nils-herrmann/clean_scirepeval huggingface dataset:
A solution for supporting QoS in Web server cluster

Web server cluster has been widely used to increase the performance of Web server. Moreover, as the Web has become an important business service delivery infrastructure, the need for supporting quality of service (QoS) in Web service has become more strident recently. In this paper, we propose a solution for supporting QoS in Web server cluster called QWSC, and implement a prototype of QWSC. Our objective is to provide better services to high priority request classes without over-sacrificing low priority request classes. To achieve this objective, we equip Web server cluster with admission control, service differentiation, performance isolation, and content adaptation mechanisms. QWSC periodically repartitions servers so as to adapt to varying request resource demands. Realistic experiments show that QWSC satisfies the service level agreement targets for high priority request classes. In addition, the percentage of dropped requests for QWSC is very low, which mainly benefits from the content adaptation mechanism.
Characteristics of inferior variation of water environment and reasons in Jinghui Irrigation District

By analyzing characteristics of inferior variation of water environment since 1980s, point out the severity of inferior variation in Jinghuiqu Irrigation District, especially for groundwater environment. and meantime possible reasons for inferior variation of water environment are discussed from nature and anthropogenic factors. The results indicate that reduction of surface water irrigation quantity destoried water balance, large quantity aquifer has been drained, which is the most direct reason for the deterioration of water environment. In addition decrease in precipitation, increase in evaporation and variation in geological condition also play roles to some extent. At last author considers that only through reasonable groundwater artificial recharge, can water environment be improved, and all of these not only mend local water environment, but also contribute to sustainable utilization of water resource, and ultimately guarantee eco-environment and cereals safety of irrigation district.
Cycle-by-cycle average input current sensing method for LLC resonant topologies

Average input current is an important control parameter for many power supply control techniques, but it is difficult to obtain in LLC resonant topologies due to the irregular current waveform and the existence of circulation current. Conventional current sensing methods have low bandwidth and are inaccurate. This paper proposes a cycle-by-cycle average input current sensing method. It utilizes the series resonant capacitor to derive the average input current, thus is lossless, accurate, and low-cost. The proposed method can be extended to other topologies that include a series capacitor. Thus it is potentially advantageous in vast applications.
Design of nonuniform near allpass complementary FIR filters via a semi-infinite programming technique

In this correspondence, we consider the problem of designing a set of nonuniform near allpass complementary finite impulse response (FIR) filters. This problem can be formulated as a quadratic semi-infinite programming problem, where the objective is to minimize the sum of the ripple energy for the individual filters, subject to the passband and stopband specifications as well as to the allpass complementary specification. The dual parameterization method is used for solving the linear quadratic semi-infinite programming problem.
Analysis of electrostatic crosstalk in 3D vertical NAND Charge Trapping Memory with junctionless GAA nanowire FET

The electrostatic crosstalk in the 3D vertical CTM (Charge Trapping Memory) NAND NVM is investigated with various typical operation conditions. The junctionless FET of GAA (Gate-All-Around) nanowire with O/N/O (Oxide/Nitride/Oxide) dielectrics is simulated as the storage cell. The electrostatic properties of two neighbor cells of a NAND string are evaluated under typical conditions corresponding to the program operation. The results are help to design and optimize the new structures of 3D CTM NAND Flash.
A Passive Current Sharing Method With Common Inductor Multiphase LLC Resonant Converter

In this paper, a new common inductor current sharing method is proposed for a multiphase LLC resonant converter for high-power applications. Automatic current sharing is achieved by using a common resonant inductor connecting the resonant inductors in each LLC phase in parallel. The current sharing performance of the proposed method is evaluated under first harmonic approximation (FHA) assumption. The proposed method can automatically share the primary resonant current and the load current for all phases without any additional circuit and control strategy. A 600-W two-phase LLC converter prototype based on the proposed method is built to verify the feasibility. Excellent current sharing performance (less than 0.5% current sharing error at full load) has been achieved.
Brain Functional Networks Involved in Finger Movement

This study used the complex network analysis to examine the brain functional network involved in finger movements. We found that (a) long-range connections decreased exponentially as distance between nodes increased, whereas short-range connections increased linearly with distance; (b) the distribution of functional connections was scale-free; (c) the typical path lengths were relatively short and comparable to those calculated for equivalent random networks, but the clustering coefficients were several orders of magnitude larger than those of equivalent random networks; and (d) central nodes were located in brain regions identified in previous cognitive neuroscience studies. These results suggest that the method of complex network analysis can be an important tool in future research in cognitive neuroscience. Keywordsfunctional connection; finger moving; small world; scale free; complex network
Accelerating Active Learning with Transfer Learning

