bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on ± 500 kV VSC-HVDC Submarine Cable Transmission Bottlenecks Under Different Laying Methods
Authors: Wang Yanfeng , Liu Siyu , Zhu Wenwei , Zhao Long , Tian Yi
Published: December 2022

Since the temperature distribution, electric field distribution and steady-state current-carrying capacity of HVDC (high-voltage direct-current) cables affect each other, the temperature field and electric field should be taken into account when calculating the current-carrying capacity. In addition, in the actual operation of submarine cables, not only their own characteristics but also the impact of the laying conditions on the cable current-carrying capacity should be considered. In this paper, COMSOL Multiphysics is used to calculate the temperature and electric field distribution of ± 500 kV XLPE (cross-linked polyethylene) HVDC submarine cable. By comparing the results of the simulation with the equivalent thermal circuit model, the validity of the heat transfer algorithm applied to engineering practice is verified. And the temperature field models of submarine cables in seawater section, directly buried section and submarine section are established. Through the simulation calculation of the overall model, the effects of soil thermal conductivity and seawater temperature on current-carrying capacity under different laying modes are obtained, and the conclusion that the bottleneck section of the current-carrying capacity of DC submarine cables is directly buried is drawn. The current-carrying capacity analysis method and conclusion of ± 500 kV submarine cable presented in this paper can provide a theoretical basis for HVDC submarine cable transmission.
Design and Implementation of a Multi-Source Automatic Transfer Switch (ATS) System to Run the Utility Systems Via Different Power Sources and 3-Phase Synchronous Industrial Generator
Authors: Sayeduzzaman Md. , Mahmud Ashik
Published: December 2022

An automatic transfer switch (ATS) is a device that automatically shifts a power source from its primary source to a backup source when the primary source fails or breaks down. When a primary power system fails, the ATS activates a standby power source, such as an uninterruptible power supply. An ATS can also start longer-term backup power systems, such as Industrial diesel or gas-powered generators, to keep power sources running until utility power comes back. Because of the poor power supply in developing countries, alternative power generation with automation is required to support utility supply. Automation has grown in popularity and now plays a vital role in the electronic industry. Electromechanical relays, magnetic contactors, and delay timers are the main components of designing an ATS, which has three input power and one output power source. To avoid loss of life or data, both of which are very expensive in business operations, delicate processes, and activities in hospitals, the pharmaceutical industry, and many other essential businesses require continuous power support. Therefore, a system that can operate autonomously with little or no human involvement is designed and implemented for a three-phase synchronous industrial generator that will power the utility systems. This project’s most exciting feature is its ability to automatically activate the secondary power source once the primary one fails due to a power breakout because it has multiple source inputs and a single output. When both sources fail because of a breakout, it turns on the industrial Generator and turns it off when either the primary or secondary power source is again restored.
Performance Analysis on a Traceable Precise Satellite Timing
Authors: Qin Weijin , Liu Ya , Yang Xuhai
Published: December 2022

Polluted by the noise of the observation, precision of satellite timing based on pseudoranges can merely reach tens of nanoseconds. Considering the sharply increasing demand of high-precision timing in the many fields, a traceable precise timing system has been proposed, which means having a connection with UTC (Coordinated Universal Time). We introduce the principle of the PPP (Precise Point Positioning) timing system and conduct the experiment with the form of zero baseline, long baseline, and very long baseline, simultaneously, CV (Common View) and AV (All in View) timing solution are used for comparison. Finally, the system performance has been evaluated from the aspects of precision and stability. The results show, when the Rubidium module is the frequency source of the user terminal, the 1 PPS timing accuracy of 904 km achieved by this method is 0.32 ns, and the frequency stability can achieve about 9.51e-13, 5.58e-13 and 1.37e-13 at the averaging time of 100 s, 1000 s and 10000 s. The timing bias is approximate 2 ns. Besides, the variation of the temperature will affect the timing results. Compared to the pseudorange timing solution, improvement on the PPP short term stability is more obvious than that of long term stability.
Deformation Mechanism of Closely-Spaced Roadways Group in Deep Coal Mine
Authors: Liu Bin , Liu Jingyi , Kang Yongshui , Zhu Yuanguang
Published: December 2022

The geo-stress of surrounding rock in deep coalmine is usually high. Mutual disturbance between closely-spaced roadways can cause severe deformation, or even induce engineering disasters such as roof collapse and rib spalling. Based on the engineering of closely spaced roadway group in No. 6 Coalmine of Pingdingshan mining area, the mechanism of excavation deformation and ring breaking of tunnel group with small clear distance is studied sing the methods of laboratory experiment, numerical simulation. The results have shown that: among the three common roadway layout modes, the stability of surrounding rock is successively inclined, vertical and horizontal from high to low, and the optimal spacing of three ways of roadway group layout within closely-spaced distance range (8–15m) is given. The deformation monitoring is carried out in many parts of the roadway, and the simulation results are consistent with the field monitoring data.
Voltage Control Simulation Platform of Urban Power Grid Based on Power Flow Calculation
Authors: Yao Weiping , E Zhijun , Liu Wei , Yang Bangyu , Li Xiaojiang
Published: December 2022

