nils-herrmann/clean_scirepeval huggingface dataset:
Decentralized Stabilization of Nonlinear Multiple Time-Delay Interconnected Systems via H-infinity Fuzzy Control

A robustness design of Hinfin fuzzy control is proposed in this paper to overcome the effect of modeling error between nonlinear multiple time-delay systems and fuzzy models. In terms of Lyapunov's direct method, a stability criterion is hence derived to guarantee the UUB (uniformly ultimately bounded) stability of nonlinear multiple time-delay interconnected systems with disturbances. Based on this criterion and the decentralized control scheme, a set of fuzzy controllers is then synthesized via the technique of parallel distributed compensation (PDC) to stabilize the nonlinear multiple time-delay interconnected systems and the Hinfin control performance is achieved in the mean time.
Line-based image coding using adaptive prediction filters

This paper proposes a line-based approach for image coding. Unlike conventional block-based image coding, the proposed method takes one line as a basic unit in coding and reconstruction. Such a structure allows us to perform better predictions between neighboring units and affords us more flexibility when coding each unit. We also present an efficient prediction method using adaptive prediction filters for this structure. Based on the neighboring information, we apply the best prediction filter on each line to get high-quality predictions. We show that the proposed line-based coding can perform comparatively or even better than the state-of-the-art block-based coding. When combing line-based and block-based coding together, the state-of-the-art image coding can be much improved.
Design and Implementation of Probability-Based Scoring Function for Peptide Mass Fingerprinting Protein Identification

Protein identification through high-throughput mass spectrum data is an important domain in proteomics. Peptide mass fingerprinting (PMF) is one of the major methods for protein identification using the mass-spec technology. We developed a software package called "ProteinDecision" for PMF protein identification, together with a user-friendly graphical interface. "ProteinDecision" can handle the issues of selecting peaks from mass spectrum, transforming database format, displaying the top ranks of identification result, and detailed information for each ranking. We used a novel scoring function by considering the distribution of matching a mass-to-charge and peak intensity in a database based on the MOWSE table. Our new scoring function is assessed better than existing ones by comparing the computational results using experimental PMF data. A standalone version of "ProteinDecision" is freely available upon request
50-nm Asymmetrically Recessed Metamorphic High-Electron Mobility Transistors With Reduced Source–Drain Spacing: Performance Enhancement and Tradeoffs

Whereas gate-length reduction has served as the major driving force to enhance the performance of GaAs- and InP-based high-electron mobility transistors (HEMTs) over the past three decades, the limitation of this approach begins to emerge. In this paper, we present a systematic evaluation of the impact of greatly reduced source-drain spacing on the performance of 50-nm asymmetrically recessed metamorphic HEMTs (MHEMTs). Extremely high extrinsic transconductance has been achieved over a wide drain bias range starting from as low as 0.1 V by reducing source-drain spacing to 0.5 μm with a self-aligned (SAL) ohmic process. The measured maximum extrinsic transconductance of 3 S/mm is a new record for all HEMT devices on a GaAs substrate and is equal to the best results reported for InP-based HEMTs. With the use of an asymmetric recess, SAL MHEMTs also demonstrate remarkable improvement in other major figures of merit, including off-state breakdown, on-state breakdown, subthreshold characteristics, ION/IOFF ratio, and the voltage gain over the other SAL HEMTs reported so far. However, they still, in a few respects, under perform the conventional devices typically with 2-μm source-drain spacing. In particular, the on-state breakdown of the SAL devices has been capped at approximately 2 V, even with a very wide asymmetric recess. It appears that the uniqueness of the SAL technology would best fit applications that require low voltage and/or low DC power consumption, which can be fully tapped only when the parasitic capacitance is also properly controlled with, e.g., a high stem gate process.
Energy distributed update steps (EDU) in lifting based motion compensated video coding

Subband video coding is an elegant scheme to fulfill high performance scalable video coding. In this paper, a new update scheme, energy distributed update steps (EDU), is proposed for the temporal transform in lifting based motion compensated video coding. The idea is to update where predict is made by distributing high-pass signals to the low-pass frame. The scheme avoids complex and inaccurate inversion of the motion information that used in the traditional update steps, thus it reduces computations in temporal transform. Experimental results show that the coding performances can be improved up to 0.77 dB.
Local Planning of AUV Based on Fuzzy-Q Learning in Strong Sea Flow Field

This article integrated reinforcement learning with fuzzy logic method for AUV local planning under the strong sea flow field. A fuzzy behavior is defined to resist the sea flow by giving a extra angle towards sea flow. And Q-learning is used to adjust the peak point of fuzzy membership function of the resisting sea flow behavior. This behavior is complemented by two other behaviors, the moving-to-goal behavior and collision avoiding behavior. The recommendations of these three behaviors are integrated through adjustable weighting factors to generate the final motion command for the AUV. Simulation shows it improve the adaptability of AUV under different sea flow greatly.
Modified Morlet wavelet neural networks for fault detection

