nils-herrmann/clean_scirepeval huggingface dataset:
A transformer condition assessment framework based on data mining

The framework of an assessment system on transformers' condition is proposed in this paper through mainly using data mining techniques. Moreover, a warehouse is used to collect transformers' testing data, and a multi-agent system is used to design the framework of the software. The present framework is open and flexible, so the objective system is easy to be developed and maintained. The system can support transformers' condition-based maintenance to reduce electric utility's cost. The condition of a transformer depends on its design, present and historical data relating to its installation environment, load amounts, being switched number and so on. Usually the off-line testing results, operational data, fault records and weather conditions have been stored in different systems, so finding an effective method to utilize all this information for condition assessment is difficult. Therefore, a data warehouse has been used to integrate all of the above data, and some data mining techniques have been used to find the pattern and trend of the condition of a transformer. Then whether it is healthy can be determined. In order to make the system open and flexible, open agent architecture (OAA) is employed to compose the multi-agent system. Seven application agents are designed to evaluate transformers' conditions synthetically. The Grey correlation method, grey theory prediction model GM(1,1), Bayesian network classifier and Bayesian network are employed in the agents.
Numerical Simulation and optimization of cyclone for pre-separation of gas and oil in well test separator

The comprehensive numerical simulation and analysis of flow field in the three-dimensional model of cyclone in three-phase test separation were performed by Fluent. Using RSM, the turbulence numerical simulation method, the relationship was researched between each parameter and the separation efficiency of cyclone, such as pressure, coning, overflow pipe diameter, then select the appropriate parameter values and obtain a optimal theoretical model. The results showed that operating pressure and flow rate were key parameters affected the separation efficiency of cyclone, the form and the angle of inlet, coning, overflow pipe diameter and insertion depth had an effect on the separation efficiency. Through numerical simulation and optimization, efficient cyclone for three-phase test separator could be obtained.
Towards matching food metadata in emergency decision-making using ontology and MapReduce

Data integration technologies improve the accuracy of decision-making in the occurrence of public emergency. Set in the emergency food supply, we propose in this paper a new method to match food metadata with ontology and MapReduce. In specific, by extending the “ARGOVOC” ontology from the Food and Agriculture Organization of United Nations (FAO), ontological descriptions about food metadata are established. Based upon the classification of emergency functionalities, food metadata in the same category are matched in a two-stage TFIDF way, which is further implemented using the MapReduce framework for efficient parallel computation. Evaluations on the subsidiary agricultural product metadata, provided by the Suguo supermarket, show the feasibility of our approach.
Robust adaptive control of a class of nonlinear systems with inverse compensation of unknown asymmetrical backlash nonlinearity

This paper deals with the robust inverse compensation and control for a class of nonlinear systems with unknown asymmetric input backlash. With an analytical expression of the inverse compensation error, a corresponding controller is designed by using the robust adaptive control approach. The developed control law ensures global stability of the whole control system and achieves both stabilization and tracking with desired precision. Simulations performed on an unstable uncertain nonlinear system illustrate and clarify the approach.
Integration of the CAD/PDM/ERP System Based on Collaborative Design

The increasing requirement and product complexity need a new design method for the global market. The collaborative design is an important style for the requirement. The CAD system for design is connected with the Product data management (PDM) and enterprise resource planning (ERP) system for management. PDM can support the management of engineering data and the product development. A methodology for the PDM/ERP/CAD integration is proposed. Firstly, the interest of integration of PDM/ERP/CAD is introduced. Then the UML-based methodology is applied for the product data integration model. The PDM structure model diagram and the class model diagram are introduced. Workflow method for the method is introduced. By workflow method, the data publican is realized by the trigger. The data among systems can be visited and exchanged by the methodology. As a result, the design and management models are modified, simultaneously and maintained consistently. The methodology is applied for a system by means of an example, which achieves a good result.
Video transmission scheduling for peer-to-peer live streaming systems

For Internet based video broadcasting applications such as IPTV, the peer-to-peer (P2P) streaming scheme has been found to be an effective solution. An important issue in live broadcasting is to avoid playback buffer underflow. How to utilize the playback buffer and upload bandwidth of peers to minimize the freeze-ups in playback, is the problem we try to solve. In this work, we propose a successive water-filling (SWaF) algorithm for the video transmission scheduling in P2P live streaming system, to minimize the playback freeze-ups among peers. SWaF algorithm only needs each peer to optimally transmit (within its uploading bandwidth) part of its available video segments in the buffer to other peers requiring the content and pass small amount message to some other peers. Moreover, SWaF has low complexity and provable optimality. Numerical results demonstrated the effectiveness of the proposed algorithm.
Dynamic Analysis and Design of the Spindle-Bearing System in Turn-milling Centre

