nils-herrmann/clean_scirepeval huggingface dataset:
Efficient Generation of Watt-Level Output From Short-Length Nd-Doped Phosphate Fiber Lasers

We report experimental results on high-power heavily Nd-doped phosphate continuous-wave (CW) fiber lasers of very short length. The optimum fiber laser with a length of 26 cm exhibited a maximum output power of as much as 2.87 W and a slope efficiency of 44.7% with respect to absorbed pump power at 795 nm. Up to 1-W laser was also obtained from a 6-cm-short active fiber. The fiber lasers were demonstrated at 1053 nm with a linewidth of 1.6 nm, and showed no evidence of roll-over even at highest output power. The output powers were stable and limited only by available pump power.
Hybrid SVPWM technique for reduced torque ripple in permanent magnet synchronous motor

A voltage source inverter-fed synchronous magnet synchronous motor (PMSM) produces torque ripple due to application of pulsewidth modulation (PWM) method. Torque ripple is influenced strongly by the PWM strategy. A Hybrid SVPWM (HSVPWM) technique is presented to reduce torque ripple of PMSM. The method employs both conventional sequences and advanced bus-clamping switching sequences, which apply an active vector twice in a subcycle. The proposed Hybrid SVPWM technique compares conventional switching sequence and advances bus-clamping sequences every sampling cycle, then employs the one which could produce the minimum torque ripple. The results of HSVPWM are obtained and advantage is shown in contrast with CSVPWM strategy.
Notice of Retraction Study on IPO's underpricing and overpricing in China: Evidence from Chinese listed companies

IPO's abnormal initial return is very high in the Chinese stock market, which has seriously affected the stock market resource allocation efficiency. This paper empirical analyses abnormal initial returns of 540 new-issued A-shares which issued after the reform of split share structure from January 1st, 2006 to June 30th, 2010. It is found that the noise traders make IPO price away from its intrinsic value; in all circulated shares issue, abnormal initial return does not reduce; investor sentiment remains high, IPO price changes are closely related with the investor sentiment. Comparing IPO initial return and investor sentiment indicators before and after the financial crisis, we can see the first-day initial return has a significant difference, but no big change in investor sentiment.
Real-time vehicle detection based on quasi-shot segmentation

In this paper, a Quasi-shot Segmentation Vehicle Detection (QSVD) method is proposed to improve the accuracy and robustness of traffic flow detection. The QSVD method is based on histogram intersection method to find the biggest difference between successive frames. Adjacent frames are considered in when vehicle is detected in current frame. Relying on the QSVD method, vehicle can be detected by signal peak and valley search and gradual transition shot detection problem can be resolved. The initial video is used to accomplish detection directly without image preprocessing. Experiments show that vehicles can be detected effectively by the QSVD method. The detection accuracy is remained at 93% or more.
Efficient Characterization Methodology of Gate-Bulk Leakage and Capacitance for Ultra-Thin Oxide Partially-Depleted (PD) SOI Floating Body CMOS

For the first time, an efficient methodology to accurately characterize the gate-bulk leakage current (Igb) and gate capacitance (Cgg) of PD SOI floating body (FB) devices was proposed and demonstrated in 40-nm PD SOI devices with ultra-thin oxide EOT 12A. By applying the RF testing skill for the proposed SOI test patterns, we can eliminate properly the parasitic elements due to the co-existence opposite poly gate type the SOI T-shape body-tied (BT) device and accurately characterize and model the SOI FB Igb and Cgg behaviors. Impact on the history effect was analyzed by BSIMSOI4.0 model. History effect analysis with high pulse and low pulse width was shown. Improvement of more than 3% simulation accuracy for history effect was also demonstrated.
Removal of Heavy Metals in Municipal Sludge by Using Acetic Acid-H2O2- Ferrite Way

