bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study of Spacecraft Low Frequency Cable Installation Technology Oriented to CSB Bus
Authors: Song Xiaohui , Wang Wei , Xing Xianing , Zhang Qian , Liu Xu , Lian Huaqing , Gu Lei 
Published: February 2022

Abstract
In response to the needs of spacecraft cable three-dimensional crossover layout, research on cable installation methods based on CSB bus has been carried out. Aiming at the status of using CSB bus cable in the satellite communication cabin of DFH-4 platform for the first time, on the basis of detailed analysis of the performance of CSB bus, the laying and binding methods are analyzed and tested, and the cable installation method on the carbon fiber bracket is proposed. Technical solutions. It has been proved through practice that this method meets the actual needs of satellites, solves the problems of laying and tying the bus cables of the communication cabin, and effectively meets the needs of the spacecraft cable three-dimensional crossover layout, and greatly improves the spacecraft assembly efficiency.
Application of Information Processing System Based on DSP in Electronic Information Engineering
Authors: Huang Jingbo 
Published: February 2022

Abstract
On the one hand, target tracking technology is widely used in navigation, guidance, alarm and monitoring and other military fields, on the other hand, it is also widely used in civil fields such as traffic information monitoring and security. This paper mainly studies the application of information processing system based on DSP in electronic information engineering. This paper introduces DSP information processing system in detail. Aiming at the comprehensive requirements of real-time and tracking performance of the target tracking system, multi-feature fusion optimization method is adopted to improve the particle filter tracking algorithm to improve the accuracy of the tracking algorithm. In this paper, the simulation results show that the improved algorithm has a certain scale and occlusion robustness, and can adapt to long-term stable real-time tracking.
Analysis and Research on the Interference of Civil Aviation Radio Navigation Equipment
Authors: Zhang Xianhao , Luo Zhongmei , Kang Guo 
Published: February 2022

Abstract
Aiming at the problem that civil aviation radio navigation equipment is susceptible to interference more and more frequently, through the study of aviation radio interference theory, the categories of civil aviation radio interference are classified, and then the source and harm of radio interference are analyzed, and specific measures to solve the interference problem are proposed. This is of great help to solve the difficult problem of radio interference signals, and is conducive to reducing the probability of civil aviation radio navigation equipment being interfered, thereby ensuring aviation flight safety.
Research on Application of Artificial Intelligence in Communication Network
Authors: Bai Zijun 
Published: February 2022

Abstract
Artificial intelligence has been widely utilized in people’s lives, especially in communication. The article provides a review of the recent research status of the application of artificial intelligence in communication, the usefulness of big data, machine learning, and cloud computation in this field. Several examples of how artificial intelligence is used to communicate are illustrated to discuss better and form a framework of modern artificial intelligence applications. The aspects of concern in ethics of using artificial intelligence are also mentioned, as ethics are the principles judging whether the technologies are suitable for humans to use or not. In order to predict the future development of communication, an introduction of previous progress in the field of communication is provided and sorted into categories of wireless communication, ethical concerns, and network monitor and control. This study confirms that the future development of artificial intelligence is mainly in two aspects: SDN (Software-defined network) and NFV (Network function visualization). AI will thus be used in enhancing communication efficiency.
Handover Scheme of LEO Satellite Network Based on Geographical Division Scenario
Authors: Liu Feng , Zhai Yurong 
Published: February 2022

Abstract
On the basis of completing the division of geographical regions, for the problem of satellite mobile handover, this paper proposes a satellite selection algorithm for selecting the satellite with the longest coverage time to reduce the handover rate. Also based on the idea of "centralized location management", this paper proposes the satellite handover scheme based on the geographical division scenario to update the satellite routing table entries and ensure the correct routing of data packets. Regarding the user handover problem, based on the idea of "decoupling data transmission and address update", a user handover scheme based on geographical division scenario is proposed, which reduces handover delay and signaling overhead compared to traditional satellite network handover schemes.
The Electronic and Ferroelectric Properties in Strontium and Zirconium Doped BaTiO3 from First-Principles Calculations
Authors: Shen Haolei , Wang Peng , Tan Rongri , Yu Yousheng 
Published: February 2022

