bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Method for Dehazing Based on CycleGAN
Authors: Hu Yue , Chen Chunyu , Hou Siyi , Yang Menglong 
Published: April 2022

Abstract
With the development of artificial intelligence, computer vision has been widely applicated. The performance of these applications is closely related to the image quality, which is, however, affected by various lighting and weather conditions, such as rain and haze. The traditional methods focus on the dehazing problems under specific and idealize conditions, leading to the consequence that these methods can only be used in certain scenario on account of that indexes or hyperparameters need to be adapted according to the scene. This paper proposed an unsupervised learning algorithm for dehazing. We used the CycleGAN architecture to avoid difficulties when obtaining hazy and clear images in pairs. Besides, the identity loss was introduced for improving stability of the training procedure, and we used the reuse loss for sake of the steadiness of output hue. The experiments on public datasets such as RESIDE and I-HAZE show the effectiveness of the proposed method, which achieves comparable results to the state-of-the-art algorithms.
An Evaporation Duct Height Estimation Algorithm Based on Deep Neural Networks
Authors: Jiang Yilin , Yao Xin , Zhang Yuxin 
Published: April 2022

Abstract
In order to solve the problem of the evaporation duct height (EDH) estimation, focusing on the propagation loss (PL) features with different EDHs, this paper proposes an evaporation duct height estimation method based on Deep Neural Networks (DNN). The theoretical basis is Universal Approximation Theorem. DNN computes the EDH value with the high-dimensional features and posterior probability of PL. A large amount of PL simulation datasets with EDH=15-25m are used for model training, and datasets with EDH=25-35m are used to verify the ability of the network. Experiments show that the model in this paper has good feature extraction capabilities for simulation datasets. Compared with the naive Bayes algorithm, the accuracy and anti-interference ability of DNN are greatly improved.
Modality-Invariant and -Specific Representations with Crossmodal Transformer for Multimodal Sentiment Analysis
Authors: Shan Qishang , Wei Xiangsen , Cai Ziyun 
Published: April 2022

AbstractHuman emotion judgments usually receive information from multiple modalities such as language, audio, as well as facial expressions and gestures. Because different modalities are represented differently, multimodal data exhibit redundancy and complementarity, so a reasonable multimodal fusion approach is essential to improve the accuracy of sentiment analysis. Inspired by the Crossmodal Transformer for multimodal data fusion in the MulT (Multimodal Transformer) model, this paper adds the Crossmodal transformer for modal enhancement of different modal data in the fusion part of the MISA (Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis) model, and proposes three MISA-CT models. Tested on two publicly available multimodal sentiment analysis datasets MOSI and MOSEI, the experimental results of the models outperformed the original MISA model.
A Comparison of Stepwise Cluster Analysis and Multiple Linear Regression for Hydrological Simulation
Authors: Wang Chunxiao , Sun Jie , Li Yongping , Zhao Jing , Tian Baochuan 
Published: April 2022

Abstract
Investigating the dynamic characteristic of hydrological processes is of vital significance for environmental protection. In this study, the stepwise cluster analysis (SCA) method was used for monthly streamflow simulation in a hypothetical case. According to SCA, a cluster tree was formulated through training the data of monthly temperature, precipitation and streamflow from 2004 to 2010. Then, the generated tree was used to reproduce monthly streamflow in calibration period (i.e., 2004-2010) and validation period (i.e., 2011-2013). A comparison of SCA and multiple linear regression (MLR) was conducted to reflect the complex relationship of meteorological parameters (e.g., precipitation) and hydrological parameters. Model performance was assessed using Nash-Sutcliffe efficiencies (NSE), the determination coefficient (R
2), the root-mean-square error (RMSE) and the mean absolute error (MAE). NSE and R2 obtained from SCA are higher than that obtained from MLR. RMSE and MAE obtained from SCA are smaller than that obtained from MLR, indicating a better coincidence between simulated streamflow and the observed values in SCA. Results indicated that SCA has advantage in revealing the nonlinear relationship among precipitation, temperature and streamflow.
Reaction Model and Heat Release for Low-Temperature Ignition of Isobutanol
Authors: Díaz-González M , Prince J C , Castellanos-Onorio O 
Published: April 2022

