bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparison of weekly and daily online adaptation for head and neck intensity-modulated proton therapy
Authors: Bobić Mislav , Lalonde Arthur , Sharp Gregory C , Grassberger Clemens , Verburg Joost M , Winey Brian A , Lomax Antony J , Paganetti Harald
Published: January 2021

The high conformality of intensity-modulated proton therapy (IMPT) dose distributions causes treatment plans to be sensitive to geometrical changes during the course of a fractionated treatment. This can be addressed using adaptive proton therapy (APT). One important question in APT is the frequency of adaptations performed during a fractionated treatment, which is related to the question whether plan adaptation has to be done online or offline. The purpose of this work is to investigate the impact of weekly and daily online IMPT plan adaptation on the treatment quality for head and neck patients. A cohort of ten head and neck patients with daily acquired cone-beam CT (CBCT) images was evaluated retrospectively. Dose tracking of the IMPT treatment was performed for three scenarios: base plan with no adaptation (BP), weekly online adaptation (OAW), and daily online adaptation (OAD). Both adaptation schemes used an in-house developed online APT workflow, performing Monte Carlo dose calculations on scatter-corrected CBCTs. IMPT plan adaptation was achieved by only tuning the weights of a subset of beamlets, based on deformable image registration from the planning CT to each CBCT. Although OAD mitigated random delivery errors more effectively than OAW on a fraction per fraction basis, both OAW and OAD achieved the clinical goals for all ten patients, while BP failed for six cases. In the high-risk CTV, accumulated values of D
98% ranged between 97.15% and 99.73% of the prescription dose for OAD, with a median of 98.07%. For OAW, values between 95.02% and 99.26% were obtained, with a median of 97.61% of the prescription dose. Otherwise, the dose to most organs at risk was similar for all three scenarios. Globally, our results suggest that OAW could be used as an alternative approach to OAD for most patients in order to reduce the clinical workload.
Frequency-dependent optimal weighting approach for megavoltage multilayer imagers
Authors: Valencia Lozano Ingrid , Shi Mengying , Myronakis Marios , Baturin Paul , Fueglistaller Rony , Huber Pascal , Lehmann Mathias , Morf Daniel , Ferguson Dianne , Jacobson Matthew W , Harris Thomas , Berbeco Ross I , Williams Christopher L
Published: January 2021

Multi-layer imaging (MLI) devices improve the detective quantum efficiency (DQE) while maintaining the spatial resolution of conventional mega-voltage (MV) x-ray detectors for applications in radiotherapy. To date, only MLIs with identical detector layers have been explored. However, it may be possible to instead use different scintillation materials in each layer to improve the final image quality. To this end, we developed and validated a method for optimally combining the individual images from each layer of MLI devices that are built with heterogeneous layers. Two configurations were modeled within the GATE Monte Carlo package by stacking different layers of a terbium doped gadolinium oxysulfide Gd2O2S:Tb (GOS) phosphor and a LKH-5 glass scintillator. Detector response was characterized in terms of the modulation transfer function (MTF), normalized noise power spectrum (NNPS) and DQE. Spatial frequency-dependent weighting factors were then analytically derived for each layer such that the total DQE of the summed combination image would be maximized across all spatial modes. The final image is obtained as the weighted sum of the sub-images from each layer. Optimal weighting factors that maximize the DQE were found to be the quotient of MTF and NNPS of each layer in the heterogeneous MLI detector. Results validated the improvement of the DQE across the entire frequency domain. For the LKH-5 slab configuration, DQE(0) increases between 2%–3% (absolute), while the corresponding improvement for the LKH-5 pixelated configuration was 7%. The performance of the weighting method was quantitatively evaluated with respect to spatial resolution, contrast-to-noise ratio (CNR) and signal-to-noise ratio (SNR) of simulated planar images of phantoms at 2.5 and 6 MV. The line pair phantom acquisition exhibited a twofold increase in CNR and SNR, however MTF was degraded at spatial frequencies greater than 0.2 lp mm−1. For the Las Vegas phantom, the weighting improved the CNR by around 30% depending on the contrast region while the SNR values are higher by a factor of 2.5. These results indicate that the imaging performance of MLI systems can be enhanced using the proposed frequency-dependent weighting scheme. The CNR and SNR of the weighted combined image are improved across all spatial scales independent of the detector combination or photon beam energy.
Modeling and analyzing temperature-dependent parameters of Ni/β-Ga2O3 Schottky barrier diode deposited by confined magnetic field-based sputtering
Authors: Labed Madani , Sengouga Nouredine , Labed Mohamed , Meftah Afak , Kyoung Sinsu , Kim Hojoong , Rim You Seung
Published: January 2021

