nils-herrmann/clean_scirepeval huggingface dataset:
Blind Image Quality Assessment Using a General Regression Neural Network

We develop a no-reference image quality assessment (QA) algorithm that deploys a general regression neural network (GRNN). The new algorithm is trained on and successfully assesses image quality, relative to human subjectivity, across a range of distortion types. The features deployed for QA include the mean value of phase congruency image, the entropy of phase congruency image, the entropy of the distorted image, and the gradient of the distorted image. Image quality estimation is accomplished by approximating the functional relationship between these features and subjective mean opinion scores using a GRNN. Our experimental results show that the new method accords closely with human subjective judgment.
An algorithm for reading activity recognition based on electrooculogram

The research of the relationship between eye-movement and human activity has become a hot spot in the field of the human-computer interaction. In order to recognize the eye-movement patterns related to reading tasks, an algorithm based on electrooculogram(EOG) has been proposed in this paper. In the proposed approach, wavelet packet decomposition was firstly used to smooth EOG signals during reading tasks, and then, according to the predefined coding strategy, the smoothed EOG waveform is translated into a coding string to represent current reading state. Finally, Levenshtein distance is employed to measure the similarity of the template string and the output string. The experiments under the experimental paradigms of autonomy-reading and stimulus-reading and reading with rest state have been carried out. The mean accurate has reached 90%. The experimental results indicate that the proposed algorithm can effectively recognize human reading activity state.
Strategic technology alliance and rapid accumulation of technological capabilities in emerging economies

This paper examined strategic technology alliance from the perspective of technological catching-up in emerging economies. We developed a conceptual model for describing the phenomenon that strategic technology alliance can effectively improve the absorptive capacity for firms in emerging economies. We used a case study of housing industrialization strategic technology alliance in China to explore the causal relationships between variables in this model. We found that through the mechanisms of technology outsourcing and knowledge sharing strategic technology alliance may effectively improve the absorptive capacity of the firms as a whole. By building up strategic technology alliance, it is possible for firms in the emerging economies to overcome the obstacle that individual firm can not effectively acquire and internalize the advanced technology in developed economies due to their lack of absorptive capacity.
TAGPP: A Tiny Aggregation Algorithm with Preprocessing in Local Cluster

Hundreds or thousands of sensor nodes are deployed to WSNs (wireless sensor networks). They contribute to collect data in various environment, but with limited battery power. There are some deficiencies in WSNs. Many sensors share limited wireless channel bandwidth, which leads to some sensors lose their data sent to cluster-head. Many cheap sensors are equipped to nodes for low cost and they usually have poor capability of sensing. They are easy to be interfered by harsh environment they work, leading to measurement error and noise disturbance. For these deficiencies,a tiny data aggregation algorithm with preprocessing applied to individual local cluster, based on Grubbs criteria, fuzzy clustering, is proposed in the paper. Clustering is also adopted, as an important mechanism, to reduce energy consumption and make better network performance. Individual cluster sensors’ data can be aggregated in cluster-head and Just the accurate result sent to sink node The simulation results show that It can efficiently eliminate outlier (abnormal data), make up for the impact of missing data in communications and improve data preciseness.
LS-RBF network based 3D surface reconstruction method

We propose a new method for surface reconstruction from scattered point set based on least square radial basis function network in this paper. The RBF network is trained by fewer samples and we can get the weights of this network. Then an implicit continuous function is constructed to represent a 3D model. In this method, a binary tree is used to efficiently traversal the data set. Our scheme can overcome the numerical ill-conditioning of coefficient matrix and over-fitting problem. Some examples are presented to show the effectiveness of out algorithm in 2D and 3D cases. The numerical experiment shows high efficiency and satisfactory visual quality.
Revision and improvement of a Theorem for robust synchronization of nonidentical Lur'e systems

In 1999, Suykens, Curran, and Chua obtained some nice results for robust synchronization of the master-slave Lur'e systems with parameter mismatch. Lately, it has been found that, in Theorem 2 of Suykens-Curran-Chua, there exists a defect on the estimation of the synchronization error bound. In this paper, a counterexample is taken to verify this defect and then a revision of the theorem is given. Finally, an improved version of the revised theorem is proposed to make the estimation more precise.
Pilot Sequence Design Scheme for Inter-Cell Interference Mitigation in OFDM Systems under Time-Varying Channels

