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5th ISSNIP - IEEE Biosignals and Biorobotics Conference, BRC 2014

作者： Benevides, Alessandro Botti Atencio, Anibal Cotrina Castillo, Javier Filho, Teodiano Freire Bastos Benevides, Alessander Botti Electrical Engineering Post-Graduate Program Federal University of Espirito Santo Vitória Espírito Santo 29075-910 Brazil ICT Doctoral School University of Trento Trento Trentino 38123 Italy

ISBN: (纸本)9781479956890

This paper presents an Ethernet sniffer programmed in ANSI C to export in an on-line way the electroencephalographic (EEG) data acquired with the device BrainNet36®, which is a Brazilian EEG device for clinical and polysomnography purposes. The sniffer proved to be useful for off-line analysis of the EEG and also for on-line applications, as Brain Computer-Interfaces (BCIs). Despite its limitations and packet losses at around 1.7% due to noise, the off-line analysis of the EEG successfully replicated results of the literature regarding the Event-Related (De)Synchronization (ERD/ERS) and Evoked Potentials (EPs) calculated for mental tasks. For on-line applications the sniffer was used to program a single-switch BCI for on-line classification of motor and no motor mental tasks with high success rate. Nowadays, the BrainNet36® device is being used for EEG research at many Brazilian universities, therefore, we hope that this article may encourage on-line applications. Finally, as the sniffer operation is explained here with examples, this text may serve as a reference guide for potential user's. © 2014 IEEE.

关键词： Brain computer interface

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On Max Pressure Urban Traffic Control with Learning 9

On Max Pressure Urban Traffic Control with Learning

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9th IEEE Information Technology International Seminar, ITIS 2023

作者： Putri, Adiyana Joelianto, Endra Sutarto, Herman Y Doctoral Program of Engineering Physics Faculty of Industrial Technology Institut Teknologi Bandung Bandung Indonesia Instrumentation and Control Research Group Faculty of Industrial Technology Institut Teknologi Bandung Bandung Indonesia Bandung Indonesia

ISBN: (纸本)9798350306835

Managing the traffic system is a multifaceted challenge, imposing various solutions to prevent congestion. Traffic management aims to create an efficient control system with numerous advantages, including reduced fuel emissions, lower stress levels, and enhanced driving discipline. Max Pressure stands as one of the techniques for traffic control, designed to adapt and enhance network throughput by considering pressure, defined as the difference between upstream and downstream queue lengths. Recent developments have yielded improved performance in Max Pressure through learning. In this adaptive control mechanism, the concept of Max Pressure is integrated as a reward function within reinforcement learning. This study introduces the "Max Pressure learning"concept, revealing its potential for creating adaptable traffic controllers. By modifying the pressure equation and transforming it into a performance metric, the original Max Pressure concept effectively responds to diverse traffic conditions. This paper showcases research findings demonstrating the surprising effectiveness of pressure as a control mechanism in the context of the learning process. Ultimately, using pressure enables controllers to efficiently alleviate gridlock situations in traffic, highlighting its promising role in optimizing traffic management and enhancing overall traffic system performance. © 2023 IEEE.

关键词： Traffic congestion

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Enhancing the yield and quality of Kemiri Sunan crude oil by preliminary extraction of feedstock 3

Enhancing the yield and quality of Kemiri Sunan crude oil by...

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3rd International Conference on Chemical and Material engineering, ICCME 2018

作者： Supriyadi, S. Purwanto, P.P. Hermawan, H. Doctoral Program of Environmental Science School of Postgraduate Studies Diponegoro University Semarang Indonesia Department of Mechanical Engineering Universitas PGRI Semarang Semarang Indonesia Department of Chemical Engineering Faculty of Engineering Diponegoro University Semarang Indonesia Department of Electrical Engineering Faculty of Engineering Diponegoro University Semarang Indonesia

