97 research outputs found

    Discretization of continuous features by human learners:

    No full text
    Natural features are often continuous, but many models of human learning and categorization involve discrete-valued (e.g. Boolean) features. Discretization is well-known to be beneficial in machine learning, leading to faster and sometimes more accurate learning. Yet there has been little research on how human learners discretize continuous features. This dissertation investigates human discretization, focusing on two specific areas of inquiry. First is the hypothesis that discretization of a continuous parameter depends on the shape of the probability distribution underlying it, and principally on the presence of “modes” or separable peaks in the distribution. The second hypothesis is that humans create clear distinctions between discretized feature values, rather than probabilistic boundaries. Subjects were presented with items that had feature values drawn from a mixture of Gaussian distributions, and a free sorting task was used to assess whether subjects spontaneously discretized the feature in a way that related to the underlying mixture. The relative locations of the two component Gaussians, their separation as measured by Cohen’s d (the ratio of the distance between the components’ means to their standard deviations), and the number of items drawn from the overall mixture were varied. Each of these factors influenced the way subjects discretized the features, while further analysis showed that the estimated mixtures were more sharply separated (higher Cohen’s d) than the original probability. This study suggests that human featural discretization involves a process akin to the estimation of mixture components in the environment, but that the separation among the components is systematically overestimated to create “cleaner” divisions than are truly present—a phenomenon that might be termed hyperdiscretization.Ph.D.Includes bibliographical references (p. 56-60)by Cordelia D. Aitki

    Detailed review of the novel Cordelia Underwood: Or the Marvelous Beginnings of

    No full text
    Detailed review of the novel Cordelia Underwood: Or the Marvelous Beginnings of the Moosepath League, set in turn-of-the-century Maine, by Maine author Van Reid

    Milton's elements

    No full text
    Seeing his girlfriend flirt with another man, Milton hits her. Not a good idea because no sooner does she move out than Milton's family moves in. First it is his brother with aids, then his sister with her bratty sons, then another sister who is on drugs and finally his mother whom everyone dislikes. By the author of Alex & Zee

    La madre di carta. Cordelia Edvardson ed Elisabeth Langgässer

    No full text
    The work discusses Cordelia Edvardson's memories. The author is Elisabeth Langgässer's daughter, who survived as a young girl the camps at Theresienstadt and Auschwitz and was brought to Sweden after the war. The work focusses on the complexity of her familiy life, where she was the only one to be classified by the Nazi burocracy as "a full jewess"

    Raman microspectroscopy interrogating 19th and 20th century painted trades union banners

    No full text
    We have previously developed protocols for the application of Raman microspectroscopy to studies on painted textiles. We have further assessed the value of such microanalyses in the identification of both inorganic and organic constituents, including original components and consolidants used in conservation treatments. This paper presents the results of a recent study on a number of 19th- and 20th-century trades union banners directed at collating a spectral database of inorganic pigments used in the illustrations and at probing the preparative process prior to painting. Such information will contribute to an understanding of the manufacture of such banners and their current condition, leading to the development of optimum conservation procedures.While Raman spectroscopy has the potential to be used in situ and, with the appropriate protocol, is non-destructive, nonetheless we have found that the analysis of resin-embedded cross-sections is to be preferred with microtoming providing the cleanest sample surface. The optimum methodology for acquiring good quality Raman spectra is described including operation in the confocal mode, with consideration of fluorescence, interference from resin, laser-induced photochemistry, and so on

