605 research outputs found
FHA/VA Financing and Price Discounts
No full textThis study examines the effects of FHA and VA mortgage financing on home prices. FHA and VA borrowers receive higher loan-to-value ratios (LVRs) and payment to income (PTIs) ratios relative to conventional underwriting standards. These more lenient standards are offset by the payment of additional financing costs in the form of default insurance premiums and origination fees. The hypothesis for this study is that the origination fees (in the form of insurance premiums and the funding fees) associated with FHA and VA financing will (1) be capitalized into buyer reservation values and (2) result in price discounts relative to conventional loans with lower LVRs. Using a database of nearly 9,000 homes sales in the San Antonio, TX area, we perform hedonic analyses that indicate that both types of government backed financing are associated with reductions in selling prices. The results of this study may imply a cost shifting behavior on the part of buyers and an implicit subsidy on the part of sellers. Our preferred regressions find that the price discounts for FHA underwriting are about 4% (3.81% to 4.14%) relative to conventional financing. VA discounts, as expected, are smaller, ranging from about 2% to 3.46%. Given the prior literature, we hypothesize that the results are likely a result of the fact that FHA and VA homebuyers are able to shift some costs to sellers.
HUFFMAN COMPRESSION ALGORITHM
No full textIn modern IT world, we are returning to the problem of low storage space. May be typically users do not see this problem and still there is more data that companies collect and should store. In this work author analyzed Huffman compression algorithm it’s effectiveness, working principles and examples of usage
Performance Comparison of Raster Line Difference Huffman Technique with Different Coding Techniques for Non-Medical Images
No full textThe abstract of this paper will compared so many hybrid trends compression techniques in image compression concepts with Raster Line Difference Huffman Technique for non-medical Images. In this paper we compared non medical Images like Baboon, Crane, Lena, sun and veg .In this Paper we compare size, compression rate and saving percentage of different coding techniques with Raster Line Difference Huffman Technique for non medical Images like Baboon, Crane, Lena, sun and veg . The author hope on This paper will be very helpful to known the many new hybrid techniques performance with Raster line Huffman comparison technique for non-medical images
Lewis Huffman and Carroll Anthony
No full textThis 1966 photograph taken by photographer Juanita Wilson shows Lewis Huffman and Carroll Anthony performing in the 18th Annual Mountain Youth Jamboree, playing a "washtub bass" and guitar. Founder and director of the Mountain Youth Jamboree, Hubert H. Hayes (1901-1964) auditioned and directed youth to perform in folk dance, music, and folk and ballad singing. The jamboree was held in the Asheville City Auditorium (now known as Thomas Wolfe Auditorium) from 1948 to 1973, and Hayes’ wife, Leona Trantham Hayes (1913-1989) continued to direct the program after his death in 1964. Hubert Hayes was an author, playwright, and alumni of Duke University
OER Women in Math course
No full textThis Women in Math course takes a look at 11 notable women mathematicians through readings, quizzes, discussion boards, and activities related to the mathematical contributions of the women. Several of the activities are original and can be found separately at Pittsburg State University Digital Commons (https://digitalcommons.pittstate.edu/ - search by author for Huffman, Cynthia).
Course URL
The OER Women in Math course can be accessed at https://pittstate.instructure.com/courses/1081791 .https://digitalcommons.pittstate.edu/oer-math/1012/thumbnail.jp
Compression of textual information with Huffman algorithm
No full textŠī bakalaura darba mērķis ir izpētīt jau eksistējošas informācijas saspiešanas metodes, kā arī, balstoties uz iegūto informāciju, izstrādāt savu arhivātoru, kurš pielietos vienkāršāku no tām – Haffmana algoritmu. Pētījuma sākumā detalizēti ir aplūkota viena no iespējamajām Haffmana algoritma realizācijas metodēm, pēc kuras autors izstrādājis savu arhivātoru JVC6. Darba turpinājumā ir aprakstītas arī citu saspiešanas metožu specifiskās īpašības, raksturīgās iezīmes, sniedzot nelielu ieskatu to realizācijām. Pētījuma noslēgumā ir veikta jaunizveidota arhivātora analīze un salīdzinājums ar mūsdienas populārākām saspiešanas programmām, nosakot katras stiprās puses, pozitīvās iezīmes. Veikta algoritmu salīdzināšana dažādiem tekstiskiem failiem.The main target of this bachelor’s paper is to learn modern compression algorithms, to produce a compressor for textual data. It will implement the easiest and simplest algorithm – Huffman code for textual data compression. In the beginning of research is gone into a detail one of the possible methods of Huffman algorithm realization. After that an author produced his own compressor JVC6. In this work are also described specific characteristics of other compression methods, and their realization possibility. In the end of the research are done some analyses of new compression program, its comparison with modern, popular and wildly used programs-compressors. Positive and good features are finalized for each of them. Comparison of algorithms for some textual files is also done
Penerapan kompresi menggunakan kode Huffman pada algoritma RSA (Rivest Shamir Adleman) untuk menyandikan pesan teks
No full textINDONESIA:
Penyandian suatu pesan yang bersifat rahasia dilakukan dengan ilmu kriptografi yaitu mengubah suatu pesan kedalam bentuk yang tidak dapat dipahami lagi maknanya. Untuk menghindari hal yang tidak diinginkan dalam menyampaikan suatu pesan yang bersifat rahasia, maka penulis akan mengkaji dan membahas tentang kriptografi atau penyandian suatu pesan. Penyandian pesan teks dengan kompresi menggunakan kode Huffman dan kode ASCII akan diterapkan pada algoritma RSA, supaya dapat mengetahui kode mana yang lebih efisien dalam proses penyandian suatu pesan teks. Setelah melakukan beberapa uji coba maka dapat disimpulkan bahwa kode Huffman dapat menghasilkan ruang penyimpanan relatif kecil dalam proses penyandian daripada menggunakan kode ASCII. Rata-rata Perbedaannya ruang penyimpanan dalam kode Huffman 39,53% lebih kecil daripada kode ASCII.
