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    Study Findings from East China Normal University Broaden Understanding of Artificial Intelligence (Artificial Intelligence and Intergenerational Occupational Mobility)

    10-10页
    查看更多>>摘要：Researchers detail new data in Artificial Intelligence. According to news reporting originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Artificial intelligence (AI) has a huge impact on economic development, while the literature focuses on the effect of AI on employment, and little is known about the impact of AI on intergenerational occupational mobility.” Financial support for this research came from Later Funded Major Project of the Ministry of Education of China for Philosophical and Social Science Research. Our news editors obtained a quote from the research from East China Normal University, “Using a large, representative survey of individual-level data from the CGSS database, this paper presents novel evidence on the effect of AI on intergenerational occupational mobility. The results indicate that AI significantly increases intergenerational occupational mobility and induces more upward mobility, which stems from AI-induced demand for more high-skilled labors and changes in occupational task attributes.” According to the news editors, the research concluded: “Furthermore, the effect of AI is heterogeneous for different groups in cognitive ability, family economic conditions, paternal educational attainment, and paternal occupational type.” This research has been peer-reviewed.
      原文链接:
    • NETL
    • NSTL
    • Elsevier

    Researchers from Tampere University Report Findings in Robotics (Lidar-based Online Control Barrier Function Synthesis for Safe Navigation In Unknown Environments)

    11-12页
    查看更多>>摘要：Investigators publish new report on Robotics. According to news originating from Tampere, Finland, by NewsRx correspondents, research stated, “This letter presents a novel extension of the control barrier function (CBF) as the low-level safety controller for autonomous mobile robots navigating in unknown environments. The main challenges of implementing CBF in real-world situations arise from the absence of a model or the lack of an exact one for the environment.” Financial support for this research came from Research Council of Finland. Our news journalists obtained a quote from the research from Tampere University, “Additionally, online learning is needed for the robot to maneuver in an unknown environment which leads to dealing with the sampled data set size, memory, and computational complexity. We address these challenges by designing an online non-parametric LiDAR-based safety function using the Gaussian process (GP). It is both efficient 11 in data size and eliminates the requirement to store previous data. Then, a CBF is synthesized using the proposed safety function to rectify the safe control input.” According to the news editors, the research concluded: “The effectiveness of the LiDAR-based CBF synthesis for navigation in unknown environments was validated by conducting experiments on unicycle-type robots.”
      原文链接:
    • NETL
    • NSTL
    • IEEE

    Technical University Cluj Napoca Details Findings in Machine Learning (Using Machine Learning Algorithms for Natural Habitats Assessment)

    12-13页
    查看更多>>摘要：Investigators discuss new findings in Machine Learning. According to news reporting originating from Baia Mare, Romania, by NewsRx correspondents, research stated, “The potential of AI to process and interpret large volumes of data can provide researchers with a powerful tool to understand and monitor biodiversity on a global scale. In this paper we aimed to identify dominant individual plant species in natural protected habitats.” Financial support for this research came from European Regional Development Fund through the Romania’s Competitiveness Operational Program 2014-2020. Our news editors obtained a quote from the research from Technical University Cluj Napoca, “Mapping the dominant species from the targeted natural habitats was followed by testing machine learning algorithm for differentiating similar species using satellite images. In the end we validated the data generated by machine learning algorithms through extensive field observations. Using the Sentinel-2 mission 10m resolution data and comprehensive field mapping we managed to see different phenology variations between diverse types of plant communities. Using the NDVI and NDII vegetation indexes and Random Forest algorithm during the dominant species phenology stages for each consecutive 10-day periods between May 1st and September 10th, revealed distinct responses to climate fluctuations and environmental factors. The natural habitats different signatures are strongly influenced by their ecological and conservation status and are not yet suitable for identification, but could help improve AI’s automatic detection for multiannual analysis if a favorable conservation trend is reached.”
      原文链接:
    • NETL
    • NSTL

    Findings from Beijing Institute of Technology Has Provided New Data on Robotics (Active Suspension Control With Consensus Strategy for Dynamic Posture Tracking of Wheel-legged Robotic Systems On Uneven Surfaces)

    13-14页
    查看更多>>摘要：Data detailed on Robotics have been presented. According to news reporting originating in Beijing, People’s Republic of China, by NewsRx editors, the research stated, “This work presents a dynamic posture tracking control strategy for wheel-legged systems on uneven surfaces. Based on the kinematic model of a wheel-legged robotic system, the expected positions for the end-effectors of wheellegs are calculated according to posture references and sensor feedback.” Funders for this research include National Key Research and Development Project of China, National Natural Science Foundation of China (NSFC). The news reporters obtained a quote from the research from the Beijing Institute of Technology, “The position control problem for a general wheel-leg is investigated for the active mechanism to imitate a passive suspension and respond to the external contact forces. The position tracking accuracy of the wheel-leg is sacrificed to enhance the compliance performance under rough terrain. Because of the unique contact state with the uneven ground for each wheel-leg, the position responses are different. As a result, the forces from the wheel-legs to the fuselage are inconsistent, which leads to the risk of posture oscillations. Equipping the wheel-legs with an undirected communication network, a consensus scheme for the robotic system is developed with proven global asymptotic stability to improve the posture tracking property. A novel robotic system is established with Stewart-structured wheel-legs, which are connected by a user datagram protocol network.”
      原文链接:
    • NETL
    • NSTL
    • Elsevier

