bluuebunny/crossref_metadata_2025 huggingface dataset:
Early fault diagnosis of rolling bearings based on signal reconstruction through SDD-SVD and FWEO
Authors: Zou Tiangang , Zhang Jinbao , Sun Yadong , Zheng Zhenqiong , Guo Yutong
Published: April 2021

An approach based on the singular spectrum decomposition (SSD)-singular value decomposition (SVD) and frequency weight energy operator (FWEO) was proposed for early fault diagnosis of rolling bearings. Since the interference of heavy noise in the early stage of bearing fault, SSD could eliminate abundant noise, meanwhile adaptively decompose the nonlinear, non-stationary signals into multiple mono-components which had distinct physical meanings. Subsequently, SVD was adopted for de-noising in every mono-components because the noise was distributed throughout the frequency domain. In the following, signal reconstruction was performed based on the selected mono-components with de-noising. Finally, FWEO was employed for envelop analysis and the early fault diagnosis of the rolling bearing is realized. Two groups of experiment data concerning signals of early bearing fault were investigated to valid the effectiveness of the proposed method, and good fault identification effects were obtained.
Controllable Text-to-Image Generation with Enhanced Text Encoder and Edge-Preserving Embedding
Authors: Wang Zeyu , Liang Xiaoyu , Wang Cheng
Published: April 2021

Text-to-image generation through generative adversarial networks (GANs) has become a popular research topic in the fields of natural language processing and high-quality image synthesizing. By learning latent word features of queries, many state-of-the-art GANs generate images from coarse to fine in a multi-stage trend. While this mechanism is able to synthesize realistic images stage by stage, failures containing semantic mismatches and shape distortions still exist. In this project, we adopted a multi-stage text-to-image GAN as a baseline, and remodeled this structure in two ways: 1) modify the text encoder by pre-processing text queries with pre-trained language models to gain deeply mined text information, and 2) develop an edge-preserving structure to capture feature mismatches, denoted as “edge loss”, between text latent information and generated image edges. Experiments on benchmark dataset demonstrate that models of our method outperform the baseline model and increase Inception Scores by over 30%, and that our approaches are able to effectively generate synthetic images using natural language descriptions.
A privacy-preserving scheme for JPEG image retrieval based on deep learning
Authors: Li Bin , Ding Shilei , Yang Xu
Published: April 2021

With the great increase of digital images, content-based image retrieval (CBIR) has been proposed to facilitate the usage of images. Local users need to outsource CBIR to cloud services, which leads to privacy leakage. Based on deep learning, this paper proposes a retrieval scheme of encrypted JPEG images. In this scheme, the image owner sends the corresponding encrypted image to the cloud server. The cloud server extracts the Variable-length Integer (VLI) code length from the encrypted image and uses Convolution Neural Network (CNN) to learn a value of fixed dimensions as the feature vector. We have shown through experiments that our scheme is safe, with good performance and retrieval accuracy.
RETRACTED: Research on the Application of Computer Software Technology in Big Data
Authors: Wang Xiaoyan
Published: April 2021

This article mainly briefly introduces the related concepts of big data and computer software technology, and expounds the main technology of computer software technology in big data. The author discusses the effective application of computer software technology in big data through the current development of computer software technology. This article puts forward the considerations for the application of computer software technology in big data to clarify the important role of computer software technology in big data. The author strengthened the research on computer software technology. Relevant personnel need to continuously innovate and adapt to the big data environment, so as to improve the application level of computer software technology and accelerate the construction of modern society informatization.
Time Series Analysis Process of Dynamic Data in Internet of Things System
Authors: Song Yu Xiang
Published: April 2021

Time series analysis is a dynamic data analysis and processing method. The biggest characteristic of time series analysis is that the successive observations are not independent. When the observation series are correlated, the autocorrelation between the observation data can be used to establish the dynamic model of the data series. Thus, the existing observation data can be used to predict the future data. Time series analysis is an effective tool to deal with dynamic observation data.
PGGAN: Improve Password Cover Rate Using the Controller
Authors: Guo Xiaozhou , Liu Yi , Tan Kaijun , Jin Min , Lu Huaxiang
Published: April 2021

