nils-herrmann/clean_scirepeval huggingface dataset:
New linear-programming-based filter design

It is well known that the filter-design problem with mask constraints can be formulated as a semi-infinite program. There are two approaches toward the solution of this semi-infinite program. The first griding approach relaxes the semi-infinite constraint by refining it in the finite griding domain so it does not always guarantee global optimal and feasible solution. The second semi-definite programming (SDP)-based approach does guarantee the global optimal solution and excellently handles positive real constraints. However, the magnitude constraints are still persistent and not yet handled by SDP tool in an efficient manner. In this brief, a new tight polyhedral approximation for semi-infinite constrained domain is proposed. Based on it, we present a new linear-programming-based solution method for filter design, which unlike the griding approach yields global solution and unlike SDP based approach is practical for even long-tap filters. Simulation results confirm the viability of the proposed method.
Video super-resolution for mixed resolution stereo

Mixed resolution stereoscopic coding is a compression method that reduces the bandwidth of stereo video by transmitting one of the two views at a lower resolution. While the visual system weights the sharper view more heavily resulting in a nearly fully sharp 3D percept, certain applications require, or would benefit from, having both views at full resolution. In this paper, we present a super-resolution method that recovers the lost frequency information in mixed resolution stereo video by exploiting stereo correspondence while emphasizing spatial, temporal, and spectral consistency. Our method is distinguished by operating on video modeled as a 3D Markov network, whereas previous approaches focused solely on images.
Compression Artifact Reduction using Support Vector Regression

In this paper, we propose a compression artifact reduction algorithm based on ν support vector regression. It belongs to the broad family of regularized reconstruction methods but regularization model is learned from a set of training samples of original images and corresponding noise corrupted version. As opposed to artifact reduction methods specific to each type of compression artifact (e.g. blocking, ringing etc), we treat such different artifacts as symptoms of the same problem, quantization of DCT coefficients. In the testing step, algorithm tries to undo the effect of quantization using information (relationship between original and artifact-corrupted image) learned during the training step. Experimental results exhibit significant reduction in all types of compression artifacts.
A multi-objective, multi-product and multi-transportation mode sustainable closed-loop supply chain network design

This research developed a mixed-integer mathematical model for a generic closed-loop supply chain network design (SCND), optimizing all three inherent dimensions of sustainability, namely, cost, environmental, and social impact, simultaneously. The proposed novel hybrid model is designed for a single period and takes into account some real-life characteristics of SC implementation such as multi-echelons, multi-products and multi-transportation modes. The weighted sum approach is used to solve that model on GAMS/CPLEX solver. In addition, the numerical testing is carried out in the case of an automotive SCND in UK Mercedes-Benz Car to test the validity of the proposed model. The result shows that the obtained solution is Pareto-optimal as it provides a ‘fair’ compromise for conflicting trade-offs between cost, environmental, and social objectives.
Local Disparity Estimation With Three-Moded Cross Census and Advanced Support Weight

The classical local disparity methods use simple and efficient structure to reduce the computation complexity. To increase the accuracy of the disparity map, new local methods utilize additional processing steps such as iteration, segmentation, calibration and propagation, similar to global methods. In this paper, we present an efficient one-pass local method with no iteration. The proposed method is also extended to video disparity estimation by using motion information as well as imposing spatial temporal consistency. In local method, the accuracy of stereo matching depends on precise similarity measure and proper support window. For the accuracy of similarity measure, we propose a novel three-moded cross census transform with a noise buffer, which increases the robustness to image noise in flat areas. The proposed similarity measure can be used in the same form in both stereo images and videos. We further improve the reliability of the aggregation by adopting the advanced support weight and incorporating motion flow to achieve better depth map near moving edges in video scene. The experimental results show that the proposed method is the best performing local method on the Middlebury stereo benchmark test and outperforms the other state-of-the-art methods on video disparity evaluation.
A Low-Complexity Message-Passing Algorithm for Reduced Routing Congestion in LDPC Decoders

A low-complexity message-passing algorithm, called Split-Row Threshold, is used to implement low-density parity-check (LDPC) decoders with reduced layout routing congestion. Five LDPC decoders that are compatible with the 10GBASE-T standard are implemented using MinSum Normalized and MinSum Split-Row Threshold algorithms. All decoders are built using a standard cell design flow and include all steps through the generation of GDS II layout. An Spn = 16 decoder achieves improvements in area, throughput, and energy efficiency of 4.1 times, 3.3 times, and 4.8 times, respectively, compared to a MinSum Normalized implementation. Postlayout results show that a fully parallel Spn = 16 decoder in 65-nm CMOS operates at 195 MHz at 1.3 V with an average throughput of 92.8 Gbits/s with early termination enabled. Low-power operation at 0.7 V gives a worst case throughput of 6.5 Gbits/s-just above the 10GBASE-T requirement-and an estimated average power of 62 mW, resulting in 9.5 pj/bit. At 0.7 V with early termination enabled, the throughput is 16.6 Gbits/s, and the energy is 3.7 pJ/bit, which is 5.8× lower than the previously reported lowest energy per bit. The decoder area is 4.84 mm2 with a final postlayout area utilization of 97%.
A novel and efficient design of multidimensional PR two-channel filter banks with hourglass-shaped passband support

