bluuebunny/crossref_metadata_2025_split huggingface dataset:
Networked FDA-MIMO radar positioning to suppress dense false target jamming
Authors: Chen Hao , Liu Yana , Lv Mingjiu , Zhang Xiuwei , Xia Bin , Xie Dang 
Published: May 2021

Abstract
Aiming at the dense false target jamming, the existing research does not consider the problems of true and false target identification and position estimation at the same time. A method of dense false target jamming suppression is proposed based on multiple-input multiple-output frequency diverse array (FDA-MIMO) radar network, which makes full use of the different characteristics of true and false targets in the space-time two-dimensional range distribution. It discriminates true and false targets and locates true targets and jamming sources in transmit-receive two-dimensional frequency domain. Then other radars in the information sharing network are instructed to silence sector at the location of the jamming source to reduce the jamming power into the radar. The netting radars capabilities of target detection and jamming suppression are improved by this method.
A Measurement Method for Wide-frequency Harmonic Signal in Power Grid Based on Window Interpolation FFT and RLS-Adaline Neural Network
Authors: Peng Jiawei , Pan Shuguo , Wang Wenxiu , Zhang Min , Shen Jian , Gao Wang , Xia Chenglin 
Published: May 2021

Abstract
With the increase of non-linear loads in power grid and the development of power electronics, the growing serious harmonic pollution has put forward higher requirements for the accuracy and real-time performance of the measurement method. For this problem, this paper proposes a wide-frequency harmonic signal measurement method based on window interpolation FFT and adaptive neural network. After the window function is selected, the frequency of harmonic is estimated by double-spectrum-line interpolation algorithm based on three-term third derivative Nuttall window, and then the smoothed frequencies are input into RLS-Adaline neural network to estimate the amplitude and phase of each harmonic. The simulation results show that the proposed method has higher measurement accuracy and stability under few data conditions and low signal-to-noise ratios than conventional window interpolation algorithms. High accuracy measurement of harmonics with short time window in the range of 0∼2.5kHz is effectively realized.
Clever Ant Colony System for Key Covering Problem in the Group Rekeying
Authors: Hong Sunyan , Adu Jianhua , Zhang Yunfei 
Published: May 2021

Abstract
The key covering problem (KCP) in the group rekeying for secure multicast communication is NP-Hard. We try to introduce the ant colony optimization (ACO) idea to solve the KCP, but the KCP can’t be solved directly by the existing ant algorithms. So we design a new kind of heuristic algorithm, called clever ant colony system (CACS), for the KCP. Firstly, we establish a map from a secure multicast group to an auxiliary key graph (AKG). Secondly, according to the idea of the ant colony system (ACS), we design the CACS over AKG. Finally, using simulation, we verify that the CACS is feasible and keeps high performance with a very short time.
Two Stream Convolution Fusion Network based on Attention Mechanism
Authors: Chen Shengbo , Wang Yuzhi , Lei Zhou 
Published: May 2021

Abstract
Due to the intuitiveness and low cost of image data, action recognition based on image data has always been the focus of action recognition research. The most of studies show that spatio-temporal two-stream network has very superior performance in the field of action recognition. However, traditional two-stream convolutional model needs multiple training, and the method of fusion two-stream models is too simple. In this research, a new two stream convolution fusion model is proposed, which can train our model end-to-end. At the same time, the basic model of spatio-temporal flow model is replaced by CBAM_Resnet. The model is improved on the basis of resnet_101, which gives weight to channel and spatial features, so as to improve the performance of the model. In this paper, the RGB image and the optical flow in X and Y directions are taken as the input features of the fusion network, and the final classification result of the model is obtained. Our method is validated on HMDB51 datasets, and the experimental results show that the accuracy of our model is improved by 4%.
Application of the green port technology
Authors: Guo Xu , Ren Haidong , Jiang Tao 
Published: May 2021

