bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementation of Image Resampling Algorithm Based on Compressed Sensing
Authors: Li Denghui , Wang Yanhong 
Published: January 2021

Abstract
In this paper, the sampling rate of traditional signal reconstruction should be more than 2 times the maximum frequency of the original signal in order to ensure the non-distortion reconstruction of the signal. The theoretical knowledge of compressed sensing is deeply analysed, and the image signal is reconstructed by block compression sensing method. Experiments show that the sampling rate is more higher, and the reconstruction error is more smaller, but the processing complexity is more higher; conversely, the lower the sampling rate, the lower the processing complexity, the greater the reconstruction error.
Research on Image Recognition Algorithm Technology for Power Line detection
Authors: Wang Dong , Zhu Tuofu , Xie Aoyu , Fang Nian , Liu Hongliang 
Published: January 2021

Abstract
Based on the analysis of power line features in aerial images, this paper proposes a power line detection algorithm for aerial images based on adjustable direction filtering. The thesis first performs directional filtering on the image and calculates its directional energy function and ridge energy function, then combines the image local and global information to fit the line segments in the image, and finally verifies the reliability and real-time performance of the algorithm through experimental methods. The calculation of this algorithm is about half of the ED Lines algorithm. Experimental results show that the algorithm can detect power lines in aerial images better, and the algorithm is not complicated, which is suitable for real-time detection of power lines.
A New Neural Network with Genetic Algorithm in Searching Nonlinear Function Extremum
Authors: Qu Huiyan , Cheng Sining 
Published: January 2021

Abstract
In order to more accurate for nonlinear function extreme, this paper used improved particle swarm optimization neural network combining with genetic algorithm method to solve the problem. In view of the particle swarm optimization algorithm is easy to appear “premature” faults, introducing the adaptive threshold, initializing particles if they were under the constraint conditions, making particles jump out to the optimal value of the position in previous search. Through the experiment, contrasts to the genetic neural network algorithm and traditional BP neural network, this method is faster in convergence and has the smallest prediction error. Finally, combining with genetic algorithm, calculating the extreme value of nonlinear function by using the above three kinds of neural network trained forecast as an individual output fitness value. The adaptive particle swarm optimization neural network proves the most close to the theoretical calculation. It shows that the method is effective.
Effects of Thinning on Growth and Regeneration of Cyclobalanopsis glauca Secondary Forest
Authors: Shi Zhenwei 
Published: January 2021

Abstract
Based on the problems of poor productivity and natural regeneration of Cyclobalanopsis glauca secondary forest in hilly areas in southeast Hunan Province, experiments of thinning were carried out to analyze the effects on stand growth and regeneration of different thinning intensities and to provide guidance for managing secondary forests. Cyclobalanopsis glauca secondary forest was selected for research object, then experimental design was arranged with a randomized block by thinning intensity such as control(un-thinning), light thinning (10%), moderate thinning (20%) and heavy thinning (30%). Tree measuring factor and number of naturally regenerated seedlings were investigated for researching the responses to thinning treatment. Results showed that there were significant differences of mean DBH and current annual increment of DBH in terms of the four thinning treatments, and the larger the thinning intensity, the higher the DHB increment. The maximum mean height (10.1m) happened in stand of heavy thinning. However, significant differences existed in the current annual increment of height among the four thinning treatments. Stand volume was 93.27, 91.49, and 91.90 m3 hm−2 respectively in stand of heavy thinning, moderate thinning, light thinning, and were all lower than that of the control, but current annual increment of volume was 5.65, 4.43 and 3.75 m3 hm−2 yr−1, respectively and higher than that of the control. The Simpson index of shrub layer and herb layer of heavy thinning stand was 0.45 and 0.80, Shannon-Wiener index was 1.03 and 2.03, respectively. There were significant differences of naturally regenerated seedlings according to four thinning treatments only for seedlings of 5∼30 cm level, but there were no significant differences for seedlings of 30∼50 and 50∼150 cm level. The growing space and nutritional condition of retained trees after thinning were effectively improved, stand DBH and height increased with the increasing thinning intensity. However, stand volume was not significantly different among four thinning treatments. Besides, thinning at appropriate intensities could increase the biodiversity in shrub layer and herb layer, quantities of naturally regenerated seedlings also increased with the increasing thinning intensity. Heavy thinning (30%) was the best one among four thinning treatments for silvicultural interventions on Cyclobalanopsis glauca secondary forest.
Tebei calcium oyster powder may enhance rice output, decrease rice heavy metal concentration and reduce soil acidity
Authors: Huang Dongfeng , Luo Tao 
Published: January 2021

