nils-herrmann/clean_scirepeval huggingface dataset:
Distributed intrusion detection based on hybrid gene expression programming and cloud computing in a cyber physical power system

With the increasingly widespread application of information and communication technology, the smart grid has gradually evolved into a cyber physical system characterised by deep integration between the information space and physical space. All manner of intrusion attacks on cyber physical power systems are growing more and more frequent. Timely and accurate detection and identification of these intrusions are essential for the effective control and protection of cyber physical power systems. For massive and high-dimensional intrusion behaviour data in cyber physical power systems, distributed intrusion detection based on hybrid gene expression programming and cloud (DID-HGEPCloud) computing is proposed. In the DID-HGEPCloud, attribution reduction with noise data based on rough set and a global intrusion model based on non-linear least squares are applied to improve the efficiency and accuracy of intrusion detection. At the same time, the MapReduce programming framework of cloud computing is adopted, and parallelisation of the model of the proposed algorithm is performed to enhance its ability to manage massive and high-dimensional data. Comparative experiments show that the algorithm proposed in this paper has obvious advantages in terms of false attack rate, DAR, and average time consumed. Furthermore, the proposed algorithm possesses excellent parallel performance.
Optimal Transmission Scheduling for Scalable Wireless Video Broadcast with Rateless Erasure Correction Code

With the advances in wireless technology and explosive growth of mobile devices and wireless networks, mobile TV is becoming a popular application. The main technical challenge to wireless video broadcast is to provide the best quality of service possible under the radio resource constraints. In this paper we propose an application layer middleware solution that utilizes the scalability in video coding with rateless erasure correction codes to achieve a balance in the quality of service (QoS) and radio resource efficiency. Simulation results demonstrate the effectiveness of the solution.
Numerical simulation wind analysis for plate-cone reticulated shell

Plate-cone reticulated shell is a new type of space steel structures with good mechanical behavior and technical economy. In this paper, by using the wave superposition method, the fluctuation wind loads are simulated. According to the structural behavior of plate-cone reticulated shell, the structural shape factors of wind load for plate-cone reticulated shell were gained with numerical wind tunnel simulation based on Computational Fluid Dynamic(CFD) method through simulating wind field variation around plate-cone reticulated shell, and comprised with the common reticulated shell's shape factors of wind load suggested by the Code for loads, some important conclusions for plate-cone reticulated shell are obtained for practical design.
Numerical Study on Silver Diffusion Joints of Coated Conductors by Finite-Element Method

Given the length limitations of commercial coated conductors, joint is very important for their practical applications. Silver diffusion joints are regarded to be promising in the superconducting applications without operation in persistent current mode. This paper presents a 3-D numerical model of silver diffusion joints. The current distributions in the contact layers and their effect on the joint resistance are systematically studied by varying silver layer thickness, length, and width of contact area. It is investigated that the width of the contact area has an inverse proportion to the simulated joint resistances in the range of 2-12 mm like a normal conductor. However, the relationship between the contact length and the simulated joint resistance has an evident deviation from the inverse proportion, because the current distribution in silver layers is highly nonuniform and gives rise to a smaller “silver usage ratio” when the contact length is longer. Based on the hypothesis that the sheet resistivity of ReBCO-Ag and Ag-Ag interfaces is uniformly distributed and is affected by the “silver usage ratio” to the same extent as the bulk resistance of the silver layers, the joint resistances derived from our model are in good agreement with the experimental results.
Characteristics of a Bi-2212 Monofilar Superconducting Fault Current Limiting Element

The Bi-2212 monofilar bulk element was selected as a candidate in developing a 24 kV/630 A class superconducting fault current limiting (SFCL) system. This study investigated the Bi-2212 monofilar element both experimentally and theoretically regarding the DC voltage-current characteristics, AC loss characteristics, inductance, current limiting characteristics and local temperature distribution. It was found that the critical current of the Bi-2212 monofilar element increased 3.3 times as the operation temperature decreased from 77 K to 65 K. Although the arrangement of the Bi-2212 conductor was a coil shape, the measured AC loss was at a level similar to what is calculated from the Norris equation at both the temperatures 77 K and 65 K. The temperatures measured at each section during a fault were in good agreement with the results of the numerical analysis. Moreover, the results showed that the monofilar element was not yet sufficiently homogeneous to be used at its full rated voltage.
Detection of abnormal trends in electrical data

Abnormal detection of electrical data has been widely used in the electric power industry. However, traditional abnormal detection algorithms mainly focus on the abnormal value in data of power consumption. Electrical data, which describes electricity consumption of different regions in different time, implies the tendency of the electricity consumption in different areas. By focusing on the change of trend in electricity data, this paper presents an algorithm to detect the abnormal change of electricity trend. By using backtracking dynamic window model, the proposed algorithm can find the abnormal situations of electricity trend that occur under windows with different lengths. Experiments on the real electrical data sets verify the effectiveness of the algorithm.
Design of a dual-band dual-mode substrate integrated waveguide filter with symmetric transmission zeros

