nils-herrmann/clean_scirepeval huggingface dataset:
Performance of UWB time-hopping spread-spectrum impulse radio in multipath environments

This paper presents the theoretical analysis of BER performance for ultra wideband (UWB) impulse radio systems in multipath propagation channels. Both time-hopping pulse-position-modulation (TH-PPM) and the time-hopping pulse-amplitude-modulation (TH-PAM) are considered. The closed-form BER formulas are derived. The impact of system parameters on the BER performance is discussed. It is demonstrated that the impact of multipath propagation on TH-PAM UWB radio is different from that on TH-PPM UWB radio, which is analyzed in detail. For the TH-PPM scheme, the multipath propagation time-delay may lead to unbalanced BER over "0"-"1" in some particular multipath channels. For the TH-PAM scheme, however, there exists no such unbalance of BER over "0"-"1". In typical deterministic multipath environment, to obtain the same BER performance of 10/sup -4/, the required SNR for TH-PPM scheme is about 7dB larger than that for TH-PAM.
Research on inversion method of surface albedo based on HJ -1 satellite data

Surface albedo is the ratio of the light-flux reflected in all directions of the ground and the total flux incident. It is a very important surface parameters. In this paper, atmospheric correction algorithm based on dark pixel method was introduced, and corrected surface reflectance in study area was obtained after pre-processing of the CCD data of HJ-1 Satellite. The surface albedo of study area was combined by the inversion formula which created by Liang Shunlin to converts albedo from narrowband to broadband, and then a correlation analysis of the results and accuracy given. The result presents that: the retrieval accuracy is reliable basically.
Research on the Evaluation of Textual Comprehensibility Based on French Corpus

The study on the degree of the textual comprehensibility based on French corpus comes under the umbrella of corpus-involved text research. A systematic random sampling is employed in the present paper to compare the six different groups extracted from one and the same sampled French text. The formula, viz. A+BX=C, is provided here to equidistantly extract linguistic fragments from the famous French novel L'Assommoir. "A" means the starting page, "B" the distance of extraction, "C" the total number of the pages contained in a text, "X" the set of pages available. If the condition is fully met by B?(10, 5, 4, 3, 2, 1), the corresponding sampling ratios are 9.55%, 20.29%, 25.13%, 33.13%, 50.36% and 100% respectively, which also bring different values of textual comprehensibility, notably 0.0897, 0.0841, 0.0854, 0.0847, 0.0848, 0.0854. The non-relevance between textual comprehensibility and the sampling ratio verifies that the system of textual comprehensibility evaluation based on English and Japanese corpora can successfully extend to the French corpus, which helps the literature critics to analyze French texts according to a pre-set procedure via computers.
A Partial PIC Based Receiver Design for SFBC-OFDM Cooperative Relay Systems

Space frequency block codes (SFBC) have been widely adopted with orthogonal frequency division multiplexing (OFDM) to achieve both spatial and frequency diversity. However, OFDM is very sensitive to carrier frequency offset (CFO), which would cause intercarrier interference (ICI) and degrade the system performance severely. In this paper, we propose a low-complexity partial parallel interference cancellation (PIC) based receiver with common CFO compensation, modified SFBC decoding, and iterative partial PIC for Alamouti coded SFBC-OFDM cooperative relay systems. For the proposed receiver, the received signal is first compensated by a common CFO value to mitigate the effect of different CFOs from the distributed relays, and then the result is processed by a modified SFBC decoder. The decoded data is subsequently fed back to reconstruct the ICI for use in the developed partial PIC procedure. As compared with a previous related work, the proposed partial PIC based receiver achieves better performance with lower computational complexity.
Design of UWB bandpass filter with dual notched bands based on E-shaped resonator

