nils-herrmann/clean_scirepeval huggingface dataset:
Accelerated life testing design based on wear failure mechanism for pneumatic cylinders

The piston and piston pole sealing ring are the weak units as well as leakage sources which easily result in the cylinders failure. The primary criterion for determining test acceleration factors is that the failure mode or failure mechanism should not change or be different from that expected from a non-accelerated test. Working temperature, frequency and motion velocity are chosen as stresses for the specific cylinders. Three kinds of testing stress spectrum are designed. The data evaluation results show that there is no change for the cylinders as to the failure mechanism. All the data acquired are efficiently and valuably used to estimate the reliability of the products.
Adaptive Control of Nonlinear Systems with Unknown Control Directions

The robust adaptive state feedback controller is designed for a class of nonlinear systems with unknown time-varying virtual control coefficients, uncertain time-varying nonlinear parameters and uncontrollable unstable linearization, by employing the Nussbaum-type gain technique and the adding a power integrator design. The controller can ensure all the signals of closed-loop globally uniformly bounded. Especially, the state signals asymptotically convergence to zero. The proposed design method does not require any a priori knowledge of the unknown control coefficients except for their bounds
Characterization and improvement of immersion process defectivity in memory device manufacturing

As integrated circuit (IC) industry steps into immersion lithography's era, defectivity in photolithography becomes more complex which requires more efforts in the analysis and solution finding when compared to traditional dry lithographic process. In this paper, we focus on one type of immersion defects from memory or flash memory devices with typical mask layouts. Since the use of self-aligned double patterning (SADP) or other double patterning techniques, the original single pattern layer has to be split into 2 mask layers: logic area vs cell area. One characteristic of such split process is that the total mask transmission rate (TR) is above 70%, with both big open areas and a pattern area with a transmission rate close to 50%. This means that its defects characteristics can be a little different from logic devices. We have found that memory device is easier to suffer photoresist (PR) residue defects with center ring-like map. We have analyzed its underlying mechanisms and found optimized approaches to improve it by tuning parameters in development and rinse recipe. The results of our study will be presented and discussed.
Genomic Privacy Preserving Framework for High-Order SNPs Linkage Disequilibrium on Correlated Sequences

Considering the correlated SNPs sequences, the associated study between the SNPs and diseases may lead to more privacy breaches for high-order SNPs linkage disequilibrium, because of sensitive information related to SNPs including individual identity, phenotype and kinship. The existing privacy preserving methods have not been applicable to privacy preserving of SNPs, since those methods without considering correlation of the genome sequences, without effectively computation and with leading to utility disaster. To this end, we proposed the genomic privacy preserving framework for high-order SNPs linkage disequilibrium on correlated sequences. Firstly, we constructed a matrix model for diploid genotype of SNPs, while computing high-order SNPs linkage disequilibrium and the number of correlated sequences, then achieved diploid genotype indistinguishable based on the definition of differential privacy using matrix addition, finally, we got diploid genotype permutation using module operation. So we got the matrix differential privacy framework, which guaranteed the privacy of individual sensitive information for high-order SNPs linkage disequilibrium on correlated sequences, while kept the tradeoff of genome data utility. Therefore, combining matrix model of SNPs and modulo operation, our framework built on the definition of differential privacy has a guidance role for designing privacy preserving approach under high-order SNPs linkage disequilibrium on correlated sequences, while facilitates to share genome data to GWAS. Furthermore, our framework can generalize to privacy preserving of other genome data applications.
Mine Hydrogeology Information Management System Based on VB and MapObjects

According to the problem existed in the work of mine hydrogeology information management, based on the analysis of functional requirement and system structure of mine hydrogeology information management system, mine hydrogeology information management system was developed on the basis of MapObjects , with VB 6.0 as development language ，and with Access 2000 as back-end database. The system realized the inputting, editing, analyzing and outputting of the mine hydrogeology date information and image data. On the basis of analysis of mining area geological conditions and hydrogeological conditions, BP artificial neural network mine inflow prediction model was built and the mine inflow prediction was realized. The system was tryed out in PingMei NO.11 coal mine. The results supply strong support for management and visualization of mine hydrogeology information management, and prediction of water trouble and aid decision making of administration section.
Motion blur detection based on lowest directional high-frequency energy

