nils-herrmann/clean_scirepeval huggingface dataset:
A PI type self-tuning fuzzy controller with receding horizon optimization

This work presented a PI type fuzzy controller considering the error and the change rate of error. Based on this structure, we work out a method to tune the parameters of the PI type fuzzy controller online. In order to improve further the performance of the fuzzy controller, the optimization control supervised the under level controller by minimizing a generalized predictive control criterion. A simple and sufficient bound condition of input and output variable is achieved under the Lyapunov theory through the brief analysis. Simulation results are made to demonstrate the fine performance of these novel fuzzy controller structures.
An experimental study on the locomotion performance of elliptic-curve leg in muddy terrain

Adapting to the complex environment is significant for field robots. The field robots equipped with elliptic-curve legs which combine the advantages of legs and wheels, have achieved a good locomotion performance in terrain, while the leg-terrain dynamics has not been explored intensely, especially elliptic-curve legs passing through the soft substrate, such as muddy terrain. In this paper, an experimental platform for locomotion performances of elliptic-curve legs in muddy terrain is designed. With the platform, locomotion parameters of the elliptic-curve legs including forward speed, propulsion force, and torque output can be recorded and analyzed. The influences from the shapes of legs and the water content of muddy substrates are studied. The results indicate that the propulsive efficiency is higher when reducing the rotating speed of elliptic-curve legs in a higher water content substrate, and there are an optimal rotating speed for certain shapes of the legs to achieve a higher forward speed, which is meaningful for the mechanical design and the control of the field robots.
Simulation study on defense process of space targets

A ballistic missile is one of the main targets of space target defense and often has an established trajectory. As the target, we are only interested in its trajectory. The intercepting missile, as a defense body, controls itself toward the target according to the target state observed information and the control strategies in real time. So, the kinematic equations, the dynamic equations and the control equations of the intercepting missile based on “transient equilibrium” hypotheses are more studied in detailed. In order to attack the target with the proportional guidance law in a three dimensional space, the dynamic equations of the proportional guidance law are established in two orthogonal planes which are projected onto by the motions of the missile and the target in the space. In the simulation phase, a distributed computer simulation system is established and the entire defense process is achieved in real time.
Domain decomposition methods of FE-BI-MLFMA for 3D scattering problems

The domain decomposition methods (DDMs) have been applied to the hybrid finite element - boundary integral - multilevel fast multipole algorithm (FE-BI-MLFMA) and significantly improve its efficiency in recent years. These fast DDMs can be roughly classified into two types: Schwarz DDM and dual-primal finite element tearing and interconnecting (FETI-DP) DDM. This paper will give overview of the DDMs development of FE-BI-MLFMA. Then a uniform, consistent, and efficient formulation is presented and discussed for these fast DDMs of FE-BI-MLFMA. Their computational complexities are analyzed and studied numerically.
An in-depth modeling and analysis of pressure-compensated flow control valve

This paper presents an in-depth modeling of a pressure-compensated flow control valve (PC valve) by making its physical meaning more understandable and analysable. Proper simplification is used to describe the internal principles of control laws. Theoretical analysis of the relation between the design parameter and the performance based on the valve model is described. The result of this method is coincident with that of an unreduced model.
Patient outcome prediction via convolutional neural networks based on multi-granularity medical concept embedding

The large availability of biomedical data brings opportunities and challenges to health care. Representation of medical concepts has been well studied in many applications, such as medical informatics, cohort selection, risk prediction, and health care quality measurement. In this paper, we propose an efficient multichannel convolutional neural network (CNN) model based on multi-granularity embeddings of medical concepts named MG-CNN, to examine the effect of individual patient characteristics including demographic factors and medical comorbidities on total hospital costs and length of stay (LOS) by using the Hospital Quality Monitoring System (HQMS) data. The proposed embedding method leverages prior medical hierarchical ontology and improves the quality of embedding for rare medical concepts. The embedded vectors are further visualized by the t-Distributed Stochastic Neighbor Embedding (t-SNE) technique to demonstrate the effectiveness of grouping related medical concepts. Experimental results demonstrate that our MG-CNN model outperforms traditional regression methods based on the one-hot representation of medical concepts, especially in the outcome prediction tasks for patients with low-frequency medical events. In summary, MG-CNN model is capable of mining potential knowledge from the clinical data and will be broadly applicable in medical research and inform clinical decisions.
Collision-free navigation for mobile robots by grouping obstacles