    OPTIMALISASI PERAWATAN ALAT BONGKAR MUAT GUNA MEMPERLANCAR KEGITAN BONGKAR MUAT DIKAPAL SEMEN CURAH MV. DIAN CORDELIA

    No full text
    ABSTRAKSI Nurwachid Eka Prasetya, 2019, NIT : 52155606. N, “Optimalisasi Perawatan Alat Bongkar Muat Guna Memperlancar Kegitan Bongkar Muat Di Kapal Semen Curah MV. Dian Cordelia”, skripsi Program Studi Nautika,Program Diploma IV, Politeknik Ilmu Pelayaran Semarang, Pembimbing I: Capt. I Kadek Laju, S.H., M.M, Pembimbing II: Capt. Firdaus Sitepu, S.St, M.Si, M.M Agar pemuatan dan pembongkaran muatan semen di pelabuhan bisa tepat waktu sesuai dengan jadwal yang telah diperkirakan, maka alat bongkar muat merupakan salah satu faktor penting agar proses pemuatan dan pembongkaran berjalan lancar. Yang perlu diperhatikan agar peforma alat bongkar muat kapal dalam keadaan siap dan optimal untuk melaksanakan pemuatan adalah dengan cara menghindari dan meminimalisir faktor-faktor yang menyebabkan peforma alat bongkar tidak optimal. Berdasarkan pengalaman selama praktek berlayar di MV.Dian Cordelia banyak terjadi kendala pada alat bongkar muat di MV. Dian Cordelia yang menyebabkan terhambatnya kegiatan bongkar muat, beberapa permasalahan yang dihadapi yaitu: Apa faktor penyebab perawatan alat bongkar muat semen di MV. Dian Cordelia kurang optimal, apa saja akibat dari perawatan alat bongkar muat semen di MV. Dian Cordelia jika perawatan kurang optimal dan bagaimana tindakan perawatan alat bongkar muat semen dapat bekerja dengan optimal. Metode yang digunakan dalam penelitian ini adalah metode kualitatif yang menghasilkan data deskriptif berupa kata-kata tertulis dari objek yang diteliti, dalam hal ini mengumpulkan data berupa pendekatan terhadap obyek melalui wawancara terhadap sumber berpengalaman, melalui data-data yang berhubungan dengan proses bongkar muat semen di MV. Dian Cordelia. Penulis akan melakukan identifikasi penyebab hal itu terjadi dengan cara mengetahui penyebab kerusakan dari alat bongkar muat dan termasuk prosedur pembongkaran yang benar. Setelah teridentifikasi penyebab terhambatnya proses ketika bongkar muat, maka selanjutnya bisa dilakukan suatu penelitian guna mencari hal-hal yang menyebabkan terhambatnya bongkar muat. Dengan dilakukan penelitian ini, maka setiap kru kapal akan lebih konsisten dalam melakukan perawatan terhadap alat bongkar muat kapal semen dan diketahuinya hal-halyang tidak dapat ditoleransi maka dapat mengikuti prosedur bongkar muat dengan benar agar proses bongkar muat berjalan dengan lancar. Dilakukan pengawasan proses bongkar muat dan perawatan alat bongkar muat dimaksudkan untuk bisa mengoptimalkan proses bongkar muat. ABSTRACT Nurwachid Eka Prasetya, 2019, NIT : 52155606. N, “Optimalisation of loading and unloading equipment to support loading and unloading on Bulk Cement Vessel MV Dian Cordelia”. Essay of Nautical Program. Diploma IV Program. Politeknik Ilmu Pelayaran Semarang. 1st Mentor: Capt. I Kadek Laju, S.H., M.M. 2nd Mentor: Capt. Firdaus Sitepu, S.St, M.Si, M.M In order for loading and unloading of cement in ports to be on time according to the schedule, so loading and unloading equipment is one of the important factors so that the loading and unloading process runs smoothly. What needs to be considered so that the performance of ship loading and unloading equipment is ready and in optimal condition to carry out loading is by avoiding and minimizing the factors that cause the unloading performance to be not optimal. Based on experience during the sea practice, MV. Dan Cordelia had many problems with loading and unloading equipment, which caused problems on loading and unloading activities. Several problems were faced, namely: What were the factors that caused the maintenance of cement loading and unloading equipment in the MV. Dian Cordelia not optimal, what is the result of the maintenance of cement loading and unloading equipment in the MV. Dian Cordelia if the maintenance is not optimal and how can the cement loading and unloading equipment work optimally. The method used in this study is a qualitative method that produces descriptive data in the form of writing of the object under study, in this case collecting data in the form of an approach to the object through interviews with experienced sources, through data relating to the cement loading and unloading process in MV. Dian Cordelia. The author will identify the cause of this by analyzing the cause of the damage to the loading and unloading equipment and including the correct unloading procedure. After the cause of the obstruction in the causes of the process of loading and unloading had been identified, then a study can then be carried out to look for things that cause the loading and unloading to be hampered. By conducting this research, each ship crew will be more consistent in carrying out maintenance of the cement ship loading and unloading equipment and knowing things that cannot be tolerated, can properly following the loading and unloading procedures so that the loading and unloading process runs smoothly. Supervision of loading and unloading process and maintenance of loading and unloading equipment are intended to optimize the loading and unloading process

    Scalable, repeatable, and contention-free parallelization of traffic simulation

    No full text
    Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Cataloged from student-submitted PDF version of thesis.Includes bibliographical references (pages 85-86).Tripod is a project funded by ARPA-E and partly carried on by the Intelligent Transportation Systems (ITS) Lab at MIT that aims to promote more energy efficient travel options by offering commuters incentives to make smart travel choices. These incentives depend on the current network state, and the ability to estimate the state of a given road network in real time is crucial. It relies on the DynaMIT system to determine what these incentives ought to be in order to optimize traffic flow on the network. Developed by the ITS lab, DynaMIT uses simulation to compute the current network state, predict its state in the future and, by extension, compute the incentives to travelers that optimize the global energy gain. While DynaMIT is able to do this effectively within smaller areas, it is unable to simulate traffic for the Greater Boston Area, or GBA, due to the scale of the network. The goal of this thesis is to scale the DynaMIT system so that it is less affected by network sizes. First, we outline a custom, lightweight profiling tool that is able to better track down the problems with scalability; next, we build off of previous work to address design errors that slow serial execution time; and finally, we implement a novel way to parallelize traffic simulation that avoids the race conditions and concurrency issues generally associated with such systems.by Cordelia Avery.M. Eng

    Remaining-Useful-Life prognostics for opportunistic grouping of maintenance of landing gear brakes for a fleet of aircraft

    No full text
    Several studies have proposed Remaining-Useful-Life (RUL) prognostics for aircraft components in the last years. However, few studies focus on integrating these RUL prognostics into maintenance planning frameworks. This paper proposes an optimization model for opportunistic maintenance scheduling of aircraft components that integrates RUL prognostics and that groups the maintenance of these components to reduce costs. We illustrate our approach for the maintenance of a fleet of aircraft, each equipped with multiple landinggear brakes. RUL prognostics for the landing gear brakes are obtained using a Bayesian regression model. Based on these RUL prognostics, we group the replacement of brakes using an integer linear program. As a result, we obtain a cost-optimal RUL-driven opportunistic-maintenance schedule for the brakes of a fleet of aircraft. Compared with traditional maintenance strategies, our approach leads to a reduction of up to 20% of the total maintenance costs.Air Transport & Operation
    corecore