nils-herrmann/clean_scirepeval huggingface dataset:
Notice of RetractionStudy on Steam Technology for Removing Oleoresin from Masson Pine Wood by Energy Management

The technology for removing oleoresin from masson pine wood without waste water is an great market demand. What is worse is that the current consumption of skim a lot of energy technology.The result is as follows: (1)The influence of the sulfur addition on the quantity of dissolved resin is remarkable.The influence of the other factors is not remarkable. (2) The ideal deresination technology is: The sulfur addition is 1-4%, the steaming time is 10-12 h, the Na2S2O4middot2H2O concentration is 3-5%.
Automatic Reconfigurable System-on-Chip design with run-time hardware/software partitioning

Reconfigurable System-on-Chip (RSoC) is a promising alternative to deliver both flexibility and performance at the same time, and also a technical solution looking to the future needs of embedded applications. But the complex design process is impeding the development of extensive applications. This paper proposes an RSoC design methodology based on function-level programming model on account of the characteristics of the reconfigurable architecture. In the programming model, system designers use high-level language to complete functional specification by calling the co-function-library. Then the dynamic hardware/software partitioning algorithm will decide whether an invoked function should be running on hardware or software automatically. According to the partitioning result, the dynamic linker will switch functions' execution mode in real time. And the above items can facilitate an automatic design flow through specification to the system implementation. Experiments and tests have verified the feasibility and efficiency of the automatic design flow.
Research on Planning of Next Generation Regional Network of Jiangsu Open University Based on IPv6

In this paper, the requirements of next generation regional network of JSOU based on IPv6 has been analyzed, and the construction principle has been formulated by Jiangsu Open University building goals. The plan of step by step to the next generation regional network of JSOU based on IPv6 has been put forward based on the architecture of JSOU, the construction planning and the specific content has been researched to each stage. At last, the feasibility and superiority of the campus network of JSOU based on IPv6 has been verified by building a virtual experimental environment.
Matrix Computation For Concept Lattices

Rough set theory and formal concept analysis (FCA) can be viewed as two different approaches of data analysis on data description and summarization. They focus on different characteristics of data in a context: the indiscernibility relation and the binary relation. The indiscernibility of objects with respect to a set of properties is an important notion in rough set theory. In general, this relation is an equivalence relation. A matrix can be seen as an internal representation of equivalence relations. The binary relation in FCA can establish contact with matrix through rough set theory. Representing knowledge in a form of matrix has many advantages. For examples, to represent knowledge in a form of a discernibility matrix enable simple computation of the core, reducts, etc. In this paper, this approach is first applied to FCA. Concept lattices are expressed in terms of matrices that can be computed intuitively and efficiently
Explicit modeling on depth-color inconsistency for color-guided depth up-sampling

Color-guided depth up-sampling is to enhance the resolution of depth map according to the assumption that the depth discontinuity and color image edge at the corresponding location are consistent. Through all methods reported, MRF including its variants is one of major approaches, which has dominated in this area for several years. However, the assumption above is not always true. Solution usually is to adjust the weighting inside smoothness term in MRF model. But there is no any method explicitly considering the inconsistency occurring between depth discontinuity and the corresponding color edge. In this paper, we propose quantitative measurement on such inconsistency and explicitly embed it into weighting value of smoothness term. Such solution has not been reported in the literature. The improved depth up-sampling based on the proposed method is evaluated on Middlebury datasets and ToFMark datasets and demonstrate promising results.
Patterned growth and field emission properties of AlN nanocones

AlN is well known for its small (even negative) electron affinity, high stability, and superior thermal conductivity. Recently, various 1D AlN nanostructures such as nanotubes, nanowires, nanobelts and nanocones have been synthesized. Among them, AlN nanocone arrays exhibit good field emission properties due to their sharp apexes, large aspect ratios and well alignment on substrate (1). However, in comparison with carbon nanotubes, the field emission properties of the AlN nanocone arrays were not so promising because of their wide band gap and large density. To further improve the field emission properties of AlN nanocones, two means are worthy of attempt. One is to increase the conductivity of AlN nanocones by doping other elements or constructing composite nanostructures, and the other is to adjust the nanocone density to decrease the screening effect.
Depth Super-Resolution on RGB-D Video Sequences With Large Displacement 3D Motion