Aiming at the characteristics of complex nonlinearity, strong uncertainty and strong coupling of modern power grid and the lack of coordination and frequent action of reactive power equipment in multi-stage substations, this paper studies and develops a simulation platform of urban power grid voltage control based on power flow calculation, which is used to generate simulation samples with comprehensive coverage, wide range and few samples. The research results show that the simulation platform developed in this paper can effectively generate simulation information and a large amount of simulation data, which can provide support for AVC precise control.
Study on the Static and Dynamic Performance of Ribbed Single-Layer Cylindrical Reticulated Shell
Authors: Jon Myong Nam , Jiang Lanchao , Ri Chol Nam
Published: December 2022

The design parameters of ribbed single-layer cylindrical reticulated shell structure rib and the internal force, structural deformation, bearing reaction force, structural natural vibration characteristics and steel consumption are studied. Firstly, the space structure analysis and design software MSTCAD2020 is used to calculate the ribbed large-span cylindrical reticulated shell structure, and the structure is optimized by the full stress design method. Considering that the number of ribs is 4, 5, 6, 7, and 8, the heights of the ribs are 1.2m, 1.5m, 1.75m, 2m, 2.25m, 2.5m, 2.75m, and 3m, respectively. Three types of loads are considered as static load, live load and wind load. Under the same conditions, with the increase of the height and number of ribs, the internal force of the structure, the amount of steel used, the deformation of the structure, the reaction force of the support and the natural vibration characteristics of the structure are studied.
Research on Coordinated Allocation Method of Power System Carbon Emissions Based on System Equilibrium
Authors: Chen Wenjing , Lv Pinghai , Liu Chao , Li Qing , Ju Xueliang , Zhou Qinyong , Wang Jiye
Published: December 2022

The carbon peak and carbon neutralization targets proposed by China put forward better requirements for the coordinated and stable development of the power system. This paper analyzed the macro policy of carbon peak and carbon neutralization, formed a new boundary for energy and power development under the policy environment, and focused on the two main goals of power supply security and new energy consumption. This paper analyzed the various elements of the source-grid, load and storage, such as power and electricity balance, power resource allocation, grid structure, etc. and established the coordinated development model of environment, energy and power system. The result in 2030 is that the installed capacity of the wind power and photovoltaic will reach 1.59 billion kilowatts in China, including 1.2 billion kilowatts in North China, Northeast China, Northwest China, East China, Central China and Southwest China. Considering the volatility and randomness of renewable energy, the simulation verifies that it is necessary to increase the configuration of 100 million kWh energy storage to meet the balance requirements in severe scenarios, and configure 200 million kilowatt-hour energy storage and 59.36 million kilowatt-hour load-side response measures for each region achieveing power balance in extreme scenarios in 2030. This calculation result can ensure the safe and stable operation of the power system.
Appointed-Time Control for Euler-Lagrange Systems with Perturbations
Authors: Xing Haiqing , Ma Zhengshu , Sun Lei , Song Xiaohua , Fang Bin , Ma Caiguo , Xiong Xiaoyu , Liu Jundong
Published: December 2022

In this paper, a time-varying controller is developed for Euler-Lagrange systems with bounded disturbances. A mapping strategy is designed to make the convergence time of the system achieve at an arbitrarily pre-assigned finite time. The selection of the time period is independent of the initial conditions, and the performances is free of chattering. To be specific, the proposed controller is constructed in two steps: Firstly, a common PD controller is designed to ensure the asymptotical stability of the nominal system; Secondly, by employing the mapping strategy, then the obtained new controller can make the disturbed system converged at a specified time. In the simulations, a two-link manipulator is used to validate that both uniformly stability for the undisturbed system and pre-assigned time attraction for the disturbed system can be achieved.
Numerical Calculation of the Differential Velocity Vane Pump Driven by Mixed High-Order Fourier Non-Circular Gears Under Different Working Conditions
Authors: Ye Junxiang , Xie Rongsheng
Published: December 2022

The mixed high-order Fourier non-circular gears are the ideal driving non-circular gear for the differential velocity vane pump (DVVP) at present. The researches focus on the differential velocity vane pumps are mainly about the unequal speed driving mechanism, but the researches on the fluid field are less. This study mainly used the theory of fluid to analyse the internal fluid field of the DVVP driven by the mixed high-order Fourier non-circular gears. The flow line, flow velocity and pressure distribution of the internal fluid field of the DVVP under the condition of suction and discharge are numerically solved by using the fluid calculation software. The velocity vector of the trapped liquid is calculated. The flow pattern of DVVPs driven by mixed high-order Fourier non-circular gears under different working conditions is revealed. This study provides a fluid simulation method for designing high performance DVVPs.
Research of Communication Protocols for Energy Metering Devices
Authors: Song Huaxu , Xia Xin , Zhang Mi , Yuan Huipo , Wang Shouzhi
Published: December 2022

