The article considers a variant of the intersection method proposed for solving basic problems in columns-based intelligent systems. In these systems, basic problems serve as the basis for solving ...all other problems. Basic concepts and definitions are given. The formulation of basic problems is described and their solution is given using a general universal method based on element-by-element comparison of patterns. Further, the solution of basic problems using the intersection method for patterns in the form of finite unordered sets and finite sequences or vectors is considered The type of intersection used, the memorization operations are considered in detail, the necessary conditions are indicated, under which the correctness of the operation of the intersection method is proved. An estimate of the computational efficiency of the intersection method in comparison with the method based on element-by-element pattern comparison is given. In conclusion, the possibility of parallelizing calculations in solving basic problems, including basic problems for pattern regions, is shown.
Upon concluding a meeting, participants can occasionally leave with different understandings of what had been discussed. Detecting inconsistencies in understanding is a desired capability for an ...intelligent system designed to monitor meetings and provide feedback to spur stronger shared understanding. In this paper, we present a computational model for the automatic prediction of consistency among team members' understanding of their grou's decisions. The model utilizes dialogue features focused on the dynamics of group decision-making. We trained a hidden Markov model using the AMI meeting corpus and achieved a prediction accuracy of 64.2%, as well as robustness across different meeting phases. We, then, implemented our model in an intelligent system that participated in human team planning about a hypothetical emergency response mission. The system suggested topics that the team would derive the most benefit from reviewing with one another. Through an experiment with 30 participants, we evaluated the utility of such a feedback system and observed a statistically significant increase of 17.5% in objective measures of the teams' understanding compared with that obtained using a baseline interactive system.
INNOVAZIONE E SVILUPPO INDUSTRIALE de Saint Mihiel, Alessandro Claudi
Techne (Florence, Italy : 2011),
01/2020, Letnik:
20
Journal Article
Recenzirano
Odprti dostop
Questa nuova nozione applicata a superfici trasparenti manifesta il livello di contaminazione in atto: la "superficie-limite" favorisce processi di osmosi, di interazione e di comunicazione fra gli ...ambienti da essa interfacciati. Il legame tra facciate di edifici complessi ed energia prodotta da fonti di energia rinnovabili e spesso imprescindibile, anche con riferimento al raggiungimento del sempre piü prossimo obiettivo "zero energy". Il sistema e basato sull'integrazione della tradizionale tistica e con le tecnologie degli intelligent systems finalizzate ad assicurare alti livelli di comfort indoor con ridotti consumi energetici. Da un lato si rinvengono le tematiche della progettazione ambientale in cui la concezione dell'habitat non e limitata ai soli aspetti fisico-formali, ma anche alle determinazioni immateriali del progetto e orientata a un'idea di governance ambientale; dall'altro, si individuano le complesse problematiche delle tecniche e dei materiali innovativi oltre che dei processi, delle metodologie, delle procedure e dei topics per il progetto sostenibile, sviluppate secondo le implicazioni sul progetto e le necessarie modalita del suo controllo tecnico. Obiettivi e risultati Lobiettivo generale e sviluppare un processo che realizzi un prodotto competitivo sul mercato, capace d'integrare la tradizionale componentistica e meccanica con le tecnologie informatiche e degli intelligent systems.
•Adaptive Neuro-Fuzzy Inference System based robust scheme provide more accuracy•Combine features text, images & frames for phishing detection proof more detection•This is the first work that ...reflects the best unified text, image and frame feature•Using SVM for phishing web classification and relate the use with the current result•The proposed solution achieves 98.3% accuracies
A phishing attack is one of the most significant problems faced by online users because of its enormous effect on the online activities performed. In recent years, phishing attacks continue to escalate in frequency, severity and impact. Several solutions, using various methodologies, have been proposed in the literature to counter the web-phishing threats. Notwithstanding, the existing technology cannot detect the new phishing attacks accurately due to the insufficient integration of features of the text, image and frame in the evaluation process. The use of related features of images, frames and text of legitimate and non-legitimate websites and associated artificial intelligence algorithms to develop an integrated method to address these together. This paper presents an Adaptive Neuro-Fuzzy Inference System (ANFIS) based robust scheme using the integrated features of the text, images and frames for web-phishing detection and protection. The proposed solution achieves 98.3% accuracies. To our best knowledge, this is the first work that considers the best-integrated text, image and frame feature based solution for phishing detection scheme.
Tactile sensors are an important medium for artificial intelligence systems to perceive their external environment. With the rapid development of smart robots, wearable devices, and human-computer ...interaction interfaces, flexible tactile sensing has attracted extensive attention. An overview of the recent development in high-performance tactile sensors used for smart systems is introduced. The main transduction mechanisms of flexible tactile sensors including piezoresistive, capacitive, piezoelectric, and triboelectric sensors are discussed in detail. The development status of flexible tactile sensors with high resolution, high sensitive, self-powered, and visual capabilities are focused on. Then, for intelligent systems, the wide application prospects of flexible tactile sensors in the fields of wearable electronics, intelligent robots, human-computer interaction interfaces, and implantable electronics are systematically discussed. Finally, the future prospects of flexible tactile sensors for intelligent systems are proposed.
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