nils-herrmann/clean_scirepeval huggingface dataset:
Low-Carbon Transportation Research in Wide Area Sparse Road Network - Construction of Highway Information Service Platform Based on ASP

With the rapid development of transportation industry, more and more attention was paid to its management. The construction and development of low-carbon transportation system is so important a task. Based on the existing problems in the transportation system, as well as the actual situation in Xinjiang, the paper proposed an idea of low-carbon in transportation system. It makes full use of ASP (Active Server Page) and database technology to integrate and classify the dispersed traffic information in our work. The method's aim to enhance transportation efficiency was elaborate, and the frame was full given. At last, an application example was shown.
Retrieving modis band reflectance at cloudy pixels considering spatial heterogeneity

The cloud causes the invalid observation from sensor aboard on satellite on cloudy day, which will corrupt the spatio-temporal continuity of the land surface parameters retrieved based on remote sensing, and prevent the fusing multi-source remote sensing data in the field of the quantitative remote sensing. Based on the requirement of quantitative remote sensing, this paper proposes an improved method which considers the anisotropic reflectance of land surface and the spatial heterogeneity, and carried out the proposed method in Heihe river basin of China to retrieve MODIS band surface reflectance. the proposed method first constructs the spatial distribution based on the corresponding BRDF and solar-viewing geometry; then, a geographically weighted regression (GWR) was introduced into the proposed method to derive the MODIS band surface reflectance at cloudy pixels one by one. And, the validation for the proposed method shows an accuracy (all of RMSE is 0.011, 4.9%), which is rational and good based on the criterions of the image processing and the quantitative remoter sensing.
Construction of Interpretable and Precise Fuzzy Models Using Fuzzy Clustering and Multi-Objective Genetic Algorithm

An approach to construct interpretable and precise fuzzy models from data is proposed. Interpretability, which is one of the most important features of fuzzy models, is analyzed first. Then a modified fuzzy clustering algorithm, combined with the least square method, is used to identify the initial fuzzy model. Third, the multi-objective genetic algorithm and interpretability-driven simplification techniques are proposed to evolve the initial fuzzy model to optimize its structure and parameters iteratively, thus interpretability and precision of the fuzzy model are improved. Finally, the proposed approach is applied to the Mackey-Glass tine series, and the results show its validity
Research on GA-SVM tool wear monitoring method using HHT characteristics of drilling noise signals

Detection of tool wear is vital for the deep-hole drilling, because it can help increasing manufacturing productivity and decreasing tool cost. This paper uses the drilling noise to establish the BTA tool wear condition monitoring system in order to monitor the tool wear condition. After the improved Empirical Mode Decomposition (EMD) method is used to do the modal decomposition for noise signal which has been filtered, the Intrinsic Mode Function (IMF) of signal is obtained. Every IMF is analyzed and detected by the Hilbert-Huang transformation (HHT), and then the energy of marginal spectrum and the changing law of peak value along with the tool wear are extracted. For the relationship between the noise feature vector and tool wear has strong randomness and uncertainty in the process of drilling, so this paper proposes a drill wear state identification method which is based on the genetic support vector machine (GA-SVM). The experimental results show that after dealing the drilling noise signal with HHT, the energy spectrum and the peak spectrum of each frequency band can be extracted as the characteristic vector which can accurately depict the change of drilling system with tool wear. The statistical models of the condition of tool wear established by using GA-SVM can effectively track the trend of tool wear, so as to realize the monitoring of tool wear and tool's life.
On generalized orthogonal spreading sequences for quasi synchronous CDMA system

Based on equidistant code, a method for obtaining spreading sequences with zero correlation zone (ZCZ) or low correlation zone (LCZ) is proposed, these spreading sequences can be employed in approximately synchronized code division multiple access (AS-CDMA) system to eliminating multiple access and multipath interference. In addition, lower bounds on correlation function of such sequence set are unproved, a new lower bound, for those ZCZ sequences which don't meet lower bound, is presented.
Modeling and compound control of disk brake automatic drilling system