In order to obtain the accurate dynamic characteristics of spindle-bearing system during the design stage, the spindle-bearing system with finite element model is simulated by virtual software, and a method which springs and damping units imitate bearing support is proposed in this paper. The proposed method can predict the regular pattern which bearing stiffness and bearing span affect natural frequency and harmonic response. The research demonstrates that the method predicts well the dynamic characteristics of the spindle-bearing system; therefore, it can be a reference for dynamic optimization design of spindle-bearing system in turn-milling center.
Using MMQ Model for Performance Simulation of Storage Area Network

The infrastructures of SANs are complex, and the implementations/designs of SANs are varied. So finding a proper modeling method to analysis and simulate SAN performance in a systemic/consistent way is very important for the work efficiency of SAN designers and performance tuners. This paper proposes a methodology of using a multi-tier multiserver queue (MMQ) network system to model a SAN system, which can be generalized to different SAN instances neatly, and be used for both performance analysis and simulation. Besides the main idea and high-level MMQ model, the application of this method is illustrated by constructing a software simulator, which is also designed and implemented in a systemic and reusable style. The simulation validation shows that maximum error range is less than 10%. So we can consider this method a sound solution for the quick performance design comparison and analysis of SAN.
An Immune Genetic Routing Algorithm for Mesh Network with QoS Constraints

This article presents a novel immune & genetic hybrid routings algorithm for mesh network with QoS constraints in order to supply multimedia transmission with high quality of services (QoS). Inspired by immune mechanism, the algorithm clones the predominant routings, restrains same or close routings in immune shape-space and evaluates the affinity of routings in two aspects, QoS metrics and distance between routings to improve the diversity. Genetic operators are used to evolve the routings. The algorithm utilizes linkage matrix and neighbor vector to restrict the routing conform to specific network topology, routing repair is also used after each evolution. QoS constraints are considered, involving the delay, bandwidth, jitter and loss ratio. Simulation experiments show that the algorithm achieves global random searching effect with perfect diversity and less iterations than ants and GA algorithms, better real-time performance for dynamic mesh network and gains load balance with multi-candidate routings.
Robust inverse compensation and control of a class of non-linear systems with unknown asymmetric backlash non-linearity

A robust control approach with the inverse backlash compensation is presented for a class of non-linear systems preceded by unknown asymmetric backlash non-linearity. Firstly, the analytical expressions of the inverse compensation error for an asymmetric backlash are obtained by introducing new indicator functions, which make it possible to design a corresponding controller for the asymmetric input backlash. With the developed compensation error expression, conventional robust control approaches can be utilised to deal with such a non-smooth non-linear system. As an illustration, a robust adaptive control strategy is applied to demonstrate the approach. The developed control laws ensure the robust inverse compensation and achieve tracking within a desired accuracy. Finally, simulations performed on an unstable and uncertain non-linear system illustrate and clarify the effectiveness of the developed approach.
Cross-Layer Handoff Design in MIMO-Enabled WLANs for Communication-Based Train Control (CBTC) Systems

Communication-Based Train Control (CBTC) system is an automated train control system using bidirectional train-ground communications to ensure the safe operation of rail vehicles. Handoff design has significant impacts on the train control performance in CBTC systems based on multi-input and multi-output (MIMO)-enabled WLANs. Most of previous works use traditional design criteria, such as network capacity and communication latency, in handoff designs. However, these designs do not necessarily benefit the train control performance. In this paper, we take an integrated design approach to jointly optimize handoff decisions and physical layer parameters to improve the train control performance in CBTC systems. We use linear quadratic cost for the train controller as the performance measure. The handoff decision and physical layer parameters adaptation problem is formulated as a stochastic control process. Simulation result shows that the proposed approach can significantly improve the control performance in CBTC systems.
Analysis and simulation of azimuth resolution for formation flying satellites SAR

Resolution is the most important parameter to measure the radar images quality. In this paper, a method of improving azimuth resolution based on spectrum synthesis under line formation flying satellites SAR condition is studied, and the relationship between baseline of formation flying satellites SAR and azimuth resolution is analyzed. We obtain the relationship between baseline and synthetic aperture length. When baseline is two times of synthesis aperture length, the azimuth resolution is the best. The computer simulation results also show the correctness of the method to improve azimuth resolution for formation flying satellites SAR.
A new method of demodulation for 16APSK/32APSK

