nils-herrmann/clean_scirepeval huggingface dataset:
PINOCCHIO: Probabilistic Influence-Based Location Selection over Moving Objects

The location selection (LS) problem aims to mine the optimal location to place a new facility from a set of candidates such that the benefit or influence on a given set of objects is maximized. State-of-the-art LS techniques assume each object is static and can only be influenced by a single facility. However, in reality, objects (e.g., people, vehicles) are mobile and are influenced by multiple facilities. Consequently, classical LS solutions fail to select locations accurately. In this work, we introduce a generalized LS problem called PRIME-LS which takes mobility and probability factors into consideration to address the aforementioned limitations. To solve the problem, we propose an algorithm called PINOCCHIO, which leverages two pruning rules based on a novel distance measure, and further extend it by incorporating two optimization strategies. Experimental study over two real-world datasets demonstrates superiority of our framework in comparison to state-of-the-art LS techniques.
Audio-Visual Recognition System with Intra-Modal Fusion

In this paper, a new multimodal biometric recognition system based on feature fusion is proposed to increase the robustness and circumvention of conventional multimodal recognition system. The feature sets originating from the output of the visual and audio feature extraction systems are fused and being classified by RBF neural network. Other than that, 2DPCA is proposed to work in conjunction with LDA to further increase the recognition performance of the visual recognition system. The experimental result shows that the proposed system achieves a higher recognition rate as compared to the conventional multimodal recognition system. Besides, we also show that the 2DPCA+LDA achieves a higher recognition rate as compared with PCA, PCA+LDA and 2DPCA.
$L_{1}$ -Norm Low-Rank Matrix Factorization by Variational Bayesian Method

The L1-norm low-rank matrix factorization (LRMF) has been attracting much attention due to its wide applications to computer vision and pattern recognition. In this paper, we construct a new hierarchical Bayesian generative model for the L1-norm LRMF problem and design a mean-field variational method to automatically infer all the parameters involved in the model by closed-form equations. The variational Bayesian inference in the proposed method can be understood as solving a weighted LRMF problem with different weights on matrix elements based on their significance and with L2-regularization penalties on parameters. Throughout the inference process of our method, the weights imposed on the matrix elements can be adaptively fitted so that the adverse influence of noises and outliers embedded in data can be largely suppressed, and the parameters can be appropriately regularized so that the generalization capability of the problem can be statistically guaranteed. The robustness and the efficiency of the proposed method are substantiated by a series of synthetic and real data experiments, as compared with the state-of-the-art L1-norm LRMF methods. Especially, attributed to the intrinsic generalization capability of the Bayesian methodology, our method can always predict better on the unobserved ground truth data than existing methods.
Comparison of electrical tree propagation in epoxy composite insulation for WTG under repetitive impulse and AC stresses

The composite insulations consisting of epoxy resin vanish and barrier material are widely used in the insulation system of wind turbine generator (WTG). The insulation system would withstand either the repetitive impulse or the AC stress, and electrical treeing is thought as one of the main contributing factors to the degradation of polymers. In this paper, electrical tree tests in composite insulation system under the repetitive impulse voltage as well as AC voltage were carried out. The polyimide film, mica powder tape strengthened with polyester film and mica powder tape strengthened with glass fiber were chosen as the barrier materials, respectively. In order to make comparison, the tests were conducted under the same peak value of 10 kV for these two types of voltage waveform. The microscopic photographs of electrical tree inception and propagation were recorded during the whole treeing processes, in particular near the barrier interface. The results indicated that under the repetitive impulse voltage, by comparing of AC voltage, the electrical tree performed much shorter inception time, greatly quicker radial growth rate, slower extension rate along the barrier interface and further transverse extension length. Also the insulation system filled by the barrier of mica powder tape strengthened with glass fiber behaved more excellent than other barrier materials in endurance of electrical tree under both AC and the repetitive impulse voltage.
Design and Implementation of the Accumulating Algorithm of Digital Signal Averager

To satisfy the need of on-board accumulation in time-of-fLight mass spectrometer (TOF-MS) appLications, the paper presents an accumulation algorithm in FPGA based on PipeLine and ping-pong operation. The accumulation algorithm is verified on a signal averager hardware platform which takes XILiNX VIRTEX-5 FPGA as the processing core. The caChe module, on-chip accumulation, and USB transmission module is implemented. Testing results show that the range of time measurement is 32us, the minimum time resolution is 333ps and signal to noise ratio (SNR) is improved effectively. The accumulation algorithm is stable and reLiable, so it can be widely used in the measurement of high-resolution time interval and pulse ampLitude.
Mathematical Models of the Purkinje Fibre Cell and Simulations