In this letter, we propose a new design technique for two-dimensional two-channel maximally decimated perfect reconstruction (PR) filter banks with hourglass-shaped spectral support. The proposed approach is different from the conventional design techniques in the sense that it does not require any modulator. Furthermore, the proposed design retains the separable filtering property, while ensuring that the overall system is structurally PR and maximally decimated. Moreover, we extend such structure to higher dimensional case and discuss several interesting properties. A design example is given to demonstrate the effectiveness of the proposed approach.
Tubulo — A train-like miniature inspection climbing robot for ferromagnetic tubes

A train-like miniature climbing inspection robot for ferromagnetic tubes is presented in this paper. Using magnetic wheels, it climbs in tubes of 25 mm of diameter and bigger in any orientation, and pass bends with curvatures above 150 mm in some cases. It has embedded electronics and energy, and can transmit images through a cable. Applications are in tubes inspections as found in power plant boilers for example.
A multiresolution directional filter bank for image applications

We propose a new formulation of directional filter banks (DFBs). By using a non-uniform and non-separable filter bank, a critically sampled multiresolution directional image representation can be obtained efficiently. The resulting DFB yields non-uniform frequency division which is composed of one lowpass channel with a decimation factor of one-fourth and six highpass directional channels with a decimation factor of one-eighth. It overcomes the limited directional selectivity of separable wavelets and the limited resolution of the conventional DFB. The lowpass channel can be used to obtain multiresolution representation by simply re-iterating the same DFB decomposition. On the other hand, the directional subbands can be further refined by simply applying a two-channel DFB at each highpass channel. A simple design method yielding near orthogonal uniform and non-uniform multidimensional filter banks is discussed, and, finally, a numerical experiment is presented to demonstrate the potential of the new image basis.
A No-Reference Perceptual Based Contrast Enhancement Metric for Ocean Scenes in Fog

In this paper, we develop a perceptually based contrast enhancement metric as a means to solve the problem of autonomously enhancing images degraded by fog that are perceptually pleasing to humans. A learning based approach is considered to develop the contrast enhancement using human observations and low-level contrast enhancement metrics based on the human vision system. In addition, we provide new low-level metrics based on the physics of the scene to improve the performance of existing contrast enhancement metrics. This paper shows that a contrast enhancement metric can be designed to mimic human preference.
Wideband Fabry–Perot Antennas Employing Multilayer of Closely Spaced Thin Dielectric Slabs

In this letter, a method to design wideband Fabry–Perot resonator (FPR) antennas is presented. The structure employs closely spaced truncated thin dielectric slabs as a partial reflecting surface (PRS). An analytical design process based on transmission line theory is proposed. The criterion for wideband FPR antennas is generalized for a highly truncated PRS, i.e., the PRS only needs to exhibit a resonance at the center frequency of the band. Based on the finding, a compact FPR antenna is optimized and experimentally validated with a wide 3 dB gain bandwidth of about 86% and maximum realized gain of 14.2 dBi.
Cross-Layer Optimization for Video Communication Over AWGN Channel

In this paper, cross-layer optimization approach is applied from video coding to the physical layer through media access control (MAC) layer. We mainly focus on resource allocation of source code rate and channel code rate with optimal MAC frame length. Therefore, elaborate mathematical models are derived to represent end-to-end distortion of video streams and 802.1 la-like MAC and PHY with automatic repeat request (ARQ) and rate compatible punctured convolutional code (RCPC) over additive white Gaussian noise (AWGN) channel. These models are formulated as a convex optimization problem, and it is solved by the dual decomposition method. From a numerical example, significant reduction of overall distortion can be achieved.
A solution of obstacle collision avoidance for robotic fish based on fuzzy systems

This paper is addressed in fuzzy decision made to change on trajectory direction of robot's path. The generation of membership functions for fuzzy systems is a challenging problem. While robotic fish is swimming in the environment with a high potential of hurdles, it is possible for them to meet with collisions because there are many kinds of obstructions in water. Therefore, approaching natural and smooth movements for robotic fish is related to the detecting and recognizing obstacles as well as trying to avoid any kind of collision. Two fundamental data are the measuring of distance from sensor to obstacles and the possible existence of obstacles. Because the data is nonlinear, they can be solved with the fuzzy trajectory direction. The changing direction of trajectory of a robot should be made so that the robot can move in the direction with no hurdles. The experimental results indicate that robotic fish changes the trajectory planed following the proposed fuzzy decision results within the higher obstacles density without collision.
Real-orthogonal STBC representation using filter banks

