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Experimental study of CO₂ utilization as a density modification agent for maximizing palm shells and kernels separation efficiency

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South African Journal of Chemical engineering 2022年 42卷 283-289页

作者： Muhammad, Muhammad Marwan, Marwan Munawar, Edi Zaki, Muhammad Doctoral Program School of Engineering Post Graduate Program Universitas Syiah Kuala Banda Aceh 23111 Indonesia Department of Chemical Engineering Faculty of Engineering Universitas Serambi Mekkah Banda Aceh 23245 Indonesia Department of Chemical Engineering Faculty of Engineering Universitas Syiah Kuala Banda Aceh 23111 Indonesia

In palm oil mills (POMs), the CO2 generated from palm oil processing activities is immediately discharged into the atmosphere, increasing greenhouse gases (GHGs) emissions. CO2 utilization can be viewed as a strategy ... 详细信息

In palm oil mills (POMs), the CO₂ generated from palm oil processing activities is immediately discharged into the atmosphere, increasing greenhouse gases (GHGs) emissions. CO₂ utilization can be viewed as a strategy for minimizing GHGs emissions and replacing CaCO₃, frequently used as a density modification agent in the POMs. This research aimed to formulate a novel separation fluid for separating palm shells and kernels by utilizing CO₂ as a density modification agent. Monoethanolamine (MEA) was selected as a chemical absorbent in this study. Chemisorption was applied to ensure that CO₂ was permanently absorbed into the solution. The MEA mass fraction was varied with ratios of 10, 20, 30, 40, and 50 % w/w. Then, the separation efficiency of the palm shells and kernels was measured by adding 15 % w/w of the mixture of palm shells and kernels into the formulated fluid. It was done based on the density difference between palm shells and kernels. The results showed that the optimal separation fluid density ranged between 1.1086 to 1.1777 g/cm³ at an MEA ratio of 30–50% w/w. It corresponds to the maximum separation efficiency of palm shells and kernels, which ranged from 97 to 100 %. This research indicated that CO₂ could be utilized as a density modification agent in the separation fluid. As a result, the formulated fluid was suitable for separating palm shells and kernels while also reducing GHG emissions in POMs by CO₂ utilization. © 2022

关键词： CO2 utilization Density modification agent GHGs emissions Palm shells–kernels separation Separation fluid

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Study on Suitable Management organizations to Promote Usage of Measurement Instruments Produced by University Research

Study on Suitable Management organizations to Promote Usage ...

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2023 Portland International Conference on Management of engineering and Technology, PICMET 2023

作者： Iritani, Miyako Eto, Manabu Ichikawa, Tagui Misawa, Kazuhiko Tokyo University of Agriculture and Technology Joint Doctoral Program for Sustainability Research Graduate School of Engineering Tokyo Japan Hitotsubashi University Institute of Innovation Research Tokyo Japan

ISBN: (纸本)9781890843434

There are the following three steps to increase users of cutting-edge measurement instruments produced by university research: (1) providing information on their use at scientific conferences, (2) conducting collaborative research between the developers and users of the instruments, and (3) providing a contract measurement service to researchers wanting to use the instruments as needed. This research study aims to determine the criteria for selecting suitable operating organization handling contract measurement service above when it is located within or outside the university. As model cases, we investigated the following two types of businesses that operate university-owned instruments to provide measurement results: shared-use facilities for industry-academia collaborations operated by universities (university organizations) and university-launched companies (companies) performing outsourced services under an instrument-use agreement with the universities. We interviewed three university organizations and three companies about their challenges and success points in managing their organizations. A comparison of the interviews revealed that 'maintenance of the organization,' 'hiring human resources,' and 'expanding customer base' are the criteria for selecting the two types of businesses. © 2023 PICMET (Portland International Center for Management of engineering and Technology(.

