nils-herrmann/clean_scirepeval huggingface dataset:
Study on the new method of partial discharge locating in transformer

The quick and precise locating of partial discharge is important in eliminating the hidden faults promptly and ensuring the safety and stability of the power system. In this paper, the existing methods of PD (Partial Discharge) locating were analyzed at first, and then a PD locating method based on ultra high frequency (UHF) and ultrasonic array signals in transformer was introduced, which regards the time point of signal detected by the UHF sensor as the time benchmark to calculate the distance between PD source and ultrasonic sensor and orientate the PD source based on the modified Fast Direction of Arrival(FastDOA) algorithm by ultrasonic array signals. This algorithm expands a real sensor array into several virtual arrays of different aperture to enhance the resolution, and averages the spatial spectrum of the virtual arrays to restrain the spurious peaks. Then the orientating based on the modified FastDOA algorithm was simulated with MATLAB. The sensors were developed and the PD locating experimental platform in transformer was built at last, the experiment results of which verify the effectiveness of the proposed method.
A parallel algorithm for the forward dynamics of planar flexible manipulators

With the realization that recursion is not suitable for parallel computation, the paper presents augmented equations for the forward dynamics of planar flexible manipulators by using the virtual power principle and the vector of Lagrange multipliers. Based on augmented equations, a parallel computational scheme and a parallel algorithm with O(n) processors is proposed. Finally, a two-link planar flexible manipulator is chosen as an example to compare the computational efficiency in computer simulation. The results show that the parallel algorithm developed in the paper is efficient.
Structure optimization of door-beam base on strength of side doors

Side doors are important parts of a vehicle, whose strength has big influence for the structure of the car and hence the safety of the passengers. Chinese National Regulation (GB15743-1995) has clear requirements for car doors and their testing processes. In this paper, we analyze the characteristic structure of the car door and study specifically on the structure of door beam and its influence for door strength. A finite element model of vehicle for door impact is created. We analyze the result by LS-DYNA software and validate the efficiency of this model through door impact test. The result shows that the initial crush resistance is less than the value required by national regulation. Through optimization of the cross structure of the door beam, the strength of side door is improved, and the result satisfies the requirement of the regulation.
Cross-Scale Reference-Based Light Field Super-Resolution

Light fields suffer from a fundamental resolution tradeoff between the angular and the spatial domain. In this paper, we present a novel cross-scale light field super-resolution approach (up to  $\text{8}\times$ resolution gap) to super-resolve low-resolution (LR) light field images that are arranged around a high-resolution (HR) reference image. To bridge the enormous resolution gap between the cross-scale inputs, we introduce an intermediate view denoted as single image super-resolution (SISR) image, i.e., super-resolving LR input via single image based super-resolution scheme, which owns identical resolution as HR image yet lacks high-frequency details that SISR scheme cannot recover under such significant resolution gap. By treating the intermediate SISR image as the low-frequency part of our desired HR image, the remaining issue of recovering high-frequency components can be effectively solved by the proposed high-frequency compensation super-resolution (HCSR) method. Essentially, HCSR works by transferring as much as possible the high-frequency details from the HR reference view to the LR light field image views. Moreover, to solve the nontrivial warping problem that induced by the significant resolution gaps between the cross-scale inputs, we compute multiple disparity maps from the reference image to all the LR light field images, followed by a blending strategy to fuse for a refined disparity map; finally, a high-quality super-resolved light field can be obtained. The superiority of our proposed HCSR method is validated on extensive datasets including synthetic, real-world and challenging microscope scenes.
A refined weighted K-Nearest Neighbors algorithm for text categorization

Text categorization is one important task of text mining, for automated classification of large numbers of documents. Many useful supervised learning methods have been introduced to the field of text classification. Among these useful methods, K-Nearest Neighbor (KNN) algorithm is a widely used method and one of the best text classifiers for its simplicity and efficiency. For text categorization, one document is often represented as a vector composed of a series of selected words called as feature items and this method is called the vector space model. KNN is one of the algorithms based on the vector space model. However, traditional KNN algorithm holds that the weight of each feature item in various categories is identical. Obviously, this is not reasonable. For each feature item may have different importance and distribution in different categories. Considering this disadvantage of traditional KNN algorithm, we put forward a refined weighted KNN algorithm based on the idea of variance. Experimental results show that the refined weighted KNN makes a significant improvement on the performance of traditional KNN classifier.
Insulator ultraviolet discharge feature extraction based on level set

