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Two clumps of matter pass through each other without sharing space; In some cases the colliding clumps of matter appear to deepen their distance even as they pass through each other. Clumps of a few hundred thousand lithium atoms that are cooled to within one-millionth of a degree above absolute zero a temperature so cold that the atoms march in lockstep and act as a single matter wave. The Interaction of light with matter has long been a field of interest for many quantum physicists, however, depends upon the field of interaction plus the form of interaction. I've found it to be much better to look at not as a phenomenon but as something of a paradox, whether the audience find it tangible or not, this might probably be the best starting point if one wish to have million ways to see quantum theory in its entirety....

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Relocation is often defined as a stressful and nerve-racking experience that eats up too much time and money, leaving you emotionally and physically drained. And yet, it doesn’t have to be this way. The key to successfully writing your own happy ending to the grim moving story is to be adequately prepared for Moving day by following the required packing steps. Cleverly structured by esteemed relocation experts and, the purpose of this moving book is to help you organize and execute a smooth and trouble-free move with the least effort on your part. Be well informed. Be a smart decision-maker. Make all the right moves....

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It is universally known that moving often turns out to be a stressful experience with an insatiable appetite for time and money. The psychological impact of any relocation process cannot be predicted with any certainty and its side effects may last from a couple of weeks to a few years depending on what type of person you are. Being well prepared for the upcoming move is fundamental not only for your emotional well-being, but for that of the people around you as well....

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Introduction How To Mentally Prepare For A Move “Plans are nothing; planning is everything” It’s time to say goodbye You are what matters most A change might do you good Top 10 Best Organizing Ideas For Moving Be prudent when choosing your moving service Box it in and pack it up Devise a clever sorting system Make a survival kit Guard your valuables Get rid of excess stuff Accept any help you can get Let your camera be your pal Spread the word Make it children and pet safe Bonus idea: Start early and don’t rush yourself Top 10 Moving Mistakes And How To Avoid Them 1. Not planning your move 2. Failing to ask for an in-house estimate 3. Not obtaining multiple moving quotes 4. Not researching the moving companies 5. Choosing the company with the lowest quote 6. Bypassing items during the estimate 7. Packing poorly the day before the move 8. Failing to understand your insurance options 9. Entrusting irreplaceable valuables in the hands of the movers 10. Not understanding the moving paperwork Non-Allowable Items: What To Do When Movers Say No Hazardous materials Perishable food Pets and plants Irreplaceab...

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At the request of Garret Hew, Manager of East Maui Irrigation Company (EMI), Kumu Pono Associates conducted a two phased study of cultural-historical resources in the lands of Hamakua Poko, Hamakua Loa, and Ko?olau, in the region of Maui Hikina (East Maui), Island of Maui. The study included—conducting detailed research of historical records in public and private collections (Volume I); and conducting oral history interviews with individuals known to be familiar with the cultural and natural landscape, and history of land use in the Maui Hikina study area (Volume II). This study was conducted in conjunction with the Water License Application of the East Maui Irrigation Company, and land use planning processes of the Board of Land and Natural Resources of the State of Hawai?i. The study area includes 72 ahupua?a (native land divisions extending from fisheries to the mountain region) which make up the moku o loko (districts) of Hamakua Poko, Hamakua Loa, and Ko?olau, Maui. Situated on the eastern slopes of Haleakala, the lands are a part of the region generally known as Maui Hikina (East Maui). These lands comprise a large portion of ...

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In general, it will be seen that the few differences of history and recollections in the cited interviews are minor. If anything, the differences help direct us to questions which may be answered through additional research, or in some cases, pose questions which may never be answered. Diversity in the stories told, should be seen as something that will enhance interpretation, preservation, and long-term management of the land and water resources of Maui Hikina....

