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Post-database searching is a key procedure for peptide spectrum matches (PSMs) in protein identification with mass spectrometry-based strategies. Although many machine learning-based approaches have been developed to improve the accuracy of peptide identification, the challenge remains for improvement due to the poor quality of data samples. CRanker has shown its effectiveness and efficiency in terms...
Removing undesired reflections from a photo taken in front of a glass is of great importance for enhancing the efficiency of visual computing systems. Various approaches have been proposed and shown to be visually plausible on small datasets collected by their authors. A quantitative comparison of existing approaches using the same dataset has never been conducted due to the lack of suitable benchmark...
In recent years, opportunities to take pictures have increased, and so techniques for removing deterioration in photographed images such as blurring have become necessary. In the previous research, we proposed a method using total variation regularization and a shock filter and showed its effectiveness. However, it has been confirmed that the restoration performance is lowered depending on the images...
In this paper, an adaptive adjustment method for the kernel parameter used in the kernel adaptive filters (KAFs) is proposed. The KAF is one of the linear-in-the-parameters (LIP) nonlinear filters, and is based on the kernel method used in machine learning. Typically, the Gaussian kernel function is used, but there is no effective method for automatically adjusting its parameter that influences the...
In this paper, because of infinite-dimensional feature and complex nonlinearities of the distributed parameter systems, a new data-driven modeling method has been proposed. The temporal-spatial output of the system is measured at a finite number of spatial locations. At the same time it is assumed that the input of the system is a temporal variable. Firstly, Karhunen-Loève(KL) decomposition is used...
This work addresses the task of non-blind image deconvolution. Motivated to keep up with the constant increase in image size, with megapixel images becoming the norm, we aim at pushing the limits of efficient FFT-based techniques. Based on an analysis of traditional and more recent learning-based methods, we generalize existing discriminative approaches by using more powerful regularization, based...
The paper demonstrates the possibility of the Newton-Kantorovich method application to numerically solve the Volterra polynomial integral equations of the first kind. The specific features of the studied nonlinear equations make it possible to specify an initial approximation for the iteration process represented by solving the respective Volterra linear equations of the first kind. The method convergence...
Adaptive dynamic programming (ADP) is a prevalent way to solve the coupled Hamilton-Jacobi-Bellman (HJB) equations of the optimal consensus control for multi-agent systems (MAS). Neural networks (NNs) are normally used to approximate the value functions in ADP. However, NNs with manually designed features may influence the approximation ability. In this study, kernel-based methods which do not need...
This paper designs a boundary controller for a reaction-advection-diffusion equation on the cylindrical surface with input delay. We introduce a transport partial differential equation (PDE) to remove the input delay by transforming the time delay into a spatial travelling. Then the system with time delay turns to a cascade system composed of two PDEs without delay. For the cascade system, we design...
With wafer fabs running at near full capacity, it is a constant challenge to maintain high yields. Many different products are fabricated by the same equipment. So the sudden change in product yield, a yield excursion, can have a significant impact to many different products. Therefore, it is critical to detect an excursion as early as possible and fix the cause in order to minimize the impact. This...
In the distillation process, many important process variables are often difficult to be measured online. For example, the aviation kerosene is an important index of operation quality, but current methods cannot obtain the real-time value of the aviation kerosene efficiently. To solve this problem, a method of selecting the input variable based on partial least squares regression (PLS) is proposed...
In order to improve the posture estimation accuracy of small ship, a regularized particle filter based on multidimensional autoregressive model (MARM) is proposed in this paper. The small ship has the characteristics of nonlinear stochastic dynamical systems. Particle filter algorithm has been proposed to deal with nonlinear problems for many years. Although it is effective, two problems often arise:...
The low noise amplifier (LNA) is a significant device in RF front-end. In this paper, a straight and efficient modeling method for LNA based on the Volterra series with recursive least squares (RLS) algorithm is proposed. Instead of calculating the high nonlinearity order of Volterra kernels, the proposed method extracts the first three order Volterra kernels characterizing the memory effect to construct...
We discuss the feasibility of an in-house Schrödinger equation solver on the Intel Broadwell Xeon processor with a built-in FPGA, with a particular focus on the performance of large-scale sparse matrix-vector multiplication (SpMV) that is the core numerical operation of electronic structure simulations for multi-million atomic systems. The double-precision SpMV section in our solver is offloaded to...
The dynamics of linear diffusion processes can be modelled by multi-dimensional transfer functions in a spatiotemporal frequency domain. Finite spatial domains with simple and impedance type boundary conditions are possible. The resulting discrete time synthesis algorithm captures the essential behaviour with a restricted number of modes. Dynamic diffusion processes are of interest for molecular communication...
The main challenge in the application of the Functional Transformation Method is the determination of the transformation kernels for the forward and inverse Sturm-Liouville transformation. This paper presents a straightforward way for their calculation from the eigenfunctions and eigenfrequencies of the underlying physical system. The proposed form of the eigenfunctions is based on a beneficial representation...
It is non-trivial to optimise computations of chaotic systems since slightly perturbed simulations diverge exponentially over time due to the well-known butterfly effect if bit-reproducible results are not achieved. Therefore, two model setups that show the same quality in the representation of a chaotic system will show uncorrelated behaviour if integrated long enough, hence it is challenging to...
Widely used benchmarks, such as High Performance Linpack (HPL), do not always provide direct insights are notoriously poor indicators of into the actual application performance of systems. When real applications are used, and there have been are criticisms indicating that the performance of simplified benchmarks such as HPL no longer strongly correlate to real application performance. In contrast,...
The cost of maintaining an application code would significantly increase if the application code is branched into multiple versions, each of which is optimized for a different architecture. In this work, default and vector versions of a realworld application code are refactored to be a single version, and the differences between the versions are expressed as userdefined code transformations. As a...
A new method of constructing nonparametric dynamic model of the human oculomotor system on the basis of experimental data “input-output” is developed, considering nonlinear and inertial properties of the rectus muscles of the eye. A technology for tracking eye movement is based on the videos. It is possible to determine the dynamic characteristics of the oculomotor system functions as a transition...
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