nils-herrmann/clean_scirepeval huggingface dataset:
A Novel Edge Enhancement Method for Ultrasound Imaging

One of the most important problems in ultrasound image processing is to find the edges of structures and enhance weak borders between different organs. In this paper, we propose an algorithm that detects and enhances edges adaptively based on local histogram distribution. From the local histogram distribution we can get the "local histogram range image (LHRI)". On the basis of this image we apply an adaptive edge enhancement method to process ultrasound image. We find that the detection technique performs well, edges and borders are then enhanced by the enhance algorithm according to LHRI.
Robotic episodes learning for building cognitive experience map

This paper is about incremental online learning of robotic experience under uncertainty based on biology-inspired episodic memory. The episodic memory-driving Markov decision process (EM-MDP) with a novel episode model is proposed by imitating the firing patterns of hippocampal CA1 neurons, to simulate the organization process of episodic memory. Episodes learning method is presented by utilizing sparse distributed memory (SDM) for building experience map, and the uncertain information of system is considered. The experience map has the bionic cognitive abilities of self-organizing, self-learning and adaptivity based on episodic memory. Experimental results show that the approach has robustness to uncertainty and can realize memory real-time storage, incremental accumulation, integration and updating.
Simulation and character recognition for Plate Marking Machine

This paper focus on marking process simulation and product identification of Plate Marking Machine, which are the two basic process of product life trace. The system construction, working principle and marking process are introduced, and the virtual simulation can run step by step and be saved as bitmap file or stream file. A new Vector arithmetic is introduced in character recognition with standard recognizing library instead of special library which needs a lot of training process. In vector arithmetic new x-y axis are built with least-squares method which estimates the measurable step units. The simulation and character recognition give a better resolution of marking machine for BaoSteel especially in product life trace, which has good actual performance.
Application of Digital Elevation model in the planning of Badaling forest park

The paper compares the differences and advantages of Digital Elevation Model (DEM) with those of traditional topographic model. It introduces the technical key points of DEM establishment, such as technical route, grid data processing and vector data processing. Algorithm of automatically assigning DEM elevation is deeply studied in this paper. Using this algorithm can improve the efficiency of data processing. Then taking the general plan for Badaling forest park in Beijing as an example, it gives briefly description of the application of DEM to topographic analysis, domain of vision analysis, tree species selection and disposal as well.
The design Of VGA data communication based on FPGA

The method of controlling the VGA data communication using FPGA was introduced, emphatically in researches and designs of the VGA signal and FPGA important modules. It has analyzed the FIFO module, the VGA control module in the design, has given its top layer module design and the timing function simulation. This design uses the hardware description language Verilog programming, had the high accuracy sequential logic using FPGA to guarantee real-time data acquisition and the accuracy of the high speed transmission, simultaneously could display on the graphic display device correctly and stably.
Gaussian sum filtering based on uniformly Random Design with application to terrain navigation

In this paper, densities are approximated as finite mixture models as is done in the Gaussian sum filter (GSF). A novel GSF (UGSF) for filtering nonlinear non-Gaussian dynamic system is proposed which updates the means and covariances of the mixands using uniformly Random Design(URD) method. To keep the number of the mixands constant, a method of weighted Expectation Maximization (WEM) algorithm is used. The novel filter is results in 2-D terrain navigation, the simulation results also illustrates the performance outgoes GMSPPE and UKF.
A New Fast Image Encoding Algorithm for DSP

Because the SPIHT algorithm used too much memory and its encoding speed was slow on the DSP hardware system, an improved SPIHT algorithm was put forward. It adapted better to the feature of DSP, and it improved efficiency and speed. So, the run time was shortened and the requirement of real time compress was realized. To solve the problem of the SPIHT being sensitive to single bit error, the paper depicted an efficacious method for anti-code-error. Practical application proved that the algorithm resolved the problem of the small memory of DSP and improved the encoding speed. In addition, the anti-code-error ability was improved, It is an algorithm adapted well to DSP.
Co-simulation research and application for Active Distribution Network based on Ptolemy II and Simulink

Active Distribution Network (ADN) implements the operation and consumption of distributed energy resources (DERs), especially in the use of renewable ones, by hierarchical and distributed coordination control mode. Plenty of advanced communication and control technologies must be integrated in ADN. In this paper, a new method of co-simulation for ADN is proposed based on Ptolemy II and Simulink. In order to simulate the whole ADN, the simulation of cyber control system is implemented in Ptolemy II and the simulation of dynamics in ADN is implemented in Simulink. As the medium, MATLAB is used for data exchange between Ptolemy II and Simulink. For validation, the method is applied to simulation and analysis of a small ADN, i.e. a coordination control system of photovoltaic generation and battery energy storage. The results have proved that the method is feasible and valid.
A 3-D Encryption Technique Using Computer-Generated Hologram

