nils-herrmann/clean_scirepeval huggingface dataset:
Cooperative blind receiving scheme for space-time coding systems

Multiple antenna schemes can improve link reliability and provide high spectral efficiency. Some space-time coding systems are capable of meeting these requirements by using multiple antenna strategies. However, in order to achieve largely improved performance they need precise channel information at the receiver, which is difficult to be guaranteed in some specific scenarios. In this paper, blind source separation (BSS) technique is exploited to detect the transmitted signals blindly, which needs not the channel estimation. By analyzing the essential structures of space-time systems, the specific model suitable to BSS is established. Meanwhile, the strategy can be used to the base station cooperation to achieve cooperative blind receiving scheme. The robustness against channel estimation error and flexibility of system design can be acquired by using the BSS based scheme. Simulation results demonstrate the validity of proposed approach and the issue about convergence of BSS based scheme is also discussed.
Bandwidth provisioning for multiple description coding based video distribution

The paper presents a formal study on the optimal layer bandwidth allocation for non-cumulative layered video or multiple description coding based broadcasting over broadband wireless networks. We first formulate the optimal bandwidth allocation problem with the objective of maximizing goodput, the total bandwidth delivered to all the receivers in a session. We show that this problem, in its most general form, is computationally intractable. We then propose three practically effective heuristic algorithms for wireless broadcast environments, namely, merge-based allocation (MBA), multi-granular allocation (MGA), and cumulative layering based allocation (CLA). Numerical results show that all three heuristic algorithms significantly outperform non-adaptive allocation algorithms.
Integration of Medical Information Systems Based on Virtual Database and Web Services

In the healthcare domain, there exists a large number of heterogeneous medical information systems on account of the complexity of the medical environment. To support easier information exchange between these systems, it becomes essential to integrate separated medical information and allow it to be exchanged and retrieved through Internet. In this paper, on data layer, via XML Schema mapping we build a virtual database for medical data sharing, which implements to update, insert and delete sharing medical data based on querying by XQuery; On application layer, we build web-based application integration, which allows medical information systems uniformly exchange information easily by Web Services.
A non-isolated bidirectional Buck-Boost converter with minimized reverse-recovery losses

A novel non-isolated bidirectional Buck-Boost converter (NI-BBBC) with a negative-coupled-inductor (NCI) is proposed. By utilizing the induced potential of introduced NCI to block the MOSFET body diode, the reverse-recovery issue of the MOSFET body diode is solved and a high efficiency achieved as a result. The control of the proposed NI-BBBC is as easy as a conventional unidirectional Buck or Boost converter and no extra soft start circuit required for the NI-BBBC. The proposed converter has advantages of high efficiency, simple control and high reliability. The topology derivation and the operation principle of proposed NI-BBBC is analyzed in detail with experimental results given to verify the analysis.
Coplanar waveguide method for identifying the surface wave band-gap range of mushroom-like electromagnetic band-gap structure

In this paper, coplanar waveguide (CPW) method is proposed for identifying the surface wave band-gap of mushroom-like EBG structure. Two lines are cut off from the complete ground plane of the EBG structure and the defected ground plane can be viewed as a coplanar waveguide with characteristic impedance of 50 Ohm. The other layer of the EBG structure is not changed. The surface wave band-gap range can be obtained from the transmission curve of CPW in two cases: EBG inserted and no EBG inserted. Furthermore, the electric field distribution within and beyond the stop-band are studied. And we also investigate the influence of EBG rows on the band-gap. The results extracted from CPW method agrees very weD with that of TEM waveguide model. Compared to the most used experimental method, suspended microstrip line method, the CPW method is a one-layer structure which leads to be low-cost, easy-made and more effective. Both simulated and experimental results verify the effectiveness of the CPW method. Therefore, the CPW method can be applied for identifying the surface wave band-gap of EBG structure much more effectively in engineering applications.
Exploration on bus differential protection intelligent transformation of 500 kV conventional substation

This paper takes the intelligent transformation of Zhejiang 500kV Lanting Substation for example, as the practical intelligent transformation experience of conventional substation is so little at present, the paper puts forward four different retrofit schemes after deeply discuss on the retrofit scheme of bus differential protection intelligent transformation in a conventional substation, and compares their advantages and disadvantages as well as applicability. First scheme is the retrofit scheme by the transitional the sub computer of the bus differential protection; Second scheme is the retrofit scheme by conventional CT and intelligent terminal direct access digital bus differential protection; Third scheme is the retrofit scheme by digitization of interval after unified access digital bus protection; Fourth scheme is the retrofit scheme by bus splitting intelligent. After the paper to substation operation reliability and the project of transforming operational as a higher priority, and to compare their advantages and disadvantages as well as applicability· Decide to take some kind of retrofit scheme, and carry out detailed analysis and research retrofit scheme taken. It has a certain practical value, and explores transformation model of similar projects and provides practical ideas for implementing intelligent transformation of 500 kV substations with security and reliability.
Minimax design of nonlinear-phase FIR filters with prescribed phase error using an SCLS method

