nils-herrmann/clean_scirepeval huggingface dataset:
Compact ultra-wideband antenna with dual sharp notch-bands using integrated bandstop filter

A compact ultra-wideband antenna with dual sharp notch-bands is presented in this paper. By coupling two coupled-resonator pairs along with the feed line, novel two-order bandstop filter is realized and is integrated with the antenna to suppress the lower and upper WLAN band. The notch-band performance is analyzed and verified by experiment. The simulated and measured results show that the proposed antenna achieves a wide bandwidth from 3GHz to 10.8GHz with two notch-band successfully.
An Image Warping Method Based on Level Set

An efficient image warping algorithm for gray and color images is proposed on the basis of level-set method. The image can be warped locally and globally through levelset dynamic evolution with a certain velocity field. We study the solution of the level-set function and define some velocity fields to control the deformation. In our scheme, the computational speed is very fast since the level-set function is not necessarily reinitialized and the CFL condition is not strictly satisfied. We exploit our approach to facial deformation. A lot of experiments were conducted to verify our algorithm, and the experimental results show that our algorithm can produce very complex and pleasurable image warping effects.
Median frequency of surface EMG signal of antagonist muscles during repeated contractions

The surface EMG signals of the antagonist muscles of normal human elbow joint were pecked-up during repeated contractions both in extension and flexion modes. The normalized median frequency (NMF) of the antagonist EMG signal was higher than that of agonist in each repeating contraction. The slopes of two regression lines of agonist/antagonist NMF increased, and there intercepts decreased as repeated contraction times increased.
Face Recognition Combing Principal Component Analysis and Fractional-step Linear Discriminant analysis

A new feature extraction approach for face recognition that combines principal component analysis and fractional-step linear discriminant analysis is proposed in this paper. In order to reduce the computational complexity of the algorithm, principal component analysis is first used to reduce the dimension. In addition, before using F-LDA, we transform the pooled within-class scatter matrix into an identity matrix. The new approach is tested on AR and UMIST face databases. Experiment results show that this algorithm gains higher classification accuracy than other existing methods
Trust management for mobile agent system based on trusted computing platforms

Mobile agent, as a promising distributed computing technology, can be used in many fields. The security problem of mobile agent is important for applications based on mobile agent technology. In this paper, we proposed a trust management model for mobile agent system to improve the security of the mobile agent system. In this model, the security of mobile agent is improved by using the trusted computing platform integrated with trusted hardware. The trust-supporting environment can proved the trust management for entities in mobile agent system through the trusted software stacks which can communicate with the lower trusted hardware. In this model system, some important services for trust management, such as mobile agent authentication, mobile agent credential application, mobile agent proxy service, mobile agent trusted connection, and integrity measurement among mobile agents and computing platforms, are provided by using trusted computing technology.
Improvement of ACL assembly algorithm

To prevent harmful information through ISP's firewall, major technical measures are filtering technology and classification access. ACL assembly technology can effectively achieve the effect of fine filtering and restricted access, so the network equipment with the application of ACL assembly technology is a new research direction. This paper briefly introduces the basic principles and development of ACL assembly, and focuses on the matching performance of ACL assembly. An improved NP+TCAM-based ternary bitmap matching algorithm is proposed to effectively minimize the number of times of matching when assembling ACLs. The test data suggest that this algorithm effectively improves the real-timeliness of correlation matching.
2D Reconstruction of Laser Plasma Electron Density with FFT Method

A transient Mach-Zehnder interferometer has been developed to investigate laser induced plasma on Al target surface in air. The phase of the reconstructed interferograms are extracted with a Fast Fourier-transform method at first, and then a numerical inverse Abel transformation is applied to determine the radial refractive index distribution under the assumption of the plasma plume having a radial symmetry. Finally, based on the fact that the plasma index of refraction is proportional to the density of free electrons in plasma, the plasma electron density is calculated. In the result, the regions with lower refractive index value than the ambient atmosphere reveal the abundance of free electrons, while higher value shows the increased density of heavy particles. The result of the electron density shows that the value in the vicinity of the target is 4.0 times 1026 m-3 while reach up to 9.0 times 1026 m-3 at the tip of the plume behind the ionization front.
Silicon-carbide MOSFET based synchronous DC/DC boost converter

