Highways projects are one of the infrastructure projects with high construction costs. The decision-making process to implement such projects is one of the most important challenges that may face the relevant authorit...
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In this paper, with the coordinate of each station as the decision variable, the cost as the optimization objective, and the inter-station threshold as the constraint condition, the single objective linear programming...
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Reasonable ordering and transshipment solutions can minimize the total cost of the enterprise, this paper establishes a model to provide solutions for the maximization of future operational benefits of production-orie...
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Owing to rapid industrialisation, the need for electrical energy to fulfil the system load demand at the consumer end has increased exponentially. Optimal Power Flow (OPF) techniques play a vital role in power system ...
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In this paper, we first sort out the common film communication media and film communication methods and explore the application of visual language and multimodal discourse analysis based on artificial intelligence in ...
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Artificial intelligence has become the core driving force of a new round of industrial transformation, and scientific and accurate artificial intelligence industry development prediction is of great strategic signific...
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The Philippine swine industry is the largest among the animal industry and is one of the largest contributors to the country's agriculture. Based on the 2020 Swine Annual Situation Report, the volume of production...
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The tariffs of regulated public services under price cap regulation are variables defined in the tariff review process, subject to a major technical complexity and many restrictions. Given the complex scenario that in...
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In this letter, we study data-aided sensing (DAS) for distributed detection in wireless sensor networks (WSNs) when sensors' measurements are correlated. In particular, we derive a node selection criterion based o...
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In this letter, we study data-aided sensing (DAS) for distributed detection in wireless sensor networks (WSNs) when sensors' measurements are correlated. In particular, we derive a node selection criterion based on the J-divergence in DAS for reliable decision subject to a decision delay constraint. Based on the proposed J-divergence based DAS, the nodes can be selected to rapidly increase the log-likelihood ratio (LLR), which leads to a reliable decision with a smaller number of the sensors that upload measurements for a shorter decision delay. From simulation results, it is confirmed that the J-divergence based DAS can provide a reliable decision with a smaller number of sensors compared to other approaches.
There is a wide recognition that Blockchain technology will play a central role in many sectors. In fact, this technology is a promising opportunity to ensure security, traceability, privacy and transparency in most d...
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There is a wide recognition that Blockchain technology will play a central role in many sectors. In fact, this technology is a promising opportunity to ensure security, traceability, privacy and transparency in most digitized human activities. The supply chain of hazardous materials is a typical sensitive industrial activity that requires a high level of vigilance. The various stakeholders of such supply chain need to share crucial data using high secure channels while ensuring traceability. However, Blockchain is currently an energy-intensive technology. In this context, the challenge is to minimize the risk related to the hazardous materials supply chain using an eco-friendly and cost effective Blockchain. In this paper, we propose a green-Blockchain based framework for the hazardous materials supply chain. Two mathematical models are proposed for the energy management consumed by Blockchain transactions. The first one minimizes the total consumed energy by a set of servers by providing the optimal assignment of computing tasks over the time periods, while the second one minimizes both the CO2 emissions and the cost of a grid energy mix. To prove the applicability of the proposed framework, a Blockchain prototype is implemented to simulate an IoT-based supply chain of hazardous materials. The results show that the proposed system may help to ensure the security of dangerous goods transportation. Furthermore, the energy management using optimization modeling would provide CO2 emissions reduction and thus ensure sustainability of Blockchain transactions.
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