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13th International Physics Seminar 2024, IPS 2024

作者： Purwalaksana, A.Z. Wahyu, S. Ndari, W.E.W. Syah, S.A. Rismawati, E. Kusumadjati, A. Suharmanto, P. Department of Physics Universitas Negeri Jakarta Jl. Rawamangun Muka Jakarta13220 Indonesia Department of Physics Education Universitas Negeri Jakarta Jl. Rawamangun Muka Jakarta13220 Indonesia Physics Study Program Indonesia Defense University IPSC Sentul Area West Java16810 Indonesia Department of Industrial Engineering Faculty of Engineering and Computer Science Universitas Indraprasta PGRI Jl. Nangka Raya No.58 C Jakarta12530 Indonesia

The utilization of hydroponic cultivation in agriculture is increasing due to its high productivity even in limited spaces. However, in practice, monitoring and controlling nutrients in hydroponic systems often require intensive human supervision and intervention. This issue can be addressed through technological advancements, particularly with the adoption of microcontrollers, sensors, and the Internet of Things (IoT). Previous research has developed IoT-based monitoring and control systems for DFT hydroponics using the Blynk platform. This study aims to develop an IoT-based nutrient monitoring and automation system for floating raft hydroponics. Floating raft hydroponics was chosen for its simplicity, lower installation costs, and space optimization. The system developed in this study uses the HC-SR04 ultrasonic sensor with an average error of 1.229%, the DS18B20 water temperature sensor with an error of 0.415%, and the TDS sensor with an error of 2.055%. The sensor and actuator measurement data are presented via the Antares Web. This research has the potential to minimize the necessity for manual intervention in hydroponic systems, thereby enhancing both efficiency and consistency in nutrient delivery. © Published under licence by IOP Publishing Ltd.

关键词： Hydroponics

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Gate-length and drain-bias dependence of band-to-band tunneling-induced drain leakage in irradiated fully depleted SOI devices

Gate-length and drain-bias dependence of band-to-band tunnel...

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作者： Mamouni, Farah E. Dixit, Sriram K. Schrimpf, Ronald D. Adell, Philippe C. Esqueda, Ivan S. McLain, Michael L. Barnaby, Hugh J. Cristoloveanu, Sorin Xiong, Weize Electrical Engineering and Computer Science Department Vanderbilt University Nashville TN 37232 United States Interdisciplinary Materials Science Program Vanderbilt University Nashville TN 37235 United States Jet Propulsion Laboratory Pasadena CA 91109 United States Department of Electrical Engineering Arizona State University Tempe AZ 85287 United States IMEP-INP Grenoble MINATEC 38016 Grenoble France Texas Instruments Inc. Dallas TX 75808 United States

The effects of gate length and drain bias on the off-state drain leakage current of irradiated fully-depleted SOI $n$-channel MOSFETs are reported. The experimental results are interpreted using a model based on the combined effects of band-to-band tunneling (BBT) and the trapped charge in the buried oxide. For negative gate-source voltages, the drain leakage current increases with the drain voltage because the electric field in the gate-to-drain overlap region is increasing. The off-state current in these devices increases with total ionizing dose due to oxide trapped charge build up in the buried oxide, enhanced by the BBT mechanism. The experimental data show that these effects are more significant for devices with shorter gate-lengths. Simulation results suggest that the BBT-generated holes are more likely to drift all the way from the drain to the source in shorter devices, enhancing the drain leakage current, while they tend to tunnel across the gate oxide in longer devices. © 2006 IEEE.

关键词： MOSFET devices

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Biophysical and spectral characteristics of cool- and warm-season grasslands under three land management practices in Eastern Kansas

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Natural Resources Research 2000年第4期9卷 321-331页

作者： Guo, Xulin Price, Kevin P. Stiles, James M. Kansas Applied Remote Sensing Program (KARS) Department of Geography University of Kansas Lawrence KS 66045 2335 Irving Hill Road United States Radar Systems and Remote Sensing Laboratory (RSL) Department of Electrical Engineering and Computer Science University of Kansas Lawrence KS 66045 2335 Irving Hill Road United States Lawrence KS 66045 2335 Irving Hill Road United States

Grasslands are the largest of the Earth's four major vegetation types and are among the most agriculturally productive lands. Grassland management practices alter biophysical factors, such as plant species composition, soil structure and chemistry, and primary productivity. Large-scale changes in land management practices can have significant impacts on available natural resources, therefore impacting a regional socioeconomics. For these reasons, an improved understanding of the geographic distribution of changing land management practices and how these changes affect grassland biophysical characteristics of an area is critical to improve land use planning and practices. This study investigated the spectral characteristics, as measured using satellite remotely sensed data, of three land management practices [grazing, haying, and management under Conservation Reserve program (CRP)] on areas dominated by cool- and warm-season grasslands. The satellite imagery was acquired in May, July, and September in 1997 over Douglas County, Kansas. Biomass, vegetation cover, and species richness data were collected around the satellite overflight periods. Our results indicate that the biophysical characteristics and spectral reflectances are significantly different among the three management practices over cool- and warm-season grasslands. Interestingly, sites grazed by livestock had the highest species richness and the highest forb cover, although the total cover is almost the same as the other practices, and they have the highest near-infrared reflectance throughout the growing season. © 2000 International Association for Mathematical Geology.

