查看更多>>摘要：New study results on artificial intelligence have been published. According to news reporting originating from Ancona, Italy, by NewsRx correspondents, research stated, “In a seismic context, it is fundamental to deploy distributed sensor networks for Structural Health Monitoring (SHM).” Funders for this research include Recity. Our news editors obtained a quote from the research from Marche Polytechnic University: “Indeed, regularly gathering data from a structure/infrastructure gives insight on the structural health status, and Artificial Intelligence (AI) technologies can help in exploiting this information to generate early warnings useful for decision-making purposes. With a perspective of developing a remote monitoring platform for the built environment in a seismic context, the authors tested self-sensing concrete beams in loading tests, focusing on the measured electrical impedance. The formed cracks were objectively assessed through a vision-based system. Also, a comparative analysis of AI-based and statistical prediction methods, including Prophet, ARIMA, and SARIMAX, was conducted for predicting electrical impedance. Results show that the real part of electrical impedance is highly correlated with the applied load (Pearson’s correlation coefficient >0.9); hence, the piezoresistive ability of the manufactured specimens has been confirmed.”
查看更多>>摘要：New research on Machine Learning is the subject of a report. According to news originating from New Haven, United States, by NewsRx correspondents, research stated, “Sickle cell disease (SCD) is a genetic disorder characterized by abnormal hemoglobin and deformation of red blood cells (RBCs), leading to complications and reduced life expectancy. This study developed an in-vitro assessment, the Sickle Erythrocyte Health Index, using quantitative phase imaging (QPI) and machine learning to model the health of RBCs in people with SCD.” Our news journalists obtained a quote from the research, “The Health Index combines assessment of cell deformation, sickle-shaped classification, and membrane flexibility to evaluate erythrocyte health. Using QPI and image processing, the percentage of sickle-shaped cells and membrane flexibility were quantified. Statistically significant differences were observed between individuals with and without SCD, indicating the impact of underlying pathophysiology on erythrocyte health. Additionally, sodium metabisulfite led to an increase in sickle-shaped cells and a decrease in flexibility for the sickle cell blood samples. Based on these findings, two approaches were used to calculate the Index: one using hand-crafted features and one using learned features from deep learning models. Both indices showed significant differences between non-SCD and SCD groups and sensitivity to changes induced by sodium metabisulfite. The Sickle Erythrocyte Health Index has important clinical implications for SCD management and could be used by providers when making treatment decisions.”
查看更多>>摘要：New research on Robotics is the subject of a report. According to news reporting from Mianyang, People’s Republic of China, by NewsRx journalists, research stated, “Accidental loss of radioactive sources can pose a significant threat to human health and the ecological environment. This paper proposes a distributed collaborative decision algorithm for multi-robot radioactive source search to solve this problem.” Funders for this research include National Natural Science Foundation of China (NSFC), Natural Science Foundation of Sichuan Province. The news correspondents obtained a quote from the research from the Southwest University of Science and Technology, “The algorithm utilizes a Gaussian parameter fusion method based on cognitive consistency to estimate the posterior probability distribution of source parameters within a Bayesian framework. Also, the algorithm enhances the cognitive consistency of robots through the fusion of shared Gaussian distribution parameters and cognitive difference variables. Each robot calculates a reward function for its next action based on the deviation angle and distance. In addition, the proposed algorithm uses a distributed collaborative search strategy to guide the robot’s search through the robot’s behavioral decisions and behavioral decisions from neighboring robots. Experimental results show that the algorithm achieves a mean search time of only 1.74s and a 100% search success rate.”
查看更多>>摘要：New research on Robotics is the subject of a report. According to news reporting originating from Changzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Modeling and control methods for stiffness-tunable soft robots (STSRs) have received less attention compared to standard soft robots. A major challenge in controlling STSRs is their infinite degrees of freedom, similar to standard soft robots.” Financial supporters for this research include Changzhou Science and Technology Plan Project, Suzhou Key Industrial Technology Innovation Forward-Looking Application Research Project, Jiangsu special project for frontier leading base technology, Fundamental Research Funds for Central Universities, Changzhou City Social Development Science and Technology Support Plan Project, QingLan Project of Jiangsu Universities,and The Basic Science (Natural Science) Research Project of Jiangsu Higher Education Institutions.
查看更多>>摘要：Research findings on Robotics are discussed in a new report. According to news reporting originating in Tianjin, People’s Republic of China, by NewsRx journalists, research stated, “Force perception is one of the important research branches in human-computer interaction and compliant control of contact-rich robots. Force perception without robot end-effector sensors has attracted increasing attention in recent years, but the existing research methods do not consider the feature selection of variables in the process, and redundant dimension will increase the force perception cost of robots.” Funders for this research include National Natural Science Foundation of China (NSFC), National Natural Science Foundation of China (NSFC). The news reporters obtained a quote from the research from the Tianjin University of Technology, “To solve the above problems, we propose a new algorithm framework of Reinforcement Learning Neural Network (RLNN), which can realize the force perception of contact-rich robot. And it has the advantages of dimensionality optimization of input variables and lightweight network structure. Feature selection experiment, network structure experiment and different variable prediction experiment are conducted respectively, which proves the feasibility of our proposed algorithm framework.”
