nils-herrmann/clean_scirepeval huggingface dataset:
Research on agent-based G-Net train group operation model

In order to satisfy the requirements of the railway transportation heading for intelligence, we research the modeling method of agent-based G-Net, construct the model of train group operation, analyze the conceptions and realization techniques of the model and give the structures and cooperative relations of the main agents. Compared with the existed model of train group operation system with object-oriented Petri subnet (TGOSOPS), the intelligence of the system is emphasized on many layers. Compared with the model of train operation Petri net with agents (TOPNA), we further improve the synchronization and asynchrony among the agents, divide the agents more definitely and give prominence to the principal agents of railway intelligent transportation system: trains and stations. Because the model has such characteristics as owning clear structure, fine extensibility and designing distributed program easily, the simulation system can be designed more reliably and effectively.
Analysis on the interference phase characteristics of man-made targets

The paper establishes the Interferometric Synthetic Aperture Radar (InSAR) echoes model taking the airport scene as an example. It has given the interference phase characteristics of man-made targets and analyzed the effects of the multipath scattering. Restrictions on the interference baseline of imaging system have been given in order to providing supports to study the man-made InSAR signal processing and imaging system.
A novel fault diagnosis expert system knowledge acquisition method of metro vehicle equipments

This paper is to propose a fault knowledge acquisition method for metro vehicles fault diagnosis at present, the lack of metro vehicles fault diagnosis knowledge and the difficulty of acquiring the fault diagnosis knowledge hinder the development of fault diagnosis for metro vehicles. On the basis of profounding analysis of the mechanism for the forming of metro vehicle faults, this method is to design a new fault diagnosis models and simulations. Then simulating results are to comprehensively analyzed and transformed into fault diagnosis knowledge available for the expert system. It's proved by application that this method improves the reliability of fault information acquisition, which attaches great importance in fault knowledge acquisition for complicated equipment, especially for equipment of metro vehicles.
A polarization-reconfigurable rectenna for microwave power transmission

A polarization reconfigurable rectenna, which consists of a polarization reconfigurable planar monopole antenna and a planar rectifying circuit, is proposed for microwave power transmission (MPT). The planar monopole is designed with one linear polarization (LP) and two circular polarizations (CPs). The rectifying circuit is connected to the antenna with a 50 Ohm microstrip line. The rectenna can harvest the RF power from 5.07 GHz to 5.86 GHz and convert it to DC power efficiently, exhibiting conversion efficiency from 40.2 % to 57.4 % with input power of 16.5 dBm. Simulated results are confirmed through the experiment.
A Local Rarest-Random-Heuristic Data Scheduling for P2P VoD System

Data scheduling is the key issue in peer-to-peer streaming system, especially in peer-to-peer VoD system. This paper mainly focuses on data chunks’ priority definition of data scheduling in peer-to-peer VoD system. After carefully studying the meanings of regular rarest first scheduling and random scheduling, a Local-Rarest-Random-Heurist (LR2H) scheduling is proposed in order to fully use the resources of strong peers in the system. LR2H fully considers the meanings of rarest first priority and random priority. It brings abundant copies of data chunks in the system by using part of rarest priority and it also avoids the concentrate request in some data chunks which have same rarest priority by adding a random jitter, and then maximize total priority of every scheduling by using heuristic algorithm. Simulation proves that LR2H has achieved a scheduling effect about 30% better than normal rarest first or random scheduling.
Design of 24GHz microstrip phased array antennas with low side-lobe

A 24GHz microstrip phased array antennas with high gain and low side-lobe is designed for antomotive anticollision radar in this paper. The proposed microstrip antenna array is fed by a series-parallel feeding network which can reduce loss of feed network and realize miniaturization of antenna on basis of satisfying requirement of each element of antenna array excited by the unequal amplitude. The simulation results show the 8×12 antenna array has a bandwidth of 1.1GHz. The maximum scanning angle is about ±30°, and the minimum gain about 25dB. In the process of scanning angle, the maximum beam width of E-plane and H-plane is 6°and 14.2°. And the first side-lobe level is −18dB and −19dB.
Harmonic compensation for variable speed DFIG wind turbines using multiple reference frame theory

This paper proposes novel methods to compensate the grid current harmonics by controlling the back to back converter of dual-fed induction generator (DFIG). The selected low-order harmonics is detected and calculated by a multiple reference frame harmonics estimator. The control methods of how to regulate the harmonics are developed for both the gridside converter (GSC) and the rotor-side converter (RSC) of the back to back converter attached to the DFIG. The harmonics regulator control for GSC and RSC are parallel with the main decoupled control of the back to back converter operating the DFIG wind turbine system to generate electrical power to grid. Matlab/Simulink is employed to investigate the performance of proposed methods.
Design and implementation of integrated front-end readout circuit for linear-array biosensors with chopper-stabilized operational amplifier