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View-Invariant Object Representation in Anterior and Posterior Inferotemporal Cortex: A Machine Learning Approach

SSRN

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SSRN 2025年

作者： Okamura, Jun-Ya Fukano, Daisuke Wang, Gang Information Science and Biomedical Engineering Program Graduate School of Science and Engineering Kagoshima University Kagoshima890-0065 Japan

Inferotemporal (IT) cortex is the final visual area in the ventral stream where object information is processed. Previous electrophysiological studies showed viewing angle tolerance of 30-60° of single IT cells to the objects experienced in discrimination at each of several viewing angles, and to the objects experienced in learning association of different views. IT is divided into anterior (cytoarchitectonic area TE) and posterior (TEO) parts. It was reported that single cells in area TE showed the viewing angle tolerance while those in area TEO did not. In the present study population activities were compared between cell populations in area TE and those in area TEO using machine learning algorithm. An object set consisted of four similar objects created by deforming a prototype object, and four views each separated by 30°. A population vector was created by aligning responses of the cells to each object image. A classifier was trained by support vector machine (SVM) to create a hyperplane that separated one object from the other three objects at the same viewing angles, and then tested by response vectors to the object images at different viewing angles. In area TE, dynamics of the performance evaluated by d’ showed viewing angle tolerance of 30-60° to the objects with prior experience in learning association of different views. In area TEO, populations of the cells did not show the viewing angle tolerance. Significant increase of the d’ values in area TE in the late time period for the objects with prior experience in learning association of different views may suggest view-invariance is more represented in late time period than early time period. These results suggest that viewpoint invariance is expressed more strongly in the TE region, providing new insights into the neural basis of object recognition © 2025, The Authors. All rights reserved.

关键词： Support vector machines

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Evaluation of negative stiffness mechanism on a pitch-type wave energy converter 33rd

Evaluation of negative stiffness mechanism on a pitch-type w...

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33rd International Ocean and Polar engineering Conference, ISOPE 2023

作者： Poguluri, Sunny Kumar Kim, Dongeun Bae, Yoon Hyeok Mechanical and System Design Engineering Hongik University Seoul Korea Republic of Multidisciplinary Graduate School program for Wind Energy Jeju National University Jeju Korea Republic of

ISBN: (纸本)9781880653807

The current study focuses on the application of the nonlinear negative stiffness mechanism to a Salter's duck, which is a well-known wave energy conversion (WEC) device known for its efficiency of 90% in 2D regular waves. Despite the proven efficiency of WEC devices, they face the challenge of producing a stable system that can effectively extract energy from constantly changing wave conditions. Recent studies have shown that the use of negative stiffness can address this issue, and this approach has been adopted in the present study for the pitch-type WEC-rotor (Salter’s duck). The study employed a time domain analysis based on linear potential theory to examine the impact of factors such as spring length and stiffness on wave energy extraction in both regular and irregular wave conditions. The results of the study showed that the incorporation of negative stiffness improves the extraction of wave energy. © 2023 by the International Society of Offshore and Polar Engineers (ISOPE).

关键词： Extraction

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Frequency-Voltage-var Function for VFD in Oil and Gas Platform with Wind Power 8

Frequency-Voltage-var Function for VFD in Oil and Gas Platfo...

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8th Southern Power Electronics Conference and the 17th Brazilian Power Electronics Conference, SPEC / COBEP 2023

作者： De Sousa Medeiros, Kassiane Da Rocha, Lorrana Faria Soares Callegari, João Marcus Brandão, Danilo Iglesias Universidade Federal de Minas Gerais Graduate Program in Electrical Engineering Belo Horizonte Brazil Norwegian University of Science and Technology Department of Electric Energy Trondheim Norway

ISBN: (纸本)9798350321128

Renewable energy resources emerge as a sustainable alternative to augmenting the energy supply of Floating Production Storage and Offloading (FPSO) platforms. However, the increased generation based on converter-interfaced energy decreases the system-equivalent inertia constant, which becomes more susceptible to frequency deviations. This paper proposes and evaluates the performance of the combined frequency-voltage-var control to mitigate frequency variation in a typical FPSO unit with penetration of wind power systems. The control functions are communication-free and embedded in two active front-end variable frequency drives (AFE- VFDs) set on water injection pumps. The FPSO's electrical power system model is developed in MATLAB/Simulink®. Comparative results with the AFE-VFD equipped with volt-var, freq-var, and combined freq-volt-var functions are shown to highlight the merits of the proposed solution. © 2023 IEEE.

关键词： Floating production storage and offloading freq-var control isolated power system power quality volt-var control

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The Bibliometric Analysis of Electricity Generation from Floating Solar

The Bibliometric Analysis of Electricity Generation from Flo...