This paper modeled the disk brake automatic drilling system for the first time and pointed out its characteristics of high-order and time-varying, what's more, it is very sensitive to disturbance. A claasic linear time-invariant controller has insufficiently addressed deep and deviated directional drilling process from the control standpoint. herein, compound control strategies with computer including cascade control and feed-forward control are introduced to eliminate disturbances which include the friction between drilling tools and borehole wall, the resonance of rope and drill pipes, and the vibrancy caused by downhole motors. The reliability and practicability of this automatic driller are increased by the adoption of Programmable Controller (PC). The system undergoes field test. The field experiments shown that the computer control methods above can effectively suppress interference during the deviated deep hole drilling operation, achieving a satisfied and reliable control performance. In addition, the study and control methods about this drilling system have universal significance to the application of other automatic drilling systems.
Combinatory localized cytolysis with micron precision by acoustic transducer array for fast screening of drug induced cytoskeleton alteration

This paper reports combinatory localized-cytolysis by an array of MEMS ultrasonic transducers for fast screening of drug-induced cytoskeleton variation with fluorescence-stained cytolysis assay. An array of 6×6 Self Focused Acoustic transducers (SFATs) and disposable cell culture microwells were fabricated for the cytolysis and the fluorescence stain analysis. Cells were cultured in the microwells, and different drugs were applied to the cells to modify cell cytoskeletons. Multi-spot, localized cytolysis with micron precision was carried out with the SFAT array. Experimental results show that the SFAT array produced localized cytolysis with a focal spot of about 100-300 microns in diameter in multiple microwells, and the changes of the acoustic intensity threshold (AIT) for cytolysis were in accord with the alterations of the cytoskeleton induced by the drug treatments. Therefore, cytoskeleton-specific fast drug screening can be realized by observing the variation of the AIT. Since the SFAT array can lyse multiple cell samples within 3 minutes, it is easy to discern the lysed cells under fluorescent microscope, and the SFAT array system improves the efficiency and simplicity of the drug screening greatly.
A dynamic routing, wavelength and timeslot assignment algorithm for WDM-TDM optical networks

The wavelength utilization can be improved by TDM technology in WDM optical networks. In this paper, the dynamic routing, wavelength and timeslot problem is studied. We propose a new algorithm MCSA which based on the most-continuous-same-available resources and its performances is evaluated through simulation. The results show that the MCSA algorithm can effectively reduce the connection blocking probability and optimize the resource utilization of WDM-TDM optical network.
Expected number of Cluster Members clustering algorithm in wireless sensor networks

This paper proposes a protocol, ENCM (Expected Number of Cluster Members clustering algorithm), that's designed for single-hop wireless sensor networks in which plain sensor nodes communicate directly with the CHs (Cluster Heads). All nodes are commonly resource constrained and have limited amount of energy. In wireless sensor networks, BS (Base Station) is generally set up away from the target area. When CHs transmit data directly to the BS, the CHs further away from the BS consume more energy related to distance and tend to die faster, leaving areas of the network uncovered and resulting in shortening the lifetime of the network. Aiming to prolong the network lifetime, we use ENCM to group the cluster members of different CHs and push the energy consumption of every CH to achieve the average value which is calculated in this paper. Simulation results comparing with previous protocols prove that our new algorithm is able to extend the network lifetime observably and moderately reduces the variance of energy consumption by the CHs.
Exploiting Optics Chaos for Image Encryption-Then-Transmission

