No abstract

No abstract

No abstract

There are two types of content on the blockchain: centralized and decentralized. On centralized video platforms, the platform owner controls most of the content uploaded, rather than the creator. However, some content creators post low-quality content in exchange for free cryptocurrencies, creating a cryptocurrency algorithm that demotivates other content creators. In contrast, decentralized blockchain-based video platforms aim to lessen ad pressure and eliminate intermediaries. On video platforms, copyright violations and the unauthorized dissemination of protected information are also significant issues. Copyright protection, illegitimate access restriction, and legitimate dissemination of video files are necessary to guarantee that authors' original output is appropriately compensated.

Emotional Intelligence provides an impetus for simulating human emotions in systems to make emotionally-sensitive machines. Integrating emotion-based theories and principles maturing with research in affective computing, we propose a novel statistical approach that can evaluate the correlation between different emotional states. It provides a way specialists can address the development of the entire passion experience, as reviewed through self-report. We also represent a three-dimensional model that can accommodate affect variabilities and analyze the distribution of affective states in valence, arousal, and dominance. The main idea is that human emotions can be quantified by measuring their degree of emotions. To the best of our knowledge, this is the first step in this direction, and we have proposed and successfully implemented it to induce feelings in robots and games.