A new microstrip ultra-wideband (UWB) bandpass filter (BPF) with dual sharply rejected notched bands based on E-shaped resonator is proposed in this letter. The basic UWB BPF is designed using interdigital coupled lines and rectangular patch multiple-mode resonator (MMR). Then, the resonance properties of the E-shaped resonator are studied. The analyzed results reveal that the dual-mode resonant property of the E-shaped resonator can be utilized in the UWB BPF design to achieve dual band-notched characteristics. To validate the design theory, a microstrip UWB BPF with two notch-bands centered at the frequencies of 5.8 GHz and 8.0 GHz, respectively, is designed and fabricated. Both simulation and experimental results are provided with good agreement.
Development of GEM based digital hadron calorimeter

The University of Texas at Arlington High Energy physics group and its collaborators have been working on developing a digital hadron calorimeter (DHCAL) using GEM technology for the past several years. The group developed a large scale (30cmx30cm) GEM foils with 3M micro-pattern circuit division and constructed several prototype chambers. The group has also taken a few beam test runs to characterize the prototype chambers. This presentation will cover the current status of GEM base DHCAL development activities and beam test results.
Application of deep learning for recognizing infant cries

Crying is a way which infants express their needs to their parents. In general, parents often feel worried and anxious when infant crying. For realizing the reason of baby crying, this paper presents an automatic infant crying recognition method. Crying is convert to spectrogram. A convolutional neural networks (CNN) based deep learning is then adopted to train and classify the crying into three categories including hungry, pain, and sleepy. Experimental results shows that the proposed method achieves high classification accuracy.
Parasitic absorption effects in metallic back reflectors with texture

We investigate light scattering interface textures for absorption enhancement in solar cells. If metallic films are used as back electrode or reflector, texturing mediates coupling to surface plasmon resonances which can lead to undesired absorption effects. These can be moved into uncritical spectral regions by using periodic structures with properly engineered corrugation. We use a reference structure consisting of a 1D sinusoidal grating which offers the additional advantage of resolving polarization effects of the incident light. Measured reflection data is compared with modelling results, and the suitability of different datasets in the literature is discussed.
Compact microstrip lowpass filter based on defected ground structure and compensated microstrip line

An improved defected ground structure (DGS) with compensated microstrip line is investigated for low-pass filter (LPF) applications. With this structure, the basic resonant element exhibits the elliptic-function low-pass responses. The use of introduced resonant elements allows sharp cutoff frequency response and high harmonic suppressions together with small size to be obtained with less number of periodic structures. An equivalent lumped L-C circuit model is presented and its corresponding L-C parameters are also extracted by using parametric relationships. Based on the equivalent circuit model, a 3-pole LPF, using 3 DGS units cascaded, is optimally designed and implemented; measurements show good consistency with calculations.
Qualitative Mapping and Artificial Neuron

The qualitative mapping (QM) model for judging a property p(o) whose true value varies according to the qualitative criterion [alpha,beta], taup(x,[[alpha,beta]) is presented in this paper. The inner product transformation of qualitative criterion w_[alpha,beta] and the relation between w_[alpha,beta] and artificial neuron is discussed. It is shown that an artificial neuron is just a boundary of a qualitative mapping, and the inner product transformation of qualitative criterion would induce two group of linear transformation which rotation centers is a pair of vertexes of qualitative criterion [betaalpha] respectively
Face Recognition Based on Vector Quantization Building Feature Frequency Database

The human faces recognition has generated much research interest nowadays. However, human faces are very similar in structure with minor differences from person to person. Furthermore, lighting condition changes, facial expressions, and hairstyle variations further complicate the face recognition task as one of the difficult problems in pattern analysis. This paper proposes a new face recognition method. Extract the face information from the image and eliminate the influence of the lighting and hair. Use vector quantization (VQ) building the feature frequency database about the face information for recognition. It proved by a lot of experiments that this method has a simple algorithm, high recognition ratio. And for the different brightness, expression and hairstyle it has robustness in a certain extent. The promising results clearly demonstrate the effect of this method. Building a feature database with 30 persons, use the images with different brightness, hairstyle and expression to recognize, and the recognition ratio should achieve 97.6%. It is better than the traditional Fisherfaces and eigenfaces recognition methods.
A compact printed triple-band antenna for wireless applications

