bluuebunny/crossref_metadata_2025_split huggingface dataset:
Unity3D-based Visual Field Obstruction Analysis and Simulation of Sensor
Authors: Micheng Zha , Liping Zhao 
Published: August 2020

Abstract
Due to the limited resources available for spacecraft installation, various influencing factors and constraints need to be considered in order to better accomplish the relevant tasks. The solar panels unfolded will block the field of view of the sensor and will interfere with the normal operation of the sensor. In this paper, we build a virtual sensor working environment based on the unity3D engine to simulate the field of view and the completion of the space station’s orbit around the Earth in the virtual environment. And using the STL gridded data from the solar sailplane 3D model, we analyzed how the sensor field of view was obscured by the components and then calculated the shielding rate. Finally, the results are validated in a virtual presentation system. The simulation results validate the feasibility of using Unity3D for a sensor field of view presentation. The method has the advantages of being simple to use, intuitive and good simulation results.
SatComSim: a Toolkit for Analysis and Optimization of the field of view of Communications Payload in Space-Ground Communication
Authors: Chen Pan , He Yufeng 
Published: August 2020

Abstract
For high-precision millimeter wave communication tasks, the communication field of view being occluded will seriously affect its communication quality. Accurate analysis of the field of view of the communications payload in space-ground communication, which is occluded by the solar panels and other payloads outside the satellite capsule, is the basis for optimizing the communications payload layout. In order to effectively analyze the occlusion of the communication field of view, this paper proposes a satellite communication field of view calculation simulator - SatComSim, which is based on Pro/E and STK software to obtain the basic data and calculate the occluded communication field of view through collision algorithm to provide important reference analysis results for subsequent research. Finally, we simulate the occlusion of the field of view under different layouts of payloads outside the satellite capsule and field of view ranges based on SatComSim, and optimize the communications payload layout and field of view. The simulation results show the effectiveness of SatComSim in the communications payload field of view analysis, which has an important role in optimizing the communications payload layout and improving the utilization of communication resources.
Failure Analysis of a Circuit with AC Noise in the Output Signal
Authors: Cheng Yaoqing , Wang Yuan , Deng Jiang , Yue Dongxu 
Published: August 2020

Abstract
A failure analysis process of a circuit with AC (alternating current) noise in the output signal is presented. To find out the root of the failure, the circuit principle and the layout of the circuit were analyzed, and it was found that the layout design was not unreasonable. Specifically, the output signal wire is too close to the clock signal wire, which results in the coupling crosstalk. To eliminate the coupling crosstalk, serval measures including the filter design, replacement of resistor, and layout optimization were adopted. This work has reference significance for the anti-interference design of circuits.
An improved two-stream CNN method for abnormal behavior detection
Authors: Sha Luo , Zhiwen Yuan , Kan Xu , Jinli Zhang , Honggang Deng 
Published: August 2020

Abstract
In recent years, abnormal behavior detection has become an active research field in computer vision and image processing. Several methods based on traditional two-stream CNN or 3D-CNN have been proposed and successfully applied in abnormal behavior detection. However, the abnormal behavior data is rarely less in the real scenario, in other words, the data is imbalanced, which may lead to overfitting problem and affect the final results. In this paper, an improved abnormal behavior detection method based on a two-stream CNN method was proposed to address the problem mentioned above. In the proposed method, DenseNet is adopted to extract both spatial and temporal features, and focal loss is employed to alleviate the influence of imbalanced data. The experiment results show that the proposed method provides a good performance in the real-world scenario.
Two Novel Meander-Perforated Plane EBG Structures For 5G Applications
Authors: You Xin , Wu Chenwei , Gui Xiaobao 
Published: August 2020

