nils-herrmann/clean_scirepeval huggingface dataset:
LFM signal parameter estimation based on Nuttall window Energy Barycenter Correction Method

LFM signal is widely used in the domain of radar, sonar and communication. Both reliability and real-time is important for parameter estimation. The Fractional Fourier Transform exists problem of large calculation and bad real-time performance. To solve the problem, we use the Energy Barycenter Correction Method based on Nuttall window, combining with the idea of descending dimension. This method accomplish the task of turning two-dimensional search into one-dimensional search and get accurate estimates of frequency modulation ratio. At last, we use the method of the Fractional Fourier Transform to estimate Initial Frequency. So the real-time performance can be ensured, and the estimation accuracy can be improved. The simulation results show the validity and accuracy of the method, and the method has certain engineering application value.
Based on the Reinforcement Learning Association Rules Recommendation Study

Reinforcement learning is an important method of machine learning. This paper using the graph theory to express varieties of knowledge points, which their’s relationship is expressed by the graph of topological graph. Applied the Technology of association rule Recommendation to deal with the relationship between these knowledge points, give the corresponding of the recommendation work flow chart. In the paper data tables used to store the knowledge points, the algorithm to demonstrate the technical of association rule Recommendation feasibility and rationality.
Preparation and Characterization of Medicated PAN/PVP Composite Fibers for Better Drug Release Profiles

Fine and continuous composite medicated PAN/PVP fibers were prepared using wet spinning processes. The co-dissolving method was employed to prepare the spinning solution. The prepared fiberts had a diameter of 145 plusmn 17 mum. SEM images showed that the libers had a uniform and homogeneous structure with some nano drug particles aggregated on the fiber surface. X-ray diffraction analysis result suggested that ibuprofen existed in the fibers in an amorphous status. FTIR analysis result demonstrated the polymers and the drug had fine compatibility. The drug content in the fibers was found to be a little lower than that in the spinning liquid, 10.2% of the drug was lost during the spinning processes. In vitro dissolution tests indicated that composite medicated fibers had better release profiles than PAN medicated fibers, 84.2% of the incorporated ibuprofen was linearly released out during a time periods of 15 days.
Research on the Impact of Service Innovation about Relational Embedded Configuration and Network Competence

This study conducts three types of relational embedded configuration based on the relational embedded ties between the focal firm and its partners—customer, supplier, competitor and research institution. The effects of configurations on service innovation are contingent on service innovation types. From internal perspective, the network competence of a firm can enhance the performance of service innovation. The study also deals with the effect of the interaction between network competence and relational embedded configurations on service innovation performance. We verify the proposed model based on 182 companies as effective samples in Jiangsu University of Science and Technology Park and high-tech development zone into the conduct of empirical research and analysis.
SNFS: Small Writes Optimization for Log-Structured File System Based-on Non-Volatile Main Memory

Emerging non-volatile main memories (NVMMs) technologies can provide both data persistence and high performance at memory level. The design of existing file systems for NVMM has to handle the data durability problem between CPU cache and NVMM. However, most NVMM-aware file systems could not meet the strong data consistency requirement of applications with data structures, e.g. B-Tree. Traditional techniques, such as copy-on-write and journaling, delivering data consistency, have defects of write amplification and data copy, respectively. In this paper, we explore SNFS, one log-structured file system with optimization of data consistency based-on non-volatile main memory, providing high performance for applications with small writes. Specifically, SNFS adopts a small data-log mechanism to journal fine-grained data writes. It also uses in-place writes to minimize memory footprint for small data updating and accelerates data block locating with hashing strategy. Finally, we evaluate SNFS's performance with several write-intensive workloads, and experimental results show that SNFS improves the system throughput by up to 23 times compared to state-of-the-art file systems and reduces the execution time by up to 65.5%.
An Improved Dynamic Load-Balancing Model

With the rapid development of big data and the national big data strategy is put forward, the Web server cluster facing more complex and severe challenges. The traditional load balancing algorithm has obvious limitations. This paper proposes a dynamic load-balancing model based on the SSAWF (Strong Suspend And Weak Forecast) mechanism. This model uses strong suspend mechanism and cubic exponential smoothing prediction method based on AHP algorithm for dynamic load balancing scheduling. Results of the experiments show that the improved model has more positive influence on performance of the cluster under abnormal system transient performance, high concurrency and high system load interaction, that's to say the load balancing effect is better than the traditional load balancing.
Damping Control of Piezo-Actuated Nanopositioning Stages With Recursive Delayed Position Feedback

