bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of heart disease using statistical techniques
Authors: Priyadarshini E. , Raj Gayathri G. , Chakravarthy Samuel E , Vidhya M. , Memala W.Abitha 
Published: April 2021

Abstract
Binary Logistic Regression analysis is one of the popular method used for prediction and forecasting of medical related data. The aim of this paper is to build a logistic model by identifying the various factors that trigger the heart disease of a person. The interaction effects of the various factors influencing the heart disease of a person was evaluated and the performance of the method were evaluated based on standard statistical measures such as MAPE, RMSE, etc. The results obtained shows that BLR model can be used to monitor the heart disease conditions satisfactorily.
Time Series Analysis of Air Quality in Chennai city
Authors: Nirmala M. , Mallika M. , Gomathi M. 
Published: April 2021

Abstract
A prime issue faced in India is the quality of air. As per World Health Organization (WHO) report, 2.4 million people die each year as a result of Air Pollution globally. In this study, the Air Quality Index (AQI) is analyzed based on the database monitored at different monitoring centres in Chennai in India. For this purpose, a data set consisting of monthly Ambient Air Quality data of Chennai city with various air pollutants for commercial, residential and industrial area were collected from Central Pollution Board, Chennai. This research article aims to understand air pollution aspects in the Chennai city by identifying an appropriate time series model and the result were analyzed.
Analysis of onion prices at wholesale level in India – an application of Rescaled Range Analysis
Authors: Priyadarshini E , Jayalakshmi K , Shalini M , Chakkravarthy Samuel E , Vidhya M , Govindarajan A 
Published: April 2021

Abstract
India is the second largest producer of onions next to China contributing to about 22.4% of world’s production. The sharp rise in the price of onion has caused much concern in the country. This sudden price rise is due to the failure of new kharif and late kharif crops which was unprecedented. This paper evaluates the persistence level of the onion prices using Rescaled Range Analysis to find out if there is bais behaviour in the onion price. The investigation was carried out on the onion prices for the period of 7 years stating from Jan 2013 till Dec 2019.
Research on Digital Identity Authentication Technology Based On Block Chain
Authors: Chen Zaixing , Wu Shaofei 
Published: April 2021

AbstractIn the traditional digital identity authentication, there are potential security threats caused by the user’s personal privacy data being too centralized and vulnerable to attack, and data centralization will lead to data redundancy, poor permeability, user’s lack of master control, high overall cost, and potential threats of abuse of central rights. The digital identity authentication technology based on block chain can perfectly solve the problem of appeal. The main innovative work includes the design of a new digital identity ID and a new asynchronous Byzantine fault-tolerant algorithm dsbft using cryptography, computer network, asynchronous Byzantine fault-tolerant algorithm and other technologies, Block chain is designed based on ID and dsbft, and a decentralized identity authentication system is designed based on block chain. Hash algorithm is used for signature and acceptance to improve authentication efficiency and scalability. In order to solve the dust attack and quantum computation, the elliptic curve digital signature algorithm (ECDSA) encryption algorithm can be combined with other cryptography. The results show that the appeal identity authentication scheme can resist a variety of attacks and has high efficiency and security.
Design of a new cloud-based standardised container preservation system for moving vehicles
Authors: Sun Zhanpeng 
Published: April 2021

AbstractSince the beginning of the 20th century, advanced business enterprises have focused on strengthening logistics management as a "third source of profit". In this context, that is, since the 1950s, the beginning of container sea transport, the superiority of container transport has been recognised worldwide, and become the main form of transport in domestic and foreign trade, the containerisation of such goods transport has become an irreversible direction of development. In the domestic occupy the transport of the mainstream of the car logistics is a greater demand for containers, in particular, can self-adjust the temperature of the container to achieve fresh demand, and the emergence of cloud servers and the Internet of things for this container design provides the possibility.
Dynamic RCS Modelling of Launch Vehicle Prior to Launch for Estimation of Real-time SNR
Authors: Surender Veerabathini , Sudhakara Reddy P. , Ramana Reddy P. 
Published: April 2021

Abstract
The Radar Tracking System plays a crucial role in tracking launch vehicles by providing continuous trajectory information in order to assess their performance in real-time for range safety purpose. The target Radar Cross Section (RCS) determines radar tracking efficiency and highly depends on both the target characteristics and the radar parameters. A good amount of RCS is warranted for space-based applications for easy detection and continuous tracking by the radar. It is essential to model and simulate the RCS fluctuations of the launch vehicle prior to launch for estimating the real-time received Signal to Noise Ratio (SNR) variations for its dynamic trajectory. This modelling will aid in selecting the best radar configuration to obtain a good amount of SNR in real-time and it also provides guidance for the radar operation in tracking the target. This paper analysed the RCS fluctuations of the launch vehicle for its dynamic trajectory prior to launch by software simulation and also compute the expected real time launch vehicle SNR variations.
Early fault diagnosis of rolling bearings based on signal reconstruction through SDD-SVD and FWEO
Authors: Zou Tiangang , Zhang Jinbao , Sun Yadong , Zheng Zhenqiong , Guo Yutong 
Published: April 2021

