1,741,175 research outputs found
CLASSIFICATION OF FEATURE SELECTION BASED ON ARTIFICIAL NEURAL NETWORK
No full textPattern recognition (PR) is the central in a variety of engineering applications. For this reason, it is indeed vital to develop efficient pattern recognition systems that facilitate decision making automatically and reliably. In this study, the implementation of PR system based on computational intelligence approach namely artificial neural network (ANN) is performed subsequent to selection of the best feature vectors. A framework to determine the best eigenvectors which we named as ‘eigenpostures’ of four main human postures specifically, standing, squatting/sitting, bending and lying based on the rules of thumb of Principal Component Analysis (PCA) has been developed. Accordingly, all three rules of PCA namely the KG-rule, Cumulative Variance and the Scree test suggest retaining only 35 main principal component or ‘eigenpostures’. Next, these ‘eigenpostures’ are statistically analyzed via Analysis of Variance (ANOVA) prior to classification. Thus, the most relevant component of the selected eigenpostures can be determined. Both categories of ‘eigenpostures’ prior to ANOVA as well as after ANOVA served as inputs to the ANN classifier to verify the effectiveness of feature selection based on statistical analysis. Results attained confirmed that the statistical analysis has enabled us to perform effectively the selection of eigenpostures for classification of four types of human postures
Sadriddin Aini: Author, Scholar and Journalist
No full textBiography of Sadriddin Aini, a key intellectual and cultural figure in Tajikistan
Penerapan pembelajaran literasi dengan buku Bu Aini bercerita dan poems for two voices (PTV) untuk meningkatkan kemampuan menulis puisi
Full text linkPenelitian ini bertujuan untuk : (1) mendeskripsikan dalam penerapan pembelajaran literasi dengan Buku Bu Aini Bercerita dan pembelajaran kooperatif PTV dengan strategi pemetaan pikiran yang meliputi: (a) tahap pra menulis untuk membuat pemetaan pikiran dari Buku Bu Aini Bercerita yang telah dibaca, (b) tahap menulis untuk mendeskripsikan kata, frasa, menjadi larik puisi, bait puisi dan (c) tahap pasca menulis untuk membaca puisi; (2) meningkatkan kemampuan menulis puisi dengan memperhatikan tema yang tepat sesuai gambar pada Buku Bu Aini Bercerita yang dipilih dan dibaca, diksi yang tepat, pencitraan, bunyi rima, dan irama pada siswa kelas V SDN 3 Girimoyo
Lukisan Aini
No full textGadis kecil itu bernama Aini. Aini sangat rajin mengikuti kegiatan di Rumah Dunia, terutama padakelas membaca dan menggambar. Sebagai warga tak mampu, Aini merasa beruntung menjadi anggota Rumah Dunia. Maklum saja, orang tua Aini hanyalah pengumpul barang bekas. Untuk makan sehari-hari saja mereka harus banting tulang, apalagi untuk memberi peralatan gambar yang mahal buat Aini. Untunglahada Rumah Dunia, Aini bisa mewujudkan mimpinya di tempat itu. Semua peralatan gambar dan lukis disediakan gratis. Bahkan, Rumah Dunia mendatangkan Pak Indra, guru lukis sukarela yang siap mengajar seminggu sekali. Anak-anak diajarkan teknik menggambar oleh Pak Indra. Bukan main senangnya anak-anak.Saat diadakan omba gambar pendopo Rumah Dunia, lukisan Aini tidak masuk juara, namun hal itu tak membuatnya patah semangat. Aini terus berlatih tak kenal lelah. Hingga suatu saat diadakanlah demonstrasi menggambar di kantor Gubernuran. Seorang pejabat provinsi tertarik dengan lukisan Aini. Apa ya yang terjadi dengan lukisan Aini Kemudian? Yuk, kita ikuti saja ceritanya!144 hlm,; 14,8 cm x 21 c
Decision Boundaries and Classification Performance Of SVM And KNN Classifiers For 2-Dimensional Dataset
No full textSupport Vector Machines (SVM) and K-Nearest Neighborhood (k-NN) are two most popular classifiers in machine learning. In this paper, we intend to study the generalization performance of the two classifiers by visualizing the decision boundary of each classifier when subjected to a two-dimensional (2-D) dataset. Four different sets of database comprising of 2-D datasets namely the eigenpostures of human (EPHuman), the breast cancer (BCancer), the Swiss roll (SRoll) and Twinpeaks (Tpeaks) were used in this study. Results obtained confirmed SVM classifier superb generalization performance since it contributed the lower classification error rate when compared to the k-NN classifier during the training for binary classification of all 2-D datasets. This is evident and can be clearly visualized through the plots depicting the decision boundaries of the binary classification task
Sertifikat Keanggotaan Asosiasi Ahli Nutrisi dan Pakan Indonesia (AINI) 2015-2019 a.n Prof. Fauzia Agustin
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