In this work, the temperature-dependent parameters of Ni/β-Ga2O3 Schottky barrier diode (SBD) were analyzed and modeled. The simulation is to elucidate the physical phenomenon behind this temperature dependence. At room temperature, the deviation of SBD parameters from the ideal case is due to the Schottky barrier height (

ϕ

B

)

inhomogeneity. A model is developed for this inhomogeneity in which an interfacial defected layer (IDL) is formed. Defects (extrinsic states) are related to plasma and Ar atom bombardment used in the confined magnetic field-based sputtering to realize the Ni Schottky contact diffusion in β-Ga2O3. Ni diffuses, upon annealing, to compensate defects in this IDL. It was found that the Schottky barrier height (

ϕ

B

) and threshold voltage

V

Th

decrease with increasing temperature. This decrease is related to intrinsic and extrinsic states (plasma and Ar bombardment). However, the ideality factor (η) increases which is related to the series resistance (R
S) increase. The increase is related to the interfacial layer and nickel resistance increase with increasing temperature.
The Validity of Hypothetical Learning Trajectory Based on Realistic Mathematic Education on Function Topics for Grade X Senior High School
Authors: Mardiah N , Armiati  , Permana D , Yerizon  , Arnawa I M
Published: January 2021

The tendency of teachers to teach functions mechanistically causes several problems in learning. Students are less interested and less motivated in learning mathematics, especially for the function topic. This study discusses the validity of the hypothetical learning trajectory on the topic of the function of grade X in Senior High School. The development model was the Plomp model, but in this study it was only up to the preliminary research stage. Based on the results of interviews with mathematics teachers at Senior High School4 and Senior High School 11 in Solok Selatan, it can be concluded that in the learning process, teachers only relied on textbooks, so that learning was less effective and the material in the textbook was still non conceptual and less related to the real world of students so that students found it difficult to understand the material but rather to memorize the material.
Analysis of Student’s Satisfaction to Academic Service in FMIPA Universitas Negeri Padang
Authors: Amalita N , Fitria D , Arnellis
Published: January 2021

It paper discuss about student’s satisfaction to academic services in FMIPA. It conclude facility and infrastructure, lecturer and education staff, and also student service. We use primer data from around 308 students. Questionnaire are arranged depend on tangibles, reliability, responsiveness, assurance and empathy. Based in data analysis, we conclude that all students less satisfied to the academic services in FMIPA. But, depend on analysis for each item, there are some points we have to increase, like lack of parking area, toilet, and religion facility for students which is prepared by faculty. It can be follow-up by faculty.
Teachers’ perspective of algebra learning in junior high school
Authors: Mukhni M , Mirna M , Khairani K
Published: January 2021

Teaching algebra in junior high school has its own difficulty. Algebra topic, such as using the variable, is introduced in the seventh grade of junior high school. Teachers must change students' ways of thinking from arithmetic thinking to algebraic thinking. The aim of this study is to know the teacher's perspective of algebra learning, especially about the number topic, in junior high school. The instrument was an open questionnaire, and it was given to 26 mathematics teachers at junior high school in Padang Pariaman region. The analysis used a descriptive approach. The result of the analysis shows that 18 teachers (69%) use media in learning mathematics, and most of them use media manipulative. There is no teacher using computer base media learning. Teachers find problems in algebra learning, such as students do not understand the type of number and the order of operations, which is happened because of misconception in mathematics.
Portofolio Optimization Through MPT on any Economic Situation on Indonesian Stock Exchange (2010-2020)
Authors: Rosha M , Arnellis
Published: January 2021

Modern portfolio theory told us that investors are tend to optimize the expected return of investment subject to a target of risk perception. In the real world, risks are depend on may factors, such as systematic risk (market risk and macroeconomics risk which can not be controlled to diversification) and non-systematic risk (specific company risk which can not be controlled through diversification). Applying Security Market Line Approach, constrained maximization and considering changes in economic situation between 2010-2020, we found that Modern Portfolio Theory can improve portfolio performance when limited impact is spotted on minimizing systematic risk of portfolio.
On Locating Chromatic Number of Disconnected Graph with Path, Cycle, Stars or Double Stars as its Components
Authors: Welyyanti D , Putri S R , Azhari M , Lestari R
Published: January 2021

Concept of the locating-chromatic number of graphs is introduced firstly by Chartrand et al. in 2002. In this concept only limited for connected graphs. In 2004, Welyyanti et al. generalized the concept and notion of the locating-chromatic number of a graph such that it can be applied for a disconnected graph. In this paper, we determine the locating-chromatic number for disconnected graphs with path, stars, cycle, or double stars as it's components.
The development of mathematics learning tools based on number heads together model to improve mathematical problem-solving skills of grade vii junior high school students
Authors: Lestari A , Permana D , Musdi E , Arnawa I M
Published: January 2021

