nils-herrmann/clean_scirepeval huggingface dataset:
Modeling and simulation of dual-three-phase induction machine with two opened phases

An induction machine with capabilities to start and run even with one or more of its stator phases open-circuited when the winding structure is multiphase. Diverse space place of lost stator phase has different influence on machine. In this paper, a method of vector space decomposition is presented to analyze the model of dual-three-phase induction machine with two stator phase open-circuited. Dynamical performance analysis and simulation results of the machine with two opened phases is included.
Filter design and optimizing based on a neural network

Filters are fundamental components widely used in Electric Information and Control Engineering. Filters based on rectangular waveguide have good performance with low loss, high operation frequencies and high power. But the design and optimizing is a rather complex job. In this paper, a neural network is introduced to optimize two parameters in a waveguide band-pass filter. The result shows that after training, the neural network can predict the S parameter well and make the process of optimizing easier.
The finite element analysis of cylindrical overlapping piezoelectric transducers

The cylindrical overlapping piezoelectric transducer is mainly composed of the three cylindrical piezoelectric ceramics, bracket, metal bolt, rubber, waterproof layer and output cable. The transducer model was established, separately in the air and water, with ANSYS to calculate the vibration frequency and conductance .The transmitting response and directivity in water were also calculated .The results showed that the overlapping structure effectively improved the sensitivity of the piezoelectric transducer.
An image retrieval method about ancient Chinese characters within local area

Ancient Chinese characters normally have complex structures which are composed of many strokes. Different characters may show a similar shape which results in unsatisfactory answers for their image retrieving using the traditional methods. In this paper, an image retrieval algorithm for ancient Chinese characters is proposed based on the local area of characters. First of all, according to the need of users, the regions needed to be matched are marked on the sample of ancient Chinese character image. Then we match the image by comparing the Euclidean distance of feature parameters between sample image and database images. Finally, the ancient images which users need are found. The experimental results show that the proposed method could improve the efficiency of correlative research.
Spatial error concealment based on directional decision and intra prediction

The paper presents a novel spatial error concealment algorithm based on directional decision and intra prediction. Unlike previous approaches that simultaneously recover the pixels inside a missing macroblock (MB), we propose to recover them 4/spl times/4 block by 4/spl times/4 block. Each missing 16/spl times/16 MB in an intra frame is first divided into 16 blocks, each with size 4/spl times/4, then recovered block by block using Intra/spl I.bar/4/spl times/4 prediction. Previously-recovered blocks can be used in the recovery process afterwards. The principle advantage of this approach is the improved capability of recovering MB with edges and the lower computational complexity. The proposed algorithm has been tested on the H.264/AVC reference software JM7.2. Experimental results demonstrate the advantage of the proposed method.
Research on optical formulas extraction

Automatic recognition and reconstruction of formulas are key parts in an OCR (optical character recognition) system. Mathematical formula extraction is the first step in this technique. Little has been done in this area. Some research was focused on mathematical formulas in printed documents. An approach containing both the MSE feature of CCXs and heuristic rules for mathematical formula extraction is proposed. The MSF feature of the CCXs based approach is used to extract isolated formulas from printed documents and some heuristic rules are used to extract the embedded formulas from image blocks. The experiments indicate that a combination of the two methods can obtain favorable results.
Research on the Performance of ITS Information Publishing Measures

This paper explores the performance of traffic information publishing measures (TIPM). By applying the model and theory of the Analytic Network Process (ANP), a comprehensive multiple-attribute evaluation framework was proposed with the consideration of both the relationships of feedback and dependence among the criterion in five dimensions, such as cost, technique, capability, quality and charger. Weights were calculated to emphasize the interdependent relationships by using special software Super Decision and used in evaluating the six main intelligent transportation system (ITS) information publishing measures in Beijing. Finally, the evaluation results were ranked based on the total scores in descending order. It can be used as a guide for TIPMs proprietors to review, improve, and enhance service qualities in the future.
AND/OR Tree Search Algorithm in Web Service Composition

Composition of web services has received much interest to support business-to-business or enterprise application integration. Web service composition lets developers combine single services as a composite one to achieve complex goal. It is a highly complex task and already beyond the human capability to deal with the whole process manually, so AI-based approach for automated web service composition has drawn much research attention. AI-based service composition uses some algorithm in Artificial Intelligence, such as AI planning and graph searching. Based on analysis of the limitation of those two approaches, an AND/OR tree-based approach for web service composition is proposed in this paper which is based on Artificial Intelligence. The Input/Output Dependency AND/OR Tree is represented first, and then AND/OR tree search algorithm including basic search algorithm and special algorithm is discussed. With that, an implementation is provided to described whole process when apply AND/OR Tree search algorithm in web service composition field.
A maintenance algorithm of FDS based mathematical expression index