Minimax design of nonlinear-phase FIR Alters with prescribed phase error is considered in this paper. By using a sequential constrained least-squares (SCLS) method, the minimax design is converted into a series of constrained least-squares problems, where the upper-bounds imposed on the frequency response (FR) error converge exponentially to the minimal value of the maximum FR error. Design examples demonstrate the effectiveness of the SCLS method. Comparisons of the performances of the filters designed by the SCLS and some other methods are provided.
Adaptive state observer for nonlinear MIMO systems with uncertain dynamics

This paper proposes an adaptive observer design for a class of nonlinear MIMO systems with unknown nonlinearities. Neural networks (NN) with online updating weights are utilized to estimate unknown dynamics, such that the precise system model, the Lipschitz or norm-bounded assumptions on the unknown nonlinearities are not required. By developing a novel gain design methods, some constraints used in the neural-based observer and sliding-mode observer designs, i.e., Strictly Positive Real (SPR) or matching conditions, are removed. Applicability of the presented method is verified by simulations.
Experimental Research on Impacts of Dimensionality on Clustering Algorithms

Experiments are carried out on datasets with different dimensions selected from UCI datasets by using two classical clustering algorithms. The results of the experiments indicate that when the dimensionality of the real dataset is less than or equal to 30, the clustering algorithms based on distance are effective. For high-dimensional datasets--dimensionality is greater than 30, the clustering algorithms are of weaknesses, even if we use dimension reduction methods, such as Principal Component Analysis (PCA).
Establishment of Quasi-2D Control Field for Computer Vision Measurement

Establishment of quasi-2D control field was a key step to founding CCD camera digital distortion model. The quasi-2D control field was set up in 3.52m×2.24m region. 345 control points, with photo paper as agent, and made up with two squares, and signed with black and white colours, were evenly distributed in the quasi-2D control field. The 3D-coordinates of control points in the quasi-2D control field were measured by single measurement model electronic theodolite industrial surveying system of "Building Blocks Type". The measurement accuracy of the result excels 0.15�A . The study result shows that foundation of CCD camera digital distortion model with quasi-2D control field is cheap, accurate and convenient.
A Multi-Fault Location Algorithm Based on Wide Area Information in Complex Large Power Grid

This paper presents a fitting degree-based multi-fault location algorithm for complex large power grid utilizing wide-area information. Firstly, fault injection current of the equivalent fault points is used in the equivalent model. Then the correlation matrix is formed by the network topology and associated nodal injection current and a network is formed to determine the location of faults. When multiple faults occur, the addition of the current of each two fault lines is calculated and the real-time current is measured. Then by calculating the minimum of fitting degree between two current values, fault line and virtual fault location can be determined. The simulation results of 10-generator 39-bus system verify the validity and feasibility of this algorithm.
Facilitating Business-Oriented Cloud Transformation Decision with Cloud Transformation Advisor

To move applications to the cloud is not only a technical decision but also a business-oriented decision, in which both business and technical factors (e.g. transformation effort, multi-tenancy and auto-scaling enablement, scalability and extensibility) should be considered. However, existing approaches and tools do not support a consumable business oriented cloud transformation decision to select more suitable transformation solution with the right cloud delivery model, services type, affordable transformation effort and etc. In this paper, we introduce a practical three-step approach and a tool, CTA (Cloud Transformation Advisor) to enable decision makers to identify the most suitable cloud transformation solution to satisfy their business goals based on a well-structured cloud transformation knowledge base.
Contrast pyramid based image fusion scheme for infrared image and visible image

In this research, a new fusion scheme based on improved regional energy contrast pyramid algorithm with respect to the human visual characteristics is presented, the infrared and visible data from HJ1-B satellite, ASTER were performed in the experiments. First of all, the source data are decomposed by contrast pyramid transform. Second, the regional energy, standard deviation and similarity were calculated, then the regional fusion operator was determined by threshold and standard deviation. Finally, the fused image was reconstructed by inverse contrast pyramid transform. Moreover, the improved regional energy contrast pyramid based, Laplacian Pyramid based, Gradient Pyramid based and Wavelet based image fusion algorithms were evaluated and compared by means of the fusion evaluation indexes, namely the entropy, root mean square error and PSNR. The experimental results showed that the image fusion algorithm proposed in this research is more effective.
GDSA: A Grid-Based Distributed Simulation Architecture