Wavelet neural networks (WNN) combining the properties of the wavelet transform and the advantages of artificial neural networks (ANNs) have attracted great interest and become a popular tool for various fields of mathematics and engineering. We describe here the application of the modified Morlet based WNN to the fault detection of rotating machinery. The activation functions of the wavelet nodes in the hidden layer are derived from a modified Morlet mother wavelet. In this paper, the wavelet network architecture for intelligent fault detection is first introduced. Then an optimization method of neural network and a training algorithm is developed. Finally, feedforward backpropagation neural network (BP) and wavelet neural networks are compared for fault detection. The aim of this study is to examine the effective of the modified Morlet WNN model for fault detection. Experiment results shows that the modified Morlet WNN has advantages of rapid training, generality and accuracy over feedforward backpropagation neural network.
A Robust Person Tracking and Following Approach for Mobile Robot

The ability to detect and follow a specific person is considered to be a key prerequisite of service mobile robots in indoor environments. A novel vision-based tracking and following method for a mobile robot is proposed, which combines the clothes color features of the person's upper body and the contour of the head-shoulder. Horizontal-Projecting Probability Histogram (HPPH) of torso based on particular color clothes of upper body is proposed for extracting the pattern features, and the contour matching method by the head-shoulder is integrated to reduce the false positive detection rate, which significantly improves the tracking reliability. The proportional compensation method is utilized to enable the robot to follow the targeted person. Experimental results validate the robust performance of the approach.
Face Recognition Using Spatially Constrained Earth Mover's Distance

Face recognition is a challenging problem, especially when the face images are not strictly aligned (e.g., images can be captured from different viewpoints or the faces may not be accurately cropped by a human or automatic algorithm). In this correspondence, we investigate face recognition under the scenarios with potential spatial misalignments. First, we formulate an asymmetric similarity measure based on Spatially constrained Earth Mover's Distance (SEMD), for which the source image is partitioned into nonoverlapping local patches while the destination image is represented as a set of overlapping local patches at different positions. Assuming that faces are already roughly aligned according to the positions of their eyes, one patch in the source image can be matched only to one of its neighboring patches in the destination image under the spatial constraint of reasonably small misalignments. Because the similarity measure as defined by SEMD is asymmetric, we propose two schemes to combine the two similarity measures computed in both directions. Moreover, we adopt a distance-as-feature approach by treating the distances to the reference images as features in a kernel discriminant analysis (KDA) framework. Experiments on three benchmark face databases, namely the CMU PIE, FERET, and FRGC databases, demonstrate the effectiveness of the proposed SEMD.
Effect of disk surface asperity on statistic characteristics of air bearing films at the head/disk interface

As the spacing between the flying head/slider and the rotating disk in hard disk drives (HDDs) continues to decrease, some asperities on disk surface may lead to contacts and collisions between the magnetic head and disk, generating friction and wear which would then damage the working stability of HDD system. To investigate effect of disk surface asperity on static characteristics of air bearing films at the head/disk interface (HDI), Reynolds equation based on a linearized flow rate (LFR) model is solved by using a mesh-less method. The effects of asperity size and its location, the disk's rotating speed, the boundary pressure on the static characteristics of air bearing films are investigated. Numerical results show that the asperity's location on the disk surface has obvious effect on the pressure distribution of the air bearing film and its load carrying capacity.
A Novel Method of Fault Detection for Solenoid Valves Based on Vibration Signal Measurement

Solenoid valves are vital pieces of equipment which have been widely used in a variety of industries. Fault detection methods of solenoid valves play important role for improving their reliability and maintenance efficiency due to their high failure rates in the field. Therefore, a novel method of fault detection for solenoid valves based on vibration signal measurement is proposed in this paper. The vibration sensor is place on the top of the solenoid valve and the vibration signal is collected by Labview SignalExpress system. The amplitude of the signal is extracted by denoising algorithm based on Wavelet and analyzed to detect the working state with the help of health index. The method is not interfered by the power supply system, and the method enhance the ability to resist interference. Experimental platform was set up to validate the proposed method by injecting faults into the solenoid valve. Experimental results show that the method proposed can provide not only indications of whether or not the valve is functioning, but also the information of how well the valve is functioning, thus empowering condition-based maintenance operations.
Experimental Evidence of Improved Transthoracic Defibrillation With Electroporation-Enhancing Pulses

