nils-herrmann/clean_scirepeval huggingface dataset:
Investigation on error performance for galvanic-type intra-body Communication with Experiment

Intra-body Communication (EBC), which utilizes the human body act as communication channel, offers a novel technology for information exchange in Biomedical Engineering (BME) field. Galvanic-type IBC has been a promising choice for IBC because of its advantages like lesser interference to the nearby environment and lower frequency operation. Bit Error Rate (BER) is a standard figure of merit to indicate the error performance of communication channel. For low frequency and low transmit rate in galvanic-type IBC, the traditional method of BER measurement is time-consuming. Furthermore, to measure through the human body for such a long time is neither practical nor feasible without physiological changes. In order to evaluate the error performance of galvanic-type IBC, this paper presents an alternate approach to investigate BER values of the channel and verifies its behaviors with human lower arm experiment. After comparing the experimental results and theoretical calculation based on ideal Additive White Gaussian Noise (AWGN) channel, it is found that their traces have similar agreement. Besides, the experimental phenomenon indicates the assumptions that channel noise of galvanic-type IBC has AWGN characteristic are reasonable and applicable in some regions.
Optimize collapsed Gibbs sampling for biterm topic model by alias method

With the popularity of social networks, such as mi-croblogs and Twitter, topic inference for short text is increasingly significant and essential for many content analysis tasks. Biterm topic model (BTM) is superior to conventional topic models in uncovering latent semantic relevance for short text. However, Gibbs sampling employed by BTM is very time consuming when inferring topics, especially for large-scale datasets. It requires O{K) operations per sample for K topics, where K denotes the number of topics in the corpus. In this paper, we propose an acceleration algorithm of BTM, FastBTM, using an efficient sampling method for BTM which only requires O(1) amortized time while the traditional ones scale linearly with the number of topics. FastBTM is based on Metropolis-Hastings and alias method, both of which have been widely adopted in latent Dirichlet allocation (LDA) model and achieved outstanding speedup. We carry out a number of experiments on Tweets2011 Collection dataset and Enron dataset, indicating that our method is robust enough for both short texts and normal documents. Our work can be approximately 9 times faster than traditional Gibbs sampling method per iteration, when setting K = 1000. The source code of FastBTM can be obtained from https://github.com/paperstudy/FastBTM.
Enhance the Performance of Network Computation by a Tunable Weighting Strategy

Networked systems with high computational efficiency are desired in many applications ranging from sociology to engineering. Generally, the performance of the network computation can be enhanced by two ways: rewiring and weighting. In this paper, we proposed a new two-modes weighting strategy based on the concept of communication neighbor graph, which takes use of both the local and global topological properties, e.g., degree centrality, betweenness centrality, and closeness centrality. The weighting strategy includes two modes: In the original mode, it enhances the network synchronizability by increasing the weights of bridge edges; whereas in the inverse version, it increases the significance of community structure by decreasing the weights of bridge edges. The scheme of weighting is controlled by only one parameter, i.e., $\alpha$, which can be easily performed. We test the effectiveness of our model on a number of artificial benchmark networks as well as real-world ones. To the best of our knowledge, the proposed weighting strategy can outperform the existing methods in improving the performance of network computation.
Gear Fault Diagnosis with Neural Network Based on Niche Genetic Algorithm

Because of the complexity of gear working condition, there are non-linear relationship between characteristic parameters and fault types. This paper proposes to apply the artificial neural network theory and the genetic algorithm to solve the difficulties of gear fault diagnosis. Niche technique based on crowding mechanism is used in genetic algorithm, and punishing function is adopted to adjust individual fitness, so as to promote global search capability. Taking a certain gearbox fault signal acquisition experimental system for an example, Matlab software and its neural network toolbox are used to model and simulate. The experiment result shows that the founded network model has good performance for the common gear fault diagnosis and it can identify various types of faults stably and accurately.
A Comprehensive Study of Actively Mode-Locked Fiber Optical Parametric Oscillators for High-Speed Pulse Generation

We perform a comprehensive study on the implementation of active harmonic and rational harmonic mode-locking of a fiber optical parametric oscillator (FOPO). In particular, the effect of pump parameters and cavity designs on the characteristics of the generated pulses are analyzed. Two methods of frequency multiplication in FOPOs are discussed and compared and we show that we can generate optical pulses with very high-repetition-rate (up to 240 GHz) using rational harmonic mode-locking. We find that optical pulses with short duration can be obtained using pump pulses with small duty cycle, large pump power, and an intra-cavity optical filter with proper bandwidth. In addition, optical pulses with low root-mean-square timing jitter are achievable when no pump phase modulation is applied and hybrid gain of erbium-doped fiber amplifier and parametric amplifier is used. High supermode noise suppression ratio is achieved by taking advantage of the fast parametric gain and the combined effect of self-phase modulation and spectral filtering. We conclude that synchronous-pumping of an actively mode-locked FOPO offers many advantages in terms of reducing the cavity loss, increasing the modulation frequency, enabling rational harmonic mode-locking, and applications to all-optical clock recovery.
Distributed robust predictive control for multiple mobile robots formation

