{"title":"Dynamic optimizers for complex industrial systems via direct data-driven synthesis.","authors":"Khalid Alhazmi, S Mani Sarathy","doi":"10.1038/s44172-025-00368-8","DOIUrl":"10.1038/s44172-025-00368-8","url":null,"abstract":"<p><p>The chemical process industry (CPI) faces significant challenges in improving sustainability and efficiency while maintaining conservative principles for managing cost, complexity, and uncertainty. This work introduces a data-driven approach to dynamic real-time optimization (D-RTO) that addresses the aforementioned concerns by directly extracting process optimization policies from historical plant data. Our method constructs a value function to evaluate trajectory quality and employs weighted regression to derive improved policies. When applied to a plant-wide industrial process control problem, the proposed optimizer demonstrates superior performance in adapting to disturbances while maintaining stability and product quality. These results challenge conventional assumptions regarding the potential of data-driven optimization in the CPI. Although limitations exist due to the black-box nature of neural networks, this study presents a promising avenue for enhancing operational efficiency in industrial settings. The proposed approach offers a practical solution for process optimization, as it leverages readily available historical data and does not require extensive modeling efforts. By demonstrating significant efficiency improvement on a realistic industrial benchmark problem, this work paves the way for the adoption of data-driven optimization techniques in real-world CPI applications.</p>","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"25"},"PeriodicalIF":0.0,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11836206/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143451147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yaoming Zhuang, Jiaming Liu, Haoyang Zhao, Longyu Ma, Zirui Fang, Li Li, Chengdong Wu, Wei Cui, Zhanlin Liu
{"title":"A deep learning framework based on structured space model for detecting small objects in complex underwater environments.","authors":"Yaoming Zhuang, Jiaming Liu, Haoyang Zhao, Longyu Ma, Zirui Fang, Li Li, Chengdong Wu, Wei Cui, Zhanlin Liu","doi":"10.1038/s44172-025-00367-9","DOIUrl":"10.1038/s44172-025-00367-9","url":null,"abstract":"<p><p>Regular monitoring of marine life is essential for preserving the stability of marine ecosystems. However, underwater target detection presents several challenges, particularly in balancing accuracy with model efficiency and real-time performance. To address these issues, we propose an innovative approach that combines the Structured Space Model (SSM) with feature enhancement, specifically designed for small target detection in underwater environments. We developed a high-accuracy, lightweight detection model-UWNet. The results demonstrate that UWNet excels in detection accuracy, particularly in identifying difficult-to-detect organisms like starfish and scallops. Compared to other models, UWNet reduces the number of model parameters by 5% to 390%, substantially improving computational efficiency while maintaining top detection accuracy. Its lightweight design enhances the model's applicability for deployment on underwater robots.</p>","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"24"},"PeriodicalIF":0.0,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11833135/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143442827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On-chip solar power source for self-powered smart microsensors in bulk CMOS process.","authors":"Jian Guan, Jingjing Liu, Wenji Mo, Bingjun Xiong, Kangkang Sun, Feng Yan, Zhipeng Li, Yuchen Wang, Bhaskar Choubey","doi":"10.1038/s44172-025-00358-w","DOIUrl":"10.1038/s44172-025-00358-w","url":null,"abstract":"<p><p>Enhancing the photoelectric conversion efficiency of on-chip solar cells is crucial for advancing solar energy harvesting in self-powered smart microsensors for Internet of Things applications. Here we show that adopting a center electrode (CE) layout instead of a ring electrode (RE) effectively reduces the shadowing effect of surface electrodes. Using a standard 0.18 μm CMOS process, we fabricated a 0.01 mm² segmented triple-well on-chip solar cell with CEs and highly doped interconnections. Measurements demonstrate a photoelectric conversion efficiency of 25.79% under solar simulator illumination, a 17.49% improvement over conventional designs. This on-chip solar cell is used for on-chip energy harvesting, achieving a maximum end-to-end conversion efficiency of 10.20%, referring to the overall efficiency from incident light power to load power output. The proposed energy harvesting system reliably provides a stable 1 V output to the load, even under varying illumination and load conditions.</p>","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"23"},"PeriodicalIF":0.0,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11832895/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143442829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Vincent Varanges, Pezhman Eghbali, Naser Nasrollahzadeh, Jean-Yves Fournier, Pierre-Etienne Bourban, Dominique P Pioletti
