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All Journal Indonesian Journal of Data and Science The Indonesian Journal of Computer Science Journal of Social Entrepreneurship Theory and Practice
Mikhaylov, Dmitry
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Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Mathematics Social Sciences

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Personal Voice Assistant: from Inception to Everyday Application Shazhaev, Ilman; Mikhaylov, Dmitry; Shafeeg, Abdulla; Tularov, Arbi; Shazhaev, Islam
Indonesian Journal of Data and Science Vol. 4 No. 2 (2023): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v4i2.69

Abstract

The creation of automatic speech recognition systems is a popular trend in the development of information technology. These technologies are developing at a very fast pace, gradually covering more and more areas: already now we can say how firmly they have settled in our lives. The term "speech technologies" means a fairly large layer of information technologies, but one of the most advanced products in this area is a voice assistant, which includes the use of all types of speech technologies: speech recognition, speech synthesis, a system for developing and analyzing voice information, and voice biometrics. A voice assistant is software that allows you to control your device using voice commands. The range of possibilities does not end with the execution of commands; a modern assistant is even able to maintain a conversation with the user. Since the voice assistant is a complex innovation that consists of many different technologies, the task of a smart assistant is to ensure that they work smoothly with each other. Now there are many voice assistants on the market that can make life easier for a person. Now you don’t have to manually enter a question into a search engine or search for a song, you just need to say what you want, and the voice assistant will find everything on its own. But every year there are more and more assistants and it becomes more and more difficult for the average user to choose, because each assistant has its own characteristics. Nevertheless, the daily use of this technology is becoming more widespread. Another area that is rapidly developing is gaming. Using more and more innovations, the next logical step is to implement a voice assistant, at least at the training stage. However, real progress is out of the question for the time being.
Promoting Scientific Research: rNFT and DeSci Conjunction Mikhaylov, Dmitry; Shafeeg, Abdulla; Shazhaev, Ilman; Tularov, Arbi
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3588

Abstract

NFTs are non-fungible tokens. Like cryptocurrencies, they appeared as a result of the formation of the blockchain. True, unlike, say, Bitcoin, each NFT is unique and has its own value. If one conventional cryptocurrency unit does not differ in any way from another similar one (for example, one Ethereum does not differ in any way from another and is completely interchangeable without loss of value), then the situation is different with NFT. Tokens are used to secure rights to a unique object, such as a digitized work of art or artifacts in video games. Tokens are stored in the blockchain and contain the address of the object. To store the metadata and media to which the tokens are assigned, the InterPlanetary File System (IPFS) file system distributed over many computers is most often used. Farcana has suggested applying the same principle to scientific research. By introducing the MetaDeSci, Farcana has created a space where the gamers, gaming platforms, investors, scientists and universities are capable of using the rNFT to finance research, share data and promote science altogether, maintaining transparency.
DeSci Advancement and Gamification – Virtual University as A Model Mikhaylov, Dmitry; Shafeeg, Abdulla; Shazhaev, Ilman
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3589

Abstract

The existing model for knowledge dissemination that universities and research centers adopt relies on central funding and central repositories of publications and books which are for the most part guarded by pay walls. These central repositories manifest as for-profit Publishing houses. While the editing and peer review processes are fully voluntarily performed by experts in the scientific field, the outcome of the scientific work i.e. the publication remains under the publishing house ownership accessible only by paying an exorbitant fee. In conjunction, conventional brick and mortar universities nowadays stand as the main knowledge creation flocked by students. Again, access to these educational institutions and/or to research funding require substantial effort and/or cost from students and scientists alike. In this work we present a new model for the creation and dissemination of knowledge relying on the DeSci approach and crowd funding. The model circumvents many if not all of the deficiencies of the existing centralized approach.
Decentralized Autonomous Organization (DAO) – A Review Mikhaylov, Dmitry; Shafeeg, Abdulla; Shazhaev, Ilman; Tularov, Arbi
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3590

Abstract

The idea of DAO development is a novel and radical solution to the constant centralization of power and financial capabilities of the world community. Unlike decentralized finance (DeFi) in general, which uses blockchain to replace trusted third parties in banking, lending, investing, and other financial transactions, DAOs use technology to transfer some or all decision-making power from organizations to individuals using a code for setting guidelines, namely how decisions are made and implemented. Investors place their digital assets in liquidity pools using code-driven smart contracts without the need for an intermediary to ensure that all parties meet their obligations. In exchange for their investment, investors receive a token that allows them to participate in the centralized management of the pool, including the ability to vote to choose which beneficiaries receive a portion of the income that becomes a donation and set parameters for smart contracts. And although this scheme, in addition to advantages, has disadvantages, the idea of DAO continues to develop. At the moment, this development is limited only to the digital environment. Yet, the perspective is impressive.
Evaluation of Smart Charity Possibilities in Developing Countries Based on Web3 Trends: Non-Fungible Tokens (NFT) and Smart Contracts Introduction Mikhaylov, Dmitry; Xata, Evgeny; Khamchiev, Abubakar
Journal of Social Entrepreneurship Theory and Practice Vol. 3 No. 1 (2024): July
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/jsetp.v3i1.1771

Abstract

The role of Web3 technologies was examined specifically regarding SmartCharity and their effect on the financing and delivery of public goods in developing countries. The research focused on the case of SmartCharity, its role in making fund distribution more transparent and efficient, and the role of NFTs and smart contracts’ efficacy in changing. For primary data, the cross-sectional study used interviews and questionnaires administered to the critical actors in or close to SmartCharity initiatives; secondary data came from project reports and publicly accessible sources. Quantitative analysis uses statistics to identify trends and correlations in data, whereas qualitative data analysis identifies such trends and patterns. This paper aimed to establish an appreciation of the strengths and weaknesses of Web3 innovation in public good management and make future suggestions for improvement.
Co-Authors Khamchiev, Abubakar Shafeeg, Abdulla Shazhaev, Ilman Shazhaev, Islam Tularov, Arbi Xata, Evgeny