This paper studies a formation control problem for multiple mobile robot systems with model uncertainty. The formation is achieved by a distributed robust predictive control algorithm. Firstly, a distributed model of the formation system is derived by using the path tracking error dynamic of single mobile robot. Considering the error of linearization and measurement error caused by the accelerometer and speed encoder, the distributed uncertain model of formation system is proposed. To ensure the closed-loop system asymptotically stable, a new cooperative distributed robust predictive algorithm is presented, and convex optimization problems are proposed to design the distributed predictive controllers which can be solved by linear matrix inequality technology. Finally, an example with three mobile robots is presented to demonstrated the effectiveness of the proposed method.
Bowtie Dipole Antenna With Wide Beamwidth for Base Station Application

A novel antenna, composed of a bowtie dipole element above the ground plane and a metallic bridge for wide beamwidth, is proposed in this paper. The antenna shows a simple structure and is fed by a conventional balun (or a transition from microstrip line to coplanar stripline). Measurement shows that the antenna has an impedance bandwidth of 25.3% for stand wave ratio . In a frequency band of 11.5% (5.35-6 GHz), it presents radiation patterns with beamwidth of over 115 in H-plane and below 31 in E-plane and sidelobe levels below 10 dB. The radiation patterns of the proposed antenna and a referenced one with the same sizes but without the bridge are compared in this paper.
Research on New Method for Mapping Terrain and Landscape of Complex Environment

Engineering survey often encountered some special complex terrain, for example, large-scale reservoirs, lakes, marshes and wetlands, and so on. Conventional measuring methods cannot accurately detect the data of these environments, because of their special terrain, and difficult to piling, to set up measurement instruments. This paper presents a new methodology formapping terrain and landscape of complex environment. And the mapping process of Heshun town wetland terrain by using this new and simple measuring method was introduced. This new measuring method could be useful for non-professionals to map the terrain and landscape of complex environment.
Intra-vehicle UWB MIMO channel capacity

In wireless communication, MIMO technology can improve performance by offering larger channel capacity without additional bandwidth or transmitting power. This paper presents the measurement of intra-vehicle ultra wideband (UWB) multiple-input multiple-output (MIMO) channels and evaluates channel capacity. The measurement was carried out in time domain for three scenarios: (1) in the car compartment, (2) beneath the chassis, and (3) inside the engine compartment. The results show that MIMO channel capacities increase while using more antennas and the capacity achieved by water filling is larger than that achieved by equal power distribution.
Complex phase, microstructure and magnetic properties of Z-type hexaferrite sintered at low-temperature

In this paper, the effects of different additives, calcining temperatures and mixing process on Z-phase transformation mechanism during sintering, microstructure and magnetic properties were investigated. The Z-type hexaferrite, Ba3Co0.8Zn1.2Fe24O41 ((Co0.4Zn0.6)2Z), was prepared by solid-state reaction method.
Intra-vehicle UWB channels in moving and staionary scenarios

This paper presents the ultra-wideband (UWB) channel measurement and modeling for an intra-vehicle environment. The measurement was conducted in time domain beneath a commercial vehicle chassis. Channel data were collected at the same locations for the car in stationary and in moving status. Stochastic tapped delay line model is used to characterize the channels in both cases. Slightly larger number of multi-path components (MPCs) and mean RMS delay are observed in the moving case. Statistical analysis shows that car movement does not significantly affect the characteristics of UWB channel in the intra-vehicle environment.
Design and Simulation of Intelligent PID Controller Based on Particle Swarm Optimization

Aiming at the problem that it is difficult to confirm the parameters of the PID controller and the parameters can not be changed once identified, an intelligent PID control method is proposed. According to the size of the system error, this algorithm controls the system with different subsections of different parameters, by using the particle swarm optimization (PSO) to optimize the parameters of the PID controller to solve the problems, such as lag, time-variety and nonlinearity. A new evaluation function including the system adjusting time, rise time, over-shoot, and system error is defined. A group of parameters of the PID controller that minimize the evaluation function is calculated rapidly by searching in the given controller parameters area. Numerical simulations show that the controller can easily be applied to the first-order and second-order systems with time delay and its performance is also better than the classic PID optimized by PSO.
Image Noise Removing Using Semi-supervised Learning on Big Image Data