Abstract
An approach based on the singular spectrum decomposition (SSD)-singular value decomposition (SVD) and frequency weight energy operator (FWEO) was proposed for early fault diagnosis of rolling bearings. Since the interference of heavy noise in the early stage of bearing fault, SSD could eliminate abundant noise, meanwhile adaptively decompose the nonlinear, non-stationary signals into multiple mono-components which had distinct physical meanings. Subsequently, SVD was adopted for de-noising in every mono-components because the noise was distributed throughout the frequency domain. In the following, signal reconstruction was performed based on the selected mono-components with de-noising. Finally, FWEO was employed for envelop analysis and the early fault diagnosis of the rolling bearing is realized. Two groups of experiment data concerning signals of early bearing fault were investigated to valid the effectiveness of the proposed method, and good fault identification effects were obtained.
Controllable Text-to-Image Generation with Enhanced Text Encoder and Edge-Preserving Embedding
Authors: Wang Zeyu , Liang Xiaoyu , Wang Cheng 
Published: April 2021

Abstract
Text-to-image generation through generative adversarial networks (GANs) has become a popular research topic in the fields of natural language processing and high-quality image synthesizing. By learning latent word features of queries, many state-of-the-art GANs generate images from coarse to fine in a multi-stage trend. While this mechanism is able to synthesize realistic images stage by stage, failures containing semantic mismatches and shape distortions still exist. In this project, we adopted a multi-stage text-to-image GAN as a baseline, and remodeled this structure in two ways: 1) modify the text encoder by pre-processing text queries with pre-trained language models to gain deeply mined text information, and 2) develop an edge-preserving structure to capture feature mismatches, denoted as “edge loss”, between text latent information and generated image edges. Experiments on benchmark dataset demonstrate that models of our method outperform the baseline model and increase Inception Scores by over 30%, and that our approaches are able to effectively generate synthetic images using natural language descriptions.
A privacy-preserving scheme for JPEG image retrieval based on deep learning
Authors: Li Bin , Ding Shilei , Yang Xu 
Published: April 2021

Abstract
With the great increase of digital images, content-based image retrieval (CBIR) has been proposed to facilitate the usage of images. Local users need to outsource CBIR to cloud services, which leads to privacy leakage. Based on deep learning, this paper proposes a retrieval scheme of encrypted JPEG images. In this scheme, the image owner sends the corresponding encrypted image to the cloud server. The cloud server extracts the Variable-length Integer (VLI) code length from the encrypted image and uses Convolution Neural Network (CNN) to learn a value of fixed dimensions as the feature vector. We have shown through experiments that our scheme is safe, with good performance and retrieval accuracy.
RETRACTED: Research on the Application of Computer Software Technology in Big Data
Authors: Wang Xiaoyan 
Published: April 2021

Abstract
This article mainly briefly introduces the related concepts of big data and computer software technology, and expounds the main technology of computer software technology in big data. The author discusses the effective application of computer software technology in big data through the current development of computer software technology. This article puts forward the considerations for the application of computer software technology in big data to clarify the important role of computer software technology in big data. The author strengthened the research on computer software technology. Relevant personnel need to continuously innovate and adapt to the big data environment, so as to improve the application level of computer software technology and accelerate the construction of modern society informatization.
Time Series Analysis Process of Dynamic Data in Internet of Things System
Authors: Song Yu Xiang 
Published: April 2021

Abstract
Time series analysis is a dynamic data analysis and processing method. The biggest characteristic of time series analysis is that the successive observations are not independent. When the observation series are correlated, the autocorrelation between the observation data can be used to establish the dynamic model of the data series. Thus, the existing observation data can be used to predict the future data. Time series analysis is an effective tool to deal with dynamic observation data.
PGGAN: Improve Password Cover Rate Using the Controller
Authors: Guo Xiaozhou , Liu Yi , Tan Kaijun , Jin Min , Lu Huaxiang 
Published: April 2021

Abstract
Password generation model based on generative adversarial network usually has the problem of high duplicate rate, which further leads to low cover rate. In this regard, we propose PGGAN model. It sets up an additional controller network which is similar to the discriminator in the aspect of structure and function. The discriminator and the controller respectively learn the measure between the distribution of generated password with the real password distribution and the uniform distribution, and then use two measures to teach generator meanwhile. By changing the activation function and loss function of the controller, different measure functions can be selected. The experimental results show that compared with GAN, our PGGAN performs better both in cover rate and duplicate rate. Moreover, Wasserstein distance usually has a better effect to the other measure in model. Specifically, PGGAN with Wasserstein distance can increase the cover rate by 3.57% and reduce the duplicate rate by 30.85% on rockyou dataset.
A review of cryptographic algorithm recognition technology for binary code
Authors: Zhao Chenxia , Kang Fei , Yang Ju , Shu Hui 
Published: April 2021