Abstract
The structure, electronic and ferroelectric properties of BSZT were investigated based on first-principles calculations. The result of relaxation structure and two-dimensional charge density indicates that the tetragonal crystalline structure is distorted after Sr and Zr doping. The double-well curve fits well with the phenomenological Landau-Devonshire theory. Moreover, the smaller Zr ion displacement leads to a lower spontaneous polarization of BSZT than the original BaTiO3. The hybridization between the 3d states of Ti and the 2p states of O, and the hybridization between the 4d states of Zr and the 2p states of O are observed in the density of states, which is the reason for the ferroelectricity of BSZT materials.
Dynamic Power Allocation in D2D Communications Using Deep Reinforcement Learning
Authors: Zhou Jun 
Published: February 2022

Abstract
Due to the development of communication technology, mobile devices continue to increase. As one of the critical technologies of 5G, D2D communication is an up-and-coming technology. In this paper, multiple D2D pairs usually multiplex the same channel, which will cause serious channel interference. To solve this problem, a distributed deep reinforcement learning framework is proposed, which can well adapt to the power allocation in a dynamic environment. The simulation results show that compared with other benchmark methods, the proposed scheme can improve the overall D2D rate.
Design of Multi-band Compatible Trigeminal Monopole Array Antenna for Unmanned Aerial Vehicle
Authors: Zhang Zhiwei , Lin Bin , Huang Yuting , He Ye , Chen Haoyuan , Zheng Meijie , Wen Shuyao 
Published: February 2022

Abstract
Compared with the performance index of UAV system antenna, a compatible trigeminal monopole array antenna is proposed. This antenna uses photosensitive resin as the substrate material, and can be made with UAV shell using 3D printing technology, realizing the integration of the antenna system and UAV. The antenna uses a trigeminal monopole antenna as the basic radiation unit, which is arranged in accordance with the Sierpinski fractal structure to form fractal radiation array. While enhancing the radiation through the array, it ensures that the antenna has a larger working bandwidth. In radiation performance test, the antenna is operating over a frequency spectrum of 1.038-11.916 GHz, and the minimum S11 is -37.92 dB. The proposed antenna has multi-band compatibility, better radiation performance, and greater performance redundancy.
A method of multi-channel SAR moving target detection and imaging based on complex CNN
Authors: Deng Zhao-Rong , Zhang Xiang-Yang , Gao Wei-Min , Zhang Hong-Ping , Xu Yin-Qiang 
Published: February 2022

Abstract
Aiming at the problem of the detecting difficulty and imaging the moving target submerged in clutter, a multi-channel Synthetic Aperture Radar (SAR) moving target detection and imaging method based on complex Convolutional Neural Network (CNN) is proposed. First, using Range Doppler algorithm (RDA) to image SAR data to obtain images with clutter, noise and defocused moving targets. Then, the SAR image is used as the input of complex CNN. A SAR image with the clutter and noise eliminated, and the moving target in focus is obtained after processing by neural network. The simulation experiment results show this method is effectiveness.
Data enhancement method for object detection
Authors: Yin Zhijian , Xu Lei , Yu Hanqing , Yang Zhen 
Published: February 2022

Abstract
A data enhancement method for object detection is proposed to address the problem that there are few data enhancement means for target detection. This method has obvious advantages for small targets and scenarios where the target background is lacking. It is also a method to solve the problem of small and unbalanced samples. In this paper, the object is subtracted from the bounding box, and after processing, it is fused into a new image using various image classification improvement means such as random brightness, random contrast, random rotation, random cropping, etc. Using mixup-like fusion methods, and XIOU is proposed to guarantee the t intersection ratio of the target synthesis during synthesis. An improvement of 2% is obtained on yolov3 over the VOC dataset.
Research on face tracking Algorithm Based on Detection and Supervision Tracking
Authors: Yuan Gang , Lv Fengkun , Xu Zhihao , Luo Lv , Rong Yi , Zhang Yanan , Tian Zheng 
Published: February 2022

