bluuebunny/crossref_metadata_2025 huggingface dataset:
Features of coating crystallization during reaction synthesis of a three-layer Ti–Ni–Ti nanolaminate
Authors: Marchenko E S , Baigonakova G A , Gunther S V , Dubovikov K M
Published: August 2020

The paper presents the results of study of the structure, phase composition and morphology of a nanocrystalline coating produced by reaction synthesis of a three-layer Ti–Ni–Ti nanolaminate. A characteristic feature of the coating is its full crystallinity, gradient structure and the absence of non-metallic inclusions. TEM and XRD analyses showed that reaction synthesis results in formation of a two-layer coating with a thickness of 0.9 – 1.0 μm. The thickness of the outer TiO + TiO2 and inner Ti4Ni2O layers is equal. There are no breaks between the synthesized coating and the substrate. The results of AFM and wetting showed that the surface of the synthesized coating is rougher than that of the deposited Ti–Ni–Ti nanolaminate. It exhibits an island relief and demonstrates hydrophilic properties.
Destruction of Oil-Water Emulsions in an Ultrasonic Field
Authors: Volkova G I , Yudina N V
Published: August 2020

Effect of impact of acoustic conditions on the breakdown of a stable oil-water emulsion is studied. The emulsion contains 80, 10 and 10 wt% of a solution of petroleum paraffin in 6 wt% of kerosene, distilled water, and highly resinous oil, respectively. Samples are treated in an ultrasonic field for 1-15 min at a frequency of 22 kHz, intensities 2, 6, 18 W/cm2, and temperatures 0 and 20 °C. It is shown that under optimal conditions of treatment (temperature 20 °C, 10 min, field intensity 18 W/cm2) ultrasound causes the breakdown of the model emulsion. After demulsification, water, paraffins, and asphaltenes are concentrated in the lower layer. Ultrasonic treatment can be successfully used to treat watercut oils for transport.
The influence of ultrasonic treatment on the properties of oil systems
Authors: Volkova G I , Morozova A V
Published: August 2020

In this work, we summarize experimental data on the influence of ultrasonic treatment alone and sonication with subsequent introduction of oil with high resin content, on the structural and rheological parameters of highly paraffinic oil. Our results clearly indicate that Ultrasonic treatment of oil stimulates the crystallization of paraffin. This leads to an increase in viscosity, pour point and the amount of paraffin deposited. The introduction of highly resinous oil into the sonicated highly paraffinic oil improves the viscosity-temperature characteristics, reduces the specific energy of degradation of the supramolecular structure, and positively affects the mass and the structure of sediments. Significant inhibition of the process of sedimentation and improvement of the viscosity-temperature properties is observed only when 10 wt.% of resinous oil is added to sonicated paraffinic oil. The results of our work indicate that mixing oils with various compositions in combination with ultrasonic treatment could be used for the transportation of highly paraffinic feedstocks through pipelines at low temperatures.
Combined effect of magnesium isotopes and antibiotics on morphology of E. coli
Authors: Letuta U G
Published: August 2020

In this paper, the morphology of Escherichia coli bacteria grown in the presence of magnesium isotopes (magnetic 25Mg, non-magnetic 24,26Mg and natural Mg), and antibiotics of various groups were studied. Atomic force microscopy (AFM) was used as the main method. When the bacteria were cultured in the presence of different groups of antibiotics, the following morphological changes were detected: filamentation, cell lysis, cell adhesion, cell wall damage, and the formation of “depressions” or pores. For E. coli bacteria cultured on a medium with tobramycin and lincomycin, a magnetic magnesium isotope effect 25Mg in bacteria morphology was detected, which was manifested as a change in the roughness of bacterial cells. Both of these antibacterial drugs act on the same intracellular system – protein synthesis. It has also been observed that the elongation of bacterial cells, when exposed to levofloxacin and ciprofloxacin, depends on the type of magnesium isotope in the nutrient medium. The combined action of the 25Mg magnetic isotope and quinolones on bacteria makes it possible to obtain the process followed by significant elongation of cells, thereby indicating improved antibiotic effect, as compared with the nonmagnetic 24,26Mg isotopes.
Physicochemical characteristics of the wide fraction of the coal tar from ArselorMittal Temirtau, JSC
Authors: Ordabayeva A T , Meiramov M G , Gazaliev A M
Published: August 2020