This study aims to produce a valid and effective learning tool that is impactful towards students’ mathematical problem solving ability by using number heads together type cooperative learning model. The study developed both lesson plan ((known as RPP) and students' worksheets (known as LKPD) by using the Plomp development model. The research focuses on testing the effectiveness of the learning tool. The instruments used in this study are validation sheets and problem-solving skills tests. The result of the survey shows that RPP and LKPD were valid and effective.
Research on Multi-feature and Machine Learning Hierarchical Pedestrian Detection Method Based on Deep Learning
Authors: Hao Yitong
Published: January 2021

With the rapid development of science and technology, computers have become an important way for people to obtain information. As an important means of transmitting visual information, image plays a very important role. Pedestrian detection is a key research field of machine vision and a key technology in intelligent video surveillance and intelligent transportation system. Pedestrian detection is the basis and premise of pedestrian tracking, behavior analysis, gait analysis and pedestrian identification, and a good pedestrian detection algorithm can provide strong support and guarantee for the latter. Pedestrian detection is not an independent problem, it is closely related to video pedestrian tracking, human behavior recognition and pedestrian identification. The method of machine learning is to let the program have the ability of learning. Through continuous training and iteration, the parameters of the model are optimized. Deep learning can give full play to the speed and rationality of the machine and improve the accuracy of pedestrian detection.
A Specific Duration and High-energy Sine Wave Model to Reflect the Awaking and Falling Asleep Moments of Human
Authors: Yao Rentian , Li Yinsheng , Zheng Wei
Published: January 2021

The process of falling asleep is complicated. Is there a mutation between sleep state and waking state? This paper applied a new specific duration and high-energy sine wave (SDHE) model based on single-channel brainwave to study this problem. The falling asleep moment and awaking moment could be identified through the SDHE. The closest research is AASM criterion. 30 seconds multi-channel brainwave as a frame was used to score the human sleep stage in the criterion. In the Dreams database used in this paper, an expert did the sleep classification of the 20 test subjects according to the AASM criterion. The switching step between waking stage and other sleep stages provided a basis for this paper. Within one minute of the time difference, the Cohen’s Kappa consistency of the discriminant result of the model and the expert was 0.58. In view of the strong and clear law of the SDHE, this paper would have more promising applications and significance in the signal processing of brainwave.
Investigation of the Effect of Parameters on the Tightness
Authors: Du Peng , Zhang Wei , Wang Yongyan , Xie Zonghua , Jiang Qinglei , Tuo Jianzhi
Published: January 2021

The Center Composite Design (CCD) is built as a surrogate computationally expensive numerical simulations to improve the efficiency of the optimization design of metallic gas-ket. The optimization of important parameters such as wavy height, top flange thickness and gasket thickness is the goal of optimization by the CCD. Higher gasket thickness, wavy height and top flange thickness are beneficial to the improvement of sealing reliability. By comparing the optimization results with the finite element analysis results and test results, the results show that the coincidence is high and the design efficiency is greatly improved.
Research on the Weighted Regression Method of Artillery Trajectory Fitting Computation
Authors: Pan Zhang , Jiwen Liang , Pingjian Tang , Wei Chen
Published: January 2021

In order to improve the precision of the heteroscedastic artillery firing table, a fitting computation method for artillery firing table compilation without the assumption of homologous variance is proposed in the paper. The principle of the method is to elevate the regression effect of heteroscedasticity model with using appropriate weights. First, a reasonable method to estimate the variance of disturbance term is explored. On this basis, the variance function of disturbance term is fitted by polynomial basis and B-spline basis respectively. Finally, weighted B-spline regression was performed on the heteroscedasticity model with the variance function as the weight. This method does not need to ignore the existence of heteroscedasticity, nor is it limited by the general assumption in the past. It has positive significance to reflect the operational performance of the new weapon system objectively which is still in the stage of scientific research and design finalization. In addition, the method can be applied in both homoscedastic and heteroscedastic populations.
A multi-objective programming model based on the relative deviation
Authors: Wu Xinlin , Xu Min
Published: January 2021

Decision makers are often faced with the achievement of multiple goals in real life. The multi-objective programming model based on priority factors is an effective mathematical model to deal with multiple objectives, but it has some defects. In this paper, the concept of the relative deviation is introduced to deal with the defects of the multi-objective programming model based on priority factors, and the multi-objective programming model based on the relative deviation is proposed. A case study of portfolio decisions is given to illustrate the model. Results show that the model in this paper has more advantages than the traditional model based on priority factors.
Off-line programming of robot on laser cleaning for large complex components
Authors: Shuo Jin , Yuan Ren , Qingzeng Ma , Hailong Ge , Wenlong Li , Wei Cheng
Published: January 2021

