nils-herrmann/clean_scirepeval huggingface dataset:
Can Integer Factorization be in P?

Can the integer factorization problem be solved in polynomial time? or is the RSA public-key cryptosystem breakable in polynomial time? Answers to these questions are not only important in mathematics but also important in network and information security. In this paper, a motivation for solving IFP from RSA will be introduced, and then some methods for IFP will be discussed. Finally, some ideas, comments and advice on the practical use of RSA will be presented.
Method study of calculating and controlling work-in-process

The focus of this paper is to study two methods of calculating the work-in-process as applied to manufacturing system. A teamwork chart is given to figure out the composing and related quantity of work-in-process when we focus on comparatively simple process or parts of a complex process. But when we focus on more complex production process, an I-O curve is introduced instead of teamwork for more easily studying the quantity of work-in-process. Moreover, the paper discusses the main factors which affect the quantity of the work-in-process and illustrates how to better control and monitor them.
A 200Mb/s 3–5GHz Ping-Pong structure UWB transmitter using synchronized pulse position modulation

In this paper, a 3-5GHz IR-UWB transmitter based on 0.18μm CMOS is presented. The transmitter has the features of low power and low complexity by using a symmetrical “Ping-Pong” structure. Two digital transmitters are combined to overcome the noise due to effect of charge injection. A synchronized pulse position modulation and demodulation method is proposed. It improves the efficiency of the transmitter while keeping the receiver simplified. A template-based digital delay generation scheme is used to improve the delay accuracy. Measurement results show that no unwanted spur is generated. The transmitter consumes 36 pJ/b to achieve a maximum data rate of 200 Mb/s.
Notice of RetractionAnalysis of conflicts and countermeasures of debt financing between listed companies and banks: Based on paradigm of the game equilibrium analysis

The asset-liability ratio level of most companies in China is on the high side, even the companies with very excellent capital structure, they have higher asset-liability ratio level than their foreign counterparts. In view of bank loans is still the mainly debt financing ways of company in China, this article study the conflicts and countermeasures of debt financing between the listed companies and banks by constructing game models, in order to get a Nash equilibrium of monetary capital allocation.
A Fuzzy Hidden Markov Model for Traffic Status Classification Based on Video Features

A novel approach for traffic status classification based on video features is presented. The proposed algorithm extracts DCT and motion vector features from traffic video sequence. And a fuzzy C-means hidden Markov model (FCM-HMM) is used to classify traffic status. Firstly, a method of extracting statistic features from discrete cosine transform (DCT) and Moving Features is described. The extracted features described in this paper are good reflections of traffic status for the whole inspected area. They are also independent of camera setups and illumination conditions. Traffic status is classified into four states. And a fuzzy C-means hidden Markov model is trained to describe these traffic states. Then a dynamic decision process is used to give a most likely traffic state sequence after calculating video features. Experiment results prove that the proposed algorithm can not only give high-accuracy results but also can save much of memory resource and computing speed.
Research on the Construction of Customer-centered Integrative Knowledge Push System

With the transformation of service mode in enterprise from production-centered to customer-centered, improving the knowledge service level of customer service center to better meet customer's knowledge requirement becomes the key for the success of enterprise. In this paper, the construction of the knowledge push system served for customer service center was described. By the knowledge push system, various kinds of Enterprise application could be integrated and the knowledge service capability of customer service center could be promoted. Firstly, the concept of knowledge push was introduced and the customer-centered knowledge push requirement was analyzed. Then, the construction method of customer-centered integrative knowledge push system was proposed, which included the frame, the running flow and the key implementation technologies of knowledge push system. Finally, an instance analysis was given to illuminate that the customer-centered integrative knowledge push system could effectively improve the work efficiency of customer service center and customer satisfaction.
Research on deterministic communication of industrial wireless based on WLAN

The shortages of WLAN applied to the field of industrial control are given by analyzing the communication mechanism of WLAN. In this article, it presents a new communication method with deterministic scheduler in order to satisfy requirement of industrial wireless communication. It selects beacon interval as communication macro cycle, and pre-selects a station as the coordinated station that is responsible for the maintenance accurate clock synchronization function within the BSA. In data link layer, packets from user layer are divided into periodic packets and non-periodic packets. In terms of devices configured information beforehand, the periodic packets would be sent by fixed time clock, while the non-periodic packets would be sent when it is polled by the coordinated station, herein, we selected polling algorithm with good performance in the aspect of adaptive. This is called deterministic scheduling. The deterministic scheduling mechanism put forward in this paper provides foundation for applying WLAN to the field of industrial control, and its deterministic communication methods is compatible with other commercial WLAN well.
Local Condition Based Consensus Filtering With Stochastic Nonlinearities and Multiple Missing Measurements