In this paper, we will design a set of standard communication protocols that can be used in different electric energy metering device environments by analyzing the communication protocols of the most used electric energy metering devices in the context of IoT smart laboratory construction, so that the electric energy metering devices can automatically detect the inspected equipment. It achieves the purpose of promoting the construction of a smart laboratory, enhancing the management of electric energy metering devices, and improving the efficiency of metering activities. It provides strong support for forming an automated, intelligent and industrialized testing system.
A Method for Exchanging Data Between Master Station and Terminal Based on Key Agreement Mechanism
Authors: Fu Qingqin , Ang Zhengquan , He Fan , Yang Guanglun , Fu Yingchun , Xu Pingjiang , Liu Jia , Yi Ling , Xu Haifeng , Lu Zhaoyu , Liu Benyang
Published: December 2022

In order to ensure the security of data communication in the electricity consumption information collection system of power users, this paper proposes a security method for data exchange between the master station and the terminal data based on the key agreement mechanism. The method is mainly completed in three steps: first, the master station and the terminal A session channel is established between the two, and session key negotiation is performed to obtain the session key used in the subsequent data exchange process; then, the session key in the session key negotiation is used to perform the authentication operation of the master station to the terminal; finally, the terminal to the master station is used. station for authentication. At the same time, security policies such as encryption and signature are adopted in the process of data interaction. Through these three steps, the mutual authentication between the master station and the terminal is completed, a secure communication channel between the master station and the terminal is established, and the secure data exchange between the master station and the terminal is finally realized.
Real-Time Detection and Early Warning System for Public Security Key Places Based on Human Posture Characteristics
Authors: Bai Xiaohui , Shou Zhenyu , Yuan Tianhang
Published: December 2022

Detention places, as an important part of police’s safe of law enforcement, are receiving more and more research attention. We are aiming to apply advanced information technology to the field of detention places and build an early warning prediction model that can improve the security of detention places. This research can accumulate some experience for follow-up technological development in the field of detention places’ supervision.
A Method for Power Amplifier Distortions Compensation at the RX Side for the 5G NR Communication Systems
Authors: Maltsev Alexander , Shikov Alexander , Pudeev Andrey , Kim Seonwook , Yang Suckchel
Published: December 2022

For the past years, the Internet of Things (IoT) supported by 5G technology, has been expanding rapidly across a wide range of services, enabling inter-object connectivity for the automotive industry, consumer electronics, transportation, logistics sectors, and manufacturing. With the increasing ubiquitous usage of various small-sized sensors, manufacturing cost of each element taken remains a critical aspect. Relatively low price of individual elements is the key for enabling tightly connected environment, but may severely affect RF chains quality as well as overall performance. With 5G expansion to the sub-THz bands, power amplifier nonlinearity may significantly limit system performance even in high- grade devices, due to power amplifier design limitations. Multiple studies were done to mitigate nonlinearity impact, both at the transmitter (TX) and receiver (RX) sides. Many solutions propose for evaluation and further compensation of the PA nonlinearity effects, via decision-directed feedback, training or even statistical processing of the received signal. However, with knowledge of the PA nonlinearity function at the receiver side, the processing may be simplified by the application of the reverse function to the equivalent signal in the time domain. In this paper we propose a method for PA nonlinear distortion compensation at the RX side, which can be adjusted for several signal waveforms adopted in 5G NR (New Radio) standard, such as CP-OFDM, DFT-S-OFDM, and others. The simulation results presented demonstrate performance improvement both for the sub-THz PA models and models for the 30–70 GHz band.
Advantage Analysis of MBSE in the Context of Multi-Historical Development Trends
Authors: Guo Yuqiang , She Shiyan , Zhao Jun , Guo Junxian
Published: December 2022

Since INCOSE first proposed the Model-based System Engineering (MBSE) road map in 2007, the concept of MBSE has been well known, but the application results of MBSE in many companies have not been satisfactory. The implementation of MBSE is a considerable investment, including learning the top-level MBSE processes and the three pillars of MBSE, including the language, tool and methodology. The lack of understanding of MBSE’s advantages makes it difficult for many complex equipment development enterprises to invest enormous time and economic costs to implement MBSE. In this paper, the advantages of MBSE are discussed in three developing trends, including written ideograms, human-machine communication language and human thinking. This is the first time to discuss the progressiveness of MBSE from these different views, which can help enterprises dispel the concerns about MBSE implementation and strengthen their confidence in MBSE’s full implementation.
A Lowpass-Bandpass Diplexer Using Common Lumped-Element Dual-Resonance Resonator
Authors: Jin Shan
Published: December 2022

