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    Identifikasi Varietas Unggul Kedelai Berdasarkan Warna Benih Dengan Fuzzy Cluster Means

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    Telah dilcikukan tugas akhir tentang identifikasi vcirietas unggul kedelai bedasarkan warna dengan Fuzzy Cluster Means (FC'M ). Tugas akhir ini bertujuan untuk menentukan identi fikasi varietas unggul kedelai dengan menggunakan FC`M herdasarkan warna kemudian membandingkaanya dengan hasil pengolahan data melalui jaringan syaraf tiruan (JST). Percobaan ini menggunakan benih kedelai sebagai objek, dari varietas: Anjasmoro, Argomulyo, Argopuro, dan Panderman. Data masukan yang digunakan dalam tugas akhir ini berupa data RGB dari masing-masing varietas dengan variasi warna tempat pengambilan data, yaitu hitarn dan coklat serta jenis lampu yang digunakan, yaitu: pijar dan halogen. Data tersebut diolah dengan menggunakan FCM sehingga diperoleh keluaran berupa pusat klaster dan derajat keanggotaan serta nilai error dengan metode FCM. Hasil yang diperoleh menunjukkan bahwa tiap varietas memenuhi sifat derajat keanggotaan fuzzy, yaitu maksimum pada satu kelas dan minimum untuk kelas yang lain. Untuk tingkat keakuratan, FCM memberikan kebenaran sebesar 80%. Jika dibandingakan dengan JST, FCM kurang akurat namun lebih konsisten dalam memberikan kebenaran. =========================================================================================================================== Final project about identification of soybean varieties based on color by Fuzzy> Cluster Means (FCM ) was done. This final project aims to determine the identification of soybean varieties using FCM based on the color then compared by results of data processing by artificial neural network ( 1ST). This experiment used soybean seeds as objects of varieties: Anjasmoro, Argomulyo, Argopuro, and Panderman. Input data used in this final project in the form of RGB data of each variety with the color variations of data retrieval, which is black and brown and kind of lamps used\ namely: incandescent and halogen. The data is processed by using FCM to produce the output of the cluster centers and membership degrees and the value of an error with FCM method. The resulst of the final project, it is known that each character varieties meet fuzzy membership degrees\ ie at a maximum and minimum class for another class. Tor the level of accuracy, FCM provides the truth as much as H0%. If it compared by JST, FCM is less accurate but more consistent in giving the truth

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

    SIMULASI PENGENDALI SUDUT PITCH BLADE PADA TURBIN ANGIN DENGAN FLOWER POLLINATION ALGORITHM (FPA) UNTUK MENGOPTIMALKAN KONVERSI DAYA LISTRIK

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    Telah dilakukan penelitian berupa simulasi untuk mengendalikan sudut pitch blade pada turbin angin. Penelitian ini bermaksud untuk mengoptimalkan proses konversi daya listrik. Pengendalian sudut pitch blade pada tubin angin dilakukan dengan PI-Contoller. Nilai konstanta Kp dan Ki dari PI-Controller diperoleh secara optimal dengan algoritma penyerbukan bunga (Flower Pollination Algorithm (FPA)). Simulasi dilakukan dengan variasi kecepatan angin untuk memperoleh sudut pitch blade yang optimal. Analisis yang digunakan adalah analisis kestabilan steady state untuk memperoleh eigen value dan damping ratio. Sedangkan untuk analisis kestabilan transient dilakukan analisis overshoot, settling time, rise time, dan parameter lainnya. Hasil parameter dari simulasi dengan FPA, dibandingkan dengan coba-coba (manual tunning) dan Particle Swarm Optimization (PSO). Semua simulasi dilakukan dengan simulink dan m.file dari software matlab. Berdasarkan hasil simulasi dan analisis, dapat disimpulkan bahwa sistem stabil steady state karena memliliki nilai negatif untuk semua eigen value. Nilai damping ratio juga lebih besar dari 0,05 yang menandakan sistem teredam dengan baik. Pada analisis transient baik untuk frekuensi maupun sudut pitch blade, FPA memberikan respon settling time yang lebih cepat dan overshoot yang lebih rendah jika dibandingkan dengan PSO dan manual tunning. ============================================================ A research of simulation pitch angle blade of wind turbine had been done. The purpose of the research was to optimize the conversion of power. The controller of pitch angle wind turbine was PI-Controller. The value of gain Kp and Ki was obtained optimally by Flower Pollination Algorithm (FPA) The simulation was done by using variation of wind speed to obtain the optimum pitch angle blade. In this simulation, the steady state and trasient stability analysis were applied. Damping ratio and eigen value were obtained to observe the steady state stability. The paramater of transient stability such as: settling time, rise time, and overshoot etc. were obtained by using manual tunning, FPA, and PSO. The parameters result of tunning were compared. All the simulation run in simulink and m.file of matlab. Based on the simulation and analsis result, it could be concluded that the system wes stable steady state. It was shown by all real component of negative eigen value. The damping ratio of the system was more than 0.05 and less than 1 so the system was damped well. In transient analysis in pitch angle blade and rotor frequency, FPA gave the fastest settling time and the lowest overshoot response than manual tunning and Particle Swarm Optimization (PSO)

    Variations on the Author

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    “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

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    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

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    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

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    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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