To enhance the resolution and accuracy of depth data, some video-based depth super-resolution methods have been proposed, which utilizes its neighboring depth images in the temporal domain. They often consist of two main stages: motion compensation of temporally neighboring depth images and fusion of compensated depth images. However, large displacement 3D motion often leads to compensation error, and the compensation error is further introduced into the fusion. A video-based depth super-resolution method with novel motion compensation and fusion approaches is proposed in this paper. We claim that 3D nearest neighboring field (NNF) is a better choice than using positions with true motion displacement for depth enhancements. To handle large displacement 3D motion, the compensation stage utilized 3D NNF instead of true motion used in the previous methods. Next, the fusion approach is modeled as a regression problem to predict the super-resolution result efficiently for each depth image by using its compensated depth images. A new deep convolutional neural network architecture is designed for fusion, which is able to employ a large amount of video data for learning the complicated regression function. We comprehensively evaluate our method on various RGB-D video sequences to show its superior performance.
Band-phase-randomized surrogate data reveal high-frequency chaos in heart rate variability

We propose a new band-phase-randomized surrogate data method to evaluate the chaotic dynamics in the high (HF) and low frequency (LF) bands of heart rate variability (HRV) in healthy subjects. The chaotic strength of normal HRV as assessed by a noise titration assay completely vanished when its power spectrum was phase-randomized over the entire frequency band or the HF band alone, but not the LF band alone. This finding confirms recent evidence that chaotic dynamics in normal HRV is ascribable mainly to the HF component, or respiratory sinus arrhythmia.
A parametric method for determining the number of signals in narrow-band direction finding

A novel and more accurate method to determine the number of signals in the multisource direction finding problem is developed. The information-theoretic criteria of Y. Yin and P. Krishnaiah (1988) are applied to a set of quantities which are evaluated from the log-likelihood function. Based on proven asymptotic properties of the maximum likelihood estimation, these quantities have the properties required by the criteria. Since the information-theoretic criteria use these quantities instead of the eigenvalues of the estimated correlation matrix, this approach possesses the advantage of not requiring a subjective threshold, and also provides higher performance than when eigenvalues are used. Simulation results are presented and compared to those obtained from the nonparametric method given by H. Wax and T. Kailath (1985).
Enhanced Refractometer Based on Periodically Tapered Small Core Singlemode Fiber

An all-fiber refractive index (RI) sensor with a simple configuration of periodical tapers is proposed and investigated experimentally. The proposed fiber RI sensor consists of a small core fiber sandwiched between two standard singlemode fibers, with tapers periodically fabricated along the small core fiber using a focused CO2 laser beam. Such a structure can be used for RI sensing by measuring the dip wavelength shift of the multimode interference within the small core fiber cladding. An average sensitivity of 226.6 nm/RIU (RI Unit) has been experimentally achieved in the RI range from 1.33 to 1.38. The refractometer is sensitive to temperature and an experimental investigation of this sensitivity is presented. It is found that the peak shift response has a linear variation with temperature; therefore, temperature dependence can be mitigated by a suitable RI correction process. The proposed RI sensor benefits from simplicity and low cost and achieves a competitive sensitivity compared with other existing fiber-optic sensors.
Robust output feedback controllers design for a class of switched hybrid systems

The robust output feedback stabilization problem was considered for a class of nonlinear uncertain switched hybrid systems. The uncertainties exited in the system include the disturbances to the system matrix, the uncertainty satisfying matching condition and the one not satisfying the matching condition. The problems of quadratic stabilization and asymptotic stabilization were investigated for given switched hybrid systems. Some sufficient conditions for the robust stability of the switched hybrid systems are derived by using common Lyapunov function technique and multiple Lyapunov function technique respectively. Simulations validate the correctness of the results.
Backstepping position tracking controller design with neural network deadzone compensation