A lowpass-bandpass (LP-BP) diplexer with one lowpass channel (LPC) and one bandpass channel (BPC) is presented. The lumped-element dual-resonance resonator as common resonator is proposed to connect inductors, capacitors and LC resonator to constitute the desired channels. The LPC design is combined with parameters optimization and the lowpass transformation method, and the BPC design can be developed using the classical design theory of coupled-resonator filter. As an example, a 0.9 / 1.8 GHz LP-BP diplexer is designed and fabricated, which exhibits high return loss (RL), low insertion loss (IL), wide bandwidth (BW), high isolation and extremely compact size.
Low Time-Complexity Chaotic Image Encryption Algorithm Based on Plaintext Information
Authors: Tang Nianhang , Wu Zeming , Guo Peng
Published: December 2022

Based on plaintext information, a dynamic chaotic color image encryption algorithm is proposed as a solution for the security problem in image data transmission, Comparatively, the existing one has the characteristics of high key acquisition complexity and low encryption speed. Firstly, normalize the RGB components of the images so as to obtain the dynamic key associated with the plaintext, which encrypts images with any shape by rearranging and combining pixels from the original image. Secondly, the parameter offset key is introduced as the initial parameter of the logistic map to generate a high-precision chaotic encryption sequence. The chaotic value sequence is stored for disordered pixels according to the image size, and enlarged and rounded to enhance the pixel value diffusion of the original image. Finally, RGB components are fully fused and uniformly distributed to form a completely encrypted image. According to the experimental results and security analysis, the proposed algorithm is effective against differential attacks, with low complexity, high efficiency, and faster encryption speed.
Research on Security Sharing Model System of Power Digital Spatial Data
Authors: Wen Aijun , Liu Zesan , Liu Di , Fu Chenghua , Gao Ziting
Published: December 2022

Digital transformation will promote the rapid progress of power digital space construction led by power data. Through the use of new digital information technology, we will give full play to the function of data integration and effectively support the construction of new power system. Data interconnection is the key link to release the value of data, but at present, there are still many urgent problems to be solved in the power digital spatial data sharing, such as the mismatch between data demand and data supply, weak security guarantee and so on. In order to study the security protection of power digital spatial information data sharing, according to the concept of privacy computing, a power digital spatial data security sharing model system based on privacy computing is designed. This model system has strong research and practical significance for realizing the secure circulation and sharing of new power system data.
The Light and Image Synchronous Method Based on Adaptive Color Segmentation Algorithm
Authors: Deng Qiuwei , Tang Nianhang , Su Mingyue , Zhai Jianguang
Published: December 2022

With the development of Internet of Things technology and the people’s pursuit of high-quality life, the development of smart homes is becoming more and more diversified, paying more attention to reducing costs, increasing benefits and user experience. For the scene where lights and images change synchronously in smart homes, the current technology used in related products is a solution for external hardware processing equipment, which has problems such as high hardware cost, complex configuration, only supporting external HDMI sources, etc.. Combined with the above situation, this paper proposes a smart home lighting linkage system that is suitable for market demand, easy to promote, apply and implement. Through ZigBee, Bluetooth networking technology, color segmentation technology, signal processing technology, etc., this solution designs and implements an adaptive lighting linkage smart home system based on the color change of the TV screen. The scheme has been proved to have the characteristics of low cost, good experience and stable effect in practical application, and achieved the expected research goals.
A Generative Learning Architecture Based on CycleGAN for Steganalysis with Unpaired Training Images
Authors: Zhang Han , Song Zhihua , Chen Feng , Lin Xiangyang , Xing Qinghua , Zhang Qingbo , Zhao Yongmei
Published: December 2022

Steganalysis based on deep learning has made noticeable progress over the past few years where the training is all based on paired images. However, scenes without paired training data exist. We present an architecture for learning to generate corresponding pseudo stego image from a cover-image in the absence of paired training images. We seek a mapping G that can generate pseudo stego images indistinguishable from the real but unpaired stego images using an adversarial loss. Because this mapping is highly under-constrained, we designed a CycleGAN and introduce spectrum of stego images to reinforce the adversarial loss. Qualitative comparisons demonstrate the superiority of our approach.
Multi-Path Propagation Prediction of 433MHz Wave in the Ship Environment Based on the Ray-Tracing Model
Authors: Tu Wanli , Xu Hong , Xu Yiqun , Zhou Qing
Published: December 2022

Designing a stable wireless sensor network with reliable transmission is a key issue for wireless communication applied in the complex ship environment. The traditional network node deployment mainly relies on human experience along with multiple tests and leads to very long construction period. The current work established a three-dimensional ray-tracing model of the 433MHz wave transmission in an engineering ship. The multi-path propagation prediction results were compared with the on-site test of wireless channel using LoRa communication devices. Then the deployment scheme of the transmission and reception nodes was proposed to facilitate the signal stable transmission. It could provide an effective theoretical guidance for the network construction.
Constellation Configuration Analysis Based on Angle Condition Number for Tri-satellite TDOA Geolocation System
Authors: Liu Bo , Chen Xiaoyang , Li Ming , Li Shuai , Ren Jie , Qiu Lede
Published: December 2022

