bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simulation analysis on motion stability of smart wheelchair
Authors: An Yi , Han Tianqi , Zhao Hongyu , Qiu Sen 
Published: April 2021

Abstract
Electric wheelchairs sometimes are used in complex terrain, such as slopes, stairs, ravines, etc. If there is no rapid and accurate judgment and decision-making for the current situation, the wheelchair may lose control and become unstable, which may will lead to serious consequences. The intelligent electric wheelchair studied in this paper can conduct stability analysis when moving on different terrains based on its own motion state. This paper uses ADAMS simulation software to build a wheelchair model according to the size of an existing wheelchair. The stability pyramid technique used in this paper has a good judgment on the tip-over stability of the object. This paper also has a more comprehensive judgment for slippage instability. In the simulation and experiment, the slippage and tip-over instability are verified. Theoretical analysis and actual simulation demonstrated that the developed smart wheelchair has high reliability for stability analysis in different environments.
Design and Application of Early Warning Model for Electric Vehicle Charging Safety
Authors: Zhang Yang , Yuan Jun , Li Liang , Zhan Yanjiao 
Published: April 2021

Abstract
In order to improve the charging safety of electric vehicles, it is necessary to design the early warning model of charging safety, so as to overcome the overload defects in the charging process of electric vehicles. An electric vehicle charging safety warning model was proposed based on contactless charging design. The electromagnetic induction coil and electromagnetic coupler installed on the charging pile are used to design the electromagnetic coupling induction with the driving electric vehicle tire wire, and the electromagnetic coupling control and charging stability adjustment of the electric vehicle are carried out by using the inductive power transmission technology. According to the overload regulation of electric vehicle during charging, the overload interruption control of electric vehicle charging is carried out by mutual inductance coupling method, and the parameters such as resonance frequency, mutual inductance coefficient and coil internal resistance during charging are analyzed. The parameter steady-state regulation method is used for non-contact charging, and the electric vehicle charging safety early warning control is realized, and the parameter optimization design of electric power transmission system in the process of electric vehicle charging is carried out. According to the parameter optimization result, the electric vehicle charging safety early warning test is realized. The test results show that the proposed method has good control performance and can effectively realize the wireless energy transmission of 100W in 100cm, the charging efficiency and the charging safety are improved.
A concatenated approach based on transfer learning and PCA for classifying bees and wasps
Authors: Zhang Jiahong , Guo Hongxiang , Chen Zekai 
Published: April 2021

Abstract
Convolutional neural networks (CNNs) are a type of deep model that can accomplish image classification tasks resulting in outstanding performances. From recognizing handwritten numbers to tachyarrhythmia, researchers and engineers have used CNNs for classification tasks in various domains. However, there lacks a comparison and analysis of the performances of different models in classifying insects. Previous methods are currently limited to using only one particular type of network in finishing one specific task. This approach fails to use the strengths of different models. In this paper, a concatenated model is developed, which is able to take advantage of the strengths of multiple CNNs. The performances of VGG, ResNet, XceptionNet, and EfficienNet in classifying bees and wasps are firstly compared. Then, outputs of the penultimate layers in the four networks are merged, which is similar to encoding. In addition, we use principal component analysis (PCA) to decrease computation cost and increase explanatory. Finally, to achieve the final classification, a deep neural network (DNN), which takes the concatenated outputs and four labels separately as input data and output, is structured. In comparison to the traditional classification methods, the proposed model achieves high-level performance and better explanation. Furthermore, it is worth remarking that this paper discovers the encoding characteristics of VGG, ResNet, XceptionNet, and EfficientNet.
The upgrade of applied talents cultivation in the background of AI
Authors: Liu Wenhua 
Published: April 2021

Abstract
In the AI age, a series of high technology, like AI technology and information technology, trigger deep reform in industry field. To meet the talents requirements of AI, colleges should promote the mission of talents cultivation. A few forward steps should carry on. They are pedagogy remodeling replacement of teaching technology, arrangement of education resources and extension of learning space.
Yolo-tiny-MSC: A tiny neural network for object detection
Authors: Li Dongsheng , Zhang Yujie , Xiang Junping , Li Jianfei , Zou Yu 
Published: April 2021