Laser cleaning path planning is great for significance to the cleaning effect of component surface. In view of the fact that the cleaning head must keep a fixed focal length with the workpiece surface and keep a vertical angle with the workpiece surface at all times in the laser cleaning process, this paper introduces the numerical model of large components into the general off-line programming software, and according to the relevant laser cleaning process and setting specific parameters in the software, obtains the automatically planned machine. The human trajectory program is introduced into the robot to realize the surface cleaning of large and complex components. Finally, according to the actual cleaning effect in the field, the laser focal length deviation is controlled within ± 2mm, and the application of off-line programming of industrial robots in complex surfaces is summarized and prospected.
Application and Practice of Teaching Methods of Mathematics Information in Higher Vocational Education
Authors: Song Yuxia
Published: January 2021

Since 2019, in response to the requirements of the 2019 government work report, higher vocational colleges have implemented an expansion of 1 million people. Higher vocational mathematics teaching exists and faces new problems and challenges. This article briefly introduces some informatization teaching tools and platforms. On this basis, a reasonable informatization teaching plan is formulated, and teaching materials are integrated and optimized. The specific application and practice of informatization teaching are carried out in the teaching classroom, and an effective feedback mechanism is proposed. The results have greater sharing and promotion value. Eventually realize the goal of training high-level, high-quality and high-skilled talents.
Integrated optimization Control Strategy of DAB Based on DPS and Adaptive Genetic Algorithm
Authors: Deng Qin Rui , He Ying Jie , Lei Chao , Liu Jin Jun
Published: January 2021

In order to comprehensively consider the energy transmission efficiency of the isolated Dual-Active-Bridge (DAB) DC-DC converter, this paper proposes a control method that maximizes the power transmission efficiency of the whole converter and optimizes the stress of the switching device by using the dual-phase-shifting control mode under the premise of simultaneously considering current stress, back-flow power and power loss. Firstly, we compare and analyze the advantages and disadvantages of DPS, SPS and TPS, and finally determine the control method using DPS. Then analyze and compare the basic principles of the traditional current stress optimization target control method and the comprehensive efficiency optimal control method proposed in this paper. We compared the working mode analysis with the stability, current stress and application range of soft-switching. The adaptive genetic algorithm is used to optimize the two duty ratio degrees of freedom of the control strategy, and the optimal duty ratio corresponding to the objective function is obtained. Finally, the correctness of the control method and the superiority of the power transmission efficiency are proved by simulation and experimental comparison.
Research on Optimization Method of Multi-regional Power Grid Investment Scale
Authors: Liu Zifa , Peng Dong , Yu Puyang , Li Hui , Liu Hongyang
Published: January 2021

Optimizing the scale of investment in multi-regional power grids is the basis for ensuring the benefits of power companies and can meet the urgent needs of power grid development. This article first takes the historical benefits of power grids, planning benefits, grid scale and development needs as indicators to establish a multi-regional grid investment scale optimization indicator system. Then this article establishes a multi-regional grid investment scale optimization model. According to the historical benefits of the region and the grid scale, the initial distribution model of the grid investment scale was established; the grid investment scale revised model was established according to the planning benefits and development needs. Finally, an example is used to verify the effectiveness and feasibility of the method proposed in this paper.
Wind Power Short-Term Forecasting Based on LSTM Neural Network With Dragonfly Algorithm
Authors: Liu Hui , Chen Dihuang , Lin Fang , Wan Zhouli
Published: January 2021

The volatility and randomness of wind energy limit its large-scale usage in power systems. Accurate short-term wind power prediction can provide effective criteria for wind energy parallel in the grid and provide favorable conditions for the commercial utilization of wind energy. Therefore, the paper proposes a short-term wind power prediction model based on the dragonfly algorithm optimize long-term and short-term neural networks. Firstly, the model preprocesses the collected data and divides the data into a training set and a testing set. Then, the DA used the training set to optimize the relevant hyperparameters in the long and short-term memory neural network. Finally, the DA-LSTM prediction model constructed with excellent hyperparameters will use the test set to obtain the prediction results. The simulation results of the examples show that, compared with the GWO-BP, ELM, and LSTM models, the DA-LSTM model can effectively use time series data for short-term forecasting of wind power and has higher prediction accuracy.
Improved IMM algorithm based on XGBoost
Authors: Li Da , Zhang Pei , Li Ruifang
Published: January 2021

Based on Markov hypothesis, IMM uses multiple motion models to match the moving states of the target, and assumes the transfer probability of each model according to the prior knowledge, which has strong adaptability to tracking maneuvering target. However, it is not direct enough to obtain prior knowledge from source data statistics and then make decision according to maximum likelihood, and the information of source data is not fully utilized. Therefore, we use XGBoost in machine learning algorithm to replace this process. We propose XGBoost-IMM model algorithm. XGBoost can fully learn the information of the source data and make decision on the target motion model, and then IMM can perform multi-filter filtering based on the decision. Experimental results show that our algorithm has good performance.
Research on Optimized Deployment of Virtual Network Functions in Network Function Virtualization Environment
Authors: Liu Mingyue , Liu Feng
Published: January 2021