In this paper, a dual-band dual-mode substrate integrated waveguide (SIW) filter with symmetric transmission zeros is presented. The filter is comprised of three-cavity dualmode resonators with inductive inter-resonator couplings. Each cavity has a pair of orthogonal waveguide resonator modes (TE102 and TE201) capable of producing two transmission poles and one transmission zero. The proposed filter is implemented using SIW technology featuring compact size, low cost, high Q, and high power-capacity. Examples of three-cavity dual-mode SIW filters featuring bandpass and dual-band frequency characteristics realized via EM simulations are presented.
Key performance indicators for manufacturing operations management in the process industry

The international standard ISO 22400 has defined a set of Key Performance Indicators (KPIs) to evaluate the performance of manufacturing operation. However, the defined KPIs seem to be inspired from the discrete production context, and hence do not automatically fit the process industry context. The process industry is defined as the industry in which the raw material undergoes conversion during a continuous process in order to become finished products. To make the defined KPIs more suitable for evaluating the operational performance in process industry, this paper analyzes the different characteristics of process industry and discrete industry, and proposes a new framework for organizing KPIs in process industry. Some modifications are discussed to make the proposed ISO 22400 KPIs fit to the process industry. Such a study can provide useful ideas for manufacturing engineers and decision-makers to define and measure suitable KPIs for performance evaluation in process industry.
Service Outsourcing Partnership: A Case of Baosteel Group

As corporations look to concentrate on core competencies, the likelihood of outsourcing various business services increases. A special kind of services outsourcing in China is that the internal service provider is transformed to outside supplier through enterprise reform and restructuring. The nature of partnerships involved between clients and their providers in this kind of outsourcing has not received adequate attention in the scholarly literature. In this paper, we present a case that explains this type of service outsourcing partnership. We discuss how this partnership is conceived and implemented. A case study of the steel producer Baosteel of China highlights that while firms may reduce their presence in peripheral activities by non-core service outsourcing, they may also increase their presence in core areas so as to increase their value proposition.
Accurate Classification of the Internet Traffic Based on the SVM Method

The need to quickly and accurately classify Internet traffic for security and QoS control has been increasing significantly with the growing Internet traffic and applications over the past decade. Pattern recognition by learning the features in the training samples to classify the unknown flows is one of the main methods. However, many methods developed in the previous works are too complicated to be applied in real-time, and the prior probabilities based on the training samples are severely biased. This paper uses the SVM (support vector machine) method to train 7 classes of applications of different characteristics, captured from a campus network backbone. A discriminator selection algorithm is developed to obtain the best combination of the features for classification. Our optimized method yields approximately 96.9% accuracy for un-biased training and testing samples. For regular biased samples, the accuracy is about 99.4%. Furthermore, all the feature parameters are computable in real time from captured packet headers, suggesting real time network traffic classification with high accuracy is achievable.
The Research and Design of Vehicle Surveillance System Base on MapX

In vehicle surveillance system, it's important to realize digital map because it can easier to know vehicle's dynamic information. In this paper, application of MapX component in vehicle surveillance system is discussed. On the basis of analysis of composition and work principle of vehicle surveillance systems, using Visual C ++and integrating MapX component, realizes function of vehicles orientation, tracks replay, abbreviative map, objects query, then fulfills the design of digital map module of vehicle surveillance system. It's helpful for designing specific system using MapX.
Research on Time-Frequency Analysis Algorithm of Heart Sound Signal in Smart Clothing

Aimed at the heart sound signal acquired by new type FBG heart sound sensor in smart clothing, time frequency algorithm is proposed to analyze the first heart sound (s1) and the second heart sound (s2). Firstly, db4wavelet is used to decompose the signal which is reconstructed according to different signal contained in different layers of component after compulsory denoising. The reconstructed signal is then transformed into analytical signal by Hilbert transform, and negative frequency components are eliminated. Finally, analytical signal is analyzed by Wigner-Ville distribution, and the parameters of s1 and s2 are obtained. Analysis results show that the method can get the frequency range, duration time and amplitude of s1 and s2 accurately.
Recommendation of Web pages based on concept association

The precision and recall are two main criteria used to evaluate the performance of search engines. For general queries, the precision is most important, but for specific uses, e.g. scientific researchers and applicants for patent rights, the recall is most important and is often ignored. In this paper, an approach to Web pages recommendation based on concept association is introduced. This approach can produce recommended Web page links for users based on the information that associates strongly with users' queries, and therefore improve the recall of a search engine. In the paper, we discuss the meaning, effect and variety of concept association, and describe how to generate associational information related with users' queries and how to realize the association-based recommendation of Web pages. We also present relevant experimental results and give idea about our further work.
A prepositioned highly precision voltage regulator of AC regulated power supply based on single-chip micro-computer

