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Data Compression for Remote Laboratories
Paper—Data Compression for Remote Laboratories Data Compression for Remote Laboratories https://doi.org/10.3991/ijim.v11i4.6743 Olawale B. Akinwale Obafemi Awolowo University, Ile-Ife, Nigeria [email protected] Lawrence O. Kehinde Obafemi Awolowo University, Ile-Ife, Nigeria [email protected] Abstract—Remote laboratories on mobile phones have been around for a few years now. This has greatly improved accessibility of these remote labs to students who cannot afford computers but have mobile phones. When money is a factor however (as is often the case with those who can’t afford a computer), the cost of use of these remote laboratories should be minimized. This work ad- dressed this issue of minimizing the cost of use of the remote lab by making use of data compression for data sent between the user and remote lab. Keywords—Data compression; Lempel-Ziv-Welch; remote laboratory; Web- Sockets 1 Introduction The mobile phone is now the de facto computational device of choice. They are quite powerful, connected devices which are almost always with us. This is so much so that about every important online service has a mobile version or at least a version compatible with mobile phones and tablets (for this paper we would adopt the phrase mobile device to represent mobile phones and tablets). This has caused online labora- tory developers to develop online laboratory solutions which are mobile device- friendly [1, 2, 3, 4, 5, 6, 7, 8]. One of the main benefits of online laboratories is the possibility of using fewer re- sources to serve more people i.e. -
Overview of the ASPIRE Project June 12-16, 2017 - the Hague, NL
14th International Planetary Probes Workshop Overview of the ASPIRE Project June 12-16, 2017 - The Hague, NL. Clara O’Farrell, Ian Clark & Mark Adler Jet Propulsion Laboratory, California Institute of Technology © 2017 California Institute of Technology. Government Sponsorship Acknowledged. ASPIRE Disk-Gap-Band (DGB) Parachute Heritage MSL (2012) MER (2004) • Developed in the 60s & 70s Viking (1974) for Viking – High Altitude Testing – Wind Tunnel Testing – Low Altitude Drop • Successfully used on 5 Mars missions – Leveraged Viking development Viking BLDT Test MER Drop Test MSL Wind Tunnel Test Image credit: mars.nasa.gov June 12-16, 2017 14th International Planetary Probes Workshop 2 jpl.nasa.gov Aerospace in recent DGB designs: Clark & Tanner, IEEE Broadcloth stress Conference Paper 2466 (2017): (per unit length) Broadcloth ultimate load estimated by treating the disk as a pressure vessel: Disk diameter have been eroding jpl.nasa.gov 3 180 Actual Flight Load ASPIRE 160 Parachute Design Load Broadcloth Ultimate Load DGB Heritage & Design Margins Strength margins may 140 f b l 120 • 3 0 1 x , 100 d a o L e 80 t u h c a r 60 a P 40 parachutes well below those achieved in supersonic tests 20 stresses seen in subsonic testing may not bound the 14th International Planetary Probes Workshop -Densityringsail Supersonic0 Decelerators Project saw failures of two 9. 19 12 12 12 S V V V V P S O P M 1 . P ik ik ik ik at pi p ho S m 7 2 2 2 E i i i i h r p e L m m m m D n n n n f it o n M - g g g g in rt i 1 M M M M II A A I I d u x . -
Concepts and Approaches for Mars Exploration1
June 24, 2012 Concepts and Approaches for Mars Exploration1 ‐ Report of a Workshop at LPI, June 12‐14, 2012 – Stephen Mackwell2 (LPI) Michael Amato (NASA Goddard), Bobby Braun (Georgia Institute of Technology), Steve Clifford (LPI), John Connolly (NASA Johnson), Marcello Coradini (ESA), Bethany Ehlmann (Caltech), Vicky Hamilton (SwRI), John Karcz (NASA Ames), Chris McKay (NASA Ames), Michael Meyer (NASA HQ), Brian Mulac (NASA Marshall), Doug Stetson (SSECG), Dale Thomas (NASA Marshall), and Jorge Vago (ESA) Executive Summary Recent deep cuts in the budget for Mars exploration at NASA necessitate a reconsideration of the Mars robotic exploration program within NASA’s Science Mission Directorate (SMD), especially in light of overlapping requirements with future planning for human missions to the Mars environment. As part of that reconsideration, a workshop on “Concepts and Approaches for Mars Exploration” was held at the USRA Lunar and Planetary Institute in Houston, TX, on June 12‐14, 2012. Details of the meeting, including abstracts, video recordings of all sessions, and plenary presentations, can be found at http://www.lpi.usra.edu/meetings/marsconcepts2012/. Participation in the workshop included scientists, engineers, and graduate students from academia, NASA Centers, Federal Laboratories, industry, and international partner organizations. Attendance was limited to 185 participants in order to facilitate open discussion of the critical issues for Mars exploration in the coming decades. As 390 abstracts were submitted by individuals interested in participating in the workshop, the Workshop Planning Team carefully selected a subset of the abstracts for presentation based on their appropriateness to the workshop goals, and ensuring that a broad diverse suite of concepts and ideas was presented. -