Password generation model based on generative adversarial network usually has the problem of high duplicate rate, which further leads to low cover rate. In this regard, we propose PGGAN model. It sets up an additional controller network which is similar to the discriminator in the aspect of structure and function. The discriminator and the controller respectively learn the measure between the distribution of generated password with the real password distribution and the uniform distribution, and then use two measures to teach generator meanwhile. By changing the activation function and loss function of the controller, different measure functions can be selected. The experimental results show that compared with GAN, our PGGAN performs better both in cover rate and duplicate rate. Moreover, Wasserstein distance usually has a better effect to the other measure in model. Specifically, PGGAN with Wasserstein distance can increase the cover rate by 3.57% and reduce the duplicate rate by 30.85% on rockyou dataset.
A review of cryptographic algorithm recognition technology for binary code
Authors: Zhao Chenxia , Kang Fei , Yang Ju , Shu Hui
Published: April 2021

Aiming at the cryptographic algorithm that may be contained in the binary program, combined with existing research results, several cryptographic algorithm identification techniques are analyzed, including control flow graphs, data flow graphs, feature matching, selection of command statistical attributes, and semantic-based behavior analysis. The recognition effects of related technologies are discussed respectively.
Vocabulary Analysis of English Major Textbooks Based on Range Software
Authors: Zhou Wei
Published: April 2021

Range is a program that provides vocabulary data. It can automatically measure the vocabulary produced by students’ work, and through the comparison of the excellent degree of students’ work, formulate the direction of subsequent teaching work. This can provide teachers with a new vocabulary analysis method for the text of English majors. This article summarizes the current situation of text vocabulary in English majors. The author discusses the results of this research and the content of the discussion from three aspects: statistics of the vocabulary coverage of the textbook and the vocabulary matching degree required by the syllabus, statistics of vocabulary recurrence rate, vocabulary learning opportunities, and case analysis.
RETRACTED: Exploration and Practice of College English Blended Teaching Model from the Perspective of “Internet+”
Authors: Qi Ying
Published: April 2021

In the context of the rapid development of Internet technology, the use of network information technology to improve and innovate the college English teaching model will help improve the efficiency and quality of college English teaching. This is also the main trend in the innovation and development of college English teaching. The effective use of the mixed teaching model can meet the requirements of teaching reform and improve the overall level of university English teaching. However, there are still some problems in the development of the college English blended teaching model under the “Internet +” perspective. Especially the mixed teaching methods and teaching policies are immature and imperfect. Therefore, colleges and universities need to strengthen the research work on the blended teaching mode of college English under the background of “Internet +”, and understand the problems existing in the application of blended teaching mode. At the same time, colleges and universities need to propose effective practical strategies to improve the level of Chinese college English teaching reform.
Fine-grained access control model based on sensitivity calculation by fuzzy mathematics
Authors: Wang Yuntao
Published: April 2021

Access control regulates the behavior of legitimate users in the security domain to access and operate resources, and ensures that resources are not used by unauthorized users, in order to protect resources. With the maturity of security label technology, new requirements are put forward for access control of multi-level security network. In this paper, a fine-grained access control model based on sensitivity calculation by fuzzy mathematics is proposed. Fuzzy mathematics is used to comprehensively calculate the sensitivity level of users and files based on their security label attributes. On this basis, the mandatory access control policies are set to make the access control mechanism between users and files more reasonable.
Research on cognitive signal waveform technology based on artificial intelligence algorithm
Authors: Chen Mengyu , Zhang Luyong
Published: April 2021

