nils-herrmann/clean_scirepeval huggingface dataset:
Inductive learning in power system voltage control

The application of inductive learning to voltage control and contingency assessment of power systems is considered. The first application discussed is the identification of correct control amount for remedial actions. The inductive learning application is intended to obtain a decision tree which identifies a proper value of the low voltage limit. It is shown that learning capability can be incorporated into a voltage control expert system (VCES) by including a decision tree. The VCES obtains the appropriate low voltage limit from a precomputed decision tree. The software implementation of th VCES with learning capability is described. The VCES with a learning module is integrated into the dispatcher training modulator environment. The second application is an attempt to use inductive learning to identify critical operating conditions/outages which may cause voltage problems in a power system. The selected attributes, generation of the training and test sets, and the numerical results are summarized.<<ETX>>
An Analog Model For The Interaction Between Systemic And Coronary Circulation

An analog electrical model was developed to characterize the hemodynamic relations between the coronary circulation and the systemic circulation. The model for coronary circulation included a nonlinear stenosis resistor, an endocardial channel, and an epicardial channel. The intramyocardial pressure of the left ventricle acted as a back pressure against the coronary flow. The behavior of the complete analog model (both systemic and coronary) was determined by use of a state-space method. As an example, the model was used to simulate and quantify the diastolic augmentation of coronary flow by intraaortic balloon pumping.
A Secure Cryptocurrency Scheme Based on Post-Quantum Blockchain

Nowadays, blockchain has become one of the most cutting-edge technologies, which has been widely concerned and researched. However, the quantum computing attack seriously threatens the security of blockchain, and related research is still less. Targeting at this issue, in this paper, we present the definition of post-quantum blockchain (PQB) and propose a secure cryptocurrency scheme based on PQB, which can resist quantum computing attacks. First, we propose a signature scheme based on lattice problem. We use lattice basis delegation algorithm to generate secret keys with selecting a random value, and sign message by preimage sampling algorithm. In addition, we design the first-signature and last-signature in our scheme, which are defined as double-signature. It is used to reduce the correlation between the message and the signature. Second, by combining the proposed signature scheme with blockchain, we construct the PQB and propose this cryptocurrency scheme. Its security can be reduced to the lattice short integer solution (SIS) problem. At last, through our analysis, the proposed cryptocurrency scheme is able to resist the quantum computing attack and its signature satisfies correctness and one-more unforgeability under the lattice SIS assumption. Furthermore, compared with previous signature schemes, the sizes of signature and secret keys are relatively shorter than that of others, which can decrease the computational complexity. These make our cryptocurrency scheme more secure and efficient.
The rate response and synchronization of muscle contractions in the forearms

This study seeks to obtain preliminary data to determine how well a digital control implementation could be used to control electromechanical devices by using surface electromyogram (EMG) signals. Current methods using EMG signals to control prosthesis and other devices employ analog and proportional control. This study looks to examine the problem from a digital point of view. EMG signals were recorded from the forearm flexor muscles on each arm from fifteen able-bodied individuals. Each subject was asked to perform a sequence of forearm flexions(left, right, both arms simultaneously, both arms alternating) . The maximum rate at which a human could perform the forearm flexion was also measured. The maximum rate recorded for forearm flexions was 4.67±1.12 Hz for the given sequences that each participant was asked to perform there was an average accuracy of 95.0% ±8.25%.
Path planning based on immune genetic algorithm for UAV

A novel approach of path planning for unmanned aerial vehicle(UAV) is presented based on immune genetic algorithm(IGA) with elitist. IGA introduces immune operator and concentration mechanism which improve the inherent defects of premature and slow convergence speed existing in genetic algorithm (GA). Simulation results show that an ideal flight path can be more quickly searched using IGA, under conditions of meeting the requirements for UAV and the given constraints. Correctness and effectiveness of IGA are verified.
A study of water trees in polymers under different conditions

XLPE cables have been used in power grid in China for many years for its excellent performance. But with the water tree degradation occurring in the XLPE cables which were put into use early, more and more cable insulation breakdown accidents happened. Consequently, study on the water treeing phenomenon and the factors influencing it are of great significance, either to understand the mechanism of polymer aging or to safely operate the power cable. The IEC recommended experimental method and equipment were adopted in this research. In this paper, the factors influencing the initiation and growth of water trees were researched, like aging time, electrical field, frequency, dielectric constant of saline solution and etc. Water trees were developed three polymers, silicon rubber, polyethylene and PMMA. The study emphasis was put on the influence of hydrophilic character and Young's modulus to the water tree growth. The comparison of LDPE sample before and after water treeing shows that the dielectric parameters have great change. This experiment provides a reliable basis to study the water trees growth and development of new types of resist water trees materials.
Study on hybrid heuristic algorithm for multi-depot vehicle routing problem with hybrid picking-delivery strategy