Abstract
Green development is the future development direction of the port, and the foundation of green port construction is the application of new technology. This paper introduces the key technology ( Application of high voltage shore power, Large scale application of RTG oil to electricity, Application of intelligent and precise dust suppression technology in coal terminal) applications of several types of green port development, and provides suggestions for the future development of the port.
Distance-based Human-Object Interaction Detection
Authors: Li Weifeng , Yang Hongbing , Lei Zhou , Niu Dawei 
Published: May 2021

Abstract
In our lives, the interactions between humans and objects around them are happening all the time. The purpose of human-object interaction(HOI) detection is to locate humans and objects in a visual scene and infer the type of interaction between the two. Most of the HOI detection works infer the interaction type from two aspects: spatial features and visual features. We adopt the same strategy as them, but in the stage of extracting spatial features, we believe that the relationships between human body parts and objects are very important. We choose distance as a standard to measure the relationship between body parts and objects, and add it to the process of extracting spatial features, then use the refined spatial features to further extract visual features. Our experimental results on the V-COCO dataset show that our new model based on distance is effective. Compared with other methods, the accuracy of our model is significantly improved.
Phased array radar system design based on single-send and multiple-receive for LSS-UAV target
Authors: Shen Jing , Xie Jinhua , Yu Xuewei , Pan Xuefeng 
Published: May 2021

Abstract
In order to improve the precision of radar target positioning, the phased array frequency modulated continuous wave (FMCW) radar system based on single-send and multiple-receive is proposed for low altitude, slow speed, small Unmanned Aerial Vehicle (LSS-UAV) target. The much lower-cost passive electronically scanned array (PESA) radar technology has been employed for the azimuth electronically scanning. In addition, wide beam scanning beam of elevation direction is used to further expand the range of space coverage. Phase-comparison method is adopted to high-precision angle measurement of elevation direction in interferometer angle measurement system with dual distributed receivers. As a result, the novel radar system possesses the abilities of Doppler velocity measurement and linear FMCW distance measurement, as well as the high precision angle measurement at the same time. It can provide long distance, wide range, all-weather/time detection accurate target location information for optical system and electronic interception system to detect LSS-UAV targets for some more cost-sensitive applications in the homeland security market.
Short-term load forecasting based on depth measurement information
Authors: Xu Jian , Ma Gang , Shan Xin , Wang Yi 
Published: May 2021

Abstract
According to the predicted time span, the power load forecasting problem can be roughly divided into long-term and short-term forecasting. Among them, ultra-short-term load forecasting generally outputs load changes in the next few minutes to for on-line monitoring of power equipment, while short-term load forecasting mainly refers to pre-day load forecasting and pre-week load forecasting. It provides reference for hydropower dispatching, unit start and stop, water-fire coordination and so on, and is the basic work needed for the daily operation of power grid. In this paper, long and short memory networks network is used to predict short-term load, and depth measurement information is used as neural network input to construct mapping relationship based on load sequence timing.
Research on Gating Scheduling of Time Sensitive Network Based on Constraint Strategy
Authors: Dai Jialin , Wang Zhongcheng , Zhong Long 
Published: May 2021

Abstract
With the continuous development of industry, information and intelligence have gradually become the keywords of industrial control. In modern industrial scenarios, more and more devices are connected to the factory network, and the complex network environment will greatly affect the end-to-end transmission performance of key control flows, which brings a huge impact to those high-precision control signal transmissions. With the development of Time Sensitive Network (TSN) in recent years, more and more people have introduced this technology to the field of industrial control. In this paper, we propose a scheduling scheme based on constraint strategy for the key technology of TSN—Time Aware Shaper (TAS). This scheme can derive the appropriate network constraint strategy and optimization scheme of network resource utilization according to the end-to-end Quality of Service (QoS) of multiple key data streams in the network, and finally obtain the configuration scheme of Gate Control Lists (GCLs).
Low-cost design of a PCB imaging system based on laser triangulation
Authors: An Wanqing , Su Xinming , Liu Xiaoning , Zhu Xi 
Published: May 2021