A novel symmetric image encryption-then-transmission system based on optical chaos using semiconductor lasers is proposed. In this paper, with identical chaotic injection from a master laser, two slave lasers (SL1 and SL2) can output similar chaotic signals served as chaotic carrier to transmit image. Meanwhile, the chaotic signal of SL1 can be used to generate the key of the encryption scheme. After employing the three-dimensional (3D) cat map and logistic chaotic map, the positions of image pixels are shuffled, and the relationship between the cipher-image and the plain-image is confused simultaneously. Therefore, the system can resist the common attacks such as statistical attack, differential attack, and brute force attack. Through numerical simulations, the high quality chaos synchronization between SL1 and SL2 is obtained. When the chaos masking technique is adopted, the image encrypted by the proposed encryption scheme can be successfully transmitted and decrypted in a 10 km single mode fiber channel from SL1 to SL2, which is accompanied by a bit error rate of less than 6.18 × 10-19. Exhaustive tests about security analysis are carried out, demonstrating the valuable feasibility and high security of the image encryption-then-transmission system.
A discretization algorithm based on information distance criterion and ant colony optimization algorithm for knowledge extracting on industrial database

Discretization algorithms have played an important role in data mining, which is widely applied in industrial control. Since the current discretization methods can not accurately reflect the degree of the class-attribute interdependency of the industrial database, a new discretization algorithm, which is based on information distance criterion and ant colony optimization algorithm(ACO), is proposed. The paper analyses the information measures of the interdependence between two discrete variables, and an improved information distance criterion is generated to evaluate the class-attribute interdependency of the discretization scheme. In the algorithm, The ACO is applied to detect the optimal discretization scheme, and a new pheromone matrix is defined on the construction of the optimization, and an effective heuristic values assignment approach, which is used with the criterion values of discretization scheme, is proposed. We performed the experiments on a real industrial database. Experiment results verify that the proposed algorithm can produce a better discretization results.
Digital automatic power control system design

We design a digital automatic power control system based on an automatic current control circuit (ACC) because an automatic current control circuit has the advantage that it doesn't require a photodiode to sense light intensity and correct output current, and we can adjust the current flowing through a light-emitting diode when the voltages of light-emitting diodes vary with temperature. Reducing the dependence of LED light power on temperature is our main goal. The digital automatic power control system in this paper includes an instrumentation amplifier, a microprocessor, a digital-to-analog convertor and a voltage-to-current circuit.
Entertainment Oriented Intelligent Virtual Environment with Agent and Neural Networks

Intelligent virtual environment (IVE) combines virtual reality and artificial intelligence (A I), i.e. It incorporates AI technology into virtual environment, which makes the virtual environment more interactive and credible. Using IVE concept, we design and implement an entertainment IVE application platform with intelligent agents and neural networks. The humanlike intelligent objects in the virtual environment are implemented with intelligent agents, which are endowed with intelligence for self-learning and collaborating with each other by applying BP and ESP neural network to the agent controllers.
Qualitative Mapping, Criterion Trasformation and Artificial Neuron

A mathematical model for describing the disciplinarian that the true value of property p(x) varies according to it's qualitative criterion [alpha, beta], called the qualitative mapping taup (x,[alpha, beta]) is presented in this paper, and the inner product transformation of qualitative criterion [alpha, beta], denoted by w_[alpha, beta] is discussed. It is shown that an artificial neuron is a special qualitative mapping
A Prototype of Piezoresistive Fringe-Electrodes-Element Based on Conductive Polymer Composite

To improve the softness of the piezoresistive element based on conductive polymer composite, a prototype of fringe-electrodes-element is designed and investigated. The fringe-electrodes-element encompasses the pressure sensitive part, the connection part, and the interface part. Different from the traditional sandwich element, the pressure sensitive part of the fringe-electrodes-element has no electrodes, contributing to increasing the flexibility of the element. The connection part is used to connect the other two parts, and the function of it is similar to a conducting wire. The electrodes are located in the interface part for outputting the resistance signal. The experimental data show that the electrical resistance of the fringe-electrodes-element changes regularly with the external pressure. The sensitivity of the fringe-electrodes-element is lower than that of the traditional sandwich element, and decreases with the increase of the distance between the edge of the pressure sensitive part and that of the electrode. With the tunneling effect theory, the piezoresistive mechanism of the fringe-electrodes-element is explained. The results verify the feasibility to use the fringe-electrodes-element to realize the pressure measurement at the cost of some sensitivity.
Research on operation adjustment of multiple speed trains which was based on GA-Based Model of segment structure