With the rapid development of electronic commerce and logistics distribution, multi-depot vehicle routing problem with backhauls (MDVRPB) as influencing electronic commerce more step development, has been paid more attentions. According to the characteristics of model, hybrid heuristic algorithm is used to get the optimization solution. First of all, use hybrid coding so as to simplify the problem; construct the pertinence of initial solution to enhance the feasibility of solutions. Improved partially matched crossover operators can avoid destroying good gene parts during the course of crossover. According to the traditional genetic algorithm shortcomings of slowly convergent speed, the study adopts the strategy of protecting gene as whole, introduce adopts 2- exchange mutation operator. Secondly, stock elite adopting genetic algorithm with taboo searching algorithm to improve the convergent speed. This algorithm can offer the thought to settle the practical problem in scale. At the same time, it can be known that adopting hybrid picking-delivery strategy can save the distance of distribution route so as to improve economic benefit.
Solving Continuous Optimization Using Ant Colony Algorithm

One shortcoming of ant colony optimization is that it can not be applied on continuous optimization problems directly. In this paper we propose a new approach for solving continuous optimization problems using ant colony algorithm. While the method maintains the framework of the classical ant colony algorithm, it replaces the discrete frequency in the ant selecting probability by a continuous probability distribution formula using the continuous integral instead of discrete summation. We also use the direction towards the optimum in each dimension as the heuristic information guiding the ants’ searching. Experimental results on benchmarks show that our algorithm not only has faster convergence speed than other similar methods, but also effectively improves the accuracy of solution and enhances its robustness.
Stability and stabilization of stochastic systems by feedback control

In this paper, stability and stabilization of linear stochastic time-invariant systems are studied based on spectrum technique. First, some definitions of stability are given. With the help of a spectrum operator LA,C, the relationship among mean square exponential stability, asymptotical mean square stability, 2th moment exponential stability, the spectral location of the systems is revealed. Second, a criterion on almost surely exponential stability based on spectrum technique is obtained. Finally, we give sufficient conditions for mean square exponentially stability or asymptotic mean square stability via linear matrix inequality (LMI) approach.
RGB-D object recognition based on RGBD-PCANet learning

In this paper, a simple deep learning method namely RGBD-PCANet is proposed for object recognition effectively. The proposed method extends the original PCANet for RGB-D images. Firstly, the RGB and depth images are preprocessed to meet the requirement of the network input layer. Secondly, features of RGB-D images are extracted by the two stages RGBD-PCANet which consists of cascaded PCA, binary hashing, and block-wise histograms. Finally, the SVM method is used as classifier. We evaluate the proposed method on the popular Washington RGB-D Object dataset. Extensive experiments demonstrate that the proposed RGBD-PCANet method achieves comparable performance to state-of-the-art CNN-based methods and the runtimes are low without GPU acceleration.
RETEX (RElay Testing EXpert): an expert system for analysis of relay testing data

A new expert system application to power system protective relay evaluation testing, a crucial but time-consuming engineering task, is presented. An expert system called RETEX (relay testing expert) has been developed as a computer aid for analysis of relay testing data. A knowledge base for relay testing data analysis has been developed. A relay logic model is used to determine the expected relay operation for simulated faults. Hierarchical test reports and comparison reports can be automatically generated by RETEX, which is designed with basic language processing capabilities. The generality necessary for handling various relay models is provided by a description file approach. The expert system is implemented in a rule-based and object-oriented architecture with the expert system development tool NEXPERT Object. The feasibility of the prototype has been demonstrated with Bonneville Power Administration (BPA) relay testing data.<<ETX>>
A comparative study of reliability of GaAs MESFETs with TiAl and TiPtAu gate at elevated temperature and high current density

A comparative study of the performance degradation of GaAs MESFETs with TiAl and TiPtAu gates at elevated temperature and high current density is presented. Results show that (1) the increase in gate series resistance R/sub g/ is a main factor that leads to increase in ideality factor n of TiAl and TiPtAu gate Schottky diodes. (2) The TiAl gate Schottky diode performance (gate series resistance R/sub g/, ideality factor n, barrier height /spl Phi//sub b/) degrades rapidly whereas the device parameters such as maximum drain saturation current I/sub dss/, open channel resistance R/sub 0/ below the gate, pinch-off voltage V/sub p0/ etc., remain fairly unchanged. (3) For the TiPtAu gate MESFET, with suitable annealing, the Schottky diode performance (ideality factor n, barrier height /spl Phi//sub b/) remains stable whereas the device parameters such as maximum drain saturation current I/sub dss/, open channel resistance below the gate R/sub 0/, pinch-off voltage V/sub p0/, the transconductance g/sub m/ etc. degrade rapidly. The performance degradation of the two types of MESFET forms a sharp contrast.
Research on Ports Cooperation in China Tianjin and Hebei Area Based on Factor Analysis

