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7th International Conference on Instrumentation, Control, and Automation, ICA 2021

作者： Bandong, Steven Nazaruddin, Yul Yunazwin Joelianto, Endra Institut Teknologi Bandung Engineering Physics Doctoral Program Faculty of Industrial Technology Bandung Indonesia National Center for Sustainable Transportation Technology CRCS Instrumentation and Control Research Group Department of Engineering Physics Bandung Indonesia University Center of Excellence on Artificial Intelligence for Vision NLP and Big Data Analytics Institut Teknologi Bandung Instrumentation and Control Research Group Department of Engineering Physics Bandung Indonesia

ISBN: (纸本)9781665432955

The increase in free trade will also amplify the exchange of goods between countries and islands, especially in the seaports. The manual operation of the gantry-crane at the seaports has a risk due to human negligence. For that reason, automation is strongly needed in the loading and unloading of the container. Camera-based object detection is implemented to achieve this goal. In the recent years, CNN gives better accuracy in term of image classification, recognition and detection compared to the traditional method that use handcrafted features. In this paper, several advanced detection methods using CNN-based object detection, namely MobileNet, ResNet, and Faster RCNN are compared to detect and track the movement of containers. The results of the experiment show that the SSD ResNet and Faster RCNN methods are superior in terms of detection accuracy based on the Precision, Recall, Average Precision, and IoU values. MobileNet v3 excels in speed detection compared to the other methods. © 2021 IEEE.

关键词： Containers

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A review of noncatalytic and catalytic pyrolysis and co-pyrolysis products from lignocellulosic and algal biomass using Py-GC/MS

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Journal of Industrial and engineering Chemistry 2024年 134卷 51-64页

作者： Chen, Wei-Hsin Ho, Kuan-Yu Aniza, Ria Sharma, Amit Kumar Saravanakumar, Ayyadurai Hoang, Anh Tuan Department of Aeronautics and Astronautics National Cheng Kung University Tainan701 Taiwan Research Center for Smart Sustainable Circular Economy Tunghai University Taichung407 Taiwan Department of Mechanical Engineering National Chin-Yi University of Technology Taichung411 Taiwan International Doctoral Degree Program on Energy Engineering National Cheng Kung University Tainan701 Taiwan Uttarakhand Dehradun248007 India Directorate of Research SRM Institute of Science and Technology Kattankulathur - 603203 Chengalpattu District Tamil Nadu India Faculty of Automotive Engineering Dong A University Danang Viet Nam

Biomass pyrolysis has garnered significant attention as a sustainable energy production method utilizing various biomass feedstocks. Pyrolysate is any product generated from the pyrolysis process, including solid, liquid, and gas types. This review focuses on the application of analytical pyrolysis–gas chromatography/mass spectrometry (Py-GC/MS) in the context of four pyrolysis modes: single feedstock pyrolysis, co-pyrolysis, catalytic pyrolysis, and catalytic co-pyrolysis to gain insights into the characteristics of the pyrolysates. A comprehensive understanding of each pyrolysis mode's unique products, benefits, and limitations is achieved by analyzing the pyrolysates of different feedstocks, including lignocellulosic and algal biomass. Moreover, this study discusses the integration of Py-GC/MS with techniques such as density function theory (DFT), which focuses on estimating the reactions’ activation energies or kinetic studies concentrating on the reaction rate and mechanism to gain further insight into pyrolysis mechanisms. Lastly, design of experiment (DoE) techniques are proposed for pyrolysis optimization to obtain a more comprehensive assessment of the parameter's influence on pyrolysis factors and levels. © 2024 The Author(s)

关键词： Pyrolysis

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Thermoelectric Properties of Misfit Layered Bismuth-Based Rhodium Oxides, (Bi,Pb)2Sr2Rh2Oy

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Journal of Materials Science and Chemical engineering 2018年第7期6卷 97-103页

作者： Takuya Watanabe Hiroshi Irie Special Doctoral Program for Green Energy Conversion Science and Technology Interdisciplinary Graduate School of Medicine and Engineering University of Yamanashi Yamanashi Japan Clean Energy Research Center University of Yamanashi Yamanashi Japan