Gas-liquid chromatography was used to establish the composition of the wide fraction with a final boiling point of up to 410 °C that includes high-boiling—primarily polyaromatic—compounds. Binary composite iron- and cobalt-based catalysts were synthesized on the substrate from synthetic zeolites and carbon carrier for hydrocatalytic processing of the wide fraction of the tar. The paper elucidates the conversion degree and quantitative composition of the forming products to be different and dependent on the activity and selectivity of the catalysts that, in their turn, are connected with the surface area, dimension and porous structure. When hydrogenating the tar wide fraction in the presence of composite catalysts, such as Fe-Co/CaA, Fe-Co/C and Fe-Co/ZSM, the content of naphthalene derivatives reduces as compared to their initial content in the fraction. This is due to the hydrogenation of naphthalene during the hydrocatalytic processing of the tar fraction, which yields tetraline. It was established that the iron-containing binary composite catalyst on the carbon carrier manifests higher catalytic activity and selectivity as compared to the catalysts based on synthetic zeolites.
Simulation the time response to ultra-short pulse excitation of two cascaded modal filters with a passive conductor in the reference plane
Authors: Samoylichenko M A , Zabolotsky A M
Published: August 2020

The paper considers protection of radio electronic equipment against conductive excitation of an ultra-short pulse (USP) by using a serial connection of two modal filters (MF) of the same length, which have a passive conductor in the cutout of the reference plane. The amplitude at the output was reduced by 12.5 times in relation to the half of the e.m.f. with 50 Ω resistors at the ends of the passive conductors. The influence of boundary conditions at the ends of the passive conductors of two MFs was considered. For OC-SC, OC-SC the amplitude reduction by 70 times was achieved.
The impact of trauma of the mucous membrane of the nasal septum in rats on behavioral responses and changes in the balance of the autonomic nervous system (pilot study)
Authors: Kastyro I V , Inozemtsev A N , Shmaevsky P E , Khamidullin G V , Torshin V I , Kovalenko N , Pryanikov P D , Guseinov I I
Published: August 2020

The nasal cavity surgery are usually traumatic surgery. Septoplasty leads to reactive inflammation, edema and hypoxemia. In the present study, we study the response of the autonomic nervous system (ANS), its role in changing behavioral reactions, as well as possible mechanisms of impairment of cognitive and adaptive reactions in rats after trauma to the nasal septum mucosa. The nasal septum mucosa was scarified in 10 adult mongrel male rats. The day before surgery and 2 days after surgery animals were tested in the square-shaped “open field” (OF) and electrocardiogram (ECG) in 1 hour before OF. ANS condition was analyzed by the high-frequency component of the heart rate (HF) and the low-frequency component of the heart rate (LF). The correlation of HF & LF with rat behavior in the open field before and after surgery was performed. Simulation of septoplasty in rats provokes a powerful stress response in the form of a sharp imbalance of ANS towards its PNS on the 2 postoperative day. Changes in behavioral and research reactions of rats in OF are manifested in a decrease in research activity, a display of uneasiness, depression-like state, as well as anxiety.
Diagnostic of Cystic Fibrosis in Lung Computer Tomographic Images using Image Annotation and Improved PSPNet Modelling
Authors: Francis N J , Francis N S , Axyonov S V , Aljasar S A , Xu Y , Saqib M
Published: August 2020

The research deals with the development of an algorithm for detecting pathological formation in cystic fibrosis using the PSPNet model with focal loss. The model allows data sets to be entered in accordance to their similarities based on their pathological diagnostic signs. The simple and effective algorithm structure groups annotated images, processes them in a multi-scale CNN, and localizes areas of cystic fibrosis in the lungs with high accuracy.
Design of turbomachinaries using numerical simulation results
Authors: Gurina E
Published: August 2020

Computer simulation is the most modern method in the field of evaluating the parameters of a developed product in engineering problems. The essence of this method is to replace the real physical process that occurs during the operation of turbomachinery, with its mathematical model, and solve the problem with the help of modern computers. An approach with the replacement of a long (from several months to a year) and expensive development cycle by a numerical experiment (from several days to a month) will allow us to detect and eliminate the main flaws at the stage of product design, without realizing intermediate prototypes. Distributions of the main gas-dynamic parameters of the process studied (airflow velocity and pressure, mass flow rate) were obtained.
Using N-norms for analysing a device with a single modal reservation
Authors: Zhechev Y S , Zhecheva A V , Medvedev A V , Gazizov T R
Published: August 2020

