bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of physical distancing on the speed–density relation in pedestrian dynamics
Authors: Echeverría-Huarte I , Garcimartín A , Parisi D R , Hidalgo R C , Martín-Gómez C , Zuriguel I
Published: April 2021

We report experimental results of the speed–density relation emerging in pedestrian dynamics when individuals keep a prescribed safety distance among them. To this end, we characterize the movement of a group of people roaming inside an enclosure varying different experimental parameters: (i) global density, (ii) prescribed walking speed, and (iii) suggested safety distance. Then, by means of the Voronoi diagram we are able to compute the local density associated to each pedestrian, which is afterward correlated with its corresponding velocity at each time. In this way, we discover a strong dependence of the speed–density relation on the experimental conditions, especially with the (prescribed) free speed. We also observe that when pedestrians walk slowly, the speed–density relation depends on the global macroscopic density of the system, and not only on the local one. Finally, we demonstrate that for the same experiment, each pedestrian follows a distinct behavior, thus giving rise to multiple speed–density curves.
On dissipative symplectic integration with applications to gradient-based optimization
Authors: França Guilherme , Jordan Michael I , Vidal René
Published: April 2021

Recently, continuous-time dynamical systems have proved useful in providing conceptual and quantitative insights into gradient-based optimization, widely used in modern machine learning and statistics. An important question that arises in this line of work is how to discretize the system in such a way that its stability and rates of convergence are preserved. In this paper we propose a geometric framework in which such discretizations can be realized systematically, enabling the derivation of ‘rate-matching’ algorithms without the need for a discrete convergence analysis. More specifically, we show that a generalization of symplectic integrators to non-conservative and in particular dissipative Hamiltonian systems is able to preserve rates of convergence up to a controlled error. Moreover, such methods preserve a shadow Hamiltonian despite the absence of a conservation law, extending key results of symplectic integrators to non-conservative cases. Our arguments rely on a combination of backward error analysis with fundamental results from symplectic geometry. We stress that although the original motivation for this work was the application to optimization, where dissipative systems play a natural role, they are fully general and not only provide a differential geometric framework for dissipative Hamiltonian systems but also substantially extend the theory of structure-preserving integration.
Nontrivial anomalous diffusions induced by the harmonic velocity Lévy noise
Authors: Li Feifei , Zhu Ping , Bao Jing-Dong , Chen Xiaosong , Liu Jian
Published: April 2021

Moving in the force-free potential and the tilted periodic potential, the diffusion of the under-damped particle subjected to correlated Lévy noise, i.e. the harmonic velocity Lévy noise, is investigated in this paper. We find that the underlying negative time correlation, especially the strong one, distinctly collides with the long-tailed nature of the noise, which results in a multi-diffusive process in the force-free potential. In the tilted periodic potential, strong correlation means that the transport of particle cannot be separated as the typical locked state and running state in coordinate space. Correspondingly, the anomalous diffusion in the tilted periodic potential does not hold anymore, which becomes a normal shape at asymptotic timescale.
Donepezil loaded PLGA Nanoparticles, from Modified Nano-Precipitation, an Advanced Drug Delivery System to treat Alzheimer Disease
Authors: Tripathi S K , Patel B , Shukla S , Pachouri C , Pathak S , Pandey A
Published: April 2021

In present works we synthesized Donepezil loaded PLGA nanoparticles (NPs). The approach of our research group was to prove the improvement of drug transport through the Blood Brain Barrier when donepezil was loaded with PLGA. It promoted the uptake of drug into brain endothelium compared with the free drug and play a significant role in the treatment of Alzheimer’s disease (AD). The NPs were synthesized by modified Nano precipitation method. These synthesized polymeric nanoparticles were characterized for particle size, Polydispersity index (PDI) and Zeta potential. The average size and PDI of drug loaded polymeric nanoparticle for preferred formulation were found to be 40.8 nm and 0.188 respectively. The Entrapment Efficiency was 74% and Process yield was 78%. The electron microscopic images of polymeric nanoparticles suggested that the particles were spherical in shape. The pharmacokinetics showed that the release behavior of NPs were very much similar to sustained release and follow Hixson Crowell model.
Temporal instability of Walter’s B viscoelastic fluid film
Authors: Dharamendra  , Awasthi Mukesh Kumar
Published: April 2021

The stability of an interface formed by Walter’ B viscoelastic liquid and viscous incompressible fluid is examined. These fluids lie in an annular region enclosed by two cylindrical shapes rigid boundaries. The surface tension effect is considered at the interface and therefore, the interface obeys capillary instability. The potential flow theory of viscoelastic-viscous fluids is utilized to compute the solution of modeled equations and the normal mode technique is enforced for the calculation of perturbation’s growth. A two-degree algebraic equation is established to obtain the stability/instability criterion. We found that the perturbations grow slower at the interface containing Walter’s B viscoelastic fluid than the corresponding Newtonian fluid.
Patterned hydrodynamic slip flow control and thermal transport in a wavy microchannel through porous medium with combined Electromagnetohydrodynamic effect
Authors: Rana Amalendu , Shit Gopal Chandra , Reza Motahar
Published: April 2021