{"title":"Helmet material design for mitigating traumatic axonal injuries through AI-driven constitutive law enhancement.","authors":"Vincent Varanges, Pezhman Eghbali, Naser Nasrollahzadeh, Jean-Yves Fournier, Pierre-Etienne Bourban, Dominique P Pioletti","doi":"10.1038/s44172-025-00370-0","DOIUrl":"10.1038/s44172-025-00370-0","url":null,"abstract":"<p><p>Sports helmets provide incomplete protection against brain injuries. Here we aim to improve helmet liner efficiency by employing a novel approach that optimizes their properties. By exploiting a finite element model that simulates head impacts, we developed deep learning models that predict the peak rotational velocity and acceleration of a dummy head protected by various liner materials. The deep learning models exhibited a remarkable correlation coefficient of 0.99 within the testing dataset with mean absolute error of 0.8 rad.s<sup>-1</sup> and 0.6 krad.s<sup>-2</sup> respectively, highlighting their predictive ability. Deep learning-based material optimization demonstrated a significant reduction in the risk of brain injuries, ranging from -5% to -65%, for impact energies between 250 and 500 Joules. This result emphasizes the effectiveness of material design to mitigate sport-related brain injury risks. This research introduces promising avenues for optimizing helmet designs to enhance their protective capabilities.</p>","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"22"},"PeriodicalIF":0.0,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11830762/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143434510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Arpit Agarwal, Achu Wilson, Timothy Man, Edward Adelson, Ioannis Gkioulekas, Wenzhen Yuan
{"title":"Vision-based tactile sensor design using physically based rendering.","authors":"Arpit Agarwal, Achu Wilson, Timothy Man, Edward Adelson, Ioannis Gkioulekas, Wenzhen Yuan","doi":"10.1038/s44172-025-00350-4","DOIUrl":"10.1038/s44172-025-00350-4","url":null,"abstract":"<p><p>High-resolution tactile sensors are very helpful to robots for fine-grained perception and manipulation tasks, but designing those sensors is challenging. This is because the designs are based on the compact integration of multiple optical elements, and it is difficult to understand the correlation between the element arrangements and the sensor accuracy by trial and error. In this work, we introduce the digital design of vision-based tactile sensors using a physically accurate light simulator. The framework modularizes the design process, parameterizes the sensor components, and contains an evaluation metric to quantify a sensor's performance. We quantify the effects of sensor shape, illumination setting, and sensing surface material on tactile sensor performance using our evaluation metric. The proposed optical simulation framework can replicate the tactile image of the real vision-based tactile sensor prototype without any prior sensor-specific data. Using our approach we can substantially improve the design of a fingertip GelSight sensor. This improved design performs approximately 5 times better than previous state-of-the-art human-expert design at real-world robotic tactile embossed text detection. Our simulation approach can be used with any vision-based tactile sensor to produce a physically accurate tactile image. Overall, our approach enables the automatic design of sensorized soft robots and opens the door for closed-loop co-optimization of controllers and sensors for dexterous manipulation.</p>","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"21"},"PeriodicalIF":0.0,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11828998/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143426746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Murali Karnam, Marek Zelechowski, Philippe C Cattin, Georg Rauter, Nicolas Gerig
{"title":"User-specified inverse kinematics taught in virtual reality reduce time and effort to hand-guide redundant surgical robots.","authors":"Murali Karnam, Marek Zelechowski, Philippe C Cattin, Georg Rauter, Nicolas Gerig","doi":"10.1038/s44172-025-00357-x","DOIUrl":"10.1038/s44172-025-00357-x","url":null,"abstract":"<p><p>Medical robots should not collide with close by obstacles during medical procedures, such as lamps, screens, or medical personnel. Redundant robots have more degrees of freedom than needed for moving endoscopic tools during surgery and can be reshaped to avoid obstacles by moving purely in the space of these additional degrees of freedom (null space). Although state-of-the-art robots allow surgeons to hand-guide endoscopic tools, reshaping the robot in null space is not intuitive for surgeons. Here we propose a learned task space control that allows surgeons to intuitively teach preferred robot configurations (shapes) that avoid obstacles using a VR-based planner in simulation. Later during surgery, surgeons control both the endoscopic tool and robot configuration (shape) with one hand. In a user study, we found that learned task space control outperformed state-of-the-art naive task space control in all the measured performance metrics (time, effort, and user-perceived effort). Our solution allowed users to intuitively interact with robots in VR and reshape robots while moving tools in medical and industrial applications.</p>","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"20"},"PeriodicalIF":0.0,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11825656/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143415736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Christopher G Tompkins, Luke D Todhunter, Harald Gottmann, Christoph Rettig, Robert Schmitt, Jochen Wacker, Samanta Piano
{"title":"Three-dimensional runout characterisation for rotationally symmetric components.","authors":"Christopher G Tompkins, Luke D Todhunter, Harald Gottmann, Christoph Rettig, Robert Schmitt, Jochen Wacker, Samanta Piano","doi":"10.1038/s44172-025-00354-0","DOIUrl":"10.1038/s44172-025-00354-0","url":null,"abstract":"<p><p>Rotationally symmetric components (such as gears and axels) are ubiquitous to modern devices, and their precision manufacture is necessary to keep costs and manufacture time down, as well as reduce waste and possibly hazardous component failure. The manufacturing errors, which affect the shape in the rotation axis, are grouped together into the common term \"runout\". Here we present a potential updated standard for characterising the runout of rotationally symmetric machined parts in three-dimensions, and evaluated using virtual instrumentation, enabling an accurate characterisation of the three dimensional (3D) surface deformation of a part from minimal surface information. For any 3D characterisation method to be widely adopted by the science, technology, engineering, and mathematics community, it must be fully compatible with previous methods and standards. As such, the proposed method produces a 3D runout vector based on four standard profile measurements. To evaluate the efficacy of the proposed runout method, a technique for evaluating the errors of commonly used virtual instruments has been developed. This evaluation technique produces a single-valued quantification of the deviation of the instrument outputs compared to the input parameters, decoupled from the errors on the instrument itself.