This paper mainly studies the optimization of dynamically arrived SFCs deployment in the SDN scenarios, and optimizes the end-to-end delay and bandwidth consumption during the deployment. First we build the model of the optimization problem, it is expressed as a 0-1 planning problem. We use ILP to get the optimal solution, cause the problem is NP hard, its runtime increases as network scales increases, so we choose the heuristic algorithm instead to reduce algorithm runtime. During our heuristic algorithm, we design a new method to sort VNFs and network nodes, then use the greedy algorithm to select nodes literately to place VNFs, in order to avoid local optimality, further use the simulated annealing algorithm with the results of the greedy algorithm as its initial solution, and design two methods to generate new deployments, and still repeat iterating to find a better deployment until reaching iteration limits. This paper also considers the SFCs’ lifecycle and trade-off between the two parameters. The simulation proves that the algorithm proposed in this paper can significantly reduce the end-to-end delay and bandwidth consumption than the traditional method, and 80% of its results are very close to the optimal solution with less than 5% error, and the ratio of its runtime and optimal solution’s is at most 0.003, the algorithm also has certain applicability and can be used in other scenarios.
Research on Enterprise Employee Information System Based On Big Data Analysis
Authors: Wang Jicheng , Li Donghai , Wang Zhao , Wan Taifeng
Published: January 2021

The data integration time of traditional enterprise employee information system data integration method is long, and the data coverage rate is not high in the integration process. This paper designs a data integration method of enterprise employee information system based on big data technology. First of all, the unified enterprise information system data integration standards and data classification principles are set. According to the relationship between data, data types are defined, employee information system data are classified, and inconsistent and duplicate data are eliminated after classification, so as to reduce the interference of invalid data and improve the efficiency of data integration. Then, a unified coding standard is formulated to check and code the classified data to determine whether the classified data set matches the actual data. Based on the offline data, deep learning algorithm is used to integrate the data of employee information system, which can reduce the occupancy rate of resources in the system and improve the coverage of effective data. The experimental results show that the data integration method takes less time than the traditional method, and has high data coverage, so it has practical application significance.
PID Control of Vehicle Active Suspension Based on Particle Swarm Optimization
Authors: Zhao Lelong , Zeng Zhiyuan , Wang Zhenyu , Ji Chufan
Published: January 2021

In order to select the PID controller parameters, particle swarm optimization (PSO) is used to optimize the PID controller parameters. To evaluate the ride comfort of the vehicle, the objective function is established which integrates the vertical acceleration, suspension dynamic travel and tire dynamic load, and the controller parameters are optimized by particle swarm optimization. Simulate it in the software MATLAB. The result shows that the function of PID controller after particle swarm optimization is better than that before optimization.
Research on underwater target tracking based on Gaussian Hermitian Kalman Particle filter algorithm
Authors: Zhang Chengzhen , Yang Yang , Ding Yuanming
Published: January 2021

The underwater target tracking environment usually has the characteristics of strong nonlinearity and non-Gaussian. The target tracking problem usually uses the nonlinear filtering algorithm, which combines the nonlinear measurement model with the linear system dynamics. The primary goal of target tracking is to extract accurate information about the real-time state of the target from the noise nonlinear observation obtained by the sensor. A new Gaussian Hermitt Kalman particle filter algorithm (GHKF-PF) is used to improve the tracking accuracy of the particle filter algorithm (PF). GHKF-PF uses the GHKF sampling method to sample particles from the posterior distribution of the target, calculates the mean and covariance for each particle, and uses the mean and variance to guide sampling. In the simulation experiment, the uniform linear motion model of underwater 3D target in the environment of Gaussian mixture noise (GMN) is established, and the application of GHKF-PF algorithm in 3D space is realized, and the accuracy is higher than that of PF. In order to further verify the effectiveness of the algorithm, a six-dimensional uniform acceleration motion model is established and compared with the extended particle filter (EPF) algorithm and the unscented particle filter (UPF) algorithm. The simulation results show that the performance of the GHKF-PF algorithm is similar to that of the UPF algorithm and better than the EPF algorithm.
Learning Gaussian Hierarchy Embedding for Relation Prediction in Knowledge Graph
Authors: Huxue Ruobai , Huang Jie , Wang Jiantao , Li Yiming
Published: January 2021

