bluuebunny/crossref_metadata_2025_split huggingface dataset:
Raft consensus mechanism and the applications
Authors: Hu Junjie , Liu Ke 
Published: June 2020

Abstract
Raft consensus algorithm is one of the commonly used consensus algorithms in distributed systems. It is mainly used to manage the consistency of log replication. It has the same function as Paxos, but compared to Paxos, Raft algorithm is easier to understand and easier to apply to actual systems. The Raft algorithm is a consensus algorithm adopted by the alliance chain. This article describes the details of Raft consensus algorithm and its application in detail.
Design and implementation of quality management system for cement enterprises
Authors: Dong Xin , Jing Shaohong , Lu Mengyao 
Published: June 2020

Abstract
The process of intellectualization, information and refinemention of cement quality management in China develops slowly. This paper aims at this problem, Taking Zhonglian* Company as an example,on the basis of careful investigation and analysis of system functional requirements, based on the thought of modern quality management, it conducts an in-depth study of it, from the entry of cement raw materials to the finished cement products. The detailed design of the comprehensive quality management system laid the foundation for China’s transition from a large cement country to a strong cement country.
Dynamic Simulation and Optimization of High Voltage Circuit Breaker Structure Based on Finite Element
Authors: Hou Yuqing , Feng Biao 
Published: June 2020

Abstract
the Main Cause of Substation Circuit Breaker Break Accidents Mainly in Post Insulator Accidents is That the Flexural Strength of the Insulators Does Not Meet the Design Requirements. At the Same Time, There Are Problems Such as Eccentricity of the Porcelain Column, Large Difference in the Thickness of the Cement Casting, No Asphalt Buffer Layer in the Pouring Part, and No Waterproof Silicone Rubber. as the Temperature Changes, a Break Occurs under the Mechanical Force of the Switch. This Paper is Based on the Dynamic Simulation and Optimization of the Structure of High Voltage Circuit Breaker Based on the Finite Element Partial Dynamic Characteristics of Mechanical Structure. through Experiments by Ansys, the Optimized Solution Helps Manufacturers to Improve the Manufacturing Process of Insulators. the Operating Unit Strengthens the Equipment Acceptance, Operation, and Maintenance, and Carries out Visual Inspection and Ultrasonic Flaw Detection in Strict Accordance with the Requirements of the Regulations, Which Can Prevent the Occurrence of Insulator Breakage Accidents.
Research on Optimization of Food Cold Chain Logistics Distribution Route Based on Internet of Things
Authors: Chen Jun , Xu Shiyan , Chen Hui , Zhao Chenyang , Xue Keer 
Published: June 2020

Abstract
with the Rapid Development of Social Economy and the Continuous Improvement of People’s Living Standards, People Pay More and More Attention to the Quality of Life, and Put Forward Higher Requirements for the Quality of Products, Especially the Quality of Cold Chain Products. as a Guarantee of the Quality of Cold Chain Products, Cold Chain Distribution Has Received the Attention of Enterprises. Based on the Technology of Internet of Things, This Paper Establishes a Path Optimization Model for Cold Chain Logistics by Adding Refrigeration Cost and Cargo Loss Cost to the Traditional Path Optimization Model. the Experimental Results Show That the Real-Time Route Optimization Method for Refrigerated Vehicles under the Internet of Things Environment is Effective. the Method Has Practical Significance in Achieving Fine Control of Cold Chain Logistics Distribution Costs and Improving Distribution Service Efficiency.
RETRACTED: Research on Humanization of Life Ceramics Design Based on VR Technology
Authors: Jing Chen 
Published: June 2020