This paper presents a high efficiency synchronous dc-dc boost converter. The Silicon-Carbide (SiC) MOSFET belongs to the family of wide-bandgap devices and has the inherit property of lower switching and conduction losses as compared to the silicon counter part. The employement of SiC MOSFETs enables the operation of converter at higher switching frequencies, significantly reducing the inductive and capaictive filter values. The switching frequency of the proposed converter is 250kHz. The peak-current mode control (PCMC) is employed for ensuring the load voltage regulation under steady state and for mitigating the effects of source and load transients. The 200W protype for 24V to 28V step up operation has been developed to validate the proposed system. The results in steady state and transient state are presented which depicts the satisfactory performance of the proposed converter.
Frequency response measurements based reduced order identification for dc-dc converter

This paper discusses the measurement of frequency response functions at the input and output terminals of a prototype dc-dc buck converter. The frequency domain identification procedure is applied to the measured frequency response functions. The set of these transfer functions is used for black-box modeling of dc-dc converter. Distributed power systems are comprised of numerous such converters in various configurations. The system level analysis of such systems becomes complex when individual converter models are of high order. So a model order reduction technique is applied to reduce the order of the transfer functions. While reducing the order of the system, it has been ensured that the system retains the dynamics of the full order system.
Information System Design of Water Pollution

Computer-based water body environment monitoring and management are effective methods to protect water body resources. The monitoring and management information for environmental monitoring originates from environmental laboratories. The current environmental monitoring and management of the existence of information processing is too slow to meet the requirements. Water body monitoring and management information system is designed in this paper. Computer-based system offers data analysis and prediction of the water body environment information. Water body monitoring information management system makes use of different techniques such as network computing and water body quality diagnosis. Information query, water body environmental assessment, and report generation of water body quality features are achieved and maintained on the basis of effective available information analysis. The day-to-day process of water body monitoring and management is realized, and it will be helpful to scientific decision-making.
Automatic Hookworm Detection in Wireless Capsule Endoscopy Images

Wireless capsule endoscopy (WCE) has become a widely used diagnostic technique to examine inflammatory bowel diseases and disorders. As one of the most common human helminths, hookworm is a kind of small tubular structure with grayish white or pinkish semi-transparent body, which is with a number of 600 million people infection around the world. Automatic hookworm detection is a challenging task due to poor quality of images, presence of extraneous matters, complex structure of gastrointestinal, and diverse appearances in terms of color and texture. This is the first few works to comprehensively explore the automatic hookworm detection for WCE images. To capture the properties of hookworms, the multi scale dual matched filter is first applied to detect the location of tubular structure. Piecewise parallel region detection method is then proposed to identify the potential regions having hookworm bodies. To discriminate the unique visual features for different components of gastrointestinal, the histogram of average intensity is proposed to represent their properties. In order to deal with the problem of imbalance data, Rusboost is deployed to classify WCE images. Experiments on a diverse and large scale dataset with 440 K WCE images demonstrate that the proposed approach achieves a promising performance and outperforms the state-of-the-art methods. Moreover, the high sensitivity in detecting hookworms indicates the potential of our approach for future clinical application.
Automatic detection of books based on Faster R-CNN

Advances have been made continuously in detection networks such as SPPnet and Fast R-CNN. Recently the novel region proposal method RPN shares full-image convolutional features with the detection network and enables a state-of-the-art object detection network Faster R-CNN. In this work we apply Faster R-CNN to train a detection network on our digital image database of books and implement automatic recognition and positioning of books. Experiments show that retrained Faster R-CNN achieves fine detection results in terms of both speed and accuracy, and it also solves the problem of testing negative examples in our previous study. This provides great help for the study of practical book retrieval system.
Compact dual-band bandpass filter with controllable bandwidths using stub-loaded multiple-mode resonator

A compact microstrip-line dual-band bandpass filter using a stub-loaded multiple-mode resonator is presented. This multiple-mode resonator is formed by loading three stubs (one short-circuited and two open-circuited stubs) in shunt to a simple uniform impedance resonator in the centre and two symmetrical locations, respectively. By properly adjusting the lengths of the three stubs, the first two resonant modes of this multiple-mode resonator can be allocated within the first passband, whereas the third and fourth resonant modes can be allocated within the second passband of the dual-band filter. This results in the formulation of a novel dual-band filter with compact-size and high isolation between passbands by incorporating this multiple-mode resonator with source-load coupling. Two coupling paths are used to control the bandwidth of each passband independently. To illustrate the concept, two dual-band filters of different frequency ratios are designed, fabricated and measured. Simulated and measured results are found to be in good agreement with each other, showing that a rejection level of 15 dB up to more than four times the first passband frequency can be obtained.
Effect of electromagnetic pulse exposure on the permeability of blood-testicle barrier in mice

