Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su-Jin Shin, Young-Chul Ghim, Sanghoo Park, Wonho Choe
{"title":"Predicting Performance of Hall Effect Ion Source Using Machine Learning","authors":"Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su-Jin Shin, Young-Chul Ghim, Sanghoo Park, Wonho Choe","doi":"10.1002/aisy.202570011","DOIUrl":"https://doi.org/10.1002/aisy.202570011","url":null,"abstract":"<p><b>Hall Effect Ion Source</b>\u0000 </p><p>In article number 2400555, Wonho Choe and co-workers introduce a machine learning-based approach to accurately predicting the performance of Hall thrusters, a critical technology for space propulsion and industrial ion beam sources. By utilizing an ensemble of neural networks trained on 18,000 simulation datasets validated by experiments, the model achieves high accuracy in thrust and discharge current predictions, enabling the rapid development of optimized, high-efficiency thrusters with shorter design cycles.\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 3","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202570011","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143632964","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}
Kouki Kimizuka, Saman Azhari, Shoshi Tokuno, Ahmet Karacali, Yuki Usami, Shuhei Ikemoto, Hakaru Tamukoh, Hirofumi Tanaka
{"title":"Haptic In-Sensor Computing Device Based on CNT/PDMS Nanocomposite Physical Reservoir","authors":"Kouki Kimizuka, Saman Azhari, Shoshi Tokuno, Ahmet Karacali, Yuki Usami, Shuhei Ikemoto, Hakaru Tamukoh, Hirofumi Tanaka","doi":"10.1002/aisy.202570016","DOIUrl":"https://doi.org/10.1002/aisy.202570016","url":null,"abstract":"<p><b>Haptic In-Sensor Computing Device</b>\u0000 </p><p>Hirofumi Tanaka, Saman Azhari, and co-workers developed a CNT/PDMS nanocomposite sensor that functions as a physical reservoir computing device. By incorporating the sensor into a robotic hand, they successfully demonstrated its real-time in-sensor computing capabilities, harnessing its nonlinear response for object classification. This breakthrough paves the way for new advancements in robotics, enabling precise and adaptive manipulation. More details can be found in article number 2400640.\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 3","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202570016","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143632954","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}
Yahongyang Lydia Li, Ismail M. Khater, Christian Hallgrimson, Ben Cardoen, Timothy H. Wong, Ghassan Hamarneh, Ivan R. Nabi
{"title":"SuperResNET: Model-Free Single-Molecule Network Analysis Software Achieves Molecular Resolution of Nup96","authors":"Yahongyang Lydia Li, Ismail M. Khater, Christian Hallgrimson, Ben Cardoen, Timothy H. Wong, Ghassan Hamarneh, Ivan R. Nabi","doi":"10.1002/aisy.202570014","DOIUrl":"https://doi.org/10.1002/aisy.202570014","url":null,"abstract":"<p><b>SuperResNET Software</b>\u0000 </p><p>SuperResNET machine learning analysis software visualizes and quantifies single molecule localization microscopy (SMLM) point cloud data. SuperResNET segments nucleopore octagon structures, its eight corners and identifies two modules in corners, corresponding to two individual Nup96 molecules. More details can be found in article number 2400521 by Ismail M. Khater, Ghassan Hamarneh, Ivan R. Nabi, and co-workers.\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 3","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202570014","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143632962","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":"Investigation of Analog Memristor Characteristics for Hardware Synaptic Weight in Multilayer Neural Network","authors":"Jingon Jang, Yoonseok Song, Sungjun Park","doi":"10.1002/aisy.202570012","DOIUrl":"https://doi.org/10.1002/aisy.202570012","url":null,"abstract":"<p><b>Analog Memristor Characteristics</b>\u0000 </p><p>The systematic design of memristor-based neural network is provided by analog conductance state parameters to accurately emulate the software-based high-resolution weight at discrete device level. The requirement of discrete analog conductance of memristor device is measured as ≈50 states with nonlinearity value of ≈0.142 within the deviation range of 5% for inference accuracy of ≈84.36% and loss value of ≈0.168. Further details can be found in article number 2400710 by Jingon Jang, Yoonseok Song, and Sungjun Park.\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 3","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202570012","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143632965","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}
Mohammad Shafiqul Islam, Sangwon Cha, Md Farhad Hassan, Wenxin Cai, Tahsin Sejat Saniat, Cedar Rose Leach, Yasser Khan
{"title":"Printed Wearable Sweat Rate Sensor for Continuous In Situ Perspiration Measurement","authors":"Mohammad Shafiqul Islam, Sangwon Cha, Md Farhad Hassan, Wenxin Cai, Tahsin Sejat Saniat, Cedar Rose Leach, Yasser Khan","doi":"10.1002/aisy.202570015","DOIUrl":"https://doi.org/10.1002/aisy.202570015","url":null,"abstract":"<p><b>Printed Wearable Sweat Rate Sensor</b>\u0000 </p><p>In article number 2400927, Mohammad Shafiqul Islam, Yasser Khan, and colleagues introduce a wireless, flexible sweat rate sensor developed using direct 3D writing and integrated microfluidics for real-time monitoring of sweat dynamics. The device features printed encapsulated metal electrodes that achieve high-sensitivity capacitance measurements (0.01 µL min<sup>−1</sup>) within a compact, lightweight design. Sweat rate data is wirelessly transmitted to a smartphone application, with the system validated through comprehensive modeling, simulations, and experiments. Art by the team of INMYWORK Studio (https://inmywork.com).\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 3","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202570015","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143632953","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}
