big data where the Internet has greatly enriched the sources of information of people and changed the way they get information, search engine is widely used and it results from the combination of text retrieval and Web. Based on the research on Boolean model, vector model and probability model, this paper deduces a text retrieval algorithm using keyword retrieval, which can realize keyword retrieval of text documents in text database.
Evaluation of ELINT system effectiveness based on Grey Relational Optimization Algorithm
Authors: Qiu Risheng , Pan Jifei , Zhao Jun , Shengli Zhang , Deheng Chu 
Published: August 2020

Abstract
Aiming at the problems and shortcomings of the current electronic intelligence reconnaissance system effectiveness evaluation methods, an ELINT system effectiveness evaluation algorithm based on grey correlation optimization algorithm is proposed. The algorithm firstly combines the principle of ELINT system to build its evaluation index system. Then, based on the subjective and objective attributes of the index, the algorithm combines the G1 sequence subjective weighting method with the CRITIC objective weighting method to obtain the combined weight of each index. Finally, the improved gray correlation optimization algorithm model is used to analyze the correlation of the index value of the system under test, and the system performance is determined by comparing each distance with the optimal system. Theoretical analysis and simulation results show that the method effectively combines qualitative and quantitative analysis and is feasible in the performance evaluation of ELINT system.
Nonlinear phase compensated OFDR based on Match Fourier Transform algorithm
Authors: Muping Song , Shouwang Zhuang , Yixuan Wang , Ge Chen 
Published: August 2020

Abstract
The nonlinear phase of beat signal in Optical Frequency domain Reflectometry(OFDR) has become a bottleneck to its utilization. In this paper, a method to compensate nonlinear phase based on Match Fourier Transform algorithm(MFT) is presented. The nonlinear phase of beat signal is represented as a polynomial phase function, then the coefficients of the polynomial phase function are obtained from an auxiliary interferometer through the polynomial regression algorithm. Finally, the nonlinear phase in main OFDR interferometer can be compensated by Match Fourier Transform algorithm. The experimental results show that the method can effectively suppress the side lobe of the reflection peak and achieve a spatial resolution of 0.2m at 4.3km. The experiment results verify the effectiveness of the proposed algorithm.
Knowledge Evolution Research on Enterprise Human Resources Management Based on Knowledge Mapping
Authors: Bin Liu , guang Ma , Hong Jiang , Jigui Zheng 
Published: August 2020

Abstract
In this paper, the knowledge mapping based enterprise knowledge system is analyzed objectively, and some problems and deficiencies in the current enterprise knowledge system are studied and found. Meanwhile, we make most use of more effective human resources implementation plan and human resources management to achieve optimization and improvement on the current enterprise knowledge system. Thus, we come up with KM-HS knowledge evolution models of enterprises based on human resources in order to provide construction of enterprise knowledge system with detailed methods. On this basis, the paper emphasizes on knowledge acquisition, mapping construction, knowledge mapping benchmark analysis and human resources implementation plan to offer methods and references for enterprises relying on human resources management knowledge evolution of knowledge mapping.
Summary of continuous action recognition
Authors: An Jiahui , Cheng Xinrong , Wang Qing , Chen Hong , Li Jiayue , Li Shiji 
Published: August 2020

Abstract
In the field of human-computer interaction, it is very important for computers to understand human behaviors, so human action recognition is of great significance. But in the current action recognition work, most of them are for the segmented action data. Compared with this, there is less research on continuous action recognition. Therefore, this paper summarizes the research on continuous action recognition, and elaborates on action feature extraction, action classification, and continuous action segmentation.
Internal Control, Financial Flexibility and Corporate Performance – Based on empirical analysis of listed companies in information Technology industry
Authors: Gu Yangyang , Yuan Fangying 
Published: August 2020

Abstract
This paper takes non-ST and non-* ST listed companies in information technology industry from 2015 to 2018 as the research object, analyzes the relationship between financial flexibility and corporate performance, and further studies the relationship among internal control, financial flexibility and corporate performance. Research shows that financial flexibility has an inverted U-shaped relationship with corporate performance, that is, within a certain range, financial flexibility promotes corporate performance, but beyond this range, financial flexibility is not conducive to the improvement of corporate performance. Internal control has a positive adjustment effect on the relationship between financial flexibility and corporate performance.
Research of Application of Artificial Intelligence in Preschool Education
Authors: Nan Jiang 
Published: August 2020