Abstract
This research presents the study of heat release in the iso-butanol ignition process at temperatures T < 900 K, applying low-temperature chemistry and starting from a proposed kinetic scheme of 12 elementary reaction stages. A numerical analysis of the thermal energy release available for ignition is developed, where the formation of aldehydes is important in this combustion phenomenon. The low temperature kinetics for this alcohol were found to be unable to maintain the reactivity of the system. The OHs generated by low temperature chemistry react mainly to produce iso-butanal aldehyde instead of consuming the main fuel which inhibits NTC (Negative Temperature Coefficient) behaviour. To maintain the reactivity of the system, the reaction pathways of hydrogen peroxide H2O2 (HO2→H2O2→OH) are added, obtaining a short kinetic mechanism of 14 reactions that generates a good fit for the experimental developments of ignition time at lower temperatures. of 1000 K.
Research on Protection Effects of Drainage Line on Secondary Cable in Substation
Authors: Gong Lele , Shen Chen , Fan Lintao , Cai Xinjing 
Published: April 2022

Abstract
Ensuring the operation safety of secondary cable is an important part of substation grounding system design. In some cases with high soil resistivity and large grounding grid, the safety of secondary cable can not be guaranteed by optimizing the design of grounding grid. This paper compares the core-to-skin potential difference and the shielding layer current of secondary cable with or without drainage line. It is shown that the drainage lines, which are laid in parallel with the secondary cable, can significantly reduce the core-to-skin potential difference and shielding layer current of secondary cable during power frequency short-circuit and lightning stroke. When the radius of the drainage line reaches 5mm, core-to-skin potential difference and shielding layer current of secondary cable will be reduced to 1/3 of those when it is not laid.
Influence of Charge Injection on Dynamic Characteristics of Space Charge in Polymer Thin Films Under AC Stress
Authors: Deng Chuanhai , Wang Han , Xiao Jieping , Liu Yuqi 
Published: April 2022

Abstract
At present, most studies focused on the formation and accumulation of space charge under DC stress, relatively few studies focused on dynamic characteristics of space charge under AC stress. However, space charge dynamics under AC stress is of significance because the majorities of polymer insulation systems are subjected to AC voltage. In order to study the effect of charge injection mechanism from the electrodes on dynamic characteristics of space charge under AC stress, bipolar charge transport model are used to simulate the current density, electroluminescence intensity, space charge densities in polyethylene with different charge injection mechanisms. It is found that the simulated electroluminescence intensity and space charge densities under AC stress assuming the exponential functional approximation injection is more reasonable than those assuming the Schottky injection.
Lever-Based Semiactive Inerter and Its Application in Vibration Absorbers
Authors: Wu X C , Cui K K , Xiong Y Q , Chen M Z Q 
Published: April 2022

Abstract
In this paper, a lever structure is proposed to enlarge the range of inertances of existing semiactive inerters. A semiactive inerter with the lever structure would be called lever-based semiactive inerter. The transmission ratio of the lever-based semiactive inerter can be changed by setting a different ratio of the arm of force of the lever, and then the range of inertance of the lever-based semiactive inerter can be enlarged. This paper also presents the mechanical model of the proposed lever-based semiactive inerter. The lever-based semiactive inerter is applied to an adaptive tuned vibration absorber. The frequency-tracker-based control algorithm is derived to maximize vibration reduction of the absorber. It can be shown that the vibration absorber with the lever-based semiactive inerter can adapt to a broader range of frequencies of vibration compared with that of the classical semiactive inerter.
Crowd Stability Analysis Based on Pedestrian Abnormal Postures
Authors: Zhu Wenjie , Zhao Rongyong , Zhang Hao , Jia Ping , Wang Yan , Li Cuiling , Ma Yunlong 
Published: April 2022

