nils-herrmann/clean_scirepeval huggingface dataset:
Characteristic research of commutation failure for hybrid AC/DC system

Commutation failure is a kind of common failure type for Ultra High Voltage Direct Current (UHVDC) system, and its influence on hybrid AC/DC system are widely studued by researchers. Based on the detailed hybrid AC/DC system model, established in electromagnetic transient simulation software PSCAD/EMTDC, dynamic characteristics of the hybrid system under commutation failure, and key influence factors for commutation failure degree, are researched in this paper. In the model, UHVDC is connected to the AC system through double circuit transmission lines. Research results show that, the established hybrid AC/DC system model in this paper can reflect electromagnetic properties of different operation conditions, especially for commutation failure condition, and strength of AC system, fault type, fault resistance and other factors will have an apparent impact on commutation failure degree, laying solid foundations for subsequent protection related issues in hybrid AC/DC system.
Discrete-time feedback control design for a class of stochastic hybrid systems with sample delay

This paper concerns the discrete-time feedback stabilization for a class of stochastic hybrid nonlinear systems. Different from the existing works, the influence of sample delay has been considered in the controller design which is based on the sample data. By introducing an auxiliary controlled system and imposing some proper suppositions on the systems, the sufficient conditions relating to the sampling interval and the sample delay have been obtained, under which the provided control scheme can guarantee the mean-square exponential stability of the considered system. In addition, it is worthy of mentioning that both the uniform cases, where the sampling interval and the sample delay are fixed, and the non-uniform case have been investigated.
Taste sensor using strongly hydrophobic membranes to measure hydrophobic substances

A taste sensor using a lipid/polymer membrane, i.e., an electronic tongue with global selectivity, has been developed for objective evaluation of the taste of foods and beverages. Moreover, the taste sensor has been also contributing to safety of foods, e.g., the sensor membrane with strong hydrophobicity was used to detect sodium dodecyl sulfate (SDS), a negatively charged surfactant, which was generally added into the pesticide because of its strongly melting effect. An immersion process in monosodium glutamate (MSG) solution, called “MSG preconditioning” was needed to obtain the change in membrane electric potential caused by adsorption (CPA) for sensor membrane before measurement. However, what happened to sensor membrane during MSG preconditioning is unclear. In this paper, we examined the relationship between the CPA value and the period of MSG preconditioning. The amount of adsorbed SDS and MSG was measured to figure out whether the CPA value is related to the amount of adsorption. As a result, with the precondition process progressed, the CPA values showed concentration dependence on SDS concentration, and increased to a peak by preconditioning for one day then decreased to a stable state after that. The amount of adsorbed SDS depended on the SDS concentration but did not change with the increasing of preconditioning time. In conclusion, we revealed that the most suitable time of MSG preconditioning for the membrane for SDS was one day. The CPA value was affected by both the surface charge density and the amount of absorption.
Research on routing method on peer-to-peer network

At present, the Internet model of the system is taking place from a traditional client / server (client / server) mode to right-Peer Computing (peer-to-peer, also referred to as P2P) mode to transmit. The core idea of P2P is that all participating nodes in the system (referring to a computer on the Internet) is completely equal status, there is no distinction client and server, it can be said that each node is both a client and also server; both to provide services to others , but also to enjoy the service from others. This article will topology information into unstructured P2P networks, unstructured P2P networks and take advantage of the inherent characteristics of the network domain, the choice of classification and super-node, thereby enhancing the efficiency and success rate of queries to reduce the burden on the network.
A Novel Multi-Antenna Based Non-Line-of-Sight Error Mitigating Algorithm

The Non-Line-of-Sight (NLOS) propagation effect has been considered as one of the most important issues in the location estimation especially in urban environment with serious blocking of direct paths. In this paper, we develop a new algorithm to mitigate the NLOS errors in location estimation by distributed multi-antenna. Utilizing the relativity between TOAs obtained from different antennas in a multi-antenna array, the positions of scatterers that cause the NLOS propagation, as well as the distances between mobile stations (MSs) and scatterers, are estimated. Then with appropriate location algorithm, the locations of MSs are obtained with information of scatterers. Simulation results show that this algorithm can mitigate NLOS errors effectively and improve the performance of TOA/TDOA based location algorithm in NLOS environment significantly.
Global Chaos Synchronization of the Brushless DC Motor Systems via Variable Substitution Control