This paper presents a novel prepositioned highly precision voltage regulator method based on single-chip micro-computer, uses a timing AC Servo Power Supply to make use of servo motor controlling Autotransformer, explains the working principle of the circuit, gives flowchart software,hardware block diagram and circuit schematic diagram. The realization of intelligent prepositioned highly precision voltage regulator and timing AC servo power Supply based on single-chip micro-computer, which has the feather of high accuracy and pre-set adjustable AC voltage. The function of which is highly power supply efficiency, stepless auto voltage, widely regulator range,small waveform distortion, timing regulator output, over voltage protection, under voltage protection, over current Protection, self protection circuit and smart alarm clock.
Experiment and Numerical Analysis on Magnetic Field Stability of Persistent Current Mode Coil Made of HTS-Coated Conductors

High-temperature superconducting (HTS) coils made of coated conductors that can operate in persistent current mode (PCM) are regarded to be promising in MRI/nuclear magnetic resonance and Maglev system. The temporal stability of the magnetic field trapped by the PCM coil is a key issue, which significantly determines the imaging quality of MRI and dynamic behavior of Maglev. This study focuses on the temporal stability of the trapped magnetic field in the double-slit HTS PCM coil, which is magnetized by a field cooling (FC) method at 77 K. The magnetic field decay behavior under different initial fields and FC ramp rates are systematically studied. The experiment results indicate that higher initially trapped field will lead to faster decay, but if the initially trapped field is lower than a certain value, this trend is no longer obvious. The FC ramp rate has a little impact on the field decay. Finally, a numerical model based on R–L circuit and E–J equation is established to fit the decay process. It is found that if the operating current is lower than 60% of the coil critical current, good temporal stability could be achieved. Another long-term experiment is performed that a stability of 8.1 ppm/h is achieved after 19 days’ decay.
Magnetic performance measurement and mathematical model establishment of main core of magnetic modulator

In order to investigate the relationship and effect on the performance of magnetic modulator among applied DC current, excitation source, excitation loop current, sensitivity and induced voltage of detecting winding, this paper measured initial permeability, maximum permeability, saturation magnetic induction intensity, remanent magnetic induction intensity, coercivity, saturated magnetic field intensity, magnetization curve, permeability curve and hysteresis loop of main core 1J85 permalloy of magnetic modulator based on ballistic method. On this foundation, employ curve fitting tool of MATLAB; adopt multiple regression method to comprehensively compare and analyze the sum of squares due to error (SSE), coefficient of determination (R-square), degree-of-freedom adjusted coefficient of determination (Adjusted R-square), and root mean squared error (RMSE) of fitting results. Finally, establish B-H curve mathematical model based on the sum of arc-hyperbolic sine function and polynomial.
Using generalized similarity filter to enhance proximity detection for sparse beacon deployment

Considering an incomplete signals acquisition due to a sparse beacon deployment, this paper proposes a generalized similarity filter to improve the performance of proximity detection and thus guarantee the quality of proximity-based service (PBS). In particular, this paper leverages Bluetooth Low Energy (BLE) Beacons to realize a PBS system which comprises a number of Proximities of Interest (PoIs). We define a PoI as an object or area which is associated with a beacon such that each PoI can announce their presence implicitly through the beacon's signal. However, under a sparse beacon network condition in which some beacons associated with some PoIs are malfunction or their batteries die before the scheduled maintenance, a receiver (e.g., smartphone) might fail to return the target PoI correctly. In view of the quality degradation in consequence to the sparse condition, we refine the performance of classical compressive sensing based algorithm with a generalized similarity filter. The effects of different similarity measures on proximity detection performance are also investigated. Simulation results indicate that the proposed algorithm improves the detection accuracy as compared to the conventional compressive sensing based algorithm. Specifically, Chordal-based similarity filter achieves substantial improvement in comparison with Mahalanobis and Euclidean-based similarity computation.
An Automatic Parameter Optimization Method on Performance Test of Storage Systems

In order to acquire the peak performance of one storage system quickly and accurately, an automatic parameter optimization method is used in performance test. By introducing artificial intelligence into storage test, the algorithms such as particle swarm optimization help to optimize parameters automatically on performance test. Experimental results show that this method can significantly improve efficiency and accuracy of performance test, so saving cost. The method based on intelligent optimization algorithms can acquire the optimal performance value of storage systems more quickly, especially in the case of there are too many parameters in performance test.
Preparation of Papain-Carried Wood Cellulose Fiber in Ionic Liquid by Wet Spinning