Abstract
The influences of several doses of Tebei calcium oyster powder on rice output, heavy metal concentration and basic soil fertility characteristics were studied by field plot experiment. Outcomes indicated that the use of several doses of Tebei calcium oyster powder could raise the dry matter output of rice by 5.24%∼20.65%, reduce the Cd and Pb concentration of rice by 7.80%∼53.67% and 12.63%∼60.10%, raise the pH value of soil by 4.1%∼24.5%, decrease the exchangeable acid (potential acid) by 1.0%∼53.8%, and decrease the concentration of Influenceive Cd and Pb by 64.22%∼77.98% and 4.65%∼22.59%, respectively.
Front Obstacle Detection System based on YOLOv3
Authors: Wang Chao , Huang Yiyang , Shi Bowen 
Published: January 2021

Abstract
The task of front obstacle detection in unmanned driving is to allow the model to accurately detect types and corresponding position of each object. Complex true driving environment, multiple types of objects within range of visibility and multiple examples are challenges for detection. Particularly in unmanned driving field, not only the detection precision shall be pursued, but also the detection speed shall be guaranteed. This paper puts forward the front obstacle detection method based on YOLOv3. It establishes a Tensor Flow+Keras framework on GPU server cluster, designs and realizes YOLOv3, and realizes calibration and classification of front obstacles through training and optimization of the model on the data set. This method supports over 10 object types. Experimental results show validation set Loss (VAL Loss) reaches 21.206, mAP reaches 78.64, and detection speed reaches 30 FPS. The study provides theoretical basis for obstacles detection of automated vehicle in complex environment.
Study on the optimization of pile group foundation under oblique load
Authors: Dong Bin , Wang Liang , Liu Wenting , Han Aiguo , Tang Yang , Yuan Lei 
Published: January 2021

Abstract
With the development of economy and science and technology in China, pile group foundation is widely used in various constructions to meet the complex engineering conditions. Pile foundation is often affected by inclined load (i.e. horizontal load and vertical load). The behavior of pile under inclined load is much more complex than that under single load. In engineering, the vertical component and the horizontal component of the pile top are often calculated separately, and then modified. This method is only suitable for small deformation, which is different from the actual situation. In this paper, taking the four pile foundation as an example, through the rotation of the cushion cap (the column does not rotate) and the column eccentricity, the force of the foundation pile can be relatively uniform. At the same time, the design calculation of the group pile foundation under the oblique load can be approximately equivalent to the design calculation of the group pile foundation under the single vertical load. When the force distribution on the pile top is relatively uniform under the same inclined load, the eccentricity of the column has a linear relationship with the depth of the cap. Through ABAQUS numerical simulation analysis, the correctness of the above understanding is verified.
Metal Material Resistant to Hydrochloric Acid Corrosion
Authors: Fan Ruicheng , Zhang Weiqi , Wang Yongwang , Chen Dong , Zhang Yunfeng 
Published: January 2021

Abstract
Hydrochloric acid, especially when contains a certain amount of FeCl3 (or oxidizing salt such as copper chloride), is highly corrosive to chemical equipment, which will lead to problems of malignant destruction and failure. Therefore, the correct and rational selection of material is essential for the production and use of hydrochloric acid. In this paper, from the corrosion characteristics of hydrochloric acid and the factors affecting the selection of hydrochloric acid resistant materials, the metal materials resistant to hydrochloric acid corrosion are reviewed, which provides a scientific basis for material selection of alumina extraction from fly ash by acid method and other similar working conditions.
Design of a kind of Steel Cable Bridge for Belt Conveyor
Authors: Zhou Qi , Li Chenxi , Liu Hongwei , Ma Ming , Zhang Rui , Zhang Zhao 
Published: January 2021

Abstract
Steel cable bridge is a kind of flexible suspension bridge with steel wire rope as the main stress components. It has the advantages of low construction cost, short engineering period, reliable structure, simple construction, etc., and has been widely used in driving and walking passages. In this paper, a 110m steel cable bridge supporting the belt conveyor is as an example, the finite element software Midas/civil is used to establish a spatial calculation model, and the cable force and displacement are calculated and analyzed. The results and calculation process can provide theoretical basis and practical experience for the design of steel cable bridge for belt conveyor.
Research on PMSM Speed Control System Based on Adaptive Fuzzy Control
Authors: Liu Shengjian , Wang Jianmin , Zheng Zhiyuan 
Published: January 2021

Abstract
PMSM servo system has nonlinear, parameter time-varying, load disturbance and other issues. In the face of these problems, traditional PI control strategies often fail to achieve ideal parameter tracking and load immunity, showing a large degree of limitations. Aiming at this kind of problem, this paper designs a fuzzy PI control method combining PI control and fuzzy control, and uses the vector rotation control method of current speed double closed loop to drive the permanent magnet synchronous motor for control. Finally, the traditional PI control system and fuzzy PI control system simulation model are built in Matlab/Simulink environment. The simulations were carried out in three cases of high speed, medium speed and low speed, and the speed and current waveforms of the two control methods were observed. The simulation results show that the fuzzy PI control system can increase the response rate, reduce the overshoot of the speed and reduce the current fluctuation in the full speed range. The robustness of the system is improved, the adaptability of the system to load changes is enhanced, and the correctness of the theoretical analysis is verified.
Experimental investigation of axial Solid concentration distribution in fluidized bed
Authors: Gao Shun , Lu Yuanchun , Duan Jihai 
Published: January 2021

