bluuebunny/crossref_metadata_2025_split huggingface dataset:
Machine Learning Amplified Control System for HASEL Actuator Soft Robot System
Authors: Dong Yuheng 
Published: December 2022

Abstract
The HASEL actuator is a cutting-edge soft robot compound that is well suited for tasks in unstructured, dynamic environments and has the penitential for superiorly comfortable and smooth human-robot Interaction. However, the nonlinear relation between the input voltage, output strain of the actuators, and the difficulty of analytical modelling makes it hard to design its control software due to the various source of kinematic noises. Machine learning technics, however, which are invented to study the implicit relations in multiparameter problems that do not require pre-existing knowledge, are well suited for HASEL actuators. Traditionally, researchers consider the behavior of this time-dependent system as a sequence of consecutive statuses and use machine learning to enhance conventional algorithms that consume previous and current status and target and adjust the system using varying control input. However, HASEL actuators’ unique propriety of self-stable and negligible lag in response to input changing makes it possible to consider the spatial path of the structure as a whole and control it based on pattern matching. Introducing Recurrent Neural Networks (RNN) and multilayer perceptron (MLP), this paper presents a pattern-matching-based predictive control algorithm for the HASEL actuator system with acceptable size and high accuracy.
A Fast Automatic Charging Method for Robots Based on Optic Position and Navigation
Authors: Tang Ran , Lu Jun , Liang Lei , Peng Jiakai , Zhao Min , Zhang Wei 
Published: December 2022

Abstract
Automatic charging is one of the important functions of a robot. Traditional automatic charging is generally based on multiple sensors working with each other. With the development of vision technology, the application of robots’ first vision and third vision is becoming more and more widespread. In this paper, an automatic robot charging system based on optical position and navigation is presented based on third vision. The system design is simplified by positioning the robot and the charging stand based on the optic. After the experimental test, it shows that the robot and the charging stand are docked with high accuracy and the docking is completed well.
Research on Target Simulation Technology Based on Stokes Vector
Authors: Wu Gang , Zhao Haili , Cai Lianlian 
Published: December 2022

Abstract
With the development of polarization optical technology, polarization detection technology plays a more and more important role in the military and other fields. Existing research demonstrates that the degree of polarization of reflected light from natural objects can often be ignored, while the degree of polarization of artificial objects is relatively large. If the target tracker can identify and track the target with this optical characteristic, the tracking efficiency can be greatly improved. However, at present, there is a lack of testing devices for relevant trackers, and the cost of physical testing is much too high. Therefore, given the lack of an available polarization target simulator, the polarization target simulator based on the Stokes vector is designed. The results show that the polarized target simulator can simulate the polarization target with specific linear polarization information, and the linear polarization degree image and polarization angle image can be obtained by the graphic calculation software.
Improved Particle Swarm Localization Algorithm Based on Evolutionary Mechanism
Authors: Pan Yang , Yu Xiuwu , Liu Yong 
Published: December 2022

Abstract
Aiming at the problem of low localization accuracy and poor robustness when conventional localization algorithms are used for the localization of WSN nodes, an improved particle swarm localization algorithm based on an evolutionary mechanism is proposed. To reduce the ranging error in a complex environment, the anchor box algorithm is improved by using ranging information, and the search area is reduced by the improved algorithm to determine the possible region where unknown nodes exist. Then the objective function is established to transform the localization problem into a bounded optimization problem. The conventional particle swarm optimization algorithm is improved and genetic operators such as crossover and mutation are introduced to improve the search accuracy and global optimization ability of the algorithm. The simulation results show that, compared with the conventional positioning algorithm, the proposed algorithm has smaller positioning errors and stronger robustness.
Fingerprint Matching Method Based on Ant Colony Algorithm
Authors: Qiao Weigao , Zhang Jianzhong , Yuan Fei 
Published: December 2022

Abstract
Based on previous research, this paper proposes a model and implementation of large-scale fingerprint image retrieval. In the retrieval, the C-means clustering method is used to quickly retrieve fingerprint images, and the shortest path algorithm is used to achieve effective matching fingerprints, and finally, the fingerprints with a higher matching rate are obtained, thereby realizing rapid retrieval and matching of fingerprint IDs. The matching fingerprint minutiae features are analyzed, a retrieval method that can be used for fast fingerprint retrieval is given, and the principle of the method is expounded. The algorithm is used to filter and remove the pseudo-feature points of all fingerprints and is used to calculate the similarity between all minutiae operators. Then the operator with the highest similarity is selected, and the corresponding minutiae pair is used as the registration point pair to complete the two minutiae registration transformation of the point set. And finally, the pairing relationship of minutiae points is established. After that, the time complexity and space complexity of the selected retrieval method is analyzed. All fingerprint pairs with the “identical” relationship provided in the data file are used as query images to verify the retrieval method in the fingerprint dataset. The shortcomings and deficiencies of this method are pointed out, and other ways to solve this problem are introduced.
Foreign object detection algorithm for high voltage transmission lines incorporating atrous convolution
Authors: Hu Shuang , Li Yu 
Published: December 2022

