nils-herrmann/clean_scirepeval huggingface dataset:
A Novel Solution of Distributed File Storage for Cloud Service

With the rapid development of the Internet application technology, especially Web2.0 and cloud computing, the data content people produced on the network grew in the geometric progression. And one of the fastest growing and the most likely to challenge the technical architecture things is the large number of small files. Traditional file system processes these mass small files is very toughly, In addition, high frequency creating and writing operations on small files may bring many problems under high concurrency requests, such as high disk IO, backup difficulty and poor scalability. This paper describes BerryStore, a distributed object storage system designed for cloud service especially for the massive small files storing, It provides a simple solution to handle a large number of small files. With a distributed coordinate controller introduced, our system is able to provide scalability, concurrency, fault tolerant function.
Research on IEC 61968 based message design for intelligent operation and maintenance center

Intelligent operation and maintenance is a novel technology mode of advanced transmission and distribution equipment management that can meet the demand of online monitoring, condition-based maintenance and visual management for equipment, as well as rapid load recovery repair and advanced asset management integration requirements. It serves as one of the most significant contexts to promote the standardized level of power system and for the development of smart grid. An IEC 61968 standard and SOA architecture based information platform infrastructure for the Intelligent Operation and Maintenance Center (IOMC) of Hengqin new district is introduced in this paper. Unified interface and data interaction specifications for the information platform of the IOMC are formulated and regulated according to business needs and process of the IOMC. The defined XSD message format and three message type meet the requirement of data integration and visual display that the IOMC have on automation, production management and GIS system. Thus the enabled panoramic view that monitoring the transmission, substation and distribution system and equipment operation information of the Hengqin new district creates an innovative management mode of the operation of transmission, substation and distribution equipment, which improves the collaboration working ability and efficiency of equipment's operation, maintenance, management and that of typical production business.
The Application of Optimized Fuzzy Decision Trees in Business Intelligence

Business intelligence is an important method to help managers make decision. In the management of enterprises, it is critical to analyze the customer forfeit crisis for rising competition ability, which is the important branch of business intelligence. On the basis of the advantage of fuzzy decision trees in solving the fuzziness of customer data compared with decision trees, this paper optimizes the two important parameters in fuzzy decision trees using genetic algorithm. Then an approach is proposed to analyze the customer forfeit crisis based on the optimized fuzzy decision tees. The experiment results show that this approach is feasible and effective, which provides a new idea for analyzing and forecasting the customer forfeit crisis and help managers make better decision in business strategy
Modeling and design of SR-Buck converter with parallel current mode control method

This paper presents a novel current mode controller for the synchronous rectifier Buck (SR-Buck) converter. In term of the discrete equation, the required duty cycle can be calculated directly with two parallel terms: the current term and the voltage term. Based on the analysis of the proposed algorithm, the small signal model of the closed-loop system is derived, thus a proportional and integral compensation strategy is suggested to achieve fast output voltage control. The resultant control system achieves rapid and precise output voltage regulation for both input voltage and output load changes. Furthermore, the theoretical analysis is confirmed by experimental investigations.
A Monte Carlo Simulation of Portfolio Dynamic Risk and Its Application

It is of great importance for portfolio risk measurement to grasp the actual distribution and dependence of financial asset returns. There are some drawbacks in Markowitz's portfolio theory, which reflects the risk and the dependence of financial assets returns by means of variance and Pearson's linear correlation. Basely on the virtues of copula in reflecting the dependence of random variables, and connected with the fat tail, no-asymmetry characters of the distribution of the financial assets returns, and the time-varying mean and variance, the paper constructed a dynamic measure of portfolio risk based on Copula-Garch-Evt, which selected value at risk or conditional value at risk as the indexes of computation. Finally, according to the data from China security market, the paper did empirical research with the constructed models.
Relative attitude determination for fly-around based on UKF

To solve the problem of relative attitude determination of a deputy satellite with respect to chief satellite in fly-around, unscented Kalman filter (UKF) method of relative attitude determination is presented. The minimum representation of the attitude, modified Rodrigues parameter (MRP) is adopted as the attitude representation parameter. Combination of gyro, star tracker and laser rendezvous radar are employed as the attitude sensors. The state equation of relative attitude determination is obtained with consideration of relative attitude dynamic equation. Therefore, the UKF model is constructed. Simulations are done and the comparison with that of extended Kalman filter (EKF) shows that the UKF method has a faster convergence speed and a higher estimation precision.
Electrical properties of plasma-polymerized silicon-incorporated polyethylene films under very high electric fields

