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IEEE Annual International computer Software and Applications Conference (COMPSAC)

作者： Nico Surantha Edward Yose Sani Muhamad Isa Department of Electrical Electronics and Communication Engineering Faculty of Science and Engineering Tokyo City University Tokyo Japan Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798350376968

ISBN: (纸本)9798350376975

Attendance systems have become more modern, and one of the biometric systems without physical contact is face recognition. However, many face-based attendance systems still carry out attendance individually and cannot detect multiple faces simultaneously. In addition, capturing facial data in real-time is still a challenge because the relatively large distance between the camera and the individual reduces the ability to recognize faces. The general solution is to use super-resolution to generate better-quality faces while maintaining the main facial recognition features. One technique still being researched is super-resolution generative adversarial networks (SRGAN). SRGAN can enlarge the resolution of captured images and maintain image quality sufficient for face recognition. The attendance system can be easily integrated into edge devices such as the Jetson Nano. This paper proposes automatic and effective attendance systems with the super-resolution technique to detect and recognize faces in low-resolution input. The experimental results show that using face data capture with a resolution of 40 × 40 pixels and a four-fold magnification results in a resolution of 160 × 160 pixels. Combining Face SRGAN with FaceNet architecture as the basis of face recognition can achieve an accuracy rate of 78.19% and an F1-Score of 81.13% with an average processing time of 1.61 seconds per frame on a PC and 14.55 seconds per frame on a Jetson Nano at an average of face recognition per frame of as many as up to 8 faces simultaneously.

关键词： Support vector machines Image quality Accuracy Face recognition Image edge detection Superresolution Generative adversarial networks

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Sleep Monitoring Systems based on Edge Computing and Microservices Caching

Sleep Monitoring Systems based on Edge Computing and Microse...

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Artificial Intelligence of Things (AIoT), IEEE Annual Congress on

作者： Nico Surantha David Jayaatmaja Sani Muhamad Isa Faculty of Science and Engineering Department of Electrical Electronics and Communication Engineering Tokyo City University Tokyo Japan Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798350392296

ISBN: (纸本)9798350392302

The rapid development of Internet of Things (IoT) technology has enabled the widespread deployment of health monitoring systems. Traditionally, the health monitoring system has been limited by centralized processing and storage in the cloud, leading to latency issues and potential data loss. This paper introduces a smart sleep monitoring system based on edge computing, utilizing microservices architecture and caching techniques. The proposed system employs edge computing to enable data processing closer to the source, reducing latency and improving real-time monitoring capabilities. Caching is employed to reduce database load and optimize random access memory (RAM) usage. This research addresses latency and response time challenges on IoT health monitoring platforms in environments with poor network quality while optimizing database load and resource usage on Jetson Nano as the edge computing device. Using Electrocardiogram (ECG) data as input, the proposed system yields impressive performance metrics. The research results indicate that the proposed system can increase throughput by 26.92 KB/s, reduce response time by 18.8 ms, and decrease latency by 20.86 ms compared to the previous work. Message Queuing Telemetry Transport (MQTT) integration reduces CPU usage by approximately 40% and RAM usage by about 81.24%.

关键词： Cloud computing Databases Random access memory Microservice architectures Real-time systems Nanoscale devices Internet of Things

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Recent Developments in Fiber Optic Sensing for Energy Infrastructure Applications

Recent Developments in Fiber Optic Sensing for Energy Infras...

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2024 Bragg Gratings, Photosensitivity, and Poling in Glass Waveguides, BGPP 2024

作者： Ohodnicki, Paul R. Naeem, Khurram Zhang, Pengdi Su, Yang-Duan Karki, Dolendra Lalam, N. Wright, R. Mechanical Engineering and Materials Science University of Pittsburgh Pittsburgh PA 15260 Electrical and Computer Engineering University of Pittsburgh Pittsburgh PA 15260 Department of Physics and Astronomy University of Pittsburgh Pittsburgh PA 15260 Leidos Contractor to the US Department of Energy Pittsburgh PA 15236 National Energy Technology Laboratory Pittsburgh PA 15236