For obtainment of facula area of external insulation ultraviolet discharge figure automatically and accurately, a facula area extraction method based on active contour models was proposed in the paper. Of the active contour models, the ultraviolet discharge region contour was obtained by calculation of partial differential equation. The algorithm has global optimization capacity, which is different from obtainment of edge by local figure information of conventional methods. It has strong capacity of resisting disturbance, low requirement for image definition, in the meantime, need not preprocessing, the facula area of ultraviolet discharge could be obtained accurately. Conventional edge detection operators, mathematical morphology method and the proposed method were implemented to obtain facula area of ultraviolet discharge figure, the result indicates that: the edge obtained by the conventional edge detection operators exist much interference, and the obtained contour points is discrete, it is difficult to obtain the facula area. The proposed method can obtain single or multiple facula area accurately, and it has not the optimal threshold selection problem and dimension selection of structuring element problem of mathematical morphology method, has strong automation capacity.
Magic Glasses: From 2D to 3D

This paper proposes a virtual 3D eyeglasses try-on system driven by a 2D Internet image of a human face wearing with a pair of eyeglasses. The main technical challenge of this system is the automatic 3D eyeglasses model reconstruction from the 2D glasses on a frontal human face. Against this challenge, this paper first proposes an eyeglasses segmentation method using a convolutional neural network-based parsing algorithm to label the glasses pixels, followed with a proposed symmetry-based level-set optimization algorithm to refine the contour of the eyeglasses. With the precisely extracted silhouette image, we take advantages of the smoothness and the symmetry priors of the eyeglasses, and propose a silhouette-based 3D deformation method to deform a 3D eyeglasses model selected from a predefined 3D model database. The obtained model is plausibly approximated to the input 2D eyeglasses after a texture mapping step. Finally, we develop a virtual try-on system to interactively synthesize the reconstructed eyeglasses on a moving target face in real time. The experimental results demonstrate the efficient and convincing virtual try-on performance of our approach and the commercial potential of our proposed system.
Development and realization of Gigabit network driver for VxWorks based on MPC8313E

The network technology has found extensive application in various fields and embedded systems are no exception, based on which the development of network driver software also becomes a hotspot. The development of network driver for VxWorks6.6 version has a larger improvement than previous. The paper which takes the development process of Gigabit Ethernet driver based on MPC8313E hardware platform for example, depicts the implementation process of END network driver style for new VxBus model of VxWorks in detail, analyses the mechanism of network driver and summarizes some debugging experience through practices.
A 7 MHz 24-bit pipelined accumulator in 1.2- mu m CMOS for application as a numerically controlled oscillator

To accomplish timing recovery/synthesis in high-speed communication systems, a 24-b numerically controlled oscillator (NCO) chip using a circuit design technique called true single-phase clock (TSPC) pipelined CMOS has been fabricated in a standard 1.2- mu m CMOS process. The 1.7-mm*1.7-mm IC has a maximum input clock rate of 700 MHz and dissipates 850 mW of power, which is substantially lower than similar ECL and GaAs devices. The digital NCO technique results in a frequency-tuning resolution and open-loop control linearity which cannot be achieved by analog approaches.<<ETX>>
Harmonic wave analysis of conductor corona current based on wide frequency band measurement

Corona current is one of important corona characteristic research contents. In order to analyze conductor corona current harmonic wave characteristic, a corona current measurement system is developed. The synchronous collect of the voltage and current signal is realized by the GPS technology. The corona current signal is transmitted to the lower computer through the wireless network. And the current signal collected in this way is safe and reliable. The measurement system can be used to measure the wide frequency band corona current. Advanced Hanning windowed interpolation FFT algorithm was adopted, and conductor corona current harmonic wave was analyzed. Corona current harmonic characteristics before and after corona onset were compared. Research results show that, after corona onset, corona current odd harmonic increases in evidence, and even-order harmonic increase less relatively. Triple-frequency harmonics and quintuple harmonics increase obviously very much, and conductor corona current harmonic analysis can be used to research conductor corona characteristic.
Estimation of Virtual View Synthesis Distortion Toward Virtual View Position

We propose an analytical model to estimate the depth-error-induced virtual view synthesis distortion (VVSD) in 3D video, taking the distance between reference and virtual views (virtual view position) into account. In particular, we start with a comprehensive preanalysis and discussion over several possible VVSD scenarios. Taking intrinsic characteristic of each scenario into consideration, we specifically classify them into four clusters: 1) overlapping region; 2) disocclusion and boundary region; 3) edge region; and 4) infrequent region. We propose to model VVSD as the linear combination of the distortion under different scenarios (DDSs) weighted by the probability under different scenarios (PDSs). We show analytically that DDS and PDS can be related to the virtual view position using quadratic/biquadratic models and linear models, respectively. Experimental results verify that the proposed model is capable of estimating the relationship between VVSD and the distance between reference and virtual views. Therefore, our model can be used to inform a reference view setup for capturing, or distortion at certain virtual view positions, when depth information is compressed.
A single chip universal cable set-top box/modem transceiver