Abstract
Abnormal behaviors of pedestrians in crowd gathering public places are important factors affecting the stability of crowd flow. Pedestrian abnormal postures are important manifestation of abnormal behaviors, which often leads to local turbulence, disturbance and density-speed fluctuations. It is urgent to discover the disturbance mechanism of abnormal pedestrian posture on the stability of crowd flow. This study intends to establish machine vision, kinematics, dynamic models and crowd confluence dynamic models for typical abnormal pedestrian postures in public places. We mainly use computer vision related technology based to recognize abnormal postures of pedestrians in videos, constructs a network matrix of key posture nodes, and studys the kinematics characteristics of abnormal posture nodes. Considering the number of pedestrians and the characteristics of the architectural scenes, we design a workflow to select the appropriate macro or micro dynamic model to build the crowd flow model. To validate the propuesd model, case in Shanghai Hongqiao railway station is studied.
Attribute Reduction Based on the Fuzzy Rough Set with Lukasiewicz Implication Operator
Authors: Ma Yuanhong , Zhong Yu , Zou Jietao 
Published: April 2022

Abstract
Attribute reduction is a common technique and has made breakthroughs in many aspects. One of the major development directions of attribute reduction is the extended fuzzy rough set models, which is embodied in the selection of fuzzy similarity relations and operators, eventually the derived membership functions. In view of the relatively simple selection of implication operators in related research, this article discusses the impact of different implication operators in the fuzzy rough sets. Secondly, the rough set model that relies on Lukasiewicz implication operator is further improved, and the proof of the closure of the new operator on the positive field is given. Finally, a new algorithm is given, and experiments are designed to prove the feasibility of the new algorithm based on eight public data sets.
Synthetic Evaluation on the Potential Ecological Risks of Heavy Metal Pollution in Sediments in the Sea near Bohe Port of Maoming
Authors: Zhu Xiaoping , Chen Wenlong , Wang Jianguo , Guo Wei , Lei Liehui , Liu Yisi , Ye Weicong , Chen Xiaoxuan 
Published: April 2022

Abstract
The pollution index method and Hakanson potential ecological risk index method were used to study and analyze the pollution factors (Hg, Cu, Pb, Zn, Cd, As, Cr) in surface sediments of the sea near Bohe Port of Maoming. The results show that the overall contamination level and potential ecological risk of typical pollutants are at the low level in this sea area. The sequence of the pollution degree of heavy metals in surface sediments is As> Cr >Zn> Hg>Cu>Pb>Cd; and the potential ecological risk sequence is Hg>As>Cd>Cu>Pb>Cr >Zn. Hg is the major factor of potential ecological risk in surface sediments of this sea area.
Analysis on Cracking of a Pipeline Steel Pipe during Hydraulic Burst Test
Authors: Luo Huaquan , Yang Lineng , Chen Xiaoli 
Published: April 2022

Abstract
Through macroscopic and microcosmic analysis of fracture, chemical composition analysis, fracture microscopic analysis and other methods, the causes of longitudinal and transverse fracture (only longitudinal cracking commonly through thousands of columns) in hydraulic burst test of L360M LSAW pipe were analyzed. Test results showed that the causes of transverse cracks in the steel pipe were the poor toughness of the pipe material which was related to the serious ferrite-pearlite banded structure. The serious band structure in the pipe was related to the high manganese content in the steel, which leaded to manganese segregation. We can use some measures to reduce the banded structure including controlling the element manganese content reasonably, reducing the final rolling temperature, controlling cooling rate and micro alloying.
Analysis of Onshore and Offshore Soils in the Lower Xiangjiang River
Authors: Zhou Yu-feng , Zhang Nan , Han Weizheng , Li Qing-qing , Cheng-ya  , Li Na 
Published: April 2022