Abstract
the Development of Design Has Been Accompanied by the Progress of Human Civilization and Culture. the Progress of Contemporary Society is Gradually Changing All Aspects of Human Production and Life. Living Ceramics is One of the Types of Ceramic Products, with Certain Practicality and Appreciation. It is a Relatively Traditional and Ancient Ceramic Product in Our Country. Life Ceramic Design Serves People, and Humanization Must Become the Core of All Designs. in the Contemporary Era, the Research on the Concept of Humanized Design Has Gone Deep into Many Fields and is Quite Mature. in Ceramic Modeling Design, the Attention of Humanized Design is Particularly Important. Virtual Reality (Vr) Technology Can Be Used as a Tool to Test the Performance of Ceramic Products, Which Can Be Evaluated and Corrected in All Aspects Before They Are Put into Production, So That Designers and Customers Can Feel and Identify the Advantages and Disadvantages of the Products through the Virtual Model on the Computer. in This Paper, Virtual Reality Technology is Applied in the Research of Life Ceramic Design, and the Application of Humanized Design in Life Ceramic Product Design is Analyzed.
Research on the Application of Virtual Simulation Technology and Vocational Education Teaching
Authors: Lin Jiaogang , Zhang Yanhua 
Published: June 2020

Abstract
Practical Teaching is Very Important to Vocational Education, But There Are Many Difficulties in Vocational Education Teaching. on the One Hand, It is Impossible for the School to Set Up Its Own Internship Factory for Its Own Major Due to the Restrictions of Capital Investment and Teaching Funds, Venues and Professionals. on the Other Hand, How to Find the Best Teaching Mode between the High Expectations of the Society for Vocational Education and the Students with Low General Scores?, Education Simulation Technology Can Meet the Requirements, the Simulation Technology in Vocational Education, the Author of This Paper How the Product Development, Design, Development Method and the Application of Simulation Technology in the Vocational Education Mode, Application Characteristic and Using Effect Were Discussed.
Xml and Its Application in Library and Information Retrieval
Authors: Lianghui Cai 
Published: June 2020

Abstract
the Extensible Mark-Up Language Xml is a Simple Data Storage Language, Using a Series of Simple Tags to Describe Data, and These Markers Can Be Used to Establish a Convenient Way, Although the Xml Space to Occupy More Space Than the Binary Data, But Xml is Extremely Simple and Easy to Master and Use. Xml Organized Management of Web Information Resources Distributed in Logic, Web Information Retrieval System Structure to Design a Professional Content, and Provides a Way for Users to Obtain the Special Contents Oriented Information Resources. a Good Data Storage Format, Scalable, Highly Structured and Easy for Network Transmission Characteristics So, and Xml is Determined by the Excellent Performance. the Paper Presents Xml and Its Application in Library and Information Retrieval.
An augmented reality image registration method based on improved ORB
Authors: Cheng Mingzhi , Zhang Luyue , Liu Long 
Published: June 2020

Abstract
In the process of Augmented Reality (AR) image registration, the traditional ORB (oriented FAST and rotated BRIEF) algorithm has low registration rate and poor real-time performance. In this paper, an improved AR image registration method based on improved ORB is proposed. Firstly, the calibration image and video frame image feature points are obtained by the improved FAST feature detection algorithm. Then, the binary descriptor of BRISK, which using the custom domain sampling pattern is used for feature description, and the scale invariance of the traditional ORB algorithm is improved. Finally, the random sampling consistency (RANSAC) algorithm is used to eliminate the wrong matching point pairs and optimize the feature matching. Experiments show that compared with the AR image registration method described by the traditional ORB algorithm and the FREAK feature, the registration rate of the proposed algorithm is increased by 1.1% and 8.4%, and the generation time is reduced by 0.13s and 0.12s, respectively. The experimental results show that the AR image registration method proposed in this paper can obtain higher feature point registration rate, and has better real-time performance, which can better meet the application needs of AR image registration.
Research Review of Feature Extraction and Classification Recognition of Rice Disease Images based on Computer Vision Technology
Authors: Li Hui 
Published: June 2020

Abstract
Diagnosis and recognition of rice diseases and pests, amongst others, are an essential research direction of precision agriculture, which help to effectively prevent and control diseases and pests as well as improve rice yield and quality. Starting with the basic principles and technical routes of feature extraction and classification recognition of rice disease images, this paper expounds characteristics, realization methods and applications of many current feature extraction and recognition methods in China and abroad, analyzes the advantages of and problems in applications of different methods and technologies into recognition of rice diseases and pests, analyzes problems to be solved, proposes corresponding solutions, and looks into the development future of this research.
A Spectrum Sensing Technology Exploiting Multiple Large Eigenvalues and Stochastic Resonance
Authors: Lu Jin 
Published: June 2020