A conceptual exploration is conducted to analyze the numerical experiment of the pattern hydrodynamic slip flow control and thermo-fluidic transport features coupled with the influence of the combined electromagnetohydrodynamic (EMHD) effect in a wavy microchannel through the porous medium. The constitutive equations for the velocity distribution and energy distribution are represented by a set of non-linear differential equations. These equations are solved numerically by employing a shooting technique based on the fourth-order Runge-Kutta method. The effect of Joule heating and temperature jump on the temperature distribution is also discussed in this study. The significant impacts of the electromagnetic force, the porosity of medium, Forchhemier inertia parameter, the impression of the wavy-walls amplitude, the effect of the wavenumber of the slip length on momentum, and thermal transport are discussed in this investigation. It is revealed that the velocity and the temperature both are augmented with the improvement of the amplitude of the wavy wall of the microchannel but the wave number of the slip length minimize the velocity as well as the temperature of the fluid.
M/M/1 Queueing Model with Working Vacation and Two Type of Server Breakdown
Authors: Agrawal Praveen Kumar , Jain Anamika , Jain Madhu
Published: April 2021

In this paper the steady state probability distribution of the number of customers in single server Markovian queue is obtained by using matrix geometric approach with working vacation where server may breakdown in working vacation state as well as in busy state. The arrival of the customer is depends upon the server’s state and arrival follows FCFS discipline. The server is made available for rendering alternate service to customers. The inter-arrival time of the customers, service time, vacation duration, and lifetime and repair time of the server follows an exponential distribution. Numerical illustrations are made to examine the validity of analytical results. Sensitivity analysis is also made of in order to discover the outcome of various parameters on the system performance physical appearance.
A theoretical estimate on the probability of the formation of a self-avoiding copolymer macromolecule
Authors: Mishra Pramod Kumar
Published: April 2021

An infinitely long copolymer chain has been chosen as a directed self avoiding walk on a cubic lattice to understand the thermodynamics of the formation of a semi-flexible copolymer chain; and this linear copolymer chain is made of four different types of the monomers. A method of the recursion relations is used to solve the proposed model analytically for the semi-flexible self-avoiding copolymer chain; and it has been shown that the probability of the formation of a self-avoiding semi-flexible copolymer chain is independent of the stiffness of the copolymer chain. The result so obtained is a distinct result from our earlier findings on the formation of the Gaussian semi-flexible copolymer chain and the Gaussian chain is made up of these four monomers, [P. K. Mishra, 2020 J. of Adv. Appl. Sci. Res. 2(4) 1-8]. The distinction in the thermodynamics of the self-avoiding copolymer chain from the Gaussian copolymer chain has been further confirmed on the basis of calculations on an average number of different types of the bonding in the copolymer chain.
First-principles investigations of electronic and magnetic properties of Fe2V1-xCrxSi Heusler alloys
Authors: Joshi P K , Kumar K , Arora G , Mali D , Jangid P K , Ahuja B L
Published: April 2021

Full-Heusler alloys with chemical formula X2YZ (X and Y being 3d and 4d transition metal elements and Z is p-block element) are interesting intermetallics because of their half metallic and spintronics applications. In this paper, the effect of doping of Cr atom at V-site of full-Heusler Fe2V1-xCrxSi (x=0, 0.5, 1.0) on their electronic and magnetic response is studied using full potential linearized augmented plane wave method. It is observed that Fe2VSi and Fe2V0.5Cr0.5Si does not show half-metallic character while Fe2CrSi alloy shows half-metallicity. We observe increase in total magnetic moment with increasing Cr concentration in Fe2V1-xCrxSi. Further, density of states and energy bands are discussed to interpret the half-metallic character in Fe2V1-xCrxSi.
Methanol sensing using Zn doped NiO nanoparticles
Authors: Shailja  , Singh Kanwarjit , Singh Ravi Chand , Sharma Sandeep
Published: April 2021

In the present study, we report gas sensing properties of Zinc doped nickel oxide nanoparticles. The Zn doped NiO samples were successfully synthesized by chemical co-precipitation method at room-temperature. Raman studies revealed the presence of defects such as nickel vacancies, which encourage the better sensing results. These defects are essential for providing active sites for adsorption of gaseous molecules and assists in improving the sensing parameters. Further, the sensor response of device has been found to be 7.2 when exposed to 100 ppm of methanol at 260 °C. Obtained Zn doped NiO sensor was found to be selective towards methanol as compared to other volatile compounds including, ethanol, acetone, ammonia and hydrogen.
Urtica Diocia Leaves Extract: A Natural Resource to Reduce Iron Salt to Synthesize Fe Nanoparticles
Authors: Kala Shubhra , Nigam Anju
Published: April 2021

