Pub Date : 2023-05-27DOI: 10.5121/ijist.2023.13301
Manouchehr Amiri
This article introduces a general notion of physical bit information that is compatible with the basics of quantum mechanics and incorporates the Shannon entropy as a special case. This notion of physical information leads to the Binary data matrix model (BDM), which predicts the basic results of quantum mechanics, general relativity, and black hole thermodynamics. The compatibility of the model with holographic, information conservation, and Landauer’s principle are investigated. After deriving the “Bit Information principle” as a consequence of BDM, the fundamental equations of Planck, De Broglie, Bekenstein, and mass-energy equivalence are derived.
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Pub Date : 2023-03-30DOI: 10.5121/ijist.2023.13201
Karimjonova Shahlo Ravshanjonovna
Causation is very important from social and communicative pragmatic point of view and is closely connected with the rapid development of cognitive linguistics. The modern linguistics is characterized by investigating the real task of the language in linguocognitive aspect. This process is focused on putting the cognitive semantics into first place. Investigating the view of the world from the cognitive point of view is taken place in every field of language layer, it is because is given opportunity to learn the essence of the language in every aspect and realizing the main role of the language. Moreover, the basic task of contemporary linguistics, mainly, cognitive linguistics is to investigate the role of human factor in language and realization of language facts.
{"title":"LEXICAL-SEMANTIC MEANINGS AND STYLISTIC FEATURES OF CAUSATIVE VERBS IN UZBEK LANGUAGE","authors":"Karimjonova Shahlo Ravshanjonovna","doi":"10.5121/ijist.2023.13201","DOIUrl":"https://doi.org/10.5121/ijist.2023.13201","url":null,"abstract":"Causation is very important from social and communicative pragmatic point of view and is closely connected with the rapid development of cognitive linguistics. The modern linguistics is characterized by investigating the real task of the language in linguocognitive aspect. This process is focused on putting the cognitive semantics into first place. Investigating the view of the world from the cognitive point of view is taken place in every field of language layer, it is because is given opportunity to learn the essence of the language in every aspect and realizing the main role of the language. Moreover, the basic task of contemporary linguistics, mainly, cognitive linguistics is to investigate the role of human factor in language and realization of language facts.","PeriodicalId":246421,"journal":{"name":"International Journal of Information Sciences and Techniques","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122865216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-30DOI: 10.5121/ijist.2023.13101
Karimjonova Shahlo Ravshanjonovna
In this article the author analyzed the background of causation in linguocognitive aspect. The author compared causative verbs in two languages by translating sentences from English to Uzbek.
{"title":"The Meaning of Causation in Linguocognitive Aspect","authors":"Karimjonova Shahlo Ravshanjonovna","doi":"10.5121/ijist.2023.13101","DOIUrl":"https://doi.org/10.5121/ijist.2023.13101","url":null,"abstract":"In this article the author analyzed the background of causation in linguocognitive aspect. The author compared causative verbs in two languages by translating sentences from English to Uzbek.","PeriodicalId":246421,"journal":{"name":"International Journal of Information Sciences and Techniques","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123933106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This work proposes to recognize a user's commands by analysing his/her brainwaves captured with single channel electroencephalogram (EEG). Whenever a user intends to issue one of the pre-defined commands, the proposed system prompts him/her all the candidate commands in turn. Then, the user is asked to be concentrated as possible as he/she can, when the desired command is shown. It is assumed that the concentration will present a certain pattern of “Yes” in the captured EEG, as opposed to a certain pattern of “No” when the user is relaxed. Accordingly, the task is to determine that the captured EEG is “Yes” or not. This work compares three recognition methods, respectively, based on Gaussian mixture models, hidden Markov models and recurrent neural network, and conducts experiments using 2400 test EEG samples recorded from 10 subjects.
{"title":"Methods of Command Recognition Using Single-Channel EEGs","authors":"Wei-Ho Tsai, Cin-Hao Ma, Varinya Phanichraksaphong","doi":"10.5121/IJIST.2018.8501","DOIUrl":"https://doi.org/10.5121/IJIST.2018.8501","url":null,"abstract":"This work proposes to recognize a user's commands by analysing his/her brainwaves captured with single channel electroencephalogram (EEG). Whenever a user intends to issue one of the pre-defined commands, the proposed system prompts him/her all the candidate commands in turn. Then, the user is asked to be concentrated as possible as he/she can, when the desired command is shown. It is assumed that the concentration will present a certain pattern of “Yes” in the captured EEG, as opposed to a certain pattern of “No” when the user is relaxed. Accordingly, the task is to determine that the captured EEG is “Yes” or not. This work compares three recognition methods, respectively, based on Gaussian mixture models, hidden Markov models and recurrent neural network, and conducts experiments using 2400 test EEG samples recorded from 10 subjects.","PeriodicalId":246421,"journal":{"name":"International Journal of Information Sciences and Techniques","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128956489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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