Mathematical expressions have complex two dimensions structure which could not be processed properly by traditional full-text retrieval method. It is necessary for us to research and develop special retrieval theory and technology including the indexing and matching methods of mathematical expressions which fully considers the characteristics of them. In this paper, a maintenance algorithm is designed for the mathematical expression index based on FDS which we given previously. Firstly, the existing achievements about mathematical expression recognition and retrieval are introduced and discussed. Then, the FDS is defined based on formula structural tree and the corresponding mathematical expression index is constructed. Finally, the index maintenance algorithms including the searching, inserting, and deleting operations of index items corresponding to the FDS based index are designed. The experimental result shows that the proposed method is helpful for the mathematical resources management and retrieval.
WDM-PON system based on subcarrier multiplexed single sideband modulation

A WDM PON system based on single sideband (SSB) modulated subcarrier multiplexed signal for downlink data transmission is proposed and experimentally demonstrated. The scheme reduces the effect of Rayleigh backscattering (RB) and allows self-heterodyne signal detection at the ONU for high order modulation and chromatic dispersion (CD) equalization.
Optical font recognition based on Gabor filter

The font recognition of Chinese characters is an important part in OCR (optical character recognition) system. It is also a main technical challenge due to the similarity of different fonts. The reconstruction quality of layout depends on the accuracy of font recognition. However, the prevalent method of font recognition is predominant font recognition based on the fact that the most layouts are printed in a single font, which makes it impossible to reconstruct the original layout. In this paper, an improved font recognition method of individual character is proposed. The approach consists of three steps. In the first step, the guidance fonts are acquired based on Gabor filter optimized with genetic algorithm (GA). Then a single font recognizer is applied to get the matching results with the help of the guidance fonts and the layout knowledge of font typesetting. Finally, the post-processing of font recognition is fulfilled according to the layout knowledge. Experiments were carried out with samples from newspaper and magazines and the results show that the method is of immense practical and theoretical value.
Chebyshev and conjugate gradient filters for graph image denoising

In 3D image/video acquisition, different views are often captured with varying noise levels across the views. In this paper, we propose a graph-based image enhancement technique that uses a higher quality view to enhance a degraded view. A depth map is utilized as auxiliary information to match the perspectives of the two views. Our method performs graph-based filtering of the noisy image by directly computing a projection of the image to be filtered onto a lower dimensional Krylov subspace of the graph Laplacian. We discuss two graph spectral denoising methods: first using Chebyshev polynomials, and second using iterations of the conjugate gradient algorithm. Our framework generalizes previously known polynomial graph filters, and we demonstrate through numerical simulations that our proposed technique produces subjectively cleaner images with about 1-3 dB improvement in PSNR over existing polynomial graph filters.
Querying Similar Process Models Based on the Hungarian Algorithm

The structural similarity between two process models is usually considered as the main measurement for ranking the process models for a given query model. Current process query methods are inefficient since too many expensive computations of the graph edit distance are involved. To address this issue, using Petri-net as the modeling method, this paper presents the Hungarian algorithm based similarity query method. Unlike previous work where the non-task nodes (i.e., place nodes in the Petri-net) were lightly studied or even ignored, we think these non-task nodes also play an essential role in measuring the structural similarity between process models. First, we extract the context for each place and define the similarity for a pair of place nodes that are from different process models from two perspectives: commonality and the graph edit distance. Then, the place mapping is transformed to classical assignment problem that can be solved by Hungarian algorithm efficiently. Furthermore, we propose a new process similarity measurement on the basis of the place similarity. The extensive experimental evaluation shows that our Hungarian based methods outperform the baseline algorithm in both retrieval quality and query response time.
Study of jamming technology to frequency division multiplexing linear frequency modulation MIMO radars

The orthogonal frequency division multiplexing linear frequency modulation (OFDM-LFM) MIMO radar, as a typical MIMO radar has been studied comparatively well. It is necessary to study its countermeasure method. For this purpose, a jamming method is proposed in this paper. Which can degrade the radar performance by transmitting multi-signal synchronously. First, the parameters of OFDM-LFM radar are analyzed and the multi-jamming-signals are generated at the same time. Compared with the traditional methods, the approach requires less jamming power. Furthermore, the bigger amount of subarrays the less jamming power is required. The simulation experiments show that the method is effective to counter MIMO radar with a small jamming power.
Inter-harmonics analysis method based on particle swarm optimization algorithm