Abstract
Accurate face detection and tracking is widely used in many social life scenes. However, the uncontrollable background noise and random illumination change in the application scene will reduce the detection accuracy of the tracked target, and the rotation, occlusion and overlap of the tracked target will also affect the accuracy and success rate of the tracking algorithm. In order to solve the above problems, this paper proposes a method that uses deep learning detection method to supervise the correlation filter tracking algorithm to improve the success rate of de-tection and tracking. First of all, in the first frame of the picture, we use the deep learning SSD (Single Shot MultiBox Detector) algorithm to detect the face, and take the detected face as the tracking target, and use the correlation filtering algorithm DSST (Discriminative Scale Space Tracker) Tracking in the process of tracking, face detection is continuously carried out on the tracking target, and the detection results are used to monitor the tracking results, so as to reduce the target drift caused by the boundary effect, thus improving the accuracy of the tracking algorithm. The algorithm is tested and verified on OTB100 data set. The final experimental results show that the accuracy of this algorithm is obviously better than the mainstream classical algorithm, and the frame rate meets the real-time re-quirements.
Development and evaluation of a lead oxide flexible skin dosimeter with a silicon passive layer
Authors: Yang S.W. , Han M.J. , Park S.K. , Choi M.Y. , Moon Y.M. , Bae S.I. , Park S.H. , Kang Y.R. , Rah J.E. , Chung J.B. , Kim J.Y. 
Published: February 2022

Abstract
Normal tissues are also exposed during radiation therapy. In
particular, the skin is highly sensitive to radiation. Therefore,
care should be taken regarding excessive exposure, and the dose
irradiated to the skin should be measured accurately. In this study,
a skin dosimeter that can be attached to the human body was
manufactured using a silicone binder, and a new type of passive
layer using silicon was applied. In addition, the manufactured
dosimeter was evaluated to establish whether it could be used with a
skin dosimeter. The observation of the surface of the dosimeter
through SEM analysis showed that cracks did not occur on the surface
of the silicon passive layer PbO dosimeter when it was bending. The
bending silicon passive layer PbO dosimeter's relative standard
deviation was 1.45%, meeting the evaluation criteria of 1.5%. The
linearity evaluation showed that the R
2 of the bending silicon
passive layer PbO dosimeter was 0.9996, satisfying the evaluation
criterion R
2 of 0.9990. The PDD measurements showed that the
D_max points matched. As the silicon passive layer PbO
dosimeters showed no cracks when bending, high signal stability, and
accuracy in reproducibility, linearity, and PDD measurement results,
it could be suitable for application as skin dosimeters.
Efficiency of Zantedeschia Aethiopica and Nasturtium Officinale in the Removal of COD and BOD5 in Domestic Wastewater from The Santiago Antúnez De Mayolo El Tambo Urbanization - 2021
Authors: Blancas M , Cerrón A , Camargo-Hinostroza S 
Published: February 2022

Abstract
Domestic wastewater is dumped directly into the water resource affecting it, for which it is important to implement environmental control and prevention. In this research, the aim is to determine the efficiency of Zantedeschia aethiopica (Water Lily) and Nasturtium officinale (Water cress) in the removal of COD and BOD5 in the domestic wastewater of the Santiago Antúnez of Mayolo El Tambo Urbanization - 2021. To achieve the objective was to collect 36 L of domestic wastewater from the Santiago Antúnez de Mayolo El Tambo Urbanization, which were placed in three glass ponds of 35 cm × 25 cm × 25 cm, which each contained 12 liters of water; the first pond was considered as zero treatment (T0) or control treatment, In the second pond, the Zantedeschia aethiopica (Water Lily) species was placed and it was considered as treatment one (T1) and in the third pond the Nasturtium officinale (Water Cress) species was placed and it was considered as treatment two (T2). After 31 days in the zero treatment (T0) it was obtained that the domestic wastewater from the Santiago Antúnez Urbanization of Mayolo El Tambo has a concentration of 41 mg/L of BOD5 and 72.4 mg/L of COD; In treatment one (T1) with the Zantedeschia aethiopica species (Water lily) the final concentrations of 32.1 mg/L and 68.7 mg/L of BOD5 and COD were obtained respectively; In treatment two (T2) with the species Nasturtium officinale (Water cress) the final concentrations of 39.79 mg/L and 56.5 mg/L of BOD5 and COD were obtained respectively. It can be concluded that both species were efficient in removing BOD5 and COD; the Zantedeschia aethiopica species (Water lily) obtained a removal percentage of 21.71% and 5.11% for BOD5 and COD respectively; the species Nasturtium officinale (Water cress) obtained a removal percentage of 2.95% for BOD5 and 21.96% for COD.
Potato Farming Biologization as a Food Security Basis
Authors: Nikolaeva F V , Lukina F A 
Published: February 2022