This paper is concerned with the distributed <inline-formula><tex-math notation="LaTeX">$H_{\infty }$</tex-math> </inline-formula>-consensus filtering problem for a class of discrete time-varying systems with stochastic nonlinearities and multiple missing measurements. The stochastic nonlinearities are formulated by statistical means and the missing measurements are characterized by a set of random variables obeying Bernoulli distribution. A novel <inline-formula><tex-math notation="LaTeX">$H_{\infty }$</tex-math></inline-formula>-consensus performance index is proposed to measure both the filtering accuracy of every node and the consensus among neighbor nodes. Then, a new concept called stochastic vector dissipativity is proposed wherein the dissipation matrix is formulated by a nonsingular substochastic matrix, which is skillfully constructed by a new defined interval function on the out-degree. A set of local sufficient conditions in terms of the recursive linear matrix inequalities is presented for each node such that the proposed <inline-formula><tex-math notation="LaTeX">$H_{\infty }$</tex-math></inline-formula> -consensus performance can be guaranteed for the local augmented dynamics over the finite horizon. Furthermore, a novel algorithm proposed here can be implemented on each node. Finally, an illustrative simulation is presented to demonstrate the effectiveness and applicability of the proposed algorithm.
Underwater image feature extraction and matching based on visual saliency detection

Computer vision has become the tool of two-dimensional image recognition and analysis, which mainly means extracting image features. But the problem of robustness and real-time property in complex scenarios makes feature extraction become a challenging task. Visual attention is an important psychological adjustment mechanism in the process of human visual information management, under the guidance of visual attention, human can quickly select the most important, useful and relevant to the current behavior interested visual information from a number of visual information. This paper applies the visual detection to underwater image feature extraction to work out the robustness problem, which is conducive to a more stable and closer to human cognitive mechanism feature extraction algorithm. In addition, in the process of underwater images pretreatment, we apply dark channel prior to the underwater images preprocessing process to remove haze and enhance the contrast of underwater images. The results also show that the robustness and the property of real-time of feature extraction based on visual saliency detection and dark color image defogging algorithm has been greatly improved.
A fast evolutionary algorithm for combinatorial optimization problems

In this paper we proposed a new algorithm based on inver-over operator, for combinatorial optimization problems. Inver-over is based on simple inversion; however, knowledge taken from other individuals in the population influences its action. In the new algorithm we use some new strategies including selection operator, replace operator and some new control strategy, which have been proved to be very efficient to accelerate the converge speed. Through the experiment, the new algorithm shows great efficiency in solving TSP with the problem scale under 300.
Control Mechanism Analysis of Small-Agent Networks Using a Distinguished Node Model for Urban Traffic Controls

This paper presents a new control mechanism based on a novel distinguished node (DN) model, for network topology and analysis in small-agent networks such as urban traffic network. The proposed DN model is represented by an extended direct graph that contains congregation and dispersing nodes, and main and connecting links. Both static and dynamic properties of the DN model are analyzed. With this new network model, a control mechanism is developed, which is governed by two heuristic rules of conflict avoidance and total delay minimization. A case study on a real urban traffic network is performed to demonstrate feasibility of the proposed DN model applied to the empirical networks, and verify the effectiveness of the proposed control mechanism.
Numerical Analysis of the Nonlinear polarization rotation mode-locked pulses in Fiber

In the nonlinear polarization rotation (NPR) mode locking fiber laser, the electric fields of different intensity of pluses will have different nonlinear phase shifts because of self phase modulation (SPM) and cross-phase modulation (XPM) effects. In this paper we analysis the SPM and XPM effect on the characteristics of pulses in fiber which were influenced when we adjustment the wave plates in the NPR fiber lasers. At the same time, we discussed the pulses waveform's influence caused by the strength of the SPM and XPM in fibers.
A study of Particle Swarm Optimization in Urban Traffic Surveillance System

This paper presents our recent research on topology planning of the urban traffic surveillance system (UTSS). Based on the proposed wireless sensor networks in UTSS, particle swarm optimization (PSO) method is applied to deal with the node optimization problem in UTSS. After discussing the related works on PSO, we built up a novel communication model of wireless sensor network to produce the qualities of "small world" in real road network around the 2nd ring road in Beijing. A series of simulations using the method of PSO are demonstrated to work out the optimal deployment of the sensor nodes upon the communication model.
The application of AUV navigation based on cubature Kalman filter