Fiber optic sensing technologies show unique relevance for energy infrastructure sensing. Prevalence for such a broad set of applications results in part from inherent advantages of fiber optic-based sensing modalities as compared to traditional electrical sensor platforms, as well as flexibility of the platform to be tailored towards unique attributes and requirements of different applications. A non-exhaustive overview of several emerging trends within the field of optical fiber sensing technology and energy infrastructure monitoring is presented, including both recent results as well as future pathways for further development and technological innovations leading to potential commercial viability. More specifically, we emphasize recent advances in: (1) Distributed and quasi-distributed fiber optic sensing technology for structural health monitoring through fusion with traditional acoustic non-destructive evaluation methods;(2) Combination with commercial wireless sensing technologies for asset health monitoring applications;and (3) combination of multimode interferometric sensing devices with engineered sensing materials for novel applications measuring non-traditional parameters such as magnetic fields. © Optica Publishing Group 2024.

关键词： Optical fibers

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The growing memristor industry

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Nature 2025年第8059期640卷 613-622页

作者： Lanza, Mario Pazos, Sebastian Aguirre, Fernando Sebastian, Abu Le Gallo, Manuel Alam, Syed M. Ikegawa, Sumio Yang, J. Joshua Vianello, Elisa Chang, Meng-Fan Molas, Gabriel Naveh, Ishai Ielmini, Daniele Liu, Ming Roldan, Juan B. Department of Materials Science and Engineering National University of Singapore Singapore Singapore Institute for Functional Intelligent Materials National University of Singapore Singapore Singapore Centre for Advanced 2D Materials (CA2DM) National University of Singapore Singapore Singapore Materials Science and Engineering Program Physical Science and Engineering Division King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia Intrinsic Semiconductor Technologies London United Kingdom IBM Research – Zurich Rüschlikon Switzerland Everspin Technologies Chandler AZ United States Department of Electrical and Computer Engineering University of Southern California Los Angeles CA United States CEA-Leti Université Grenoble Alpes Grenoble France Department of Electrical Engineering National Tsing Hua University Hsinchu Taiwan Weebit Nano Hod Hasharon Israel Dipartimento di Elettronica Informazione e Bioingegneria (DEIB) Politecnico di Milano and *** Milano Italy Key Laboratory of Microelectronic Devices and Integrated Technology Institute of Microelectronics Chinese Academy of Sciences Beijing China Departamento de Electrónica y Tecnología de Computadores Universidad de Granada Facultad de Ciencias Granada Spain

The semiconductor industry is experiencing an accelerated transformation to overcome the scaling limits of the transistor and to adapt to new requirements in terms of data storage and computation, especially driven by artificial intelligence applications and the Internet of Things. In this process, new materials, devices, integration strategies and system architectures are being developed and optimized. Among them, memristive devices and circuits—memristors are two-terminal memory devices that can also mimic some basic bioelectronic functions—offer a potential approach to create more compact, energy-efficient or better-performing systems. The memristor industry is growing quickly, raising abundant capital investment, creating new jobs and placing advanced products in the market. Here we analyse the status and prospects of the memristor industry, focusing on memristor-based products that are already commercially available, prototypes with a high technological readiness level that might affect the market in the near future, and discuss obstacles and pathways to their implementation. © Springer Nature Limited 2025.

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Heterogeneous Cathode Work Function Measurement and Interpretation: A case Study with SrVO3 23

Heterogeneous Cathode Work Function Measurement and Interpre...

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23rd International Vacuum Electronics Conference, IVEC 2022

作者： Lin, Lin Jacobs, Ryan Morgan, Dane Booske, John University of Wisconsin-Madison Department of Materials Science and Engineering MadisonWI53706 United States University of Wisconsin-Madison Department of Electrical and Computer Engineering MadisonWI53706 United States

ISBN: (纸本)9781665443258

Work function is a key electron emission property. However, questions remain on how to unambiguously measure and interpret the work function. In this proceeding, using polycrystalline SrVO3 perovskite as an example, we clarify a few key issues in work function characterization. We show that the vacuum level, which is significantly affected by the patch and external electric fields, needs to be carefully selected to obtain a clear work function interpretation. © 2022 IEEE.

关键词： Work function

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Breakdown Voltage Enhancement of GaN diodes with High-k Dielectric

Breakdown Voltage Enhancement of GaN diodes with High-k Diel...

