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Activation of Coconut Shell - Randu Wood Biochar and Its Use as Heterogeneous Catalyst Support for Biodiesel Production

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IOP Conference Series: Materials Science and engineering 2019年第1期543卷

作者： Y S Pradana N Rochim H S Mukaffa H B Satriawan A Hidayat A Budiman Chemical Engineering Department Faculty of Engineering Universitas Gadjah Mada Jalan Grafika No. 2 Yogyakarta 55281 Indonesia Chemical Engineering Department Faculty of Industrial Technology University of Islam Indonesia Jalan Kaliurang KM 145 55584 Yogyakarta Indonesia Master Program of Systems Engineering Universitas Gadjah Mada Jalan Teknika Utara 3 Yogyakarta Indonesia

In the last decade, biodiesel has been considered as one of attractive biofuels in function of replacing fossil-based diesel fuel and concerning on reduction of greenhouse gas release. For biodiesel production, the use of heterogeneous catalyst is a challenge to minimize problems related to the use of homogeneous catalyst. One of potential heterogeneous catalyst is activated carbon-based catalyst. This study investigated the effect of activating agents (hydrochloric acid and sulfuric acid), its concentration (0.5, 1.0, 1.5 and 2.0 N) and activation time (1.5, 3.0, 4.5 and 6.0 h) on iodine number of activated biochar (from coconut shell and Randu wood). The results showed that the highest iodine number (749.14 mg/g) was obtained from coconut shell biochar activated by sulfuric acid at concentration of 2 N and activation time of 6 h. Moreover, BET analysis of the best activated biochar resulted 30.88 m2/gcat of surface area, 3.26 x 10−2 cm3/g of total pore volume and 2.11 nm of average pore radius. The performance test of this potassium-impregnated activated biochar in batch transesterification reaction (palm oil-methanol) presented 29.44 % of biodiesel conversion.

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Vibration-based classification of road damages: gyroscope data and a simple neural network model

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IOP Conference Series: Earth and Environmental Science 2018年第1期195卷

作者： Fergyanto E. Gunawan Herriyandi Benfano Soewito Tuga Mauritsius Nico Surantha Industrial Engineering Department BINUS Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480

A system for automatic detection of road damages is essential for logistics management. At the core of the system lies an algorithm for classification of damages. This work intends to establish such an algorithm. In the current proposal, the algorithm receives data of the probe vehicle rate of rotations, extracts statistics descriptive from the data to produce a feature vector, and finally, feeds the vector to a simple-three-layer neural network to classify the damages. The types of damages are limited to four cases: normal, pothole, speed bump, and expansion joint. For the development, a probe vehicle is used to produce 400 empirical data involving those four damage cases. By using Monte Carlo approach, the established neural network model is evaluated. The results show that the approach is able to classify the cases with 85% accuracy. The study also finds that the rates of pitch and roll to be the determining factors.

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On Linear Clustering with Constraints on Cluster Size

On Linear Clustering with Constraints on Cluster Size

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International Symposium on Advanced Intelligent systems

作者： Naoya Kimoto Yasunori Endo Master’s Program in Risk Engineering University of Tsukuba 1-1-1 Tennodai Tsukuba Ibaraki Japan Faculty of Engineering Information and Systems University of Tsukuba 1-1-1 Tennodai Tsukuba Ibaraki Japan

ISBN: (纸本)9781538626344;9781538626337

Clustering is unsupervised classification method in the field of machine learning. c-varieties (CV) and c-regression (CR) are linear clustering that can find linear structures of a dataset. CV and CR are clustering algorithms that perform principal component analysis and regression analysis at the same time, respectively. By the way, when clustering is used in the actual society, there are situations where the number of objects in each cluster is restricted. In this paper, we propose new linear clustering algorithms with constraints on cluster size.

关键词： Clustering Linear structure Constraints on cluster size

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Aggregation of two-dimensional composite grains due to self-gravitation

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AIP Conference Proceedings 2020年第1期2219卷

作者： S. Viridi F. F. Florena F. Faizal A. Suroso Nurhasan Y. Bindar 1Nuclear Physics and Biophysics Institut Teknologi Bandung Bandung 40132 Indonesia 2Master Program in Physics Institut Teknologi Bandung Bandung 40132 Indonesia 3Nanotechnology and Graphene Research Center Universitas Padjadjaran Sumedang 45363 Indonesia 4Theoretical High Energy Physics Institut Teknologi Bandung Bandung 40132 Indonesia 5Physics of Earth and Complex Systems Institut Teknologi Bandung Bandung 40132 Indonesia 6Energy and Processing System of Chemical Engineering Institut Teknologi Bandung Bandung 40132 Indonesia

