Production control is an essential component of a production system used to monitor and manage production orders. Centrally controlled production systems rely on basic data management, such as storing the bill of materials and required work schedules. Components of customer orders are added to generate the corresponding production orders. However, this type of production control can pose serious problems in case of unforeseen events such as machine failure or changing customer requirements during production. In such scenarios, costly and time-consuming re-scheduling becomes necessary, which endangers the company's competitive position and leads to data retention issues. This paper introduces a new method of production control based on the concept of smart orders. Smart orders use smart contracts for autonomous routing based on programmed information in the source code, enabling self-control through the production system. Smart contracts are transaction programs that work with ‘if-then logic”, allowing for partially flexible process schedules and reducing the need for human intervention. The smart order uses the functionalities of blockchain technology, such as security, transparency, and immutability, to ensure the integrity of production data. The paper concludes by presenting the expected value propositions of smart order-based production control on the production system. Depending on the production control system used, companies can integrate the results presented in this paper into their own blockchain implementation strategy.
After the invention of Bitcoin by a man named Satoshi Nakamoto along with other blockchain-based person-to-person payment systems, the cryptocurrency market has instantly gained popularity. Because of this, that is, the volatility of the various cryptocurrency prices. This attracts much attention from both the investors and the researchers. The task of forecasting the prices of crypto-currencies because of the static prices and the arbitrary effects in the market is quite challenging. Cryptocurrency price forecasting models that are available now mainly focus on analyzing extrinsic factors, like macro-financial indicators, data linked to the blockchain, and data from social media – with the goal of enhancing the prediction accuracy. However, the intrinsic noise present in the raw data, caused by market and political conditions worldwide, is complex to interpret. In our research we propose a multiple input convolutional neural network model, specifically a convolutional neural network model for the prediction of future cryptocurrency price. Generally, RNNs and LSTMs are used for problems dealing with timeseries data. We used the concept of residual networks on 1-Dimensional convolutional networks to solve the problem of predicting the price of Bitcoin, the most popular cryptocurrency out there at the moment. Furthermore, we conduct additional experiments on ether, the cryptocurrency of Ethereum to further confirm that even CNNs can work equally well, if not better in comparison to the widely used LSTM neural network models.
The Merkle trees are a type of structure that provides for the efficient and secure authentication of vast amounts of data and is a key component of blockchain technology. This is used in distribution systems to ensure that data is authenticated effectively. This technology is used by Ethereum and Bitcoin. It is incredibly efficient because it uses hashes instead than whole files. The Merkle tree is an essential component of blockchain technology. It’s an arithmetic data structure made up of hashes of various data blocks that serves as a summary of all transactions in a block. It also enables well-organized and secure content verification in large amounts of data. It also aids in validating the data’s consistency and content. Merkle Trees are used by Bitcoin and Ethereum.
Open access
Advanced Steganography and Watermarking Techniques
One of the most important inventions and innovative developments playing an important role in the business world today is blockchain technology.Blockchain technology can be defined as a peer-to-peer distributed ledger database that is verifiable by parties and cannot be permanently updated.The hereditary features like data integrity and immutability in Blockchain is to optimize the processing model in several domains, such as financial services, healthcare, educational system, IoT, supply chain and many more.A decentralized blockchain system in which products are anti-counterfeit and manufacturers can use this system to supply genuine products without managing directly operated stores.The main objective of this study is to present a detailed overview of the use of blockchain technology in supply chain management systems.The present study examines all the relevant research done in the field related to the application of blockchain technology in supply chain operations.
Mohammed Alsaqer, Majid H. Alsulami, Rami N. Alkhawaji, Abdulellah A. Alaboudi
Blockchain technology has revolutionized conventional trade. The success of blockchain can be attributed to its distributed ledger characteristic, which secures every record inside the ledger using cryptography rules, making it more reliable, secure, and tamper-proof. This is evident by the significant impact that the use of this technology has had on people connected to digital spaces in the present-day context. Furthermore, it has been proven that blockchain technology is evolving from new perspectives and that it provides an effective mechanism for the intelligent transportation system infrastructure. To realize the full potential of the accurate and efficacious use of blockchain in the transportation sector, it is essential to understand the most effective mechanisms of this technology and identify the most useful one. As a result, the present work offers a priority-based methodology that would be a useful reference for security experts in managing blockchain technology and its models. The study uses the hesitant fuzzy analytical hierarchy process for prioritizing the different blockchain models. Based on the findings of actual performance, alternative solution A1 which is Private Blockchain model has an extremely high level of security satisfaction. The accuracy of the results has been tested using the hesitant fuzzy technique for order of preference by similarity to the ideal solution procedure. The study also uses guidelines from security researchers working in this domain.
Abstract Blockchain (BC) represents a disruptive technology that has been extensively used to ensure immutability of digital transactions. Starting as an underlying mechanism in the digital currency sector, it has been applicable in a wide range of sectors and application domains. Agricultural sector represents a sector of significance for overall sustainability challenges that is benefiting from digitalization and technological evolution and the enforcement of Industry 4.0 paradigm shift towards precision agriculture. Introduction of Internet of Things, and Cyber-Physical Systems increase overall complexity, with Big Data analysis and Machine Learning technologies providing innovative applications. BC appears to be a promising technology for agriculture providing mechanisms for tracing of products and overall agricultural supply chain (SC) management from the farm to the fork. Authors investigate the challenges and open issues for the application of BC in agriculture performing a state of the art analysis along the PESTELS framework. A large number of challenges including technological ones, creates big research potential for the evolution of the area.