Abstract
With the increasing miniaturization of electronic products, fanless design is required. The volume of electronic components, especially the height, is critical to the structural design of electronic devices. This paper proposes the design of on-line height measurement equipment based on commercial charge-coupled device (CCD), analyses the principle of height measurement of components, and explains the system composition and working principle of the measurement system. Moreover, it presents a comparative analysis of common methods for determining the center position, which include circle fitting, the gray centroid and extended method or Gaussian fitting, which generally lead to diverse results. The experimental results show that Gaussian fitting is better than other methods under realistic conditions, a three-dimensional model of the components is provided, and the error factors that affect measurement are analyzed.
Delay optimization strategy based on aperiodic traffic in time-sensitive networking
Authors: Wang Zhongcheng , Dai Jialin , Zhong Long 
Published: May 2021

Abstract
Time-Sensitive Networking (TSN) is a cluster of protocols working in the data link layer of the OSI reference model, which has been introduced into the industrial Internet due to its ability to ensure the deterministic transmission of data. Through IEEE 802.1AS clock synchronization and IEEE 802.1 Qbv gating mechanism, TSN networks allocate separate transmission time slots for periodic signals to ensure low delay and jitter, but this increases the delay of aperiodic stream to some extent. In this paper, a scheduling scheme of Grouping transmission is proposed. By changing the sending time of periodic data stream, the periodic data stream which is originally continuously transmitted is divided into several groups to be transmitted in different time periods in a cycle, so as to reduce the real-time aperiodic data stream delay. Experimental results show that the proposed scheduling scheme can reduce the transmission delay of the non-periodic traffic without affecting the quality of service (QoS) of the periodic traffic.
Impact of Program/Erase Cycles, Total Ionizing Dose and Data Bake on Data Retention of 55nm SONOS Flash
Authors: Guo Xuanchen , Yue Suge , Li Jiancheng , Zhou Tao , Zha Qichao 
Published: May 2021

Abstract
In this paper, the data retention capability of 55nm SONOS Flash under the worst condition is studied by superimposing experiments of program/erase cycles, total ionizing dose (TID) and data bake. The results show that after 100k program/erase cycles and data bake, the data retention of the memory transistor is basically not affected. After 100k program/erase cycles, 200Krad(Si) TID and data bake, the data retention of the SONOS memory transistor is mainly reflected in the radiation-induced charge leakage. If the data is rewritten after TID, irradiation has basically no impact on its data retention capability.
Truncated total variation image denoising model based on fractional B-spline wavelet
Authors: Sun Zefang , Ji Dongjiang , Yang Shidi 
Published: May 2021

Abstract
In order to suppress the noise and keep the clear structure, edges and details of the image under noisy images, a truncated total variation (truncated TV) image denoising model based on the fractional wavelet domain is proposed. The fractional B-spline wavelet can well describe the features of fractional singularity such as fine textures in the image. The truncated TV model is based on the TV model, which solves the shortcomings of the TV model’s large penalty amplitude and reduced image contrast. The model first performs the fractional B-spline wavelet transform on the image, applies truncated TV to the fractional wavelet domain to process the image, and then performs the inverse transform of the fractional B-spline wavelet transform to obtain the denoised image. The experimental results of image noise reduction show that compared with some existing image noise reduction methods, the proposed noise reduction model can effectively suppress noise and maintain the structure and details of the image. The application of the model to other fields in the future remains to be studied.
A Real-time Multi-target tracking method based on Deep Learning
Authors: Sun Sitong , Wang Yu , Piao Yan 
Published: May 2021

Abstract
In view of complex model and poor real-time performance of current multi-target tracking algorithms, a real-time online multi-target tracking method based on deep learning is proposed. Firstly, the detector is used to detect the target in video image space and obtain its detection frame. After that, the position, coordinates and motion of the next frame of the target are predicted by the Kalman filter. Then Complete Intersection over Union (CIOU) is used as the distance measure to calculate the overlap between the detection box and the prediction box, and further generate the similarity matrix. Finally, the Hungarian algorithm finds optimal matching in the bipartite graph formed by the two boxes, so as to realize the data association between multiple targets. Experimental evaluation shows that this method finishes real-time and online multi-target tracking well.
A fuel-based method for updating mobile source emissions during the COVID-19 pandemic
Authors: Harkins Colin , McDonald Brian C , Henze Daven K , Wiedinmyer Christine 
Published: May 2021

