bluuebunny/crossref_metadata_2025 huggingface dataset:
Stimulated X-rays in resonant atom Majorana mixing
Authors: Segarra A , Bernabéu J
Published: January 2020

Massive neutrinos demand to ask whether they are Dirac or Majorana particles. Majorana neutrinos are an irrefutable proof of physics beyond the Standard Model. Neutrinoless double electron capture is not a process but a virtual ΔL = 2 mixing between a parent A
Z atom and a daughter
A
(Z — 2) excited atom with two electron holes. As a mixing between two neutral atoms and the observable signal in terms of emitted two-hole X-rays, the strategy, experimental signature and background are different from neutrinoless double beta decay. The mixing is resonantly enhanced for almost degeneracy and, under these conditions, there is no irreducible background from the standard two-neutrino channel. We reconstruct the natural time history of a nominally stable parent atom since its production either by nature or in the laboratory. After the time periods of atom oscillations and the decay of the short-lived daughter atom, at observable times the relevant “stationary” states are the mixed metastable long-lived state and the short-lived excited state, as well as the ground state of the daughter atom. Their natural population inversion is most appropriate for exploiting the bosonic nature of the observed X-rays by means of stimulating X-ray beams. Among different observables of the atom Majorana mixing, we include the enhanced rate of stimulated X-ray emission from the long-lived metastable state by a high-intensity X-ray beam. A gain factor of 100 can be envisaged in a facility like European XFEL.
Storytelling and Science Communication: how to turn (A, Z) → (A, Z + 2) + 2e− + 2v̄e into a story
Authors: Cheu Hoi F.
Published: January 2020

This outreach workshop explains why narrative structure matters in communicating science to the public. It demonstrates the technique by converting a piece of textbook style introduction to an experiment of underground physics (SNO+’s Double Beta Decay study with 130Te) into a story for the general public.
Muon Hunter: a Zooniverse project
Authors: Bird R. , Daniel M. K. , Dickinson H. , Feng Q. , Fortson L. , Furniss A. , Jarvis J. , Mukherjee R. , Ong R. , Sadeh I. , Williams D.
Published: January 2020

The large datasets and often low signal-to-noise inherent to the raw data of modern astroparticle experiments calls out for increasingly sophisticated event classification techniques. Machine learning algorithms, such as neural networks, have the potential to outperform traditional analysis methods, but come with the major challenge of identifying reliably classified training samples from real data. Citizen science represents an effective approach to sort through the large datasets efficiently and meet this challenge. Muon Hunter is a project hosted on the Zooniverse platform, wherein volunteers sort through pictures of data from the VERITAS cameras to identify muon ring images. Each image is classified multiple times to produce a clean dataset used to train and validate a convolutional neural network model both able to reject background events and identify suitable calibration data to monitor the telescope performance as a function of time.
Neutrino quantum decoherence due to entanglement with magnetic field
Authors: Stankevich Konstantin , Studenikin Alexander
Published: January 2020

Neutrino oscillations in a constant magnetic field are considered. The backward influence of neutrinos on the environment is accounted for using the density matrix formalism. The entanglement of neutrinos with the magnetic field can destroy quantum coherent superposition of different neutrino states and thus lead to the suppression of neutrino oscillations. The master equation for the neutrino density matrix accounting for the effects of quantum decoherence due to entanglement with the magnetic field is derived.
Neutrino oscillations in gravitational waves
Authors: Dvornikov Maxim
Published: January 2020

We study spin and flavor oscillations of neutrinos under the influence of gravitational waves (GWs). We rederive the quasiclassical equation for the evolution of the neutrino spin in various external fields in curved spacetime starting from the Dirac equation for a massive neutrino. Then, we consider neutrino spin oscillations in nonmoving and unpolarized matter, a transverse magnetic field, and a plane GW. We show that a parametric resonance can take place in this system. We also study neutrino flavor oscillations in GWs. The equation for the density matrix of flavor neutrinos is solved when we discuss the neutrino interaction with stochastic GWs emitted by coalescing supermassive black holes. We find the fluxes of cosmic neutrinos, undergoing flavor oscillations in such a gravitational background, which can be potentially measured by a terrestrial detector. Some astrophysical applications of our results are considered.
Gauge-invariant TMD factorization for Drell-Yan Helicity Structure Functions
Authors: Nefedov M.A. , Saleev V. A.
Published: January 2020

In framework of the Parton Reggeization Approach, we obtain gauge invariant hadronic tensor Wμν
for Drell-Yan process in Transverse Momentum Dependent factorization. We show that use of Fadin-Sherman effective vertex, which describes annihilation of Reggeized quark-antiquark into virtual photon, leads to new relations between Helicity Structure Functions

F

U
U

(

1
,
2
cos
ϕ
,
c
o
s
2
ϕ

)

and Parton Distribution Functions

(

f
1
q

(

x
,

q

T

)