This paper study the effect of electromagnetic pulse (EMP) exposure on the permeability of blood-testicle barrier (BTB) in mice. Adult male BALB/c mice were exposed to EMP at 200 kV/m for 200 pulses with 2 seconds interval. The mice were injected with 2% Evans Blue solution through caudal vein at different time point after exposure, and the permeability of BTB was observed by fluorescence microscope. The testis sample for the transmission electron microscopy was prepared at 2h after EMP exposure. The permeability of BTB in mice was observed by using Evans Blue tracer and lanthanum nitrate tracer. After exposure, cloudy Evans Blue was found in the testicle convoluted seminiferous tubule of mice. Lanthanum nitrate was observed not only between testicle spermatogonia near seminiferous tubule wall and sertoli cells, but also between sertoli cells and primary spermatocyte or secondary spermatocyte. However, in control group lanthanum, nitrate was only found in the testicle sertoli cells between seminiferous tubule and near seminiferous tubule wall. EMP exposure could increase the permeability of BTB in the mice
The variability of co-activation pattern of antagonist muscles in human infant crawling.

Infant crawling is part of normal human gross motor development, and a 4-beat gait that involves rhythmical flexion and extension of limbs and the underlying muscle co-activation of antagonist muscle around the joint. However, detection the co-activation pattern of antagonist muscle are sparse due to the general difficulty of measuring locomotion in human infants. In this paper, sEMG of antagonist muscles and the corresponding kinematics data of limbs were collected when infants were crawling on hands and knees at their self-selected speed. The infant's gross motor developmental status was assessed by the global Gross Motor Function Measure Scale (GMFM-88) as well. The method based on EMG-EMG plots was used to quantify the variability of co-activation pattern of antagonist muscle. After that, we observed that antagonist muscles of upper limb (triceps brachii and biceps brachii) showed less variability of co-activation pattern of muscles than lower limb(quadriceps femoris and hamstrings) during crawling, and this variability was also varied in different crawling phases (stance and swing). Furthermore, we found some varied behaviors in the co-activation patterns of antagonist muscles when gross motor developmental level increased. The preliminary work suggests that such adaptive changes may be related to the adjustment of neuromuscular in the early stage of gross motor development.
High dimming ratio LED driver with fast transient boost converter

In this paper, a high dimming ratio LED drive controller without color shift issue was proposed, fabricated and tested. It is composed of a boost power stage and some dimming control circuits. To fit high ratio dimming, it is necessary for the power stage to have fast enough transient response during the LED load switching. Therefore, a constant on time (COT) controlled boost converter was proposed. The boost switch on time is fixed by a current capacitor timer and the inductor current is just sampled during the off time modulation with COT control. This control scheme simplifies the current sensing since in this case the equivalent series resistor (ESR) of the output capacitor samples the inductor current directly. The chip is implemented with 1.5 mum BiCMOS process, and the final die area is 1.31 x 1.43 mm2. Simulation and experiment results have shown that the proposed LED drive system features the minimum LED dimming on interval as small as 1 mus and the corresponding dimming ratio is 1000:1 at 1K Hz dimming frequency. In addition, the PFM operation comes free at dimming off interval.
Collision based capacitive vibration energy harvesting

This paper devises a novel collision based energy conversion method. Based on theoretical model, this method generates high coupling efficiency at low vibration frequency. This method is further simulated on an electrostatic energy harvester with interdigitated capacitive structure biased by electrets, and produces an output power of 0.58µW and available power density of 41.67µW/mm3 at 2Hz collision input.
980nm infrared neural stimulation of sciatic nerve enhanced by carbon nanoparticles