Abstract
Aiming at the cryptographic algorithm that may be contained in the binary program, combined with existing research results, several cryptographic algorithm identification techniques are analyzed, including control flow graphs, data flow graphs, feature matching, selection of command statistical attributes, and semantic-based behavior analysis. The recognition effects of related technologies are discussed respectively.
Vocabulary Analysis of English Major Textbooks Based on Range Software
Authors: Zhou Wei 
Published: April 2021

Abstract
Range is a program that provides vocabulary data. It can automatically measure the vocabulary produced by students’ work, and through the comparison of the excellent degree of students’ work, formulate the direction of subsequent teaching work. This can provide teachers with a new vocabulary analysis method for the text of English majors. This article summarizes the current situation of text vocabulary in English majors. The author discusses the results of this research and the content of the discussion from three aspects: statistics of the vocabulary coverage of the textbook and the vocabulary matching degree required by the syllabus, statistics of vocabulary recurrence rate, vocabulary learning opportunities, and case analysis.
RETRACTED: Exploration and Practice of College English Blended Teaching Model from the Perspective of “Internet+”
Authors: Qi Ying 
Published: April 2021

Abstract
In the context of the rapid development of Internet technology, the use of network information technology to improve and innovate the college English teaching model will help improve the efficiency and quality of college English teaching. This is also the main trend in the innovation and development of college English teaching. The effective use of the mixed teaching model can meet the requirements of teaching reform and improve the overall level of university English teaching. However, there are still some problems in the development of the college English blended teaching model under the “Internet +” perspective. Especially the mixed teaching methods and teaching policies are immature and imperfect. Therefore, colleges and universities need to strengthen the research work on the blended teaching mode of college English under the background of “Internet +”, and understand the problems existing in the application of blended teaching mode. At the same time, colleges and universities need to propose effective practical strategies to improve the level of Chinese college English teaching reform.
Fine-grained access control model based on sensitivity calculation by fuzzy mathematics
Authors: Wang Yuntao 
Published: April 2021

Abstract
Access control regulates the behavior of legitimate users in the security domain to access and operate resources, and ensures that resources are not used by unauthorized users, in order to protect resources. With the maturity of security label technology, new requirements are put forward for access control of multi-level security network. In this paper, a fine-grained access control model based on sensitivity calculation by fuzzy mathematics is proposed. Fuzzy mathematics is used to comprehensively calculate the sensitivity level of users and files based on their security label attributes. On this basis, the mandatory access control policies are set to make the access control mechanism between users and files more reasonable.
Research on cognitive signal waveform technology based on artificial intelligence algorithm
Authors: Chen Mengyu , Zhang Luyong 
Published: April 2021

Abstract
With the continuous development of communication measurement and control technology, the communication environment is increasingly complex and changeable, and the traditional communication technology has been unable to meet people’s communication needs. The proposal of cognitive dynamic system (CDS) provides a new direction for the development of wireless communication technology. At present, the two main application directions of cognitive system are cognitive radio (CR) and cognitive radar (CR)[1][2]. Considering the innovative combination of cognitive system and TT& C communication scene, this paper studies the cognitive transmission performance under various environmental noises based on chirp signal, and uses BP neural network to optimize the system performance. The simulation results show that the adaptive waveform technology can improve the anti-jamming ability, and the BP algorithm has good prediction effect and reduces the computational complexity of the system.
EPCAD: Efficient and Privacy-Preserving Data Anomaly Detection Scheme for Industrial Control System Networks
Authors: Gao Hanjun , Yuan Liang , Yin Fei , Shen Gang 
Published: April 2021

Abstract
With the integration of Internet and industry, traditional industrial control system (ICS) has faced cyber-security risks and challenges due to interacting with the Internet. In this paper, we propose an efficient and privacy-preserving data anomaly detection scheme (EPCAD) for ICS. The scheme, a combination of a homomorphic cryptosystem and the support vector machine (SVM) algorithm, has the capability of efficiently detecting anomalies in data without compromising data information. Security analysis result shows that the EPCAD scheme has the following advantages: protect the data in the programmable logic controller (PLC); ensure that the classification parameters of anomaly detection server (ADS) are not compromised. Performance evaluation analysis demonstrates that the EPCAD scheme has significant advantages in terms of computational costs and communication overheads.
A detection method of the turned white belly fish based on improved SSD
Authors: Tian Ganglu , Li Daoliang , Li Wensheng , Zhang Lu , Zhang Hongxu , Duan Qingling 
Published: April 2021