Abstract
The paper discusses the experimental results of growing potatoes based on scientifically grounded crop rotations and biologized technologies. The main biological agriculture problem is to maintain the ecological balance in the biosphere based on the search for natural reserves to increase crop productivity while improving soil fertility and quality of crop products and reducing costs for energy and resources required for their production. The studies have revealed that green manure affects not only the yield of potatoes but also the population of soil microorganisms, which leads to increased reproduction of bacteria and actinomycetes. The highest yield was recorded in the crop rotation with sweet clover – 16.8 t/ha; when plowing the pea-oat mix, it reached up to 15.4 t/ha, and when plowing oats - up to 16.3 t/ha, which increased yield by 0.5-2.9 %. From among the most effective environmentally sound technologies, organic fertilizers, growth stimulants, and various fungicides are also applied. When using various organic fertilizer doses in combination with mineral fertilizers, the yield of potatoes and the content of phosphorus and potassium increase. Complex treatments of plants with ‘Ridomil Gold’ and ‘Cuproxat’ fungicides during the growing season reduce the incidence of fungal and bacterial diseases in both plants (by 3.7-3.9 %) and tubers (by 2.7-3.5 %) during the storage period.
Forming an Information System for Assessing Mineral Resource Availability for Enterprises
Authors: Dadykin B C , Sidorenko A S 
Published: February 2022

Abstract
Forming an information system for assessing mineral resource availability for enterprises is currently of particular relevance due to the necessity to provide a number of industrial enterprises with proven mineral reserves for the prospect of the licensed period of the field exploitation. An exploration enterprise in the course of its operation is subject to influencing various factors, which can be conditionally divided into the controlled and the uncontrolled ones. The first group includes such factors as economic and technical-technological factors. The second group includes natural, socio-demographic and ecological ones. The author carries out the controlled factor simulation as a part of the management system model of a geological exploration enterprise to determine the principles of managing the system and factors affecting the state of the controlled object represented by this enterprise. In this paper, the authors design the management system of a geological exploration enterprise and evaluate the influence of the environmental factors on the system. When determining the prospects, the criteria of infrastructural (availability of road communication) and resource (human, technical, technological, financial resources) availability during the field exploration were also considered. As a result, an information system for assessing mineral resource availability for enterprises was formed as a set of indicators for assessing the availability. This work was supported by the grant given by the President of the Russian Federation No. MD-2409.2020.5.
Improving the Safety of the Rectification Unit for the Production of Alkylphenols
Authors: Kh Kurbangaleeva M 
Published: February 2022

Abstract
As a result of the study, the analysis of occurrence of fire hazardous situation during the operation of rectification column of production facility of one of the city’s enterprises was carried out. This installation refers to facilities for which additional safety requirements are imposed. The main danger of the operation of rectification columns and their piping used at the installation is thefear of depressurization and theinitiation of gas contamination and fire situation on the site. As theresult of the fire, the rectification column and supporting metal structures can be in flame or be under the influence of thermal radiation from the flame in adjacent column, which can lead to the collapse of structures or to losses of bearing capacity under the influence of high temperatures. Depending on the height of the column, the water supply system can have different ways of distributing water: at small height of the column, manual water nozzles are used with the use of fire hydrants; at considerable height of the columns, stationary water irrigation systems (irrigation rings) are used.
Modeling Food Security Processes with Uneven Transportation of Goods and Economic Aspects
Authors: Kovalev K E , Galkina J E 
Published: February 2022