This paper presents a deadzone compensation scheme using neural networks together with a controller designed by backstepping method. The control system consists of a deadzone precompensator with two neural networks following a backstepping controller. The neural precompensator is employed to improve the performance of the backstepping controller. The proposed control scheme shows superior transient and steady-state performance compared to conventional PD and PID controllers. Moreover, the scheme is robust to uncertainty in deadzone nonlinearities. In the end, computer simulation examples are given to illustrate the effectiveness of the scheme
Analysis on nano biomedical components of acetic ether extractives of cunninghamia lanceolata Biology by Py-GC/MS

Cunninghamia lanceolata is medicinal plant in South China, and its wood extractives are greatly applied in the therapy and protection of human diseases. Therefore, the nano biomedical components of the acetic ether extractives of Cunninghamia lanceolata biology were studied by Py-GC/MS to find new specific drug. 93 compounds of the extractives were identified. The main constituents were cedrol (18.76%), 1H-3a, 7-methanoazulene, 2,3,6,7,8,8a-hexahydro-1,4,9,9-tetramethyl- (9.05%), anthracene, 9-dodecyltetradecahydro-(8.06%), 1H-cycloprop[e]azulene, 1a,2,3,5,6,7,7a,7b-octahydro-1, 1,4,7-tetramethyl- (4.14%), naphthalene, 1,2,3,5,6,8ahexahydro-4, 7-dimethyl-1-(1-methylethyl)-, (1S-cis)- (3.64%), phenol, 2-methoxy-4-methyl- (3.13%), copaene (3.11%), 1-naphthalenepropanol, .alpha.-ethenyldecahydro-.alpha.,5,5,8atetramethyl-2-methylene- (2.76%), germacrene B (2.71%), naphthalene, 1,2,3,5,6,7,8,8a-octahydro-1,8a-dimethyl-7-(1-methylethenyl)- (2.66%), 1H-benzocycloheptene, 2,4a,5,6,7,8-hexahydro-3,5,5,9-tetramethyl-, (R)- (2.49%), camphene (2.44%), 2,4,6-octatriene, 2,6-dimethyl- (2.38%), caryophyllene (2.07%), etc. So the nano acetic ether extractives of Cunninghamia lanceolata biology are used as high-grade bioenergy materials.
Steerable pyramid filters for selective image enhancement applications

In this paper we describe a method we developed for selective detection and enhancement of image feature patterns. A set of directional basis filters were designed to detect the image features of interest, and a steerable pyramid transform is used to generate a multiscale representation of the image features that have desirable shift and rotation invariance. By analyzing and selectively processing the transform coefficients, image feature detection and enhancement can be achieved with designed flexibility in scale, orientation, location, and degree of enhancement. Unlike traditional techniques, this new method promises the selectivity and flexibility desirable in many image enhancement applications. Preliminary experimental results are presented to exemplify the feasibility of the approach.
Optimal array signal processing in unknown noise environments via eigendecomposition approaches

In array signal processing, we most commonly use the spatially white noise model, and most of the high resolution methods are established on such a noise model. However, in real environments, the noise model is often either unknown or undeterminable. This may cause the high resolution methods to suffer severe performance degradation. In this paper, under the assumption that noise correlation is spatially limited, using two separated arrays, we propose a new approach for consistent directions of arrival (DOA) estimations in unknown noise environments. This new method can be also applied in radar or sonar tracking and time series analysis. For a single array the new method is also applicable.
Notice of RetractionPreliminary research on theory and experiment of microwave deresination for Pine wood