Nxadmin CLI Reference Guide Unity Iv Contents
HYPER-UNIFIED STORAGE nxadmin Command Line Interface Reference Guide NEXSAN | 325 E. Hillcrest Drive, Suite #150 | Thousand Oaks, CA 91360 USA Printed Thursday, July 26, 2018 | www.nexsan.com Copyright © 2010—2018 Nexsan Technologies, Inc. All rights reserved. Trademarks Nexsan® is a trademark or registered trademark of Nexsan Technologies, Inc. The Nexsan logo is a registered trademark of Nexsan Technologies, Inc. All other trademarks and registered trademarks are the property of their respective owners. Patents This product is protected by one or more of the following patents, and other pending patent applications worldwide: United States patents US8,191,841, US8,120,922; United Kingdom patents GB2466535B, GB2467622B, GB2467404B, GB2296798B, GB2297636B About this document Unauthorized use, duplication, or modification of this document in whole or in part without the written consent of Nexsan Corporation is strictly prohibited. Nexsan Technologies, Inc. reserves the right to make changes to this manual, as well as the equipment and software described in this manual, at any time without notice. This manual may contain links to web sites that were current at the time of publication, but have since been moved or become inactive. It may also contain links to sites owned and operated by third parties. Nexsan is not responsible for the content of any such third-party site. Contents Contents Contents iii Chapter 1: Accessing the nxadmin and nxcmd CLIs 15 Connecting to the Unity Storage System using SSH 15 Prerequisite 15 Connecting to the Unity -
Zlib Home Site
zlib Home Site http://zlib.net/ A Massively Spiffy Yet Delicately Unobtrusive Compression Library (Also Free, Not to Mention Unencumbered by Patents) (Not Related to the Linux zlibc Compressing File-I/O Library) Welcome to the zlib home page, web pages originally created by Greg Roelofs and maintained by Mark Adler . If this page seems suspiciously similar to the PNG Home Page , rest assured that the similarity is completely coincidental. No, really. zlib was written by Jean-loup Gailly (compression) and Mark Adler (decompression). Current release: zlib 1.2.6 January 29, 2012 Version 1.2.6 has many changes over 1.2.5, including these improvements: gzread() can now read a file that is being written concurrently gzgetc() is now a macro for increased speed Added a 'T' option to gzopen() for transparent writing (no compression) Added deflatePending() to return the amount of pending output Allow deflateSetDictionary() and inflateSetDictionary() at any time in raw mode deflatePrime() can now insert bits in the middle of the stream ./configure now creates a configure.log file with all of the results Added a ./configure --solo option to compile zlib with no dependency on any libraries Fixed a problem with large file support macros Fixed a bug in contrib/puff Many portability improvements You can also look at the complete Change Log . Version 1.2.5 fixes bugs in gzseek() and gzeof() that were present in version 1.2.4 (March 2010). All users are encouraged to upgrade immediately. Version 1.2.4 has many changes over 1.2.3, including these improvements: -
Arthur C. Clarke 2001: a Space Odyssey
Volume 33, Issue 2 AIAAAIAA HoustonHouston SectionSection www.aiaa-houston.orgwww.aiaa-houston.org April 2008 Arthur C. Clarke 1917 - 2008 2001: A Space Odyssey - 40 Years Later Yesterday’s Tomorrow Artwork by Jon C. Rogers and Pat Rawlings AIAA Houston Horizons April 2008 Page 1 April 2008 T A B L E O F C O N T E N T S From the Acting Editor 3 HOUSTON Chair’s Corner 4 2001: A Space Odyssey - 40 Years Later: Yesterday’s Tomorrow 5 Horizons is a quarterly publication of the Houston section of the American Institute of Aeronautics and Astronautics. International Space Activities Committee (ISAC) 14 Arthur C. Clarke: A Prophet Vindicated by Gregory Benford 16 Acting Editor: Douglas Yazell [email protected] Book Review (Subject: Ellington Field in Houston) & Staying Informed 18 Assistant Editors: Scholarship & Annual Technical Symposium (ATS 2008) 19 Jon Berndt Dr. Rattaya Yalamanchili Lunch-and-Learn Summary: Mars Rovers by Dr. Mark Adler/JPL 20 Don Kulba Robert Beremand Dinner Meeting Summary: John Frassanito & Associates 21 Lunch & Learn: Sailing the Space Station with Zero-Propellant Guidance 22 AIAA Houston Section Executive Council Membership 23 Chair: Douglas Yazell Inaugural Space Center Lecture Series: Harrison Schmitt of Apollo 17 24 Chair-Elect: Chad Brinkley Past Chair: Dr. Jayant Ramakrishnan Yuri’s Night Houston by AAS, co-sponsored by AIAA Houston Section 26 Secretary: Sarah Shull Constellation Earth, Michel Bonavitacola, AAAF , Toulouse, France 27 Treasurer: Tim Propp Calendar 30 JJ Johnson Sean Carter Cranium Cruncher and a Pre-College Event: Engineer for a Day 31 Vice-Chair, Vice-Chair, Operations Branch Technical Branch Odds and Ends: EAA Houston Chapter 12, James C. -
Smaller Flight Data Recorders{
