nils-herrmann/clean_scirepeval huggingface dataset:
Application of Evidential Reasoning rules to identification of asthma control steps in children

The UK is one of these countries in Europe, which have the highest death rate from asthma, and the rules to identify asthma control steps are vague in the current official guideline of asthma management. In this research, diagnosis rules on asthma control steps are developed to supplement the current guideline and to assist patients to monitor and manage their asthma on daily basis. The main challenge of developing the rules is missing values. Although the data examined have prodigious volumes of records for patients, no one have all and different patients have different information recorded. The large proportion of missing values lead to comparatively limited powers of some techniques like Decision Tree Analysis, Logistic Regression, ANN, Bayes' Rule and SVM. This research explores the Evidential Reasoning (ER) rule to develop prognostic rules for asthma control steps. ER is prior-free probabilistic inference and has not been applied to disease diagnosing and monitoring. The results are represented as probability distributions on asthma control steps given any combination of evidence, even if some combinations are not recorded in the current database. In practice, it could help clinicians to identify asthma control steps of patients, prescribe corresponding treatments, and monitor the effectiveness of the treatment and the progress of patients in asthma control management.
Evaluation of Telecommunication Network Operational Reliability Based on Gray Relation Projection Method

Telecommunication network reliability plays an important role in network management and decision-making, but most traditional methods for analyzing and estimating the telecommunication network reliability can't evaluate the network actually and roundly because it only considers a certain single performance or index of the network. According to the knowledge of reliability and systems engineering, a novel model for evaluating telecommunication network operational reliability is proposed based on multiple criteria decision making (MCDM). Because of the relativity, fuzziness and grayness of evaluating index, the gray relation projection method is applied in the model to calculate quantitatively the synthetic evaluation value of the network operational reliability, hereby the ordering and optimal selection of the telecommunication network is obtained; and the weight of the index is calculated objectively by the entropy method to avoid the influence of subjective factors. Finally, an example demonstrates the feasibility and validity of the proposed method
Hierarchical distributed data classification inwireless sensor networks

Wireless sensor networks promise an unprecedented opportunity to monitor physical environments via inexpensive wireless embedded devices. Given the sheer amount of sensed data, efficient classification of them becomes a critical task in many sensor network applications. The large scale and the stringent energy constraints of such networks however challenge the conventional classification techniques that demand enormous storage space and centralized computation. In this paper, we propose a novel hierarchical distributed classification approach, in which local classifiers are built by individual sensors and merged along the routing path. The classifiers are iteratively enhanced by combining strategically generated pseudo data and new local data, eventually converging to a global classifier for the whole network. We demonstrate that our approach maintains high classification accuracy with very low storage and communication overhead. It also addresses a critical issue of heterogeneous data distribution among the sensors.
AdaBoost algorithm with random forests for predicting breast cancer survivability

In this paper we propose a combination of the AdaBoost and random forests algorithms for constructing a breast cancer survivability prediction model. We use random forests as a weak learner of AdaBoost for selecting the high weight instances during the boosting process to improve accuracy, stability and to reduce overfitting problems. The capability of this hybrid method is evaluated using basic performance measurements (e.g., accuracy, sensitivity, and specificity), Receiver Operating Characteristic (ROC) curve and Area Under the receiver operating characteristic Curve (AUC). Experimental results indicate that the proposed method outperforms a single classifier and other combined classifiers for the breast cancer survivability prediction.
Development of autonomous balanced parking control system which used algorithm

This paper deals with the autonomous parking problem of autonomous vehicle. In this paper a robust image processing method with modified of the parking problem algorithm to recognize the road parking space for a real-time controlled autonomous vehicle is presented. The main objective of a proposed method is parking an autonomous vehicle safely irrespective of space image quality. In this paper, we propose an efficient algorithm for the problem with stability analysis. Also we show parking problem simulation which proves the effectiveness and stability of the algorithm. Using this algorithm, a car-like mobile robot could be controlled to move to a desired posture within a prescribed boundary. The developed system which integrated the control algorithm for parking tested with car-like mobile robot through simulations and experiments.
Comparative Study on Boundary Structural Irregularity Using Local FD and Curvature Analysis for Melanoma Detection

Feature extracted from structural irregularity for skin lesion boundaries has a great significance in computer-aided diagnosis for melanomas. Based on previous work using local fractal dimension (local FD) for contour irregularity descriptions, the novelty of this paper focuses on: (1) Multi-scaled curvature analysis is used to acquire features of boundary irregularity (2) Feature differences from adjacent scales are investigated to enhance the discrimination power between malignant skin tumors and benign. The comparative experiments of both local FD and curvature analysis show that the features difference of adjacent scales has characteristics of larger inter-class Hausdorff distance with the scale increase, while local FD performs better than curvature analysis with larger Hausdorff distance value. Results show that these two approaches not only have strong classification capacity of structure irregularity, but also helpful to remove texture irregularity for achieving robust classification.
Fast Algorithm for Clustering a Large Number of Protein Structural Decoys