</p>","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"19"},"PeriodicalIF":0.0,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11821993/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143411834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Low-power Spiking Neural Network audio source localisation using a Hilbert Transform audio event encoding scheme.","authors":"Saeid Haghighatshoar, Dylan Richard Muir","doi":"10.1038/s44172-025-00359-9","DOIUrl":"10.1038/s44172-025-00359-9","url":null,"abstract":"<p><p>Sound source localisation is used in many consumer devices, to isolate audio from individual speakers and reject noise. Localization is frequently accomplished by \"beamforming\", which combines phase-shifted audio streams to increase power from chosen source directions, under a known microphone array geometry. Dense band-pass filters are often needed to obtain narrowband signal components from wideband audio. These approaches achieve high accuracy, but narrowband beamforming is computationally demanding, and not ideal for low-power IoT devices. We introduce a method for sound source localisation on arbitrary microphone arrays, designed for efficient implementation in ultra-low-power spiking neural networks (SNNs). We use a Hilbert transform to avoid dense band-pass filters, and introduce an event-based encoding method that captures the phase of the complex analytic signal. Our approach achieves high accuracy for SNN methods, comparable with traditional non-SNN super-resolution beamforming. We deploy our method to low-power SNN inference hardware, with much lower power consumption than super-resolution methods. We demonstrate that signal processing approaches co-designed with spiking neural network implementations can achieve much improved power efficiency. Our Hilbert-transform-based method for beamforming can also improve the efficiency of traditional digital signal processing.</p>","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"18"},"PeriodicalIF":0.0,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11814312/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143400830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A multipath error cancellation method based on antenna jitter.","authors":"Jiyang Liu, Feixue Wang, Xiaomei Tang, Sixin Wang, Muzi Yuan","doi":"10.1038/s44172-025-00355-z","DOIUrl":"10.1038/s44172-025-00355-z","url":null,"abstract":"<p><p>Global Navigation Satellite System signals are often affected by multipath errors, which impact the accuracy of positioning measurements. Traditional methods frequently fail to effectively mitigate multipath errors across different environments, primarily due to their inherent sensitivity to varying conditions. Here, we propose a multipath error cancellation method that utilizes antenna jitter, which mitigates multipath errors by rapidly changing the relative phases of direct and multipath signals without requiring changes to the receiver structure. The model that combines theoretical analysis with experimental verification is conducted to identify the minimum jitter amplitude required for effective error reduction in straight-line jitter scenarios. Moreover, extensive satellite data collection and verification were performed in Changsha, China, from December 2023 to August 2024. The results indicate that the proposed method enhances robustness and applicability across various environments compared to traditional approaches. Notably, it enables a vehicle-mounted antenna, priced at just a few dollars, to achieve positioning accuracy comparable to that of high-precision antennas costing thousands of dollars, making advanced positioning technology more accessible.</p>","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"17"},"PeriodicalIF":0.0,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11806055/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143371362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Emilia Di Lorenzo, Francesca Romano, Lidia Ciriaco, Nunzia Iaccarino, Luana Izzo, Antonio Randazzo, Pellegrino Musto, Ernesto Di Maio
{"title":"Periodic cooking of eggs.","authors":"Emilia Di Lorenzo, Francesca Romano, Lidia Ciriaco, Nunzia Iaccarino, Luana Izzo, Antonio Randazzo, Pellegrino Musto, Ernesto Di Maio","doi":"10.1038/s44172-024-00334-w","DOIUrl":"10.1038/s44172-024-00334-w","url":null,"abstract":"<p><p>Egg cooks are challenged by the two-phase structure: albumen and yolk require two cooking temperatures. Separation or a compromise temperature to the detriment of food safety or taste preference are the options. In the present article, we find that it is possible to cook albumen and yolk at two temperatures without separation by using periodic boundary conditions in the energy transport problem. Through mathematical modeling and subsequent simulation, we are able to design the novel cooking method, namely periodic cooking. Comparison with established egg cooking procedures through a plethora of characterization techniques, including Sensory Analysis, Texture Profile Analysis and FT-IR spectroscopy, confirms the different cooking extents and the different variations in protein denaturation with the novel approach. The method not only optimizes egg texture and nutrients, but also holds promise for innovative culinary applications and materials treatment.</p>","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"5"},"PeriodicalIF":0.0,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11802719/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143366926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}