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Authors rarely have the privilege, after twenty-five years, of revising a work of considerable size. We are grateful to have had this privilege, because the need for a complete revision of the Hawaiian Dictionary has long been evident, judging from the response of scholars and of many other readers, not only in Hawai?i, but from all parts of the world. Work of revision, begun in 1972, has taken so long that the compilers often wondered if they would live to see the final form of this labor of love. In this preface we review the additions and changes that have been incorporated in this latest edition. About 3,000 new entries have been added to the Hawaiian-English section, bringing the total number of entries in that section to about 29,000. Almost certainly it is the largest and most complete of any Polynesian dictionary. Partly because of the increased interest in Hawaiiana, many books have appeared since the first edition was compiled in the early 1950s. Those sources most productive of new entries and additional meanings of old entries include the following (see the References for bibliographic details): Handy and Pukui 1958, Ii...

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In the revised dictionary we have attempted to credit Greek, Hebrew, and Latin as sources of many loan words in Hawaiian, drawing on Elbert and Knowlton's unpublished paper (1985) that lists words probably from Greek (mostly in the New Testament), Hebrew (mostly in the Old Testament), and Latin (mostly of non-Hawaiian animals and terms for Christian services). We found that the meanings of Hawaiian words in the King James Version (KJV) differed considerably from those in the Revised Standard Version (RSV) of 1946–1952 (Old Testament) and 1971 (New Testament). In such cases both definitions are given, the RSV meanings appearing first, as presumably based on later research. There is no assurance that all such differences in the two versions are noted. In the table below are listed a few of the many words from Greek, Hebrew, and Latin with RSV glosses that differ from KJV glosses. Notice that in every case the alternate spelling (with non-Hawaiian letters) clearly reflects the source language. Notice also that the Hawaiian loan words of Greek origin in this short list end in o; this is probably because of the frequency of Greek w...

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Applications demonstrate the power of the DSmT framework. In this third Volume, DSmT is applied to the entire spectrum of the Information Fusion that would interest any reader in data, sensor, information, and mathematical fusion topics. Highlighted in Figure 1 are the contemporary issues that include the links between (1) data conditioning and information management, (2) combined situation and impact assessment, and (2) knowledge representation between machine processing and user coordination. Various applications leverage DSmT “Advances” listed above along with DSmH (hybrid), DSmP (Probabilistic), and DSmT theoretical insights. The third volume attacks these application issues of coordination between the “levels” of information fusion....

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Part I Advances on DSmT 1 Chapter 1 An introduction to DSmT 3 by J. Dezert and F. Smarandache 1.1 Introduction . . . . . . . . . . 4 1.2 Foundations of DSmT . . . . . . . . . 4 1.2.1 The power set, hyper-power set and super-power set . . 6 1.2.2 Notion of free and hybrid DSm models . . . . 18 1.2.3 Generalized belief functions . . . . . . 20 1.2.4 The classic DSm rule of combination . . . . . 21 1.2.5 The hybrid DSm rule of combination . . . . . 22 1.2.6 Examples of combination rules . . . . . . 24 1.2.7 Fusion of imprecise beliefs . . . . . . 29 1.3 Proportional Conflict Redistribution rule . . . . . 33 1.3.1 PCR formulas . . . . . . . . . 34 1.3.2 Examples . . . . . . . . . 35 1.3.3 Zadeh’s example . . . . . . . . 39 1.4 Uniform and partially uniform redistribution rules . . . 41 1.5 RSC Fusion rules . . . . . . . . . 43 1.6 The generalized pignistic transformation (GPT) . . . . 45 1.6.1 The classical pignistic transformation . . . . 45 1.6.2 Notion of DSmcardinality . . . . . . 46 1.6.3 The Generalized Pignistic Transformation . . . 47 1.7 The DSmP transformation . . . . . . . 48 1.7.1 The Probabilistic In...

