bluuebunny/crossref_metadata_2025_split huggingface dataset:
TCPW-F: A Congestion Control Algorithm Based on Noise-aware in Wireless Networks
Authors: Zhao Fei , Jiang Yufei , Wang Yaming , Tang Junyong 
Published: August 2021

Abstract
Due to the wireless link with more noise packet loss and higher latency as compared with the wired link, conventional TCP Westwood (TCPW) variants over wireless channels perform unsatisfactorily when competing for the shared capacity of the bottleneck link with other variants. The shortcoming is these variants mistakenly interpret noise packet loss as a congestion signal. This leads to frequent delay jitter and long latency due to the inability to distinguish the type of packet loss, which reduces the transmission efficiency of the network. Therefore, we propose a novel TCP variant (TCPW-F) that distinguishes noise loss and congestion loss. By constructing the congestion factor F, the real-time available bandwidth can be calculated. When receiving congestion signals, it ignores the false of them induced by noise packet loss upon the wireless link but responds to true congestion according to backlog-constrained-based judgment. Therefore, TCPW-F is widely used in wireless networks with large noise interference. Numerical analysis and simulation results show that TCPW-F resists noise interference, and smooths the delay jitter per unit time. And the throughput of TCPW-F is significantly higher than other TCPW variants. TCPW-F improves the transmission performance in wireless networks.
A Heuristic Algorithm to Compute a Subgraph for TSP Based on Frequency Quadrilaterals
Authors: Deng Qirong , Wang Yong , Chen Liping 
Published: August 2021

Abstract
A heuristic algorithm was presented to compute certain subgraphs for symmetric traveling salesman problem using frequency quadrilaterals. If we choose a set of frequency quadrilaterals containing an edge to compute the frequency for it, the frequency of an edge contained within the optimal Hamiltonian cycle approaches an extreme value as the city number is big enough. A heuristic algorithm was designed to compute a frequency graph with randomly selected frequency quadrilaterals. A subgraph containing the optimal solution was computed according to a given frequency threshold. The experimental results illustrated that in certain instances for Euclidean TSP with scale above 1000, the number of edges in complete graph is reduced by more than 30 times. Moreover, the bigger the number of frequency quadrilaterals is used, the higher the frequency threshold is and the smaller the number of edges in the subgraphs is kept.
Product-assisted Optimization Method Based on Fault and Patent Knowledge Extraction
Authors: Liu Haiyan , Zhan Hongfei , Yu Junhe , Wang Rui 
Published: August 2021

Abstract
With the shortening of product life cycles, accelerating the efficiency of product optimization is crucial for companies. For this reason, a method for optimizing the design of auxiliary products with product maintenance data and patent information as the core is proposed. In this method, the text mining technology is used to extract the product maintenance knowledge hidden in the maintenance records, establish a product failure demand matrix to analyse the technical maturity of related fields. According to the patented technology efficacy information, a product knowledge service model for optimization design is established based on patent knowledge and product maintenance information. This model is constructed to provide technical personnel with product optimization knowledge services, which improves the efficiency of product failure optimization and the core competitiveness of the enterprise.
Method of Indoor Navigation and Safety Improvement by SE-Dense-DQN
Authors: Zhou Jie , Zheng Xin , Chen Mengting 
Published: August 2021

Abstract
Since the increasing requirement of indoor navigation with the assurance of safety, Deep Learning was been used in this area by numerous scholars. In order to help unmanned aerial vehicle navigate in various environment without prior experience, this paper proposed the method of Deep Q Learning with the Squeeze-and-Excitation Networks and Dense blocks. The structure of the Q-Network also amended with the information of LIDAR processed by Long Short-Term Memory to make sure the accuracy. The structure of the network shows in figure 6. The experiment conducted in simulated environment. Experimental results indicated that this method excelled in efficiency and accuracy than other classic Deep Q Networks like classic Deep Q Network and Double Deep Q Network. The results displaying in figure 8 and figure 9 shows unmanned aerial vehicle can arrive at target place more accurately than other networks.
Design of a Reconfigurable Information Collection and Identification System for Packages Storage and Checkout
Authors: Shi Yangao , Qian Guoming , Shen Jianghao 
Published: August 2021

