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Enhancing compatibility and biodegradability of polylactic acid/biomass composites through torrefaction of forest residue

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Journal of Bioresources and Bioproducts 2025年第1期10卷 51-61页

作者： June-Ho Choi Myeong Rok Ahn Chae-Hwi Yoon Yeon-Su Lim Jong Ryeol Kim Hyolin Seong Chan-Duck Jung Sang-Mook You Jonghwa Kim Younghoon Kim Hyun Gil Cha Jae-Won Lee Hoyong Kim Center for Bio-based Chemistry Korea Research Institute of Chemical Technology(KRICT)Ulsan 44429South Korea Department of Wood Science and Engineering College of Agriculture and Life SciencesChonnam National UniversityGwangju 61186South Korea Interdisciplinary Program in IT-Bio Convergence System Chonnam National UniversityGwangju 61186South Korea

This study investigated the effects of torrefaction on forest residue(FR)and its subsequent ap-plication as a bulk-loading filler in polylactic acid(PLA)*** enhanced the chemical properties of FR,improving its compatibility with PLA,and the crystallinity increased from 24.9%to 42.5%.The process also improved the hydrophobicity of PLA/biomass composites,as demonstrated by the water contact angle of 76.1°,closely matching that of neat PLA(76.4°).With the introduction of 20%modified biomass properties after torrefaction treatment,the tensile strength of PLA/biomass composite increased from 58.7 to 62.3 ***,the addition of torrefied forest residue(TFR)accelerated biodegradation by increasing the onset of degrada-tion and inhibiting *** 90 d,the biodegradability of PLA/biomass composites reached 94.9%,which had a 6.9%increase compared to the neat PLA(88.8%).Overall,this study highlights the potential of torrefaction in enhancing both the physical properties and biodegrad-ability of PLA-based composites,contributing to a more sustainable approach to reducing plastic pollution.

关键词： Forest residue Torrefaction Bulk-loading filler Polylactic acid composite Hydrophobicity Tensile strength Biodegradability

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Improvement of the latex adhesive production control system based on the concept of Lean Automation 8

Improvement of the latex adhesive production control system ...

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8th International Conference on engineering and Emerging Technologies, ICEET 2022

作者： Rungsawang, Sathit Srithorn, Jongkol Suranaree University of Technology System Engineering Program School of Industrial Engineering Institute of Engineering Nakhon Ratchasima Province Thailand

ISBN: (纸本)9781665491068

Many factories want to automate production processes to reduce production costs. This research aims to find the causes of problems and waste in production. To improve the polymerization method of latex adhesive production process by focusing on reducing wastage caused by waste moving unnecessary things unnecessary movement and waste from the process by using questioning techniques Why-why analysis and Cause and effect diagram to find the cause of the defect. Once the cause has been identified, start with Lean Manufacturing activities to design steps to improve the production process to make the production process more efficient and flow continuously. Subsequently, automation technology was applied to create an automated, lean manufacturing process. After the improvement from the total production of 24 batches, no production waste problems were found. Furthermore, the production time was reduced from 15 hours to 12 hours and 15 minutes, or 18.33 percent of the time reduction. 1,531.25 baht per production cycle reduced the labor costs © 2022 IEEE.

关键词： Control systems

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Waste reduction in production for plasma cutting process by applying the MES system 8

Waste reduction in production for plasma cutting process by ...

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8th International Conference on engineering and Emerging Technologies, ICEET 2022

作者： Pimpetch, Khwanchanok Srithorn, Jongkol School of Industrial Engineering Institute of Engineering Suranaree University of Technology System Engineering Program Nakhon Ratchasima Province Thailand

ISBN: (纸本)9781665491068

This research aims to improve the plasma cutting process to increase the efficiency of the process by applying the MES system (Manufacturing Execution systems). This study focused on increasing efficiency in the plasma cutting process for supporting future customers' needs, reducing the cost of waste in the plasma cutting process, and creating a more standardized production process. The MES system directly linked pc and PLC (programmable Logic Controller) to increase operational efficiency. The system allows auto-input of all parameters needed for the plasma cutting process through the connection. Furthermore, this system enables the robot to receive the cutting program command based on the customer's command data in the MES Server by creating conditions from the Kepware application. The experimental results show that improvement by the application of the MES system can reduce the production time by %07.55. The amount of waste caused by the plasma cutting process due to cutting errors by %100. Furthermore, it allows the company to reduce the cost of repairing time and reduce the cost of producing new parts to replace the scrap. © 2022 IEEE.

