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Energy and Sustainable Development

作者： Chayanan Thanthong Napassawan Wongmongkol Chatchawan Chaichana Suwimon Wicharuck Department of Mechanical Engineering Graduate master's degree Program in Energy Engineering Faculty of Engineering Chiang Mai University Chiang Mai Thailand Department of Mechanical Engineering Faculty of Engineering Chiang Mai University Chiang Mai Thailand Energy Technology for Environment Research Center Faculty of Engineering Chiang Mai University Chiang Mai Thailand

ISBN: (数字)9798331517076

ISBN: (纸本)9798331517083

Strawberry production is an important crop in the northern region of Thailand that is only available in winter. Theoretically, strawberries can be grown in plant factories that can control the climate conditions strawberries need. Generally, the cooling load from lighting accounts for almost 80% of the total heat load in the plant factory. To reduce the cost of using light energy and the heat load in plant factories, this study was conducted on cultivation methods in semi-closed greenhouses that utilize natural light during the day. Coolness is generated by solar energy during the day and stored in cooling energy storage that stored coolness is used during the night. The total cooling load for year-round strawberry cultivation in the greenhouse was about 814 GJ, consisting of the stages of strawberry floral initiation, flowering, and fruiting at 17%, 17%, and 66%, respectively. In addition, the payback period is around 14.16 - 16.29 years.

关键词： Heating systems Costs Water storage Cooling Net zero Greenhouses Solar energy Flowering plants Machinery Meteorology

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Development of LED Lighting for Microalgae Propagation with Emission Spectrum Having Broader Emission Peaks

Development of LED Lighting for Microalgae Propagation with ...

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Sustainable Smart Lighting World Conference & Expo (LS18), IEEE

作者： Nobuaki Hosoda Takashi Murata Takayuki Misu Graduate School of Engineering Master's Degree Program in Electrical and Electronic Engineering Kanagawa Institute of Technology Atsugi Kanagawa Japan Department of Applied Chemistry and Bioscience Faculty of Engineering Kanagawa Institute of Technology Atsugi Kanagawa Japan Department of Electrical and Electronic Engineering Faculty of Engineering Kanagawa Institute of Technology Atsugi Kanagawa Japan

ISBN: (数字)9798331540197

ISBN: (纸本)9798331540203

In this study, we aimed to develop LED lighting with an emission spectrum effective for microalgae propagation, and fabricated LED lighting with Phosphor layer RGB, which has peaks in the red, green, and blue wavelength bands, and Phosphor layer RG’B’, which has broader peaks in the red, green, and blue wavelength bands. In order to examine the effect of microalgae propagation, Closterium ehrenbergii samples prepared at different dilution rates were irradiated with LED illumination light of Phosphor layer RG’B’ and Phosphor layer RGB, respectively, for 7 days, and their propagation rates were compared. The results of the experiment showed that Phosphor layer RG’B’ produced a higher propagation rate than Phosphor layer RGB.

关键词： Phosphors Lighting Light emitting diodes

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Verification of the Inactivation Effect of Near-UV LEDs using a Pulsed Lighting System on Staphylococcus aureus

Verification of the Inactivation Effect of Near-UV LEDs usin...

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Sustainable Smart Lighting World Conference & Expo (LS18), IEEE

作者： Hiroki Nomura Seiji Kihara Akinori Zukeran Jun Sawai Takayuki Misu Graduate School of Engineering Master's Degree Program in Electrical and Electronic Engineering Kanagawa Institute of Technology Atsugi Kanagawa Japan Department of Electrical and Electronic Engineering Faculty of Engineering Kanagawa Institute of Technology Atsugi Kanagawa Japan Department of Nutrition and Life Science Faculty of Health and Medical Sciences Kanagawa Institute of Technology Atsugi Kanagawa Japan

ISBN: (数字)9798331540197

ISBN: (纸本)9798331540203

The purpose of this study is to investigate the disinfection effect of Near-UV LED light, which is pulsed using PWM control, on Staphylococcus aureus. To evaluate the disinfection effect of Near-UV LED light, three types of Near-UV LEDs with wavelengths of 395 nm, 385 nm, and 365 nm were installed within a sealed space inside an incubator and energized with a forward current of 1000 mA and a forward voltage of 3.6 V, and the disinfection rate under each type of light was assessed. Additionally, the disinfection effect was evaluated when the same three types of Near-UV LEDs were pulsed with a 50% duty cycle. As a result, 100% disinfection was achieved with 365 nm Near-UV LED direct-current irradiation for 120 seconds, and a 93% disinfection rate was obtained with pulsed irradiation for 150 seconds.