Removals of copper and zinc from municipal sludge from Tianjin Dongjiao Sewage Treatment Plant by using acetic acid - H2O2 way and the removals of heavy metals from municipal sludge extract fluid by using improved acetic acid- ferrite way were studied in experiment. The better technique condition to remove copper and zinc was that the quality concentration of acetic acid was 2mol/L, the ratio of sewage sludge, H2O2 and acetic acid was 1:2:50, the reaction time 4 hours in room temperature, and the removal rates of copper and zinc were over 95%. Using improved ferrite way and lime milk as neutralization, Cu, Zn, Cr, Ni, Cd, Pb could be removed from municipal sludge filtrate caused by acetic acid- H2O2, the removal rates of Cu, Zn, Cr, Ni, Cd, Pb were 94%, 98%, 86%, 92%, 89%, 99% and the filtrate could be dicharged legally. The best technique condition was that the initial concentration of FeCl3 /FeSO4 was 0.10/0.05mol/L, the added Fe 2+ :Fe 3+ (mol value)=1:2, Fe 3+ /M n+ (Cu 2+ ,Zn 2+ ) =10, the pH value was 9, reaction temperature was room temperature.
Learning Visual Semantic Relationships for Efficient Visual Retrieval

In this paper, we investigate how to establish the relationship between semantic concepts based on the large-scale realworld click data from image commercial engine, which is a challenging topic because the click data suffers from the noise such as typos, the same concept with different queries, etc. We first define five specific relationships between concepts. We then extract some concept relationship features in textual and visual domain to train the concept relationship models. The relationship of each pair of concepts will thus be classified into one of the five special relationships. We study the efficacy of the conceptual relationships by applying them to augment imperfect image tags, i.e., improve representative power. We further employ a sophisticated hashing approach to transform augmented image tags into binary codes, which are subsequently used for content-based image retrieval task. Experimental results on NUS-WIDE dataset demonstrate the superiority of our proposed approach as compared to state-of-the-art methods.
Robust and Fast Localization Algorithm for Data Matrix Barcode

Data Matrix barcode is one of the most extensively used 2D barcodes. During the flow process of Data Matrix barcode decoding, barcode localization is the first and non-trivial step for the latter steps, like affine transformation adjustment, fine-level foreground region extraction etc. In this paper, an innovative method for Data Matrix barcode localization based on boundary tracking and Radon transform was proposed. The superiority of the proposed method lies in three-folds: 1) it is independent of geometrical constrains of the shape of the barcode region; 2) boundary tracking is performed hierarchically with heuristic rules without complicated predicting method; 3) the points for operating Random transform can be initiated after edge tracking to save computational complexity. Experimental results showed the accuracy, robustness, and efficiency of the proposed method for Data Matrix barcode localization.
A rational model of cooperation negotiation in multiagent system

The cooperative theory and method between agents are important research domains in multi-agent systems (MAS). It is essential that agents can agree on some deals by negotiation tasks, goals and sets of actions. Up to now, various theoretical models have been introduced into the research to cope with the negotiation between agents. How to improve the social rationality of the negotiation is not only one of the main goals, but also a great challenge for researchers, for instance, the process of negotiation is as concise as possible and the deals, as the result of the negotiation between agents, are as reasonable as possible. The superior-and-inferior relationship is pervasive in almost all the social community of the human beings. Inspired by this a new theoretical model of the negotiation is designed in which agents have their own position in the grading system and are able to reason and achieve a set of deals by abiding their situations, relationship and goal structure. Following "social" strategies, agents propose, accept or refuse different offers until they reach a "fair" agreement. The negotiation model studied in this paper is useful for MAS applications and distributed cooperation problem solving.
Finite Frequency Filtering Design for Uncertain Discrete-Time Systems Using Past Output Measurements