A readout circuit for the linear array pH sensor was designed and developed, using chopper stabilization technique. It consisted of analog multiplexer, chopper stabilized operational amplifier, level shift, filter and buffer stage. The operational amplifier used in this design was a folded cascade amplifier. Results showed that the circuit can reduce input offset, drift voltage and noise. Moreover, noise can be further reduced on a faster chopper frequency. This readout circuit can be used for measuring small signal of low frequency biosensor. The readout circuit design was implemented using TSMC 0.35um 2P4M standard CMOS process.
Cascadable Neuron-Like Spiking Dynamics in Coupled VCSELs Subject to Orthogonally Polarized Optical Pulse Injection

The cascadability of spiking dynamics in coupled vertical-cavity surface-emitting lasers (VCSELs) subject to orthogonally polarized optical pulse injection (OPOPI) is investigated numerically based on the well-known spin-flip model. For the coupled VCSELs systems, different connection topologies are considered. The effects of stimuli strength, coupling strength, frequency detuning between two coupled VCSELs, and the pump current on the cascadable spiking dynamics are examined by extensive numerical bifurcation analysis. It is found that, the phasic spike generated in one VCSEL with OPOPI can also induce a similar phasic spike in another VCSEL in three considered connection topologies. Besides, such a cascadable spiking behavior can be achieved in wide range of stimuli strength, coupling strength, and frequency detuning. However, failure transfer of the phasic spike between two VCSELs may be caused when the pump currents are relatively large, and hence, low pump currents are desirable for both VCSELs to allow for successful cascadable spiking dynamics. This work is interesting and valuable for constructing reliable optical spiking information processing platform based on polarization dynamics of VCSELs.
Construction of Fuzzy Classification System Based on Multi-objective Genetic Algorithm

This paper present a novel method based on multi-objective genetic algorithm to construct fuzzy classification system. First, in order to relieve the problem of "curse of dimensionality", a multi-objective genetic algorithm is used to accomplish feature selection and fuzzy partition with maximum classification performance and minimum number of features and minimum number of fuzzy rules, thus an initial fuzzy system is obtained. Then, a genetic algorithm is employed to select significant fuzzy rules with two objectives to achieve a compact fuzzy system. In order to improve the classification performance of the compact fuzzy system, a constrained genetic algorithm is utilized to optimize the parameters of the compact fuzzy system. The proposed approach is applied to the Iris and Wine benchmark problems, and the results show its validity.
Notice of RetractionLevenberg-Marquardt neural network for prediction of material mechanical properities

In this study we are trying with the Levenberg-Marquardt neural network model to make an effective prediction of material mechanical properties. By using second derivative information, the network convergence speed is promoted and the generalization performance is enhanced. Taking the wheat straw-reinforced composite for instance, the nonlinear mapping is set up from four influence factors (mold temperature, mold pressure, fibre content and time ) to its tensile strength and toughness. The simulation results show the founded network model has preferable learning and generalization capabilities, which performs effectively in predicting composite mechanical properties. Besides, the model is used to optimize process parameters of compression molding and find the range of best parameters.
A Theoretical and Experimental Study of Injection-Locked Fractional Frequency Dividers

Based on the derived general locking equations and harmonic enhancement mechanisms of a nonlinear oscillator, injection-locked fractional frequency dividers are studied in this paper to improve the performance. Both theoretical analyses and experimental validations are performed and compared in this paper. For demonstrative purposes, fractional frequency-division ratios R=omegain/omegaout=1.5, 2.5, 3.5, and 4.5 for a fundamental oscillating frequency f0=2 GHz are presented and analyzed. The locking ranges of these demonstrators achieve 407, 201, 147, and 85 MHz, respectively, while consuming relatively low dc powers. Meanwhile, the noise performance of the studied divider is also analyzed and validated in this paper.
Enhanced transdermal insulin delivery by electroporation

Insulin is the most effective drug for controlling the blood glucose of diabetes. But because of its large molecule weight and the physical and chemical character, its administration route is only limited in subcutaneous injection. In this paper we using side-by-side permeation chamber to illustrate the affection of high-voltage pulse to permeation of insulin through the skin of human cadaver, and analyzed the permeation changes during the pulse period and other influencing factor.
A Reliable and High-Bandwidth Multihop Wireless Sensor Network for Mine Tunnel Monitoring

