nils-herrmann/clean_scirepeval huggingface dataset:
Input-Parallel Output-Parallel Three-Level DC/DC Converters With Interleaving Control Strategy for Minimizing and Balancing Capacitor Ripple Currents

In this paper, the input-parallel output-parallel (IPOP) three-level (TL) dc/dc converters associated with the interleaving control strategy are proposed for minimizing and balancing the capacitor ripple currents. The proposed converters consist of two four-switch half-bridge TL dc/dc converters featuring with simple and compact circuit structures, which can reduce the current stresses of the components and increase the power rating of the converter. The combination of the proposed IPOP TL circuit structure and the interleaving control strategy can greatly reduce the ripple currents on the two input capacitors not only by doubling the frequencies of these ripple currents as the universal benefit of utilizing the interleaving control strategy but also by counteracting part of these ripple currents due to the operation principle of the proposed IPOP TL circuit structure. More importantly, the ripple current imbalance between the two input capacitors can be eliminated by combining the proposed IPOP TL converters and the interleaving control strategy, which can improve the converter’s reliability in balancing the thermal stresses and lifetimes of the two input capacitors. The theoretical analysis of the ripple currents on the two input capacitors is presented in detail. Finally, the simulation and experimental results are presented to verify the proposed converters with the interleaving control strategy.
Research and simulation on separating multi-target with anti-helicopter mine

The detecting error of azimuth with anti-helicopter mine (AHM) based on narrowband filter and the influence factors of the error are analyzed when the frequency of target sound source is the same as that of interfere sound source in perfect sound field. The analysing results show that the larger the flare angle of two sound sources to the AHM is, the larger detection error of azimuth becomes; because of the Doppler effect, the narrowband filter can decrease the detecting error to meet the system requirements under certain conditions. This lays the foundation of solving the problem with the mine field formed from some AHM.
A Courtesy Amount Recognition System for Chinese Bank Checks

In this paper, we present a complete courtesy amount recognition system for Chinese bank checks. The system takes color bank check images as input and consists of three main processing steps: numeral string extraction, segmentation & recognition, and post-processing. They focus sequentially on: detection and extraction of numeral string; segmentation and recognition of the string; and further analysis of recognition results for acceptance or rejection. Information fusion, method complementarity, multi-hypotheses generation then evaluation are three principles employed for designing algorithms in the first two modules. And logistic regression is used for post-processing. A large number of real checks collected from different banks are used for testing the system. Read rate around 82% is observed when the substitution rate is set to 1%, which corresponds to that of a human operator. The performance can also be tuned further toward a suitable balance between inaccuracy and rejection, in accordance with user preference.
Structural hole based link addition for capacity enhancement in scale-free networks

We propose a link-addition strategy, called reduction structural hole (RSH), to enhance the network transport efficiency for scale-free networks. With the development of information technology, traffic capacity becomes an increasingly hot problem for high-speed communications. Adding links to existing networks provides an effective way to enhance traffic capacity. In previous studies, global parameters such as betweenness centrality and shortest path length are commonly used in link addition, in this research however, the structural hole theory is applied to designing the new link-addition strategy that uses local parameters. Specifically, in the proposed RSH link-addition strategy, the concept of network constraint index, which comes from theory of social science and needs only local information, is used to guide how to add links to the existing topology. Theoretical analysis and simulation shows that RSH obtains increased transport capacity and decreased average path length compared with the existing improved efficient (IE) link-addition strategy when used with either the shortest path or efficient routing scheme. In addition, simulations also show that the RSH strategy does not change the scale-free and connectivity characteristics of the network, and thus keeps the strong robustness of a scale-free topology. Both analysis and simulation verify the effectiveness of the proposed link-addition mechanism.
Research on network topology of equipment support organization based on social network

The paper introduces concept and characteristic of method for social network analysis, and then it analyzes and evaluates structure attribute of traditional equipment support organization. According to the complexity characteristics of equipment support organization structure, it optimizes the organization structure, and by data analyzed, it summarizes that network topological structure of equipment support organization has robustness and adaptability. So it can provide a theoretical basis and method direction for building networked equipment support force system of system in wartime.
A Novel Weighted Fuzzy Clustering Analysis Based on AFS Theory

