nils-herrmann/clean_scirepeval huggingface dataset:
Distributed Key Management in Ad Hoc NETwork Based on Mobile Agent

Key management is important to security of mobile ad hoc network (MANET). Based on the (t, n) threshold cryptography, this paper introduced mobile agent to exchange private key and network topological information with nodes in the network. This method cannot only reduce the network overload, but also improve the service velocity and success ratio of authentication. Any t nodes in the network sized n can cooperate to perform an authentication upon a new node wanting to join the network. Carrying private key and some state variables such as survival time, mobile agent navigated in the network according to visits-balance policy, namely, node with the least visits would be first visited by mobile agent. Experimental results show that the mobile agent performs very well for improving the success ratio of authentication.
OPCDM-LFM waveforms design for Formation-Flying Satellite radar system

Formation-Flying Satellite radar system can fundamentally improve radar imaging performance by using a group of specially designed orthogonal waveforms. Based on studying the performance of LFM signal and phase coded signal, we modulate the same LFM signal using different phase coded signals, and generate the orthogonal phase code division multiplex linear frequency modulation (OPCDM-LFM) compound waveforms. The genetic algorithm is introduced to numerically optimize the compound waveforms. The simulation results show that the synthetic performance of the proposed waveforms in range resolution, orthogonal performance, Doppler tolerance and the utilization ratio of bandwidth is very well.
Quenching Characteristics of Different Types of Superconducting Fault Current Limiting Modules

Quenching characteristic is one of the most important characteristics of superconducting fault current limiters (SFCLs). Recently, the designs of SFCLs have been developing rapidly. Because of the influences of electrical inductance and heat dissipation, different types of SFCL could behave quite differently during quenching process. In this paper, the quenching characteristics of several different individual SFCL modules have been investigated. Special attention has been paid to the limited current and structural features between them. The elementary types of YBCO thin-film wires are solenoid and pancake. Different types of superconducting fault current limiting modules were connected in series to evaluate their advantages and disadvantages. Results in this paper could be helpful to optimize the designs of SFCLs in space utilization and energy efficiency.
An interference avoidance scheme for orthogonally multiplexed cognitive radio systems

An interference avoidance scheme is proposed for orthogonally multiplexed cognitive radio (CR) systems. The CR systems are based on filter bank modulation (FBM) with special filter bank structures, i.e., some of the filter bank tree leafs are virtual or not modulated by the transmitted data. This kind of structure is capable of creating holes in the transmitted signal spectrum which can be used to avoid interference. By changing the tree structure of the filter banks such as the tree depth, the number of the virtual leafs, and the location of the virtual leafs, the number and the location of the spectral holes are also variable. In the simulation tests, primary users are modeled as partial band interference (PBI) located in individual spectral bands. It is shown that the proposed scheme is capable of avoiding various kind of PBI.
A Chu spaces semantics of control flow in BPEL

We present a Chu spaces semantics of typical control flow of BPEL including fault handling and link semantics. BPELcf is proposed as a simplification of this subset of BPEL. For the compositional modeling of BPEL, we present a Chu spaces process algebra consisting of seven operators. These operators allow faults to be thrown at any point of execution and take link-based synchronization into consideration. We present the abstract syntax of BPELcf , the semantic algebra, and the valuation functions for computing the Chu spaces denotation of BPELcf programs. The valuation functions are straightforward because of the power of the Chu spaces process algebra.
Does Public Service Motivation really make a difference on the job satisfaction and turnover intention of U.S. Federal Senior Professional Employees?

U.S. Federal Senior Level & Scientific or Professional Employees (SL/ST) play crucial roles in the operation of federal government, thus it is necessary to study this group of employees and the corresponding managerial system in order to promote their work performance and creativity. This study seeks to find out the effects of Public Service Motivation (PSM) on SL/ST's job satisfaction and turnover intention. In particular, the direct and indirect effects of PSM on their Turnover Intention and Job Satisfaction are hypothesized and tested by the mediation of Perceived Organizational Support (POS). Using the data from 2008 Federal Human Capital Survey, this study proves that PSM may have no significant relationship to the Job Satisfaction when POS is considered and PSM has direct effects on Turnover Intention. Implications and limitations of this study are also discussed in the paper.
Image Quality Evaluation Based on No-reference Method with Visual Component Detection

In this paper, we present a new image quality assessment that does not rely on reference images. Our model is to estimate human quality assessment by detecting visual components, then assessing quality by empirical model. We describe an instance of this model with visual component detection, and quality modeling is estimated using radial basis function (RBF) networks. Experiments with this prototype system show better results for human visual system(HVS).
Magnetic Field Decay of the HTS Persistent-Current Mode Coil in Alternating Magnetic Field at 77 K