Motion blur detection and the relevant blurring parameter estimation are important for many computer vision tasks. The contribution of this paper is in two folds. First, we propose a closed-form solution for motion direction estimation on blurred image. Secondly, a novel method is proposed for motion blurred region detection. The proposed direction estimation is based on measurement of lowest directional high-frequency energy. Compared with traditional methods, it will improve accuracy with less computational cost. Moreover, the proposed motion blurred region detection can efficiently estimate blurred regions without Point Spread Function estimation. Encouraging results are shown by experiments.
Robust Color Guided Depth Map Restoration

One of the most challenging issues in color guided depth map restoration is the inconsistency between color edges in guidance color images and depth discontinuities on depth maps. This makes the restored depth map suffer from texture copy artifacts and blurring depth discontinuities. To handle this problem, most state-of-the-art methods design complex guidance weight based on guidance color images and heuristically make use of the bicubic interpolation of the input depth map. In this paper, we show that using bicubic interpolated depth map can blur depth discontinuities when the upsampling factor is large and the input depth map contains large holes and heavy noise. In contrast, we propose a robust optimization framework for color guided depth map restoration. By adopting a robust penalty function to model the smoothness term of our model, we show that the proposed method is robust against the inconsistency between color edges and depth discontinuities even when we use simple guidance weight. To the best of our knowledge, we are the first to solve this problem with a principled mathematical formulation rather than previous heuristic weighting schemes. The proposed robust method performs well in suppressing texture copy artifacts. Moreover, it can better preserve sharp depth discontinuities than previous heuristic weighting schemes. Through comprehensive experiments on both simulated data and real data, we show promising performance of the proposed method.
Determination of High-Grade Resource Recovery of Acetone Extractives of Masson Pine(Pinus Massoniana L.) Wood Chips by Py-GC/MS

The extractives from masson pine (Pinus massoniana L.) wood would not only consume bleaching agent and other additives, but also aggravate environmental pollution. Therefore, Py-GC/MS was used to analyze the high-grade resource recovery of acetone extractives of masson pine wood. Relative content of each component was determined by area normalization. The main and abundant constituents of 590degC pyrolysis product of masson pine wood were 1-phenanthrene carboxylic acid, 1,2,3,4,4a,9,10,10a-octahydro-1,4a-dimethyl-7-(1-methylethyl)-, [lR-(1.alpha.,4a.beta.,10a.alpha.)]-(17.51%), oleic acid(17.13%), pimaric acid(12.64%), 1-Hydroxy-3,7,8-trimethoxy xanthen-(6.08%), 9H-thioxanthen-9-one, 2-methyl-(4.49%), hexadecanoic acid(3.12%), 1-phenanthrenecarboxylic acid, ,2,3,4,4a,9,10,10a-octahydro-1,4a-dimethyl-7-(1-methylethyl)-,1S-[(1.alpha.,4a.alpha.,10a.beta.)]-(2.56%), orphinan-2,6-diol, ,5- epoxy-N-methyl-(2.96%), phenanthrene,-ethenyl-1,2,3,4,4a,4b,5,6,7,8,8a,9-dodecahydro-1,1,4b,7-tetramethyl-,4aS-[(4a.alpha.,4b.beta.,7.alpha.,8a.alpha.)]- (2.41%),etc. The analytic result suggested that the benzene/ethanol extractives of masson pine wood can be used as materials of biomedicine, flavor, skin care and cosmetic, and bioenergy.
Empirical research on incentive factors for engineering construction and management talents in new era: A case study of organization H