Current protein structure prediction methods often generate a large number of structural candidates (decoys), and then select near-native decoys through clustering. Classical clustering methods for decoys are time consuming due to the pair-wise distance calculation between decoys. In this study, we developed a novel method for very fast decoy clustering. Instead of the commonly used pair-wise RMSD (pRMSD) values, we propose a new distance measure C-score based on contact maps of decoys. The analysis indicates that C-score and pRMSD are highly correlated and the clusters obtained from pRMSD and C-score are highly similar. Our C-score based clustering achieves a calculation time linearly proportional to the number of decoys while obtaining almost the same accuracy for near-native model selection in comparison to existing methods such as SPICKER and Calibur with calculation time quadratic to the number of decoys. Our method has been implemented in a package named MUFOLD-CL, available at http://mufold.org/clustering.php.
Deep transcranial magnetic stimulation using the semi-Halo coil

This study presents the numerical simulation of deep transcranial magnetic stimulation dTMS by considering the semi-Halo coil working with a circular coil, i.e., semi-Halo-circular assembly coil (sHCA coil). Three-dimensional distributions of the induced magnetic field and electric field in realistic head model were obtained by impedance method, and the results were compared with the normal Halo-circular assembly coil (HCA coil). It was found the potential disadvantage of wide distribution of the electric field under the perimeter of the HCA coil can be alleviated by employing the new coil design. The sHCA coil may offer a new tool for dTMS with potential for both research and clinical applications for psychiatric and neurological disorders associated with dysfunctions of deep brain regions.
3D Affine Moment Invariants for Surfaces

A new kind of weighted surface moments is defined which can achieve affine invariance for unclosed surfaces. We can also select a corresponding point and build a pseudo-solid for surface and compute the affine volume moment invariants. We test the invariance of the two affine moment invariants on a 3D terrain map and a 3D face scan. The experimental result reveals that the weighted surface moment invariants are highly robust to shape deformations and numerical computation.
Edge enhanced SIFT for moving object detection

This paper is to report our study on the moving object detection from surveillance images. For motion detection, some existed methods are used to find specific features between images and then to define the moving speeds of objects. However, human-created features may be difficult to define and to acquire especially when the objects are unknown. In this paper, the scale-invariant feature transform (SIFT) method is adopted to define features for motion detection. In the image, SIFT can be used to catch the properties of scale and rotation invariant. Even if the foreground target is partially obscured and the image is taken in a different angle and distance, SIFT can still have nice matching performances. However, when applied in detecting moving objects, SIFT does not work well due to finding incorrect features in the match. In this study, an enhanced edge detection method is proposed for Laplace of Gaussian (LoG) based SIFT. From the simulation results, it is evident that our proposed method can find more feature matching in the video image.
Improve low-resource non-native mispronunciation detection with native speech by articulatory-based tandem feature

In this paper, we propose a method to improve detecting the mispronunciation type of the non-native learners. In order to cope with the low-resource condition of non-native speech and the difference of native and non-native speech, the following efforts are made: 1) train acoustic model with the low-resource non-native data; 2) introduce the articulatory-based tandem feature; 3) pool auxiliary native data and non-native data together to train the articulatory-based MLP system. We take Chinese learning English for example, and select 1h speech to imitate the low-resource non-native speech situation. In addition, it's studied the combination of pitch and different articulatory-based tandem feature with different input feature (PLP, MFCC, Fliterbank). The experiments show that the proposed method improves the performance obviously. The phone recognition accuracy is improved by 2.99% and the mispronunciation type accuracy is improved by 2.27%.
Design of a broadband microstrip antenna using improved particle swarm optimization

Key parameters have great influence on particle swarm optimization (PSO) algorithm effect. Based on literature , that inertia weight's effect is more prominent, a new method dynamically adjust inertia weight is proposed to improve the performance of PSO. In improved method, the inertia weight is controlled by PSO optimization. The experiment results of functions indicate both the accuracy and precision are improved. Extend the PSO algorithm to discrete binary space, then combine with the finite different time domain (FDTD) method to optimize microstrip antenna. Compared with original algorithm, the improved algorithm has made progress in the effect and success probability of optimization.
Maximal Power Point Tracking under Speed-Mode Control for Wind Energy Generation System with Doubly Fed Introduction Generator