Abstract
The soil on the west bank of the Xiangjiang River in the main urban area of Changsha, Hunan Province is referred to as shore soil, and the soil on the mid-levels of the Yuelu Mountains in Changsha is referred to as offshore soil. To stabilise the heavy metals in the soils, which do not readily migrate by pyrolysis, these soil samples were heated at 450°C for 3 hours in a muffle furnace and removed after natural cooling. These heated and stabilised soils were analysed by inductively coupled plasma emission spectrometry (ICP-OES), scanning electron microscopy (EMS) and XRD diffractometry respectively. It can be found that: (1) There is a difference in the heavy metal content between the shoreline soil and the offshore soil of the Xiangjiang River. (2) The scanning electron microscope shows that the microstructure of the soil is altered by prolonged river water infiltration and washing. (3) Both onshore and offshore soils are a mixture of crystalline and non-crystalline materials, with less non-crystalline material in the onshore soil compared to the offshore soil. (4) The main crystalline material in both onshore and offshore soils is SiO2.(5) Soil samples containing metallic elements are mostly in non-crystalline form.
Research on the Physicochemical Properties of Fine Particulate Matter in Changchun, Northeast China
Authors: Zhou Yu-feng , Han Weizheng , Zhang Nan , Qing-qing Li , Cheng-ya  , Zhang Dan , Li Na 
Published: April 2022

Abstract
Objective: Air particulate matter concentrations in Changchun City, Jilin Province, may change around the autumn heating day. The aim of this study was to provide data references for environmental protection, detection and regulation in Changchun. Methods: Atmospheric particulate matter samples were collected using an airborne particulate matter sampler on the roof top of the Civil Engineering Teaching Hall on the campus of Jilin University of Construction; free settling dust of Atmospheric particulate matter was collected using metal trays. Atmospheric particulate matter concentrations were analysed by manual detection methods (weight method), carbonaceous fractions by total organic carbon analyser, and atmospheric fallout material composition and crystal structure by XRD diffractometer. The physicochemical properties of fine particulate matter around the autumn heating day in Changchun were investigated. Conclusions: (1) The daily average concentrations of various types of atmospheric particulate matter PM1, PM2.5 and PM10 generally increased after the start of the heating period. However, air quality is influenced by a combination of meteorological factors, of which emissions of air pollutants from urban heat generating plants during the heating period is only one aspect. So there is a situation where the average daily concentration of atmospheric particulate matter is lower after heating than before. (2) Analysis of the atmospheric its particulate matter PM2.5 samples collected around the heating day showed that the daily average concentrations of organic carbon (OC) and elemental carbon (EC) of atmospheric its particulate matter PM2.5 increased significantly after the heating day. (3) There was no significant difference in the main components of atmospheric dust fall before and after the heating day in Changchun, with the main components being crystalline SiO2 and a small Number of impurities.
QoS Assessment for Video and Audio Data based on a Testbed for Multimedia Wireless ad Hoc Networks
Authors: Anh Ngo Hai , Giang Pham Thanh 
Published: April 2022

Abstract
Currently, with the fast modernization of wireless networking technologies as well as the very complex needs of the network users, multimedia data takes for a large proportion in the types of network services, this type of data requires Quality of Service (QoS) differs from traditional data, by ensuring the listening and viewing elements of the user. In this paper, we analyse the effect of video and voice data on QoS of wireless network services based on the establishment of an experimental evaluation (emulation) system or testbed, thereby providing empirical analysis on the effect of multimedia data on mobile wireless QoS.
Impact of Intelligently-configured Cloud Service Capability for High Manufacturing Performance via a Multi-agent Model
Authors: Zheng Xin , Zhang Xiaodong , Lei Shaojuan 
Published: April 2022