The superconducting linear synchronous motor is one of the main applications of the high-temperature superconducting (HTS) magnet made out of coated conductors. The high operation current density and temperature of HTS magnet can lower the requirement of the cryocooler system. Moreover, if the superconducting rotor magnet is designed to work in persistent-current mode, the heat load of the magnet system can be further reduced because there is no joule heat and heat leakage on the current leads. However, in real working conditions, the rotor magnet is exposed to an alternating magnetic field (AMF) caused by the vibration and harmonic magnetic field from the stator magnet. This AMF may accelerate the decay process of the magnetic field in rotor magnet. In this paper, the magnetic field decay property of the HTS coil in AMF is experimentally discussed. In order to eliminate the impact caused by the joint resistance, a kind of joint-less stack coil that can operate in real persistent-current mode is fabricated and tested in an AMF generated by an electromagnet. The tests were conducted with different AMF amplitudes and frequencies, as well as different initial magnetic field in HTS coil.
Compact triple-band bandpass filters using rectangular waveguide resonators

This paper outlines a new class triple-band bandpass filters employing cavities that resonate in three orthogonal modes. The proposed design can achieve equivalent performance with fewer cavities, thus significantly reducing the size and footprint when compared to traditional approaches. The concept is applicable to all triple-band cavities as demonstrated in this paper using rectangular waveguide cavities. The proposed triple-band filter offers increased Q and allows for independent control of each frequency and coupling parameter. A 4th order C-band triple-band filter is designed, manufactured, and tested to validate the proposed concept. To the best of authors' knowledge, this is the first triple-band filter realized with a cavity structure.
Features of vibration signal of power transformer using local wave method

The mechanical faults of a transformer are predicted with monitoring its vibration, which is a new technology put forward recently for condition based monitoring of transformers. The key technology of vibration method is how to identify the effective features of the vibration signal. Here, a new self-adapting time-frequency analysis method - local wave method which is developed from the empirical mode decomposition is applied, and it is combined with the Hilbert transform to get the time-frequency distribution of local wave, which can qualitatively describe the relationship between time and frequency, and achieves a effective recognition of the non-linear, non-stationary signals. Experimental results in this paper demonstrate that the features of the vibration signal can be effectively found out with local wave method, and the energy distribution of the vibration signal to frequency bands can obtained. The mechanical status of the core and winding of a transformer can be effectively diagnosed by the frequency bands-energy distribution. The local wave method is a effective method for diagnosing the mechanical faults and the severity of the faults of power transformers.
The optimization research on map marker coverage

The development of computer's application changes our daily life. Online maps application and popularization provide us a more convenience life. As individual users, we usually search for single or several map markers on the Internet. For the existing online map, whether from the positioning accuracy, reaction speed, and operating convenience aspects, it is an advanced system. But for the abundant makers, due to the positions of the searched makers are so close, there is a problem of overlapping coverage between markers and markers at a certain zoom level, which requires the maker clustering algorithm to optimize the geographic information display. Through the aided optimize of interaction design in the process of maker clustering, it can help us to enhance the study of geographic data mining and analysis.
A New Method of Feature Description for Human Action Recognition

Human action recognition is an important task for intelligent video surveillance. The first step of the algorithm for the task are feature extraction and description. The result of action recognition is strongly depend on the accuracy of this step. Many method such as SIFT, HOG, Optical flow are proposed for a robust feature detection. However, it is still difficult to realize robust detection for many scenes by these method. In this paper, we adopted a method which is firstly used in action recognition. We also proposed a new method to describe feature. The results show that our method for feature extraction and description could improve the accuracy of action recognition.
Information Entropy Based Clustering Method for Unsupervised Internet Traffic Classification

In this paper, we develop an unsupervised machine learning method for network traffic classification. First, the traffic flows from active hosts are separated into different clusters by sequentially applying the information entropy techniques. The clusters are then classified into broad-based application types by examining the parameters of the clusters, as well as the dynamic properties of the clusters during the clustering process. Experiment results from a campus backbone environment are presented, where the network traffic flows from the top 20 active hosts are identified. The results showed that the identification accuracy is approximately 93.81%. This compares to prior works using unsupervised machine learning methods, where the classification accuracy is generally lower, with the highest being 86.5%. We also show that our method can be combined with supervised learning method to further improve the classification accuracy and perform automatic training on the classification engine.
Preparation and dielectric properties of nano-TiC/polyimide composite films as embedded-capacitor application