This paper presents a path planning strategy for mobile robot navigation with a laser range finder (LRF) in unknown environments. The strategy takes the view of field into consideration and achieves a safe navigation. The strategy can deal with different obstacles with irregular contours through extracting their features and grouping obstacles rather than approximating obstacles as circular objects with a minimum radius. The strategy was tested with extensive simulations in some typical environments such as "door", U-shaped obstacles and the results revealed that the proposed strategy can achieve an effective procedure for avoiding obstacles while generating smooth paths in an environment with different configurations of multiple obstacles.
Construction and Realization of a New Class M-Sequence

The m-Sequences have been widely used in many areas such as telecommunication, cryptology, navigation and radar. Due to the difficulties of constructing the feedback functions of M-sequences, a new method of constructing one class M-sequence and its feedback function were presented. A sub-function Y was formed by remodeling the M root-sequence states diagram. To affix sub-function y to the feedback function fM of M root-sequence, a new class M-sequence feedback function f'M was obtained. Meanwhile, the corresponding analysis demonstrates that this type of sequence has the desirable pseudorandom characteristic. The sequences are realized in practice and proved to be satisfactory and desirable.
A Scalable Multiharmonic Surface-Potential Model of AlGaN/GaN HEMTs

An accurate physical model for GaN high-electron-mobility-transistors (HEMTs) device is imperative and crucial for circuit design and technology optimization. In this paper, a scalable large-signal surface-potential (SP) model of AlGaN/GaN HEMTs is presented. The drain current model is capable of accurately modeling the self-heating effect and trapping effect. The self-heating effect is modeled by embedding temperature increment into free-carrier mobility model, and the trapping effect is modeled by introducing an indirect variable effective gate voltage <inline-formula> <tex-math notation="LaTeX">$V_{\mathrm {gseff}}$ </tex-math></inline-formula>. Moreover, the scaling and multiharmonic characteristics of the SP model are studied for the first time. The geometry-dependent thermal resistance <inline-formula> <tex-math notation="LaTeX">$R_{\mathrm {ths}}$ </tex-math></inline-formula> is identified by the electrothermal finite-element method simulations, which is scalable with the gate width W and power dissipations <inline-formula> <tex-math notation="LaTeX">$P_{\mathrm {diss}}$ </tex-math></inline-formula> of the device. Single-tone on-wafer load–pull measurements at operating frequency 8 GHz is carried out for verification purpose. Accurate predictions of the static (dc) <inline-formula> <tex-math notation="LaTeX">$I\!-\!V$ </tex-math></inline-formula>, pulsed-gate-and-drain <inline-formula> <tex-math notation="LaTeX">$I\!-\!V$ </tex-math></inline-formula>, S-parameters up to 40 GHz and large-signal harmonic performance (the fundamental, second- and third-harmonics output power, and power-added efficiency) for the devices with different gate peripheries have been achieved by the proposed model. The results of this paper can pave the way for the full application of the physical-based model in circuits design.
Change detection of the Tangjiashan barrier lake based on multi-source remote sensing data

The paper uses the approach of NDWI model to extract the water bodies of the Tangjiashan barrier lake from the multi-source satellite images of ALOS AVNIR-2 and CBERS-02B CCD and detects the changes of the barrier lake pre- and post-earthquake. The result shows that the river widen through Zhangping area increased from 92 m on Mar. 31, 2007 for per-earthquake to 420 m on May 16, 2008 and 474 m on May 18, 2008 for post-earthquake. And the area of barrier lake in the study area increased from an surface area of 0.6938 km2 on Mar. 31, 2007 for pre-earthquake to 1.2842 km2 on May 16, 2008 and 1.3658 km2 on May 18, 2008 for post-earthquake.
Decentralized Event-Triggered Control for Large-Scale Networked Fuzzy Systems