Available online at http://docs.lib.purdue.edu/jate Journal of Aviation Technology and Engineering 2:2 (2013) 45–55 Smaller Flight Data Recorders{ Yair Wiseman and Alon Barkai Bar-Ilan University Abstract Data captured by flight data recorders are generally stored on the system’s embedded hard disk. A common problem is the lack of storage space on the disk. This lack of space for data storage leads to either a constant effort to reduce the space used by data, or to increased costs due to acquisition of additional space, which is not always possible. File compression can solve the problem, but carries with it the potential drawback of the increased overhead required when writing the data to the disk, putting an excessive load on the system and degrading system performance. The author suggests the use of an efficient compressed file system that both compresses data in real time and ensures that there will be minimal impact on the performance of other tasks. Keywords: flight data recorder, data compression, file system Introduction A flight data recorder is a small line-replaceable computer unit employed in aircraft. Its function is recording pilots’ inputs, electronic inputs, sensor positions and instructions sent to any electronic systems on the aircraft. It is unofficially referred to as a "black box". Flight data recorders are designed to be small and thoroughly fabricated to withstand the influence of high speed impacts and extreme temperatures. A flight data recorder from a commercial aircraft can be seen in Figure 1. State-of-the-art high density flash memory devices have permitted the solid state flight data recorder (SSFDR) to be implemented with much larger memory capacity. -
The Pillars of Lossless Compression Algorithms a Road Map and Genealogy Tree
International Journal of Applied Engineering Research ISSN 0973-4562 Volume 13, Number 6 (2018) pp. 3296-3414 © Research India Publications. http://www.ripublication.com The Pillars of Lossless Compression Algorithms a Road Map and Genealogy Tree Evon Abu-Taieh, PhD Information System Technology Faculty, The University of Jordan, Aqaba, Jordan. Abstract tree is presented in the last section of the paper after presenting the 12 main compression algorithms each with a practical This paper presents the pillars of lossless compression example. algorithms, methods and techniques. The paper counted more than 40 compression algorithms. Although each algorithm is The paper first introduces Shannon–Fano code showing its an independent in its own right, still; these algorithms relation to Shannon (1948), Huffman coding (1952), FANO interrelate genealogically and chronologically. The paper then (1949), Run Length Encoding (1967), Peter's Version (1963), presents the genealogy tree suggested by researcher. The tree Enumerative Coding (1973), LIFO (1976), FiFO Pasco (1976), shows the interrelationships between the 40 algorithms. Also, Stream (1979), P-Based FIFO (1981). Two examples are to be the tree showed the chronological order the algorithms came to presented one for Shannon-Fano Code and the other is for life. The time relation shows the cooperation among the Arithmetic Coding. Next, Huffman code is to be presented scientific society and how the amended each other's work. The with simulation example and algorithm. The third is Lempel- paper presents the 12 pillars researched in this paper, and a Ziv-Welch (LZW) Algorithm which hatched more than 24 comparison table is to be developed. -
The Deep Learning Solutions on Lossless Compression Methods for Alleviating Data Load on Iot Nodes in Smart Cities
sensors Article The Deep Learning Solutions on Lossless Compression Methods for Alleviating Data Load on IoT Nodes in Smart Cities Ammar Nasif *, Zulaiha Ali Othman and Nor Samsiah Sani Center for Artificial Intelligence Technology (CAIT), Faculty of Information Science & Technology, University Kebangsaan Malaysia, Bangi 43600, Malaysia; [email protected] (Z.A.O.); [email protected] (N.S.S.) * Correspondence: [email protected] Abstract: Networking is crucial for smart city projects nowadays, as it offers an environment where people and things are connected. This paper presents a chronology of factors on the development of smart cities, including IoT technologies as network infrastructure. Increasing IoT nodes leads to increasing data flow, which is a potential source of failure for IoT networks. The biggest challenge of IoT networks is that the IoT may have insufficient memory to handle all transaction data within the IoT network. We aim in this paper to propose a potential compression method for reducing IoT network data traffic. Therefore, we investigate various lossless compression algorithms, such as entropy or dictionary-based algorithms, and general compression methods to determine which algorithm or method adheres to the IoT specifications. Furthermore, this study conducts compression experiments using entropy (Huffman, Adaptive Huffman) and Dictionary (LZ77, LZ78) as well as five different types of datasets of the IoT data traffic. Though the above algorithms can alleviate the IoT data traffic, adaptive Huffman gave the best compression algorithm. Therefore, in this paper, Citation: Nasif, A.; Othman, Z.A.; we aim to propose a conceptual compression method for IoT data traffic by improving an adaptive Sani, N.S. -