Rhodium oxides, including a misfitlayered structure with alternate stacking of a rock salttype layer and a hexagonal RhO2 layer, are expected to have good thermoelectric properties. Among them, the thermoelectric properties (electrical conductivity (σ), Seebeck coefficient (S), Figure of merit (ZT) and calculated thermal conductivity (κ) by S, σ, ZT, and absolute temperature (T)) of bismuth-based rhodium oxides ((Bi1-x,Pbx) 2Sr2Rh2Oy, x = 0 and 0.02, hereafter BSR and BPSR, respectively) were investigated. In comparison with Bi2Sr2Co2Oy (BSC) at 700°C, S and κ enhanced (increased S, 110 (BSR) and 105 μV K-1 (BPSR) from 85 μV K-1 (BSC) and decreased κ, 0.32 (BSR) and 0.50 W m-1 K-1 (BPSR) from 1.75 W m-1 K-1 (BSC)), whereas σ decreased (15 (BSR) and 31 S cm-1 (BPSR) from 70 S cm-1 (BSC)). BPSR reached the highest ZT value of 0.067 at 700°C, compared to those of 0.056 (BSR) and 0.027 (BSC).

关键词： Electroceramics Layered Rhodium Oxide Misfit Layer Structure Thermoe-lectric Material Harman Method

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Application of Digital Gamification Systems in Intelligent Automated Learning 10th

Application of Digital Gamification Systems in Intelligent A...

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10th International Conference on Kansei engineering and Emotion Research, KEER 2024

作者： Lee, Chein-Hui Saputri, Evelyn Chiu, Min-Chi Department of Information Technology Ling Tung University Taichung Taiwan Doctoral Program of Intelligent Engineering National Taichung University of Science and Technology Taichung Taiwan Department of Intelligent Manufacturing Technology Ling Tung University Taichung Taiwan Department of Multimedia Design National Taichung University of Science and Technology Taichung Taiwan

ISBN: (纸本)9789819798896

This study aims to develop an innovative digital game-based teaching platform designed to facilitate students’ learning of intelligent automation-related knowledge through immersive game scenarios. This method offers significant advantages, including the provision of an engaging and challenging learning environment that encourages active student participation while fostering critical thinking and problem-solving skills. Students can apply the knowledge they acquire in practical game contexts, thereby enhancing their learning outcomes, aligning with the contemporary educational demand for diversified teaching approaches. Furthermore, this pedagogical strategy effectively stimulates students’ motivation to learn by engaging them in problem-solving and task completion activities, consequently improving their learning efficiency. More importantly, it emphasizes not just the transmission of knowledge but also the cultivation of students’ cognitive abilities and problem-solving skills, which are crucial for their future academic and professional development. By integrating educational content with interactive game elements, the platform can adapt to various learning paces and styles, making education more personalized and accessible. Overall, this study aims to provide students with a highly engaging and efficient learning method that meets the modern educational requirements for innovative teaching models, thereby significantly improving students’ learning outcomes and addressing their educational needs. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Contrastive Learning

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Enhancement of Oxygen Evolution Activity of Ruddlesden-Popper-Type Strontium Ferrite by Stabilizing Fe4+

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Journal of Materials Science and Chemical engineering 2017年第4期5卷 45-55页

作者： Toshihiro Takashima Koki Ishikawa Hiroshi Irie Clean Energy Research Center University of Yamanashi Yamanashi Japan Special Doctoral Program for Green Energy Conversion Science and Technology Interdisciplinary Graduate School of Medicine and Engineering University of Yamanashi Yamanashi Japan

Development of active iron based water oxidation for designing an ideal artificial photosynthesis devices operating under benign neutral pH is highly demanded. We investigated the electrocatalytic activity of Ruddlesden-Pop-per-type strontium ferrite (Sr3Fe2O7) toward the oxygen evolution reaction (OER). Owing to the temperature-dependent efficiency of the charge disproportionation of Fe4+, the OER activity of Sr3Fe2O7 varied with the temperature, and the onset potential for the OER at a neutral pH underwent a negative shift of approximately 200 mV by increasing the temperature for the stabilization of Fe4+. When metal substitution was made to Sr3Fe2O7 for stabilizing Fe4+ at room temperature, the temperature dependence of the OER activity disappeared and the OER was driven at a small overpotential without increasing the temperature, indicating that the stabilization of Fe4+ is substantially important for achieving high OER activity.

