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10th International Conference on ICT for Smart Society, ICISS 2019

作者： Zulkarnain, Novan Kosala, Raymond Ranti, Benny Supangkat, Suhono Harso Bina Nusantara University Computer Science Department BINUS Graduate Program Doctor of Computer Science Information Systems Department Jakarta11480 Indonesia Universitas Indonesia Computer Science Department Depok16424 Indonesia Institute of Technology Bandung School of Electrical and Informatics Engineering Bandung40132 Indonesia

ISBN: (纸本)9781728148809

There have been many studies conducted related to Smart City, IT Governance and Big Data. In this study aims to find out how the relationship between the three and how to form a framework to explain it. The methodology used is qualitative by looking for some literature on smart city framework, IT Governance framework, and a Big Data framework. From these results, an overall picture of the relationship between the three is concluded, where Big Data has a role in IT Governance. and also the relationship of IT Governance to the realization of Smart City. And the final results of this study produce a framework to explain the relationship between Smart City, IT Governance and Big Data. © 2019 IEEE.

关键词： Big data

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Numerical electric field analysis of capacitance and potential in space for estimation of permittivity distribution

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IEEJ Transactions on Fundamentals and Materials 2018年第4期138卷 119-126页

作者： Yamanobe, Hiroshi Ohchi, Masashi Master's Program in Electrical Electronics and Computer Engineering Graduate School of Engineering Chiba Institute of Technology 2-17-1 Tsudanuma Narashino275-0016 Japan Department of Electrical and Electronic Engineering Faculty of Engineering Chiba Institute of Technology 2-17-1 Tsudanuma Narashino275-0016 Japan

We have been studying on measuring capacitance and potential using long distance electrode for estimating a permittivity distribution. The estimating method of permittivity distribution was proposed using Finite Element Method (FEM) and Genetic Algorithm (GA). However, the measurement accuracy was not reviewed. In this paper, we carried out numerical analysis using FEM in case of change of diameter, position and permittivity of a rod of dielectric and discussed the measurement accuracy of capacitance and potential. © 2018 The Institute of electrical Engineers of Japan.

关键词： Finite element method

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Author Correction: Generation of accurate, expandable phylogenomic trees with uDance

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Nature biotechnology 2024年第5期42卷 814页

作者： Metin Balaban Yueyu Jiang Qiyun Zhu Daniel McDonald Rob Knight Siavash Mirarab Bioinformatics and Systems Biology Graduate Program University of California San Diego La Jolla CA USA. Department of Electrical and Computer Engineering University of California San Diego La Jolla CA USA. Biodesign Center for Fundamental and Applied Microbiomics Arizona State University Tempe AZ USA. School of Life Sciences Arizona State University Tempe AZ USA. Department of Pediatrics University of California San Diego La Jolla CA USA. Department of Computer Science and Engineering Jacobs School of Engineering University of California San Diego La Jolla CA USA. Department of Bioengineering University of California San Diego La Jolla CA USA. Center for Microbiome Innovation Jacobs School of Engineering University of California San Diego La Jolla CA USA. Department of Electrical and Computer Engineering University of California San Diego La Jolla CA USA. smirarab@ucsd.edu. Department of Computer Science and Engineering Jacobs School of Engineering University of California San Diego La Jolla CA USA. smirarab@ucsd.edu. Center for Microbiome Innovation Jacobs School of Engineering University of California San Diego La Jolla CA USA. smirarab@ucsd.edu.

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Single Speaker Recognition Using Deep Belief Network Gender Classification Voices

Single Speaker Recognition Using Deep Belief Network Gender ...