,

h
1

⊥
q

(

x
,

q

T

)

)

in unpolarized proton-proton collisions. We estimate numerically relative contributions of parton number density function

f
1
q

(

x
,

q

T

)

and Boer-Mulders function

h
1

⊥
q

(

x
,

q

T

)

in the Helicity Structure Functions

F

U
U

(
1
)

and

F

U
U

(

cos
2
ϕ

)

at the kinematical conditions of the future collider NICA.
Fundamental operators in Dirac quantum mechanics
Authors: Silenko Alexander J. , Zhang Pengming , Zou Liping
Published: January 2020

Old achievements and more recent results in a solution of problem of the position and spin in relativistic quantum mechanics are considered. It is definitively shown that quantum-mechanical counterparts of the classical position and spin variables are the position and spin operators in the Foldy-Wouthuysen representation (but not in the Dirac one). The probabilistic interpretation is valid only for Foldy-Wouthuysen wave functions.
Deuteron analyzing powers in dp- elastic scattering at large transverse momenta
Authors: Ladygin V P , Averyanov A V , Chernykh E V , Enache D , Gurchin Yu V , Isupov A Yu , Janek M , Karachuk J-T , Khrenov A N , Krivenkov D O , Kurilkin P K , Ladygina N B , Livanov A N , Piyadin S M , Reznikov S G , Skhomenko Ya T , Terekhin A A , Tishevsky A V , Uesaka T , Volkov I S
Published: January 2020

The results on the vector Ay
and tensor Ayy
and Axx
analyzing powers in deuteronproton elastic scattering at large transverse momenta are presented. These data were obtained at internal target at JINR Nuclotron in the energy range 400-1800 MeV using polarized deuteron beam from new polarized ion source. New data on the deuteron analyzing powers in in the wide energy range demonstrate the sensitivity to the short-range spin structure of the isoscalar nucleon-nucleon correlations.
Constituent quark mass and spin in NRCQM model
Authors: Sukhoruchkin Sergey
Published: January 2020

We show that the success of the Nonrelativistic Constituent Quark Model can be associated with symmetrization, which manifests itself in the exact 3:1 ratio between the initial constituent quark mass Mq
= m
Ξ/3=441MeV and the parameter of quark interaction ΔM
Δ = (m
Δ − mN
)/2=147MeV. The interconnection of these parameters with the electron mass, its symmetry, the masses of the fundamental fields and the QED radiative correction is considered. The discreteness with the parameter me
can be used in the study of gravitation and dark matter problems.
Stability and deformation behavior of three-dimensional diamond-like carbon phases under compression
Authors: Rysaeva L. Kh.
Published: January 2020

Diamond-like phases which are three-dimensional carbon nanostructures consist of sp
3-hybridized atoms is of high interest in terms of their mechanical properties. The important issues are the stability of such novel structures and their deformation behavior under various conditions. In the present work, the molecular dynamics method is used to study diamond-like phases of two classes: fulleranes and tubulanes. Twelve stable structures are found Studying the deformation behavior shows that some phases have a very small elastic regime which not allow calculating elastic constants. Under hydrostatic compression, the main deformation mechanisms are changing the lattice parameters and valent angles. At high pressure, transformation to the amorphous phase takes place for several diamond-like phases.
Architecture of A Mobile Energy Internet
Authors: Liu Xianming , Liao Zhijun , Chen Jiangxin , Shen Hongjie
Published: January 2020

With the development of mobile energy storage technology, it is possible to build a mobile energy internet for the business purpose of energy internet. Now the research work of mobile energy internet is non holistic, so this paper propose a Architecture of Mobile Energy Internet (AMEI). Firstly, summarize the related work about electric power information, software defined grid and energy internet; then propose a architecture of mobile energy internet, aims to application of energy storage local area net and mobile energy storage; furthermore, discuss the key technology of AMEI, meanwhile give the analysis of ability and application value; finally give a example of prototype system to prove the feasibility of AMEI.
A Malicious Node Identification Method Based on Edge Computing
Authors: Xu Aidong , Cao Minggui , Liao Runfa , Zhang Yunan , Jiang Yixin , Chen Yi , Wen Hong , Du Jinran
Published: January 2020

Edge computing can meet the needs of many industries in real-time business control, security and privacy protection. In the process of massive heterogeneous terminals accessing the network through edge devices, it is very challenging to achieve fast and reliable authentication. The physical layer authentication technology authenticates through the channel characteristics, which has the characteristics of lightweight, and can well adapt to the authentication scenario of massive heterogeneous terminal access. In order to identify malicious nodes, this paper proposes an attack identification scheme of malicious nodes under edge computing. The new channel response information vector is constructed by using the correlation between the channel information of consecutive frames. Two or more time slot channel frequency response vectors are averaged to obtain a new channel response vector. It has the advantages of low computational complexity and high recognition accuracy. And combined with the channel frequency response based on the deep neural network to identify malicious nodes, the data set in the factory environment is simulated.
Research on Manipulator Stability Control
Authors: Chen Donghai , Tian Quan , Bai Dongxu
Published: January 2020