The Doubly Fed Induction Generator (DFIG) with back-to-back four-quadrant converters between its rotor winding and the grid can realize the maximal wind energy capture in variable-speed wind energy generation system. Based on the stator flux-oriented excitation vector control strategy, this paper presents that the system dynamic characteristics under speed-mode control are superior to the dynamic characteristics under current-mode control in the process of Maximum Power Point Tracking (MPPT) and brings forward the explanation based on state space theory. And it designs the gains of two typical PI controllers in the current inner loop and the speed outer loop under speed-mode control based on Internal Model Control (IMC) theory and pole assignment method, respectively. At last, simulation results in MATLAB/SIMULINK are put forward to verify the good static and dynamic performance of the designed closed-loop control system.
A Locally Adaptive Filter for Noise Filtering of InSAR Interferogram

The article proposes an adaptive filtering approach for interferograms, which is a modification to the proposed filter. Based on local frequency estimates, we compute the window sizes of two directions and the normal orientation of local phase fringes. A directionally dependent filtering window is aligned perpendicular to the normal orientation of local phase fringes by interpolation,making the pixels included in the filtering window have more homogeneous values. This filter minimizes the loss of signal and reduces the level of noise. By using two sets of simulated data, the effectiveness of this filter is demonstrated by its capabilities in adaptive noise filtering, fringe preservation, and residue reduction.
Feedforward Current References Control for DFIG-Based Wind Turbine to Improve Transient Control Performance During Grid Faults

For doubly fed induction generator (DFIG) based wind turbines, when severe grid faults occur, it is necessary to inject transient and negative-sequence components into the rotor current reference to achieve controllable low-voltage ride through (LVRT) capability. However, the classical proportional-integral (PI) controller cannot provide precise control of the transient and negative-sequence rotor current, because such current references in synchronous reference frame (SRF) are ac components at grid frequency and double grid frequency, respectively. To solve this problem, this paper proposes a feedforward current references control (FCRC) method for rotor-side converter to improve the system transient control performance. Under the proposed method, the additional feedforward of rotor current references is introduced into the current loop to improve its tracking capability of the aforementioned ac current references, thereby achieving the transient control targets precisely. Moreover, the proposed method will not affect the stability of the original current loop. Furthermore, the method has strong robustness against DFIG parameters deviation and grid frequency variations. In addition, the method is highly simple to implement. Finally, the validity of the proposed FCRC method is demonstrated by simulation and experiment.
A Q-Band MHEMT 100-mW MMIC power amplifier with 46 % power-added efficiency

A Q-band MMIC power amplifier has been designed, processed, and measured with first pass success. Design parameters include 20 dBm power, 25 dB gain, 40 % PAE, input return loss of 10 dB and output return loss of 6 dB across 43.5 to 45.5 GHz. The MMIC design is based on the BAE Systems 0.1 μm MHEMT device, which has high gain and excellent PAE. The two-stage amplifier uses a 2-finger, 75 μm unit gate width, 0.1 μm gate length MHEMT device for the first stage and two 4-finger, 75 μm unit gate width, 0.1 μm gate length MHEMT devices for the output stage. Complete stabilization for both the even and odd mode is provided using feedback and resistors in critical locations of the circuit. The first stage is optimized for gain while the output stage is optimized for power and power-added efficiency (PAE). The complete MMIC amplifier measures 3.5 mm × 1.7 mm complete with dc blocks and dc biasing elements. Measured performance includes record high PAE of 46 % at 44.5 GHz, 24 dB small-signal gain, 1 dB compressed power of 18 dBm, and 3-dB compressed power of 20.5 dBm across the 43.5 to 45.5 GHz frequency band.
An Improved Low-Voltage Ride-Through Control Strategy of Doubly Fed Induction Generator During Grid Faults

This paper presents a control strategy to improve the low-voltage ride-through capability of a doubly fed induction generator (DFIG); since the stator of a DFIG is directly connected to a grid, this sort of machine is very sensitive to grid disturbance. Grid voltage sag causes overcurrents and overvoltages in rotor windings, which can damage the rotor-side converter (RSC). In order to protect the RSC, a classical solution based on installation of the so-called crowbar is adopted; however, as the DFIG absorbs reactive power from the grid, this type of solution deteriorates grid voltage sags and cannot meet the requirements of a new grid code. An improved control strategy which uses virtual resistance to limit rotor side overcurrents is proposed in this paper, which can make a crowbar inactive and supply reactive power to fulfill the latest grid code requirement during voltage sags. In order to validate the proposed strategy, simulations and experiments have been carried out, and the results demonstrate the effectiveness of the proposed strategy.
Analysis and design of a satellite-borne wide-beam quadrifilar helix antenna

In this paper, a 1/4 turns quadrifilar helix antenna is designed and analyzed by NAKANO equation with MOM. Radiation pattern is given as well as the current distribution on one arm. 3dB beam is wider than 180deg, which proves that the radiation character of the antenna is satisfactory. Then the working condition of the antenna is studied by attaching it to a satellite model. It is seen that after the antenna is borne on the model, its 5dB beam width exceeds 180deg, which shows the design is successful.
Analysis of cladded acoustic fibers of hexagonal crystal symmetry