Orthogonal frequency division multiplexing (OFDM) is robust against frequency selective fading due to the increase of the symbol duration. As the symbol duration increases, the OFDM systems become more susceptible to time-variations. Users moving at a quite high speed suffer the inter-carrier interference caused by the time varying (TV) channels. Meanwhile, users at the cell boundary are known to experience a large inter-cell interference in a fully-loaded OFDM cellular environment with a frequency reuse factor equal to 1. In this paper, the design of pilots in the downlink at the cell boundary is addressed, aiming at mitigating the inter-cell interference under TV channel. The properties of these pilots are described, and the simulation results are presented.
Covariance intersection-based fusion algorithm for asynchronous multirate multisensor system with cross-correlation

This study is concerned with asynchronous data fusion problem in the non-linear multisensor multirate system, where the observation noises are coupled with the system noise of the previous step. An estimation algorithm is designed based on covariance intersection (CI) fusion algorithm. First, the system is reformulated by using multiscale system theory. The local filtering algorithm processes the cross-correlated noises by exploiting the conditional Gaussian distributions. Furthermore, the first-order Stirling's interpolation algorithm and third-degree spherical-radial rule are used for non-linear approximate estimation. The fusion of the local estimate results is based on CI fusion algorithm. This study extends the currently available asynchronous data fusion algorithm for a multirate multisensor non-linear system, and considers the asynchronous correlation, then a novel algorithm is proposed, which has the ability to deal with the correlation, and is robust to the correlation between any two local filters. The effectiveness and superiority of the proposed algorithm are indicated by the results of numerical simulation.
A 9µW 88dB DR fully-clocked switched-opamp ΔΣ modulator with novel power and area efficient resonator

A 9µW 88dB DR switched-opamp (SO) ΔΣ modulator is implemented in a low cost 0.35µm CMOS process. To evaluate the effects of finite voltage gain and 1/f noise clearly, two high efficient methods are introduced. And a new fully switched-off SO with a 50% power saving and double Figure-of-Merit (FOM) over the traditional type is proposed to reduce the total power. Besides, to improve the performance, a novel resonator idea applicable to SO technique is adopted to realize a coefficient of 1/100 with 75% power and 70% area reduction over the conventional design. The FOM of the designed modulator is highest among the collected recent low power modulators.
A Voltage Feedback Based Harmonic Compensation Strategy for Current-Controlled Converters

Harmonics have been considered as one of the major issues in future power grids. With the increasing demand in advanced control functions, power electronic converter interfaced distributed generators (DGs) are expected to perform harmonic compensation when necessary. It has been demonstrated in a number of studies that DG converters operating in voltage-controlled mode can be easily configured to realize voltage harmonic compensation utilizing naturally embedded voltage control loop. While for DGs operating in current-controlled mode (CCM), such function was rarely studied. Considering that CCM is commonly used in renewable energy based generators and energy storage systems, it has certain significance to achieve the same function with CCM converters. Aiming at such objectives, this paper proposes a voltage detection based harmonic compensator (HC) for CCM converters. The novelty and main advantages of the proposed method include the following. It realizes seamless interface of HC with inner fundamental current control loop. Compared with a conventional active power filtering method, it does not require remote load harmonic current measurement since it is local voltage detection based. Compared with a conventional voltage detection based method, it offers better performance because of directly harmonic voltage regulation. Experimental results are presented to demonstrate the effectiveness of the method.
Head protrusion and its implications on head-disk interface reliability

As magnetic recording areal density increases the mechanical spacing between the head and the disk continues to shrink. Head protrusion, induced by write current heating of the coil and yoke during recording at operating temperature, may interfere with the disk. In this work, we have measured the head temperatures as a function of write current, frequency and flying conditions. The rise in coil temperature for a flying head was found to be much less than a head on the load/unload ramp. The measured temperature coefficient was consistent with the simulation. The amount of head protrusion was measured as a function of the write current. The head-disk interaction of the interface after 100000 write current bursts resulted in alumina wear. Some of the effects of head protrusion on the interface reliability are discussed.
Quintuple-Mode UWB Bandpass Filter With Sharp Roll-Off and Super-Wide Upper Stopband

This letter presents a quintuple-mode ultra-wideband (UWB) bandpass filter (BPF), using a multiple-stub-loaded resonator, consisting of multiple loaded stubs to a uniform transmission-line resonator, i.e., two asymmetrical stepped-impedance stubs at the center and four uniform-impedance stubs at the symmetrical side locations. Six modes including two odd and four even modes are controllable, while the first five modes are allocated within the UWB band. Two transmission zeros generated by the asymmetrical stepped-impedance stub are used to improve the passband selectivity greatly. The resonant mode and transmission zero chart are given, indicating that the higher modes could be suppressed by the transmission zeros generated by the stubs and the parallel-coupled lines. A compact planar UWB BPF is simulated, fabricated and measured, and the 20 dB stopband performance is extended to 29.7 GHz.
Modifications for Reliability of Bootstrapped Switches in Low Voltage Switched-Capacitor Circuits

