nils-herrmann/clean_scirepeval huggingface dataset:
Decision Support in Cancer Base on Fuzzy Adaptive PSO for Feedforward Neural Network Training

In the last decade, the use of artificial neural networks (ANN) has become widely accepted in medical applications for accuracy for predictive inference, with potential to support and flexible non-linear modelling of large data sets. Feedforward neural network (FNN) is a kind of artificial neural networks, which has a better structure and been widely used. But there are still many drawbacks if we simply use feedforward neural network, such as slow training rate, easy to trap into local minimum point, and bad ability on global search. In this paper, feedforward neural network trained by fuzzy adaptive particle swarm optimization (FPSO) algorithm is proposed for breast cancer diagnosis. The results which are compared with FNN trained by PSO algorithm show much more accurate and stable, converges quickly towards the optimal position and can avoid overfitting in some extent. In the computer-aided decision systems, the accurate and stable computer algorithms are very important to help a physician in diagnosing a patient.
Influence of the hydration heat of cast-in-situ concrete on temperature field and stability of soil-pile in high-temperature permafrost regions

High-temperature permafrost has wondrous susceptive to construction disturbance. There is observably influence by hydration heat of cast-in-situ concrete on permafrost-pile in high-temperature permafrost regions. Based on numerical simulation experiments and model tests; the influence of the hydration heat of cast-in-situ concrete on temperature field and stability of soil-pile in high-temperature permafrost regions are carried out. The value of the hydration heat of cast-in situ concrete and the regularities of distribution of temperature field and the refreezing time of the permafrost around the pile were got. A reference basis for stability and design and construction of piles in high-temperature permafrost regions can be provided.
Ontology-driven Heterogeneous Geographic Data Set Integration

Information integration has been an important area of research for many years, and the problem of integration of geographic data has recently emerged and is an important content of geography information science researches. The traditional spatial data integration mainly pays attention to transformation between data files’ form, the vector and the grid data, the different scale and the automatic synthesis. The flaws of these integrated methods cannot effectively integrate the semantics of the different geography space data, thus has brought the information acquisition and the information understanding gap for integrated data sharing and the use. Ontology is an explicit specification of conceptualization. It may effectively integrate the geography space data and its semantics, and may overcome the flaw that the traditional space data integration method is unable to overcome. This article based on the ontology theory, the method and in the applied research around domestic and foreign geography information academic presented ontology-driven geographic data set integration’s framework, and carried on the confirmation explanation by the concrete example.
Unsynchronized Small Cells with a Dynamic TDD System in a Two-Tier HetNet

In this paper, a closed-form expression of the outage probability in a downlink two-tier heterogeneous network (HetNet) is derived. The second tier uses dedicated spectrum and adopts an unsynchronized time division duplex (TDD) system with a dynamic frame configuration. The marked point process is used to model both locations of transmitters (users equipment/small cell base station), in addition to the time that has passed through each small cell sub-frame at any time of a small cell sub-frame of interest. The system performance is evaluated under different traffic dominators (uplink and downlink) by taking into account the impact of the structure of the frame- configurations. Furthermore, the system parameters, such as small cell density and the uplink control factor, are also evaluated.
New design of the control system for hydro-viscous clutch

As a result of the blockage problem of proportional relief valve, speed fluctuation problem occurred when the hydro-viscous clutch (HVD) with a proportional relief valve was being applied to the Guihuadu waterworks in Hunan province. A variable speed control system of HVD is proposed to overcome the blockage problem of proportional relief valve and reduce the speed fluctuation of HVD. The results show that: By improving the control system of HVD, the speed fluctuation is greatly reduced from ±30r/min to ±5r/min and the pressure fluctuation of pipe network is reduced from ±0.1MPa to ±0.004MPa.
DS-CDMA with predetection diversity for indoor radio communications

This paper investigates the average bit error rate performance of a direct sequence code division multiple access system operating over a multipath Rician fading channel (which models indoor radio propagation in factories). We consider both phase-shift-keying modulation with coherent demodulation and differential phase-shift-keying modulation with noncoherent demodulation. Predetection multipath diversity (equal gain combining) is considered for improving the BER performance.
Detecting and Disposing Abnormal Signal Outliers with Masking Effect by Using Data Accumulated Generating Operation

In this paper, we study a signal processing problem which concentrates on outlier detection and data mining in order to rediscover some useful information. Moreover, the great difficulty of the subject is caused by both the external environment and the internal mechanism. In the external, owing to limit of impersonal condition, such as, realistic disturbance from noise signal can not avoid. In the internal, the masking effect appears in outlying observation so as to produce some unreasonable results by data analysis. Therefore, based not only on the requirement of external quality assurance schemes, but also on internal quality control where screening for outliers should probably be part of the procedure for our main goal. As a consequence, we have applied data accumulated generating operation and sample median test for solving the conundrum.
Full-reference video quality assessment considering structural distortion and no-reference quality evaluation of MPEG video