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International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA)

作者： Murman Dwi Prasetio Shinya Sekizaki Tomohiro Hayashida Agus Susanto Ichiro Nishisaki Muhammad Abdillah Department of Industrial Engineering Telkom University Bandung Indonesia Graduate School of Social Engineering Hiroshima University Hiroshima Japan Graduate School of Engineering Hiroshima University Hiroshima Japan Department of Railway Engineering State Polytechnic of Madiun Madiun Indonesia Department of Electrical Engineering Pertamina University Jakarta Indonesia

ISBN: (数字)9781728130903

ISBN: (纸本)9781728130910

Recently, the algorithm of machine learning are used to able to train, enhance, characterize and anticipate the data results accurately. In a way to training, the process on the algorithm can be able to produce an appropriate model based on that data; it's like supervised and unsupervised data. In this paper, we tried to trace the gender (male and female) from acoustic data, i.e., pitch, median, frequency etc. The gender that would like to implement is classified on the basis of the intensity of their utterances. To analyze the utterances, the voice intensity measuring by the hamming window to make a normalize curve to obtain the peaks of the utterances where peaks are found from each frame of speech utterance when it is divided into frames of the length of 20 milliseconds. At certain amplitude levels it can be considered to find a peak. As well as making decisions about gender use a thresholds that are adapted are adjusted. If the area of an utterance is above the threshold the gender type is a female otherwise male. After that, we handle the feature learning from the utterance into deep belief network as a machine learning tool to predict single speech by gender classification voices with optimization (taboo search) to train several neurons in the initial weight vector for the accuracy of female and male voices 75.67% and 80.83% precisely.

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Design and implementation of the quality of mineral water test equipment using fuzzy logic method based on Internet of Things

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IOP Conference Series: Materials Science and engineering 2021年第4期1098卷

作者： E Kurniawan S Sumaryo F Budiman A Happy B S Aprillia Post Graduate Program of Chemistry Department Faculty of Mathematics and Natural Sciences Padjadjaran University Jalan Raya Bandung-Sumedang Jatinangor Sumedang Indonesia School of Electrical Engineering Telkom University Bandung Indonesia

Water is a chemical compound that is very important for living things on this earth. The function of mineral water for human life cannot be replaced by other compounds. To ensure that it can be used for needs, quality monitoring must be carried out continuously. This study aims at designing mineral water quality test equipment using the fuzzy logic algorithm method that is equipped with a pH sensor, TDS sensor, temperature sensor, LDR sensor, LCD, Wi-Fi module. The simulation results show that an average value of pH sensor of 8.5 - 12, TDS sensor of 300 - 350 ppm, sensor temperature of 22-25oC, and the resistance of the LDR of 110-170 Ohm sensor for daytime while the evenings of 920 - 970 Ohm. The several types of water tested was 5 areas around Bandung and Telkom University Dormitories. The accuracy of this tool reaches of 80%, it can be seen from the calibration results.

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Terahertz Cavity Phonon Polaritons in the Deep-Strong Coupling Regime

Terahertz Cavity Phonon Polaritons in the Deep-Strong Coupli...

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International Conference on Infrared and Millimeter Waves

作者： Andrey Baydin Manukumara Manjappa Sobhan Subhra Mishra Hongjing Xu Jacques Doumani Fuyang Tay Dasom Kim Felix G. G. Hernandez Paulo H. O. Rappl Eduardo Abramof Ranjan Singh Junichiro Kono Department of Electrical and Computer Engineering Rice University Houston TX USA Smalley-Curl Institute Rice University Houston TX USA Department of Instrumentation and Applied Physics Indian Institute of Science Bangalore India Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University Singapore Department of Physics and Astronomy Rice University Houston TX USA Applied Physics Graduate Program Smalley-Curl Institute Rice University Houston TX USA Instituto de Física Universidade de São Paulo São Paulo SP Brazil Laboratório Associado de Sensores e Materiais Instituto Nacional de Pesquisas Espaciais São José dos ampos SP Brazil Center for Disruptive Photonic Technologies The Photonics Institute Nanyang Technological University Singapore Department of Material Science and NanoEngineering Rice University Houston TX USA

We have studied the resonant and nonperturbative coupling of transverse optical phonons in lead telluride with photons in small-mode-volume terahertz cavities, observing a giant vacuum Rabi splitting on the order of the uncoupled phonon and cavity frequencies. Our terahertz time-domain spectroscopy experimental data, systematically collected as a function of sample thickness, temperature, and cavity length, can be well reproduced by our electromagnetic simulations. These results demonstrate that this uniquely tunable platform is promising for realizing and understanding predicted cavity-vacuum-induced ferroelectric instabilities, as well as for exploring applications of light-matter coupling in the ultra-and deep-strong coupling regimes in quantum technology.