Impulse noise corruption in digital images frequently occurs because of errors generated in noisy sensors or communication channels, such as faulty memory locations in devices, malfunctioning pixels within the camera, and bit errors in transmission. Although the recently developed big data streaming enhances the viability of video communication, visual distortions in images that are caused by impulse noise corruption can negatively affect the viability of video communication applications. This paper develops a novel model that uses a devised cost function through semisupervised learning on a vast amount of corrupted image data with sparse labeled training samples to effectively remove the visual effects of impulse noise from these corrupted images. The experiments demonstrated that the proposed model significantly outperformed the existing state-of-the-art image reconstruction models when tested on a large image data set. To the best of our knowledge, this study is the first to specifically address the impulse noise removal problem for such large volumes of image data corrupted by high-density impulse noise.
Clinical observation about 40 cases of primary dysmenorrheal with the treatment of Marvelon & Vitamin B6

Objective and discuss of the efficacy and safety of Marvelon and vitamin B6 in treatment of primary dysmenorrhea.  dividing 80 patients with primary dysmenorrhea randomly into control group and treatment group, each group with 40 cases. Control group receiving Marvelon monotherapy. Treatment group receiving Marvelon&Vitamin B6.  the cure rate of the control group was 57.5%, the effective rate was 92.5%; the cure rate of the treatment group was 87.5%, the effective rate was 97.5%. The total effect of the two groups there is no significant difference (P> 0.05) between the difference of the total effect of the two groups, The difference in the cure rate was significant (P &#60;0.05).  comparing the treatment of primary dysmenorrheal with Marvelon merely, the joint effect of vitamin B6 is not only obvious, but the cure rate is also high, which can significantly reduce the relapse rate, worthy of clinical application.
Evaluation of Harmonic Analysis of Time Series (HANTS): impact of gaps on time series reconstruction

In recent decades, researchers have developed methods and models to reconstruct time series of irregularly spaced observations from satellite remote sensing, among which the widely used Harmonic Analysis of Time Series (HANTS) method. Many studies based on time series reconstructed with HANTS documented the excellent performance of this method. While some limitations of HANTS have been noticed in these applications, there is no dedicated study on a systematic evaluation on the performance of the HANTS method. In this study, we evaluated the impact of gaps on the time series reconstruction of NDVI by HANTS. For global representativeness, a simulated NDVI time series dataset was constructed for four generic patterns and was applied as a reference dataset. Then random gaps were introduced into the reference series and both the reference and gapped series were reconstructed by harmonic analysis. The deviations between the two reconstructed results were used to evaluate statistically the accuracy of harmonic analysis under different gap conditions. The size of maximum gap (MGS), the number of loss (NL) and the number of gaps (NG) were selected to parameterize the gap distribution. The results showed that MGS, NL and NG were significant factors in the process of reconstruction and the two terminals and the peak of the series are crucial positions. MGS and NL should not be too large in the time series for all seasonal or non-seasonal case; otherwise the reconstructed series is not reliable. These conclusions can be taken as a reference to indicate the reliability of HANTS for particular cases towards the definition of a quality indicator of any time series.
Fast design of multilayer cascade metasurface absorbers using particle swarm optimization

A fast design procedure of multilayer cascade metasurface absorbers is presented. By analyzing the equivalent circuit model and applying the circuit parameter extraction method, a rapid design procedure can be realized. Combined with the particle swarm optimization, an optimized performance and structure parameters of the multilayer cascade metasurface absorber can be obtained. Compared with the conventional design methods, the proposed design procedure has the advantages of fast calculation speed and small memory consumption. By applying the proposed design procedure, a three-layer metasurface absorber with outstanding performances is realized. The absorption coefficient of the absorber reaches 90% in a broadband from 2.0GHz to 17.5GHz. The full-wave simulation result agrees well with the result obtained from the equivalent circuit model which verifies the feasibility and efficiency of the proposed design procedure.
Physiological Responses of Four Submerged Macrophytes to Phenanthrene Exposure

Phenanthrene is a typical polycyclic aromatic hydrocarbon (PAH) found in contaminated water. This study investigated physiological responses of four submerged macrophytes to phenanthrene stress with time, following 40-day exposure to two concentrations of phenanthrene solutions in an outdoor-simulated experiment. A number of parameters including malondialdehyde, soluble carbohydrate and soluble protein contents were monitored. Results showed that the concentrations of phenanthrene in solution decreased obviously with duration of exposure. Subsequently, these four submerged macrophytes could recovered, although several days of phenanthrene exposure resulted in some adverse effects on these plants such as increased malondialdehyde and water soluble protein contents as well as reduced water soluble carbohydrate contents. Changes of these physiological parameters in these submerged macrophytes reflected their continuous tolerance to phenanthrene.
Characteristics and trends of meteorological drought over China from remote sensing precipitation datasets

