nils-herrmann/clean_scirepeval huggingface dataset:
A simulation study on two-dimensional patterns with different post-OPC mask variations

Due to the existence of diffraction, for the same printing target pattern, there may exist different mask patterns. With the introduction of source-mask optimization (SMO) method, such variation can be extensively explored and an optimum pattern can be found up to a given set of criteria. However, without the SMO, when the illumination condition is set, it is entirely up to the quality of the optical proximity correction (OPC) to set up a suitable final mask to achieve acceptable overlapping process windows. In this paper, we attempt to understand the underlying physical or optical mechanism with several representative patterns. Such mechanism includes how the coherent length under a given illumination condition contributes to the difference in process window for mask variations even that such mask variation may result in the same best focus and best dose printing profiles. We will also explore the implications to the design rule restrictions.
A spatial data model and its application in 3D geological modeling

The spatial data model is one of the core technologies of 3D geological modeling. The expression and precision of the model directly affect the effects of the visualization and application of geological body. A framework is proposed consisting of model definition, model classification and design method by classifying, comparing and analyzing for spatial data model. The data structure and topological relationship of the typical spatial data model are proposed, which are suitable for geological simulation. The experimental results show that the method designed in this paper can accurately represent the phenomena of complex geology and improve the precision and quality of 3D models.
Preserving Friendly-Correlations in Uncertain Graphs Using Differential Privacy

It is a challenging problem to preserve the friendly-correlations between individuals when publishing social-network data. To alleviate this problem, uncertain graph has been presented recently. The main idea of uncertain graph is converting an original graph into an uncertain form, where the correlations between individuals is an associated probability. However, the existing methods of uncertain graph lack rigorous guarantees of privacy and rely on the assumption of adversary's knowledge. In this paper we first introduced a general model for constructing uncertain graphs. Then, we proposed an algorithm under the model which is based on differential privacy and made an analysis of algorithm's privacy. Our algorithm provides rigorous guarantees of privacy and against the background knowledge attack. Finally, the algorithm we proposed satisfied differential privacy and showed feasibility in the experiments. And then, we compare our algorithm with (k, ε)-obfuscation algorithm in terms of data utility, the importance of nodes for network in our algorithm is similar to (k, ε)-obfuscation algorithm.
Minimum spanning forest with embedded edge inconsistency measurement for color-guided depth map upsampling

Color-guided depth map up-sampling, such as Markov-Random-Field-based (MRF-based) methods, is a popular depth map enhancement solution, which normally assumes edge consistency between color image and corresponding depth map. It calculates the coefficients of smoothness term in MRF according to such assumption. However, such consistency is not always true which leads to texture-copying artifacts and blurring depth edges. In this paper, we propose a novel coefficient computing scheme for smoothness term in MRF which is based on the distance between pixels in the Minimum Spanning Trees (Forest) to better preserve depth edges. The explicit edge inconsistency measurement is embedded into weights of edges in Minimum Spanning Trees, which significantly mitigates texture-copying artifacts. The proposed method is evaluated on Middlebury datasets and ToF-Mark datasets which demonstrates improved results compared with state-of-the-art methods.
A new adaptive control method for a class of feedforward nonlinear systems with unknown growth rate

A new adaptive control method based on high-gain scaling technique is presented for a class of feedforward nonlinear systems with unknown growth rate. With this method, the global stabilization problem of the studied system is solved. Moreover, A key feature of the proposed algorithm is that it employs no parameter estimation. It is shown that all the signals of the closed-loop system are globally bounded and the system states converge to zero asymptotically. A simulation example is provided to demonstrate the effectiveness of the theory.
Text topic mining based on LDA and co-occurrence theory

Based on the introduction to research background of stem cell and the significance of topic analysis of stem cell, this paper analyzed the topic analysis in co-occurrence theory and LDA. LDA and co-occurrence theory were used to determine the text topics of stem cell research literatures from 2006-2011 in PubMed. After stem cell research topics were obtained, they were analyzed in terms of topic label, topic research content and interrelation between topics. In the end, current deficiencies of LDA and future study are proposed.
Further Results on Global Asymptotic Regulation Control for a Class of Nonlinear Systems With iISS Inverse Dynamics

This note studies the global asymptotic regulation problem for a class of nonlinear systems with integral input-to-state stable (iISS) inverse dynamics by output feedback. It does not require a priori knowledge of the sign of the high-frequency gain. The considered system represents more general classes of nonlinear uncertain systems. The novelty of this note lies in the observer whose gain comes from a time-varying Riccati differential equation.
Inverse reconstruction algorithm using Radon space Gibbs constrain for low SNR measurements

