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EFFECTS OF REFRACTIVE INDEX AND ASPECT RATIO ON THE PARTICLE IMAGES IN A LEVITATED DROPLET

Multiphase Science and Technology 2024年第1期36卷 13-26页

作者： Gatete, Eugene Kaneko, Akiko Shen, Biao University of Tsukuba Systems and Information Engineering Graduate School of Science and Technology Degree Program of Engineering Mechanics and Energy 1-1-1 Tennodai Tsukuba Ibaraki305-8573 Japan University of Tsukuba Faculty of Engineering of Information Engineering and Systems 1-1-1 Tennodai Tsukuba Ibaraki305-8573 Japan

A technique using droplets suspended by ultrasound has attracted attention as one of the containerless processing methods. While this can avoid contamination from the container, it is known that ultrasonic levitation creates flow fields inside and outside the droplet. For more precise droplet control, it is desirable to elucidate the internal flow of the droplet, and measurements of the internal flow have been performed using the particle image velocimetry (PIV). The aim of this study is to elucidate the internal flow field behavior by solving optical problems and improving the accuracy of velocity field measurements in levitated droplets. The fluid that is to be investigated is scattered with small tracer particles and illuminated by a laser to capture the flow on a created laser sheet. The curvature distortion is successfully visualized using the PIV approach toward distortion correction using calibration methods. The curvature distortion illustration was performed based on the refractive index and aspect ratio of the simulated droplet in acrylic materials. The fluid flow, affected by droplet curvature and refractive index, has been visualized for both levitated and simulated droplets. The experimental results showed that the droplet curvature can be distorted in two types such as radial and tangential distortions and increase as the refractive index and aspect ratio increases. © 2024 by Begell House, Inc.

关键词： Refractive index

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Assessment of Dar es Salaam's resilience to climate change disasters using the Climate Disaster Resilience Index (CDRI)

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Singapore Journal of Tropical Geography 2024年第3期45卷 475-497页

作者： Mkasimongwa, Simon William Fakour, Hoda Hassani, Hussein Juma Sultan, Basma Abdulla Lai, Hsin-Chih Master Degree Program in Safety and Health Science Chang Jung Christian University Tainan City Taiwan International Program for Sustainable Development International College of Practice and Education for the Environment Chang Jung Christian University Tainan Taiwan Graduate Institute of Environmental Engineering National Taiwan University Taipei Taiwan Department of Green Energy and Environmental Resources Chang Jung Christian University Tainan Taiwan

Climate change is becoming an increasingly significant issue in Africa, and the need for climate resilience assessment has intensified. Dar es Salam is one of Africa's emerging megacities. With a population of over seven million, which continues to grow, there is an urgent need to understand the city's ability to deal with natural disasters. The Climate Disaster Resilience Index (CDRI) was used in this study to assess the city's ability to withstand and cope with climatic hazards. The Index was quantified using sets of dimensions (social, physical, economic, natural, and institutional), with various parameters indicating the city's abilities, strengths, and vulnerabilities to potential climate-related disasters. Despite being moderately resilient to climate change disasters, the results of our study indicate that the city's economic and institutional features obtained the lowest scores and the least resilience level. The study's findings provide a perspective on aspects of the city management sectors in terms of resilience and which should be given greater consideration in order to strengthen the city's current and future resilience. © 2024 Department of Geography, National University of Singapore and John Wiley & Sons Australia, Ltd.

关键词： climate change flooding resilience weather trends

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Three-dimensional Reconstruction Model Rendered with Hyperspectral Images: Biomarker Monitoring as an Example 26

Three-dimensional Reconstruction Model Rendered with Hypersp...

