The Timer Compression of Data and Information
The ability to find short representations, i.e. to compress data, is crucial for many intelligent systems. This paper is devoted to data compression and a transform-based quantitative data compression technique involving quick enumeration in a unary-binary time-based numeral system (NS). The symbols...
Uloženo v:
| Vydáno v: | 2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP) s. 455 - 459 |
|---|---|
| Hlavní autoři: | , , |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
| Vydáno: |
IEEE
01.08.2020
|
| Témata: | |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | The ability to find short representations, i.e. to compress data, is crucial for many intelligent systems. This paper is devoted to data compression and a transform-based quantitative data compression technique involving quick enumeration in a unary-binary time-based numeral system (NS). The symbols comprising the alphabets of human-computer interaction languages (HCIL), which are used in an informational message (IM), are collected in primary code tables, such as the ASCII table. The statistical-oriented data compression method using unconventional timer encryption and encoding information are proposed by us. It was constructed probability - discrete model of the set of character sequences and characterized some probabilistic algorithms associated with the recovery of text by its public key and its cipher. We find the possibility of parallel implementation of this method by building a block of timer tags. The necessary estimations of complexity are obtained. The method can be used to compress SMS messages. Probabilistic-statistical analysis and evaluation of their effectiveness are obtained. |
|---|---|
| AbstractList | The ability to find short representations, i.e. to compress data, is crucial for many intelligent systems. This paper is devoted to data compression and a transform-based quantitative data compression technique involving quick enumeration in a unary-binary time-based numeral system (NS). The symbols comprising the alphabets of human-computer interaction languages (HCIL), which are used in an informational message (IM), are collected in primary code tables, such as the ASCII table. The statistical-oriented data compression method using unconventional timer encryption and encoding information are proposed by us. It was constructed probability - discrete model of the set of character sequences and characterized some probabilistic algorithms associated with the recovery of text by its public key and its cipher. We find the possibility of parallel implementation of this method by building a block of timer tags. The necessary estimations of complexity are obtained. The method can be used to compress SMS messages. Probabilistic-statistical analysis and evaluation of their effectiveness are obtained. |
| Author | Skuratovskii, Ruslan Osadchyy, Yevgen Osadchyy, Volodymyr |
| Author_xml | – sequence: 1 givenname: Ruslan surname: Skuratovskii fullname: Skuratovskii, Ruslan organization: NTU "KPI" named by I. Sikorskii and IAPM.,Department of Informatics and computer science,Kiev,Ukraine – sequence: 2 givenname: Yevgen surname: Osadchyy fullname: Osadchyy, Yevgen organization: National University named by Taras Shevchenko,Kiev,Ukraine – sequence: 3 givenname: Volodymyr surname: Osadchyy fullname: Osadchyy, Volodymyr organization: Igor Sikorsky Kyiv Polytechnic Institute,Faculty of Informatics and Computer Engineering,Kyiv,Ukraine |
