bluuebunny/crossref_metadata_2025_split huggingface dataset:
Positioning accuracy and formation analysis of multi-UAV passive positioning system
Authors: Zhu Jing , Song Binbin , Zhang Han , Wang Chengmin 
Published: April 2021

Abstract
In recent years, with the rapid development of Unmanned Aerial Vehicle (UAV) technology, the passive positioning technology of UAV has been further developed in military and civil fields. Especially in the field of maritime target search, the passive positioning system of multiple UAV has attracted more and more attention from coastal countries due to its features of low economic cost, long detection distance, fast response speed and high positioning accuracy. Taking four UAVs to perform maritime target search as an example, the paper establishes a passive positioning model based on Time Difference of Arrival (TDOA), deduces the Geometric Dilution of Precision (GDOP) formula of positioning accuracy, analyzes the positioning accuracy of multi-UAVs under different formation conditions, and provides a technical reference for improving the efficiency of maritime target search of multi-UAV passive positioning system.
Research on the Function of Visual Phonetic Software Praat in Vocational English Phonetics Teaching
Authors: Yang Wenge , Zhao Xue 
Published: April 2021

Abstract
Phonetics teaching is the most difficult part of English majors in higher vocational colleges. Many students are affected by their mother tongue pronunciation habits and the lack of systematic voice training at the middle school stage, resulting in weak phonetic foundations. There are problems such as inability to correctly distinguish between long and short vowels, voiced consonants, emphasized and light pronunciation, and intonation. To this end, the introduction of the visual speech software Praat, using its visual and intuitive image characteristics can assist teachers in class, help students find the pronunciation errors in time and correct them in time. Based on this, this article will combine the status quo of English phonetics teaching in higher vocational colleges and analyze the role of Praat phonetics learning software in phonetics teaching and its specific application implementation.
A Dual-Watermarking Scheme Robust to Affine Transformation
Authors: Liu Feng 
Published: April 2021

Abstract
This paper proposes a robust watermarking algorithm based on dual watermarking and robust affine transformation. First, the color image is divided into three channels, feature point extraction, watermark embedding, and location watermark extraction will be performed respectively. Feature points are used for image reconstruction when extracting watermarks. The watermark embedding needs to select a square area not at the edge of the image as the watermark embedding position, and then embed the watermark in the frequency domain of the corresponding area. According to the watermark embedding position, extract the zero watermark in another channel as the location watermark. Because the zero watermark does not modify the original image information, it has good robustness and can assist the attacked image to locate the watermark embedding position.
Research on APP Intelligent Promotion Decision Aiding System Based on Python Data Analysis and AARRR Model
Authors: Liao Juan , Ruan Yunfei 
Published: April 2021

Abstract
With the development of AI technology and the current situation of the epidemic, online shopping is increasingly popular all over the world. The mobile phone terminals also occupy a larger share, and the use of various APPs has also emerged rapidly in line with the trend of the times. How big data technology is used to analyze the effective data generated by APPs? The paper conducts research from the following three aspects: (1)Finding out customer’s behavior patterns from the analyzed e-commerce data, and analyzing the reasons for customer churn rate and providing effective marketing strategies for merchants; (2) according to the time dimension, from different time dimension of customer behavior rules, find out customer purchase rules for merchants; (3) from the point of view of commodities, finding out customers’ preferences for different commodities, and give different marketing schemes for commodities with different preferences. Through the three aspects of the study, we use Python for data analysis, combined with AARRR model and traditional expert system, the arctic finally sets up an intelligent decision aid system recommended by APP, the system provides different marketing schemes for merchants. The experiment shows that through data analysis and simulation of the use of an APP, in the experimental environment, the APP can better serve customers under the same conditions, and the transaction rate has increased by 7.3%.
A Performance Evaluation Method of Load Balancing Capability in SaaS Layer of Cloud Platform
Authors: Liu Hui , Niu Zhaocheng , Wu Tiancheng , Du Junzhao , Zhang Feng , Bi Haoyu 
Published: April 2021

Abstract
Cloud platform load balancing has become one of the essential elements in modern cloud platform operations. However, there are still some problems in the evaluation methods of cloud platform load balance, such as unreasonable evaluation indexes and lack of comprehensive evaluation methods. This paper first proposes a performance evaluation method of cloud platform load balancing capabilities. This method analyzes the characteristics of the cloud platform and the actual needs of users, designs and proposes a cloud platform load balancing capability evaluation system, quantitatively analyzes and quantifies specific indexes, and uses the Analytic Hierarchy Process to determine the weight of each index. Finally, we deploy and test our method on the OpenStack cloud platform. Experiments show that the evaluation results of the method proposed in this paper are consistent with the actual results, which verifies the feasibility and rationality of the method proposed in this paper.
Bitwise Division Searching Algorithm for VANETs
Authors: Ye Xin , Xu Gencheng , Zhiguang  
Published: April 2021