This paper focuses on architecture suitable for large-scale simulation system. Based on the scenario of large-scale Internet simulation, the grid technology is introduced and a new architecture, GDSA is proposed. GDSA, a full grid-based architecture mainly focuses on four pending problems in distributed system: scalability, communications, management mechanism and QoS insurance computing environment. The advantages of grid in scalability and uniform communication will be used to improve system's scalability and communication method. Management system will be built according to meta-service mechanism. Contractual computing mechanism (CCM), a special mechanism added in GDSA, will provide QoS insurance for users. Three-layer QoS model, which is the core of CCM, will take charge of QoS problems in different levels. At the end, a prototype is designed and the experiment results based on this platform show that GDSA is a promising system to overcome the pending problems in distributed simulation
Dynamic failure of double deck spherical reticulated shell with imperfections

The double deck spherical reticulated shell is the structure which is sensitive to imperfections. The initial imperfections influencing structural dynamic failure are initial curvature and residual stress of bar element and installation deviation of nodes. With the ANSYS secondary exploitation, the programs of bar element were written to consider the influences of initial curvature and residual stress. Based on these works, the influences of the three imperfections on dynamic failure of the spherical reticulated shell were got by IDA.
Design of controller system for industrial robot based on RTOS Xenomai

A well-designed controller has a decisive effect on the performance of an industrial robot. Apart from control stability, good generality and flexible extension of the controller are becoming more and more important. In this paper, a multi-tasking robot controller software system based on Xenomai real-time operating system is presented. To ensure its generality, the controller system is multitasking designed into Robot Control (RC), soft PLC, hardware driver, EtherCAT communication and management modules. The development for operation, synchronization, communication and cooperation among tasks and modules are given in detail, supporting a well working basic system.
Dual band sleeve dipole antenna for WLAN applications

A dual band sleeve dipole antenna for WLAN application is presented. The antenna covers both the WLAN bands. The proposed antenna exhibits excellent omni-directional characteristics and reflection properties S11 values which are less than -10db. The dipole is constructed from two concentric hallow cylinders having different radius and different lengths. The complicated balun network is avoided by feeding the antenna at the center with the help of coaxial cable. The scattering parameters and radiation patterns are simulated using CST microwave studio. These simulation results are validated by the measured results. The antenna is best suitable for airborne and outdoor applications.
Automatic calibration of multi-camera networks

Generally there are many cameras in wireless camera networks, and we need to calibrate the intrinsic parameters of each camera and the geometry of camera networks in 3D space so that the cameras in networks can cooperate orderly. But it is tedious and difficult work to calibrate so many cameras online. We developed an automatic calibration approach to calibrate the extrinsic parameters between different cameras. Our method only needs to track the motion of objects in each camera from image sequences without the correspondence between different cameras. It avoids the difficulty of the correspondence between different cameras in real networks. Experiments with simulated data and real images are carried out to verify the theoretical correctness and numerical robustness of our results.
Hydrodynamic analysis with an artificial lateral line of robotic fish

The biological characteristics and function of the lateral line system provoke researchers' interest, which gives rise to the development of artificial lateral line of the robotic fish. Exploring an effective closed-loop control method with artificial lateral line is an effective way to improve the propulsion performance of robotic fish. The paper presents an artificial lateral line using 5 high-precision pressure sensors. To verify the effectiveness of the system, a circulation channel is designed and fabricated, which provides continued and fixed speed flow. Using the hydrodynamic simulation and mathematical analysis, the relationship between the flow speed, flow direction and the signal features that extracted from the pressure sensors are explored in uniform flow and vortex flow respectively. The experiments are also conducted to verify the relation. The results of simulation and experiment indicate the effectiveness of the artificial lateral line. This paper may provide a new theoretical basis for the close-loop control research.
A New Credit Based Micropayment Scheme

As the development of online commercial transactions, the transactions that involve small amount of money are becoming popular. However, the existing micropayment systems are either not efficient enough for micropayment or too complicated and expensive for extensive application. A new credit based micropayment scheme is proposed in this paper. With only reasonable security performance, the efficiency of the scheme gets higher and the implementation is much cheaper, thus it is very suitable for extensive application. With reference to the mature credit card system, a credit mechanism was built in this scheme to achieve the better performance and lower cost. On the other hand, good practicability and strict anonymity are provided.
Energy consumption controlling in wireless sensor networks based on power optimality for the main node

