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ssRN 2023年

作者： Wang, Yifan Wu, Jinghui Tseng, Yu-Yao Zhao, Chunliang Li, Keqing Wang, Xianze Wang, Ming-Hung Lay, Chyi-How Huo, Mingxin Engineering Research Center of Low-Carbon Treatment Green Development of Polluted Water in Northeast China Ministry of Education Changchun130117 China Science and Technology Innovation Center for Municipal Wastewater Treatment and Water Quality Protection Northeast Normal University Changchun130117 China Key Laboratory of Songliao Aquatic Environment Ministry of Education Jilin Jianzhu University Changchun130118 China Master's Program of Green Energy Science and Technology Feng Chia University Taichung40724 Taiwan Department of Computer Science and Information Engineering National Chung Cheng University Chiayi County Taiwan

Anaerobic fermentation for hydrogen production has many environmental factors that limit microbial activity, but machine learning has enormous potential in handling the complexity of biological processes. This study explores the potential of machine learning in predicting hydrogen production rates (HPR) from anaerobic fermentation of biomass energy. Grey relation analysis was conducted to determine the correlation between operational parameters and HPR. Five machine learning algorithms, such as decision tree (DT), random forest (RF), extreme gradient boosting (XGBoost), and K-nearest neighbor (KNN), were then paired with operating conditions and water quality performance as features and HPR as a label, with mean squared error (MsE) and R2 as evaluation indexes. Butyric acid, oxidation-reduction potential (ORP), and volatile suspended solids (Vss) were found to play crucial roles in hydrogen production from sucrose anaerobic fermentation. XGBoost had the highest accuracy with R2 of 0.91 and MsE of 0.0052. © 2023, The Authors. All rights reserved.

关键词： Machine learning

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Reconstructing suspended sediment Concentrations in the Mekong River Basin Via semi-supervised-Based Deep Neural Networks

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ssRN 2024年

作者： Nguyen, Thi-Thu-Ha Vu, Duc Quang Doan, Ngoc Phu Thi Khanh Chi, Huynh Li, Peixin Van Binh, Doan An, Yimeng Tuan Dung, Pham Hoang, Tuan A. Thai son, Mai Laboratory of Environmental Sciences and Climate Change Institute for Computational Science and Artificial Intelligence Van Lang University Ho Chi Minh City70000 Viet Nam Faculty of Environment School of Technology Van Lang University Ho Chi Minh City70000 Viet Nam Department of Computer Science and Information System Thai Nguyen University of Education Viet Nam School of Electronics Electrical Engineering and Computer Science Queen’s University Belfast United Kingdom College of Economics and Management Nanjing University of Aeronautics and Astronautics China Master program in Water Technology Reuse and Management Faculty of Engineering Vietnamese-German University Binh Duong Province Ben Cat Town820000 Viet Nam

The Mekong River Basin (MRB) is one of the highest biodiversity areas in the world and is the vital source of livelihoods for more than 60 millions of people over six countries in southeast Asia. However, it is suffering from a severe sediment starvation problem caused by climate change and human activities, particularly dam constructions. Understanding long-term sediment changes thus plays a crucial role for management and contingency plans. Current sediment concentration data in the MRB are extremely sporadic, making it a non-trivial task to analyze them. This paper focuses on the sediment reconstruction to provide long-term reliable suspended sediment concentration (ssC) data using Machine Learning (ML) perspectives. In particular, a novel semi-supervised ML model, which can effectively deal with data sparsity, is introduced to predict/reconstruct missing sediment data. The key idea of this approach is to exploit abundant available hydroclimate data to reduce training overfitting rather than solely relying on sediment concentration data, thus enhancing the accuracy of the employed ML models. Extensive experiments on data obtained from 1979 to 2019 at the three main stations (i.e., Chiang saen, Nong Khai, and Mukdahan) are conducted to demonstrate the performances of the proposed method compared to other state-of-the-art supervised techniques and traditional simulation methods commonly used in previous sediment forecasting/reconstruction studies. To the best of our knowledge, this approach is the first semi-supervised method to reconstruct sediment data in the field. Though this study focuses on the MRB, sediment sparsity is a very common problem in other river systems worldwide. Thus, this method can be widely applied for them for more effective sediment reconstruction/prediction in general. © 2024, The Authors. All rights reserved.