This paper addresses event-triggered data transmission in a class of large-scale networked nonlinear systems with transmission delays and nonlinear interconnections. Each nonlinear subsystem in the considered large-scale system is represented by a Takagi–Sugeno model, and exchanges its information through a digital channel. We propose an event-triggering mechanism, which determines when the premise variables and system states should be transmitted to the controller. Our goal is to design a decentralized event-triggered state-feedback fuzzy controller, such that the resulting closed-loop fuzzy control system is asymptotically stable while the measured information is transmitted to the controller as little as possible. By using the input delay and perturbed system approaches, the closed-loop sampled-data fuzzy system with event-triggered control is first reformulated into a continuous-time system with time-varying delay and extra disturbance. Then, based on the new model, we introduce a Lyapunov–Krasovskii functional with virtue of Wirtinger's inequality, where not all of the Lyapunov matrices are required to be positive definite. The codesign result is derived to obtain simultaneously the controller gains, sampled period, network delay, and event-triggered parameter in terms of a set of linear matrix inequalities. Finally, two simulation examples are provided to validate the advantage of the proposed method.
A Robust Method for Generating Discriminative Gene Clusters

Microarray technology is often used to identify the genes that are differentially expressed between two biological conditions. Since microarray datasets contain a small number of samples and a large number of genes, it is not difficult to find small gene subsets which are highly discriminative. However, such identified classifiers tend to have poor generalization properties on the test samples due to overfitting. We propose a novel approach for generating discriminative gene clusters. Our experiments on both simulated and real datasets show that our method can generate a series of robust gene clusters with good classification performance.
Adaptive fuzzy logic depth controller for variable buoyancy system of autonomous underwater vehicles

This paper presents an adaptive fuzzy logic controller for the variable buoyancy system (VBS) of an autonomous underwater vehicle (AUV). The control structure includes a fuzzy large range depth controller (LRDC) and a fuzzy small range depth controller (SRDC). The depth controllers bring the AUV to a desired depth by decreasing buoyancy, then descending to the desired depth and then restoring neutral buoyancy. Fuzzy rules adaptively determine the critical depth points for ballast adjustment based on a key parameter of the AUV dynamic model. This paper gives an explanation of the fuzzy rule base for the LRDC and presents preliminary simulation results of the LRDC.<<ETX>>
A power distribution model of magnetic resonance WPT system in seawater

Magnetic resonance wireless power transfer (WPT) in the marine environment can be employed in the charging system for underwater vehicles. Seawater submersion of a WPT system results in additional energy loss through eddy current generation. In this paper, by equating the input power to the summation of power delivered to the load, consumed by transmitter and receiver coil resistances, and consumed by seawater eddy current generation, we developed a novel power distribution model where equivalent eddy loss impedances are added into primary and secondary side circuits simultaneously accounting for the power lost in seawater. This power distribution model was then verified against experimental results, laying the foundation to optimize seawater submerged WPT system in future work.
Chemical Mechanisms of Bacterial Inactivation Using Dielectric Barrier Discharge Plasma in Atmospheric Air

Nonthermal plasma generated by parallel-plate dielectric-barrier discharge with 60-kHz high-voltage power was used to sterilize the bacteria in atmospheric air. Two kinds of typical bacteria, gram-negative E. coli (ATCC8099) and grampositive S. aureus (ATCC6538), were used as test strains. Bacteria cells held by cover-glass were placed on the bottom electrode. By adjusting the applied voltage, gap spacing, and treatment time, the effects of plasma and electric field on bacteria inactivation were investigated. The transmission electron microscope was used to observe the damage of cells treated by plasma. The concentrations of K+, protein, and nucleic acid leaked from cells were measured for detecting the cytoplasm status after plasma treatment. Experimental results showed that almost 100% of S. aureus and E. coli strains were killed in less than 10- and 7-s plasma treatment, respectively. It is concluded that the reactive oxygen species (ROS) in plasma play a dominant role in the inactivation process but not the electric field. It is supposed that the ROS can oxidize the cell membrane and then damage the protein and nucleic acid inside the cells and, thus, kill the bacteria.
Micromachined terahertz waveguide band-pass filters