A compact printed tri-band antenna is described for wireless application. The radiator and ground plane of the antenna are etched on a piece of printed circuit board with an overall size of 24×19.9×1.524 mm3. Two asymmetrical strips are attached to the radiator. The measured operating frequencies cover the bands of 2.5-2.69 GHz for M-WIMAX, 3.7-4.2 GHz for C-band and 5.25-5.85 GHz for WLAN, and the gains at the three frequencies are around 3dB. The ground plane effect on impedance performance is greatly reduced by cutting the size of the ground plane. In addition, a parametric study of the antenna might be referential for antenna engineers.
Basic unit layer rate control for video security

Video security is one of multi-view video applications. However the current multi-view video coding (MVC) software does not contain any rate control technique, this paper proposes a rate control algorithm for MVC based on the quadratic rate-distortion (R-D) model. The proposed algorithm adopts the fluid-flow traffic model, HRD (hypothetical reference decoder) and linear prediction model of MAD (the mean absolute difference). Compared to the multi-view video coding with fixed quantization parameter, the proposed scheme can efficiently control the bit rate with an average rate control error of 0.62% while keeping high coding efficiency.
Embedding 3D Geometric Features for Rigid Object Part Segmentation

Object part segmentation is a challenging and fundamental problem in computer vision. Its difficulties may be caused by the varying viewpoints, poses, and topological structures, which can be attributed to an essential reason, i.e., a specific object is a 3D model rather than a 2D figure. Therefore, we conjecture that not only 2D appearance features but also 3D geometric features could be helpful. With this in mind, we propose a 2-stream FCN. One stream, named AppNet, is to extract 2D appearance features from the input image. The other stream, named GeoNet, is to extract 3D geometric features. However, the problem is that the input is just an image. To this end, we design a 2Dconvolution based CNN structure to extract 3D geometric features from 3D volume, which is named VolNet. Then a teacher-student strategy is adopted and VolNet teaches GeoNet how to extract 3D geometric features from an image. To perform this teaching process, we synthesize training data using 3D models. Each training sample consists of an image and its corresponding volume. A perspective voxelization algorithm is further proposed to align them. Experimental results verify our conjecture and the effectiveness of both the proposed 2-stream CNN and VolNet.
Metamaterial-based patch antenna with wideband RCS reduction and gain enhancement using improved loading method

The simultaneous improvement of radiating and scattering performance of an antenna is normally considered as a contradiction. In this study, wideband radar cross-section (RCS) reduction and gain enhancement are both achieved for a conventional patch antenna by loading metamaterial in an improved way. First, two artificial magnetic conductor units are selected to construct a chessboard-like metamaterial surface (CLMS) which has wideband low RCS property. Then the CLMS is applied to a conventional patch antenna for the purpose of RCS reduction. Through a detailed investigation of three loading manners, a metamaterial-based patch antenna with both improved RCS and gain is proposed and experimentally validated. Both simulated and measured results show that, compared with the original antenna, the gain of the proposed antenna is enhanced almost over the whole operation band, and the wideband (in-band and out-of-band) RCS reduction is achieved concurrently.
Fuzzy optimization model based tolerance approach to timetable rescheduling for high speed railway in China

A fuzzy optimization model based tolerance approach is proposed to handle timetable rescheduling in high speed railway during speed restriction period. As the limited speed and headway time are not crisp figures in practice especially when some natural hazards happen or some equipment failure, tolerance approach is introduced with the fuzzy membership functions of the original objective and soft constraints to find an new optimal objective with little slack of constraints. The original objective is treated in the same manner as the soft constraints, so the model is symmetric. The proposed fuzzy rescheduling model is simulated on the busiest part of a high speed railway line in China. The entire case study shows the significance of fuzzy optimization in case of speed restriction. The results shed light on how we could choose a better limited speed and headway time, so that the number of seriously impacted trains can be reduce greatly with little cost and risk.
Compression-aware capture power reduction for at-speed testing