There is considerable work on defibrillation wave form optimization. This paper determines the impedance changes during defibrillation, then uses that information to derive the optimum defibrillation wave form.  Twelve guinea pigs and six swine were used to measure the current wave form for square voltage pulses of a strength which would defibrillate about 50% of the time. In guinea pigs, electrodes were placed thoracically, abdominally and subcutaneously using two electrode materials (zinc and steel) and two electrode pastes (Core-gel and metallic paste).  The measured current wave form indicated an exponentially increasing conductance over the first 3 ms, consistent with enhanced electroporation or another mechanism of time-dependent conductance. We fit this current with a parallel conductance composed of a time-independent component (g0=1.22plusmn0.28 mS) and a time-dependent component described by gDelta(1-e-t tau/), where gDelta=0.95plusmn0.20 mS and tau=0.82plusmn0.17 ms in guinea pigs using zinc and Cor-gel. Different electrode placements and materials had no significant effect on this fit. From our fit, we determined the stimulating wave form that would theoretically charge the myocardial membrane to a given threshold using the least energy from the defibrillator. The solution was a very short, high voltage pulse followed immediately by a truncated ascending exponential tail.  The optimized wave forms and similar nonoptimized wave forms were tested for efficacy in 25 additional guinea pigs and six additional swine using methods similar to Part I. Results Part II: Optimized wave forms were significantly more efficacious than similar nonoptimized wave forms. In swine, a wave form with the short pulse was 41% effective while the same wave form without the short pulse was 8.3% effective (p<0.03) despite there being only a small difference in energy (111 J versus 116 J).  We conclude that a short pulse preceding a defibrillation pulse significantly improves efficacy, perhaps by enhancing electroporation
Demonstration of GaN Static Induction Transistor (SIT) Using Self-Aligned Process

The rapid development of RF power electronics requires amplifier operating at high frequency with high output power. GaN-based HEMTs as RF devices have made continuous progress in the last two decades showing great potential for working up to G band range. However, vertical structure is preferred to obtain higher output power. In this paper, we have designed and fabricated GaN static induction transistor using the self-aligned technology, which was accomplished mainly by using a SiO2 lift-off step in buffered oxide etch (BOE). By optimizing the time in ultrasonic bath and in BOE, the SiO2 and the metal on top were removed completely which resulted in the gate metal only on the sidewalls. Both dry and wet etch techniques were investigated to reduce the gate leakage on the etched surface. The low power dry etch combined with the tetramethylammonium hydroxide wet etch can effectively reduce the etch damages, decrease the gate leakage and enhance the gate control over the channel.
Framework design for distributed service robotic systems

Service robot is one of the most promising industries in the future. Modular framework for designing and implementing a distributed service robot system including robot and intelligent environment is proposed. Components as sensors and actuators of a robotic system are standardized in both hardware and software design, resulting in an abstraction of digital smart devices with certain functions. A unified software platform with a core of Service-Oriented Architecture (SOA) middleware is established for the system. It employs the Player toolkit to access smart devices via drivers and interfaces, and the Web Service technology is introduced for automatic collaboration of smart services according to their functions. An implementation of a home-care service robotic system is described with 2D/3D realistic simulation. Experimental results validate the flexibility and open performance of the proposed demo system.
A novel closed-loop robotic fish experimental system based on ROS

As an excellent underwater biorobotics, robotic fish has got considerable development in recent decades. However the majority of researches assume that the flow field where the fish swims is a steady one, ignoring the fact that fish in nature has to deal with diverse flow fields. This takes part of responsibility for the low efficiency of robotic fish comparing with live one. In this paper, we present one experimental system which could form steady flow field and utilize the information collected from it on the robot as closed-loop control feedback. With this information we can infer the state of flow so that we can manipulate the robot to adopt corresponding swimming strategy which could increase the swimming efficiency markedly. To get information on the flow field we employ pressure transducer attached on the robotic fish prototype to detect the water surrounding the robot. And this system takes advantage of robot operating system (ROS) ensuring its flexibility and extensibility in future improvement. An experiment conducted on this platform indicates it can distinguish the speed of flow, verifying its feasibility and capability to conduct other experiments on closed-loop control.
Entropy-based clustering for improving document re-ranking

Document re-ranking locates between initial retrieval and query expansion in information retrieval system. In this paper, we propose entropy-based clustering approach for document re-ranking. The value of within-cluster entropy determines whether two classes should be merged, and the value of between-cluster entropy determines how many clusters are reasonable. What to do next is finding a suitable cluster from clustering result to construct pseudo labeled document, and conduct document re-ranking as our previous method. We focus clustering strategy for documents after initial retrieval. Experiment with NTCIR-5 data show that the approach can improve the performance of initial retrieval, and it is helpful for improving the quality of document re-ranking.
Fast Antenna Subset Selection Algorithm for MIMO Wireless Systems

