Seyed Saman Karimi; Tahmoures Sohrabi; Amir Bayat Tork
Abstract
This paper discusses the challenges facing the logistics industry in the global business environment, including issues related to tracking transactions, preserving transaction privacy, and ensuring the security of logistics information. We propose a method for addressing these challenges using a blockchain-based ...
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This paper discusses the challenges facing the logistics industry in the global business environment, including issues related to tracking transactions, preserving transaction privacy, and ensuring the security of logistics information. We propose a method for addressing these challenges using a blockchain-based system that employs a smart contract to control the behaviors of all participants in the logistics and trade process. In the experiment, we use the Solidity programming language to develop a smart contract on Ethereum and tested it for common logistics and transaction uses. The results of related programming and coding in Remix IDE show that the proposed algorithm is highly implementable. To test the smart contract code and validation, we test four main functionalities, which include successful collateral deposit after the customer requests a document, unique token generation, successful payment settlement, and a refund based on dispute handling by the arbitrator. Oyente vulnerability analysis also shows that the code does not suffer security bugs. Therefore, the proposed method can effectively decrease the risk of the logistics and trade process.
Ali Nemati; Ali Alizadeh; Fahime Soltanian
Abstract
This paper presents a numerical solution of a class of fractional optimal control problems (FOCPs) in a bounded domain having a noise function by the spectral Ritz method. The Bernstein polynomials with the fractional operational matrix are applied to approximate the unknown functions. ...
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This paper presents a numerical solution of a class of fractional optimal control problems (FOCPs) in a bounded domain having a noise function by the spectral Ritz method. The Bernstein polynomials with the fractional operational matrix are applied to approximate the unknown functions. By substituting these estimated functions into the cost functional, an unconstrained nonlinear optimization problem is achieved. In order to solve this optimization problem, the Matlab software and its optimization toolbox are used. In the considered FOCP, the performance index is expressed as a function of both state and control functions. The method is robust enough because of its computational consistency in the presence of the noise function. Moreover, the proposed scheme has a good pliability satisfying the given initial and boundary conditions. At last, some test problems are investigated to confirm the efficiency and applicability of the new method.