关键词： Landsat Tallgrass prairie Thematic Mapper (TM)

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Deep learning of image features from unlabeled data for multiple sclerosis lesion segmentation

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8679卷 117-124页

作者： Yoo, Youngjin Brosch, Tom Traboulsee, Anthony Li, David K.B. Tam, Roger Department of Electrical and Computer Engineering University of British Columbia VancouverBC Canada Biomedical Engineering Program University of British Columbia VancouverBC Canada Division of Neurology University of British Columbia VancouverBC Canada Department of Radiology University of British Columbia VancouverBC Canada

A new automatic method for multiple sclerosis (MS) lesion segmentation in multi-channel 3D MR images is presented. The main novelty of the method is that it learns the spatial image features needed for training a supervised classifier entirely from unlabeled data. This is in contrast to other current supervised methods, which typically require the user to preselect or design the features to be used. Our method can learn an extensive set of image features with minimal user effort and bias. In addition, by separating the feature learning from the classifier training that uses labeled (pre-segmented data), the feature learning can take advantage of the typically much more available unlabeled data. Our method uses deep learning for feature learning and a random forest for supervised classification, but potentially any supervised classifier can be used. Quantitative validation is carried out using 1450 T2-weighted and PD-weighted pairs of MRIs of MS patients, with 1400 pairs used for feature learning (100 of those for labeled training), and 50 for testing. The results demonstrate that the learned features are highly competitive with hand-crafted features in terms of segmentation accuracy, and that segmentation performance increases with the amount of unlabeled data used, even when the number of labeled images is fixed. © Springer International Publishing Switzerland 2014.

关键词： Magnetic resonance imaging

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A Method of Obtaining a Digital Simulator of Continuous-Time Systems for computer Simulation

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IFAC Proceedings Volumes 1998年第28期31卷 23-27页

作者： Koichi Ichige Masaru Kamada Naohisa Otsuka Rokuya Ishii Doctoral Program in Engineering University of Tsukuba Tsukuba Ibaraki 305-8573 Japan. Department of Computer and Information Sciences Ibaraki University Hitachi Ibaraki 316-8511 Japan. Institute of Information Sciences and Electronics University of Tsukuba Tsukuba Ibaraki 305-8573 Japan. Division of Electrical and Computer Engineering Yokohama National University Yokohama 240-8501 Japan.

We discuss applicability of several s-z transformations to digital simulation of seismic signal propagation. Starting from a digital simulator obtained by the conventional s-z transformation, we locally optimize it wi... 详细信息

关键词： Digital simulation Frequency characteristics Impulse responses

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Preparation and Characterization of Porous Collagen Membranes on Silicon

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MRS Online Proceedings Library (OPL) 2011年第1期752卷 AA8.17-AA8.17页

作者： Lori A. Lepak Troy Richards Nancy Guillen Michelle Caggana James N. Turner Michael G. Spencer Cornell University Dept. of Chemistry and Chemical Biology Ithaca NY 14853 Cornell University Dept. of Electrical and Computer Engineering Research Experience for Undergraduates (REU) Program Wadsworth Center Empire State Plaza Albany NY 12201

Advances in biotechnology in the past decade have raised the possibility of fabricating biocompatible, porous membranes for molecular sieving and dialysis separations of particles sized 20–50 nm or less. As a prerequisite for such applications, we demonstrate that thin films (∼ 400 nm) of monomeric bovine dermal collagen spin-deposited on a silicon substrate are patternable using standard semiconductor microlithographic processing techniques. Patterning via liftoff has reliably produced square features as small as 10–25 μm laterally, and 50 nm thick, in initial *** (high vacuum electron microscope) images of these collagen membranes have revealed typical pore sizes ranging from 1–100 nm. Through-membrane diffusion of chromophores spanning this size range was quantified via UV/vis spectrometry. These studies revealed that a 400 nm thick collagen membrane crosslinked with 0.02% glutaraldehyde rejected detectable quantities of methyl orange dye (MW 327) for at least 48 hours, while a 100 nm thick layer admitted methyl orange in under 30 minutes. DNA has been demonstrated to pass through a 100 nm thick collagen layer more slowly than through a bare through-etched control wafer.

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Dental Imaging Using a Higher Signal-to-Noise Ratio Optical Coherence Tomography System

Dental Imaging Using a Higher Signal-to-Noise Ratio Optical ...