In this paper, a new iterative method more suitable for low signal to noise (SNR) measurements was proposed. Different from conventional MAP method, we take the projection space as a Gibbs field and the penalty term we used was defined in projection space. Filtering and back-projection step were applied to generate the penalty. The spatial resolution of our method was studied and we furthermore modified our method to obtain nearly spatial invariant resolution. Future works were discussed at the end of the paper.
Blind Source Separation for Convolutive Mixtures and Its Application to Machine Vibrations

Blind source separation is a signal processing method based on independent component analysis, its aim is to separate the source signals from a set of observations by assuming the signals independently. This paper reviews the general concept of BSS, especially the theory for convolutive mixtures, the model of convolutive mixture and two deconvolution structures: Recursive and Direct structures, then presents a BSS algorithm for convolutive mixtures based on RCTE threshold control criteria, the simulation testing points out good performance for simulated mixtures.
Blind adaptive beamforming for cyclostationary signals

In order to increase the capacity and to suppress co-channel interference in digital communication systems such as mobile cellular and mobile satellite communication systems, the employment of array beamforming techniques has been proposed. However, conventional beamforming methods are not suitable for such cases since these methods were mainly developed for signal detection and direction-of-arrival (DOA) estimation in radar and sonar. In this paper, utilizing the cyclostationary properties of communication signals, we propose three blind cyclic adaptive beamforming (CAB) algorithms and their fast implementation schemes. Several numerical examples are included. These results demonstrate that the CAB algorithms are good candidates for spatial reuse of frequency spectrum in digital mobile communication systems of the next generation.
Low Loss, High Extinction Ration and Ultra-Compact Plasmonic Polarization Beam Splitter

In this letter, an ultra-compact plasmonic polarization beam splitter (PBS) is proposed and investigated by numerical simulations using the finite element method. The PBS is based on a three-core plasmonic directional coupler, which uses a long range surface plasmon polaritons waveguide as the middle waveguide to achieve polarization selective coupling. The calculations show that with proper structural parameters, the PBS with low insertion losses of 0.17 and 0.25 dB for TE and TM polarizations, respectively, and high extinction ratios of 20.17 and 19.83 dB for TE and TM polarizations, respectively, can be realized at a telecommunication wavelength of 1550 nm. Furthermore, an insertion loss and an extinction ratio > 14 dB can be realized across the entire C-band for both TE and TM polarizations.
Spectral analysis of heart rate variability and RVLM neuronal discharge in rats

Spectral analysis was used to study the coherence between the blood pressure (BP) and neuronal discharge (ND), and between the heart rate variability (HRV) and neuronal discharge variability (NDV) in the rostral ventrolateral medulla (RVLM) in rats. The discharges of 28 neurons in the RVLM were recorded. The results revealed that: (1) there is an obvious coherence (k/sup 2/=0.82/spl plusmn/0.18) between ND and BP on spectrum. These neurons were classified as cardiac-related (n=18) if the coherence value was k/sup 2//spl ges/0.80; (2) there is also an evident coherence (k/sup 2/=0.78/spl plusmn/0.13) between NDV and high frequency (HF) component of HRV. These neurons might be HRV-related (n=14) if the coherence value was k/sup 2//spl ges/0.80. It indicates the integration of cardiac cycle and respiratory rhythm in the RVLM that might be important in cardiorespiratory homeostasis.
Finite time tracking control of induction motor based on TSM controller

The induction motor speed control systems with multi-variable, nonlinear and strong coupled is considered. The modeled system is divided into two second-order nonlinear subsystems including the angular speed subsystem and the rotor flux linkage one. The non-singular terminal sliding mode (NTSM) control scheme with finite time convergence is used to the design of the controller. The global stability of the system is guaranteed and the system states can accurately track the reference signal in finite time. Simulation result shows the effectiveness of the control scheme and the good static and dynamic performance by using the proposed method.
A novel starting control for sensorless three-phase permanent-magnet brushless DC motor

The paper analyses the SVPWM control schema of three-phase inverter employing 120° switch-on mode, proposes a starting control method combined the SVPWM control schema with current regulation adopting the two-point comparator for a sensorless three-phase permanent-magnet (PM) brushless DC (BLDC) motor, establishes the simulation model of the starting control system in Matlab / Simlink environment, and implements the proposed starting control system through digital simulation. Simulation results verify that the proposed starting method can not only control the starting current effectively but also improve the open-loop starting performance of the BLDC motor.
Effect of nano structure anhydrous agnesium carbonateon fire-retardant performance of PLA/BF composites

