1,721,007 research outputs found
Implementasi Metode PCA – K Nearest Neighbour untuk Deteksi Golongan Kendaraan Berdasarkan Jumlah Pasang Gandar
No full textDetection of vehicle type based axle allow to do classify vehicle based on the load that will carried by the vehicle. However at this time, classification of heavy vehicle types based on axles is still carried out by humans. In here research, author use image processing for classification of vehicles class with PCA-K Nearest Neighbour Method. The reason for choosing this algorithm is because previous research use K-Means Clustering have a same formula with K-Nearest Neighbour. The data used is the image captured from the video camera processed by background subtraction method to separate moving object namely vehicle with its background. PCA method is required to obtain eigen vektor from vehicle and reduce its dimensions. Meanwhile, for classification author tries to use classification algorithm of K-Nearest Neighbour. To detect vehicle axles author use Circular Hough Transform method. The Testing Result shows detect vehicle type use PCA-K Nearest Neighbour method with value of K=1 has an accuracy 90%.Deteksi golongan kendaraan berdasarkan gandar memungkinkan untuk melakukan klasifikasi kendaraan berdasarkan beban yang akan di bawa oleh kendaraan tersebut. Namun pada saat ini, klasifikasi jenis kendaraan berat berdasarkan gandar masih dilakukan oleh manusia. Dalam penelitian ini, penulis menggunakan pengolahan citra untuk klasifikasi golongan kendaraan dengan metode PCA-K Nearest Neighbour. Alasan pemilihan algoritma ini adalah karena penelitian sebelumnya menggunakan algoritma K-means Clustering memiliki rumus yang sama dengan K-Nearest Neighbour. Data yang digunakan adalah citra yang ditangkap dari kamera video diproses dengan metode background subtraction untuk memisahkan objek yang bergerak yaitu kendaraan dengan backgroundnya. Metode PCA diperlukan untuk mendapatkan vektor eigen dari kendaraan dan mereduksi dimensinya, sedangkan untuk klasifikasi penulis mencoba menggunakan algoritma klasifikasi K Nearest Neighbours. Untuk deteksi gandar kendaraan penulis menggunakan metode Circular Hough Transform. Hasil pengujian menunjukkan deteksi golongan kendaraan menggunakan metode PCA-K Nearest Neighbours dengan nilai K=1 mendapat akurasi 90%.84 HalamanSkripsi Sarjan
Gamifikasi Cerita Rakyat Si Dayang Bandir Menggunakan Unity3d dan Algoritma Fuzzy Logic
No full textIndonesia has many amazing culture and tradition. One of the culture that exist in Indonesia is folklore. Each region in Indonesia has their own folklore which is related to custom, cultor and the region’s characteristic. One of the mentioned folklore is Si Dayang Bandir folklore, which was originated from Simalungun region. Si Dayang Bandir folklore has a good moral and cultural message, but the delivery of the folklore which is usually made using verbal communication, and the lack of documentation of the mentioned folklore have made the interest in it diminished, and will soon be lost because of the lack of number of people knowing the folklore. This case is also strengthened by the fast development of entertainment in the form of more modern and sophisticated entertainment, such as video game, which is more prefered to be played during spare time. Therefore, a method is needed to deliver the folklore in a more modern and attractive way and also interactive with the player. This study is made by the author to introduce Si Dayang Bandir in a form of video game which has interactive and flexible feature, and using artificial intelligence and fuzzy logic algorithm into the video game. The result of this study is an interactive Si Dayang Bandir video game which can introduce culture, especially folklore.Indonesia memiliki banyak budaya dan tradisi yang unik dan mengagumkan. Salah satu bagian dari budaya yang terdapat di Indonesia adalah cerita rakyat. Tiap daerah di Indonesia memiliki cerita rakyat yang berkaitan dengan adat, budaya dan ciri khas daerah tersebut. Salah satu dari cerita rakyat tersebut adalah cerita rakyat Si Dayang Bandir yang berasal dari daerah Simalungun. Cerita rakyat Si Dayang Bandir memiliki unsur budaya dan pesan moral yang baik, namun cara penyampaian cerita rakyat yang kebanyakan secara lisan dan kurangnya dokumentasi membuat cerita rakyat semakin kurang peminatnya dan perlahan akan hilang karena semakin sedikit yang mengetahui cerita rakyat tersebut. Hal ini didukung juga dengan semakin berkembangnya sarana hiburan dalam bentuk modern dan canggih seperti video game yang lebih banyak dipilih untuk mengisi waktu luang. Untuk itu diperlukan suatu metode penyampaian cerita rakyat yang lebih modern dan menarik serta interaktif dengan pemain. Penelitian ini penulis buat dengan tujuan untuk memperkenalkan cerita rakyat Si Dayang Bandir dalam bentuk video game dengan fitur yang interaktif dan fleksibel dan menerapkan kecerdasan buatan dan algoritma fuzzy logic ke dalam video game. Hasil dari penelitian ini adalah video game Si Dayang Bandir yang interaktif dan dapat memperkenalkan budaya, terutama cerita rakyat.96 HalamanSkripsi Sarjan
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
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
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
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
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
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
Transliterasi Manuskrip Aksara Batak Digital dengan Metode Deterministic Finite Automata (DFA)
No full textTransliteration of Batak script into Latin script is still done manually. Digitalization of Batak script has been done by making Batak script font but this is not maximal because only experts can read the script. Therefore, needed a system that can recognize Batak script. This system can be built by applying the Finite State Automata (FSA) method which is a type of Deterministic Finite Automata (DFA). Digital of Batak manuscript with .docx extension is used as input for transliteration process. Furthermore, the process of parsing document is done to be easily recognized with DFA and converted into Latin script to be displayed as a result of transliteration. Based on testing in this research, writing rules of digital Batak script greatly affect the success rate of the transliteration process. DFA can recognize and transliterate digital Batak script with accuracy of 96.8%.Transliterasi aksara Batak menjadi aksara Latin selama ini masih dilakukan secara manual. Digitalisasi aksara Batak telah dilakukan dengan membuat font aksara Batak tetapi hal ini belum maksimal karena hanya pakar saja yang dapat membaca aksara tersebut. Oleh karena itu, diperlukan sebuah sistem yang dapat melakukan pengenalan aksara Batak. Sistem ini dapat dibangun dengan menerapkan metode Finite State Automata (FSA) jenis Deterministic Finite Automata (DFA). Manuskrip aksara Batak digital dengan ekstensi .docx digunakan sebagai masukan untuk proses transliterasi aksara Batak. Selanjutnya proses parsing dokumen dilakukan agar memudahkan pengenalan dengan DFA dan dikonversi menjadi aksara Latin untuk ditampilkan sebagai hasil transliterasi. Berdasarkan pengujian pada penelitian ini, aturan penulisan font aksara Batak di komputer sangat mempengaruhi tingkat keberhasilan proses transliterasi. Penerapan DFA mampu mengenali dan mentransliterasi manuskrip aksara Batak digital dengan akurasi 96.8%.Skripsi Sarjan
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
- …