Abstract
With the continuous and rapid development of e-commerce, the requirements of logistics informatization are also increasing. At present, the barcode collection and identification device used in the operation of packages storage and checkout is generally based on ASIC chip, which is not fast enough. Therefore, this paper proposes a reconfigurable information acquisition and identification system, which is applied to the operation of package storage and delivery. This system uses FPGA + ARM architecture to realize the functions of identifying, storing and uploading the barcode information on the outer surface of the package to the host computer through UDP protocol. Because the parallel operation structure of FPGA is used to design the barcode image processing accelerator circuit, the data processing capacity of the soft core processor is reduced, and the recognition speed of the system is improved as a whole. The test shows that this system is faster and more accurate than the package barcode information recognition device based on ASIC technology.
Design of Barcode Recognition System Based on YOLOV5
Authors: Zhu Xia 
Published: August 2021

Abstract
In this paper, based on the research focus of the current logistics field, a deep learning based express single-side bar code extraction algorithm is designed. This algorithm can recognize the original image and read out the information of the package. The algorithm is divided into two parts: bar code localization algorithm and bar code recognition algorithm. To avoid high delay, we use the YOLOV5S network to complete the barcode localization algorithm. First, the YOLOV5S algorithm is used to frame out the barcode, and the bounding Box is cut off. Then, OpenCV's method is used to obtain the deflection Angle of the image. Finally, affine transformation is used to correct the images with deflection. The bar code recognition algorithm is to use ZBAR algorithm to decode the bar code and output the decoded content in the form of string, and finally realize the location and recognition of the bar code on the single side of the express. Finally, through the test of the data set, it can be seen from the experimental results that this paper has accomplished the goal well.
A New Filled Function for Non-smooth Global Optimization and Its Applications
Authors: Wang Weixiang , Sun Guanglei , Shang Youlin 
Published: August 2021

Abstract
This paper aims to discover a global optima for non-smooth optimal issues by designing a novel filled function, which, regarded as a bridge delivering one minimizer to another minimizer, contains only one parameter for easy adjustment. Theoretically, the natures of the considered filled function are conducted as well as a new algorithm is presented. Finally, certain experimental calculations are presented to illustrate the performance of the constructed algorithm.
Synthesis of Adequate Mathematical Descriptions of Dynamic Systems for the Purposes of Forecasting, Control and Diagnostics
Authors: Menshikov Yuri 
Published: August 2021

Abstract
The article proposes to use adequate mathematical descriptions of dynamical systems which in some cases allow making a reasonable forecast of the behaviour of real processes, control of motion and diagnostics in deterministically statement. Two criteria for the adequacy are used (quantitative and qualitative types). The possibilities of adequate mathematical descriptions are investigated if both criteria are met. Several algorithms of synthesis of such descriptions are proposed.
Uniqueness of Solutions for the Initial Value Problem of a Simple Type Riccati Equation with Variable Fractional Order
Authors: Chen Lisha , Lin Shiyou , Li Boyang 
Published: August 2021

Abstract
In recent years, researches on the fractional Riccati equation have attracted extensive attention, and many achievements have emerged. However, most of the current works are carried out on the basis of constant fractional order. Here we study the Cauchy problem of one simple type Riccati equation with variable fractional order. By using Gronwall-Bellman inequality and other mathematical tools, we will prove the uniqueness of solutions of this problem.
A Generalized Distance-Based Total Uncertainty Measure in Complex Evidence Theory
Authors: Huang Xiumei , Zhang Yuanping , Yang Ming , Hao Yunzhi 
Published: August 2021