关键词： Industrial research

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A Q-Learning Hybrid BRKGA Applied to the Knapsack Problem with Forfeits 13

A Q-Learning Hybrid BRKGA Applied to the Knapsack Problem wi...

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13th IEEE Congress on Evolutionary Computation, CEC 2024

作者： Souto, Gabriel Aritsugi, Masayoshi Mendonca, Israel Simonetti, Luidi González, Pedro Henrique Federal University of Rio de Janeiro System Engineering and Computer Science Program Rio de Janeiro Brazil Kumamoto University Faculty of Advanced Science and Technology Kumamoto Japan

ISBN: (纸本)9798350308365

This paper presents a hybrid BRKGA (Q-HBRKGA) that combines BRKGA with Q-learning and a Local Branching technique to solve the Knapsack Problem with Forfeits(KPF). The aim is to tackle this problem, a vari-ant of the 0-1 Knapsack Problem, where a penalty cost is imposed when both items of a forfeit pair are included in the solution. Notably, Q-HBRKGA achieves superior results compared to existing approaches, establishing a valid strategy for KPF problem-solving. Computational experiments, utilizing benchmark instances, demonstrate the efficacy of Q-HBRKGA by outperforming state-of-the-art methods documented in the literature. © 2024 IEEE.

关键词： Reinforcement learning

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Unassisted photoelectrochemical CO_(2)reduction by employingⅢ-Ⅴphotoelectrode with 15%solar-to-fuel efficiency

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Carbon Energy 2025年第3期7卷 1-10页

作者： Karthik Peramaiah Purushothaman Varadhan Vinoth Ramalingam Bilawal Khan Pradip Kumar Das Hao Huang Hui-Chun Fu Xiulin Yang Vincent Tung Kuo-Wei Huang Jr-Hau He Chemistry Program Center for Renewable Energy and Storage Technologies(CREST)and Division of Physical Science and EngineeringKing Abdullah University of Science and Technology(KAUST)ThuwalSaudi Arabia Institute of Sustainability for Chemicals Energyand Environment(ISCE2)Agency for ScienceTechnologyand Research(A*STAR)Singapore School of Computing Engineering and TechnologyRobert Gordon UniversityAberdeenUK Department of Materials Science and Engineering City University of Hong KongKowloonSARHong KongChina Guangxi Key Laboratory of Low Carbon Energy Materials School of Chemistry and Pharmaceutical SciencesGuangxi Normal UniversityGuilinChina Department of Chemical System and Engineering University of TokyoTokyoJapan

Solar-driven carbon dioxide reduction reaction(CO_(2)RR)provides an oppor tunity to produce value-added chemical feedstocks and ***,achieving efficient and stable photoelectrochemical(PEC)CO_(2)RR into selec tive products is challenging owing to the difficulties associated with the optical and the electrical configuration of PEC devices and electrocatalyst ***,we construct an efficient,concentrated sunlight-driven CO_(2)RR setup consisting of InGaP/GaAs/Ge triple-junction cell as a photoanode and oxide-derived Au(Ox-Au)as a cathode to perform the unassisted PEC CO_(2)*** one-sun illumination,a maximum operating current density of 11.5 mA cm^(-2) with an impressive Faradaic efficiency(FE)of~98%is achieved for carbon monoxide(CO)production,leading to a solar-to-fuel conversion efficiency of~15%.Under concentrated intensity of 10 sun,the photoanode records a maximum current density of~124 mAcm^(-2) and maintains~60%of FE for CO *** results demonstrate crucial advancements in usingⅢ-Ⅴbased photoanodes for concentrated PEC CO_(2)RR.