关键词： Biodiversity

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Design of Imitation and 3D Operations Implemented with a Four-Axis DOBOT

Design of Imitation and 3D Operations Implemented with a Fou...

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2019 IEEE International Conference of Intelligent Applied systems on engineering, ICIAsE 2019

作者： Wu, Chang-Hsi Chang, Chih-Wei Wu, Jia-Hao Hsieh, Yi-Chieh Lunghwa University of Science and Technology Department of Electronic Engineering Master's Program in Electronic Engineering Taoyuan City Taiwan

ISBN: (纸本)9781538681398

In this paper, the design of the control board and human-machine interface for imitation and 3D operation is implemented with the DOBOT arm mechanism. The coordinate array data of glyphs written on the tablet is captured by the CCD camera. The glyph learning and imitation are implemented by the center point and radius estimation algorithms. In addition, the 3D position and operation procedure planned on the computer window interface will also be converted into a tracking coordinate array and procedure control code. They will be transmitted to the ARM chip on the control board via WIFI or UsB, for parallel-quadrilateral link calculation and coordinate conversion of the track, to get the motor control command of the robot arm. The automated monitoring system proposed in this paper is the result of completely self-design and development on software, firmware and hardware. Rotational control accuracy of 0.01125 deg/pulse and writing error of less than 0.5 mm can be achieved. © 2019 IEEE.

关键词： Firmware

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Utilizing Educational Robotics for Learning About sustainability Issues

Utilizing Educational Robotics for Learning About Sustainabi...

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IEEE Latin American Robotics symposium, LARs

作者： Andre Carlos Teixeira de Vasconcelos Almir silva silveira Raphael Melo de Oliveira Lucas Tejedor da silva Giselle Medeiros Mesiara João Roberto de Toledo Quadros Master's Degree Program in Computer Science Celso Suckow da Fonseca Federal Technological Education Center Rio de Janeiro Brazil Department of Computer Science Celso Suckow da Fonseca Federal Technological Education Center Rio de Janeiro Brazil Sense & Learn (SELEA)21 Copenhagen University Denmark Department of Electronic Engineering/Pos-Graduate Program in Computer Science Celso Suckow da Fonseca Federal Technological Education Center Rio de Janeiro Brazil

ISBN: (数字)9781665462808

ISBN: (纸本)9781665462815

Nowadays, schools are trying to insert knowledge and learning about sustainability issues and environmental conservation in the academic context from an early age. It is also observed the use of information technology with new didactic and ludic resources that can encourage elementary and high school students to obtain knowledge about sustainability. To this end, this research presents some results using Educational Robotics, Gestalt, and information technology, which students received from a Brazilian public elementary school. In this study, after attending workshops on sustainability, the students developed robotic resources to help them with sustainability-related knowledge. The resources were tested according to their objectives: a mobile robot that recognizes the food and shows its footprint and a box with gas sensors to identify if food is in consumable condition or should be recycled. The experiment was very successful and is in a continuous application phase.

关键词： Conferences Education Robot sensing systems Object recognition Mobile robots sustainable development Information technology

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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

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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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synthetic series of electricity generation through a photovoltaic system by using different panel temperature models

Renewable Energy and Power Quality Journal

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Renewable Energy and Power Quality Journal 2021年 19卷 39-44页

作者： stach, A.H.M. Neto, D.P. Vidal, M.A. souto, O.C.N. silva, s.B. Domingues, E.G. Master’s Program in Sustainable Process Technology Federal Institute of Education Science and Technology of Goiás Brazil Rua 75 nº46-Centro Goiânia-GO74055-110 Brazil Electrical Engineering/Control and Automation Engineering Program Federal Institute of Education Science and Technology of Goiás Brazil Rua 75 nº46-Centro Goiânia-GO74055-110 Brazil NeXT-Nucleus of Experimental and Technological Studies Federal Institute of Education Science and Technology of Goiás Brazil Rua 75 nº46-Centro Goiânia-GO74055-110 Brazil

The electric energy produced by photovoltaic systems is a function of several variables that present random behavior, such as solar irradiance, ambient temperature, wind speed, and relative humidity. several models describe the energy produced by these systems, which reflect the various factors that influence the generation and how significant these influences are. In this way, the present work aims to compare some panel temperature models and the electrical energy produced from a photovoltaic system located in the Midwest of Brazil. The applied methodology aims to evaluate the expected averages and standard deviations of the monthly synthetic series of generated energy to identify the main random variables that influence the electric generation. The results indicate the model that best describes the physical system concerning the randomness of the variables involved, the photovoltaic technology, the location, and the measurement period. © 2021, European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ). All rights reserved.