Abstract
Object detection is an important and active area of computer vision. However, the expensive computational cost and memory requirement are big challenges for deploying object detection networks in resource constraints embedded devices. To address this problem, we designed the multi-stage cascade module to reduce the computational cost of object detection networks. The proposed structure is used to build a compact and efficient object detection neural network. Experiments show that our multi-stage cascade module could significantly reduce the computational and parameter budgets meanwhile achieve outstanding object detection accuracy.
Study on Influencing Factors of Major Incidents in Petrochemical Parks Based on Bayesian Networks
Authors: Hu Haoran , Shao Bowen , Guo Jian , Hong Bingyuan 
Published: April 2021

Abstract
With the rapid development of the petrochemical industry, the scale of the petrochemical park is gradually expanding. Safety incidents that occur from time to time and their serious consequences cannot be ignored. Based on the systematic summary of chemical incidents in the last 15 years, the main types of incidents are explosion, poisoning and suffocation, and fire. Thus, it is necessary to prevent major incidents from critical events. The incident tree model of major and extraordinarily large explosion incident in petrochemical park is constructed, and it is mapped to a Bayesian network for incident cause analysis and influence analysis. Consequently, it is concluded that illegal command and illegal operations are the main factors leading to the incident. The method of adding a protective layer is proposed to improve its overall safety. It can provide theoretical and technical support for accident risk identification, evaluation, and control in petrochemical park in the future.
Research on Multi-party Cooperative Secure Identity Authentication Mechanism Based on Blockchain
Authors: Liu Nianzu , Guo Bing 
Published: April 2021

Abstract
With the continuous development of information society, block chain technology can play an extremely important role in many fields. However, with the increasing degree of communication in the information society, a huge amount of data is generated. How to protect the information data generated in the process of communication has become a more serious problem at present. In its earliest stages, blockchain technology was used only for cryptocurrency transactions. Under the general directory, there are a lot of sub-accounts, and these sub-accounts are all valuable accounts, and the data is stored in different blocks in different chains. Judging from the current application of blockchain technology, the application of this technology can guarantee the security of data storage. Data storage is extremely secure in terms of security, so there will be no individual or group to destroy or tamper with the data. In blockchain technology, all data is stored in a Mosaic form in many blocks, which means that a single block does not have the function of storing information data. When making a large transaction, due to the uniqueness of blockchain technology, each member of the chain needs to authorize the data, which means all members of the chain must agree to the transaction before the transaction can be completed. Starting from the application of block chain technology, this paper analyzes the most common identity authentication mechanism in our daily life, and analyzes the application of block chain technology in daily life from multiple aspects.
Urine red blood cell classification based on Siamese Network
Authors: Zhao Xue , Xiang Jianhong , Ji Qingbo 
Published: April 2021

Abstract
Urine examination is an important examination commonly used in medical in vitro examination. The morphological classification of red blood cells in urine plays an important role in the diagnosis of hematuria and renal diseases. In order to improve the accuracy and efficiency of urine red blood cell classification, a urinary red blood cell classification algorithm based on Siamese Network of dual-mode contrastive loss function was proposed. In the dual-mode contrastive loss function, the Cosine Similarity measure and a weight factor were added as the constraint of Euclidean distance in the Contrastive Loss function, which improves the similarity judgment ability of the Contrastive Loss function for the two input eigenvectors. The experimental results show that the Cosine Similarity measure has a positive effect on the Contrastive Loss function, and can effectively improve the accuracy of the whole classification model.
Knotting spectrum of polygonal knots in extreme confinement
Authors: Ernst Claus , Rawdon Eric J , Ziegler Uta 
Published: April 2021