In the framework of AFS(Axiomatic Fuzzy Sets) theory,We propose A novel weight fuzzy clustering algorithm, which is totally different from the traditional clustering algorithm based approaches. The novel weighted fuzzy clustering algorithm has three main advantages: Firstly, the procedures of the proposed algorithm are more transparent and understandable, and the clustering results not only have definite linguistic interpretation,but also have a weight assigned to each attribute in the cluster description to make the weight’s effect on the clustering reflect the importance of the attribute. Secondly, the predefined distance function and objective function are not required, and the cluster number need not be given in advance. Last, the data types of the features can be various data types or sub-preference relations,even human intuition descriptions. To evaluate the performance of the proposed weighted fuzzy clustering algorithm, we consider three well-known benchmark clustering problems–Iris data,Wine data and Wisconsin diagnostic breast cancer data.
Compressive sensing and prior support based adaptive channel estimation in massive MIMO

While massive MIMO obtains a great advantage over traditional MIMO, the overwhelming pilot overhead becomes a challenging problem in channel estimation. Different schemes have been presented and Compressive Sensing (CS) has been applied in this field. In this paper, the FDD massive MIMO system with temporal correlation is considered. We propose a method to compute the number of common indices between two correlated channel supports, which can be used to enhance the performance of channel estimation. Based on the number of common indices, we put forward the modified sparsity adaptive matching pursuit (M-SAMP) algorithm to exploit the prior support adaptively without sparse degree. Simulation results show that the proposed algorithm outperforms the conventional algorithms which exploit the prior support blindly.
Moving horizon estimation for networked systems with packet dropouts

The moving horizon estimation (MHE) problem is investigated in this paper for a class of networked systems with packet dropouts. The packet dropout is described by a binary switching random sequence. The main purpose of this paper is to design a estimator such that, for all possible packet dropouts, the state estimation error sequence is convergent. By choosing a stochastic cost function, the optimal solution of the MHE optimization problem with packet dropouts is given. Moreover, the convergence properties of the estimator are studied, and the maximum packet dropout probability is given to ensure the convergence of the state estimation error. Finally, the performance of the proposed estimator is evaluated and an example is given to demonstrate the effectiveness of the proposed method.
Edge-guided generative adversarial network for image inpainting

In this paper, we present an edge-guided generative adversarial network (EGGAN) for edge-based image inpainting that can be adopted in image compression and transmission error concealment. Our key idea is to integrate edges into the generative network, and train the generative network to minimize both gradient loss and adversarial loss. Given a corrupted image and the estimated edges of the missing area, the trained generative network is capable in generating the missing area in a visually plausible manner, and meanwhile reproducing the given edges faithfully. Experimental results on the challenging face images have shown the effectiveness of EGGAN.
An Extended Frequency Splitting Method for Ultrasound Color Flow Imaging

Signal-to-noise ratio (SNR) can be improved by chirp excitation signal in ultrasound color flow imaging. However, the performance of autocorrelation estimator, which relies on a narrowband approximation, will be degraded by the broadband characteristics of compressed chirp signals. Frequency splitting (FS) method has been proposed to deal with this problem, where broadband signal is divided into several narrow bands, and then the velocity of each subband is estimated and finally averaged to have improved estimation. Nevertheless, Nyquist limit of each subband is different and velocity range will be reduced by the lowest limit. This paper proposes an extended frequency splitting method, which can detect alias in high frequency subbands and also theoretically extend the final Nyquist limit by 3.3 times.
Notice of RetractionInfluence of interlayer on the performance of SAGD with vertical injector and horizontal producer

Based on the geological parameters of LIAOHE oil field, a numerical model with interlayer was established by computer, the STARS block of CMG was employed to simulate steam assisted gravity drainage (SAGD) with vertical and horizontal wells, the influences of interlayer on SAGD, the expansion process of steam chamber (SC) and the production index was obtained and analyzed. The results indicate: whether from the expansion of SC or the curve of oil rate, the process of SAGD can be divided into three phases: raising-stable-decline, the discontinuous interlayer will not affect the production of SAGD.
Light field super-resolution using internal and external similarities

This paper presents a novel super-resolution method for light field images by jointly exploiting internal and external similarities. The internal similarity refers to the correlations that exist across the angular dimensions of the 4D light field itself, while the external similarity refers to the correlations learned from a conventional 2D image dataset. Our key observation is that the internal and external similarities are complementary to each other, and we propose a depth-adaptive fusion scheme to take advantage of both their merits. Moreover, we improve the traditional projection-based method that exploits the internal similarity, by introducing a back-projection refinement and getting rid of the dependency on camera parameters. Experimental results on a variety of light field images validate the superior performance of the proposed method.
IMS shared streaming video