Test compression has become a de facto technique in VLSI testing. Meanwhile, excessive capture power of at-speed testing has also become a serious concern. Therefore, it is important to co-optimize test power and compression ratio in at-speed testing. In this paper, a novel X-filling framework is proposed to reduce capture power of both LoC and LoS at-speed testing, which is applicable for different test compression schemes. The proposed technology has been validated by the experimental results on larger ITC'99 benchmark circuits.
Planar two-element UWB MIMO antennas with high isolations

Two compact planar UWB MIMO antennas for wireless communications are presented. The first antenna, which operates in the 2.3-12 GHz frequency band, has a size of 72 mm × 48 mm × 0.76 mm. High port-to-port isolation over the whole ultra-wideband is achieved by using an inverted-T stub between the elements. The second antenna has a size of 34 mm × 47 mm × 1.6 mm, and operates in the band from 3.8 to 11.8 GHz. Unlike other designs, the radiators are reversely parallel placed for achieving high isolation between two ports. Furthermore, an interdigital-like structure, which is composed of stubs and strips, has been employed to enhance both the isolation and the bandwidth. The current distributions, S parameters and radiation patterns of both antennas are given. The results show that, both antennas have high isolation of more than 20 dB over the ultra-wide operation bandwidth. The proposed antennas are suitable for some portable MEVIO/diversity applications.
A method for registration of remote control robot tactile and vision image

Registration between tactile and visual image for remote-control robot is a critical technology in these two image fusion. The thesis raised a new method of image registration on the basis of OCD-ICP. Making use of graphic fundamentals, the method advanced the four filter rules in image edge curve to get the optimal group progressively. Moreover, the most optical registration references could be gained on the above-obtained point group. Experiment proves the method could detect the correct curve point group, and the ICP with this points group is quite accurate and speedy in registration.
A Novel Hybrid Particle Swarm Optimizer: Tradeoff between Exploration and Exploitation

Hybridization is a useful method to enhance the performance of particle swarm optimizer (PSO). In this paper, a novel particle swarm optimizer (NHPSO) combining PSO with a constriction factor (CF-PSO) and the fully informed particle swarm optimizer (FIPSO) in cycles is proposed, in order to balance the convergence speed and search accuracy. Six most commonly used benchmarks are used to evaluate the strategy on the performance of PSOs. The results suggest NHPSO has a generally good performance in numerical optimization.
Deep Reinforcement Learning-Based Image Captioning with Embedding Reward

Image captioning is a challenging problem owing to the complexity in understanding the image content and diverse ways of describing it in natural language. Recent advances in deep neural networks have substantially improved the performance of this task. Most state-of-the-art approaches follow an encoder-decoder framework, which generates captions using a sequential recurrent prediction model. However, in this paper, we introduce a novel decision-making framework for image captioning. We utilize a policy network and a value network to collaboratively generate captions. The policy network serves as a local guidance by providing the confidence of predicting the next word according to the current state. Additionally, the value network serves as a global and lookahead guidance by evaluating all possible extensions of the current state. In essence, it adjusts the goal of predicting the correct words towards the goal of generating captions similar to the ground truth captions. We train both networks using an actor-critic reinforcement learning model, with a novel reward defined by visual-semantic embedding. Extensive experiments and analyses on the Microsoft COCO dataset show that the proposed framework outperforms state-of-the-art approaches across different evaluation metrics.
Atmospheric pulsed DBD plasma jet for study on bacterial inactivation