This paper demonstrates synthesis of iron nanoparticles by using leaves extract of Urtica Dioica plant, a natural resource to reduce the iron salt. Moreover, leaves extract also acts as a stabilizing agent in protecting dispersed Fe nanoparticles. The absorption peak is observed in the range of 367-427 nm, indicating formation of Fe nanoparticles, however with partial oxidation. The Fe nanoparticles were obtained in powder form after centrifugation, thorough washing and drying processes. Fe nanoparticles were further analyzed by different analytical techniques like; XRD, SEM, TEM and XPS. The size range of the synthesized Fe nanoparticles was found to be dependent on leaves extract concentration which further influences structure and hence stability. Signature of oxidation also was revealed by XPS studies after long exposure to air ambient.
Study on Impact Properties of New Composite Metal Porous Materials Based on Data Analysis
Authors: Yang Xiran
Published: April 2021

The new composite metal porous materials are widely used in sophisticated structure based systems as for their great influence on properties. While, it is endowed with potential in its role of decreasing the weight of products, costs of material as well as recycling. The new composite metal porous materials with customized mechanical and impact properties have also attracted the attention of researchers in industrial structural applications. Hybrid technology is one of the important and effective methods to enhance the properties of composite metal materials. In this paper, the influencing functions of properties of composite porous metal materials are investigated in order to improve their structural characteristics, especially the research on the enhanced impact resistance of composite porous metal materials.
Relationship between the Line Structured Light Vision Calibration Accuracy and Hardware Parameters
Authors: Zhao Jinghe , Tan Qingchang , Jiang Bo , Hu Jing , Liu Siyuan
Published: April 2021

The line structured light vision has better robustness and higher measurement accuracy as an active vision measurement method, which is widely used in the measurement of component size and shape tolerance. The calibration is a key technology of vision measurement. The calibration accuracy is not only affected by the calibration algorithm, but the parameters of the hardware equipment also have an important impact on the final calibration accuracy. Based on the analysis of the calibration algorithm, this paper conducts a theoretical analysis on the selection of the main hardware parameters, and uses the orthogonal experiment method to determine the relationship between the equipment parameters and the calibration accuracy. In the experiments, the aperture has the greatest impact on the calibration accuracy among the main equipment parameters, and the calibration accuracy is the highest when the camera aperture is between F4-F8.
Estimation of the Price Range of Power Grid Technological Transformation Based on Walsh Average
Authors: Yang Fan , Zhu Xiaohu , Li Jianqing
Published: April 2021

With the continuous improvement of the construction of power grid projects, the pressure to transform power grid equipment is increasing. It is particularly important to perform reasonable data processing for the transformation costs of various types and voltage levels of power grid equipment. The data processing method based on Walsh average has an efficiency advantage in dealing with the non-normal parameter distribution. Based on the traditional statistical processing of power grid technical renovation price data, this paper combines the Walsh average comprehensive data processing method to obtain the final technical renovation price data for the overall range of various equipment. First, conduct a preliminary analysis of the sample, use the box plot to eliminate outliers, and then use the Walsh average model to obtain an estimate of the power grid technological transformation price range. In this paper, the real data is processed to verify the feasibility of the comprehensive data processing method and use this method to obtain a more appropriate confidence interval for the unit cost of each type of power grid equipment at each voltage level. The condition of the equipment is of great significance to guide the subsequent technological transformation projects and provide references for them.
High Performance Liquid Chromatography-Determination of Different Speciations of Arsenic in Cosmetics by Inductively Coupled Plasma Mass Spectrometry
Authors: Pang Yanhua , Liu Shuyan , Zhang Ning , Sun Yao , Xie Yan , Wang Nan
Published: April 2021

There is a way to determine four arsenic speciations simultaneously in cosmetic by using liquid chromatography (HPLC) with inductively coupled plasma mass spectrometer (ICP-MS). After being extracted by phosphoric acid solution, the samples were separated by PRP-X100 anion chromatographic column. The mobile phase was aqueous solution (pH=6.0) containing 1% methanol (V/V), 2.0 mmol/L NaH2PO4 and 0.2 mmol/L ethylene diamine tetraacetic acid (EDTA). The octopole reaction cell was adopted to eliminate mass spectrum interferences. The separation of AsIII､DMA､MMA and AsV was achieved within 12 min with flow rate of 1.00 mL/min and sample size of 100 μL. The recovery rates of AsIII, DMA, MMA and As Vranged from 80.6% to 107.2% and the relative standard deviations were less than 6.24% when the spiked amount was 0.10∼ 1.00 μg in different kinds of cosmetic samples. The developed method has the advantage of simplicity, sensitivity and good reproducibility, and can be used for the determination of arsenic speciations simultaneously in cosmetics.
Hyperspectral Anomaly Detection Based on Subspace Low-Rank Decomposition
Authors: Wang Shengming , Wang Tao
Published: April 2021

