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2010 10th IEEE Conference on Nanotechnology, NANO 2010

作者： Lee, Sang Young Yoon, Sang Youl Lee, Kyeong-Hwan Yang, Sung Department of Nanobio Material and Electronics School of Information and Mechatronics GIST Korea Republic of Graduate- Program of Medical System Engineering Biomedical Micro/Nano Device Laboratory GIST Korea Republic of

ISBN: (纸本)9781424470334

This paper demonstrates a novel micro/nano fluidic device for continuous pH sensing of small fluid volumes. The working principle of the device is based on the change of the surface charge density within the silica nano channels with respect to the pH levels of the electrolyte. In order to measure pH levels of various solutions, AC potential is applied along the silica nanochannels which have 50 nm depth, 2 μm width, and 30 μm length. The running current along the nanofluidic channels is directly measured with respect to pH levels. It was found that the running current is inversely proportional to pH levels regardless of ion concentrations. ©2010 IEEE.

关键词： Electrolytes

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Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework

arXiv

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arXiv 2025年

作者： Lee, Cheol-Hui Kim, Hakseung Yoon, Byung C. Kim, Dong-Joo Department of Brain and Cognitive Engineering Korea University Seoul Korea Republic of Interdisciplinary Program in Precision Public Health Korea University Seoul Korea Republic of Department of Radiology Stanford University School of Medicine VA Palo Alto Health Care System Palo AltoCA United States Department of Neurology Korea University College of Medicine Seoul Korea Republic of

Sleep is essential for maintaining human health and quality of life. Analyzing physiological signals during sleep is critical in assessing sleep quality and diagnosing sleep disorders. However, manual diagnoses by clinicians are time-intensive and subjective. Despite advances in deep learning that have enhanced automation, these approaches remain heavily dependent on large-scale labeled datasets. This study introduces SynthSleepNet, a multimodal hybrid self-supervised learning framework designed for analyzing polysomnography (PSG) data. SynthSleepNet effectively integrates masked prediction and contrastive learning to leverage complementary features across multiple modalities, including electroencephalogram (EEG), electrooculography (EOG), electromyography (EMG), and electrocardiogram (ECG). This approach enables the model to learn highly expressive representations of PSG data. Furthermore, a temporal context module based on Mamba was developed to efficiently capture contextual information across signals. SynthSleepNet achieved superior performance compared to state-of-the-art methods across three downstream tasks: sleep-stage classification, apnea detection, and hypopnea detection, with accuracies of 89.89%, 99.75%, and 89.60%, respectively. The model demonstrated robust performance in a semi-supervised learning environment with limited labels, achieving accuracies of 87.98%, 99.37%, and 77.52% in the same tasks. These results underscore the potential of the model as a foundational tool for the comprehensive analysis of PSG data. SynthSleepNet demonstrates comprehensively superior performance across multiple downstream tasks compared to other methodologies, making it expected to set a new standard for sleep disorder monitoring and diagnostic systems. The source code is available at https://***/dlcjfgmlnasa/SynthSleepNet. Copyright © 2025, The Authors. All rights reserved.

关键词： Self-supervised learning

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R & D of ray tracing simulation software and fabrication technologies based on VCAD (Volume-CAD) concept for GRIN lens

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Key engineering Materials 2008年 381-382卷 109-112页

作者： Itani, N. Watanabe, Y. Lin, W. Uehara, Y. Morita, S. Mishima, T. Ohmori, H. Makinouchi, A. Graduate School of Science and Engineering Saitama University 255 Shimo-Okubo Sakura-ku Saitama City Saitama 338-8570 Japan VCAD System Research Program CIPS RIKEN 2-1 Hirosawa Wako-shi Saitama 351-0198 Japan

We have been developing an intellectual manufacturing process applying IT (V-Cam system fabrication processes) based on Volume-CAD (VCAD) system which can express internal information of materials. This paper introduces the ultra-precision grinding, ray tracing (optical path) simulation software 'V-Opt' and the measurement of actual optical functions in the development of optical element taking gradient refractive index (GRIN) lens with functionally graded material properties as a model. In finish ground GRIN lens using SD#8000 wheel, the P-V (Peek to Value) of 27.07 nm, surface roughness (Ra) of 1.83 nm is obtained. 'V-Opt' developed for GRIN lens have two main functions;one is the visualizations of ray tracing and the other is the evaluation of spot diagram and focal length.