There has been an increasing need recently to develop objective quality measurement techniques that can predict perceived video quality automatically. This paper introduces two video quality assessment models. The first one requires the original video as a reference and is a structural distortion measurement based approach, which is different from traditional error sensitivity based methods. Experiments on the video quality experts group (VQEG) test data set show that the new quality measure has higher correlation with subjective quality evaluation than the proposed methods in VQEG's Phase I tests for full-reference video quality assessment. The second model is designed for quality estimation of compressed MPEG video stream without referring to the original video sequence. Preliminary experimental results show that it correlates well with our full-reference quality assessment model.
Local and distance regularized Chan-Vese image target segmentation algorithm

This text proposed the target segmentation algorithm that combined local energy information with improved signed distance regularization term. The algorithm adds local information energy, curve length constraint and signed distance regularization term to the global image information of traditional C-V model. The new algorithm inherits advantages of global and local energy functional adequately, and accurately drives the level set evolution to the target contour. It effectively realized uneven color image segmentation in less iteration. On the other hand, the improved signed distance regularization term avoids re-initialization of level set function, increases the computational efficiency, and maintains stability in the evolution process. Experiments show that the proposed algorithm has higher segmentation accuracy and robust than C-V model and other similar models.
Fabrication and surface modification of hydroxyapatite coatings

Electrophoretic deposition (EPD) was used to prepare hydroxyapatite (HA) coatings on titanium. The influence of suspension pH on the formation of cracks in coatings was studied. Results show that the pH of suspensions plays an important role in the EPD of HA coatings and cracks in the green coatings were minimized at pH 2.9. Biomimetic mineralization and self-assembled collagen were developed to modify the EPD HA coatings for biomaterials improvement. Results show that the surface of HA coatings was modified with a layer of apatite/collagen composite by the combination of self-assembled collagen and biomimetic mineralization.
Foveated multipoint videoconferencing at low bit rates

Multipoint videoconferencing (MPVC) involves three or more participants engaged in video communication over a network. A video server combines the video streams from each participant and then broadcasts the resulting stream to all participants. In this paper, we propose to use foveation, which is non-uniform resolution representation of an image reflecting the sampling in the retina, to reduce the bandwidth requirements of MPVC. We develop foveated MPVC algorithms for variable and constant bit rate MPVC. We show that foveated MPVC can provide considerable bit rate savings, and for the same bit rate, provide improvement in subjective quality.
Video Denoising Based on a Spatiotemporal Gaussian Scale Mixture Model

We propose a video denoising algorithm based on a spatiotemporal Gaussian scale mixture model in the wavelet transform domain. This model simultaneously captures the local correlations between the wavelet coefficients of natural video sequences across both space and time. Such correlations are further strengthened with a motion compensation process, for which a Fourier domain noise-robust cross correlation algorithm is proposed for motion estimation. Bayesian least square estimation is used to recover the original video signal from the noisy observation. Experimental results show that the performance of the proposed approach is competitive when compared with state-of-the-art video denoising algorithms based on both peak signal-to-noise-ratio and structural similarity evaluations.
CDMA overlay in the presence of power control error

Adaptive power control has widely been used in the DS/CDMA system to overcome the so called "near-far" problem. This paper studies the effect of an open-loop power control error on the performance of a CDMA system, which is overlaid in downlink by a narrowband signal. The power control error is assumed to be log-normally distributed. The performance of the CDMA overlay system is simulated via Monte Carlo simulation.
Applications of suppression filters for CDMA overlay situations

A direct sequence code division multiple access (DS-CDMA) system operating over a Rayleigh fading channel and sharing a common spectrum with various narrowband waveforms is discussed. Because of the presence of these narrowband waveforms, a suppression filter at a receiver is employed to reduce the interference. The average bit error rate (BER) performance is evaluated, and how the performance is influenced by various parameters, such as the number of taps of the suppression filter, the number of multiple-access users, the ratio of the narrowband interference bandwidth to the spread spectrum bandwidth, the interference power-to-signal power ratio, and the ratio of the offset of the interference carrier frequency from the spread spectrum carrier frequency to the half spread spectrum signal bandwidth, is investigated.<<ETX>>
In/sub 0.425/Al/sub 0.575/As/In/sub 0.65/Ga/sub 0.35/As metamorphic HEMT on GaAs