Interactive digital cable services like video-on-demand or cable modems require quadrature amplitude modulation (QAM) and demodulation for the physical layer interface. Television service functions include access control or authorization and set-top box interaction. The transceiver IC is a monolithic mixed signal device that encompasses the complete digital communications interface, compliant with the ITU-TJ.83 Annex A/B European and North American standards. Two on-chip PLLs, referenced to a single crystal, derive all necessary timing signals. The IC is implemented in 4-metal, 1-poly 0.35 /spl mu/m CMOS technology.
Emission distribution of volatile organic compounds of semiconductor and photovoltaic (TFT-LCD) industries

For the emerging industrial technology industries, semiconductor and optoelectronics (TFT-LCD) industry, this study investigated the discharge of volatile organic compounds (VOCs) from industries in air, wastewater, and waste phases based on the mass balance theory. The whole plant emission factors for volatile organic compounds divided into two scenarios: a plant closed for the whole collection, including oven for a source. The findings of this study show that emissions are still unable to rule out the fugitive emissions may be, it should be consideration of the fugitive emissions in order to match the mass balance principle. For wafer fabrication and TFT-LCD manufacturing studied in this research, most of the organic substances produced during the process are discharged as waste (66.4 and 61.7%), followed by discharge through air pollution control facilities (about 8.41 and 9.9 %), wastewater discharge (about 5.33 and 5.48%), discharge through tailpipes (about 0.26 and 0.6 %), controllable emissions during the process (about 0.18 and 0.65 %), and the uncontrollable portion of emission (about 19.53 and 21.64 %). In order to reduce variability in emission estimation caused by errors in the detection, it is recommended that attention should be paid on the validness of sampling time. Sampling time should be adjusted according to each manufacturing process, and each sampling time should cover entire process. Furthermore, as a way of verifying its variability, multiple sets of samples should be taken at different time and averaged, with a view to minimize the effect of detection errors.
Towards Automatic Tagging for Web Services

Tagging technique is widely used to annotate objects in Web 2.0 applications. Tags can support web service understanding, categorizing and discovering, which are important tasks in a service-oriented software system. However, most of existing web services' tags are annotated manually. Manual tagging is time-consuming. In this paper, we propose a novel approach to tag web services automatically. Our approach consists of two tagging strategies, tag enriching and tag extraction. In the first strategy, we cluster web services using WSDL documents, and then we enrich tags for a service with the tags of other services in the same cluster. Considering our approach may not generate enough tags by tag enriching, we also extract tags from WSDL documents and related descriptions in the second step. To validate the effectiveness of our approach, a series of experiments are carried out based on web-scale web services. The experimental results show that our tagging method is effective, ensuring the number and quality of generated tags. We also show how to use tagging results to improve the performance of a web service search engine, which can prove that our work in this paper is useful and meaningful.
VMI coordination based on the inventory competitive products

During the studying of the supply chain benefits under VMI(Vendor Managed Inventory) environment with inventory competitive products, the separation of decision-making power between suppliers and retailers will lead to the revenue's declining of the whole supply chain. To solve this problem, a cost-sharing contract is proposed to strengthen the coordination and cooperation of the supply chain. With the cost-sharing contract, the retailers will undertake a part of the suppliers' product costs. The suppliers are willing to provide more products, and the suppliers, the retailers and the whole supply chain's profits will increase.
A location-sizing model for electric vehicle charging station deployment based on queuing theory

Imperfect electric vehicle charging infrastructure network has become a major obstacle for prompting the adoption of electric vehicles. Kuby (2005) considered the constraint of vehicle range, and developed a location model for alternative-fueling vehicles based on maximum flow -FRLM (flow - refueling location mode). In the plan of deploying an electric vehicle charging station network, not only should we consider the vehicle range, but also need to realize the queuing issue because of the number limitation of charging spots. Therefore, when we design a charging station network, we need to take the number of charging spots into consideration. In this paper, we extend the FRLM, combining with the queuing theory, and reformulate a new location-sizing model in a given largest waiting time that customers can accept. The location-sizing model optimally allocate the charging spots without exceed the given waiting time so as to maximize the total charging service. And we also conclude the different influence on the results of different factors via a series of numerical experiments, and give some advice for the developing direction of the electric car in the future.
Evolutionary game analysis on innovation strategy of enterprises