关键词： Grinding (machining)

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Lab report writing (and teaching!) made easy

Lab report writing (and teaching!) made easy

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2008 ASEE Annual Conference and Exposition

作者： Magleby, Alyssa Furse, Cynthia University of Utah Department of Electrical and Computer Engineering University of Utah NSF DLR Project - Integrated System Level Design NSF STEP Program LiveWire Test Labs Inc.

This paper reports on a project to improve students' ability to write better lab reports and assist teaching assistants (TAs) in grading reports in a consistent manner. A lab report teaching system was developed that includes lab report templates, teaching assistant instructions, grading rubrics, examples, peer review materials and instructions, and recommendations for quickly providing student feedback (grading). These materials were developed for project-based labs across the electrical engineering curriculum and utilize methods to write weekly lab updates that are combined into a final lab report, mimicking methods commonly used in industry. The technical writing information was adapted to all levels of complexity to help students from freshman through senior years. The system begins with instruction on writing very basic reports, and builds each year on previous knowledge and practices, to prepare students to later write complex reports. This system is designed to improve students' understanding of labs (by 'writing to learn') in addition to preparing them for the communication intensive workplace. The amount of time spent grading such reports is often a primary concern, as this is commonly given as a reason for not requiring advanced writing assignments in engineering classes. Detailed guidelines and grading rubrics are included in this manual to instruct TAs on better and more consistent grading techniques. Guidelines for checking both lab books and formal lab reports help improve TA training and grading consistency, reducing student complaints. Although this system was designed for an electrical engineering program, it can also be adapted to other technical fields and used for various scientific lab reports. © American Society for engineering Education, 2008.

关键词： Grading

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A Vision-Based Neural Networks Model for Turbine Trench-Filler Diagnosis 1

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7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023

作者： Isaza, Cesar Guerrero-Garcia, Fernando Anaya, Karina Jenab, Kouroush Ortega-Moody, Jorge Networking and Telecommunication Academic Program Polytechnic University of Queretaro Queretaro Mexico Productive System Master Academic Program Polytechnic University of Queretaro Queretaro Mexico School of Engineering and Computer Science Morehead State University MoreheadKY40351 United States

ISBN: (数字)9783031396199

ISBN: (纸本)9783031396182

Vision-based neural networks as artificial intelligence models have been critical in many manufacturing industries, including automotive, food, and aerospace. Machine vision and deep learning have provided practical, promising, and accessible innovations to address many problems during manufacturing and diagnostics. Recent studies offer beneficial results in implementing industrial artificial intelligence systems that require determining, comparing, and evaluating optimal technological solutions. The aerospace industry has to deal with the problem of diagnosing critical components that continually need the expertise of a trained human being. On the other hand, automatic diagnostics are becoming a critical technology to deal with this problem. However, these systems require a particular configuration of computer vision algorithms which, in the case of turbine trench-filling components, have yet to be added to the literature. Considering the above, we report in this paper a new methodology that uses a pre-trained deep neural network framework available online to automatically diagnose geometric nonconformities in aeronautical components that protect the turbines from vibrations and reduce noise from the engines to the aircraft deck. The method is based on the following stages: a computer vision system with a monochrome camera to acquire images, training of deep neural networks with transfer learning, and a stage to analyze nonconformities automatically. In addition, a benchmark of several pre-trained deep neural networks is presented to address the problem. According to the experimental results, the YOLO deep neural network topology significantly contributes to automatic diagnosis with high precision and exact rate. Finally, we show that integrating deep neural networks with control graphs is a promising strategy to optimize online diagnostics in the production lines of the aeronautical industry. © The Author(s), under exclusive license to Springer Nature Switzerland

关键词： Deep neural networks

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Synthesis of Biodiesel from Second-Used Cooking Oil

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Energy Procedia 2013年 32卷 190-199页