Abstract
In this paper, a generalized total uncertainty (GTU) measure method is presented directly under the complex evidence theory framework, rather than under the probability framework. GTU is defined based on the distance between the belief interval of each singleton and the most uncertain case, which is normalized by the normalization factor. We proved the properties of GTU. There is an average evidence that represents the average acceptable environment for data from sensors. According to the GTU difference of each data and the average evidence, data from different sensors are given different weights. Each weight represents the trustworthiness of each sensor data in the fusion process, and giving a low weight to abnormal data can avoid false conclusions. The practicability and rationality of the method are verified by numerical examples and applications.
Solution of Dynamic Games of Fractional Order by the Method of Grids
Authors: Mamatov Mashrabjon 
Published: August 2021

AbstractIn this article, we have studied the game problem of the equation of motion, which is described with partial derivatives of fractional order in a multidimensional domain. The time derivative is defined as the partial Riemann - Liouville fractional derivatives. To solve this problem, the grid method is applied for an equation with fractional derivatives. The convergence of the scheme is established and the error estimates are obtained in terms of the sampling step. Sufficient conditions are found close to each other for the completion of the pursuit. A method of controlling the pursuing player is constructed according to the feedback principle, which guarantees the desired result even in the situation of the most unfavorable controls of the fleeing player. In each of the above cases, a numerical method is constructed to find the price of the game in suitable classes of strategies and to construct the corresponding control laws. The discretization schemes for a differential game described by equations of fractional order in a multidimensional domain are constructed and studied.
Algorithm Development for Generation of Powder Particles for Use in Numerical Simulations of Powder Bed Fusion Additive Manufacturing Processes
Authors: Kelley Garrett M. , Ramulu Mamidala 
Published: August 2021

Abstract
This article presents an algorithm development methodology for incorporating the effects of powder quality into numerical simulations of powder bed fusion technologies. The framework leverages x-ray microtomography measurements of samples representative of changes in powder quality with powder reuse. Individual particles are labelled and analysed by postprocessing the three-dimensional data. Included in this data is the particle surface normal and point cloud information which can be used to reconstruct the particle using Poisson Surface Reconstruction in Open3D. This reconstruction can then be exported as a Standard Tessellation Language (STL) file that can be incorporated into discrete element method solvers such as YADE or finite element frameworks such as MOOSE. In this sense, libraries of particles can be generated and used in simulations. To demonstrate the applicability of this method, a publicly available NIST dataset is leveraged. In lieu of experimental data, a second method using Computer-Generated Imagery (CGI) software, Blender, is also presented. The methods are able to replicate powder features, such as satellites and surface irregularity, that are functions of both powder manufacturing methods as well as powder reuse cycles. These particle irregularities have important implications on part quality and manufacturing cost.
Numerical Analysis of Free Dust Diffusion Law in Large Section Construction Tunnel
Authors: Qiao Liwei , Sang Conghui , Yuan Wenchao 
Published: August 2021

Abstract
The Youzhushan tunnel (large section double-track railway tunnel) is used as the research background, the concentration distribution of the free dust diffusion trajectory after blasting in the working face was numerically simulated by using the finite element computational fluid dynamics software Ansys-CFD. The simulation results were compared with the field measured data, and the results are basically consistent. The results show that the lining trolley is the main equipment to hinder the dust diffusion, the free dust on both sides of the lining trolley has a clear boundary, and the high concentration of free dust has not been well diffused. A vortex area appears near the entrance of the adit level, which forces the free dust from the tunnel to do vortex circulation. The dust removal rate of parallel guide is about 66.5% after 800 seconds of ventilation and about 76.6% after 2400 seconds of ventilation. The drainage effect of parallel guide is more obvious when the dust concentration in the tunnel is lower.
Estimating Latent Factors Based on Statistical Data Analysis
Authors: Xu Guoqing , Yang Guoxiao 
Published: August 2021