The techniques of hologram for encryption and decryption have been widely researched and applied. Almost all the information of encryption is 2-D image. Parameters (wave length, recording distance, incidence angle, etc.) are regarded as the encoded keys for encryption and decryption. In the paper a novel way to encrypt 3-D information is proposed, which is based on technique of virtual optics. A new encoded key is introduced into security hologram, the size of 3-D object, which may play an important role for better protection against counterfeiting. Furthermore, a new image quality assessment is proposed to estimate the reconstruction 3-D object of CGH called modified PSNR (peak signal-to-noise ratio). Simulation experiments show that CGH is an effective encryption technique, and modified PSNR is a proper definite quantity analysis method for 3-D imaging.
Intra Prediction via Edge-Based Inpainting

We investigate the usage of edge-based inpainting as an intra prediction method in block-based image compression. The joint utilization of edge information and the well-known Laplace equation yields a simple and effective inpainting algorithm. As for intra prediction, the edge-based inpainting is a uniform solution, yet adaptive to local image features. During the integration of edge-based inpainting into a block-based coding scheme, edge extraction and coding are jointly considered to achieve the rate-distortion optimization. Our proposed schemes are compared with JPEG2000, and experimental results demonstrate that both PSNR gain and visible quality improvement are achieved.
Notice of RetractionAvailability model of maintenance interval within complicated equipment life-cycle

Targeting at the complex equipment guaranteed by three-level maintenance institution, on the assume that equipment is in as good as old condition after minor repair and not in as good as new condition after middle or overhaul repair, this paper presented a switching chart of equipment application and repair condition transformation in a lifecycle by analyzing equipment application and repair flowing procedure. It also established the connection model between maintenance interval period and availability in the lifecycle, and computed the average availability related to the fixed maintenance interval period and switch rule. As shown in a case study, the optimal maintenance interval period that can ensure the availability is maximal. This approach can be used for maintenance decision-making.
Exponential Stabilization via Event-triggered Control for Linear Discrete-time Delayed Systems

This paper studies the exponential stabilization issue for linear discrete-time delayed systems (L-DDS) by event- triggered control (ETC) . The ETC scheme is based on the state feedback control which is updated when an event is triggered via a triggering condition. Under the designed ETC, the closed-loop L-DDS is a discrete-time switched system with the switchings driven by events expressed by a condition of state. Criteria for achieving exponential stabilization by the ETC is derived. Thus the exponential stabilization is achieved for L-DDS by the designed ETC. The algorithm with some discussions on the non-triviality are given for the improvement of ETC. Finally, one example with numerical simulations is worked out for illustration.
Research on force composition of civil-military integration-based equipment support

The experiences of the foreign military powers have showed that, after the adaptation of the civil-military integration-based support configuration, the equipment support cost has been reduced and support efficiency has been improved while the military personnel have become fewer. The civil-military integration-based equipment support could provide our army a feasible way to the support of equipment, especially new kinds of complex equipment. In this study, we start by understanding the requirements of equipment support, and then analyze the source of civil-military integration-based equipment support forces. Furthermore, the force composition of equipment support is systematically studied in terms of the following four aspects: basis, principle, mode, and type. Finally, the use pattern and demand of support forces are constructed. This study provides a theoretical planning for force composition of our army's civil-military integration-based equipment support, which would provide references on the construction of civil-military integration-based support forces for our army.
The application of RBF network with ant colony algorithm in eddy current nondestructive detecting

In eddy current nondestructive detecting, ant colony algorithm is adopted to select the centers of RBF network. The traditional clustering algorithm of RBF can't cluster much better, so the training speed and structure are limited. In this paper, ant colony algorithm with better optimal capability is used for optimize RBF network. The simulation result shows that ant colony algorithm has much optimal network than OLS algorithm. And the training speed and network robust are improved. It can be used for eddy current nondestructive detecting.
A fast making vacuum circuit breaker research and its applications

The key to perform synthetic making test at full rated voltage for high voltage switches is the making device of current source, which should have the capability to withstand the static and transient voltage and can conduct short-circuit current without excessive erosion, moreover it ought to be hair-trigger and control accurately. A new kind of fast making switch is presented in this research, which based on parallel-connected triggered vacuum switch (TVS) and fast vacuum circuit breaker (FVCB) to form the basic optic-controlled unit, several basic units arrange in series can be increase the hold-off voltages. The chief aim of this research is to investigate the feature of FVCB to determine experimentally whether the provided FVCB was suitable for high voltage circuit breakers synthetic making test. In order to research and optimize the actuator of FVCB, lots of simulation and experiment have been carried out. As a result, the closing time of FVCB is less than 8 ms. The closing command of TVS and FVCB are sent synchronously, TVS acts in several microsecond and carries the high making current first. FVCB plays as the parallel protecting device. Once FVCB closed completely the making current will shift to this branch.
Near Optimal Control Based on the Tensor-Product Technique