作者： Wanodya Asri Kawentar Arief Budiman Master Program of System Engineering Faculty of Engineering Gadjah Mada University Yogyakarta Indonesia Chemical Engineering Department Gadjah Mada University Yogyakarta Indonesia

These days, many used cooking oils from restaurants were re-used by street sellers to fry their food. Those waste oils commonly just throw away. Whereas waste oils which have not any treatment first, will pollute the environment. One of the ways to treat the waste oil is by converting to biodiesel. This research aimed to study the kinetic reaction of second-used cooking oil transesterification into biodiesel and find the optimum condition of its process. This research was done by transesterification reaction in batch reactor. The feedstock was collected from the street sellers in Yogyakarta. Methanol was used as a reactant and KOH was used as a base catalyst. The study parameters were temperature, alcohol to oil molar ratio, and catalyst concentration. Several types of analysis used were free glycerol analysis, total glycerol analysis, free fatty acid (FFA) analysis, and saponification analysis. These analyses were used to calculate the yield of conversion and ester content of biodiesel sample. From this research, it is found that the kinetic reaction of second-used cooking oil transesterification can be expressed by k = 0.0251exp (-15.29/RT) dm3/(***). The optimum condition (the ester content 92.76%) of biodiesel production were obtained at temperature 66.5oC, molar ratio of methanol to oil 6.18:1, and 1 wt.% KOH.

关键词： Biodiesel Second-used cooking oil Transesterification Reaction kinetic

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Mechanical modeling and finite element analysis of porous cast products

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Seimitsu Kogaku Kaishi/Journal of the Japan Society for Precision engineering 2008年第12期74卷 1273-1277页

作者： Esmaeili, N. Alvesand, J.L. Teodosiu, C. VCAD System Research Program RIKEN Japan Department of Mechanical Engineering University of Minho Portugal

A study was conducted to develop a methodology to perform finite element (FE)-based simulations of the micromechanical response on actual three-dimensional (3D) microstructures. It was demonstrated that the methodology was applicable to other 3D image acquisition techniques, such as X-ray computed tomography. The simplifications performed in image manipulation and voxelization retained the major features of the pores, including their high angular morphology and orientation. A parallelepipedic volume of about 20 &19 &15 mm3 size and average porosity of about 0.05 were extracted from a car engine block made of an aluminum cast alloy to conduct the investigations. The 3D pore morphology was reconstructed from the stack of 3900 serial sections. The simulations were performed on 12 cubic subdomains of the parallelepipedic volume having the size of 3.31&1.77&2.98 mm3 where the porosity volume fraction varied from about 0.022% up to 25%.

关键词： Fracture

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Vessel-position Tracking in 3-sphere Space Using an Interacting Multiple Model Based on Lie Theory

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Journal of Institute of Control, Robotics and systems 2024年第6期30卷 643-649页

作者： Jeong, Da Bin Ko, Nak Yong Department of Electronic Engineering Interdisciplinary Program in IT-Bio Convergence System Chosun University Korea Republic of

This paper proposes a method for tracking vessel positions using an interacting multiple model approach based on Lie theory in 3-sphere space. Attitude increments and errors are evaluated and corrected using Lie algebra, as well as exponential and logarithmic operations. The covariance of attitudes is appropriately represented in Lie algebra. The proposed method is compared with two methods, i.e., the unscented Kalman filter (UKF) in which the attitude is represented by a unit quaternion (quaternion-utilizing UKF) and the UKF with a single model that uses Lie theory (Lie theory-incorporating UKF). The quaternion-utilizing UKF represents the attitude using quaternions without incorporating Lie theory, whereas the Lie theory-incorporating UKF represents the attitude as a unit quaternion and utilizes Lie theory. The comparisons indicate that the proposed method effectively reduces tracking errors. Additionally, the proposed method adapts to changes in maneuvering conditions using optimized model probabilities, ensuring timely and appropriate responses. The robustness and effectiveness of the proposed method in various maneuvering scenarios demonstrate its potential for enhancing vessel tracking accuracy in real-world applications. © ICROS 2024.