The geolocation performance of tri-satellite system based on time difference of arrival (TDOA) is significantly affected by the constellation configuration. In this paper, an angle condition number based method is proposed for constellation configuration analysis. First, the coefficient matrix of constellation configuration is derived by geolocation error analysis. Second, the angle condition number is adopted to measure the ill-condition of the coefficient matrix. Based on the measurement, the influence of constellation configuration on geolocation is deeply analyzed. The effectiveness of angle condition number on constellation configuration analysis is verified by simulations.
Algorithm Based on Deep Learning to Improve the Logistics Management of a Company That Distributes Reading Material
Authors: Aquino Bruno Kevin-Flores , Baquijano Ángel Eduardo-Córdova , Ovalle Christian
Published: December 2022

Companies in the field of sales and distribution of reading material, which have the problem of great variability in the demand for their products, which causes higher costs and customer dissatisfaction. Deep Learning, which is a branch of Machine Learning which is responsible for training a computer to learn on its own, works by recognizing patterns using many processing layers and learns through repetition in its training. Using the KDD methodology, we have implemented a deep learning algorithm to improve the logistics management of a reading material distribution company through demand forecasting and other aspects of logistics. It was shown that with the use of certain functions in the neural network of the algorithm it can be predicted with a low deviation and a minimum level of error, giving us results for 85% of improvement in demand prediction, also an 80% of improvement in material devolution, increasing the precision of the company on buying material aiming to get the exact amount of material to distribute. However, we can improve the results for a more accurate prediction by adapting the algorithm to the situation. Also, we share our challenges, and other opportunities for future research. This paper can help other investigators being a guide for beginners in deep learning application in logistics management.
Efficient Security Detection Strategy Based on K-Means Algorithm in LPWAN
Authors: Jin Minhao , Luo Shaojie , Huang Jiabin , Zhou Xincheng
Published: December 2022

With the development of multi-element integration and high elastic power grid construction, digital sensing of transmission, transformation and distribution equipment in many new energy sources, virtual power plants and load aggregators will be widely used. In this environment, it is urgent to build a reliable sensing network to support its digital sensing applications such as operation state sensing, data collection and demand management. However, due to the large number and wide distribution of distribution equipment, there may be errors in the uploading results of sensors. This paper proposes an efficient security detection strategy based on K-Means algorithm, which greatly improves the information integration and decision ability of the data center.
Spin Sensitivity and Magnetic Response Analysis of Nano-SQUIDs
Authors: Shi Zejun , Wang Huachuan , Lin Jianxin
Published: December 2022

This paper presents the spin sensitivity and magnetic response analysis of the nano-superconducting-quantum-interference devices (SQUIDs). We employed the computational study to understand the schemes of a nano-SQUID’s detection capability according to the device’s geometry and fabrication process. We find that the performance of the nano-device increased by decreasing the loop size of the SQUIDs, and it reached the maximum value at the corners of the loop. We then estimated the flux noise SΦ of the SQUIDs in the thermal white noise regime and discussed the field amplification factor around the cross-section area. Furthermore, we fabricated YBa2Cu3O7 (YBCO) based nano-SQUIDs with Josephson junctions at MgO biocrystal grain boundaries using the Pulsed Laser Deposition (PLD) and Focused Ion Beam (FIB) technique. By comparison with the estimated value of our calculation, the spin sensitivity evaluated by the experimentally fabricated devices coincides nicely with our estimation.
Research and Evaluation of Early Warning Models for Crowd Density Monitoring Based on Drones
Authors: Li Hao , Liu Yining , Chen Jiongkai , Chen Mingxuan
Published: December 2022

High-density crowd areas are receiving more and more research attention as a key area of concern for law enforcement agencies. This project focuses on combining emerging drones with crowd monitoring algorithms to build early warning prediction models that can be embedded into the backend systems of relevant departments to provide references for the holding of large events and the control of popular scenic spots.
Analysis of Artificial Intelligence Applied in Virtual Learning Environments in Higher Education for Ecuador
Authors: Toapanta Segundo Moisés Toapanta , Díaz Eriannys Zharayth Gómez , Vizuete Oscar Marcelo Zambrano , Chávez Edith Elizabeth Ordoñez
Published: December 2022

Artificial intelligence in virtual learning environments in higher education for Ecuador continues to be a problem because there is no adequate analysis. The objective of this research is to carry out the analysis of artificial intelligence applied in virtual learning environments for higher education. The deductive method and exploratory research were used to analyze the problems that arise from properly applying artificial intelligence in virtual environments. Turned out a Prototype of Virtual Environments based on AI, considering all the necessary processes for an adequate virtual environment. It was concluded that for an adequate solution of virtual environments based on artificial intelligence, the characteristics, capabilities, virtual community and IT infrastructure must be defined, where it will be applied, knowledge and digital material information, AI components, among others.
RL-Based Load Balancing for Software-Defined WiFi Networks
Authors: Li Jun
Published: December 2022