The global synchronization of chaotic brushless DC motor (BLDCM) systems via variable substitution control is investigated. A master-slave synchronization scheme with variable substitution control is constructed at first. Based on this scheme, some sufficient criteria for global chaos synchronization of the master and slave BLDCM systems via various single-variable coupling are proved. The effectiveness of the obtained criteria is numerically verified by the examples.
Research and Implementation of Internet Public Opinion of Information Processing System

At present, the collection, analysis and processing of the internet public opinion has become an effective means of organs and departments to get people thinking and recommendations, corporate mining opportunities, this paper through to the internet public opinion of information collection and processing, proposed to automatically obtain information for the network forums, automatic classification, automatic extraction of keywords, automatic analysis of hot topics and the result is stored in the public opinion information servers and processing and management information management model of internet public opinion. The model will be achieved with minimal manpower and resources overhead to achieve the optimal effects of public opinion analysis, the end of this paper experiment verify the validity and rationality of the model.
A MEMS-based flexible electrode array using composite substrate

We present a MEMS-based flexible subdural electrode array for neural recordings. The electrode array is fabricated on a composite substrate of polyimide and biomedical-grade polydimethylsiloxane(PDMS). The electrodes are deposited on polyimide layer, and the whole device is packaged by PDMS. Ablating with a CO2 laser is applied to expose the electrodes sites. The surface of the electrodes is modified to increase the surface area, which can decrease interface impedance by nearly 90%. Prototypes of 2×4 and 2×1 arrays are fabricated with exposed electrode diameters of 0.5mm and 2.3mm respectively. After full package, the whole thickness of the electrode array is 0.7mm. For the 2×4 array, the average electrode impedance is 18.9 kΩ for normal 0.5mm electrodes and only 1.58kΩ for surface modified 0.5mm electrodes. The 2×1 array was successfully subdural implanted into a rabbit's brain, and get its electro-corticogram(ECoG).
Global Chaos Synchronization of the Lorenz–Stenflo Systems via Linear State Error Feedback Control

This paper studies a linear feedback synchronization scheme for the chaotic Lorenz-Stenflo systems. Some sufficient algebraic criteria for global chaos synchronization of the master and slave Lorenz-Stenflo systems via linear state error feedback control are rigorously proven by means of Lyapunov stability theory. The obtained criteria are further optimized to improve their sharpness. The numerical examples verify the effectiveness of these criteria.
Group Key Management in Grid Environment

Grid manages resources and services distributed across multiple control domains. Grid computing provides people the way to share large mount of distributed resources and services that belong to different local domain. It also makes security problems more complicate, such as in the grid group communication. In this paper, we analyze security requirements of grid environment, especially for the secure group communication. We discuss the group key management for group communication and propose the scheme to implement the flexible secure group key management in grid environment. The algorithm and protocol are presented according to different conditions, and their characteristics are analyzed
Availability Modeling of Generalized $k$ -Out-of- $n$ :G Warm Standby Systems With PEPA

Developing analytical availability models for <inline-formula> <tex-math notation="LaTeX">${k}$ </tex-math></inline-formula>-out-of-<inline-formula> <tex-math notation="LaTeX">${n}$ </tex-math></inline-formula>:G warm standby repairable systems with many nonidentical components is tedious and error-prone, requiring specification of the generator matrix of a high dimensional Markov chain. Using the performance evaluation process algebra (PEPA) as an intermediary, this paper gives a new modeling approach for availability evaluation of such systems with <inline-formula> <tex-math notation="LaTeX">${r}$ </tex-math></inline-formula> repair facilities. The components of the system are classified into <inline-formula> <tex-math notation="LaTeX">${n}$ </tex-math></inline-formula> different groups that consist of statistically identical components following exponential time-to-failure and repair time distributions. A library of PEPA components and their actions are defined for system component groups, repair facilities, repair queue, and system dynamics. To capture the dependency of system states on components, a signaling mechanism is realized by actions with suitably high rates. A compilation tool is provided to automatically generate the PEPA model from a brief specification of the system, using the library components. This provides input for the PEPA analysis tool and is amenable to availability analysis. Examples are used to illustrate the proposed modeling method. Modeling with PEPA provides an efficient way to deal with availability evaluation of systems considered with many groups of repairable components.
Effect-based quality of database and heavy loaded communication

According to the current rapid development of wireless communication technology and various users of data services needs of business and rapid growth, more features need to be added and widely used in data enquire, also need to support multimedia services. The demands of Internet database access, video and other new business have great impact, considering the estimated demand for the spectrum is conservative. The estimated volume of business it is necessary to take into account the needs of the market, but also take into account technological developments. Technical design is discussed, spectrum sharing, modulation, speech coding rate, common signaling channel are achieved.
The Construction of Innovation Networks and the Improvement of Technology Capabilities of Industrial Clusters in the Developing Countries