The Illusion of Space and the Science of Data Compression And
The Illusion of Space and the Science of Data Compression and Deduplication Bruce Yellin EMC Proven Professional Knowledge Sharing 2010 Bruce Yellin Advisory Technology Consultant EMC Corporation [email protected] Table of Contents What Was Old Is New Again ......................................................................................................... 4 The Business Benefits of Saving Space ....................................................................................... 6 Data Compression Strategies ....................................................................................................... 9 Data Compression Basics ....................................................................................................... 10 Compression Bakeoff .............................................................................................................. 13 Data Deduplication Strategies .................................................................................................... 16 Deduplication - Theory of Operation ....................................................................................... 16 File Level Deduplication - Single Instance Storage ................................................................. 21 Fixed-Block Deduplication ....................................................................................................... 23 Variable-Block Deduplication .................................................................................................. 24 Content-Aware Deduplication -
Data Compression for Remote Laboratories
CORE Metadata, citation and similar papers at core.ac.uk Provided by Online-Journals.org (International Association of Online Engineering) Paper—Data Compression for Remote Laboratories Data Compression for Remote Laboratories https://doi.org/10.3991/ijim.v11i4.6743 Olawale B. Akinwale Obafemi Awolowo University, Ile-Ife, Nigeria [email protected] Lawrence O. Kehinde Obafemi Awolowo University, Ile-Ife, Nigeria [email protected] Abstract—Remote laboratories on mobile phones have been around for a few years now. This has greatly improved accessibility of these remote labs to students who cannot afford computers but have mobile phones. When money is a factor however (as is often the case with those who can’t afford a computer), the cost of use of these remote laboratories should be minimized. This work ad- dressed this issue of minimizing the cost of use of the remote lab by making use of data compression for data sent between the user and remote lab. Keywords—Data compression; Lempel-Ziv-Welch; remote laboratory; Web- Sockets 1 Introduction The mobile phone is now the de facto computational device of choice. They are quite powerful, connected devices which are almost always with us. This is so much so that about every important online service has a mobile version or at least a version compatible with mobile phones and tablets (for this paper we would adopt the phrase mobile device to represent mobile phones and tablets). This has caused online labora- tory developers to develop online laboratory solutions which are mobile device- friendly [1, 2, 3, 4, 5, 6, 7, 8]. -
Mars Exploration Entry, Descent and Landing Challenges1,2
Mars Exploration Entry, Descent and Landing Challenges1,2 Robert D. Braun Robert M. Manning Georgia Institute of Technology Jet Propulsion Laboratory Atlanta, GA 30332-0150 California Institute of Technology (404) 385-6171 Pasadena, CA 91109 [email protected] (818) 393-7815 [email protected] Abstract—The United States has successfully landed five interesting locations within close proximity (10’s of m) of robotic systems on the surface of Mars. These systems all pre-positioned robotic assets. These plans require a had landed mass below 0.6 metric tons (t), had landed simultaneous two order of magnitude increase in landed footprints on the order of hundreds of km and landed at sites mass capability, four order of magnitude increase in landed below -1 km MOLA elevation due the need to perform accuracy, and an entry, descent and landing operations entry, descent and landing operations in an environment sequence that may need to be completed in a lower density with sufficient atmospheric density. Current plans for (higher surface elevation) environment. This is a tall order human exploration of Mars call for the landing of 40-80 t that will require the space qualification of new EDL surface elements at scientifically interesting locations within approaches and technologies. close proximity (10’s of m) of pre-positioned robotic assets. This paper summarizes past successful entry, descent and Today, robotic exploration systems engineers are struggling landing systems and approaches being developed by the with the challenges of increasing landed mass capability to 1 robotic Mars exploration program to increased landed t while improving landed accuracy to 10’s of km and performance (mass, accuracy and surface elevation).