Abstract
There are problems of complex background, serious occlusion, and low accuracy of foreign object detection on high-voltage transmission lines. In this paper, we propose an algorithm incorporating atrous convolution for the detection of four types of foreign objects that are more likely to appear on high-voltage transmission lines: bird nests, balloons, kites, and rubbish. The algorithm is based on the original YOLOv4 model, replacing the original SPP structure with an ASPP structure. By using the atrous convolution instead of the original pooling operation, the network is able to have a larger field of perception during feature extraction, while the resolution of the feature map is not degraded too much to avoid losing too much information. The experimental results show that the accuracy of this method reaches 93.73% on the transmission line dataset used, which is a significant improvement over the original YOLOv4 model and improves the detection capability of foreign object targets that are obscured in complex environments.
Skin Cancer Classification Based on Convolutional Neural Networks and Vision Transformers
Authors: Zhao Zhenhao 
Published: December 2022

Abstract
Skin cancer is one of the most prevalent illnesses in the globe, and early diagnosis is the most effective method for preventing the disease and reducing mortality. Nowadays, the most prevalent way of detecting skin cancer is a visual diagnosis by specialists using dermoscopy images. Nevertheless, the similarity of the appearance between skin cancer lesions and the complexity of dermoscopic images pose a great challenge for the detection and classification of skin cancer. To solve these problems, this paper compares the current start-of-the-art deep learning methods, Convolutional Neural Networks (CNN), and transformers, to verify which method is more suitable for automatic skin cancer lesion classification. First, we assign different weights to individual lesions to address the problem of imbalance of the dataset. Secondly, we crop the images in the dataset and utilize the method of data augmentation to enhance the sample size. Thirdly, we select and construct the corresponding methods of CNN and transformers. The methods selected for CNN are VGGNet and ResNet. The methods selected for transformers are Vision Transformers (ViT) and DeepViT. Finally, we analyze these methods in terms of the loss, accuracy, and confusion matrix on the related HAM10000 dataset. The experimental results demonstrate that both CNN methods and transformers methods can achieve good performance on the skin cancer lesion classification task, but the CNN methods perform better than the transformers methods.
Network Information Data Security Transmission Method Based on the DES Algorithm
Authors: Shi Lipeng , Chang Jie , Liu Shuo , Zuo Xiaojun 
Published: December 2022

Abstract
In view of the current network information data security transmission method in the process of data transmission, the abnormal data detection performance is poor and the attack rate is high in the process of data transmission. This paper proposes a network information data security transmission method based on the DES algorithm. The 3DES algorithm is used to complete the data encryption process, and the RSA encryption algorithm is used to encrypt the key to get the final data transmission object. The network model is constructed. The LOF algorithm is used to eliminate the abnormal data nodes, and the reliable network nodes are used to complete the data transmission. The experimental results show that this method can effectively reduce the missing rate of abnormal data, further improve the data resistance to attack, and promote the development of network data transmission technology.
A new model for rehabilitation training: a compliant driven hand exoskeleton design
Authors: Liu Hongxin 
Published: December 2022

Abstract
Robot-assisted rehabilitation for limb dysfunction caused by stroke is one of the key research topics today. Some researchers have found that the structure and driving mode of the exoskeleton will produce physiological deviation during training. Therefore, this paper will explore a kind of mechanical exoskeleton with optimized structure and suitableness for the characteristics of the human hand. This paper analyzes and improves the function and composition of the exoskeleton by investigating the physiological structure and movements of human hands. Based on the DH parameters of the model and the relationship between mechanical geometry, the motion trajectory is simulated with MATLAB to verify its motional realizability. The simulation results show that the manipulator can safely realize the movement in line with the characteristics of the human hand, and its installation and alignment can adapt to different human hand sizes. The inverse dynamics analysis of the model with the Jacobin matrix will promote the design of dynamics and control functions of the model.
Analysis and Research of Water Sprays in Civil Aircraft
Authors: Liu Ming 
Published: December 2022

Abstract
In the process of designing a new type of civil aircraft, the main manufacturer needs to obtain the type certificate, including the water spray test. Using the method of engineering estimation at the beginning of the design, we can effectively find the potential design problems in the initial stage and reduce the risk of subsequent tests. This paper studies water sprays under different runway water depths, tire parameters and speeds, obtains the basic track of the water sprays and determines the risk of the water sprays in compliance of civil aircrafts. It finds out the causes of the water sprays, analyzes them, and guides the model design.
Research on Testing and Calculation Analysis of Cargo Bay Fire-Extinguishing Agent Concentration Based on Different Loading in Civil Aircraft
Authors: Kou Hongfei 
Published: December 2022