Abstract
At present, preschool education has been included in China’s compulsory education and has become an important part of China’s basic education. With the continuous development of information technology, kindergartens in some coastal areas have begun to apply artificial intelligence technology to the daily teaching. The use of artificial intelligence technology for teaching can not only improve children’s enthusiasm for learning but also help the reform of preschool education institutions. In view of this, the article mainly analyzes the application of artificial intelligence technology in preschool education, and proposes corresponding solutions to the problems in artificial intelligence education and teaching.
Using AI to Analyze Relationship between Employment Discrimination and Interview Decision
Authors: Wu Guo-An , Chang Shih-Feng , Xu Dong-Mei , Huang Min-Qi 
Published: August 2020

Abstract
Employment equality means not only the rational allocation of talents, but also the stability and progress of society. In the process of job-searching, graduates will inevitably be restricted by non objective factors and miss the position they like. Therefore, this paper makes an in-depth study on the relationship between employment discrimination and interview decision. First of all, this paper introduces the background of employment discrimination, and then through literature analysis, selects three factors that exist in the real employment discrimination of college students in the process of job-searching as the research content, which are gender, education level and appearance, and defines the concept of employment discrimination. Next, it makes a comparative study at home and abroad, and analyzes the causes of employment discrimination. Then, the theoretical model suitable for this study is constructed and it uses questionnaire survey to collect first-hand data from college students and enterprise recruiters to explore how employment discrimination factors affect interview decision. Finally, through questionnaire data analysis, three influencing factors, including gender, education level and appearance, are found to have a positive correlation between employment discrimination and interview decision.
Study on Detection of Public Opinion and Its Methods in We Media
Authors: Xiang Dawei , Wu Yanbo , He Shan 
Published: August 2020

Abstract
In the era of We Media, the timely and comprehensive monitoring of online public opinion by means of computer technology has become an urgent necessity. The paper first discusses the new changes of online public opinion brought by We Media, then proposes strategies for monitoring and managing online public opinion, and finally introduces the design idea of the online public opinion monitoring system based on Web Crawler and Lucene.
Research on Fake Data Injection Attack Detection in Intelligent Ship Power System
Authors: Wang Ganlong , Zhu Jun 
Published: August 2020

Abstract
The application of computers in marine power systems is becoming more and more extensive, and the network security of marine power systems has become an important part. This paper studies the false data injection attack (FDIA) of the ship’s power information physical system. First, it analyzes the objectives and principles of the FDIA attack from the perspective of the attacker and the possible consequences on the power grid. From the technical point of view, it studies two aspects of FDIA attacks, analyzes and summarizes various methods in detection and defense. The FDIA defense model based on deep learning is proposed, and on this basis, the measurement points that need to be protected are confirmed according to the importance index Ik. And its index is applied to the established fake data injection attack detection model based on deep learning, and the accuracy of the two traditional fake data injection attacks is compared. Experiments show that the accuracy of this model is increased to more than 90% compared with traditional algorithms, which can effectively enhance the defense capability of the ship’s power system against FDIA.
Research on Adaptive ISOMAP Algorithm and Application in Intrusion Detection
Authors: Liu Xiang , Ma Peng , Li Gaoming 
Published: August 2020

Abstract
In view of the low accuracy and many redundant attributes in the detection algorithms, an intrusion detection algorithm based on adaptive Isomap is proposed. The algorithm uses the sparse representation theory to adaptively select the neighborhood of data points. Then the sparse coefficients are used as the distance weight to improve the data discrimination ability. Finally, the improved isometric feature mapping algorithm is introduced to the intrusion detection as the feature extraction module. The algorithm not only overcomes the difficulty of manual parameter adjustment, but also has strong robustness. Experimental results show that using this method to extract intrusion detection features can effectively improve the detection accuracy, and at the same time improve the detection accuracy of Probe, U2R, R2L.
Data preservation in pressure measurement
Authors: Filip Dziubek Kamil 
Published: August 2020

Abstract
Suggestions concerning practical pressure scales are largely focused on the selection of primary calibrants, criteria for candidate reference points and choice of the equations of state. Meanwhile, preserving and archiving data related to pressure measurements need also considerable attention. These data, as well as metadata items, corresponding to the pressure determination method are often missing in publications, making it difficult to assess the soundness of the applied approach and validate the reliability of the results. Even if the relevant information is reported, it can be difficult to track down if buried in the article text or supplementary material. Therefore, only using a consistent standardized format one can conform to the requirements of modern science research data being FAIR, i.e. Findable, Accessible, Interoperable and Reusable. Existing data structures can serve as a good starting point, if properly adapted to host specific information related to the pressure measurement. In particular, essential high-pressure data and metadata can be encompassed within Crystallographic Information Framework (CIF), a widely accepted and robust standard file structure for the archiving and distribution of crystallographic information. This review is thus intended to indicate recommendations for data items to be preserved along with the associated measured pressure values.
High-pressure phase transition of methane hydrate in water–methane–ammonia system
Authors: Kadobayashi Hirokazu , Hirai Hisako , Machita Kenji , Ohfuji Hiroaki , Muraoka Michihiro , Yoshida Suguru , Yamamoto Yoshitaka 
Published: August 2020

