bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of Water Pipelines Energy Harvesting System
Authors: Liew H F , Rosemizi Abd R , Romli M I Fahmi , Nuraidah M. T. 
Published: March 2021

Abstract
Previously, the threats of negative effects caused from burning process of the fossil fuels is somewhat alarming which it may lead to acid rain, increasing greenhouse emissions and global warming. Based on the highlighted issue, this study aims to develop a system where the input power came from water pipes energy harvesting system. Water pipes harvesting system will be designed using polyvinyl chloride pipes and water turbines, to transform kinetic energy of a water flow into electrical energy and the energy performance will be monitored in a web-server using Arduino and ESP8266 Wi-Fi module as its processing centre. This research studies the feasibility of harvesting some energy from pipeline vibrations, and it is also observed that harvestable energy varies with harvesting location across a pipeline network as well as the pipe flow rate in the water-air and kinetic energy in the water pressure fluctuation. The water pipelines energy harvesting systems are modelled and then analyzed by using simulated data and real data using Arduino. Turbine generator are mounted on the pipeline surface at different locations to simultaneously collect vibrations-induced energy data from water pumping. The water flow rate energy harvester system and the water pressure fluctuation introduced in this research may be able to generate up to 6.8 mW’s power. The output produced from the energy harvesting system is expected to be enough to light up a 3.8 V direct current light emitting diode bulb.
The Impact of Integrating ICT in Malay Foreign Language Teaching and Learning
Authors: Ahmad Mazlina , Rashid Roswati Abdul , Mansor Noor Rohana , Ahmad Maryani , Sung Cho Min , Hussain Eizah Mat , Chua Abdullah Nurul Ain 
Published: March 2021

Abstract
COVID-19 affects 213 countries and territories around the world. This pandemic prompts substantial negative repercussions on social, health, economic, education, and tourism domains. New norms of life activities are designed as a solution so that life can be continued as before. This situation includes the education field, whereby various methods are created so that the progression of learning and teaching can be carried out even in limited circumstances. An imperative solution was chosen to integrate ICT into this field. Thus, the ICT applications in teaching and learning were the researchers’ focus of attention. This research centred predominantly on Malay foreign language teaching and learning that must adapt and renew itself to be compatible with the ICT. The goal of this study was to examine the impact of ICT and highlight the positive effects of it in order to keep up with the prevailing situation of the coronavirus COVID-19 pandemic. The writing of this paper was based on research focusing on Malay foreign language teaching and learning using ICT. Studies revealed that the application of ICT in language learning begins to get recognition from educators. Although there are some strengths in integrating the ICT on the other, it still holds considerable vulnerability which requires improvements to be made in order to meet teaching and learning requirements. Therefore, this study further illustrated the level of impact of integrating ICT in the education as a source of reference to the educator and education apps developer who created more sophisticate apps and fulfilled the demand of education. This analysis too would become a reference to literature review in extemporising the quality of teaching and learning in Malay foreign language.
Research on Autofrettage Mechanism in Ultra-High Pressure Thick-walled Vessel
Authors: Li Guiqin , Deng Xuechao , Song Haoju , Zhang Baoqing 
Published: March 2021

Abstract
The stress distribution of the Ultra-High Pressure (UHP) vessel is uneven, the inner layer stress value is the maximum and the outer layer stress value is the minimum, resulting in insufficient utilization of the outer layer material and reduced fatigue strength. In order to obtain the pressure when the UHP vessel bursts into failure, this paper proposes a new formula for calculating the burst pressure and uses 30 experimental sample data to verify the accuracy. The error of the calculation result is about 5% lower than the error of the traditional Faupel burst pressure formula by 15%, and is not affected by the tensile strength.The UHP vessel improves the stress distribution and improves the fatigue life using autofrettage technology, reverse yielding does not occur when the best autofrettage pressure is unloaded, and the yield strength is calculated using the burst failure criterion method. Simultaneously, the Shigley method is used to predict the fatigue life of the autofrettaged UHP vessel to prove that its fatigue life has been significantly improved.
Research on test method and correlation of low temperature performance of hydraulic oil
Authors: An Haizhen , Sun Yuanyuan , Zhu Weiwei 
Published: March 2021

Abstract
At present, the low temperature test methods of hydraulic oil are characterized by low temperature kinematic viscosity, low temperature dynamic viscosity, low temperature pumping viscosity, low temperature brinell viscosity and pour point. In order to meet the different requirements of low temperature performance indexes of hydraulic oil products at home and abroad, the testing principles of various testing methods are introduced and analyzed, the flow performance of different testing methods under different working conditions is presented and the correlation between the methods is analyzed briefly.
Research on quality warning of PZT sintering process based on SPC
Authors: Wang Can , Wang Zeyu , He Fei 
Published: March 2021