关键词： Radiation effects Power demand Lighting Pulse width modulation Aerospace electronics Light emitting diodes

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Variable-Speed Teaching-Playback as Real-World Data Augmentation for Imitation Learning

arXiv

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arXiv 2024年

作者： Masuya, Nozomu Sato, Hiroshi Yamane, Koki Kusume, Takuya Sakaino, Sho Tsuji, Toshiaki Master's Program in Intelligent and Mechanical Interaction Systems Degree Programs in Systems and Information and Engineering Graduate School of Science and Technology University of Tsukuba Japan Doctoral Program in Intelligent and Mechanical Interaction Systems Degree Programs in Systems and Information and Engineering Graduate School of Science and Technology University of Tsukuba Japan Department of Intelligent Interaction Technologies Institute of Systems and Information Engineering University of Tsukuba Japan Graduate School of Science and Engineering Saitama University Saitama Japan

Because imitation learning relies on human demonstrations in hard-to-simulate settings, the inclusion of force control in this method has resulted in a shortage of training data, even with a simple change in speed. Although the field of data augmentation has addressed the lack of data, conventional methods of data augmentation for robot manipulation are limited to simulation-based methods or downsampling for position control. This paper proposes a novel method of data augmentation that is applicable to force control and preserves the advantages of real-world datasets. We applied teaching-playback at variable speeds as real-world data augmentation to increase both the quantity and quality of environmental reactions at variable speeds. An experiment was conducted on bilateral control-based imitation learning using a method of imitation learning equipped with position-force control. We evaluated the effect of real-world data augmentation on two tasks, pick-and-place and wiping, at variable speeds, each from two human demonstrations at fixed speed. The results showed a maximum 55% increase in success rate from a simple change in speed of real-world reactions and improved accuracy along the duration/frequency command by gathering environmental reactions at variable speeds. Copyright © 2024, The Authors. All rights reserved.

关键词： Demonstrations

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Recover energy and materials from agricultural waste via thermalchemical conversion (vol 5, pg 1200, 2022)

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ONE EARTH 2022年第12期5卷 1404-1404页

作者： Lee, Kuan-Tieng Chen, Wei-Hsin Sarles, Paul Park, Young-Kwon Ok, Yong Sik Department of Aeronautics and Astronautics National Cheng Kung University Tainan 701 Taiwan Research Center for Smart Sustainable Circular Economy Tunghai University Taichung 407 Taiwan Department of Mechanical Engineering National Chin-Yi University of Technology Taichung 411 Taiwan International Master Degree Program on Energy National Cheng Kung University Tainan 701 Taiwan School of Environmental Engineering University of Seoul Seoul 02504 Republic of Korea Korea Biochar Research Center APRU Sustainable Waste Management Program & Division of Environmental Science and Ecological Engineering Korea University Seoul Republic of Korea

Every year, at least 1,300 million tons of agricultural waste is produced, and the amount is likely to expand further in a world with a growing population to feed. Our current linear approach to handling this vast amount of waste via landfills and incineration has already contributed to about 3% of global greenhouse gas emissions and also created various toxic pollutants. There is an urgent need to sustainably manage agricultural waste that can benefit both the environment and humans. Thermochemical conversion emerges as a promising technology that can convert agricultural waste into a variety of valuable products, creating circularity opportunities. In this primer, we explain the thermochemical conversion of agricultural waste by illustrating four mainstreaming processes. We further discuss the potential tradeoffs of these processes in terms of their environmental externalities and reflect upon the potential toward a circular and net-zero future.

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Optimal plant growth through thermo mechatronic analysis 26

Optimal plant growth through thermo mechatronic analysis

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26th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2022

作者： Calderón, J. Alan Tafur, Julio Barriga, Benjamín Alencastre, Jorge Solano, Gonzalo Urbizagástegui, Rodrigo Lozano, John Chancán, Marvin Applied Nanophysics Institute for Physics Technical University of Ilmenau Ilmenau98693 Germany Engineering Department Mechatronic Master Program Pontificia Universidad Católica del Peru Lima15088 Peru Federal University Arkhangelsk163002 Russia Electrical Engineering and Robotics School Queensland University of Technology St LuciaQLD4072 Australia

ISBN: (纸本)9781950492640

This work is described as a proposal to apply modern control techniques and automation tools for optimal plant growth, also it was based on key agricultural strategies that were developed by ancient civilizations such as the Inca Empire. Many of them ancient techniques including the Inca engineering of andenes were forgotten or set aside through time. In this research, however, some of these key techniques are revisited to analyze and evaluate optimal plant growth using sensors and actuators that were not available in ancient civilizations. In addition, predictive and adaptive mathematical models are used for plant growth analysis of thermodynamic parameters such as temperature, humidity and potential of Hydrogen (pH). Furthermore, there were compared performances of sensors (electromechanical sensors) with designed sensors that were based in nanostructures, because of better study of the plant growth techniques. Copyright 2022. © by the International Institute of Informatics and Systemics. All rights reserved.

