Article
Optics
Chi Xu, William E. Hayenga, Demetrios N. Christodoulides, Mercedeh Khajavikhan, Patrick LiKamWa
Summary: We demonstrate how the gain-loss contrast between two coupled identical resonators can be utilized to enhance the modulation frequency response of laser diodes. By adjusting the ratio of injection current levels, significant bandwidth improvement is achieved, up to 1.63 times the fundamental resonant frequency of individual devices.
Article
Automation & Control Systems
Simon Armleder, Emmanuel Dean-Leon, Florian Bergner, Gordon Cheng
Summary: This work introduces a control architecture for deploying large-scale robot skin in a Human-Robot Collaboration scenario, showcasing how whole-body tactile feedback enhances robot capabilities in dynamic interactions. The system utilizes an uncalibrated skin system for stable force control and multi-contact interactions, demonstrating robust force control and responsiveness to user interactions under dynamic conditions.
ADVANCED INTELLIGENT SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Yuhai Wei, Hui Zhang, Hang Zhong, Li Liu, Yiming Jiang, Yaonan Wang
Summary: This paper proposes an efficient Double Simultaneous Majorization Particle Filter algorithm for localization and mapping of a mobile robot. By using pose majorization and weight majorization algorithms, the accuracy of robot localization and particle-carried map is improved. The proposed adaptive hierarchical resampling method maintains particles with higher weights.
IEEE SENSORS JOURNAL
(2022)
Review
Chemistry, Multidisciplinary
Lutai Fan, Peng Jia, Yuxin Lei, Qiang Cui, Yongyi Chen, Li Qin, Lei Liang, Cheng Qiu, Yue Song, Yubing Wang, Yongqiang Ning, Lijun Wang
Summary: This article analyzes transistor lasers (TL) and highlights their potential as high-speed optical fiber communication light sources. The research progress in TL modulation characteristics is discussed, along with common methods to increase modulation rates. The challenges TL faces in the field of optical fiber communication are also elucidated.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Hardware & Architecture
Shailja Pandey, Preeti Ranjan Panda
Summary: The paper introduces an application-aware efficient task mapping and migration-based dynamic thermal management policy, which effectively utilizes the channel layout of HBM and the temperature gradient across DRAM dies, combined with application-aware dynamic voltage and frequency scaling to reduce the performance impact of thermal issues caused by memory-intensive workloads like deep neural networks running on HBM.
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
(2022)
Article
Optics
Yiwei Sun, Sitong Wang, Jianping Chen, Guiling Wu
Summary: The proposed high anti-jamming and anti-interception frequency hopping receiving scheme utilizes interference and frequency-to-time mapping to improve receiving performance by changing delay difference between interference arms and fast pulse shaping. This scheme enhances receiving selectivity and frequency band utilization, ultimately improving overall system performance.
Article
Optics
Sunan Yao, Huaqing Chai, Lei Lei, Zihe Zhu, Guoqiang Li, Wenliang Wang
Summary: This study designs micro-LED arrays with different array numbers for high-speed visible light communication and lighting. The 2 x 2 array micro-LEDs exhibit a high modulation bandwidth of approximately 785 MHz at higher injection current, with a light output power over 7 mW, making them more suitable for visible light communication in free space.
Article
Robotics
Liyang Liu, Simon Fryc, Lan Wu, Thanh Long Vu, Gavin Paul, Teresa Vidal-Calleja
Summary: The letter introduces an interactive probabilistic mapping framework for a mobile manipulator to pick objects, which actively decides the next steps, picks objects, and updates the scene map. The innovative dynamic GP Implicit Surface method reflects environment changes effectively, balancing object reachability and map information gain to optimize decision-making.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Robotics
Andrew Specian, Ross Mead, Simon Kim, Maja Mataric, Mark Yim
Summary: This article introduces Quori, a novel and affordable socially interactive humanoid robot platform designed based on feedback from the HRI research community, maintaining a balance between affordability and functionality. Ten Quori platforms have been distributed to researchers across the United States to facilitate HRI research and build a community database from a common platform.