Abstract
Random knot models are often used to measure the types of entanglements one would expect to observe in an unbiased system with some given physical property or set of properties. In nature, macromolecular chains often exist in extreme confinement. Current techniques for sampling random polygons in confinement are limited. In this paper, we gain insight into the knotting behavior of random polygons in extreme confinement by studying random polygons restricted to cylinders, where each edge connects the top and bottom disks of the cylinder. The knot spectrum generated by this model is compared to the knot spectrum of rooted equilateral random polygons in spherical confinement. Due to the rooting, such polygons require a radius of confinement R ⩾ 1. We present numerical evidence that the polygons generated by this simple cylindrical model generate knot probabilities that are equivalent to spherical confinement at a radius of R ≈ 0.62. We then show how knot complexity and the relative probability of different classes of knot types change as the length of the polygon increases in the cylindrical polygons.
Mechanical Properties Effect of Wood-plastic Composite by Basalt Fiber and MAPE
Authors: Wang Yong 
Published: April 2021

Abstract
In order to protect biological resources, this article explores the use of tensile and bending tests and Thermogravimetry (TG), thermal differential scanning (DSC) and other experimental studies. The compatibilizer maleic anhydride grafted high-density polyethylene (MAPE) improves the mechanical properties of chopped basalt fiber (SBF, 20% by mass) and reinforces wood-plastic composites (WPC). The results show that: 1) WPC with a length of 6mmSBF, when the MAPE content is 5∼6%, its tensile breaking strength and bending strength achieve the best results, of which the breaking strength is increased by about 90% compared with pure wood plastic; (2) Since the tensile and bending strength of MAPE itself is roughly similar to HDPE, when the content of MAPE is greater than 9%, it acts as a matrix HDPE. In addition to the plasticity continues to be improved, its strength index is gradually decreasing. 3) When the MAPE content is 6%, the TG curve has the slowest thermal weight loss and the DSC has the highest melting peak temperature, which means that the composite material is difficult to melt, and the bonding between the components in the material is firm, thereby having better mechanics. The performance also confirmed the results of mechanical testing.
Numerical Simulation of Catenary Effect of (RC) Frame Structure Based on MSC.Marc
Authors: Yang Jiahao , Zhao Jizhi 
Published: April 2021

Abstract
Since the collapse of Ronan point apartment in 1960s, progressive collapse has become a research hotspot in civil engineering. In order to study and verify the catenary effect on the resistance of the reinforced concrete frame structure to the progressive collapse. Based on MSC.Marc software, a single-story plane frame structure of reinforced concrete frame structure was selected to establish a finite element model for numerical simulation, and the numerical simulation results was compared with the experimental data.
Assessment of typhoon prevention level at fishing port
Authors: Kong Congying , Lu Yingxue , Han Tao 
Published: April 2021

Abstract
Due to the need of typhoon grade evaluation in the construction plan of fishing port, the wave height distribution in the fishing port of typhoon 10 and typhoon 12 under adverse path was calculated, and the berthing area of the fishing port was counted. According to the theoretical formula, the wind force and anchor-holding force of the fishing boat are calculated, and the anti-typhoon grade of the anchorage is analyzed, which provides technical support for the construction of the port area.
Analysis of the elements of the LNG terminal’s location in Dalian Port under the background of carbon neutrality in China
Authors: Yao Haiyuan , Wang Dachuan , Wu Hongyu , Fang Zhuo , Ding Wentao 
Published: April 2021

AbstractAs the issue of climate change is always attracting widespread attention and China had fulfilled its commitment on emission reduction, the proportion of traditional energy consumption such as coal in China’s energy consumption structure will gradually decrease in the future, and the use of clean energy such as LNG will become the latest trend to replace the use of traditional resources, and the future increment of LNG would be mainly borne by sea transportation. Dalian City has a single source of natural gas by sea, which is highly dependent on offshore imports. In addition, it is predicted that the LNG throughput of Dalian Port will reach 8-12 billion m3by 2050, so it urgently needs to build new LNG terminals to ensure the safety of natural gas supply. This paper statistically analyzed not only the operation status and construction progress of LNG terminals in northern China, but also the characteristics of natural gas consumption in the three North-Eastern Provinces of China and Dalian City. Based on the above situation, the principle and preliminary scheme of LNG terminal site selection were proposed.
Change detection of built-up areas based on ensemble learning
Authors: Chen Lei , Li Yingcheng , Geng Zhongyuan , Li Xilin , Xue Yanli , Wang Guangliang , Wang Yanhui 
Published: April 2021