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This second book devoted on advances and applications of Dezert-Smarandache Theory (DSmT) for information fusion collects recent papers from different researchers working in engineering and mathematics. Part 1 of this book presents the current state-of-the-art on theoretical investigations while, Part 2 presents several applications of this new theory. Some ideas in this book are still under current development or improvements, but we think it is important to propose them in order to share ideas and motivate new debates with people interested in new reasoning methods and information fusion. So, we hope that this second volume on DSmT will continue to stir up some interests to researchers and engineers working in data fusion and in artificial intelligence....

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Preamble iii Prefaces v Part I Advances on DSmT 1 Chapter 1 Proportional Conflict Redistribution Rules for Information Fusion 3 by Florentin Smarandache and Jean Dezert 1.1 Introduction . . . . . . . . . . . 3 1.2 The principal rules of combination . . . . . . . 6 1.2.1 Notion of total and partial conflicting masses . . . . . 6 1.2.2 The conjunctive rule . . . . . . . . . 6 1.2.3 The disjunctive rule . . . . . . . . . 8 1.2.4 Dempster’s rule of combination . . . . . . . 8 1.2.5 Smets’ rule of combination . . . . . . . 9 1.2.6 Yager’s rule of combination . . . . . . . 9 1.2.7 Dubois & Prade’s rule of combination . . . . . . 9 1.2.8 The hybrid DSm rule . . . . . . . . 10 1.3 The general weighted operator (WO) . . . . . . . 11 1.4 The weighted average operator (WAO) . . . . . . . 12 1.4.1 Definition . . . . . . . . . 12 1.4.2 Example for WAO . . . . . . . . . 13 1.4.3 Limitations of WAO . . . . . . . . . 13 1.5 Daniel’s minC rule of combination . . . . . . . 14 1.5.1 Principle of the minC rule . . . . . . . 14 1.5.2 Example for minC . . . . . . . . . 15 1.6 Principle of the PCR rules . . . . . . . . . 20 1.7 The...

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This book is devoted to an emerging branch of Information Fusion based on new approach for modeling the fusion problematic when the information provided by the sources is both uncertain and (highly) conflicting. This approach, known in literature as DSmT (standing for Dezert-Smarandache Theory), proposes new useful rules of combinations. We gathered in this volume a presentation of DSmT from the beginning to the latest development. Part 1 of this book presents the current state-of-the-art on theoretical investigations while Part 2 presents several applications of this new theory. We hope that this first book on DSmT will stir up some interests to researchers and engineers working in data fusion and in artificial intelligence. Many simple but didactic examples are proposed throughout the book. As a young emerging theory, DSmT is probably not exempt from improvements and its development will continue to evolve over the years. We just want through this book to propose a new look at the Information Fusion problematic and open a new track to attack the combination of information....

Table of Contents Details
Preamble xi Prefaces xiii I Advances on DSmT 1 1 Presentation of DSmT 3 1.1 Introduction . . . . . 3 1.2 Short introduction to the DST . . . . 5 1.2.1 Shafer’s model and belief functions . . . 5 1.2.2 Dempster’s rule of combination . . . 5 1.2.3 Alternatives to Dempster’s rule of combination . . . 6 1.2.4 The discounting of sources of evidence . . . 10 1.3 Foundations of the DSmT . . . . 11 1.3.1 Notion of free and hybrid DSm models . . . 11 1.3.2 Notion of hyper-power set D_ . . . 13 1.3.3 Generalized belief functions . . . . 15 1.3.4 The classic DSm rule of combination . . . 16 1.3.5 The hybrid DSm rule of combination . . . 17 1.3.6 On the refinement of the frames . . . 18 1.3.7 On the combination of sources over different frames . . . 20 1.4 Comparison of different rules of combinations . . . 21 1.4.1 First example . . . . . 21 1.4.2 Second example . . . . 25 1.4.3 Third example . . . . 26 1.4.4 Fourth example . . . . 27 1.4.5 Fifth example . . . . . 27 1.5 Summary . . . . . 29 1.6 References . . . . . 31 2 The generation of hyper-power sets 37 2.1 Introduction . . . . . 37 2.2 Definition of hyper-po...