This paper presents a new damping control scheme for piezo-actuated nanopositioning stages with recursive delayed position feedback (RDPF). The RDPF is proposed to attenuate the resonant mode of the nanopositioning stage in the inner feedback loop, which results in a neutral-type time-delay system. To realize the pole placement of this system, a new numerical integration method is proposed to determine the rightmost pole and select the parameters of the RDPF. Then, a high-gain proportional-integral (PI) controller is designed in the outer loop to minimize the tracking errors caused by the hysteresis nonlinearity and modeling uncertainties. To validate the effectiveness of the proposed approach, comparative experiments are conducted on a piezo-actuated nanopositioning stage. Experimental results demonstrate that the proposed approach improves the control bandwidth of the system from 32.5 Hz (with the PI controller) and 687 Hz (with the conventional delayed position feedback based controller) to 793 Hz.
Wet-Spinning Medicated PAN/PCL Fibers for Drug Sustained Release

Fine and continuous ibuprofen-loaded PAN/PCL fibers were successfully prepared using wet spinning processes. The co-dissolving method was employed to prepare the spinning solution. The prepared filaments had a diameter of 131 plusmn 24 mum. The drug content in the fibers was found to be a little lower than that in the spinning liquid, 10.7% of the drug was lost during the spinning processes. Polarized optical images showed that the drug molecular aggregated together from the spinning solutions to form fine particles on the fiber surface. In vitro dissolution tests indicated that the initial burst effect was clear. 21.64% of the total drug contained in the fibers was released during the test periods of 15 days. The medicated fibers had a potential usage for preparing transdermal drug delivery systems.
An Improved Quantum LDPC Codes Construction Based on Balanced Incomplete Block Designs

Taking advantages of the property of classical codes from balance incomplete block designs (BIBDs), an improved construction of quantum Low Density Parity Check (quantum LDPC) codes is proposed in this paper. In the construction, we modified the original "Construction B" procedures to assure the quantum parity check matrix commutativity. It is shown that this construction method is a systematic structured method, and it is easier to obtain quantum codes. By simulation, we find the quantum parity check matrix obtained by our method are sparser than those from the method proposed by Ivan, and the codes have more good performance with the belief propagation iterative decoding algorithms.
Transparent Junctionless Thin-Film Transistors With Tunable Operation Mode

Junctionless low-voltage transparent indium-zinc-oxide (IZO) thin-film transistors (TFTs) gated by SiO2-based solid electrolyte films are fabricated on glass substrates by a full room-temperature process. The attractive feature of such TFTs is that the channel and source/drain electrodes are the same ultrathin IZO film without any source/drain electrodes. The operation mode of such devices can be tuned from depletion mode to enhancement mode when the thickness of the IZO film is reduced from 30 to 10 nm. Devices operated in both modes show a small subthreshold swing of <; 120 mV/dec and a large current on/off ratio of >; 106.
Survey on Air Levitation Conveyors with Possible Scalability Properties

Re-configurability and scalability are important properties of smart non-contact conveyors. The paper studies smart conveyors. It concentrates on levitation methods, it makes a comprehensive survey on levitation technologies that are currently most active. A conclusion is made that air levitation is well suited to smart conveyors. Furthermore, an overview of the movement mechanisms on air levitation platforms is presented, the various advantages of these technologies are reviewed here and associated scalability properties are detailed. This provides a reference for selecting a reliable movement mechanism for future smart conveyors.
Agile turn autopilot design of over-the-shoulder launched air-to-air missile based on sliding mode control theory

Aiming at the agile turn of over-the-shoulder launched air-to-air missile based on aerodynamic/direct force, this paper establishes the mathematical model of attitude control, designs the agile turn attitude control law based on second-order sliding mode control in the pitching plane and uses Matlab software for simulation. Compared with the conventional sliding mode control law, results show that the agile turn control law designed in this paper can effectively undermine the system buffeting and reduce the direct force consumption.
Applications of virtual reality in turn-milling centre

Virtual reality (VR) is a high-end human computer interface that strives to immerse the designers and users completely in a virtual interactive environment for a simulation of real world. In order to meet the requirements of market competition, VR technologies can not only reduce effectively the time and cost, but also optimize complex products in the design process. PVAS (Products Virtual Analysis System) is developed in the paper. The system can realize three main functions. Firstly, products are displayed for the designers and users with stereo glasses. Secondly, products performance is analyzed and optimized in virtual environment. Thirdly, virtual machining and virtual assembly are realized. At present, the translation of data form CAD to virtual reality is often unidirectional and unsatisfactory. Since the limitation is the different data formats used for CAD and VR, two different approaches are proposed in the paper. Finally, the paper takes virtual reality applications in turn-milling centre an example. Using three-dimensional computer graphics, interactive devices, and stereo glasses, turn-milling centre machining simulation can be realized in a virtual world as if it were in the real world. Therefore the method that complex products based on VR are analyzed is significant and has application value.
Data Management for Automotive ECUs Based on Hybrid RAM-NVM Main Memory