16APSK and 32APSK, which are adopted by DVB-S2, can improve spectral efficiency. In order to reduce BER, the receiver will use demodulation method with good performance and low computation complexity. Based on the existing several demodulation methods, this paper presents a new demodulation method with practical value, and compares BER performance with several other existing demodulation methods through simulations. The simulation results verify the validity of the proposed methods of demodulation.
Comprehensive applying watershed algorithm in segmentation of CT brain images

According to the multi-threshold values of CT brain images, applying watershed segmentation algorithm by comprehensive methods which take full advantage of de-noising, gradient reconstruction, watershed segmentation, binary result and so on. Getting the binary skull image that is good at de-noising, detail accepting and over segmentation controlling. Meanwhile the program designed in MATLAB can process batches of CT brain images effectively, moreover, it can gain prophase data that is useful in anaphase image processing.
A Novel Nonlinear Feature Extraction and Recognition Approach Based on Improved 2D Fisherface Plus Kernel Discriminant Analysis

A novel nonlinear feature extraction and recognition approach which is based on improved 2D Fisherface plus Kernel discriminant analysis is proposed. We provide an improved 2D Fisherface method that designs a new strategy to select appropriate 2D principal components and discriminant vectors, then we use 2D features to perform the Kernel discriminant analysis. The nearest neighbor classifier with cosine distance measure is adopted in classifying the nonlinear discriminant features. The experiments show that the proposed approach achieves better recognition results than several representative discriminant methods.
Computer Simulation of Electronic Commerce Customer Churn Prediction Model Based on Web Data Mining

The traditional forecasting model has the problem of low prediction accuracy and large error when predicting the customer churn of electronic commerce. This paper proposes a method of electronic commerce customer churn prediction model based on the grey system theory. The model extracted customer characteristics at each stage from the electronic commerce customer churn information data for prediction, and converted the different characteristics in the different stages into a feature vector, and calculated the distance between the predicted information and all the sample. On the basis, the paper used the nonlinear mapping methods to convert electronic commerce customer churn structure data, fusing grey theory to set up electronic commerce customer churn prediction model. Simulation results show that the proposed model has some advantages in predicting electronic commerce customer churn, and has some advantages in accuracy and efficiency. Its simulation results are similar to the actual situation.
Multichannel Online Lifetime Accelerating and Testing System for Power Light-Emitting Diodes

The accelerated life testing is a common tool to achieve lifetime prediction and reliability analysis for light-emitting diodes (LEDs). Currently, all popular accelerated methods, either offline or online, employ a large volume, energy-consuming temperature chamber, which will cause the instruments inside worse, and the methods are usually incapable of controlling the junction temperature online. In this paper, we propose a multifunctional online system that controls the temperature of heat sink directly by a heating plate integrated to electrical-current-stress fixture. The combinations of spectrometer with optical multiplexer and current source with electrical matrix switch are adopted to fulfill the comprehensive real-time testing of LEDs, including optical, electrical, colorimetric, and thermal properties. In particular, junction temperature is monitored and controlled online by pulse-voltage method, which raises the accuracy and reliability of lifetime analysis and prediction. A new file format–HDF5 is applied to process huge quantities of experimental data, which are helpful to analyze the failure mechanism.
A Novel Approach for Measuring Chinese Terms Semantic Similarity Based on Pairwise Sequence Alignment

In this study, we first give a problem formulation for Chinese terms semantic similarity calculation. After that, on closer examination, we find that the traditional approach makes an implicit assumption that the order of corresponding primitive terms for two terms is roughly consistent. In other words, it doesn’t consider how the difference in the order affects the quality of correspondence. To overcome this problem, a novel approach based on pairwise sequence alignment is proposed. Finally, an experimental evaluation is conducted, and the result indicates that our approach outperforms or matches at least the traditional one in the majority of cases.
Correlation Analyses among Disturbance of the Ionosphere, Ground Electric Field Variation and Thunderstorm Activity

Based on the results of statistical analysis software SPSS, in this paper, we make a correlation analysis among disturbance of the ionosphere, ground electric variation and thunderstorm activity. We also study the influence from ionosphere and ground electric field on thunderstorm activity of the same day, in one day, two days, three days, five days, seven days and nine days. And From the outcome, we find, considering each factor separately, within 10 days both of the change of nocturnal and diurnal electric field intensities contributes to the variation of thunderstorm current. Comparatively, the activity of ionosphere has a more significant effect on ground electric field with a negative correlation between them. Also, we find an extremely-significant positive correlation between the nocturnal electric field intensity and that of the daytime. And in a multi-factor interplay analysis, there is little evidence suggests the influence from the ionosphere and ground electric field on thunderstorm activity.
Calibration of electronic current transformer with analog signal output