Knowledge graph embedding methods, which transform high-dimensional and complex graph contents into low-dimensional vectors (or matrices, tensors) representations. They are useful for a wide range of graph analysis tasks including link prediction, node classification, recommendation and visualization. Most existing approaches represent graph nodes as vectors in a low-dimensional embedding space, ignoring the semantic hierarchy and the uncertainty present in the real-world graphs. To address this challenge, in this paper, we propose GHAKE, Gaussian Hierarchy Knowledge Graph Embedding, a novel graph embedding method that preserves both semantic hierarchy and node uncertain effectively and efficiently in an end-to-end manner. GHAKE effectively models uncertainty through Gaussian embeddings, and models semantic hierarchy via mapping entities into the polar coordinate system. In our comprehensive experiments, we evaluate GHAKE on real-world graphs, and the results demonstrate that can effectively model the semantic hierarchies and the uncertain of entities in knowledge graphs, and significantly outperforms existing state-of-the-art methods on benchmark datasets for the link prediction task.
Research on Algorithms of Computing Offloading and Resource Allocation Based on DQN
Authors: Chen Guoqing , Cai Qiong , Fu Xingbao , Lai Yuanzhe
Published: January 2021

In the MEC unloading system with the weighted and minimized delay energy consumption as the optimization goal. Firstly, build a network model consisting of mobile devices, MEC servers and cloud centers. Secondly, considering the composition of the task, the amount of input data, the energy consumption threshold, the delay threshold and other factors, the task is divided into a non-unloadable part and an unloadable part, and then the unloadable part is divided into several subtasks. According to the AHP level analysis, this method Assign weights to subtasks to determine the allocation of computing resources. Finally, combined with the deep reinforcement learning method to determine the offloading decision, consider the frequency of the same task, and store the high-frequency tasks in the cloud center. In the simulation experiments of different system parameters, the results show that the combination of the model and the AHP-DQN method can better reduce the total system cost.
Research on Visual Data Mining Technology
Authors: Qu Kecheng , Wang Lina
Published: January 2021

As the rapid development of computer and network technology has produced massive amounts of data, it is becoming more and more difficult for various industries to process data, and the society’s demand for fast and effective data processing is also increasing. In this context, the use of traditional data processing methods is obviously insufficient. For this reason, using the advantages of visualization technology and combining it with data mining can realize the visualization of the entire process of data mining. This will not only help users understand the data mining process more clearly, increase the utilization of data mining results to ensure accurate and effective decision-making, but also improve the effectiveness and accuracy of data recognition and increase the credibility of the data mined. To this end, this article will analyze the relevant meaning and characteristics of visual data mining technology, and conduct analysis and research from several aspects such as technical design, implementation methods, application development status and future development.
Research on Semantic Feature Disambiguation Based on Improved Collaborative Filtering Algorithm
Authors: Yu Lin Lin , Su Li , Lin Qiang
Published: January 2021

Artificial intelligence is developing rapidly, and the amount of information data is also increasing. Human-computer interaction technology can use computers to understand and process massive amounts of large data texts and accurately locate useful information. Moreover, it is very difficult to achieve smooth human-computer interaction. The main reason for the difficulty is that there are various ambiguities in natural language. Therefore, a noun phrase referential disambiguation model is established by improving the convolutional collaborative filtering algorithm in the paper, where the hand-crafted features are applied to clean up data to remove redundancy, and the remaining correct data is used as the input of the model. After experiments, the MACSSR algorithm and the CSSR algorithm are used for comparative testing under different M directs. It proves that the research content of this paper is superior to the comparative test method, and can extract semantic dependencies more quickly and effectively, which contributes to the intelligent semantic disambiguation technology.
Research on Power Network Data Management Based on Convolutional Neural Network
Authors: Zhao Ruifeng , Li Bo , Guo Wenxin , Lu Jiangang , Li Shiming
Published: January 2021

Faced with huge business data, collecting and statistics of these data can be easily achieved through the system. However, during data analysis and result output, there is a large amount of data that cannot be intuitively accepted at a glance, resulting in disorder and inefficient work. Therefore, the grid load thermal map is scaled with cubic convolution interpolation in the paper, which requires the offset distance determination of the floating point in the horizontal and vertical directions. Moreover, based on the operating data of transformer and line, the analysis and verification of the load thermal map in power grid is realized. Besides, problem equipment can be clearly displayed on the map, which is convenient for staffs to identify and analyze.
GIS-based mine flood preventing and controlling assistance decision system
Authors: Xu Jiangtao , Yang Zhenwei , Wen Guangchao
Published: January 2021

The author has proposed the overall structure of mine flood preventing and controlling assistance decision system by analyzing the present situation of mine flood research survey, established the mine flood assistance decision platform. We have realized the mine flood preventing and controlling informatization and intelligent by using re-development on software.
An Unbalanced Security Protocol for IoT devices
Authors: Wang Huinan , Zhang Jianmin
Published: January 2021

Authenticated key exchange (AKE) protocol is a crucial process in Internet of Things. This paper aims to customize the Elliptic Curve Diffie-Hellman (ECDH)-based AKE according to the computational capability of devices. We propose a method to unbalance the computations in the ECDH key exchange scheme by configuring the more powerful device undertake one scalar multiplication on behalf of the computationally limited one. The analysis results show that the computationally unbalanced protocols are more friendly to computationally limited devices than the original one.
RFID Indoor Positioning Method Based on Received Signal Strength Indication
Authors: Wang Dong , Dong Enhong , Shi Yufeng , Wei Honghe
Published: January 2021