In this paper, we propose to study the relationship between filter banks (FB) and real space time block codes (STBC). From the FB perspective, in order to decode the symbol, we will show that the corresponding FB must have perfect reconstruction (PR) property. Then we consider the problem of implementing a nonrate-one code where its entries may contain algebraic number. In order to reduce the complexity, we propose a method to approximate this STBC using finite word length while preserving the orthogonality condition.
A family of lapped regular transforms with integer coefficients

Invertible transforms with integer coefficients are highly desirable because of their fast, efficient, VLSI-suitable implementations and their lossless coding capability. In this paper, a large class of lapped regular transforms with integer coefficients (ILT) is presented. Regularity constraints are also taken into account to provide smoother reconstructed signals. In other words, this ILT family can be considered to be an M-band biorthogonal wavelet with integer coefficients. The ILT also possesses a fast and efficient lattice that structurally enforces both linear-phase and exact reconstruction properties. Preliminary image coding experiments show that the ILT yields comparable objective and subjective performance to those of popular state-of-the-art transforms with floating-point coefficients.
Characterization of the scattered field by an urban area in the X-frequency band for bistatic and monostatic radar configurations

The application of the ray-tracing technique in combination with the asymptotic method Uniform Theory of Diffraction (UTD) for an analysis of the electromagnetic (EM) wave propagation in urban areas is presented. The frequency of the study is in the X-frequency band from 8 to 12 GHz but can be applied for Ku-band and a three-dimensional model of the geometry is proposed. The transmitter and receiver can be separated to present both bistatic and monostatic configurations. At the end of the work, we evaluate the amplitude and the phase of the far field diffracted by urban scenarios.
Nonlinear System Modeling Based on Non-Parametric Identification and Linear Wavelet stimation of SDP Models

This paper describes a data-based approach to the identification and estimation of nonlinear dynamic systems which exploits the concept of the state dependent parameter (SDP) model structure. The major attractive features of the proposed approach are the initial identification of the nonlinear system's structure that analyzes the nature of the associated nonlinearities by the non-parametric estimation of the SDP model using recursive fixed interval smoothing; and a compact parameterization of this initially identified parsimonious model structure via a linear wavelet functional approximation, prior to final parametric optimization. A simulation example is used to demonstrate the proposed approach
Proton Beam Writing micro fabrication system for micro chemical devices

The authors have been developing a flexible micro fabrication system using Proton Beam Writing (PBW) for micro chemical devices. The system enable to fabricate the various kind of shape in XY stage, increase the productivity and meet the requirement of fabricate in the centimeter ranger. The flexible system transforms licensed 3D CAD (Computer Aided Design) data to pattern data that is used to control the XY stage of the PBW system. The experimental results showed a brightly future of proton beam in micro fabrication.
Surface morphological and electrical characterization of thin film CdSe/P3HT composite layer for bulk hetero-junction solar cells

A blend of cadmium selenide quantum dots with conjugated polymer poly (3-hexylthiophene-2,5-diyl) (P3HT) was investigated as an active layer for the bulk hetero- junction solar cell. The surface morphology of composite active layer was controlled and investigated in relation to the bulk hetero-junction solar cell performance. Use of a binary solvent was intensively studied to improve the surface morphology. Smooth and uniform active layer surface could be obtained at optimum binary solvent composition with controlled drying process. The active layer sheet resistance was measured by using the transmission line method (TLM), and it was found that the percolation pathway for charge carrier transport could be developed above the threshold CdSe loading concentration
Patch Matching for Image Denoising Using Neighborhood-Based Collaborative Filtering

We consider patch matching as a recommendation system problem and introduce a new patch-matching approach using nearest neighbor-based collaborative filtering (NN-CF). Our approach involves recommending similar patches to a query patch with the help of other similar patches in a noisy image or an external database. Using user-oriented and item-oriented formulations of NN-CF, we present two variations of CF-based patch-matching criterion. To demonstrate the superior matches found with our method, we apply the new patch-matching scheme to patch-based image denoising and evaluate its effect on the denoising performance. We test the methods on two data sets with varying background and image complexities and under different levels of noise. The proposed method not only improves robustness to patch matching but also provides a new formulation to seamlessly combine internal and external denoising.
Jointly Optimal Precoding/Postcoding for Colored MIMO Systems

