nils-herrmann/clean_scirepeval huggingface dataset:
A new successive relaxation scheme for the W-matrix solution method on a shared memory parallel computer [power system analysis]

The W-matrix method has the potential to be efficient for parallel computing as a substitute for the precedence stringent substitution schemes, which are being commonly used on sequential computers for the solution of power system sparse linear matrix equations, with the support of appropriate reordering and partitioning algorithms. In this paper, the factors which may affect the performance of the W-matrix method are examined first. A bus reordering and partitioning scheme is then proposed which is aimed at reducing the fill-ins in both the triangular matrices L power system and U and the W-matrices and adjusting the patterns of the W-matrices for better parallel efficiency. Tests conducted on a shared memory parallel computer proved the effectiveness of the proposed algorithm for various power systems. Test results are presented and discussed.
Output feedback stabilization of stochastic nonholonomic systems

This paper deals with the output feedback stabilization problem for the stochastic nonholonomic systems with unknown stochastic disturbances. The objective is to design the almost global asymptotical output feedback controllers in probability for the systems by using discontinuous control. The switching control strategy based on the output measurement of the first subsystem is employed to achieve the asymptotic stabilization. An observer is introduced for states estimates. The integrator backstepping technique based on a constructive manipulation is applied to the design of the controller. The output feedback asymptotic stabilization in probability is realized. An example is given to show the effectiveness of the proposed scheme.
Study on Moulding Process of Eco-Ceramics Body with Residual Bamboo Fiber

Recently, plant-based ceramics have attracted more and more attention for their low cost and wide application. Therefore, a novel technology using the mold pressing based on formation principle of powder metallurgy craft was introduced firstly to realize binderless agglutination and to obtain the eco-ceramics with residual bamboo fiber. Thermo-gravimetric analysis and conventional measurement were performed to determine the physical and mechanical properties of bamboo ceramics body. The results show that temperature, time and pressure of moulding process all have significant effect on physical-mechanical properties, and that the optimum technology parameter is under the condition of pressure 7 MPa, temperature 160degC, and pressure time 10 min. these results will provide a strong reference for further processing of bambooceramics.
Hermetic joining of micro-devices using a glass frit intermediate layer and a scanning laser beam

In this paper we investigate and compare a laser-driven joining process with two different illumination conditions: (i) high speed scanning of a focused beam and (ii) reasonably uniform ldquoflood illuminationrdquo of the whole sample. It is shown that the scanning beam not only avoids illuminating the central part of the device, but also provides more uniform heating of the area to be bonded than laser ldquoflood illuminationrdquo. We demonstrate bonding of three different packages: (i) LCC (Leadless chip carrier) packages, (ii) AlN and (iii) LTCC (Low temperature co-fired ceramic) substrates to ldquotop-hatrdquo packages, using a scanned beam from a fibre-delivered high power laser diode array to cure an intermediate layer of glass frit. Standard leak testing demonstrates that all those samples have excellent hermetic sealing with leak rates at the level of 10-9 atmldrcc/s.
Study on Purification Technique of Blogical Chinese Herbal Medicine in Micro/Nano Particles of Chinese-fir Cells

In order to purify blogical Chinese herbal medicine from wood etractives and hmicellulose at the molecular level, the fresh Chinese-fir cells were extracted in LiOH solution, and were analyzed by ZETA and SIZER to find out the leaching rule of nano particles in Chinese-fir cells. The results are as follows: (1) The extraction mass arrived at the maximum value when LiOH concentration is about 17.5%. (2) The diameter the micro/nano particles of wood extractives and hemicellulose is chiefly about 1720 nm according to volume fraction. Micro/nano particles in the diameter of 24.4-91.3 nm, 342-1720 nm, 0-24.4 nm is the most at the extracting time of 3 h, 16 h, 24 h, respectively . (3)The diameter the micro/nano particles of wood extractives and hemicellulose is chiefly between 913 nm and 1720 nm according to number fraction.Micro/nano particles in the diameter of 91.3- 342 nm, 91.3-342 nm, 91.3-1720 nm is the most at the extracting time of 3 h, 16 h, 24 h, respectively.
Attacks on Network Infrastructure