With the rapid development of the global industries and the impact this is having on atmospheric and environmental conditions, increased radiations factors are becoming more problematic. This study describes the application of a kind of new green solvent composed of (BMIM)+Cl - )+((BMIM)+BF4 - ) ionic liquids by wet spinning to prepare papain-carried wood cellulose fibers. And the dissolution process of wood cellulose with high D P in mixed ionic liquids was observed until the spinning solution was prepared. The morphologies of the papain- carried wood cellulose fiber samples were observed by SEM. The results showed that the methods of heat treatment on nascent fibers had great Influence on the morphological structure of the fibers. The diameter of the fiber no being heated in the oven was bigger than that of the fiber being heated and the surface of the fiber being heated in the oven was more smooth than that of the the fiber no being heated.
An Immunoassay for Determining Aflatoxin B1 Using a Recombinant Phage as a Non-toxic Coating Conjugate

Immunoassay for determining aflatoxin B1 involves in using the toxic mycotoxin in a conjugated form. To replacing the toxic conjugate in an immunoassay, four mimotope peptides of aflatoxin B1 were acquired by a panning-elution selection from a phage library, and one mimotope peptide was fused with the major coat protein gVIIIp by the pC89 phagemid display system. It led to a high copy number expression of the mimotope peptide in a recombinant phage. The recombinant phage was identified by an anti-aflatoxin B1 monoclonal antibody, and confirmed by DNA sequencing. An immunoassay was set up with the recombinant phage. The new method was compared to a conventional immunoassay. The calibration curves and the results of accuracy and precision were almost identical in both methods, which demonstrated the possibility of using the recombinant phage replacing the aflatoxin B1-protein conjugate to set up immunoassay.
Dopamine Detection Based on Low-Voltage Oxide Homojunction Electric-Double-Layer Thin-Film Transistors

Quick and accurate detection of dopamine (DA) is of great significance for routine analysis and biomedical diagnosis. Here, low-voltage indium-zinc-oxide (IZO) homojunction electric-double-layer (EDL) transistors using nanogranular SiO2 electrolytes as the gate dielectrics are proposed for DA detection. A DA detection limit of 0.1 nM with good selectivity is obtained at a low voltage of 0.8 V. The DA sensing mechanism can be attributed to the modulation of surface potential of the indium-tin-oxide (ITO) gate electrode by preferential binding of DA molecule to phenylboronic acid. Such low-voltage oxide-based EDL transistors have potential application in biochemical sensors.
MPEG-2 to AVS-M Transcoder with Mode Decision Optimization for Mobile Video Communication

AVS-M (the advanced audio video coding standard-mobile version) is established by Audio Video Standard Working Group of China for mobile-multimedia applications. To meet demands for communication between multimedia source and mobile system, transcoding from MPEG-2 to AVS-M is a key technique. However, the advanced intra and inter mode decision techniques adopted in AVS-M have a high computing requirement, which limits the real time implementation in mobile environment. In this paper, we propose a prediction mode decision optimization algorithm to reduce the transcoding complexity based on our previous work. Analyzing the relation among the prediction errors of blocks and doing adaptive motion re-estimation, we fast decide the best inter mode. Utilizing the directional feature of DCT coefficients, we fast decide the best intra mode. The simulation results show that the proposed MPEG-2 to AVS-M transcoder with mode decision optimization can be effectively adopted for mobile video communications
Pseudo-Sequence-Based 2-D Hierarchical Coding Structure for Light-Field Image Compression

In this paper, we propose a pseudo-sequence-based two-dimensional (2-D) hierarchical coding structure for light-field image compression. In the proposed scheme, we first decompose the light-field image into multiple views and organize them into a 2-D coding structure according to the spatial coordinates of the corresponding microlens. Then, we mainly develop three algorithms to optimize the 2-D coding structure. First, we propose a 2-D hierarchical coding structure with a limited number of reference frames to exploit the intercorrelations among various views. To be more specific, we divide all the views into four quadrants, and all the views are encoded one quadrant after another to reduce the reference buffer size as much as possible. Inside each quadrant, all the views are encoded hierarchically in both horizontal and vertical directions to fully exploit the correlations among different views. Second, we propose to use the distance between the current view and its reference views instead of the picture order count difference as the criterion for selecting better reference frames for each inter view. The distance-based criterion is also applied to the motion vector scaling process to obtain more accurate motion vector predictors. Third, an optimal bit allocation algorithm taking the influence of the various views on the following encoding views into account is proposed to further exploit the intercorrelations among various views and improve coding efficiency. The entire scheme is implemented in the reference software of high efficiency video coding. The experimental results demonstrate that the proposed novel pseudo-sequence-based 2-D hierarchical structure can achieve maximum 28.4% bit-rate savings compared with the previous pseudo-sequence-based light-field image compression method.