Abstract
The COVID-19 pandemic and ensuing lockdown of many US States resulted in rapid changes to motor vehicle traffic and their associated emissions. This presents a challenge for air quality modelling and forecasting during this period, in that transportation emission inventories need to be updated in near real-time. Here, we update the previously developed fuel-based inventory of vehicle emissions (FIVE) to account for changes due to COVID-19 lockdowns. We first construct a 2020 business-as-usual (BAU) case inventory and adjust the emissions for a COVID-19 case using monthly fuel sales information. We evaluate cellular phone-based mobility data products (Google COVID-19 Community Mobility, Apple COVID-19 Mobility Trends) in comparison to embedded traffic monitoring sites in four US cities. We find that mobility datasets tend to overestimate traffic reductions in April 2020 (i.e. lockdown period), while fuel sales adjustments are more similar to changes observed by traffic monitors; for example, mobility-based methods for scaling emissions result in an approximately two-times greater estimate of on-road nitrogen oxide (NO
x
) reductions in April 2020 than we find using a fuel-based method. Overall, FIVE estimates a 20%–25% reduction in mobile source NO
x
emissions in April 2020 versus BAU, and a smaller 6%–7% drop by July. Reductions in April showed considerable spatial heterogeneity, ranging from 6% to 39% at the state level. Similar decreases are found for carbon monoxide (CO) and volatile organic compounds. Decreases to mobile source NO
x
emissions are expected to lower total US anthropogenic emissions by 9%–12% and 3%–4% in April and July, respectively, with larger relative impacts in urban areas. Changes to diurnal and day-of-week patterns of light- and heavy-duty vehicular traffic are evaluated and found to be relatively minor. Beyond the applicability to modelling air quality in 2020, this work also represents a methodology for quickly updating US transportation inventories and for calibrating mobility-based estimates of emissions.
Historical evolution and future trend of Northern Hemisphere snow cover in CMIP5 and CMIP6 models
Authors: Zhu Xian , Lee Shao-Yi , Wen Xiaohang , Wei Zhigang , Ji Zhenming , Zheng Zhiyuan , Dong Wenjie 
Published: May 2021

Abstract
Historical snow cover over the Northern Hemisphere was examined in the satellite-based NOAA-CDR data for the period of 1970–2019. Observed annual snow cover fraction (SNF) has reduced over most areas by up to 2%/decade, while annual snow cover area (SCA) has reduced by 2 × 105 km2/decade. However, SCA in the October–December season has increased by about 5 × 105 km2/decade. CMIP5 and CMIP6 historical experiments were validated against the NOAA-CDR data. Snow cover was generally well simulated in both CMIPs, with CMIP6 models performing better. The biases in SCA reduction were larger and smaller during summer and winter, respectively. The observed increase of October–November–December SCA in the 2000s was not reproduced. Climate projections of future snow cover were evaluated in CMIP6. SNF is projected to decrease in the next 80 years, under all four scenarios evaluated (SSP126, SSP245, SSP370 and SSP585). The higher the greenhouse emissions in the shared socio-economic pathways, the faster the reduction. Under the SSP585 scenario, the rate of SCA reduction is projected to exceed −1.2 × 106 km2/decade. By 2081–2100, annual (January–March) SCA is projected to decrease by more than 30% (20%). Under the SSP126 scenario, annual (January–March) SCA is projected to only reduce by about 10% (5%) relative 1995–2014 values. The reduction of Greenhouse gas emissions is critical to controlling the loss of snow cover; future snow cover only stabilizes under the SSP126 scenario, but continue to decrease under the other three scenarios.
Microbial Technique for The Production of Growth Regulator Compounds Indole Butyric Acid (IBA) and Its Role on The Rooting and Growth of Bougainvillea Spectabilis L. Stem Cuttings
Authors: Abd I. A. , Meklef A. A. , Neamah S. I. 
Published: May 2021

