bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Smart Campus Architecture Based on the Six Domain model of The Internet of Things
Authors: Li Gang , Zheng Chengpeng , Han Delong , Li Min 
Published: April 2021

Abstract
Universities across China have made great progress in the construction of smart campus with the rapid deployment of Internet of Things (IoT). But at the same time, it also exposed some problems, such as the lack of theoretical guidance, the lack of smart campus function design, the lack of overall planning and design. Based on the six domain model of IoT, this paper designs an architecture with the overall construction of smart campus as the core. The smart campus is divided into six functional domains. The information and function description of each domain are given. It provides reference for the structure design of smart campus system and intelligent solutions for the management of the school.
Based on the improvement of YOLO v3 aluminum alloy door and window profile identification method
Authors: Shuiping Li , Hao Tong 
Published: April 2021

Abstract
In the traditional aluminum alloy door and window profile production process, the identification of profiles mainly rely on RFID electronic labels and staff eye identification, but aluminum alloy doors and windows profiles are a wide variety, while some profile models are similar, staff difficult to judge, RFID electronic labels also have recovery difficulties, higher cost problems. Based on this, this paper proposes an aluminum alloy door and window profile identification method based on machine vision and deep learning, with YOLO v3 as the detection network, adding a separable convex network to the Darknet neural network, improving the detection accuracy and speed, and improving the K-mean clustering method to obtain a more accurate prediction box. The experimental results show that compared with SSD network and YOLO v3 network, the accuracy of improved detection network recognition is up to 0.15s, which can meet the needs of industrial production.
Dynamic modelling of ship using gaussian processes and sg filter
Authors: Chen Gang , Wang Wei , Huo Cong 
Published: April 2021

Abstract
Dynamic modeling of surface ships is a prerequisite for intelligent navigation and ship motion control. It is easy to ignore the nonlinear and strong coupling of ship dynamics by using traditional mechanism modeling. Moreover, the obtained parameter errors will be large due to the influence of noise and multicollinearity, it is difficult to establish a high-precision ship dynamic model. This study use a data-driven nonparametric bayesian model based on gaussian process regression on dynamic modelling of ship, it can capture the strong nonlinearity and motion coupling in ship motion, and deal with the presence of uncertainty and noise. SG filter is used to smooth the data to reduce the influence of noise on modeling. The results indicate that the gaussian processes regression and the SG filter can reproduce the ship’s motion well, which is beneficial to the further development of ship control design.
Relevant Concepts, Key Technologies and Typical Application Scenarios of AI + Education
Authors: Zheng HU , He Wang 
Published: April 2021

Abstract
Artificial intelligence (AI) + education has become an indispensable part of China’s national strategy with regard to AI. This paper redefines relevant concepts of AI + education, studies the core technology of AI + education, and proposes a four-level systematic framework of AI + education. Besides, this paper probes into the application scenarios, typical models and main technologies of AI + education.
Research on the Influencing Factors and Fluctuation of Hous-ing price in Jinan City based on GARCH model
Authors: Li Zhengong 
Published: April 2021

Abstract
For a long time, the real estate industry has been identified as the pillar industry of economic growth, driving the development of the national economy. However, the continuous rise of housing prices has caused many economic and social problems. However, a sTab and healthy development of the real estate market is more conducive to people’s livelihood, so it is particularly necessary to study the factors and fluctuations affecting the real estate price. Prices are affected by multiple factors comprehensive, taking jinan as an example, the selection of 2004-2018 data of commodity house average price and its influencing factors of jinan, modeling by economics method and use the analysis software Eviews econometric analysis, thus the study situation and its changes in 15 years, jinan prices, the relationship between the influencing factors of jinan index and use the 2010-2019 monthly data to establish GARCH, TGARCH model to study the volatility.
A New Training Idea of Machine Learning in NLP
Authors: Zhou Di 
Published: April 2021

Abstract
Natural language processing is an important direction in the field of computer science and artificial intelligence. It studies various theories and methods that enable effective communication between humans and computers in natural language. Generally speaking, NLP can be divided into the following areas, including text retrieval, sentiment analysis, semantic role labeling, machine translation and dialogue systems. Nowadays, although artificial intelligence has achieved a certain degree of achievements in the dialogue system, there is still room for improvement. This article proposes a way to deal with multiple interactive dialogues between man and machine, so that machine dialogue can take more about the content of the conversation before and after into account and the performance of machine is closer to the real human dialogue.
Attitude Control System Design and Simulation for the SVOM Mission
Authors: Liu Shuang , Qin Genjian , Li Dong , Li Jinsong 
Published: April 2021