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Remote Sensing for Agriculture, Ecosystems, and Hydrology XXVI Conference 2024

作者： Ho, Ming-Han Yan, Yung-Jhe Cheng, Yu-Cheng Chou, Cong Yuan Ou-Yang, Mang Graduate Degree Program of Artificial Intelligence National Yang Ming Chiao Tung University Hsinchu Taiwan Institute of Electrical and Control Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan Institute of Intelligent Systems National Yang Ming Chiao Tung University Hsinchu Taiwan Institute of Smart Industry and Green Energy National Yang Ming Chiao Tung University Hsinchu Taiwan

ISBN: (纸本)9781510680906

Hyperspectral imaging is beneficial for non-destructive agricultural inspections, and three-dimensional reconstruction modeling is a powerful tool for inspecting the phenotype of plants. This study proposes an approach to combine three-dimensional reconstruction modeling and hyperspectral images into four-dimensional data. This data not only contains the three-dimensional structural information of an interesting object but also includes the spectral information of every point on the surface of this object. Firstly, the hyperspectral and visible images of an interesting object are acquired from hyperspectral and visible cameras. Secondly, high-resolution visible images are used to reconstruct a three-dimensional surface model of an interesting object. Thirdly, matching hyperspectral images with visible images establishes the correspondence between hyperspectral images and the three-dimensional model. Furthermore, the biomarker index can be derived from hyperspectral data. The biomarker index can be transformed into surface textures and combined with the three-dimensional model to form a three-dimensional biomarker model. © 2024 SPIE.

关键词： Hyperspectral imaging

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Financial Analysis of Cooling Systems for Environmental Conditioned Strawberry Cultivation in Semi-Closed Greenhouses in Chiang Mai, Thailand

Financial Analysis of Cooling Systems for Environmental Cond...

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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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Predicting biocrude oil yields from hydrothermal liquefaction of an energy grass: Machine learning approach and experimental validation

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AIP Conference Proceedings 2024年第1期3236卷

作者： Tossapon Katongtung Nakorn Tippayawong Graduate PhD Degree Program in Energy Engineering Faculty of Engineering Chiang Mai University Chiang Mai 50200 Thailand Department of Mechanical Engineering Faculty of Engineering Chiang Mai University Chiang Mai 50200 Thailand

In recent years, our world has been grappling with the challenges of global warming, prompting a search for alternative energy sources that can provide clean and sustainable power without adversely impacting the environment. Biomass has emerged as a viable option due to its potential as a renewable and environmentally friendly energy source. Among various processes available, hydrothermal liquefaction (HTL) has gained significant attention for its capability of converting wet biomass into biocrude oil in a relatively short timeframe. Previous studies have explored integration of machine learning with HTL to forecast the yields of biocrude oil. This work aims to develop a machine learning model specifically tailored to predicting the biocrude oil yields from the HTL process. Furthermore, experiments were done using Napier 4190 (Giant Juncao Grass) as a biomass source to verify the accuracy of this machine learning model. The findings revealed that the machine learning model achieved an R2 value of approximately 0.8. Model predictions and experimental results show a discrepancy of approximately 6-14%.

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To Sharpen or not to Sharpen? On the Effect of Sharpening Filters Applied to Magnified Images 14

To Sharpen or not to Sharpen? On the Effect of Sharpening Fi...

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14th International Conference on Digital Image Processing, ICDIP 2022

作者： Emmendorfer, Leonardo R. de Olviveira, Vinicius Menezes Schein, Tatiana T. de Jesus, Junior C. Rodriguez, Bárbara D.A. Electrical Energy Processing Department Federal University of Santa Maria 97105-340 Brazil Center for Computational Science Federal University of Rio Grande 96201-900 Brazil Computational Modeling PhD Program Federal University of Rio Grande 96201-900 Brazil Computer Engineering Graduate Program Federal University of Rio Grande 96201-900 Brazil Institute of Mathematics Statistics and Physics Federal University of Rio Grande 96201-900 Brazil

ISBN: (纸本)9781510657564

Super-resolution algorithms aim to produce magnified high-resolution versions from low-resolution images. Some methods, however, are prone to generate blur during the process. Simple sharpening filters are adopted to alleviate this type of artifact. However, the actual effectiveness of this approach is not clear-cut in the literature. This work evaluates the effect of three simple sharpening filters on the quality of images obtained from super-resolution methods. Two metrics were considered in the evaluation: the Peak signal-to-noise ratio (PSNR) metric, and the Learned Perceptual Image Patch Similarity (LPIPS). One of the filters could consistently improve the LPIPS metric of magnified images from diverse benchmark sets on top of seven super-resolution methods. The increments obtained for the perceptual metric seem to occur due to the sharpening effect. Improvements on PSNR values were not as consistent. © 2022 SPIE.