Active learning, transfer learning, and related techniques are unified by a core theme: efficient and effective use of available data. Active learning offers scalable solutions for building effective supervised learning models while minimizing annotation effort. Transfer learning utilizes existing labeled data from one task to help learning related tasks for which limited labeled data are available. There has been limited research, however, on how to combine these two techniques. In this paper, we present a simple and principled transfer active learning framework that leverages pre-existing labeled data from related tasks to improve the performance of an active learner. We derive an intuitive bound on generalization error for the classifiers learned by this algorithm that provides insight into the algorithm's behavior and the problem in general. Experimental results using several well-known transfer learning data sets confirm our theoretical analysis and demonstrate the effectiveness of our approach.
A parallel low latency bus on chip for packet processing MPSoC

In this paper an bus architecture combining crossbar switching with split transaction feature is presented for multiprocessor system on chip (MPSoC) in the packet processing application. The high throughput is achieved with crossbar bus topology and low bus latency is finished by split transaction buses which separate address bus from data one. Experimental results show that performance of the proposed architecture is improved up to 2.3 times than the one of the AHB buses and reduce communication latency about 45% than the later. Moreover, the bus arbiter implementation has reasonable area and timing cost which make it suitable for high performance IP-packet or base-band processing.
A highly efficient and identity-based proxy signature scheme without random oracle

Recently, Au et al. proposed a hierarchical identity-based signature scheme and Hu-Huang proposed a proxy key generation protocol. Based on the both schemes, we present a novel identity-based proxy signature scheme. The proposed scheme is provablly secure in the standard model and its security can be reduced to the hardness assumption of the g-strong Diffie-Hellman problem. Compared with all existing identity-based proxy signature schemes secure in the standard model, the proposed scheme has the following two advantages: shorter signature length and less computational cost. So, the proposed scheme is very suitable for application in some low resource situations.
A Zero-Crossing Noise Filter for Driving Synchronous Rectifiers of LLC Resonant Converter

A new driving method for synchronous rectifier (SR) in LLC resonant converter is presented. By adding a zero-crossing noise filter (ZCNF) to the drain and source of the SR FET, the false-triggering of the SR can be effectively eliminated. Moreover, the resistor and the capacitor in the filter can be used as a compensator to solve the duty-cycle loss issue caused by the trace inductance of the MOSFET package. Only three passive components are needed in the proposed filter, which makes it reliable and easy to implement. Simulation and experimental results show that the ZCNF can significantly improve the reliability as well as the efficiency of the power circuit. A prototype of 400 V to 12 V 600-W half-bridge LLC resonant converter is built to verify the advantages of the ZCNF. An efficiency improvement of 0.8% is achieved by the ZCNF.
Autonomous ocean turbulence measurements on a moored instrument in the South China Sea

A moored and autonomous test has been taken in the South China Sea(SCS) with a turbulence measurement instrument that measures small-scale shear velocity using shear probes designed by OUC(Ocean University of China). The MTMI (Moored Turbulence Measuring Instrument) is embedded in a raindrop shape floating body, which is made of buoyancy material of glass microsphere. A accelerate senor is used for vibration measurement and removing the vibration noise. The data which contain velocity signals, vibration noise and attitude signals are sampled for 110 days. The pitch angle varies between -10°and +10°and does not changes in response to variations of current speed, showing that the instrument is stable. The measured velocity spectra are severely contaminated by eddyshedding from the mooring cable. With the consideration that y axes might not be rigidly perpendicular to the sensitivity beam of the shear probe, we develop double probe correction with two acceleration signals: y and z to eliminate the noise. As a result, the dissipation rates reduce two orders of the magnitude, being consistent with the scaling estimated from the SCS. The turbulent kinetic energy of dissipation rates calculated with data measured by MTMI are from 10-9 to 10-4 W/kg.
A parallel algorithm of optimal power flow on Hadoop platform

Application of smart grid leads to significant increase in scale and data of the power systems, bringing new challenges to the calculation of optimal power flow. However, the existing parallel algorithms, such as MPI-based solutions, suffer from high computational complexity. In this paper, we propose a parallel algorithm of optimal power flow based on Map-Reduce framework. More concretely, the node reordering in our algorithm can greatly accelerate solution speed of the linear equations meanwhile fit well with Map-Reduce programming specifications. Moreover, we determine the appropriate formats for input, intermediate and output data sets and partition the algorithm into separate map/reduce tasks. This facilitates our algorithm to be executed in parallel on a large number of computing nodes. The proposed algorithm is verified on a Hadoop cluster. The experimental results demonstrate that the effectiveness of the propose algorithm.
A Digital Two-Switching-Cycle Compensation Algorithm for Input-Voltage Transients in DC–DC Converters