The purkinje fibre cell is an important biological system where various nonlinear processes interact to conduct electrical excitation which maintains the normal physiological status of the purkinje fibre and even the ventricle. The complex processes can be quantitatively described by the mathematical model. Therefore, it is of great theoretical value and profound realistic significance to research on mathematical models of the purkinje cell, which consequently in depth elucidates the mechanism of the purkinje fiber clear in microcosmic fields. This template, With the rapid development of the computing technology , computational models of the single cell are increasingly widely used in the research on the heart in the biological field. The purkinje fibre is an important tissue in the heart, and it dominates receiving and conducting excitation. In addition, the excitation conduction of the ventricle is considered mainly deriving from the purkinje fibre. Therefore, besides theoretical significance, it has also application value to research on the purkinje fibre cell, even for the further study on the heart, by building mathematical models and reproducing the active procedure. In this paper, the purkinje fibre and some relevant concepts are introduced first, and then two typical models of the purkinje fibre cell are focused on, especially their mechnisms, features and the simulations. At last the future research strategies and trends are discussed.
Sliding mode control using switching gain for a vehicle flexible manipulator

This paper presents the dynamic model and the application of a sliding mode control using switching gain for trajectory tracking of a hydraulic-driven rigid-flexible manipulator. Firstly, the dynamic model of the manipulator is derived by using the Lagrange equation and assumed mode method. This paper gives a description of the uncertainties of the system. Secondly, the paper considers these uncertainties and finds a sliding mode control law using switching gain. The stability is shown by the Lyapunov theory. To weaken the chattering of control signal, saturation function is used to replace sign function. Finally, simulation results present that good tracking performances and the vibration suppression are achieved, also, the chattering of control signal is weakened.
Chaos-mutation-based Particle Swarm Optimizer for dynamic environment

The paper presents a modified particle swarm optimization (PSO) for the dynamic environment. The modified method provides a detected position for each particle, and applies the detected positions of some randomly sampled particles in the swarm to detect the dynamic change of the environment. If the environment has been detected to change, chaos mutation technology will be introduced to respond to the change in time. After that, an improved chaos mutation guided by swarm diversity has been developed to improve the responding efficiency. The proposed method has been applied to the dynamic environment constructed by the parabola function. The simulation results show the improved PSO can detect changes more accurately and respond to the changes of the environment more quickly, and has been a robust technique for the dynamic optimization.
Prospect and state on power system low frequency oscillation and the prospect

From the four aspects of low frequency oscillation principle, analytical methods, affecting factors, and control policy, the author summaries the study status of low frequency oscillation and analyses the progress research in the field. According to the actual power system in the new characteristics of low frequency oscillation appear, and puts forward the mechanism of low frequency oscillation problem, namely: low frequency oscillation research needs to solve problems. In addition to this, combining with the accomplishment in others fields, such as: control subject, Structural power subject, electronic technology etc, the paper is concerned about new thinking about analytical methods and control policy for low frequency oscillation, such as: modal analysis method, synchronized phasor measurement technique, energy storage technique.
Design and implementation of SAW reader receiving circuit

Surface acoustic wave (SAW) devices find numerous applications in sensor fields, as well as in Radio Frequency Identifications (RFID). SAW RFID system works similar to conventional radar system. The reader of SAW RFID system is based on delay line device and time-domain interrogation. The SAW Reader is composed of transmitting circuit and receiving circuit. The transmission circuit sends inquiries pulse to the SAW tag, and the receiving circuit demodulates echo signal, samples and stores the demodulated signal. The receiving circuit is designed and fabricated with IQ demodulator chip, low-noise baseband amplifier, ADC driver, high-speed ADC, FPGA and SRAM. Measured results obtained by a built reader and SAW tags bonded to the antenna for an SAW RFID system are given and analyzed.
Decoding dynamic auditory attention during naturalistic experience

Equipped with selective auditory attention (SAA), people are able to rapidly shift their attention to auditory events of interest. Although abstract neuroimaging paradigms are fundamental for exploring the neural basis of SAA, whether those findings are valid in a more naturalistic condition and how the types of auditory stimuli affect SAA are largely unknown. Here we propose a brain decoding study to explore SAA using naturalistic auditory excerpts in three categories (pop music, classical music and speech) as stimuli for functional magnetic resonance imaging (fMRI). We adopted a computational auditory attention model to estimate attentional allocation for the excerpts. We then extracted brain activity features from fMRI data via sparse representation and used them to decode the auditory attention allocation. Our experimental results showed that the primary auditory cortex was commonly involved in the attentional processing of the three categories and the contribution of distinct brain networks to the decoding model in each group. Our study on the one hand provides novel insights into neural SAA in naturalistic experience, on the other hand shows the possibility of leveraging neuroimaging studies by integrating naturalistic stimuli and computational auditory information processing approaches.
Propagation of love-type waves in piezoelectric layered systems of cubic crystals with interfacial imperfections