Due to the popularity of mobile devices, more WIFI access points (APs) are being installed in public spaces, including train stations, airports, campuses, and shopping centers. Any station in WiFi networks will often connect to the AP that is closest to it based on the RSSI value that is the strongest. This user association approach will result in unfair bandwidth distribution and load imbalance when WiFi networks have many stations and an uneven distribution of those stations. By separating the control plane and data plane, software-defined networks (SDN) enable WiFi networks that are programmable, controllable, measurable, and manageable. This paper represents a novel load balancing mechanism based on reinforcement learning and SDN. In our proposed scheme, the center controller collects the number of associated stations with APs and traffic information on each AP’s backhaul link. Then the controller decides the optimal station migration scheme to achieve load balancing among APs, based on collected information and reinforcement learning algorithm. The simulation results illustrate that our algorithm outperforms the RSSI method in terms of throughput of stations and average station number of each AP.
Cost-Efficient Service Function Chaining with CoMP Zero-Forcing Beamforming in Mobile Edge Networks
Authors: Gao Yuan , Fang Hai , Wang Kan
Published: December 2022

As two promising paradigms in next generation cellular systems, service function chaining (SFC) and mobile edge computing (MEC) have attracted great interests, and would bring more delay-sensitive services to users in proximity. Nevertheless, owing to time-varying channel conditions and finite server resources, the SFC deployment in edge networks is nontrivial. In this work, leveraging both the coordinated multiple points (CoMP)-based zero-forcing beamforming and ℓp (0 < p < 1) norm-based successive convex approximation (SCA) methods, we investigate the SFC deployment in the edge. First, under the constraints of processing and link capacity, transmission power and service function ordering, we build a mixed-integer nonlinear programming (MINLP)-based cost optimization problem, to minimize both the flow and power cost. Then, using the dirty paper-based CoMP zero-forcing beamforming method, the interference among SFSs is canceled, and the original problem is recast as a interference-free one. Next, the ℓp (0 < p < 1) norm-based SCA method works to produce a series of convex subproblem, the iterative solution of which is proved to converge to optimal solution of original one at a linear convergence rate. Finally, numerical results are used to validate proposed method, showing that the wireless resource management deserves special interests in the SFC deployment in edge networks.
Online and Offline Analysis of Planck Constant Measurement
Authors: Luan Zhongqi , Wang Lina , Wang Yanjun , Gu Haifeng , Bai Yaxiang
Published: December 2022

The online virtual experimental platform and the laboratory photoelectric effect method were used to measure Planck’s constant. Excel software was used for linear fitting, and Planck’s constant and errors were analyzed and calculated. It was found that the offline experimental value was better than the online virtual observed value. However, the error of the online virtual experiment value is also within the controllable range. In the particular current period of frequent epidemics or for schools lacking experimental instruments, it is also a perfect choice to use the virtual experiment platform to measure the relevant empirical data.
Comparison of Deep Learning Methods and a Transfer-Learning Semi-Supervised GAN Combined Framework for Pavement Crack Image Identification
Authors: Lu Kai-liang , Luo Guo-rong , Zhang Ming , Qi Jin-feng , Huang Chun-ying
Published: December 2022

The pavement crack identification performance of typical models or algorithms of transfer learning (TL), encoder-decoder (ED), and generative adversarial networks (GAN), were evaluated and compared on SDNET2018 and CFD. TL mainly takes advantage of fine-tuning the architecture-optimized backbones pre-trained on large-scale data sets to achieve good classification accuracy. ED-based algorithms can take into account the fact that crack edges, patterns or texture features contribute differently to the identification. Both TL and ED rely on accurate crack ground truth (GT) annotation. GAN is compatible with other neural network architectures, thus can integrate various frameworks (e.g., TL, ED), and algorithms, but the training time is longer. In patch classification, the fine-tuned TL models can be equivalent to or even slightly better than the ED-based algorithms, and the predicting time is faster; In accurate crack location, both ED- and GAN-based algorithms can achieve pixel-level segmentation. It is expected to realize real-time automatic crack identification on a low computational power platform. Furthermore, a weakly supervised learning framework (namely, TL-SSGAN) is proposed, combining TL and semi-supervised GAN. It only needs approximately 10%–20% labeled samples of the total to achieve comparable crack classification performance to or even outperform supervised learning methods, via fine-tuned backbones and utilizing extra unlabeled samples.
Robust Estimation Method Using Successive Approximation Algorithm to Correct Errors
Authors: Ye Xiao-Ming
Published: December 2022