This paper mainly studies the anomaly detection algorithm on the basis of denoising and reconstruction of hyperspectral image, combined with some basic methods, such as subspace representation, tensor decomposition, spectral global and spatial non-local similar low-rank decomposition, norm constraint and so on. the mixed noise (Gaussian noise, impulse noise and dead line) of hyperspectral images which seriously affect the accuracy of anomaly detection are preprocessed. On this basis, the global RX algorithm is used to detect anomalies in the denoised hyperspectral image, and the simulation data are compared with the original real data. The experimental results show that the subspace low-rank decomposition anomaly detection algorithm is better than other existing algorithms in speed and accuracy, which shows the feasibility and superiority of this algorithm.
Facial Skin Monitoring System Based on Image Processing
Authors: Mu Honghui , Zhang Jiayan , Xu Ting
Published: April 2021

The face skin quality tester can give reasonable skin care recommendations for the replication situation, so it has a broad market prospect. The current domestic testers have shortcomings such as single detection function, low detection accuracy, complicated operation, expensive price and large volume. This paper studies the image processing algorithm for skin quality index detection, including oil and pigment detection based on HSV color space, pore detection based on dual threshold segmentation and morphological operations, and roughness index detection based on gray-level co-occurrence matrix. And based on the CBS-1800 detection system as the standard, the skin quality index detection algorithm in this paper has been effectively verified.
Applications in the Electric Power Industry based on Multi-Service Optical Transport Network
Authors: Yang Hongzhen , Mao Xiuwei , Zhao Yuhu , Chen Xiaozhou
Published: April 2021

Transmission technologies are crucial to the automatic electric power systems in the smart grids. The goal is the higher bandwidth and reliability, just as in power line communication, microwave transmission, and the latest optical fiber communication. Based on the time division multiplexing, the fiber communication develops from the plesiochronous digital hierarchy and the synchronous digital hierarchy to optical transport network. The system can transmit the signal securely through hard pipes. Based on the synchronous digital hierarchy, optical transport network and the packet transport technologies, the MS-OTN is expected to offer secure, reliable, and flexible transmission for future electric power services.
Application of Big Data Technology in Cost Management and Control in Construction Project
Authors: Chen Liang , Dai Heping
Published: April 2021

Currently, the competition of construction industry is increasingly fierce, the market is basically transparent, the traditional enterprise cost management model has been unable to adapt to the development of the construction market in the new era. In order to better control the cost and improve the benefit, construction enterprises must realize the technicalization, informationization and digitization in cost management. Cost management must be controlled by informationized and scientific management means.
English Hybrid Cooperative Learning Model Based on Genetic Algorithm
Authors: Guo Lin
Published: April 2021

With the further development of basic education curriculum reform and the rapid development of network technology, hybrid learning has been introduced into various disciplines of basic education, which has become a new development trend. Hybrid learning refers to the organic combination of traditional face-to-face classroom learning and online learning based on network to give full play to their unique advantages in order to promote emotional communication and close interaction between students and teachers. At the same time to meet the different requirements of independent learning and collaborative learning. In this paper,52.4% of the high groups are procedural knowledge,20.9% are declarative knowledge,13.7% are strategic knowledge, only 13% are useless knowledge.29.3% of the speeches belong to shallow interaction,46.6% belong to moderate interaction and 24.1% are deep interaction.
Teaching Reform of Broadcasting and Presenter under the Background of Artificial Intelligence
Authors: Qi Mengrui
Published: April 2021

With the continuous development of modern science and technology, artificial intelligence has entered an unprecedented period of rapid development. It is profoundly changing all social strata, and with further changes, artificial intelligence has developed rapidly. In recent years, artificial intelligence has been used in broadcasting and hosting field for many times, which has attracted the attention of domestic and foreign media. The anchor of artificial intelligence is still constantly updated and iterated, It is gradually replacing a lot of simple and highly repetitive work. The media industry and academic circles are worried whether the artificial intelligence anchor will replace the broadcasting and hosting profession? Based on this reason, under the background of artificial intelligence, this paper discusses the educational reform of broadcasting and hosting art in Colleges and universities. It is found that 54% of the students are willing to learn the second type of broadcasting and hosting subject, and act as their own, 10% of the students hold an attitude of unwillingness, and the remaining 36% are indifferent.
Selection of Cost Allocation Methods for Power Grid Enterprises Based on Entropy Weight Method
Authors: Sheng Jinma , Chen Tianyou , Jin Wen , Zhou Yue
Published: April 2021