In order to have good accuracy, robustness and stability, it is necessary to control the manipulator accurately. But at present, for the precise control of manipulator, for the control mode and control system of manipulator, the research is not in-depth and perfect. This paper mainly summarizes the manipulator control system and control mode, and analyzes and summarizes the dynamics modeling, control accuracy, PLC control of the manipulator. At the same time, the control direction of the manipulator is prospected, such as cluster control, planning coordination control, autonomous motion control, etc.
Vehicle Network Security Situation Assessment Method Based on Attack Tree
Authors: Li Ruxiang , Li Fei , Zhang Jiayan
Published: January 2020

In order to solve the problem that the current vehicle network security situation assessment methods are seriously few, and the existing methods have low accuracy and are greatly affected by subjective factors, an attack tree-based vehicle network security situation assessment method is proposed. Firstly, the attack tree models are established to describe the network attacks the internet of vehicles may suffer from. Secondly, the security attributes of the attack path are determined, and each attack path is scored. At the same time, the fuzzy analytic hierarchy process is used to solve the weight values of each attack path. After that, weights and ratings are used to assess the security situation level of the threat. Finally, a comparative analysis of the security situation assessment with the analytic hierarchy process shows that the fuzzy analytic hierarchy process method can reduce the influence of human subjective factors and improve the credibility of the security situation assessment.
Energy-saving Performance Evaluation of Urban Rail Transit: A Time Schedule Perspective
Authors: Liu Jiang , Wang Qihan , Zhang Jiao , Xie Hao
Published: January 2020

Improvement of the cost efficiency of urban rail transit system has been a research focus in the past decade. The energy-saving capability generally consists of two levels. The macro level determines the train operation mode and the time schedule according to the traffic demand. The micro level calculates and tracks the energy efficient target speed profiles of the trains. Different from conventional evaluation works about the energy-saving performance, in this paper the evaluation in the macro level is concerned using a time schedule perspective, and the utilization of the advanced energy efficient traction control solution in the micro level is integrated to predict the achievable energy conservation capability. The relationship between the derived performance level and the schedule-related factors are investigated, including the average speed and spatial-temporal distribution of the passenger flow. Field data from Beijing Metro is adopted to validate the presented solution in evaluating energy-saving performance of the practical time schedule. Results show its potential in improving the environmental friendly characteristics of the urban rail transit system in the field operation.
Comparison of Indoor Wireless Signal Propagation Between Ground Plane Booster and Omni-Directional Patch Antenna
Authors: Horne C K , Rhym B M , Martin E
Published: January 2020

“Antenna-less” ground plane boosters maximize the contribution of wireless device ground planes to their radiating systems [1]. They have the potential to simplify wireless/mobile application design as replacements to customized, dedicated radiating antennas. Their multi-band capability and standardized low packaging profile lend to seamless printed circuit board (PCB) integration. The miniaturized, surface mount (SMD), commercial off-the-shelf (COTS) components may be a solution for the challenges of increasing frequency bands, reducing antenna space, improving wireless system performance, multiple and evolving wireless communication standards, and design and manufacturing efficiency. As wireless Internet of Things (IOT) applications and 5G mobile technology demand and enable ubiquitous, higher speed, and more reliable mobile communications, antenna system design becomes an even more challenging and critical engineering task. This study presents a comparison of RF signal strength received by a conventional, omni-directional patch antenna and an “antennaless” ground plane booster inside of a dense, suburban building.
Design of a Broadband Electromagnetic Signal Monitoring and Evaluation System
Authors: Zhao Jianhua , Yu Pengpeng , Zhao Lili , Zhou Xinsheng , Dong Qicai , Wang Ziru , Meng Xianglei
Published: January 2020

Communication signal reconnaissance and evaluation is the basis for the implementation of communication anti-interference. The design of broadband electromagnetic signal monitoring and evaluation system realizes the function of communication signal reconnaissance and evaluation through the monitoring, collection, analysis and storage of complex electromagnetic signals, providing a basis for the effective implementation of communication anti-interference.The wideband electromagnetic signal monitoring and evaluation system can monitor, collect, analyze and store complex electromagnetic signals, and has the function of communication signal reconnaissance and evaluation.
Research on Spatial Database Building Method Based on ArcGIS for AutoCAD
Authors: Zheng Hui , Liu Yanmin , Ma Xiaokang , Ke Junfei
Published: January 2020