Abstract
The paper presents a new method for the change detection of built-up areas based on ensemble learning. The method selects the feature generation part of VGG network to replace the encoder of UNet network, and makes full use of the advantages of VGG network in feature interpretation to construct a new network VGG-UNet, so as to improve the information extraction accuracy of built-up areas. First, the slice sample sets containing built-up areas and non-built-up areas were established. Secondly, the model was trained and tested to obtain several optimal models with high precision. Thirdly, these optimal models were used to extract the change information of built-up areas in the experimental area. Finally, the results were ensemble optimized and the accuracy was verified by comparing with the field measurements. The experimental results in Xinjiang demonstrate the advantages, feasibility and reliability of the proposed method. Moreover, the ensemble optimization of multiple model results can further improve the change detection accuracy of built-up areas.
CBS-GAN: A Band Selection Based Generative Adversarial Net for Hyperspectral Sample Generation
Authors: Qiao Yulin , Mohammad Mostofa Zaman , Li Yi , Liu Xiaobo , Cai Zhihua 
Published: April 2021

Abstract
Sample generation is an effective method to improve the performance of hyperspectral image classification by generating virtual samples for training sample expansion in the training process of classification. However, there are some defects existing in the previous sample generation methods including the lack of spatial information, the redundant generation and the damage of the original spectral components. In this paper, we propose conditional band selection generative adversarial net, named CBS-GAN, to handle this problem. Firstly, the band selection net of CBS-GAN is utilized to avoid redundant bands and keep original spectral information, then the generation net of CBS-GAN generates the spatial-spectral data blocks by selected bands for sample generation. The experiments of classification are also used to demonstrate the availability of virtual samples generated by our method.
Propagation characteristics of low-frequency acoustic wave in full waveguide of shallow water based on time-domain finite element method
Authors: Wang Qile , Zhu Hanhao , Tang Yunfeng , Xiao Rui , Xue Yangyang 
Published: April 2021

Abstract
In order to clarify the propagation mechanism and characteristics of low-frequency sound signals in shallow sea with elastic bottom, using the Time-domain Finite Element Method (TDFEM), a time-domain numerical calculation model of the low-frequency sound field in shallow sea full-waveguide under the action of a point sound source is established. With this model, The influence of seabed acoustic parameters’ and seabed topography’ changes on the sound propagation characteristics in full-waveguide is simulated and analyzed. The results show that when there is a shear wave effect on the seabed, low-frequency sound waves will excite the Scholte wave propagating on the bottom boundary of the seabed. The greater the seabed acoustic impedance, the faster the excited Scholte wave velocity and the large the amplitude. At the same time, there will be acoustic energy leakage phenomenon in the inclined seabed.
Green architecture approach in waste management building design concept
Authors: Fachrudin H T , Zafira Khairuz 
Published: April 2021

Abstract
Medan City has 2 landfill sites, Namo Bintang and Terjun. However, Namo Bintang Landfill was closed in 2013 by the Medan City Government. Namo Bintang Landfill is planned to be reopened to receive Medan City waste. The waste management will focus on the solid waste in the Namo Bintang Landfill that applies the Green Architecture which is focused on the Principles of Energy Efficiency and Conservation. The design method starts from a direct site survey, then data collection by observation, documentation, literature review, and comparative studies of similar projects that will be analyzed to produce a concept of design of waste to energy management area at the Namo Bintang Landfill. Combustion of waste into alternative electrical energy that can meet the electricity needs of the community. The process of waste to energy starts by burning waste at very high temperatures, then transfer the heat, and by used turbin, transformed it into the energy. The steam which drives the turbines - creates surplus heat which can be used for district cooling and heating, electricity, also recovered clean water, construction material, and valuable metals from the waste. This is the approachable solution in the field of energy, ecology, and sustainable environment.
Study of slum settlement infrastructure in Pulonas Village, Babussalam Sub-district, South East Aceh Regency
Authors: Ariarma Nazmy , Marpaung B O Y , Nirfalini Aulia Dwira 
Published: April 2021