The research on the mechanism of microwave deresination and the force conditions of fluid existing in resin cavity was conducted, a mathematical model to predict the critical conditions of microwave deresination was established and verified by experiments in this paper. The results showed that: The pressure difference between the pressure of gas-phase in resin cavity and atmosphere pressure on wood surface should not less than the 4 times of the ratio of free water surface tension coefficient to the radius of resin cavity in order to drive the resin existing resin cavity followed with the movement of free water from wood inside to outside; During the microwave deresination of masson pine, the theoretical minimum critical pressure and corresponding minimum critical temperature are 1.17×105Pa and 104 °C, respectively; There are much resin overfluided from resin cavity on wood surface when the temperature of masson pine species was controlled in the range of 104–110 #x00B0;C during the microwave deresination. The predicted critical temperature of microwave deresination match well with the experimental data.
A Coated Spherical Microresonator for Measurement of Water Vapor Concentration at PPM Levels in Very Low Humidity Environments

This paper presents a novel approach to measurements of low relative humidity (RH) values based on the whispering gallery modes (WGMs) effect in a small silica microsphere coated with a thin layer of Agarose hydrogel. The light from a narrow-linewidth tunable laser with a few GHz tuning range is launched into an adiabatic tapered fiber, which excites WGMs in the Agarose layer via evanescent coupling. Adsorption and desorption of water vapor by the Agarose layer in response to changes in ambient humidity lead to changes in the layer's refractive index, which in turn leads to a spectral shift of the WGM resonances. We experimentally demonstrate the WGMs spectral shift over a range of RH values from 1%RH to 25%RH. The proposed sensor displays linear response and is capable of measurement of low concentrations of water vapor (corresponding to about 11.7 ± 0.32 ppm water molecules in air). In addition, the proposed sensor offers the advantages of a very small form factor and good repeatability. Detailed studies of the sensor stability, cross sensitivity to temperature, response times, and hysteresis are also presented.
Comparison of nonlinear indices in analyses of heart rate variability

Recent advances in study of heart rate variability (HRV) call for a paradigm shift from linear to nonlinear analysis. However, whether HRV per se is chaotic or merely random has remained an open problem. Myriad idealized measures of nonlinear dynamics or fractals which have been proposed in the literatures to characterize HRV are limited by their sensitivity to discernable noise. In this work, we compare the robustness of some nonlinear indices and evaluate their applicability to HRV analysis in the presence of noise.
Link budget of cdma2000 1xEV-DO wireless Internet access system

This paper presents the analysis and simulation results for a 1xEV-DO link budget. The traditional fixed rate CDMA link budget calculation has been extended to include link adaptation and multi-user diversity gains. The main conclusion is that 1xEV-DO provides a link budget advantage over IS-95-A of approximately 10 dB on the forward link and 1.5 dB on the reverse link.
Respiratory Sinus Arrhythmia and Chaos

To investigate the chaotic characteristic of respiratory sinus arrhythmia and nonlinearity in heart rate variability (HRV), two kinds of voluntary breathing, namely, paced breathing and breath-holding, were compared with spontaneous breathing. High frequency component (HF) and its band width of HRV were changed according to respiratory patterns. Correspondingly, reductions of noise limit, which has been documented as a sufficient proof of chaos, were shifted in both frequency and band width depended on HF peak by a new-established band- phase-randomized surrogate method in combination with numeric titration. These preliminary results demonstrated that the spectral component of respiratory sinus arrhythmia is likely a nonlinear index, rather than linear one, as conventionally accepted.
An improved inter-prediction motion estimation algorithm of AVS

Research on inter-prediction algorithms is an important respect in the real-time video codec technology. In the regarded studies, the prediction error can be reduced by incorporating high accuracy estimation and compensation algorithms. So the performance of compressed video can be improved. However, this brings a considerable cost for the complexity of encoder. The computation complexity is mainly due to the complexity of motion estimation. The paper presents an improved algorithm with the initialized searching point prediction, half-stop principle, beforehand skip mode decision, reduced search window and optional search model. This algorithm for the integer-pixel motion estimation is provided to reduce computation complexity in the block-matching process. Experimental results show that the proposed algorithm can reduce about 64%-73% of computation complexity compared to full search but only with little PSNR degradation.
Adaptive control for a class of time-delay nonlinear systems with unknown control coefficients