IEEE TRANSACTIONS ON ROBOTICS
(2022)
Article
Chemistry, Analytical
Davide Di Giuseppe, Alexandro Catini, Elisabetta Comini, Dario Zappa, Corrado Di Natale, Eugenio Martinelli
Summary: This paper proposes a novel interface for metal oxide based gas sensors, utilizing a feedback-based thermal modulation method and an active digital control to maximize information collection from the sensors. By driving sensor operating temperature based on changes in sensor resistance, the proposed interface allows for real-time control over modulation parameters, enabling drift compensation, fault identification, and minimization of mutual information between sensors. Testing in lab calibration and practical scenarios showed better performance compared to standard thermal modulation techniques.
SENSORS AND ACTUATORS B-CHEMICAL
(2021)
Article
Robotics
Catherine Veronneau, Jeff Denis, Pierre Lhommeau, Alexandre St-Jean, Alexandre Girard, Jean-Sebastien Plante, Jean-Philippe Lucking Bigue
Summary: In the past decade, the development of simple and easy-to-use robotics has made collaborative robots more accessible, allowing them to work closely with humans. However, current collaborative robots compromise work speed for safety. To address this problem, researchers have proposed a novel robotic actuator architecture based on magnetorheological power chains, which provide high dynamic performance, backdrivability, and low-reflected inertia. Experimental results show that this modular robotic joint has similar size, weight, and torque density as a standard robotic joint but with significantly less inertia and higher backdrivability.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Article
Construction & Building Technology
Yang Geng, Mufeng Yuan, Hao Tang, Ye Wang, Ziliang Wei, Borong Lin, Weimin Zhuang
Summary: This paper presents a robot-based mobile sensing system for high-resolution temperature monitoring, with experiments showing the robot velocity of 0.25-0.45 m/s to be optimal and two spatial-temporal processing methods developed for continuous thermal map reconstruction.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Optics
Shuai Shao, Jiachen Li, Yunhao Wu, Sigang Yang, Hongwei Chen, Minghua Chen
Summary: The study introduces a hybrid modulation bandwidth enhanced self-injection locking laser by coupling a commercial distributed feedback laser with an external high-Q silicon nitride microring reflector. Through optimizing the parameters of the reflector, the modulation bandwidth and linewidth of the hybrid laser were successfully enhanced and narrowed.
Article
Environmental Sciences
Marta Ciazela, Jakub Ciazela, Bartosz Pieterek
Summary: Thermal inertia represents the resistance to temperature change on the surface, and a new analytical method based on ATI has been proposed for thermal mapping, showing the significant influence of slope and aspect on albedo and diurnal temperature differences.
Article
Computer Science, Artificial Intelligence
Jingwen He, Chao Dong, Yihao Liu, Yu Qiao
Summary: The paper introduces a new multi-dimension modulation method to adjust output effects across multiple degradation types and levels, which is more effective in handling various degradation types and alleviating data imbalance compared to previous single-dimension modulation.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2022)
Article
Chemistry, Analytical
I. Nyoman Kusuma Wardana, Julian W. Gardner, Suhaib A. Fahmy
Summary: Accurate air quality monitoring requires complex data processing from multiple sensors across different locations. This study introduces a hybrid deep learning model for hourly PM2.5 prediction and optimizes it for edge devices, showing improved performance in both accuracy and latency. The model, comprised of a 1D CNN and LSTM, outperforms other deep learning models and executes faster on edge devices like Raspberry Pi 3 and 4.