With the liberalization of the electricity trading market, market participants pay more attention to the fair and reasonable distribution of relevant costs. However, the traditional transmission and distribution cost allocation methods based on fixed costs have serious cross-subsidies. In this context, a variety of methods for amortizing transmission and distribution costs from different angles have emerged, but these methods generally have some shortcomings, such as excessive calculations. To select the optimal cost allocation method objectively and rationally, this paper uses the entropy weight method to evaluate different cost allocation methods based on four indicators: comprehensibility, application difficulty, load change reflection ability, and transmission stability. Studies have shown that the hybrid transmission and distribution cost allocation method combining the stamp method and the peak liability method is more reasonable and effective.
Problems about Calculation in Calculating Table in the Tsinghua Bamboo Slips
Authors: Li Chong
Published: April 2021

At the end of 2013, Zhongxi Book Company published Bamboo Slips of the Warring States Period Reserved by Tsinghua University (4) [1]. In it, the content of Calculating Table is about mathematical calculations, including not only multiplication, but also division and square root. From the perspective of time, Calculating Table is not only earlier than the calculating table in Liye Bamboo Slips of Qin and others that have been discovered in China, but also earlier than the calculating tables of other countries. From the perspective of content, it integrates multiplication, division and square root, which is richer than any other calculating tables. Therefore, Calculating Table in The Tsinghua Bamboo Slips is an important discovery on calculation formulas, and it has a milestone significance in the history of mathematics.
Distributed Accounting and Blockchain Technology in Financial Accounting
Authors: Mai Xiaoyu
Published: April 2021

Blockchain management involves all aspects of blockchain, and its ultimate goal is to improve the efficiency of blockchain operations. This research mainly discusses the application of distributed bookkeeping and blockchain technology in financial accounting. Distributed systems require all nodes within the enterprise to upload inventory data to the system regularly. These data can be uploaded only after most nodes in the system confirm that they are correct. Invalid information is filtered to ensure that the data is true, accurate and reliable. By constructing a blockchain-based supply chain system, the integration and reconstruction capabilities of the supply chain can be improved. The information recording of internal data and external related multi-source data in the block can improve the learning ability of the supply chain. With the passage of time, the cost of holding has gradually decreased from 200,000 yuan before the simulation to 80,000 after the simulation. This research helps to encourage companies to form inventory holding quantities that adapt to their own conditions and reduce inventory holding costs.
Application of Virtual Reality Technology in Chinese Ancient Art Works
Authors: Wang Jing , Wang Xiaopeng
Published: April 2021

Virtual reality technology is produced under the background of the continuous development of computer and artificial intelligence technology, and the application field of virtual reality technology is more and more extensive. The application of virtual reality technology to the appreciation of ancient Chinese art works can not only make the appreciation of ancient Chinese art works more convenient and intuitive, but also stimulate the national pride of Chinese people, inherit the excellent culture of the ancient Chinese nation, and make the excellent art works go to the world. On the basis of summarizing the meaning and characteristics of virtual reality technology, this paper discusses several application technologies of virtual reality technology in the appreciation field of ancient art works.
Bearing Fault Diagnosis Based on BP Neural Network and Transfer Learning
Authors: Zhang Ningbo , Li Yawei , Yang Xingbo , Zhang Junhao
Published: April 2021

Rolling bearing is widely used in rotating machinery, which is one of the most prone to failure of industrial parts. In order to obtain the running state of rolling bearing timely and accurately, this paper uses Fourier transform to preprocess the data; based on the transfer component analysis to narrow the difference between the labeled data and the unlabeled data distribution, it is convenient to extract the feature information; BP neural network algorithm is used to build the network model, and then the data is tested, so as to realize the detection of bearing fault state And diagnosis. The experimental results show that the transfer learning based on principal component analysis can calibrate the features of unlabeled data well, and BP neural network can identify the fault types of rolling bearing well.
The Practical Application of Artificial Intelligence Technology with the Development of Internet
Authors: Rao Fan , Hu Xi , Zhu GuoHua
Published: April 2021

Artificial intelligence is closely related to people’s life and production. With the rapid development of science and technology, people tend to quest for higher requirements for material life. The Internet and related information technology industries provide possibilities for artificial intelligence and have stepped toward the field of intelligence. This paper analyzes the characteristics of network engineering and discusses the application and innovation of artificial intelligence technology.
Agent-based Intelligent Dispatching Model of Port Ships
Authors: Xu Zhichao
Published: April 2021

As the hub of my country’s import and export trade, the port’s throughput has also grown rapidly in recent years with the rapid development of my country’s economy. Ship operations are an important part of port operations. At present, most ship operations in ports are based on planning and dispatching. However, in the actual operation process, the port is often disturbed by some unexpected situations, such as ship berthing time delay, quay crane failure, etc., resulting in the failure of the original plan to be implemented normally, resulting in passive waiting of ships and idle berths. As a result, terminal resources are left unused, affecting the efficiency of port ships, causing waste of port resources, and affecting port throughput. This paper proposes to establish an Agent-based intelligent port ship dispatch model to solve this problem. This model includes three types of agents: Quayside Crane Agent, Ship Agent and Master Control Agent. Each agent perceives the external environment in real time through the perception module, and can communicate with other agents through the communication layer to deliver real-time information and realize intelligent dispatch. This model can effectively solve the problem of low terminal utilization due to disturbance, improve the port’s operating efficiency, and then increase the port’s throughput.
Prediction Research and Application of Financial Time Series Based on Big Data
Authors: Wang Rui
Published: April 2021

