1,720,970 research outputs found
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
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
Clustering Fenomena Corona Discharge berdasarkan Suara menggunakan Metode LPC dan Euclidean Distance
ABSTRAKKegagalan isolasi akibat fenomena tegangan tinggi seperti corona discharge (CD) masih banyak terjadi pada sistem kelistrikan di Indonesia. Hal ini disebabkan belum dapat dilakukannya deteksi dini kegagalan isolasi. Salah satu bentuk CD berupa suara. Sebagai langkah awal deteksi dini kegagalan isolasi diperlukan suatu penelitian yang dapat mengklaster suara CD (pada kubikal 20 kV) yang merupakan tujuan penelitian. Berdasarkan pengamatan pada elektroda jarum-batang berjarak 3 cm diperoleh breakdown terkecil pada 34,3 kV. Klasifikasi suara CD ditetapkan menjadi 3 cluster yang dimulai dari tegangan cubicle 20 kV hingga sebelum breakdown terjadi yaitu 33 kV. Clustering dilakukan menggunakan metode linear predictive coding (LPC) sebagai ekstraksi ciri dan Euclidean distance sebagai pencocokan pola hasil ekstraksi. Adapun suhu di dalam kubikal antara 27,5℃ - 35,3℃ dan kelembaban berkisar 70% - 95%. Hasil akurasi clustering rata-rata yang diperoleh adalah 100% untuk data training dan 85,15% untuk data testing.Kata kunci: corona discharge, Euclidean distance, kegagalan isolasi, linear predictive coding, tegangan tinggi ABSTRACTInsulation failures due to high voltage phenomena such as corona discharge (CD) are still common in the electricity system in Indonesia. This is because early detection of insulation failure cannot be carried out. One form of CD is sound. As the first step in early detection, a study is needed to cluster CD sound (at 20 kV cubical). By observations on the needle-rod electrode at 3 cm, the smallest breakdown was at 34.3 kV. CD sound classification is set into 3 clusters starting from a cubicle voltage of 20 kV until before breakdown occurs, which is 33 kV. Clustering was carried out using linear predictive coding (LPC) as feature extraction and Euclidean distance as pattern matching extracted results. The temperature and humidity inside the cubical are 27.5℃-35.3℃ and 70%-95% respectively. For training and testing data average clustering accuracy results obtained are 100% and 85.15% respectively.Keywords: corona discharge, Euclidean distance,, insulation failure, linier predictive coding, high voltag
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
Comparative Study of HMM and BPNN in Detecting Corona Discharge on 20 kV Cubicle Based on Voltage and Sound
Corona discharge is one of the most common disturbances in 20 kV cubicles, potentially reducing efficiency and damaging equipment. Early detection is essential to improve system reliability and prevent failures. This study compares the performance of the Hidden Markov Model (HMM) and Backpropagation Neural Network (BPNN) in detecting corona discharge based on acoustic signals and voltage measurements. The recorded corona discharge sounds were processed using Linear Predictive Coding (LPC) for feature extraction, followed by clustering and classification. HMM achieved an accuracy of 84.44% in voltage-based clustering and 100% in noise-based clustering, while BPNN demonstrated more consistent and reliable results, reducing detection errors. The proposed system enables early identification of corona discharge symptoms, provides acoustic-based clustering at specific thresholds, and offers an early warning mechanism for technicians. Overall, the findings indicate that BPNN is more effective than HMM in identifying corona discharge in 20 kV cubicles, thereby supporting preventive maintenance efforts and enhancing the reliability of power distribution networks
Analisis Investasi pada Proyek Pembangunan Apartemen Bale Hinggil Surabaya
Pertumbuhan penduduk Surabaya dari tahun ke tahun terus mengalami peningkatan. Hal ini berpengaruh terhadap meningkatnya kebutuhan tempat tinggal yang layak. Maka dari itu salah satu developer PT Tlatah Gema Nugraha ingin membangun sebuah hunian vertikal yang bernama Apartemen Bale Hinggil. Beberapa analisis sangat diperlukan melihat dari peningkatan pembangunan apartemen di Surabaya yang begitu pesat, membuat tingkat persaingan menjadi tinggi. Selain itu kecenderungan okupansi apartemen yang terus-menerus menurun sekarang ini. Tugas akhir ini bertujuan untuk mendapatkan alternatif pendapatan yang optimal dari pemilihan alternatif pendapatan antara apartemen sewa, apartemen jual, dan gabungan keduanya. Untuk penilaian alternatif sistem pendapatan digunakan analisis aruskan dengan penilaian kelayakan investasi menggunakan metode NPW dan IRR. Pada analisis kelayakan investasi didapatkan nilai NPV dan IRR tertinggi pada sistem jual yaitu sebesar Rp155.907.406.750,- untuk NPV dan 46,62% untuk IRR. Untuk analisis sensitivitas menunjukkan alternatif pendapatan pada sistem jual merupakan alternatif yang memiliki rentan lebih aman terhadap kelayakannya jika terjadi perubahan variabel investasi. Sedangkan untuk alternatif pendapatan pada sistem gabungan memiliki tingkat sensitivitas tinggi sehingga jika terjadi perubahan variabel investasi dapat membuat alternatif pendapatan dengan sistem gabungan menjadi tidak layak.</p
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We 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
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