The problem of designing a jointly optimal linear precoder and decoder for a multiple-input multiple-output (MIMO) channel has received much interest recently. However, most existing works only deal with white input signal. When the input signal is colored, prewhitening and its inverse operation are often applied prior to precoding and after decoding, respectively. Consequently, the precoder and decoder are no longer optimal with respect to the original colored signal. In this paper, we propose a closed-form solution for optimal linear precoder and decoder for colored input signal. Our approach is based on minimizing the symbol mean squared error under an average output power constraint, and is applicable to both MIMO flat fading and frequency selective fading channels. Simulations show the advantage of our solution over prewhitening-based method
Quality Enhancement for Motion JPEG using Temporal Redundancies

We propose a post processing algorithm to enhance the quality of motion JPEG (MJPEG) by exploiting temporal redundancies. The error between the estimated and original blocks is analyzed using the translational relation in the discrete cosine transform (DCT) domain. The proposed algorithm permits reconstructing the high frequency coefficients lost during quantization and therefore reduces the ringing artifact. Blocking artifact reduction is verified by the decrease in the variance of this coefficient error. Results in quality and PSNR improvement for both cases of integer and sub-pixel motion vectors are verified by simulations on video sequences.
Variable-delay dyadic wavelets

Signal processing based on the wavelet transform is a new tool for signal approximation. It finds applications in signal compression, adaptation, classification and enhancement. The overall delay in a conventional wavelet system is fixed since it depends on the symmetry point of a linear-phase halfband filter. In this paper, we introduce the theory and design of a new filter bank and wavelet system where the overall delay can be any odd integer. The resulting wavelet is biorthogonal. This new wavelet is crucial in applications where the delay time is important.
High frame rate Motion Compensated Frame Interpolation in High-Definition video processing

Numerous MCFI methods have been proposed to increase the frame rate in the past ten years. However, these methods usually focus on how to double the frame rate and involve complex computation, complicated time-consuming iterations, and are difficult to implement for real-time High-Definition (HD) videos. In this paper, a fast one-pass processing method is proposed for high Motion Compensated Frame Interpolation in HD videos. This approach is based on our basic MCFI scheme, slightly increases complexity, and achieves 4x Frame Rate Up Conversion. Relative Motion Estimation (RME) is also proposed to enhance the accuracy of motion search.
Research and Applying Computer Vision for Controlling the School of Fish Robots Using Swarm Model

Applying computer vision for control the school of fish robots (SFR) using swarm model is a new direction. In this paper, the computer vision was studied for control a SFR using swarm model. The computer vision will return the framework and an algorithm was used to take the real position for every member. In the swarm model, every member has to solve a problem and combination together to get the target of the swarm. Combination is a complex problem, because the school want to solve a problem together, they have to combine the velocity, acceleration, force, direction. Moreover, the swarm fish robot will using computer vision to solve a problem, and the proposed problem is moved the chunk of wood (CW) on the straight line from point to point. At every time, to depend on CW position in the framework, every member will have suitable actions to get the target. Every member has to swim combination of direction, velocity, acceleration and force together to give a total of forces on the CW, and this total of forces have a straight direction to take the CW flowing on the straight line. With the proposed theory and algorithms, the scholar have designed a school of three fish to research and confirmed by experimental results.
Electromagnetic interference assessment of CDMA and GSM wireless phones to aircraft navigation radios

A radiated emission measurement process for CDMA (IS-95) and GSM (ETSI GSM 11.22) wireless handsets was developed. Spurious radiated emissions were efficiently characterized from devices tested in either a semi-anechoic or reverberation chamber, in terms of effective isotropic radiated power. Eight representative handsets (4 GSM, 4 CDMA) were commanded to operate while varying their radio transmitter parameters (power, modulation, etc.). The measurement process and resulting data may subsequently be used by others as a basis of consistent evaluation for cellular/PCS phones, Bluetooth, IEEE802.11b, IEEE802.11a, FRS/GMRS radios, and other portable transmitters. Aircraft interference path loss (IPL) and navigation radio interference threshold data from numerous reference documents, standards, and NASA partnerships were compiled. Using this data, a preliminary risk assessment is provided for CDMA and GSM wireless phone interference to aircraft localizer, Glideslope, VOR, and GPS radio receivers on typical transport airplanes. Existing data for device emissions, IPL, and navigation radio interference thresholds needs to be extended for an accurate risk assessment for wireless transmitters in aircraft.
Maximum likelihood parameter estimation for image ringing artifact removal

At low bit rates, image compression codecs based on overlapping transforms introduce spurious oscillation known as ringing artifacts in the vicinity of major edges. The image quality can be enhanced considerably by removing the artifacts. We present a maximum likelihood approach to the ringing artifact removal problem. Our approach employs a parameter estimation method based on the k-means algorithm with the number of clusters determined by a cluster separation measure. The proposed algorithm and its simplified approximation are applied to JPEG2000 compressed images to demonstrate their effectiveness.