Using the case of organization H, this paper studies the current development of scientific and technological talents. Based on recent research in this filed, we develop an index system of incentive factors, including material incentive, implicit incentive, support incentive and growth incentive. Then we survey 244 scientific and technological talents and use factor analysis method to study the valid data. Our results reveal the real needs of technology professionals in organization H. The results also show that the primary incentive factors include external and internal driving forces. External driving force includes the remuneration, welfare policy, work content, working conditions, platform, accessing to information and participation in decision-making, while internal driving force factor includes the value of research results value, unknown areas attractiveness, the allocation of resources, personal development and playing specialty.
Py-GC/MS Analysis on Biomedical Components of Phyllostachys pubescens

In order to explore the potential of Phyllostachys pubescens used as resources utilization on biomedcial, determination of the chemical components in five-year-old Phyllostachys pubescens was carried out by means of Py- GC/MS. 69 peaks were obtained from Phyllostachys pubesces and 62 compounds which occupy 99.99% of the total peaks areas were identified. The main components in Phyllostachys pubescens were pcetic acid (12.22%), pcetone(11.36%), propanoic acid, 3- amino-2-methyl-(7.57%), 2-propanone, 1-hydroxy- (6.07%), 2,3- butanedione (3.78%), propanoic acid, 2-oxo-, methyl-(3.68%), propanamide, N-acetyl-(3.04%), propanoyl chloride (2.78%), 3- hexanone(1.62%), 2-butenal, (E)- (1.52%), propanal(1.49%), 1,3- dioxol-2-one (1.44%), etc. Therefore, we can draw a conclusion that the pyrolysis byproducts of Phyllostachys Pubescens may be used as raw materials of biomedicine.
Effect of alkali treated bamboo fibres on mechanical properties of fibre-reinforced green composites

The fibre-reinforced green composites made from bamboo fibre and biodegraded resin(Polylactic Acid) were fabricated by injection molding, effects of alkali treated bamboo fibres on mechanical properties (tensile strength and impact strength) of fibre-reinforced green composites were studied, and variance of main chemical components of alkali treated bamboo fibres and untreated bamboo fibres was characterized by FT-IR spectroscopy, the tensile fracture surfaces and the interfacial adhesion of composites were examined by scanning electron microscopy(SEM). Results showed that surface of alkali treated bamboo fiber became loose and existed gaps, under pressure action polylactic acid melt infiltrate through fiber surface layer, so “glue nails” were formed on the interface polylactic acid and bamboo fiber, interface mechanical occlusive action was improved, therefore mechanical properties of green composites was increased.
A study and simulation on measurement of HTS films using CPR technique

In this paper a coplanar resonator (CPR) structure have been estimated using a full wave spectral domain technique in conjunction with the complex resistive boundary condition. The computer aided design method developed is applied to simulate the characteristics of coplanar resonators. To minimize the radiation loss, the coplanar resonator is usually housed in a conductive cavity. The coupling of the resonating loop has been analyzed by using HFSS. We employ HFSS software to simulate the CPR structure and get resonate frequency at 5.27GHz.
Coordinated steady-state voltage stability assessment and control

A framework for mid and long term small disturbance voltage stability assessment and control with dissimilar controls is presented. The parameter space includes parameters for loads, capacitor support and tap changing transformers. A general method is used to locate all the small disturbance characteristic points which contains saddle-node bifurcation, Hopf bifurcation and minimum damping points. The distances from the operating point to the global and/or local closest points in stability boundaries are used as security indices. A new function, defined in terms of multiple (local) minimum distances and the safe distance needed, is used to evaluate the security margin and find the most effective control actions to increase the security margin. All these methods are tested and illustrated in a given example system.
An Energy-Efficient Data Collection Scheme in Body Area Nanonetworks