Abstract
With the advance of 5G network, antennas are required to meet better performance as it’s the key element of 5G network. Meta-surface structure has been demonstrated to be an effective method to improve the performances of an antenna. Whereas, most of the meta-surface structures cannot be applied to 5G applications properly according to the recent research. In this paper, we propose two novel meander-perforated plane (MPP) electromagnetic bandgap (EBG) structures which are named TMPP-EBG and GMPP-EBG. The meander-shape slot of TMPP and GMPP is etched on the top and ground layer respectively. The two novel MPP-EBG structures can be applied to millimeter-wave 5G spectrum from 24GHz to 28GHz. Compared with the conventional mushroom-like EBG structure, the simulated results presented that TMPP-EBG enhances the bandwidth of S21 from 1GHz to 2.5GHz with the same size and GMPP-EBG achieves 14% size reduction with the same resonant frequency.
System Design of Solar Maglev Smart Home Flowerpot
Authors: Tan Zhiyuan , Chen Feng 
Published: August 2020

Abstract
Aiming at the disadvantages of artificial culture and potted plants in traditional home life, the maintenance of scientific intelligence is realized, and a solar magnetic levitation intelligent home flowerpot system is designed. STC89C52 single chip microcomputer as the main core hardware, through the alarm module to provide alarm information, through the device design and program control, to achieve automatic watering and provide light, in addition, the magnetic levitation device to control the inner pot of the flower pot in the state of suspension balance. By experiment, the simulation of smart home flowerpot system based on single chip microcomputer STC89C52 single chip microcomputer is running well, and the intelligent home flowerpot can realize the effect of replenishing water, light and magnetic levitation through system setting.
An Encryption Method Based on “Zipper” Stochastic Dynamic Hashing
Authors: Feng Guanghui , Zhang Chunfu , Si Yujuan , Lang Liuqi 
Published: August 2020

Abstract
This paper studies the theoretical problems and implementation methods of stream ciphers, discusses some deficiencies of conventional stream cipher algorithms, designs methods and rules for random Dynamic Hash Mapping and Bits Scrambling, applies nonlinear feedback shift register (NLFSR) technology, and a new stream cipher method with higher security strength and suitable for encryption of short information is proposed. The purpose is to apply the proposed new method of stream cipher to obtain higher encryption strength and code uniformity, and make some theories and algorithms in the research results have beneficial effects on information security in the era of big data.
Virtualization Construction of Security Components of Edge IoT Agent Based on Security Requirements
Authors: Ma Yuanyuan , Chen Mu , Zhang Tao 
Published: August 2020

Abstract
The IoT edge agent is located in the perception layer of the electric power Internet of Things, and uses the edge computing power to realize the data collection, processing and protection management of the Internet of Things terminal equipment. The traditional edge IoT proxy security solution relies heavily on security equipment and a closed service delivery method. The software-defined security-based virtualization technology can separate the hardware platform from the security function, and can separate the required security components according to changes in the field environment. The image is quickly deployed on the edge IoT agent access platform. However, once the security requirements or operating environment change, new security component images need to be regenerated and redeployed to the edge IoT agent hardware platform. The distribution of the image takes a lot of time, which makes the startup process of the container may take a few seconds or a few minutes, so that it cannot respond to and change quickly in a changing application environment. This paper proposes a method for virtualizing the construction of security components of edge IoT agents based on security requirements. This method first creates a core container image with the minimum operating environment of the security components. On this basis, the operating environment requirements and corresponding security requirements are formally modeled Generate a build strategy, use multi-layer container images to build corresponding security components and complete deployment according to the build strategy. Tests show that this method can shorten the deployment time to milliseconds.
Application of PSO-BP neural network in methane chemical looping reforming reaction
Authors: Liu Yongbin , Ma Xiaoxun , Xu Long 
Published: August 2020

Abstract
In order to overcome the disadvantage of BP neural network easy falling into local convergence, a BP neural network model with particle swarm optimization (PSO) is established to simulate and predict chemical looping reforming (CLR) of methane. The prediction results of PSO-BP model are analyzed, the results showed that the fitting degree of PSO-BP model training set and test set are both above 0.979, and the error of the network is finally stable at 0.013509. It is proved that this model is a good prediction model. The experimental results under a certain reaction condition are predicted by the PSO-BP model, and the relative errors between the predicted date and the actual data are 1.581% at the maximum and 0.118% at the minimum. Then the PSO-BP model is used to simulate and screen all the experimental data, and the optimal experimental conditions are obtained as follows: the ceria-iron composite oxygen carrier with a molar ratio of 7/3 prepared by co-precipitation method, calcinated at 800 °C for 6h, and the proper reaction temperature is 850 °C. Finally, the predicted reaction performance under optimized operating conditions were consistent with the actual experimental.
Temperature Control Optimization for Heat Pipe Based on Particle Swarm Optimization
Authors: Xi Zhu , Chunlin Du , Yao Feng , Jing Wang , Lin Zhu 
Published: August 2020