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2022 Device Research Conference, DRC 2022

作者： Talesara, Vishank Zhang, Yuxuan Cheng, Junao Zhao, Hongping Lu, Wu The Ohio State University Department of Electrical and Computer Engineering ColumbusOH43210 United States The Ohio State University Department of Materials Science and Engineering ColumbusOH43210 United States

ISBN: (数字)9781665498838

ISBN: (纸本)9781665498838

Gallium nitride (GaN) has the great potential for high-power devices due to its wide bandgap and high breakdown field. In particular for high-power GaN pn diodes, critical field is noticed at the p-n interface and electrode edges at a high reverse bias. Therefore, to achieve high breakdown voltage, electric field at the edges need to be decreased. Edge termination techniques such as guard rings and field plate help with field management, the critical electric field is still located at the edge of the electrode. To decrease the effects of high electric field and also to reduce the surface leakage current, addition of passivation layer is generally used. In such device structures, the electric field in the passivation layer decreases abruptly. To mitigate the field crowding effect, in this work, we implemented a thin high-k dielectric layer for breakdown voltage enhancement. We show significant breakdown voltage improvement on GaN p-n diodes with high-k dielectric (Barium titanate, BTO, ϵ 180)/spin-on-glass (SOG) passivation layers in comparison with devices with only low-k (3.9) SOG passivation layer. © 2022 IEEE.

关键词： Gallium nitride

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MOCVD Epitaxy of α-(AlxGa1-x)2O3(x =0-100%) on m-Plane Sapphire Substrate

MOCVD Epitaxy of α-(AlxGa1-x)2O3(x =0-100%) on m-Plane Sapp...

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2022 Compound Semiconductor Week, CSW 2022

作者： Bhuiyan, A F M Anhar Uddin Feng, Zixuan Huang, Hsien-Lien Meng, Lingyu Hwang, Jinwoo Zhao, Hongping Ohio State University Department of Electrical and Computer Engineering ColumbusOH43210 United States Ohio State University Department of Materials Science and Engineering ColumbusOH43210 United States

ISBN: (数字)9781665453400

ISBN: (纸本)9781665453400

Phase pure single crystal α-(AlxGa1-x)2O3 thin films are successfully grown on m-plane sapphire substrate via MOCVD. Comprehensive characterization by XRD, RSM mapping, atomic resolution STEM, Raman spectroscopy, SEM, AFM and XPS measurements reveal high quality epitaxial growth of α-(AlxGa1-x)2O3 thin films over the entire Al composition range (x=0-100%) and α-GaO/AlGaO superlattice structures with smooth surface morphology, sharp interfaces, and homogenous Al distribution. The bandgap energies of 5.41 eV (x=0) to 8.81 eV (x=1) are extracted from XPS measurements. The determined band offsets reveal a type-I band alignment at the α-AlGaO/GaOinterfaces with valance and conduction band offsets of 0.27 eV and 3.13 eV between α-Ga2O3 and α-Al2O3, respectively. © 2022 IEEE.

关键词： Thin films

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Objective Sleep Quality Measurement based on Fuzzy Logic and Wearable Device

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Procedia computer science 2023年 227卷 1153-1162页

作者： Jason A. Wijaya Pauw D. Andersen Nico Surantha Computer Science Department BINUS Graduate Program – Master of Computer Science Bina Nusantara University Jakarta 11480 Indonesia Department of Electrical Electronic and Communication Engineering Tokyo City University Japan

Sleep is the natural state of relaxation for human being. Sleep quality is an essential yet frequently neglected aspect of sleep in general. Sleep quality is essential because it allows the body to restore itself and prepare for the next day. The standard method for evaluating sleep quality was subjective evaluation. Actigraphy devices, which can measure the sleep cycle, are now widely available. This study developed a method using Fuzzy Logic and an actigraphy device to measure and classify sleep quality. The fuzzy logic method was developed in several stages, which are determining the sleep quality measurement parameters, constructing the fuzzy set for each input variable, and developing the fuzzy rules. To evaluate the proposed fuzzy model, five individuals were invited to participate in the experiment and required to complete the PSQI subjective sleep questionnaire. The evaluation result shows that our proposed Fuzzy model achieves lower error compared to the existing method.