Abstract
The axial solid concentration distributions were measured by using pressure inspection instrument in a glass bead fluidized bed. Set 1-3 belong to single size distribution and Set 4-5 have wide size distribution, respectively. The change trend of axial solid concentration distributions were investigated under different superficial gas velocities, particle size and particle density. The results showed that, with increasing superficial gas velocity, the solid concentrations in dense region decreased, but increased in dilute region. The glass bead particles whose particle size and particle density were smaller had good fluidization quality. It was also found that the joining of fine particles can significantly change the flow characteristics of the fluidized solid particles.
Flow Analysis and Optimization of the Air channel of Drying Chamber Based on CFD
Authors: Li Ming , Liu Jianqiao , Niu Hongwei , Jiang Yan 
Published: January 2021

Abstract
According to the structure of the air channel in the drying chamber of an automobile factory, a model of the original structure of the drying chamber was established. The air flow of this structure is analyzed based on the CFD simulation, and the velocity at specific points of the car shell being dried is also analyzed. The results show that the original drying chamber structure is optimized, the air flow is uniform in the drying air chamber and short circuit of air between inlet and outlet in the drying chamber is decreased.
Multi-objective Planning of the Economic Operation of Microgrid Considering the Energy Loss and the Start-up Cost of Conventional Units
Authors: Ke Xue , Yin Yiheng , Xu Zecheng 
Published: January 2021

Abstract
The fluctuation of load and new energy will have an important impact on the operation mode of microgrid. In order to balance the economy and reliability of microgrid, a chance constrained model of microgrid is established firstly. Based on the reliability cost, the operation cost of microgrid under different confidence levels is calculated, and a reasonable confidence level of rotating reserve is obtained. This paper analyzes the impact of energy storage charge and discharge loss and conventional unit start-up cost on the economic operation of the isolated micro grid; for the grid connected micro grid, the economy of its own operation and the effect of auxiliary large grid peak load shedding are taken as the objective function, and the multi-objective programming method proposed in this paper is used to solve the problem. The example analysis shows that the multi-objective programming method in this paper, by combining with particle swarm optimization algorithm, can optimize the weight of different objectives reasonably, which can not only help the large power grid to cut peak and fill valley, but also realize the economy of microgrid operation.
Analysis of Pt Ferroresonance based on Excitation Characteristic and Self-Excitation Mechanism
Authors: Zhang Yu , Xie Shijun , Jiang Nanxi , Zhao Zhirong , Luo Donghui , Wang Naihui , Li Jian 
Published: January 2021

Abstract
PT ferroresonance occurred frequently in distribution network, which seriously threatened the safety of personnel and equipment of substation, and seriously affected the power supply reliability of distribution network. In order to reveal the real cause of PT ferro resonance, to propose the solutions. In order to solve the problem of PT resonance and provide theoretical basis for PT resonance prevention and control, this paper carried out the analysis of PT resonance mechanism, PT excitation characteristics and PT frequency division resonance self-mechanism.
Analysis of Frequency Response Characteristics for CVT Over-voltage Monitoring Device under Different Load Conditions
Authors: Zhu Jingfeng , Chen Shaoqing , Su Tao , Zhao Jingwei , Liang Wei 
Published: January 2021

Abstract
The accurate measurement of over-voltage is very important to ensure the safety and stability of power grid. Therefore, the frequency response characteristics of the over-voltage monitoring device employing capacitive voltage transformer (CVT) under different load conditions are tested and analysed in this paper, and the effect of load change on the frequency response characteristics without and with interior low-voltage capacitor is studied. The results show that: for the case without interior low-voltage capacitor, when the secondary side of CVT is no-load or rated load, the frequency characteristics are roughly the same, but when the load is heavy, the frequency characteristics are greatly different from the situation under rated load. When there is an interior low-voltage capacitor, the presence of the interior low-voltage capacitor has almost no effect on the frequency characteristics of CVT under different load conditions, and there is also little effect on the frequency characteristics of the interior low-voltage capacitor high-voltage side under rated load and no-load conditions.
A partition design for a rotary shelf system based on ABC classification
Authors: Liu Yong , Tang Wei , Ma Yunfeng , Xie Qi 
Published: January 2021

