The application of Intelligent Internet of Things(IIoT)in constructing distribution station areas strongly supports platform transformation,upgrade,and intelligent *** sensing layer of IIoT comprises the edge converge...
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The application of Intelligent Internet of Things(IIoT)in constructing distribution station areas strongly supports platform transformation,upgrade,and intelligent *** sensing layer of IIoT comprises the edge convergence layer and the end sensing layer,with the former using intelligent fusion terminals for real-time data collection and ***,the influx of multiple low-voltage in the smart grid raises higher demands for the performance,energy efficiency,and response speed of the substation fusion ***,it brings significant security risks to the entire distribution substation,posing a major challenge to the smart *** response to these challenges,a proposed dynamic and energy-efficient trust measurement scheme for smart grids aims to address these *** scheme begins by establishing a hierarchical trust measurement model,elucidating the trust relationships among smart IoT *** then incorporates multidimensional measurement factors,encompassing static environmental factors,dynamic behaviors,and energy *** comprehensive approach reduces the impact of subjective factors on trust ***,the scheme incorporates a detection process designed for identifying malicious low-voltage end sensing units,ensuring the prompt identification and elimination of any malicious ***,in turn,enhances the security and reliability of the smart grid *** effectiveness of the proposed scheme in pinpointing malicious nodes has been demonstrated through simulation ***,the scheme outperforms established trust metric models in terms of energy efficiency,showcasing its significant contribution to the field.
Satellite image classification is the most significant remote sensing method for computerized analysis and pattern detection of satellite data. This method relies on the image's diversity structures and necessitat...
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Sign language enhances the communication capabilities of the deaf-mute community, allowing for a deeper understanding of their needs and emotions. These languages are highly structured and visual, using gestures and v...
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NiFe layered double hydroxides(NiFe LDHs)have been intensively developed for the oxygen evolution reaction(OER)in alkaline media;however,their unsatisfactory hydrogen evolution reaction(HER)performance limits their pr...
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NiFe layered double hydroxides(NiFe LDHs)have been intensively developed for the oxygen evolution reaction(OER)in alkaline media;however,their unsatisfactory hydrogen evolution reaction(HER)performance limits their practical application in overall water ***,a simple and efficient one-step electrodeposition method is used to accomplish in situ growth of NiFe LDHsNiFe alloy gradient hybrid coatings on a carbon cloth(CC).Within the binder-free electrode,NiFe LDHs nanosheets with a low-crystalline nature exhibit highly active bifunctional OER/HER activities,and the NiFe alloy acts as a stable electron highway and strong skeleton bridge between NiFe LDHs and the *** the electrodes are simultaneously employed as the cathode and anode for overall water splitting,they require low cell potentials of 1.441 V at10 mA·cm^(-2)and 1.703 V at 100 mA·cm^(-2),respectively,and they demonstrate outstanding stability at a current density greater than 100 mA·cm^(-2)for more than 100 *** is one of the best bifunctional OER and HER catalysts for overall water *** lattice defects and surface reconstructions crucially contribute to the bifunctional OER/HER activities of NiFe *** simple and scalable synthesis approach presents an intriguing paradigm for industrial production,and the fabricated electrode has potential application in high-current-density water splitting.
Point cloud object detection is gradually playing a key role in autonomous driving tasks. To address the issue of insensitivity to sparse objects in point cloud object detection, we have made improvements to the voxel...
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With the advancement of automatic navigation, navigation control has become an indispensable core technology in the movement of unmanned vehicles. In particular, research on navigation control in outdoor wooded enviro...
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Incorporation of explainability features in the decision-making web-based systems is considered a primary concern to enhance accountability,transparency,and trust in the ***-domain Sentiment Analysis is a significant ...
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Incorporation of explainability features in the decision-making web-based systems is considered a primary concern to enhance accountability,transparency,and trust in the ***-domain Sentiment Analysis is a significant web-based system where the explainability feature is essential for achieving user *** design methodologies such as object-oriented design methodology(OODM)have been proposed for web-based application development,which facilitates code reuse,quantification,and security at the design ***,OODM did not provide the feature of explainability in web-based decision-making systems.X-OODM modifies the OODM with added explainable models to introduce the explainability feature for such *** research introduces an explainable model leveraging X-OODM for designing transparent applications for multidomain sentiment *** proposed design is evaluated using the design quality metrics defined for the evaluation of the X-OODM explainable model under user *** design quality metrics,transferability,simulatability,informativeness,and decomposability were introduced one after another over time to the evaluation of the X-OODM user *** metrics of accessibility and algorithmic transparency were added to increase the degree of explainability for the *** study results reveal that introducing such explainability parameters with X-OODM appropriately increases system transparency,trustworthiness,and user *** experimental results validate the enhancement of decision-making for multi-domain sentiment analysis with integration at the design level of *** work can be built in this direction by extending this work to apply the proposed X-OODM framework over different datasets and sentiment analysis applications to further scrutinize its effectiveness in real-world scenarios.
Unusual crowd analysis is an important problem in surveillance video due to their features cannot be extracted efficiently on the crowd scenes. To overcome this challenge, this paper introduced the appearance and moti...
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Large language models (LLMs) have recently shown remarkable performance in a variety of natural language processing (NLP) *** further explore LLMs'reasoning abilities in solving complex problems,recent research [1...
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Large language models (LLMs) have recently shown remarkable performance in a variety of natural language processing (NLP) *** further explore LLMs'reasoning abilities in solving complex problems,recent research [1-3]has investigated chain-of-thought (CoT) reasoning in complex multimodal scenarios,such as science question answering (scienceQA) tasks [4],by fine-tuning multimodal models through human-annotated CoT ***,collected CoT rationales often miss the necessary rea-soning steps and specific expertise.
Pretrained language models (PLMs) have shown remarkable performance on question answering (QA) tasks, but they usually require fine-tuning (FT) that depends on a substantial quantity of QA pairs. Therefore, improving ...
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