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 robotics have been published. According to news originating from Beijing, People's Republic o f China, by NewsRx correspondents, research stated, "Multifunctional sensors hav e played a crucial role in constructing high-integration electronic networks." Financial supporters for this research include National Natural Science Foundati on of China. The news reporters obtained a quote from the research from Beihang University: " Most of the current multifunctional sensors rely on multiple materials to simult aneously detect different physical stimuli. Here, we demonstrate the large piezo -pyroelectric effect in ferroelectric Pb(Mg [ [1/3] ] Nb [ [2/3] ] )O [ [3] ] -PbTiO [ [3] ] (PMN-PT) single crystals for simultan eous pressure and temperature sensing. The outstanding piezoelectric and pyroele ctric properties of PMN-PT result in rapid response speed and high sensitivity, with values of 46 ms and 28.4 nA kPa-1 for pressure sensing, and 1.98 s and 94.66 nC °C-1 for temperature detection, respectively. By leveraging the distinct differences in the response speed of piezoelectric and pyroelectric responses, the piezo-py roelectric effect of PMN-PT can effectively detect pressure and temperature from mixed-force thermal stimuli, which enables a robotic hand for stimuli classific ation."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-A new study on artificial intelligence is now ava ilable. According to news originating from Mawson Lakes, Australia, by NewsRx co rrespondents, research stated, "Landslides, resulting from disturbances in slope equilibrium, pose a significant threat to landscapes, infrastructure, and human life. Triggered by factors such as intense precipitation, seismic activities, o r volcanic eruptions, these events can cause extensive damage and endanger nearb y communities." Financial supporters for this research include The University of South Australia , Unit of Science, Technology, Engineering And Mathematics.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Panic Disorder is the subject of a report. According to news reporting originating from Stockholm, Swe den, by NewsRx correspondents, research stated, "This study proposes a way of in creasing dataset sizes for machine learning tasks in Internet-based Cognitive Be havioral Therapy through pooling interventions. To this end, it (1) examines sim ilarities in user behavior and symptom data among online interventions for patie nts with depression, social anxiety, and panic disorder and (2) explores whether these similarities suffice to allow for pooling the data together, resulting in more training data when prediction intervention dropout." Financial supporters for this research include Vetenskapsradet, Avtal om Lakarut bildning och Forskning Agreement, Familjen Erling-Perssons Stiftelse, Deutsche F orschungsgemeinschaft, Fredrik och Ingrid Thurings Stiftelse.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Researchers detail new data in Nanotechnology-N anostructures. According to news reporting originating in Changchun, People's Re public of China, by NewsRx journalists, research stated, "In recent years, flexi ble devices have been highly prized for their lightweight, stretchable, foldable and other excellent properties, and have seen rapid development in daily life a pplications. 'Learning from nature' drives innovation in next-generation flexibl e tactile sensors. From the perspective of bionics, the overall performance of a sensor can be optimized by taking inspiration from the microstructures, interfa ces, and forms of organisms."
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 Machine Learn ing have been published. According to news reporting out of Porto, Portugal, by NewsRx editors, research stated, "PurposeFactors like bid price, submission time , and number of bidders influence the procurement process in public projects. Th ese factors and the award criteria may impact the project's financial compliance ."Financial supporters for this research include Marie Curie Actions, Fundacao par a a Ciencia e a Tecnologia (FCT), European Union (EU), PRR-Recovery and Resili ence Plan.
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 Chaoyang Un iversity of Technology by NewsRx correspondents, research stated, "This study ai ms to evaluate leg movement by integrating gait analysis with surface electromyo graphy (sEMG) and accelerometer (ACC) data from the lower limbs." Funders for this research include National Science And Technology Council, Taiwa n. Our news reporters obtained a quote from the research from Chaoyang University o f Technology: "We employed a wireless, self-made, and multi-channel measurement system in combination with commercial GaitUp Physilog®5 shoe-worn inertial sensors to record the walking patterns and muscle activati ons of 17 participants. This approach generated a comprehensive dataset comprisi ng 1452 samples. To accurately predict gait parameters, a machine learning model was developed using features extracted from the sEMG signals of thigh and calf muscles, and ACCs from both legs. The study utilized evaluation metrics includin g accuracy (R2), Pearson correlation coefficient (PCC), root mean squared error (RMSE), mean a bsolute percentage error (MAPE), mean squared error (MSE), and mean absolute err or (MAE) to evaluate the performance of the proposed model. The results highligh ted the superiority of the CatBoost model over alternatives like XGBoost and Dec ision Trees. The CatBoost's average PCCs for 17 temporospatial gait parameters o f the left and right legs are 0.878 ± 0.169 and 0.921 ± 0.047, respectively, wit h MSE of 7.65, RMSE of 1.48, MAE of 1.00, MAPE of 0.03, and Accuracy (R2-Score) of 0.91."