Abstract
In the history of international aviation, there have been many fire accidents of the cargo compartment. To ensure that the fire is extinguished in time when the cargo compartment is on fire, and to ensure the safety of aircraft and personnel, the design of the cargo compartment fire extinguishing system needs to be verified according to CCAR 25. According to the AC851-1 guidance, the verification of the cargo compartment's fire extinguishing system design aims to test and calculate the concentration of fire extinguishing agents used for the C-class cargo compartment based on different loading conditions of civil aircraft. Through the flight test of the cargo compartment under a no-load condition, it can be seen that the concentration of fire extinguishing agents in the cargo compartment is higher than 5% in the initial phase, higher than 3% in the 39,000ft and 10,000ft level flight phase, and the entire flight test phase is maintained above the suppression concentration required by the test, which meets the system design requirements. The concentration of fire extinguishing agents in the cargo compartment under a no-load condition is calculated and analyzed according to the maximum load rate (full load), and the result is higher than the required 3% suppression concentration.
Function Design of Civil Aircraft Brake System Based on Model
Authors: Huang Renyu , Li Haomin 
Published: December 2022

Abstract
In view of the practical problems in aviation field, such as increasingly complex systems and relationships among systems, great uncertainty in cross-industry and multi-discipline, traditional systems engineering is gradually weak. In this paper, combined with the functional architecture design of civil aircraft brake system, model-based systems engineering (MBSE) is introduced. In this paper, the function of civil aircraft brake system is defined and analysed by this method, and the functional architecture model of civil aircraft brake system is built through repeated iterations, and the state switching logic among system functions is presented digitally to ensure the clarity, comprehensiveness and reliability of the functional architecture.
Shock Train Leading Edge Detection Method under the Condition of Steady Back Pressure and Fluctuating Back Pressure
Authors: Tian Mengyang , Zhao Meng , Liu Xinyi , Liu Zhiju , Yang Yaojia , Liu Xinyu , Xiong Bing 
Published: December 2022

Abstract
In this paper, the shock train in the isolator is taken as the research object, and the method of detecting the leading edge position of the shock train during self-excited oscillation and forced oscillation is studied by conducting the wind tunnel test. A steady-state throttling system and a fluctuating throttling system are designed to apply the required steady-state and fluctuating back pressure downstream of the isolator. Then, the four methods of pressure ratio method, pressure difference method, standard deviation method, and Fast Fourier Transform (FFT) analysis method are used to detect and study the position of the shock train leading edge under steady and fluctuating back pressure to verify their applicability. The results show that under the condition of steady-state back pressure, the four methods can get effective results, and the results are consistent. Under the condition of fluctuating back pressure, the pressure difference method could not give effective results, but the other three methods could give effective and consistent results. And the results of the standard deviation method and the Fast Fourier Transform analysis method are similar in image and principle.
Research and Verification on the Solution of Bleed Air Temperature Deviation of Civil Aircraft Pneumatic System
Authors: Peng Danqi 
Published: December 2022

Abstract
The pneumatic system of civil aircraft is equipped with a precooler (PCE) to cool the high-temperature bleed air from the engine to meet the design requirement of a downstream user system. The PCE is usually a fork-flow heat exchanger. This heat exchange structure will make the outlet temperature difference especially large, which shall lead to the deviation of the inlet air temperature of the downstream wing anti-icing system and air conditioning system and cause the temperature of bleed air supplied to the wing anti-ice system unstable. During a flight test of a certain large passenger aircraft, it was found that the bleed temperature at the PCE outlet was lower than the piccolo inlet temperature of the wing anti-ice system when the wing anti-ice system was operated with two engine bleed systems on. This paper creatively proposes design ideas for the three kinds of mixers and determines the solution of adding a mixer downstream of the PCE to solve the temperature deviation problem. The mixer is installed at the hot side outlet of the PCE and used to mix the temperature field at the PCE outlet so that the air supplied to the downstream customer systems meets the design temperature requirements. According to the simulation calculation and laboratory test verification results, the design scheme of a certain large passenger aircraft is selected, which has successfully solved the problem of temperature stratification at the outlet of the PCE and supported the follow-up flight test.
Research on Beam Waveguide Focus Phase Calibration Method of Deep-space TT&C System
Authors: Xu Xiaofei , Hu Hongjun , Fu Shuhong , Yan Yalong 
Published: December 2022