    Studies from Guangdong University of Technology Provide New Data on Machine Learning (Multi-objective Optimizations of Vaporliquid Adjustment Evaporator and Its Machine-learning Based Operational Control Strategy)

    14-15页
    查看更多>>摘要：Current study results on Machine Learning have been published. According to news reporting originating from Guangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “During flow boiling, there exists highly efficient heat transfer peaked at the high vapor quality. The vapor-liquid adjustment evaporator employs the liquid drainage and liquid refilling to redistribute the vapor quality and mass flux.” Funders for this research include Guangdong Basic and Applied Basic Research Foundation, University teachers’ Characteristic Innovation Research Project of Foshan, Supporting Project of Foshan City for Promoting the University Scientific and Technological Achievements to Service Industry in 2021. Our news editors obtained a quote from the research from the Guangdong University of Technology, “In this way, the efficient heat transfer could be repeated, leading to the improved heat transfer capacity and reduced pressure drop at the same time. However, the path arrangement and separation efficiencies have been not mutually coordinated to release the potential of the vapor-liquid adjustment evaporator at various conditions. In this study, a numerical model of this evaporator is developed and verified by experimental data. By implementing the multi-objective optimization algorithm, three optimal layouts, targeting to the lowest pressure drop, the highest heat transfer capacity and the compromised one, are obtained at the design conditions. Comparisons of their local characteristics reveals that the fifth path offers most benefits in terms of 50 % entire heat transfer capacity and up to 73 % reduced pressure drop. At various off-design conditions, the constant separation efficiencies in vapor-liquid adjustment evaporator could lead to the inferior performance to the conventional evaporator.”
      原文链接:
    • NETL
    • NSTL

    Reports on Support Vector Machines from Hunan Institute of Science and Technology Provide New Insights (Heterogeneous Cuckoo Search-based Unsupervised Band Selection for Hyperspectral Image Classification)

    15-16页
    查看更多>>摘要：Current study results on Machine Learning Support Vector Machines have been published. According to news reporting originating from Hunan, People’s Republic of China, by NewsRx correspondents, research stated, “Hyperspectral image (HSI) characteristics of the abundant spectral information are favored by many scholars, but the challenge is how to select relevant features from such high-dimensional data. Band selection (BS), one of the most fundamental dimensionality reduction (DR) techniques, removes redundant bands while providing a subset of bands that can preserve high information content and low noise for further HSI classification.” Financial support for this research came from Scientific Research Fund of Education Department of Hunan Province. Our news editors obtained a quote from the research from the Hunan Institute of Science and Technology, “Cuckoo search (CS) algorithm is well known for its high performance of searching relevant features but struggles to get rid of local extremes in the late iteration. Therefore, in this article, an unsupervised BS method based on the heterogeneous CS algorithm with matched filter (HCS-MF) is proposed for HSI classification, in which an optimization model is constructed based on the sensitivity of the matching filter to noise. To reduce the similarity between selected bands, a mapping method based on neighborhood band grouping (NBG) is proposed. In addition, an automatic recommendation strategy based on sliding spectrum decomposition (SSD) is proposed to determine the minimum recommended number of selected bands in different scenes. The superiority of the selected subset of bands is verified by random forest, support vector machine (SVM), and edge-preserving filtering-based SVM (EPF-SVM) classifiers.”
      原文链接:
    • NETL
    • NSTL
    • IEEE

    Reports from University of Edinburgh Provide New Insights into Robotics and Automation (A Robust Deformable Linear Object Perception Pipeline In 3d: From Segmentation To Reconstruction)

    16-17页
    查看更多>>摘要：Investigators discuss new findings in Robotics Robotics and Automation. According to news reporting originating in Edinburgh, United Kingdom, by NewsRx journalists, research stated, “3D perception of deformable linear objects (DLOs) is crucial for DLO manipulation. However, perceiving DLOs in 3D from a single RGBD image is challenging.” The news reporters obtained a quote from the research from the University of Edinburgh, “Previous DLO perception methods fail to extract a decent 3D DLO model due to different textures, occlusions, sparse and false depth information. To address these problems and provide a more robust DLO perception initialization for downstream tasks like tracking and manipulation in complex scenarios, this letter proposes a 3D DLO perception pipeline to first segment a DLO in 2D images and post-process masks to eliminate false positive segmentation, reconstruct the DLO in 3D space to predict the occluded part of the DLO, and physically smooth the reconstructed DLO.” According to the news reporters, the research concluded: “By testing on a synthetic DLO dataset and further validating on a real-world dataset with seven different DLOs, we demonstrate that the proposed method is an effective and robust 3D perception pipeline solution with better performance on 2D DLO segmentation and 3D DLO reconstruction compared to State-of-the-Art algorithms.” This research has been peer-reviewed.
      原文链接:
    • NETL
    • NSTL
    • IEEE