Precise positioning of AUV plays an important role in the efficient and reliable underwater operation. The extended Kalman filter (EKF) is the most commonly used method, because this algorithm is easy to implement. However, EKF is only effective for nonlinear systems with approximate linearity, then truncation error is introduced. When the initial state error is large or the system model has high nonlinearity, the estimation effect is poor and the convergence rate is slow. In order to overcome the shortcomings of the EKF, Ienkaran Arasaratnam and Simon Haykin put forward the cubature Kalman filter (CKF). Cubature Kalman filter (CKF) based on the third-degree spherical-radial cubature rule has been proposed and used in many applications, such as positioning, sensor data fusion, and attitude estimation . A large number of experiments by the Swordfish-AUV system platform were carried out in Yantai Menlou reservoir. We analyze the experimental data and conclude that CKF algorithm is closer to the real trajectory than the EKF algorithm.
Design of a band-notched UWB antenna based on EBG structure

In this work, a new band-notched ultra wideband (UWB) antenna based on electromagnetic band-gap (EBG) technology has been designed and analyzed. A feed line with four EBG structure unit cells is modeled to analyze EBG characteristics, such as the reflection phase and the transmission coefficient S21. Besides, EBG structure is used in a UWB antenna to create a stop band and several main parameters of the proposed antenna are discussed. At the end of this paper, physical model and measured results are presented and the measured results well match with the simulations.
Non-Destructive Estimation Oilseed Rape Nitrogen Status using Chlorophyll Meter

Chlorophyll meter, soil plant analysis development (SPAD) is a simple, portable diagnostic tool that measures the greenness or relative content of leaves. The objective of this study is to analyze the relationships between the chlorophyll meter readings of the functional leaves at different stages and the nitrogen content of the oilseed rape leaves, and analyze the variation laws of the SPAD values of the oilseed rape in different growth stage and different fertilizer levels by using the spatial distribution maps of the geographic information system (GIS) software. The experiment is conducted in the farm of Zhejiang University. Three nitrogen fertilizers and two repeated experiments are carried on in this research. The result shows that SPAD values can represent the nitrogen content of the oilseed rape leaves with the correlation coefficient of 0.863, and different growth stages and different fertilizer levels have different SPAD values, but the variation laws is regular, which is beneficial for the further nitrogen management, so interim stage from bud to anthesis was recommended as the optimal management stage for nitrogen fertilizer recommendations
A Fast Evolutionary Algorithm for Traveling Salesman Problem

In this paper we proposed a new algorithm based on Inver-over operator, for traveling salesman problems (TSP). Inver-over is based on simple inversion; however, knowledge taken from other individuals in the population influences its action. In the new algorithm we use some new strategies including selection operator, replace operator and some new control strategy, which have been proved to be very efficient to accelerate the converge speed. We also use this approach to solve dynamic TSP. A dynamic TSP is harder than a general TSP, which is a NP-hard problem, because the city number and the cost matrix of a dynamic TSP are time varying, the algorithm to solve the dynamic TSP problem, which is the hybrid of EN and Inver-Over algorithm. Through the experiment, the new algorithm shows great efficiency in solving the static TSP and dynamic TSP.
Concept-dependent image annotation via existence-based multiple-instance learning

Conventional multiple-instance learning (MIL) algorithms for image annotation usually neglect concept dependence (i.e., the relationship between positive and negative concepts) and feature selection (i.e., which feature modality is suitable for a specific concept) problems, which have significant influence on the annotation performance. In this paper, we propose a novel concept-dependent algorithm for image annotation, named existence-based MIL (EBMIL), aiming at solving the above two problems in one scheme. In our EBMIL scheme, we give a new MIL formulation, named existence-based MIL, to explore the concept dependence in image annotation. Moreover, we give an optimization procedure in EBMIL, which is able to select different feature modalities for each concept under MIL settings. EBMIL achieves promising experimental results on the benchmark of COREL dataset with comparison to typical MIL algorithms.
An adaptive filter based on wavelet transform and affine projection algorithm

Based on the wavelet transform (WT) and the affine projection algorithm, a new adaptive filter with a variable step-size scheme, so-called WAPA filter, is proposed in this paper. The computation performance of the WAPA filter is further verified by some numerical simulations and engineering applications. Comparing with the traditional affine projection algorithm (APA), the newly proposed algorithm can provide a faster convergence speed with the same mean square errors (MSE). This implies that the WAPA order may be reduced for a same filtering result; and the saved computation time may counteract the computation expenses of the wavelet transform. The faster convergence speed and the lower steady state MSE (or mis-adjustment) can be attributed to the variable step-size scheme adopted in the WAPA, which is much better than the normal variable step-size APAs.
Optimization of mRNA Display for Identifying Peptides that Bind with Thymidylate Synthase RNA