关键词： stochastic models

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The diversity of active microbial groups in an activated sludge process treating painting process wastewater 6

The diversity of active microbial groups in an activated slu...

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6th Environmental Technology and Management Conference, ETMC 2019

作者： Ariesyady, Herto Dwi Mayanda, Mentari Rizki Ito, Tsukasa Environmental Management Technology Research Group Faculty of Civil and Environmental Engineering Institut Teknologi Bandung Jl. Ganesha 10 Bandung40132 Indonesia Master's Program of Environmental Engineering Institut Teknologi Bandung Jl. Ganesha 10 Bandung40132 Indonesia Department of Environmental Engineering Science Gunma University Kiryu Gunma376-8515 Japan

Activated sludge process is one of the wastewater treatment method that is applied for many wastewater types including painting process wastewater of automotive industry. This wastewater is well-known to have high heavy metals concentration which could deteriorate water environment if appropriate performance of the wastewater treatment could not be achieved. In this study, we monitored microbial community diversity in a Painting Biological Treatment (PBT) system. We applied a combination of cultivation and genotypic biological methods based on 16s rRNA gene sequence analysis to identify the diversity of active microbial community. The results showed that active microbes that could grow in this activated sludge system were dominated by Gram-negative bacteria. Based on 16s rRNA gene sequencing analysis, it was revealed that their microbial diversity has close association with Bacterium strain E286, Isosphaera pallida, Lycinibacillus fusiformis, Microbacterium sp., Orchobactrum sp., Pseudomonas guariconensis, Pseudomonas sp. strain MR84, Pseudomonas sp. MC 54, serpens sp., stenotrophomonas acidaminiphila, and Xylella fastidiosa with similarity of 86 - 99%. This findings reflects that microbial community in a Painting Biological Treatment (PBT) system using activated sludge process could adapt with xenobiotics in the wastewater and has a wide range of diversity indicating a complex metabolism mechanism in the treatment process. © 2020 The Authors, published by EDP sciences.

关键词： Activated sludge process

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Biogas production and its utilization in internal combustion engines - A review

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Process safety and Environmental Protection 2024年 186卷 518-539页

作者： Vasan, Vinod sridharan, Naveen Venkatesh Feroskhan, M. Vaithiyanathan, sugumaran subramanian, Balaji Tsai, Pei-Chien Lin, Yuan-Chung Lay, Chyi-How Wang, Chin-Tsan Ponnusamy, Vinoth Kumar Vellore Institute of Technology Chennai600127 India Department of Mechanical Engineering Faculty of Engineering and Technology SRM Institute of Science and Technology Kattankulathur Chennai603203 India Kaohsiung City807 Taiwan Department of Computational Biology Institute of Bioinformatics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Tamil Nadu Chennai602105 India Institute of Environmental Engineering National Sun Yat-sen University Kaohsiung804 Taiwan Center for Emerging Contaminants Research National Sun Yat-sen University Kaohsiung804 Taiwan Master's Program of Green Energy Science and Technology Feng Chia University Taichung City407102 Taiwan Department of Mechanical and Electro-Mechanical Engineering National I-Lan University I Lan Taiwan Research Center for Precision Environmental Medicine Kaohsiung Medical University Kaohsiung City807 Taiwan Kaohsiung City807 Taiwan Division of Operation and Maintenance Engineering Luleå University of Technology Luleå Sweden Department of Chemistry National Sun Yat-sen University Kaohsiung804 Taiwan