Binding force in the form of spring force binds two adjacent spherical grains and based on this interaction various structures of composite particles can be constructed. In this work only composite particles up to N = 4 are discussed, where N is number of spherical grains in a composite particle, and the forms are limited to the two-dimensional cases only. There is only one structure of composite particle for each value of N for 1 < N ≤ 2. For N = 3 there are five structures and for N = 4 there are fifteen structures. Between spherical grains from different composite particles only two types of force are considered. The first is a long-range attractive force in the form of gravitation force and the last is a short-range repulsion force in the form of normal force. The first type of force will help the aggregation process, while the second will prevent two spherical grains to collapse into a single grain due to the first. It is observed that the time required to produce the compact aggregate or T is dependent on N, where larger N makes larger T.

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Study of waste management towards sustainable green campus in Universitas Gadjah Mada

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Journal of Physics: Conference Series 2018年第1期1022卷

作者： Mega Setyowati Arif Kusumawanto Agus Prasetya Master Program of Systems Engineering Faculty of Engineering Universitas Gadjah Mada Architecture and Planning Engineering Department Faculty of Engineering Universitas Gadjah Mada Department of Chemical Engineering Faculty of Engineering Universitas Gadjah Mada

Waste management is a part of the green campus achievement program. Universitas Gadjah Mada has a Standard Operating Procedure for managing produced waste. Waste produced by each building or work unit is temporarily accommodated in the waste depot before dumped into the landfill. This research aims to study the waste management system in UGM, in accordance with the concept of a green campus. The concept of green campus to improve the efficiency of waste management needs to be supported by various parties. The success of the green campus program relies on an integrated approach, a sustainable implementation that involves stakeholders of the university. In actualizing the concept of a green campus, the university has its own waste processing system. The organic produced waste is processed into compost, while plastic waste is converted into alternative fuel. Overall, the waste management system that UGM owns is ineffective and inefficient, it was proved by the fact that there is still much waste dumped into the landfill. UGM provides a laboratory that is specialized to process waste that is produced by UGM. It is planned to be able to reduce the amount of waste that is dumped into the landfill. According to the results, vermicomposting technology, the manufacture of liquid fertilizer from leachate, and the manufacture of the composite from a mixture of leaves and paper were offered as solutions.

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Evaluation of Lower-Limb Rehabilitation Based on Muscle Fatigue

Evaluation of Lower-Limb Rehabilitation Based on Muscle Fati...

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IEEE International Symposium on Industrial Electronics

作者： Juan Zhao Jinhua She Dianhong Wang Edwardo F. Fukushima Min Wu Hiroshi Hashimoto School of Engineering Tokyo University of Technology Hachioji Tokyo Japan School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Master Program of Innovation for Design & Engineering Advanced Institute of Industrial Technology Tokyo Japan

The purpose of this study was to investigate the features of muscle fatigue extracted from surface electromyography (sEMG) signals of lower limbs, and then to present an evaluation method of lower-limb rehabilitation to provide physical basis for the training effect of rehabilitation. Four healthy young university students were invited to perform a pedaling exercise for 40 days. The sEMG signals of four lower-limb muscles are recorded and processed using a Butterworth filter and a Daubechies 10 wavelet. Then, the change of the ratios of the spectrums of Types I and II muscle fibers to the total number of the spectrum along the exercise are examined. The time of the first intersection of the ratios for Types I and II for each muscle is used as a performance index. The increase in the time at the beginning and the end of the training period indicates the improvement of motor function, and thus it verifies the effectiveness of the rehabilitation.

关键词： SEMG Muscle fatigue Rehabilitation evaluation Unequal length segmentation

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Biodiesel production in a reactive distillation column catalyzed by heterogeneous potassium catalyst

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Energy Procedia 2017年 143卷 742-747页

作者： Yano Surya Pradana Arif Hidayat Agus Prasetya Arief Budiman Chemical Engineering Department Faculty of Engineering Universitas Gadjah Mada Jalan Grafika No. 2 Yogyakarta 55281 Indonesia Chemical Engineering Department University of Islam Indonesia Jalan Kaliurang KM. 14 5 Yogyakarta 55584 Indonesia Master Program of Systems Engineering Universitas Gadjah Mada Jalan Teknika Utara No. 3 Yogyakarta 55281 Indonesia