Ahmed Hamza, Santosh Kumar Prabhulingaiah, Pegah Pezeshkpour, Bastian E. Rapp
{"title":"Hand Gesture Recognition Using Frequency-Modulated Continuous Wave Radar on Tactile Displays for the Visually Impaired","authors":"Ahmed Hamza, Santosh Kumar Prabhulingaiah, Pegah Pezeshkpour, Bastian E. Rapp","doi":"10.1002/aisy.202570009","DOIUrl":"https://doi.org/10.1002/aisy.202570009","url":null,"abstract":"<p><b>Hand Gesture Recognition</b>\u0000 </p><p>In article number 2400663, Pegah Pezeshkpour and co-workers present a hand gesture recognition application using a radar sensor for Braille displays. The range-time and velocity-time maps were extracted from the raw data and were processed in the form of spectrogram images. Using support vector machines and convolutional neural network approaches, ten hand gestures were successfully classified with high detection accuracy.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 2","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202570009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143423588","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}
Daniel Garcia-Gonzalez, Ritu Raman, Simone Schuerle, Andy Tay
{"title":"Magnetic Actuation for Mechanomedicine","authors":"Daniel Garcia-Gonzalez, Ritu Raman, Simone Schuerle, Andy Tay","doi":"10.1002/aisy.202570007","DOIUrl":"https://doi.org/10.1002/aisy.202570007","url":null,"abstract":"<p><b>Mechanomedicine</b>\u0000 </p><p>The emergence of magneto-mechanical actuation systems in biomedical research and mechanomedicine, ranging from single particles to 3D scaffolds, enable dynamic and remote modulation of cellular processes. By mechanically simulating physiological and pathological processes, these systems offer a new path for invitro research, that may be translated to in vivo innovation for therapeutic discoveries. More details can be found in article number 2400638 by Daniel Garcia-Gonzalez and co-workers.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 2","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202570007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143423587","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}
Douglas Henrique Vieira, Emanuel Carlos, Maíza Silva Ozório, Maria Morais, Elvira Fortunato, Neri Alves, Rodrigo Martins
{"title":"Ecofriendly Printed Wood-Based Honey-Gated Transistors for Artificial Synapse Emulation","authors":"Douglas Henrique Vieira, Emanuel Carlos, Maíza Silva Ozório, Maria Morais, Elvira Fortunato, Neri Alves, Rodrigo Martins","doi":"10.1002/aisy.202570006","DOIUrl":"https://doi.org/10.1002/aisy.202570006","url":null,"abstract":"<p><b>Wood-Based Honey-Gated Transistors</b>\u0000 </p><p>In this study, Emanuel Carlos, Rodrigo Martins, and co-workers fabricated transistors printed onto wood, a biodegradable and renewable substrate that simplifies production by reducing processing steps, while creating opportunities for smart functionalities. The device combines wood with zinc oxide and honey, both environmentally friendly materials. Remarkably, the transistor demonstrated synaptic behavior, including plasticity and neural facilitation, emphasizing its potential for ecofriendly and sustainable neuromorphic systems. More details can be found in article number 2400760.\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 2","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202570006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143423546","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":"Compensated Current Mirror Neuron Circuits for Linear Charge Integration with Ultralow Static Power in Spiking Neural Networks","authors":"Jonghyuk Park, Sungjoon Kim, Woo Young Choi","doi":"10.1002/aisy.202570010","DOIUrl":"https://doi.org/10.1002/aisy.202570010","url":null,"abstract":"<p><b>Spiking Neural Networks</b>\u0000 </p><p>In article number 2400673, Jonghyuk Park, Sungjoon Kim, and Woo Young Choi present a neuron circuit that optimizes vector-matrix multiplication performance in spiking neural networks (SNNs) while ensuring low-power consumption. This research validates the achievement of high SNN system accuracy through a CMOS neuron circuit arranged to prevent non-linear operations that occur during the integration of massive synaptic arrays and neurons.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 2","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202570010","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143423589","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":"Solving Data Overlapping Problem Using A Class-Separable Extreme Learning Machine Auto-Encoder","authors":"Ekkarat Boonchieng, Wanchaloem Nadda","doi":"10.1002/aisy.202400255","DOIUrl":"https://doi.org/10.1002/aisy.202400255","url":null,"abstract":"<p>Data overlapping and imbalanced data are significant challenges in data classification. Extreme learning machine auto-encoding (ELM-AE) is a feature reduction method that transforms original features into a new set of features capturing essential information in the data. However, ELM-AE may not effectively solve the overlapping data problem. In this research, a new method called class-separable extreme learning machine auto-encoding (CS-ELM-AE) is proposed, to improve ELM-AE's efficacy in addressing the overlapping data problem and thereby increasing classification efficiency. CS-ELM-AE encodes points in the same class of the dataset to be closer together. Oversampling is also applied to the encoded dataset to solve the imbalanced data problem. The experiments demonstrate that CS-ELM-AE could significantly improve classification model performance and achieve higher levels of accuracy, as well as greater f1-score and G-mean values than the original ELM-AE.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 3","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202400255","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143632660","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}