关键词： Oxygen Evolution Charge Disproportionation Water-Splitting Sr3Fe2O7

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Enhanced Visible-Light-Sensitive Two-Step Overall Water-Splitting Based on Band Structure Controls of Titanium Dioxide and Strontium Titanate

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Journal of Materials Science and Chemical engineering 2017年第1期5卷 129-141页

作者： Satoshi Tanigawa Toshihiro Takashima Hiroshi Irie Special Doctoral Program for Green Energy Conversion Science and Technology Interdisciplinary Graduate School of Medicine and Engineering University of Yamanashi Yamanashi Japan Clean Energy Research Center University of Yamanashi Yamanashi Japan

Visible light-induced two-step overall water-splitting was achieved by combining two types of photocatalysts, which were prepared by introducing foreign elements into rutile titanium dioxide (TiO2) and strontium titanate (SrTiO3) with a controlled electronic band structure. Rutile TiO2 and SrTiO3 were doped with chromium and tantalum (Cr,Ta-TiO2) and with rhodium (Rh-SrTiO3), respectively, to introduce visible-light sensitivity. Under irradiation with only visible light from a 420-nm LED lamp, the simultaneous liberation of hydrogen and oxygen with a molar ratio of ~2:1 was achieved with these two types of photocatalysts in the presence of iodate ion/iodide ion as a redox mediator.

关键词： Titanium Dioxide Strontium Titanate Visible Light Overall Water-Splitting Two-Step Excitation

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The Analysis of Ecological Footprint at Farming Production Centre Cluster of MIFEE program in Merauke Papua 4

The Analysis of Ecological Footprint at Farming Production C...

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4th International Conference on Energy, Environment, Epidemiology and Information System, ICENIS 2019

作者： Djaja, Irba Purwanto, P. Sunoko, H.R. Muslihudin, Muslihudin Agrotechnology Faculty University of Musamus Merauke Indonesia Doctoral Program of Environmental Science School of Postgraduate Studies Diponegoro University Semarang Indonesia Department of Chemical Engineering Faculty of Engineering Diponegoro University Semarang Indonesia Department of Pharmacy Faculty of Medical Diponegoro University Semarang Indonesia Sociology Department Faculty of Social and Political Sciences Jenderal Soedirman University Purwokerto Indonesia

The heading Ecological footprint is one of the methods developed to respond sustainable development issue expected to measure the availability and usage of natural resources affecting the ecology of environment. The purpose of this study is to count the value of ecological footprint at Farming Production Centre Merauke through the supply and demand approach based on GFN (Global Footprint Network) and count the capacity of environment. The method used was Global Footprint Network, and counting capacity method. The results of ecological footprint counting was 29.9536 gha/inhabitant and the value of bio-capacity (supply) was gha/inhabitant, so the ecology (environmental support) value was 1,1936gha/inhabitant. The results show that the Farming Production Centre is categorized into ecological surplus and the capacity is 36,8964inhabitants/ha. The value shows that the environment and ecosystem condition in the development area of Farming Production Centre in Merauke, Merauke Integrated Food and Energy Estate, is able to accommodate the needs and support the people living in the area (ecological debt). © The Authors, published by EDP Sciences, 2019.