In this paper, a new control algorithm is proposed to achieve excellent dynamic performance for DC-DC converters undergoing an input-voltage change. Using the concept of capacitor charge balance, the proposed algorithm predicts the two-switching-cycle duty ratio series to drive the converter back to steady state following an input-voltage transient. The equations needed to calculate the required duty cycle series are presented. By using the proposed algorithm, good transient performance, such as small output-voltage overshoot/undershoot and short recovery time, is achieved. Simulations and experiments are performed using a synchronous buck converter to verify the effectiveness of the proposed algorithm. Results show that the proposed method produces superior dynamic performance over that of a conventional current-mode PID controller.
Analysis of thermal interface resistivity of a helix TWT slow-wave structure

The thermal interface resistivity (TIR) of the helix slow-wave structure (SWS) is studied theoretically and experimentally. The effects of the TIRs at different interfaces on heat dissipation capability of the SWS have been analyzed and compared using ANSYS. The TIRs at the helix-rod interface and the rod-barrel interface have been calculated respectively with the developed equations and the measured component temperatures, considering the temperature- -dependent material properties. The effects of the rod material and the assembly method on the TIRs of the SWS were analyzed and compared.
Design for robustness counter detection CNN with applications

This paper presents a theorem for designing the robustness template parameters of a cellular neural network (CNN) to detect contours in images. The theorem provides parameter inequalities for determining parameter intervals to implement corresponding tasks. As two first examples, the contour detection (CD) CNN has successfully detected contours in a grey pattern image and the Lena portrait. As the third example, the CD CNN has been used to analyze the characteristics of ultrasound B-scan images of six patients' livers. Using polynomials of order 10 approximates the data of the ultrasound B-scan images processed by the CD CNN. Primary analysis seems to display some relationships between the polynomial coefficients and the damage in the patients' livers
Command filtered adaptive control for integrated missile guidance and autopilot with terminal angular constraint

For homing missiles considering terminal angular constraint, integrated design of guidance and control utilizing adaptive command filtered backstepping is studied in this paper. The proposed control scheme guarantees not only the stability of the missile dynamics with state constraints but also the interception performance with a desired terminal attitude angle. An adaptive law is introduced to compensate unknown uncertainties in the varying-time system. Simulation results are further presented to show the effectiveness and performance of the proposed approach.
Design of TVP5150 controller based on FPGA

In this paper, a design of TVP5150 controller based on FPGA (Field Programmable Gate Array) is proposed. This design uses the series of VIRTEX-4 XC4VSX25 chip to control the video decoder TVP5150. FPGA initialized video decoder TVP5150 via IIC bus standard. In order to decode the video data, the input channel, working state and the output data format of TVP5150 should be configured. In this paper, it describes the method of initializing TVP5150 through FPGA based on IIC bus. And then, introduce the format of ITU-R BT.656 of the output video data and the way of extracting the available data from ITU-R BT.656.
A Torque Control Scheme of Induction Motor in Hybrid Electric Vehicle

A torque tracking problem of the induction motor for hybrid electric vehicle (HEV) applications is addressed. Because motor parameter variations in HEV applications are larger than in industrial drive systems, the conventional field oriented control (FOC) provides poor performance. Therefore, a new robust PI-based extension of the FOC controller and a flux observer based on sliding mode and Lyapunov theory are developed in order to improve the overall performance. Simulation results show that the proposed torque control scheme is robust with respect to motor parameter variations and loading disturbances. In addition, the operating flux of the motor is chosen optimally to minimize the consumption of electric energy, which results in a significant reduction in energy losses shown by simulations
Adaptive power regulation and data delivery for multi-module implants

Emerging applications for implantable devices are requiring multi-unit systems with intrabody transmission of power and data through wireline interfaces. This paper proposes a novel method for power delivery within such a configuration that makes use of closed loop dynamic regulation. This is implemented for an implantable application requiring a single master and multiple identical slave devices utilising a parallel-connected 4-wire interface. The power regulation is achieved within the master unit through closed loop monitoring of the current consumption to the wired link. Simultaneous power transfer and full-duplex data communication is achieved by superimposing the power carrier and downlink data over two wires and uplink data over a second pair of wires. Measured results using a fully isolated (AC coupled) 4-wire lead, demonstrate this implementation can transmit up to 120 mW of power at 6 V (at the slave device, after eliminating any losses). The master device has a maximum efficiency of 80 % including a dominant dynamic power loss. A 6 V constant supply at the slave device is recovered 1.5 ms after a step of 22 mA.
A Credibility Approach to Multi-Period Fuzzy Production and Sourcing Problem