One of the possible solutions to the low voltage applications of modern integrated circuit, which was widely demanded by recently developed submicron CMOS technology, is the bootstrapped switch technique. In order to overcome its drawbacks such like the reliability issue on the main signal switch during the clock transition, three different approaches were proposed in this paper along with the simulation results. The oxide lifetime can benefit from these modifications without much circuit degradation.
Boiler combustion optimization using multiobjective model predictive control based on multimodel strategy

This paper proposes the application of multiobjective model predictive control to achieve a dynamic optimization of boiler combustion system. The utopia point of the multi-objective model predictive control system is firstly calculated, and the optimal control sequence is then determined by finding the trade-off solution closed to the utopia point. By using this approach, the arbitrary weighting functions, which are generally used in the multi-objective model predictive control approach are not necessary, and moreover, the procedures of pareto front calculation and final solution decision in the conventional multi-objective optimization can be avoided. To deal with the nonlinear problem, multi-model strategy is involved to get a global model for optimization. Simulation results demonstrate the effectiveness of the proposed multi-objective model predictive control.
Ballast Water Treatment by Using Porous Ceramic Filter and UV Radition Combination

Biological invasion of ballast water has been detected to be a great threat to marine ecosystem and human beings. However, so far less suitable method has been developed to obtain an effective, economic, safe, operational and clean onboard treatment method of ballast water. Hence porous ceramic filtration and UV radiation (PCF&UV) combination treatment is studied in the paper to propose a novel way to solve the problem. Targeted for the IMO convention, alga removal efficiencies and bacteria inactivation efficiencies were tested at different alga density and different flow rate. The results showed that 100% targeted alga can be removed and 100% marine bacteria can be inactivated at the appointed alga density. Optimal flow rate of 7m3/h is proposed for a 6L porous ceramic filter according to the results. The mechanism behind high removal efficiencies and inactivation efficiencies were researched as well.
An image classification method based on a SK sub-vector multi-hierarchy clustering algorithm

To make image databases more effectively organized, we present a SK (sequence clustering plus the K-mean clustering) sub-vector multi-hierarchy clustering algorithm in this paper. It clusters images to numbers of classes automatically, according to human perception. It utilized HSV histograms, wavelet texture features, color-texture moments, a gray gradient co-occurrence matrix, and hierarchical distribution features, to put similar semantic images into the same set. The algorithm was effectively proven by experiments for automatic image clustering, for the clustering image categories have semantically similar properties. It could organize image database efficiency so as to improve image retrieval.
Polarization target detection algorithm based on instantaneous Stokes sub-vector

Firstly, the statistics of random polarized wave's instantaneous Stokes sub-vector is analyzed and its probability density function (PDF) is obtained. Secondly, the target detection problem is skillfully translated into the detection problem of three equivalent polarization signals. Thereby, a novel fusion detection algorithm is presented based on the difference statistical distribution of Stokes sub-vector between targets and clutters. Experimental results show that no matter the target is random polarization or invariable polarization, the algorithm is effective. Its performance can be comparative to that of the optimal polarization detector (OPD) and better than that of the polarization white filtering detector (PWF). Considering variable conditions of polarimetric measurements, it can be used more widely than the optimal polarization detector
An Improved Phase-Shifted Full-Bridge Converter With Wide-Range ZVS and Reduced Filter Requirement

The phase-shifted full-bridge (PSFB) converter is widely employed in high-power applications. However, circulating current, narrow range of zero-voltage switching (ZVS), duty-cycle loss, and secondary parasitic oscillation are the main drawbacks of the traditional PSFB converter. This paper proposes an improved full-bridge converter to solve the drawbacks of the traditional PSFB converter. In the proposed converter, a coupled inductor with three windings is introduced to adjust the available ZVS energy and to transfer power to the output side during freewheeling period. Due to this structure, output filter requirement, circulating current, the required ZVS energy, and secondary voltage oscillation can be reduced. Thus, the proposed converter can obtain higher conversion efficiency than the traditional PSFB converter. In this paper, the detailed operation principles and experimental results are presented.
One Kind of Catchment Reinforced Water Seepage Hoses Designment

The information network is a double-edged sword. On the one hand, it has enriched the content of the ideological and political education in college, and also expanded the horizons of college students. On the other hand, it makes the idea of college students become more complex and diversified. Thus, the non-mainstream ideology from internet seriously affects the mental health of college students, and leads to a series of social problems. Under the ground of the informatization, the ideological and political education should clear up the wrong ideologies, and cope with the severe challenges.
Research on Above Ground Marker System of Pipeline Internal Inspection Instrument Based on Geophone Array