The paper investigates the results of N-norm calculations for a device with a single modal reservation. Using a quasistatic approach, we obtained a time response at the far end of the reserved and reserving conductors for the structure with and without losses. The authors analyse N-norms of decomposed pulses at the far end of the reserved and reserving conductors. The results show that the probability of failure of the reserving equipment is lower than that of the reserved equipment.
Optimization of fuzzy classifier parameters with a combination of gravitational search algorithm and shuffled frog leaping algorithm
Authors: Bardamova M B , Hodashinsky I A
Published: August 2020

In the present article, we analyse the effectiveness of combining two metaheuristic algorithms for tuning parameters of a fuzzy classifier. To work with imbalanced data, a fitness function is used based on a compromise between the overall accuracy and the geometric mean of accuracy of each class. The experiment was performed on data sets from the “Knowledge Extraction based on Evolutionary Learning” repository with different imbalance coefficients.
Designing LBP-descriptor for reconfigurable computing environments
Authors: Shashev D V , Taganov A A , Mondal M , Okunsky M V
Published: August 2020

The article outlines a new approach to constructing Local Binary Patterns (LBP-descriptors) for implementation on computers with parallel-pipeline architectures. This approach can be effectively applied to pedestrian detection. The new algorithm is optimized for the original model of the reconfigurable computing environment, which allows it to be implemented in the form of combinational logic with high speed. A mathematical model for the new LBP - descriptor is also presented.
Analysis of the statistical characteristics of the discrete breater in CuPt7 crystal by the method of molecular dynamics by GPU-calculations
Authors: Eremin A M , Zakharov P V , Starostenkov M D
Published: August 2020

The article uses the molecular-dynamic method to calculate the statistical characteristics of a quasi-breather in a CuPt7 model crystal. In the calculations, a high-performance computing complex based on a GPU accelerator was used, which provided the necessary speed and accuracy of calculations. The phonon spectrum of this model crystal was calculated, and the dependences of the standard deviation, coefficient of variation, and average frequency of the model quasi-breather on its lifetime were revealed. The analysis of statistical data allows concluding that in the model under consideration, using the interatomic interaction potential obtained by the immersed atom (EAM) method, the quasi-breather model solution does not differ significantly from the corresponding exact breather. Moreover, the final destruction of the quasi-breather occurs at a time when the standard deviation of the frequencies exceeds the difference between the average frequency of the quasi-breather and the upper boundary of the phonon spectrum of the crystal. At this moment, the delocalization of vibrations and the dissipation of energy through the crystal in the form of low-amplitude thermal vibrations of the lattice occur. This may indicate the stability of the obtained discrete breather and the possibility of excitation in real alloys of the considered composition.
Analysis of city transport network based on geoinformation systems in transport zones of industrial city
Authors: Lebedeva O A , Poltavskaya J O
Published: August 2020

The analysis of transport accessibility is a standard task requiring the search for the optimal solution, the solution of which is necessary for the harmonious development of the urban environment in general, and the effective organization of the transportation process in particular. The article discusses the indicators necessary for determining transport accessibility based on analysis of the urban transport system and calculation methods using geographical information systems. The main parameter is time-based accessibility from the central part of the city to other transport zones. To determine the rank of the transport zone, the following statistical characteristics are required: road network density in urban areas; a number of jobs, a number of equipped parking spaces; the number of objects of gravity in transport zones. A decision support system based on geographic information systems can be carried out by two methods: the choice of a relatively ideal solution and simple additive weighing. Analysis of transport zones can improve the quality of statistical data on urban transport medium. The article presents the models, the use which is necessary for efficient operation of urban transport, as well as indicators necessary for the stable functioning of the infrastructure. It can be integrated into planning systems and sustainable development of urban transport and planning.
Designing a knowledge base for the development of intelligent models based on the conceptual structure of activity act
Authors: Sorokin A B , Brazhnikova E V , Zheleznyak L M
Published: August 2020

This article discusses the development of intelligent models based on the conceptual understanding of a dynamically complex environment. The method proposed in this work allows solving these problems based on a synthesis of the activity approach and situational analysis. As a result, the conceptual structure of the act of activity is realized. The combination of these structures leads to the construction of a decision matrix, which represents a knowledge base about a dynamically complex environment. An analysis of these interrelated aspects leads to the construction of four conceptual plans: the functional structure, processes, context and regularity. Conceptual plans make it possible to combine model ideas about the subject area, thereby simplifying the choice of intelligent modules for decision support systems. Recognition of the task of constructing conceptual structures as non-trivial, complex and time-consuming led to the idea of implementing the software system “Designer + Solver + Interpreter”. The software toolkit allows not only visualization of conceptual structures and implementation of knowledge bases for intelligent models, but also the studies for completeness and adequacy.
High-speed algorithms for automatic manipulators control systems
Authors: Osokin Yu A
Published: August 2020