Abstract
The angle auto-tracking capability is needed in the deep space system, but in the sum-differential dual channels tracking model, the deep-space TT&C system must calibrate its phase before tracking a satellite. Because of the big aperture and high frequency of the deep-space TT&C system antenna, it is impossible to build a calibrating tower which satisfy the far-field condition, and the traditional phase calibration method relies on the tower is not suitable. The radio star calibration method selects a appropriate satellite as the calibrating signal source, but the signal of which is very weak and is affected easily. In this paper, the principle of phase calibration is analyzed, and the beam waveguide focus calibration method is studied, the processes of antenna tracking and angle error signal demodulation are given. The beam waveguide focus calibration method simulates the far field signal through controlling the position of horn antenna which is at the focus of the beam waveguide. The method can be realized easily in engineering, and the limit of the traditional calibration tower and the affections of the weather in using radio star calibration method are avoided.
GIS-based Ecological Risk Assessment on Land Use In Chongqing City, China
Authors: Wang Ziyue 
Published: December 2022

Abstract
Ecological risk assessment (ERA) is a process of predicting the possibility of harmful effects of environmental pollutants on an entire or part of the ecosystem, which is closely connected with the early human health risk assessment. A rational assessment of ecological risks in an urban area can provide great significance for urban landscape pattern optimization, urban ecological risk warning mechanism establishment, and urban ecological environment risk reduction. This study is based on GIS system to assess the ecological risk of land use in Chongqing in 2020, according to the basic theoretical framework and method system of ecological risk assessment. The main process is using remote sensing image data to construct the Ecological Risk Index (ERI) from the perspective of landscape patterns to reflect the potential impact of resource-based urban land use on the ecological environment. In addition, the ArcGIS spatial analysis method was used to evaluate Chongqing's ecological risk. As a result, high-risk area close to the water body just occupied a small part of Chongqing City (around 5%) and this area should be taken into protective measures urgently.
Research on the Application of Small Area 3D Modeling Based on Consumer UAV—Take DJI Yu-2 UAV as an Example
Authors: Teng Zhan , Liu Wanqing , Yi Yaowu 
Published: December 2022

Abstract
The use of UAVs for geographic information mapping is a relatively mature technology. It has the advantages of a large measurement range, fast data collection speed and high efficiency. It is gradually becoming an important technical means that can partially replace traditional field measurement. 3D modeling of UAV image data is an important aspect of UAV surveying and mapping applications. Under the current background of “real China” and “digital twin”, UAV modeling will have very broad application prospects. The current UAV modeling is mainly based on large fixed-wing UAVs or professional rotary-wing UAVs, but their prices are relatively high, so this paper tries to use a relatively low-priced consumer-grade UAV-DJI Yu 2, the professional version of the UAV performs image control-free 3D modeling without ground control points and analyzes the accuracy of the results to verify its applicability in geographic information data collection.
Analysis of Integrated Navigation Technology Based on GNSS/UWB
Authors: Tian Ye , Zhou Lejie , Ji Xu 
Published: December 2022

Abstract
Aiming at the problem that a single positioning system cannot meet the indoor and outdoor high-precision positioning, GNSS/UWB integrated navigation system is proposed. Firstly, this paper introduces the development and research status of the global satellite navigation system; Secondly, The UWB positioning technology in indoor positioning technology is introduced; Finally, the development and research status of GNSS/UWB integrated navigation are introduced. The advantages and disadvantages of the single outdoor or indoor positioning system in the indoor and outdoor integrated navigation system are compared and analyzed. The results show that a single outdoor or indoor positioning system cannot meet the indoor and outdoor high-precision positioning, an effective method of GNSS/UWB fusion positioning is to improve the positioning accuracy and robustness, which can enhance the real-time in time, continuity in space and reliability in accuracy.
Research on the Construction Method of Remote Sensing Sensing Information Platform Based on Internet of Things
Authors: Zhou Hong 
Published: December 2022

Abstract
With the gradual rise and development of Internet of Things technology, the development of related industries has shown new vigor and vitality. From the definition and application of the Internet of Things and remote sensing monitoring, the application fields of the combination of the Internet of Things and remote sensing monitoring are given a specific description. On the basis of analyzing the research status and technology at home and abroad, using VS. NET method to build a three-layer network platform to realize the construction of the information platform, and verify the application of the information platform is better.
The Identification of Key Nodes in Aviation Networks
Authors: Chen Bin , Wang Yingming 
Published: December 2022

Abstract
Identifying key nodes of aviation networks is a challenging and valuable issue, which depends on the measurement and ranking of node importance. Node importance can be measured statically according to certain network topology characteristic. The efficiency of this method is high. Node importance can also be measured dynamically according to certain network dynamic process. The result measured by this method is more accurate and reasonable. The current situation of this research is systematically described. The future trend of this research is revealed as well.