查看更多>>摘要：Researchers detail new data in Robotics. According to news originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Robots are now working more and more closely with humans outside of traditional fences in industrial scenes. Their real-time tactile interaction perception is crucial to the safety of human-robot collaboration (HRC).” Financial supporters for this research include National Natural Science Foundation of China (NSFC), National Key Research and Development Program of China, Science & Technology Commission of Shanghai Municipality (STCSM), Fundamental Research Funds for the Central Universities. Our news journalists obtained a quote from the research from Tongji University, “In this work, we present a customized, wearable, and modular robot skin (TacSuit), which is scalable for large-area surface coverage of robot with easily accessible multimodal sensors, including pressure, proximity, acceleration, and temperature sensors. The TacSuit is co-designed for mechanical structure and data fusion algorithm, consisting of three levels of design: sensor, cell (of multimodal sensors), and block (of multiple cells). These sensors are stored with custom-designed and 3-D printed capsules to achieve the conformity, scalability, and easy installation to the arbitrary robot surface. A multilevel event-driven data fusion algorithm enables efficient information processing for large number of tactile sensors. Furthermore, a virtual interaction force fusion method takes both the proximity and force perception information into consideration in order to achieve safety of whole interaction process before and after direct physical contacts. A humanoid robotic platform successfully realizes the TacSuit wear of 159 tactile cells.”
查看更多>>摘要：New research on Machine Learning is the subject of a report. According to news originating from Changsha, People’s Republic of China, by NewsRx correspondents, research stated, “Due to the broad interest in using biochar from biomass pyrolysis for the adsorption of heavy metals (HMs) in wastewater, machine learning (ML) has recently been adopted by many researchers to predict the adsorption capacity (e) of HMs on biochar. However, previous studies focused mainly on developing different ML algorithms to increase predictive performance, and no study shed light on engineering features to enhance predictive performance and improve model interpretability and generalizability.” Our news journalists obtained a quote from the research from Central South University, “Here, based on a dataset widely used in previous ML studies, features of biochar were engineered-elemental compositions of biochar were calculated on mole basis-to improve predictive performance, achieving test R of 0.997 for the gradient boosting regression (GBR) model. The elemental ratio feature (H-O-2N)/C, representing the H site links to C (non-active site to HMs), was proposed for the first time to help interpret the GBR model. The (H-O-2N)/C and pH of biochar played essential roles in replacing cation exchange capacity (CEC) for predicting e. Moreover, expanding the coverages of variables by adding cases from references improved the generalizability of the model, and further validation using cases without CEC and specific surface area (R 0.78) and adsorption experimental results (R 0.72) proved the ML model desirable.”
查看更多>>摘要：A new study on Machine Learning is now available. According to news reporting originating from College Station, Texas, by NewsRx correspondents, research stated, “The current work presents a Dynamic Domino Effect Assessment (D2EA) methodology for chemical storage tank farms. While the application of the proposed approach is focused on atmospheric tanks, it applies as well to pressurized tanks.” Financial support for this research came from Mary Kay O’Connor Process Safety Center (MKOPSC) at Texas A & M University, TX, USA. Our news editors obtained a quote from the research from Texas A&M University, “It utilizes the temperature and time-dependent material strength property (yield strength) as a structural health indicator. The D2EA methodology uses random forest (RF) and feed-forward neural network (FFNN) to predict yield strength during fire exposure and applies the predicted yield strength to dynamic failure assessment. A lumped parameter model generates datasets to train the dynamic failure prediction model. Two case studies have been used to demonstrate how the method can be used. The results suggest that RF and FFNN can predict gamma distribution-aided dynamic failure probability assessment. The RF is a better tool than FFNN due to its lower computational cost and good performance.”
查看更多>>摘要：Research findings on artificial intelligence are discussed in a new report. According to news originating from Manchester, United Kingdom, by NewsRx correspondents, research stated, “By adopting a systematic literature and science mapping review, this paper aims to explore the impact of artificial intelligence (AI) on organizational justice and project performance.” Funders for this research include Jiangsu Provincial Qinglan Project of China. The news reporters obtained a quote from the research from University of Manchester: “A total of 47 bibliographic records from the Scopus database were analyzed. The results revealed the annual publication trends of research articles and relevant peer-reviewed journals in the studied domain. It was found that while AI technology has made significant progress in several fields, its application areas in project management and organizational justice are still relatively low. Moreover, it objectively discussed the co-occurrence analysis of keywords, co-authors, countries/regions, and documents in the fields, revealing the current research topics. The main research topics include the (1) AI’s influence on organizational justice, decision analysis, and digital transformation, (2) fostering organizational justice and AI’s role in enhancing project performance, and (3) improving organizational performance approaches.”
查看更多>>摘要：Investigators publish new report on Central Nervous System Diseases and Conditions - Epilepsy. According to news originating from Columbus, Ohio, by NewsRx correspondents, research stated, “Epilepsy, a complex pathology with various etiological origins, is characterized by producing hyperexcitability in the brain, which can have multiple disruptive symptoms. It impacts about 40 million people worldwide, of which 20 to 30% have chronic and intractable seizures.” Financial supporters for this research include Consejo Nacional de Humanidades, Ciencia y Tecnologia (CONAHCYT) - Mexico, Sistema Nacional de Investigadoras e Investigadores (SNII) - CONAHCYTMexico.
NETL
NSTL
Mdpi
Elsevier
Springer Nature