In this paper, a series of nano-titanium carbide doped polyimide (nano-TiC/PI) composite films were successfully prepared via in situ polymerization. Before addition, the TiC nanoparticles were modified by oleic acid (OA) to improve its dispersity in PI matrix. The microstructures, mechanical properties and dielectric properties of OA-modified TiC doped PI composites were investigated and compared with that of the pure-TiC/PI composites. Scanning electron microscopy (SEM) analysis showed that the dispersity of TiC nanoparticles modified by oleic acid in composite films was better than the pure TiC nanoparticles without modified. Results from mechanical property tests, including the tensile strength and the elongation at break, indicated that the addition of TiC nanoparticles decreased the mechanical properties of PI films. Compared with the pure-TiC/PI composite films, the mechanical properties of the OA-modified TiC/PI composites got a slight improvement, which was the mechanical properties of composite films with 20 vol.%. OA-modified TiC addition increased slightly (86.3 N/mm2 and 5.5% respectively), nevertheless, the pure-TiC/PI composites were just 65 N/mm2 and 3% respectively. The dielectric constant of 20 vol.%. TiC nanoparticles modified by OA doped PI composite film showed an average permittivity as 83, which was about 1.5 times higher than that of pure-TiC/PI composite films (55). However, the dielectric loss only rose slightly. Results of dielectric breakdown test indicated that the average breakdown field strength was improved over 67% (57 KV/mm) than pure-TiC/PI composites with 5 vol.%. (34 KV/mm). Therefore, the development of these novel polyimide composite films with favorable dielectric properties is immeasurably potential for embedded-capacitor applications.
Wireless video traffic bottleneck coordination with a DASH SAND framework

MPEG DASH is a client driven, pull based, adaptive streaming technology that allows for quality and bandwidth trade offs at streaming times. This is especially useful for mobile and Over The Top (OTT) video streaming applications, as throughput variations are inevitable. However, when multiple DASH clients are sharing a common wireless bottleneck with under-provisioned resources, e.g., multiple devices sharing the same home cable connection, or multiple UEs sharing the radio resource served by the same base station, simple adaptation within the same traffic session is not enough and may lead to sub-optimal solutions. In this work, we introduce new Quality of Experience (QoE) metrics for DASH sub-representations, and propose a marginal utility maximization-based resource pricing scheme to coordinate multiple video traffic sharing the bottleneck resource. The solution is based on the DASH SAND (Server And Network assisted DASH) messaging framework. Simulation results demonstrate the QoE multiplexing gains from this solution, and the pricing control scheme is adopted in SAND messages.
Azimuth spectrum reconstruction using FrFT for formation-flying satellites SAR

Spatial azimuth samples provided by formation-flying satellites are almost irregularly spaced and can be represented as a periodic non-uniformly sampling because of the influence of various factors; consequently, traditional imaging algorithm produces unsatisfactory results. In order to solve this problem, the theory of Fractional Fourier Transform (FrFT) is introduced and azimuth spectrum reconstruction algorithm based on FrFT for formation-flying satellites SAR is proposed. Not only the proposed reconstruction algorithm can reconstruct uniform signal spectrum along the track from periodic non-uniformly sampled signal, it can also be utilized to carry out high-resolution and wide-swath simultaneously for formation-flying satellites SAR system. Finally, simulations are presented to verify the theory.
The diagnostic method of earth fault based on the evolution of fault in distribution network

For power distribution systems, recognizing the single-phase ground fault is very difficult because there are several faults with similar features. This paper presents a novel method that can help to overcome this difficulty. The idea is that the evolution process of fault is a whole, which is composed of several evolution stages including the transient state, the stable state and others. Meanwhile it describes the evolution process of fault in the time domain and the frequency domain, and find out the characteristic processing in the evolution process of fault. In the same time, it divided the fault into several stages in which presented the evolution process statue of faults. In the characteristic processing, it analyzed the fault classification that caused the neutral point voltage increase, and verified the fault characteristic libraries. Theoretical analysis, computer simulation and lab experiments verified the effectiveness of the proposed method.
A Network Equilibrium Model for Emergency Logistics Response under Disaster Spreading

Quick and accurate response to the relief demand is vital to an emergency logistics network under disaster spreading. In this paper, we first characterize the disaster spreading process to forecast the time-varying relief demand, by using an epidemic model to analyze the relationships among three groups of affected individuals. Then, a new three-tiered emergency logistics network equilibrium model is formulated to satisfy the predicted urgent demand with the least relief cost, in particular the time cost. We perform numerical simulation to demonstrate the effectiveness of our model, and discuss the impact of the important parameters.
Optimization Studies of Two-Phosphor-Coated White Light-Emitting Diodes