Abstract
In the small-batch production mode of multiple varieties of piezoelectric ceramics, according to the special requirements of batch sintering of the same batch of products in the sintering process, as well as the lack of quality sample data, quality status monitoring and inaccurate early warning, a combined process quality monitoring method of general control chart and CUSUM control chart was proposed. The method can effectively identify the slight deviation of quality and realize the early warning of process quality. The feasibility of this method is verified in this paper.
Research Status and Prospects of Materials for Aero-engines in China
Authors: Yang Pengxi 
Published: March 2021

Abstract
Aero-engine, a highly complex and precise thermal machinery, is the engine that provides the aircraft with the necessary power for flight. As the heart of aircraft, it directly affects the performance, reliability, and economy of the aircraft, and it is also an essential embodiment of a country’s scientific, technological, industrial, and national defense strength. Thus, this paper compares the material, structure, and process characteristics of China’s aero- engines and the development process and research status of high-temperature alloys in the field of aero-engines. Finally, some prospects are put forward for the development of aero-engine materials.
RETRACTED: Design and research of automatic fishing machine based on acoustic adjustment
Authors: Liu Yixuan , Hou Zhongshi , Cui Jianhua , You Kui 
Published: March 2021

Abstract
In this paper, an automatic fishing machine based on acoustic conditioning was developed and tested in a reservoir. The floating catcher is remotely and automatically controlled to operate underwater speakers, feeders and underwater cameras that monitor fish behavior in real time. The open net fence installed underneath the system can be automatically closed to catch captured fish. And in this paper, we monitor and discuss the dynamics of fish populations in the net box. With classic conditional reflexes, fish can associate sound signals with food. Also, in order to strengthen the conditioned behavior of fish swimming freely in the reservoir, we employ regular training. With the utility of an audible signal which is to attract fish around the catcher, the catcher can catch fish and automatically close the net fence around them: fish catches in this particular event are 2.5 times as much as ones in a controlled event. In controlled events, the net fence is automatically closed without summoning fish.
Research on Current Loop Bandwidth under Limits of Delay Time and Overshoot
Authors: Wang Chaoran 
Published: March 2021

Abstract
The delay of the forward channel and the feedback channel is one of the main factors that affect the current loop control effect. However, a large amount of literature currently only pays attention to the forward channel delay, which has a great impact on the system, and ignores the influence of the feedback channel delay on the system. Based on the actual current loop model, the bandwidth and dynamic response of the servo control system when the forward channel delay and the feedback channel delay exist simultaneously are analyzed. Provide theoretical reference for engineering practice.
Infrared Polarization Image Fusion and Detection System for Ship Target
Authors: Tuo Haonan , Shi Guochuan , Luo Xiaolin 
Published: March 2021

Abstract
In order to realize the fusion and detection of ship targets, infrared polarization image fusion and detection technology is adopted in this paper, and a design scheme of infrared polarization image fusion and detection system based on ship targets is proposed, which solves the key technologies such as processing system and fusion and detection algorithm, and the image detection rate is high. The proposed system can be used as a laboratory standby system.
Analysis of Fault Characteristics of AC Line Interconnected with MMC
Authors: Li Dongsheng , Yang Bingyuan , Xu Shuo 
Published: March 2021

Abstract
Affected by the control strategy of suppressing the negative sequence current and limiting the amplitude of the positive sequence current after the MMC fault, the fault characteristics of the converter side of the AC line interconnected with the MMC show that the negative sequence current is very small and the positive sequence current amplitude is different from the rated value Compared with the fault characteristics of the traditional power supply, there are obvious differences between the minor characteristics and the fault characteristics of the traditional power supply. And it has been simulated and verified on the RTDS simulation platform.
RETRACTED: Research on Physical Education in Colleges and Universities Based on Multimedia Big Data Environment
Authors: Wei Xie 
Published: March 2021

Abstract
With the advancement of modern society, information exchange is convenient and fast, and the increase in data volume makes data more convincing. Therefore, in the context of big data, the evaluation of college physical education quality is more scientific and objective. In the context of the development of the era of big data, college physical education teaching models mainly involve three micro-classes, MOOCs, and flipped courses. Some colleges and universities use the Internet to innovate physical education teaching methods or introduce innovative teaching software to effectively improve college physical education. The individualized level of class teaching makes it more in line with the physical learning needs of students in the era of big data. Based on this, starting from the big data era and the development of college physical education, combined with specific teaching cases, several college physical education teaching models are introduced, in order to provide help for college physical education teachers to carry out class teaching.
Design and Application of Building Intelligent Integrated Wiring System
Authors: He Xiaodan 
Published: March 2021