Based on the transportation mode of high-speed trains and mid-speed trains operating on the same line, considering the delay time of different level trains influence the total late time differently and setting the double control parameters, the mathematical model of the train traffic control is built. According to the theory of genetic algorithm, the sectionalized structural optimization for chromosome coding is designed; model of solution algorithms is established. Using the adjusting algorithm based on genetic algorithm, a simulation system which was fit for the train traffic control of passenger dedicated railway is designed and by simulating the operation adjustment matter in an area of WuHan-GuangZhou passenger dedicated railway where it was from WuChang to YueYang, the feasibility of this method has been verified successfully.
Design of compact wideband filtering power divider with extended isolation and rejection bandwidth

A wideband filtering power divider (FPD) with good isolation and widen upper stopband is presented. A distributed stepped-impedance resonator (SIR) network composed of three short-circuited SIRs and one isolation resistor is introduced to obtain both port-to-port isolation and harmonic suppression. For demonstration, an FPD operating at 2.3 GHz with 3 dB fractional bandwidth of 31% is designed, fabricated and measured. In the operating band, the measured isolation is better than 17 dB, while out of band, the upper stopband is extended to 9.8 GHz (4.2f 0) with a rejection level of 20 dB.
Developing of Controlled Five-bar Design Platform

Controlled five-bar is an important area of contemporary mechanism. On account of the current gap in design software about five-bar, a controlled five-bar design platform (CFDP) has been developed with VC++ and OpenGL based on the theory of five-bar. The platform has two main functions of motion analysis and path synthesis, therefore offers a great convenience for the designers. This paper introduces the method of path synthesis and motion analysis, and then the functions and structures of the platform are discussed. Conclusion gives the overall attitudes on the software.
DOD-DOA-Polarization Estimation in Large MIMO Radar System Based on Random Matrix Theory

This paper investigates the problem of estimating multiple parameters for large multi-input multi-output (MIMO) radar system in the situation that the numbers of the transmitter and receiver sensors are large that the number of samples could not satisfy the request to confirm that the population covariance matrix would be replaced by the sample covariance matrix. To obtain high-resolution in spatially close angle estimation for multi-target, multiple electromagnetic vector sensors at the receiver are equipped. A novel random matrix theory (RMT)-based approach is proposed to joint estimate the direction-of-departure (DOD), direction-of-arrival (DOA) and two polarization parameters based on two 2D G-MUSIC algorithms. The estimation performance of this paper outperforms that of the conventional algorithms since it has the ability to estimate the parameters more exactly when the number of samples is not sufficient compared with the numbers of the transmitter and receiver sensors. In addition, the exploit of polarization diversity has improved the resolution especially when two or more targets are too close to be distinguished. The simulation results validate the better performance of the proposed method compared with that of the conventional MUSIC algorithm.
Optimization model and algorithm for ordering and logistics distribution of distribution center

This paper studies ordering problem and logistics distribution of the distribution center in the supply chain. From the perspective of supply chain integration, considering inventory capacity constraints of distribution center and vehicle routing constraints, the optimization model of ordering and distribution are proposed firstly and the average total costs are minimized. In the process of logistics distribution, the grouping strategy is considered, and it improves the efficiency of logistics distribution. According to the characteristics of the optimization model, the genetic algorithm is selected to solve the model. A numerical example shows that the algorithm is effective and the model can provide a solution of ordering strategy and logistics distribution with heterogeneous items for the distribution center.
Penrose Demosaicking