Abstract
Vehicular ad-hoc networks (VANETs) are the key technology supporting the intelligent transportation system (ITS), which is composed of vehicle nodes with wireless communication capability and roadside infrastructures. One of the obstacles is how to use batch verification to verify signatures simultaneously. To solve the problem of low verification efficiency in VANETs. This paper defines the problem and proposes an early-stopping factorial bitwise divisions (EFBD) algorithm. The proposed parallel-friendly algorithm achieves better performance in both theory and practice at low invalid signatures rate. Especially, in the parallel condition, the proposed algorithm costs only one aggregation-verification delay when the number of invalid signatures is 1.
Application of Computer Artificial Intelligence in Circuit Logic Simulation
Authors: Lin Shuju 
Published: April 2021

Abstract
With the development of artificial intelligence technology, all walks of life have begun to add artificial intelligence into the development plan of enterprises. Among them, artificial intelligence chips are extremely important, it is the key to realize artificial intelligence technology. This article explains the concept and development of integrated circuits and logic simulation, and it analyses the basis and application of artificial intelligence technology in circuits.
A bioactive magnesium phosphate cement incorporating chondroitin sulfate for bone regeneration
Authors: Shi Yubo , Yu Ling , Gong Changtian , Li Wei , Zhao Yingchun , Guo Weichun 
Published: April 2021

Abstract
Magnesium phosphate cement (MPC) has been evaluated as an inorganic bone filler due to its favorable biocompatibility, biodegradability, rapid setting, high initial strength, and osteogenic potential. However, the setting time of MPC is so rapid that it makes it difficult to use in practice, and the clinical properties of MPC could be further be improved by adding bioactive materials. Here we developed novel bioactive chondroitin sulfate (CS)-MPC composites (CS-MPCs) by incorporating different amounts of CS into MPC. The compositions, microstructures, and physiochemical properties of CS-MPCs and their induced in vitro cellular responses and in vivo bone regeneration properties were evaluated. CS-MPCs had a longer setting time, lower hydration temperature, higher compressive strength, and more neural pH than MPC. CS-MPCs demonstrated similar degradation ratios relative to MPC in Tris-HCl solution. CS-MPCs promoted pre-osteoblast cell proliferation, attachment, and differentiation in vitro and enhanced bone formation surrounding implants in vivo. In conclusion, through CS modification, our novel CS-MPCs have improved physiochemical properties that enhance compatibility in vitro and bone regeneration in vivo, making them attractive materials for bone regeneration.
Land cover change alters seasonal photosynthetic activity and transpiration of Amazon forest and Cerrado
Authors: Uribe Maria del Rosario , Dukes Jeffrey S 
Published: April 2021

Abstract
Tropical vegetation influences local, regional, and global climates, largely through its relationship with the atmosphere, including seasonal patterns of photosynthesis and transpiration. Removal and replacement of natural vegetation can alter both of these processes. In the Amazon, land use/land cover change (LULCC; e.g. deforestation) started decades ago and is expected to continue, with potentially strong effects on climate. However, long-term data on tropical photosynthetic activity and transpiration are scarce, limiting our ability to estimate large-scale effects of LULCC. Here, we use remote sensing data to analyze the impact of LULCC on seasonal patterns of photosynthetic activity and transpiration in the southern Amazon. This region, naturally dominated by forest and Cerrado, has seen high rates of LULCC. Within each of these two ecosystems, we compare estimates of photosynthetic activity (from GOME-2 and GOSIF solar induced fluorescence, SIF) and transpiration (from the Global Land Evaporation Amsterdam Model, GLEAM) in paired sites with high and low rates of LULCC. In forest-dominated regions, deforestation has reduced photosynthetic activity and transpiration, particularly during the dry season, and replaced dry season greening with dry season browning. The SIF datasets disagree on wet season responses; SIF increases with deforestation according to GOME-2, but decreases according to GOSIF. In Cerrado-dominated areas, LULCC has increased photosynthetic activity during the wet season. In both ecosystems, LULCC has resulted in a higher seasonal or annual range of photosynthetic activity levels. The observed effects are often stronger in regions with more extensive LULCC. We found large differences between the two SIF products in both forest- and Cerrado-dominated pixels, with GOME-2 consistently providing higher maximum SIF values. These discrepancies merit further consideration. This analysis broadly characterizes the effects of LULCC on photosynthetic activity and transpiration in this region, and can be used to validate model representations of these effects.
Kink–antikink interaction forces and bound states in a ϕ
4 model with quadratic and quartic dispersion
Authors: Tsolias G A , Decker Robert J , Demirkaya A , Alexander Tristram J , Kevrekidis P G 
Published: April 2021