关键词： 3J photoanode CO_(2)reduction high STF unassisted PEC

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Altitude Hold Controls on Multi-Rotor sUAV with Barometer Effects

Altitude Hold Controls on Multi-Rotor sUAV with Barometer Ef...

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2025 IEEE International Conference on Cybernetics and Innovations, ICCI 2025

作者： Jantawong, Jirayuth Songsree, Prasongsuk Kirathihiran, Warinthorn Technology Program in Electrical Technology and Automatic Control System Siam Technology College Faculty of Engineering and Technology Bangkok Thailand

ISBN: (纸本)9798331533267

This paper presents an accurate altitude estimation on a small multirotor UAV. That is crucial for the stability and performance of UAV, particularly in altitude hold control. Barometric pressure sensors are widely used to estimate altitude based on atmospheric pressure, but their readings are highly susceptible to environmental fluctuations, temperature variations, and dynamic airflow effects. To mitigate these altitude errors, this study focuses on enhanced flight control installation techniques, including the physical protection of barometric sensors inside enclosed, well-ventilated compartments to shield them from wind disturbances and rapid pressure changes. The proposed mitigation strategy is validated through ground testing and flight testing, where altitude hold performance is assessed under various environmental conditions. The results confirm that enclosing the barometric sensor within a protective, ventilated chamber significantly reduces altitude estimation errors, leading to more stable altitude hold control with reduced vertical oscillations. These findings highlight the importance of integrated sensor protection in UAV flight control system design and provide a practical framework for improving altitude estimation reliability in both consumer and industrial UAV applications. © 2025 IEEE.

关键词： Target drones

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Altitude Hold Controls on Multi-Rotor sUAV with Barometer Effects

Altitude Hold Controls on Multi-Rotor sUAV with Barometer Ef...

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Cybernetics and Innovations (ICCI), International Conference on

作者： Jirayuth Jantawong Prasongsuk Songsree Warinthorn Kirathihiran Faculty of Engineering and Technology Technology Program in Electrical Technology and Automatic Control System Siam Technology College Bangkok Thailand

ISBN: (数字)9798331533267

ISBN: (纸本)9798331533274

关键词： Temperature sensors Wind Technological innovation Fluctuations Autonomous aerial vehicles Barometers Protection Thermal stability Aerospace control Testing

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Human Following Robot Based on Object Detection for Aerospace Application 1

Human Following Robot Based on Object Detection for Aerospac...

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1st International Conference of Adisutjipto on Aerospace Electrical engineering and Informatics, ICAAEEI 2024

作者： Sumari, Arwin Datumava Wahvudi Aryandika, Ahnaf Bagus Purnami, Ndaru Atmi Dermawan, Denny Syamsiana, Ika Noer State Polytechnic of Malang Cognitive Artificial Intelligence Research Group Department of Electrical Engineering Malang Indonesia Adisutjipto Institute of Aerospace Technology Electrical Engineering Study Program Yogyakarta Indonesia Adisutjipto Institute of Aerospace Technology Aerospace Navigation Instrumentation Control Automation and Robotics System Research Group Electrical Engineering Study Program Yogyakarta Indonesia Adisutjipto Institute of Aerospace Technology Electrical Engineering Study Program Aerosp. Digit. Syst. Microprocessor Microcontroller and Programmable Logic Devices Research Group Yogyakarta Indonesia

ISBN: (纸本)9798331507930

In this research, the Human Following Robot (HFR) prototype has been designed and implemented using YOLO v3-Tiny and Tensor Flow Lite on Raspberry Pi hardware named Rewang. The HFR Rewang is designed to assist aircraft technicians by bringing maintenance tool kits to aircraft shelters. Rewang's movement is based on a camera as a vision sensor following the movement of human entities. Image input is processed by YOLO v3-Tiny through the determination of the bounding box, the calculation of Euclidean Distance, and the determination of the pixel value of the camera as the basis of Rewang's movement which is regulated by an L298N driver motor that controls two Direct Current (DC) motors for the left and right wheels. The test results show that Rewang can move at an average speed of 0.18 m/s at 2 m with a travel time of 11 seconds with a light intensity of more than 250 lux. The minimum and maximum distance of object detection is as far as 120 cm and 400 cm, with an object detection accuracy of 95.8%. Rewang allows the HFR to have a larger carrying capacity to bring more complete aircraft maintenance tools and is prospective for other aerospace and general applications. © 2024 IEEE.