Wireless sensor network (WSN) is considered here for remote monitoring of mine tunnels. Since mine transport and exploiting plane monitoring are the complex tasks that require video monitoring, a major challenge of remote mine tunnel monitoring is the multipath and diffraction effect due to unreliable channel and limited capacity. We propose here a braided cooperative reliable transport (BCRT) algorithm for reliable video transmission within mine tunnel. BCRT maintains one-hop reliability to ensure end-to-end reliability so that it is robust to path breaks. In addition, the BCRT-based WSN uses three consecutive forward neighbors to adjust the data rate to improve the sensing reliability. The proposed WSN is implemented in a real-life mine tunnel. And it is demonstrated to be able to enhance the reliability of the end-to-end monitoring of mine tunnels.
Broadband Low-RCS Metasurface and Its Application on Antenna

This paper presents a metasurface (MS) with broadband low radar cross section (RCS) and investigates its application on antenna. The MS is composed of polarization-dependent artificial magnetic conductors (PDAMCs) for backscattering cancellation. By orthogonally arranging the PDAMCs in a fencelike configuration, the scattering beam is deviated from specular direction, so that the MS achieves RCS reduction over a broad frequency band. As a potential application, the MS is employed to simultaneously promote the radiating and scattering performances of a slot antenna. Full wave simulations and measurements confirm that the novel antenna achieves broadband RCS reduction and significant gain enhancement compared with a reference antenna with metallic ground.
Compact dual-band BPF with SR and SMR for wideband and WLAN applications

A compact dual-band bandpass filter (BPF) with a slotline resonator (SR) and a short stub centre-loaded microstrip resonator (SMR) is proposed for wideband and wireless local area network (WLAN) applications. The high-impedance microstrip feedlines for the filter with the SMR can function as the quarter-wavelength resonators for the filter with the SR to realise a wideband passband. Owing to the source–load coupling, the loaded short stub and the intrinsic characteristics of the SMR, three transmission zeros can be created to improve selectivity and isolation. Compact size can be obtained by adopting the folded SR and folded SMR inserted between the arms of the SR. A compact dual-band BPF for wideband and WLAN applications is simulated and measured, and good agreement can be obtained between the measured and simulated results.
A sensor capability information model under Geospatial Sensor Web environment

For the vast and heterogeneous sensor resources of the Geospatial Sensor Web, discovery and utilization of these sensors for cooperative observation are often considered inaccurate, incomplete and time-lagged. This is in a large part due to a lack of a standard, comprehensive, observation capability contained sensor information model. A sensor information model covering the capabilities around the sensor and sensor system plays an important role in making these sensors sharable and interoperable for precise discovery and effective cooperative observation. In this paper, a Sensor Capability Information Model (SCIM) is proposed. The fundamental SCIM framework and its basic elements are formulated through analyzing the requirements and criteria for sensor capabilities information, generalizing and extracting from the existing geospatial or sensor-related metadata standards. SCIM mainly consists of the core observation capability of a sensor, as well as the computational capability, transmission capability, energy endurance capability and environmental adaptability capability. OGC Sensor Model Language (SensorML) is utilized as the expression form of the proposed SCIM. The versatility of the proposed information model is verified by three different types of earth observation sensors.
Identification method of neuro-fuzzy-based Hammerstein model with coloured noise

In this study, neuro-fuzzy-based identification procedure for Hammerstein model with coloured noise is presented. Separable signal is used to realise the decoupling of the identification of dynamic linear part from that of static non-linear part, and then correlation analysis method is adopted to identify the parameters of the linear part. Furthermore, by combining multi-innovation and gradient search theory, multi-innovation-based extended stochastic gradient approach is derived for improving the parameters estimation accuracy of the non-linear part and the noise model. In addition, the convergence analysis in the martingale theory illustrates that the parameter estimation error will converge to zero under the persistent excitation condition. Finally, two simulation results demonstrate that the proposed approach has high identification accuracy and good robustness to the disturbance of coloured noise.
A Vector Dual-Primal Finite Element Tearing and Interconnecting Method for Solving 3-D Large-Scale Electromagnetic Problems

A Lagrange multiplier based non-overlapping domain decomposition method, referred to as the dual-primal finite element tearing and interconnecting (FETI-DP), is formulated for the finite element simulation of large, three-dimensional (3-D) electromagnetic problems. This formulation extends the FETI-DP for solving the scalar Helmholtz equation to the solution of the vector curl-curl wave equation using edge-based finite elements. It enforces the field continuity explicitly along the edges shared by more than two subdomains and implicitly at the interfaces between two subdomains through the use of Lagrange multipliers. With the aid of a direct sparse solver for each subdomain system, the large global problem is reduced to a much smaller interface problem, from which a Neumann boundary condition is obtained at the interfaces between all the subdomains. This Neumann boundary condition is then used to calculate the field within each subdomain. It is shown that the resulting FETI-DPEM method is scalable with respect to the size of finite elements and the number of subdomains. It is also scalable with respect to the size of the subdomains when the subdomains, with its surfaces enclosed by perfect magnetic conductors, cannot support any resonant modes. The FETI-DPEM method is applied to the electromagnetic simulation of array-type structures where the geometrical redundancy is fully exploited to speedup the simulation and reduce the memory requirement. Numerical results for the simulation of finite antenna arrays and photonic bandgap devices are presented to demonstrate the application, accuracy, efficiency, and capability of the FETI-DPEM method
Multi-link cooperative polling scheme for UAV data link based on Gilbert-Elliot channel