The current-voltage characteristics and the breakdown strengths of silicon-incorporated polyethylene films fabricated by plasma polymerization have been measured under very high electric fields using linear ramp voltages. The results show that electric conduction is mainly due to the flow of holes injected from the anode by a tunneling process, and that electric breakdown is initiated by thermal instability caused by local high current density in one major conduction filament, and followed with the provision of large mean free paths for subsequent impact ionization, leading to a rapid increase in the current and final breakdown. The incorporation of silicon in polyethylene introduces additional hole traps and the amount of these hole traps increases with increasing silicon content. The trapped hole space charge at a fixed silicon content increases with increasing magnitude and duration of the applied field. The major role played by the silicon in polyethylene is to reduce the conduction current and to increase the breakdown strength.<<ETX>>
MPPT control strategy for off-grid wind power system

Based on analysis of off-grid wind power system characteristics, a maximum power point tracking (MPPT) control strategy is investigated. The new control strategy employs double grey relation analysis (GRA) for maximum power extraction. The first GRA is used the generator output voltage to estimate the maximum power under various wind speed. Then the second GRA is used to estimate the convert duty cycle according to maximum power. The simulations show that in the wind speed changing process the off-grid wind power system can search and trace the maximum power point automatically by using this strategy. Moreover, this control strategy is comparatively easy, and has high practical value.
Chaotic particle swarm optimization algorithm parametric identification of Bouc-Wen hysteresis model for piezoelectric ceramic actuator

A chaotic particle swarm optimization (CPSO) algorithm is proposed by introducing chaos state into the original Particle Swarm Optimization (PSO) which aims to solving the flaws of easy plunging into local optimum and losing search ability in the last period for the fast particle velocity decrease. CPSO algorithm takes advantage of the ergodicity, randomicity, and regularity of chaos to make chaotic searching for the global extremun at the same time with the particle swarm optimization. This algorithm synthesizes the high efficiency of global optimization of PSO algorithm and the ergodicity and randomicity of local search of chaotic algorithm. This paper utilizes aforementioned algorithm to identify the Bouc-Wen hysteresis model for piezoelectric ceramic actuators (PCA). The experimental results show that the model identified by CPSO algorithm has better performance than that by PSO algorithm.
Adaptive Multiple Snapshots with Matrix Pencil Method for Color Flow Imaging

Matrix Pencil (MP) estimation framework, which uses a generalized eigenvalue problem formulation and matrix rank reduction principle, has been recently introduced for color flow imaging. Based on an adaptive rank selection method, MP can extract flow velocity directly from raw slow-time ensembles whose clutter has not been suppressed. Therefore, biases due to clutter filter can be avoided, and MP is more accurate than conventional lag-one autocorrelation method. This paper attempts to make use of multiple snapshots for fast-time averaging, which removes aliasing caused by noise and provides precise estimation in low signal-to-noise ratio (SNR) blood flow environment. Further, an adaptive method is proposed for choosing averaging window size adaptively based on different SNR and tissue stationarity. Analysis based on synthesized flow data shows that noise can be effectively suppressed, and velocity resolution is preserved simultaneously.
SDRE based optimal time-varying sliding mode control for re-entry vehicle

An optimal time-varying sliding mode controller based on SDRE approach is proposed in this paper for re-entry vehicle attitude control in the presence of parametric uncertainties and external disturbances. Firstly, an optimal time-varying sliding surface is obtained through the minimization of a given performance index function and the philosophy of time-varying sliding mode control. Subsequently, a discontinuous control law is designed for guaranteeing the existence of the sliding mode throughout the entire response of the system. Therefore, the global robustness can be ensured. Simulation example is finally given to illustrate the effectiveness of the proposed controller.
HSCNN: CNN-Based Hyperspectral Image Recovery from Spectrally Undersampled Projections

This paper presents a unified deep learning framework to recover hyperspectral images from spectrally undersampled projections. Specifically, we investigate two kinds of representative projections, RGB and compressive sensing (CS) measurements. These measurements are first upsampled in the spectral dimension through simple interpolation or CS reconstruction, and the proposed method learns an end-to-end mapping from a large number of up-sampled/groundtruth hyperspectral image pairs. The mapping is represented as a deep convolutional neural network (CNN) that takes the spectrally upsampled image as input and outputs the enhanced hyperspetral one. We explore different network configurations to achieve high reconstruction fidelity. Experimental results on a variety of test images demonstrate significantly improved performance of the proposed method over the state-of-the-arts.
Optimal placement of PMUs in power systems based on improved PSO algorithm