A /spl delta/-doped In/sub 0.425/Al/sub 0.575/As/ InGaAs metamorphic high electron mobility transistor (MHEMT) has been fabricated successfully and demonstrated. The In/sub 0.425/Al/sub 0.575/As Schottky layer provides good breakdown voltage due to larger energy-gap than that of In/sub 0.52/Al/sub 0.48/As. Experimentally, a high extrinsic transconductance of 277 mS/mm with V/sub DS/ = 2 V and a high drain-source saturation current density of 484 mA/mm with V/sub GS/ =0 V are obtained for a 0.65/spl times/200 /spl mu/m/sup 2/ device at 300 K. Due to good carrier confinement in the channel layer, good pinch-off characteristic can be achieved. The measured f/sub T/ and f/sub max/ for a 0.65 /spl mu/m gate device are 60.5 and 108.5 GHz at V/sub DS/ = 2 V and V/sub GS/ = -1.5V. The NF/sub min/is 0.93 dB at 2.4 GHz, and the associated gain is 23.1 dB.
Objective Quality Assessment of Tone-Mapped Images

Tone-mapping operators (TMOs) that convert high dynamic range (HDR) to low dynamic range (LDR) images provide practically useful tools for the visualization of HDR images on standard LDR displays. Different TMOs create different tone-mapped images, and a natural question is which one has the best quality. Without an appropriate quality measure, different TMOs cannot be compared, and further improvement is directionless. Subjective rating may be a reliable evaluation method, but it is expensive and time consuming, and more importantly, is difficult to be embedded into optimization frameworks. Here we propose an objective quality assessment algorithm for tone-mapped images by combining: 1) a multiscale signal fidelity measure on the basis of a modified structural similarity index and 2) a naturalness measure on the basis of intensity statistics of natural images. Validations using independent subject-rated image databases show good correlations between subjective ranking score and the proposed tone-mapped image quality index (TMQI). Furthermore, we demonstrate the extended applications of TMQI using two examples - parameter tuning for TMOs and adaptive fusion of multiple tone-mapped images.
Multi-sensor image registration based-on local phase coherence

The major challenges in automatic multi-sensor image registration are the inconsistency in intensity or contrast patterns, and the existence of partial or missing information between images. Here we propose a novel image registration method based on local phase coherence features, which are insensitive to changes in intensity or contrast. Furthermore, a new objective function based on weighted mutual information is proposed, where less weight is given to the objects that have no correspondence between images. The proposed method has been tested on both synthetic and medical images and evaluated based on registration accuracy. Our experiments demonstrate good performance of the proposed approach with missing or partial data, with significant changes in contrast, and with the presence of noise.
Blind quality assessment for JPEG2000 compressed images

Measurement of image quality is crucial for many image-processing algorithms, such as acquisition, compression, restoration, enhancement and reproduction. Traditionally, image quality assessment algorithms have focused on measuring image fidelity, where quality is measured as fidelity with respect to a 'reference' or 'perfect' image. The field of blind quality assessment has been largely unexplored. In this paper we present an algorithm for blindly determining the quality of JPEG2000 compressed images. Our algorithm assigns quality scores that are in good agreement with human evaluations. Our algorithm utilizes a statistical model for wavelet coefficients and computes features that exploit the fact that quantization produces more zero coefficients than expected for natural images. The algorithm is trained and tested on data obtained from human observers, and performs close to the limit on useful prediction imposed by the variability between human subjects.
An adaptive linear system framework for image distortion analysis

We describe a framework for decomposing the distortion between two images into a linear combination of components. Unlike conventional linear bases such as those in Fourier or wavelet decompositions, a subset of the components in our representation are not fixed, but are adaptively computed from the input images. We show that this framework is a generalization of a number of existing image comparison approaches. As an example of a specific implementation, we select the components based on the structural similarity principle, separating the overall image distortions into non-structural distortions (those that do not change the structures of the objects in the scene) and the remaining structural distortions. We demonstrate that the resulting measure is effective in predicting image distortions as perceived by human observers.
Countermeasure Uncooperative Behaviors with Dynamic Trust-Token in VANETs

As one special case of the mobile ad hoc networks (MANETs), vehicular ad hoc network (VANET) is featured for its extremely high mobility and constantly changing topology. As a fully distributed network, VANET can work properly only if all the participating vehicles cooperate well during communications. However, lacking centralized coordinators, individual vehicle might be uncooperative for its own benefits. To promote node cooperation and to protect VANET packets during propagation, this paper proposes a dynamic trust-token (DTT) based cooperation enhancement mechanism. DTT utilizes both symmetric and asymmetric cryptography mechanisms to protect packet integrity, and applies neighborhood WatchDog to generate trust token based on instant performance to verify packet correctness. As a result, cooperation among VANET nodes during packet disseminations could be achieved and packet delivery could be well-protected. Performance analysis shows that the latency degradation of the proposed DTT mechanism is negligible.
Uplink Co-Channel Interference Analysis and Cancellation in Femtocell Based Distributed Antenna System