Abstract
Cognitive radio (CR) is a hopeful technology to reduce the negative effect of spectrum scarcity caused by the enormous amount of wireless mobile device. Spectrum sensing could alleviate the interference and harm for primary user, and enhance the wireless access capability. This paper proposes a novel spectrum sensing method by using the summation of multiple large eigenvalues (SMLE) and stochastic resonance (SR). SR is used to enforce the detection signal of multiple antennas in low SNR condition. Then the sample covariance matrix of the enforcing detection signals and its multiple large eigenvalues are computed for constructing test statistic. The simulation results demonstrate that the proposed detector based on SMLE and SR is superior than the existing detector based on SMLE, and is robust in strong noise background.
Insect Recognition Based on Complex Frequency Domain Transform and Multi-feature Fusion
Authors: Bao Wenxia , Qiu Xiang , Huang Linsheng , Liang Dong , Li Yongluo 
Published: June 2020

Abstract
The accurate recognition of insects is of great significance for the protection and treatment of crops, vegetables and fruit trees. In order to improve the accuracy of insect images classification at the order level, the insect recognition algorithm based on complex frequency domain transform and multi-feature fusion is proposed in this paper. Firstly, the color features and Histogram of Oriented Gradient features of the insect images were extracted in the spatial domain. Secondly, the multi-scale and multi-directional complex frequency domain transform was performed on the images using the Multi-directional Dual Tree Complex Wavelet Transform. The shape features and texture features were obtained from the low frequency sub-band images. Finally, the spatial domain features and the complex frequency domain features were fused using the Relief-F algorithm, and the Support Vector Machine was used to recognition the insect images at the order level. The results of insect images recognition at nine orders level showed that the proposed method of multi-feature fusion in complex frequency domain and spatial domain can significantly improve the accuracy of insect recognition.
An intrusion detection method based on behavior characteristics for business logic
Authors: Li Ru , Zhai Shu-Ying , Zhi Yong-Feng 
Published: June 2020

Abstract
In order to improve the detection efficiency and accuracy of business logic vulnerability, a test method based on behavior characteristics was proposed. It uses the test accountes to crawl url of business system, analyzes the characteristics of request sequence, parameter attributes, request parameters, response parameters, relationship between parameters, and digs out the vulnerability, and then uses the test elements to verify whether there is a vulnerability. Experimental and analytical results show that this method which is instead of manual method can effectively detect the vulnerability of invalid identity authentication, invalid access control and sensitive information leakage.
Design of Lane Departure Warning System Based on Fuzzy Control Mode of Android System
Authors: Deng Rukui , Fan Yi , Li Guangping 
Published: June 2020

Abstract
Aiming at the unconscious lane departure behavior in the process of driving, a design scheme of lane departure warning system based on Android is proposed. STM32F103C8T6 is selected as the main control chip and CAN bus communication technology is used to collect vehicle information such as vehicle speed, steering angle and steering signal. Then Bluetooth module is used to transmit the data to the mobile phone for real-time processing. Taking GB/T 26773-2011 (Performance Requirements and Test Methods for Lane Departure Alarm System) as the design standard, the lane departure rate ε and the time T when the right front wheel crosses the lane line are considered as the input of the two-dimensional fuzzy controller, and the early warning level W is considered as the output. When the driving deviation angle is 5°, the interval of the lane departure rate ε is [0.75,1.35], and the interval of T is [0,1.5]. After normalized parameter processing, a certain fuzzy interval is set according to the driving habits of different vehicle drivers, and the fuzzy control algorithm with improved membership function is adopted for control, so as to improve the recognition rate of lane lines, reduce the early warning misjudgement rate and reduce the incidence of traffic accidents.
The Deep Neural Network and Content Transcription-based Speech Recognition Algorithm in Keyword Detection
Authors: Zheng Lei 
Published: June 2020

