期刊,Robotics & Machine Learning Daily News 2024年卷Apr.1期_国家学术搜索

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Robotics & Machine Learning Daily News

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New Machine Learning Study Results from International Hellenic University Descri bed (Optimizing Building Short-Term Load Forecasting: A Comparative Analysis of Machine Learning Models)

96-96页

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 originating from Thessaloniki, Greece, by NewsRx correspondents, research stated, "The building sector, known for its high energy consumption, needs to reduce its energy use due to rising greenhouse gas emissions." The news reporters obtained a quote from the research from International Helleni c University: "To attain this goal, a projection for domestic energy usage is ne eded. This work optimizes short-term load forecasting (STLF) in the building sec tor while considering several variables (energy consumption/generation, weather information, etc.) that impact energy use. It performs a comparative analysis of various machine learning (ML) models based on different data resolutions and ti me steps ahead (15 min, 30 min, and 1 h with 4-step-, 2-step-, and 1-step-ahead, respectively) to identify the most accurate prediction method. Performance asse ssment showed that models like histogram gradient-boosting regression (HGBR), li ght gradient-boosting machine regression (LGBMR), extra trees regression (ETR), ridge regression (RR), Bayesian ridge regression (BRR), and categorical boosting regression (CBR) outperformed others, each for a specific resolution. Model per formance was reported using R2, root mean square error (RMSE), coefficient of va riation of RMSE (CVRMSE), normalized RMSE (NRMSE), mean absolute error (MAE), an d execution time."

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Reports from Northwestern Polytechnic University Highlight Recent Findings in Ro botics (A Novel Cooperative Path Planning Method Based On Ucr-fce and Behavior R egulation for Large-scale Multirobot System)

97-98页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators publish new report on Robotics. Acc ording to news reporting from Shaanxi, People's Republic of China, by NewsRx jou rnalists, research stated, "Multi-robot cooperative path planning is a significa nt research area in the domains of intelligent reconnaissance, transportation, a nd combat. The complexity of resolving multi-path conflicts in large-scale multi -robot scenarios poses a significant challenge to researchers." Financial support for this research came from Advanced Jet Propulsion Creativity Center.

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Reports from University of Teramo Add New Data to Findings in Machine Learning ( A Machine Learning Approach To Uncover Nicotinamide and Other Antioxidants As No vel Markers for Chicken Meat Quality Assessment)

98-99页

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 Ma chine Learning. According to news reporting originating from Teramo, Italy, by N ewsRx correspondents, research stated, "This study analyses various chicken cuts (breast, leg, and thigh) in terms of ten biocompounds: nicotinamide, anserine, carnosine, malondialdehyde, and biogenic amines (putrescine, cadaverine, histami ne, tyramine, spermidine, and spermine). The analysis is conducted on refrigerat ed chicken meat cuts using three different packaging solutions: modified atmosph ere packaging (MAP), vacuum skin packaging (SKIN), and permeable O2 plastic film (STRETCH)." Financial support for this research came from Rural Development Program for Abru zzo region (PSR ABRUZZO) 2014/2020 Section 16.2.

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Study Findings from Hefei University of Technology Broaden Understanding of Robo tics (Robot Path Planning In Narrow Passages Based On Improved Prm Method)

99-100页

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 are disc ussed in a new report. According to news reporting originating from Anhui, Peopl e's Republic of China, by NewsRx correspondents, research stated, "Probabilistic roadmap (PRM) method has been shown to perform well in robot path planning. How ever, its performance degrades when the robot needs to pass through narrow passa ges." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). Our news editors obtained a quote from the research from the Hefei University of Technology, "To solve this problem, an improved PRM method with hybrid uniform sampling and Gaussian sampling is proposed in this paper. With the proposed meth od, the robot can improve the success rate and efficiency of path planning in na rrow passages. Firstly, the narrow-passage-aware Gaussian sampling method is dev eloped for narrow passages. Combining uniform sampling globally, the new samplin g strategy can increase the sampling density at the narrow passages and reduce t he redundancy of the samples in the wide-open regions. Then, we propose to use d ensity-based clustering method to achieve accurate identification of narrow chan nels by removing the noise points. Next, graph search algorithm is used to searc h the shortest path from the start point to the goal point. Finally, simulations are carried out to evaluate the validity of the proposed method."

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Hangzhou Dianzi University Researchers Yield New Data on Nanostructures (Innovat ions in WO3 gas sensors: Nanostructure engineering, functionalization, and futur e perspectives)

100-101页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New study results on nanostructures have been pub lished. According to news reporting out of Hangzhou, People's Republic of China, by NewsRx editors, research stated, "This review critically examines the progre ss and challenges in the field of nanostructured tungsten oxide (WO3) gas sensor s. It delves into the significant advancements achieved through nanostructuring and composite formation of WO3, which have markedly improved sensor sensitivity for gases like NO2, NH3, and VOCs, achieving detection limits in the ppb range." The news correspondents obtained a quote from the research from Hangzhou Dianzi University: "The review systematically explores various innovative approaches, s uch as doping WO3 with transition metals, creating heterojunctions with material s like CuO and graphene, and employing machine learning models to optimize senso r configurations. The challenges facing WO3 sensors are also thoroughly examined . Key issues include cross-sensitivity to different gases, particularly at highe r temperatures, and long-term stability affected by factors like grain growth an d volatility of dopants. The review assesses potential solutions to these challe nges, including statistical analysis of sensor arrays, surface functionalization , and the use of novel nanostructures for enhanced performance and selectivity. In addition, the review discusses the impact of ambient humidity on sensor perfo rmance and the current strategies to mitigate it, such as composite materials wi th humidity shielding effects and surface functionalization with hydrophobic gro ups. The need for high operating temperatures, leading to higher power consumpti on, is also addressed, along with possible solutions like the use of advanced ma terials and new transduction principles to lower temperature requirements. The r eview concludes by highlighting the necessity for a multidisciplinary approach i n future research."