PLA/BF composites,which are extremely flammable, must be carried out fire-retardant processing. However, traditional organic flame retardants release certain amount of pollutant to the environment, and inorganic flame retardants require more addition,which influenced the mechanical properties of composites. Therefore, nano inorganic flame retardants, which have some characteristics of small size, uniform shape and high specific surface area, can bring good flame-retardant effect with relatively few addition. Meanwhile, it can enhance the interaction of composites interface, and disperse more evenly in polylactic acid (PLA)matrix. Furthermore, it has light influence on the physical mechanical properties. In this study, nano structure anhydrous magnesium carbonate is used as flame retardant, Cone Calorimeter and Dynamic Thermal Mechanical Analyzer are adopted for studying the fire-retardant properties and the dynamic thermodynamic parameters of the PLA/BF composites, respectively. Results show that nano structure anhydrous magnesium carbonate flame retardant have good fire-retardant performance for the PLA/BF composites, considering practicality and economy, its ideal addition is 5%.
Wavelet neural network prediction algorithm based on improved implicit generalized predictive control

In this paper, the wavelet neural network (WNN) is used to predict the delay period, and combined with implicit generalized predictive control to delay compensation for the networked control system. The random delay in the networked control system (NCS) leads to the performance degradation of the system, in order to solve this problem, a wavelet neural network is used to establish the prediction model of the random delay in the NCS, and the algorithm is used to predict Delay period combined with implicit generalized predictive control algorithm to compensate for the NCS random delay. The simulation results show that the wavelet neural network algorithm has higher prediction accuracy for the random delay period, and at the same time makes the network system have good signal tracking ability and improves the control performance of the traditional generalized predictive control algorithm.
Hardware design of ADSP-BF548 based portable patient monitor

This paper studies on hardware design of a novel patient monitor based on one ADSP-BF548 blackfin dsp. The NIBP, 12-lead ECG, SPO2 and body temperature functions are successfully implemented. A 6.4 inch TFT LCD with a touch screen is used as GUI output to display all monitor curves and parameters. Through the convergent capabilities of the blackfin dsp, the patient moitor can store data into NAND FLASH and SD card. The Ethernet, USB and WCDMA communication functions are also realized. Another advantage of this design is the powerful DSP computation performance which can guarantee more complex algorithms into one processor system.
Effect of surface modifiers on mechanical properties of wood fibre-reinforced biodegradable composites

Different surface modifiers (stearine acid and titanate coupling agent) were used to modify wood fibers. Effects of surface modified wood fibres on mechanical properties ( tensile strength and impact strength) of fibre-reinforced biodegradable composites were studied,and the tensile fracture surfaces and the interfacial adhesion of composites were examined by scanning electron microscopy,interfacial bonding mechanisms of the composites were explored,the law of change reasones of mechanical properties were analyzed. Results showed that the tensile strength and impact strength of composites improved greatly by adding stearine acid and titanate coupling agent,treatment effect of titanate coupling agent was better than that of stearine acid.
The Molecular Dynamics Simulation of Monocrystal Carbon, Silicon and Germanium Thermal Conductivity

In this paper the thermal conductivities of monocrystal carbon, silicon, and germanium nanometer thin film are simulated respectively using non-equilibrium molecular dynamics (NEMD) method and corresponding Tersoff potential energy function. The simulation results indicate that the thermal conductivities of those nanometer thin films are obviously lower than the corresponding thermal conductivities of their bulk crystals under the same temperature. The thermal conductivities increase with the increasing of thin film thickness, and the conductivities have an approximately linear relationship with thickness of the thin films. The curve slope of carbon thermal conductivity is larger than that of silicon and germanium. The calculation results of thermal conductivities demonstrate distinct size effect. In normal direction, the thin film thermal conductivities of carbon, silicon and germanium crystals decline with the increasing of temperature, and the declining degree steps down in the sequence of carbon, silicon and germanium
Finite time convergence controller design for nonholonomic systems and its applications

A design scheme of the finite time convergence controller is given for nonholonomic systems with chained form. The relay switching technique and the terminal sliding mode control method with finite time convergence are used to the design of the controller. The global stability is guaranteed and the system states converge to the origin in finite time. Finally, the parking problem for the mobile robot of unicycle type in the presence of parametric uncertainties is addressed and its finite time convergence controller is designed by use of the proposed method. A simulation result is given to illustrate the application of the given method.
Information flow simulation design for launch vehicle

Information flow simulation is an important tool for information transmission and routing design of launch vehicles. An information flow simulation design method is presented in this paper, which features simpler framework and higher efficiency with compared to commonly used methods. Firstly, the launch mission is divided into different mission profiles. Then the generation and transmission of information are simulated on each mission profile. All the possibilities of routing are included in simulation and the failures can be injected according to failure rate of instruments. A multi-index comprehensive evaluation method is finally proposed based on neural network technique, which combines the advantages of both subjective and objective weighting methods. The effectiveness and high reliability of the presented design method is demonstrated based on the experimental results on certain solid-fuel launch vehicle.
Output feedback stabilization of nonholonomic systems with unmeasured dynamics and nonlinear drifts