关键词： Quality control

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Synergetic strategy: upgrading fuel properties of waste starch composite fuels by blending torrefied spent coffee grounds

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Journal of the Taiwan Institute of Chemical Engineers 2024年

作者： Chen, Wei-Hsin Chen, Guan-Hong Lee, Kuan-Ting Gunarathne, Duleeka Sandamali 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 Master's Degree Program on Energy Engineering National Cheng Kung University Tainan701 Taiwan Department of Chemical and Materials Engineering Tunghai University Taichung407 Taiwan Department of Chemical and Process Engineering University of Moratuwa Moratuwa10400 Sri Lanka Faculty of Engineering Dong Nai Technology University Bien Hoa City Viet Nam Graduate School of Energy and Environment Korea University 145 Anam-ro Seongbuk-gu Seoul02841 Korea Republic of

Background: This study presents a composite solid fuel upgrading strategy by blending torrefied spent coffee grounds (TS) into waste starch (WS) at the weight ratios of 0 wt%, 5 wt%, 20 wt%, and 35 wt%. When the blending ratio of TS exceeds 35 wt%, TS-WS composite fuel fails to pelletize. Blending TS in WS contributes to the higher heating value (HHV) and carbon content. Methods: The Taguchi method is utilized to identify the optimal torrefaction conditions for HHV of TS. The highest HHV of TS at 300°C (300-TSCG) is 31.76 MJ∙kg−1, which is about 2.08 times that of WS. The carbon content, HHV, ignition temperature, and combustion reactivity of 35%TS-WS composite fuel are 51.15 wt%, 21.06 MJ∙kg−1, 262°C, and 4.6 wt%∙min-1∙°C−1, respectively. Attenuated total reflectance spectrometer, contact angle, hygroscopicity, mildew observation, storability, and water activity of TS-WS composite fuel are analyzed, and the storability of TS-WS composite fuel is discussed. Significant findings: Compared with 0%TS-WS, the HHV of 35% TS-WS increases 38%, while the carbon content increases by 34%. The mechanical strength of TS-WS decreases with the increase of TS blending amount. The strategy of blending TS and WS can significantly reduce the generation of WS and spent coffee grounds (SCGs) and upgrade the quality of composite solid fuel. Accordingly, TS-WS is a promising composite solid fuel that can approach sustainable production of biofuels without compromising commercial viability. © 2024 Taiwan Institute of Chemical Engineers

关键词： Spent fuels

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Title Biodecolorization of Biogas Power Plant Effluent Derived from Anaerobically Digested Distillery Wastewater by Natural Selected Pseudomonas Putida from Activated Sludge of the Wastewater Treatment Plant

SSRN

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SSRN 2023年

作者： Kumkaew, Ponruedee Suaisom, Pitchaya Mukkata, Kanokwan Koonaphapdeelert, Sirichai Sawatdeenarunat, Chayanon Nitayavardhana, Saoharit Master’s Degree Program in Environmental Engineering Faculty of Engineering Chiang Mai University Chiang Mai50200 Thailand Graduate School Chiang Mai University Chiang Mai50200 Thailand Energy Research and Development Institute – Nakornping Chiang Mai University Chiang Mai50200 Thailand Department of Environmental Engineering Faculty of Engineering Chiang Mai University Chiang Mai50200 Thailand Asian Development College for Community Economy and Technology Chiang Mai Rajabhat University Chiang Mai50300 Thailand Center of Excellence in Materials Science and Technology Chiang Mai University Chiang Mai50200 Thailand

The main aim of this study was to utilize naturally selected Pseudomonas putida strains isolated from activated sludge in a wastewater treatment plant, for the purpose of bioremediation of biogas effluent to remove organic content and color. Biogas effluent from anaerobically digestion of distillery wastewater treated with P. putida at the best evaluated condition (sample concentration of 50% v/v, agitation and aeration rates of 250 rpm and 1.0 vvm for 6 days) showed significant decolorization and organic removal efficacies of 34.29 ± 0.87% and 38.94 ± 0.63%, respectively. Bioremediation efficiency was dependent on bacterial growth which organic content in sample and dissolved oxygen during cultivation were key factors. The natural selected bacterium could tolerate higher organic content and work synergistically with other indigenous microorganisms found in the biogas effluent. Consequently, bioremediation of biogas effluent by natural selected P. putida is feasible to apply in biogas power plant where sterilization is not necessary in the process. © 2023, The Authors. All rights reserved.