In measurement practice, the residuals in least squares adjustment usually show various abnormal discrete distributions, including outliers, which is not conducive to the optimization of final measured values. In this paper, according to the physical mechanism of deviation, dispersion and outlier of repeated observations, it can be seen that abnormal distribution and outlier are normal measurement phenomena, and weakening the influence of outlier is an incorrect research direction. Then, by revealing the advantages of functional model processing, this paper puts forward the error correction idea of using the approximate function model to approach the actual function model step by step, and forms a new theoretical method to optimize the final measured values, which greatly improves the quality of measured values. This is a new measurement theory idea that is completely different from mainstream robust estimation research.
Prediction and Analysis of Stock Logarithmic Returns Based on ARMA-GARCH Model
Authors: Qi Hao , Wang Yuanshen
Published: December 2022

With the rapid development of economy, investment has become a hot word. Many people hope to find an investment method to make profits. Many investment methods such as stocks, wealth management and funds have emerged. In the process of investment, forecasting the trend of investment products is one of the most important links. This paper analyzes the time series of APPLE, AMERICAN AIRLINES and AMD based on ARMA-GARCH model, and evaluates the model according to AIC, BIC, HQIC and other indicators to select the optimal model. The research results show that ARMA (3,2) – GARCH (1,1) model is applicable to APPLE stock logarithmic profit Prediction, ARMA (2,2) model is applicable to AMERICAN AIRLINES stock logarithmic profit prediction, and ARMA (2,2) – GARCH (1,1) is applicable to AMD stock logarithmic profit prediction.
Research on Spatial Distribution in Power Frequency Magnetic Field Immunity Test
Authors: Jiang Yang , Liao Chenxi , Fu Shisheng , Zheng Fan , Wang Limin , Li Ming
Published: December 2022

At present, the automation level in the power frequency magnetic field immunity test is relatively low. The placement and rotation of the tested equipment are manually done, which has health implications on lab technicians caused by long-term exposure to magnetic fields. This paper uses finite element simulation software to study the spatial distribution of the power frequency magnetic field. We started by building a simulation model of the power frequency magnetic field, then set up the air region, copper coil material, and magnetic field parameters. As a result of the simulation, we obtained the magnetic flux density model and the magnetic field arrow diagram. We then deduced the safe operation distance of test by referencing GB 8702-2014 and the simulation result. The simulation model’s and algorithm’s effectiveness are then verified by real-world measurement results of the spatial distribution of power frequency magnetic field.
Design and Application of Fully Hydraulic Intelligent Screw Clearing Machine for Grain Silos
Authors: Luo Jianping , Jia Zhiping
Published: December 2022

In order to fundamentally solve the hidden danger of dust explosion in grain silos, a new fully hydraulic intelligent screw clearing machine for grain silos was studied. The rotation of the spiral shaft and the movement of the whole machine were controlled by the hydraulic system, which realized that there was no electrical component in the internal actuator and the safety was higher. This paper introduces the structure and composition of the fully hydraulic intelligent screw clearing machine for grain silos and studies its key technologies. Based on the above achievements, the first domestic fully hydraulic intelligent screw clearing machine for grain silos is developed and applied to the grain silos of Xiamen Port Hailong Wharf. The application further compares and analyzes the main performance parameters of the fully hydraulic intelligent screw clearing machine and the electric screw clearing machine for grain silos. The research shows that the fully hydraulic intelligent screw clearing machine for grain silos can effectively reduce the operation of personnel entering the warehouse and realize safer, intelligent and efficient clearing operations.
The Tangible and Intangible Aspect of Industrial Heritage: to the Issue of Differentiation of Cultural Forms
Authors:   Saint Petersburg State Institute of Culture, Sankova Anna
Published: December 2022

Usually researchers of industrial heritage, pay attention only to material objects: buildings, machines and equipment or project documentation. Meanwhile, the intangible aspect of industrial heritage is also of great interest. It allows us to understand deeper the socio-cultural aspects of production, helps to the preserve the historical memory, and to form the national identity. At the same time, the differentiation of heritage into tangible and intangible can also cause difficulties. The article discusses the main elements of the industrial heritage and offers one of the way for their classification.
Architectonics of Spiritual Foundations in Azerbaijanian Culture
Authors:   Saint Petersburg State Institute of Culture, Busygina Marina
Published: December 2022

As a result of the study of the genesis of Azerbaijani culture, the author identifies three cultural substrates, namely, ancient Iranian, Turkic and Arabic, also, proposing a model of the genesis of Azerbaijani culture, characterized by the change of three cultural and genetic layers. Each of them is characterized by the manifestation of special value-semantic dominants associated with Zoroastrianism, Tengrism and Islam, respectively. As they overlap, all layers remain to some extend – they interact and complement each other, eventually creating a common framework of Azerbaijani culture with its authentic features.
Basics of waste-free processing of sludge waste from "Cherkasy Khimvolokno" chemical plant
Authors:   Bohdan Khmelnytsky National University of Cherkasy, Shaforost Yu.A. , Galagan R.L. ,   Bohdan Khmelnytsky National University of Cherkasy, Korol Ya.D. ,   Bohdan Khmelnytsky National University of Cherkasy, Lut O.A. ,   Bohdan Khmelnytsky National University of Cherkasy
Published: December 2022