The construction of innovation networks is one of the most important means to improve the technology capabilities of industrial clusters. Making use of the opportunity of global transfer of semiconductor industry, Korean semiconductor industry clusters came into being and their technology capabilities became stronger with the construction of innovation networks. Based on literature review and case study, this paper applies 'technology gradient' theory to put forward the conceptual model of the relationship between the construction of innovation networks and the improvement of technology capabilities of industrial clusters in the developing countries underlying global industry transfer, then educes the main conclusions as follows: firstly, as one of outcomes of global industry transfer, 'technology gradient' provides path to construct exterior innovation networks for industrial clusters in the developing countries in order to acquire outer resources of science and technology; secondly, assimilation and translation of outer science and technology resources into inner technology capabilities need support from interior innovation networks; thirdly, the seamless link of both interior and exterior of innovation networks and the matching of their structures become important factors which affect the effectiveness of technology learning and the efficiency of technology capabilities of industrial clusters in the developing countries
Research on strategic environmental analysis of small hydropower enterprises in china: a case study of ZhongDaSanChuan Hydropower Ltd.

With the rapid economic development in China, more of electric power is needed. However, the price of the coal and the petroleum has risen because of the crisis of the energy sources, so the thermal power can’t meet the needs of the society and the economic development. State System Reform in Electric Power Industry in China (SSREPIC) provides the private capital with a chance to enter into the market. Based on theory of strategic environmental analysis, the social environment faced by small hydropower enterprises (SHEs) in China is analyzed from political, economic, social-cultural, technological and natural environments perspective, and the industrial environment is analyzed with the Porter ‘s Five Forces Model. As a case study, the internal environment of ZhongDaSanChuan hydropower Ltd. (ZDSC) is analyzed from the resource-based view. At last, ZDSC’ strategy is introduced based on the SWOT analysis. Strategic Environmental Analysis, Firm Strategy, SWOT analysis, small hydropower enterprises
Implementing the compiler of AADL behavior annex using ANTLR

Behavior Annex is the extension of AADL which enhances AADL's detailed description of system's behavior. It provides better support for modeling and analyzing system's non-functional properties, such as reliability and security. The analysis for the properties of AADL model is based on the model compilation. Hence, in order to facilitate the extraction of the AADL's behavior model during the model analysis, we design the compiler of behavior annex to transform behavior model into structured XML documents based on the characteristic of AADL components. This article uses the compiler generating tool ANTLR to implement the lexical and syntactic parser of behavior annex and designs the meta-model classes of behavior annex using EMF. We call the meta-model classes during the syntactic analysis to generate the class objects and complete the parser of AADL behavior model. Finally, the compiler uses the EMF's internal XMI specification to transform the model class objects into XML documents.
Robust post-processing strategy for gait silhouette

An integrated silhouette with perfect appearance is helpful for gait recognition. However, the silhouettes often have holes or missing parts, because the commonly used motion detection and extraction methods are not always suitable for every case. A robust post-processing strategy is proposed here to refine the raw silhouettes. First, an individual silhouette model which represents the mutual characteristic of a certain sequence is trained to update the current sequence. Then a population silhouette model which represents the mutual characteristic of all sequences in the dataset is trained to update the sequences that need further refinement. The experiments on NLPR database show that the proposed algorithm is quite effective and helps the existing recognition method to achieve higher classification performance.
Low-cost circuit design of EEG signal acquisition for the brain-computer interface system

Increasing number of research activities and different types of studies in brain-computer interface systems (BCIs) show potential in this young research area. However, BCIs have not become widely applied, most of them are still limited in the laboratory and off-line. One of the important reasons is that: EEG signal acquisition is completed by the professional medical equipments. They are expensive and the parameters of them cannot be flexiblely changed with the specific BCI experiment paradigm. In the paper, a single-channel low-cost circuit of EEG signal acquisition for the BCI system is designed. The circuit is composed of protection circuit, instrumentation amplifier, common mode rejection (CMR) circuit, gain adjustable amplifiers and filters. In order to test this circuit, the circuit simulation and the real-time EEG measurements are implemented. The experimental results show that the circuit is effective with good performance, it is very suitable for the online BCI system.
Implement an asynchronous online SSVEP-based brain computer interface

