查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - PULLMAN, Wash. - A new computer model uses a better artificial intelligence process to measure snow and water availab ility more accurately across vast distances in the West, information that could someday be used to better predict water availability for farmers and others. Publishing in the Proceedings of the AAAI Conference on Artificial Intelligence, the interdisciplinary group of Washington State University researchers predict water availability from areas in the West where snow amounts aren’t being physic ally measured. Comparing their results to measurements from more than 300 snow measuring statio ns in the Western U.S., they showed that their model outperformed other models t hat use the AI process known as machine learning. Previous models focused on tim e-related measures, taking data at different time points from only a few locatio ns. The improved model uses both time and space into account, resulting in more accurate predictions.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - New research on Surgery - Myomectomy is the subject of a report. According to news reporting from Montreal, Canada, by NewsRx journalists, research stated, “Examine the role, benefits, and limitatio ns of robotic surgery in myomectomies compared to laparoscopic and open surgical approaches. This review sourced data from CENTRAL, Pubmed, Medline, and Embase up until May 1, 2023.” The news correspondents obtained a quote from the research from the University o f Montreal, “Full articles comparing clinical outcomes of robotic myomectomy wit h open or laparoscopic procedures were included without language restriction. In itially, 2150 records were found. 24 studies were finally included for both qual itative and quantitative analyses. Two investigators independently assessed all reports following PRISMA guidelines. Meta-analysis was conducted using the softw are ‘Review Manager Version 5.4’. Riskof- bias was assessed using the Newcastle- Ottawa scale. Sensitivity analysis was conducted, when feasible. In a comparison between robotic and laparoscopic myomectomies, no significant difference was ob served in fibroid weights and the size of the largest fibroid. Robotic myomectom y resulted in less blood loss, but transfusion rates were comparable. Both metho ds had similar complication rates and operative times, although some robotic stu dies showed longer durations. Conversion rates favored robotics. Hospital stays varied widely, with no overall significant difference, and pregnancy rates were similar between the two methods. When comparing robotic to open myomectomies, op en procedures treated heavier and larger fibroids. They also had greater blood l oss, but the robotic approach required fewer transfusions. The complication rate was slightly higher in open procedures. Open surgeries were generally faster, p ostoperative pain scores were similar, but hospital stays were longer for open p rocedures. Pregnancy rates were comparable for both robotic and open methods.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Data detailed on artificial intelligen ce have been presented. According to news reporting originating from Gazipur, Ba ngladesh, by NewsRx correspondents, research stated, “Technologies for utilizing waste heat for power generation have attracted significant attention in recent years due to their potential to enhance energy efficiency and reduce greenhouse gas emissions. This research focuses on the comparative and optimization analysi s of three supercritical carbon dioxide (sCO2) Rankine cycles (simple, cascade, and split) for gas turbine waste heat recuperation.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - A new study on Machine Learning - Comp utational Intelligence is now available. According to news reporting originating from Xi’an, People’s Republic of China, by NewsRx correspondents, research stat ed, “Temporal networks are ubiquitous because complex systems in nature and soci ety are evolving, and tracking dynamic communities is critical for revealing the mechanism of systems. Moreover, current algorithms utilize temporal smoothness framework to balance clustering accuracy at current time and clustering drift at historical time, which are criticized for failing to characterize the temporali ty of networks and determine its importance.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Investigators publish new report on ar tificial intelligence. According to news reporting from Split, Croatia, by NewsR x journalists, research stated, “Transient stability of the electric power syste m still heavily rests on a timely and correct operation of the relay protection of individual power generators.” The news reporters obtained a quote from the research from University of Split: “Power swings and generator pole slips, following network short-circuit events, can initiate false relay activations, with negative repercussions for the overal l system stability. This paper will examine the generator’s underimpedance (21G) and out-of-step (78) protection functions and will propose a machine learning b ased classifier for supporting and reinforcing their decision-making logic. The classifier, based on a support vector machine, will aid in blocking the underimp edance protection during stable generator swings. It will also enable faster tri pping of the out-of-step protection for unstable generator swings. Both protecti on functions will feature polygonal protection characteristics. Their implementa tion will be based on European practice and IEC standards.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Research findings on Robotics - Androi ds are discussed in a new report. According to news reporting out of Brighton, U nited Kingdom, by NewsRx editors, research stated, “This article presents a path learning method through physical human-robot interaction (pHRI) based on a stre tchcompression iterative learning control (ILC) scheme and contouring impedance control. The robot learns a task path desired by the human user through a kinae sthetic interface and provides physical assistance to the human user in repetiti ve interactions.