More and more Electronic Control Units (ECUs) are applied into the automotive electrical and electronic systems. The system data and user data which ECUs need should be stored in Non-Volatile Memory (NVM) in order to avoid losing these data. However, NVM has the limitation on the numbers of writing so that the NVM is not suitable for the main memory . In this paper, we propose a vehicle data allocation (VDA) algorithm that can reduce the writing times of NVM (if NVM is used to be main memory) or save random access memory (RAM) space (if RAM is used to be main memory) in automotive electronic control systems. In our method, both RAM and NVM are used as main memory. The data from automobile is classified into three categories and the automobile running phase is also divided into three phases. Our algorithm targets to manage the different categories data in NVM and RAM in different phases through the characteristics of the data. Our proposed algorithm can reduce the writing times in NVM effectively. Comparing with using NVM as the main memory, our method will reduce several hundred thousand writing times in NVM. Based on results of the case study, our algorithm can reduce on average 25% RAM space in the start phase, and even reduce on average 62.5% in most runtime.
Link Budget of a Ka-Band HAP-Based Communication System under Different Climatic Conditions in Different Seasons

A high altitude platform (HAP)-based communication system operating in the Ka-band (28/31 GHz band) is proposed as the "last mile" solution for providing broadband services to users of remote western mountain area in China. The atmospheric attenuations due to rain, gaseous absorption, tropospheric scintillation, and cloud are calculated under different climatic conditions in different seasons. The subscriber ground station is put in Chengdu, Sichuan province. The propagation data and prediction methods recommended by the radiocommunication sector of international telecommunication union (ITU-R) are employed. The mean monthly profile of air pressure, temperature, and relative humidity, range from 0 to 20 km, is obtained by interpolation and extrapolation of the data announced by the ITU-R bureau. The link budget analysis shows that, for specified service requirements and designed system parameters, the link budget varies greatly under different climatic conditions and slightly for the same climate in different seasons. Rain attenuation has the most detrimental effect on link performance.
Research on the Problems of the "Labor Contractor" in Chinese Construction Industry

"Labor Contractor" as a non-enterprise legal person, it has experienced a long historical period. For development of the construction industry in China, "Labor Contractor" played its historical role, but also buried potential problems for the healthy development of the construction industry. In this paper, it proposed solutions to "contractors" in response by analyzing the advantages and disadvantages and historical evolution of the "Labor Contractor" and combining with the actual situation of the "Labor Contractor".
Suggesting Topic-Based Query Terms as You Type

Query term suggestion that interactively expands the queries is an indispensable technique to help users formulate high-quality queries and has attracted much attention in the community of web search. Existing methods usually suggest terms based on statistics in documents as well as query logs and external dictionaries, and they neglect the fact that the topic information is very crucial because it helps retrieve topically relevant documents. To give users gratification, we propose a novel term suggestion method: as the user types in queries letter by letter, we suggest the terms that are topically coherent with the query and could retrieve relevant documents instantly. For effectively suggesting highly relevant terms, we propose a generative model by incorporating the topical coherence of terms. The model learns the topics from the underlying documents based on Latent Dirichlet Allocation (LDA). For achieving the goal of instant query suggestion, we use a trie structure to index and access terms. We devise an efficient top-k algorithm to suggest terms as users type in queries. Experimental results show that our approach not only improves the effectiveness of term suggestion, but also achieves better efficiency and scalability.
Fast Video Shot Retrieval with Luminance Field Trace Indexing and Geometry Matching

Efficient indexing is a key in content-based video retrieval solutions. In this paper we represent video sequences as traces in an appropriate low dimensional space via luminance field scaling and PCA projection, and develop an efficient indexing scheme and trace geometry matching algorithms for fast and robust video retrieval. Simulation results demonstrate that the proposed solution is very fast and accurate in retrieval performance.
Video summarization for multiple path communication

For video communications over wireless ad hoc networks, multiple paths with limited bandwidth are common. It therefore presents new challenges to the video encoding. In this paper, we formulate the problem as a multiple path video summarization problem under bit rate constraints, where video summaries are generated to satisfy each channel's rate constraint, while the combined summary at the receiving end achieves the minimum summarization distortion. The optimal solution (within a convex hull approximation) is found by Lagrangian relaxation and dynamic programming. Simulation results demonstrate the effectiveness of the approach.
Bending behaviors of electroresponsive PVA/PAA SIPN hydrogels under electric field