Propagation of Love-type waves in piezoelectric layered structure consisting of a piezoelectric cubic crystal and an elastic substrate is studied. The interface between the two constituents is assumed to be mechanically compliant and dielectrically weakly conducting. The upper surface of the layered system is subjected to two kinds of boundary conditions, i.e. the electrically open and electrically shorted. The dynamic equations and the constitutive relations of piezoelectric cubic crystals with different cut orientations are firstly derived. The dispersion relations for the electrically open or short circuits are obtained by taking into account of the mechanical and electrical imperfections. The influences of interfacial imperfections, electrical boundary conditions and cut angles of piezoelectric cubic crystals on phase velocities are illustrated through numerical examples. It is found that the phase velocity for the electrically open case is slightly larger than that for the electrically shorted case. The mechanical imperfection has a great effect on the dispersion curves and then lowers the phase velocities, while the electrical imperfection makes the phase velocities larger. Moreover, the dispersion relations are more sensitive to the mechanical imperfection compared with the electrical imperfection.
Research and Realization of Highway Project Management Information System Based on WebGIS

To meet the increased demands for the visual management and analysis of highway project management information, it is necessary to construct a highway project management information system based on WebGIS technology. According to the requirement analysis, highway project management information system is designed and established by utilizing WebGIS and commercial database management technology. The system is divided into four subsystems, including Web geographical information, database management, office management and highway business management. The mixed framework of Client/Server(C/S) and Browser/Server (B/S) is adopted, and the system is developed on the basis of ArcIMS. In the system, some professional functions, such as measure payment, contract management and schedule management, are realized, and some WebGIS functions, which include query, cruise and graph-dealing are also realized. The system is a management platform to improve management efficiency of highway project and has a prospective future in highway project management.
Structured light stripe boundary detection using steerable filters

Accurate stripe boundary detection is crucial for stripe coded structured light based 3-D reconstruction. In this paper, we propose an improved stripe boundary location scheme based on steerable filters. In the proposed scheme, adaptive median filter is first used to smooth the input image by suppressing impulsive and non-impulsive noise. Because of their better orientation selectivity than classical edge operators, steerable filters are further adopted to extract the edge features. Nonmaximum suppression and hysteresis thresholding are finally utilized to determine the edge points. Experimental results show that the proposed scheme is very effective for structured light stripe boundary detection.
Correlative Linear Neighborhood Propagation for Video Annotation

Recently, graph-based semisupervised learning methods have been widely applied in multimedia research area. However, for the application of video semantic annotation in multilabel setting, these methods neglect an important characteristic of video data: The semantic concepts appear correlatively and interact naturally with each other rather than exist in isolation. In this paper, we adapt this semantic correlation into graph-based semisupervised learning and propose a novel method named correlative linear neighborhood propagation to improve annotation performance. Experiments conducted on the Text REtrieval Conference VIDeo retrieval evaluation data set have demonstrated its effectiveness and efficiency.
An Optimization Strategy for Evolutionary Testing Based on Cataclysm

Testing (ET) is an effective test case generation technique which uses some meta-heuristic search algorithm, especially genetic algorithm, to generate test cases automatically. However, the prematurity of the population may decrease the performance of ET. To solve this problem, this paper presents a novel optimization strategy based on cataclysm. It monitors the diversity of population during the evolution process of ET. Once the prematurity is detected, it will use the operator, cataclysm, to recover the diversity of the population. The experimental results show that the proposed strategy can improve the performance of ET evidently.
Investigations of surface flashover of insulators in vacuum and applications of vacuum insulators in pulsed power system

This paper reviews surface flashover research of vacuum insulators. 'Bottle-neck' problem is discussed in the paper. Points out the relationship between scientific research and engineering application. Reviews the theoretical research results of surface flashover and describes fundamental experiment research methods. Then describes the applications of vacuum insulator in LIAs and Z-Pinch devices, respectively. And gives some examples. Especially, a few key points in VIS designing are listed and discussed.
Active long-period waveguide grating and its application in Er-Yb co-doped waveguide amplifier

