2,823 research outputs found
Study on control of bird flu outbreak within a poultry farm
Get PDFIn a production process of a poultry farm, the entire population of birds is kept constant at the manageable capacity. After intrusion of influenza virus, infected birds remain as a source of infection regardless of being alive or dead, unless they are completely removed. A mathematical model based on these factors is analysed to study time evolution of populations of susceptible birds and infected birds, and concentration of bird flu virus. Numerical results show that the population of domestic birds can be made secure against infection by proper vaccination and proper removal of infected birds.
References Johann Breytenbach. Vaccination and biosecurity is the key. ProQuest Agriculture Journals Poultry World, 33(4):159, Apr 2005. Earl A. Coddington and Norman Levinson. Theory of Ordinary Differential Equations. Robert E. Krieger Publishing Company, Malabar, Florida, 1984. (Original Edition 1955, McGraw Hill Co., Inc.). Shingo Iwami, Yasuhiro Takeuchi, and Xianning Liu. Avian-human influenza epidemic model. Mathematical Biosciences, 207. J. D. Lambert. Computational Methods in Ordinary Differential Equations. John Wiley and Sons, Chichester, 1973. Tertia Delia Nova, Herman Mawengkang, and Masaji Watanabe. Modeling and analysis of bird flu outbreak within a poultry farm. In Proceedings of the First International Conference on Bioinformatics, page 96, 2010. Tertia Delia Nova, Herman Mawengkang, and Masaji Watanabe. Study on infection process of bird flu within poultry farm based on modeling and simulation. In Proceedings, International Conference on Environmental Research and Technology (ICERT 2010), 2--4 June 2010, Parkroyal Penang, Malaysia, page 435, 2010
Production planning of fish processed product under uncertainty
Get PDFMarine fisheries play an important role in the economic development of Indonesia. Besides being the most affordable source of animal protein in the diet of most people in the country, this industrial sector could provide employment to thousands who live at coastal area. We consider the management of small scale traditional business at North Sumatera Province which processes fish into several local seafood products. The inherent uncertainty of data (for example, demand and fish availability), together with the sequential evolution of data over time leads the production planning problem to be a linear mixed-integer stochastic program. We use a scenario generation based approach for solving the model. The result shows the amount of each fish processed product and the number of workforce needed in each horizon planning.
References Birge J. R., Louveaux F. V. Introduction to stochastic programming. New York: Springer; 1997. Mawengkang H., Saib Suwilo, Opim S. Sitompul. Revision Modeling of Two-Stage Stochastic Programming Problem. Journal of Industrial System 2006; 7 (4):6--10. Mawengkang H., Suherman. A Heuristic Method of Scenario Generation in Multi-Stage Decision Problem under Uncertainty. Journal of Industrial System 2007; 8(2) : 98--105. Mulvey J. M., Van derbei R., Zenios S. Robust optimization of large scale systems. Operations research 1995;43 (2): 264--281. Rico-Ramirez V. Two-stage stochastic linear programming: a tutorial. SIAG/OPT Views-and-News 2002; 13 (1): 8--14. Sen S., Higle J. L. Introductory tutorial on stochastic linear programming models. Interfaces 1999; 29 (2): 33--61. Van der Vlerk M. H., Haneveld W. K. Stochastic integer programming: General models and algorithms. Annals of Operations Research,85:39--57,1999
Author Talk: Daniel Herman Discusses His Novel, The Feudist
Get PDFPoster for an event where CWU History professor Daniel Herman discusses his historical novel The Feudisthttps://digitalcommons.cwu.edu/libraryevents/1223/thumbnail.jp
“The Pondering Repose of If”: Herman Melville’s Literary Exegesis
Get PDFThis study examines how Herman Melville’s oeuvre interacts with Old Testament (OT) wisdom literature (the Books of Job, Proverbs, and Ecclesiastes). Using recent historical findings on the rise of religious skepticism and the erosion of Biblical authority in both Europe and the United States, I read Melville as an author steeped in the theological controversies of the eighteenth-century. Specifically, I am interested in teasing out the surprising disavowals of overt religious skepticism in Melville’s writing. By tracing the so-called Solomonic wisdom tradition throughout Melville’s oeuvre, I argue that Melville had developed an epistemology of contemplation towards that body of Biblical texts. Scholarship has traditionally painted Melville as a subversive if not downright skeptical religious thinker. Most studies have produced authorial readings, using texts as forensic evidence to make assertions about the author’s psychology. Incidentally, such assessments have confirmed the narrative of Herman Melville as a grand failed author of the nineteenth century, while ignoring the ambivalent attitudes toward Biblical authority, textual history, and skepticism that emerge in Melville’s writing. The present study intervenes by re-addressing several procedural questions about Melville’s literary dealings with the Bible: How does Melville deal with the distinct topics of religion, theology, religious skepticism, and doubt? How does he think through the relationship between science and religion as well as that of personal religion and theology? I claim that Melville’s work can be read as a continuous contemplation of Biblical wisdom. His writing, I argue, deals productively rather than a destructive with the Bible, its textual history, and authority. Melville’s thinking on theological and religious subjects was not merely subversive but constructive. In mounting this argument, I contradict current scholarship that reads Melville as trying to invent a new American Bible. In contrast, I show how Melville’s philosophical forays, even when critical, are dependent on the ethics, language, and thinking of the OT.Doctor of Philosophy (PhD)Englis