Dwg file was widely used as the output file format of the surveying and mapping project produces at present. With the project amount of surveying and mapping increasing, it is necessary to establish a spatial database to scientific and unified manage various surveying and mapping thematic data results. When creating the spatial data based on the dwg file, the graphic information in dwg is extracted, and the attribute information corresponding to the graphic needs to be supplemented at the same time. This paper proposes a method of building spatial data based on ArcGIS for AutoCAD plug-in. This method can realize the unified management of graphics and attributes in CAD environment. Spatial and attribute information contained in the dwg file can be extracted quickly and accurately base on secondary development with ArcEngine, and the application value of the dwg file in the field of surveying and mapping was improved greatly.
A Point Cloud Optimization Method of Low Altitude Remote Sensing Image Based on Multi-channels
Authors: Huang Lei , Yang Nan , Zhang Yu
Published: January 2020

This paper presents a novel point cloud optimization method of low altitude remote sensing image based on multi-channels. The proposed method is designed to be especially effective for enhancing the accuracy of stereo matching. In order to fully exploit the information of multi-channel images, a weighted multi-channel intensity is employed instead of gray intensity. Then, an error equation is built to compute the optimal point according to the LSM method, space geometry relationship and collinear equation constraint. Compared with the traditional LSM method, the proposed method can achieve higher accuracy 3D point cloud data, since it can enrich the information conveys in the error equation and make the image matching robust. Comparison studies and experimental results prove the high accuracy of the proposed algorithm in low-altitude remote sensing image point cloud optimization.
Analysis of Spatial Indexing Mechanism and Its Application in Data Management: A Case Study on Spatialite Database
Authors: Liu Chengkun , Ma Rui , Zhang Li
Published: January 2020

Lightweight spatial database Spatialite is playing an increasing role in the current geographic information applications and other fields. This paper discusses the data organization and spatial indexing mechanism of Spatialite database in detail, studies the use of Spatialite database for data organization and index establishment, and utilizes the retrieval and spatial analysis methods supported by spatial index. The experiment takes urban pipeline data management as an example, through the visual application of urban pipeline data management in the 3DGIS environment, it provides a good solution for data management application of lightweight spatial database.
Detecting Abnormal Interactions among Intranet Groups Based on Netflow Data
Authors: Yu Tao , Yue Ruiqi
Published: January 2020

This paper proposes a method for detecting abnormal interactions among intranet groups based on netflow data. Firstly, the netflows of each group are aggregated, and two anomaly detection indicators are constructed, i.e., the group network traffic and the uncertainty of group network traffic distribution. Secondly, the time series of two anomaly detection indicators of each group are analyzed, and four prediction models are used for prediction. Finally, the best-performing model is selected as the prediction benchmark, and the difference between the predicted result and the real data is used to detect whether there is an interaction anomaly among groups. The experimental results show that the proposed method can effectively detect the abnormal interaction among groups in intranet.
Design of a Multi-Style Vector Modulation Interference System
Authors: Zhao Jianhua , Zhao Lili , Yu Pengpeng , Zhou Xinsheng , Dong Qicai , Wang Ziru , Su Lina
Published: January 2020

In order to solve the impact of the interference system on different connected devices and generate a variety of interference patterns, this paper proposes a multi-style vector modulation interference system design. The interference signal generated by the multi-style vector modulation interference device is amplified by power and sent The sub-band antenna, the antenna selects the interference direction under the control of the servo turntable and the control system, implements effective interference to the receiving equipment, reduces economic costs, and meets actual needs. The multi-style vector modulation interference system is composed of interference antenna, power amplifier, servo turntable and control system, communication interference equipment and related accessories. When the system detects the signal, the operating frequency, modulation mode, spectrum width, and other related signal parameters of the interference station are determined through analysis. Then the controller uses the modulator to select the best interference mode and select the frequency to the corresponding position. The high-frequency oscillating signal is used to modulate the interference transmitter, and the interference signal is amplified to the required power by the power amplifier. Finally, the energy is transmitted through the transmitting antenna. The servo turntable is rotated to drive the interference antenna to target the interference object to implement precise interference.
Extrapolated New Hermitian and Skew-Hermitian Splitting Method for Non-Hermitian Positive Definite Linear System
Authors: Xue Qiufang , Sun Xiaoqing , Xiao Yanting
Published: January 2020

Extrapolated new Hermitian and skew-Hermitian splitting method is presented for solving non-Hermitian and normal positive definite linear systems. We theoretically prove that this method is convergent in three different ranges of the parameters α and ω. Specially, the convergence results of the NHSS method are also obtained, which generalize the conclusions in [2]. The numerical example further verifies the results.
Evaluation on Spatial of National Land Development Pattern of Lanzhou-Xining Urban Agglomeration Based on Resource and Environment Carrying Capacity
Authors: Nie Xiaoying , Li Kaiming
Published: January 2020