关键词： Nanostructures

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Implementation of Remote Sensing and GIS Techniques to Study the Flash Flood Risk at NEOM Mega-City, Saudi Arabia

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Advances in Remote Sensing 2022年第4期11卷 121-157页

作者： Ahmed A. Abdulalim Tarek A. El Damaty Surveying Master’s Degree Program Civil Engineering Department Faculty of Engineering and Islamic Architecture Umm Al-Qura University Makkah Saudi Arabia Civil Engineering Department Faculty of Engineering and Islamic Architecture Umm Al-Qura University Makkah Saudi Arabia

Southern Red Sea flooding is common. Assessing flood-prone development risks helps decrease life and property threats. It tries to improve flood awareness and advocate property owner steps to lessen risk. DEMs and topography data were analyzed by RS and GIS. Fifth-through seventh-order rivers were studied. Morphometric analysis assessed the area’s flash flood danger. NEOM has 14 catchments. We determined each catchment’s area, perimeter, maximum length, total stream length, minimum and maximum elevations. It also uses remote sensing. It classifies Landsat 8 photos for land use and cover maps. Image categorization involves high-quality Landsat satellite images and secondary data, plus user experience and knowledge. This study used the wetness index, elevation, slope, stream power index, topographic roughness index, normalized difference vegetation index, sediment transport index, stream order, flow accumulation, and geological formation. Analytic hierarchy considered all earlier criteria (AHP). The geometric consistency index GCI (0.15) and the consistency ratio CR (4.3%) are calculated. The study showed five degrees of flooding risk for Wadi Zawhi and four for Wadi Surr, from very high to very low. 9.16% of Wadi Surr is vulnerable to very high flooding, 50% to high flooding, 40% to low flooding, and 0.3% to very low flooding. Wadi Zawhi’s flood risk is 0.23% high, moderate, low, or extremely low. They’re in Wadi Surr and Wadi Zawhi. Flood mapping helps prepare for emergencies. Flood-prone areas should prioritize resilience.

关键词： Geographic Information System (GIS) Remote Sensing Flash Floods Hazard Assessment Analytic Hierarchy Process (AHP) Morphometric Analysis Hydrology Analysis

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Insect Classification Using Spatial Pyramid Pooling and Convolution Neural Network

Insect Classification Using Spatial Pyramid Pooling and Conv...

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IEEE Asia-Pacific Conference on Circuits and Systems

作者： Chang-Yu Wu Song-Min Ke Hoh-Siang Liao Chen-Hua Chen Ying-Hsiu Hung Shin-Chi Lai Department of Automation Engineering Master’s Program National Formosa University Huwei Taiwan Department of Automation Engineering National Formosa University Huwei Taiwan Doctoral Degree Program in Smart Industry Technology Research and Development National Formosa University Huwei Taiwan Dept. Automation Engineering & Smart Machinery and Intelligent Manufacturing Research Center National Formosa University Huwei Taiwan

ISBN: (数字)9798350378771

ISBN: (纸本)9798350378788

This study aims to enhance the accuracy and efficiency of insect classification using spatial pyramid pooling convolutional neural networks (SPP-CNN). Improving traditional convolutional neural networks has resulted in poor performance when dealing with the diversity of insects and images of various sizes. The dataset, provided by a collaborating company, includes six different insect categories. Given the relatively limited number of samples in the existing dataset, we employed various data augmentation techniques to enrich our training samples, such as sharpening, adding noise, resizing, adjusting brightness, and randomly rotating images. Experiments demonstrate that SPP-CNN shows superior performance in insect classification tasks compared to efficientNetV2. The proposed architecture has achieved an accuracy rate of $83.8 \%$, which is $3.9 \%$ higher than the $79.9 \%$ accuracy of EfficientNetV2 architectures. This improvement indicates that incorporating the spatial pyramid pooling layer significantly enhances the accuracy of insect image classification. Moreover, the adaptability of SPP-CNN to various image resolutions without the need for retraining significantly boosts its practicality for real-world applications.