Biodiesel is a bio-based fuel synthesized from a renewable feedstocks, such as vegetable oils or animal fats. Conventionally, it is made through transesterificating oils where the process involves catalyst and alcohol to be reacted in batch reactor. The most common catalyst for biodiesel production is homogeneous liquid catalyst. These catalytic systems, however, are difficult on separating the final product and suffer from environmental problems because they are hazardous, caustic and hygroscopic. In order to eliminate the problems, we develop potassium loaded on activated carbon (K/AC) as heterogeneous solid catalyst. Heterogeneous solid catalyst is easily regenerated, leading to more secure, lower in cost, and more environmentally friendly. The purpose of this study is to demonstrate a process using catalytic reactive distillation column applied to biodiesel production from palm oil. Reactive distillation is the simultaneous process implementing reaction and separation process in a single column. This method presents several advantages such as increasing conversion, improving selectivity, reducing catalyst requirement, and avoidance azeotrope mixture. Reaction temperature (varied from 50 to 60 ° C) and methanol-palm oil molar ratio (varied from 4:1 to 8:1) were optimized to find the highest conversion in 4 hours. The higher reaction temperature accelerated the reaction rate, resulting higher conversion of oil into methyl ester. Meanwhile, the higher methanol-palm oil molar ratio affected slightly differences in reaction conversion. Reaction temperature should be limited to the boiling point of methanol to avoid the lower reaction rate causing by vaporization. Moreover, the methanol-palm oil molar ratio was also controlled by the availability of active site in the catalyst surface. Thus, the highest conversion of triglyceride, 0.8269, was obtained at temperature of 60 ° C and methanol-palm oil molar ratio of 6:1. It has proven that the continuous RD posses an enha

关键词： biodiesel reactive ditillation column heterogeneous potassium catalyst potassium loaded on activated carbon

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Potassium recovery from banana peels by hydrothermal treatment

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AIP Conference Proceedings 2018年第1期2026卷

作者： Mustaqim Mustaqim Chandra Wahyu Purnomo Rochim Bakti Cahyono 1Master Program of Systems Engineering Universitas Gadja Mada Yogyakarta Indonesia 2Chemical Engineering Department Universitas Gadja Mada Yogyakarta Indonesia 3Agrotechnology Innovation Center PIAT-UGM Sleman Yogyakarta Indonesia

Banana peels is a material that can be used as a potassium source for organic fertilizer. Potassium fertilizer has a role in improving plants productivity. This research aims to determine the effect of hydrothermal temperature on the potassium concentration in hydrothermal liquid product and to find out the potential of zeolite in adsorbing potassium from the solution. Thus, there were two stage of experiment of potassium recovery here i.e. potassium extraction process from banana peel waste by a hydrothermal treatment in various temperature (150, 175 and 200°C) for 1 hour and the adsorption process of potassium in the liquid product by adding zeolite for 24 hours. The result shows that higher treatment temperature of will produce higher concentration of potassium in the solution while the highest potassium uptake is using 40 g of natural zeolite in 50 ml hydrothermal liquid product with the recovery is about 94%.

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Author Correction: Brain clocks capture diversity and disparities in aging and dementia across geographically diverse populations

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Nature medicine 2024年第12期30卷 3779页