A novel plasma jet with a plane-to-plane DBD structure working at atmospheric pressure has been developed. This jet is operated by a sub-microsecond pulsed voltage with a repetition rate of 1–10 kHz range. The working gas, helium, is fed into the plasma jet. The electrical property of the discharge has been studied by means of a classical DBD model. By fitting the fine structure of the emission bands of N3 to a model, plasma gas is found to be cooled to near room temperature (∼ 300 K) at 15 mm away from the jet nozzle exit, which is also verified by a thermocouple. Based on the analysis of the Hβ Stark broadening, the electron density inside the plasma jet nozzle is evaluated to be in the order of 1014 cm−3. Finally, the preliminary experiment confirmed the feasibility of disinfecting E.coli cells. It shows that adding oxygen could enhance the inactivating effect greatly and with 4% oxygen, the highest effect was obtained.
Half space radiation antenna for UWB ranging and localization application

Integrating the concept of Antipodal Vivaldi antenna (AVA) and planar disc-shaped dipole, a half space radiation UWB antenna is proposed in this letter. The antenna adopted approximately 1/4 of the disc-shaped dipole as its radiator, fed by the AVA's exponential slot structure. The proposed antenna has an ultra-wide bandwidth and nearly half space radiation pattern. This character makes it applicable to UWB ranging and localization field. The antenna analysis and design was carried out by CST software. The prototype was fabricated and experimentally measured. The simulation and measurement result confirms the feasibility of the design.
Enhanced HARQ Employing LDPC Coded Constellation Rearrangement with 64QAM

In this paper, a novel algorithm for searching optimal HARQ methods with constellation rearrangement is proposed. This novel method tries to average the combined reliability of demodulated bits after retransmissions. According to this idea, two constellation rearrangement schemes for 64QAM with restricted retransmission times are presented through the proposed search algorithm, which can well equalize the reliabilities of various bit positions after chase combining (CC) HARQ so as to improve the LDPC decoder's performance. Simulation results show that the two presented schemes outperforms than the traditional HARQ methods with constellation rearrangement in term of BER and throughput performance. It not only can be used in LDPC coded HARQ but also apply to Turbo coded HARQ with arbitrary MQAM constellation rearrangement.
Research the strategy of the highway transportation in the earthquake

The paper present two models to analyze this problem of the highway transportation and investigate what strategies can reduce the traffic congestion, which brought about by the earthquake. The models can provide better understanding of the congestion and give advice to the solution of this problem by making full use of the road network. Firstly the paper discuss what measurements can be used to judge a strategy of evacuation, which is from the disaster area to safety areas. Secondly develop a graph-based maximum-flow model and find how to achieve the maximum traffic flow from the disaster areas to the safety areas. In the finally, combining the current earthquake in Sichuan of China, the paper get the best solution of transport the casualties by highway in the least time. The result show that the method presented in this paper is very useful.
An Introduction to Hyper-Complex on Meaningful Digital Watermarking

With the rapid development of multimedia technology and computer network technology, and the popularization of the Internet, digital media has gradually become the primary means of information exchange, such as images, audio, video. People can easily get a variety of digital information from the Internet. Because digital information can easily be illegally copied and manipulated, the current infringement of multimedia information has become easier, and greatly damaged the interests of the authors and copyright owners, making the information security of the digital works and protection for copyright to be an urgent issue. Therefore, a digital watermarking technology was proposed in the international community, what can effectively protect the security of digital products and copyright. In recent years, digital watermarking technology, especially digital watermarking of color images, has aroused great international interest and attention. This paper introduces the mathematical concept, different computing definitions, Fourier Transform of hyper-complex, and the use of hyper-complex space for Adaptive Color Image Watermarking Algorithm.
Automation of combustion process for coke oven using multivariable fuzzy control technique

In this paper, the multivariable fuzzy control technique is applied to the combustion control of coke oven. After a short description of the functions of coke oven, a new multivariable fuzzy control strategy is put forward to deal with the complex industrial system, with the following features: 1) generalization and simplicity of the control rules; and 2) the adaptive ability. The operating performance results demonstrate the effectiveness of the proposed technique, and the developed fuzzy automation system has been proven as a well-functional SCADA software package.