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All Journal Indonesian Journal of Data and Science The Indonesian Journal of Computer Science
Shafeeg, Abdulla
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Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Mathematics

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Journal : The Indonesian Journal of Computer Science

 1 
Voice Assistant Integrated with Chat GPT Shafeeg, Abdulla; Shazhaev, Ilman; Mihaylov, Dimitry; Tularov, Arbi; Shazhaev, Islam
The Indonesian Journal of Computer Science Vol. 12 No. 1 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i1.3146

Abstract

AI has become deeply ingrained in the everyday life. The matter in question does not only touch upon the mobile phones that almost everyone carries within easy reach. Today, voice assistants and smart speakers are mainly used to turn on music, turn off the lights or forecast the weather. AI chatbots are getting smarter. The use of new technologies and the general development of neural networks makes it possible to chat or answer questions, write a script, a scientific work, or program code. One of the key differences from previous GPTs is that the new version is trained to continue the text and answer questions. The answers that the bot gives surprise users around the world. Yes, there are still questions about these answers and their validity, and everyone is sure that technology needs to be improved. For a technology to become revolutionary, it must find a better, new, breakthrough application. Although no, such an application has already been invented. Farcana decided to combine the functionality of the GPT chatbot and a voice assistant. By offering players a new approach to familiarizing themselves with game mechanics and general account management, Farcana promotes its advantages over others and rapidly contributes to AI's overall development in the digital society.
BCI Tech in Gaming Training and Education Shafeeg, Abdulla; Shazhaev, Ilman; Tularov, Arbi; Shazhaev, Islam; Mihaylov, Dimitry
The Indonesian Journal of Computer Science Vol. 12 No. 2 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i2.3165

Abstract

BCI as a technology has been developing relatively quickly in the past several decades. Numerous gadgets and devices have been presented on the market. Yet, if most of them are related to medicine and partly education, there are not as many which have to do with ultimate gaming. Of course, wearable devices constitute the sphere of medical data acquisition. However, none of them have to do with gaming education and training. This paper presents an overview of the existing BCI models focused on gaming. It suggests an experimental system justifying its necessity in the impact it would have on the gaming world. The utilization of BCI capabilities in developing a relatively new direction can change the sphere of gaming training altogether.
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.
Co-Authors Mihaylov, Dimitry Mikhaylov, Dmitry Shazhaev, Ilman Shazhaev, Islam Tularov, Arbi