With the deterioration of harmonics pollution in power system, it is of great importance to accurately find out the harmonics component for the safe and economical operation of the power system. To effectively detect the harmonics and inter harmonics in electrical signals, an input matrix is built with series of time delay sampling signals. The waveform of each component can be obtained by independent component analysis (ICA) based on maximum likelihood estimation, and frequencies of the fundamental wave, harmonics and inter- harmonics in signal can be obtained also. Using these values as initial condition, particle swarm optimization (PSO) algorithm is run and the amplitude and phase of each component consisting of the signals are accurately computed. Matlab simulation results show that this method is more accurate to analysis inter-harmonic parameters, especially to the inter-harmonics between closer frequency, still be able to accurately analyze their parameters.
An Improved Method for Similar Handwritten Chinese Character Recognition

Similar characters existed in Chinese character affect much on enhancing the handwritten Chinese character recognition rate. An improved method is presented in this paper, which combines structural and statistical features for similar handwritten Chinese character recognition,. Four-corner code feature that based on stroke structure is used to get the similar character set. According to the different strokes on the four corners, four-corner code feature can dispatch some characters which are similar in shape into different similar sets. Statistical hierarchy contour features are extracted from the characters in the same similar set, then support vector machine (SVM) is adopted as classifier to recognize the similar characters. This method reduces the complexity of recognizing similar characters, and the experiment results on common used 500 Chinese characters show the effectiveness.
Optical Formula Extraction Based on Irregularity Degree

Optical formula extraction is considered as an important step of mathematical formula recognition, which can convert scientific papers into their corresponding electronic format. So far little research has been done in this area. This paper proposes an approach of extracting embedded formulas that first invokes a searching algorithm to find the connected components of the input document, calculates the layout feature of every component based on irregularity degree, and then locates the formula symbols according to the features. Finally, several measurements including linking grammar are used to locate the formula areas. The experimental results indicate that the proposed method can obtain favorable results
Backward view synthesis prediction for 3D-HEVC

View synthesis prediction provides an effective way to reduce inter-view redundancy of multiview video in addition to conventional disparity compensated prediction. Traditional forward warping techniques incur high complexity since an entire picture is typically warped from one viewpoint to another. To reduce this complexity, block-based backward warping is considered as an alternative solution. One difficulty with this approach is that it requires depth information of the current block prior to its encoding. To solve this problem, a novel method is proposed to derive the depth information from neighboring blocks with high accuracy. With the proposed approach, backward warping is enabled using depth information derived from either neighboring spatial (inter-view) compensated blocks or temporal compensated blocks. As a generalization, the proposed backward warping scheme is not only applied at the pixel level, but at the sub-block level as well. Simulation results demonstrate that the proposed scheme achieves an average bitrate savings of 1.2% for coded video vs coded video bitrate, 1.1% for coded video vs total bitrate, and 1.0% for synthesized video vs total bitrate under common test conditions for 3D video coding using HEVC, with maximum gains of greater than 10% for dependent views.
Singlet-Excitation Energy Transfer Among Carotenoids in the HL-LH2 Complex from Rhodopseudomonas Palustris

The structure of peripheral light harvesting complex (LH2) from photosynthetic bacterium Rhodopseudomonas(Rps.) palustris cultured at high-light(HL) is very complicated, which includes five kinds of carotenoids(Cars) molecules in one unit. Femtosecond time-resolved absorption spectroscopy has been used to study the process of excited-state energy transfer(EET) among Cars in LH2 excited by femtosecond laser pulse at different wavelength. The characteristic spectra of singlet (Sn) and triplet (T1) excitation Cars were observed in visible spectral region. The results suggest that the singlet EET processes may occur from Cars with shorter conjugation length(n) to that with longer conjugation length besides excitation energy internal conversion. These complicated excitation energy equilibrium in the HL-LH2 from Rps. palustris fulfills within 6 ps. It might imply that the coexistence of many Cars is helpful for Cars serving as photoprotection.
Bidirectional Hybrid OFDM-WDM-PON System for 40-Gb/s Downlink and 10-Gb/s Uplink Transmission Using RSOA Remodulation