Abstract
We consider the interaction of solitary waves in a model involving the well-known ϕ
4 Klein–Gordon theory, but now bearing both Laplacian and biharmonic terms with different prefactors. As a result of the competition of the respective linear operators, we obtain three distinct cases as we vary the model parameters. In the first the biharmonic effect dominates, yielding an oscillatory inter-wave interaction; in the third the harmonic effect prevails yielding exponential interactions, while we find an intriguing linearly modulated exponential effect in the critical second case, separating the above two regimes. For each case, we calculate the force between the kink and antikink when initially separated with sufficient distance. Being able to write the acceleration as a function of the separation distance, and its corresponding ordinary differential equation, we test the corresponding predictions, finding very good agreement, where appropriate, with the corresponding partial differential equation results. Where the two findings differ, we explain the source of disparities. Finally, we offer a first glimpse of the interplay of harmonic and biharmonic effects on the results of kink–antikink collisions and the corresponding single- and multi-bounce windows.
Analysis of the Innovative Potential of Russian Border Regions
Authors: Kupriyanov S V , Starikov K S , Mikalut S M 
Published: April 2021

Abstract
In the article the innovative potential of the region is interpreted on the basis of the resource approach. The authors generalized the approaches to its assessment and concluded that there is no universal method for measuring the innovative potential of the region, because the components of the innovative potential and the sets of indicators that determine them are not well-established. The assessment mechanism also varies. The objective of the article is to assess the innovative potential of the border regions of Russia, which together form a fairly high contribution to the economic indicators of the country’s development. At the same time, as the calculation showed, the border regions play a predominant role in the formation of an imbalance in regional development. Therefore, the assessment and improvement of the innovative potential of border regions plays an important role in leveling the country’s economic development. The authors proposed a methodology for assessing the innovative potential of the border region, in which, in contrast to the existing approaches, the contact potential of the region is highlighted. Contact potential allows taking into account the level of innovative development and urbanization of neighboring regions. As a result of approbation of the author’s methodology, five Russian border regions (which is 10 percent of their total number) have been identified with high innovation potential. Almost 60 percent of border regions have low innovation potential. The conclusions made in the article can be used to clarify and formulate strategic plans for regional development.
Development of the Employee Remuneration System in Housing and Communal Services Organizations in the Russian Federation: Case of the Homeowners Association “Sokolnicheskaya Slobodka”
Authors: Charnavalau A V , Baranov D N , Kuzmicki M 
Published: April 2021

Abstract
The article examines the modern employee remuneration system of organizations in the sphere of housing and communal services in the Russian Federation. By conducting an empirical study, it is shown that the existing system of remuneration has a number of shortcomings that negatively affect labor productivity and the quality of the provision of housing and communal services. To improve the remuneration system, according to the authors, flexible forms of remuneration have a high potential for implementation, which should motivate employees to increase the quality and timeliness of the provision of housing and communal services. It is important to integrate a flexible remuneration system based on the performance indicators of employees with digital technologies, which should provide transparency and fairness in the process of determining the level of remuneration and payroll.
Formation of Organizational and Economic Model of Cross-Industry Ecosystems
Authors: Bystrov A V , Radaikin A G , Fedoseev E V 
Published: April 2021

Abstract
The study focuses on the research of fundamental reasons underlying the emergence of digital platform providing the formation of the global view on the role of digital platforms for building of a new organizational structure - “high-tech industrial ecosystem”.
The purpose of the study is the validation of development a modern mechanism for the coordination of high-tech market entities within a single economic and organizational space – the ecosystem based upon the cross-industry digital platform.
This study, using general methods of scientific knowledge in various aspects, analyses the modern vector of the industrial growth explained by the implementation of ecosystems as new organizational and economic models. The principles for their formation, the probable structure, main differences from the traditional cluster and network models are reflected. It is proved that it is the ecosystem model that makes the ecosystem members achieve a positive synergetic effect during the implementation of their strategic growth targets in the conditions of digital transformation.
The article considers the application of tools of the industrial digital platform providing for the implementation of interaction between ecosystem members. Platform-based solutions have the big future from the viewpoint of the large data arrays analysis, reduced transaction losses and “perfect information” obtaining. As a result, the immediate course for introduction of cross-industry digital platform and ecosystem building is justified.
Digital cross-industry interaction within the platform will help to expand external communication and promotion channels, introduce digital business models and diversify production but it requires the provision of compatibility between the systems of industrial companies, functioning of a single digital platform and the cloud-based environment.
Globalization from the Standpoint of Economic Security of a Country and Its Regions: Some Aspects of Threat Systematization
Authors: Pesotskiy A A , Koscheyev V A , Taranov A I 
Published: April 2021