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Shanghai University of Traditional Chinese Medicine Reports Findings in Rheumato id Arthritis (Identification of clinical characteristics biomarkers for rheumato id arthritis through targeted DNA methylation sequencing)

101-102页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Autoimmune Diseases an d Conditions - Rheumatoid Arthritis is the subject of a report. According to new s originating from Shanghai, People's Republic of China, by NewsRx correspondent s, research stated, "Rheumatoid arthritis (RA) is a complex disease with a chall enging diagnosis, especially in seronegative patients. The aim of this study is to investigate whether the methylation sites associated with the overall immune response in RA can assist in clinical diagnosis, using targeted methylation sequ encing technology on peripheral venous blood samples."

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Study Results from Moulay Ismail University Provide New Insights into Machine Le arning (Robust fingerprint recognition approach based on diagonal slice of polys pectra in the polar space)

102-103页

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 artificial intelligence is now available. According to news originating from Moulay Ismail University b y NewsRx editors, the research stated, "Although fingerprint recognition is a ma ture technology and nowadays commercial state-of-the-art systems can be successf ully used in a number of real applications, not all the problems have been solve d and the research is still very active in the field."

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Findings from Federal Waterways Engineering and Research Institute in Machine Le arning Reported (Using statistical and machine learning approaches to describe e stuarine tidal dynamics)

103-104页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on artificial in telligence have been published. According to news reporting originating from Ham burg, Germany, by NewsRx correspondents, research stated, "Estuaries are ecologi cally valuable regions where tidal forces move large volumes of water. To unders tand the ongoing physical processes in such dynamic systems, a series of estuari ne monitoring stations is required." Our news reporters obtained a quote from the research from Federal Waterways Eng ineering and Research Institute: "Based on the measurements, estuarine dynamics can be described by key values, so-called tidal characteristics. The reconstruct ion and prediction of tidal characteristics by suitable approaches is essential to discover natural or anthropogenic changes. Therefore, it is of interest to in ter- and extrapolate measured values in time and to investigate the spatial rela tionship between different stations. Normally, such system analyses are performe d by deterministic numerical models. However, to facilitate long-term investigat ions also, statistical and machine learning approaches are good options. For a W eser estuary case study, we implemented three approaches (linear, non-linear, an d artificial neural network regression) with the same database to enable the pre diction of tidal extrema."

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New Robotics Findings from Tianjin University Reported (Rotary Robotic Gripper W ith Lidar-tactile Sensor Fusion)

104-104页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Robotics have been pr esented. According to news reporting from Tianjin, People's Republic of China, b y NewsRx journalists, research stated, "Robotic grippers combined with visual-to uch sensor fusion have been widely used in the manufacturing industry. However, due to limited control of the force applied to the mechanical gripper, it is har d to achieve stable object grasping." Financial supporters for this research include Key Projects in the Tianjin Scien ce & Technology Pillar Program, National Natural Science Foundatio n of China (NSFC), Foundation of Wenzhou Safety (Emergency) Institute of Tianjin University, Space Drive and Manipulation Mechanism Laboratory, Beijing Institut e of Control Engineering. The news correspondents obtained a quote from the research from Tianjin Universi ty, "Therefore, to control the force of gripping objects, we propose a robotic r otary gripper fused with light detection and ranging (LiDAR)-tactile. We use LiD AR to obtain distance information and fiber Bragg grating as the tactile sensor for force feedback. In order to ensure the low-loss transmission of the optical signal in the rotation process, the fiber optic rotary joint is employed and ass embled into the system." According to the news reporters, the research concluded: "Finally, the experimen tal results show that our proposed system can achieve a stable grasp of objects with different shapes by precisely controlling the force, which can meet the dem ands for precise robotic grasping and fast manipulation." This research has been peer-reviewed.

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Patent Issued for Bring your own machine (BYOM) (USPTO 11928521)

105-107页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-From Alexandria, Virginia, NewsRx jour nalists report that a patent by the inventors Fauchere, Clement (Sammamish, WA, US), Jia, Runnan (Kirkland, WA, US), Ma, Tao (Bellevue, WA, US), Madkour, Tarek (Sammamish, WA, US), Ren, Jingtao (Redmond, WA, US), filed on April 17, 2021, wa s published online on March 12, 2024. The patent's assignee for patent number 11928521 is UiPath Inc. (New York, New Y ork, United States). News editors obtained the following quote from the background information suppli ed by the inventors: "Prior to cloud robots, customers manually configure the ph ysical machine and install robots to connect their computing systems (e.g., virt ual machines) to UiPath® Orchestrator™. In order to connect the computing system s to UiPath® Orchestrator™, a license key is handed over to a user preparing the computing system. This license key is usually transferred by email, short messa ging system (SMS), Slack®, and phone call, to name a few. This method of handing over the license key is not secure and nor is the channel, i.e., the means in w hich the license key is handed over. "Accordingly, an improved method for connecting a cloud robot to Orchestrator™ i n a secure manner may be beneficial."

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