Abstract
The article discusses the methodology of modelling the work of the warehouse complex, which allows you to optimize its operation. The experience of creating various simulation models in the simulation environment is analysed in order to optimize the operation of transport and logistics complexes, the results of which were increased productivity and reduced costs. Planning a warehouse complex is a key stage in this process. Mistakes made during planning can cause the inability to use a warehouse with a high level of efficiency and significant financial losses for an organization. The following stages, such as optimization and organization of the warehouse operation, also play an important role.
Meat Productivity of Cattle When Using in Their Diets Local Non-Traditional Feed Additives in a Sharply-Continental Climate of Yakutia
Authors: Grigorev M F , Grigoreva A I 
Published: February 2022

Abstract
The article presents the research results of non-traditional feed additives’ impact on cattle meat productivity in the sharply continental climate of Yakutia. There were formed three experimental groups of young cattle given the age and the live weight. Meat productivity was estimated by killing products, organoleptic and physicochemical parameters of beef. It was found that the inclusion of local mineral feed additives in animal’s diet contributed to the increasing of carcass mass on 3,4 – 7,9 %, lean tissue on 8,5 – 15,7 kg, and fat tissue on 1,3 – 1,5 kg. The assessment of meat products showed that the experienced groups’ samples had high points. Thus, the researches have shown the effectiveness of local non-traditional feed additives in the sharply continental climate of Yakutia.
IT Tools for Managing Ecological Hazards
Authors: Prokofeva E N , Vostrikov A V , Nekrasov H A , Bragin N E , Malcev M O 
Published: February 2022

Abstract
The development of modern IT tools is a key vector of development in the management of natural hazards and geosciences. Thanks to the creation and implementation of geographic information systems (GIS) and technologies, monitoring of the area is greatly facilitated and the accounting of natural resources becomes streamlined. Geoinformation systems allow to take into account the social and environmental situation, accurately determining the qualitative and quantitative characteristics, structure, and location of objects. This allows the authorities at different levels to develop social infrastructure most effectively and correctly locate objects of it. In addition, geographic information systems are very effective for determining the location of an object. The requested information is provided in the form of detailed maps with additional details in texts, graphs, and diagrams. GIS tools are not a single program, but a package of programs, they have different interfaces and capabilities of working with data. Usually, the one that is best suited for the task is selected from this software package. An example of the choice of effective tools and related research in work with BigGeoData are presented in the article about aero monitoring use case.
Veterinary and Sanitary Examination of Commercially Important Broad Whitefish in Ust-Yansky Municipality, Yakutia
Authors: Sidorov M N , Tomashevskaya E P 
Published: February 2022

Abstract
This paper presents the results of veterinary and sanitary examination of fish caught in Ust-Yansky Municipality, Republic of Sakha (Yakutia). Subject to examination was broad whitefish. The goal was to see if the catch was in line with the safety regulations per GOST. To that end, fish freshness was tested organoleptically, physically, chemically, and microbiologically. Veterinary and sanitary examination concluded that all the broad whitefish caught in the Ust-Yansky Municipality was “dubiously fresh” in terms of organoleptic indicators applicable to the mucus, scales, mouth, eyes, gills, fins, anus, muscles, abdominal cavity, and internal organs. Physical and chemical tests (pH, peroxidase reaction, copper sulfate reaction, ammoniacal nitrogen content, and hydrogen sulfide content) returned indicators that matched the category of ‘fresh fish’. Microbiological tests showed that TVC, CFU/g was within the acceptable limit of 1*105, coliforms, S. Aureus, Salmonella, and Listeria monocytogenes were not isolated. Parasitological testing did not detect helminths or their larvae in the muscles. Reason being, fish carry many species of helminths that threaten humans. Toxicological testing revealed Pb content of 1.1±0.2 mg/kg, which did not correspond to the maximum acceptable concentration. HCH and DDT levels were within acceptable limits as well. Radionuclide testing reveled cesium137 and strontium90 contents within the acceptable concentrations per TR TS 021/2011 Food Safety. Broad whitefish was subjected to all veterinary and sanitary tests, one of which indicated dubious quality.