Abstract
The article deals with current issues related to the theory and practice of ensuring Russia’s economic security at the federal and regional levels from the point of view of risk assessment caused by globalization. The work aims to systematize threats to the country’s economic security from the perspective of the nature of relations between business entities and government authorities in the context of globalization processes. The author’s approach to characterizing the risks caused by both excessive and insufficient administrative impact on the activities of transnational and other large companies is presented, the negative consequences of both processes for the country as a whole and for its individual regions are considered. Special attention is paid to the anti-corruption component of ensuring economic security as a prerequisite for effective interaction between government departments and business groups.
Design, Test and FEM Analysis of Customized Titanium Alloy Implant with Scaffold Based on Additive Manufacturing
Authors: Wang Wen-Teng , Sheng Ruei-Nan , Jhuang Zih-Liang 
Published: April 2021

Abstract
In order to design the prosthesis which can mimic the surroundings for bone cell proliferation and cell attachment and avoid stress shielding effect by matching the Young’s modulus with different parts of human bone, we come up with the porous structure with scaffold design. This paper is presenting the scaffold of design, the mechanical property of the biomimetic scaffold and the relative error rate between the Finite element analysis (FEA) and compressive test. However, most of the models of the porous structure are designed in the STL format especially the high topological model which will make the FEM preprocessing procedure difficult. According to the reason above, we used the concept of the CT-based voxel mesh method for high complex STL model, which skips the time-consuming mesh and repairing reconstruction process. Lastly, we successfully designed the porous prosthesis according to the data from FEA and compressive test.
Electric Powered Wheelchair Trajectory Planning on Artificial Potential Field Method
Authors: Sollehudin I.M. , Heerwan P.M. , Ishak M.I , Zakaria M.A. 
Published: April 2021

Abstract
An addendum of People with Disabilities (PWDs) worldwide quite worries the World Health Organization in which they are consist of people that incapability of doing their own daily routine without the aid of a third party. The third party may consist of a person or a specific equipment or tools that could aid for their daily mobility. This paper tends to help PWDs with their daily routine by introducing a path planning method that recognize the trajectory of the route by using the Artificial Potential Field Method (APF) that will act as an algorithm in a control system of an Electric Powered Wheelchair (EPW). The EPW will be modelled into the MATLAB and Simulink according to the parameters such as inductance, resistance, and driving torque that is exactly as an actual model. Artificial Potential Field Method (APF) are consist of two main force field, Repulsive Force Field (RFF) and Attractive Force Field (AFF). The Repulsive Force Field (RFF) is designated as obstacle on a path whereas influencing the EPW to navigate away from the obstacle. While the Attractive Force Field (AFF) act as goal or the destination that designated for the EPW in which the EPW will be navigated in a way by approaching towards the AFF. The RFF consists of spacing headway that defines the distance from the obstacle to the EPW and while the limit distance is the maximum distance for the EPW to navigate away from the obstacle before the EPW collides with the obstacle. The strategy is to control the trajectory of the EPW during the obstacle avoidance with yaw angular velocity of the EPW. With spacing headway, limit distance and yaw angular velocity results, the trajectory of the EPW during the obstacle avoidance could be determined.
Review of PPG signal using Machine Learning Algorithms for Blood Pressure and Glucose Estimation
Authors: Gayathri Priyadarshini R , Kalimuthu M , Nikesh S , Bhuvaneshwari M 
Published: April 2021

Abstract
This paper presents an innovative technique for current non-invasive measurement of systolic(SBP) and diastolic (DBP) blood pressures and BGL (blood glucose level). Blood glucose and blood pressure are the most significant factors which marks the health issues, adequate measurement of these parameters are requires by a vast range of people. This paper focuses that the measurement of these parameters can effectively and accurately achieved through photoplethysmography(PPG) which is the one among the non-invasive methods. The analysis of the PPG signals are also made to the check of the accuracy of the device.This review paper focuses on understanding the BP-related features from PPG and explores the growth of this technology in terms of validation, sample size, diversity of topics, based on the datasets used over the period between 2010 - 2019. The data are preprocessed through the normal machine learning techniques and the algorithm of artificial intelligence and neural networks are applied into it. From this analysis, the accuracy of the data is also checked into. All these methods are used for the continuous monitoring and evaluation of the blood pressure and glucose level using PPG signals in a non-invasive ways.