1,721,379 research outputs found
PREFIKS {MENG-} DI MEDIA SOSIAL TWITTER
Full text linkABSTRAK
Safira Salsabila Mahesarani. 2022. “Prefiks {Meng-} Di Media Sosial Twitter”. Jurusan Sastra Indonesia. Fakultas Ilmu Budaya. Universitas Andalas, Padang. Pembimbing I, Prof Dr. Nadra, M.S. dan Pembimbing II, Dra. Sri Wahyuni, M.Ed.
Masalah penelitian ini adalah apa saja bentuk dasar yang dapat bergabung dengan prefiks {meng-} di media sosial Twitter dan apa fungsi pembentukannya? Apa makna gramatikal dari penggunaan prefiks {meng-} di media sosial Twitter setelah bergabung dengan bentuk dasar? Penelitian ini bertujuan untuk menjelaskan bentuk dasar yang dapat bergabung dengan penggunaan prefiks {meng-} di media sosial Twitter dan fungsi pembentukannya, serta menjelaskan makna gramatikal dari penggunaan prefiks {meng-} di media sosial Twitter setelah bergabung dengan bentuk dasar.
Pada tahap penyediaan data, digunakan metode simak dengan menggunakan teknik dasar sadap dengan teknik lanjutan Simak Bebas Libat Cakap (SBLC). Pada tahap analisis data, digunakan metode padan dan metode agih. Metode padan yang digunakan yaitu padan referensial dan translasional dengan teknik dasar teknik Pilah Unsur Penentu (PUP) dan teknik lanjutannya yaitu teknik Hubung Banding Membedakan (HBB). Metode agih menggunakan teknik dasar Bagi Unsur Langsung (BUL) dengan teknik lanjutan teknik ganti dan teknik perluas. Adapun pada tahap penyajian hasil analisis data, digunakan metode penyajian secara formal dan informal.Adapun pada tahap penyajian hasil analisis data, digunakan metode penyajian secara formal dan informal.
Berdasarkan hasil analisis data, terdapat beberapa kategori bentuk dasar yang bergabung dengan prefiks {meng-} di media sosial Twitter, yaitu verba, adjektiva, nomina, pronomina, numeralia, adverbia, interogativa, dan interjeksi. Selain itu, juga terdapat bentuk dasar prakategorial dan bentuk dasar berupa kependekan, yaitu berbentuk singkatan dan akronim. Fungsi dari prefiks {meng-} di media sosial Twitter setelah bergabung dengan bentuk dasar yaitu dapat mengubah kategori kata dan tidak dapat mengubah kategori kata. Prefiks {meng-} di media sosial Twitter setelah bergabung dengan bentuk dasar memiliki beberapa makna gramatikal, yaitu menyatakan makna ‘sedang melakukan sesuatu’, menyatakan makna ‘menjadi seperti keadaan yang tersebut pada bentuk dasarnya atau makna ‘proses’, menyatakan makna ‘terbagi atas’, menyatakan makna ‘perbuatan yang dilakukan berulang-ulang yang ditunjukkan kepada’, menyatakan makna ‘menjadi seperti suatu hal’, menyatakan makna ‘dalam keadaan atau merasakan sesuatu’, menyatakan makna “setuju terhadap sesuatu’, menyatakan makna ‘melihat sesuatu’, menyatakan makna ‘menuju ke sesuatu, menyatakan makna ‘menyerukan sesuatu’, dan menyatakan makna ‘menunjukkan sesuatu atau hal dari bentuk dasar, menyatakan makna ‘menegaskan sesuatu dari bentuk dasar atau makna leksikal dari bentuk dasar’. Selain itu ditemukan makna kontekstual, yaitu makna ‘menjadi-jadi/melonjak/meningkat’, ‘menjadi penggemar atau mengagumi seseorang’ dan ‘tidur’.
Kata Kunci: Prefiks, {meng-}, Media Sosial, Twitter, makn
On distinctiveness in ear biometrics
No full textEar biometrics have developed rapidly in last decade. Ears have distinct advantages over face and fingerprint, such as invariant structure over time, and ear images can be captured without subject’s participation. There are also some considerations when ears are used as a biometric, such as rotation variance, varying illumination and occlusion by hair. Wider application has been hindered by these problems. Previous works show that human ears can be used for identification, gender classification, and age classification. In this thesis, we propose a new model-based approach to ear biometrics, which contains geometric features based on ear anatomy. The keypoints of our model are determined by scale-invariant feature transform (SIFT), and we consider the rotation of ear images under an affine transformation, by modelling the ear as a flat plane attached to the head. Then, we extend our model with image pre-processing step that using the force field transform to remove the noise.We apply the model and fine-tuned convolutional neural networks on ear recognition, gender classification and ear symmetry. In ear symmetry, we address the question as to whether it is possible that given an image of one ear, a person can then be recognized from his/her other ear. Such a symmetry-based strategy could reduce constraints on applications of ear biometrics. To investigate symmetry, we compare one ear with a mirrored version of the other ear.In addition, we consider the important parts of ear recognition, gender classification and ear bilateral symmetry on ear images, in these three cases we aim to determine the ear parts from which recognition is derived. For analysing the model-based, we use accuracies of different ear regions to evaluate the significant parts for ear recognition, gender classification and ear symmetry. Moreover, we are the first to apply the heatmaps on ear images to determine the contributions of different parts of ear, and this is the first study to analyse the differences between male and female. Also, we have compared the model-based method with deep learning, and the contributions of different parts based on different approaches.Furthermore, we are the first to exploit ear for kinship verification, and we collect SOTEAR dataset for the kinship verification experiments. We compare the influence of father with that of mother by the accuracies of kinship verification
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are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
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Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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No full textMany studies in biometrics have shown how identity can be determined, including by images of ears. We show we can model an ear and how the gender appears to often be manifest in the ear structures, as is kinship or family relationship. We describe a new model-based approach for viewpoint correction and ear description to enable this analysis. We show that with the new technique having satisfactory basic recognition capability (recognizing individuals with performance similar to state of art), gender can achieve 67.2% and kinship 40.4% rank 1 recognition on ears from subjects with unconstrained pose
On distinctiveness and symmetry in ear biometrics
No full textPrevious works show that human ears can be used for identification, gender classification, and kinship verification and have investigated whether there is a symmetry between a person’s ears; however, the symmetry performances have been less than satisfactory. Our paper extends the analysis of gender classification on ear images and analyses bilateral symmetry of human ears, in both cases aiming to determine the ear parts from which recognition is derived. We use model-based analysis and deep learning methods to capitalize on structure and performance, respectively. We consider the rotation of ear images under an affine transformation, by modelling the ear as a flat plane attached to the head. We address the question as to whether it is possible that given an image of one ear, a person can then be recognized from their other ear. Such a symmetry based strategy could reduce constraints on applications of ear biometrics. We show that it is possible to recognise the gender with a 90.9% success rate and that the ear rim (the upper helix and lobe) dominates performance. To investigate symmetry, we compare one ear with a mirrored version of the other ear and achieve 93.1% CCR, which is the current state-of-the-art, with important regions different from those determined for gender. To extend the analysis we construct two groups of images, one of which contains both ears from the same subject and the other contains two ears from different subjects. The 100% CCR confirms the existence of symmetry between a subject’s ears. By these approaches we show that there is actually a high chance that there exists symmetry between a person’s ears and that it would be prudent for recognition systems to concentrate on the inner ear rather than the outer ear
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use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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