| BookMark | eNotj81KxDAURiPoQsd5AkHyAq25SSa5XUrHn4ERBet6uG1vMGCTIe3Gt3fAWX1wFofz3YjLlBMLcQ-qBlDNw_bz7cN647DWSqu60cqCdhdi3XgErxGMBmuuRdV9s-zixEW2eToWnueYk8xBbmkhSWmUuxRymWg58VtxFehn5vV5V-Lr-alrX6v9-8uufdxXEQCXahittkPwIzjqjbNo2QwD9jha6EkZ23sg5YMnPMVtnAYI4JAQnfFqQ2Yl7v69kZkPxxInKr-H8wnzB3znP1c |
| ContentType | Conference Proceeding |
| DBID | 6IE 6IL CBEJK RIE RIL |
| DOI | 10.1109/DSMP47368.2020.9204126 |
| DatabaseName | IEEE Electronic Library (IEL) Conference Proceedings IEEE Xplore POP ALL IEEE Xplore All Conference Proceedings IEEE Electronic Library (IEL) IEEE Proceedings Order Plans (POP All) 1998-Present |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| EISBN | 9781728132143 1728132142 |
| EndPage | 459 |
| ExternalDocumentID | 9204126 |
| Genre | orig-research |
| GroupedDBID | 6IE 6IL CBEJK RIE RIL |
| ID | FETCH-LOGICAL-i118t-cd424cf7d16ab36484e3cc8b8d41ba034b71a07f7a802056211f168a8863705a3 |
| IEDL.DBID | RIE |
| IngestDate | Thu Jun 29 18:38:54 EDT 2023 |
| IsPeerReviewed | false |
| IsScholarly | false |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-i118t-cd424cf7d16ab36484e3cc8b8d41ba034b71a07f7a802056211f168a8863705a3 |
| PageCount | 5 |
| ParticipantIDs | ieee_primary_9204126 |
| PublicationCentury | 2000 |
| PublicationDate | 2020-Aug. |
| PublicationDateYYYYMMDD | 2020-08-01 |
| PublicationDate_xml | – month: 08 year: 2020 text: 2020-Aug. |
| PublicationDecade | 2020 |
| PublicationTitle | 2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP) |
| PublicationTitleAbbrev | DSMP |
| PublicationYear | 2020 |
| Publisher | IEEE |
| Publisher_xml | – name: IEEE |
| Score | 1.7771469 |
| Snippet | The ability to find short representations, i.e. to compress data, is crucial for many intelligent systems. This paper is devoted to data compression and a... |
| SourceID | ieee |
| SourceType | Publisher |
| StartPage | 455 |
| SubjectTerms | archiving Block coding Channel coding Complexity theory Data compression data compression algorithm Generators Probabilistic logic Random variables timer coding |
| Title | The Timer Compression of Data and Information |
| URI | https://ieeexplore.ieee.org/document/9204126 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LSwMxEB7a4sGTSiu-ycGjafNqHmdr8aBlQYXeSl4LvWylbv39TXaXiuDFWwiBMDMM35B83wzAvaAihhA8dkaWWNBIsEmJgUUsp8wLJWVomri-qMVCL5em6MHDQQsTY2zIZ3Gcl81fftj4XX4qmxiWu0PJPvSVkq1WqxP9UmIms7fXQiguM2GLkXF3-NfUlAY05if_u-4URj_qO1QccOUMerEaAk7xRFmvsUU5hVv2aoU2JZrZ2iJbBdQpi7KnR_Axf3p_fMbdqAO8ThV-jX0QTPhSBSqt41JoEbn32ukgqLOEC6eoJapUVifbUs1CaUmltlpLrsjU8nMYVJsqXgByxHIbWXK94SIkPOZKT40LqY6LPDB2CcNs6uqz7Wax6qy8-nv7Go6zN1vK2w0M6u0u3sKR_67XX9u7JgR77_2G6w |
| linkProvider | IEEE |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1NSwMxEA21CnpSacVvc_Bo2nzMJtmztVRsS8EKvZVskoVetqVu_f0mu0tF8OIthECYGYY3JO_NIPQIDLxzzpIslTkB5ilJQ2IQ8HnCLSgpXdXEdaymU71YpLMWetprYbz3FfnM9-Ky-st3a7uLT2X9lMfuUPIAHSYAnNZqrUb2y2jaH7xPZqCEjJQtTnvN8V9zUyrYGJ7-78Iz1P3R3-HZHlnOUcsXHURCRHFUbGxxTOKav1rgdY4HpjTYFA432qLo6y76GL7Mn0ekGXZAVqHGL4l1wMHmyjFpMiFBgxfW6kw7YJmhAjLFDFW5MjrYFqoWxnImtdFaCkUTIy5Qu1gX_hLhjBphPA_OTwW4gMhC6STNXKjkvHCcX6FONHW5qftZLBsrr__efkDHo_lkvBy_Tt9u0En0bE2Au0Xtcrvzd-jIfpWrz-19FY5vKlCKMg |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2020+IEEE+Third+International+Conference+on+Data+Stream+Mining+%26+Processing+%28DSMP%29&rft.atitle=The+Timer+Compression+of+Data+and+Information&rft.au=Skuratovskii%2C+Ruslan&rft.au=Osadchyy%2C+Yevgen&rft.au=Osadchyy%2C+Volodymyr&rft.date=2020-08-01&rft.pub=IEEE&rft.spage=455&rft.epage=459&rft_id=info:doi/10.1109%2FDSMP47368.2020.9204126&rft.externalDocID=9204126 |