In wireless systems, coverage and capacity is a major challenge especially in high buildings. The need to reuse the limited available spectrum results in cochannel interference. Cochannel interference is a very critical factor affecting system performance. It limits the uplink coverage and capacity of wireless networks such as femtocells. Joint processing of the received signal among cochannel receivers has recently been shown to be very beneficial from an interference cancellation point of view. This paper proposes a femtocell based distributed antenna system (DAS) for uplink transmission in high buildings where distributed antenna units deployed on each floor of the building are connected to femto base stations (BS). The femto BSs can cooperate through joint signal processing for all cells in order to estimate the received signal, reduce cochannel interference introduced by frequency reuse among the femtocells and maintain high spectral efficiency. Analysis and numerical results show remarkable gains especially when interference cancellation is employed at each cooperative femto BS, leading to many more simultaneous users being supported on the same frequency and resulting in large capacity increase when compared with the traditional system with no interference cancellation technique.
Research on Histogram Algorithm for Low Voltage Electrical Apparatus Switching Arc's Image Enhancement

It's difficult to find contact from the image that was photographed by high-speed image sampling system because of the light reflection characteristic of switching arc, contact and interrupter. It do enhancement process to arc image by image enhancement algorithm of histogram and local histogram. In order to find the arc image and on the same time can find contact and the interrupupter's detail in the arcing process. The simulation result shows that the contace and arc's relative position can be observed clearly by this method.
Reliability evaluation of mine ventilation systems based on multi-state system theory

Mine ventilation system plays an essential role in underground workings. To improve the reliability of mine ventilation systems, main fans often include cold-standby units. It makes main fans have several possible states with distinct performance rates (levels). When multi-state main fan components are operating in combination, the entire mine ventilation system performs with various levels in air-flow rate. In this paper, we apply multi-state system (MSS) theory and methods to the reliability evaluation of mine ventilation systems. The states of the main fan component with a cold-standby unit are investigated and the corresponding steady-state probabilities are calculated by using Markov process. Then, the Universal Generating Function (UGF) technique is used to determine the availability of the entire mine ventilation system. An illustrative example is subsequently employed to demonstrate how to apply the proposed approach.
The Role of Inter-Frequency Measurement in Offloading Traffic to Small Cells

Offloading traffic from the macro cells (MCs) with limited frequency resources to the high frequency small cells (SCs) improves the spectral efficiency and the energy efficiency in the inter-frequency heterogeneous networks (HetNets). Inter-frequency measurement (IFM) is an essential process prior to offloading terminals and their traffic to the SCs, and has a great impact on the utilization of the system resources. In this paper, we address the role of IFM in a two-tier HetNet and investigate other system parameters that impact on the offloading process. The uplink energy efficiency (UEE) is derived as a performance metric to minimize the trade-off between the power consumption at the terminals' side and exploiting the system resources. The results show that considering different number of IFM scans per unit time according to the density of SCs can improve the energy efficiency in the system significantly.
Molecular dynamics simulations of ZnTe/Cu back contacts for CdTe solar cells

Molecular dynamics (MD) simulations have been applied to study the growth of ZnTe/Cu/CdTe layers on CdTe substrates. Our studies show that Cu forms pure clusters and ejects Cd atoms within the CdTe layer out towards the film's surface. Elemental concentration plots indicate that the amount of Cu added to the growth plays an important role on the intermixing between ZnTe and CdTe layers and the doping of CdTe. These results provide useful insight to the development of effective and reliable back contacts used in CdTe solar cells.
Reconfigurable GF (28) multipliers for symmetric cryptograms based on different design principals

This paper has researched the theory and design principle of GF (28) multiplication which is widely applied in symmetric cryptograms. With the principles in mind, three kinds of reconfigurable multipliers based on x time, xm modular and product separately have been implemented and their merits and demerits also have been investigated. Having analyzed the mix-column and reverse mix-column transformation, the reconfigurable structure for GF (28) is proposed. According to these different design principles, their corresponding throughputs and other performance are evaluated, and the results show that the reconfigurable GF (28) multipliers can quickly realize large amount of encrypt data.
An Analytical Approach to V-BLAST Detection with Optimal Ordering for Two Input Multiple Output Systems

In this paper, an analytical approach to performance analysis of vertical Bell laboratories layered space time (V-BLAST) detection with optimal ordering for systems with two transmit antennas is presented. The post-detection signal-to-noise-ratio (SNR) at each stage is derived and the symbol error probabilities (SEP) of the signals are then given in closed-form. The analysis takes into account the effects of optimal ordering, imperfect channel estimation and error propagation, which were rarely considered in the literature due to the difficulties in evaluation. The accuracy of the analysis is demonstrated by Monte-Carlo simulations.