Wireless nanosensor networks (WNSNs) represent a class of emerging and important network model for perceiving information in the nanoscale. The extremely limited energy storage in nanosensors necessitates the design of energy-efficient protocols (e.g., data collection schemes) for such networks. This paper considers the design of energy-efficient data collection scheme in a WNSN operating in the human body, i.e., Body Area Nanonetwork (BANN). More specifically, this scheme involves a hierarchical (i.e., nanointerface-nanorouter-nanonode) collection structure with nanointerface receiving external requests and returning the requested data, nanorouter collecting data from nanonodes and nanonodes gathering data from human body. In the data collection process, each nanorouter first activates the nanonodes in a rectangle region centered at itself with length l and width W (i.e., wake-up region) and obtains the available energy level of each nanonode in this region. Each nanorouter then selects the nanonode with the largest available energy in the wake-up region to return the requested data. Finally, simulation results are provided to illustrate the performances of our scheme in terms of average available energy and path loss. These results show that better performances can be achieved when a smaller wake-up region is specified.
Linear RF power amplifier design for wireless signals: a spectrum analysis approach

One of the critical and costly components in digital cellular communication systems is the RF power amplifier. Theoretically, one of the main concerns in an RF power amplifier design is the nonlinear effect of the amplifier. Quantitatively, no explicit relationship or expression currently exists between the out-of-band emission level and the nonlinearity description related to the third-order intercept point (IP/sub 3/). Further, in experiments and analysis, it was discovered that, in some situations, using IP/sub 3/ only is not accurate enough to describe the spectrum regrowth, especially when the fifth-order intercept point (IP/sub 5/) is relatively high compared to the third-order intermodulation. In this article, we analyze the nonlinear effect of an RF power amplifier in CDMA (IS-95 Standard), TDMA (IS-54 Standard) and MIRS M-16-QAM (Motorola MIRS standard) system, give expressions of the estimation of the out-of-band emission levels for each system expressed by power spectrum respectively, in terms of the IP/sub 3/ and the IP/sub 5/ as well as the power level of the signal. This result will be useful in the design of RF power amplifier for these wireless communication systems.
Study on High-Grade Bioenergy Utilization of Acetone Extractives of Eucalyptus Urograndis Wood

As a waste in pulp, the acetone extractives of Eucalyptus urograndis wood severely polluted the water and wasted a lot of bleaching agents. Therefore, Py-GC/MS was used to analyze high-grade bioenergy utilization of acetone extractives of Eucalyptus urograndis wood. The relative content of each component was determined by peak area normalization. 33 compounds in the extractives were identified. The mainly abundant constituents were ergosta-4,6,22-trien-3.alpha.-ol (12.95%), carbon dioxide (12.02%), cyclopentadecanone, 2- hydroxy- (8.21%), .beta.-sitosterol (7.6%), 1,2-benzenediol (5.97%), phenol, 2,6-dimethoxy- (5.45%), R-(-)- cyclohexylethylamine (4.64%), vitamin E (4.51%), phenol, 3,5- diethyl- (4.38%), acetone (4.16%), 4.alpha.-methylcholest-7-en-3- one (3.54%), 1,2,3-benzenetriol (3.33%), 1-
Research on monitoring quality of 3G streaming media service

In order to effectively monitor the application of the network performance and service quality, rapidly response users' needs and complaints, telecom operators find that the demands for service quality are in an urgent case. According to the requirement analysis on quality monitoring for streaming media service, together with the characteristics of stream media transport protocol, this paper introduced a methodology for the monitoring data of 3G streaming media services. These data included objective QoS indicator and subjective QoE indicator. The measurement for testing process involved a handheld client terminal and some network probes. Using this detection system, we achieve the quality monitoring for streaming media service and also the judgment for fault points in the network.
Boosting Separability in Semisupervised Learning for Object Classification