A cladded acoustic fiber consisting of a core and an infinite thick cladding both having a hexagonal crystal symmetry is analyzed. The crystalline Z axes of both core and cladding are parallel to the fiber axis. Dispersion equations and field distributions for all modes are derived, and previously reported results for the isotropic case are retrieved. Numerical results for a few lowest-order pure guided torsional, radial-axial and flexural modes are shown. Material considerations are discussed.<<ETX>>
A variable frequency soft switching boost-flyback converter for high step-up applications

This paper proposes a variable frequency zero-voltage-switching (ZVS) digital controlled boost-flyback converter (BFC) to achieve high efficiency and high step-up conversion. With no auxiliary switch introduced, ZVS of the MOSFETs can be achieved and reverse-recovery of diode eliminated naturally by operating the converter in boundary-conduction-mode. With the proposed control, both soft-switching and high efficiency are achieved in a wide load range. To achieve higher step-up ratio, lower voltage and current ripple in both input and output and lower current stress of the switches, a two-channel interleaved parallel-input/series-output BFC is presented. The operation principle and control strategy is analyzed in detail and verified with a 230W 30V to 380V prototype.
An Accurate In-Fixture Measurement Method for AlN Film Bulk Acoustic Resonators

In this paper, a solid mounted FBAR working at 2.0 GHz was fabricated, which was intended for high sensitive molecular sensing. To measure the devices conveniently and accurately on the board, an in-fixture measurement method based on the de-embedded technique using the fixture model and the measured S-parameters is developed with high precision to get rid of the cumbrous probe station. The fixture was modeled accurately and the results were compared with that from the probe station. Optimized approaches have been developed with small deviations, enabling some gas or biochemical tests in real time.
Computer control automatic measurement of SMMW wavelength and field distribution pattern

A computer controlled automatic measurement system of SMMW wavelength and field distribution pattern is constructed. The system consists of a F-P interferometer and a mirror-rotating apparatus driven by step-motors. The measurements can be done automatical ly and accurate1 y.  A F-P interferometer (FPI) and a detector x-y scanning system are useful instruments for the measurement of SMMW wavelength and space distribution of EM wave. But it is tedious for one to operate the instruments tracing the field strength point by point manually. A microcomputer was used to control step-motors system of a field distribution measuring instrument.The measurement can be done automatically and accurately, the results can be depicted by the computer. driving the scanning system of a FPI or a berm sweeping WAVELENGTH MEASUREMENT A SMMW FPI (1,219 which consisting of a pair of s t r i c t l y parallel metal I ic meshes and a translational scanning system, is available for wave1 ength measurement. A computer control step-motor drives one of the meshes scanning smoothly through a distance (Fig.1). After each step of the scanning, sampling of the FPI output will be made, the sampling values are stored into the computer through A/D interface for calculation. Once the step-scanning completed, a response curve of the measuring interference displays on the screent in the mean while, calculation is carrying out, the dI-iMW beam FPI De tec to r Fig. 1 Construction of FPI measurement part.
GPS RTK Applied in Land Reclamation in Mining Area

In order to study the planning of land reclamation in the coal mining area, and make collapse of land reclamation reuse, some researches of the advantages of GPS RTK technology in mine land reclamation were done in this paper. The results show that the modern digital mapping methods based on GPS RTK technology can provide real-time 3d coordinates of the points, then generate digital maps by within the processing industry, which lay the foundation for later earthwork calculation and provide the technical foundation for rational planning and designing for the square of land reclamation. The advantages of the application of RTK technology in land reclamation are very apparent and significant.
Adaptive pinning synchronization of complex networks based on output feedback control

In this paper, a kind of output feedback adaptive pinning controller is designed for the synchronization of state-coupling and output-coupling complex dynamical networks, where some states are immeasurable. The adaptive coefficients are related to the property of controlled nodes, different from the past researches in which they were simply set as constants. Based on Lyapunov stability theory, synchronization criteria are proposed to ensure the networks can achieve synchronization. The derived conclusions can also be used to estimate the minimum number of pinned nodes. Finally, the numeric simulations of a typical network are employed to verify the effectiveness of the conclusions.
Codebook Design Optimization Based on Estimation of Distribution Algorithms

Vector quantization has been a very important technique for compressing both the image and the speech data. One of the key problems arising in vector quantization is the codebook design problem. In this paper, use estimation of distribution algorithms (EDAs) to optimize codebook design. EDAs are evolutionary computation, combined by genetic algorithm and statistically learning. In order to verify the EDAs performance, compare the EDAs with LBG and GA. The experiment results show that the EDAs make better performance on improving the codebook quality.