We present the first practical example of an entirely new class of network attacks -- attacks that target the network infrastructure. Modern routers in computer networks use general-purpose programmable packet processors. The software used for packet processing on these systems is potentially vulnerable to remote exploits. In this paper, we demonstrate a specific attack that can launch a devastating denial-of-service attack by sending just a single packet. We show that vulnerable packet processing code can be exploited on a Click modular router as well as on a custom packet processor on the NetFPGA platform. We also show that defense techniques based on processor monitoring that we have proposed in prior work can help in detecting and avoiding such attacks.
A Coarse-to-Fine Algorithm for Matching and Registration in 3D Cross-Source Point Clouds

We propose an efficient method to deal with the matching and registration problem found in cross-source point clouds captured by different types of sensors. This task is especially challenging due to the presence of density variation, scale difference, a large proportion of noise and outliers, missing data, and viewpoint variation. The proposed method has two stages: in the coarse matching stage, we use the ensemble of shape functions descriptor to select potential K regions from the candidate point clouds for the target. In the fine stage, we propose a scale embedded generative Gaussian mixture models registration method to refine the results from the coarse matching stage. Following the fine stage, both the best region and accurate camera pose relationships between the candidates and target are found. We conduct experiments in which we apply the method to two applications: one is 3D object detection and localization in street-view outdoor (LiDAR/VSFM) cross-source point clouds and the other is 3D scene matching and registration in indoor (KinectFusion/VSFM) cross-source point clouds. The experiment results show that the proposed method performs well when compared with the existing methods. It also shows that the proposed method is robust under various sensing techniques, such as LiDAR, Kinect, and RGB camera.
A New Attribute Reduction Algorithm in Consistent Decision Formal Context

In knowledge discovery, the problem of attributes reduction aims to retain the discriminatory power of original attributes. Many algorithms have been proposed, however, quite often, these methods are computationally time-consuming. To overcome this shortcoming, we introduce two functions, which can be used to improve the process of attribute selection. Based on the proposed functions, a new attributes reduction algorithm is designed. Experiments show that this new algorithm outperforms its counterpart. Keywords-concept lattice; consistent decision formal context; attributes reduction;classification
Inferring Packet Processing Behavior Using Input/Output Monitors

Programmable packet processors have replaced traditional fixed-function custom logic in the data path of routers. This programmability introduces new vulnerabilities in these systems that can lead to new types of network attacks. We propose a modular packet processor monitoring technique that can help in detecting and avoiding such attacks. Using information about the processing time distribution of individual modules, input/output traffic characteristics can be inferred and abnormal behavior can be detected.
An MRF-Based Depth Upsampling: Upsample the Depth Map With Its Own Property

In this letter, we propose a novel method for upsampling the noisy low resolution depth map with the guidance of the companion color image. The problem is modeled with an Markov Random Field (MRF)-based optimization framework. The novelty relies on the smoothness term that is modeled with an exponential function as the error norm. By using this novel error norm, our method can take the property of the depth map into account. Depth discontinuity cues are not only obtained from the color image but also the depth map itself. Our method has much better performance in preserving sharp depth discontinuities and suppressing the texture copy artifacts. Experimental results show that our method outperforms state-of-art solutions in both visual quality and accuracy.
Fabrication of Three Fire-Retardant Poplar Gluing Composite Lumbers and Evaluation of Their Fire-Retardant and Smoke-Suppressant Performance