ENGLISH:
Encryption of a message that is confidential is done with the science of cryptography, namely changing a message into a form whose meaning can no longer be understood. To avoid unwanted things in conveying a message that is confidential, the author will examine and discuss cryptography or encoding a message. Encryption of text messages with compression using Huffman codes and ASCII codes will be applied to the RSA algorithm, so that we can find out which code is more efficient in the process of encoding a text message. After conducting several trials, it can be concluded that the Huffman code can produce relatively small storage space in the encoding process than using ASCII code. The average difference is that the storage space in the Huffman code is 39.53% less than in the ASCII code.
ARABIC:
يتم تشفير رسالة سرية باستخدام علم التشفير ، يمعي تغيير الرسالة إلى شكل لم يكن لفهمه معنها. لتجنب الأشياء غير المرغوب فيها في نقل رسالة سرية ، سيقوم المؤلف بفحص ومناقشة التشفير أو تشفير الرسالة. سيتم تطبيق تشفير الرسائل النصية بالضغط باستخدام أكواد Huffman ورموز ASCII على خوارزمية RSA ، حتى نتمكن من معرفة الرمز الأكثر كفاءة في عملية تشفير رسالة نصية. بعد إجراء العديد من التجارب ، يمكن استنتاج أن كود Huffman يمكن أن ينتج مساحة تخزين صغيرة نسبيًا في عملية التشفير مقارنة باستخدام كود ASCIIالفرق المتوسط هو أن مساحة التخزين في كود هوفمان أقل بنسبة ٣٩,٥٣٪ من كود .ASCII
Binary tree untuk masalah huffman dan masalah yosehus
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Fragmented Huffman-Based Compression Methodology for CNN Targeting Resource-Constrained Edge Devices
No full textIn this paper, we introduce a fragmented Huffman compression methodology for compressing convolution neural networks executing on edge devices. Present scenario demands deployment of deep networks on edge devices, since application needs to adhere to low latency, enhanced security and long-term cost effectiveness. However, the primary bottleneck lies in the expanded memory footprint on account of the large size of the neural net models. Existing software implementation of deep compression strategies do exist, where Huffman compression is applied on the quantized weights, reducing the deep neural network model size. However, there is a further possibility of compression in memory footprint from a hardware design perspective in edge devices, where our proposed methodology can be complementary to the existing strategies. With this motivation, we proposed a fragmented Huffman coding methodology, that can be applied to the binary equivalent of the numeric weights of a neural network model stored in device memory. Subsequently, we also introduced the static and dynamic storage methodology on device memory space which is left behind even after storing the compressed file, that led to a big reduction in area and energy consumption of approximately 38% in case of dynamic storage methodology in comparison with static one. To the best of our knowledge, this is the first study where Huffman compression technique has been revisited by applying it to compress binary files, from a hardware design perspective, based on multiple bit pattern sequences, to achieve a maximum compression rate of 64%. A compressed hardware memory architecture and a decompression module design has also been undertaken, being synthesized at 500 MHz, using GF 40-nm low-power cell library with a nominal voltage of 1.1 V achieving a reduction of 62% dynamic power consumption with a decompression time of about 63 microseconds (μ s) without trading-off accuracy. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature
Election Wrap Up
No full textA review of the election returns, both nationally and in Mississippi. -- Will Feltus of Washington, D.C., a former member of Sen. Thad Cochran\u27s staff, is a Republican consultant specializing in media research and advertising. -- Alan Huffman and Michael Rejebian, partners in a Jackson political research firm, are former journalists who are authors of a book published this year, We\u27re With Nobody, which describes their work in opposition research for Democratic candidates. -- Curtis Wilkie, who is a senior fellow at the Overby Center, has covered eight presidential campaigns as national political correspondent for the Boston Globe and is author of three books. Charles Overby moderates
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