Abstract
Generic cabling is an important basic work for enterprises to realize networking, automation, digitization, and intelligence. This article introduces the structured integrated wiring system of the network, especially the 6 modules included in the structured wiring system, and the network wiring engineering circuit in a more detailed discussion, and combined with engineering application examples, analyses the structured wiring system Composition and engineering design process.
Research on Advanced Power System Analysis and Control Based on Big Data Technology
Authors: Ma Aoxiang 
Published: March 2021

Abstract
The continuous development of big data technology has brought many new ideas and challenges to power system analysis and control. With the development of distributed power sources, energy storage, monitoring, and protection devices, the traditional distribution network has gradually evolved into much Active distribution networks with control ability. At present, the power quality of the power system is a hot issue in power system research. There are many types of power quality disturbances, mainly including single type and compound type disturbances. The thesis first uses Matlab to model and simulate the power quality disturbance signal and then obtains a complex number matrix through S transform, then calculates its modulus, and extracts the corresponding characteristic parameters to form the characteristic vector. Secondly, the thesis uses a simple and efficient decision tree to correctly classify and identify power quality disturbance signals. Finally, the thesis’s simulation analysis results show that this research method combining S transform and decision tree has high recognition accuracy and strong anti-noise ability, which is a very suitable method.
Personalized Recommendation Algorithm for Mobile Based on Federated Matrix Factorization
Authors: Jia Junjie , Lei Zhipeng 
Published: March 2021

Abstract
There is a problem that the amount of users’ preference data on the mobile is small, and users are unwilling to disclose the preference data for the recommendation system about mobile users, so the server can’t centrally train a large amount of users’ preference data for a personalized recommendation. This paper proposes a personalized federated matrix factorization algorithm by introducing a federated matrix factorization model. The algorithm introduces users’ and items’ biases to modify the predictive rating model on each mobile; At the same time, conformity is introduced to give different weights to the preference data. In the case that the preference data does not leave the mobile, but the user preference data of the multiparty mobiles is shared, the multi-party mobiles and the server jointly train personalized matrix factorization model. The experimental results show that the algorithm in this paper still has high recommendation accuracy under the premise of correct updating in the federated matrix factorization model that uses bias and conformity.
Research on the design of multi-source heterogeneous data application framework for deep sea based on XML
Authors: Zhang Liting , Yu Wensheng , Ren Feng , Sun Jiawei , Liu Xiangyu , Zhang Nenghui , Zhang Ying 
Published: March 2021

Abstract
In view of the various instruments, equipment, survey methods and current problems involved in the deep sea survey, based on the analysis of the characteristics of the deep sea survey data, this paper puts forward a design method for the application framework of multi-source heterogeneous data in the deep sea survey. This method uses XML language to analyze, extract and fuse the multi-source heterogeneous data generated by marine survey equipment, so as to meet the practical application requirements of data. The practice shows that this method is feasible and easy to use as an application method of multi-source heterogeneous data in deep and deep sea survey.
Application Research of BP Neural Network Optimization Based on Firefly Algorithm
Authors: Wang Kun , Li Shixin , Zhang Hai 
Published: March 2021

Abstract
Aiming at the problems of low prediction accuracy and premature convergence of traditional BP network prediction models, firefly algorithm FA is introduced into BP neural network model to optimize the optimization process of neural network weights and thresholds. This paper presents a BP neural network prediction model based on firefly algorithm. Taking Fujian port throughput data as an example, the application verification and comparative analysis of the improved prediction algorithm are carried out. The experimental results show that the improved FA-BP prediction algorithm has better performance in prediction accuracy and stability.
Design of a Stereo Monitoring System Based on Wireless Sensor Networks
Authors: Jian Bijian , Ling Yongfa , Liu Xiaoyu , Xie Yicheng 
Published: March 2021

Abstract
Recently, Wireless sensor network is regarded as a new information acquisition platform, its relevant technologies have been widely used as the basis of the Internet of Things. In order to realize the campus information construction, a campus stereo monitoring system based on wireless sensor network is designed in this paper. Such technologies as the intelligent information processing technology of wireless sensor network, the remote WIFI wireless data communication technology, the cloud services technology and the management query technology for monitoring points based on the internet display platform are adopted in this system synthetically, realize on line real time monitoring and location, which can not only reduce the human cost, but also has important significance in maintaining campus safety and campus management.
A Survey of Cost Optimization in Serverless Cloud Computing
Authors: Li Zhe , Tan Yusong , Li Bao , Zhang Jianfeng , Wang Xiaochuan 
Published: March 2021