In vitro display technologies are powerful tools for isolating polypeptide binders against various target molecules. The mRNA display approach to in vitro protein selection is based upon the puromycin-mediated formation of a covalent bond between an mRNA and its gene product. In this paper, we use mRNA display to isolate peptides that bind thymidylate synghase (TS) RNA with high affinity from a large peptide library (>10 13 different sequences). The selection scheme was constructed, and the experimental conditions, including library synthesis, formation and isolation of RNA-peptide fusions were optimized. mRNA display could play a key role in the discovery of peptides with desired functions.
Error-Compensated Marginal Linearization Method for Modeling a Fuzzy System

In this paper, a novel Error-compensated MArginal LINEarization (EMALINE) fuzzy modeling method is proposed. This method models a group of data information to a piecewise linear fuzzy system with high accuracy within a given error bound. It is proved that the fuzzy system generalized by the EMALINE method possesses universal approximation capability for a class of nonlinear systems. In addition, the theoretical approximation error bounds of the fuzzy system generalized by the EMALINE method are established and proved. Theoretical and practical results indicate that the EMALINE has better approximation accuracy than those of previous approaches. Numerical examples are shown to illustrate the validity of the proposed approach.
Application of modified EKF algorithm in AUV navigation system

The challenge in the Autonomous Underwater Vehicle (AUV) navigation technology is how to ensure precise localization accurately. Extended Kalman filter (EKF) is the most widely used navigation method. Despite its long successful application, EKF has a number of problems in application, for instance, the system motion model usually not appropriate to be described as a linear system. This paper proposed a modified algorithm which combined the Least Squares with Extended Kalman Filter (LS-EKF). The experimental results show that the navigation accuracy of the AUV based on LS-EKF is higher than the EKF.
Economic analysis on the integration of oil-based parabolic trough solar collector and the steam turbine regenerative system

It is a simple and efficient way to use new energy sources for the integrated power generation of oil-based parabolic trough solar collector and regenerative system of the coal-fired units. Under different test load conditions, the solar energy into the regenerative system was analyzed by the equivalent enthalpy drop method. The results showed that the heat entering the high pressure location was more significant than the economic improvement of low pressure. In the 210MW test condition, the maximum of the decrement coal consumption was 6.57 g/(kW.h). In addition, the relationship between the economic indexes, the working load and the heat of the solar energy were obtained when the heat enters a certain location.
Study on eliminating the quality defects of vulcanized products with large size rubber-belt vulcanizing machine

With ANSYS software hot plate thermal fields are analyzed and based on the MATLAB software, the functional relationship between hot plate temperature and the length is plotted, and then the fitting curve is given; the vulcanization intensity of belt is calculated, and the three-dimensional model figure of vulcanization intensity over time is drawn; the vulcanization effect of belt is calculated, the hot plate curing effect and the length of the curve is drawn to address the tape when the quality of intermittent curing deficiencies, the hot plate the equivalent scope was summarized.
Improved de-noising approach of Fiber Optic Gyroscope based on lifting scheme wavelet

An improved method based on Lazy wavelet lifting scheme and mixed threshold function combined with idea of domain relative filters is proposed for the purpose of enhancing the accuracy of de-noising output of Fiber Optic Gyroscope (FOG) and eliminating the drawback of slow speed of former wavelets. This new method can reduce the bias of soft threshold function and the variance of hard threshold function to increase the local and global de-noising accuracy with the advantage of low computational cost. The de-noise results of one FOG's static and dynamic output signals used in practice demonstrate the validity of this method, less time and high accuracy, and show its value for practical application.
Tone confusion in spoken and whispered Mandarin Chinese

Mandarin Chinese relies heavily upon the presence of a lexical tone to distinguish between otherwise homophonic words. In normal speech, lexical tone is conveyed primarily by means of a pitch contour which is imparted through control of the geometry and tautness of the glottis. Because of this importance, the relationship between pitch and Chinese tone, and its role in speech communications has been studied, and is relatively well understood. However the situation is different for whispered Chinese speech, in which the glottis remains open and is thus unable to influence pitch directly. For whispers, fundamental pitch is absent and can thus not be used to convey lexical tone. Does this then mean that the lexical tone of whispered Chinese is unintelligible? This paper reports the results of several experiments which have been conducted in order to investigate whispered Mandarin Chinese words in context-free carrier sentences.