Wood-based composites is widely used in building and interior decoration field. However, it is easy for wood to get burnt, and abundant toxic smoke generating during the burning process has caused great casualties and property loss. In this study, poplar wood was chosen as test materials, and three fire-retardant were selected, i.e. the inorganic X type fire-retardant and the organic fire-retardant named F type, and the Z type fire-retardant which is an ordinary organic and inorganic combination fire-retardant and contains element Cl and N. Then after different treated process, three types of gluing composite lumbers were prepared. Thereafter, DSC, TG etc were adopted, and the fire-retardant, smoke-suppressant and mechanical performance of lumber were compared and evaluated. The results indicated that : (1) In a certain range of fire-retardant concentration, with the increase of concentration, all of these three fire-retardant had a much better fire-retardant and smoke- suppressant performance while the bonding strength of composite didn't show much variation and met the requirement of GB. (2) For the F type fire-retardant, when the concentration and process technique were the same, the fire-retarded performance of Y type was better than the other two types, and it also had a good smoke-suppressant performance. (3) X type fire-retardant had an excellent fire-retardant and smoke-suppressant performance when its concentration was relatively large. (4) For Z type fire-retardant, it had a good fire-retarding performance with a relatively small smoke amount, but some toxic gas such as HCl and NH 3 was generated.
Bias corrected regularization kernel network and its applications

Regularization kernel network (RKN) is an effective and widely used kernel method for nonlinear regression analysis. In this paper, I characterize its bias and propose an approach to correct the bias. This leads to a new method called bias corrected regularization kernel network (BCRKN). Theoretical characterizations and simulation studies are used to verify the effectiveness of this bias corrected method. I show that BCRKN has smaller asymptotic bias but slightly larger variance. In applications of learning with a single data set, RKN and BCRKN have comparable performance if the regularization parameter is appropriately tuned. But in applications of incremental learning with block wise streaming data, BCKRN shows to be more efficient due to bias reduction.
Image enhancement using multiscale oriented wavelets

We describe a novel method of enhancing image geometric features using the oriented wavelets introduced in our earlier work (see Yu-Ping Wang,  1999). The poor directional selectivity of the conventional 2D wavelet transform has been circumvented by using this class of oriented wavelets. By taking advantage of directional wavelet decomposition, both the directional and scale correlation information are utilized for enhancing salient structures in images. To remove phase dependence, a pair of quadrature filters are used. The proposed algorithm has been applied to chromosome image enhancement. Comparisons of this algorithm with other approaches are presented.
Typical medium voltage distribution system topologies in China: A review and a comparison of reliability

Medium voltage (MV) distribution system planning is an important duty of modern distribution system companies (DisCos) in order to providing reliable and high-quality electric supply. One essential procedure of the planning progress is to determining the topology of a MV distribution system because the topology has significant impact on reliability and cost of distribution systems. Despite many literatures have been published aiming at solving the MV distribution system planning problem, their complexity have limited their practicing in real world. As a result, DisCos may come across difficulties in making an optimal decision. This paper thus presents a review of typical MV system topologies in China, and a comparison of their reliability via case studies based on a real urban area. The contribution of this paper is that the characteristics of a series of MV system topologies are revealed in a straightforward manner, so that the ideas in this paper can be understood and applied by industry better.
UN-MUSIC and UN-CLE: an application of generalized correlation analysis to the estimation of the direction of arrival of signals in unknown correlated noise

A new approach is proposed for the consistent estimation of the directions of arrival (DOA) of signals in an unknown spatially-correlated noise environment. The signal and noise model used is based on the assumption that the data are received by two arrays well separated so that their noise outputs are uncorrelated. The generalized correlation decomposition of the cross-correlation matrix between the two arrays is then introduced. Of particular interest is the canonical correlation decomposition. The analysis of the generalized correlation leads to various interesting geometric and asymptotic properties of the eigenspace structure. Two algorithms, UN-MUSIC and UN-CLE, are developed to estimate the DOA of signals in unknown spatially correlated noise based on the utilization of these properties. Computer simulations show that these methods are superior in performance compared to conventional methods. Furthermore, it is demonstrated that the new methods are equally effective even when only one sensor array is employed.
Growth mechanism, structural regulation and energy-oriented functionalization of carbon-based nanotubes