A multi-link cooperative polling scheme for Unmanned Aerial Vehicle Data Link (UAV-DL) is proposed to improve the throughput and reduce the average delay. Markov model of flight States for UAV-DL, Gilbert-Elliot channel model and different priorities for multi-link network are used in the scheme. The key of the scheme is that the high priority notes are polled by master site with main network and the low priority notes are polled with extended network when the channel is in a good state. The throughput of link is shortened, if the channel state is poor. The scheme is verified by later simulations. Average delay and throughput of multi-link cooperative polling scheme for UAV-DL are analyzed based on the probability generating function. Simulation results are that the average delay is shortened 30% and the throughput is increased 1.3 times than the other ways.
Fabrication and optical properties of linear-corearray multicore fiber

This paper presents a linear array core optical fiber that can be directly connected and coupled with a single core fiber. We propose a convenient preparation technique. With this production technology, we have successfully produced a 5-core and 23-core optical fiber linear array core optical fiber, and we tested its refractive index distribution and transmission properties of light. Further, we calculated optical transmission coupling characteristics of each core and supermodel properties of a linear array 23 core optical fiber as a representative. This study can provide the basis for special optical fiber design, production, and has a reference for other similar microstructure fiber analysis and application.
A novel algorithm of IPv6 network topology discovery for Campus Network

Aiming at the limitations of existing methods of IPv6 network topology discovery, this article proposes and implements a novel algorithm of an IPv6-based topology discovery system for the next generation Internet. With the combination of network topology information discovered by general protocols and by routing protocols, the system can discover the IPv6 network effectively not only in accuracy and integrality but also in avoiding alias problem. Besides, much subnet information can be discovered by the system. The system has been tested in the real network environment, which showed the effectiveness and feasibility of this solution.
Extraction of the Borderline in Prepared Tooth Cavity Based on Intelligent Scissors

Automatic tooth restoration produces customized teeth with a prepared cavity, while the fitting of the restoration is determined by the boundary feature of the cavity. An improved method of 3D optimal path searching to precisely detect the borderline for extraction using intelligent scissors is presented here. Identified by the minimum weighted sum local cost functions of the boundary features in the tooth cavity, the 3D path searching provides mathematically piece-wise optimal path for extraction accurately. This will increase efficiency of the design processes for automatic tooth restorations.
An Improvement Data Hiding Scheme Based on Formula Fully Exploiting Modification Directions and Pixel Value Differencing Method

Recently, a modified data hiding scheme based on pixel value differencing and improving exploiting modification directions is proposed by Shen and Huang. There are two major contributions in this scheme. One is to enhance the embedding rate and good embedding capacity and the other is an optimization problem used to solve the overflow/ underflow problem. In fact, they propose the similar brute force method to solve overflow/underflow problem in their proposed scheme. To overcome the overflow/underflow problem exactly, we will propose the close form to solve this problem in this paper. Then, an improvement data hiding scheme based on FFEMD  and pixel value differencing method is proposed. According to our analysis, it is not only to keep the advantages of Shen-Huang scheme but also to use the close form to solve the overflow/ underflow problem.
Challenge-Response Attack on a Key Transport Protocol based on a Ring Locking Technique

Key transport is one of the fundamental issues in modern cryptography. Recently Khayat proposed a multiple agent distributed version of Shamir's 3-pass no-key protocol. In this paper, based on a ring locking technique a challenge-response attack on Khayat's protocol is mounted to capture its vulnerability to CCA1 and CCA2. The cryptanalysis shows that the attack protocol is efficient (without expensive on-line computation of modular inverses), scalable (independent of the size of trustees), and feasible on the Internet environment. One of its novel features is that the active attacker can conceal some trace of his cyber crime by means of the commutative property of index multiplication in iterative modular exponentiations.
Dynamic malaria models with environmental changes

In this paper, we formulate a dynamic model for the transmission of malaria in both host human and vector mosquito populations. We include incubation periods for both infected human hosts and mosquitoes. We further divide the infected human population into subgroups based on their infection history. Threshold conditions which determine whether the disease spreads in the human and vector populations or dies out are obtained. Such conditions are characterized by the reproductive number and an explicit formula for the reproductive number is derived. The reproductive number is composed of key parameters in the disease transmission and those parameters are functionals of environmental variables. Impact of environmental changes on the disease transmission is then discussed through the sensitivity of the reproductive number with respect to the environmental variable.