Semi-Interpenetrating networks (SIPN) hydrogel composed of poly (acrylic acid) (PAA) and poly (vinyl alcohol) (PVA) was prepared by using Ammonium persulfate (APS) and sodium bisulfite as initiator and glutaraldehyde as crosslinking agent. The structure and microscopic morphology were characterized by Fourier transform infrared spectroscopy (FTIR) and scanning electron microscope (SEM), respectively. The results showed that PVA and PAA formed the interpenetrating network and there are lots of pores were evenly dispersed in hydrogel matrix. The electric stimuli responsive measurement results indicated the hydrogel bent toward the anode initially when it was placed in a high concentration NaCl aqueous solution. When the NaCl solution concentration is low, the hydrogel bent toward the cathode and kept invariant. The effects of different applied voltage and different AA contents on bending behaviors of hydrogel were also investigated.
Compact tri-band rat-race coupler based on novel metamaterial transmission line

A compact tri-band rat-race coupler is proposed in this paper by using a novel metamaterial (MTM) transmission line (TL). The novel MTM TL has two frequency points with - 90-degree shift and one frequency points with +90-degree shift in the passbands as well as the nonlinear dispersion. Taking advantage of these features, a compact tri-band rat-race coupler operating at 2.20 GHz, 3.38 GHz and 7.30 GHz is designed, fabricated and measured. The measured and simulated results are in good agreement, indicating good performances for in-phase operation and anti-phase operation at the three operating bands. Moreover, compared with the conventional rat-race coupler, this one not only realizes triple-band operation, but also realizes 64.6% area reduction.
Intelligent optimization method for large-scale steady-state systems with fuzzy parameters

A description of large-scale steady-state systems with fuzzy parameters (LSSFP) is given, and a novel intelligent optimization method (IOMFP) for LSSFP and several theorems about noninferior solution and the convergence of IOMFP are proposed. The effectiveness of IOMFP is illustrated by simulation results for some typical problems. The simulation results show that by using IOMFP the amount of calculation is sharply reduced and human heuristic knowledge is sufficiently applied. Owing to the introduction of an intelligent inference and decision machine in the search process, the applicability of the algorithm is greatly improved.<<ETX>>
Multi-project scheduling problem with human resources based on dynamic programming and staff time coefficient

The effect of personnel qualified degree to tasks has an important role for solving multi-project human resource constrained scheduling problem. This paper conducts research on multi-mode multi-project human resource constrained scheduling problem based on dynamic programming method. First, this paper put forward the concept and estimated formula of the staff time coefficient from the perspective of how to match staff and task based on the improved cube model and establish the mixed integer programming model. There are some constrains which should be considered in the model, such as the task workload that should be completed, limited supplies, and others. And the target of the model is completing the project in the shortest period and with the lowest total cost under all of these constrained. Then use the enumeration method to give the problem feasible solution that satisfied the constraints and find the optimal solution based on the dynamic programming method. Finally demonstrate the feasibility and effectiveness of the model and algorithm using the example analysis method, the results show that this method can effectively shorten the total duration of the multi-project Compared to the initial schedule, and is helpful for decision-makers to solve the multi-mode human resource scheduling problem in enterprise.
Robust tracking of nanopositioning stages using sliding mode control with a PID sliding surface

This paper presents a novel sliding mode control scheme for robust tracking control of a nanopositioning stage composed of piezoceramic stack actuators (PSAs) and compliant flexure mechanisms. The developed controller is distinguished by using a proportional-integral-derivative (PID) type sliding surface rather than the traditional proportionalderivative (PD) type sliding surface, which is more effective to reduce the tracking error. The stability of the developed control law is proved by Lyapnuov analysis. Finally, comparative studies are performed on a custom-built PSA-actuated stage to demonstrate the effectiveness of the developed controller. The major advantages of the developed control scheme lie in that: i) both the nominal system model and hysteresis model are not required in the control law; ii) it is ease of real-time implementation just like the PID control but with the improved tracking performance.
Transport properties in silicon nanowire transistors with atomically flat interfaces

We have fabricated ultra-narrow (sub-10 nm) short channel (100 nm) silicon (Si) nanowire transistors with atomically flat interfaces based on Si-on-Insulator (SOI) substrates. The raised source and drain electrodes were patterned together with the gate electrode. The smaller threshold voltage in the narrower nanowire suggests self-limiting oxidation during the gate oxide formation.
Improvement of analytic hierarchy process on the comparison judgement matrix

Analytic hierarchy process is very extensive in decision-making of many objects. But the comparison judgement matrix is constructed, it takes to have the dense subjectivity. In this paper, the mathematical model about comparing comprehensive strength of the publishing company is studied and Analytic hierarchy process is improved properly. First a reasonable evaluation system is constituted, the comparison judgement matrix of the proposal layer is made of the index value of the evaluation system constituted, so that the result of the model is less influenced by subjective factors and the comparison judgement matrix consistency is also guaranteed. The improved Analytic hierarchy process is more objective, more logical and more compact.