Abstract
On the basis of the traditional ABC classification method, this paper determines another standard to subdivide the goods, that is, hierarchical ABC classification method. The calculation shows that, based on the hierarchical ABC classification method, the efficiency of multi-layer horizontal rotating shelves is increased by 26.94% and vertical shelves by 37.25%. The partition design scheme is helpful to optimize the operation efficiency of the rotating shelf warehousing system and verifies the validity and rationality of the partition design.
Accuracy Assessment of Detecting Cracks on Concrete Wall at Different Distances using Unmanned Autonomous Vehicle (UAV) Images
Authors: Norashikin Bohari Sharifah , Uzzairah Amran Ain , Ain Mohd Zaki Nurul , Safwan Suhaimi Muhammad , Rauf Abdul Rasam Abdul 
Published: January 2021

Abstract
Distance plays an essential role in detcrmining crack detection. Without proper or fixed value of length, the time taken to capture the image of a crack may increase. It is essential to know the capability of Unmanned Autonomous Vehicle (UAV) to capture images for detecting cracks at different distances as it may be useful for building inspection, especially as it shortens the time taken to inspect cracks on buildings. This paper aims to analyze the accuracy of the UAV image in detecting cracks at different distance measurements qualitatively and quantitatively. The observed UAV images of the concrete wall starting from 1m until 6m distances were obtained. The images were processed using Agisoft software, while the edge detection algorithm of the Digimizer software was used for the crack width detection process. It was found that in detecting cracks at different distances, the hairline crack was visible at 3 meters, the narrow crack at 5 meters, and the medium crack at 6 meters. The relationship between distance and size of crack allows for a better understanding on how distance affects the detection of the crack which may be useful for building inspections or in the engineering sector.
A Comparative Flight Altitude Using Multi-Rotor UAV for Oil Palm Tree Counting
Authors: Talib Noorfatekah , Shafizal Mohd Saad Mohamad , Aminah Anshah Siti , Md Saad Nurhafiza , Diana Ghazali Mimi , Amsyar Abdullah Mohd , Jafni Hazwan Wan Mohd Jailani Wan 
Published: January 2021

Abstract
Unmanned Aerial Vehicle (UAV) is a new platform used in various applications such as landslide monitoring, agriculture, mapping, traffic control, mining, and others. In the photogrammetry survey, the use of UAV is cheaper and more effective for 3-dimensional modelling compared with traditional photogrammetry and Light Detection and Ranging (LIDAR). The ability of UAV to acquire data at a different altitude below the cloud coverage and easy to control has made it one of the most popular platforms in surveying applications. The objective of this paper is to count the numbers of the oil palm tree and define the most suitable flight attitude for tree counting based on the different UAV processing software. The study area is located at Felda Laka Temin in Chuping, Perlis. The comparison of flight altitude is 100m and 200m processed in Agisoft PhotoScan and Pix4D Mapper software. The analysis has been done with errors in Standard Deviation and Root Mean Square Error (RMSE) of Ground Control Point (GCP) which are generated using two different software.
Soil Suitability Assessment for Harumanis Mango Cultivation in UiTM Arau, Perlis
Authors: Nasron N , Ghazali N S , Shahidin N M , Mohamad A A , Pugi S A , Razi N M 
Published: January 2021

Abstract
Perlis is one of the largest mango producers in Malaysia cultivating Sala, Harumanis, Thong Dam, Thong Dam Burma, and Melele. Among those types, Harumanis is the most popular and loved by many because of its aroma, texture, and sweetness. The production of quality Harumanis mango depends on the intensive care that is needed by the plant itself such as soil suitability, and climatic factors; such as weather and temperature. The soil suitability is an important role as a nutrient source by plant in maximizing plant growth. The extremely hot and prolonged weather conditions in December 2015 due to El Nino phenomenon are influencing a production of Harumanis products in Perlis on 2016. This phenomenon is effect on a soil moisture content rate for the plant growth. The aim of this study is to determine the soil suitability for the Harumanis mango cultivation in UiTM Arau, Perlis using Analytic Hierarchy Process (AHP) method. Three objectives were performed to achieve the aims which are identifying bulk density, soil pH, and organic matter content value using Inverse Distance Weight (IDW) interpolation method, determining criteria weight of parameter using AHP method, and determining soil suitability for Harumanis mango cultivation in UiTM Arau, Perlis. IDW interpolation method was done by using ArcGIS 10.5, and this method used for assuming value of the whole study area that unmeasured. AHP also applied to determine the soil suitability area for Harumanis mango cultivation. The highest weight value is representing criterion that have relative important and tendency in determining the suitability Harumanis mango cultivation. The results of this study show that 40,551 m2 represent 65% of the total area of the study area is highly suitable soil for Harumanis cultivation. The percentage value is obtained based on a combination of weight criteria between bulk density, soil pH, and organic matter content, where the weight value of bulk density has the relative importance and the highest tendency to determine the soil suitability for Harumanis mango cultivation in UiTM Arau, Perlis.