By using the in situ thermal analysis-mass spectroscopic technique, the CVD growth process of CNTs with benzene precursor has been clearly illuminated and the six-membered-ring-based growth mechanism through surface diffusion is deduced. Moreover, by applying this mechanism to the synthesis with pyridine precursor, nitrogen-doped CNTs (NCNTs) with predominant pyridinic N over graphitic N have been obtained. And such NCNTs have homogenous distribution of the nitrogen species which is beneficial for the surface functionalization. Accordingly, a series of alloyed Pt-TM (TM=Ru, Co, Ni etc) nanoparticles have been directly immobilized onto the outer surface of the NCNTs without pre-modification due to the nitrogen participation. The Pt-TM nanoparticles in so-constructed binary Pt-TM/NCNTs catalysts own high dispersion, narrow size distribution and tunable chemical composition.
Investigation on stress/strain sensing characteristics for magnetorheological smart composite material by a SMS fiber structure

A single-mode-multimode-single-mode (SMS) fiber structure based stress/strain sensor is applied to monitor internal stress variations in magnetorhelogical elastomers (MREs) matrix. The liquid silicone rubber mixture with embedded fibers, i.e. SMS fiber and Fiber-Bragg-Grating (FBG), are enclosed into an aluminum mould for curing within a permanent magnet field at room temperature for 5 days. Then the cured sample is utilized for internal stress/strain measurement by applying different magnetic field intensity, of the results show that SMS structure has higher stress/strain sensitivity than that of FBG when a variable magnetic flux density was applied the MRE. The present investigation shows capability of using SMS sensor for online feedback and operation of MREs materials and commercial potential in medical and healthcare applications.
Source-code-level Transformation and APT-Driven Parallelism Pre-processes for Embedded System Automated Design

A particular pre-processing framework for embedded system design automation is presented in this paper. The main motivation of this framework is to construct a unified internal platform that bridges the gap from the original system application input to the intermediate kernel representation in hardware/software (HW/SW) co-design. To cope with this issue, novel algorithms for the transformation from C specification to hierarchical control data flow graph (HCDFG) and parallelism optimization are employed in this paper, which satisfy the front-end requirements of HW/SW partitioning in the whole design. In particular, a novel model named abstract parallel tree (APT) is emphatically presented in detail to offer a theoretic support for the implementation of parallelism optimization. Finally, the summary of experimental implementations is presented and the feasibility of this framework is validated
Variable Bandwidth Weighting for Texture Copy Artifact Suppression in Guided Depth Upsampling

In this paper, we mathematically analyze one of the most challenging issues in color image-guided depth upsampling: the texture copy artifacts. The optimal guidance weights denoted by balanced weights are proposed to best suppress texture copy artifacts. To both suppress texture copy artifacts and preserve depth discontinuities, a new general weighting scheme called variable bandwidth weighting is proposed. The variable bandwidth weighting scheme is able to adjust guidance weights according to the local depth smoothness. A new concept called relative smoothness is proposed for measuring the local depth smoothness. Given this quantitative smoothness measurement, the proposed weighting scheme can adaptively adjust the bandwidth for calculating the guidance weights in the existing methods. As we use the computationally efficient balanced weights instead of the guidance weights of a large bandwidth, the proposed method can speed up the upsampling process for about  $2\times \sim 5\times $  when compared with the original upsampling methods. Experimental results show the effectiveness and efficiency of the proposed method in suppressing texture copy artifacts, preserving the depth discontinuities and reducing the computational cost at the same time.
Disturbance-observer-based path following predictive controller for underactuated surface vessels