Biodiesel is an alternative fuel produced by chemical reaction between vegetable oil or animal fat with alcohol and catalyst. The preliminary treatment in extraction of biodiesel feedstock is an important process to obtain maximum yield of crude oil. This study aims to find optimal preliminary treatment on extraction of Kemiri Sunan seed in order to produce crude oil with maximum yield and quality. The research investigated the effects of screw press machine rotation and duration of steaming process. Three levels of duration of steaming used were 30, 60 and 90 minutes. Observations of crude oil yield, moisture content, free fatty acid content, kinematic viscosity, density and color were done. The result suggested that the rotation of screw press machine affected the crude oil yield. The duration of steaming process affected the oil yield, free fatty acid content, kinematic viscosity, density and color. The best oil yield result of 70.3% was obtained from the combination of heating duration of 60' and screw rotation of 25 RPM. © 2019 Published under licence by IOP Publishing Ltd.

关键词： Biodiesel

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Multi-channel Convolutional Neural Network for Hate Speech Detection in Social Media 9th

Multi-channel Convolutional Neural Network for Hate Speech D...

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9th EAI International Conference on Advancement of Science and Technology, ICAST 2021

作者： Abebaw, Zeleke Rauber, Andreas Atnafu, Solomon IT Doctoral Program Addis Ababa University Addis Ababa Ethiopia Institute of Information Systems Engineering Technical University of Vienna Vienna Austria Department of Computer Science Addis Ababa University Addis Ababa Ethiopia

ISBN: (纸本)9783030937089

As online social media content continues to grow, so does the spread of hate speech. Hate speech has devastating consequences unless it is detected and monitored early. Recently, deep neural network-based hate speech detection models, particularly conventional single-channel Convolutional Neural Network (CNN), have achieved remarkable performance. However, the effectiveness of the models depends on the type of language they are trained on and the training data size. We argue that the effectiveness of the models could further be enhanced if we use multi-channel CNN models even for under-resourced languages that have limited training data size. This is because the single-channel CNN might fail to consider the potential effect of multiple channels to generate better features, which is not well investigated for hate speech detection. Therefore, in this work, we explore the use of multi-channel CNN to extract better features from different channels in an end-to-end manner on top of a word2vec embedding layer. Tested on a new small-scale Amharic hate speech dataset containing 2000 annotated social media comments, the experimental results show that the proposed multi-channel CNN model outperforms the single-channel CNN models but underperform from the baseline Support Vector Machine (SVM) with an average F-score of 81.3%, 78.2%, and 92.5% respectively. The finding of the study implies that the proposed MC-CNN model can be used as an alternative solution for hate speech detection using a deep learning approach when dataset scarcity is an issue. © 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering.

关键词： Embeddings

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Enhancing Biodiesel from Kemiri Sunan Oil Manufacturing using Ultrasonics 2

Enhancing Biodiesel from Kemiri Sunan Oil Manufacturing usin...

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2nd International Conference on Energy, Environmental and Information System, ICENIS 2017

作者： Supriyadi, Slamet Purwanto, Purwanto Anggoro, Didi Dwi Hermawan Doctoral Program of Environmental Science School of Postgraduate Studies Diponegoro University Semarang Indonesia Department of Mechanical Engineering Universitas PGRI Semarang Semarang Indonesia Department of Chemical Engineering Faculty of Engineering Diponegoro University Semarang Indonesia Department of Electrical Engineering Faculty of Engineering Diponegoro University Semarang Indonesia

Kemiri Sunan (Reutalis trisperma (Blanco) Airy Shaw) is a potential plant to be developed as biodiesel feedstock. The advantage of Kemiri Sunan seeds when compared to other biodiesel raw materials is their high oil content. This plant is also very good for land conservation. Due the increasingly demand for biodiesel, research and new methods to increase its biodiesel production continue to be undertaken. The weakness of conventional biodiesel manufacturing process is in the mixing process in which mechanical stirring and heating in the trans-esterification process require more energy and a longer time. A higher and stronger mixing process is required to increase the contact area between the two phases of the mixed substance to produce the emulsion. Ultrasonic is a tool that can be useful for a liquid mixing process that tends to be separated. Ultrasonic waves can cause mixing intensity at the micro level and increase mass transfer, so the reaction can be performed at a much faster rate. This study is to figure out the effect of ultrasonic irradiation on the transesterification process of biodiesel from Kemiri Sunan Oil. © 2018 The Authors, published by EDP Sciences.