Three-hump InGaN-based white light-emitting diodes (LEDs) precoated with traditional yellow/green phosphors and red-emitting quantum dots (QDs), have been numerically investigated. Under variations of eight correlated color temperatures (CCTs), three wavelengths, two bandwidths, and two peak heights, optimal results of luminous efficacy radiation (LER) and color rendering index (CRI) are identified and retained through filtering off billions of unqualified candidates. These results include LER = 390 lm/W and CRI = 90 [chromaticity difference (Duv)<;0.0054] at CCT = 3000 K. In addition, our photometric and colorimetric sensitivity studies provide the dependence of LER, CRI, CCT, and Duv on LED spectral parameters affected by operating temperatures. Finally, we have discovered that higher instabilities may be induced for cool white LEDs (CCT = 6500 K) than for warm white LEDs (CCT = 3000 K) within the analysis of CCT versus spectral parameters.
Ultrafast THz modulation characteristics of photo-induced metal-insulator transition of W-doped VO2 film

The ultrafast terahertz modulation characteristic during photoinduced metal-insulator transition (MIT) of W-doped VO2 film was investigated at picoseconds time scale using time-resolved terahertz spectroscopy. The phase transition dynamic process was dramatically suppressed in W-doped VO2 film, which could be ascribed to the lattice distortion and enhanced electron-electron interaction caused by W substitution for V. The transient complex terahertz conductivity of W-doped VO2 film at different pump-probe delay times were extracted and can be well fitted by Drude-Smith model, which provide significant insights into the dynamic properties of MIT in nanogranular VO2 film.
Sub-rule Algorithm for Arrangement of Examination Rooms Based on the Examinee Proportion

Combining with the usual requirement and multi-constraint conditions of examination arrangement, the math model of examination arrangement is built, and a sub-rule algorithm for arrangement of examination seat based on the proportion of examinee is proposed. Then the detail step of the algorithm is given, and the complexity is analyzed. The Analysis and experiment result show the algorithm can control the distribution proportion of examinee and the arrangement process completely avoiding the examinee of the same high school been arranged the adjacent position. The model and algorithm should been used in all kinds of arrangement of examination seat and other corresponding problems because of having some good excellences, such as, speediness, efficiency, inheritance and realization easily.
AKULA -- Adaptive Cluster Aggregation for Visual Search

Key point features are very effective tools in image matching and key point feature aggregation is an effective scheme for creating a compact representation of the images for visual search. This solution not only achieves compression, but also offers the benefits of better accuracy in matching and indexing efficiency. Research is active in this area and recent results on Fisher Vector based aggregation have shown to be very effective in a number of application scenarios. In this paper, we present a new direct aggregation scheme that is adaptive to the descriptor distributions from individual images and does not enforce a single generative model such as GMM in the Fisher Vector type aggregation. Moreover, it achieves better compression as well as image matching accuracy. Simulation results with the image identification data set from MPEG Compact Descriptor for Visual Search (CDVS) effort demonstrate the effectiveness of this approach.
Research on Relevance Vector Machine and Its Application to Fault Diagnosis of Transformers

Transformer fault diagnosis based on relevance vector machine (RVM) is proposed. The advantages of the RVM over the support vector machine (SVM) are probabilistic predictions, automatic estimations of parameters, and the possibility of choosing arbitrary kernel functions. Most importantly, RVM is capable of comparable classification accuracy to SVM, but with fewer relevance vectors (RVs) and higher testing speed. Performances of RVM are analyzed and validated using typical classification examples and then RVM is applied to fault diagnosis of transformer. The RVM-based fault diagnosis of transformer is described in detail. The method takes normalized transformer feather gases content as inputs. Transformer fault diagnosis model is constructed based on binary tree classification method. Experimental results show that RVM-based transformer fault diagnosis is capable of comparable or even more excellent diagnosis accuracy to SVM, but with typically highly sparse models and highly diagnosis speed.
Sparse decomposition method of leakage current based on EMD

As sparse decomposition method can improve the efficiency of data compression, it's effective to reduce data storage and transmission costs in insulator monitoring system by compressing non-stationary leakage current. There are large computation and high reconstruction error during Fast Fourier Transform (FFT) decomposing non-stationary leakage current. To solve these problems, this paper presents sparse decomposition method of leakage current based on EMD. Decomposed non-stationary leakage current into a finite number of stationary intrinsic mode functions (IMF), then sparse decomposition of FFT processed every IMFs. The experiment results indicate that this method not only enhances the speed of process but also the whole compression ratio in the case that FFT processes leakage current by EMD.
Research on Performance Simulation of Streaming Media Based on the Wireless Network

The wireless mobile network is a dynamic environment. The characteristics of the wireless mobile communication include limited channel bandwidth, high BER, dynamic change over time, unstable channel quality, mobile node, competition of multiple users to share the channel, and the users' wireless signal interference from other nodes of the shared channel. These characteristics of wireless communication make us face a serious challenge to provide QoS guarantee of real-time streaming media application in the wireless network environment. In this paper, the NS emulation method is used to study the performance of MPEG-4 streaming media in the IEEE802.11 g wireless local area network environment.