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Electrical, computer and Energy Technologies (ICECET), International Conference on

作者： Akeem. A. Azeez Biniyam Mezgebo Rodrigo França Sherif S. Sherif Biomedical Engineering Graduate Program University of Manitoba Winnipeg Canada Dept. of Electrical andComputer Engineering University of Manitoba Winnipeg Canada Dept. of Restorative Dentistry University of Manitoba Winnipeg Canada Dept. of Electrical and Computer Engineering University of Manitoba Winnipeg Canada

This paper presents an optical coherence tomography (OCT) system in conjunction with a novel image reconstruction technique employed for in vitro imaging of human teeth. The primary goal is to enhance the signal-to-noise ratio (SNR) in the obtained images. The study entails a comparative analysis between the conventional Fast Fourier Transform (FFT) OCT image reconstruction method and a newly introduced scaled nonuniform discrete Fourier transform (NDFT) approach. The findings reveal that the NDFT method consistently delivers superior results in terms of peak signal-to-noise ratio (PSNR) and overall image quality, even when dealing with redundant and nonuniform frequency domain samples. In light of these results, this paper concludes that integrating NDFT into OCT procedures has the potential to significantly enhance the quality of image reconstructions, thereby fostering its broader application in the field of dental imaging.

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Extrinsic LiDAR-Robot And LiDAR-Camera Calibration For Multi-sensor Fusion*

Extrinsic LiDAR-Robot And LiDAR-Camera Calibration For Multi...

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IEEE Latin American Robotics Symposium, LARS

作者： Gilmar Pereira Da Cruz Hector Azpúrua Fernando Lizarralde Gustavo Medeiros Freitas Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais - Av. Antônio Carlos 6627 Belo Horizonte MG Brazil Department of Computer Science Universidade Federal de Minas Gerais MG Brasil Electrical Engineering Program - COPPE Universidade Federal do Rio de Janeiro RJ Brasil

ISBN: (数字)9798331508807

ISBN: (纸本)9798331508814

In mobile robotics, an essential requirement for the fusion of different sensors is that measurements are expressed with respect to the same reference. In this sense, the transformation between sensors and robot is necessary to ensure better sensor fusion. Therefore, this article proposes an extrinsic sensor calibration based on markers and associated to three orthogonal planes. This technique is applied to two calibration approaches, LiDAR-Robot and LiDAR-Camera. The first one calculates the transformation between a 3D LiDAR sensor and a robot, and the second system calculates the transformation between a 3D LiDAR and an embedded RGB camera. To demonstrate the efficiency of our method, we performed simulations on the CoppeliaSim simulator and experiments in the laboratory. Then, the results show that it is possible to calibrate the sensors with the methodologies.

关键词： Visualization Laser radar Three-dimensional displays Robot vision systems Sensor fusion Cameras Sensor systems Sensors Calibration Registers

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Stochastic unit commitment in a distribution system with photovoltaic power: Empirical assessment

Stochastic unit commitment in a distribution system with pho...

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International Conference on Environment and Electrical engineering (EEEIC)

作者： Thaís F. Araújo Wadaed Uturbey Luis G. Monteiro Le Xie Graduate Program in Electrical Engineering Federal University of Minas Gerais Belo Horizonte MG Brazil Electrical Engineering Department Federal University of Minas Gerais Belo Horizonte MG Brazil Department of Electrical and Computer Engineering Texas A&M University College Station Texas

ISBN: (纸本)9781479979943

This paper proposes an economic dispatch strategy to accommodate photovoltaic (PV) generation, using the solar radiation historical data. The stochastic scenario based economic dispatch approach is formulated in the context of a power system with photovoltaic generators. The stochastic nature of PV power is represented through scenarios. The strategy proposed addresses the improvement of system ability to maintain the power balance while minimizing the management costs of power system. The benefits of this approach are illustrated using a modified version of the IEEE 30-bus test system. The results obtained show that the proposed model is appropriated to accommodate the estimation error of PV generation, while providing economic benefits.

关键词： Generators Stochastic processes Production Solar radiation Power systems Predictive models Economics

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An Observation Data Driven Simulation and Analysis Framework for Early Stage <i>C. elegans</i>Embryogenesis

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Journal of Biomedical Science and engineering 2018年第8期11卷 225-234页

作者： Dali Wang Zi Wang Xiaopeng Zhao Yichi Xu Zhirong Bao Department of Electric Engineering and Computer Science University of Tennessee Knoxville USA Environmental Science Division Oak Ridge National Laboratory Oak Ridge USA Department of Mechanical Aerospace and Biomedical Engineering University of Tennessee Knoxville USA Developmental Biology Program Memorial Sloan Kettering Cancer Center NYC USA

Recent developments in cutting-edge live microscopy and image analysis provide a unique opportunity to systematically investigate individual cell’s dynamics as well as simulation-based hypothesis testing. After a summary of data generation and analysis in the observation and modeling efforts related to C. elegans embryogenesis, we develop a systematic approach to model the basic behaviors of individual cells. Next, we present our ideas to model cell fate, division, and movement using 3D time-lapse images within an agent-based modeling framework. Then, we summarize preliminary result and discuss efforts in cell fate, division, and movement modeling. Finally, we discuss the ongoing efforts and future directions for C. elegans embryo modeling, including an inferred developmental landscape for cell fate, a quasi-equilibrium model for cell division, and multi-agent, deep reinforcement learning for cell movement.

关键词： C. elegans Embryogenesis Agent-Based Modeling Deep Reinforcement Learning Observation-Driven Modeling Framework 3D Live Images

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