Financial risk is conductive in the market. In this paper, correlation function is used to model the relevant structure of the financial market. The j-B test statistic value of four stocks is far greater than the critical value of 6.7325, and the critical value of LJung-Box-Pierce test is 32.1342. At the same time, it is proved that the selection of edge distribution function is independent of the dependent structure, but the risk value estimated by semi-parametric POT model is higher than that estimated by kernel density function.
Application of RFID Information Technology in Fresh Food Cold Chain Logistics Management
Authors: Zhou Hui
Published: April 2021

RFID information technology has gradually become a new favorite in cold chain logistics management, and cold chain logistics belongs to temperature control logistics, so the application demand of RFID system with temperature sensor is more intense. At present, the construction of cold chain logistics in China can not meet the development needs, and the food quality and safety problems caused by uncontrollable logistics links are becoming increasingly serious. Combined with the characteristics of RFID technology, and in view of the pain points of China’s food cold chain logistics management, this paper will discuss the application of RFID technology in all aspects of food cold chain logistics.
Design of Tool Information Error Prevention Based on FIDIA
Authors: Zeng Yang , Li Xin , Gong Fei
Published: April 2021

It often takes place in the field of CNC machining that quality accident of parts due to the tool information entry incorrect. In this paper, an error check program based on FIDIA CNC system is designed. The tool information in FIDIA CNC system is read by AUCOL program and compared with the theoretical tool length value to judge whether the tool information is correct, so as to reduce the tool information error in CNC system caused by human error.
Application of Cloud Computing Assisted Instruction in English Teaching
Authors: Zhang Xiaoli
Published: April 2021

College English teachers focus on the training of students’ English listening and reading ability and English writing ability. They lack the awareness of training students to form critical thinking logic and cultivate students’ innovative ability. Therefore, it has a great impact on cultivating students’ autonomous learning habits and improving students’ learning ability. Listening and speaking, reading, translation and writing are the basic skills that students must master in the process of learning English courses. In the past, most of the students passively received the English knowledge content instilled by English teachers, which seriously restricted the development of students’ thinking logic, and the students’ subjective initiative in learning could not be fully exerted. Nowadays, the teaching concept of the new curriculum reform is now With the continuous deepening and implementation, modern science and technology and new education theory will be organically integrated in the field of education, so as to make the course teaching more efficient and students get better education. From the continuous updating and adjustment of teaching mode, modern science and technology has a great influence and promotion on the field of education.
Application of Virtual Reality Technology in Higher Vocational Smart Logistics Teaching
Authors: Wang Ke
Published: April 2021

Analyzed the problems existing in the teaching of smart logistics, through the introduction of VR technology, focused on the application of virtual reality technology in the teaching of smart logistics. Compared with the traditional teaching mode, it summarizes the advantages of virtual reality technology in logistics management teaching. Finally, it is concluded that the application of virtual reality technology in logistics management teaching has effectively improved students’ interest in learning and improved the teaching effect of the course.
Research on Innovation Path of Enterprise Dynamic Management Mode in Big Data Era
Authors: Wang Jingjuan , Xia Weili
Published: April 2021

Based on the traditional management theory, combined with the evolution and development trend of management theory, this paper constructs a management conceptual model by analyzing the elements of modern management, and puts forward that management is an activity that both insiders and outsiders participate in under the background of big data era. The modern enterprise management mode has gradually evolved from the traditional mode of top-down, inside-out to the diversified management mode of outside-in, bottom-up. This paper analyzes the characteristics and differences of the management modes of enterprises in different countries from the aspects of management objects, management decisions, management methods and organizational structures. Finally, the conceptual model of enterprise dynamic management mode is constructed, and the innovation path of dynamic management mode is discussed from three aspects: perception, action and transformation, and the characteristics, structure and basic functions of dynamic management conceptual model are summarized.
Analysis and Comparison of Forecasting Algorithms for Telecom Customer Churn
Authors: Jiao Gui’e , Xu Hong
Published: April 2021

The integrated algorithm is a highly flexible data analysis and prediction algorithm. In many big data competitions at home and abroad, the winning teams basically adopt the idea of integrated algorithms such as random forest, GBDT, XGBoost and other algorithms. This shows that accuracy of ensemble algorithms is still very advantageous in terms of predictive classification. The main task of this article is to predict the loss of telecom customers. Under the current situation of saturation of the telecom market, how to retain the original customers is the main task of each telecom operator. This article mainly compares the four prediction models on the telecom data set. Predictive performance, the final performance evaluation index also shows that the random forest model and XGBoost model of integrated thought have better predictive models.
Optimization of K-means Algorithm Base on MapReduce
Authors: Huang Xueyu , Cheng Shichao
Published: April 2021