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Deep-Strong Coupling between Cavity Photons and Terahertz TO Phonons in PbTe

Deep-Strong Coupling between Cavity Photons and Terahertz TO...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Andrey Baydin Manukumara Manjappa Sobhan Subhra Mishra Hongjing Xu Fuyang Tay Dasom Kim Felix G. G. Hernandez Paulo H. O. Rappl Eduardo Abramof Ranjan Singh Junichiro Kono Department of Electrical and Computer Engineering Rice University Houston Texas USA Smalley-Curl Institute Rice University Houston Texas USA Instrumentation and Applied Physics Department Indian Institute of Science Bangalore India Center for Disruptive Photonic Technologies The Photonics Institute Nanyang Technological University Singapore Department of Physics and Astronomy Rice University Houston Texas USA Applied Physics Graduate Program Smalley-Curl Institute Rice University Houston Texas USA Instituto de Física Universidade de São Paulo São Paulo SP Brazil Laboratório Associado de Sensores e Materiais Instituto Nacional de Pesquisas Espaciais São José dos Campos SP Brazil Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University Singapore Department of Material Science and NanoEngineering Rice University Houston Texas USA

We have investigated the resonant coupling of photons with TO phonons in lead telluride in small-mode-volume terahertz cavities, observing a giant vacuum Rabi splitting on the order of the bare cavity–phonon frequency.

ISBN: (纸本)9781957171258

关键词： Electric fields Numerical simulation Optical constants Photons Physical vapor deposition Terahertz spectroscopy

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Transferable individual brain regional atrophy progression prediction model using structural connectome

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Alzheimer's & Dementia 2023年第S14期19卷

作者： Yu Xiao Joanna Su Xian Chong Bing Cai Kok Kwun Kei Ng Christopher Li-Hsian Chen Juan Helen Zhou Quantitative Biology and Medicine Program Duke-NUS Medical School Singapore Singapore Centre for Sleep and Cognition & Centre for Translational Magnetic Resonance Research Yong Loo Lin School of Medicine National University of Singapore Singapore Singapore Correspondece Department of Pharmacology Clinical Research Centre National University Health System National University of Singapore Singapore Singapore Memory Ageing and Cognition Centre National University Health System Singapore Singapore Electrical and Computer Engineering National University of Singapore Singapore Singapore Integrative Sciences and Engineering Programme (ISEP) NUS Graduate School National University of Singapore Singapore Singapore

Background Brain microstructure, as measured by diffusion MR imaging (dMRI), is an early biomarker of Alzheimer’s disease (AD) and has been previously demonstrated to predict whole brain atrophy and cognition. The network-based neurodegeneration hypothesis posits that the onset of AD occurs within key vulnerable regions, whose network connectivity guides the spread of atrophy into new regions. Graph convolutional network (GCN) models can mimic this spread through its convolution process. Here we present a GCN-based model to predict future individual nodal atrophy and disease progression across the AD spectrum using structural connectome. Method We analyzed 371 participants with baseline dMRI scans (154 cognitively normal (CN), 161 mild cognitive impairment (MCI), 56 AD) and longitudinal T1 scans (2.7±1.2 years) from the ADNI study. To predict annual nodal atrophy rates (126 nodes) from baseline structural connectivity (SC), we constructed a two-layer GCN followed by multilayer perceptron (GCN-MLP). Five-fold nested cross-validation and Optuna were used for hyperparameter tuning. We applied the trained GCN-MLP model to predict future disease progression via transfer learning. GNNExplainer was used to identify the predictive SC features for atrophy or cognition. The GCN-MLP model was validated in another independent dataset from Singapore (MACC) with 226 participants (61 CN, 112 MCI, 53 AD, follow-up period of T1 scans (3.1±1.3 years)) using transfer learning. Result The proposed GCN-MLP model predicted the annual rate of regional atrophy at the individual level in the main (R = 0.5407±0.0480; MAE = 0.0013±0.0001; EV = 0.2930±0.0516) and validation (R = 0.5323±0.0564; MAE = 0.0009±0.0001; EV = 0.2808±0.0559) datasets (Table 1; Figure 1). Graph edge SC of the target network contributed most to the atrophy prediction of its own network (Figure 2A&C). Nodal feature SC in hippocampus, striatum, and temporal network were major predictors of atrophy progression across all 1