Abstract
SVOM is an astronomical satellite used to observe a collection of Gamma Ray Burst and other targets. The general pointing attitude is inertial pointing in J2000 coordinate. As the telescope’s exposure time will be 100s or even longer, the satellite platform should provide severe stability during the exposure period. This article describes the design of Attitude Control System (ACS) for SVOM satellite. First, ACS’ key performance requirements are presented which include the extremely high stability target, 0.8 arcsec/100s along Ys and Zs axes. Second, ACS hardware selected and bus design are discribed. Then, the ACS modes and transfer logic are introduced. Next, the controller design and simulation results are given. At last, the conclusion is obtained and all the required index are fulfilled by current ACS design.
Minimum battery capacity planning in wireless rechargeable sensor networks
Authors: Yi Huiyang , Shen Xiaojian , Wang Jiaqi 
Published: April 2021

Abstract
This paper studies the problem of the minimum battery capacity required for the normal operation of each sensor when the charging path of the mobile charger is determined. When the parameters of the wireless rechargeable sensor network are determined, the aim is to minimize the battery capacity required by each sensor, and to ensure the permanent operation of the wireless rechargeable sensor network with the minimum sensor energy consumption. By analyzing the actual working conditions of mobile charger, a linear programming model with the goal of minimizing the battery capacity of each sensor is established, Lingo is used to solve the model, and the results are verified by computer simulation. The results show that the computer simulation results are basically consistent with the model solution results, which proved the reliability of the model.
Optimization of picking in the warehouse
Authors: Shen Xiaojian , Yi Huiyang , Wang Jiaqi 
Published: April 2021

Abstract
This paper studies the shortest path that the pickers should follow to complete the picking task in the actual e-commerce warehouse. Firstly, the concept of relay point is introduced and the distance model of the pickers in the warehouse is established through multiple Manhattan distances, and the computer simulation method is used to obtain the precise distance of the pickers from the review station to the review station, from the stock keeping unit to the stock keeping unit and from the stock keeping unit to the review station. Then the picking problem of the picker is analogous to the TSP problem, and the shortest path that the picker walks is obtained by improving the results of the genetic algorithm. The sensitivity analysis results show that the model has good stability and prove the reliability of the model.
The robot consciousness based on empirical knowledge
Authors: Liao Yuanxiu , Yan Mingrui , Tang Suqin 
Published: April 2021

Abstract
How to make robot conscious is an important goal of artificial intelligence. Despite the emergence of some very creative ideas, no convincing way to realize consciousness on a machine has been proposed so far. For example, the integrated information theory of consciousness proposes that consciousness can exist in any place that can reasonably process information, whether brain or machine. It points out that a physical system must satisfy two basic conditions to cause the emergence of consciousness: it must have rich information, and it must be highly integrated. However, the theory does not give an idea of how to realize consciousness on a machine. In this paper, we propose the robot consciousness based on empirical knowledge. We believe that the empirical knowledge of robots is an important basis for robot consciousness, any cognitive experience of robot can lead to the generation of consciousness. We firstly propose a formal framework for describing robot empirical knowledge; then we discuss the robot consciousness based on its own empirical knowledge; finally, we propose a cost-oriented evolutionary method of robot consciousness.
Conceptual design of combat software operation test
Authors: Yuanbo Xiong , Nuo Cheng , Yang Lin 
Published: April 2021

Abstract
In modern wars, software systems are the same important as hardware systems. At present, the test and appraisal institutions gradually pay more attention to software performance and operational use inspection[1]. At this stage, the test design and evaluation can’t answer whether the software can meet the actual combat and training requirements of the army, whether it can adapt to the specific task requirements under the realistic environment, whether it can adapt to the working requirements of multi arms and multi system equipment system under the condition of joint operations. Some software systems become furnishings cumbersome and many other strange appearances, because of the lack of real and objective evaluation, which urgently need to be implemented in the field under the real or mimetic real combat environment, the design of combat test and assessment of software system should be strengthened. Aiming at the current urgent need, this paper designs the software system combat test system.
Damping Optimization of High Pressure Rotor Support Based on Harmonic Response Analysis
Authors: Shuming Li , Yujia Wang 
Published: April 2021

Abstract
In order to reduce the vibration of aero-engine passing the critical speed, the vibration of aero-engine passing the critical speed is optimized through in-depth analysis of the supporting damping and dynamic characteristics of aero-engine high pressure rotor system. Firstly, the high pressure rotor of an aero-engine is modeled by SolidWorks 3D software. Then the dynamic characteristics of the high pressure rotor model were analyzed by using ANSYS finite element analysis software. Finally, the parametric design module of ANSYS is used to optimize the supporting damping of the model. The simulation results show that the parametric design of the supporting damping of the high pressure rotor can effectively reduce the vibration of the high pressure rotor passing the critical speed.
Research on EMU on-condition maintenance Process Based on Advance Warning
Authors: Qiao Chengzhen , Zhang Weijiao , Li Yan , Li Chaoxu 
Published: April 2021