In the context of big data, the K-means clustering algorithm is sensitive to the initial clustering center, the detection and removal of outliers are difficult, and the data is tilted. The KMEANS-BRMS (K-means algorithm based on range mean and sampling) algorithm based on range mean and sampling is proposed. First, for the initial data set, the “range mean value method”(Mean Range method, MRM) is proposed to obtain the initial cluster centers. In order to eliminate the influence of outliers, a range threshold is set above and below the range mean, and all points under this threshold constitute an initial center. The set of points to be selected, in which the maximum and minimum distance criteria are adopted to select the initial clustering center, which effectively avoids the problem of the sensitivity of the initial center point and the influence of outliers caused by the random selection of the initial clustering center. Next, the BSA(Based on pond sampling and first adaptation algorithm) strategy of adapting algorithm for the first time to deal with the data skew problem in the MapReduce stage, and improve the clustering efficiency. Finally, combined with the MapReduce framework model, the data cluster center is mining in parallel to generate the final clustering result. Experiments show that the clustering results of the KMEANS-BRMS algorithm are more stable and effective, and at the same time it can more effectively improve the efficiency of parallel computing in the big data environment.
German Translation Teaching Reform Based on Computer Aided Translation Software
Authors: Wang Fan
Published: April 2021

With the rapid development of the times, the role of computer in all aspects of society is becoming more and more obvious, and the translation industry has also been greatly affected. Now the traditional translation no longer meets the requirements of the society, the emergence of computer-supported translation software. Relying on the powerful computing and translation storage functions of computers, translation can be managed more effectively. As a new research field, computer-aided foreign language research has been widely concerned by scholars from all walks of life. Among them, due to its application value, computer-aided translation research has been paid more attention by scholars. Computer assisted translation is computer-assisted translation. The basic operation principle is to search the existing translation language reference room, compare the original text with the translation language group, and select the language materials most similar to the original text. In this paper, through the analysis and understanding of computer-aided translation and its software requirements, as well as the investigation of the current application status and future development forecast, and the understanding of the application defects of computer-aided translation, we can know the operability of computer-aided translation software in practical translation work.
Object Detection Algorithm Based on YOLOv3 Model to Detect Occluded Targets
Authors: Zhang Dawei
Published: April 2021

Target detection has experienced a rapid development stage from the concept to the practical application, the core technology has been broken through, many difficult problems have been solved, and it has been widely used in various fields. However, the existing target detection models still have some technical problems such as incomplete detection and low accuracy. Therefore, this paper proposes a target detection algorithm based on V3 model to detect occluded targets. This paper makes an in-depth investigation and Research on the existing target detection model, analyzes the shortcomings of the current traditional target detection model through the test results, and the advantages of the network detection model based on YOLOv3 in target detection. Aiming at the main problems existing in the current detection technology, this paper puts forward the optimization and improvement scheme. By reconstructing the whole framework of multi-target tracking algorithm, optimizing the feature fusion algorithm, and improving the NMS algorithm, the scheme greatly improves the accuracy of detecting the occluded objects. The simulation results show that the improved scheme can improve the accuracy by 12.3% compared with the traditional scheme. The analysis shows that the target detection model based on YOLOv3 network can effectively improve the detection accuracy of the model.
Research on the Construction and Evaluation of Green Industry System Based on Data Mining
Authors: Long Zhu
Published: April 2021

By establishing a regional green innovation system, realizing the integrated development of industries across administrative divisions, and developing emerging industries, continuation industries, and resource reuse industries are effective ways to realize the transformation of economic development mode. In the process of shifting from the industrial economy of the industrial society to the industrial economy of the information society, green industry informatization is an inevitable requirement for realizing industrial restructuring and industrial upgrading, improving the core competitiveness of green enterprises, and a necessary condition for realizing regional national economic informatization. Data mining technology can discover and extract hidden, novel, meaningful and understandable information and patterns from a large amount of data, and realize the transformation from simple data to information to knowledge. According to the general requirements of data mining technology and the characteristics of the green industry field, this research constructed a system framework for green industry data mining, discussed key issues such as data preparation and data selection in data mining of green industry. Meanwhile, using data mining software SAS and Malmquist index as implementation tools, the basic theories and methods of green industry data mining were applied to the innovation evaluation of my country’s green industry. The results showed that data mining technology had its unique advantages in dealing with the massive data of the green industry. It can not only quickly realize the diversified statistical analysis of the massive data in the green industry, but also display it to users with rich graphics, which is conducive to the interpretation and understanding of the analysis results.
Numerical Study on the Influence of Exhaust Structure on the Performance of a High Expansion Ratio Turbine
Authors: Guo Zhaoyuan , Bai Chao , Han Yongjun , Zheng Qun
Published: April 2021