RFID indoor positioning technology has a good application prospect. This paper analyzes the RFID indoor positioning method based on received signal strength indication (RSSI).First, the indoor signal propagation model is constructed, the model parameters are estimated using the weighted least squares method, and then the received signal strength indication is used to estimate the distance between the target to be located and the reader at the known position. This method has certain practical value.
Research on the design of lake water intelligent monitor
Authors: Zeng Xi , Yi Mengdi
Published: January 2021

Recently, my country’s industrial production has caused great damage to wat er resources, especially the pollution degree of inland lakes is getting worse every year. Therefore, the monitoring of the water quality of inland lakes in China has become i mportant as one of the basic measures to protect the lake’s water resources and enviro nment. At present, most water quality monitoring methods in China are still in a relati vely backward stage. The water quality monitoring methods have the disadvantages of l ow efficiency and insufficient timeliness of results, which cannot meet the needs of cur rent water quality monitoring. The purpose of this study is to design a lake water intel ligent monitor with autonomous mobility and sustainable uninterrupted monitoring capab ilities. To optimize the design of water quality monitor, this paper analyze the existing water quality monitors, summarizes the deficiencies that exist in the existing water qual ity monitor products and draws the use requirements of the product, and Propose the d esign direction of the new intelligent water quality monitor; At the same time, accordin g to the technical principles required for the design of water quality monitoring instrum ents, the feasibility of product design is analyzed; finally, the overall design of the lake water intelligent monitor with independent mobility and sustainable uninterrupted monit oring capability is realized.
Application of a New-type Damping Structure for Vibration Control in Deployment Process of Satellite Antenna Component
Authors: Wang Min , Zhao Tingting , Liu Qinda , Liu Jiaxing , Zhang Yunfei
Published: January 2021

Vibration control of flexible deployable mechanism is seriously significant with the increasing application of it in aerospace field. Satellite antenna must be carried out in folded state due to small space of launch vehicle. In the process of deployment and attitude adjustment, vibration has a great influence on the contour accuracy. Based on transfer matrix method, the deployment structure of large flexible deployable satellite antenna is analysed to obtain its natural frequencies and modes. By solving the first three natural frequencies and modes in different deployment angles, the structure completely deployed is prone to be coupled and has the worst stability. Thus, damping structure to suppress vibration at all modal resonance points of fully deployed satellite antenna is necessarily to be installed. A new-type damping structure, multi-petal friction damping structure with the characteristics of simple structure and wide frequency-band, is proposed in previous paper. The dynamic analysis of deployment process at different angles for deployment component with damping structure is carried out to verify the damping effect and the feasibility of damping structure as well as the rationality of theoretical analysis.
Automatic disturbance rejection control of wind power connected T-type inverter based on filter function
Authors: Li Chunling
Published: January 2021

In order to solve the problems of large tracking error and poor ADRC effect of wind power grid connected T-type inverter, this paper studies the active disturbance rejection control method of wind power grid connected T-type inverter based on filter function. By establishing the mathematical model of wind power grid connected T-type inverter, the filter parameters are optimized by using the filter function, and the noise signal generated during the operation of the inverter is processed to reduce the control error. Taking the filtered bus voltage as the feedback input of the controller, the active disturbance rejection control of T-type inverter is realized. The results show that the control error of the filter function is reduced by about 4.57%, which has strong robustness.
Smart substation secondary equipment plug and play technology application
Authors: Tang Zhijun , Lin Guodong , Chao Wujie , Zhai Bolong , Liang Yi , Xu Jie
Published: January 2021

Is proposed in this paper, including the design of intelligent substation, construction and operational stages within the whole life cycle of technology innovation, further analysis the secondary equipment key problems and techniques of modular design, to “plug and play” technology system research and the application in the smart substation as the main line, the paper introduces the construction stage in prefabricated tank secondary equipment standardization of interface design, this paper discusses the operational phase process layer intelligent device plug and play, avoid setting of relay protection and automatic recognition of intelligent tripping and migration research such as technology protection function. The construction period of the substation is greatly shortened, and the intelligent control is realized to “plug and play”.
Development of Track Superelevation Simulation Testing System
Authors: Fu Huijun , Yang Jing , Liu Shihui
Published: January 2021