作者： Sebastian Moguilner Sandra Baez Hernan Hernandez Joaquín Migeot Agustina Legaz Raul Gonzalez-Gomez Francesca R Farina Pavel Prado Jhosmary Cuadros Enzo Tagliazucchi Florencia Altschuler Marcelo Adrián Maito María E Godoy Josephine Cruzat Pedro A Valdes-Sosa Francisco Lopera John Fredy Ochoa-Gómez Alfredis Gonzalez Hernandez Jasmin Bonilla-Santos Rodrigo A Gonzalez-Montealegre Renato Anghinah Luís E d'Almeida Manfrinati Sol Fittipaldi Vicente Medel Daniela Olivares Görsev G Yener Javier Escudero Claudio Babiloni Robert Whelan Bahar Güntekin Harun Yırıkoğulları Hernando Santamaria-Garcia Alberto Fernández Lucas David Huepe Gaetano Di Caterina Marcio Soto-Añari Agustina Birba Agustin Sainz-Ballesteros Carlos Coronel-Oliveros Amanuel Yigezu Eduar Herrera Daniel Abasolo Kerry Kilborn Nicolás Rubido Ruaridh A Clark Ruben Herzog Deniz Yerlikaya Kun Hu Mario A Parra Pablo Reyes Adolfo M García Diana L Matallana José Alberto Avila-Funes Andrea Slachevsky María I Behrens Nilton Custodio Juan F Cardona Pablo Barttfeld Ignacio L Brusco Martín A Bruno Ana L Sosa Ortiz Stefanie D Pina-Escudero Leonel T Takada Elisa Resende Katherine L Possin Maira Okada de Oliveira Alejandro Lopez-Valdes Brian Lawlor Ian H Robertson Kenneth S Kosik Claudia Duran-Aniotz Victor Valcour Jennifer S Yokoyama Bruce Miller Agustin Ibanez Latin American Brain Health Institute Universidad Adolfo Ibañez Santiago de Chile Chile. Cognitive Neuroscience Center Universidad de San Andrés Buenos Aires Argentina. Department of Neurology Massachusetts General Hospital and Harvard Medical School Boston MA USA. Universidad de los Andes Bogota Colombia. Global Brain Health Institute (GBHI) University of California San Francisco CA USA. Global Brain Health Institute (GBHI) Trinity College Dublin Dublin Ireland. The University of California Santa Barbara (UCSB) Santa Barbara CA USA. Escuela de Fonoaudiología Universidad San Sebastián Santiago de Chile Chile. Grupo de Bioingeniería Decanato de Investigación Universidad Nacional Experimental del Táchira San Cristóbal Venezuela. Advanced Center for Electrical and Electronic Engineering Universidad Técnica Federico Santa María Valparaíso Chile. University of Buenos Aires Buenos Aires Argentina. The Clinical Hospital of Chengdu Brain Sciences Institute University of Electronic Sciences and Technology of China Chengdu China. Technology of China Chengdu China. Cuban Neuroscience Center La Habana Cuba. Grupo de Neurociencias de Antioquia (GNA) University of Antioquia Medellín Colombia. Department of Psychology Master Program of Clinical Neuropsychology Universidad Surcolombiana Neiva Neiva Colombia. Department of Psychology Universidad Cooperativa de Colombia Arauca Colombia. Neurocognition and Psychophysiology Laboratory Universidad Surcolombiana Neiva Colombia. Reference Center of Behavioural Disturbances and Dementia School of Medicine University of Sao Paulo Sao Paulo Brazil. Traumatic Brain Injury Cognitive Rehabilitation Out-Patient Center University of Sao Paulo Sao Paulo Brazil. Center for Social and Cognitive Neuroscience School of Psychology Universidad Adolfo Ibáñez Santiago Chile. Neuropsychology and Clinical Neuroscience Laboratory (LANNEC) Physiopathology Program-Institute of Biomedical Sciences (ICBM) Neuroscience and East Neuroscience Dep

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The effect of temperature and biomass pre-treatment on non-catalytic gasification of Indonesian sugarcane bagasse

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AIP Conference Proceedings 2018年第1期2026卷

作者： Aldillah Herlambang Shafwan Amrullah Daniyanto Daniyanto Yano Surya Pradana Rochmadi Arief Budiman 1Chemical Engineering Department Faculty of Engineering Universitas Gadjah Mada Jalan Grafika 2 Yogyakarta 55281 Indonesia 2Polytechnic of LPP - Plantation Training Institute Yogyakarta Indonesia 3Master Program of Systems Engineering Faculty of Engineering Universitas Gadjah Mada Jalan Teknika Utara No. 3 Yogyakarta 55281 Indonesia 4Center for Energy Studies Universitas Gadjah Mada Sekip K1A Yogyakarta 55281 Indonesia

Sugarcane bagasse (SCB) gasification is a promising method that used in energy generation field. The impurities of SCB such as moisture content, ash and volatile maters will disturb the gasification process and decrease yield and quality of syngas. Pre-treatment, such as pelleting and torrefaction, can be applied on SCB to improve gasification performance in a gasifier. The aims of this experiment were to study non-catalytic gasification of Indonesian SCB for syngas production in a downdraft gasifier. This experimental investigation was focused on gasification temperature effect (800, 950 and 1050°C) and pre-treatment methods (pelleting and torrefaction) of Indonesian SCB on carbon conversion efficiency (CCE), syngas volumetric percentage and lower heating value (LHV). The result showed that the highest CCE was 88.16%, obtained at 1050°C of torrefied SCB gasification. Meanwhile, the highest LHV of syngas was 4.48 MJ/Nm3, obtained at 1050°C of pelletized SCB gasification.

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