The path-following control problem is considered for a 3 degree-of-freedom underactuated surface vessel with disturbances. The Serret-Frenet coordinate and nonlinear state transformations are used to transform the system into a SISO nonlinear chained system. By using the disturbance observer to compensate the influence of external dynamic disturbance, a composite generalized predictive anti-disturbance controller, which integrate the nonlinear disturbance observer with the feedback loop, is proposed. The controller guarantees that the system state trajectories can asymptotically track the given reference trajectories. The numerical simulations demonstrate the validity of the antidisturbance control strategy.
Flame retardant and smoke suppression properties of two silicon compounds and their synergistic effect with Tin

In order to research flame retardants and smoke suppressants of "high effectivity, low toxicity, no pollution". Wood powder were treated with two silicon compounds and their mixtures with Tin. Flame retardant and smoke suppression of two silicon compounds were researched by cone calorimeter (CONE), and the synergistic effect with Tin were preliminarily investigated. The results showed that, heat release rate (HRR) decreased about 25% by Na2SiO3 and its mixtures treating, and total heat release (THR) accounted for only 70.4% of the untreatment. Compared with untreatment, total smoke production (TSP) decreased about 50% by Na2SiO3 and its mixtures treating. Effective heat of combustion (EHC) and mass loss rate (MLR) etc. had varying degree depression after flame retardants treatment. Good flame retardant and smoke suppression properties of two silicon compounds and their mixtures with Tin were demonstrated. And Na2SiO3 was proved to be a potential wood flame retardant and smoke suppressant. The flame retardant and smoke suppression synergistic mechanism need to be further explored.
A heterogeneous platform with GPU and FPGA for power efficient high performance computing

Heterogeneous computing is gaining attention from both industry and academia nowadays. One driving factor for heterogeneous computing is the power efficiency. GPU and FPGA have been reported to achieve much higher power efficiency over CPU on many applications. Comparisons between GPU and FPGA show different characteristics of GPU and FPGA in accelerated computing. Some tasks run better on GPU, some run better on FPGA. Combining GPU and FPGA in one heterogeneous computing platform may provide us the advantages from both sides. This paper presents a heterogeneous computing platform with GPU and FPGA that we have built for power efficient high performance computing. The experimental results of 4 application examples show that different applications have different favorite computing architectures, which suggests a matching of the characteristics between the computation task and the computing architecture is the key to the power efficient high performance computing on heterogeneous computing platforms.
Gaze estimation based on camera relay

Gaze-tracking is a hot technology of human-computer interaction, which requires an explicit personal calibration process before every use for the sake of higher accuracy. When a number of different gaze interactive systems are used continuously, the calibration process would take the trouble. Due to the accuracy of interaction relying on the calibration of the camera which is used, in this paper, we proposed a method to transmit the personal calibration information based on camera calibration. The system devotes to deliver the personal calibration information between gaze interactive systems so that only one calibration is needed for the multiple gaze interactive systems. Given the calibrated cameras in the interactive systems, personalized eye parameters calibrated on one camera can be transmitted to any of the other cameras one by one. When one of the other cameras is used, the personal calibration process can be omitted without lowering the accuracy of the premise of the calculation much, where implements multiple interactive systems to realize the seamless transfer to use. Experiment between the two cameras is explored to validate the method we proposed. The experimental results show that the method is feasible and reliable.
Optimal direction finding with partially calibrated arrays in spatially correlated noise fields

The problem of using a partly calibrated array for maximum likelihood (ML) bearing estimation of possibly coherent signals buried in unknown correlated noise fields is shown to admit a neat solution under fairly general conditions. The ML estimator introduced in this paper (and referred to as MLE) is shown to be asymptotically equivalent to a subspace-based bearing estimator proposed by Wu and Wong (see  1994) (called UNCLE and re-derived herein by a simpler approach than in the original work). A statistical analysis is performed, proving that the MLE and UNCLE methods are asymptotically equivalent and statistically efficient. In a simulation study, the methods are also found to possess very similar finite-sample properties.<<ETX>>