关键词： Training Accuracy Image resolution Insects Noise Neural networks Data models Convolutional neural networks Integrated circuit modeling Image classification

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Single-cell transcriptomics uncovers EGFR signaling-mediated gastric progenitor cell differentiation in stomach homeostasis (vol 14, 3750, 2023)

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NATURE COMMUNICATIONS 2023年第1期14卷 1-16页

作者： Takada, Hitomi Sasagawa, Yohei Yoshimura, Mika Tanaka, Kaori Iwayama, Yoshimi Hayashi, Tetsutaro Isomura-Matoba, Ayako Nikaido, Itoshi Kurisaki, Akira Laboratory of Stem Cell Technologies Graduate School of Science and Technology Nara Institute of Science and Technology Takayama-cho Ikoma Nara Japan Laboratory for Bioinformatics Research RIKEN Center for Biosystems Dynamics Research Wako Saitama Japan Department of Functional Genome Informatics Biological Data Science Medical Research Institute Tokyo Medical and Dental University Bunkyo Tokyo Japan Master’s/Doctoral Program in Life Science Innovation (Bioinformatics) Degree Programs in Systems and Information Engineering Graduate School of Science and Technology University of Tsukuba Tsukuba Ibaraki Japan

Defects in gastric progenitor cell differentiation are associated with various gastric disorders, including atrophic gastritis, intestinal metaplasia, and gastric cancer. However, the mechanisms underlying the multilineage differentiation of gastric progenitor cells during healthy homeostasis remain poorly understood. Here, using a single-cell RNA sequencing method, Quartz-Seq2, we analyzed the gene expression dynamics of progenitor cell differentiation toward pit cell, neck cell, and parietal cell lineages in healthy adult mouse corpus tissues. Enrichment analysis of pseudotime-dependent genes and a gastric organoid assay revealed that EGFR-ERK signaling promotes pit cell differentiation, whereas NF-κB signaling maintains gastric progenitor cells in an undifferentiated state. In addition, pharmacological inhibition of EGFR in vivo resulted in a decreased number of pit cells. Although activation of EGFR signaling in gastric progenitor cells has been suggested as one of the major inducers of gastric cancers, our findings unexpectedly identified that EGFR signaling exerts a differentiation-promoting function, not a mitogenic function, in normal gastric homeostasis.

关键词： Adult stem cells Stem-cell differentiation Stem-cell niche

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Speech Abusive Language Detection System Using MFCC Speech Feature Extraction and Convolutional Neural Network

Speech Abusive Language Detection System Using MFCC Speech F...

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Consumer Technology (ICCT-Pacific), International Conference on

作者： Yi-Chang Zhu Ying-Hsiu Hung Yen-Ching Chang Jhen-Kai Tang Wen-Kai Tsai Shin-Chi Lai The Doctoral Degree Program in Smart Industry Technology Research and Development National Formosa University Huwei Taiwan Dept. Electronics Engineering National Yunlin University of Science and Technology Douliu Taiwan Doctoral Degree Program in Smart Industry Technology Research and Development National Formosa University Huwei Taiwan Department of Electrical Engineering Master's Program National Formosa University Huwei Taiwan Dept. Electrical Engineering National Formosa University Huwei Taiwan Dept. Automation Engineering & Smart Machinery and Intelligent Manufacturing Research Center National Formosa University Huwei Taiwan

ISBN: (数字)9798331504120

ISBN: (纸本)9798331504137

As bullying rapidly spreads in schools, many parents are becoming increasingly concerned about their children being subjected to bullying by peers, which could negatively impact their physical and mental health. This paper proposes an abusive language detection system that combines Mel-frequency Cepstrum Coefficients (MFCC) speech features with a Convolutional Neural Network (CNN). Audio files which contain daily abusive phrases in the Minnan dialect are initially preprocesses to eliminate non-speech interference. Subsequently, the MFCC algorithm is applied to extract speech features that closely capture auditory characteristics. The CNN classification model is trained to learn the MFCC features and classify the phrases into their respective categories. Experimental results indicate that the CNN model achieves an average recognition accuracy of 91.9%. Finally, the CNN model was deployed on an embedded platform, where it achieves an average recognition time of 0.54 seconds per phrase and an average recognition accuracy of 86.25%.

关键词： Pediatrics Accuracy Semantics Speech recognition Mental health Speech enhancement Feature extraction Convolutional neural networks Mel frequency cepstral coefficient Optimization

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