The Penrose pixel layout, an aperiodic pixel layout in rhombus Penrose tiling, has been shown to substantially outperform the existing square pixel layout in super-resolution. However, it was tested only on grayscale images. To study its performance on color images, we have to reconstruct regular color images from Penrose raw images, i.e., images with only one color component at each Penrose pixel, resulting in the problem of demosaicking from Penrose pixels. Penrose demosaicking is more difficult than regular demosaicking, because none of the color components of the reconstructed regular color images are available. Therefore, most of the traditional demosaicking methods do not apply. We develop a sparse representation-based method for Penrose demosaicking. Extensive experiments show that Penrose pixel layout outperforms regular pixel layouts in terms of both perceptual evaluation and S-CIELAB. The Penrose pixel layout is unique among all irregular layouts because it is uniformly three-colorable and it has only two pixel shapes, thick and thin rhombi, making its manufacturing relatively easy.
Hydrometallurgical process for recovery and synthesis of LiCoO2 from spent lithium-ion batteries

The recycling and synthesizing LiCoO2 by hydrometallurgical process from lithium-ion batteries was investigated in this paper. The organic solvent was used to dissolve the PVDF agglomerant from cobalt lithium membrane to separate aluminum foil. The results of acid leaching experiments show that the appropriate leaching system are sulfuric acid and hydrogen peroxide and the best condition was 30% H2O2 1.4 ml/g, temperature 80°C, and time 120 min, which the cobalt leaching efficiency is the highest. Gelatinous precursor was synthesized by wet method. When the precursor is calcined at 450°C for 4h, purely crystalline LiCoO2 can be successfully obtained.
Comparison of arterial stiffness between the dominant and non-dominant hands

The goal of the study was to assess the peripheral arterial stiffness by using pulse wave velocity (PWV) in dominant and non-dominant hands. The study recruited fifty-eight subjects who were separated into Control group (N=29) and Exercise group (N=29). Pressure waves were in brachial and finger arteries were simultaneously measured with author-designed cuff pressure devices. PWV was calculated as the length from the upper arm cuff to finger cuff divided by the propagation time. In the 58 subjects, PWV (471±158 cm/sec) measured from the non-dominant hands was found to be significantly greater than that (444±147 cm/sec) in the dominant hands (p<0.05). Also, in the exercise group (N=29), their dominant hands had significantly smaller PWV (398±126 cm/sec) than non-dominant hands (425±130 cm/sec) (p<0.01). In summary, dominant rather than non-dominant hands have decreased arterial stiffness, mostly due to its frequent usage in daily life.
Achieving per-flow weighted rate fairness in a core stateless network

Corelite is a quality of service architecture that provides weighted max-min fairness for rate among flows in a network without maintaining any per-flow state in the core routers. There are three key mechanisms that work in concert to achieve the service model of Corelite: the introduction of markers in a packet flow by the edge routers to reflect the normalized rate of the flow; weighted fair marker feedback at the core routers upon incipient congestion detection; and linear increase/multiplicative decrease based rate adaptation of packet flows at the edge routers in response to marker feedback.
Performance comparison of coordinated multi-point transmission strategies in C-RAN

Cloud-based Radio Access Network (C-RAN) could offer the benefit of mitigating inter-cell interference through facilitating cooperation techniques such as coordinated multi-point transmission (CoMP). This paper introduces the C-RAN architecture as well as different CoMP strategies to the multi-cell systems. Green advantages of C-RAN are presented and cooperation details of CoMP are analyzed. Simulations are conducted to compare the mean sum rate and energy efficiency performance of several CoMP strategies in the presence of different configurations of transmission power and fronthaul capacity.
A 3-10GHz Low-Noise Amplifier Using Resistive Feedback in SiGe HBT Technology

This paper presents a SiGe HBT low noise amplifier (LNA) using resistive feedback scheme for ultra-wideband (UWB) applications. This amplifier is implemented in 0.35um SiGe process and is unconditionally stable. The simulated results show the LNA has over 21dB gain with less than 1dB variation over 3-10GHz. The matched input and output reflection are all less than -10dB. The noise figure is 4.03dB at 3GHz and increases to 4.85dB at 10GHz, which is good enough for the resistive feedback LNA.