关键词： Ecology

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Studies on the Germinated Brown Rice for Cooking Foods - Homogeneous Sprouting Control in the Liquid Culture -

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IFAC Proceedings Volumes 1998年第9期31卷 31-35页

作者： Keitaro Suzuki Takaaki Maekawa Doctoral Program in Agric. Sciences University of Tsukuba Tsukuba 305-8572 Japan Inst. of Agric. & Forest Engineering University of Tsukuba Tsukuba 305-8572 Japan

Germination environments for controlling the root emergence of germinated brown rice(GBR) were examined. The bench-scale cultures of 2 types for GBR production, including high dissolved oxygen (H-DO) operation and intermediate dissolved oxygen (HL-DO) operation were operated. Growth viability was good, and germination ratios were more than 90% for all the tests. Homogeneous sprouting control was successful. The forms of GBR were found uniformity. However, for H-DO operation, root emergence and elongation were observed. Rooting ratios in HL-DO operation were affected by the level of liquid recirculation and the ratio of the volume of rice and liquid.

关键词： dissolved oxygen sprouting control switching time on-off circulation

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Seafloor Imaging Maps by Incorporating Side Scan Sonar Technology on Hybrid Autonomous Underwater Glider

Seafloor Imaging Maps by Incorporating Side Scan Sonar Techn...

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International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)

作者： Ardian Budi Kusuma Atmaja Egi Muhammad Idris Hidayat Bambang Riyanto Trilaksono Simon Siregar Natsir Habibullah School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia Department Computer Engineering Faculty of Applied Science Doctoral Program of Electrical Engineering Institut Teknologi Bandung Telkom University

This research aims to construct a two-dimensional image to represent an underwater geometry map with a Side Scan Sonar (SSS) mounted on a Hybrid Autonomous Underwater Glider (HAUG). Building the underwater map has two stages of the process. The first stage is preprocessing which includes Time-varying gains (TVG), slant range correction, and ground range correction. The second is HAUG navigation, the movement of HAUG orientation to the angle and distance of SSS readings and plotting the geometry of the grid map. With these two stages, a two-dimensional grid map will be formed. Meanwhile, the 3D plot utilizes slant range and ground range correction to obtain the surface height of the bottom of the pool. From the experiments conducted to conduct mapping in the pool, two-dimensional and three-dimensional visual forms of the pool floor and pool walls were produced. The results of the estimated measurement of the width of the pool obtained 14.05 meters and the height of the pool 3.199 meters with an SSS beam angle of 58 degrees.

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Performance Evaluation of Deep Feature in Cross Spectral Face Recognition

Performance Evaluation of Deep Feature in Cross Spectral Fac...

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International Conference on Information Technology, Computer and Electrical engineering (ICITACEE)

作者： Ernita Dewi Meutia Fitri Arnia Nasaruddin Rusdha Muharar Maulisa Oktiana Khairun Saddami Department of Electrical and Computer Engineering Doctoral Program School of Engineering Universitas Syiah Kuala Banda Aceh Indonesia Department of Electrical and Computer Engineering Universitas Syiah Kuala Banda Aceh Indonesia

ISBN: (数字)9798350389302

ISBN: (纸本)9798350389319

Cross-spectral face recognition (CSFR), particularly in the Near Infra-Red (NIR) and visual (VIS) spectrum, presents challenges due to differences in illumination and sensor characteristics. NIR sensors are commonly used in practical applications, such as in nighttime outdoor surveillance systems, due to their ability to capture images in low light conditions and at various standoff distances. This study proposes a simple CSFR method that combines deep learning techniques with photometric normalization using Homomorphic Filtering (HF) to identify subjects in NIR images across different standoff distances. Both NIR and VIS images are filtered to mitigate illumination discrepancies. A deep convolutional neural network (CNN) model is employed to automatically extract discriminative deep features from the normalized images of both spectrums. Four deep CNN models of ResNet-50, DenseNet, EfficientNet, and MobileNetV2 are tested. The performance of the models in feature extraction for CSFR is evaluated on the LDHF (Long Distance Heterogeneous Face) database. The Hamming distance metric is employed to match NIR probe images with VIS gallery images. The experimental findings, expressed in recognition rate RR, demonstrate the effectiveness of the approach in enhancing CSFR accuracy, with MobileNetV2 achieving the highest accuracy of 90% for a short standoff. In addition, HF improves image quality, enhancing the deep learning model's ability to discern image characteristics.

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