The performance of electronic transformer (ET) directly influences power measurement accuracy, of which output mode is quite different from that of electromagnetic transformers. Thus, conventional calibration method is not suitable for testing ET. This paper starts with the definition of ration error and phase error by IEC standard; analyzes problems in the existing calibration methods and then innovatively puts forward employing standard current transformer (CT), precise shunt and oscilloscope to measure ratio and phase error of ET with analog signal output at power frequency and high frequency (1kHz). Moreover, the data were compared and verified by two methods; the results were satisfied. Finally, the uncertainty was evaluated.
A New Video Coding Method Based on H.264 Algorithm

Aimed at the problem of narrow band transmission in transmission channels, a new coding algorithm based on H.264 is offered. By the method of reducing bit coding of I frame and improving coding stream of P frame, coding stream can transmit averagely in narrow band, transmission efficiency of coding stream is improved. Experiment results show that when I frame coding which takes up more time is reduced and P frame coding stream is improved, decoding file can be transmitted in narrow band in time, vision effect of output file can be improved also. Keywords-low coding rate transmission; coding model of I frame; coding model of P frame; transmission of coding stream in average
The Research on Transient Stability Assessment Methods Based on Bayesian Network Classifier

Transient stability can be rapidly assessed using the artificial intelligence technology. In this paper, a fast transient stability assessment method based on Bayesian network classifier was proposed from the perspective of data mining. First, select the characteristic quantities which reflect the power system transient process rapidly as the attribute variables of the Bayesian network classifier, then determine the stable event's posterior probability using of the prior information and sample data which is produced massively by numerical simulation algorithm. When the disturbances occur, we can judge the power system is stabile or not by reasoning according to the corresponding attribute variables. Because any classifier has the probability of misclassification, the boosting algorithm of Bayesian network classifier is applied. Finally, we conduct a numerical simulation on New England 39-bus system to verify the effectiveness of the classifier.
Evaluation of Electrical and Mechanical Characteristics for a Twisted Soldered-Stacked-Square (3S) HTS Wire With 1 mm Width

Because of the small square dimension, a soldered-stacked-square (3S) high-temperature superconducting (HTS) wire with 1 mm width is considered as a candidate for cabling large current conductors through twist process. For studying the twist structure, in this work, we prepared several twisted 3S wire samples fabricated from the same piece of the 3S wire with 10 m length. For the 3S wire, the uniformity of critical current was evaluated. As well, we investigated basic electrical and mechanical characteristics for the twisted 3S wire. The main results show that the critical current distribution for the 3S wire is relatively uniform at the average value of 90 A; the allowable minimum twist pitch of the twisted 3S wire is about 60 mm; the critical current of the twisted 3S wire shows isotropy characteristics; through the test for frequency dependence of self-field loss, we can know the eddy-current loss in the twisted 3S wire can be ignored, and the measured losses are identical to the calculated one from the thin strip equation; the minimum bending diameter and allowable tensile force for the twisted 3S wire are approximately 80 mm and 400  N, respectively.
Research on outdoor solar cell distributed monitoring with ZigBee wireless sensor network: Algorithms and application

I-V curve and MPP are key parameters for solar cell performance measuring. A low-cost testing system based on Zigbee for outdoor solar cell outdoor measuring is presented in this paper. The testing algorithm combining constant scale and incremental conductance algorithm is discussed. Interpolation method for I-V curve reconstruction and its error source are analyzed. This paper also reports the specific structure of our outdoor solar cell testing system. Using the developed algorithm and test system, we present a detailed numerical investigation and experiments about distributed outdoor solar cell measurement. The results show that this method can provide high-precision solar cell characters measuring with low complexity.
Linear frequency chirp generation employing optoelectronic feedback loop and integrated silicon photonics

We demonstrate generation of linear frequency chirps exhibiting an excursion of 50 GHz (λ0=1548nm) using an optoelectronic phase-locked loop and integrated silicon photonics interferometer (FSR=3.0GHz), demonstrating the feasibility of an integrated chip-scale frequency-modulated continuous-wave LADAR source.
PWM modulated three-level single-phase grid-connected PV inverter

In this paper, a PWM modulated Three-Level single-phase grid-connected inverter is proposed for photovoltaic (PV) generation system to reduce ripple of the current injected into the grid and reduce the voltage stress on the switches of the inverter To achieve high quality output sinusoidal current, a Proportional-Resonant (PR) controller is applied to the PV inverter. Moreover, a dynamic voltage compensator is used to reduce the THD of output current. Simulation results are provided to testify the validity and feasibility of the proposed scheme.