1,721,048 research outputs found
Smart diagnosis of long bone tumor / Mazni Parimin
This project is about diagnosing the long bone tumor using backpropagation neural
network. The main purpose of this project is to construct artificial neural network
model that can be used to diagnose the long bone tumor and to implement the artificial
neural network model into the design of the prototype. The construction of this
prototype consist of neural network training and testing process, where the
backpropagation training algorithm are used to recognize the data sample provided via
a user-friendly interfaces. The data samples involve in this project are data that had
been normalize and become the inputs of the prototype. After gathering the data from
Hospital Universiti Sains Malaysia, these data samples will be processed through
normalization technique in order to extract useful information to make it ready for the
training process. Here, backpropagation training algorithm will be used and network
parameters will be set. To ensure the performance of the network, its parameter such as
momentum value, learning rate and number of hidden neuron will be adjusted and
observed in order to get the best weight for the network and enable it to diagnose the
bone tumor types
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
Komunalitas Desa Kiyadan .
ABSTRACT
The diversity of the villages in Bali has been reported in many reports on villages in Bali. In turn, this diversity is followed by the presence of the communality of the villages, especially on communal rites of the villages. Parimin, A. P (1986) describes and categories the indicator (and the causal factors) of the communality. These factors, among others are common bale, common rise barn, common sacred place, common walls, and Common Street. He orders the common ancestor rites and rituals more important then common territory (which enclosed by walls), that causes the communality. But this research in the village of Kiyadan, based on observation and qualitative analysis concludes that enclosed territory and the village rules of that territory are more important than the dadia kingroup. The result of this research can be used to improve the design method of the territorial community.
Key word: Hubungan kekerabatan, Kinship, Komunalitas des
Variations on the Author
“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
We 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
We 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
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