Abstract
Objective: It is hoped that the DNN-Hidden Markov Model (HMM) acoustic model and the long-short-term memory neural network-Hidden Markov (LSTM-HMM) acoustic model can be used to improve the accuracy rate of speech recognition in keyword detection. Method: First, the principles of speech recognition and related algorithms are introduced. Then, a DNN algorithm is applied to the speech recognition system, and a keyword detection system is established based on the DNN-HMM acoustic model. As for the experimental comparison, the proposed DNN model is used for acoustic modeling, and the effect of the DNN algorithm on the performance of the recognition system is analyzed experimentally. Results: The size of the training parameters of the proposed LSTM model is 436570, the size of the training parameters of the deep neural network (DNN) is 698100, and the size of the training parameters of the Gaussian mixture model (GMM) is 1226700. The accuracy of speech recognition based on the LSTM-HMM model and DNN-HMM model is 965% and 91.6%, respectively, which is significantly higher than 78.5% of the traditional speech recognition model (GMM-HMM). Conclusion: The speech recognition technology based on LSTM-HMM and DNN-HMM models has higher accuracy and is more suitable for speech keyword detection.
Development and Trend of Space Plug-and-Play Avionics
Authors: Lin Chuanwen , Chen Gang , Liu Zhenhua 
Published: June 2020

Abstract
The rapid construction of satellite systems has become a priority development direction of space technology. Space plug-and-play avionics (SPA) technology has the characteristics of short development cycle, low cost, strong pertinence, and quick results, so it has become a hot research topic in various countries today. This paper comprehensively summarizes the technical system and development trend of SPA. Firstly, the SPA hardware architecture and its three generations evolution process is analyzed; then, the application of SPA technology, including the development of PnP series satellites, OSR-1 satellite, panel extension satellite is introduced; finally, the development trend of SPA technology, including coordinated development of hardware and software technologies, and transforming traditional satellite test methods is also put forward.
Utility Analysis of Lip Features in Distinguishing Chinese Vowels and Lip Reading
Authors: Wang Jianrong , Zhang Yichao , Liu Wei , Chen Yu 
Published: June 2020

Abstract
The lip region provides the most direct visual information in the process of multi-sensory speech perception, which is applied to speech recognition and lip reading. In this paper, we extract eight lip features in articulating the basic vowels [a], [e], [i], [u], [ü] in standard Chinese, and analyze the efficiency in distinguishing the five vowels combined with articulatory phonetics. We use Dense Convolutional Network (DenseNet) to process two-dimensional lip images and fuse the lip features to identify the Chinese with consonants. The results show that the application of lip shape features in Chinese vowel recognition and Chinese consonant lip reading is consistent. Two-dimensional lip images can effectively improve the recognition rate by fusing lip features in lip reading.
Content Classification With Electroglottograph
Authors: Chen Pengfei , Chen Lijiang , Mao Xia 
Published: June 2020

Abstract
Electroglottograph(EGG) is a physiological signal collected from the throat which reflects the vocal cord movement. EGG signals can be still collected from patients without speaking ability or from the extremely noisy environments. Additionally, the trends of the vocal cord movement will be distinctive for long enough Chinese sentences with different contents. Therefore, it is valuable and possible to carry out the research of applying only the EGG signals for content classification or recognition. In this paper, a content classification method with EGG was proposed, which consists of an EGG feature extraction module and a classification network based on LSTM(Long Short-Term Memory) units. The EGG feature extraction module was composed of three parts: the voiced segments extraction, the feature extraction and the F
0 smoothing. The classification network was made of a three-layer bidirectional LSTM encoder. This method achieved 91.12% accuracy on the validation set in 20-class content classification experiment, which provides the reference for further study in content classification and recognition with EGG signals.
Development of bispecific antibodies in China: overview and prospects
Authors: Zhang Jing , Yi Jizu , Zhou Pengfei 
Published: May 2020

ABSTRACTA bispecific antibody (bsAb) can simultaneously bind two different epitopes or antigens, allowing for multiple mechanistic functions with synergistic effects. BsAbs have attracted significant scientific attentions and efforts towards their development as drugs for cancers. There are 21 bsAbs currently undergoing clinical trials in China. Here, we review their platform technologies, expression and production, and biological activities and bioassay of these bsAbs, and summarize their structural formats and mechanisms of actions. T-cell redirection and checkpoint inhibition are two main mechanisms of the bsAbs that we discuss in detail. Furthermore, we provide our perspective on the future of bsAb development in China, including CD3-bsAbs for solid tumors and related cytokine release syndromes, expression and chemistry, manufacturing and controls, clinical development, and immunogenicity.
Epidemiology and outcome of older patients presenting with dyspnoea to emergency departments
Authors: Kelly Anne-Maree , Keijzers Gerben , Klim Sharon , Craig Simon , Kuan Win Sen , Holdgate Anna , Graham Colin A , Jones Peter , Laribi Said 
Published: May 2020

Abstract

Objectives
To describe the epidemiology and outcomes of non-traumatic dyspnoea in patients aged 75 years or older presenting to emergency departments (EDs) in the Asia-Pacific region.