关键词： Exponential functions

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Optimal Design of Investment Casting system for a Stuffing Box with Pedestal of Centrifugal Pump: Computer Simulations and Experimental Verification

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Journal of the Chinese Society of Mechanical Engineers, Transactions of the Chinese Institute of Engineers, Series C/Chung-Kuo Chi Hsueh Kung Ch'eng Hsuebo Pao 2020年第5期41卷 551-563页

作者： Kuo, Jenn-Kun Huang, Pei-Hsing Tsai, Yu-Ting Zhong, Qi Chou, Chuen-Shii Department of Greenergy National University of Tainan Tainan70005 Taiwan Department of Mechanical Engineering National Yunlin University of Science and Technology Yunlin64002 Taiwan Bachelor's Program in Precision System Design Feng Chia University Taichung40724 Taiwan Department of Mechanical Engineering National Pintung University of Science and Technology Pingtung91201 Taiwan

The stuffing box with pedestal (SBP) is a major component in centrifugal pumps (CPs). It is responsible for the transfer of load generated in the CP to the baseplate of the pump and finally to the ground. SBPs are usually fabricated using investment casting;however, this process is prone to residual casting defects, which can reduce mechanical strength and increase the likelihood of crack formation following long-term usage. In this study, the AnyCasting numerical simulation software package was used to optimize the investment parameters for the casting of an SBP in SUS304 alloy. Optimization efforts targeted the shrinkage cavity (based on retained melt modulus) and porosity defects (based on Niyama criterion). The results of preliminary simulations and experiments informed the establishment of five casting schemes for subsequent simulation. We used virtual thermo-dynamic sensors to determine the rate and direction of solidification in the mold cavity, and also investigated variations in the velocity of the molten metal at the inlets of the gating system as a function of time. The optimal casting parameters derived in simulations were assessed by fabricating an SBP via investment casting in a domestic foundry. Nondestructive testing based on X-ray analysis revealed none of the detrimental defects commonly associated with this type of casting. © 2020, Chinese Mechanical engineering Society. All right reserved.

关键词： Investment casting

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Unconventional assemblies of bisacylhydrazones:The role of water for circularly polarized luminescence

Aggregate

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Aggregate 2022年第5期3卷 185-193页

作者： Hye Jin Cho Dong Yeun Jeong Hwihyun Moon Taewoo Kim You Kyoung Chung Yeongdong Lee Zonghoon Lee Joonsuk Huh Youngmin You Changsik Song Department of Chemistry Sungkyunkwan UniversitySuwonGyeonggi 16419Republic of Korea Division of Chemical Engineering and Materials Science Graduate Program in System Health Science and EngineeringEwha Womans UniversitySeoul 03760Republic of Korea Center for Multidimensional Carbon Materials Institute for Basic Science(IBS)Department of Materials Science and EngineeringUlsan National Institute of Science and Technology(UNIST)Ulsan 44919Republic of Korea

Understanding the precise molecular arrangement of chiral supramolecular polymers is essential not only to comprehend complex superstructures like proteins and DNA but also for the development of next-generation optoelectronic materials,including materials displaying high-performance circularly polarized luminescence(CPL).Herein,we report the first chiral supramolecular polymer systems based on hydrazone–pyridinium conjugates comprising alkyl chains of different lengths,which afforded control of the apparent supramolecular *** supramolecular chirality is governed basically by the remote chiral centers of alkyl chains,helicity inversion was achieved by controlling the conditions under which the hydrazone building blocks underwent aggregation(i.e.,solvent compositions or temperature).More importantly,the addition of water to the system led to aggregationinduced hydrazone deprotonation,which resulted in a completely different selfassembly *** water molecules played an essential role,forming the assembly’s channel-like backbone,around which hydrazone molecules gathered as a result of hydrogen bonding *** co-assembly of an achiral hydrazone luminophore with the given supramolecular polymer system allowed the fabrication of a novel CPL-active hydrazone-based material exhibiting a high maximum value for the photoluminescence dissymmetry factor of -2.6×10^(-2).

关键词： circularly polarized luminescence(CPL) helicity control hydrazone self-assembly structural water supramolecular polymerization

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