The Core of Double N's Ecosystem
The Double N ecosystem is built on four core fundamentals: IP-based value creation, contribution verification systems, community-driven project development, and transparent reward distribution based on effective engagement. This structure ensures sustainable growth, allowing value generated from entertainment projects to flow back to active contributors in proportion to their accredited participation.
1. Tokenized Real-World Assets (RWAs)
Double N enables the tokenization of real-world assets such as films, web dramas, music, and more, enhancing accessibility for investors.
1.1. Key Tokenized Assets
Film Production Rights: Tokenized rights raise funding for projects, with profits distributed to investors based on success indicators.
Intellectual Property (IP): IP, such as films, web dramas, and music, converted into NFTs and tokens.
Collateralized Loans: Successful IPs or content serve as collateral for loans, offering additional funding opportunities.
1.2. Use Cases
Revenue sharing from box office hits and digital distribution sales.
IP-based derivative product sales (e.g., fan art, NFT merchandise).
2. NFT Integration and Utility
NFTs serve as proof-of-engagement tools, recognizing and rewarding significant participation in project development.
2.1. Core Features
Fan Engagement: Exclusive access to content such as premiere tickets, behind-the-scenes footage, and collectibles.
NFTs in P2E Games: Integrated NFTs provide in-game utility and enhance user experience.
Revenue Sharing: Distribution and digital sales revenue shared with NFT holders.
2.2. Project-Specific NFTs
Unique NFTs issued for each film or drama project.
Exclusive NFT rights (e.g., limited-edition OSTs, early access to distribution rights).
3. Token Economy
The Double N Token ($DNN) serves as the ecosystem's utility token, measuring and enabling participation in entertainment projects.
3.1. Key Functions
Transaction Medium: Used for NFT purchases, P2E game transactions, and Double N-A swaps.
Governance Participation: Enables users to vote on project selection and revenue distribution.
Swap Mechanism: Users can exchange Double N tokens for project-specific tokens such as Double N-A.
3.2. Ecosystem Participation and Reward Model
Revenue Sources: Box office earnings, digital sales, NFT transactions, merchandise sales contribute to the growth of the ecosystem.
Participation Incentives: Double N-A holders receive participation-based rewards and exclusive ecosystem benefits linked to community contributions and platform activities, rather than direct profit distribution based on project performance
4. Transparent Contribution-Based Reward
Double N ensures transparency in contribution-based rewards through blockchain technology, giving users real-time access to financial data.
4.1. Revenue Streams
Film & Drama Distribution: Box office and streaming revenue recorded and transparently utilized to support ecosystem participation incentives.
Merchandise & Fan Art: Additional revenue from digital and physical goods sold to fans.
4.2. Verification & Reporting
Auditing Partners: Collaboration with accounting firms for verified financial reporting.
Integrated Platforms: Users can track revenue flows in real time.
5. Decentralized Governance with DAO
The Double N DAO empowers token holders with decision-making authority over key aspects of the ecosystem.
5.1. Voting Mechanism
Snapshot-Based Voting: Voting rights allocated based on token holdings.
Approval Thresholds: Decisions require a minimum percentage of circulating tokens to vote.
5.2. Governance Scope
Prioritizing projects (e.g., film production, NFT initiatives).
Determining platform revenue reinvestment strategies and discount rates.
6. Integrated dApps
Double N leverages decentralized applications (dApps) to maximize functionality and engagement.
6.1. Transparency Tools
Revenue Tracking: Provides real-time data on project progress and profit sharing.
6.2. FilmFi Portal
Crowdfunding Platform: Gateway for project-specific funding.
7. Sustainable Ecosystem Growth
Double N prioritizes long-term growth through strategic initiatives and partnerships.
7.1. Expanding Partnerships
Global Entertainment Partners: Collaborations with film studios and distributors.
Technology Partners: Partnerships with blockchain solution providers.
7.2. Enhancing Fan & Supporters Engagement
Global Community Building: Strengthening connections between fans, supporters, and creators.
Continuous Innovation: Exploring new creative projects & fan-centric content.
8. Blockchain Structure
Double N operates on a Proof of Stake (PoS) blockchain, where stakeholders (DNN holders) maintain wnetwork security and validate transactions.
Staking Mechanism: Participants stake DNN to secure the network and earn rewards.
Block Production: A block producer is selected based on staked DNN, ensuring fair participation.
9. Maintaining Price Stability with a Decentralized Price Oracle
Double N utilizes a decentralized price oracle and Supply Decision Algorithm (SDA) to adjust token supply dynamically.
9.1. Expanding the Supply
SDA identifies the required additional supply to stabilize prices.
Stakeholders vote on supply expansion using staked DNN.
Newly issued tokens alleviate upward price pressure.
9.2. Contracting the Supply
SDA determines supply reduction requirements.
Bond Issuance: A 14-day bond auction offers guaranteed interest rates.
Buybacks & Token Burns: The treasury buys and burns tokens until price stability is restored.
10. Supply Decision Algorithm (SDA)
The SDA dynamically regulates supply based on market conditions.
Time Series Data Analysis Engine (Deep learning Engine). This engine analyses and processes time series data then computes real time decision through its historical data and decisions. The input for this engine consists of [Price, Volume, PVC, etc.], and the output follows the form of [Tax_rate, Exchange_rate]. With the “Gradient Descent Algorithm”, loss function is computed as Loss = -exp(Profit) with the function of profit as Profit = ( delta P * Decision ) / Volume. The algorithm described above is operated with the AdamOptimizer, and the LSTM Cell is used to analyse and to train time series data.Comment
Classifier, Computation Engine (Probabilistic Engine) Classifier uses the method of the Gaussian Process, GMM, K-MC and the Regression to divide the situation of the coin market and the blockchain using historical data. Through this classified decision, numerical data including information of tax rate and exchange rate is arithmetically operated by computation engine. (3) Reinforcement Learning Engine (RL Engine) The learning of the SDA algorithm is based on the ‘Q-learning’ algorithm based on the value of the ‘Q-function’ of the ‘Deep-Q-Network (DQN)’ that belongs to the ‘Agent’. ‘Agent’ selects the action by the ‘Epsilon greedy method’. This action is applied to the ‘Zipett blockchain environment’ to calculate the ‘Reward (USDZ minting)’ and the ‘Next state’. This history is stored in the ‘Replay memory’ and updates the internal variables of DQN through the ‘Experience replay’ method. In the above learning and internal variable updating process, ‘Q-learning’ is performed through the optimization method by the ‘slope descent method’ as follows.
The diagram below is the structure of the SDA engine and the error function used in the learning.
10.1. Key Functions
Market Detection: Analyzes liquidity, transaction volume, price volatility.
Dynamic Supply Adjustment: Uses machine learning for optimal supply changes.
Consensus-Based Implementation: Decisions validated via Proof of Stake (PoS).
11. Incentives for Double N Stakeholders
Stakeholders play a crucial role in maintaining network security and stability and are rewarded through multiple mechanisms.
Transaction Fees: A portion of transaction fees collected on the network is distributed to stakers based on network activity and transaction volume.
Seigniorage Rewards: During supply expansions, newly minted Double N is allocated to active participants who contribute to the ecosystem through transaction validation, governance participation, or liquidity provision.
Ecosystem Development Incentives: Income generated from the Double N-A ecosystem and related platforms is reinvested into the ecosystem to support future growth, liquidity, and innovation. Active participants receive incentives based on their contributions, such as governance participation.
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