Infrared neural stimulation (INS) provides a contact free, high spatial resolution method to regulate neural activities. Due to photothermal effect, neurons which located in the beam path, could be depolarized by infrared light. How to keep the high efficiency of opto-thermal transduction in nerve tissue, and meanwhile increase the photon penetration depth in untargeted tissues is the key question in current INS. Here in our study, we tried to use 980nm laser light to increase photon penetration depth in tissues, and use carbon nanoparticles as photon absorber to enhance the photothermal effect of INS in sciatic nerve. The compound muscle action potentials are evoked and the radiant threshold reduces by about 2 times with carbon nanoparticles. In-vitro temperature measurements detect a significant temperature increment in target neurons with carbon particles during laser irradiation. These findings demonstrate that carbon nanoparticles can improve the efficiency and enhance infrared neural stimulation.
Feature extraction and classification of EEG for imagery movement based on mu/beta rhythms

Classification of electroencephalogram(EEG) is a crucial issue for EEG-based brain computer interface(BCI) system. The paper presents a method for EEG classification, where property of event-related desynchronization/synchronization(ERD/ERS) of mu/beta rhythms, The mu/beta rhythms are obtained after filtering and wavelet packet transform. The energy feature is formed by the squared amplitude of the preprocessed data, and then be classified by the function “classifiy” attached by matlab7.0.This is an extension of our previous work on the use of ERD/ERS of mu/beta rhythms for EEG classification. Numerical experiments with imagery movement data set in 2003 BCI competition, confirm the useful behavior of the property for EEG classification, and well verify the property in turn.
Frequency-domain criterion on containment control of general linear multi-agent systems with time delay

Frequency-domain criterion on containment control for general linear multi-agent systems with time delay is studied under the directed network topology. A distributed protocol with time-invariant delay is proposed. When time-delay is an unknown constant, frequency-domain criterion on containment control of general linear multi-agent systems with delay is obtained, and an upper bound of delay is given to ensure containment, which depends on agent dynamics and network topology. Finally, a simulation is given to demonstrate the effectiveness of the obtained theoretical results.
The Prospects and Challenges of Carbon Capture and Storage Technology

Coal will remain the dominant source for electricity generation in the foreseeable future and power generation is the primary CO2 emission, so efficient and clean use of coal is the key to solve the low-carbon development. Carbon Capture and Storage (CCS) is the only currently available technology that can align increased use of fossil fuels with climate change goals. United Nations Intergovernmental Panel on Climate Change (IPCC) has take CCS as a necessary technology which is economical and can keep the greenhouse gases concentration in the atmosphere constant effectively. This paper explores the progresses achieved in CCS technology. The growth area and the challenges faced in CCS development and present stage's technical route were uncovered. It is of great strategic significance to research efficient and low consumption new CCS technology under Integrated Gasification Combined Cycle (IGCC) operating conditions, and develop the combination technical route of IGCC with CCS.
A Content-adaptive Fast Multiple Reference Frames Motion Estimation in H.264

The H.264/AVC video coding standard adopts various advanced coding techniques such as variable block sizes and multiple reference frames motion compensation (MRF-MC). The computational burden of motion estimation increases as the number of reference frames searched. In this paper, we present a content-adaptive fast motion estimation algorithm. This algorithm fully uses the temporal and spatial content information at frame, MB and block levels to speed up the search process for multiple reference frames. Simulation results show that the proposed algorithm can be 3.6 times faster than the multiple reference frames UMHexagonS scheme, with negligible degradation of video quality.
Research on Improved Four-step Commutation Strategy of Matrix Converter Based on Two Line Voltage Synthesis

The commutation process of matrix converter is more complicated compared with traditional AC-DC-AC converter due to having no natural free-wheeling paths, so the commutation problem is one of the main reasons for hindering practical applications. In this paper, the mechanisms involved in the commutation process are firstly described and then several methods to optimize the commutation process are proposed based on two line voltage synthesis, including exchanging switching sequences and adopting variable commutation time. The reliability is increased and waveform quality is enhanced after improvement. Finally, experiment device based on dSPACE is designed and experiment results demonstrate the correctness and availability of the methods presented in this paper.
Information systems security risk assessment on improved fuzzy AHP

An improvedfuzzy AHP method based on triangular fuzzy number is presented to deal with the problem of the risk assessment for information systems security. The calculation model for the information systems risk assessment is established. The judgments of the experts are depicted with triangular fuzzy number complementary judgment matrix, and the weights of the indices are obtained by the least variance priority method for triangular fuzzy number complementary judgment matrix. Then the security rank of the systems is determined by the fuzzy comprehensive evaluation. An example dedicates that the method is feasible and effective, and provides reasonable data for constituting the risk control strategy of the information systems security.