Abstract
In order to optimize the parameters of heat pipe temperature control during the thermal vacuum test, the particle swarm optimization (PSO) algorithm is used to tune the PID control parameters. According to the heat response data of heat pipe, the temperature control system model of heat pipe is established. The time integral of the absolute value of the control error is selected as the objective function. The parameters of the particle swarm optimization algorithm are compared with those of the attenuation curve method, and compares the control result based on parameter from PSO and the attenuation curve method. The simulation result shows that the optimization algorithm can accelerate the convergence rate. The setting time of system is cut down from 10h to 3.7h, and the maximum overshoot decreases from 16.7% to 1.4%. The dynamic performance of system is effectively improved.
Review of the Development of Rotary Steerable Systems
Authors: Li Fei , Ma Xueying , Tan Yuqi 
Published: August 2020

Abstract
The rotary steerable system is essential for the development of unconventional oil and gas in China, and remains the core of the current oil drilling technology development. This paper outlines the research and development history, classification, development status of the rotary steerable system, and summarizes the advantages and disadvantages of different systems. Moreover, the prospects of the intelligent RSS technology is explored, and the outlook for the future development of the steerable drilling technology is presented.
Cloud Detection for Satellite Imagery Using Deep Learning
Authors: Yanan Guo , Xiaoqun Cao , Bainian Liu , Kecheng Peng 
Published: August 2020

Abstract
Cloud is the most uncertain factor in the climate system and has a huge impact on climate change. Therefore, the study of changes in cloudiness is of great importance for understanding climate and climate change. Cloud detection is also an important research area in satellite remote sensing image pre-processing. But cloud detection is a difficult task due to various noise disturbances in the remote sensing data itself, as well as factors such as ice and snow on the ground. With the rapid development of artificial intelligence technology, deep learning methods have achieved great success in methods such as image processing and classification. In this study, we use the modified U-Net architecture that introduces the attention mechanism for cloud detection. The experimental results show that the method proposed in this paper has a significant accuracy advantage over the traditional cloud detection method, especially in snowy areas and other areas covered by bright non-cloud objects. The effectiveness of this method makes it a great potential for other optical image processing as well.
Comparison of the Schemes in Digital Image Watermarking Techniques
Authors: Ma Yongqiang , Wang Shunli , Song Jinping , Yu Yandong , Sun Wei , Bian Jing 
Published: August 2020

Abstract
With the rapid developing of network techniques and multimedia technology, the data security becomes an important and challenging research topic. The emergence of digital image watermarking technology provides an effective way for multimedia copyright protection, which embeds specific information. This paper analyses the characteristics of digital watermarking technology firstly, then studies some important digital image watermarking algorithms, finally compares the schemes in digital image watermarking techniques. The work aims to compare the differences of the schemes in digital image watermarking techniques and improve the performance of digital image watermarking.
A rheological approach to assess the printability of thermosensitive chitosan-based biomaterial inks
Authors: Rahimnejad Maedeh , Labonté-Dupuis Thierry , Demarquette Nicole R , Lerouge Sophie 
Published: August 2020