This paper investigates the adaptive control for a class of high-order time-delay nonlinear systems with unknown control coefficients. Base on the method of adding a power integrator and by using the backstepping approach, an adaptive stabilizing controller independent of time-delay is successfully constructed. The controller guarantees that all states of the whole closed-loop system are globally uniformly bounded, and makes the original system states globally asymptotically converge to zero. Finally, a numerical example is given to illustrate the effectiveness of the control scheme.
Mid-Infrared Octave-Spanning Supercontinuum and Frequency Comb Generation in a Suspended Germanium-Membrane Ridge Waveguide

Stable octave-spanning supercontinuum (SC) in the mid-infrared (MIR) region finds extensive applications in spectroscopy, metrology, biochemistry, etc. The absorption of conventional silicon- or silicon oxide-dominated nonlinear media makes SC generation in MIR region technically challenging. In this paper, we propose ultrabroadband MIR-SC generation using a suspended germanium-membrane ridge waveguide. We theoretically showed that when pump pulses centered at 4.8 μm with pulse width at 180 fs and peak power at 800 W are injected into a 4-mm-long proposed ridge waveguide, the SC generated ranges from 1.96–12 μm (about 2.6 octaves), extending deep into the “fingerprint” region. The first-order coherence is calculated to confirm the stability of the generated SC. The performance of the SC-based frequency comb is also investigated by assuming a 100-pulses pump source at a repetition rate of 100 kHz.
Study on Leaching Rule of Nano Particles from Cunninghamia Lanceolata Wood

The resin in Chinese-fir (Cunninghamia lanceolata), which has been widely planted in south China is very liable to bring about the occurance of both holes and spots in paper, to aggravate the pollution of waste water, to shroten the fixed number of service year of equipment, to increase the consumption of chemicals, to relieve the rate of delignification, and to reduce the the permeability of flows in the process of pulping and paper-making. In order to overcome the above-mentioned negative effects, the extractives of the fresh Cunninghamia lanceolata shavings, which were obtained by using both the sorbitic- and supersonic-extracting approaches, were analyzed by ZETA and SIZER to find out the leaching rule of nano particles in Chinese-fir wood. The results are as follows: (1) During the the sorbitic-extracting process, the extracted quantity of nano particles rapidly increases firstly, then slightly increases with the extracting time. Based on the evaluating indicator of the volume fraction and the mass fraction, 63.63% and 66.87% of the particles are mainly distributed in the range of 37.8-91.3 nm and 28.2-68.1 nm in diameter, respectively, despite volume fraction 0.7%, 20.5% and 20.5% of the particles with the diameter of 4150-6440 nm, 459-825 nm and 825-4800 nm, respectively, it is enough for these particles to be able to result in the obstructive effects on the permeability and the pulping. (2) During the the supersonic-extracting process, the particles with the diameter of 32.7-78.8 nm and 32.7-58.8 nm occupy 88.8% and 90.5%, respectively, while there is no particles in the diameter of more than 190 nm. Therefore, it can be drawn a conclusion that not only the extraction mass of the particles is enhanced, but also the agglomeration degree of the leached nano particles is lowered on Cunninghamia lanceolata wood for the supersonic-extracting approach.
A stochastic optimal model of micro energy internet contains rooftop PV and CCHP system

Micro Energy internet generally refers to energy system with multi-energy synergism, is achieved through energy conversion, storage, demand response and other technologies, realizes coupling energy and information deeply. This paper introduces a stochastic optimal operation model of micro Energy Internet contains CCHP system and rooftop PV modules. A representative scenarios method is used to describe the uncertainty of PV output power. A stochastic MILP model with probability was established and verified by actual data in the case study section.