This paper describes the design, architecture and implementation of an IP Multimedia Subsystem (IMS) shared streaming video (SSV) application that executes within the framework of the Lucent Techologies' 3rd Generation Partnership Project (3GPP) IMS services architecture. IMS being only one of several standards for creating applications, we will use the most appropriate standards where necessary and provide “hooks” that glue the different worlds together. Examples of other standards that we will make use of in this application include Hypertext Transfer Protocol (HTTP) and Real-Time Streaming Protocol (RTSP). The SSV application allows for the sharing of streamed video content between multiple users connected in a voice over Internet Protocol (VoIP) call. It allows for the sharing of streamed video content between multiple users connected in a VOIP call and supports two-way, point-to-point calls, as well as multi-party conference calls connected to the SSV conference bridge. We present an overview of the application, describe the design parameters, and discuss the integration of the application components within the Lucent IMS environment. We then describe the functional components and specify their interactions, illustrating this with behavioral descriptions for different application scenarios. One important outcome of this implementation is a framework for including non-SIP protocols such as HTTP and devices such as RTSP video servers into Lucent IMS applications. We also discuss future extensions of this sharing framework to include other media such as MP3 files and Web pages.
New stability criteria for neutral systems with interval time-varying delays and nonlinear perturbations

This paper concerns the problem of the asymptotic stability problem for neutral system with interval time-varying delays and two classes of uncertainties. Based on the Lyapunov method, a sufficient delay-dependent criterion for asymptotic stability is derived in terms of linear matrix inequality (LMI). Slack variables and convex combination technique are adopted to reduce the conservatism of obtained results. A numerical example is given to show the effectiveness of proposed method.
Simulation and Calculation of 2D Electric Field in Arc-quenching Chamber of Vacuum Circuit Breaker

The method of computing electric field and electric potential with ANSYS in VSm-type vacuum breaker arc-quenching chamber is introduced. ANSYS is used to analyze the influence of different boundary on electric field and electric potential in vacuum circuit breaker arc-quenching chamber, which lays a basis for simulation of electric field and exact quantitative analysis and computation
Synergy Effect of Dually Superposed Orbital Angular Momentum States in Atmospheric Turbulence

We corroborate that a synergy effect may emerge when the dually superposed orbital angular momentum (OAM) states with two adjacent OAM numbers pass through a weak fluctuation regime of the atmospheric turbulence. We show that this novel effect closely depends on the transition probabilities between this two OAM eigenstates for superposition. While such probabilities become larger, the synergy effect becomes more obvious. Our examples show that the synergy effect enables OAM states to better resist phase fluctuation caused by the atmospheric turbulence.
A hybrid system based cps model and control of loads in active distribution network

Cyber Physical System (CPS) is a new concept of integration of industry and information technology, and it will affect power grid in many aspects. Active Distribution Network is the basic form of CPS. The DGs' feeder power control has been used in ADN now, but the effect of intermittent loads has not been considered. This paper firstly analyzes ADN's technology status combining with CPS. On the basis of DGs' feeder power control, an intermittent load control framework and strategy will be proposed. Then, the paper presents a CPS control model and control method base on hybrid system. Eventually, the simulation results demonstrate the control model and method actually benefit both the feeder system and the power consumers.
Automating transition from use-cases to class model

To identify objects from the requirements and to model the problem in classes are critical in object-oriented analysis and design (OOAD). Unfortunately, this is recognized as a hard task for most software engineers, because both domain experience and expertise are needed, since there is no crisp guideline. We present an approach with a set of artifacts and methodologies, and to automate the transition from requirement to detail design. Use cases are applied as the method to capture and record requirements. All the use cases are formalized by a use case template. A glossary that contains the domain vocabulary is used throughout the OOAD process to reduce the vagueness of natural language. Some language patterns are introduced to make the automatic processing of use cases possible. We apply robustness analysis to bridge the gap between a use case and its realization, i. e. between a use case and the corresponding collaboration diagram in UML. Some rules are summarized and adopted to automate the object/class identification and behavior distribution among the classes. The implementation of the tool is described.
A Study of Virtual Enterprise Modeling Based on Domain Specific Software Architecture

Virtual Enterprise model affords the valid instruction for rapid establishing and successful running of Virtual Enterprise. However, authors perceive that low quality and low efficiency are serious restriction factor to the development of Virtual Enterprise model. In order to overcome above-mentioned embarrassment in Virtual Enterprise modeling, authors put forward applying software reuse technology and Domain Engineering theory to establishing the Domain Specific Software Architecture of Virtual Enterprise, then develop application system and establish the reusable component library in terms of Domain Specific Software Architecture of Virtual Enterprise. On the one hand, the quality and efficiency of modeling can be promoted remarkably. On the other hand, the model of Virtual Enterprise can be reused in the same domain.
Experimental Research on Very-Fast Transient Overvoltage in 1100-kV Gas-Insulated Switchgear