Abstract
For extrusion-based bioprinting, the inks must be printable and rapidly present sufficient mechanical properties to support additional layers and provide a cohesive, manipulable structure. Thermosensitive hydrogels may be interesting candidates. However, the use of these materials is particularly challenging, since their rheological properties evolve with time and temperature. In this work, a rheological approach to characterize the printability of chitosan-based thermosensitive inks was developed. The method consists of evaluating: (1) the gelation kinetic at room temperature and at 37 °C; (2) shear-thinning behavior to estimate the shear rate applied during printing as a function of printing parameters; and (3) the viscosity after shear removal (recovery test) to simulate behaviour after biomaterial deposition. Hydrogels containing 2 and 3% w v−1 chitosan, combined with different gelling agents (sodium hydrogen carbonate (SHC), phosphate buffer, beta-glycerophosphate (BGP)) were tested, and compared with alginate/gelatin bioink as controls. To correlate the rheological studies with real printing conditions, a 3D-Discovery bioprinter was used to print hydrogels and the visual aspect of the printed structure was observed. Unconfined compressive tests were carried out to study the impact of applied shear rate during printing on the mechanical properties of printed structures. All pre-hydrogel solutions presented shear-thinning properties. The recovery of viscosity was found to depend on the hydrogel formulation, as well as the level of shear rate and the state of gelation at the time of printing. Formulations made with SHC and phosphate buffer presented too rapid gelation and phase separation, leading to poor printing results. One particularly promising formulation composed of SHC and BGP, when printed at a shear rate of 140 s−1, before its gelation time (t
g ⩽ 15 min), resulted in good printability and 3D structures with rigidity comparable with the alginate/gelatin bioink. The methodology introduced in this paper could be used to evaluate the printability of other time- and temperature-dependent biomaterial inks in the future.
The Effects of organic fertilizer complement by addition Biological control agents on Rhizoctonia solani Kühn Causing of Eggplant root rot Disease
Authors: Abd Ali Hadi Matloob Ahed , Al-Baldawy Muneer Saeed M. 
Published: August 2020

AbstractThe research was aimed to study of some plant extracts,Trichoderma harzianiumand Plant growth promoting rhizobacteriaAzotobacter chroococcumand addition of organic fertilizer made of Date palm leaves in control Eggplant root rot disease caused byRhizoctonia solanifungus. Results of the field survey showed the presence of Eggplant root rot disease in all the surveyed districts Baghdad, Babylon and Karbalaa province with disease incidence of 33.3-83.0% and severity of 16-60%.T. harzianiumandA. chroococcumhave highly antagonistic ability against of pathogenic isolates of R. solani under laboratory conditions. The plant extract that used in study (Cinnamon, ginger, Milk thistle, Crack willow) had against effect on the growth of pathogen on PDA. superior of Cinnamon extract which was prevent growth of pathogen. The results of the field experiment and lath house condition indicated that Integrated treatment with theT. harzianiumandA. chroococcumcaused significant reduction in disease severity to 33.33% and caused significantly enhanced eggplant growth parameters. The organic fertilizer of Date palm leaves increased the Efficiency of biological control agents. The integrated treatment betweenT. harzianiumandA. chroococcumand organic fertilizer of Date palm leaves showed decreased in disease severity to 20.00% then increasing the plant growth parameters into 17.33 cm, 18.33 and 2.77g respectively. These results were appeared for the first time in Iraq thatT. harzianium,A. chroococcumand organic fertilizer of Date palm leaves showed high antagonistic withR. solaniand decreased severity of Eggplant root rot disease.
Radionuclide concentrations and Estimation of the Corresponding Annual Effective Dose due to gamma radioactivity in Powdered Milk in Babylon governments
Authors: Ali Shakir Anfal , Kadhim Muttaleb Mohsin 
Published: August 2020

Abstract
Natural radionuclides in ten of the most available types of milk powder among various brand names that collected from local markets in Babylon government have been analyzed by means of a gamma –ray spectrometry NaI(TI) and estimated of the annual effective dose intake of the radionuclides. The concentration of226 Ra, 232Th and 40K have been found to vary from (57.2645±1.853031) Bqkg−1 to(0.299814±0.1340 ) Bqkg−1 with an average value of (20.67518±0.134077) Bqkg−1,from (36.7284±1.422407 ) Bqkg−1 to (0.37037±0.066679) Bqkg−1 with an average value of.( 12.41975±0.65718 ) Bqkg−1and from (481.521±5.65807) Bqkg−1 to (268.0537 ± 0.299814) with average value (377.5035±4.460395) Bqkg−1 respectively,the result showed that the concentration of radionuclides exceeded the result reported in the world wide. The dose due consumption of milk by public has also been determined and has been below the dose limit recommended by world health organization.
Effect of DAP Fertilizer Source and Nano Fertilizers (Silicon and Complete) Spray on Some Growth and Yield Indicators of Rice (Oryza sativa L. cv. Anber 33)
Authors: Al-Khuzai A. H. G. , Al-Juthery H. W. A. 
Published: August 2020