Abstract
Recently serverless cloud computing which was proposed by Amazon in 2015 is getting more favored by developers because of its charging model of pay-by-usage, applicability for fine-grained services and transparency of the servers to developers. Although a lot of study has proved that the performance and cost of serverless platform is more ideal than the traditional cloud computing service, the new metering model of serverless which depends on execution time, usage count and memory footprint is still unfamiliar to most developers and researchers. In this paper, we firstly make an introduction to the new metering model and the advantages of serverless over traditional cloud services. Then according to the cost affecting factors, we make a comprehensive survey of some constraints that mainly impact the cost of serverless and related methods to reduce cost in three levels—function level, container level and cloud platform level. Based on the analysis, we also propose some directions worthy of in-depth study in the future.
Research on optimal allocation of multi level resources in large power grid enterprises
Authors: Song Haiyun , Zhang Xiaofeng , Li Rui 
Published: March 2021

Abstract
China’s large power grid enterprises often need to achieve optimal allocation of resources between different levels. This paper establishes a multi-level resource allocation model of large-scale power grid enterprises based on the difference of hierarchical demand, and puts forward the allocation strategy of multi-level resource optimal allocation, and thinks that it is necessary to establish and improve the cross level power market to promote the optimal allocation of resources at different levels of power grid enterprises.
Comparative study on control effect of permanent magnet synchronous motor based on Fuzzy PID control and BP neural network PID control
Authors: Ding Yawen 
Published: March 2021

Abstract
Aiming at the problems of low control precision, poor anti-interference ability and poor stability of traditional PID controller, the improvement effect of fuzzy control and BP neural network in closed-loop control of PMSM is compared. In the case of variable speed and variable load, the stability, real-time, anti disturbance and robustness of PMSM system with traditional PID controller, fuzzy self-tuning PID controller and BP neural network PID controller as speed regulator are simulated and analyzed. The simulation results show that the fuzzy self-tuning PID controller has more advantages in the response speed of the system, and can make the system quickly recover to the initial state in case of sudden change. The BP neural network PID controller can ensure the relative stability of the system is better, and can restrain the sudden fluctuation.
A Two-layer Sequential State Estimation Method for electricity and heat Networks
Authors: Yang Xiaonan , Lang Yansheng , Zhang Heng , Lv Yan , Zhu Chengzhi , Liu Ye 
Published: March 2021

Abstract
As one of the main application forms of energy coupling utilization, the electric gas integrated energy system has been widely concerned. State estimation plays an important role in the operation monitoring and optimal scheduling of the electric gas integrated energy system. The state estimation is the basis of energy management of the electro-pneumatic coupling network, which can provide a high-precision global consistent solution for the subsequent optimal scheduling and safety evaluation of the electro-pneumatic coupling network. The steady state estimation model of gas network is established for grid connected operation or island mode, and the state estimation of complex gas network is realized. On this basis, the coupled state estimation model of electricity and gas is further established, and its performance in state estimation accuracy and bad data identification is tested.
On Influence of Computer Multimedia Technology in Language Learning
Authors: Wang Zhen , He Jianbo 
Published: March 2021

Abstract
In the 21st century, with the development of information technology, the popularization of multimedia technology and application of network technology, teaching methods and education technology have undergone great changes. How to fully understand the characteristics of multimedia technology, how to correctly use it to assist language teaching, thus effectively improve the efficiency of foreign language learning, is worth exploring. On the basis of defining the meaning of multimedia teaching, this paper analyzes in detail the advantages of applying multimedia technology in language teaching, thus creating good conditions for improving the efficiency of language classroom learning.
Research on Lung Medical Image based on Convolution Neural Network Algorithm
Authors: Xu Yipeng , Zhu Yiming , Chen Zhongrun 
Published: March 2021

Abstract
In the field of medical image processing, the convolution neural network (CNN) algorithm in depth learning solves many problems in machine vision.Aiming at the problems of low resolution of medical images and easy misjudgment of artificial recognition, in order to help medical workers to better identify the lesion area, this paper discusses the structure optimization, training and prediction ability of CNN, and trains the convolution neural network to judge the lesion area in the image.and get more accurate discriminant results on lung images, further verify the high efficiency, accuracy and reliability of convolutional neural network algorithm in medical image field.