This paper tackles the problem of finite frequency <inline-formula> <tex-math notation="LaTeX">$\mathcal H_{\infty }$ </tex-math></inline-formula> filtering design for polytopic uncertain discrete-time systems using past output measurements. The noise is assumed to be restricted in a finite frequency range, i.e., the low, middle, or high frequency range. The objective is to design an admissible filter with past output measurements of the system, guaranteeing the asymptotic stability of the filtering error system with a prescribed finite frequency <inline-formula> <tex-math notation="LaTeX">$\mathcal H_{\infty }$ </tex-math></inline-formula> disturbance attenuation level. Based on past output measurements together with the parameter-dependent Lyapunov function and projection lemma, a new sufficient condition for robust finite frequency <inline-formula> <tex-math notation="LaTeX">$\mathcal H_{\infty }$ </tex-math></inline-formula> performance is first derived, and then, the filter synthesis is developed. It is shown that the filter gains can be obtained by solving a set of linear-matrix-inequalities. Finally, two examples are given to demonstrate the advantages and effectiveness of the proposed approach.
Notice of RetractionDegradation of Aniline by a Dual-Electrode Oxidation Process in Aqueous Electrolyte

The efficiency and the mechanism of aniline degradation by an electrochemical oxidation process using Ti/SnO<sub>2</sub>-Sb<sub>2</sub>O<sub>5</sub> as anode and graphite as cathode were studied in two aqueous electrolytes with/without Fe<sup>2+</sup>. The results showed that the oxidation of aniline could not take place only by the single action of H<sub>2</sub>O<sub>2</sub>. Anodic oxidation was accounted for the degradation of aniline in the absence of Fe<sup>2+</sup>, while in the presence of Fe<sup>2+</sup> both electro-Fenton oxidation and anodic oxidation (dual-electrode electrochemical oxidation) could destruct aniline effectively, and in this case the former was the main mechanism. Under the conditions of cathodic potential 0.65V, pH 3.0 and 0.5mM Fe<sup>2+</sup>, the removal rate of COD was 77.5% after 10h treatment and a current efficiency of 97.8% for COD removal could be obtained. This work indicates that the dual-electrode electrochemical oxidation is feasible for the degradation of organic compounds by using Ti/SnO<sub>2</sub>-Sb<sub>2</sub>O<sub>5</sub> as anode as well as the reasonable electrode potential; in addition, a high current efficiency can be achieved.
Investigation to Simulation of Control Strategy for Series-Parallel Hybrid Electric Vehicle

In the environment of ADVISOR developed from the Matlab/Simulink, a fuzzy control strategy is proposed for series - parallel hybrid electric vehicle (PSHEV) using fuzzy logic and the curve of maximum engine power. The fuzzy control strategy not only absorbs some benefits of the logic threshold control strategy, but also uses fuzzy logic to build torque distribution controller to distribute the torque of the hybrid system. In the progress of designing and researching fuzzy logic control strategy, the structural characteristics of the hybrid driving system and control objectives are analyzed in detail. Then use fuzzy logic technology to complete the design and development of control strategies. Finally, take the fuzzy strategy into the simulation of a variety of road conditions. Through the analysis and comparison, the simulation results show that the fuel economy of the fuzzy control strategy has been greatly improved by 6% compared to conventional logic threshold control strategy.
Full Regular Temporal Property Verification as Dynamic Program Execution

Verification of programs in code-level has attracted more and more attentions since the cost is high to extract models from source code. Most of the approaches available for code-level verification are carried on by inserting assertions into programs and then checking whether the assertions are violated. But in this way, only safety properties can be verified, other temporal properties of programs such as liveness cannot be verified. To tackle this problem, a unified model checking approach is presented in this paper where a program to be verified is written in a Modeling, Simulation and Verification Language (MSVL) program M and a desired property is specified by a Propositional Projection Temporal Logic (PPTL) formula P. Different from the traditional model checking approach, the negation of the desired property is translated into an MSVL program M' first. Then whether P is valid on M can be checked by evaluating whether there exists an acceptable execution of the new MSVL program "M and M'". This problem can be efficiently conducted with the compiler of MSVL namely MSV. The proposed approach has been implemented in a tool called UMC4MSVL. Experiments show that UMC4MSVL is efficient in verifying temporal properties of real-world programs.
Architectural hardware design of modulator and demodulator for galvanic coupling intra-body communication