The above ground marker system (AGM) is an important part of pipeline internal inspection instrument, which can reduce the mileage error and improve the positioning precision. A AGM based on geophone array was proposed aiming at increasing depth problem of the pipeline. It can record and amplify the sound of an approaching pipeline pig's cups striking the welds of a pipe to an easily discernible level. The seismic signals generated by the different targets around the pipeline were gathered. These signals were pre-processed and the targets features were extracted, by the EMD (Empirical Mode Decomposition) based signal feature extraction method, to identify different the targets. After estimating the time difference of signal arrival on different sensors by cross correlation-phase transform (GCC-PHAT) method , the the spacial location of internal inspection instrument can be realized, according to the time difference and relative position between the sensor array and the pipe. The proposed method above was verified through the outside simulated experiments and data analysis.
Image Segmentation Using Proportion of Foreground to Background Algorithm

The medical image is widely used in medicine diagnosis for the science-sound qualitative and quantitative analysis. To achieve a clear image, the technology of the image segmentation is the key point. Therefore, this paper proposes a new image segmentation approach using the proportion of foreground to background method. Based on the traditional grayscale image segmentation and the edge detecting method, the edge M1 of the original image is firstly extracted by Sobel operator templates in 8 directions. Secondly, the proportion of foreground to background in image M1 is calculated to find the threshold T in the iterative loop. Finally, the segmentation M2 is thus obtained according to the threshold T. Experiments with the human brain image indicate that the number of iteration steps for the threshold T is reduced. Also, the phenomenon of over-segmentation and the discontinuity from the traditional edge detecting algorithm can be avoided. The experimental results are provided to verify the proposed approach.
A Smart Hot Swap Controller IC design

A hot swap controller IC was designed to ensure the safe insertion and removal of a circuit board from a live backplane. Multi protections including that against inrush current as well as the short circuit, load glitches, over-voltage and under-voltage occurring of both board and backplane were proposed in this design. Due to introduction of the Analog, Bipolar, CMOS and DMOS (ABCD) compatible technology, its circuit structure was simplified while the high drive capability was attained. In addition, a high side switch driver controls the N-channel gate for supply voltages ranging from 4.5V to 16.5V. It consumes 18 mW at 12.0 V. During the design, the system architecture, circuit and layout was simulated and optimized. The final chip occupied 2.5 x 2.0mm2and was taped-out in NSC's 1.5um ABCD technology. Test shows that the expected functions was achieved and the main features met the requirements well.
Research on error modulating of SINS based on single-axis rotation

To weaken the influence of constant bias of inertial components on navigation precision of strap-down inertial navigation system (SINS), the error modulation method which utilizes the IMU four-position indexing is proposed in this paper. In addition, the main error source (constant drift of gyro and zero bias of accelerometer) of single axis rotating system is mainly analysed. In this new scheme, the errors of inertial sensors are modulated into periodically varied signal, as a result, the divergence of SINS errors is suppressed in long time operation. The navigation error is compared with no rotary manner via simulation. Analyses and simulation test show that the effect of the constant bias of sensors can be eliminated effectively, thus the accuracy of attitude and positioning can be greatly enhanced.
A high-resolution transform-domain adaptive digital filter

A novel transform-domain LMS (least mean square) adaptive digital filter based on the modified discrete Fourier transform is proposed. This filter has the advantages of high frequency resolution, fast convergence speed, and low computational complexity, especially for band-limited signals. The results of a computer simulation in which the adaptive digital filter was used for noise cancellation show that, with fewer computational requirements, the novel filter can achieve better convergence performance than a transform-domain LMS adaptive digital filter using the discrete Fourier transform.<<ETX>>
An Object-Oriented Simulation Model for Reliability of PMS with Time Redundancy

Phased-mission system (PMS) can have a number of mission phases with different system configurations of components. In engineering practice, there exist PMSs that have phases with time redundancy, meaning that the system is required to work in operational state for only a given duration of time within such phase, instead of all the phase duration like traditional PMS. For such complex PMS, it is not easy to evaluate its mission reliability by traditional analytical methods. This paper presents a simulation approach for PMSs with repairable components and time redundancy by object oriented system design. The simulation model is constructed by integrating different kinds of object components, including system component objects, phase objects and a PMS object. The attributes and operations of each object are described. Mission reliability evaluation is based on the event-scheduling simulation method that implemented by an event scheduler object. The proposed model has good modularity and clear structure. It can be applied to different kinds of PMS just by introducing related objects. The model and simulation results of a simplified PMS are given for illustrative purpose.