Three waveguide band-pass filters are designed based on three different resonant cavity structures, operating at WR-2.2 (0.33∼0.5THz), WR-1.5 (0.5∼0.75THz) and WR-1.0 (0.75∼1.1THz) frequency band separately. Terahertz filters are all fabricated using the deep reactive ion etching (DRIE) silicon micromachining technique. For more accurate designs, the conductivity of the metal film with the roughness surface is investigated in the terahertz frequency band, using the HB and the modified Huray model. The measurements are performed using the vector network analyzer (VNA) with corresponding frequency extenders. Measured insertion losses within pass band are about 1.9dB, 2dB and 3.4dB respectively, which are in good agreement with simulations and therefore verifies the accuracy of the analysis above.
On a CPG-Based Hexapod Robot: AmphiHex-II With Variable Stiffness Legs

Amphibious robots have attracted more and more attention from researchers for their broad applications, while it also brings great challenges in designing appropriate propulsion mechanisms and effective control algorithms. In this paper, we reported a newly designed amphibious hexapod robot-AmphiHex-II. This robot possesses six newly designed variable stiffness legs for adapting various complex environments. This novel design of the variable stiffness leg seamlessly incorporates the advantages of both semicircular walking legs and the swimming flexible flippers. The legs are constructed by rigid fan-shaped frames, which work as walking legs for terrestrial locomotion and protect the contained flexible flippers used for aquatic locomotion during terrestrial operations. The stiffness of legs can be adjusted to an effective degree by adjusting the positions of sliders manually. The effect of variable stiffness on locomotion performance was experimentally investigated. Moreover, in order to achieve a smooth and quick gait transition, a central pattern generator neural network was introduced to control the system. Different gait generation strategies on land and underwater were demonstrated. A series of field experiments were carried out to evaluate locomotion performance of the AmphiHex-II for terrestrial and aquatic mobility, and the results demonstrate the advantages of the novel leg design and the control system.
A Policy-Based Framework for Designing Strategies for Service Negotiation

At the present stage, automated service negotiation faces a dilemma. On the one hand, it's autonomous such that agents are capable of making decisions about what actions to take without constantly referring back to its user (Wooldridge and Jennings, 1995). On the other hand, the system is trustworthy in the sense that the agents should make their users believe that it will act to achieve their business goals (i.e. the users are able to guide and control the behalf of agent). To deal with conflicts between "autonomous " and "trustworthy ", this paper represents a policy-based framework which composes of information and policy part. Information part provides knowledge and policy part control agent negotiation strategy. Under this framework, users define their business goals in abstract policy. Then, the abstract policy is refined to concrete policies whose strategy can be implemented by different heuristic methods. Thus, the framework helps to eliminate the conflict between "autonomous" and "trustworthy". After describing the framework, we then went on illustrating its use in our prototype system.
An embedded multilayer LTCC bandpass filter used in transceiver module

This paper deals with an embedded multilayer LTCC interdigital bandpass filter. This compact filter is used in LTCC transceiver module to suppress the unnecessary frequency components in LO branch. According to validation, measured results are in good agreement with simulated results. The passband insertion loss and stopband suppression at concerned frequency points accomplishes suppression desires very well. Experimental results demonstrate that the proposed filter is suitable for LTCC transceiver module applications.
Planar Efficient Metasurface for Vortex Beam Generating and Converging in Microwave Region