Abstract
The phase transition of methane hydrate in water–methane–ammonia system was investigated under pressures up to 20 GPa using synchrotron X-ray powder diffraction (XRD) combined with diamond anvil cells. The XRD experiments revealed that the sI cage structure (MH-I) of methane hydrate transforms into an sH cage structure (MH-II) at approximately 1 GPa, further transforms into a filled-ice Ih structure (MH-III) at approximately 2 GPa, and remains in this structure under pressures up to at least 20 GPa. Ammonia was observed as ammonia hemihydrate phase-II above 3.8 GPa. It is therefore considered that methane hydrate can coexist with aqueous ammonia below 3.8 GPa and coexist with ammonia hemihydrate phase-II above 3.8 GPa. The transition pressures of methane hydrate in the investigated system were consistent with those in water–methane system. These results indicate that, although ammonia is thought to inhibit methane hydrate formation, methane hydrate can be stable in water–methane–ammonia system up to at least 20 GPa and at room temperature. The pressure range in this study covered the pressure conditions inside icy moons, indicating that methane hydrate has a potential to be the main constituent of them.
HHP treatment of liquid egg products
Authors: Németh C , Tóth A , Hidas K , Surányi J , Friedrich L 
Published: August 2020

Abstract
High Hydrostatic Pressure (HHP) is one of the most promising minimal processing technologies in food preservation. HHP decreases microbiological spoilage of products and extend shelf life, while freshly-like properties are retained. For controlling microbiological safety of liquid whole egg (LWE), liquid egg white (LEW), liquid egg yolk (LEY) several preservation methods are viable in industry, but most of these apply heat or preservatives. On the one hand high temperatures are effective, but techno-functional properties could be declined, on the other hand the use of preservatives is rejected by consumers. In our study liquid egg samples are treated between 150 and 600 MPa, for 5 min. After treatments rheological properties and protein structures of samples were investigated. In evaluation of rheological results, Herschel-Bulkley model was fitted. Relevant changes in values of Herschel-Bulky models were observed above 450 MPa. LWE after HHP treatment had a stronger pseudoplastic behaviour. Summarizing our data, using a higher pressure for preservation of LWE may have bad influence on techno-functional properties. But the border pressure for adequate techno-functional properties may differ depending on final use of LWE.
Protecting rivers by integrating supply-wastewater infrastructure planning and coordinating operational decisions
Authors: Dobson Barnaby , Mijic Ana 
Published: August 2020

Abstract
Placing water quality in rivers at the centre of water infrastructure planning and management is an important objective. In response there has been a range of ‘whole system’ analyses. Few studies, however, consider both abstraction (water removed from rivers) and discharge (water returned) to inform the future planning of water systems. In this work we present a systems approach to analysing future water planning options where system development prioritises the water quality of the receiving river. We provide a theoretical demonstration by integrating water supply and wastewater infrastructure, and downstream river water quality, on an open-source, stylised, systems model for London, UK, at a citywide scale. We show that models which consider either supply or wastewater separately will underestimate impacts of effluent on the water quality, in some cases by amounts that would require £1 billion worth of infrastructure equivalent to mitigate. We highlight the utility of the systems approach in evaluating integrated water infrastructure planning using both socio-economic and environmental indicators. Through this approach we find unintended impacts from planning options on downstream river quality; including benefits from water demand management and rainwater harvesting, and costs from wastewater reuse. Finally, we present a novel management planning option between supply and wastewater, which we refer to as Abstraction-Effluent Dilution (AED), that is, to reduce river abstractions during high precipitation events to dilute untreated sewer spills. The AED option is found to provide up to £200 million worth of equivalent infrastructure in river quality improvements and has minimal impact on the reliability of water supply while requiring only a change in operational decision making. This proof-of-concept study highlights that seeing our water systems differently with this holistic approach could fundamentally change the way we think about future water infrastructure planning so that it works both for people and the environment.