关键词： sleep sleep quality actigraphy artificial intelligences fuzzy logic

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Low Thermal Conductivity Plaster – Perlite Microsphere Composites as Potential Thermal Insulation materials in Building Construction

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International Journal of Thermophysics 2025年第7期46卷 1-18页

作者： Viskadourakis, Z. Angelopoulos, P.M. Orfanou, M. Drymiskianaki, Α. Manousaki, A. Koudoumas, E. Taxiarchou, M. Kenanakis, G. N. Plastira 100 Vassilika Vouton HeraklionGR-70013 Greece School of Mining and Metallurgical Engineering National Technical University of Athens Zografou Campus 9 Iroon Polytechniou Str. Zografou AthensGR-15780 Greece Department of Electrical and Computer Engineering Hellenic Mediterranean University Estavromenos Heraklion71004 Greece Department of Materials Science and Technology University of Crete Heraklion CreteGR-70013 Greece National Institute for R & D in Microtechnologies - IMT Bucharest Bucharest077190 Romania

In the current study plaster − expanded perlite microsphere composites, were investigated regarding their thermal insulation properties. In this context commercially available plaster powder was mixed with expanded perlite microspheres, of various grain size distribution and bulk density, aiming the investigation of the effect of ultrafines in the aggregates on the mechanical properties of the composites. The mixing procedure resembles that of making plaster mortars, in building construction. Thermal conductivity of composites was found to be sizably lower than that of pure plaster, and was further decreased with increasing filler loading. Moreover, filler density seems to affect thermal insulation performance, at high loading concentrations. Slight increase of the mechanical properties was identified when aggregates include ultrafine particles. Thermal insulation performance experiments indicate that plaster − expanded perlite microsphere composites clearly exhibit better thermal insulation properties, in comparison to pure plaster. Overall, expanded plaster − expanded perlite microsphere composites seem to be efficient insulation materials for potential applications in buildings’ construction, toward reducing their energy footprint. © The Author(s) 2025.

关键词： Thermal insulation

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A smart capsule with a bacteria- and pH-triggered enteric polymer coating for targeted colonic microbiome sampling

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Acta Biomaterialia 2025年 199卷 412-427页

作者： Sarnaik, Devendra Krishnakumar, Akshay Nejati, Sina Sullivan, Caitlyn R. Cross, Tzu-Wen L. Campbell, Wayne W. Johnson, Jay S. Rahimi, Rahim School of Materials Engineering Purdue University West LafayetteIN47907 United States Birck Nanotechnology Center Purdue University West LafayetteIN47907 United States School of Electrical and Computer Engineering Purdue University West LafayetteIN47907 United States Department of Animal Sciences Purdue University West LafayetteIN47907 United States Department of Nutrition Science Purdue University West LafayetteIN47907 United States Division of Animal Sciences University of Missouri ColumbiaMO65211 United States

The gut microbiome is recognized as a critical factor in advancing precision nutrition and medicine for health and in developing dietary recommendations and targeted therapies for gastrointestinal (GI) health and diseases. However, conventional sampling methods, such as fecal analysis and colonoscopy, often fail to capture microbial information from specific regions of the GI tract or require invasive procedures, thereby limiting accuracy and clinical utility. As a non-invasive alternative, passive sampling capsules have been developed for site-specific microbiome analysis by employing pH-sensitive enteric coatings that delay sampling until the capsule reaches the targeted intestinal region. Although this approach has been successful in the small intestine, colonic sampling remains challenging due to the high interpersonal variability in intestinal pH, which makes it difficult to rely solely on a pH-triggering mechanism. To overcome this challenge, a dual bacterially and pH triggered polymeric enteric coating was created by blending lactulose and N,N-dimethylaminoethyl methacrylate, enabling complete dissolution within the colonic region. Through systematic characterization of multiple polymer blend compositions using Fourier Transform Infrared Spectroscopy, Thermogravimetric Analysis, and Differential Scanning Calorimetry, an optimized design was identified that provides both suitable physical integrity and rapid (∼2 h) degradation in the presence of colonic bacteria, across a pH range of 5 to 8. The optimized blend was subsequently applied as a double-layer enteric coating on a sampling capsule, enabling the dissolution of the outer layer in the small intestine and complete dissolution of the inner layer in the colon. In-vitro and in-vivo pig model studies were conducted to validate the capsule's sampling performance and to ensure the preservation of the microbial environment. Furthermore, 16S rRNA sequencing revealed a taxonomic similarity between samples collect

关键词： Fourier transform infrared spectroscopy

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