关键词： Bioremediation

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Development of low-cost tool for assessing chlorophyll content using the mobile-phone camera

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AIP Conference Proceedings 2024年第1期3086卷

作者： Wahyu Nurkholis Hadi Syahputra Chatchawan Chaichana Ramnarong Wanison Braja Manggala Graduate Master’s Degree Program in Energy Engineering Department of Mechanical Engineering Faculty of Engineering Chiang Mai University Chiang Mai 50200 Thailand Energy Technology for Environment Research Center Department of Mechanical Engineering Faculty of Engineering Chiang Mai University Chiang Mai 50200 Thailand Department of Mechanical Engineering Faculty of Engineering Chiang Mai University Chiang Mai 50200 Thailand

Leaves can be used to assess the health of a plant. The chlorophyll content and nitrogen status of plants might be used to assess plant health. Chlorophyll content of plant leaves is measurable in the laboratory using dimethyl sulfoxide or the Kjeldahl technique. These destructive investigations of plant tissues accurately evaluates chlorophyll concentration and nitrogen status. However, this procedure is costly and time-consuming. Using a SPAD instrument, non-destructive chlorophyll measurements were performed. However, the price of the instrument is high. This research intends to develop a technique for detecting chlorophyll content using a smartphone’s built-in camera. The approach used is an advancement of ground-based remote sensing technology. The object of this research is maize. An RGB camera on a mobile phone was used to gather data on the greenness level of the leaf. Concurrently, the SPAD value was measured to determine the chlorophyll content. In this study, there were three primary phases, capturing leaf images with geotags, leaf image processing, and vegetation index (VIs) analysis. This research demonstrated that a mobile camera has potential as a tool for measuring chlorophyll content depending on the level of leaf greenness. Additionally, the GPS function on each data provides the chlorophyll distribution in a field.

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Optimization of vertical spacing between each row of a vertical shelf to meet minimum sunlight requirement for strawberries

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AIP Conference Proceedings 2024年第1期3086卷

作者： Ar Man Chatchawan Chaichana Suwimon Wicharuck Ramnarong Wanison Damrongsak Rinchumphu Graduate Master’s Degree Program in Energy Engineering Department of Mechanical Engineering Faculty of Engineering Chiang Mai University Chiang Mai 50200 Thailand Department of Mechanical Engineering Faculty of Engineering Chiang Mai University Chiang Mai 50200 Thailand Energy Technology for Environment Research Center Faculty of Engineering Chiang Mai University Chiang Mai 50200 Thailand Department of Civil Engineering Faculty of Engineering Chiang Mai University Chiang Mai 50200 Thailand

Vertical farming (VF) allows for more plants to be cultivated in a particular land area, maximizing land-use efficiency. VF employs multileveled shelves enabling crops to be planted at each level. This paper aims to develop an optimization model that could generate a required setup of a vertical shelf that would meet the sunlight requirements of strawberries. Firstly, the simulation model was developed using Rhino (Rhinoceros) software with Grasshopper plugin, which can predict the sunlight availability at each VF shelf level. The model is validated by the experiment in Chiang Mai province, Thailand, at an elevation higher than 310 m above mean sea level. The experiment set up of the VF shelf with three levels was constructed, and the solar radiation values were recorded and validated against the radiation predicted by the model. The validated model is used to simulate the sunlight radiation on each level of the shelf for different shelf designs with varying vertical spacings between each level. These sets of predicted radiation values and vertical spacings are used to train the ANN (Artificial Neural Network) model. The ANN simulation model was developed using MATLAB software with Simulink and Neural Net Fitting App. The trained ANN model has an MSE (Mean Squared Error) of 0.00019621 and an R (the correlation coefficient) value of 0.9992. As a result, the optimization model could successfully give out the vertical spacing between each level of the VF shelf with an input of desired sunlight availability on each level. For the PPFD (Photosynthetic Photon Flux Density) of 600 µmol/m2/s on both levels, the spacing should be 51.34 cm from the top to the middle (y1) and 48.69 cm from the middle to the bottom (y2). To receive 600 and 500 µmol/m2/s on the middle and bottom level respectively, the levels should be placed 66.77 cm (y1) and 30.89 cm (y2) apart.

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