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2023 International Conference on Power, Energy and Innovations, ICPEI 2023

作者： Jornsanoh, Narongsak Vorarat, Suparatchai Tantawat, Watcharapong Rittidatch, Prayuth Dhurakij Pundit University Graduate Program in Engineering Management Bangkok Thailand Tractebel Engineering Ltd. Renewable Energy Department Bangkok Thailand Dhurakij Pundit University Physical Management Division Bangkok Thailand

ISBN: (纸本)9798350344585

Floating solar systems are renewable energy technology in which the solar modules are not installed on the roof or the ground-mounted but rather float on water bodies. These are some advantages, particularly in areas with limited space. Compared to conventional solar power plants, floating modules have additional advantages, such as reducing the evaporation water losses and operating more efficiently, causing the temperature of solar modules to decrease. This research aimed to investigate previous journal articles, conference proceedings, and books from ScienceDirect, Scopus, and IEEE databases. Therefore, It spans ten years, beginning in 2013 and ending in 2023. The main keywords "Floating Solar,"Floating PV,"and "Floating photovoltaics,"which were analyzed using a bibliometric program and graphs, are used to present the results of their analysis. © 2023 IEEE.

关键词： Solar energy

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Multi-task Learning Graph Neural Networks for Cancer Prognosis Prediction with Genomic Data 46

Multi-task Learning Graph Neural Networks for Cancer Prognos...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Lin, Tsung-Wei Arriagada, Sofia Ormazabal Lin, Che Taiwan Taiwan International Graduate Program AIoT Ntu Taiwan Research Center for Information Technology Innovation Academia Sinica Taiwan Department of Electrical Engineering Ntu Taiwan Center for Advanced Computing and Imaging in Biomedicine Ntu Taiwan Smart Medicine and Health Informatics Program Ntu Taiwan

ISBN: (纸本)9798350371499

Providing robust prognosis predictions for cancers with limited data samples remains a challenge for precision oncology. In this study, we propose a novel approach that combines multi-task learning (MTL) and graph neural networks (GNNs) to address this issue. By representing gene-gene interactions as a graph network, our approach leverages multi-task learning to effectively capture the relationships of genes relevant to the oncogenesis and progression of breast, lung, and colon cancer. We demonstrate that our approach improves the cancer prognosis prediction for cancers with fewer samples, such as colon adenocarcinoma, by leveraging the shared gene-gene interactions across different cancer types, obtaining increases in the area under the precision-recall curve (AUPRC) of 24%. Our work contributes to the field of smart healthcare by demonstrating the potential of MTL and GNNs for enhancing cancer prognosis prediction, even with limited data samples. © 2024 IEEE.

关键词： Lung cancer

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One-dimensional Li_(3)VO_(4)/carbon fiber composites for enhanced electrochemical performance as an anode material for lithium-ion batteries

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Journal of Materials Science & Technology 2023年第9期140卷 142-152页

作者： Jungwook Song Achmad Yanuar Maulana Woojin Jae Hyunjeong Gim Boram Yun Cybelle M.Futalan Jongsik Kim Department of Chemistry Dong-A UniversityBusan 49315South Korea Department of Chemical Engineering(BK21 FOUR Graduate Program) Dong-A UniversityBusan 49315South Korea Department of Community and Environmental Resource Planning University of the Philippines Los BañosLos BañosLaguna 4031Philippines

Lithium vanadium oxide(Li_(3)VO_(4))has gained attention as an alternative anode material because of its higher theoretical capacity(592 mAh g^(−1)),moderate ionic conductivity(∼10^(−4)S cm^(−1)),and lower working voltage range(∼0.5–1.0 V ***/Li^(+))in comparison to other metal ***,there are disadvantages to using Li_(3)VO_(4)as an anode material,such as low initial Coulombic efficiency and poor rate performance that is attributed to its low electronic conductivity(<10^(−1)0 S cm^(−1)).In the present study,the synthesis of one-dimensional Li_(3)VO_(4)electrode was performed via a facile method by using oxidized vapor grown carbon fiber as a template and the formation of the outer shells of conductive carbon via chemical vapor deposition *** a half-cell configuration,the prepared Li_(3)VO_(4)composites exhib-ited an enhanced electrochemical performance with a reversible capacity of 516.2 mAh g^(−1)after 100 cycles at a rate of 0.5 C within the voltage range of 0.01–3.0 *** a high rate of 5 C,a large reversible capacity of 322.6 mAh g^(−1)was also observed after 500 *** full cell(LVO/VGCF16-C||LiCoO_(2))using LiCoO_(2)as the cathode showed competitive electrochemical performance,which demonstrates its high potential in commercial applications.