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 originating from Vasteras, Sweden, by N ewsRx correspondents, research stated, "As the demand for electricity, electrifi cation, and renewable energy rises, accurate forecasting and flexible energy man agement become imperative." Financial supporters for this research include Indtech. Our news reporters obtained a quote from the research from Malardalen University : "Distribution network operators face capacity limits set by regional grids, ri sking economic penalties if exceeded. This study examined data-driven approaches of load forecasting to address these challenges on a city scale through a use c ase study of Eskilstuna, Sweden. Multiple Linear Regression was used to model el ectric load data, identifying key calendar and meteorological variables through a rolling origin validation process, using three years of historical data. Despi te its low cost, Multiple Linear Regression outperforms the more expensive non-l inear Light Gradient Boosting Machine, and both outperform the "weekly Naive" be nchmark with a relative Root Mean Square Errors of 32-34% and 39-4 0%, respectively. Best-practice hyperparameter settings were derive d, and they emphasize frequent re-training, maximizing the training data size, a nd setting a lag size larger than or equal to the forecast horizon for improved accuracy. Combining both models into an ensemble could the enhance accuracy."
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 originating from Athens, Gree ce, by NewsRx correspondents, research stated, "Kalamata is a smart city located in southeastern Greece in the Mediterranean basin and it is the capital of the Messenia regional unit." Our news correspondents obtained a quote from the research from University of We st Attica: "It is known for the famous Protected Designation of Origin (PDO) Kal amata olive oil produced mainly from the Koroneiki olive variety. The PDO Kalama ta olive oil, established by Council regulation (EC) No 510/2006, owes its quali ty and special characteristics to the geographical environment, olive tree varie ty, and human factor. The PDO Kalamata olive oil is produced exclusively in the regional unit of Messenia, being the main profit of local farmers. However, soil chemical composition, microclimates, and agronomic factors are changed within t he Messenia spatial area leading to differentiation of PDO Kalamata olive oil ch aracteristic. In this paper, we use statistical machine learning algorithms to d etermine the geographical origin of Kalamata olive oil at PDO level based on syn chronous excitationemission fluorescence spectroscopy of olive oils. Evaluation s of the statistical models are promising for differentiating the origin of PDO Kalamata olive oil with high values of prediction accuracy thus enabling compani es that process and bottle kalamata olive oil to choose olive oil from a specifi c region of Messenia that fulfills certain characteristics."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-From Washington, D.C., NewsRx journali sts report that a patent application by the inventor TOMIIE, Norio (Yokohama-shi , Kanagawa, JP), filed on March 8, 2022, was made available online on May 9, 202 4. No assignee for this patent application has been made. News editors obtained the following quote from the background information suppli ed by the inventors: "Configurations where a PLC (programmable logic controller) controls operations of a plurality of robots are known. Patent Literature 1, fo r example, describes a robot control system capable of operating a plurality of robots using an operation panel through switching means. Patent Literature 2 des cribes a configuration where a sequencer controls sequences to be executed by ro bots." As a supplement to the background information on this patent application, NewsRx correspondents also obtained the inventor's summary information for this patent application: "In an embodiment of the present disclosure, a program management apparatus includes a communicator, a storage, and a controller. The communicator is communicable with at least one robot controller. The storage stores a plural ity of first programs for controlling an operation of a robot, the plurality of first programs being executed by the at least one robot controller. The controll er outputs at least one of the plurality of first programs selected on a basis o f a request from a cooperation controller capable of operating together with the at least one robot controller to certain at least one of the at least one robot controller that is to operate together with the cooperation controller.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntors Ilgenfritz, Markus (Feuchtwangen, DE); Krauß Ulrich (Ilshofen, DE); Nagle r, Stefan (Unterschneidheim, DE); Stegmeier, Samuel (Kreßerg, DE), filed on Nov ember 7, 2023, was made available online on May 9, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: "The invention relates to a device for vacuum-free removal of a nest from a tub. In addition, the present invention relates to a system compri sing a corresponding device. Furthermore, the present invention relates to a ste rile chamber in which a corresponding device or a corresponding system is arrang ed. The present invention further relates to a method for vacuum-free removal of a nest from a tub.
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