This paper studies how does the individual enterprise of the middle and large-sized enterprises clusters choose its own innovation strategy between independent innovation strategy and imitative innovation strategy and what effect does its choice have on itself and the whole society through evolutionary game theory. The conclusions reveal that on one hand, the government's most basic policy on encouraging enterprises to innovate is the sound system of intellectual property rights protection; on the other hand, the government may adjust the ratio of the enterprises which make independent innovation to the enterprises which make imitative innovation in the middle and large-sized enterprises clusters by tax policy, cost subsidies and so on, so as to make this innovation ratio more reasonable and more stable.
Monocular Long-Term Target Following on UAVs

In this paper, we investigate the challenging long-term visual tracking problem and its implementation on Unmanned Aerial Vehicles (UAVs). By exploiting the inherent correlation between Frequency tracker And Spatial detector, we propose a novel tracking algorithm, denoted as FAST. As can be theoretically and analytically shown, the superior performance of FAST originates from: 1) robustness – by transforming from frequency tracker to spatial detector, FAST owns comprehensive detector to cover consequential temporal variance/invariance information that inherently retained in tracker, 2) efficiency – the coarse-tofine redetection scheme avoids the training of extra classifier and exhaustive search of location and scale. Experiments testified on tracking benchmarks demonstrate the impressive performance of FAST. In particular, we successfully implement FAST on quadrotor platform to tackle with indoor and outdoor practical scenarios, achieving real-time, automatic, smooth, and long-term target following on UAVs.
Notice of Retraction The design of motor data acquisition and control system based on DSP

System designs the operation that has used the efficiency calculation ability to handle of resource and it in the rich flat of TMS320LF2407A DSP fully, carries out real time detection and control according to the operation machine without the brush of direct current; Based on DSP, digital type PID controller, through current regulator that regulates the occupying_space amplitude of PWM, adjusts inverter export voltage, realizes the control of motor rotational speed; With the photoelectric encoder and the incident management ware in DSP in coordination, realizes the measure of rotational speed for motor; With digital type temperature sensor, realizes the measure for motor winding temperature; Through OLED display, shows the winding temperature value and the rotational speed value of motor.
Research on calculation relation between stator slot leakage inductance and windings distributing for dual stator-winding machines

Two sets of winding share in the same slot and mutual leakage flux coupling exist for dual stator-winding machines. Calculating of slot leakage inductance is related with pitch and angle between two sets winding and distributing in slot. The existing calculating formulae can not be used directly and need to further research. In this paper, the analytical calculations of slot leakage inductance of dual stator-winding machine with different winding distributing structure are presented systematically; the relevant formulas of slot self-leakage inductance, mutual leakage inductance and different pitch for two sets stator-winding with the same turns are derived.
Violet Electroluminescence of AlInGaN–InGaN Multiquantum-Well Light-Emitting Diodes: Quantum-Confined Stark Effect and Heating Effect

Electroluminescence (EL) from AlInGaN-InGaN multiquantum-well violet light-emitting diodes is investigated as a function of forward bias. Two distinct regimes have been identified: 1) quantum-confined Stark effect at low and moderately high forward biases; 2) heating effect at high biases. In the different regimes, the low-temperature EL spectra exhibit different spectral features which are discussed in detail
Combining Exemplar-Based Approach and learning-Based Approach for Light Field Super-Resolution Using a Hybrid Imaging System

We propose a new method to super-resolve images captured by a hybrid light field system that consists of a standard light field camera and a high-resolution standard camera. The high-resolution image is taken as a reference to help with super-resolving the low-resolution light field images. Our method combines an exemplar-based algorithm with the state of-the-art single image super-resolution approach and draws on the strengths of both. Both quantitative and qualitative experiments show that our proposed method substantially outperforms existing methods on standard light field datasets in the challenging large parallax setting.
MILD: Multi-index hashing for appearance based loop closure detection

Loop Closure Detection (LCD) has been proved to be extremely useful in global consistent visual Simultaneously Localization and Mapping (SLAM) and appearance-based robot relocalization. Methods exploiting binary features in bag of words representation have recently gained a lot of popularity for their efficiency, but suffer from low recall due to the inherent drawback that high dimensional binary feature descriptors lack well-defined centroids. In this paper, we propose a realtime LCD approach called MILD (Multi-Index Hashing for Loop closure Detection), in which image similarity is measured by feature matching directly to achieve high recall without introducing extra computational complexity with the aid of Multi-Index Hashing (MIH). A theoretical analysis of the approximate image similarity measurement using MIH is presented, which reveals the trade-off between efficiency and accuracy from a probabilistic perspective. Extensive comparisons with state-of-the-art LCD methods demonstrate the superiority of MILD in both efficiency and accuracy.