The power supply of the nodes in the wireless sensor networks is limited. Because of energy exhaustion, the nodes are easy to get out of order, lose their ability to work and deviate from the network, making the topological structure of the whole networks change. So it needs to design a kind of mechanism which can save energy to maintain stability of the entire networks to the best. In this paper, our contribution is to propose a new mechanism, the power optimality is targeted for the main node. We adopt the genetic algorithms (GA) to optimize the main node. As well, we have analyzed the influence of the controlling frames and the state of receiving on the energy consumption here.
Internal Time and Phase Synchronization for Distributed Micro-Satellite SAR

Tight synchronization among micro-satellites is one of key technical requirement for distributed micro-satellite SAR (DMS). Currently, time and phase synchronization solutions are considered separately. This paper first discusses influence of SAR caused by time and phase skew, and dictates requirements of synchronization for DMS. Then an integrative solution of time and phase synchronization is proposed with phase lock loop (PLL) and two-way time transfer. Based on micro-satellite architecture, the solution chooses to design individual transceiver, and implements time synchronization of the onboard computer (OBC) instead of effective load radar transceiver, which will facilitate the implementation of global command and data handling (C&DH) system schedules for DMS. Its internal synchronization characteristic also guarantees autonomy and robust of synchronization of DMS
Application of gray correlation analysis in eutrophication evaluative of water bloom

The monitoring data for water quality of Beijing Beihai between May and October in 2007 have been analyzed with gray correlation. In order to overcome the defects of the traditional method, this way consider the interzone form of the water quality evaluation standard, use centralization dimensionless functions, and combine the integrated nutritional status index with const weight. The thread system can reflect multi factors and is easy to use. The results showed that the improved gray correlation analysis is an active tool in environmental assessment and administration.
A 50nm MHEMT millimeter-wave MMIC LNA with wideband noise and gain performance

A 50nm MHEMT millimeter-wave MMIC low noise amplifier with state-of-the-art performance is reported. The 3-stage LNA exhibits on-wafer noise figure (NF) as low as 1.6dB with 25dB gain at 80GHz, and also shows unprecedented wideband performance, with 20dB minimum gain across the 30-100GHz band and NF <;2.5dB over the 43-90GHz band. An LNA packaged in a WR-12 module has flange NF of 2.0dB over 74-80GHz and NF <;2.6dB with 27 ± 2dB gain across the full 60-90GHz waveguide band.
Cooling Coil Unit dynamic control of in HVAC system

In this paper, a dynamic Cooling Coil Unit (CCU) model is firstly developed by extending the CCU engineering model , and by combining the model with the mass and energy balance equations. Unlike other existing CCU models for dynamic control, this modeling method with only six model parameters is relatively simple and exactly captures the nonlinear characteristics over a wide operating range of CCU without requiring much calibration effort and geometric specification, which is very convenient in real time engineering control practice. Afterward, the nonlinear model of CCU is linearized using Jacobian matrix method and PID-action controller as linear control systems are developed on linear model to adjust the outlet air temperature and outlet chilled water temperature. Experiments on a centralized Heating, Ventilation and Air Conditioning (HVAC) pilot plant are conducted to show that the method is robust and gives an accurate match to real performance over the wide operating conditions.
Analyzing dynamic coupling effect resulted by space operations with recursive formulation

In order to reveal dynamic coupling effect in a space robot's operation, the paper raises a method of using recursive formulation to establish the system dynamic model and designing operational procedure in a parameterized way. In the paper, a topological representation of a space robot operating system is established containing dynamic constraints. The weighted factors method is used to get a simplified spanning tree of the system. Finally, dynamic model of space robot operating on the surface of the spacecraft is formulated and numerical simulation is carried out. The obtained results show that space robot and spacecraft are strongly coupled during the operation. Continuous control may intense the dynamic coupling effect, while strong dynamic coupling decreases the operating efficiency. It is illustrated in this paper that dynamic coupling analysis of complex space operational tasks can be conveniently implemented using this method.
A Fuzzy-Q Method to Improve the Adaptability of AUV in Variable Ocean Current Environment

It is very difficult to keep AUV following the planned routes during the AUV’s navigation under the strong ocean current. This article integrated Q-learning with fuzzy logic, which makes AUV can resist the influence of ocean current. A fuzzy behavior is defined to resist the ocean current by giving a extra angle towards its direction. And Q-learning is used to adjust the central point of fuzzy membership function of the resisting ocean current behavior. This behavior is complemented by two other behaviors, the moving-to-goal behavior and collision avoiding behavior. The recommendations of these three behaviors are integrated through adjustable weighting factors to generate the final motion command for the AUV. Simulation shows it improve the adaptability of AUV under different ocean current greatly.