Boosting algorithms, especially AdaBoost, have attracted great attention in computer vision. In the early version of boosting algorithms, the weak classifier selection and the strong classifier learning are linked together. It has been demonstrated that decoupling of these two processes can provide more flexibility for training a better classifier. In these studies, linear discriminant analysis (LDA) has been adopted to select weak classifiers independently based on class separability rather than a training error that occurs normally in AdaBoost. It is observed that LDA is successful only if a large number of labeled training samples is available. However, a large-scale labeled training set is not always available in many computer vision applications such as object classification. To tackle this problem, this paper proposes semisupervised subspace learning combined with a boosting framework for object classification, through which unlabeled data can participate in the boosting training to compensate for the lack of enough labeled data. With the proposed framework, this paper develops three various approaches that utilize unlabeled data in different ways. According to the experiments on several public image data sets, the proposed methods achieve superior performance over AdaBoost and existing semisupervised algorithms.
The special strategic status of the Environmental Protection in the implementation of the scientific concept of development

It analyzed the special strategic status of the Environmental Protection in the implementation of the scientific concept of development. It pointed out that the “environment and development”, in essence, is the “scientific development”, the environment itself was an integral part of development, thus considering the environmental issues in the development was truly conducive to sustainable development. The solution of “Environment and Development” problem depended on the “conscious development”. At this stage in social development, proposing the concept of scientific development followed the times, and the concept of scientific development and environmental protection were ideologically integration.
Wafer edge overlay control for 28 nm and beyond technology node

Advanced semiconductor industry requires chips with higher integration density and smaller critical dimensions, which means the overlay has to be shrunk in proportion. According to the International Technology Roadmap for Semiconductors (ITRS), the overlay requirement for 28 nm is 5.4 nm in 3-sigma. Generally speaking, this overlay requirement can be met with the current state-of-the-art exposure tools. Recently, researchers specifically look at the edge die overlay within a typical 140 mm to 147 mm range in wafer radius. The result is much worse than that of full map overlay. In this paper, multiple root causes of the bad edge overlay are discussed in detail. Among these contributors, un-optimized overlay sampling plan, high order alignment, chuck edge cleanliness, alignment strategy optimization and inappropriate baseliner sub-recipe generation method play major roles. In order to minimize the impact from these overlay contribution factors, corresponding solutions have been explored. Our conclusion is that the edge overlay can be minimized to some extent, while it's very challenging to bring the wafer edge overlay performance to the level of full map overlay.
Simulation research of damping control based on MicroSim system

In this paper, every composing of MicroSim is introduced, and the work theory of each composing is also introduced. One of the executive machines of MicroSim (reaction wheels) is used to realize the damping mode of micro-satellite. The task of the damping mode is to stop the rotational motion of the microsatellite in each of the three axes. And the simulation result is given under the damping control mode
Accelerating with 512-bit SIMD : A case study for molecular dynamics simulation on Intel's Knights Corner

Multi/many-core design combined with wide vector extension has become the mainstream of modern process architectures. Recently, Intel released Knights Corner, a many-core processor of Intel's Many Integrated Core (MIC) architecuture. Knights Corner comprises up to 62 cores, each supports 512-bit SIMD operation, that is, 8-way double precision floating-point vector operation. In this paper, to analyze the practical effect of the 512-bit SIMD extension, we port a molecular dynamics application onto the Knights Corner using SIMD intrinsics and then adopt optimizations such as loop unrolling and data prefetching. The experimental results demonstrate that our 512-bit SIMD implementation can achieve nearly ideal SIMD speedups (up to 7.69) over the non-SIMD version for the force computation task.
Sol-gel silica coated optical fiber sensor for ammonia gas detection

A high sensitivity ammonia gas sensor based on a tapered small core single-mode fiber (SCSMF) structure for measurement of ammonia gas concentration is reported. The proposed tapered SCSMF fiber structure has a waist diameter of 13.5 µm and it is fabricated using a customized microheater brushing technique. The silica based material prepared by sol-gel method is used as a coating applied to the surface of tapered fiber structures. Experimental results show that sensor is very sensitive to ammonia. The best measurement resolution of the ammonia concentration is estimated to be 16 ppb for gas concentrations of 0.5 ppm to 2.5 ppm while the response and recovery times are less than 5 and 10 minutes respectively.