Abstract
In recent years, statistical methods have been widely used to estimate latent risk factors that affect the prices of financial assets. This paper develops new estimators for asset pricing factors by introducing dependence measure--distance covariance, that can identify nonlinear dependence. We combined distance covariance with Principal Component Analysis (PCA) and Risk-Premium PCA (RPPCA) and made contrast analysis based on Chinese market data. RPPCA, as a new method, shows strong applicability and detects factors with high Sharpe-ratio efficiently. Moreover, distance covariance produces better performance than covariance in PCA as a factor estimator, which illustrates the superiority of the distance covariance. Finally, the most striking results revealed by the study is that RPPCA including distance covariance of residuals outperforms others with a smaller pricing error and a significantly large Sharpe-ratio.
Handwritten Digit Recognition Based On Spiking-Vovnet and Extended Application
Authors: Guo Yonghui , Li Yuntao , Zhang Yu , Li Yonggang , He Yonghua 
Published: August 2021

Abstract
Spike Neural Network (SNN) can provide an efficient reasoning process. In this paper, by modifying the Vovnet network to use IF neurons to replace the traditional Vovnet RELU neurons, testing on the open handwritten digit mnist data set, and comparing the Vovnet network structure of CNN and SNN for comparative experiments, it is found that the Spiking-Vovnet network is guaranteed and traditional Under the premise of the accuracy of the Vovnet network, the speed has been greatly improved, and at the same time, the resource consumption is reduced. In order to expand the application, in the synthetic aperture radar (SAR) image target detection, the Spiking-Vovnet network is used as the FCOS ship target detection feature extraction network. For promote the prise degree of detection, the variability convolutional neural network is lead into design a SAR ship Feature extraction network for ship target detection.
The design and performance of CUBES — a CubeSat X-ray detector
Authors: Kushwah R. , Stana T.A. , Pearce M. 
Published: August 2021

Abstract
CUBES is a X-ray detector payload which will be installed on the KTH 3U CubeSat mission, MIST.
The detector comprises cerium-doped Gd3Al2Ga3O12 (GAGG) scintillators read out with silicon photomultipliers through a Citiroc Application-Specific Integrated Circuit. The detector operates in the energy range
∼35–800 keV. The aim of the CUBES mission is to provide experience in the operation of these relatively new technologies in a high-inclination low earth orbit, thereby providing confidence for component selection in more complex satellite missions. The design of the CUBES detector is described, and results from performance characterisation tests carried out on a prototype of CUBES, called Proto-CUBES, are reported. Proto-CUBES was flown on a stratospheric balloon platform from Timmins, Canada, in August 2019. During the ∼12 hour long flight, the performance of Proto-CUBES was studied in the near-space environment. As well as measuring the X-ray counts spectra at different atmospheric depths, a 511 keV line from positron annihilation was observed.
Computer modelling of R.C. shear walls-comparative analyses at different values of the reduction coefficient. Internal forces values
Authors: Tsvetkov S 
Published: August 2021

Abstract
The report shows a continuation of analyses of reinforced concrete shear walls solved by horizontal forces [14]. In certain places in the walls the stiffnesses are reduced, thus comparing the obtained results between the groups of models. Solutions for wall and mixed structural systems are shown. The decisions were made with specialized Tower software based on work by the Finite Element Method. Interesting conclusions can be seen for the level between the rigid basement and the first floor. Decreases in bending moments and increases in shear forces are observed. Motivation – quick analysis of walls subjected to the action of horizontal forces (hand analysis, without program system); the goals-proving the idea of the influence of the supports from the basement levels; the methodology-solutions with specialized software-only for a certain speed in the decisions. The solutions have characteristic geometry and loads and can be easily parameterized with correction factors.
Effect of cooling on power generated by photovoltaic panels
Authors: Hudișteanu S V , Cherecheș N C , Popovici C G , Verdeș M , Ciocan V , Balan M C , Țurcanu F E , Scurtu I C 
Published: August 2021