In this paper, we consider a multi-period fuzzy production and sourcing problem that a manufacturer has a number of plants and subcontractors. Each source has a different production cost and capacity. The manufacturer has to meet the products demand according to the service level requirements set by its customers. Based on credibility theory, a new class of minimum risk production planning model is first proposed. Then we deal with the approximation of the fuzzy production planning problem with credibility service level constraints with minimum risk criteria. After that, a hybrid algorithm, which integrates approximation approach and particle swarm optimization algorithm, is designed to solve the proposed production planning problem, and a numerical example is provided to test the effectiveness of the hybrid algorithm.
An Improved PWM Strategy for Z-Source Inverter With Maximum Boost Capability and Minimum Switching Frequency

Z-source inverter provides a competitive single-stage dc–ac power conversion with the capability of both buck and boost voltage regulation. In order to maximize voltage gain and to increase efficiency, this paper proposes an improved pulse-width modulation (PWM) strategy. By adjusting the shoot-through duty ratio of one-phase leg, it regulates the average value of intermediate dc-link voltage, which is the same as the instantaneous maximum of three-phase line voltage in one switching time period <inline-formula><tex-math notation="LaTeX">$(T_{s})$</tex-math> </inline-formula>. And the other two-phase legs maintain the fixed switching states. Thus, the equivalent switching frequency of power devices in the inverter bridge is reduced to <inline-formula><tex-math notation="LaTeX">$1/ 3f_{s}$ </tex-math></inline-formula> (<inline-formula><tex-math notation="LaTeX">$f_{s}$</tex-math></inline-formula> is the frequency corresponding to <inline-formula><tex-math notation="LaTeX">$T_{s}$</tex-math></inline-formula>). The operating principles and closed-loop controller design are analyzed and verified by simulation and experiments. Compared with the existing PWM strategies, the improved PWM (IPWM) strategy demonstrates higher efficiency under full operation range of low voltage gain (1.27-2) application. However, with the IPWM strategy, the inductor current and capacitor voltage contain six-time-line-frequency ripples, which consequently require large size of the passive components when the output frequency is very low. Thus, it is also suitable for 400–800-Hz medium frequency aircraft and vessel power supply system due to a relatively high output line frequency. Furthermore, the idea of IPWM strategy can be extended to other kinds of three-phase impedance network-based inverters.
A Novel Extreme Learning Control Framework of Unmanned Surface Vehicles

In this paper, an extreme learning control (ELC) framework using the single-hidden-layer feedforward network (SLFN) with random hidden nodes for tracking an unmanned surface vehicle suffering from unknown dynamics and external disturbances is proposed. By combining tracking errors with derivatives, an error surface and transformed states are defined to encapsulate unknown dynamics and disturbances into a lumped vector field of transformed states. The lumped nonlinearity is further identified accurately by an extreme-learning-machine-based SLFN approximator which does not require a priori system knowledge nor tuning input weights. Only output weights of the SLFN need to be updated by adaptive projection-based laws derived from the Lyapunov approach. Moreover, an error compensator is incorporated to suppress approximation residuals, and thereby contributing to the robustness and global asymptotic stability of the closed-loop ELC system. Simulation studies and comprehensive comparisons demonstrate that the ELC framework achieves high accuracy in both tracking and approximation.
Comparison of the inhalable particles transportation in the kitchen in different seasons

In this paper, the distribution and motion of the particles in a residential kitchen was simulated numerically using mixture model of two-phase flow. By analyzing the air flow field and the concentration of the particles, it was found that the distribution of particle concentration in kitchen environment was influenced by the temperature and the velocity of airflow. In view of these two points, the distribution particles of the different diameter and different season (summer and winter) in a kitchen was investigated detailed, the conclusions can improve particle removal efficiency in the kitchen, and are very useful to design reasonable ventilation method.
DataSocket Technology and Its Application in Remote Data Transmission Measurement

Datasocket technology is a kind of way for remote data transmission, it consists of Datasocket server, Datasocket server manager and its function library. The remote data Transmission measurement system with Datasocket technique includes data collection, instrument control, data process and network server. This paper presents the principle about it, and gives out an example for remote data transmission. The result shows that it works well about data exchange in remote worksite.
A Nonisolated ZVS Self-Driven Current Tripler Topology for Low-Voltage and High-Current Applications

A new nonisolated zero-voltage-switching (ZVS) current tripler topology is proposed in this paper. It is suitable to nonisolated low input voltage applications, especially 12 V input voltage regulator modules (VRMs). At the same time, due to high gate drive voltage using the input voltage, the conduction losses of the SRs can be reduced. The self-driven scheme can also achieve the reduced body diode conduction and gate energy recovery of the SRs so that no external drive IC with the dead time control is needed. More importantly, the existing multiphase buck controllers and buck drivers can be directly used in the proposed topology. Other benefits of the isolated current tripler are also maintained. The nonisolated self-driven current quadrupler and N -phase rectifier are also proposed. A 12-V input, 1.0-V/50-A output, 1-MHz prototype was built to verify the advantages of the proposed topology.