Abstract
In order to discover the impact of intelligently-configured cloud service capacity for high performance, this paper proposes a multi-agent model that simulates industrial manufacturing activities via a cloud platform via XaaS (Anything-as-a-Service). The multi-agent model is adopted to simulate cloud manufacturing based on two groups of service providers with different configurations on service capability. The capability configurations have been conducted against 8 kinds of service demands with the aim at the impact on how to configure cloud service capacity for high performance. Furthermore, the intelligent configuration is proved with high relevance of better task responses to diverse service demands. In the meantime, the intelligent configuration is also characterized with flexible adaptability and service balance. As a result, service performance has been effectively improved and significantly optimized by adjusting the service sequence within a given period that reduces the switch frequency among diverse service types.
Model to Relationship the Speed of Hand Movements with the SEMG Signals from the Forearm
Authors: Sandoval-Rodriguez C L , Pita-Mejia A C , Villamizar-Mejia R , Tarazona-Romero B E , Lengerke-Perez Omar 
Published: April 2022

Abstract
Various previous works have sought to achieve hand prostheses with natural movements. It has been employed tools to recognize patterns of surface electromyographic signals associated with each move. Although many successful studies classify some types of hand movements with high performance, the results show that the speed and strength must be analyzed so that the resulting moves are like those of a natural hand. This study evaluates 23 healthy subjects at two different speeds and six types of movements (pronation, supination, ulnar deviation, radial deviation, flexion, and extension -276 records of SEMG and Velocity). The objective was to obtain a model (transfer function) that would allow the relation of the velocity profiles with the tone of the forearm SEMG signals. The results show models with an average RMSE of 18.55% for slow movements using low-order systems (2). The parameters of the models between subjects are very different, with high coefficients of variation and standard deviations, which implies that the fitting must be for each subject.
Features of the Formation of an “Information Flight Model” by Simulators of an Aviation Simulator
Authors: Roganov Vladimir , Chetvergova Maria , Remontova Lyudmila 
Published: April 2022

Abstract
Currently, flight simulators are being developed to train pilots in the professional piloting of an aircraft in “special cases of flight”. This is due to the need to teach the pilot the professional skills of piloting an aircraft in situations that are dangerous to reproduce in real flight. An aviation simulator is a combination of several imitators that simulate information about the behavior of all units of the aircraft and information about the interaction of the airframe of the aircraft with the atmosphere, depending on the control actions transmitted by the pilot through the simulators of the flight simulator controls. It is believed that the quality of information models synthesized by simulators is determined by the capabilities of modern software and hardware elements, or used mechanical units. It is impossible to create a complete model of any node; therefore, each imitator synthesizes, in addition to true information, additional false information. It is impossible to exclude false information. Therefore, when developing aviation simulators, a number of training situations are determined. The article discusses the features of assessing the degree of participation of information from two groups imitators in the formation of the components of a cognitive model that allows a pilot to fly an aircraft.
Research on Advanced Driver Assistance System Oriented Height Distortion Hierarchical Shape Point Matching and Interpolation Algorithm
Authors: Zhang Kai , Wang Weili 
Published: April 2022

Abstract
In order to meet the needs of matching Advanced Driver Assistance System (ADAS) map elevation data to ordinary map shape points, we propose a hierarchical point-position matching algorithm and interpolation algorithm. The main work is as follows: (1) Under the premise of considering different road scenes, the characteristics of road shape points on the ADAS map and road shape points on an ordinary map are fully analyzed, and elevation data are matched to road shape points on an ordinary map through graded matching calculation to obtain more accurate elevation value. (2) For the road shape points on the ordinary precision map which does not match the appropriate elevation value, the more accurate results are calculated by interpolation method according to the elevation value of the front and back order points, so as to achieve the coverage of the road elevation value on the ordinary map. Take the road of Beijing map as the test sample, and the results show that the algorithm is reasonable and effective through statistics and sampling analysis. In terms of the verification of matching coverage, the ADAS map road network points are successfully obtained or calculated the effective elevation value of 976835 points, with a matching rate of over 99.99% after the hierarchical point-position matching algorithm and interpolation calculation algorithm. Furthermore, the results of the practical application of feedback also show that the algorithm can satisfy vehicles daily for ADAS basic function application.