关键词： Biodiesel

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Effect of the Amount of 3-(trimethoxysilyl) propyl methacrylate on Improving Surface's Adhesive Properties of Zirconia 13

Effect of the Amount of 3-(trimethoxysilyl) propyl methacryl...

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13th International Physics Seminar 2024, IPS 2024

作者： Triastuti, Warlinda Eka Sumarno Suprapto Airlangga, Bramantyo Doctoral Program Chemical Engineering Department Institut Teknologi Sepuluh Nopember Surabaya60111 Indonesia Chemical Engineering Department Institut Teknologi Sepuluh Nopember Surabaya60111 Indonesia Industrial Chemical Engineering Department Institut Teknologi Sepuluh Nopember Surabaya60111 Indonesia

The objective of this research was silanize zirconium oxide (ZrO2) nanoparticles with 3-(trimethoxysilyl) propyl methacrylate (γ-MPS). Silanization is a surface treatment process of a material using silane compounds to improve the surface adhesive and compatibility of ZrO2 with other materials or coatings and to modify its surface. The surface modification of ZrO2 by 3-(trimethoxysilyl) propyl methacrylate as coupling agents under the influence of ultrasonic waves. The silanized ZrO2 was characterized Fourier Transform Infrared Spectroscopy (FTIR) and thermogravimetric analysis (TGA). The FTIR analysis indicated the interaction of the silane compound on the ZrO2 surface, showing characteristic peaks corresponding to Zr-OH, C-H stretching, carbonyl groups, and Zr-O-Si bonds, indicating successful grafting. The FTIR spectra for the ZrO2 nanoparticles, showing peaks at 1088 cm-1 showed the formation of Zr-O-Si covalent bonds. ZrO2 nanoparticles also exhibited a characteristic peak at 400 cm-1, indicating the deformation of Zr-O-Zr bonds. C=C, and C=O peaks are observed in the range of 1632-1714 cm-1. Thermogravimetric analysis (TGA) measures showed a higher weight loss of the silanized ZrO2 when higher amounts of silane were added. © Published under licence by IOP Publishing Ltd.

关键词： Zirconia

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Hydrogel derived from water hyacinth and pectin from banana peel as a membrane layer

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Materials Today: Proceedings 2023年 87卷 13-17页

作者： Elma M. Kadek Devi Ananda Saraswati N. Fransiska Afrida Simatupang P. Febriyanti R. Rahma A. Mustalifah F.R. Chemical Engineering Department Engineering Faculty Lambung Mangkurat University Jl A. Yani Km 36 Banajrbaru 70714 South Kalimantan Indonesia Magister Program of Chemical Engineering Faculty of Engineering Lambung Mangkurat University Jl. A. Yani KM 36 Banjarbaru 70714 Indonesia Doctoral Program of Environemntal Science Postgraduate Program Lambung Mangkurat University Jl Brigjen H. Hasan Basri Kayutangi Banjarmasin 70123 South Kalimantan Indonesia ReG) Lambung Mangkurat University Jl. A. Yani KM 36 Banjarbaru 70714 Indonesia