This article presents options for implementing high-speed algorithms for controlling automatic manipulators operating as part of robotic complexes (RTCs). Software control systems for automatic manipulators with the use of noise-resistant coding algorithms are considered in the conditions of operation in production conditions, when there is instability in the supply of energy resources, the presence of sources of network interference, interference that violates the safe working conditions of radio-electronic equipment. Examples of implemented control algorithms with different software cycles are given, regarding into account the peculiarities of production. A comparative analysis is made with analogs that have similar technological characteristics.
Extraction of structured data from unstructured medical records using text data mining technologies: process automation
Authors: Moskalev I V , Krotova O S , Khvorova L A , Bobkova D G
Published: August 2020

The paper discusses technologies for processing text-based medical data stored in the Microsoft Word text format. Processing such data is aimed at data mining the text for new, potentially useful knowledge that can later be used to study various diseases and to form a personalized approach to diagnosis and treatment. During the study, 3244 depersonalized medical records of children and adolescents in Altai Krai suffering from diabetes mellitus were processed. Information is stored in the records in both structured and unstructured forms. Most of the valuable data, such as the dynamics of the disease course, patient complaints, patient’s life history, etc. are kept in natural language. The difficulty of processing text medical records is associated with a great number of abbreviations, synonyms and misprints, which makes it impossible to use a unified template. Therefore, the study is aimed at minimizing information losses while extracting knowledge by means of applying various text data mining methods. The practical outcome of this study is a database containing a large amount of valuable information on diabetes mellitus, various types of its clinical course and complications. The obtained data will be further used to build mining models for diagnosing and predicting the disease and its complications. To reach the goal of the research, we used the PostgreSQL DBMS and modern linguistically oriented software created within the framework of the Python programming language and its libraries: python-docx, natasha, Natural Language Toolkit (NLTK).
Finite Element Dynamic and Static Analysis of Agaricus bisporus Picking Robot Mobile Platform
Authors: Chen Hao , Yu Tao , Chai Jianfei
Published: August 2020

In response to the design needs of the spore mushroom picking robot mobile platform, SolidWorks software was used to build the model and ANSYS software as the analysis tool. The static and modal analysis of the mobile platform of the Agaricus bisporus picking robot was carried out, and the stress cloud diagram, displacement cloud diagram and vibration mode diagram were obtained. The resulting stress from the stress diagram is less than the yield stress of the material, but the stress concentration is large. After the improvement of the connection method of the mobile platform parts, the stress concentration of the mobile platform becomes significantly smaller, which is more in line with the design requirements. This is of great significance to the researchers of picking robot mobile platforms.
New Energy Power Prediction Optimization Based on Improved TF-IDF Single Machine Information Feature Extraction
Authors: Meng Liu , Ranjie Liu , Yidan Ren , Yue Qi , Jingjie Bai , Manshuai Wang
Published: August 2020

In order to lean management of new energy consumption, based on the characteristics of wide range and complex structure of unstructured data including dispatch and maintenance logs in the power grid system, based on the idea of improving TF-IDF, a DF-IDF data reflecting time slots is proposed Feature extraction algorithm, taking wind power in a power grid in the northern region as an example, extracts keyword and part-of-speech features from unstructured power grid dispatch logs and maintenance data to achieve single-machine state data screening and eliminate irrelevant state data. With the help of the effectiveness of the stand-alone information feature extraction algorithm, the management methods of new energy power prediction optimization are then studied. The results show that in the case of highly complex data, the average accuracy of the DF-IDF-processed feature extraction method is 8% and 7% higher than the traditional TF-IDF method and the One-Hot method. At the same time, it also provides pre-processing methods for stand-alone power prediction calculation, accuracy analysis, and summary station power prediction optimization in new energy power prediction and optimization, improving the rationality, accuracy, and effectiveness of data collaborative processing, and laying new energy lean. Contain the foundation of management level.
Deep Learning Methods in Communication Systems: A Review
Authors: Liao Feifan , Wei Shengyun , Zou Shun
Published: August 2020

With the rapid development of modern communication systems, the amount of data has exploded, the system structure has become increasingly complex, and existing communication theories and technologies are facing huge challenges. The successful application of deep learning technology in the fields of images, speech, natural language processing, and games provides a possible solution for the theory and technology of communication systems that goes beyond traditional ideas and performance. This article mainly summarizes the application cases of deep learning methods in channel estimation, signal detection, and modulation recognition, and shows their outstanding performance compared to traditional communication theory and technology. Finally, we analyze the opportunities and challenges faced by deep learning-based communication technologies.
Failure Analysis of a Chip Damaged by Electro-Static Discharge
Authors: Cheng Yaoqing , Huang Wei , Hang Li , Qian Lingli , Zhang Wei
Published: August 2020