With the continuous development of communication measurement and control technology, the communication environment is increasingly complex and changeable, and the traditional communication technology has been unable to meet people’s communication needs. The proposal of cognitive dynamic system (CDS) provides a new direction for the development of wireless communication technology. At present, the two main application directions of cognitive system are cognitive radio (CR) and cognitive radar (CR)[1][2]. Considering the innovative combination of cognitive system and TT& C communication scene, this paper studies the cognitive transmission performance under various environmental noises based on chirp signal, and uses BP neural network to optimize the system performance. The simulation results show that the adaptive waveform technology can improve the anti-jamming ability, and the BP algorithm has good prediction effect and reduces the computational complexity of the system.
EPCAD: Efficient and Privacy-Preserving Data Anomaly Detection Scheme for Industrial Control System Networks
Authors: Gao Hanjun , Yuan Liang , Yin Fei , Shen Gang
Published: April 2021

With the integration of Internet and industry, traditional industrial control system (ICS) has faced cyber-security risks and challenges due to interacting with the Internet. In this paper, we propose an efficient and privacy-preserving data anomaly detection scheme (EPCAD) for ICS. The scheme, a combination of a homomorphic cryptosystem and the support vector machine (SVM) algorithm, has the capability of efficiently detecting anomalies in data without compromising data information. Security analysis result shows that the EPCAD scheme has the following advantages: protect the data in the programmable logic controller (PLC); ensure that the classification parameters of anomaly detection server (ADS) are not compromised. Performance evaluation analysis demonstrates that the EPCAD scheme has significant advantages in terms of computational costs and communication overheads.
A detection method of the turned white belly fish based on improved SSD
Authors: Tian Ganglu , Li Daoliang , Li Wensheng , Zhang Lu , Zhang Hongxu , Duan Qingling
Published: April 2021

Aquaculture water pollution and fish disease caused the phenomenon of fish turning white belly. The accurate detection of the phenomenon of fish turning white belly was of great significance for emergency warning, reducing loss and improving the quality of aquatic products. There were few studies on the detection of the turned white belly fish in the fish swarm. The current research was mainly to identify single the turned white belly fish under a simple background, which was not applicable in the real aquaculture environment. In order to solve the above problems, a detection method of the white belly fish based on improved SSD was proposed in a complex environment. Crucian carp was taken as the experimental object and the proposed detection method of the turned white belly fish had been tested on the real dataset. The results showed that the average detection accuracy of white-bellied fish was 99.8%, and the average detection accuracy of normal fish was 98.8%, which was suitable for the complex environment with high breeding density and many interferences.
Manhole Cover Detection Using Depth Information
Authors: Ren Haotian , Deng Fang
Published: April 2021

Nowadays, the security of manhole cover has become a growing concern. In the past, manual inspection and Internet of Things were often used to ensure the safety of manhole cover. With the advent of smart cities, people look forward to using cameras as a more convenient method to detect whether manhole covers are damaged. Based on the structure of object detection network, we integrate the depth information in the picture and create a new model which improves the accuracy of detecting damaged manhole covers.
Application of Information Transmission Protocol in Communication Transmission Network System
Authors: Wei Dan , Guo Yang , Luo Jiawei
Published: April 2021

The biggest advantage of the information transmission protocol is that it has a large-granularity cross-scheduling capability, and uses the information transmission protocol optical add-drop multiplexing equipment (FIROADM) to realize a multi-channel network. Based on the optical cross information transmission protocol network, wavelength-level cross scheduling and signal transmission are realized at the optical layer with the help of G709 standard encapsulation procedure mapping. The information transmission protocol can perform cross-scheduling of end-to-end services at the wavelength level, and the dispatching capability is stronger than that of electrical cross-connections. Moreover, services can run in the optical layer without processing in the electrical layer, and optical cross-connections can achieve flexible networking and support mesh networks. In addition, multiple optical layer protection methods such as optical channels and multiple paths can be constructed as well.
Design and Implementation of Visual Employment Recommendation System
Authors: Huang Gengsheng
Published: April 2021

This paper studies the design and implementation of a visual employment recommendation system based on deep learning. The system mainly uses web crawler technology, word segmentation system jieba, Django framework, data analysis algorithm Kmeans, data visualization Echarts framework and other technologies. The system can make two-way precise recommendation for enterprises and fresh graduates to improve employment matching.
The design of the C mobile earth station simulator based on C language
Authors: Li Jun
Published: April 2021