Hydrogels is a unique material that affordable to apply as a membranes layer. In tropical country, such as Indonesia there is easily found water hyacinth (a weed plant) which is potentially used for hydrogels materials fabrication due to high cellulose content. Carboxymethyl cellulose (CMC) from water hyacinth cellulose and banana peels pectin are used to produce hydrogel for ultrafiltration membrane. The aims of this study are to characterize the functionalization of CMC-pectin membrane with different ratio using Fourier transform infrared spectroscopy (FTIR) and to determines the morphology of its membranes structure. The CMC was synthesized from water hyacinth stems through carboxymethylation. The functionalization group of multiple CMC-pectin membrane ratio is domination with carboxyl group (COO-), carbonyl stretching and carbon group. Meanwhile, CMC-pectin 70:30 wt% ratio displays not smooth structure. There is a water hyacinth stems extracted cellulose fibre on the surface of hydrogel CMC:pectin membrane. In other hand, the addition of pectin in all ratio variation exhibit increasing contact angle number from 63.98° to 68.16° (0-30 wt% pectin). The existence of pectin from banana peels on hydrogel membranes contributes to increase hydrophobicity of hydrogel-membrane, in spite of the contact angle value is below than 90°. 2023 The Authors. All rights reserved.

关键词： Carboxymethylcellulose Hydrogel Membrane Peat water Pectin Water hyacinth

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Contribution of Manggarai gate improvement to flood in Manggarai Village based on recorded flood event 5

Contribution of Manggarai gate improvement to flood in Mangg...

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5th International Seminar on Sustainable Urban Development, ISoSUD 2020

作者： Kesuma, T.N.A. Saputra, D. Farid, M. Kusuma, M.S.B. Kuntoro, A.A. Civil Engineering Doctoral Program Faculty of Civil and Environmental Engineering Bandung Institute of Technology Jawa Barat Bandung Indonesia Civil Engineering Master Program Faculty of Civil and Environmental Engineering Bandung Institute of Technology Jawa Barat Bandung Indonesia Water Resources Engineering Research Group Faculty of Civil and Environmental Engineering Bandung Institute of Technology Jawa Barat Bandung Indonesia Center for Coastal and Marine Development Institut Teknologi Bandung Jawa Barat Bandung Indonesia

Manggarai Gate is one of the most important flood control structures of the Jakarta Flood Control System. Its performance capacity is a compulsory parameter for flood risk reduction of the Jakarta Flood Prone Area. This paper aims to evaluate the contribution of the capacity improvement of Manggarai Gate to reduce the flood hazard at Manggarai flood-prone areas located in the upper part of this gate. An additional gate section was conducted in 2015 as the structural flood hazard reduction effort to increase the capacity of this gate from 330 m3/s to 507 m3/s. Recorded floods characteristic event before and after this improvement was compared to determine the flood hazard changes during the flood observation period. Based on this determination results it is found that the contribution of the increment capacity of Manggarai gates in reducing the flood hazard depends on the sustainability of the river capacity, river water quality, and flood control operation. It could also be concluded the sustainability of the river capacity and river water quality is very sensitive to the social behavior of the community and the river stakeholder along the river catchment area in addressing the environmental condition of the river catchment area. © Published under licence by IOP Publishing Ltd.

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Study on mini UAV designs to payload requirements by airplane sizing methodology

Study on mini UAV designs to payload requirements by airplan...

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作者： Hung, Chien-Chun Lin, Chao-Hung Teng, Yao-Jen Chang, Chih-Ming Wu, Yi-Kuang Department of Mechatronic Energy and Aerospace Engineering Chung Cheng Institute of Technology National Defense University Tahsi Taoyuan 33509 Taiwan Doctoral Program School of Defense Science United States

ISBN: (纸本)9781600867439

The methodology for sizing airplanes that adapted to design uninhabited air vehicles with 20 to 50 pounds against payload goals is described in this paper. Focus is on importance of the unique characteristics of this sort of flying objects and how to deal with them. Features of several rivals designed to participate in Taiwan Robot Aircraft Design Competitions are discussed and further research is suggested finally.

关键词： Machine design

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Agricultural Uses of Fishpond Sediment and Sustainability of Asian Integrated Farming Systems

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Asia-Pacific Journal of Rural Development 2004年第1期14卷 87 - 94页

作者： Md. Mizanur Rahman Doctoral Student Agricultural and Aquatic Systems and Engineering Program Asian Institute of Technology (AIT) Pathumthani Thailand. E-mail:

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