Methods
A substudy of a prospective interrupted time series cohort study conducted at three time points in EDs in Australia, New Zealand, Singapore, Hong Kong and Malaysia of patients presenting to the ED with dyspnoea as a main symptom. Data were collected over three 72-h periods and included demographics, co-morbidities, mode of arrival, usual medications, ED investigations and treatment, ED diagnosis and disposition, and outcome. The primary outcomes of interest are the epidemiology and outcome of patients aged 75 years or older presenting to the ED with dyspnoea.

Results
1097 patients were included. Older patients with dyspnoea made up 1.8% [95% confidence interval (CI) 1.7–1.9%] of ED presentations. The most common diagnoses were heart failure (25.3%), lower respiratory tract infection (25.2%) and chronic obstructive pulmonary disease (17.6%). Hospital ward admission was required for 82.6% (95% CI 80.2–84.7%), with 2.5% (95% CI 1.7–3.6%) requiring intensive care unit (ICU) admission. In-hospital mortality was 7.9% (95% CI 6.3–9.7%). Median length of stay was 5 days (interquartile range 2–8 days).

Conclusion
Older patients with dyspnoea make up a significant proportion of ED case load, and have a high admission rate and significant mortality. Exacerbations or worsening of pre-existing chronic disease account for a large proportion of cases which may be amenable to improved chronic disease management.
Attitudes and Knowledge of Australian Gastroenterologists Around the Use of Medicinal Cannabis for Inflammatory Bowel Disease
Authors: Benson Melissa J , Abelev Sarah V , Corte Crispin J , Connor Susan J , McGregor Iain S 
Published: May 2020

AbstractBackgroundMedicinal cannabis (MC) is being used for symptomatic relief by many patients with inflammatory bowel disease (IBD), often independently of clinical guidance. Such use presents challenges for supporting clinicians. The aim of this study was to determine the current attitudes, knowledge, and experience of gastroenterologists toward patient use of MC for symptom management in IBD.MethodsAustralian gastroenterologists (n = 70) and trainees (n = 23) completed an anonymous, 30-item questionnaire, probing their knowledge, attitudes, and experience with MC in managing IBD. Survey data were collected between April and August 2019.ResultsThirty-nine percent of survey respondents reported having patients using MC; however, only a minority supported use of MC in IBD (21%) or expressed a desire to prescribe (28%). Only 6% claimed good understanding of current patient access pathways and only 31% felt comfortable discussing MC with their patients. Some respondents (20%) cited adverse side effects as a reason for not wanting to prescribe, with driving impairment (64%) and impacts on the developing brain (56%) cited as significant concerns. Nonetheless, MC was ranked as less hazardous than corticosteroids, immunomodulators, and biologics by most respondents, and many (53%) were encouraging of patient participation in future clinical trials.ConclusionsSpecialist support for the use of MC in IBD patients is relatively low, potentially reflecting the lack of experience and knowledge with MC, uncertain evidence for efficacy, and the often-unorthodox nature of current MC use in patients. This situation may change rapidly with increased familiarity, evidence development, and education around MC prescribing.
Privacy threats in intimate relationships
Authors: Levy Karen , Schneier Bruce 
Published: May 2020

AbstractThis article provides an overview of intimate threats: a class of privacy threats that can arise within our families, romantic partnerships, close friendships, and caregiving relationships. Many common assumptions about privacy are upended in the context of these relationships, and many otherwise effective protective measures fail when applied to intimate threats. Those closest to us know the answers to our secret questions, have access to our devices, and can exercise coercive power over us. We survey a range of intimate relationships and describe their common features. Based on these features, we explore implications for both technical privacy design and policy, and offer design recommendations for ameliorating intimate privacy risks.