Author Herman Wouk with his dog, ca. 1950s
No full textHerman Wouk, author of "The Caine Mutiny" (1951), "Marjorie Morningstar" (1955), "The Winds of War" (1971), "War and Remembrance" (1978) and many other novels. "The Caine Mutiny" was awarded the Pulitzer Prize for fiction. Photo by Angelo Pinto.Digital imageItem is part of an online exhibition "Jews in America: Our Story," maintained by the Center for Jewish History at http://www.jewsinamerica.org
Herman Leicht
Get PDFNotes - Mr. Herman Leicht's career and education are discussed including his interest and subsequent career in radio and technology. Details are given of his marriage to Doreen Wilkinson and their family life (1 page
2007-138 Herman Cain
No full textHerman Cain, American author, business man, and activisthttps://scholarworks.harding.edu/hu-2000-events/1570/thumbnail.jp
Analisis Seleksi Atribut pada Algoritma KNN dalam Memperoleh Penemuan Aturan untuk Penentuan Mutu Beras
No full textSalah satu tujuan algoritma k-nearest neighbor adalah sebagai klasifikasi. Sesuai dengan
salah satu kegunaannya sebagai klasifikasi dalam pengenalan pola algoritma k-nearest
neighbor merupakan suatu metode pengelompokan objek yang didasari oleh contoh data
training yang terdekat. Algoritma k-nearest neighbor ini merupakan teknik klasifikasi
yang paling mendasar dan juga sangat sederhana. Dalam pencarian solusi tersebut
digunakan beberapa atribut untuk diklasifikasikan. Namun dalam kinerjanya ada
kemungkinan yang terjadi yaitu atribut yang tidak memiliki nilai kecocokan dalam data
mining, jika atribut itu di masukkan ke dalam proses klasifikasi dapat menimbulkan
kebingungan pada proses data mining. Oleh karenanya perlu dilakukan seleksi atribut
agar dapat di lakukan pengidentifikasian atribut dengan nilai yang tidak cocok atau
relevan dan dapat menghilangkan atribut tersebut, sehingga penulis menggunakan metode
information gain sebagai identifikasi dan juga melakukan seleksi atribut.K-Nearest Neighbor algorithm as classification . In accordance with one of its uses as a
classification in the introduction of the k-nearest neighbor algorithm pattern is a method
of grouping objects based on examples of the closest training data. This k-nearest
neighbor algorithm is the most basic classification technique and is also very simple. In
the search for these solutions, several attributes are used to be classified. But in its
performance there is a possibility that happens is an attribute that does not have a match
value in data mining, if the attribute is entered into the classification process can cause
confusion in the data mining process. Therefore it is necessary to do attribute selection so
that it can identify attributes with values that are not suitable or relevant and can eliminate
these attributes, so the author uses the information gain method as an identification and
also performs attribute selectionTesis Magiste
Herman Melville
No full textThe author of "Moby Dick", Herman Melville, had an eventful life which helped develop his skills as a writer. His life and his major works are discussed here by Rebecca Steffoff
Pembangkit Fungsi Keanggotaan Fuzzy Otomatis Menggunakan Neural Network
No full textIn this study the author used an algorithm Backpropagation Neural Network
(BPNN) to generate automatically fuzzy membership functions, in order to obtain
a more precise membership functions according to the data provided.
Backpropagation neural network algorithm is one of the algorithm supervised
learning, this learning need supervision in the learning process. One of the
important factor in BPNN learning is the number of input variables. To get the
better result we have to used more input variables. In this study, only one initial
input variables have to be used, according to the dataset used, so as to get the
better result added two new initial input variables, namely x
ABSTRACT
2 and x3. Variable x2
be obtained by using the algorithm additional. It’s called Kohonen algorithm
(SOM). The variable x3 be obtained by using the formula (x2 - index (i)).
Moreover than, the Kohonen algorithm is also used to get the output value will be
used as input process to the algorithm BPNN training. From the results of
research by the author, the BPNN algorithm have to automatically generate
membership functions at the beginning of one variable, using the Kohonen
algorithm to obtain additional initial input variables.
Keywords : Fuzzy, Membership Function, BPNN, Kohonen (SOM).Dalam penelitian ini penulis menggunakan algoritma Backpropagation Neural Network (BPNN) untuk membangkitkan fungsi keanggotaan fuzzy secara otomatis, agar didapatkan fungsi keanggotaan yang lebih tepat sesuai dengan data yang diberikan. Algoritma backpropagation neural network merupakan salah satu algoritma pembelajaran supervised learning, yaitu pembelajaran yang membutuhkan pengawasan dalam proses pembelajarannya. Salah satu faktor penting dalam pembelajaran BPNN adalah jumlah variabel input. Semakin banyak variabel input yang digunakan, maka akan semakin bagus target yang didapatkan. Dalam penelitian ini, variabel input awal yang digunakan hanya satu variabel, sesuai dengan dataset yang digunakan, sehingga untuk mendapatkan hasil target yang lebih baik ditambahkan dua variabel input awal yang baru, yaitu x2 dan x3. Variabel x2 didapatkan dengan menggunakan algoritma tambahan yaitu algoritma kohonen (SOM), sedangkan variabel x3 didapatkan dengan menggunakan rumus x2 – indeks (i). Selain itu algoritma kohonen juga digunakan untuk mendapatkan nilai output yang akan dijadikan sebagai input proses pelatihan pada algoritma BPNN. Dari hasil penelitian yang penulis lakukan, algoritma BPNN dapat membangkitkan fungsi keanggotaan secara otomatis pada satu variabel awal, dengan menggunakan algoritma kohonen untuk mendapatkan variabel input awal tambahan.
Kata Kunci : Fuzzy, Fungsi Keanggotaan, BPNN, Kohonen (SOM).183 HalamanTesis Magiste
- …