The communication equipment software of the Global Maritime Distress and Safety System is based on DOS platform, and the equipment operation simulator used for training and assessment is generally developed by VC, VB and FLASH technology. There are a lot of difference between the simulator and the real machine on the interface and the operating response. The operation of the simulator is done with mouse, while the operation of the real machine must be done with the keyboard only on board ships. The Inmarsat-C mobile earth station simulator has being developed by C language. The simulator terminal operating interface and response is identical with the real machine operation because the developing language of the simulator is the same as the real machine. Because the adoption of the doubly-linked list data structure, program structure is clear and code is simplified.
Research on 3D Animation Processing Technology in Modern Art Design System
Authors: Zhao Jinyuan
Published: April 2021

This article analyzes the expressiveness of 3D animation processing technology in terms of lens, character movement, light and shadow, detail shaping, visual special effects, and traditional elements. This paper studies the key points of technical application such as logical structure establishment, 3D animation modeling, animation model texture rendering, and dynamic interactive processing. The author sorted out the test environment, animation modeling test, rendering result test, interactive function evaluation, etc. The purpose of this article is to improve the content rationality of modern art design system and improve the application effect of 3D animation processing technology.
A Countermeasure of Power Attack for Lightweight Cryptographic Algorithm Using Bit Permutation Operation
Authors: Cheng Lifu , Zhao Youyou , Yang Jinjiang , Liu Leibo
Published: April 2021

The implantation security of cryptographic algorithm is very important. This paper proposes a method to resist power consumption attack for lightweight cryptographic algorithms. Using bit permutation operation as a countermeasure, we ensure that the position of each data of the original intermediate value data has changed after the bit is permutated, which greatly increases the difficulty of the attack. SKINNY is taken as an example for evaluate the effect of the proposed countermeasure. The experiment results show that the key will not reveal over 100,000 energy traces by using the countermeasure.
Positioning accuracy and formation analysis of multi-UAV passive positioning system
Authors: Zhu Jing , Song Binbin , Zhang Han , Wang Chengmin
Published: April 2021

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Design And Optimization Of Floating Point Division And Square Root Using Minimal Device Latency
Authors: Hema Priya K , Arulmurugan L , Praveen Kumar S , Ramesh R
Published: April 2021

New microprocessors have become a compulsory feature of floating-point support. In recent years, multiple generations of floating-point units (FPU’s) have been seen by leading architectures. Although the introduction of addition and multiplication has been increasingly effective, the support of division as well as square root will have remained uneven. The types of algorithms employed, as well as the quality and efficiency of the implementations, are drastically different. Here a floating-point division and square root unit is provided that implements a radix-64 floating-point division and a radix-16 floating-point squareroot. Here a floating-point division and square root unit is provided that implements a radix-64 floating-point division and aradix-16 floating-point squareroot. Speculation between successive radix-4 incarnations is used to achieve a reduced timing. In digit-recurrence implementations, there are three separate components: initialization, digital repeats, and rounding. The repetition of the digit is the iterative component and for multiple loops it follows the same logic. The initialization and rounding steps are partly shared by the division and square root, although each has a separate logic for digital iterations. The result is a floating-point divider and square root with low latency, requiring double, single S and half-precision division of standardized operandsand 11, 6, and 4 result cycles, and 15, 8, and 5 cycles of square root cycles. One or two additional cycles are required in the case S of subnormal operand(s) or result
Optical properties of rare earth (Ce) and transition metal (Ti) doped ZrO2 phosphors
Authors: Kurrey Ugendra , Brahme Nameeta , Bisen D.P.
Published: April 2021