This review presents the significance and current challenges associated with fossil fuels, highlighting the need for cleaner and more sustainable energy sources. The significant object of the current study is to concentrate on increased interest in utilizing biogas as a viable substitute for traditional fuels, delving into its characteristics, benefits, accessibility, feasibility, and prospects as an environmentally sustainable energy option. The current study extensively analyses the prospect and significance of biogas in mitigating emissions regulations in Internal Combustion Engines (ICEs). This paper provides a comprehensive overview of recent research on incorporating biogas in internal combustion engines, focusing on emission reduction and the corresponding impact on engine performance. The subject matter encompasses a range of facets about biogas, encompassing its origins, chemical composition, purification, enhancement techniques, and requisite engine adjustments to enable the effective utilization of biogas as an alternative fuel. The study also evaluates the performance of biogas-fuelled ICEs based on the results of cross-referencing with contemporary research and investigates peripheral aspects such as additive inclusion to increase biogas capabilities as fuel and potential applications in advanced engine modes of operation. The review identifies research gaps in the domains of biogas processing and utilization in ICEs and acknowledges existing challenges specific to the adoption of biogas as a conventional fuel alternative. Future research directions are also prescribed, further highlighting the importance of transitioning from fossil fuels to meet environmental goals and global energy demands. © 2024 The Institution of Chemical Engineers

关键词： Biogas

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Compact And scalable Large Vortex Array Generation Using Azocarbazole Polymer And Digital Hologram Printing Technique

Research Square

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Research square 2021年

作者： Jessie, Jackin Boaz Masaki, shirai Honoka, Haginaka Kinashi, Kenji Tsutsumi, Naoto sakai, Wataru Materials Innovation Laboratory Kyoto Institute of Technology Kyoto Japan Master’s Programs of Materials Chemistry Kyoto Institute of Technology Kyoto Japan Bachelor’s Program of Materials Chemistry Kyoto Institute of Technology Kyoto Japan Faculty of Materials Science and Engineering Kyoto Institute of Technology Kyoto Japan

An integrated device capable of generating large number of multiplexed optical vortex beams with arbitrary topological charges is considered as one of the crucial requirement for driving information photonics forward. Here we report a simple method for simultaneous generation of 100 multiplexed optical vortex beams from a polymer film of size 1mm2 and thickness of 30µm. This is achieved through a combination of computer generated holography, digital hologram printing and photoisomeric polymers. When the fabricated sample is illuminated with a collimated laser beam, a pre-determined vortex array with arbitrary topological charge is emitted. The polymer film easy to synthesise and exhibits good diffraction efficiency and long retention time. © 2021, CC BY.

关键词： Holograms

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Portable Howell heterophoria measurement device

Portable Howell heterophoria measurement device

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2021 International symposium on Intelligent signal Processing and Communication systems, IsPACs 2021

作者： Chen, Der-Chin Yeh, Feng-Ming Lin, shyang Liu, Yung-Fu Hsieh, Ya-Hui Chen, Wei-Hsin Feng Chia University Department of Electrical Engineering Taichung Taiwan Department of Optometry Yuanpei University of Medical Technology Hsinchu Taiwan Professional Master s Program of Optometry Science and Technology Feng Chia University Taichung Taiwan Department of Veterinary Medicine National Chung Hsing University Taichung Taiwan Department of Healthcare Information and Management Ming Chuan University Taoyuan Taiwan Department of Optometry Hsin Sheng Junior College of Medical Care and Management Taoyuan Taiwan

ISBN: (纸本)9781665419512

In this study, we used a compound vision card consisting of Howell's and Thorington's vision card on both sides, and placed a prism or a Maddox 's lens in the left eye of the subjects to establish the subjective measurement technique of heterophoria. When a prism with 6 prism diopters and the base upward was placed in front of the left eye of the subject to look at the front of the compound vision card at 45 cm, it was observed that the Howell vision card was separated into two vision cards. After confirming the relative position of the point of the upper and lower vision cards, the subject move the paddle on the measuring device to make the paddle overlap the point of the upper vision card, judge the left and right directions of the point and read number of the horizontal base line, and then measure the line of sight deviation of the near horizontal heterophoria. In this study, 5 subjects with normal vision were tested with von Graefe, Howell and This innovative device for near distance horizontal esotropia. The test results showed that 85% of the subjects were exotropia, and the difference of the three measurements was within one prism diopter (±1Δ). It is proved that the reliability of the measuring device is excellent. © 2021 IEEE.

关键词： Prisms

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