We experimentally demonstrate a bidirectional hybrid orthogonal frequency-division-multiplexing wavelength-division-multiplexing passive optical network (OFDM-WDM-PON) system. The proposed scheme uses OFDM signals occupying different portions of the available signal spectrum for uplink and downlink signal transmissions to reduce the effects of Rayleigh backscattering, chromatic dispersion, and power fading. A 40-Gb/s downlink signal transmission based on a single sideband modulated OFDM signal, and a 10-Gb/s uplink signal transmission using remodulation of a reflective semiconductor-optical-amplifier are realized.
Management Information System for Dam Safety Monitoring Based on B/S Structure

Aimed at the deficiency of research and development in management information system for dam safety monitoring (DSMMIS) at home and abroad, considering the developing demand of dam safety monitoring and management, DSMMIS based on B/S (Browser/Server) have been researched. Based on B/S, the system is designed and realized by adopting ASP.NET(C#) technique and SQL server 2005 database, mainly including drafting of the development goal, selection of the development environment, design of the overall structure and system function, and realization of program, etc. The system, with friendly interface, convenient utility and high reliability, has been used successfully in many dam safety monitoring projects such as BiKou, showing good operation condition, being capable of managing all kinds of dam safety monitoring information promptly, accurately and conveniently, monitoring the safe operation of the dam timely.
Synergic Production Process Controlling in Supply Chain Management

This paper analyses the operational coordination mechanisms between the core enterprise and the partners within a supply chain having private local information. For a make to order production setting, a hybrid model of synergic production scheme based on negotiation is proposed. After analyzing the characteristic of synergic production process, this paper establishes the hierarchy of synergic production process monitoring. In the production process monitoring, four monitoring modes are defined according to the significance of the items in the whole product. A Web-based synergic production management system for supply chain has been implemented with programming in ASP and Ms SQL server. The application shows that the approach proposed in this paper is applicable to practical production in supply chain
Relaxed nonquadratic stabilization and H∞ performance conditions for discrete fuzzy system

This paper proposed a new approach to the stabilization analysis and H infin performance for a class of discrete nonlinear systems that are represented by a Takagi and Sugeno (T-S) fuzzy model. The main result given here concerns their H infin controller design using PDC-like control laws and nonquadratic Lyapunov functions. New relaxed conditions and linear matrix inequality-based design methods are proposed that allow outperforming previous found in the literature. Finally, an example is given to demonstrate the efficiency of the proposed approaches.
Research on Symbol Recognition for Mathematical Expressions

The recognition of mathematical symbols is an important step in the mathematical expression recognition system. It consists of two stages: symbol segmentation and symbol recognition. Aiming at the fact that the commercial OCR systems cannot recognize expression symbols correctly because of the differences between mathematical symbols and ordinary characters, we do lots of research work on the recognition of printed expressions. An approach that contains feedback mechanism is proposed for symbol segmentation and recognition. Firstly, projective features and connected components labeling method are used to segment symbols in expressions. Then the peripheral features and directional line element features are extracted from symbols. Finally, a coarse-to-fine classification strategy is employed to recognize symbols with these features. The experiments show that these methods can obtain satisfactory recognition accuracy with a high speed
Wheel Antenna of Wireless Sensors in Automotive Tire Pressure Monitoring System

Due to the electrically small antenna of wireless sensor in automotive tire pressure monitoring system (TPMS), wireless transmission efficiency of TPMS is low. To increase the wireless transmission efficiency of TPMS system, a wheel antenna is proposed in this paper. The wheel antenna consists of a valve and a wheel. The three-dimensional electromagnetic (3D EM) simulation model of the wheel antenna is presented. The simulation results are used for the design of wheel antenna matching circuit and the determination of wireless sensor input power. To evaluate wireless transmission performance, the test methods of received power and wireless data transmission are used. The vehicle-carrying test results show that the TPMS with the wheel antenna has a better performance than the previous TPMS system with a dynamic antenna.
An improved font recognition method based on texture analysis

Font recognition plays an important role in OCR system. It can be achieved in a simple and effective way with texture analysis by regarding fonts as different textures. But Gabor filters with traditional parameters, which are used to extract features in the previous approach, are not much suitable to font recognition and the RR (Recognition Rate) will decrease sharply when the similar fonts are recognized since the font textures is different from natural textures. Therefore, some adjustments are proposed in this paper to improve the RR: 1. A bank of optimized filters can be gotten by using Genetic Algorithm to optimize the orientation parameters. It can be used to extract distinct features to identify the font well. 2. For reducing the FAR (False-Accept Rate), several dictionaries are set to deal with the diversity in textures of the same font. Experiments are carried out with 899 textures of 4 frequently used Chinese fonts in newspaper, the results compared with the previous show that RR can be improved and the adjustments are useful.