In this work, galvanic coupling intra-body communication (IBC) is presented as a promising approach for wireless personal health monitoring system. The architectural hardware design of a QPSK modulated data communication system for galvanic coupling IBC is proposed. The channel characteristics of the human body are first reviewed. Hardware design is performed using VHDL codes and realized in FPGA devices. ModelSim and Quartus II design environment are used for the functional and timing verification. The whole design is efficiently fitted into an Altera Cyclone II 2C35 FPGA chip. The proposed solution has shown its feasibility in the study of galvanic coupling IBC at the physical layer. Moreover, the whole design is flexible for the functional enhancements such as channel coding and channel equalization in the future research.
Simulation of karst hydrological processes using GM(1,1) metabolic model

In this paper, the GM(1,1) metabolic model was applied to simulation of the spring discharge of Niangziguan Springs. We identified the models by error analysis and found that the GM(1,1) metabolic models with data sequence of seven and eight dimensions can reflect the future variation of the springs flow. The results showed that the predicted spring flow of the models with data sequence of seven dimensions were larger than those of eight dimensions. The models provided with a range of the spring discharge. The Niangziguan Spring flow was supposed to be declining. The upper limit of Niangziguan Springs flow was likely to decrease from 6.91 to 6.73 m3/s during 2008 to 2012. Accordingly the lower limit was likely to decrease from 6.83 to 6.57 m3/s during the same period of time. The continuous decaying of Niangziguan Springs flow stressed that karst groundwater exploitation and economic activities disturbed groundwater circulation that have exceeded natural supplement.
A Hyperspectral Imagery Anomaly Detection Algorithm Based on Gauss-Markov Model

Anomaly detection is an important fore-processing part in the hyperspectral imagery analysis chain because it can reduce the huge amount of raw data. In the conventional hyperspectral anomaly detection algorithm, the spatial correlation of the background clutters is often neglected. Moreover, the computational costs render the algorithm ineffective without significant data amount reduction. In this paper, an improved anomaly algorithm is proposed, assuming that the background clutter in the hyperspectral imagery is a three-dimensional Gauss-Markov random field. That is, each interested target may be considered with its contiguous regions during detection. The further anomaly detection algorithm is realized by constructing detection operator based on Gauss-Markov estimation parameters in hyperspectral imagery. Simulation results show that the proposed anomaly detection method based on Gauss-Markov model is more effective than the popular detection algorithm in hyperspectral remote sensing imagery.
Adaptive Sliding Mode Control for Hydraulic Flexible Manipulator Based on Two-Parameter Singular Perturbation Method

This paper is concerned with the mathematical modeling and the application of a new position tracking control technique for a three-link hydraulic flexible manipulator. Considering the complexity of the dynamic model, and Based on two-parameter singular perturbation theory, it is divided into a fast subsystem driven by hydraulic servo, a secondary slow subsystem describing the large rigid motion and a secondary fast subsystem expressing the elastic vibration. A cooperative controller is given to control of rigid body motion and vibration suppression by adaptive sliding mode control and optimal control, respectively. Finally, the numerical simulation results demonstrate the effectiveness of the proposed method.
From Face Recognition to Kinship Verification: An Adaptation Approach

Kinship verification in the wild is a challenging yet interesting issue, which aims to determine whether two unconstrained facial images are from the same family or not. Most previous methods for kinship verification can be divided as low-level hand-crafted features based shallow methods and kin data only trained convolutional neural network (CNN) based deep methods. Worthy of affirmation, numerous work in vision get that convolutional featu res are discriminative, but bigger data dependent. A fact is that for a variety of data-limited vision problems, such as limited Kinship datasets, the ability of CNNs is seriously dropped because ofoverfitting. To this end, by inheriting the success of deep mining algorithm s on fa ce verification (e.g. LFW), in this paper, we propose a Coarse-to-Fine Transfer (CFT) based deep kinship verification framework. As the idea implied, this paper tries to answer "is it possible to transfer a fa ce recognition net to kinship verification?". Therefore, a supervised coarse pre-training and domain-specific ad hoc fine re-training paradigm is exploited, with which the kinrelation specificfeatures are effectively capturedfromfaces. Extensive experiments on benchmark datasets demonstrate that our proposed CFT adaptation approach is comparable to the state-of-the art methods with a large margin.
Monte Carlo simulation of temporal behavior of surface charging across insulator at flashover initial stage in vacuum