The analysis of spatial of national land development pattern is of great significance for optimizing the layout of spatial of national land development and realizing regional sustainable development. The comprehensive evaluation on spatial of national land pattern of Lanzhou-Xining urban agglomeration can deepen the scientific cognition of rational spatial of national land development of regional urban agglomeration and provides a theoretical basis for space governance. Based on the actual situation of Lanzhou-Xining urban agglomeration, this paper analyzed the carrying capacity of resource and environment in counties and districts, clarified the spatial difference of carrying capacity of resources and environment, and proposed the characteristics of land development pattern of Lanzhou-Xining urban agglomeration. As shown by the results, the spatial pattern of the natural carrying capacity index is distinctly different, showing a decreasing trend from the study area center to the periphery and also from the east to the west; High carrying capacity potential areas are mainly concentrated in Lanzhou, Xining and their surrounding counties; the spatial difference in the comprehensive index of resource and environment carrying capacity is large, and the contribution of natural carrying capacity to the resource and environment carrying capacity is higher, the spatial distribution of high value area is more discrete, and the spatial distribution of low value area has obvious agglomeration characteristics.
Application Research of CG Painting in Digital Age
Authors: Wang Mo , Xing Song
Published: January 2020

CG painting is the collision and blending of contemporary technology and art. What attracts majority of art lovers and experts to dive deep are their unique artistic charm and new forms of expression. With the sustaining improvement of the hardware and the development of the new computer software, CG painting makes the development of contemporary art and future art more possible. This article mainly studies the CG painting’s artistic features; technology and application in the digital age, and put forward some suggestions to the development and establishment of present CG painting in our country.
Unloading Mechanism and Design Analysis of Surrounding Rock in Deep High Stress Roadway
Authors: Wang Xinfeng , Luo Wenbo , Qiu Linling , Gao Yuhao , Lu Mingyuan , Li Shan , Chen Ziyang
Published: January 2020

The strong pressure on the roof, excessive concentration of stress, soft and broken surrounding rock, and difficulties in roadway support have always been important factors affecting the safety and stability of deep high stress soft rock roadway. Based on the special space unloading function of the pressure relief groove in the deep soft rock roadway, starting from the unloading pressure theory of deep surrounding rock, this paper has analyzed the effect of the pressure relief groove in relieving the pressure of the deep mine and controlling the deformation of surrounding rock. Three dimensional numerical simulation software FLAC3D was used to compare and analyze the surrounding rock failure and stress distribution characteristics before and after the excavation of the pressure relief groove in the deep high-stress soft rock roadway, and the optimum setting position of the pressure relief groove was also optimized. The results show that the deformation of surrounding rock can be effectively controlled after excavating and unloading pressure trough in deep high-stress soft rock roadway, and the displacement of top and bottom plate and roadway side can be reduced by nearly 30mm; the stress concentration is significantly reduced, the stress peak is transferred to the deep part of surrounding rock, and the pressure relief effect is obvious, which effectively maintains the safety and stability of the roadway, and indicates the direction for the pressure relief adjustment and stress control of the high-stress soft rock roadway at the deep part.
Early Warning Information Release Algorithm of Internet of Vehicles Based on AHP and Fuzzy Evaluation Model
Authors: Xu Jing , Wang Juan , Luo Xue , Shen Mengting
Published: January 2020

The security problems caused by the intelligent vehicle network emerge in endlessly. However, the research on the information release of the existing vehicle network focuses on the release mode of the early warning information, without considering the importance division of the early warning information. Aiming at these problems, message queuing telemetry transport (mqtt) is introduced to transmit the network data of the Internet of vehicles, analytic hierarchy process (AHP) is introduced to divide the factors influencing the early warning information into levels, fuzzy evaluation model is introduced to evaluate the importance of the early warning information, and the design is adapted to the characteristics of the Internet of vehicles. Alert information publishing scheme. The experimental results show that the average arrival time of high-level emergency warning information divided by AHP and fuzzy evaluation model increases by nearly 50% with the number of warning information, and the proportion of high-level emergency warning information response within the threshold time is three times higher, which shows that the scheme plays an important role in the distribution of the Internet of vehicles warning information.
Research on Digital Simulation of Blind Equalization in Multipath Ground-to-Air Communication Channel
Authors: Wu Xilei
Published: January 2020

In ground-to-air communication, the inter-symbol interference caused by multipath effect is often the important cause of poor communication quality. Channel equalization technology can effectively solve the problem of inter-symbol interference in ground-to-air communication. Firstly, we theoretically analysed the multipath transmission channel of ground-to-air communication and did the simulation modeling work. Then, we selectively analysed the model structure, the principle of the process and the adopted key equalization algorithm. Based on the technology system and working parameters commonly used in ground-to-air communication, we simulated equalizing reception processing performance of the communication model in multipath channel and gave some simulation data. Experimental results showed that DD-LMS adaptive equalization technology can significantly improve the reception performance of the communication system in the ground-to-air communication system which is affected by multipath interference and it provides valuable reference for the evaluation of the multipath transmission performance of the ground-to-air communication system.
Energy Minimization Transmission for Cache-Enabled Wireless Relay Networks
Authors: Ge Bin , Li Ziheng , Meng Chao
Published: January 2020