    Data on Biomarkers Detailed by Researchers at University of Paris Saclay (Identification of Conformational Variants for Bradykinin Biomarker Peptides From a Biofluid Using a Nanopore and Machine Learning)

    17-18页
    查看更多>>摘要：Researchers detail new data in Diagnostics and Screening Biomarkers. According to news reporting from Cergy, France, by NewsRx journalists, research stated, “There is a current need to develop methods for the sensitive detection of peptide biomarkers in complex mixtures of molecules, such as biofluids, to enable early disease detection. Moreover, to our knowledge, there is currently no detection method capable of identifying the different conformations of a peptide biomarker differing by a single amino acid.” Funders for this research include Conseil R?gional, ?le-de-France, Agence Nationale de la Recherche (ANR), Region Ile-de-France. The news correspondents obtained a quote from the research from the University of Paris Saclay, “Single-molecule nanopore sensing promises to provide this level of resolution. In order to be able to identify these differences in a biofluid such as serum, it is necessary to carefully characterize electrical parameters to obtain specific signatures of each biomarker population observed. We are interested here in a family of peptide biomarkers, kinins such as bradykinin and des-Arg9 bradykinin, that are involved in many disabling pathologies (allergy, asthma, angioedema, sepsis, or cancer). We show the proof of concept for direct identification of these biomarkers in serum at the single-molecule level using a protein nanopore. Each peptide exhibits two unique electrical signatures attributed to specific conformations in bulk. The same signatures are found in serum, allowing their discrimination and identification in a complex mixture such as biofluid. To extend the utility of our experimental results, we developed a principal component analysis approach to define the most relevant electrical parameters for their identification. Finally, we used semisupervised classification to assign each event type to a specific biomarker at physiological serum concentration.”
      原文链接:
    • NETL
    • NSTL
    • Amer Chemical Soc

    University College Dublin Researcher Furthers Understanding of Robotics (On the Evaluation of Diverse Vision Systems towards Detecting Human Pose in Collaborative Robot Applications)

    18-19页
    查看更多>>摘要：Research findings on robotics are discussed in a new report. According to news reporting originating from Dublin, Ireland, by NewsRx correspondents, research stated, “Tracking human operators working in the vicinity of collaborative robots can improve the design of safety architecture, ergonomics, and the execution of assembly tasks in a human-robot collaboration scenario.” Funders for this research include European Union Horizon 2020 Framework Programme-project Sherlock. The news reporters obtained a quote from the research from University College Dublin: “Three commercial spatial computation kits were used along with their Software Development Kits that provide various real-time functionalities to track human poses. The paper explored the possibility of combining the capabilities of different hardware systems and software frameworks that may lead to better performance and accuracy in detecting the human pose in collaborative robotic applications. This study assessed their performance in two different human poses at six depth levels, comparing the raw data and noise-reducing filtered data. In addition, a laser measurement device was employed as a ground truth indicator, together with the average Root Mean Square Error as an error metric. The obtained results were analysed and compared in terms of positional accuracy and repeatability, indicating the dependence of the sensors’ performance on the tracking distance.”
      原文链接:
    • NETL
    • NSTL
    • Mdpi

    Italian Institute of Technology Reports Findings in Androids (iCub3 avatar system: Enabling remote fully immersive embodiment of humanoid robots)

    19-20页
    查看更多>>摘要：New research on Robotics - Androids is the subject of a report. According to news reporting from Genoa, Italy, by NewsRx journalists, research stated, “We present an avatar system designed to facilitate the embodiment of humanoid robots by human operators, validated through iCub3, a humanoid developed at the Istituto Italiano di Tecnologia. More precisely, the paper makes two contributions: First, we present the humanoid iCub3 as a robotic avatar that integrates the latest significant improvements after about 15 years of development of the iCub series.” The news correspondents obtained a quote from the research from the Italian Institute of Technology, “Second, we present a versatile avatar system enabling humans to embody humanoid robots encompassing aspects such as locomotion, manipulation, voice, and facial expressions with comprehensive sensory feedback including visual, auditory, haptic, weight, and touch modalities. We validated the system by implementing several avatar architecture instances, each tailored to specific requirements. First, we evaluated the optimized architecture for verbal, nonverbal, and physical interactions with a remote recipient. This testing involved the operator in Genoa and the avatar in the Biennale di Venezia, Venice-about 290 kilometers away-thus allowing the operator to visit the Italian art exhibition remotely. Second, we evaluated the optimized architecture for recipient physical collaboration and public engagement on stage, live, at the We Make Future show, a prominent world digital innovation festival. In this instance, the operator was situated in Genoa while the avatar operated in Rimini-about 300 kilometers away-interacting with a recipient who entrusted the avatar with a payload to carry on stage before an audience of approximately 2000 spectators.”
      原文链接:
    • NETL
    • NSTL