Abstract
According to the maintenance characteristics of EMU, design EMU on-condition maintenance rule model. Suggestions for EMU maintenance are put forward based on EMU on-condition maintenance rule model. In addition, the maintenance advice will be passed to EMIS. In the EMIS plan, the job model to carry on the process structure comprehensive penetration, and the results are fed back to the on-condition maintenance model as input data..
Analysis of variation in reference evapotranspiration and its driving factors in mainland China from 1960 to 2016
Authors: Wu Dong , Fang Shibo , Tong Xingyuan , Wang Lei , Zhuo Wen , Pei Zhifang , Wu Yingjie , Zhang Ju , Li Mengqian 
Published: April 2021

Abstract
Understanding the variation in reference evapotranspiration (ETo) is vital for hydrological cycles, drought monitoring, and water resource management. With 1507 meteorological stations and 130 radiation-measured stations, the annual and seasonal ETo were calculated at each site from 1960 to 2016 in mainland China. The phenomenon of coefficient ‘a’ being less than 0.25 and coefficient ‘b’ being greater than 0.50 in the Angstrom–Prescott model occurred in almost the whole country, except for a small area of western and northeastern China. Moreover, the Xiao’s method was more applicable to calculate the net longwave radiation (R
nl) and then improve the estimation accuracy of ETo. The annual ETo varied from 538.8 to 1559.8 mm and had a high-value center located in the plateau and desert of northwestern China and a low-value center located in Northeast China and near the Sichuan Basin. The spatial distribution of seasonal ETo was roughly similar to that of annual ETo, except for that in winter when ETo was high in the south and low in the north. In mainland China, the annual ETo decreased by 21.2 mm decade−1 because of the declining sunshine duration before 1993 and increased by 21.1 mm decade−1 due to the decreased relative humidity (RH) after 1993. Generally, the abrupt change of ETo mainly occurred in the southern China rather than northern China (except for Qinghai Tibet Plateau). Basically, the dominant driving factors of annual and seasonal ETo were RH and/or T
max after the abrupt change in most parts of China.
Land conversion and availability of agricultural land in 2035 in Puncak Area Bogor Regency
Authors: Jaya B , Rustiadi E , Fauzi A , Pravitasari A E 
Published: April 2021

Abstract
Land conversion is the result of a complex interaction between physical, social, and economic activities in land use as human activities in natural resource management. Currently, the land conversion phenomenon is a common sight that we often encounter at any time. As happened in the Puncak area of Bogor Regency, land conversion, the increasing demand for land, has led to increasing land conversion. This study aims to (1) identify land conversion in Bogor Regency in 2005-2015, (2) predict agricultural land conversion in 2035 based on land use trends in Puncak District, Bogor Regency. The analytical methods used are remote sensing techniques, spatial analysis, and making land-use scenarios with GIS and ANN analysis. The results showed that land conversion in Puncak Subdistrict, Bogor Regency during 2005-2019 caused the area of agricultural land to decrease by an average of 82.59 hectares every year due to conversion to developed land and open land. From the prediction of changes in agricultural land area in 2035, it shows a decrease in rice fields and fields on average 60.90 hectares every year. However, the plantation area has increased by an average of 24.35 hectares every year due to the conversion from forest and shrubs.
Field load test and Performance Evaluation of Rainbow Bridge with Sling and Leaning Tower Curved Arch
Authors: Nie Ruifeng , Liu Deqing , Li Shuo , Li Songhui 
Published: April 2021

Abstract
Finite element model of a suspension inclined tower arch composite structure pedestrian bridge was established based on Midas Civil. The bearing capacity was calculation and static and dynamic numerical analysis were carried out, and load capacity, loading position and field test cases were developed. The test results under various load cases were obtained based on field dynamic and static load test, and compared with the calculated values. Results show that: test values have good consistency with the calculated values. The bridge keep in elastic state during the test process, means that the bridge can better meet the current design load demand, but with low bearing capacity redundancy.
The establishment of a comprehensive evaluation model of productivity construction projects in the Sichuan Basin
Authors: Xu Ling , Xiao Yang , Zhang Juan , Li Zhigang , Guo Zhuohan , Cheng Xiaowen 
Published: April 2021

Abstract
In the process of natural gas productivity construction in the Sichuan basin, in order to carry out the technical and economic feasibility demonstrations based on the productivity of the construction project, it is necessary to establish an integrated productivity and economic risk evaluation model based on the productivity prediction of natural gas and considering the impacts of economic benefits and various risks. Based on the economic evaluation of productivity construction projects, this paper analysed the risk evaluation standards of productivity construction projects in the Sichuan basin and quantified risk indicators at all levels, then used 0-1 regularization method and Monte-Carlo technique to establish the risk evaluation model, and finally achieved projects scheme scheduling and multi-scenario, multi-scheme target optimal combination by synthesizing the economic evaluation model, risk evaluation model, and comprehensive evaluation model established by AHP method of productivity construction projects.
Effect of Acid Concentration on Thermal Stability of nitrocellulose (NC) for Civil Use
Authors: Wang Qiong , Gu Yan , Ren Chunyan , Liu Hongni , Su Pengfei 
Published: April 2021

