The data transmission efficiency of information network has a great impact on the cascade failure of cyberphysical power systems, and this paper proposes a dynamic information network transmission path selection metho...
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This paper is concerned with the distributed optimal coordination problems of microgrid systems over unbalanced digraph where the microgrid systems aim to schedule the active power outputs of the systems to meet the g...
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With the development of modern architecture, indoor refrigeration and air conditioning system has become more and more complex. In these complex systems, the ability to accurately and timely detect and diagnose multip...
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Agriculture is a cornerstone of the Indian economy, with approximately 58% of rural households relying on it as their primary livelihood. Soil moisture is a critical factor in agriculture, affecting plant health, irri...
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This paper presents an innovative approach that combines visual odometry, Inertial Measurement Unit (IMU), and wheel odometry, using the Extended Kalman Filter and Unscented Kalman Filter to enhance mobile robot local...
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The growing demand for recombinant-based products has increased rapidly in recent years. One of the current market scopes is the production of recombinant scorpion antivenoms in E. coli. However, there are limitations...
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ISBN:
(纸本)9783031820724;9783031820731
The growing demand for recombinant-based products has increased rapidly in recent years. One of the current market scopes is the production of recombinant scorpion antivenoms in E. coli. However, there are limitations in real-time quantification of Critical Quality Attributes (CQAs), such as recombinant proteins or biomass concentrations. Soft sensors merge as an alternative to solve this problem. In this work, six data-driven soft sensors were developed for online monitoring of the recombinant protein concentration. First, feature selection methods were tested to determine the relevant online variables to train the soft sensors. Then, the protein experimental dataset was augmented using a hybrid model. The K-Nearest Neighbors (KNN), and the Radial Basis Function (RBF) Support Vector Machine (SVM) obtained the best results with R-2 values higher than 0.996, RMSE and MAE values less than 0.058 and 0.051. However, the KNN soft sensor was computed in less time than the RBF SVM soft sensor. These results show the feasibility of KNN and RBF soft sensors for real-time monitoring of recombinant scorpion antivenoms.
The study suggests using a mix of renewable energy sources to power an AC-DC microgrid. This method may be used to power appliances that need either alternating current (AC) or direct current (DC). The most practical ...
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Image splicing is a process where parts from two or more images are combined to create a single composite image. Since different devices may use varying ISO settings, detecting image splicing could involve analysing t...
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Patient healthcare records face problems related to safety means, one of which is the failure to provide privacy for patients' healthcare records (PHR), to protect them from being viewed by unauthorized users. The...
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The huge progress of ICT is radically changing distributedsystems at their roots, modifying their operation and engineering practices and introducing new non-functional (e.g., security and safety) risks. These risks ...
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ISBN:
(纸本)9798350340754
The huge progress of ICT is radically changing distributedsystems at their roots, modifying their operation and engineering practices and introducing new non-functional (e.g., security and safety) risks. These risks are amplified by the crucial role played by machine learning, on one side, and by the pervasive involvement of users in the system operation, on the other side. Certification techniques have been largely adopted to reduce the above risks, though the recent evolution of distributedsystems towards cloud-edge, IoT, 5G, and machine learning severely hindered certification diffusion and quality. The need of new certification techniques that prove compliance of distributedsystems against non-functional requirements arises and is often pushed by strict laws and regulations. In this paper, we envision a research manifesto for non-functional certification of modern distributedsystems that paves the way for the wide adoption of certification in the real world, also in those domains where certification is not mandatory. Its ultimate goal is to lead to a trustworthy and adaptive ecosystem based on a cost-effective, non-functional certification, where modern system development, assessment, and management are not only ruled by functional requirements. The manifesto discusses the research challenges, a roadmap built on 6 research directions, and a concrete implementation timeline for the roadmap.
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