Article
Engineering, Electrical & Electronic
Jan Peter Specht, Siavash Esfahani, Teng Hwang Tan, Florentyna Sosada-Ludwikowska, Robert Wimmer-Teubenbacher, Anton Koeck, Marina Cole, Julian William Gardner
Summary: This paper presents the use of an aluminium nitride based 1.1 GHz FBAR for particle detection, showing that the FBAR frequency decreases with increasing particulate matter concentration in air. A custom-built test chamber and microchannel system were used to improve sampling accuracy, with results indicating that the sampling channel increased sensitivity of the FBAR resonant frequency to particle concentration. The experiments also explored the feasibility of using a microfan to aid cleaning of FBARs after particle measurement, especially for lower particle concentration levels.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Jan Peter Specht, Siavash Esfahani, Yuxin Xing, Anton Kock, Marina Cole, Julian William Gardner
Summary: This article presents a solidly mounted resonator (SMR) PM sensor with improved sensitivity through thermal modulation. The temperature-modulated device showed a nearly five-fold increase in mass sensitivity compared to the unmodulated sensor. The repeatability of measurements was significantly improved by adding an impactor mechanism to the device, making it a promising low-cost technology for air quality monitoring.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Multidisciplinary Sciences
Daniel Popa, Richard Hopper, Syed Zeeshan Ali, Matthew Thomas Cole, Ye Fan, Vlad-Petru Veigang-Radulescu, Rohit Chikkaraddy, Jayakrupakar Nallala, Yuxin Xing, Jack Alexander-Webber, Stephan Hofmann, Andrea De Luca, Julian William Gardner, Florin Udrea
Summary: The gas sensor market is rapidly growing due to various socioeconomic and industrial factors, with a particular demand for high-performance MIR gas sensors in healthcare, smart homes, and the automotive sector. Researchers have developed an on-chip broadband thermal MIR source based on CMOS technology and a CNT blackbody layer, offering an ideal solution for low-cost, highly-integrated MIR spectroscopy.
SCIENTIFIC REPORTS
(2021)
Article
Computer Science, Artificial Intelligence
I. Nyoman Kusuma Wardana, Julian W. Gardner, Suhaib A. Fahmy
Summary: The incompleteness of datasets is a key challenge in building machine learning models for time series prediction. This study proposes an autoencoder model to estimate missing values in air quality data and uses data from nearby stations to enhance predictions.
NEURAL COMPUTING & APPLICATIONS
(2022)
Correction
Computer Science, Artificial Intelligence
I. Nyoman Kusuma Wardana, Julian W. Gardner, Suhaib A. Fahmy
NEURAL COMPUTING & APPLICATIONS
(2022)
Review
Chemistry, Analytical
Ethan L. W. Gardner, Julian W. Gardner, Florin Udrea
Summary: In recent years, there has been an increasing demand for gas sensors to monitor and control harmful substances arising from industrial processes. Thermal conductivity gas sensors offer advantages over chemical sensors, such as higher reproducibility, better stability, lower cost, and faster response time. This review focuses on the state-of-the-art in thermal conductivity sensors, including introduction, theory of operation, interface electronics, commercial applications, recent research developments, and innovations in this field.
Article
Engineering, Electrical & Electronic
I. Nyoman Kusuma Wardana, Suhaib A. Fahmy, Julian W. Gardner
Summary: This letter reports the development of a low-cost air quality monitoring device with embedded tinyML models. The device can predict air quality and power parameters, as well as impute missing features. The results show that the model can estimate parameters accurately and impute missing data effectively, albeit with a slight decrease in accuracy after posttraining quantization.
IEEE SENSORS LETTERS
(2023)
Proceedings Paper
Chemistry, Analytical
Yuxin Xing, Julian W. Gardner
Summary: This paper presents a method for classifying urine odour using an odour sensing device and machine learning algorithms. The experimental results show that the three classifier methods employed have high classification accuracy, especially with a 100% success rate in urine classification.
2022 IEEE INTERNATIONAL SYMPOSIUM ON OLFACTION AND ELECTRONIC NOSE (ISOEN 2022)
(2022)
Proceedings Paper
Engineering, Electrical & Electronic
Jan Peter Specht, Siavash Esfahani, Marina Cole, Julian William Gardner
Summary: This paper presents a CMOS-based SMR with a resonant frequency of about 2 GHz and a Q-factor of ca 200, suitable for air quality monitoring and with various potential functionalities.
2021 21ST INTERNATIONAL CONFERENCE ON SOLID-STATE SENSORS, ACTUATORS AND MICROSYSTEMS (TRANSDUCERS)
(2021)
Proceedings Paper
Engineering, Electrical & Electronic
Siavash Esfahani, Piers Rollins, Jan Peter Specht, Marina Cole, Julian W. Gardner
Proceedings Paper
Engineering, Electrical & Electronic
Yuxin Xing, Marina Cole, Julian W. Gardner
2019 20TH INTERNATIONAL CONFERENCE ON SOLID-STATE SENSORS, ACTUATORS AND MICROSYSTEMS & EUROSENSORS XXXIII (TRANSDUCERS & EUROSENSORS XXXIII)
(2019)