The research of brain computer interface (BCI) has important theoretical significance and wide application prospect. The BCI system based on Steady-state visual evoked potentials (SSVEP) has the advantages of noninvasive signal recording, little training required for users, high information transfer rate(ITR), and ease of use. However, most of the applications based on SSVEP-based BCI are synchronous. One of the important factors is the limitation of visual stimulators. In this paper, a new low-cost stimulator flashing with accurate frequency output was designed. By this way, the computer monitor can be used as a feedback interface for the online system. The stimulator consists of LED stimulation panel derived by FPGA chip. Experiments with ten subjects were performed, and the results demonstrate that the stimulus frequency generated using the proposed scheme was accurate, and the developed SSVEP-based brain computer interface is feasible for use.
Safety Analysis for Complex Systems Based on Petri Nets and Reachability Trees

The safety of the complex systems depends not only on all failed states of system components, but also on the sequence of occurrences of those failures. Classical methods in sequential failure analysis always starts with given sequences of the failures in the system, so the sequences of the failures should be identified and the probability of their occurrences should be determined. The method used in this paper employs Petri nets modeling and reachability trees, which can be used for identifying the failure sequences and assessing the probability of the occurrence in complex systems. Finally, the method is demonstrated on an example of an automated assemble system.
Distributed coordinated tracking for the Lagrange network systems via quantized data exchange

This note investigates distributed coordinated tracking for the Lagrange network systems under quantized data exchange. A logarithmic quantizer is designed. Based on the quantizer, the tracking problem is studied by means of the differential inclusion theory. A criterion for the tracking with error bound is rigorously proven. A numerical example for the unmanned underwater vehicles (UUVs) verifies the new results.
Study on a KQML-Based Intelligent Multi-agent System

This paper presents the research and design of an intelligent Multi-Agent System (MAS). The KQML(Knowledge Query and Manipulation Language) is extended to serve as the agent communication language. The communication and facilitation mechanisms of the MAS are implemented using CORBA event service and object trading service. The usability and functionality of the system are demonstrated by a multi-operator control sharing application for uninhabited combat aerial vehicles.
Empirical study on the linkage of intellectual capital and firm performance

Heterogeneous performance of the firms is explained by several different theories. Following the vein of the resource-based view, we expected to import intellectual capital theory to explain the firm performance. Intellectual capital, which is composed of human capital, structural capital, is the strategic assets, which seem to be related positively to firm performance. The result of empirical study showed a positive and significant role of intellectual capital in influencing the financial performance of the firm.
A piezoelectric alternative magnetic field energy harvester with permanent magnet bias

In this paper, an electromechanical energy harvester with resonant frequency of 55.5Hz and ability of scavenging the AC current energy by magnetic field coupling is designed and characterized. The energy harvester consists of a piezoelectric cantilever and a permanent magnet bias. An iron mass is mounted on the free end of the cantilever with the permanent magnet set proximity to it. This structure greatly simplifies the fabrication and installation of the energy harvester. The device is placed close to a wire carrying AC current to couple its alternative magnetic field. The alternative magnetic force on iron mass is enhanced due to the static magnetic field from the permanent magnet. Thus the piezoelectric cantilever is deflected and generates an output power. Experiment results show that the open circuit output voltage reaches 0.66V with respect to an alternative magnetic field produced by a 40-turn coil with 10mA AC current. The tested maximum output power is 0.4μW with optimal impedance of 500kOhms.
High-Q and Unidirectional Emission Whispering Gallery Modes: Principles and Design

The general principles of the unidirectional emission of a high-Q whispering gallery mode (WGM) in deformed circular microcavities are studied and presented in this paper. In the phase space of deformed microcavities, light in the chaotic sea leaks out from the cavity through specific refraction regions, the positions of which are determined by the stable islands and the unstable manifolds. By changing the cavity shape, we can tune the positions of the refraction regions, as well as fixed points, to achieve unidirectional emission with narrow angular divergence. The microcavity with high-Q and unidirectional emission makes high-efficient free-space excitation and collection possible; thus, it can be applied for far-field detection of nanoparticles and low-threshold lasers with collimated emission.
Direct fuzzy logic controller for voltage control of standalone three phase inverter

This paper presents an adaptive control strategy for voltage regulation of three phase inverter in the standalone application. A direct type adaptive fuzzy logic controller (FLC) is employed which reduces the computational cost and guarantees stable load voltage during both steady state and load disturbance. To validate the effectiveness of the proposed control strategy, the output voltage and power flow waveforms of 80kW inverter are presented. In addition, the frequency spectrum of the load voltage is presented to evaluate the harmonic distortion. The system is simulated in Matlab/Simulink software with off-grid linear as well as nonlinear loads. The nonlinear load employed for performance evaluation is a three phase diode rectifier with inductive filter.