The temporal behaviors of charging on insulator surface at flashover initial stage is studied under dc voltage in vacuum. It suggests that the surface charging process develops synchronously with multipactor phenomena. A saturated region is firstly formed nearby the cathode triple junction (CTJ), and the insulator surface is charged gradually from cathode toward anode as the multipactor develops forward. The surface charge density increases linearly with applied electric field, but a stronger applied electric field will slow down the charging velocity as the results of violent collisions of secondaries with dielectric surface due to the stronger normal field built by surface charges. The charging velocity mainly depends on the secondary electron yield (SEY) for dielectric, i.e., the higher SEY, the greater the charging velocity is. The emitter height from CTJ has great influence on surface charging at areas adjacent to cathode, but little effect on charging behaviors at other areas. Once the multipactor is triggered by adequate initial electrons released from cathode, the surface will be charged spontaneously even if the field emission process at cathode is terminated, implying the generation of secondary electrons turns into a self-sustaining process. This study strongly supports the speculation in our previous publications regarding the mechanisms of stable luminescence preceding flashover, which is attributed to be initialized by Fowler-Nordheim emission of electrons at CTJ and finally generated by the radiative de-excitation of excited atoms/molecules in the self-stabilizing secondary electron emission (SSEE) process.
The Oxidative Damage Induced by Di-n-Butyl Phthalate on Liver Cells of Wistar Rats

Di-n-butyl phthalate (DBP) was used in the plastic industry and widely distributed in the environment, which might cause adverse effects to living organisms. Previously, it had been shown that DBP produced reproductive, developmental toxicity and liver enlargement in rodents, and the mechanisms behind this could involve oxidative injury. To study the effects of DBP on the acute oxidative damage, the liver cells of Wistar rats were exposed to different concentration of DBP (0, 5, 20 and 80 μmol•L-1) for one hour in vitro, then Nitro blue tetrazolium (NBT)-illumination method, Thiobarbituric acid (TBA) assay and KCl-SDS assay were used to measure the change of the activities of surperoxide dismutase (SOD), the contents of malondialdehyde (MDA) and the coefficient of DNA-protein crosslinks (DPC) respectively. With the increase of DBP concentrations, statistical significant decrease of the SOD activities, increase of MDA contents and DPC coefficient were observed. These results suggested that DBP could induce the acute oxidative damage in liver cells of rat.
Filtering method research on laser thickness measuring for thin plates

Sub-filtering is a dynamic collecting method that point to establish a decision rule. Through feature analysis of actually measured data of thin plate sample, and divided them into edge drop zone, mid-continental region and overlap parts. the analysis shows that variation of plank width and thickness has the similar change to marginal thickness reduction, which means Cc and Ce increase along with plank width and thickness value increase. However, width variation influence is far smaller than that of thickness variation. On the basis of total samples medial-filter pretreatment, 6 exponent polynomial fit was carried on edge-drop-zone data, and 26-point recursive process mid-continental-region data, normalize process and quadratic fit the recursive data of overlap part from edge drop zone and mid-continental region, contrast of the wave filtering under different parameter condition shows this method has achieved the desired effect of filtering, so that the measurement accuracy reached micron-level.
The optimal design of wheeled robot tracking system

One single neuron PID control algorithm based on Elman neural network identification to optimize design of wheeled robot tracking system is proposed in this paper. The error between predetermined path and actual running track of the system is employed as the input of controller for single neuron PID control algorithm based on Elman neural network identification. Neuronal synaptic weights are constantly adjusted online by controller, which outputs a signal to control the motor drive module to adjust the steering and speed of servo motor. The control algorithm proposed in this paper is combined with the L298N chip for the first time. The function of robot self-steering is realized by differential steering of two servo motor. The algorithm is tested by Matlab software, the results suggests that the control effect in is obviously superior to the traditional PID control schemes.