关键词： Travel time

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Coprecipitation Strategy for Halide-Based Solid-State Electrolytes and Atmospheric-Dependent In Situ Analysis

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ACS Applied Materials and Interfaces 2024年第21期16卷 27394-27399页

作者： Bilo, Josanelle Angela V. Chang, Chung-Kai Chuang, Yu-Chun Fang, Mu-Huai Research Center for Applied Sciences Academia Sinica Taipei11529 Taiwan Department of Engineering and System Science National Tsing Hua University Hsinchu30013 Taiwan Nano Science and Technology Program Taiwan International Graduate Program Academia Sinica and National Tsinghua University Hsinchu30013 Taiwan Department of Science and Technology Philippine Textile Research Institute Taguig City1631 Philippines National Synchrotron Radiation Research Center Hsinchu300 Taiwan

In the continuous pursuit of an energy-efficient alternative to the energy-intensive mechanochemical process, we developed a coprecipitation strategy for synthesizing halide-based solid-state electrolytes that warrant both structural control and commercial scalability. In this study, we propose a new coprecipitation approach to synthesized Li3InCl6, exhibiting both structural and electrochemical performance stability, with a high ionic conductivity of 1.42 × 10-3 S cm-1, comparable to that of traditionally prepared counterparts. Through the in situ synchrotron X-ray diffraction technique, we unveil the stability mechanisms and rapid chemical reactions of Li3InCl6 under dry Ar, dry O2, and high-humidity atmosphere, which were not previously reported. Furthermore, the fast reversibility capability of moisture-exposed Li3InCl6 was tracked under vacuum, revealing the optimal recovery conditions at low temperatures (150-200 °C). This work addresses the critical challenges in structural engineering and sustainable mass production and provides insights into chemical reactions under real-world conditions. © 2024 The Authors. Published by American Chemical Society.

关键词： Coprecipitation

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Optimization of Node Reduction Using BRKGA for GNN-Based Traffic Speed Forecasting 13

Optimization of Node Reduction Using BRKGA for GNN-Based Tra...

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13th IEEE Congress on Evolutionary Computation, CEC 2024

作者： Inokuchi, Yuto González, Pedro Henrique Mendonça, Israel Aritsugi, Masayoshi Graduate School of Science and Technology Kumamoto University Kumamoto Japan Federal University of Rio de Janeiro System Engineering and Computer Science Program Rio de Janeiro Brazil Kumamoto University Faculty of Advanced Science and Technology Kumamoto Japan

ISBN: (纸本)9798350308365

While Spatio-Temporal Graph Convolutional Networks (STGCNs) are an effective method for traffic speed fore-casting, their training and inference tend to be time-consuming. In this paper, we aim to refine these networks by strategically reducing their number of nodes, thereby boosting computational efficiency. The nodes in these graphs represent data observed for road segments, and by analyzing the interconnections and layout of the graph, we can identify nodes with minimal contribution to overall performance. Removing these nodes can potentially decrease computation time while maintaining the prediction accuracy. We employ the Biased Random-Key Genetic Algorithm (BRKGA) to identify a good set of nodes for removal, based on a predefined percentage reduction of the original graph size (e.g., retaining 95 % of the original graph). We evaluate different graph size configurations, ranging from 95 % to 70 % node retention, to determine the least impactful node set performance. Our experiments on three real-world datasets reveal that reducing nodes can decrease computation time by up to 29%, and as a byproduct of removing noise, even improve the prediction accuracy. © 2024 IEEE.

关键词： Genetic algorithms

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