This paper studies the problem of output feedback stabilization for a class of more general nonholonomic systems whose nonlinear drifts are polynomially bounded by linear terms and high order terms of unmeasured states. An output feedback controller is obtained applying the backstepping approach and the dual observer method. The homogenous theory is also utilized in the recursive process. Together with a switching control scheme, the designed controller guarantees that the closed-loop system is output feedback globally asymptotically stabilized and the states converge to zero asymptotically. A simulation example is provided to illustrate the validness of the proposed approach.
The research and implementation of interfacing based on PCI express

PCI Express is rapidly establishing itself as the successor to PCI, which provides higher performance, increased flexibility, and scalability for next-generation systems. FPGA offers a flexible solution for PCI Express compared with ASIC. Using IP Core and designing a DMA module in FPGA, this paper implemented a high-performance PCI Express system. IP Core handles the protocols defined by PCI Express specification. DMA module accelerates the transmission between FPGA and PC memory, sufficiently exploiting PCI Express bus bandwidth. This article proposes and achieves a PCI Express system having DMA transfer ability and emphatically describes the design of the DMA engine in system-logic, in addition to the corresponding Windows WDM driver and GUI application. The result of performance test is presented finally.
Microarray BASICA: background adjustment, segmentation, image compression and analysis of microarray images

This paper presents Microarray BASICA: an integrated image processing tool for background adjustment, segmentation, image compression and analysis of microarray images. BASICA uses the fast Mann-Whitney test-based algorithm introduced in J. Hua et al., (2002) to segment microarray images, and post-processing to eliminate the segmentation irregularities. The segmentation results, along with the foreground and background intensities obtained with background adjustment, are then used for the independent compression of foreground and background. We introduce a new distortion measure for microarray image compression and devise a coding scheme by modifying the object-based embedded block coding with optimized truncation (object-based EBCOT) algorithm J. Hua et al., (2002) to achieve optimal rate-distortion performance in lossy coding while still maintaining outstanding lossless compression performance. Experimental results show that BASICA can extract sufficiently accurate genetic information at bitrates as low as 43bpp.
Estimation of the directions of arrival of signals in unknown correlated noise. I. The MAP approach and its implementation

The authors propose a method of direction of arrival (DOA) estimation of signals in the presence of noise whose covariance matrix is unknown and arbitrary, other than being positive definite. They examine the projection of the data onto the noise subspace. The conditional probability density function (PDF) of the projected data given the signal parameters and the unknown projected noise covariance matrix is first formed. The a posteriori PDF of the signal parameters alone is then obtained by assigning a noninformative a priori PDF to the unknown noise covariance matrix and integrating out this quantity. A simple criterion for the maximum a posteriori (MAP) estimate of the DOAs of the signals is established. Some properties of this criterion are discussed, and an efficient numerical algorithm for the implementation of this criterion is developed. The advantage of this method is that the noise covariance matrix does not have to be known, nor must it be estimated.
Automated chromosome classification using wavelet-based band pattern descriptors

Automated chromosome classification has been an important pattern recognition problem for decades. Numerous attempts were made in the past to characterize chromosome band patterns as part of the feature description vector. In this paper we describe a recent study to employ wavelet packets as basis function sets to compute chromosome band pattern features. A total of 28 wavelet packet basis function sets were evaluated in this study. The experimental results are presented and compared with those currently best-performing method on two benchmark chromosome datasets.
Notice of RetractionEvaluating instructors' performance based on Set Pair Analysis

This paper evaluates the instructors' performance with the identical degree analysis based on Set Pair Analysis (SPA) principles. And it puts forward an index system and reference scale and discusses the characteristics of applying the index model as well. This method can objectively evaluate the system to determine the weight of each index, easy to handle non-uniform dimension between the various indices. It has already been used in practice to evaluate instructors' performance, and the result shows it is quite effective.
Annealing Effect on Structural, Functional, and Device Properties of Flexible ZnO Acoustic Wave Sensors Based on Commercially Available Al Foil

This paper reports post-annealing of zinc oxide (ZnO) films on flexible foil substrates in order to improve the functional and acoustic wave sensing performance. ZnO films of 5 μm thick were deposited onto aluminum foils (50 μm thick) using magnetron sputtering and then annealed in air at different temperatures between 300 °C and 500 °C. Effects of postannealing on structural, optical, and device properties of the ZnO films and ZnO/Al foil acoustic wave devices were investigated. A temperature of 350 °C was identified as the optimized annealing temperature, which resulted in good light transmission, improved crystallinity, reduced film stress/defects, and increased amplitude of reflection signals of both Lamb and Rayleigh waves. The annealed ZnO/Al acoustic wave devices demonstrated a large temperature coefficient of frequency and a good linearity, revealing the potential for precise temperature sensing.