Abstract
The effect of acid concentration in nitrocellulose (NC) on thermal stability of NC for civil use was studied using differential scanning calorimeter (DSC). The thermal explosion temperature (Tb) and kinetic parameters of NC thermal decomposition were calculated using different methods based on the thermal decomposition behaviors of NC in high pressure-gold plated stainless steel crucible at different heating rates. The results show that acid content in NC reduces the stability of NC remarkably, including reducing the characteristic decomposition temperature such as peak temperature (Tp), onset temperature (Tonset), initial temperature (T0) and critical temperature of thermal explosion (Tb). The big difference between NC with different acid content is that the relative quantity of activation energy and the change trend of activation energy. The most interesting thing is that NC with more acid content has the lower characteristic temperature but higher calculated activation energy.
Selection of unmanned aerial vehicles equipped with electric field sensors for detecting deteriorated insulators
Authors: Liu Yaowen 
Published: April 2021

Abstract
With the rapid development of UHV, the demand for power line inspections continues to increase. The optical electric field method is the current cutting-edge insulator detection method, which is accurate. Mounting it on an unmanned aerial vehicle (UAV) can expand detection advantages, improve detection efficiency, and ensure safe electricity use. UAVs are currently developing rapidly, and there are many types of UAVs on the market. Due to the principle of the electric field method for detecting insulators and the real environment of power inspection site, there are certain requirements for UAVs. Therefore, we are striving to compare and analyze the UAVs on the market, and conclude that the optimal UAV choice for power line inspection is the quad-rotor UAV. Finally, the application will be promoted to provide reference and ideas for the inspection of oil pipelines. Introduction.
EEG Neurofeedback Training Among Adult with Attention Deficit: A Review Article
Authors: Alaros Eshrak , Handayani Dini Oktarina Dwi , Yaacob Hamwira , Lubis Muharman 
Published: April 2021

Abstract
Neurofeedback is considered a promising therapy for boosting cognitive skills, which 10% of the US medical sector is using as a new training method among patients. Attention is a significant mechanism for learning and is essential for life in general. As the person grows up the level of responsibilities also increases, which needs high concentration in doing normal activities. To succeed in any activity, neurofeedback therapy needs to check brain waves to locate the problem in the brain and train it. This paper aims to review the attention deficit treatment based on neurofeedback using a systematic review method. The results found that the common features are the area of EEG (Frontal, central) in the brain, type of tools and software, time of training and the impact upon the trainer. Neurofeedback showed improvement of brain attention-ability for a longer time as well as reduction in recovery time in case of a disturbance interruption.
Raspberry Pi Based IoT for Aquaculture Realtime Remote Monitoring System with Self Energy Harvesting
Authors: Abdullah Harnan M. , Hariati Anik M. , Fakhri M. , Yuniarti A. 
Published: April 2021

Abstract
Temperature and pH are two essentials water quality parameters in shrimp culture. Therefore, monitoring these two variables is very important to improve productivity in aquaculture. In this study, a monitoring system was created to monitor the two variables in the pond. For this reason, Raspberry Pi IoT based hardware and software has been made to carry out the monitoring function. Monitoring data is automatically sent to online servers using a cellular internet network. For electrical power needs, remote devices are equipped with solar power plants. The results showed that the system could read the temperature and pH of the water accurately and sent it to an online server. There is a web-based calibration menu that allows users to easily calibrate sensors. Moreover, a user interface is also made to display the sensor readings data that has been stored in the database. In conclusion, the monitoring system is applicable for water quality data logger in the field operation with user friendly operation.
Sulphate and chloride resistance of vermiculite blended concrete
Authors: Kiran Kumar N , Damodhara Reddy B , Sasidhar C. 
Published: April 2021

Abstract
In the construction industry lot of natural sand is being used in the preparation of concrete. Levels of natural sand are depleting day by day. The cost of natural sand is also increasing every day. Therefore, there is a need for alternative materials to natural sand. In this study, exfoliated vermiculite is replacing natural sand partially. Vermiculite at 5%, 10%, and 15% is used for replacement. The concrete cubes are cast for M 30 grade to determine the optimal percentage of replacement of natural sand by vermiculite. In this study, coarse aggregate used includes both normal aggregate and recycled aggregate. The water-cement ratio of 0.45 is adopted. The durability tests conducted include the sulfate resistance Test and the chloride resistance test. The cost analysis was also done and results are presented. The test results are promising when vermiculite was used to replace natural sand at 10%.