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Advanced machining of miniature unmanned aircraft vehicle components using nanostructured cutting tools

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Journal of Micromanufacturing 2020年第2期4卷 106 - 117页

作者： M. J. Jackson J. Burgess Michael Whitfield M. Whitt R. B. DaSilva M. B. DaSilva A. R. Machado R. Davis School of Interdisciplinary Studies College of Technology and Aviation Kansas State University Manhattan KS USA Center for Advanced Manufacturing Purdue University West Lafayette IN USA College of Engineering California State Polytechnic University San Luis-Obispo CA USA School of Mechanical Engineering Federal University of Uberlandia Av. João Naves de Ávila Uberlandia MG Brazil School of Mechanical Engineering Federal University of Uberlandia Av. João Naves de Ávila Uberlandia MG BrazilMechanical Engineering Graduate Program Pontifícia Universidade Católica do Paraná—PUC-PR Curitiba/PR Brazil Department of Mechanical Engineering National Institute of Technology Patna Patna Bihar India

The advanced machining of components used in miniature unmanned aircraft vehicles is the focus of this study. The finite element method (FEM) is used to predict forces and temperatures using cutting tool inserts with a thin nanostructured film of high integrity. Similarity models are used to validate the finite element results and to understand the influence of micromachining parameters on cutting temperatures generated when machining Al 380-0 alloy. The predicted results are compared to experimental forces and temperatures using a three-dimensional piezoelectric function dynamometer and a short-range infra-red wavelength thermal camera. Nanostructured thin layer coatings lower machining forces and temperatures, which are validated through FEM predictions and experimental observations. The experimental results suggest that increasing the cutting tool’s rake angle at higher depths of cut will reduce cutting temperatures, which are predicted using the similarity models for micromachining.

关键词： Unmanned aircraft machining advanced manufacturing aluminum alloys

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Development and validation of learning media on combustion engine

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Journal of Physics: Conference Series 2021年第1期1833卷

作者： M R Badu Widarto H B Uno R D R Dako H Uloli Graduate Program of Mechanical Engineering Education Universitas Negeri Yogyakarta Indonesia Mechanical Engineering Education Graduate School Universitas Negeri Yogyakarta Indonesia Teknologi Pendidikan State University of Gorontalo Indonesia Department of Electrical Engineering State University of Gorontalo Indonesia Pendidikan Teknik Mesin Fakultas Teknik Universitas Negeri Gorontalo Indonesia

The research aims to develop learning media on fuel motor lesson concerning the aspects of media, material and media design. It is conducted in mechanical engineering education study program of State University of Gorontalo with the method and development of ADDIE model adopted from Lee and Owens. The research stage consists of analysis, design, development and implementation and evaluation. The development of learning media is carried out only to the stage of development and implementation. It shows that the product of interactive multimedia-based learning media on fuel motor lesson is feasible to be applied, it is based on the expert validation with the percentage of 85% (media design expert), 75% (media expert), and 87% (material expert). The average of all aspects achieved is 82.333% (very feasible)

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