Abstract
In 2015 the population of Babussalam District was 2,758 people per km2 with an area of 9.42 km2 or a density of up to 293 inhabitants per km2. With this population density, Babussalam District can be classified into areas with high density. Babussalam Subdistrict which consists of 27 villages. Pulonas Village which is indicated as slums and are predicted to continue to deteriorate. The condition of settlement infrastructure in Pulonas Village are very poor, such as narrow and damaged roads with infeasible clean water and infeasible waste collection. High building density with limited area and the number of occupants in a dense building is a big problem that occurs in Pulonas Village today. The research method used in this study is a Qualitative Descriptive Methodology, in which researchers interpret the data obtained through direct observation in the field. The data are interpreted and the method of data collection is based on theoretical basis. The results of the study were recommendations and directions for the management of slums in Pulonas Village Babussalam Sub-district, Southeast Aceh Regency, beneficial for local government and stakeholders in determining the direction of local government policy.
Unconfined compressive strength and California Bearing Ratio test on clay stabilization using silica sand
Authors: Hastuty Ika Puji , Hartawan Agung 
Published: April 2021

Abstract
Clay is a soil with certain particles which has plastic properties when it is mixed with water, so that clay needs to be stabilized before it is ready to be used. In this study, the stabilizing agent used was silica sand, which is a mineral commonly found and has a hexagonal crystal structure (SiO2). The purpose of this study was to determine the effect of adding silica sand to the properties index, Unconfined Compressive Strength (UCT), and California Bearing Ratio (CBR) value of clay soil. The result showed that according to AASHTO this soil was classified as A-7-6 (9) and according to USCS it was classified as CL (Clay - Low Plasticity). The original soil sample has a moisture content of 34.43%; specific weight of 2.65%; liquid limit of 47.33%; plastic limit of 17.45%; and plasticity index of 29.88%. The values of unsoaked design CBR and UCT for the original soil were 6.29% and 1.42 kg/cm2. Among all the variations, the mixture of 30% silica sand reached the optimum value of soaked California Bearing Ratio which is 14.86%, meanwhile, the mixture of 12% silica sand reached the optimum value of free compressive strength in Unconfined Compression Test which was 2.90 kg/cm2.
Classification and effect of compaction on soil shear strength by direct shear test on peat soil of Tapanuli Utara Regency, North Sumatera Province
Authors: Roesyanto  , Tarigan T 
Published: April 2021

Abstract
Planning for development on peat soil requires an understanding of the behavior of peat soil because of the large potential damage that can occur to buildings on peat. The points of this study were to determine the index properties, to classify the peat soil classifications, and to determine the effect of compaction on internal friction angles and cohesion values. The water content of Pohan Tonga peat soil was 729.33% and the specific gravity was 1.302. Based on ASTM D442-84, the sample of peat soil was classified as medium ash peat because it had ash content of 8.260%, and was classified as moderately acidic because of its pH value of 5.5. From Standard Proctor test, the optimum moisture content obtained was 98% and maximum dry unit weight was 0.419 gr/cm3. The effect of compaction increased the dry unit weight value of the undisturbed sample from 0.126 g/cm3 to 0.454 gr/cm3 of 108% sample. The highest value of internal friction angle in peat was obtained from 108% sample, namely 5.391° with a cohesion of 0.024 MPa compared to undisturbed sample which had internal friction angle of 0.375° with a cohesion of 0.019 MPa.