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    Inauguration of the “Bro. Martin Pendulum” Landmark 

    Assumption University. Vincent Mary School of Engineering (2020-11-11)
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    AU Scholarship Recipient’s Completion of his Electrical Engineering Degree 

    Assumption University. Vincent Mary School of Engineering (2020-09-02)
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    AU Engineering Student Bound for Switzerland for Exclusive Internship at HEIG-VD 

    Assumption University. Vincent Mary School of Engineering (2020-01-29)
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    Joint Venture in Commercial Aircraft Maintenance Study Program 

    Assumption University. Vincent Mary School of Engineering (2018-03-07)
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    AU Vincent Mary School of Engineering’s Last Orientation 2017 

    Assumption University. Vincent Mary School of Engineering (2018-04-30)
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    Decomposing BPC Permutations into Semi- Permutations for Crosstalk Avoidance in Multistage Optical Interconnection Networks 

    Veselovsky, Gennady; Jain, Ritu (2015)

    This paper introduces a simple O(N) algorithm that decomposes BPC (bit-permutecomplement) permutations into semi-permutations for avoiding crosstalk when realizing them in N × N optical multistage interconnection networks (OMINs). Crosstalk means that two optical signals, sharing an optical switch, undergo a kind of undesired coupling. A semipermutation is a partial permutation which meets the requirement for each switch in an input and output stages of the network to be used with only one optical signal at a time. It provides avoidin...
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    Damped Oscillator under Stokesian Realm and Added-Mass Effects 

    Jiradech Kongthon (2015)

    This article presents the modeling and simulations of a sphere that oscillates vertically in a high-viscosity liquid. The sphere is connected to a linear spring and given an initial displacement from the equilibrium position to allow free vibration and the sphere undergoes the inertia force, the spring force, the drag force, the buoyancy force, the gravity force, and the added-mass force. In general, the added-mass force is not considered in modeling an oscillator. In this article, the added-mass force is included in the modeling to ref...
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    Bidirectional Confidential with Bilateral Filter on Local Based Optical Flow for Image Reconstruction under Noisy Condition 

    Darun Kesrarat; Vorapoj Patanavijit (2015)

    More than a decade, Optical flow is relevant in many areas such as video coding and compression, robot vision, object tracking and segmentation, and super resolution reconstruction. By the result of the motion vector from optical flow, reduction the error stands a problem especially under noisy condition. Many models have been proposed to reduce the error and bilateral is one of the popular models. This paper introduces the model of bilateral filter in combination with bidirectional confidential over simple local based optical flow whe...
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    Performance and Comparative Exploration of Reconstructed Quality for An Iterative SRR Algorithm Based on Robust Norm Functions Under Several Noise Surrounding 

    Vorapoj Patanavijit (2014)

    The multi-frame SRR (Super Resolution Reconstruction) algorithm has become the significant theme in digital image research society in the last ten years because of its performance and its cost effectiveness hence many robust norm functions (both redescending and non-redescending influence functions) have been usually incorporated in the multi-frame SRR framework, which is combined a stochastic Bayesian approach and a regularization technique into the unify SRR framework. Consequently, this paper thoroughly presents experimental explora...
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    Performance Investigation on Bilateral Filter with Confidence Based over Spatial Correlation-based Optical Flow for Image Reconstruction 

    Darun Kesrarat; Vorapoj Patanavijit (2014)

    Optical flow in image sequences gives essential data on motion structure. It is relevant in several areas such as robot vision, video coding, and super resolution reconstruction. Even though this realm has been concentrated for more than a decade, reduction the glitch in estimation stands a difficult trouble. Many techniques were proposed to enhance the performance and one of the most is bilateral filter. This paper presents the performance study of bilateral filter and bilateral filter together with confidence based over spatial correl...
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    A Performance Impact of An Edge Kernel for The High-Frequency Image Prediction Reconstruction 

    Vorapoj Patanavijit; Chaiyod Pirak; Ascheid, Gerd (2014)

    As a rule, the performance of almost digital image processing (DIP) algorithms and these applications directly depends on the spatial resolution of observed input images. Unfortunately, from the current image sensor technology, it is hard to take sufficient high spatial resolution images from commercial devices therefore the fantastic research attempts and, consequently, simple digital image resolution enhancements have been boosted in the last decade. The high-frequency image prediction reconstruction is the simple and effective algori...
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    Empirical Exploration Achievement of Noise Removal Algorithm Based on Trilateral Filter for Both Gaussian and Impulsive Noise Ambiance 

    Vorapoj Patanavijit (2016-06)

    Although the Bilateral filter is one of the most realistic and virtuoso noise removal algorithms, which is often proposed for Gaussian noise in 1998, the Bilateral filter (BF) ineffectively works under the impulsive noise. Consequently, Trilateral filter (which is a modification Bilateral filter) was first proposed by Roman Garnett et al. in 2005 and this filter is based on the hybrid consisting of Bilateral filter and Rank-Ordered Absolute Differences (ROAD) statistic for automatically attenuating or excluding of Gaussian and impulsiv...
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    The Switching Bilateral Denoising Performance Influence of Spatial and Radiometric Variance 

    Kriengkri Langampol; Wilaiporn Lee; Vorapoj Patanavijit (2016-06)

    In this paper, we investigate the performance of switching bilateral filter (SBF) influenced by two parameters — radiometric variance ( R σ ) and spatial variance ( S σ ). The SBF can be used to filter Gaussian noise and impulse noise at the same time. For SBF, R σ and S σ are the two most important factors that affect increasing /decreasing the performance of SBF. Then, we investigate the influence of two parameters by varying their values from 1 to 100 and evaluate the performance of the de-noising for seven types of image under...
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