Caching techniques have attracted extensive attention, which can significantly reduce peak traffic load and access latency, and improve energy efficiency and quality of service. In this paper, we strive to proactively caching the content requested by the user in periods with low traffic to minimize the total energy consumption and a low complexity algorithm is proposed. Furthermore, we also propose an optimal offline transmission strategy. Considering the cache size is large enough, we can obtain the optimal cache size, which can achieve our optimization goal. Numerical and simulation results show that the optimal data transmission algorithm can significantly reduce the global energy consumption of the network compared with the traditional not caching algorithm. As cache size increases, the superiority of the proposed algorithm becomes more obvious.
A Review on Fault Diagnosis in Wireless Sensor Networks
Authors: Xiao Jinchao , Zhu Yujie , Zhong Yingchun , Lin Zifan
Published: January 2020

With the wide utilization of wireless sensor networks(WSN), higher reliability and stability are being pursued gradually. In most cases, the communication capability for sensor network is influenced by the complex environmental conditions, the open characteristics of channels, the energy limitations of nodes, as well as network protocol design issues, ultimately leading to the high possibility of network failure. As a result, a timely and accurate fault diagnosis is of much significance for a network to ensure the stable operation and execution efficiency. This article firstly demonstrates the diagnostic process on the following three aspects, including the collection for network fault information, fault detection, and diagnosis process. In addition, the features of commonly used technologies are also analyzed and compared in order to identify their application scope respectively. Finally, this paper makes the summary for the possible development trends and future research directions of fault diagnosis.
Based on Machine Vision Fruit Target Detection Method
Authors: Yin Guanghui , Xie Yuanmin , Yun Juntong , Chen Hang , Yang Chuanjie
Published: January 2020

Fruit detection and location is the key technology of fruit picking automation. In this paper, aiming at the problem of fruit detection and location, fruits growing in natural environment were studied based on the Faster R-CNN target detection model. Experimental verification shows that the detection and recognition of fruit based on Faster R-CNN model can achieve higher detection accuracy and speed.
Fineness Standard and Implementation Method of 3D Model of Electrical Equipment in Substation (Converter Station)
Authors: Guan Lan , Wang Wei , Hu Junhui , Li Zan , Wang Hui , Yang Xiaoguang
Published: January 2020

In order to solve the problem of inconsistent modeling depth and uneven model granularity in the 3D modeling process of power grid engineering, this paper analyzes the fineness requirements of 3D models at all stages of engineering. Referring to the LOD rule of the US National BIM Standard, three-dimensional model fineness guidance for electrical equipment in substations (commutation stations) is developed and the model fineness is divided into two fineness levels, including the general model and the product model. The feasibility of the guidance is verified by actual engineering.
SWAT Model Simulation of Non-Point Source Pollution in the Miyun Reservoir Watershed
Authors: Li Mingtao , Guo Qianqian
Published: January 2020

Non-point source pollution is becoming an important factor affecting water environment in China. The Soil and Water Assessment Tool (SWAT) model, the most powerful tool in measuring NPS, has played a significant role in NPS research across China. The suitability and calibration of the SWAT model is of primary importance. This study evaluated the effectiveness and applicability of SWAT model in runoff and nutrient load in Miyun Reservoir watershed. The SWAT model was also calibrated and validated using parameter sensitivity analysis, which showed that ALPHA_BF, SOL_AWC, CN2, NPERCO, PHOSKD and PPERCO were the most sensitive parameters, resulting in large variations in hydrological and nutrient loads. SWAT calibration and verification suggested it is a reliable method of measuring the NPS pollution in Miyun Reservoir watershed. This study estimated and analyzed spatial and temporal variations in NPS pollution loads in Miyun Reservoir watershed from 2005 and 2010. Significant variations in NPS pollution loads were found in different simulation periods. There were noticeable differences and an uneven distribution between high- and low-flow years. Nutrient loss occurred most frequently during high-flow years and wet seasons, the crucial period for pollution prevention. The results show that the total nitrogen loads is much higher than the total phosphorus loads. The pollution loads resulting from various land use types showed significant spatial differences: agricultural land had the most TN and TP load per unit area, followed by grassland. Forest land had the least pollution load per unit area. NPS load has a remarkable association with the spatial distribution of precipitation across the entire watershed.
Analysis of Temporal and Spatial Characteristics of Global Fires
Authors: Li Wenjie , Yan Shiqiang , Wang Chengliang
Published: January 2020