The meteorological drought, caused by a shortage of precipitation over a certain period, is the root of a causal chain in drought series in agriculture, ecology and hydrology. Different precipitation datasets produced inconsistent conclusions in the characteristics and trends of drought events. This study analyzed the characteristics and trends of meteorological drought over China using the standardized precipitation index (SPI) derived from TRMM and CMORPH precipitation data. The annual precipitation over China was increased from 1998 to 2014, indicating a wetting trend over China in the past near twenty years. CMORPH data showed more significant wetting trend than TRMM data. The wetting trend mainly occurred in northern China, while southern China has experienced a drying trend. The drying trend over China in spring and summer is more obvious than in autumn and winter. However, all analysis showed that the drought area over China as a whole was decreasing from 1998 to 2014.
A 1GHz, 68dB CMOS variable gain amplifier with an exponential-function circuit

A new wideband variable gain amplifier (VGA) is designed in digital 180nm CMOS technology for wideband and low-power application, such as UWB. The VGA consists of four stages of improved Cherry-Hooper amplifier cells, exponential function circuit and dc-offset cancellation (DCOC) network, which effectively reduces the output dc-offset. With an inductor-less technology and an additional exponential control circuit, a 3-dB bandwidth of more than 1GHz with 68dB tuning range is achieved by the proposed VGA, at the cost of 9.6mW power consumption and 0.19 mm2 chip area including pads.
Research on train group operation model in RITS

This paper focuses on intelligent attributes of railway intelligent transportation system (RITS) to use agent-oriented G-net approach to construct the model about stations and trains in the simulation system based on multi-agent, which is called agent-oriented G-net train operation model (AGNTOM). The model integrates object-oriented approach, multi-agent technique and Petri nets analysis method, so it embodies the object-oriented concepts including class, inheritance, encapsulation, and utilizes existed Petri nets analysis tools to ensure the design of the simulation system. Furthermore, we use Petri nets theory in agent structure design and analysis phases to make multi-agent simulation system developing efficiently. Compared with existed models, AGNTOM has some prominent features including asynchronous message-passing, better description for the frame of the system, better autonomous decision-making and self-adjustment abilities.
Sensorless control of PMSG for wind turbines based on the on-line parameter identification

This paper proposes a position-sensorless control strategy combined with the on-line parameter identification for a permanent magnet synchronous generator (PMSG) which is applied in the wind power generation system. The accuracy of the position estimation based on the phase-locked loop (PLL) technique can be improved by the proposed method, in which the motor parameters including the d- and q-axes inductances used for the position estimation and the current close-loop control, are identified using the recursive least-squares (RLS) method. Simulation study demonstrates that the proposed self-sensing method is reliable and effective for PMSG-based wind power generation system and is capable of achieving more accurate position estimation than the generation system without parameter identification.
Granularity transformation of qualitative criterion, orthogonality of qualitative mapping system, and pattern recognition

A kind of granularity transformation of qualitative criterion, which called subdivision of qualitative criterion and its inducing orthogonality of qualitative mapping family are presented in this paper. The inner product between a decomposable property and qualitative mapping and the orthogonal expansion of property whose orthogonal bases is the qualitative mapping family are discussed. It is shown that in qualitative mapping orthogonal system the recognition of a pattern can be converted into recognition of a vector whose components are coefficients of the orthogonal expansion of the pattern respectively. proposition p(o) of object o with quantity x of attribute a(o) whose truth value varies with the qualitative criterion (α,β) can be represented by the Qualitative Mapping τp(o)(x,(α,β)), and definitions of qualitative mappings whose qualitative criteria are an interval, a vector of intervals or a grid of n-dimension parallelepiped respectively have been given. The relation between inner transformation of qualitative criterion and Artificial Neuron has been discussed. In spite the truth value of the property p(x,o) of object o with quantity x of attribute a(o) can be judged by a qualitative criterion (α,β), when the granularity of (α,β) is big, the set Sp={o|p(o,x)} classifying by p(o,x) may be too rough to be generally adopted in a real application, therefore, we usually divide the criterion in to smaller segments. For example, native place is one of the best properties for classifying people. Usually the criterion of native place are countries which divide the earth into more then one hundred portions, but in one country, for better distinction, we need more exact criterion such as provinces, cities, regions or even small towns and villages that divide a country into smaller
Chaotic oscillator based on voltage-controlled memcapacitor

Voltage-controlled memcapacitor has the property of variable capacitance to voltage added on, that leads to nonlinear dynamic response. A three-order passive circuit with a voltage-controlled memcapacitor is proposed in this paper to generate chaotic oscillation. When configured with proper parameters and initial conditions, strange attractors can be observed. Lyapunov exponent analysis, along with continuous frequency distribution, conditions sensitive characteristic were provided through simulation, shows the existence of chaos in this simple circuit.