We have carried out the laboratory study of the properties of zinc-containing sludge obtained after the recycling of waste from viscose fiber production via the calcium hydroxide method. A waste-free process of complex recycling of such sludge was developed. Based on this method, we developed the design and construction of a semi-industrial sludge processing located in the sludge storage facilities of "Cherkasy Khimvolokno" chemical plant. A scheme of complex processing of zinc sludge produced by "Cherkasy Khimvolokno" was offered. To completely remove organic compounds, the initial sludge was calcined in a muffle furnace at the temperature of 9000С for 1 hour. The recycling scheme was based on the treatment of roasted sludge with concentrated nitric acid. With this treatment, all soluble calcium, as well as iron and zinc, were transferred to the solution. The residual precipitate, which was insoluble in nitric acid and consisted mainly of calcium sulfate, was filtered off. The formed filtrate was alkalized to pH 4.2 to separate iron from zinc in the form of Fe(OH)3. Control of products at each stage of the process was carried out by X-ray fluorescence spectroscopy, X-ray diffraction, and chemical methods. Conditions of each stage in the laboratory process were specified. We proved the impossibility of waste-free sludge processing without roasting of its organic constituents. It was shown that the final products of such processing were the following: the powder for salt-affected soils reclamation, gypsum, ferric oxide, zinc oxide, metallic zinc, chemically precipitated chalk, and sodium nitrate.
The study of the interaction of 2-chloro- and 2,3-dichloro-5(8)-RO-1,4-naphtoquinones with CH-acids
Authors:   Lviv Polytechnic National University, Bolibrukh L.D. , Hubytska I.I. ,   Lviv Polytechnic National University, Karkhut A.I. ,   Lviv Polytechnic National University, Konechna R.T. ,   Lviv Polytechnic National University, Polovkovych S.V. ,   Lviv Polytechnic National University, Novikov V.P. ,   Lviv Polytechnic National University
Published: December 2022

The regioselectivity of the reaction of 2-chloro- and 2,3-dichloro-5-substituted naphthoquinones with CH-acids is studied. It is shown that the nature of the substituent in 5-RO-1,4-naphthoquinones plays the main role in the predominant formation of one of the possible regioisomers in the reactions of nucleophilic substitution. It is substantiated that the orientation of the nucleophilic attack by CH-acid on the C3 atom of 5-RO-1,4-naphthoquinones is due to the fact that the 5-methoxy and 5-acetoxy groups have a passivating effect on the electron-accepting properties of the C4=O group due to the positive conjugation effect. As a result, the electrophilic center appears in position 3. It is established that the interaction of 2- or 3-chloro-substituted 5-RO-1,4-naphthoquinones with CH-acids proceeds with the formation of 2- and 3-addition products with a preference for products of substitution of the chlorine atom in 3rd position. The structure of the regioisomers is confirmed by spectral data and by countersynthesis.
Dashboard design and usability study for geospatially enabled information seeking to assist pandemic response and resilience
Authors:   , Young Tiffany Carissa
Published: December 2022

Counties in Missouri are primarily rural. Rural communities often consist of individuals with poor health, lower economic status, and lack of public health infrastructure. During the COVID- 19 pandemic, most research was centered around urban-based data and thus did not provide the full-picture of vulnerabilities present in rural counties for stakeholders to consider when proactively planning for pandemics and making policies in regards to mitigation. To bridge the gap of urban and rural data availability, our team developed two interactive COVID-19 risk assessment dashboards using a 3-step design process that included identifying dashboard functionality based on the goals of stakeholders, collecting COVID-19 risk factor data, and selecting the appropriate type of dashboard visualizations in order for stakeholder needs to be met. Database processes were also created to promote a dynamic design in which risk factors can be easily updated, added, and removed from the risk assessment as COVID-19 progresses and more evidence is collected, keeping the risk assessment relevant. Using our dashboards, users can create customized risk assessments based on six categories of risk: susceptibility, transmission, accessibility, socioeconomic, health culture, and exposure, and geospatially visualize risk throughout counties with the ability to apply a rural/urban filter. Users can also drill-down to a specific county and learn about the prevalence and magnitude of 87 risk factors while looking for spatial trends and how counties with specific risk profiles were affected by COVID-19. A usability study was conducted to ensure that our platform is meaningful and can be easily navigated to aid with pandemic mitigation, healthcare planning, and research. An optimized version of this tool would not only help with planning for COVID-19 variants, future pandemics, and research in Missouri, but also be applied to all states of the United Stat