AbstractThe study included the application of microbial techniques to convert sesbanin and soybean seed powder into indole bio-compounds by using 3 bacterial isolates: Azotobacter chroococcum, Pseudomonas putida and Bacillus.megaterium obtained from the microbiology laboratories at the Center for Desert Studies. Peptone 1%, Then it was used alone, in pairs, or in combination to produce the indole butric acid (IBA) growth regulator compounds, using a medium containing locally prepared materials that included the dry powder of soybean seeds and sesbanin seeds. It also tested the ability of isolates to dissolve phosphate compounds and produce iron-chelating compounds. The results showed the ability of B. megaterium A. chroococcum isolates together to produce indole compounds at a rate of 182.3 mg L-1 when using a mixture of sesbanin seed powder and soybeans. The highest product rate of bio-indole compounds was 67.9 mg L−1with the use of a mixture of soybean seed powder and sesbanin medium.While the highest product rate reached 103.33 mg L−1by using the two isolates mixture of B. megaterium and A. chroococcum together. Also, P. putida, B. megateriumand, A. chroococcum isolates were found are able to produce iron-chelating compounds (+++, ++, ++) according to the sequence. These isolates B. megaterium, P. putida and A. chroococcum were found ability to dissolve phosphate compounds with average dissolving diameter of 10.43, 29.9 and 29.6 mm, respectively. The ability of the Bio-IBA growth regulator product was tested with or without cells isolates compared to industrial IBA at concentrations of 300 and 600 mg L-1 to influence some growth cutting of Bougainvillea spectabilis L. The results showed a significant effect on some growth characteristics such as germination percentage, number and area of leaves per plant, branch length and number of branches of the plant.
The Effect of Some Nitrogen Fertilization Practices and Tillage Systems on Growth and Yield of Wheat Crop within The Conditions of The Sedimentary Plain in Iraq
Authors: Al-Bayati A. H. , Ziydan B. A. , Al-Enzy A. F. M. 
Published: May 2021

Abstract
This study was carried out in the Faculty of Agriculture in Abu Ghraib in silty loam texture soil classified as Typic Torrifluvents, as a factorial experiment in split-split plot designs with four replicates. Tillage treatment input in the main blocks, By dividing the field into three sections, the first was left without a tillage (T0), the second was plowed a surface plowing to a depth of 12 cm (T1), while the last section of the field plowed with moldboard plow was used at operating depth of 25 cm (T2). The Nitrogen fertilization was added as the following: Ground addition (N1) included the addition of 125 Kg N ha-1 in two batches were added, first at the second irrigation after germination the wheat crop Ibaa 99 variety (broadcasting) and the second batch at the stage of expulsion of spikes, while the second treatment (N2) was foliar applied on the plant with the same amount above, as well as the third treatment (untreated control) no-Nitrogen fertilizer added (N0).At the end of the experiment after harvesting the following characteristics were studied: plant length, number of strokes, vegetative system weight, grain yield, weight of 1000 grains. Soil bulk density and the Mean weighted diameter of soil aggregate’s for depths of 5-0, 10-5, 20-10, 30-20, and 30-40cm, and we measured the mean weighted diameter and volumetric distribution of soil aggregates by dry sieving method, also the water infiltration.The results showed that the tillage method had significant effect on the soil bulk density values of the soil after preparing the land for cultivation. Also, there were significant differences between tillage treatments in this property values after harvesting. While there was a significant effect of nitrogen fertilization in increasing the soil mean weighted diameter values as affected by tillage when compared with the control treatment (without nitrogen addition), the Nitrogen fertilization resulted a significant increase in the studied wheat crop growth indicators in both tillage treatments T1 and T2. Within two the Nitrogen addition methods N1 and N2 compared to the control treatment for both treatments. In addition, there was a significant effect for interaction for the two studied treatments on the overlap of both factors in the studied growth indicators. Also Nitrogen fertilization had a significant effect on wheat yield content (seed yield, 1000 grain weight and protein content in grains) due to reduce tillage and nitrogen fertilization was reflected in the increase of yield.