This brief investigates the near optimal control problem and targets at the rigid body attitude dynamic system that are characterized by its typical nonlinearity. In order to apply the linear matrix inequality-based optimization, a second-order linear-parameter-varying model is specifically derived from the attitude system by means of the tensor-product transformation. Furthermore, an adaptive attitude tracking control law is designed to achieve both the offline optimization and online control simplification. The final control law is provided in a combined form. As a result, the dynamic response of the system mainly depends on the near optimal virtual controller and the stability can be further guaranteed by the adaptive tracking controller. Numerical simulations are conducted to verify the effectiveness of the proposed algorithms.
Study on the Fuzzy Control Strategy Based on Back-to-Back Micro Grid Connection

This paper proposes a method of microgrid paralleling with large grid based on back to back VSC. In double-loop control of back to back VSC, the outer loop control strategy is fuzzy control strategy , the outer loop control references can be established by using the ratio between frequency differences and active power transmission and the ratio of reactive power transmission between voltage differences, then control parameters can be regulated automatically. The results of PSCAD/EMTDC simulation show the effectiveness of the method and that fuzzy control can increase dynamic response and stability of grid paralleling.
A Decentralized Key Management Scheme in Overlay Multicast Network

The recent growth of the World Wide Web has sparked new research into using the Internet for novel types of group communication, like multiparty videoconferencing and real-time streaming. Multicast has the potential to be very useful, but it suffers from many problems like security. To achieve secure multicast communications, key management is one of the most critical problems. So far, a lot of multicast key management schemes have been proposed and most of them are centralized, which have the problem of "one point failure" and that the group controller is the bottleneck of the group. In order to solve these two problems, we propose a decentralized key management scheme (DKMS), using RSA key system as auxiliary keys. We analyze this scheme and find it has appropriate performance in security and scalability
Semi-dynamic cooperative cluster selection for downlink coordinated beamforming systems

Coordinated multi-point (CoMP) transmission can significantly improve the spectral efficiency of cellular networks. To reduce the training overhead and the complexity for implementing CoMP, an effective way is to divide base stations (BSs) into cooperative clusters. However, with disjointed clusters, the cluster-edge users suffer from inter-cluster interference. In this paper, a scheme is designed to select a set of BSs to serve each user with CoMP coordinated beamforming, where the clusters of different users may overlap. To reduce the signaling overhead, the average net throughput of the network is maximized considering the training overhead. The proposed scheme depends on large-scale channel gains and can be operated in a semi-dynamic manner. A low complexity algorithm is proposed to form the clusters, which achieves similar performance to the optimal solution with exhaustive searching. Simulation results show the proposed algorithm outperforms the existing CoMP joint transmission with dynamic clustering and the Non-CoMP system.
RSH: A Link-Addition Strategy for Capacity Enhancement in Scale-Free Networks

In this letter, we propose a link-addition strategy, called reduction structural hole (RSH), to enhance the network transport efficiency for scale-free networks. Instead of using global parameters of betweenness centrality and shortest path length that are commonly used in link-addition approaches, we turn to the theory of structural hole to design the new link-addition strategy. RSH applies the theory from social science to guide how to add links to the existing topology and uses network constraint index that requires only local information in link addition. Simulations under both the shortest path and efficient routing schemes verify the effectiveness of the proposed link-addition mechanism. We have found that RSH obtains increased traffic capacity compared with the existing improved efficiency (IE) link-addition strategy. In addition, the RSH strategy does not change the connectivity characteristic of the network.
On-line fall detection via a boosted cascade of hybrid features

In this paper, we present a cascaded learning approach for online fall detection in streaming videos. In the cascaded approach, we propose using hybrid features ranging from Haar-like features to motion boundary histogram (MBH) rather than involving only one single type of features as in traditional cascaded methods. The simple features are employed at earlier stages to rapidly filter out the majority of none fall video clips which are relatively easy to detect, while complex features are used incrementally at later stages to handle samples that are difficult to distinguish. Similarly, the classifier at each stage is trained from simple to complex based on the gradient boosted tree. We further conduct a fall dataset with 400+ hours indoor videos to provide enough samples for the training. Experimental results show that our proposed fall detector achieves significantly higher performance than state-of-the-art approaches in term of both accuracy and speed.
Outage Analysis of Dual-Hop Transmission with Buffer Aided Amplify-and-Forward Relay