A process of failure analysis of a COMS chip damaged by Electro-Static Discharge (ESD) is presented. The method of the thermal image was used to locate the failure spot. To find out the root of the failure, the circuit principle and the layout of the chip were analyzed, and it was found that the layout design was not unreasonable. An ESD test was carried out to confirm the analysis. This work has reference significance for the failure analysis and reliability improvement of the integrated circuit product.
Research on Development and Application of Underwater Acoustic Communication System
Authors: Tang Nvzhi , Zeng Qian , Luo Dongyan , Xu Qinyun , Hu Haiyang
Published: August 2020

Underwater acoustic communication technology is the core technology in the marine field, occupying a very important position, and has an important supporting role for underwater observation operations and military activities. Underwater acoustic technology is currently the most widely used and longest underwater wireless communication technology. With the increasing demand for development, the complexity of underwater acoustic channels, underwater environment and other factors make the communication speed, communication distance and communication stability of underwater acoustic communication greatly restricted. Despite these limitations, underwater acoustic communication is still valued by professionals from various countries and industries, and has been developed and applied to some extent. This article summarizes the basic content of underwater acoustic communication technology, leads to its general structure as a communication system, the current development of underwater acoustic communication technology, and the characteristics of underwater acoustic communication systems due to the characteristics of underwater acoustic channels. This article summarizes the development and some applications of the underwater acoustic communication system and the full text and some prospects for the future underwater acoustic communication.
Proportional model of constant temperature and humidity control
Authors: Xiaojuan Fu , Hongkun Wu
Published: August 2020

In this paper, we use the experimental data provided by an opto-electronic Technology Co., Ltd. in Xiamen to do mathematical modeling, find the dew point temperature under this environment requirement, and use it as the setting value of dew point control, and then establish a simple proportional model of dew point control, then, the actual dew point temperature DP is calculated in real time by the scale model, and compared with the set value, according to the comparison result, the cold water valve is controlled, and the ratio of the opening degree is

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p

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; According to the Return Air’s temperature and Humidity to control the Hot Water Valve and Humidifying Valve Separately, the constant temperature and humidity control of the system is realized. The control system has high precision, temperature can reach ±0.5°C, humidity can reach RH±10%, strong stability and fast response.
Research on deep reinforcement learning multi-path routing planning in SDN
Authors: Wang Zheng , Lu Zhengyong , Li Chuanhuang
Published: August 2020

Based on the research of current SDN traffic scheduling technology, combining the advantages of reinforcement learning in strategy optimization and the characteristics of SDN network resource centralized control, and using the neural network of depth learning to fit the Q-value table, this paper proposes an intelligent multi-path routing planning method based on depth reinforcement learning. Experiments show that the method can use the characteristics of SDN to route the network traffic in multi-path according to the current state information and traffic characteristics of the network; using the advantages of reinforcement learning, it can find multiple forwarding paths for different flows that conform to their traffic characteristics, and improve the utilization rate of the network link bandwidth; and using the neural network of deep learning to fit the Q value in the traditional reinforcement learning algorithm Table.
DOA Based on Manifold Separation Technique and Dimensionality Reduction
Authors: Zhao Na , Wei Hua , Lu Xingyu
Published: August 2020

In this paper, we investigate the high resolution of arbitrary array applied to wireless positioning system and propose a Direction of Arrival (DOA) estimation algorithm based on the Manifold Separation Technique (MST). In order to reduce the error of MST model caused by noise, this algorithm uses the MST to decompose the steering vector into sampling matrix (only describing the array itself) and Vandermonde form (only relating to the direction of arrival), the steering vector of arbitrary array is represented by combining the Effective Aperture Distribution Function (EADF). In order to reduce the complexity of Multiple Signal Classification (MUSIC) algorithm of two-dimensional array, the 2D spectral peak search is decomposed into two one-dimensional spectral peak searches using dimensionality reduction methods. Simulation results show that the algorithm not only reduces the computational complexity, but also has good performance of low signal to noise ratio (SNR).
Unity3D-based Visual Field Obstruction Analysis and Simulation of Sensor
Authors: Micheng Zha , Liping Zhao
Published: August 2020

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

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

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

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

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

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

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

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

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

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

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

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

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

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

The 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

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.