Fires will not only affect the natural environment and human health, but also the satellite sensor for detecting infrared signals because of the strong infrared radiation. Based on statistical methods and visual analysis, this paper analysed the fire product data from 2015 to 2018 provided by the Visible Infrared Imaging Radiometer Suite (VIIRS) to understand the spatial and temporal distribution characteristics of global fires. The research contains the following results: the spatial distribution of global fires is basically the same in different years; The global fires are mainly concentrated between 45°S∼75°N latitude zone; The maximum of global fires for four years occurred in August, and minimum in May; The monthly number of fires in different latitude bands has a significant periodicity; The mainly distribution of fires are shifted in the northern and southern hemispheres with seasonal changes. The research results will lay the foundation for studying the distribution and type discrimination of fires.
Highway Ramp Radius Effects on Driving Safety Cognition
Authors: Xiao Jinjian , Weng Yubo , Xie Yingna
Published: January 2020

The driving safety cognition formation was effected distinctly by the highway ramp radius. The ramp radius and automobile velocity were adopted to build driving safety cognition formatting model in the highway ramp environment. The fuzzy logic reasoning rules were applied to construct the computing layers of driving safety cognizing formatting neural network. The driving safety cognition experimental samples in the different ramp radius were gained under different experimental automobile velocity. Weights of fuzzy-neural network layers were trained and were to analog compute effects on the driving safety cognitions under different ramp radius with different experimental velocity. The resulting analyzing to prove that the relations between the typical ramp radius and driving safety cognition were calculated accurately. The trained neural network structure of driving safety cognition based on the utilizing fuzzy inferences is helpful to improve driving safety cognitions of the highway ramp under different automobile velocity.
Block Adjustment of Large-scale Domestic Optical Satellite Remote Sensing Imagery without GCP in Antarctic
Authors: Wang Yi , He Mingyuan , Xiang Jie , Ge Jingjing
Published: January 2020

Aiming to the difficult area of surveying and mapping, such as Antarctic, it is difficult to guarantee favourable observation condition for traditional mapping methods. Large-scale block adjustment (BA) without ground control point (GCP) is carried out by using domestic high-resolution satellite remote sensing imagery. The key technologies of BA model construction based on virtual control point (VCP), gross error detection and elimination, and robust and fast method of large-scale BA are studied in this paper. On this basis, the experimental analysis and validation of 13pairs (39 images) of ZY-3 satellite imagery in Antarctic are carried out. The results show that the sparse matrix technology can effectively reduce the memory requirement. The combined matrix block and GPU parallel technology can solve the problem of large-scale BA computational efficiency. In addition, after BA, the maximum residual is 3.920 pixel, the root mean square error (RMSE) is 0.169 pixel in the X (flight) direction, the maximum residual error is 5.933 pixel, and the RMSE is 0.191 pixel in the Y (scan) direction. The proposed method has certain accuracy and stability in large-scale BA without GCP using high-resolution satellite remote sensing imagery in Antarctica. The relative positioning accuracy can reach sub-pixel level, which can meet the requirements of cartographic splicing.
Influence of Uncertainties in DEM Resolution and Surface Friction to the Building Treatment Methods in Urban Inundation Modelling
Authors: Shen Ji
Published: January 2020

This study evaluates the influence of uncertainties in DEM resolution and surface friction to building treatment method by conducting several simulations with various input parameters. A common two-dimensional hydrodynamic model is applied in a study area to produce the inundation results for every simulation. Comparison analysis between the simulation results and observed data suggest that the performance of building treatment method and urban inundation modeling is affected by the uncertainties in DEM resolution and surface friction. Moreover, different building treatment methods show disparity in sensitivity to the changes in model input. In practical terms, we can choose one of these methods based on the practical conditions, including available data, basin conditions and time constraints. The findings in this study are important for improving urban inundation models and for using their predictions in decision-making for various urban environments, which may provide some valuable insights into the flood management and risk assessment for the urban sites.
Concept of Absolutism - Comments on the Theory of Relativity and Quantum Mechanism
Authors: Zhang Luoping
Published: January 2020

After reviewed the problems in science and the folk that were difficult to be scientifically explained by contemporary physics, the reason is analyzed and found that contemporary physics is based on the human vision and cognition to think the universe, not based on nature. Then the concept of Absolutism is proposed based on nature itself and its intrinsic property, absorbed folk experience and lessons as well as religious thoughts, and criticized the Theory of Relativity and Quantum Mechanism. It includes three axioms and four corollaries to set up core concept, and establish the absoluteness of the material world. As an original concept of physics, the concept of Absolutism will deliver a revolutionary concept and thinking style for contemporary physics, and give contemporary physics a jolt after the Theory of Relativity and Quantum Mechanism have been proposed one hundred years.
Application of RS & GIS in Regional Landslides Susceptibility Mapping and Spatiotemporal Characteristics Analysis
Authors: Zhang Qiuwen , Ye Song , Yan Fei , Ren Bo
Published: January 2020

