644 research outputs found

    Implementation of Modified Median Filtering Algorithm for Salt & Pepper Noise Reduction on Image

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    Noise is one form of issue in the image, salt & pepper noise is the kind of noise that can be made using a special technique or also due to the conversion from analog signals to digital, the noise can be improved by using algorithms such as the mean filtering, the mid-point filtering and median filtering, median filtering algorithm is widely used for repair image quality, this article will discuss the modification of the median filtering to improve noise in the image by taking the average of neighboring pixels by 2 points from the value of the center clockwise, the value is taken to be processed to retrieve the value of the middle and then the overall result value will be divided to replace the center pixel value 3x3 spatial window

    Implementation of Modified Median Filtering Algorithm for Salt & Pepper Noise Reduction on Image

    No full text
    Noise is one form of issue in the image, salt & pepper noise is the kind of noise that can be made using a special technique or also due to the conversion from analog signals to digital, the noise can be improved by using algorithms such as the mean filtering, the mid-point filtering and median filtering, median filtering algorithm is widely used for repair image quality, this article will discuss the modification of the median filtering to improve noise in the image by taking the average of neighboring pixels by 2 points from the value of the center clockwise, the value is taken to be processed to retrieve the value of the middle and then the overall result value will be divided to replace the center pixel value 3x3 spatial window

    Robbi Rahim's Quick Files

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    The Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity

    PROCEEDING PUBLICATION EDUCATION – AUTHOR, ORGANIZER AND PUBLISHER VIEW

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    Materi ini menjelaskan beberapa publisher terindeks scopus dan juga beberapa contoh MOU terindeks Scopus/WOS</p

    Proceeding Publication Education – AUTHOR, ORGANIZER AND PUBLISHER VIEW

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    Slide ini merupakan materi yang di paparkan pada 2nd International Conference on Language, Literature and Education di Universitas Negeri Padang pada tanggal 22 Agustus 201

    Data security with international data encryption algorithm

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    Information security is very important nowadays, how to secure data certainly requires a technique one of which is the use of cryptography, IDEA algorithm is one of cryptographic algorithms that can be used to secure the message, and in this research IDEA algorithm process is displayed gradually to facilitate the development of IDEA algorithm in various purposes

    America's other Muslims: Imam W.D. Mohammed, Islamic reform, and the making of American Islam Black diasporic worlds./ Muhammad Fraser-Rahim.

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    Includes bibliographical references (pages 111-125) and index.Fraser-Rahim spotlights the emergence of an American school of Islamic thought, which was created and established by the son of the former Nation of Islam leader. W.D. Mohammed rejected his father's teachings and embraced normative Islam on his own terms while balancing classical Islam and his lived experience of Islam in the diaspora.Intro -- Contents -- Acknowledgments -- Preface -- Introduction -- 1. African American Islam in context -- 2. Taffakur ("to think, ponder, reflect"): Islam in West Africa and Islamic revivalism -- 3. Africanizing Dixie: the enslaved African Muslim experience and the Black American Islamic continuum -- 4. Imam W.D. Mohammed, the patron saint of American Islam: personality, intellectual teachings, and reformation -- 5. Walking with Brother Imam: the community of W.D. Mohammed as a counterweight to extremism -- Conclusion -- Glossary of terms -- Bibliography -- Index -- About the author.1 online resource (148 pages

    Ada yang…: pada yang bernama hati

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    Yang hanya terlihat yang hanya terzahir yang hanya memahami yang hanya mergerti oleh pemilik yang hakiki ya rahman ya Rahim allahu robbi Hanya Engkau yang mampu merawat Hanya Engkau yang mampu memulih Hanya Engkau yang mampu mengubat Hanya Engkau yang mampn menyantuni Hanya Engkau yang mampn menghidupka

    Evaluation of turbulence models for the prediction of flow properties in vegetated channels

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    The performance of turbulence models was investigated to predict the flow and turbulence features of the vegetated channel using computational fluid dynamics (CFD). The Ansys Fluent, CFD software was implemented for the numerical studies. The flow was three-dimensional, incompressible, steady, and turbulent. Ten turbulence models, provided by Ansys Fluent, were implemented for the comparative study. The numerical model was validated against an experimental study conducted in the literature. The numerical studies show that the Renormalization group k-ϵ model is the most successful model for predicting the flow characteristics of the vegetated channel with a Root Mean Square Error (RMSE) value of 0.2752. At the same time, the Reynolds Stress Model gives the least successful predictive performance, indicated by an RMSE value of 0.4302. Moreover, the Spalart-Allmaras (S-A) model offers the shortest computation time with a value of 6652.393 s, whereas the Shear Stress Transport k-ω model proves to be the most time-consuming with a value of 11 952.219 s. The velocity of water flow in a channel is not uniform as it is slower at the surface of leaves and faster in the free zones. The maximum velocity is observed in the middle section of the channel, below the leaf, and between the roots with the value of u = 0.1158 m/s. Furthermore, the characteristics of turbulence in a channel are influenced by several factors such as channel geometry, flow velocity, and vegetation distribution. As a result, the presence of vegetation in a channel affects the flow and turbulence characteristics of the water significantly. © 2024 Author(s)

    Identification of Hemorrhages in Iris Using Hybrid Morphological Method

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    In the field of ophthalmology, hemorrhage is the term used more often because of increasing diabetic patients. It’s a challenge amidst the ophthalmologist to distinguish the hemorrhage from the blood vessels, these lands in various problems. In the past various techniques were employed for the detection of the hemorrhage but they were not so accurate and often encountered misclassification between hemorrhage and blood vessels. Precise detection and classification of hemorrhage and blood vessel is very important in the diagnosis of many problems. This paper depicts a mechanized procedure for recognizing hemorrhages in fundus pictures. The acknowledgment of hemorrhages is one of the critical factors in the early finish of diabetic retinopathy. The algorithm proceeds through several steps such as image enhancement, image subtraction, morphological operations such as image thresholding, image strengthening, image thinning, erosion, morphological closing, image complement to suppress blood vessels and to highlight the hemorrhage
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