Taking the full network observability of power system operation states and the least number of phasor measurement units (PMUs) as an objective function, an improved optimal PMU placement algorithm is proposed. In this algorithm, genetic algorithm (GA) is effectively combined with the particle swarm optimization (PSO) algorithm to ensure that the optimal solution can be obtained. The cross and aberrance operations in GA are used in the PMUs placement scheme to decrease the searching scope of the PSO method and improve the quality of initial PMU placement, thus the solving process is accelerated. In addition, a speedy observability analysis method which is called the pseudo measurement is put forward. The effectiveness of proposed algorithm is verified by the numerical simulation results of IEEE 14-bus and New England 39-bus system respectively.
Optimized GPU Framework for Ultrasound B-Mode Imaging

Ultrasound B-mode imaging is the basic image mode which can offer anatomic information of organs for clinical diagnosis. Because of the massive computation involved in baseband processing from focused radio-frequency (RF) signals followed by envelop detection, compression and scan conversion required for high quality B-mode imaging, existing medical systems always rely on complicated hardware in real time implementation. In this paper, we have proposed the parallel processing of RF signals to B-mode image based on commercial graphics processing unit (GPU) under NVIDIA CUDA platform. Experiments show that our GPU implementation can achieve a frame rate about 48 fps from RF signals of 206&#61620;2172 samples to an image with a size of 256&#61620;512. This is about 52 times faster than that based on CPU platform with the same image quality.
Integrated scheduling of generation and load in micro combined cooling heating and power system

The renewable energy and Demand Response in the combined cooling heating and power (CCHP) system operation is considered in this paper. The authors propose a kind of integrated scheduling of energy supply and demand which considers the coupling between them. In energy demand side, smart appliances are introduced to participant Demand Respond. In energy supply side, solar energy, storage device and heat recovery technology are adopted to satisfy multiple load. Moreover, a comprehensive evaluation index is established to evaluate the system from economic, environmental and energy-related aspects. The result shows advantages in economic, environment and energy, thus this approach provides a feasible and effective approach to handle dispatch problem in CCHP system.
Fundamental tests for 550 kV SF6 synchronous circuit breaker

Synchronous circuit breaker can close or open the circuit at some designated phase of the voltage or current to avoid serious transient overvoltage and surge current in power system. Synchronous circuit breaker can significantly improve the intelligent and automatic level of a substation. Rate of Decrease Dielectric Strength (RDDS) and operation time stability are the first important parameters to determine if a circuit breaker can operate synchronously. This paper focuses on the characteristics of a 550 kV SF6 circuit breaker. The RDDS requirement was discussed and given out. The pre-breakdown tests have been carried, whose results showed that the RDDS of the circuit breaker is 83.34 kV/ms and matched quite well the requirement of 21.16 kV/ms to limit the overvoltage at 1.5 p.u. when close parallel capacitor. A series tests on the influence from operation voltage, hydraulic oil pressure and environment temperature to the operation time have been executed in a large amount, the results of which showed that the influence of these factors should be considered when make the controlling strategy for synchronous operation, while the disciplines of the influence are just simple and can be presented by basic functions. The tests results also indicated that the deviation of the operation time is less than ±1ms, which means the circuit breaker is suitable for synchronous operation.
Correspondence Analysis for Groundwater Quality System

In this paper, the author attempt to apply the correspondence analysis mathematical model to evaluate the ground water quality system in Tarim Basin Kezhi River valley, draw good results. There are mainly two kinds of mathematical model for water quality evaluation at present: one is the definite system analysis model based on the accurate math, the other is the indefinite system analysis model based on the Fuzzy math and Grey theory. In these factors analysis, the former is not convenient for revealing the inner rules among the variables and samples, so it is certainly short of the theory foundation as a hydrogeology explanation. In the indefinite system analysis, there is much man-made plasticity for disposition counterpoise value and mathematical value ranges. Thus, this paper attempts to apply correspondence analysis method model to approach the reliability which to be used to evaluate the ground water quality system for dividing districts and classification.
A novel approach of real-time DSR rapid calculation

Although the precision of existing calculation methods of the dynamic security region can reach a high level, the heavy calculation and large time-consuming become the bottleneck of its online application. Based on the fact that fault location can affect the transfer of boundary hyper-plane, a method of real-time DSR rapid calculation - the angle uniform rotation method is proposed. By calculating angles of DSR hyper-planes in different fault locations, using the law that angles change in approximate linear, a new dynamic security region in another fault location is obtained. With the help of IEEE 4-generator 11-bus system, an acceptable error is obtained, which proves that the proposed method can improve the speed and accuracy of calculation of dynamic security region.
JPEG Image Encryption Algorithm Based on Spatiotemporal Chaos