In this paper, single-layer transmission-type metasurfaces are proposed to generate a converged vortex beam and vortex beams with different topological charges. A new metasurface design is used to generate the vortex beam, in which the required accumulated phase difference along the propagation path is realized by designing and arranging artificial single-layer unit cells. Furthermore, the converged vortex beam is generated by metasurface that superimposes the phase distribution for the vortex beam and converged beam. The transmitted efficiency of the metalens can reach 20% as designed, which approaches to the efficiency limit of this type of metasurface.
Robot manipulation using image-based visual servoing control with robust state estimation

In unstructured environment, this paper presents an image-based visual servoing control approach with robust state estimation for robot manipulation. The image Jacobian on-line identification problems are firstly addressed by introducing neural network (NN) aid Kalman filtering (KF) schema. The neural network plays exactly the role of the error estimator, to compensate the state-estimation-errors of KF. Then the proposed image-based visual servoing control approach has guaranteed the robustness with respect to destabilized system attached dynamic noises. Furthermore, the presented approach without requiring the intrinsic and extrinsic parameters of the camera, also the hand-eye do without calibrated during robot manipulation. To demonstrate the validity and practicality of proposed image-based visual servoing approach, various robot positioning experiment results have been presented using a six-degree-of-freedom robotic manipulator with eye-in-hand configurations.
Integrating GSM Technology for the Public Transportation Guidance System

In this paper, we describe a system offering a solution to the problem of public transportation guidance. It is based on the integration of geographic information system (GIS) and global system for mobile communication (GSM) technologies. A significant operation for the handling of public transportation guidance system is the routing of passengers to their destinations. The response time of a real-time system like ours to such queries is of vital significance. By using efficient data structures for the implementation of the graph representing the bus network, the time performance of the shortest-path algorithm can be enhanced. Incorporating the efficient algorithm within the GIS will increase our system's viability. The developed system is implemented with Guangzhou containing 471 routes and 1040 stops. The test result indicates that the description, model and algorithm proposed in this paper are effective
Land surface temperature retrieval using HJ-1B/IRS data and analysis of its effect

The HJ-1 A/B satellite of China is widely used to monitor pollution, ecosystem destruction and natural disasters. Land surface temperature (LST) is required for a wide variety of scientific studies, from climatology to hydrology and ecology. In this paper, we propose Jimenez-Mufloz and Sobrino (JM&S) single-channel algorithm for retrieving LST from the infrared scanner (IRS) data of HJ-1B. Firstly, we got radiation intensity and brightness temperature from HJ-1B data. Then we calculated the atmospheric water vapor content with MODIS data. Afterwards, the emissivity was acquired with normalized difference vegetation index (NDVI). Finally, we retrieved LST with JM&S single-channel algorithm with these parameters. Through comparing LST retrieved from HJ-1B/IRS and MODIS LST product, we find that HJ-1B/IRS LST is basically consistent with the MODIS LST. Therefore, owing to high temporal resolution and large width, HJ-1B will play an important role on the research of LST retrieval.
Service Composition Pattern Generation for Cloud Migration: A Graph Similarity Analysis Approach

The demands of migrating existing on-premises complex enterprise applications to cloud dramatically increase with the wide adoption of cloud computing. A recent research validates the possibility to combine multiple proprietary migration services offered by different vendors together to complete cloud migration. Pattern based service composition has been proven as an appealing approach to accelerate the service composition and ensure the qualities in the Service Oriented Architecture (SOA) domain and can be applied to the cloud migration service composition theoretically. However, current pattern generation approaches are not applicable for the cloud migration due to lack of either existing cloud migration business process knowledge or execution logs. This paper proposes a novel approach to generate cloud migration patterns from a set of service composition solutions. We formalize the pattern generation as a special graph similarity matching problem and present an algorithm to calculate the similarity of these service composition solutions. Patterns are chosen out of the solutions by similarity with designed criteria. The benchmark results and quantitative analysis show that our proposed approach is effective and efficient in pattern generation for cloud migration.