Very-fast transient overvoltage (VFTO) generated during switching of the disconnector in gas-insulated switchgear (GIS) may threaten the safety operation of electrical equipment. As the rated voltage of GIS increases, the difference between the level of VFTO and its lightning impulse withstand voltage gradually decreases. Hence, VFTO becomes the main dielectric stress to switchgear optimization and insulation coordination for ultra-high voltage (UHV) systems. To obtain the characteristics of VFTO in UHV GIS, two full-scale 1100-kV GIS test circuits were established in China. Two types of capacitive sensors were developed to measure VFTO generated in two test circuits. The measurement systems based on both types of the sensors were calibrated by a special calibration device in laboratories and onsite. The measurable frequency range of the systems is 0.1 Hz ~ 100 MHz and their division ratios are stable. More than 2000 tests by switching the disconnector in GIS had been carried out in the test circuits, and VFTO waveforms were captured by the measurement systems. From the test results, the waveform properties, the striking number, the predominant frequency, and distribution of the trapped charge voltage for full-voltage waveforms, the typical characteristics and oscillation coefficient of single-strike waveform, the distribution of VFTO magnitude was analyzed. The mitigation of VFTO by a damping resistor in the disconnector was illustrated. The maximum magnitude of VFTO was 2.27 p.u., and it was mitigated to 1.33 p.u. by a damping resistor of 500 Ω. The achieved characteristics of VFTO in the UHV GIS have become the basis of VFTO simulation and insulation coordination for engineering design.
Hardware/Software Co-Simulation for Last Level Cache Exploration

Larger last level caches are being considered for bridging the performance gap between the processors and the memory subsystem. It requires much longer simulation time to exercise the whole cache and get accurate evaluation results. In this paper, we motivate the need for a trace-driven hardware/software co-simulation approach to solve this problem. We describe the components of the hardware/software co-simulation: (a) a hardware approach for FSB ( cycle accurate long trace extraction and (b) a software simulation infrastructure to simulate arbitrary length of traces limited only by the storage system. We compare this hardware/software co-simulation approach to previous approaches (software-only and hardware FPGA-cache simulation) and articulate why our proposed approach is more flexible, more repeatable and sufficiently fast for last-level cache exploration. Evaluation results based on our hardware/software co-simulation infrastructure shows that our approach provides accurate results and shows the importance of timing information in accurate trace-driven simulations. We also demonstrate that it is not adequate to use short traces to get accurate results. Instead, the whole trace for the whole lifecycle of the workload, or at least a long trace (~ 5 minutes) should be used to capture the real behavior of the workloads.
A Chaotic Image Scrambling Scheme Based on Sorting Transformation

This paper proposed a chaotic image scrambling scheme based on sorting transformation. The algorithm calculates the permuting address codes by sorting the chaotic sequence. Therefore, the scheme does not require knowing the probability density function of the chaotic orbits in advance, thus not only facilitating the choice of chaotic systems but also reducing the complexity of the scheme. The paper also presented performance analysis of the scheme by statistical methods. The results indicate that the scheme can provide high level of security owing to the strong irregularity of sorting transformation.
Deformation analysis of Multilayer Board in the lamination process

The deformation of core board affects the quality of circuit board, like misalignment, during lamination process of MLB (Multilayer Board). Three main factors causing the deformation are discussed, which are the mismatch of CTE (Coefficient of Thermal Expansion) among different materials, the residual stress in core boards and the special properties of the prepreg. Considering properties changing of the prepreg stage, the model of each stage in lamination process is developed. Then the deformation of core boards in a six-layer MLB is simulated using ANSYS software. Finally, the film compensating factor of 1.15 is determined according to the analysis results, and it is close to the actual factor applied in PCB manufacture process.
The application of association rule mining in power system restoration

The paper introduced the attempt to apply the association rule mining (ARM) method to discovering heuristic rules for power system restoration (PSR) to guide a fast restoration process. In order to employ the popular algorithms of ARM, the process of PSR is represented as a series of actions out of a finite action set. The interesting attributes of each action are mapped as items and the actions are mapped as transactions. Fuzzy set and clustering method are adopted to evaluate the performance of individual action. A sample test is given to demonstrate the validity of the proposed method
The Design and Implementation of Password Authentication System Based on Chaos

This paper proposed the construction algorithm of chaotic Hash function based on Hénon-like mapping, and designed one password authentication scheme on basis of chaotic scramble sort algorithm and chaotic Hash function; it also resolved the insecurity problems that can’t resist little numbers attack, the iteration times of plaintext transmission and the attack of fraud server in the scheme. It finally implemented the one time password authentication system based on chaotic scramble sort table and chaotic Hash function.