A new packet-selection based transmission scheme is proposed on a dual-hop link with buffer aided amplify-and-forward relay, where the relay with a buffer can record the channel information of source-relay hop and store the received packets. In order to satisfy the constraint of equivalent end-to-end SNR, the relay may pick up a packet in the buffer to transmit, with consideration of the channel statuses of both the source-relay hop and the relay-destination hop. Therefore, by adjusting the packet transmission order in the relay, the outage probability can be decreased in the proposed transmission scheme. Both theoretical analyses and simulation results show that the proposed scheme outperforms traditional ones by a significant margin of 2-4 dB gain in terms of outage probability.
A multi-agent hybrid cognitive architecture with self-awareness for homecare robot

This paper presents a novel anthropomorphic multi-agent hybrid architecture with abilities of self-awareness and cognitive control for homecare robots. The paper presents the details of the robot memory (knowledge/data base), self-awareness model, learning method for weight updating, and the decision making algorithm. The developed architecture will facilitate a robot to adapt to an uncertain and dynamic home environment and improve its intelligence, reliability and flexibility for effectively performing homecare tasks.
Research on Tourism Environmental Carrying Capacity of ChongMing Island

The importance for studying the influences to the environment by tourism activities is noted by more and more people. The researching method changes from the original qualitative description to quantitative description. Taken Shanghai ChongMing Island as an example, the tourism environmental carrying capacity of this island is studied by combining with the its unique island characteristics. The factors which restrict the development of tourism in ChongMing Island are found out, which provides basis for the future tourism development activities in this island. Through large quantities of calculations, the factors which restrict the development of tourism industry in ChongMing Island within the regional scale are solid wastes, sightseeing carrying capacity of QianWei Village in golden weeks, hotel reception in peak season of tourism, and traffic outside the island. By referencing these restricting factors, more pertinence management scheme can be made for the environmental management of ChongMing Island in the future.
Research of intermittent energy consumption in active distribution network

Active distribution network (ADN) has great compatibility for the interconnected of distributed energy resources (DERs), especially renewable ones, with the help of active management and Coordination Control. This paper focuses on the quantified indexes of DERs interconnected to ADN and the Multi-layer Coordination Control to handle with the energy consumption of intermittent energy resources in ADN. Solutions on intermittent energy consumption under various operation scenarios of ADN with different DERs placement configurations are illustrated in details respectively. The demonstration application simulation of intermittent energy consumption in ADN in China sponsored by the National Hightech R&D Program is presented which validates the effectiveness of the proposed solutions for intermittent energy consumption in ADN.
An Improved Particle Swarm Algorithm for Search Optimization

To address the problem of space locus searching, a slowdown particle swarm optimization (SPSO) is proposed to improve the convergence performance of particle swarm from the position viewpoint. The particle swarm in SPSO is divided into many independent sub-swarms to guarantee that particles convergent to different position, since space locus has multiple optimal solutions and requires the convergence of both fitness and position of particle. Furthermore, particle velocity is updated by half according to fitness to achieve the position convergence. The simulation results show the advantage of the proposed slowdown particle swarm optimization-SPSO, which leads to an efficient position convergence.
Piezothermoelastic analysis of thin films deposited on elastomeric substrates

Bilayer systems have many important and emerging applications. In this paper, a bilayer system composed of a relatively stiff piezoelectric thin film bonded to an elastomeric thick substrate of a compliant material is studied. The couplings among elastic, electric and thermal fields are considered, when the bilayer system is subjected to a temperature variation, and the piezoelectric thin film is subjected to an electric potential difference between the top and bottom surfaces. An exact solution for stress distribution is derived, which takes account of the influence of the interface between the two components. Numerical results are presented and discussed.
Binary inheritance learning particle swarm optimisation and its application in thinned antenna array synthesis with the minimum sidelobe level

Although particle swarm optimisation (PSO) algorithm is an effective tool to solve the real-number optimisation problem, it cannot be directly adopted to the discrete optimisation. Many discrete PSO versions focused on the different discrete strategies on particle position and speed update equation, but these attempts decreased the performance of the PSO on discrete problems (compared with other intelligent optimisation algorithms). In this study, binary inheritance learning PSO (BILPSO) is proposed and is used to solve thinned antenna array synthesis problems, such as the pattern synthesis of 100-element symmetrical thinned linear array and 20 × 10 symmetrical thinned planar array. The optimisation results show the BILPSO is superior to other discrete PSO versions and other discrete intelligent optimisation algorithms.