The performance of active long-period waveguide grating based on Er-Yb codoped phosphate glass is studied by using coupled-mode theory. The transmission spectra of the gratings show distinct band-rejection at specific wavelengths, known as the resonance wavelengths. The phase-matching curves of the gratings, which govern the relationship between the resonance wavelength and the grating pitch, is investigated in deatail. As an application in gain equalizer, the effects of the transmission spectra of the gratings on the amplified spontaneous emission (ASE) spectrum of Er-Yb codoped phosphate glass waveguide amplifiers are discussed theoretically. It's demonstrated that the flatness of about 1 dB is achieved over a bandwidth of about 30 nm.
How Bad is Single-Path Routing

This paper investigates the network performance loss of using only single-path routing when multiple paths are available. The performance metric is the aggregate utility achieved by the joint optimization of congestion control and routing. As computing the exact loss for a general network topology is NP-hard, we develop analytical bounds on this "cost of not splitting". Our bound is independent of the number of source-destination pairs when the latter one is larger than the number of links in a network. We also propose a vertex projection method and combine it with branch-and-bound to provide progressively tighter bounds on the performance loss. Numerical examples are used to show the effectiveness of our approximation technique.
Microwave plasmonic waveguides and devices

The plasmonic waveguides composed of uniform ultrathin corrugated metallic strip can support and propagate spoof surface plasmon polaritons (SSPPs) with high confinement and efficiency. However, when the surface impedance of the plasmonic waveguides are modulated periodically by using non-uniform corrugated metallic strip, then the SSPPs can be converted to the radiating leaky waves, whose main beam steers continuously as frequency changes. Furthermore, by adding active components into the plasmonic waveguide, the characteristics of the SSPPs can be controlled in real time, so the devices with different functions can be realized by using only a single electrically controllable waveguide.
Pinched hysteresis loops and symmetry

Pinched hysteresis loops (PHLs) can be clockwise, counter-clockwise, self-crossing and non-self-crossing. While it is difficult to differentiate these features from the measured PHLs on the oscilloscope, this study shows that PHL exhibits different forms of symmetry. Self-crossing PHLs display reflection symmetry and non-self-crossing ones display point symmetry. These features are confirmed with practical measurements based on the memristor characteristics of Hewlett-Packard (self-crossing) and of a discharge lamp (non-self-crossing). It is shown that the symmetry graph is a useful tool to identify the features of PHLs.
Data-Driven Affective Filtering for Images and Videos

In this paper, a novel system is developed for synthesizing user-specified emotions onto arbitrary input images or videos. Other than defining the visual affective model based on empirical knowledge, a data-driven learning framework is proposed to extract the emotion-related knowledge from a set of emotion-annotated images. In a divide-and-conquer manner, the images are clustered into several emotion-specific scene subgroups for model learning. The visual affection is modeled with Gaussian mixture models based on color features of local image patches. For the purpose of affective filtering, the feature distribution of the target is aligned to the statistical model constructed from the emotion-specific scene subgroup, through a piecewise linear transformation. The transformation is derived through a learning algorithm, which is developed with the incorporation of a regularization term enforcing spatial smoothness, edge preservation, and temporal smoothness for the derived image or video transformation. Optimization of the objective function is sought via standard nonlinear method. Intensive experimental results and user studies demonstrate that the proposed affective filtering framework can yield effective and natural effects for images and videos.
Thermal layout optimization of stacked chips based on hybrid algorithm of simulated annealing and particle swarm

As the density of chip package increases, the thermal layout optimization of stacked chips has become more and more important. The thermal layout optimization of stacked chips is studied in this paper. Firstly, a hybrid algorithm of simulated annealing and particle swarm (SA-PSO) is proposed for thermal layout optimization. Secondly, the fitness function is obtained based on thermal superposition model and heat conduction equation. Then the temperature of chips is chosen as the evaluation index and the corresponding optimization scheme is achieved. Finally, finite element analysis (FEA) software is used to evaluate the thermal field distribution of stacked chips and the result shows the temperatures of stacked chips are lowered after optimization. Thus, we can prove that the chip layout optimization algorithm proposed in this paper is effective and robust in thermal layout optimization of stacked chips.
Time synchronization for marine controlled source electromagnetic recorder

As an effective method to improve the successful rate of marine oil and gas drilling, marine controlled-source electromagnetic method requires acquisition of many marine controlled-source electromagnetic receivers which record electromagnetic data on the same time axis. However, receiver works on the seabed where GPS signal is shielded and relatively constant temperatures, this will bring about a consequence that the land synchronization method could not be implemented. To get the marine receivers which are time synchronization, we combine the GPS and OCXO (Oven Controlled Crystal Oscillator), and then calculate time drift. This method makes time drift down minimum by time drift compensation between different receivers.