Recently, the Tianjin and Hebei area has become one of the fastest developing areas in China. As the hub of logistics, the port system plays an important role in further boosting the region's economic development. This paper starts with an overview of port logistics in Hebei and Tianjin and then identifies the necessity of port cooperation in this area. An index system for port logistics competition is proposed on the basis of the connotation of port logistics competition. By using factor analysis, port logistics competition of each port in this area is evaluated. The results can be used to guide the positioning and development of each port based on its own advantages. Thus, the strength of the port logistics of the whole area can be improved.
Mechanism for composite materials with dielectric constant which increases with electric field

A composite material has recently been described in a patent application for which the dielectric constant increases substantially with electric field. While the patent describes the material in some detail, including providing examples of composites and processing methods which do and do not produce field-dependent dielectric constant, the patent provides no suggestion of the mechanism which produces the increasing dielectric constant with field. The present contribution suggests mechanisms which are consistent with the data in the patent application based on numerical computations.
The simulation research of model predicting control (MPC) arithmetic of unit plant coordinated control system

This paper provides a new control strategy that by using the Smith predictor overcomes time-lag influence. A model predicting control arithmetic is designed which can improve the limit that Smith predictor requests on process model higher accuracy and time-varying parameter by setting up a mechanism mathematic model of the unit plant. The result of a simulation test indicates that the control problem of the system can be solved for a typical great inertia, time lag and time-varying parameter in main steam pressure.
Research of Unstructured Data Transformation Based on XML

There are much unstructured data in all kinds of application systems. It is very important to manage these unstructured data and transform them into structured data. XML language is very suitable for data storage and data exchange. Data transformation utility was developed using Microsoft Visual Studio 2005. The textual data in Microsoft word table files can be transformed into text file, the data in which can be imported into database. So the transformation of unstructured data can be accomplished with this utility.
Control and simulation of grid-connected micro-grid

Grid-connected control method and simulations of the micro-grid are presented in the paper. The typical configuration of the micro-grid is presented. In order to ameliorate the effect of power quality during the grid- connected process, the power flow in the micro-grid is analyzed based on the characteristic of frequency and active power, and the time when the difference value of the voltage between the main grid and the micro-grid become zero is chosen as the best chance to connect. In the grid-connected mode, P/Q control is adopted. By the simulation tool Matlab/Simulink, different grid-connected processes are simulated and compared. The frequency and active power fluctuations are analyzed. The results indicate that the control method is effective in dominating the micro-grid during the grid-connected mode, and the choice of the best chance to connect has a great effect on the power quality in the micro-grid.
Joint downlink beamforming and space-time block coding for DS-CDMA systems in frequency selective fading channel

A downlink beamforming combined space-time coding and power control scheme for DS-CDMA systems in frequency selective fading channel is presented in this paper, in which the space-time coding is implemented by using two array antennas and the beamforming weights and transmitted power vector are obtained by an iterative algorithm such that the whole radiated power is minimized while the signal-to-interference and noise (SINR) requirements is maintained. Then a simplified algorithm for decreasing the complexity due to the existence of multipaths is suggested using equivalent one-path channel vector (EOCV) to replace multipath vectors. Simulations compare the performance between conventional space-time coding scheme and our method.
Design of leakage detection and location system for long range crude oil pipeline

A pipeline detection & location system with 2% resolution of the total flow was designed and widely applied in long range crude and product oil transmission pipeline in China. It responses to a leak in 3 minutes and its location precision is lower than 2% of the whole length of the pipeline between two stations. Negative pressure wave technique and wavelet transform algorithm, which are two main algorithms applied in the design of the leak detection & location system are briefly discussed in this paper. And emulation analysis was carried out on a 36km pipe with different size leak holes, and application of maiden filter were given to eliminate large pulse noise. Finally, the construction and communication of the system are introduced.
Shortening-Deactivation and Stretch-Activation During Spontaneous Contraction and Relaxation of Bivalve Cardiac Muscles