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - A new study on robotics is now availab le. According to news reporting originating from Warsaw, Poland, by NewsRx corre spondents, research stated, “Navigation lies at the core of social robotics, ena bling robots to navigate and interact seamlessly in human environments.” Our news reporters obtained a quote from the research from Warsaw University of Technology: “The primary focus of human-aware robot navigation is minimizing dis comfort among surrounding humans. Our review explores user studies, examining fa ctors that cause human discomfort, to perform the grounding of social robot navi gation requirements and to form a taxonomy of elementary necessities that should be implemented by comprehensive algorithms. This survey also discusses human-aw are navigation from an algorithmic perspective, reviewing the perception and mot ion planning methods integral to social navigation. Additionally, the review inv estigates different types of studies and tools facilitating the evaluation of so cial robot navigation approaches, namely datasets, simulators, and benchmarks.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - New research on artificial intelligenc e is the subject of a new report. According to news originating from Salt Lake C ity, Utah, by NewsRx editors, the research stated, “On 18 March 2020, a magnitud e 5.7 earthquake hit the Salt Lake valley in the state of Utah, United States.” Our news reporters obtained a quote from the research from University of Utah: “ Using a dense geophone deployment and machine learning (ML), an additional sever al thousand events were detected and located. Currently, both the mainshock and the majority of the aftershocks are suspected to have occurred on or near a deep er portion of the Salt Lake segment of the Wasatch fault-part of a large range-b ounding fault system thought to be capable of generating an Mw 7.2 earthquake. H owever, a small subset of aftershocks may have occurred on a portion of the more steeply, eastward dipping, and poorly understood West Valley fault. Unfortunate ly, the catalog locations and lack of focal mechanisms for this subset of afters hocks provide only a crude constraint on the true fault structure. To better ill uminate fault structure, we relocate the ML-generated catalog with a range of ma gnitudes from -2 to 4.6, using: (1) NonLinLoc, a nonlinear location algorithm, ( 2) source-specific station terms, and (3) waveform coherence. We further compute first-motion focal mechanisms for 68 events.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Investigators publish new report on ro botics. According to news reporting out of Kanazawa, Japan, by NewsRx editors, r esearch stated, “This study proposes a novel motion optimization method for a ma nipulator equipped with a soft robotic hand for object transportation. The flexi bility of the soft robotic hand induces large vibrations.” Financial supporters for this research include Jsps Kakenhi. Our news correspondents obtained a quote from the research from Kanazawa Univers ity: “The manipulator must pause until the vibration converges, leading to an in crease in the cycle time. The robotic system also has issue with the low motion repeatability in the robotic hand, even under identical operational conditions. In this study, a method based on Bayesian algorithms is developed to optimize th e motion of a manipulator. The objective is to minimize the cycle time for objec t transportation tasks, while considering the challenges of vibration and low re peatability in soft robotic hand systems. The optimization is performed through an exploratory search using actual experiments. To achieve a low-cost and versat ile measurement system, this study proposes a method for deriving the cycle time , which is a key metric for optimization, based on the measurement results obtai ned using a web camera with standard specifications. The proposed optimization m ethod is evaluated through a comparison with existing optimization methods, incl uding the grid-search-based, conventional Bayesian optimization, particle swarm optimization, S. Lin’s heuristic algorithm, and sparrow search algorithm.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Investigators publish new report on ar tificial intelligence. According to news reporting from Beijing, People’s Republ ic of China, by NewsRx journalists, research stated, “High-strength and lightwei ght 7XXX Al alloys are widely applied in aerospace industries.” Financial supporters for this research include The National Key R&D Program of China; The National Nature Science Foundation of China. The news reporters obtained a quote from the research from University of Science and Technology Beijing: “Stress corrosion cracking (SCC) in these alloys has be en extensively discussed, and electrochemical corrosion should be brought to the forefront when these materials are used in marine atmospheric environments. Thi s work obtained the corrosion potentials (Ecorr) and corrosion rates of 40 as-ca st 7XXX Al alloys by potentiodynamic polarization tests and immersion tests, res pectively; then, chemical compositions and physical features were used to build a machine learning model to predict these parameters. RFR was used for the predi ction model of Ecorr with the features Cu, Ti, Al, and Zn, and GPR for that of t he corrosion rate with the features of specific heat, latent heat of fusion, and proportion of p electrons. The physical meaning and reasonability were discusse d based on the analysis of corrosion morphology and precipitated composition.”
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