Abstract
Aquaculture water pollution and fish disease caused the phenomenon of fish turning white belly. The accurate detection of the phenomenon of fish turning white belly was of great significance for emergency warning, reducing loss and improving the quality of aquatic products. There were few studies on the detection of the turned white belly fish in the fish swarm. The current research was mainly to identify single the turned white belly fish under a simple background, which was not applicable in the real aquaculture environment. In order to solve the above problems, a detection method of the white belly fish based on improved SSD was proposed in a complex environment. Crucian carp was taken as the experimental object and the proposed detection method of the turned white belly fish had been tested on the real dataset. The results showed that the average detection accuracy of white-bellied fish was 99.8%, and the average detection accuracy of normal fish was 98.8%, which was suitable for the complex environment with high breeding density and many interferences.
Manhole Cover Detection Using Depth Information
Authors: Ren Haotian , Deng Fang 
Published: April 2021

Abstract
Nowadays, the security of manhole cover has become a growing concern. In the past, manual inspection and Internet of Things were often used to ensure the safety of manhole cover. With the advent of smart cities, people look forward to using cameras as a more convenient method to detect whether manhole covers are damaged. Based on the structure of object detection network, we integrate the depth information in the picture and create a new model which improves the accuracy of detecting damaged manhole covers.
Application of Information Transmission Protocol in Communication Transmission Network System
Authors: Wei Dan , Guo Yang , Luo Jiawei 
Published: April 2021

Abstract
The biggest advantage of the information transmission protocol is that it has a large-granularity cross-scheduling capability, and uses the information transmission protocol optical add-drop multiplexing equipment (FIROADM) to realize a multi-channel network. Based on the optical cross information transmission protocol network, wavelength-level cross scheduling and signal transmission are realized at the optical layer with the help of G709 standard encapsulation procedure mapping. The information transmission protocol can perform cross-scheduling of end-to-end services at the wavelength level, and the dispatching capability is stronger than that of electrical cross-connections. Moreover, services can run in the optical layer without processing in the electrical layer, and optical cross-connections can achieve flexible networking and support mesh networks. In addition, multiple optical layer protection methods such as optical channels and multiple paths can be constructed as well.
Design and Implementation of Visual Employment Recommendation System
Authors: Huang Gengsheng 
Published: April 2021

Abstract
This paper studies the design and implementation of a visual employment recommendation system based on deep learning. The system mainly uses web crawler technology, word segmentation system jieba, Django framework, data analysis algorithm Kmeans, data visualization Echarts framework and other technologies. The system can make two-way precise recommendation for enterprises and fresh graduates to improve employment matching.
The design of the C mobile earth station simulator based on C language
Authors: Li Jun 
Published: April 2021

Abstract
The communication equipment software of the Global Maritime Distress and Safety System is based on DOS platform, and the equipment operation simulator used for training and assessment is generally developed by VC, VB and FLASH technology. There are a lot of difference between the simulator and the real machine on the interface and the operating response. The operation of the simulator is done with mouse, while the operation of the real machine must be done with the keyboard only on board ships. The Inmarsat-C mobile earth station simulator has being developed by C language. The simulator terminal operating interface and response is identical with the real machine operation because the developing language of the simulator is the same as the real machine. Because the adoption of the doubly-linked list data structure, program structure is clear and code is simplified.
Research on 3D Animation Processing Technology in Modern Art Design System
Authors: Zhao Jinyuan 
Published: April 2021

Abstract
This article analyzes the expressiveness of 3D animation processing technology in terms of lens, character movement, light and shadow, detail shaping, visual special effects, and traditional elements. This paper studies the key points of technical application such as logical structure establishment, 3D animation modeling, animation model texture rendering, and dynamic interactive processing. The author sorted out the test environment, animation modeling test, rendering result test, interactive function evaluation, etc. The purpose of this article is to improve the content rationality of modern art design system and improve the application effect of 3D animation processing technology.
A Countermeasure of Power Attack for Lightweight Cryptographic Algorithm Using Bit Permutation Operation
Authors: Cheng Lifu , Zhao Youyou , Yang Jinjiang , Liu Leibo 
Published: April 2021

Abstract
The implantation security of cryptographic algorithm is very important. This paper proposes a method to resist power consumption attack for lightweight cryptographic algorithms. Using bit permutation operation as a countermeasure, we ensure that the position of each data of the original intermediate value data has changed after the bit is permutated, which greatly increases the difficulty of the attack. SKINNY is taken as an example for evaluate the effect of the proposed countermeasure. The experiment results show that the key will not reveal over 100,000 energy traces by using the countermeasure.