Abstract
In order to evaluate some growth and yield indicators of rice (cv. Anber 33) towards the various fertilizer treatments (DAP fertilizers and Nano fertilizers), a field experiment was implemented in the summer season of 2019 in one of the rice fields of Ghamas district/Al-Diwaniyah Governorate located between the points (3509948. 464130) – East and (3509938. 464132) – North, with the total area of 435 m2. The experiment consisting of two factors was designed according to the Randomized Complete Block Design (RCBD) with three replicates for each treatment, as the first factor represented by DAP fertilizer source consisted of four treatments (Control, M-DAP, O-DAP + micronutrients and O-DAP high K), while the second factor consisting of spraying Nano fertilizers consisted of four treatments (Control, Nano silicon, Nano complete and Nano silicon + Nano complete).
The studied indicators on the rice plant included chlorophyll content in leaves (SPAD unit), plant height (cm), biological yield (ton h−1), grains yield (ton h−1), harvest index (%), fertilization efficiency for production (%). Results showed the superiority of O-DAP + micronutrients fertilizer in achieving the highest chlorophyll content in leaves, biological yield, grains yield and fertilization efficiency for production compared with M-DAP fertilizer which achieved the highest mean of plant height, as well as O-DAP high K fertilizer which achieved the highest mean of harvest index. Also, spraying with Nano fertilizer habits with significant results on the studied indicators, especially with the treatment Nano (silicon + complete) that achieved the highest means for the majority of the studied indicators, and that their interaction between O-DAP + micronutrients fertilizer with Nano (silicon + complete) fertilizers achieved the highest meanes for the most important characteristics of the crop represented by the chlorophyll content in leaves, grains yield, fertilization efficiency for production.
Prediction of Body Weight at Six Months of Age from Body Measurements at Birth in Iraqi Buffalo Calves
Authors: Faraj Al-Hillo Murtadha , Luaibi Dagher Al-Khauzai Allawi , Allawi Luaibi Al-Hraishawi Israa 
Published: August 2020

AbstractThis study has been conducted in Basrah province during 2019 by using 90 buffalo calves, weight at birth(W0) and weight at six months of age (BW6) and their body measurements at the same age such as, body length (BL), wither height (WH), hip height (HH), chest grith (CG) and hip girth (HG) are recorded. The current study aims to predict (BW6) from the body measurements at birth, also to predict BW6 from their body measurements at the same age.The results obtained of the current study can be summarized as follow :The overall means of W0 and BW6 are 37.159 and 124.241 kg respectively, and the overall means for body measurements at birth and at six months of age are : 76.778 (BL0) 73.088 (WH0), 91.470 (HH0), 104.274 (CG0) and 112.780 (HG0) and 90.815 (BL6), 88.333 (WH6), 102.852 (HH6), 122.00 (CG6) and 129.852 cm for (HG0) respectively. The results in this study explain that the first equation which depending on BL0 is the best predictor to weigh at six months of age where inquires a high correlation coefficient as 0.577 with adjusted R2=0.320.It is observed that the twenty –fourth equation is the best equation among the equations to predict BW6 from body measurements at birth which is based on four measures (WH0, HH0, CG0, HG0),as it achieved adjusted R2=0.384 and with allow standard error estimate (4.20) . It is found that first equation is the the best that depended on (BL6) as achieved adjusted R2=0.447. Significantly simple correlation coefficients between BW6 with their body measurements are ranging from 0.209 to 0.676 at six months of age. Also it is observed that fourth equation to predict W6from body measurements at the same age is the best which is based on (BL6, HG6),where the values of correlation coefficient and adjusted R2are 0.700 and 0.470 respectively and the standard error estimate for this eqation is low (3.90) comparison with other equations.Finally, previous equations could be used to predict weights from body measurements at birth and six months of age, easily, cheaply, rabidly and well accepted by the breeds when weighing scales are not available in the commercial herds.