This paper first discusses the standard requirements and the existing test method for the coefficient of flexibility of the existing metro vehicle. The existing method has the disadvantages of manpower cost, insufficient accuracy of track lifting, different lifting speed of jacks under axle boxes. There are also safety hazards of the vehicle capsizing and the jack sliding. This paper introduces a set of simulation testing system based on hydraulic principle for these problems, measuring track superelevation accurately, reading and controlling the height of vehicle body and the track, thus realizing measuring the coefficient of flexibility. This system has the advantages of simple structure, easy installation, convenient operation and high measuring precision. The track distance, wheelbase and biaxial distance are all variable. It also saves manpower and effectively eliminate safety hazards.
Simulation Research on Cutterhead Hydraulic Drive System of Shield Machine
Authors: Wang Changlin , Chen Jiwen , Wang Rijun , Meng Decai
Published: January 2021

The core of the cutter head drive system of shield machine is the hydraulic system. Combined with a certain type of shield machine, the structure and working principle of 1.8 m hydraulic driving system for cutterhead of shield machine are studied, and the closed loop control mode of variable pump variable motor is adopted to design the 1.8 m hydraulic driving system for cutterhead of shield machine, the simulation model of the cutter head drive system is established in the hydraulic simulation environment, and the parameters of the sub-model are designed according to the actual situation.
Study on the Influence of Inlet Drag at Front and Rear Sides of Compressor on the Performance of Supercharged Engine
Authors: Wang Shangxue , Zhang Zhijun , Cao Jing , Chen Jinbing
Published: January 2021

In this paper, the influence of inlet drag at the front and rear sides of a compressor on the performance of a supercharged engine is tested. The test results show that the air flow into the engine, the combustion pressure and the engine output power decrease, the specific fuel consumption and the exhaust temperature behind the turbine increase with the increase of air intake drag. Especially when the engine at low speed operation, with the increase of inlet drag, engine performance will worsen sharply. Compared with the influence of the drag after compressor on the engine performance, the drag before compressor is more sensitive to the influence of the engine performance. When the engine speed is 1500r/min, 1900r/min and 2400r/min, the reduction in engine power caused by inlet drag in front of the compressor is 2.63 times, 4.1 times and 7.5 times that caused by the same inlet drag after the compressor. Also, the former results in an increase in specific fuel consumption 2.18 times, 3.1 times and 5.16 times of the latter. So optimizing the structure of the inlet system in front of the compressor can reduce the performance loss of the engine more effectively. The conclusions of this paper will provide guidance for the selection and matching of air filters, the spatial arrangement of multi-stage air filters in turbocharged engines, and the structural design of air intake system.
Investigation on the electric power personnel training mode in Tibet areas
Authors: Liu Ruihua , Yang Li , Xi Chuan , Liu Xiaoju , Zhao Zhoufang , Li Lingzhou , Yuan Juan
Published: January 2021

In this paper, through on-the-spot investigation of Sichuan Tibetan power enterprises, we exchange the current training mode of Power Talents in Tibetan areas, and exchange with enterprises the feasibility of modern apprenticeship implementation scheme. Through the investigation, we further optimize and improve the training mode of Power Talents in Tibetan areas, ensure the quality of education, and promote the reserve and development of Power Talents in Tibetan areas.
Application of Modern Machinery Design Method in Mine Machinery Design
Authors: Tian Wei , Wang Li , Bu Guiling
Published: January 2021

In the context of the rapid development of science and technology, people’s demand for energy is also increasing. Moreover, mineral resources are an important type of energy indispensable in the development of the national economy. However, as the mining volume of mineral resources continues to increase, the difficulty of mining mineral resources is also increasing. Therefore, we must improve traditional mining machinery and equipment and increase the production capacity of mining machinery and equipment. Only in this way can we improve mining efficiency. In this process, we can use modern mechanical design methods to ensure that the design of mining machinery is compatible with the actual mining of minerals. At the same time, this can also improve the design level of mining machinery and equipment, and ensure mining benefits.
Design of Test Platform for Thorium-based Molten Salt Reactor Protection System
Authors: He Jinsong , Qu Guang Feng , Li Xiao Jun , Xiao Jia
Published: January 2021

This paper summarizes the characteristics and test requirements of the thorium-based molten salt reactor protection system, and proposes a test platform design for the fourth-generation thorium-based molten salt reactor (TMSR) protection system. It mainly includes system design, hardware selection, software design and system interface. Based on the Producer-Consumer software architecture built by virtual instrument technology, the test platform uses the NI PXI hardware platform to realize channel testing, functional testing, online debugging and other functions. This design can fully test and verify the protection system without the process system, and can be extended to test other reactor-type protection systems or monitoring systems.
Study on abnormal vibration caused by foundation settlement of a 650MW unit
Authors: Ma Lyuzhou
Published: January 2021

An unplanned shutdown occurred in a 650MW unit after one year of commercial operation. In the subsequent start-up, due to the excessive rubbing vibration, the unit tripped many times. During the overhaul inspection, it was found that the foundation of the steam turbine had large uneven settlement. Through taking proper maintenance measures, the vibration problem was successfully solved.