Recently, various image encryption algorithms have been proposed in order to images from unauthorized access and distribution, and most of them only has the operation on encryption in spatial domain, but no consideration of its corresponding compression. Therefore, to ensure the level of compression ratio and image quality, a class of JPEG image encryption algorithm based on spatiotemporal chaos is proposed in this paper. Here, only the DC coefficients are extracted and split so that general statistical distribution of all Discrete Cosine Transform (DCT) coefficients remains unchanged. For the encryption process, a spatiotemporal-chaos system is utilized to shuffle the DCT blocks and diffuse the quantized DC coefficients. Analysis and experimental results show the encryption algorithm is secure and the compression ration is good.
Extraction of water-body in remote sensing image based on logic operation

In this paper, we put forward an approach to extract water-body in remote sensing image using logic operation defined by ourselves. In order to use this method to extract water-body, firstly, NDVI was calculated from multi-spectral image, and vegetation was removed by a certain threshold; Secondly, artificial buildings, cultivated land, cloud, and bare land were extracted according to the spectral signature among different bands of various objects; Finally, water-body was accurately labeled by the logic operation between images of water-body and other objects. The experiment on a LANDSAT TM imagery of the District of Poyang Lake, China's largest freshwater lake, including different types of water-bodies was carried out and the result indicated that it could effectively distinguish water-body pixels from non-water-body pixels, and it also could effectively exclude the negative influence of shadow of thin cloud. The experiment obtained high accuracy for the extraction of water-body in TM imagery.
Notice of RetractionPPC model and its application to evaluation of heavy metal pollution in soil

By means of PPC model be applied to comprehensive evaluation of soil quality, RAGA is proposed to be made use of to optimize the projection direction, it can turn multi-dimension data into low dimension space, the value of projection function can be calculated by way of seeking the optimal projection direction, thereby, according to the value, comprehensive evaluation of soil quality can be calculated. The outcome from concrete application indicates that it is suitable to evaluate soil quality, can avoid the problem of calculating weight coefficient subjectively, and provides us with a new method and thought to comprehensive evaluation of soil quality.
Portable Rock Bolts Nondestructive Testing System Design Based on ARM and Windows CE

A type of portable rock bolt nondestructive detecting system is designed, which is based on the ARM and Windows CE operating system. In hardware design, the signal acquisition module, A/D conversion module, LCD module and the power module are introduced respectively. In software design, the Windows CE operating system customization and the design applications program are completed. Proved by the experiment, the system has a good application prospect in paractical application.
Rerouting Strategy Based on Distance of Information-State Transition in a Vehicle Network

Transportation network is vital for materials used for a battle. To solve the problem of rerouting strategy in a transportation network, a new method for rerouting strategy based on the distance of information-state transition and time restriction is proposed. Then it analyzes the decision-making criteria of rerouting strategy while the mutilation in present-state and future-state. Based on above, an example is given to illustrate the validity and practicability of the proposed method.
Research on information integration technology for intelligent Operation and Maintenance center

Operation and Maintenance(O&M) of equipments serves as one of the most important part for power system operation and management, it is widely concerned while the system is under fast development. This paper provides a concept and technical framework of the Intelligent Operation and Maintenance Center(IOMC) and discusses its functional framework. Detailed business scenarios are analyzed. First, the paper gives the concept of IOMC, including the framework, functionality, etc. Second, detailed business needs and necessity of information integration are discussed. Finally, a testing result based on electric diagram information integration shows the feasibility of the IOMC and its capability of displaying the O&M of the equipments in a multi-dimensional manner. A IEC61968 based information integration technology is proposed.
A Novel Low Drop-Out High Performance Post Regulator Adopting Switch-Linear Hybrid Scheme

A novel switch-linear hybrid (SLH) post regulator is proposed in this paper. The SLH post regulator can be used in multiple outputs switching power converters for getting good regulation of all their output voltages. Theoretical analysis suggests that it has good regulation, low drop-out, low output ripple and strong load robustness. These advantages are verified by simulation and experimental results.
A novel IP paging scheme and performance analysis

The basic mobile IP supports registration but not paging. This mechanism will face a number of challenges, because the signaling overhead associated with mobility management will largely increase as the number of mobile users scale-up. Paging extension for Mobile IP (P-MIP) was proposed to decrease the signaling overhead by extending mobile IP with paging. In this paper, we introduce a novel IP paging scheme - the user's mobility feature based IP paging (UMF-IP-paging) scheme to reduce the signaling costs, which is based on the architecture of hierarchical network-layer mobility management (HNMM). We focus on the performance evaluation of UMF-IP-paging scheme through theoretical analysis and simulation in this paper. And the analysis and simulation results show that UMF IP-paging scheme can significantly reduce the signaling costs caused by mobility management and is capable of minimizing the paging cost under the delay bounds.