Shortening-deactivation and Stretch-activation are well established techniques to study the dynamics of muscles. However, very limited data exists for comparing the two techniques. This study was conducted to perform stretch and release on the same muscle specimen and to determine whether a correlation exists between the two data sets. The entire heart of the clam (Venus mercenaria) was used in a muscle bath preparation. The neurotransmitter 5-hydroxytryptamine (5HT) was used to modulate the cardiac rhythmicity. Stretch-activation and shortening-deactivation at different phases of a spontaneous contraction cycle were introduced by used a computer-controller lever system. A preliminary analysis based on the time integral of the deviation of a perturbed force curve from the normal curve did not show a significant correlation between stretch-activation and shortening-deactivaton. Future study will include additional experiments and more sophisticated model-based analyses.
Research on forestry ecological construction and sustainable development

To speed up the forestry ecological building is the strategic choice of the economy and society sustainable development and the key of the harmonious development between person and nature. However nowadays China still faces many problems in ecological construction that are seriously hindering the sustainable development of forestry. This article utilizes the combination method of theory and reality, on the foundation of analyzing our forestry ecological building present situation, develops the special study and research to the problem in forestry ecological building and the sustainable development. We propose to carry out the scientific development concept comprehensively and deepen reform innovation mechanism, to speed up the advancement of forestry financing multiplication channel, to encourage and attract companies, individuals and social groups to invest in forestry, to promote the support ability of the technology to the sustainable development of forestry, to strengthen all the people's ecology consciousness to realize the economy and society sustainable development.
Simultaneous localization, mapping and detection of moving objects with mobile robot in dynamic environments

This paper presents a novel approach for simultaneous localization, mapping (SLAM) and detection of moving objects based on matching 2D range scans. We use the uncertain region to judge the type of scan points, thereby improving the accuracy of distinction between the dynamic and static objects. The approach improves the accuracy of SLAM in dynamic environment, reduces the interference caused by moving objects, and enhances the practical utility of traditional methods of SLAM. Moreover, the approach expands fields of both research and application of SLAM in combination with target tracking method. Results in real robot experiments show the effectiveness of our method.
A smartphone based activity analyzer for monitoring and encouraging exercise

Previously a microprocessor-based device, called Activity Analyzer with voice-Guidance for Independent Living Environments (AAGILE), was developed. The present project is focused on the implementation of AAGILE on a mobile platform that utilizes smartphone hardware such as the accelerometer and voice recording. The resulting app monitors and responds to user physical activity and inactivity; recorded voice messages will initiate to encourage exercise and/or provide instructions. This project has resulted in a cost-effective AAGILE system intended for increasing the level of activity for the older adults population.
Research on optimization efficiency of Genetic Algorithms

In order to evaluate the optimization efficiency of Genetic Algorithms (GA), this paper presents an efficiency evaluation criterion based on average optimization generation and time efficiency of GA, which not only can avoid infection evaluating the efficiency of GA on random factors commendably, but also consider the time firstly. So that it provides gist of evaluation criterion and theory for selecting the efficient GA parameters. According to this criterion, we have made an evaluation and analysis for GApsilas efficiency influence about the population size, crossover probability and mutation probability. Based on the statistical of function F2, simulation result shows the highest efficiency when GApsilas population size, crossover probability, mutation probability are 30, 0.7~0.8, 0.001~0.05 respectively.
Research on business network competence structural model under low trust level

Network is one common model, but we still can not measure the business network competence structural under low trust level. Based on this real problem, this paper takes empirical research methods to explore the business network competence model under low trust level. The model consists of network planning, relationship management, resource identification and acquisition, management qualification. After analyzing the unique nature of enterprise networks under low trust level, on the one hand, this conclusion can expand the network theory to have the applicability and explanatory under low trust level, on the other hand, it can help enterprises to understand how to upgrade their own networks under low trust level.
Software for characterizing the ionic basis of the molluscan cardiac action potential

The goal of this modeling effort was to examine how individual membrane currents determine the repertoire of electrical signals recorded from bivalve cardiac action potentials. Software was developed in C++ (for both PC and Macintosh) and Java (Internet). A series of Hodgkin-Huxley equations described the kinetics of pacemaker activity, while a degree of customization was incorporated into the simulation, enabling the user to adjust parameters to accommodate a number of animal models. A graphical user interface was developed, suitable for demonstrating the dynamics of the system to students at the introductory level via the Internet. Modulation by molluscan neurotransmitters (5HT, FRMFamide, acetylcholine) was tested by adjustment of the respective ionic conductances. The model exhibited high sensitivity to minor alterations in model parameters and provided quantification of physiological recordings. The simulation software will be useful for developing hypotheses and interpreting experimental data, in an attempt to conduct more quantitative studies on invertebrate hearts. It is proposed that the model will be used as an educational tool for introducing ionic conductance and equilibrium potential as key components of the membrane potential in pacemaker mechanisms. This will be conducted in parallel with related animal investigations in the laboratory.