关键词： Lithium-ion batteries Anode materials Lithium vanadium oxide One-dimensional electrode Carbon fiber

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Real-Time Hand Gesture Recognition for Humanoid Robot Control Using Python CVZone 7th

Real-Time Hand Gesture Recognition for Humanoid Robot Contro...

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7th International Conference on Smart City Applications, SCA 2022

作者： Baihaqi, Muhammad Yeza Vincent Simatupang, Joni Welman Graduate Institute of Automation and Control College of Engineering National Taiwan University of Science and Technology Taipei Taiwan School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia Study Program of Electrical Engineering President University Bekasi Indonesia

ISBN: (纸本)9783031268519

Humanoid robot is able to mimic repetitive activities done by human. By having them, humans can focus on tasks that require extra focus, while leaving the simple one to be done by humanoid robot. To extend the functionality of the 3D-printed upper-body humanoid robot, a camera along with a machine learning algorithm is implemented. In this case, their responses can be categorized based on the gesture it sees. In this paper, the authors evaluate the performance of an upper-body humanoid robot that implements CVZone. The method of evaluation is conducted under three different distances, and each distance has three different brightness levels. It is found that the success rate is highest at the shortest distance which is 50 cm, and under medium-lighted environment. As the distance increases, the hand gesture gets harder to differentiate. At the same time, low or high brightness environment makes the image that contain hand gesture hard to interpret, thus lowering the success rate. Finally, hand gesture that involves third and little finger has the lowest success rate of 75%, while the movement that involves three fingers simultaneously has the second lowest success rate of 80.9%. Meanwhile, simple hand gesture such as clenched-fist or lifting a thumb has 100% success rate under all condition. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Anthropomorphic robots

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Understanding bark thickness variations for Araucaria angustifolia in southern Brazil

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Journal of Forestry Research 2021年第3期32卷 1077-1087页

作者： Emanuel Arnoni Costa Veraldo Liesenberg César Augusto Guimaraes Finger AndréFelipe Hess Cristine Tagliapietra Schons Graduate Program in Forest Engineering Santa Catarina State University(UDESC)LagesSC 88520-000Brazil Department of Forest Engineering Federal University of Uberlandia(UFU)Monte CarmeloMG 38500-000Brazil Graduate Program in Forest Engineering Federal University of Santa Maria(UFSM)Santa MariaRS 97105-900Brazil Graduate Program in Agroecosystems Federal Technological University of Parana(UFTPR)Dois VizinhosPR 85660-000Brazil

This study aimed to understand bark thickness variations of Araucaria angustifolia(Bertol.)Kuntze trees growing in natural forest remnants in southern Brazil,and their relationship with quantitative and qualitative *** thickness must be accurately estimated in order to determine timber volume *** is an important variable for the sustainable management and conservation of araucaria *** spite of its importance and visibility,bark thickness variations have not been evaluated for this key species in southern Brazil.A total of 104 trees were selected,and their qualitative and quantitative attributes such as diameter at breast height(D_(BH)),height(H),crown base height(C_(BH)),crown length(C_(L)),social position(S_(P)),stoniness(S_(T)),position on the relief(P_(R)),vitality(V_T)and branch arrangement(B_(A))were *** trees were categorized into two groups:red bark or gray *** analysis and artificial neural networks(ANN)were used for modelling bark *** results indicate that:(1)bark thickness showed good correlation to D_(BH),with 0.76 as coefficient of determination(RS_P),0.540 as Mean Absolute Error(M_(AE))and 22.4 root-meansquare error in percentage(R_(MSE%));(2)the trend changed according to bark colour,with significant differences for the intersection(_0–Pr>F:p=0.0124)and slope(β_(1)–Pr>F:p=0.0126)of bark thickness curves between groups;(3)the highest correlation of bark thickness was found with:D_(BH)(ρ=0.88),H(ρ=0.58),C_(BH)(ρ=0.46),S_(P)(ρ=-0.52),and B_(A)(ρ=-0.32);(4)modelling with ANN confirmed high adjustment(R^(2)=0.99)and accuracy(R_(MSE%)=3.0)of the *** is an efficient and robust technique for the modelling of various qualitative and quantitative attributes commonly used in forest *** effective use of ANN to estimate araucaria bark in natural forests reinforces its potential,besides the possibility of application for other forest species.

关键词： Dendrometry attributes Crown characteristics Prediction models Bark factor Parana-pine

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