Abstract
The paper presents a numerical analysis of the operation of photovoltaic (PV) panels integrated in fixed position on the roofs or facades of the buildings. Knowing that the efficiency of photovoltaic panels is temperature-dependent, and due to fixed PV panel position, the possibility of the improving the conversion is analysed from the point of view of the temperature of the PV cells. The model is simulated using TRNSYS software and the main functioning parameters assessed are the operating temperature of the cells, open circuit voltage, maximum power generated and conversion efficiency. The solution proposed for cooling consists in using water heat exchangers attached to the backside of the photovoltaic panel. The results highlight the direct dependence of the photovoltaic efficiency with the temperature of the panel for different positions in the same geographical location. The energy gain during the cooling interval is about 26.9 Wh/m2 (vertical), 81.9 Wh/m2 (inclined) and 81.7 Wh/m2 (horizontal), which represents an increase of 5.8%, 9.3% and 9.2% respectively, compared to the normal operating conditions.
Experimental statistical models for the study of cement-concrete for road pavements
Authors: Chintea L , Mishutin A , Grynyova I , Zavoloka M 
Published: August 2021

Abstract
The article presents the calculation and statistical analysis of the experimental statistical (ES) model of the several samples of concrete and reinforced concrete for road pavements. For the analysis, the Program (dialogue) Complex COMPEX was used, which was developed at the Odessa State Academy of Civil Engineering and Architecture by scientists of the scientific school of prof. V.A. Voznesensky. In the research of the structure and properties of rigid road pavements concrete with an optimal plan, a 4-factor experiment was carried out, in which the following factors of concrete composition were varied: X1- the amount of Portland cement PC II / A-Sh-500, from 400 to 500 kg / m3; X2- the amount of polypropylene fiber from 0 to 2 kg / m3; X3- the amount of Metakaolin, from 0 to 30 kg / m3; X4- the amount of complex action additive (polycarboxylate type) Coral ExpertSuid-5, from 0.6 to 1% of the cement mass. An increase in the amount of Coral ExpertSuid-5 additive from 0.6 to 0.8% of the cement mass is noticeable, by 10…12%, and decreases the W/C ratio of mixture. An increase in the amount of this additive of complex action to 1% causes a further, but less noticeable, decrease in W/C ratio.
Asphalt mixtures for bituminous coatings with BF slag filler
Authors: Nanea D R 
Published: August 2021

Abstract
Asphalt mixtures, as a construction material intended to produce bituminous coatings, consists of a homogenous mixture made from natural aggregates and bitumen. Replacing one of the natural rocks, the filler with artificial filler, a metallurgical industry waste material, will determine a saving of material and financial resources. This can be used as an actual method of environmental protection by conserving the relief, protecting localities from noise produced in stone quarries and reusing a waste material. The processing of granular blast furnace slag from the Liberty Galati plant by grinding it exceptionally fine, into filler and their subsequent use in the preparation of asphalt mixtures, leads to obtaining favourable results on two of the most used currently in the country, AC16 surf50/70 and AC 22.4 bin50/70.
These values will provide an image on the behaviour resistance and their deformability under traffic. A high-water absorption can indicate a porous mixture and favours the penetration of water into the layer, water that can change its volume during freezing-thawing and can lead to cracks in the bitumen film, stripping, dislocation of pieces in the layer. A high creep can indicate a mixture which will deform under traffic, will form slopes, or will favour the phenomenon of exudation.
High stability may indicate a rigid mixture and under traffic does not have an elastic conduct, which can lead to cracks in the road surface.
Framing of the results and the appreciation of this conduct of asphalt mixture made with bf slag filler compared to a standard, leads us to the finding that the mixture is accurate and will withstand environmental factors.
Analytical methods for selection of demolition technology
Authors: Popov O , Chystiakov A , Petrovsky A 
Published: August 2021

Abstract
Demolition of buildings and structures, or their structural elements, is primarily aimed in designing stage – for the reconstruction or renovation of a building or complex of buildings, updating the appearance, design or philosophical meaning of an object. Therefore, demolition must be approached no less responsibly than the construction itself. The article deals with data on the economic feasibility of a correct approach to demolition, which allows the maximum extraction of raw materials from construction waste for further construction. The article provides a brief overview of the technologies for demolition structures to select the optimal and most effective. For the best use of the existing knowledge on this subject, and as a result – obtaining the greatest economic benefit, it is proposed to classify demolition technologies, their description and recommendations for use. For this, it was proposed to create a certain database that can, in an interactive form, help to choose the optimal technology for demolition a building or a separate structure.