A numerical simulation study on the influence of downstream pipe on turbine performance and flow is carried out for a high expansion ratio steam turbine. The abrupt change of the flow channel leads to severe reverse flow and increased back pressure, thus reduce the steam turbine power. The loss in the cylindrical cavity is up to 82% of the total loss downstream the steam turbine. By using a branch pipe to exhaust the steam of the passages downstream the intake area, the blast loss and mixing loss are significantly reduced for the non-intake passage, resulting a total reduction of 30.3%, and the power is increased by 5.3%. It provides a reference for the subsequent optimization design of flow channel.
CMS RPC background — studies and measurements
Authors: Hadjiiska R. , Samalan A. , Tytgat M. , Zaganidis N. , Alves G.A. , Marujo F. , Torres Da Silva De Araujo F. , Da Costa E.M. , De Jesus Damiao D. , Nogima H. , Santoro A. , Fonseca De Souza S. , Aleksandrov A. , Iaydjiev P. , Rodozov M. , Shopova M. , Sultanov G. , Bonchev M. , Dimitrov A. , Litov L. , Pavlov B. , Petkov P. , Petrov A. , Qian S.J. , Bernal C. , Cabrera A. , Fraga J. , Sarkar A. , Elsayed S. , Assran Y. , El Sawy M. , Mahmoud M.A. , Mohammed Y. , Combaret C. , Gouzevitch M. , Grenier G. , Laktineh I. , Mirabito L. , Shchablo K. , Bagaturia I. , Lomidze D. , Lomidze I. , Bhatnagar V. , Gupta R. , Kumari P. , Singh J. , Amoozegar V. , Boghrati B. , Ebraimi M. , Ghasemi R. , Mohammadi Najafabadi M. , Zareian E. , Abbrescia M. , Aly R. , Elmetenawee W. , De Filippis N. , Gelmi A. , Iaselli G. , Leszki S. , Loddo F. , Margjeka I. , Pugliese G. , Ramos D. , Caponero M. , Benussi L. , Bianco S. , Colafranceschi S. , Russo A. , Passamonti L. , Piccolo D. , Pierluigi D. , Saviano G. , Buontempo S. , Di Crescenzo A. , Fienga F. , De Lellis G. , Lista L. , Meola S. , Paolucci P. , Braghieri A. , Salvini P. , Montagna P. , Riccardi C. , Vitulo P. , Francois B. , Kim T.J. , Park J. , Choi S.Y. , Hong B. , Lee K.S. , Goh J. , Lee H. , Eysermans J. , Uribe Estrada C. , Pedraza I. , Castilla-Valdez H. , Sanchez-Hernandez A. , Mondragon Herrera C.A. , Perez Navarro D.A. , Ayala Sanchez G.A. , Carrillo S. , Vazquez E. , Radi A. , Ahmad A. , Asghar I. , Hoorani H. , Muhammad S. , Shah M.A. , Crotty I.
Published: April 2021

The expected radiation background in the CMS RPC system has been studied using the MC prediction with the CMS FLUKA simulation of the detector and the cavern. The MC geometry used in the analysis describes very accurately the present RPC system but still does not include the complete description of the RPC upgrade region with pseudorapidity 1.9 < |η| < 2.4. Present results will be updated with the final geometry description, once it is available. The radiation background has been studied in terms of expected particle rates, absorbed dose and fluence. Two High Luminosity LHC (HL-LHC) scenarios have been investigated — after collecting 3000 and 4000 fb-1. Estimations with safety factor of 3 have been considered, as well.
Comparative study on using of SNI 1726-2012 and SNI 1726-2019 for calculating of internal force magnitude of lecture building in D.I. Yogyakarta Province
Authors: Windarta M A T , Jaya D J , Widodo S
Published: April 2021

The application of SNI 1726-2019 as a new standard has added and changed the scope of the procedure for calculating earthquakes to become wider so that it can keep up with the times. Earthquake loads can be analyzed statically or dynamically. Dynamic analysis using the response spectrum method. This study aims to compare the results of the calculation using the response spectrum based on SNI 1726-2012 and SNI 1726-2019 so that it can be seen whether buildings using the old rules are still safe or not. The building structure is modeled as an ordinary building and functions as a lecture building in the Province of D.I Yogyakarta with a total of 4 floors and a building height of 24.054 m. The results of the research prove that the forces acting on the building with modeling use the response spectrum of SNI 1726-2012 and SNI 1726-2019, the building structure scheme using the old standard is given a small safe limit, if a review is carried out using the new standard the structure of the building is required to be rehabilitated in preventing building construction failures. However, if a large safety limit is given in the planning using the old standard, if a review is carried out based on the new standard, it is possible that the building structure does not need to be rehabilitated if it meets the safety limit of the new standard.