Landslide susceptibility mapping is one of the most important aspects of landslide early warning and prediction. Therefore, it is very necessary to improve the accuracy of landslide susceptibility assessment by focusing on the mapping results. Besides, as the obvious spatial and temporal heterogeneity of regional landslide susceptibility, revealing and mastering the spatial and temporal distribution characteristics of landslide susceptibility and analyzing their possible genetic mechanisms, have significant guidance for the development of landslide prevention measurements. With the integrated application of RS and GIS technology, firstly, this paper acquires and manages the landslide impact factors in the study area, then the regional landslide susceptibility zonation map is drawn, and finally, the spatiotemporal characteristics of the regional landslide susceptibility distribution are analyzed. It is shown that RS and GIS can play very important roles in the regional landslide susceptibility mapping and spatiotemporal characteristics analysis.
Improvement of MNIST Image Recognition Based on CNN
Authors: Wang Yifan , Li Fenghou , Sun Hai , Li Wenbo , Zhong Cheng , Wu Xuelian , Wang Hailei , Wang Ping
Published: January 2020

At present, great progress has been made in the field of image recognition, especially in convolutional neural network. Lenet-5 convolutional neural network has been able to identify handwritten digit MNIST database with high precision. In this paper, experiments show that different activation functions, learning rates and the addition of the Dropout layer in front of the output layer will make the convergence speed different, weaken the influence of the initial parameters on the model, and improve the training accuracy. It is proved that the modified LeNet-5 model has a better improvement in handwritten digit recognition. This method is an efficient recognition method.
Integration of Information Security and Artificial Intelligence Implementation
Authors: Wu Ying
Published: January 2020

The application of artificial intelligence will inevitably lead to a leap in the production, transmission and storage of information and changes in its characteristics. Information security will also have new characteristics. Artificial intelligence plays an increasingly important role in the field of information security, especially in defense and attack. From the series of legislation and planning in Europe and the United States, we can see how to make use of the characteristics of artificial intelligence to better protect and enhance information security has become a hot topic in the industry.
Evaluation of risk factors affecting the implementation time for residential complex projects in Iraq
Authors: Khaleel Tareq A. , Flayeh Mohanad Ahmed
Published: January 2020

Residential complex projects represent one of the most important infrastructure project types in Iraq, as these plays a significant role in housing provision. In recent years, various types of risks that may occur during the implementation stage of residential complex projects have been identified. To accomplish these projects successfully, it is thus very important to manage these risks where they may affect project objectives in terms of cost, time, and quality, and risks often cause delays or cost overruns. The concept of risk management is to develop a systematic process that includes planning, identification, response planning, analysis, and assessment of both qualitative and quantitative variables, monitoring and mitigation of risks. This research thus aims to identify, assess and analyse the factors related to risks that may affect the implementation time for residential complexes projects by means of conducting statistical analysis using IBM SPSS v22 and Microsoft Excel to determine the severity risk for such project risks based on a relative importance index. This data for this was gathered by means of a questionnaire, field survey, and personal interviews. The questionnaire consisted of three parts, with the first part including general information about the sample; the second part included 17 queries about applications of risk management systems as a methodology; and the third part discussed the probability of occurrence and impact of risks, with 57 factors considered. The results of the statistical analysis showed that only four out of the 17 items in section 2 were applied; further, by analysing responses to the 57 factors, only 25 factors were found to have high impacts on risk occurrence in residential complex projects in Iraq. This suggests that only 44% of time overruns in residential complex projects may occur due to risk factors. The most important factors in terms of high impact are executing works that do not conform to specifications, which leads to rejecting and returning works, inaccuracy of schedule, and delayed payment of advances in accordance with the contract.
Dynamic analysis of a rotating stepped shaft with and without defects
Authors: Jweeg Muhsin. J. , Alnomani Salah. N. , Mohammad Salah. K.
Published: January 2020

Rotating machines have many applications, in several mechanical systems. They typically contain a rotary shaft as an influence conversion unit, that is subject to multiple loads in operation. One of the most widely-used rotary machines is the pump, and pump shafts are exposed to many forces due to fluids, unbalancing due to slight bending in the shaft or errors of design or bearings, bearings-induced forces, etc. These forces can reach an unacceptable level once the rotor is functioning close to its natural frequencies. Excessive vibration levels within the device cause fatigue and thus tiny cracks may grow to a serious extent and ultimately cause failure. In this study, dynamic analysis of the pump shaft was made, with and without cracking. Fundamental bending natural frequencies and torsional natural frequencies, response shaft, the equivalent stresses and total deformations in each dynamic and static cases were evaluated. The dynamic load factor (DLF) was calculated in the presence of cracks of various depths (4mm, 6mm, 8mm, 10mm, 12mm) set at diverse locations (x=80mm, x=166mm, x=210mm) measured from the point of overhanging. The finite element method by ANSYS package was used to conduct the numerical analysis for this study, and a specific experimental test rig was built to verify the experimental results. Results showed that increasing depth of the cracks will lead to reducing in the natural frequency and, as a result, increase instability in the shaft. When the location of the crack is close to the highest bend point in the shaft, the natural frequencies will increase. In addition, the equivalent stress depends on cracking location and it is increased with increased depth of cracking.