Multiple-antenna wireless communication systems have recently attracted significant attention due to their higher capacity and better immunity to fading as compared to systems that employ single-sensor transceiver. Increasing the number of transmit and receive antennas enables to improve system performance but at the price of higher hardware cost and computational burden due to the multiple RF chains. Antenna selection is a low-cost low-complexity alternative to capture many of the advantages of MIMO systems. In this paper, we propose a new antenna selection algorithm with low complexity for wireless multiple-input multiple-output (MIMO) systems. The new algorithm is based on the analysis of the channel capacity. It achieves almost the same outage capacity as the optimal selection method while keeping lower computational complexity. The simulation results for quasi-static Rayleigh flat fading channel demonstrate the significant performance of the proposed selection algorithm
Enhanced coagulation of low turbidity and low temperature surface water by potassium permanganate composite pre-oxidation

Pilot scale experiments were carried out to find the principle of potassium permanganate composite (PPC) pre-oxidation enhanced coagulation for pollutants removal in low turbidity surface water during low temperature season. The results showed that significant enhanced coagulation effect can be achieved with PPC pre-oxidation. Furthermore, the small molecule organics were analyzed in this research and higher organic matters removal efficiency could be achieved in the PPC enhanced coagulation process.
Coding Distortion Elimination of Virtual View Synthesis for 3D Video System: Theoretical Analyses and Implementation

For a three dimensional video (3DV) system, coding distortion of texture videos and depth maps could be propagated to virtual views during the view synthesis procedure. In this paper, the coding distortion is considered in the virtual view synthesis. In order to reduce the coding distortion as well as improve the qualities of synthesized virtual views, Wiener filter is utilized in 3DV systems. To ensure that Wiener filter could be implemented on virtual views, the principles of virtual view synthesis and Wiener filter are presented and analyzed in detail. Subsequently, the implementation of Wiener filter is designed for 3DV system. In the proposed method, Wiener filter coefficients of each frame are calculated in the 3DV server, and then transmitted to the 3DV terminal. By employing those Wiener filter coefficients, post filtering on the virtual views could be implemented after the virtual view synthesis procedure. Experimental results demonstrate that a maximum 0.742 dB PSNR gain could be achieved when comparing the proposed method (taking the coding bits of depth maps, texture videos, and that of Wiener filter coefficients into consideration) with the virtual view synthesis method without Wiener filter at the same coding bit rate of a 3DV system.
Mobile Robot Localization Based on Improved Model Matching in Hough Space

Perceiving the position and orientation of the mobile robot in environment is an important element for an autonomous robot. This paper presents a novel method in which the classical Hough transform is introduced into localization of the mobile robot. To reduce ambiguity significantly, an improved more detailed sonar model is utilized. Firstly a local geometric map in the Hough space is built via the sonar system. Then the matching between a known map of the environment and a local map is performed in the Hough space. Finally this matching result is fused with odometry information by means of the extended Kalman filtering. The technique is especially adapted to indoor polygonal environments. Experimental results validate the favorable performance of this approach
Model Base Management System Meta Model Design

Aimed at lack generality and reusability in Model base management system, a set of Model Base Management System (MBMS) Meta-model was established by using lightweight extension of UML Profile, replaced the traditional method considering only the final table structure and DW system, and implemented the design of Model Base Management System on concept levels. This make the design of Model Base Management System accompanied as early as possible with the design of decision support system, enhanced the efficiency of the system development, and last the validity of the model was verified by the decision support system of an iron and steel enterprise.
3-D Affine Moment Invariants Generated by Geometric Primitives

3D affine moment invariants are derived in a convenient way in this paper. The property of volume of a tetrahedron is studied first under affine transformation. 3D affine moment invariants are constructed then by the multiple integrals of the combinations of this kind of geometric primitive. Numerical experiments of deformed models are conducted to certificate the invariance of the new 3D affine moment invariants given in this paper
A Broadband Printed Monofilar Square Spiral Antenna : A circularly polarized low-profile antenna.

This article presents a novel circularly polarized (CP) wide-band printed monofilar square spiral antenna (MSSA) with a low profile and 50-X input impedance, as well as a technique to improve the overlapped bandwidth and reduce the profile of a conventional MSSA. To extend the application of the present design to an array antenna, a square cavity is introduced. This simple and low-cost approach results in a wide-band printed MSSA with high directivity. To verify this design concept, antenna prototypes operating at Ku frequency band have been designed and fabricated. Simulation and measurement results show that the present designs have more than 16% 10-dB return loss and 3-dB axial ratio (AR) bandwidth within the same frequency range with high radiation efficiency. The beam-scanning performance of the array antenna using the present design was investigated, and the calculated results suggest that good CP performance is obtained during the beam scanning. The advantages of our MSSA design are wide overlapped bandwidth, low profile, flexibility in antenna performance tuning, and easy fabrication. The present antennas have the potential to be used in small satellites such as microsatellites and CubeSats for tracking, command function, and data downlink applications.