Thermoluminescence and Photoluminescence of un-doped as well as Titanium (Ti3+) & Cerium (Ce3+) doped ZrO2 phosphors, prepared via solid-state reaction method. For the characterization of the sample FTIR, XRD, EDAX and FESEM study were done. FTIR confirms the presence of conventional impurities (such as NO3, OH-) present in the prepared sample. Structural characterization technique (XRD) shows the monoclinic formation and reveals the average grain size in the nano region. EDAX study confirms the chemical composition and through FESEM morphological status is studied. For kinetic parameters study themoluminescence studies is carried out and try to correlate the XRD results with thermoluminescence behavior of prepared phosphors. Photoluminescence emission spectra show the blue and green emission band for Ti and Ce doped ZrO2 phosphors respectively.
Photoluminescence studies and synthesis of KSrPO4:Ce3+, Eu3+ blue and orange-red emitting phosphor
Authors: Rahate Gaurav , Panse V R , Dhoble S J , Kokode N S , Sharma Khushbu
Published: April 2021

The growing need for leftover fuels and the ecological effects of their use was intended to give life to the traditionally extended global superpower infrastructure. Conventional, reliable fluorescent and incandescent lamps emit energy in the form of either heat or gas discharge. Both principles are strongly owing to the greater energy fluctuations that arise related to higher temperatures with the greater shifts of Stokes concerned. Within this work, we recorded sulphate-based blue & Orange-red emitting phosphors for lamp industry applications prepared using updated wet chemical synthesis methods, because the production of superb materials with high and stable fluorescent and luminescent properties is necessary to achieve high emission and fine clarity in the innovation of display systems. Morphological and structural tests and validation of phase and quality were conducted using XRD and SEM. The photoluminescent emission spectra of KSrPO4:Ce3+, Eu3+ phosphors show a blue emission band centered at 440 nm and a orange-red emission band centered at 593 nm and 618 nm. Typically, the structure of the Ce3+ ion in the ground state is split into two levels such as 2F5/2 and 2F7/2, while the5d1 excited configuration is divided by the crystal playing field into 2 and 5 elements.
Biofabrication and structural characterization of cerium oxide nanoparticles
Authors: Kashyap Komal , Khan F , Verma Dakeshwar , Agrawal Sonalika , Chandra Ch , Dewangan Pradeep Kumar , Sahu Vinayak , Verma Padma Rani , Jain Vikas Kumar
Published: April 2021

Cerium oxide synthesis (CeO2) nanoparticles were studied using a new and simple, eco-friendly process. The cerium oxide nanoparticles are synthesized with precursors of ammonium cerium nitrate and sodium hydroxide. Their chemical and physical properties are characterized by energy dispersive spectroscopy (EDS), X-ray diffraction (XRD), Fourier transforming infrared spectroscopy (FTIR), and UV-Vis spectrophotometer scanning electron microscopy (SEM), high-resolution electron transmission microscopy (HRTEM). XRD analysis indicated the cubic structure of the nanoparticles containing cerium oxide. The standard particle size of CeO2 was determined at 30 nm using HR-TEM and XRD. SEM determine the surface morphology of biosynthesized cerium oxide nanoparticles. A Ce-O stretching mode was defined by the strong peaks in the FTIR range, and the peak of UV-Vis range absorbance revealed the 3.26 eV band energy difference.
Plasmonic nanostructures for sensor technology-a review
Authors: Kumari Sudha , Saini Sapan Mohan
Published: April 2021

Presently, metal nanostructures have broadly been used as building blocks for sensing devices in various fields because of their remarkable optical, electrical, and mechanical features. Propagating Surface plasmon resonance (SPR) and localized SPR (LSPR) have been demonstrated as the principles of some highly sensitive sensors. LSPR-based nanostructures array has huge potential for high throughput screening platforms for sensing based on the kinetic measurement and change in refractive index. Highly sensitive plasmonic biosensors have been designed for biomedical fields, including point-of-care diagnosis and clinical purposes. Besides, the integration of plasmonic nano-arrays and connecting them with electrochemical sensing has noticeably blown up the application scenarios of the plasmonic nano-array sensors. In conclusion, fabrication methods for plasmonic well-designed nanostructures have been studied and the upcoming research trends of plasmonic sensing are highlighted.